Publication No: 820-R-14-003
FINAL PEER REVIEW REPORT
External Peer Review of EPA's Draft Document
Fish Consumption Rates
Peer Reviewers:
Patricia M. Guenther, Ph.D., RD
Dale Hattis, Ph.D.
Kenneth M. Portier, Ph.D.
Janet A. Tooze, Ph.D., M.P.H.
Contract No. EP-C-13-010
Task Order 2013-05
February 1, 2014

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External Peer Review of EPA's Draft Document Fish Consumption Rates
TABLE OF CONTENTS
I.	INTRODUCTION	1
II.	CHARGE TO REVIEWERS	2
III.	GENERAL IMPRESSIONS	4
IV.	RESPONSE TO CHARGE QUESTIONS	7
Charge Question 1	7
Charge Question 2	9
Charge Question 3	13
Charge Question 4	15
Charge Question 5	18
Charge Question 6	23
Charge Question 7	24
Charge Question 8	27
Charge Question 9	28
Charge Question 10	30
V.	INDIVIDUAL REVIEWER COMMENTS	31
Patricia M. Guenther, Ph.D., RD	32
Dale Hattis, Ph.D	37
Kenneth M. Portier, Ph.D	43
Janet A. Tooze, Ph.D., M.P.H	57
Attachment A: EPA's Draft Document "Fish Consumption Rates"	63
Attachment B: Mark-up of Draft Document by Patricia M. Guenther, Ph.D., RD	64
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I. INTRODUCTION
In October 2000, the Environmental Protection Agency's (EPA) Office of Water (OW)
published a document titled, "Methodology for Deriving Ambient Water Quality Criteria for the
Protection of Human Health." This document presented EPA's recommended methodology for
developing human health ambient water quality criteria (HHAWQC) as required under Section
304(a) of the Clean Water Act (CWA). For each pollutant, chronic criteria were derived to
reflect long-term consumption of fish and water. The fish consumption rate recommended for
use in calculating human health criteria in the 2000 Methodology was derived from an analysis
of the 1994 to 1996 data from the USDA's Continuing Survey of Food Intake by Individuals
(CSFII) Survey.
As fish consumption may have changed over the past decade and new analytical methodologies
have been developed, OW has conducted a new analysis of fish consumption rates (FCR). These
new FCRs were estimated using data from the National Health and Nutrition Examination
Survey (NHANES) 2003-2010. NHANES is a continuous survey designed to collect data on the
health and nutritional status of the U.S. population.
EPA's draft document (Attachment A) presents the methodologies used to extract fish
consumption data from the NHANES datasets, including the habitat apportionment
methodology, the trophic level assignment methodology, and the statistical methodology using a
modified version of the NCI Method. EPA intends to use the analyses of the NHANES data
described in the document for peer review to update the general population fish consumption rate
recommendations in the 2000 Methodology. EPA also intends to provide the data publically for
use by states and tribes in generating more site specific HHAWQC with more localized data.
The purpose of the requested letter review was for EPA to receive written comments from
individual experts on the scientific merit of the document, appropriateness of the assumptions
made, methods utilized, and quality and relevance of the data.
Peer Reviewers:
Patricia M. Guenther, Ph.D., RD
Guenther Consulting
Salt Lake City, UT
Dale Hattis, Ph.D.
Clark University
Worcester, MA
Kenneth M. Portier, Ph.D.
America Cancer Society
Atlanta, GA
Janet A. Tooze, Ph.D., M.P.H.
Wake Forest School of Medicine
Winston-Salem, NC
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II. CHARGE TO REVIEWERS
The National Water Program Guidance for fiscal year (FY) 2011 describes how the
Environmental Protection Agency (EPA), states, and tribal governments will work together to
protect and improve the quality of the Nation's water, including wetlands, and ensure safe
drinking water. The Guidance describes the key actions needed to accomplish the public health
and environmental goals proposed in the EPA 2010-2015 Strategic Plan. These goals are: Protect
public health by improving the quality of drinking water, making fish and shellfish safer to eat,
and assuring that recreational waters are safe for swimming.
Human health ambient water quality criteria (HHAWQC) for chemical pollutants are derived to
establish ambient concentrations of pollutants which, if not exceeded, will protect the general
population from chronic adverse health effects from those pollutants due to consumption of
aquatic organisms and water. The procedures for calculating HHAWQC were described in the
EPA's "Methodology for Deriving Ambient Water Quality Criteria for the Protection of Human
Health" (2000 Methodology) EPA-822-B-00-004 (USEPA 2000). For each pollutant, chronic
criteria are derived to reflect long-term consumption of fish and water. The fish consumption rate
recommended for use in calculating human health criteria in the 2000 Methodology was derived
from an analysis of the 1994 to 1996 data from the USDA's CSFII Survey. The recommended
fish consumption rate of 17.5 g/day represents the 90th percentile of the 1994-96 CSFU data for
the adult population (Jacobs, et al). This value also represents the uncooked weight estimated
from the CSFII data, and represents intake of freshwater and estuarine finfish and shellfish only.
The EPA believes that States and authorized Tribes should have the flexibility to develop
criteria, on a site-specific basis, that provide additional protection appropriate for different or
unique populations. The EPA is aware that exposure patterns in general, and fish consumption in
particular, vary substantially. The EPA understands that unique or highly exposed populations
may be widely distributed geographically throughout a given State or Tribal area. The EPA
recommends that priority be given to identifying and adequately protecting these unique and
highly exposed populations.
The report submitted for peer review documents an analysis of the 2004-2010 NHANES data on
the fish consumption and the association of fish consumption with geography, age, sex, ethnic
race, and income.
Charge Questions:
1.	Is the document logical, clear and concise? Explain. If not, how could the document be
improved?
2.	Were scientific and statistical assumptions explained and are they appropriate? Explain.
3.	Has appropriate literature been cited? Explain. Are there publicly available, peer-reviewed
papers that should be included? Explain.
4.	Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
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a.	Please comment on methods for calculating fish consumption rates.
b.	Please comment on the means for combining fish frequency data.
c.	Please comment on the method used to apportion species.
5.	Please comment on appropriateness of the models used for estimating fish consumption rates,
focusing on both the "NCI method" and the "modified EPA method."
a.	Is the EPA method clearly described and supported? Explain.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
6.	Is the EPA method adequate for accomplishing the objective? Explain.
7.	Specifically in regards to the analysis:
a.	Were sufficient information and explanations given that describes how the data were
used and what criteria were used to determine the suitability of the data? Explain.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how
could the methodology could be improved?
8.	Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?
9.	Are scientific uncertainties explained and are they appropriate? Explain.
10.	The data used in the analysis have been subdivided based on demographic and geographical
characteristics of the respondents. Are the subsets of data sufficiently robust to characterize
fish consumption within the subgroups for the purposes stated in the report? Please provide
your response for each of the major subgroup categories included in the main body of the
report.
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III. GENERAL IMPRESSIONS
Patricia M. Guenther, Ph.D., RD
In general, the methods and procedures should be clear enough so that they could be
independently produced; this is not the case for how the dietary data were handled.
It is not possible to judge the accuracy of the information presented because it is impossible to
know exactly what types of fish and the exact amounts of fish that were consumed by the survey
participants. One must assume that the reports of 24-hour dietary intake were accurate, precise,
and unbiased; and this should be stated in the report.
The limitations of the standardized recipes used for mixed dishes were not mentioned. This
probably is not an important factor because most fish are probably not consumed as part of a
mixed dish; however, it should be mentioned.
It is not stated anywhere that the amounts presented in the tables are uncooked amounts of fish.
How the cooked amounts reported by survey participants were converted to uncooked amounts is
unclear. It is also unclear if the uncooked amounts are for the edible portion of fish or for the
entire fish.
I leave it to the statisticians to decide if the statistical methods used are clear and sound;
however, it does seem that the modified NCI method yielded results that are fit for use in terms
of how close they are to estimates from the original NCI method.
Dale Hattis, Ph.D.
This is a very good piece of work, applying very sophisticated statistical methods to the available
data. However, it could be improved by adding a discussion chapter that analyzes and
summarizes the findings relevant to risk assessment. I have done some preliminary analysis of
geometric means and geometric standard deviations for total fish consumption from probability
plots of the percentile information (see table on the next page.) Using this kind of analysis, the
reader could be informed, for example that among racial groups, the "other race" category stands
out as having higher overall fish consumption than other races. I assume this is due to the
inclusion of Native Americans in that group, some of whom are subsistence fishers and are
particularly at risk for high consumption of locally-caught fish and shellfish. It is also of interest
that women of child-bearing age have slightly smaller geometric mean consumption but a greater
apparent interindividual variability in consumption than other age/sex groups. Another aspect
that could be improved would be to provide an additional set of data tables in which the
dependent variable was not raw grams consumed per day per person, but grams consumed per
kilogram of body weight. This could be readily done using the same methodology because the
NHANES data include individual body weights. Finally, I think it would be helpful to show
calculations of geometric standard deviations by the various breakdowns in the detailed tables so
that the reader could appreciate (1) which groups have more or less variability in fish
consumption and (2) so that comparisons could be made to long-term biomarkers of fish
consumption, such as methylmercury and PCB blood concentration distributions. These latter
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statistics may be in part available from other measurements in the NHANES data. In addition, I
published some older data on these variables:
Hattis, D. and Burmaster, D. E. "Assessment of Variability and Uncertainty Distributions for
Practical Risk Analyses" Risk Analysis, Vol. 14, pp. 713-730, 1994.
Table of Results of Lognormal Fitting to the Consumption Percentiles for All Fish
(Based on Data from Table 6a)

Geom Mean
Geom. Std
Group
(g/day)
Dev.
All adults
14.61
2.247
Males
17.02
2.216
Females
13.03
2.216
Women 13-49
9.66
2.512
21-35
11.56
2.498
35 -<50
14.62
2.172
50-<65
20.33
2.025
65+ yrs
13.21
2.218
Non-Hi sp White
13.67
2.231
Non-His Black
16.78
2.090
Other Race
27.39
2.044
Kenneth M. Portier, Ph.D.
Overall, I find the report readable, stays on topic and comprehensive. There are very few areas
needing major revision and the writing is clear and concise with very, very few spelling errors.
This said, I do see an alternate way of reorganizing the information in Chapter 4 to improve flow
and understanding (see responses to charge questions 1 and 3 specifically).
Janet A. Tooze, Ph.D., M.P.H.
I found the layout of this report to be presented in a logical, clear, and concise manner. The
classification of the fish groupings from the 24-hour recall data appeared to be done
appropriately using the NHANES data as well as other sources. Being able to obtain the
information from NHANES on geographical region is a strength. The tables are clearly
presented and are provided for a broad range of fish type and subgroup. The document
demonstrated a sound understanding of the NCI method. However, there are serious concerns
about the validity of the estimates produced by the modified EPA method. In particular, this
method makes a number of approximations to the NCI method, but it does not fully explore the
implications of each of these approximations, nor does it fully justify the approximations that are
made. Furthermore, details were lacking regarding some of the statistical methods including:
validation of the modified EPA Method, construction of BRR weights, inclusion of covariates in
models, and construction of subgroup estimates. From the report, it is not apparent that the time
savings from making a number of approximations in the modified EPA method is worth the
potential loss in bias and efficiency of the estimates produced. The dataset that was constructed
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of fish consumption for NHANES participants appeared to be developed making reasonable
assumptions and I have no concerns about the dataset used. I am concerned that the statistical
methods utilized to estimate the distribution of usual fish intake is not well justified, and could
lead to biased estimates.
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IV. RESPONSE TO CHARGE QUESTIONS
Charge Question 1
Is the document logical, dear and concise? Explain. If not, how could the document
be improved?	
Patricia M. Guenther, Ph.D., RD
In general, yes; however, the dietary data processing needs to be described more clearly.
Dale Hattis, Ph.D.
Yes. However, it could go into more detail for the non-statistician on the choices of
distributional methods. Overall these seem reasonable, and the comment that there is very little
difference between log-logistic and lognormal distributions is helpful. It might also be helpful to
explain, if it is true, that the logistic distributions were selected for modeling because of greater
mathematical tractability than lognormals.
Kenneth M. Portier, Ph.D.
I found the document logically ordered and the writing clear and concise but confusing in a
couple of places.
The document defines its objective in the Background section and identifies the major data
source in Chapter 2.
Chapter 3 introduces the NCI method, which is again described in Sections 4.4.1 and 4.4.2. Not
certain why one even needs Chapter 3 since the material in Chapter 3 might be better as a
background section in Chapter 4 (or a new Statistical Methods Chapter).
Chapter 4 combines a number of "methods" that could very easily comprise their own chapters.
The methods discussion around habitat apportionment (Section 4.1) and trophic level assignment
(section 4.2) could be combined in one chapter describing how fish-related characteristics are
used in estimating (stratified) consumption rates. The specific comments to Question 2 suggest
some ways that these Sections (or new Chapter) might be better organized. In particular,
organizing the apportionment discussion around the "rules" and data sources used in
apportionment would improve understanding.
Section 4.3 on "Extracting reported amounts of fish consumed" could be a part of Chapter 2
since it really describes how the FNDDS files were processed to find food codes containing
finfish and shellfish, hence it tells us in more detail what NHANES data were actually used.
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Section 4.4 (Statistical Methods) deserves its own chapter (called Statistical Methods) since it
contains the key discussions of the NCI method for estimation of fish consumption and described
the modifications of this approach that constitutes the "EPA method." This discussion could
benefit from a short discussion relating sample size to estimate uncertainty to help answer the
question of "How many observations are needed to estimate consumption to a specified level of
precision?"
Chapter 5 (Results) can benefit from more discussion of model goodness of fit.
Overall, there is a need to standardize labels. In the report I find references to the "NCI method,"
the "NCI model," the "EPA model," the "EPA approach," the "EPA method," the "Modified
NCI Method" (page 22) and in the Figures, the "Westat Modified NCI Method." It initially was
difficult to know how many "methods" were really under consideration. Was it two or three?
Only after one reads Chapter 4 do you realize there are only two "methods," with two "models"
for each method, one for probability of fish consumption and one for amount of fish consumed. I
will refer to the NCI and the EPA "methods" in my remarks. Occasionally, I will refer to the
model for estimating the probability of fish consumption and the model for amount of fish
consumed for specific methods. There are also two "methods" for simulating UFC based on the
fitted NCI or EPA method estimated parameters and associated models.
Additional suggestions for report improvement can be found in my replies to the remaining
questions.
Janet A. Tooze, Ph.D., M.P.H.
In general, the document is clear, logical, and concise. The document is logically organized in
the order of presentation, and outlines all necessary sections of the study population, methods,
and results. The results are clearly presented. There are some details lacking in the statistical
analysis section (see questions 4 and 5).
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Charge Question 2
Were scientific and statistical assumptions explained and are they appropriate?
Explain.	
Patricia M. Guenther, Ph.D., RD
Yes, the assumptions underlying the NCI method were well explained. However, the
assumptions made about the standardized recipes in the FNDDS were not mentioned. A
statement of the assumption that the reports of 24-hour dietary intake were accurate, precise, and
unbiased is also missing.
Dale Hattis, Ph.D.
The statistical assumptions were described but the reasoning underlying them could have been
more fully explained (see previous comment).
Kenneth M. Portier, Ph.D.
I did not find any specific sections discussing scientific or statistical assumptions in the report.
Scientific and statistical assumptions seem to be discussed as needed throughout the document. I
think it is appropriate that it be done this way.
Further, discussion of assumptions is needed in a number of places as outlined below.
Page 1: We are told that the current default fish consumption rate (FCR) used by OW are the 90th
and 99th percentile estimates from the freshwater and estuarine fish consumption distributions
computed from the CSFII. When you get to the bottom of Page 2 you find that we will actually
be provided with "the UFCR estimates and 95 % CI of the mean and the 25th, 50th, 75th, 90th,
95th, 97th, and 99th percentiles." There is no discussion (or justification) for why these
particular percentiles (probably to illustrate the right tail of the consumption distribution which is
where risk assessment interest is greatest). Why not also provide 5%-tiles up to 95% and
illustrate the whole distribution?
Page 1: It is stated that "As fish consumption may have changed over the past decade..What is
the evidence for this as a reasonable assumption on which to justify the effort of creating new
estimates? [One or a couple of references to current studies, popular reports, NOAA landings
values, etc. would satisfy this need.]
Page 1: Reference is made to the NCI method. Have other methods been proposed but rejected?
Page 1: It is stated that "The calculation using the NCI Method are very time consuming." It is
assumed that either: 1) EPA does not have the time to make these calculations or 2) EPA cannot
find the computational power to makes these calculations in a reasonable amount of time. I don't
find this discussed anywhere. Acceptance of this assumption is key to justifying the development
and use of the EPA modified method.
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Page 2: Estimates are desired for 18 different categories of fish. It is assumed that each category
is important to some entity. Nowhere is there discussion as to why these categories specifically
are chosen.
Page 3: Chapter 2 discusses the NHANES as a quality source of finfish and shellfish
consumption for the general US population. Are we to assume that this is the only source of such
data? A discussion of other potential sources for fish consumption data and why the NHANES
was used is needed.
Page 5: The FNDDS is discussed in general (here, but in more detail in Section 4.3), but the
"science" behind this database merits at least a paragraph. This database is used in the critical
step of translating what is eaten (a menu item) to how much fish is consumed.
Page 7: The scientific and statistical assumptions of the NCI method are covered in Question 4.
Page 8: While "The assignments of species were completed by a fisheries biologist" it is not
clear what assumptions and/or rules were employed in this assignment. If I were to employ a
different fisheries biologist, would that individual come up with the same habitat apportionment?
By providing insight into the assumptions and rules used by the fisheries biologist, we are better
able to ensure repeatability (a scientific method characteristic) to this process. The "decisions"
listed in the four bullets are actually some of the "rules" used by the fisheries biologist in the
assignment. Are these all of the rules? It is clear that NOAA landings data factor into these
"rules" (Section 4.1.2). In addition, the final rule is "that unspecified fish consumed was assigned
the overall average habitat apportionment of all species reported consumed." Is this reasonable?
Page 11: The statement, "No species in a group was assigned 0 percent based on a 0 count in the
files, because it may be reported in another NHANES cycle," requires additional clarification.
What was the rule used to assign the value greater than zero?
Page 14: The fourth bullet on this page refers to "best professional judgment" and an example in
catfish is described. Is catfish the only NHANES grouping that is impacted by this "rule"? Table
3 might be modified to indicate which fish allocation is impacted by "best professional
judgment." The scientific issue here is repeatability.
Pages 17-20: Assumptions for statistical methods presented in Question 5.
Page 20: (Section 4.4.3) It is not clear from the first sentence in this section whether the bulleted
statements represent constraints on the NCI method estimates when used for simulating fish
consumption or whether these statements are constraints under which the NCI method estimates
are derived. I think these bullets are actually establishing the specific "reality" we are attempting
to simulate using the information from the fitted NCI model.
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Paragraphs 4 and 5 on page 54 (Section 5.4.2) initiate a discussion on model assumptions but
doesn't really take it very far. In paragraph 4, you say "The validity of these assumptions can be
discussed and, to some extent evaluated using data." but don't elaborate. Maybe a little
elaboration is justified. At the bottom of page 54, you write "In our opinion, the NCI method
makes reasonable assumptions and, given the assumptions, has adequate sample size to provide
estimates with little bias relative to the confidence interval width." I personally tend to agree
with the report on this, but I suggest giving the reader a little more, especially about the
reasonableness of the method assumptions.
The issue of how fish never-consumers are handled is never addressed:
One issue that is not addressed in the report impacts how the results of this study are used
in a population risk assessments when the population consists of a fraction of individuals
who, for personal reasons, never eat fish. Estimates of US residents who self-report as
vegetarian or vegan range (not fish consumers) from a low of about 2.5% to a high of
about 13.7% of the population (see
http://en.wikipedia.ors/wiki/Vesetarianism in the United States#USA for details).
The NCI and EPA methods seem to assume that every individual who provides data via the
NHANES 24-hour or 30-day surveys has a positive probability of consuming fish over the
covered time period. In statistical jargon, they assume an underlying continuous
distribution of consumption. With this assumption, for any individual if we were able to
effectively record consumption for a long enough period of time, every individual would be
observed eating fish at least once in that time period. The reality is that the underlying fish
consumption distribution is a mixture distribution with a positive probability of fish non-
consumption (of say p . 025 to .137) and one minus this probability of consumption.
The problem lies in that the NHANES survey does not have a question that identifies
individuals who would "never eat fish, " hence it does not allow us to easily split out "fish
consumers" from "fish non-consumers". The individuals who report no fish consumption
are a mixture of "never consumers " and "low likelihood consumers. " The NCI method
estimate of the probability of fish consumption in a 24-hour period essentially uses one
probability for the mixture. This issue is not a problem at the estimation phase but does
come up when the estimated model is used to simulate an individual's long-term
probability of fish consumption. The equations on page 21 suggest that the long-term
probability of fish consumption (Quj) will always be greater than zero (distribution is
assumed Logistic, a continuous distribution, and hence the probability of a single value (0)
is zero.) But this model uses the estimated 24-hour consumption probability (P, page 19)
that includes the mixture. So, the problem is that the simulation is really about fish
consumers, but one of the parameters used in the simulation (P, which affects the estimate
of the other "pi s ") represents both consumers and non-consumers. The ultimate result is
that the percentiles for the fish consumption distribution are all likely to be over estimates
which conveniently adds a conservative lean to population risk assessments.
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Janet A. Tooze, Ph.D., M.P.H.
The document demonstrates a thorough understanding of the NCI method and the assumptions
that it makes. There are no concerns about the implementation of this method; however, it was
only used to compare to the EPA method, not to make the estimates in the report. The authors
used what they are calling the modified EPA method to produce the tables in this report, and the
implications of the assumptions of this method are not as clearly described as the assumptions of
the NCI method. In Section 5.4.2, the assumptions made and discussed are that of the NCI
method; however, the modified NCI method is what is used in this report, and the assumptions
that it makes should be addressed in this section, rather than that of the NCI method. It is not
clear from this report that the authors understand what the implications of the assumptions of this
modified EPA method are. For example, the authors compare their method to the NCI method,
and show that in some cases it provides higher estimates than the NCI method. However, it is
not clear from the report why this is so, and what assumptions of their method lead to this
potential bias.
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Charge Question 3
Has appropriate literature been cited? Explain. Are there publicly avail able, peer-
reviewed papers that should be included? Explain.	
Patricia M. Guenther, Ph.D., RD
For the most part, yes. The Freedman paper is irrelevant to this analysis and should be omitted. It
may be helpful to list Kipnis et al., 2009, "Modeling data with excess zeros and measurement
error: application to evaluating relationships between episodically consumed foods and health
outcomes," Biometrics 65, 1003-1010, because it demonstrates the usefulness of food frequency
data as covariates (although for a different purpose).
Dale Hattis, Ph.D.
These might be cited for background and for the distributions of exposure to seafood-borne
contaminants:
Hattis, D. and Burmaster, D. E. "Assessment of Variability and Uncertainty Distributions for
Practical Risk Analyses" Risk Analysis. Vol. 14, pp. 713-730, 1994.
Hattis, D., "Using Indicator Information for Managing Risks," Chapter 14 in: Environmental
Indicators and Shellfish Safety. C. R. Hackney and M. D. Pierson, eds., Chapman & Hall, New
York, pp. 364-380, 1993.
Ahmed, F. E., Hattis, D., Wolke, R. E., and Steinman, D., "Human Health Risks Due to
Consumption of Chemically Contaminated Fishery Products," Environ. Health Perspect., Vol.
101 (Suppl. 3), pp. 297-302, 1993
Probably there are other more recent references that would be appropriate for similar reasons.
Kenneth M. Portier, Ph.D.
A number of places need citations.
Page 1: References to justify the statement that fish consumption rates have been changing.
Reference to increasing NOAA landings values might suffice here, although looking at NMFS
total landings data suggests decreased tonnage from 1993 to 2012 (4.6 MT in 1993 to 4.2MT in
2012).
Page 8: The second bullet incorporates a quote but there is no indication where this quote comes
from. (I assume this is part of the Clean Water Act, but not certain.) This statement also requires
further clarification since the current sentence structure is complex making it difficult to
understand.
Page 13: The two references used for tropic level assignments are EPA technical reports from
2002 and 2003. Have these documents been examined recently to ensure they continue to
describe "best science?"
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Page 22: Section 4.4.4 - This section should be significantly increased. A reference for method of
computing confidence limits on the log scale and back transforming is provided below. The
method for using full sample weights and replicate weights with NHANES data can be
complicated for the uninitiated. I don't think the NHANES web site provides sufficient
information for the reader of this report to understand how weights should (are) used in the
analysis. The design effects discussion in the NCHS 2005 reference given is inadequate for this.
A reference or two here, and/or a short discussion in an appendix, would ensure that future
readers are not confused on what was done here. The four steps for computing the CIS really
need to be described in greater detail. Again, the issue here is ensuring that readers are able to
replicate the report results (scientific validity).
Gilbert, Richard O., Statistical Methods for Environmental Pollution Monitoring, 1987, Van
Norstrand Reinhold, NY, NY, Chapter 13 Characterizing Lognormal Populations, pp 164-176.
Page 22: A reference/web link for the MIXTRAN macro is needed.
Janet A. Tooze, Ph.D., M.P.H.
It appears that appropriate literature has been cited in this report, with the exception of the
modified EPA method that is presented. No literature is cited to support the modified EPA
method that is used for the estimates given in the table. It appears to be an ad hoc method that
has not been peer reviewed.
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Charge Question 4
Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
a.	Please comment on methods for calculating fish consumption rates.
b.	Please comment on the means for combining fish frequency data.
c.	Please comment on the method used to apportion species.	
Patricia M. Guenther, Ph.D., RD
a.	Please comment on methods for calculating fish consumption rates.
The modifications made to the NCI method seem satisfactory, but I defer to the statisticians.
b.	Please comment on the means for combining fish frequency data.
If this refers to Section 2.2.2, then the methodology is appropriate.
c.	Please comment on the method used to apportion species.
Reasonable.
Dale Hattis, Ph.D.
Yes, except that for understanding dosage distributions. I think it would be helpful to calculate
fish consumption per unit body weight per day in addition to raw fish consumption per day.
a.	Please comment on methods for calculating fish consumption rates.
These seem reasonable and generally appropriate.
b.	Please comment on the means for combining fish frequency data.
As far as I could tell, the authors also seem to have made reasonable choices here.
c.	Please comment on the method used to apportion species.
Seems OK.
Kenneth M. Portier, Ph.D.
I will assume that this question is asking about the methodology of processing the NHANES data
to obtain short-term fish consumption likelihood and amount. Questions 5 and 6 ask for specific
comments on the NCI and EPA modified methods for estimating long-term probability of fish
consumption and amount consumed distributions.
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The approach requires two broad steps. First is obtaining food consumption and from these self-
reported types and amounts, estimating the amount of fish consumed. These data also allow
estimation of the short-term probability (likelihood) of fish consumption. Next is to model the
likelihood and amount of fish consumed, as obtained from NHANES, in such a way that the
parameters of interest for risk assessment, the long-term fish consumption probability or
likelihood, and the distribution of fish consumption (intake) given reported consumption are
estimable. These two components are then used to estimate usual fish consumption (intake) as a
long-term mean. This approach is both practical and has historically been used by others.
a.	Please comment on methods for calculating fish consumption rates.
The method used to estimate the amount of fish consumed using NHANES data and detailed
recipe analysis is state of the science.
There is no discussion in the report about the uncertainties associated with the fish proportions
associated with each food code presented in Appendix B. In addition, the uncertainties associated
with percent moisture loss for each processing method in Table 4 are not discussed or provided.
In the future, if someone was interested in understanding how variation in fish proportions in
foods or moisture loss in processing methods impacts the usual fish consumption estimate (e.g.
sensitivity analysis), it would be beneficial to have published standard errors of these key
proportions. I do not know if standard errors are available from the original sources of these data.
b.	Please comment on the means for combining fish frequency data.
The data needed for the NCI and EPA modified models is Aij, the amount of fish consumed, in
grams, reported in a 24-hour dietary recall. This amount can represent all fish and/or shellfish,
or can represent some subset of fish groupings, tropic class, or habitat class (defined in Chapter
4, Sections 4.1-4.2). In this report, the food codes (recipes) were decomposed to provide the fish
proportion of the food and multipliers to which are used to calculate total fish and fish/shellfish
subsets. This is all straightforward.
The text does not describe how the multipliers in Appendix B are actually used. I had to work
through the following example to understand these. An example like this should be placed in the
report somewhere to help the reader interpret the column heading and the values therein.
Let's examine the first line of Table B-l, "Shrimp dip, cream cheese base." Assuming one
gram of this recipe, we would have .262 grams of fish or shellfish. To adjust for moisture
loss (25%), the .262 grams would be assumed to be 75% of what was originally there.
Hence, the pre-processed amount of fish would be ,262/.75=349 grams. This value (.349)
is identical to the "Multiplier for total fish" so this column identified the amount of pre-
processed fish in the recipe. I assume the .062 value for "Multiplier for marine fish" then
indicates the amount of marine fish in the pre-processed recipe that produced one gram of
final food. Since shrimp is the only fish in the recipe, we use the marine proportion for
shrimp in Table 1 to assign 17.6 of the total fish to marine (.349 x .176=. 062). And so on
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c. Please comment on the method used to apportion species.
Overall, I have little to say about the apportionment of species other than the comment in
Question 4b above on use of multipliers, and Question 2 comments for pages 8 and 11 about
replication of "professional judgment."
Janet A. Tooze, Ph.D., M.P.H.
The methodology for creating the dataset of fish consumption by individuals in NHANES from
the FNDDS files for the 24-hour recall appears to be appropriate. The statistical methods used to
estimate the distribution of the fish consumption dataset are not well-validated, and may produce
biased estimates.
a.	Please comment on methods for calculating fish consumption rates.
The methods for estimating the distribution of fish consumption are based on the modified EPA
method. It appears that this method was created for this project to estimate the distribution of
fish consumption in order to provide estimates of consumption more quickly than using the more
time consuming NCI method. In order to do this, the authors made a number of simplifications
to the method with respect to the transformation selected, the modeling of probability of
consumption, the modeling of the consumption day amount, the simulation of the usual fish
consumption, how subgroup estimates were derived, and the calculation of the confidence
intervals. Although there are well-accepted methods for modeling repeated measures binomial
data (including generalized linear mixed effects models, which the NCI method uses, and GEE),
the report presents what appears to be an ad hoc approach that is not cited in the statistical
literature, nor is well validated in this report. Although this method saves computing time, it
appears that it may lead in some cases to biased estimates of fish consumption rates for the US
population.
b.	Please comment on the means for combining fish frequency data.
The methodology for extracting the reported amounts of fish consumed from the 24-hour recall
using the FNDDS files appeared to be appropriate. With respect to the statistical methodology, it
is not clear if (and how) the 30-day fish consumption frequency data from the questionnaire were
used as a covariate in statistical models; this is an appropriate way to use this information, but it
is not clear if it was used in this manner.
c.	Please comment on the method used to apportion species.
The method used to apportion species appears to be appropriate based on the food codes and the
supporting data presented in the report.
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Charge Question 5
Please comment on appropriateness of the models used for estimating fish
consumption rates, focusing on both the "NCI method" and the "modified EPA
method."
a.	Is the EPA method clearly described and supported? Explain.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
Patricia M. Guenther, Ph.D., RD
a.	Is the EPA method clearly described and supported? Explain.
Defer to the statisticians.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
I believe so, but defer to the statisticians.
Dale Hattis, Ph.D.
a.	Is the EPA method clearly described and supported? Explain.
Yes. The comparisons indicating comparable results for the modified EPA method and the NCI
method build confidence. However, aside from leaving out some specific variables, I was not
clear on the exact differences between the methods.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
They seem to be reasonably well identified, although a clearer summary would be helpful. The
assumption of normality in the transformed parameters seems a reasonable approximation but the
difference between the actual data and the distribution imposed by the normality assumption
could be more explicitly shown to the reader to further build confidence in the method and
results.
Kenneth M. Portier, Ph.D.
I would like to make a few remarks about the NCI method here since the specific sub questions
focus on the EPA method. These comments relate to Section 4.4.2.
The first paragraph states that "The NCI method can be implemented using two SAS macros..."
Does this mean that the reader can use this tool but for this report a different approach was used?
Or does this mean that for this report the NCI method "was implemented" in SAS using two
macros that can be obtained from the NCI? (But it doesn't tell me now to get them... do I write
the Director?)
In the second paragraph:
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•	The limits on k are not defined. What are the covariates? Are they all continuous,
all categorical or mixed?
•	It would be clearer if you specified that j=1 for most individuals and only a few
individuals have j={ 1, 2}.
•	Given that "The usual daily consumption is the weighted average of the weekday
and weekend estimates" and given Friday is part of the weekend, the weights for
this weighted average would be 4/7 x (Weekday average) + 3/7 x (Weekend
average). Is this correct? Unclear.
•	What are the default starting values that NLMIXED uses to initiate its search
(provide in a table or define how computed)? Are the MIXTRAN and DISTRIB
macros to be provided in the report so that an informed user could examine this
code to determine this? (issue of repeatability)
•	Cij is never defined (assumed to be "indicator of consumption").
•	The X is not defined (the Cox transformation parameter).
•	The TCi are not defined as the person level effects for likelihood of consuming fish.
•	The otij are not defined as the person level effects for amount of fish consumed at
the jth 24-hour recall.
•	The 7Txk are not identified as the coefficients that relate covariates to likelihood of
fish consumption.
•	The axk are not identified as the coefficients that relate covariates to amount of
fish consumption.
•	Note it might be nice to indicate that in this model, Cij, otij and m are all random
effects, the rest of the parameters are fixed effects.
Note that Pij is the probability of consuming fish in a 24-hour period.
According to this model, 0 < Pij < 1.
Py can never be 0 or 1 for any individual which assumes there are no fish non-consumers in
the fitted data. Since it is highly likely that this is not true, the model is not quite realistic for
its given data.
a. Is the EPA method clearly described and supported? Explain.
The description of the EPA method begins at the bottom of page 18. It would be better if the
EPA method had its own section separate from the description of the NCI method.
First, I think it is very important to state in a way that the reader notices it, that from one method
fit to one set of fish consumption data, all of the sub-population estimates are derived. That is, all
of Table C-l comes from one fit of the EPA method run applied to the total finfish and shellfish
consumption data. The estimates of the model parameters obtained from the fit of the method to
the data provide everything needed to compute all of these consumption distribution estimates.
This tends to get lost in the report. This is important statistically because all of the data (for fish
subset being run) are used to estimate the model parameters and, hence, all of the data are
factored into subsequent confidence intervals. You aren't running fits to smaller and smaller
datasets for subpopulations which would produce even wider confidence intervals.
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The justification for simplifying the NCI method for parameter estimation is weak and I feel
should be discussed in more detail. Some statistics on run times for the NCI method, run on a
current model PC and used to estimate one fish consumption scenario, would likely be
justification enough. Is the NCI method susceptible to running distributed on a computer grid
(such as the World Community Grid - http://www.worldcommunitvgrid.org/) where thousands of
computers could be used to produce the needed results? If so, that weakens the need for a
modified method.
The last paragraph on page 18 is actually a synopsis of the EPA method, used before you get into
the formal details of the method. Rather than talk about what the SAS macro does, talk about the
modification to the NCI method and then simply indicate that the approach has been
implemented into a SAS macro called ??? (name never given) and available from ??? (location
not provided).
You indicate the use of a "normal scores plot" (a q-norm plot I assume) as an aid to determining
the initial lambda* estimate (Box and Cox power transformation parameter). Exactly how is this
done? Can you provide a reference to this approach? A good discussion and references to
estimating the Box and Cox transformation parameter can be found in:
Piegorsch, Walter W. and A. John Bailer, 1997, Statistics for Environmental Biology and
Toxicology, Chapman & Hall, London, GB, Pages 130-131
It might be clearer if you list the EPA modified procedure as a series of steps. (I did this to help
me understand the method but suggest it might also help other readers.)
Step 1; compute the four summary statistics for each individual.
Step 2; fit the logistic regression model.
Step 3; iteratively fit the constrained logit model to minimize a weighted Chi square
statistic and estimate individual level effects for the probability of fish consumption.
Step 4; estimate the correlation between person-level random effects by using the residuals
from the probability model as a predictor in the amount sub-model. Fit the amount sub-
model using only records from the first 24-hour recall.
Step 5; estimate the within-person variance component.
Step 6; estimate the person-level random effect variance.
The four equations found on the fifth line of page 19 should be stacked to be consistent with
other equations. If you list these statistics vertically, you can add their "labels" to the right and
remove the next two lines. Since j can at most be equal to 1 or 2, you are only averaging,
summing or counting for a few individuals.
The statement "The person-level random effect is included by assuming the predicted logit when
excluding the random effect is proportional to the predicted logit when including the random
effect." is not clear at all. It made more sense AFTER I look at equation 4 on page 19.
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Ok, here is where I get confused. In equation 4 you have log (P/(l-P)) as the response in the
logistic regression. But for this to work shouldn't the P be Pi? But then in equation 5 you use Pi
in the response and regress it against the logit of the Pi? Is the critical element here that equation
4 is fit incorporating survey weights, whereas equation 5 does not use the weights? Please
clarify.
Equation 5 basically says that the observed and (survey weighted) predicted Pi are proportional
to each other and the residual is the individual level effects. This is not a particularly intuitive
relationship and seems to be the key to why the EPA method would work. I think it is really
important to motivate this step. Why would you expect this to work? How do you know that this
results in normally distributed to?
You write that "Calculation of standard errors requires: 1) calculation of replicate weights
consistent with the NHANES survey design and strata and PSU variables; 2) running the macros
using the full-sample weight and each replicate weight; and 3) combining the results to estimate
the standard errors." I assume this is true for both the NCI and EPA method. I assume that these
calculations occur each time SAS Proc SurveyReg is used. The reader needs to know or
understand Proc SurveyReg to understand the importance of this quote. Another place a
reference is needed.
b. Are uncertainties in the EPA model identified and characterized? Explain.
There is no place in the report where NCI or EPA method parameter estimates and their
corresponding standard errors are displayed (uncertainty relates to parameter precision).
Estimates and approximate standard errors must have been calculated for all model parameters -
these would be required output from the statistical estimation routines. Not sure most readers
would be interested in seeing these estimates in the body of the report, but since these estimates
are important for the simulation of UFC these values should be available, either in an appendix
or in an online file (repeatability issue again).
Nowhere is goodness of fit for either model discussed (prediction uncertainty). Do these models
fit equally well for particular data? Since the methods predict two outcomes, probability of fish
consumption (logistic regression) and amount of fish consumption (regular regression), you
would need two tables. An adequate (generally accepted) goodness of fit statistic like the R2 for
regular regression is not available for logistic regression. Reporting the final scaled deviance
would allow comparison for the logistic regressions. Along with the number of parameters in the
model, these statistics form the basis for many proposed goodness of fit statistics for generalized
linear models and hence might be the minimum required fit information that would need
reporting. There are similar issues with the Cox and Box transformed linear regression since the
R2 statistic is actually a function of the lambda* estimate. Still, reporting R2 values would allow
some comparison.
Section 4.4.6 compares the predicted UFCR from the two fitted methods. This is not the same as
the model fit which examines predictions to actual for a specific model and data set. Both the
NCI and EPA methods might predict the observed data adequately and still differ in predicted
UFCR values.
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Janet A. Tooze, Ph.D., M.P.H.
a.	Is the EPA method clearly described and supported? Explain.
As cited in the response to 4a, the EPA method is not well supported by the report. There are no
citations to the statistical literature to support its use. There are no simulation studies to show
that it will provide unbiased estimates, efficient estimates of usual intake (under the assumptions
that the 24 hour recall is unbiased). It is described in the report, although some key details, such
as how the BRR weights were created and used, are omitted, and the methods are not well
justified.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
The statistical models used are described for estimating probability, amount, and the simulations.
The statistical methods regarding the calculation of confidence intervals and BRR weights are
not well described in the report. The number of simulations used to estimate the distribution
(N=5 vs N=100 for NCI method) is not well justified. To fully identify and characterize this
model would require a more extensive analysis with statistical simulations and comparison to the
NCI method and other methods for estimating the distribution of usual intake for different
scenarios of episodically consumed foods. Although estimating the SE for the percentiles is quite
time consuming, taking 64 BRR runs per models, the percentile estimates (without SEs) are
estimated from 1 run. The authors could have obtained these estimates for all the models and
compared them to the point estimates from the modified method.
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Charge Question 6
Is the EPA method adequate for accomplishing the objective? Explain.	
Patricia M. Guenther, Ph.D., RD
It seems reasonable.
Dale Hattis, Ph.D.
Yes, it seems to be quite adequate based on the comparisons provided.
Kenneth M. Portier, Ph.D.
Adequacy here relates to the extent to which the EPA method suitably duplicates the NCI
method results. Clearly the figures in the report indicate that on a distributional basis both
methods seems to produce similar fish consumption distributions so to this extent the EPA
method is adequate.
I still worry about the issue of fish never-consumers and how they are handled by both methods.
Of course, from a risk assessment point of view, fish never-consumers are never exposed to the
contaminants that might be found in fish and hence might be considered not part of risk picture.
Still, when examining population risks, ignoring fish never-consumers in these methods results
in risk being over-estimated (the risk distributions are shifted to the right).
Janet A. Tooze, Ph.D., M.P.H.
If the objective is to obtain an unbiased estimate of the distribution of the various types of fish
consumption in the report, under the assumption that the 24-hour recall provides an unbiased
estimate of fish consumption, then the EPA method does not appear to be adequate for
accomplishing this objective. It is not fully validated, and the results in Section 5.3 indicate that
it may be biased.
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Charge Question 7
Specifically In regards to the analysis:
a.	Were sufficient Information and explanations given that describes how the data
were used and what criteria were used to determine the suitability of the data?
Explain.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If
	not, how could the methodology could be improved?	
Patricia M. Guenther, Ph.D., RD
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
Not really. As stated above, the handling of the dietary intake data is unclear.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
The procedures/methods for handling the dietary data are unclear.
Dale Hattis, Ph.D.
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
The national representativeness of the NHANES data is fully described, as is the sampling
protocol and the use of the population weights. All of this seems appropriate.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
Yes. Only, I think in introducing the body weight factor to allow better representation of the
distributions of consumption controlled for this major variable.
Kenneth M. Portier, Ph.D.
I assume in my reply below that this question is specifically about Section 5.3 (and indirectly the
material in Section 4.4.3) where the NCI method is compared to the EPA method (which is
referred to only in this section as the Modified NCI method). To me, this section represents an
analysis of the EPA method.
a. Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
In Section 4.4.3, we are provided with the methodology for simulating UFC with the NCI and
EPA methods. After reading this section, I had a number of unanswered questions.
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The "modifications" listed in the three bullets at the bottom of page 20 really describe the
objective of the simulation exercise - a desire to compare UFC for a "standard week" ignoring
recall-to-recall and within person variability. I get this, but I am not sure WHY you might want
to limit the comparison this way. Justification or motivation needed here?
Why 100 simulated values for each person? Optimal? Adequate? Just a number used for
demonstration purposes (likely)? You fail to mention that you will be simulating fish
consumption for every individual for which we have fish consumption data from NHAMES. You
could just have likely created a synthetic cohort of fish consumers as the basis for the simulation.
Oh! There is that 3/7 weight which just shows up here without explanation. See bullet 3
question 5.
You need to make clear that the model parameter estimated values used for the NCI method
simulation are different from the model parameter estimated values used for the EPA method
(another reason to report these estimates in a table somewhere). Similarly, the lambda values
used in the back transformation, Bui, values may be different for the NCI and EPA methods.
The statement "This equation includes an adjustment with the within person variance in the fish
consumption amount (uf ). This adjustment makes the untransformed fish consumption
essentially unbiased compared to the original mean across the 24-hour recalls." needs a reference
at a minimum and maybe even some motivation for why this is even needed.
How often is a simulated Tui < - 1/A.? Does this happen more often for the EPA method?
OK, so 100 Qui and Tui are available for each individual. How do I interpret these values?
Theoretically, an individual has only one true "long-term probability of fish consumption." The
average of the 100 QuiS is an estimate of this true value. Does this mean that the variance of
these QuiS is an estimate of the uncertainty in our estimate for individual i? Same for the Tui.
The first time I read the equation at the top of page 22 I thought that you were multiplying the
mean Qui with the mean Tui to get the UFC for individual i, but actually you are computing 100
UuiS and then computing the mean (call it Ui) of these values to get the UFC for individual i. Is
this correct? Oh, wait, you use the NHANES survey weights in here, so clearly you are
computing individual averages by method.
So, you DO NOT compare the Ui nci to the Ui epa but instead compare overall mean UFCnci to
UFCepa and compare distributional tiles with a quantile-quantile plot. I understand that and to a
certain extent it makes sense from a risk assessment point of view. What is important is that the
methods simulate similar UFC distributions, overall and for strata. Still, for a model goodness of
fit assessment, I would also be interested to see statistics/graphics that compared the Ui nci to the
Ui epa. Doing this comparison will require some careful thought. In particular, a randomly
simulated individual effect (for either probability of consumption or amount of consumption)
might be generated once and used in the appropriate place for the different NCI and EPA
methods to avoid the Ui nci to the Ui epa difference reflecting differences in random effect
values.
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b. Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
I think the methodology used to compare the two methods is appropriate and makes sense for a
tool focused to risk assessment. The methodology might be inadequate to aid understanding of
whether the EPA method and NCI method produce similar estimated UFC for individuals with
similar demographics.
Janet A. Tooze, Ph.D., M.P.H.
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
Further information could be given about the predictors used in each model. In Section 4.4.5, the
report cites that "all significant predictors" were used, but no criterion for significance is given,
and it is not clear which predictors were used in which models. Although Section 2.2.2 outlines
that the 30-d fish consumption frequency data could be used in statistical models, it is not clear if
these data were used in any models, as they are not included in the list of variables in Section
4.4.5. It is not clear if people were excluded if they were missing covariate data. Furthermore,
the methodology for creating subgroup estimates by age, gender, geographic region, etc. is not
described in the report. It is important to know if covariates were used to define subgroups, or if
the models were stratified by subgroup.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
I think it is appropriate to include all plausible 24-hour recall data from NHANES for this
analysis, as long as there are no apparent data entry or recipe errors. The report did not detail
whether any type of data cleaning was done.
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Charge Question 8
Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?	
Patricia M. Guenther, Ph.D., RD
Need to state in the text and tables that the results are uncooked amounts and for edible portion
only if that is the case.
Dale Hattis, Ph.D.
The results as far as they go are presented reasonably. As indicated above, I would like to see
further analysis of parameters relevant for risk assessment and singling out of particularly
important results for risk assessment implications.
Kenneth M. Portier, Ph.D.
My responses to all of the other questions contain suggestions for improving the presentation.
There are places where the material is not clear and the writing should be improved. There are a
couple of places where material that should appear together, such as the background for the NCI
method and the discussion of the method itself, are in separate chapters where they might be
better presented as one.
Janet A. Tooze, Ph.D., M.P.H.
The results presented in the report appear to be understandable and appropriate to the task. I
believe that the authors of the report presented what they were asked to do; however, I have
concerns with the validity of the estimates produced.
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Charge Question 9
Are scientific uncertainties explained and are they appro/mate? Explain.	
Patricia M. Guenther, Ph.D., RD
For the most part, yes, except as described above.
Dale Hattis, Ph.D.
Generally, yes. However, the key issue of within-person correlations of fish consumption
appears to be based on just two days for each individual. This means that the degree of
correlation of fish consumption on different days must be measured with some error. The degree
of uncertainty in estimates of the within-person correlation probably should be discussed as it
may tend to produce uncertainties in the allocation of variance between person-to-person
differences and within-person differences. In addition to this, the report explains that there are
reports of habitual fish consumption over a prior month. It would be good to see some explicit
analysis of these data, or at least a clearer explanation of how these data contributed to the
overall analysis.
Kenneth M. Portier, Ph.D.
I assume that this question is directed at Section 5.4 and my reply is focused on this section.
Section 5.4.1: How might the results have been changed if a different fisheries biologist been
used? Was the variability of NOAA landings from year-to-year incorporated in this analysis?
Section 5.4.2: The first sentence seems to imply that the largest portion of the uncertainty in CI
for the estimated distributional p-tiles (from the NCI method) comes from uncertainty in
estimation of the within- and between- person variance components. Is this correct? Was this
determined via a sensitivity analysis? Or was this determined by looking at the standard errors
for the variance component estimates? It might be useful to expand on this since this has
implications for future data needs (the need for more multi-day 24-hour recall records -
something many EPA scientific review panels have asked for).
When you say "The model," I suggest you use a more complete descriptor - "The NCI method."
Section 5.4.3 (page 55): This paragraph is difficult to read because the phrase "the weighting"
may not be clear to the reader. All the information is here, just improve the writing to be clearer
of what the message is. An illustrative example of the issues at stake might help here.
Section 5.4.4: The statement "However, they generally collect data in northern counties in the
summer and southern counties in the winter." represents in my mind the biggest shortcoming of
using these data for this analysis and the greatest potential for bias. I think this issue should also
be discussed closer to the beginning of the report.
Section 5.4.5: OK except the label "Modified NCI Method" should be standardized to the "EPA
Method."
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Janet A. Tooze, Ph.D., M.P.H.
Estimating usual fish consumption of specific species is a difficult task, and requires a number of
assumptions in terms of data summary and analysis. The way in which the data were
summarized appeared to be consistent with other studies and there was some discussion
regarding the assumptions with respect to regions, seasonality, and habitat. From my knowledge
of this area, these appeared to be appropriate. With respect to the statistical methodology, it
appears that there are additional uncertainties that were not addressed to the degree that they
could be (see my response to previous questions for details). It would be helpful to discuss the
statistical methodology used in the previous report, to explain the discrepancies between the
previous estimate of the 90th percentile of consumption compared to the new estimate.
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Charge Question 10
The data used in the analysis have been subdivided based on demographic and
geographical characteristics of the respondents. Are the subsets of data sufficiently
robust to characterize fish consumption within the subgroups for the purposes stated in
the report? Please provide your response for each of the major subgroup categories
included in the main body of the report.	
Patricia M. Guenther, Ph.D., RD
As stated in the report, it is preferable to estimate fish consumption for the subgroups using a
statistical model, rather than the same fish consumption rates for everyone.
Dale Hattis, Ph.D.
I think so.
Kenneth M. Portier, Ph.D.
The stratification or subdivisions seem reasonable and justified. The categories seem to cover
most of the fish consumption categories that would be needed for risk assessments.
Just a thought, not an action item: If I were to suggest one additional demographic factor it might
be education level coded at two levels; "high school diploma/GED and below" and "some
college and above." Education is highly correlated with income so most of the education effect is
captured by the finer coded income factor. The non-Hispanic White category has the highest
sample size and I wonder if it might be possible to break out a category of "Asian and Pacific
Islander" and/or "Native American/Alaskan Native." These two later categories are likely to be
higher consumers of fish but also, given the design of NHANES, are unlikely to be very well
represented in the sample and not represented at all in many geographic regions.
Janet A. Tooze, Ph.D., M.P.H.
Table C-56 details the number reporting fish consumption on both 24-hour recalls by fish type.
In general, one would want at least 50 participants per cell in order to estimate the variance
components for between and within person variation. As mentioned previously, it is not clear
exactly how the subgroup estimates were derived. If they were derived from covariates in one
large model, it may be appropriate to assume the same ratio of between with within variance
holds for the smaller subgroup. However, if the models are stratified by subgroup (which I do
not think they were, but it is not completely clear), then the sample size of some of these
subgroups would not be of sufficient size to produce stable estimates of variance components.
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V. INDIVIDUAL REVIEWER COMMENTS
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Review By:
Patricia M. Guenther, Ph.D., RD
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Peer Review Comments on EPA's Draft Document Fish Consumption Rates
Patricia M. Guenther, Ph.D., RD
Guenther Consulting
I.	GENERAL IMPRESSIONS
In general, the methods and procedures should be clear enough so that they could be
independently produced; this is not the case for how the dietary data were handled.
It is not possible to judge the accuracy of the information presented because it is impossible to
know exactly what types of fish and the exact amounts of fish that were consumed by the survey
participants. One must assume that the reports of 24-hour dietary intake were accurate, precise,
and unbiased; and this should be stated in the report.
The limitations of the standardized recipes used for mixed dishes were not mentioned. This
probably is not an important factor because most fish are probably not consumed as part of a
mixed dish; however, it should be mentioned.
It is not stated anywhere that the amounts presented in the tables are uncooked amounts of fish.
How the cooked amounts reported by survey participants were converted to uncooked amounts is
unclear. It is also unclear if the uncooked amounts are for the edible portion of fish or for the
entire fish.
I leave it to the statisticians to decide if the statistical methods used are clear and sound;
however, it does seem that the modified NCI method yielded results that are fit for use in terms
of how close they are to estimates from the original NCI method.
II.	RESPONSE TO CHARGE QUESTIONS
1.	Is the document logical, clear and concise? Explain. If not, how could the document be
improved ?
In general, yes; however, the dietary data processing needs to be described more clearly.
2.	Were scientific and statistical assumptions explained and are they appropriate? Explain.
Yes, the assumptions underlying the NCI method were well explained. However, the
assumptions made about the standardized recipes in the FNDDS were not mentioned. A
statement of the assumption that the reports of 24-hour dietary intake were accurate, precise, and
unbiased is also missing.
3.	Has appropriate literature been cited? Explain. Are there publicly available, peer-reviewed
papers that should be included? Explain.
For the most part, yes. The Freedman paper is irrelevant to this analysis and should be omitted. It
may be helpful to list Kipnis et al., 2009, "Modeling data with excess zeros and measurement
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error: application to evaluating relationships between episodically consumed foods and health
outcomes," Biometrics 65, 1003-1010, because it demonstrates the usefulness of food frequency
data as covariates (although for a different purpose).
4.	Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
a.	Please comment on methods for calculating fish consumption rates.
The modifications made to the NCI method seem satisfactory, but I defer to the statisticians.
b.	Please comment on the means for combining fish frequency data.
If this refers to Section 2.2.2, then the methodology is appropriate.
c.	Please comment on the method used to apportion species.
Reasonable.
5.	Please comment on appropriateness of the models used for estimating fish consumption
rates, focusing on both the "NCI method" and the "modified EPA method. "
a.	Is the EPA method clearly described and supported? Explain.
Defer to the statisticians.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
I believe so, but defer to the statisticians.
6.	Is the EPA method adequate for accomplishing the objective? Explain.
It seems reasonable.
7.	Specifically in regards to the analysis:
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
Not really. As stated above, the handling of the dietary intake data is unclear.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
The procedures/methods for handling the dietary data are unclear.
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8.	Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?
Need to state in the text and tables that the results are uncooked amounts and for edible portion
only if that is the case.
9.	Are scientific uncertainties explained and are they appropriate? Explain.
For the most part, yes, except as described above.
10.	The data used in the analysis have been subdivided based on demographic and
geographical characteristics of the respondents. Are the subsets of data sufficiently robust to
characterize fish consumption within the subgroups for the purposes stated in the report?
Please provide your response for each of the major subgroup categories included in the main
body of the report.
As stated in the report, it is preferable to estimate fish consumption for the subgroups using a
statistical model, rather than the same fish consumption rates for everyone.
III. SPECIFIC OBSERVATIONS
The following line numbers refer to the attached version of the report. It also includes editorial
suggestions (track changes) for making the document clearer; suggestions made for tables apply
to other tables in addition to where they appear.
Line 237 [page 3]—Add "Survey participants are not asked to provide detailed recipes for mixed
dishes. For those, standard, default recipes are used." This has implications since participants are
not queried about the types of fish used in stews, sandwiches, etc. This is a limitation that should
be acknowledged.
Lines 303-307 [page 5]—This paragraph should be edited as follows: "The USDA Food and
Nutrient Database for Dietary Studies (FNDDS) is the underlying database used to code dietary
intakes for NHANES. It is a database of foods, their nutrient values, and gram weight
equivalents for various amounts of foods. For each new version of FNDDS, foods, gram weights,
and nutrient values are reviewed and updated to reflect the U.S. food supply by incorporating
new foods based on what is reported in the survey and updating existing entries." The weights
found in the FNDDS are not necessarily for "typical" portion sizes.
Lines 316-319 [page 5]—It should be explained in detail earlier in the document that the FNDDS
contains standard recipes. How those recipes were used in this analysis should also be described.
Lines 433-436 [page 8]—These "groupings" are the unique food codes, right? Why not call them
that? The term "food codes" is used elsewhere. Suggest instead, "When the raw 24-hr recall data
are processed by NHANES, fish species reported are assigned food codes. The list below
presents the food codes for fish that are specified in the FNDDS and the additional species that
are included in each."
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Line 503 [page 10]—Smelt must have been reported before 2003; otherwise, the code would not
exist. This should say instead, "[not reported in 2003-2010]."
Lines 520-521 [page 11]—This is unclear. Would it be correct to say, "For these groups, we used
raw (uncoded) 24-hour recall files from NHANES from 2007-08 (which are not publically
available, and the only cycle made available to us) and counted the number of times a species
was reported"? If so, the text should be revised accordingly; if not, the procedure should be
described more clearly.
Lines 614-625 [page 16]—This section is particularly unclear. It is unclear if the amounts of fish
tabulated are cooked or uncooked. This should be specified. If they are uncooked, how were the
cooked amounts from the NHANES data converted to uncooked amounts? These "adjustments"
should be explained in detail. Furthermore, are these uncooked amounts of edible portion only,
or are they uncooked amounts of whole fish? Do they include skin? Do they include bones?
Lines 614-615 [page 16]—Some fish are prepared and cooked by the consumer. Please explain
the differences between "pre-processing," commercial processing, and cooking by the consumer
and how these were handled in the data processing.
Lines 621-622 [page 16]—Adjustment factors were applied to the proportions of what?
Shouldn't they be applied to the gram amounts?
Lines 621-625 [page 16]—These factors are the percentages of moisture that is lost through
processing. What is missing are the factors that were used to convert the cooked/processed fish,
reported in NHANES, back to the uncooked/unprocessed form.
Tables—What does "Inc Ref' mean? Because these are population estimates, the last two rows
in the income section of the tables should be combined into something like "Income unknown."
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Review By:
Dale Hattis, Ph.D.
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Peer Review Comments on EPA's Draft Document Fish Consumption Rates
Dale Hattis, Ph.D.
Clark University
I. GENERAL IMPRESSIONS
This is a very good piece of work, applying very sophisticated statistical methods to the available
data. However, it could be improved by adding a discussion chapter that analyzes and
summarizes the findings relevant to risk assessment. I have done some preliminary analysis of
geometric means and geometric standard deviations for total fish consumption from probability
plots of the percentile information (see table on the next page.) Using this kind of analysis, the
reader could be informed, for example that among racial groups, the "other race" category stands
out as having higher overall fish consumption than other races. I assume this is due to the
inclusion of Native Americans in that group, some of whom are subsistence fishers and are
particularly at risk for high consumption of locally-caught fish and shellfish. It is also of interest
that women of child-bearing age have slightly smaller geometric mean consumption but a greater
apparent interindividual variability in consumption than other age/sex groups. Another aspect
that could be improved would be to provide an additional set of data tables in which the
dependent variable was not raw grams consumed per day per person, but grams consumed per
kilogram of body weight. This could be readily done using the same methodology because the
NHANES data include individual body weights. Finally, I think it would be helpful to show
calculations of geometric standard deviations by the various breakdowns in the detailed tables so
that the reader could appreciate (1) which groups have more or less variability in fish
consumption and (2) so that comparisons could be made to long-term biomarkers of fish
consumption, such as methylmercury and PCB blood concentration distributions. These latter
statistics may be in part available from other measurements in the NHANES data. In addition, I
published some older data on these variables:
Hattis, D. and Burmaster, D. E. "Assessment of Variability and Uncertainty Distributions for
Practical Risk Analyses" Risk Analysis. Vol. 14, pp. 713-730, 1994.
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Table of Results of Lognormal Fitting to the Consumption Percentiles for All Fish
(Based on Data from Table 6a)
Group
All adults
Males
Females
Women 13-49
21-35
35 -<50
50-<65
65+ yrs
Non-Hi sp White
Non-His Black
Other Race
Geom Mean
(g/day)
Geom. Std
Dev.
14.61
17.02
13.03
9.66
11.56
14.62
20.33
13.21
13.67
16.78
27.39
2.247
2.216
2.216
2.512
2.498
2.172
2.025
2.218
2.231
2.090
2.044
II. RESPONSE TO CHARGE QUESTIONS
1.	Is the document logical, clear and concise? Explain. If not, how could the document be
improved ?
Yes. However, it could go into more detail for the non-statistician on the choices of
distributional methods. Overall these seem reasonable, and the comment that there is very little
difference between log-logistic and lognormal distributions is helpful. It might also be helpful to
explain, if it is true, that the logistic distributions were selected for modeling because of greater
mathematical tractability than lognormals.
2.	Were scientific and statistical assumptions explained and are they appropriate? Explain.
The statistical assumptions were described but the reasoning underlying them could have been
more fully explained (see previous comment).
3.	Has appropriate literature been cited? Explain. Are there publicly available, peer-reviewed
papers that should be included? Explain.
These might be cited for background and for the distributions of exposure to seafood-borne
contaminants:
Hattis, D. and Burmaster, D. E. "Assessment of Variability and Uncertainty Distributions for
Practical Risk Analyses" Risk Analysis. Vol. 14, pp. 713-730, 1994.
Hattis, D., "Using Indicator Information for Managing Risks," Chapter 14 in: Environmental
Indicators and Shellfish Safety. C. R. Hackney and M. D. Pierson, eds., Chapman & Hall, New
York, pp. 364-380, 1993.
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Ahmed, F. E., Hattis, D., Wolke, R. E., and Steinman, D., "Human Health Risks Due to
Consumption of Chemically Contaminated Fishery Products," Environ. Health Perspect., Vol.
101 (Suppl. 3), pp. 297-302, 1993
Probably there are other more recent references that would be appropriate for similar reasons.
4.	Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
Yes, except that for understanding dosage distributions. I think it would be helpful to calculate
fish consumption per unit body weight per day in addition to raw fish consumption per day.
a.	Please comment on methods for calculating fish consumption rates.
These seem reasonable and generally appropriate.
b.	Please comment on the means for combining fish frequency data.
As far as I could tell, the authors also seem to have made reasonable choices here.
c.	Please comment on the method used to apportion species.
Seems OK.
5.	Please comment on appropriateness of the models used for estimating fish consumption
rates, focusing on both the "NCI method" and the "modified EPA method. "
a.	Is the EPA method clearly described and supported? Explain.
Yes. The comparisons indicating comparable results for the modified EPA method and the NCI
method build confidence. However, aside from leaving out some specific variables, I was not
clear on the exact differences between the methods.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
They seem to be reasonably well identified, although a clearer summary would be helpful. The
assumption of normality in the transformed parameters seems a reasonable approximation but the
difference between the actual data and the distribution imposed by the normality assumption
could be more explicitly shown to the reader to further build confidence in the method and
results.
6.	Is the EPA method adequate for accomplishing the objective? Explain.
Yes, it seems to be quite adequate based on the comparisons provided.
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7.	Specifically in regards to the analysis:
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
The national representativeness of the NHANES data is fully described, as is the sampling
protocol and the use of the population weights. All of this seems appropriate.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
Yes. Only, I think in introducing the body weight factor to allow better representation of the
distributions of consumption controlled for this major variable.
8.	Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?
The results as far as they go are presented reasonably. As indicated above, I would like to see
further analysis of parameters relevant for risk assessment and singling out of particularly
important results for risk assessment implications.
9.	Are scientific uncertainties explained and are they appropriate? Explain.
Generally, yes. However, the key issue of within-person correlations of fish consumption
appears to be based on just two days for each individual. This means that the degree of
correlation of fish consumption on different days must be measured with some error. The degree
of uncertainty in estimates of the within-person correlation probably should be discussed as it
may tend to produce uncertainties in the allocation of variance between person-to-person
differences and within-person differences. In addition to this, the report explains that there are
reports of habitual fish consumption over a prior month. It would be good to see some explicit
analysis of these data, or at least a clearer explanation of how these data contributed to the
overall analysis.
10.	The data used in the analysis have been subdivided based on demographic and
geographical characteristics of the respondents. Are the subsets of data sufficiently robust to
characterize fish consumption within the subgroups for the purposes stated in the report?
Please provide your response for each of the major subgroup categories included in the main
body of the report.
I think so.
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III. SPECIFIC OBSERVATIONS
Page
Paragraph
Comment or Question
17
2
I had to look up what a logit distribution was. A clearer mathematical
description of what this is in general and why it was selected would be
helpful. From Wikipedia, logit(P) = log(P/(l-P) = -log(l/p - 1)
17
3
Similarly, the Box-Cox distribution should be explained and the why of
the choice of this transformation described. Also, nowhere is there a
presentation of which lambdas (power numbers) were indicated by the
data. This could be done in an appendix.
20
1st bullet
"The predicted values reflect a standard week (3 weekend days and 4
weekday days) rather than the distribution of weekday and weekend
recalls in the data." It seems odd to describe a "standard week" in this
way, rather than one with 2 weekend days and 5 weekday days. The
why of this choice needs to be explained, and perhaps there should be a
brief description of how much difference this makes in the results.
23
2
The description of the age groups in this paragraph makes no mention
of the l-<3 age group included in Table 5. It seems to me this age
group should be added to the description or the reader will wonder why
children under age 3 are not covered.
C-l

The tables in this appendix should give the units (g/day).
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Review By:
Kenneth M. Portier, Ph.D.
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Peer Review Comments on EPA's Draft Document Fish Consumption Rates
Kenneth M. Portier, Ph.D.
America Cancer Society
I.	GENERAL IMPRESSIONS
Overall, I find the report readable, stays on topic and comprehensive. There are very few areas
needing major revision and the writing is clear and concise with very, very few spelling errors.
This said, I do see an alternate way of reorganizing the information in Chapter 4 to improve flow
and understanding (see responses to charge questions 1 and 3 specifically).
II.	RESPONSE TO CHARGE QUESTIONS
1. Is the document logical, clear and concise? Explain. If not, how could the document be
improved ?
I found the document logically ordered and the writing clear and concise but confusing in a
couple of places.
The document defines its objective in the Background section and identifies the major data
source in Chapter 2.
Chapter 3 introduces the NCI method, which is again described in Sections 4.4.1 and 4.4.2. Not
certain why one even needs Chapter 3 since the material in Chapter 3 might be better as a
background section in Chapter 4 (or a new Statistical Methods Chapter).
Chapter 4 combines a number of "methods" that could very easily comprise their own chapters.
The methods discussion around habitat apportionment (Section 4.1) and trophic level assignment
(section 4.2) could be combined in one chapter describing how fish-related characteristics are
used in estimating (stratified) consumption rates. The specific comments to Question 2 suggest
some ways that these Sections (or new Chapter) might be better organized. In particular,
organizing the apportionment discussion around the "rules" and data sources used in
apportionment would improve understanding.
Section 4.3 on "Extracting reported amounts of fish consumed" could be a part of Chapter 2
since it really describes how the FNDDS files were processed to find food codes containing
finfish and shellfish, hence it tells us in more detail what NHANES data were actually used.
Section 4.4 (Statistical Methods) deserves its own chapter (called Statistical Methods) since it
contains the key discussions of the NCI method for estimation of fish consumption and described
the modifications of this approach that constitutes the "EPA method." This discussion could
benefit from a short discussion relating sample size to estimate uncertainty to help answer the
question of "How many observations are needed to estimate consumption to a specified level of
precision?"
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Chapter 5 (Results) can benefit from more discussion of model goodness of fit.
Overall, there is a need to standardize labels. In the report I find references to the "NCI method,"
the "NCI model," the "EPA model," the "EPA approach," the "EPA method," the "Modified
NCI Method" (page 22) and in the Figures, the "Westat Modified NCI Method." It initially was
difficult to know how many "methods" were really under consideration. Was it two or three?
Only after one reads Chapter 4 do you realize there are only two "methods," with two "models"
for each method, one for probability of fish consumption and one for amount of fish consumed. I
will refer to the NCI and the EPA "methods" in my remarks. Occasionally, I will refer to the
model for estimating the probability of fish consumption and the model for amount of fish
consumed for specific methods. There are also two "methods" for simulating UFC based on the
fitted NCI or EPA method estimated parameters and associated models.
Additional suggestions for report improvement can be found in my replies to the remaining
questions.
2. Were scientific and statistical assumptions explained and are they appropriate? Explain.
I did not find any specific sections discussing scientific or statistical assumptions in the report.
Scientific and statistical assumptions seem to be discussed as needed throughout the document. I
think it is appropriate that it be done this way.
Further, discussion of assumptions is needed in a number of places as outlined below.
Page 1: We are told that the current default fish consumption rate (FCR) used by OW are the 90th
and 99th percentile estimates from the freshwater and estuarine fish consumption distributions
computed from the CSFII. When you get to the bottom of Page 2 you find that we will actually
be provided with "the UFCR estimates and 95 % CI of the mean and the 25th, 50th, 75th, 90th,
95th, 97th, and 99th percentiles." There is no discussion (or justification) for why these
particular percentiles (probably to illustrate the right tail of the consumption distribution which is
where risk assessment interest is greatest). Why not also provide 5%-tiles up to 95% and
illustrate the whole distribution?
Page 1: It is stated that "As fish consumption may have changed over the past decade..." What is
the evidence for this as a reasonable assumption on which to justify the effort of creating new
estimates? [One or a couple of references to current studies, popular reports, NOAA landings
values, etc. would satisfy this need.]
Page 1: Reference is made to the NCI method. Have other methods been proposed but rejected?
Page 1: It is stated that "The calculation using the NCI Method are very time consuming." It is
assumed that either: 1) EPA does not have the time to make these calculations or 2) EPA cannot
find the computational power to makes these calculations in a reasonable amount of time. I don't
find this discussed anywhere. Acceptance of this assumption is key to justifying the development
and use of the EPA modified method.
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Page 2: Estimates are desired for 18 different categories of fish. It is assumed that each category
is important to some entity. Nowhere is there discussion as to why these categories specifically
are chosen.
Page 3: Chapter 2 discusses the NHANES as a quality source of finfish and shellfish
consumption for the general US population. Are we to assume that this is the only source of such
data? A discussion of other potential sources for fish consumption data and why the NHANES
was used is needed.
Page 5: The FNDDS is discussed in general (here, but in more detail in Section 4.3), but the
"science" behind this database merits at least a paragraph. This database is used in the critical
step of translating what is eaten (a menu item) to how much fish is consumed.
Page 7: The scientific and statistical assumptions of the NCI method are covered in Question 4.
Page 8: While "The assignments of species were completed by a fisheries biologist" it is not
clear what assumptions and/or rules were employed in this assignment. If I were to employ a
different fisheries biologist, would that individual come up with the same habitat apportionment?
By providing insight into the assumptions and rules used by the fisheries biologist, we are better
able to ensure repeatability (a scientific method characteristic) to this process. The "decisions"
listed in the four bullets are actually some of the "rules" used by the fisheries biologist in the
assignment. Are these all of the rules? It is clear that NOAA landings data factor into these
"rules" (Section 4.1.2). In addition, the final rule is "that unspecified fish consumed was assigned
the overall average habitat apportionment of all species reported consumed." Is this reasonable?
Page 11: The statement, "No species in a group was assigned 0 percent based on a 0 count in the
files, because it may be reported in another NHANES cycle," requires additional clarification.
What was the rule used to assign the value greater than zero?
Page 14: The fourth bullet on this page refers to "best professional judgment" and an example in
catfish is described. Is catfish the only NHANES grouping that is impacted by this "rule"? Table
3 might be modified to indicate which fish allocation is impacted by "best professional
judgment." The scientific issue here is repeatability.
Pages 17-20: Assumptions for statistical methods presented in Question 5.
Page 20: (Section 4.4.3) It is not clear from the first sentence in this section whether the bulleted
statements represent constraints on the NCI method estimates when used for simulating fish
consumption or whether these statements are constraints under which the NCI method estimates
are derived. I think these bullets are actually establishing the specific "reality" we are attempting
to simulate using the information from the fitted NCI model.
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Paragraphs 4 and 5 on page 54 (Section 5.4.2) initiate a discussion on model assumptions but
doesn't really take it very far. In paragraph 4, you say "The validity of these assumptions can be
discussed and, to some extent evaluated using data." but don't elaborate. Maybe a little
elaboration is justified. At the bottom of page 54, you write "In our opinion, the NCI method
makes reasonable assumptions and, given the assumptions, has adequate sample size to provide
estimates with little bias relative to the confidence interval width." I personally tend to agree
with the report on this, but I suggest giving the reader a little more, especially about the
reasonableness of the method assumptions.
The issue of how fish never-consumers are handled is never addressed:
One issue that is not addressed in the report impacts how the results of this study are used
in a population risk assessments when the population consists of a fraction of individuals
who, for personal reasons, never eat fish. Estimates of US residents who self-report as
vegetarian or vegan range (not fish consumers) from a low of about 2.5% to a high of
about 13.7% of the population (see
http://en.wikipedia.ors/wiki/Vesetarianism in the United States#USA for details).
The NCI and EPA methods seem to assume that every individual who provides data via the
NHANES 24-hour or 30-day surveys has a positive probability of consuming fish over the
covered time period. In statistical jargon, they assume an underlying continuous
distribution of consumption. With this assumption, for any individual if we were able to
effectively record consumption for a long enough period of time, every individual would be
observed eating fish at least once in that time period. The reality is that the underlying fish
consumption distribution is a mixture distribution with a positive probability of fish non-
consumption (of say p . 025 to .137) and one minus this probability of consumption.
The problem lies in that the NHANES survey does not have a question that identifies
individuals who would "never eat fish, " hence it does not allow us to easily split out "fish
consumers" from "fish non-consumers". The individuals who report no fish consumption
are a mixture of "never consumers " and "low likelihood consumers. " The NCI method
estimate of the probability of fish consumption in a 24-hour period essentially uses one
probability for the mixture. This issue is not a problem at the estimation phase but does
come up when the estimated model is used to simulate an individual's long-term
probability of fish consumption. The equations on page 21 suggest that the long-term
probability of fish consumption (Quj) will always be greater than zero (distribution is
assumed Logistic, a continuous distribution, and hence the probability of a single value (0)
is zero.) But this model uses the estimated 24-hour consumption probability (P, page 19)
that includes the mixture. So, the problem is that the simulation is really about fish
consumers, but one of the parameters used in the simulation (P, which affects the estimate
of the other "pi s ") represents both consumers and non-consumers. The ultimate result is
that the percentiles for the fish consumption distribution are all likely to be over estimates
which conveniently adds a conservative lean to population risk assessments.
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3.	Has appropriate literature been cited? Explain. Are there publicly available, peer-reviewed
papers that should be included? Explain.
A number of places need citations.
Page 1: References to justify the statement that fish consumption rates have been changing.
Reference to increasing NOAA landings values might suffice here, although looking at NMFS
total landings data suggests decreased tonnage from 1993 to 2012 (4.6 MT in 1993 to 4.2MT in
2012).
Page 8: The second bullet incorporates a quote but there is no indication where this quote comes
from. (I assume this is part of the Clean Water Act, but not certain.) This statement also requires
further clarification since the current sentence structure is complex making it difficult to
understand.
Page 13: The two references used for tropic level assignments are EPA technical reports from
2002 and 2003. Have these documents been examined recently to ensure they continue to
describe "best science?"
Page 22: Section 4.4.4 - This section should be significantly increased. A reference for method of
computing confidence limits on the log scale and back transforming is provided below. The
method for using full sample weights and replicate weights with NHANES data can be
complicated for the uninitiated. I don't think the NHANES web site provides sufficient
information for the reader of this report to understand how weights should (are) used in the
analysis. The design effects discussion in the NCHS 2005 reference given is inadequate for this.
A reference or two here, and/or a short discussion in an appendix, would ensure that future
readers are not confused on what was done here. The four steps for computing the CIS really
need to be described in greater detail. Again, the issue here is ensuring that readers are able to
replicate the report results (scientific validity).
Gilbert, Richard O., Statistical Methods for Environmental Pollution Monitoring, 1987, Van
Norstrand Reinhold, NY, NY, Chapter 13 Characterizing Lognormal Populations, pp 164-176.
Page 22: A reference/web link for the MIXTRAN macro is needed.
4.	Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
I will assume that this question is asking about the methodology of processing the NHANES data
to obtain short-term fish consumption likelihood and amount. Questions 5 and 6 ask for specific
comments on the NCI and EPA modified methods for estimating long-term probability of fish
consumption and amount consumed distributions.
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The approach requires two broad steps. First is obtaining food consumption and from these self-
reported types and amounts, estimating the amount of fish consumed. These data also allow
estimation of the short-term probability (likelihood) of fish consumption. Next is to model the
likelihood and amount of fish consumed, as obtained from NHANES, in such a way that the
parameters of interest for risk assessment, the long-term fish consumption probability or
likelihood, and the distribution of fish consumption (intake) given reported consumption are
estimable. These two components are then used to estimate usual fish consumption (intake) as a
long-term mean. This approach is both practical and has historically been used by others.
a.	Please comment on methods for calculating fish consumption rates.
The method used to estimate the amount of fish consumed using NHANES data and detailed
recipe analysis is state of the science.
There is no discussion in the report about the uncertainties associated with the fish proportions
associated with each food code presented in Appendix B. In addition, the uncertainties associated
with percent moisture loss for each processing method in Table 4 are not discussed or provided.
In the future, if someone was interested in understanding how variation in fish proportions in
foods or moisture loss in processing methods impacts the usual fish consumption estimate (e.g.
sensitivity analysis), it would be beneficial to have published standard errors of these key
proportions. I do not know if standard errors are available from the original sources of these data.
b.	Please comment on the means for combining fish frequency data.
The data needed for the NCI and EPA modified models is Aij, the amount of fish consumed, in
grams, reported in a 24-hour dietary recall. This amount can represent all fish and/or shellfish,
or can represent some subset of fish groupings, tropic class, or habitat class (defined in Chapter
4, Sections 4.1-4.2). In this report, the food codes (recipes) were decomposed to provide the fish
proportion of the food and multipliers to which are used to calculate total fish and fish/shellfish
subsets. This is all straightforward.
The text does not describe how the multipliers in Appendix B are actually used. I had to work
through the following example to understand these. An example like this should be placed in the
report somewhere to help the reader interpret the column heading and the values therein.
Let's examine the first line of Table B-l, "Shrimp dip, cream cheese base." Assuming one
gram of this recipe, we would have .262 grams of fish or shellfish. To adjust for moisture
loss (25%), the .262 grams would be assumed to be 75% of what was originally there.
Hence, the pre-processed amount of fish would be ,262/.75=349 grams. This value (.349)
is identical to the "Multiplier for total fish" so this column identified the amount of pre-
processed fish in the recipe. I assume the .062 value for "Multiplier for marine fish" then
indicates the amount of marine fish in the pre-processed recipe that produced one gram of
final food. Since shrimp is the only fish in the recipe, we use the marine proportion for
shrimp in Table 1 to assign 17.6 of the total fish to marine (.349 x .176=.062). And so on...
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c. Please comment on the method used to apportion species.
Overall, I have little to say about the apportionment of species other than the comment in
Question 4b above on use of multipliers, and Question 2 comments for pages 8 and 11 about
replication of "professional judgment."
5. Please comment on appropriateness of the models used for estimating fish consumption
rates, focusing on both the "NCI method" and the "modified EPA method. "
I would like to make a few remarks about the NCI method here since the specific sub questions
focus on the EPA method. These comments relate to Section 4.4.2.
The first paragraph states that "The NCI method can be implemented using two SAS macros..."
Does this mean that the reader can use this tool but for this report a different approach was used?
Or does this mean that for this report the NCI method "was implemented" in SAS using two
macros that can be obtained from the NCI? (But it doesn't tell me now to get them... do I write
the Director?)
In the second paragraph:
The limits on k are not defined. What are the covariates? Are they all continuous,
all categorical or mixed?
It would be clearer if you specified that j=1 for most individuals and only a few
individuals have j={ 1, 2}.
Given that "The usual daily consumption is the weighted average of the weekday
and weekend estimates" and given Friday is part of the weekend, the weights for
this weighted average would be 4/7 x (Weekday average) + 3/7 x (Weekend
average). Is this correct? Unclear.
What are the default starting values that NLMIXED uses to initiate its search
(provide in a table or define how computed)? Are the MIXTRAN and DISTRIB
macros to be provided in the report so that an informed user could examine this
code to determine this? (issue of repeatability)
Cij is never defined (assumed to be "indicator of consumption").
The X is not defined (the Cox transformation parameter).
The TCi are not defined as the person level effects for likelihood of consuming fish.
The otij are not defined as the person level effects for amount of fish consumed at
the jth 24-hour recall.
•	The 7Txk are not identified as the coefficients that relate covariates to likelihood of
fish consumption.
•	The axk are not identified as the coefficients that relate covariates to amount of
fish consumption.
•	Note it might be nice to indicate that in this model, Cij, otij and m are all random
effects, the rest of the parameters are fixed effects.
Note that Pij is the probability of consuming fish in a 24-hour period.
According to this model, 0 < Pij < 1.
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Pij can never be 0 or 1 for any individual which assumes there are no fish non-consumers in
the fitted data. Since it is highly likely that this is not true, the model is not quite realistic for
its given data.
a. Is the EPA method clearly described and supported? Explain.
The description of the EPA method begins at the bottom of page 18. It would be better if the
EPA method had its own section separate from the description of the NCI method.
First, I think it is very important to state in a way that the reader notices it, that from one method
fit to one set of fish consumption data, all of the sub-population estimates are derived. That is, all
of Table C-l comes from one fit of the EPA method run applied to the total finfish and shellfish
consumption data. The estimates of the model parameters obtained from the fit of the method to
the data provide everything needed to compute all of these consumption distribution estimates.
This tends to get lost in the report. This is important statistically because all of the data (for fish
subset being run) are used to estimate the model parameters and, hence, all of the data are
factored into subsequent confidence intervals. You aren't running fits to smaller and smaller
datasets for subpopulations which would produce even wider confidence intervals.
The justification for simplifying the NCI method for parameter estimation is weak and I feel
should be discussed in more detail. Some statistics on run times for the NCI method, run on a
current model PC and used to estimate one fish consumption scenario, would likely be
justification enough. Is the NCI method susceptible to running distributed on a computer grid
(such as the World Community Grid - http://www.worldcommunitygrid.org/) where thousands of
computers could be used to produce the needed results? If so, that weakens the need for a
modified method.
The last paragraph on page 18 is actually a synopsis of the EPA method, used before you get into
the formal details of the method. Rather than talk about what the SAS macro does, talk about the
modification to the NCI method and then simply indicate that the approach has been
implemented into a SAS macro called ??? (name never given) and available from ??? (location
not provided).
You indicate the use of a "normal scores plot" (a q-norm plot I assume) as an aid to determining
the initial lambda* estimate (Box and Cox power transformation parameter). Exactly how is this
done? Can you provide a reference to this approach? A good discussion and references to
estimating the Box and Cox transformation parameter can be found in:
Piegorsch, Walter W. and A. John Bailer, 1997, Statistics for Environmental Biology and
Toxicology, Chapman & Hall, London, GB, Pages 130-131
It might be clearer if you list the EPA modified procedure as a series of steps. (I did this to help
me understand the method but suggest it might also help other readers.)
Step 1; compute the four summary statistics for each individual.
Step 2; fit the logistic regression model.
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Step 3; iteratively fit the constrained logit model to minimize a weighted Chi square
statistic and estimate individual level effects for the probability of fish consumption.
Step 4; estimate the correlation between person-level random effects by using the residuals
from the probability model as a predictor in the amount sub-model. Fit the amount sub-
model using only records from the first 24-hour recall.
Step 5; estimate the within-person variance component.
Step 6; estimate the person-level random effect variance.
The four equations found on the fifth line of page 19 should be stacked to be consistent with
other equations. If you list these statistics vertically, you can add their "labels" to the right and
remove the next two lines. Since j can at most be equal to 1 or 2, you are only averaging,
summing or counting for a few individuals.
The statement "The person-level random effect is included by assuming the predicted logit when
excluding the random effect is proportional to the predicted logit when including the random
effect." is not clear at all. It made more sense AFTER I look at equation 4 on page 19.
Ok, here is where I get confused. In equation 4 you have log (P/(l-P)) as the response in the
logistic regression. But for this to work shouldn't the P be Pi? But then in equation 5 you use Pi
in the response and regress it against the logit of the Pi? Is the critical element here that equation
4 is fit incorporating survey weights, whereas equation 5 does not use the weights? Please
clarify.
Equation 5 basically says that the observed and (survey weighted) predicted Pi are proportional
to each other and the residual is the individual level effects. This is not a particularly intuitive
relationship and seems to be the key to why the EPA method would work. I think it is really
important to motivate this step. Why would you expect this to work? How do you know that this
results in normally distributed to?
You write that "Calculation of standard errors requires: 1) calculation of replicate weights
consistent with the NHANES survey design and strata and PSU variables; 2) running the macros
using the full-sample weight and each replicate weight; and 3) combining the results to estimate
the standard errors." I assume this is true for both the NCI and EPA method. I assume that these
calculations occur each time SAS Proc SurveyReg is used. The reader needs to know or
understand Proc SurveyReg to understand the importance of this quote. Another place a
reference is needed.
b. Are uncertainties in the EPA model identified and characterized? Explain.
There is no place in the report where NCI or EPA method parameter estimates and their
corresponding standard errors are displayed (uncertainty relates to parameter precision).
Estimates and approximate standard errors must have been calculated for all model parameters -
these would be required output from the statistical estimation routines. Not sure most readers
would be interested in seeing these estimates in the body of the report, but since these estimates
are important for the simulation of UFC these values should be available, either in an appendix
or in an online file (repeatability issue again).
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Nowhere is goodness of fit for either model discussed (prediction uncertainty). Do these models
fit equally well for particular data? Since the methods predict two outcomes, probability of fish
consumption (logistic regression) and amount of fish consumption (regular regression), you
would need two tables. An adequate (generally accepted) goodness of fit statistic like the R2 for
regular regression is not available for logistic regression. Reporting the final scaled deviance
would allow comparison for the logistic regressions. Along with the number of parameters in the
model, these statistics form the basis for many proposed goodness of fit statistics for generalized
linear models and hence might be the minimum required fit information that would need
reporting. There are similar issues with the Cox and Box transformed linear regression since the
R2 statistic is actually a function of the lambda* estimate. Still, reporting R2 values would allow
some comparison.
Section 4.4.6 compares the predicted UFCR from the two fitted methods. This is not the same as
the model fit which examines predictions to actual for a specific model and data set. Both the
NCI and EPA methods might predict the observed data adequately and still differ in predicted
UFCR values.
6.	Is the EPA method adequate for accomplishing the objective? Explain.
Adequacy here relates to the extent to which the EPA method suitably duplicates the NCI
method results. Clearly the figures in the report indicate that on a distributional basis both
methods seems to produce similar fish consumption distributions so to this extent the EPA
method is adequate.
I still worry about the issue of fish never-consumers and how they are handled by both methods.
Of course, from a risk assessment point of view, fish never-consumers are never exposed to the
contaminants that might be found in fish and hence might be considered not part of risk picture.
Still, when examining population risks, ignoring fish never-consumers in these methods results
in risk being over-estimated (the risk distributions are shifted to the right).
7.	Specifically in regards to the analysis:
I assume in my reply below that this question is specifically about Section 5.3 (and indirectly the
material in Section 4.4.3) where the NCI method is compared to the EPA method (which is
referred to only in this section as the Modified NCI method). To me, this section represents an
analysis of the EPA method.
a. Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
In Section 4.4.3, we are provided with the methodology for simulating UFC with the NCI and
EPA methods. After reading this section, I had a number of unanswered questions.
The "modifications" listed in the three bullets at the bottom of page 20 really describe the
objective of the simulation exercise - a desire to compare UFC for a "standard week" ignoring
recall-to-recall and within person variability. I get this, but I am not sure WHY you might want
to limit the comparison this way. Justification or motivation needed here?
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Why 100 simulated values for each person? Optimal? Adequate? Just a number used for
demonstration purposes (likely)? You fail to mention that you will be simulating fish
consumption for every individual for which we have fish consumption data from NHAMES. You
could just have likely created a synthetic cohort of fish consumers as the basis for the simulation.
Oh! There is that 3/7 weight which just shows up here without explanation. See bullet 3
question 5.
You need to make clear that the model parameter estimated values used for the NCI method
simulation are different from the model parameter estimated values used for the EPA method
(another reason to report these estimates in a table somewhere). Similarly, the lambda values
used in the back transformation, Bui, values may be different for the NCI and EPA methods.
The statement "This equation includes an adjustment with the within person variance in the fish
consumption amount (
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b. Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
I think the methodology used to compare the two methods is appropriate and makes sense for a
tool focused to risk assessment. The methodology might be inadequate to aid understanding of
whether the EPA method and NCI method produce similar estimated UFC for individuals with
similar demographics.
8.	Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?
My responses to all of the other questions contain suggestions for improving the presentation.
There are places where the material is not clear and the writing should be improved. There are a
couple of places where material that should appear together, such as the background for the NCI
method and the discussion of the method itself, are in separate chapters where they might be
better presented as one.
9.	Are scientific uncertainties explained and are they appropriate? Explain.
I assume that this question is directed at Section 5.4 and my reply is focused on this section.
Section 5.4.1: How might the results have been changed if a different fisheries biologist been
used? Was the variability of NOAA landings from year-to-year incorporated in this analysis?
Section 5.4.2: The first sentence seems to imply that the largest portion of the uncertainty in CI
for the estimated distributional p-tiles (from the NCI method) comes from uncertainty in
estimation of the within- and between- person variance components. Is this correct? Was this
determined via a sensitivity analysis? Or was this determined by looking at the standard errors
for the variance component estimates? It might be useful to expand on this since this has
implications for future data needs (the need for more multi-day 24-hour recall records -
something many EPA scientific review panels have asked for).
When you say "The model," I suggest you use a more complete descriptor - "The NCI method."
Section 5.4.3 (page 55): This paragraph is difficult to read because the phrase "the weighting"
may not be clear to the reader. All the information is here, just improve the writing to be clearer
of what the message is. An illustrative example of the issues at stake might help here.
Section 5.4.4: The statement "However, they generally collect data in northern counties in the
summer and southern counties in the winter." represents in my mind the biggest shortcoming of
using these data for this analysis and the greatest potential for bias. I think this issue should also
be discussed closer to the beginning of the report.
Section 5.4.5: OK except the label "Modified NCI Method" should be standardized to the "EPA
Method."
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10. The data used in the analysis have been subdivided based on demographic and
geographical characteristics of the respondents. Are the subsets of data sufficiently robust to
characterize fish consumption within the subgroups for the purposes stated in the report?
Please provide your response for each of the major subgroup categories included in the main
body of the report.
The stratification or subdivisions seem reasonable and justified. The categories seem to cover
most of the fish consumption categories that would be needed for risk assessments.
Just a thought, not an action item: If I were to suggest one additional demographic factor it might
be education level coded at two levels; "high school diploma/GED and below" and "some
college and above." Education is highly correlated with income so most of the education effect is
captured by the finer coded income factor. The non-Hispanic White category has the highest
sample size and I wonder if it might be possible to break out a category of "Asian and Pacific
Islander" and/or "Native American/Alaskan Native." These two later categories are likely to be
higher consumers of fish but also, given the design of NHANES, are unlikely to be very well
represented in the sample and not represented at all in many geographic regions.
III. SPECIFIC OBSERVATIONS
Page
Paragraph
Comment or Question
16
2
Adjustment factors "are also used" instead of "were also used" in the
two reports. The reports exist today even though they were created in
the past. Active writing style recommends the use of present tense
where possible.
16
3
Sort alphabetically by Processing Method or numerically by Percent
moisture. Current table uses neither. Recommend sort by % moisture.
18
5
In the discussion around lambda estimation, you talk about estimation
being "consistent with the model," but I think you mean "consistent
with the data" and the assumption of normality (which is part of the
model or method).
19
4 lines from
bottom
Shouldn't this be 24-hour recall rather than 12-hour recall?
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Review By:
Janet A. Tooze, Ph.D., M.P.H.
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Peer Review Comments on EPA's Draft Document Fish Consumption Rates
Janet A. Tooze, Ph.D., MPH
Wake Forest School of Medicine
I.	GENERAL IMPRESSIONS
I found the layout of this report to be presented in a logical, clear, and concise manner. The
classification of the fish groupings from the 24-hour recall data appeared to be done
appropriately using the NHANES data as well as other sources. Being able to obtain the
information from NHANES on geographical region is a strength. The tables are clearly
presented and are provided for a broad range of fish type and subgroup. The document
demonstrated a sound understanding of the NCI method. However, there are serious concerns
about the validity of the estimates produced by the modified EPA method. In particular, this
method makes a number of approximations to the NCI method, but it does not fully explore the
implications of each of these approximations, nor does it fully justify the approximations that are
made. Furthermore, details were lacking regarding some of the statistical methods including:
validation of the modified EPA Method, construction of BRR weights, inclusion of covariates in
models, and construction of subgroup estimates. From the report, it is not apparent that the time
savings from making a number of approximations in the modified EPA method is worth the
potential loss in bias and efficiency of the estimates produced. The dataset that was constructed
of fish consumption for NHANES participants appeared to be developed making reasonable
assumptions and I have no concerns about the dataset used. I am concerned that the statistical
methods utilized to estimate the distribution of usual fish intake is not well justified, and could
lead to biased estimates.
II.	RESPONSE TO CHARGE QUESTIONS
1.	Is the document logical, clear and concise? Explain. If not, how could the document be
improved ?
In general, the document is clear, logical, and concise. The document is logically organized in
the order of presentation, and outlines all necessary sections of the study population, methods,
and results. The results are clearly presented. There are some details lacking in the statistical
analysis section (see questions 4 and 5).
2.	Were scientific and statistical assumptions explained and are they appropriate? Explain.
The document demonstrates a thorough understanding of the NCI method and the assumptions
that it makes. There are no concerns about the implementation of this method; however, it was
only used to compare to the EPA method, not to make the estimates in the report. The authors
used what they are calling the modified EPA method to produce the tables in this report, and the
implications of the assumptions of this method are not as clearly described as the assumptions of
the NCI method. In Section 5.4.2, the assumptions made and discussed are that of the NCI
method; however, the modified NCI method is what is used in this report, and the assumptions
that it makes should be addressed in this section, rather than that of the NCI method. It is not
clear from this report that the authors understand what the implications of the assumptions of this
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modified EPA method are. For example, the authors compare their method to the NCI method,
and show that in some cases it provides higher estimates than the NCI method. However, it is
not clear from the report why this is so, and what assumptions of their method lead to this
potential bias.
3.	Has appropriate literature been cited? Explain. Are there publicly available, peer-reviewed
papers that should be included? Explain.
It appears that appropriate literature has been cited in this report, with the exception of the
modified EPA method that is presented. No literature is cited to support the modified EPA
method that is used for the estimates given in the table. It appears to be an ad hoc method that
has not been peer reviewed.
4.	Is the methodology as presented and defined in the report scientifically appropriate for
meeting the objectives of the project? Additionally and specifically:
The methodology for creating the dataset of fish consumption by individuals in NHANES from
the FNDDS files for the 24-hour recall appears to be appropriate. The statistical methods used to
estimate the distribution of the fish consumption dataset are not well-validated, and may produce
biased estimates.
a. Please comment on methods for calculating fish consumption rates.
The methods for estimating the distribution of fish consumption are based on the modified EPA
method. It appears that this method was created for this project to estimate the distribution of
fish consumption in order to provide estimates of consumption more quickly than using the more
time consuming NCI method. In order to do this, the authors made a number of simplifications
to the method with respect to the transformation selected, the modeling of probability of
consumption, the modeling of the consumption day amount, the simulation of the usual fish
consumption, how subgroup estimates were derived, and the calculation of the confidence
intervals. Although there are well-accepted methods for modeling repeated measures binomial
data (including generalized linear mixed effects models, which the NCI method uses, and GEE),
the report presents what appears to be an ad hoc approach that is not cited in the statistical
literature, nor is well validated in this report. Although this method saves computing time, it
appears that it may lead in some cases to biased estimates of fish consumption rates for the US
population.
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b.	Please comment on the means for combining fish frequency data.
The methodology for extracting the reported amounts of fish consumed from the 24-hour recall
using the FNDDS files appeared to be appropriate. With respect to the statistical methodology, it
is not clear if (and how) the 30-day fish consumption frequency data from the questionnaire were
used as a covariate in statistical models; this is an appropriate way to use this information, but it
is not clear if it was used in this manner.
c.	Please comment on the method used to apportion species.
The method used to apportion species appears to be appropriate based on the food codes and the
supporting data presented in the report.
5.	Please comment on appropriateness of the models used for estimating fish consumption
rates, focusing on both the "NCI method" and the "modified EPA method "
a.	Is the EPA method clearly described and supported? Explain.
As cited in the response to 4a, the EPA method is not well supported by the report. There are no
citations to the statistical literature to support its use. There are no simulation studies to show
that it will provide unbiased estimates, efficient estimates of usual intake (under the assumptions
that the 24 hour recall is unbiased). It is described in the report, although some key details, such
as how the BRR weights were created and used, are omitted, and the methods are not well
justified.
b.	Are uncertainties in the EPA model identified and characterized? Explain.
The statistical models used are described for estimating probability, amount, and the simulations.
The statistical methods regarding the calculation of confidence intervals and BRR weights are
not well described in the report. The number of simulations used to estimate the distribution
(N=5 vs N=100 for NCI method) is not well justified. To fully identify and characterize this
model would require a more extensive analysis with statistical simulations and comparison to the
NCI method and other methods for estimating the distribution of usual intake for different
scenarios of episodically consumed foods. Although estimating the SE for the percentiles is quite
time consuming, taking 64 BRR runs per models, the percentile estimates (without SEs) are
estimated from 1 run. The authors could have obtained these estimates for all the models and
compared them to the point estimates from the modified method.
6.	Is the EPA method adequate for accomplishing the objective? Explain.
If the objective is to obtain an unbiased estimate of the distribution of the various types of fish
consumption in the report, under the assumption that the 24-hour recall provides an unbiased
estimate of fish consumption, then the EPA method does not appear to be adequate for
accomplishing this objective. It is not fully validated, and the results in Section 5.3 indicate that
it may be biased.
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7.	Specifically in regards to the analysis:
a.	Were sufficient information and explanations given that describes how the data were used
and what criteria were used to determine the suitability of the data? Explain.
Further information could be given about the predictors used in each model. In Section 4.4.5, the
report cites that "all significant predictors" were used, but no criterion for significance is given,
and it is not clear which predictors were used in which models. Although Section 2.2.2 outlines
that the 30-d fish consumption frequency data could be used in statistical models, it is not clear if
these data were used in any models, as they are not included in the list of variables in Section
4.4.5. It is not clear if people were excluded if they were missing covariate data. Furthermore,
the methodology for creating subgroup estimates by age, gender, geographic region, etc. is not
described in the report. It is important to know if covariates were used to define subgroups, or if
the models were stratified by subgroup.
b.	Were these criteria adequate? Was the methodology appropriate? Explain. If not, how could
the methodology could be improved?
I think it is appropriate to include all plausible 24-hour recall data from NHANES for this
analysis, as long as there are no apparent data entry or recipe errors. The report did not detail
whether any type of data cleaning was done.
8.	Are the results presented in the report understandable and appropriate for meeting the
objectives of the project? Explain. If not, how could the presentation of the results be
improved?
The results presented in the report appear to be understandable and appropriate to the task. I
believe that the authors of the report presented what they were asked to do; however, I have
concerns with the validity of the estimates produced.
9.	Are scientific uncertainties explained and are they appropriate? Explain.
Estimating usual fish consumption of specific species is a difficult task, and requires a number of
assumptions in terms of data summary and analysis. The way in which the data were
summarized appeared to be consistent with other studies and there was some discussion
regarding the assumptions with respect to regions, seasonality, and habitat. From my knowledge
of this area, these appeared to be appropriate. With respect to the statistical methodology, it
appears that there are additional uncertainties that were not addressed to the degree that they
could be (see my response to previous questions for details). It would be helpful to discuss the
statistical methodology used in the previous report, to explain the discrepancies between the
previous estimate of the 90th percentile of consumption compared to the new estimate.
61

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External Peer Review of EPA's Draft Document Fish Consumption Rates
10. The data used in the analysis have been subdivided based on demographic and
geographical characteristics of the respondents. Are the subsets of data sufficiently robust to
characterize fish consumption within the subgroups for the purposes stated in the report?
Please provide your response for each of the major subgroup categories included in the main
body of the report.
Table C-56 details the number reporting fish consumption on both 24-hour recalls by fish type.
In general, one would want at least 50 participants per cell in order to estimate the variance
components for between and within person variation. As mentioned previously, it is not clear
exactly how the subgroup estimates were derived. If they were derived from covariates in one
large model, it may be appropriate to assume the same ratio of between with within variance
holds for the smaller subgroup. However, if the models are stratified by subgroup (which I do
not think they were, but it is not completely clear), then the sample size of some of these
subgroups would not be of sufficient size to produce stable estimates of variance components.
III. SPECIFIC OBSERVATIONS
Page
Paragraph
Comment or Question
1
5
The NCI method simultaneously models probabilitv and amount.
20
4
More detail should be given on the "NHANES survey weights" used.
Are they the dietary weights that are adjusted for non-response? BRR
weights?
21
4
Was a 9 point approximation considered?
22
2
More detail on the BRR weights and these calculations should be
provided.
22
3
The highest correlation of what? This procedure is unclear.
54
1
The first sentence in Section 5.4.2 is unclear. When one produces
estimates of the distribution of usual intake without partitioning
between and within person variability, the estimated variance of the
distribution is over-estimated, leading to over estimates of person in the
tails of the distribution. I think this sentence is referring to the SE for
the estimates of the percentiles, but it may be misinterpreted as the
variance of the distribution of intake (as it does not specify the variance
of what, it just says "the variance").
C-1++

The tables in Appendix C do not have units given - units should be
added.
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External Peer Review of EPA's Draft Document Fish Consumption Rates
Attachment A: EPA's Draft Document "Fish Consumption Rates"
63

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Fish Consumption Rates
Draft Report


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Table of Contents
Chapter	Page
1	Background		1
2	National Health and Examination Survey		3
2.1	Survey Description		3
2.2	Survey Data		4
2.2.1	24-hr Recall		4
2.2.2	30-day Fish Consumption Frequency			4
2.3	Food and Nutrient Database for Dietary Studies				5
2.4	Regions						5
3	NCI Method				7
4	Methods				8
4.1	Habitat Apportionment				8
4.1.1	NHANES Fish Groupings				10
4.1.2	Use of NOAA Landings Data....		1 1
4.1.3	Imported Fish and Farmed Fish		13
4.2	Trophic Level Assignments....		13
4.3	Extracting Reported Amounts of Fish Consumed		16
4.4	Statistical Methods						17
4.4.1	Overview of the NCI method		17
4.4.2	Calculation steps for the NCI and Modified
Models		18
4.4.3	Simulation of the Usual Fish Consumption		20
4.4.4	Calculation of Confidence Intervals		22
4.4.5	Application of Modified NCI Method		22
4.4.6	Comparison of Estimates to NCI Method		22
5	Results			23
5.1	Sample Size		23
5.2	UFCR Adults, 21 Years and Older		25
5.3	Comparison of UFCR Estimates: Modified NCI Method
and NCI Method		48
5.4	Uncertainty		53
5.4.1	Habitat Assignment		53
5.4.2	NCI Method		54
5.4.3	Regions		55
5.4.4	Seasonality		55
5.4.5	Precision of Estimates		55
6	References		56
11

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Table of Contents
(continued)
Table	Page
Table 1. Habitat Assignments ofNHANES Fish Groups	 9
Table 2. NOAA landings data, clam apportionment	 12
Table 3. Trophic Level Assignments	 15
Table 4. Processing Adjustments			16
Table 5. Sample Size and Number Reporting Fish Consumption, by Fish
Type	 24
Table 6a. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older,
by demographics			 26
Table 6b. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older,
by geography	 27
Table 7a. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults,
21 years and older, by demographics					 28
Table 7b. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults,
21 years and older, by geography			 29
Table 8a. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and
older, by demographics			 30
Table 8b. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and
older, by geography			 31
Table 9a. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and
older, by demographics	 32
Table 9b. UFCR Estimates (g/'day): Total Finfish, Adults, 21 years and
older, by geography	 33
Table 10a. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and
older, bv demographics	 34
Table 10b. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and
older, by geography	 35
Table 11a. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21
years and older, by demographics	 36
Table lib. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21
years and older, by geography	 37
Table 12a. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21
years and older, by demographics	 38
Table 12b. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21
years and older, by geography	 39
Table 13a. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21
years and older, by demographics	 40
Table 13b. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21
years and older, by geography	 41
Table 14a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 2 Fish, Adults, 21 years and older, by demographics	 42
in

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Table of Contents
(continued)
Table	Page
Table 14b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 2 Fish, Adults, 21 years and older, by geography	 43
Table 15a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 3 Fish, Adults, 21 years and older, by demographics	 44
Table 15b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 3 Fish, Adults, 21 years and older, by geography	 45
Table 16a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 4 Fish, Adults, 21 years and older, by demographics..	 46
Table 16b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 4 Fish, Adults, 21 years and older, by geography....	 47
Table 17. Models used to compare UFCR Estimates from the Modified
NCI Method and the NCI Method							 48
Figure	Page
Figure 1. Estimated usual intake of total fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 49
Figure 2. Estimated usual intake of freshwater + estuarine fish (g),
comparison of EPA's Modified NCI Method and NCI Method	 50
Figure 3. Estimated usual intake of marine fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 51
Figure 4. Estimated usual intake of estuarine fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 52
Figure 5. Estimated usual intake of total fish (g), comparison of EPA's
Modified NCI Method and NCI Method with 95% CIs	 53
List of Appendices
A	Habitat Apportionment Documentation
B	Fish-Containing Food Codes
C	Usual Fish Consumption Rate Tables
IV

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1 Background
In October, 2000, EPA's Office of Water (OW) published a document titled, Methodology for
Deriving Ambient Water Quality Criteria for the Protection of Human Health. This document
presents EPA's recommended methodology for developing ambient water quality criteria as required
under Section 304(a) of the Clean Water Act (CWA). Due to the fact that fish consumption varies
by geographical location, racial/ethnic group, age, income, and possibly other factors, EPA
suggested a "four preference hierarchy" for states and tribes to follow. The four preference
hierarchy is:
1.	Use of local data
2.	Use of data reflecting similar geography/population groups
3.	Use of data from national surveys
4.	Use of EPA's default intake rates.
The methodology included the current default fish consumption rate (FCR) used by OW:
•	17.5 grams/day for the general U.S. population and recreational fishers
•	142.4 g/day for subsistence fishers.
These rates are the 90th and 99th percentile of freshwater and estuarine fish consumption as
calculated from the Continuing Survey of Food Intake by Individuals (CSFII) conducted by the U.S.
Department of Agriculture (USDA) in 1994-1996, for adults 18 years and older. The analytical
methodology used to calculate these rates involved apportioning species consumed to habitats
(marine, estuarine, and freshwater), multiplying these habitat proportions by grams reported
consumed, and then calculating the mean and percentiles of the grams of fish consumed per day by
habitat, directly from these resulting amounts. This methodology provides estimates of short-term
UFCR.
As fish consumption may have changed over the past decade and new analytical methodologies have
been developed, OW has conducted a new analysis of FCR. These new FCR were estimated using
data from the National Health and Nutrition Examination Survey (NHANES) 2003-2010.
NHANES is a continuous survey designed to collect data on the health and nutritional status of the
U.S. population. Each two-year cycle is designed to be representative of the general U.S. population.
In the mid-2000s, the National Cancer Institute (NCI) developed a statistical methodology to
estimate usual intake of episodically consumed foods. This method, known as the NCI Method, has
been published and statistical programs are available on NCI's website. The NCI method provides
estimates of usual daily intake rates representing the long-term average grams of fish consumed per
day. Due to the episodic nature of fish consumption, the NCI Method models both the probability
of consumption on a given day and the amount consumed on days when some fish is consumed.
These two predicted values are then multiplied together to get a usual intake value. The calculations
using the NCI Method are very time consuming. In order to get estimates in a reasonable time, EPA
created a program that approximates the results from the NCI Method.
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Usual fish consumption rates (UFCR) were estimated for the general U.S. population, the youth
population under 21 years of age, and the adult population 21 years and older. UFCR estimates were
calculated for various subpopulations, e.g., by age, gender, race/ethnicity, income, and by U.S.
Census Region and coastal and noncoastal populations. We estimated UFCR for 18 different
categories of fish. These are:
•	Total fish
•	Total finfish
•	Total shellfish
•	Marine fish
•	Freshwater fish
•	Estuarine fish
•	Freshwater + estuarine fish
•	Freshwater + marine fish
•	Estuarine + marine fish
•	Trophic level 2 fish
•	Trophic level 3 fish
•	Trophic level 4 fish
•	Marine trophic level 2 fish
•	Marine trophic level 3 fish
•	Marine trophic level 4 fish
•	Freshwater + estuarine trophic level 2 fish
•	Freshwater + estuarine trophic level 3 fish
•	Freshwater + estuarine trophic level 4 fish
This report presents the methodologies used to extract fish consumption data form the NHANES
datasets, the habitat apportionment methodology, the trophic level assignment methodology, the
statistical methodology, and the UFCR estimates and 95 % CI of the mean and the 25th, 50th, 75th,
90th, 95th, 97th, and 99th percentiles.
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2 National Health and Examination Survey
2.1 Survey Description
NHANES is designed to assess the health and nutritional status of adults and children in the US. It
is conducted by of the National Center for Health Statistics (NCHS, 2013), part of the Centers for
Disease Control and Prevention (CDC) which is responsible for producing vital and health statistics
for the US. NHANES began in the 1960s. In 1999, the survey became a continuous program that
examines a nationally representative sample of about 5,000 persons located in 15 counties across the
country each year.
The NHANES interview includes demographic, socioeconomic, dietary, and health-related
questions and the examination component consists of medical, dental, and physiological
measurements, as well as laboratory tests.
NHANES collects 2 days of dietary data from all participants. The first day, the data are collected
in-person at the examination portion of the survey. The second day's data are collected by telephone
interview 3 to 10 days after the in-person interview. Both interviews include a 24-hour dietary recall
section. The primary goal of the 24-hour recall is to collect a detailed list of all the foods and
beverages consumed within a 24-hour period. Food models are used to help participants estimate
the amount consumed. The in-person interview also includes a section on the frequency of
consumption of fish and shellfish in the past 30 days. (NCHS, 2009).
A complex, multistage, probability sampling design is used to select participants representative of the
civilian, non-institutionalized US population.
•	Stage 1: Primary sampling units (PSUs) are selected with probability proportional to a
measure of size (PPS). These are mostly single counties or, in a few cases, groups of
contiguous counties.
•	Stage 2: The PSUs are divided up into segments (generally city blocks or their equivalent). As
with each PSU, sample segments are selected with PPS.
•	Stage 3: Households within each segment are listed, and a household sample is randomly
drawn. In geographic areas where the proportion of age, ethnic, or income groups selected
for oversampling is high, the probability of selection for those groups is greater than in other
areas.
•	Stage 4: Individuals are chosen to participate in NHANES from a list of all persons residing
in selected households. Individuals are drawn at random within designated age-sex-
race/ ethnicity screening subdomains. On average, 1.6 persons are selected per household.
Oversampling of certain population subgroups is done to increase the reliability and
precision of health status indicator estimates for these groups.
The NHANES data files include analysis weights to account for the complex survey design
(including oversampling), survey non-response, and post-stratification. Weighted NHANES results
describe the U.S. Census civilian non-institutionalized population. A person's weight is a measure of
the number of people in the population represented by that sampled person.
3

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2.2
Survey Data
2.2.1	24-hr Recall
The 24-hr dietary recall interview data provide 1) what food items the participants ate and 2) how
much of each food item they ate. All NHANES participants are eligible for the dietary interview
component which occurs during the examination portion of the survey. The first interview is
conducted in-person via a computer-assisted dietary interview software program which was
developed for NHANES. The interviewer uses a standard set of measuring guides to help the
participant report the volume and dimensions of the foods consumed. The second dietary interview
is conducted via telephone. It occurs 3 to 10 days after the first dietary interview. The participants
are given a set of measuring guides to take home and use during the telephone interview.
The 24-hour recall data are collected using the USD A Automated Multiple-Pass Method (AMPM).
Detailed information on the method can be found on USDA's website at:
http:/ /www.ars.usda.gov/Services/ docs.htm?docid=7710. The method is computerized and
research-based. It uses 5 steps designed to assist participants with complete and accurate food recall
and reduce respondent burden.
The five steps are:
1.	Collect a list of foods and beverages consumed the previous day.
2.	Probe for foods forgotten during the step 1.
3.	Collect time and eating occasion for each food.
4.	For each food, collect detailed description, amount, and additions. Review 24-hour day.
5.	Final probe for anything else consumed.
2.2.2	30-day Fish Consumption Frequency
The 30-day fish consumption frequency data are derived from questionnaire data that asks
participants how often in the past 30 days they consumed 31 different fish species. These species
are: clams, crabs, crayfish, lobster, mussels, oysters, scallops, shrimp, other shellfish, unknown
shellfish, breaded fish products, tuna, bass, catfish, cod, flatfish, haddock, mackerel, perch, pike,
pollock, porgy, salmon, sardines, sea bass, shark, swordfish, trout, walleye, other fish, and unknown
fish. Using these data we can derive a variable for the number of times fish was consumed in the
past 30 days by summing up the values for all 31 variables. This information improves intake
estimates for episodically consumed foods like fish, as even people who consumed fish frequently
do not do so every day thus it isn't reported frequently in 24-hour recall data. This derived variable
of frequency of consumption can then be used as a predictor in statistical models of the probability
of fish consumption and fish consumption amount.
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2.3
Food and Nutrient Database for Dietary Studies
The USDA Food and Nutrient Database for Dietary Studies (FNDDS) is the underlying database
used to code dietary intakes for NHANES. It is a database of foods, their nutrient values, and
weights for typical food portions. For each new version of FNDDS, foods, portions, and nutrient
values are reviewed and updated to reflect the U.S. food supply by incorporating new foods based
on what is reported in the survey and updating existing entries.
In FNDDS, each food is given an 8-digit food code. The first digit identifies one of nine major food
groups. The second, third, and fourth digits identify increasingly more specific subgroups. Most fish-
containing foods are found under "26 — Fish and Shellfish," "27 — Meat, Poultry, Fish with nonmeat
items," and 28 which includes soups and frozen meals. Other fish-containing foods are found under
"5 — Grains" such as seafood pizza and pasta dishes and "7 — Vegetables" for dishes that are mainly
vegetables but that also contain fish and/or shellfish.
The NHANES 24-hour recall data includes these same food codes for each reported food
consumed, thus the reported foods can be merged to the FNDDS files to obtain recipe information.
The FNDDS files are available from the Agriculture Research Service of the USDA (USDA, 2006;
USDA, 2008; USDA 2010; Ahuja, et al, 2012).
2.4 Regions
Patterns of fish and shellfish consumption may vary by geography such as between U.S. residents
that live on or near the coast and those who live inland or between regions of the U.S. as defined by
the U.S. Census Bureau (Mahaffey, et al, 2009). Fish consumption patterns may also vary by specific
coast (e.g., residents near the Atlantic coast may have different fish consumption patterns than those
on the Gulf of Mexico coast). In order to estimate fish consumption rates by region and coast, we
assigned NHANES respondents to U.S. Census Bureau regions and coastal or noncoastal status, and
further categorized them into 8 regions: Atlantic Coast, Northeast, Great Lakes, Midwest, South,
Gulf of Mexico, West, and Pacific Coast. The geography data were obtained from NCHS Research
Data Center, through their restricted use data access procedures.
The geographic unit used by NHANES is a county or county equivalent, thus our definitions of
coastal and noncoastal were limited to county boundaries. All counties that bordered the Pacific or
Atlantic Oceans, the Gulf of Mexico or any of the Great Lakes were defined as coastal.
Additionally, counties that bordered estuaries and bays were defined as coastal as were counties
whose centroid was within approximately 25 miles of any coast even if not directly bordering a
coast. The four coastal regions were then defined based on nearest body of water. The following
provides definitions of each region:
• U.S. Census Regions
o Midwest = OH, MI, IN, WI, II., MO, IA, MN, SD, ND, NE, and ICS
o Northeast = PA, NY, NJ,CT, RI, MA, MI, VT, and ME
o South = DE, Ml), DC, VA, WV, ICY, TN, NC, SC, GA, AL, MS, FL, LA, \R, OK,
and TX
o West = NM, CO, WY, MT, ID, UT, AZ, NY, CA, OR, WA, AIC, and HI
5

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• Coastal and Inland Regions
o Pacific Coast = coastal counties in CA, OR, WA, AK, and HI
o Atlantic Coast = coastal counties in CT, 1)1'., DC, FL (bordering Atlantic Ocean),
GA, ME, Ml), MA, MI, NJ, NY, NC, PA, RI, SC, and VA
o Gulf of Mexico Coast = coastal counties in AL, FL (bordering Gulf of Mexico), LA,
MS, and I X
o Great Lakes Coast = counties bordering the Great Lakes in MI, \\'I, Oil, NY, MN,
IN, II., and PA
o Inland West = remaining counties in CA, OR, WA, AK, and III and all of NM, CO,
WY, MT, ID, UT, AZ, and NV
o Inland South = remaining non-coastal counties in DE, Ml), DC, VA, NC, SC, GA,
AL, MS, I I., LA, and I X and all of WV, ICY, TN, AR, and OK
o Inland Northeast = remaining counties in P A, NY, NJ, CT, RI, MA, NH, and ME
and all of VT.
o Inland Midwest = remaining counties in Oil, MI, IN, WI, II., and MN and all of
MO, IA, SD, ND, NE, and ICS
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3 NCI Method
The NCI Method (Tooze, et al, 2006; Tooze, et al, 2010) can be used to estimate the distribution of
usual intake for a population or subpopulation. The premise of the NCI method is that usual intake
is equal to the probability of consumption on a given day times the average amount consumed on a
"consumption day." For episodically-consumed foods, such as fish, a two-part model is used to
estimate usual intake. The first part estimates the probability of consumption using logistic
regression with a person-specific random effect. The second part uses linear regression on a
transformed scale to estimate the consumption-day amount, also with a person-specific effect. The
two parts are linked by allowing the person-specific effects to be correlated and by including
common predictors in both parts of the model. Data from one or more non-consecutive 24-hour
recalls provide the values for the dependent variable. At least a subset of the population needs to
have consumption data from two or more 24-hour recalls. Predictors related to either the probability
of consumption or consumption amount, such as gender, age, race, and income can be included in
the modeling. In most cases, the most important predictor is a measure of frequency of
consumption of the food of interest (in this case, fish) obtained from a food frequency
questionnaire. The resulting model parameters are then used to estimate population and
subpopulation distributions.
Evidence for the validity of the method has been published in a series of papers in the Journal of the
American Dietetic Association, Statistics in Medicine, and the Journal of Nutrition (Dodd, et al,
2006;Tooze, et al, 2006; Tooze, et al 2010; Freedman, et al, 2010;)
The NCI Method is an improvement over other methods designed to estimates usual intake of
episodically consumed foods because it:
•	Accounts for reported days without consumption or for consumption-day amounts that are
positively skewed
•	Distinguishes within-person from between-person variation
•	Allows for the correlation between the probability of consumption and the consumption-day
amount
•	Relates covariate information to usual intake
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4 Methods
4.1 I ibitat Apportionment
In order to make estimates of fish consumption rates for marine fish, estuarine fish, freshwater fish,
and various combinations of these types, the fish species reported as consumed by NHANES
participants were apportioned to habitats. The assignments of species were completed by a fisheries
biologist. Appendix A contains the detailed documentation of the assignments for each species.
The fish were apportioned to align with EPA's long-standing interpretation of section 303(c) (2) (A)
of the Clean Water Act that State and Tribal waters should support safe consumption of fish and
shellfish and that the standards need to be set to enable residents to safely consume from local
waters the amount of fish they would normally consume from all fresh and estuarine (including near
coastal) waters. Thus marine species that are harvested in near coastal waters were assigned to the
estuarine habitat in order to be included in the freshwater + estuarine fish consumption rate. The
following decisions concerning habitat assignments were made:
•	Estuarine fish and shellfish include estuarine species harvested in near-coastal areas (clams,
mussels, crabs, lobster, shrimp) and single species that live in both marine and estuarine
habitats (e.g., specific clam and octopus species or the single jellyfish species that comprises
the US jellyfish fishery).
•	Tilapia was assigned 50 percent freshwater and 50 percent estuarine, even though it is rare in
US waters to be consistent with, . .the standards need to be set to enable residents to safely
consume from local waters the amount of fish they would normally consume from all fresh
and estuarine (including near coastal) waters."
•	Shrimp was assigned 17.6 percent marine and 82.4 percent estuarine. NOAA landings data
show that 17.6 percent of shrimp harvested in 2009-2010 were "Ocean Shrimp (Oregon
Pink Shrimp)," "Rock Shrimp," "Royal Red Shrimp," and "Marine Shrimp, Other."
•	Salmon was assigned 96 percent marine, 0.5 percent freshwater, and 3.5 percent estuarine.
The freshwater percent is landlocked sockeye salmon (Kokanee) found natively in Alaska,
Washington, and Oregon, but they have also been introduced to many other states for
recreational fishing. The estuarine percent includes saltwater trout which is included in the
NHANES salmon group and the small proportion of salmon that are harvested in estuaries.
Note that farmed Atlantic salmon were assigned to the marine habitat as they are produced
outside of the U.S. in marine waters.
Table 1 presents the final proportion of each NHANES fish group that is assigned to marine,
estuarine, and freshwater habitats. The remainder of section 4.1 discusses the details of these
assignments. Note that unspecified fish consumed was assigned the overall average habitat
apportionment of all species reported consumed.
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Table 1. Habitat Assignments of NHANES Fish Groups
Species/Group

Proportion

Marine
Freshwater
Estuarine
Abalone
1.000
0.000
0.000
Anchovy
0.000
0.000
1.000
Barracuda
1.000
0.000
0.000
Carp
0.000
1.000
0.000
Catfish
0.000
0.900
0.100
Clam
0.840
0.000
0.160
Cod
1.000
0.000
0.000
Conch
1.000
0.000
0.000
Crab
0.273
0.000
0.727
Crayfish
0.000
1.000
0.000
Croaker
0.071
0.050
0.879
Eel
0.000
1.000
0.000
Fish not specified
0.520
0.160
0.320
Flatfish
0.870
0.000
0.130
Haddock
0.945
0.050
0.006
Halibut
0.780
0.000
0.220
Herring
0.304
0.010
0.686
Jellyfish
0.000
0.000
1.000
Lobster
0.044
0.000
0.956
Mackerel
0.411
0.000
0.589
Mullet
0.000
0.000
1.000
Mussel
0.000
0.000
1.000
Octopus
0.620
0.000
0.380
Oyster
0.000
0.000
1.000
Perch
0.000
1.000
0.000
Pike
0.000
1.000
0.000
Pompano
0.661
0.002
0.338
Roe
0.085
0.235
0.680
Salmon
0.960
0.005
0.035
Sardine
0.900
0.000
0.100
Scallop
0.000
0.000
1.000
Scup/Porgy
0.981
0.000
0.019
Sea Bass
0.925
0.025
0.050
Shad
0.304
0.010
0.686
Shark
0.866
0.000
0.134
Shrimp
0.176
0.000
0.824
Snail
0.450
0.100
0.450
Snapper
0.981
0.000
0.019
Squid
0.800
0.000
0.200
Sturgeon
0.000
0.420
0.580
Swordfish
1.000
0.000
0.000
Trout
0.106
0.869
0.025
Tuna
1.000
0.000
0.000
Whelk
0.000
0.000
1.000
Whitefish
0.877
0.000
0.123
Whiting
1.000
0.000
0.000
Tilapia
0.000
0.500
0.500
Rockfish/Ocean Perch
0.925
0.000
0.075
Breaded Fish Products
1.000
0.000
0.000
9

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4.1.1 NHANES Fish Groupings
When the raw 24-hr recall data are processed by NHANES, fish species reported consumed are
combined. The list below presents the fish groups that are specified in NHANES data and the
additional species that are included in each.
•	Abalone
•	Anchovy
•	Barracuda
•	Carp (bream; buffalofish; and sucker)
•	Catfish (bullhead)
•	Clams
•	Cod
•	Conch
•	Crab
•	Crayfish
•	Croaker (angelfish; butterflyfish;
drumfish; goatfish; kingfish; sea trout;
freshwater sheepshead; spadefish;
spot; surgeonfish; weakfish; weke;
goo; and gaspergou)
•	Eel
•	Fish stick, patty, or fillet, not specified
as to type (commercial products such
as Mrs. Paul's, Gorton's, Van de
Kamp's)
•	Fish, not specified as to type
•	Flounder (dab; fluke; halibut; sole; and
turbot)
•	Haddock (blowtish; burbot; cusk;
hake; ling; monkfish; pollock; and
scrod)
•	Halibut
•	Herring (alewife; milkfish; and shad)
•	Jellyfish
•	Lobster
•	Mackerel (garfish; ono; needlefish; and
wahoo)
•	Mullet
•	Mussels
•	Ocean perch (bocaccio; menpachi;
orange roughy; redfish; and rockfish)
•	Octopus
•	Oysters
•	Perch (freshwater bass; bluegill;
crappie; sunfish; and walleye)
•	Pike (muskellunge; and pickerel)
•	Pompano (akule; blackfish; bluefish;
butterfish; dolphinfish; jack;
mahimahi; paplo; parrot fish;
sablefish; scad; tilefish; ulva; and
yellowtail)
•	Porgy (scup; sea bream; marine
sheepshead; and snapper)
•	Ray (skate) [not reported ever
consumed]
•	Roe
•	Roe, sturgeon (caviar)
•	Salmon (saltwater trout)
•	Sardines
•	Scallops
•	Sea bass (grouper; striped bass;
wreakfish; and bass)
•	Shark (dogfish; and grayfish)
•	Shrimp
•	Smelt [not reported ever consumed]
•	Snails
•	Snapper
•	Squid (cuttlefish)
•	Sturgeon
•	Swordfish (marlin)
•	Tilapia
•	Trout (cisco; lake herring; steelhead;
and whitefish)
•	Tuna (ahi; aku; and bonito)
•	Whelk
•	Whitefish
•	Whiting
10

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This grouping of species complicates the assignment of habitat because in many cases the grouped
fish inhabit different habitats. For example, burbot, a freshwater fish, is part of the haddock group,
which is defined by the Order Gadiformes (excluding cod). All of the other species in this group are
marine and estuarine. For these groups, we used NHANES files from 2007-08 (the only available)
that provide the number of times a species was reported by all participants. Using the haddock
group as an example, in 2007-08 blowfish, burbot, cusk, hake, ling, and monkfish were reported 0
times, pollock was reported 10 times, scrod was reported 2 times, and haddock was reported 4
times. These counts were then used to assign proportions of each species in the group to the total
group. No species in a group was assigned 0 percent based on a 0 count in the files, because it may
be reported in another NHANES cycle. The assigned proportions were then multiplied by the
habitats and summed to get the total habitat proportions for the fish group.
4.1.2 Use of NOAA Landings Data
Other assignments were complicated by the fact that a species lives in multiple habitat types, either
at different life stages or because different species occupy different habitats. For these species,
habitat apportionment was aided by using the National Oceanographic and Atmospheric
Administration (NOAA) landings data (httpi/Avw	ฆ
Table 2 is an example of the NOAA landings data for clams for 2010. In order to apportion the
total consumption of clams to estuarine and marine, we first assigned a habitat to each clam species
listed. According to these data, excluding the catch-all category, 84 percent of all clam landed in
2010 was from the marine environment and 16 percent was from the estuarine environment
(multiplying the proportion of total without catch-all by the habitat proportion for each species and
then summing for each habitat). These proportions excluding the catch-all category were then
applied to the catch-all category, and the overall proportions were re-calculated.
This methodology was used to assist the apportionment of the following species: catfish, clam, crab,
flatfish, flounder, sole, halibut, lobster, mackerel, porgy, shrimp, and whiting.
11

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Table 2. NOAA landings data, clam apportionment

Pounds Landed,
2010
Proportion of
Total
Proportion of Total
(w/o catch-all
category)
Habitat
Habitat Percent
CLAM, ARC, BLOOD
23,738
0.0003
0.0003
estuarine & marine harvested near coast
100E
CLAM, ATLANTIC JACKKNIFE
67,334
0.0008
0.0008
estuarine
100E
CLAM, ATLANTIC SURF
37,465,740
0.4188
0.4542
marine
100M
CLAM, BUTTER
15,133
0.0002
0.0002
estuarine & marine harvested near coast
100E
CLAM, MANILA
937,915
0.0105
0.0114
estuarine
100E
CLAM, NORTHERN QUAHOG
4,406,313
0.0493
0.0534
estuarine
100E
CLAM,OCEAN QUAHOG
31,704,091
0.3544
0.3844
marine
100M
CLAM, PACIFIC GEODUCK
2,777,529
0.0310
0.0337
estuarine & marine harvested near coast
100E
CLAM, PACIFIC LITTLENECK
26,811
0.0003
0.0003
estuarine & marine harvested near coast
100E
CLAM, PACIFIC RAZOR
138,826
0.0016
0.0017
marine
100M
CLAM, PACIFIC, GAPER
6,061
0.0001
0.0001
estuarine & marine harvested near coast
100E
CLAM, QUAHOG
634,131
0.0071
0.0077
estuarine
100E
CLAM, SOFTS HELL
4,278,356
0.0478
0.0519
estuarine & marine harvested near coast
100E
CLAMS OR BIVALVES
6,980,468
0.0780

estuarine & marine (catch-all category)
16E/84M
Total Pounds
89,462,446




Total Pounds w/o catch-all
82,481,978




w/o catch-all
Proportion
Estuarine
0.15971




Proportion
Marine
0.84029



Total
Proportion
Estuarine
0.15973




Proportion
Marine
0.84027



12

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4.1.3 Imported Fish and Farmed Fish
It is known that the US imports a large proportion of the fish consumed from overseas. According
to NOAA Fish Watch, 86 percent of the fish consumed in the US is imported
(http://www ilshwatch.gov/wild seafood/outside the us.htm). The top imported species are
shrimp, freshwater fish (mainly tilapia and catfish), tuna, salmon, groundfish {e.g., cod, haddock,
flounder), crab, and squid. As marine fish are not harvested from US waters for which states would
be developing water quality standards, the issue of importation for these species is not relevant.
However, shrimp is the most commonly consumed fish by US consumers. It is unknown whether
the proportion consumed that was harvested in non-US waters is distributed equally across the
distribution of fish consumers. For example, it is possible that high fish consumers eat more locally
caught fish as they may be more likely to be recreational or subsistence fishers. For the purposes of
developing UFCR, we assumed that all estuarine, freshwater, and near coastal fish that were
consumed were from US waters. The reason for this is that standards need to be set to enable
residents to safely consume from local waters the amount of fish they would normally consume
from all fresh and estuarine (including near coastal) waters.
There are similar issues with farmed freshwater fish. Freshwater fish can be farmed in man-made
ponds or tanks for which the states will not be developing water quality standards. However, as
noted above in the discussion concerning imported fish, the proportion of freshwater fish
consumed that is farmed, may not be evenly distributed across the distribution of consumption.
Again, it is possible that high fish consumers are eating locally caught fish through recreational or
subsistence fishing and thus eating a smaller proportion of farmed fish than those at the middle and
low end of the consumption distribution. Thus farmed species will be assumed to be wild caught.
This allows residents to safely consume from local waters the amount of fish they would normally
consume from fish farms.
4.2 Trophic Level Assignments
The trophic level of an organism is the place it is in the food web. Organisms with higher trophic
levels have higher exposures to environmental contaminants.
•	Trophic level 1 organisms are primary producers (plants and algae).
•	Trophic level 2 organisms are herbivores, also called primary consumers.
•	Trophic level 3 organisms are carnivores that consume primary consumers.
•	Trophic level 4 organisms are carnivores that consume other carnivores.
•	Trophic level 5 organisms are the apex predators.
Trophic level assignments were made using the data provided in the following documents:
1.	Table 6-4 in Methodology for Deriving Ambient Water Quality Criteria for the Protection of
Human Health (2000) Technical Support Document Volume 2: Development of National
Bioaccumulation Factors. December 2003. EPA-822-R-03-030.
2.	Trophic Level and Exposure Analyses for Selected Piscivorous Birds and Mammals. Volume
III: Appendices. September 2002.
13

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For species that were not in those documents, we performed a search of literature available on the
internet and applied the same rules that were described in the December 2003 document:
•	For game fish, data were used for edible size ranges (about 20 cm [8 inches] or larger).
•	For species where multiple size ranges were available, preference was given to the larger
specimens in determining the species trophic level.
•	Trophic level 2 was assigned to a species if appropriate trophic level data ranged between 1.6
and 2.4; trophic level 3 if trophic level data ranged from 2.5 to 3.4; and trophic level 4 if
trophic level data were 3.5 or higher. This is consistent with the approach taken in the Great
Lakes Water Quality Initiative guidance (USEPA, 1995b).
•	In determining NHANES grouping trophic level assignments, best professional judgment
was used. For example, the NHANES grouping for catfish includes four species that are
assigned to trophic level 3 and three species assigned to trophic level 4. Thus, it is assumed
that half (50 percent) of consumption in the catfish NHANES grouping is from TL3 and
half from TL4.
Table 3 presents the final trophic level assignments.
14

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Table 3. Trophic Level Assignments
Proportion of Assigned to Trophic Level
Fish Species/Group
Trophic Level 2
Trophic Level 3
Trophic Level 4
ABALONE
1
0
0
ANCHOVY
0.5
0.5
0
BARRACUDA
0
0
1
CARP
0
1
0
CATFISH
0
0.5
0.5
CLAM
1
0
0
COD
0
0
1
CONCH
1
0
0
CRAB
0
1
0
CRAYFISH
0
1
0
CROAKER
0
0.5
0.5
EEL
0
0
1
FLATFISH
0
0.5
0.5
HADDOCK
0
0
1
HALIBUT
0
0
1
HERRING
0
1
0
JELLYFISH
1
0
0
LOBSTER
0
1
0
MACKEREL
0
0
1
MULLET
1
0
0
MUSSEL
1
0
0
ROCKFISH/OCEAN PERCH
0
0
1
OCTOPUS
0
0.5
0.5
OYSTER
1
0
0
PERCH
0
0
1
PIKE
0
0
1
POMPANO
0
0
1
PORGY/SCUP
0
0
1
ROE
0
0
0
SALMON
0
0
1
SARDINE
0
1
0
SCALLOP
1
0
0
SEA BASS
0
0
1
SHAD
0
1
0
SHARK
0
0
1
SHRIMP
0.5
0.5
0
SNAIL
1
0
0
SNAPPER
0
0
1
SQUID
0
0.5
0.5
STURGEON
0
0
1
SWORDFISH
0
0
1
TROUT
0
0
1
TUNA
0
0
1
WHELK
1
0
0
WHITEFISH
0
1
0
WHITING
0
1
0
TILAPIA
1
0
0
BREADED FISH PRODUCTS
0
0.5
0.5
FISH NOT SPECIFIED
0
0.5
0.5
15

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4.3 Extracting Reported Amounts of Fish Consumed
The FNDDS files were searched to find all food codes that contain finfish and/or shellfish. These
records were then processed to determine the percent of each food code that is fish. During this
processing, each fish ingredient in the recipe was proportioned to marine, estuarine, and freshwater
habitat and to trophic levels 2, 3, and 4, as discussed in Sections 4.1 and 4.2. Each of these values
was summed, along with total fish percent, across all fish-containing ingredients to get total values
for each habitat, trophic level, and total fish for each fish-containing food code.
Some ingredients are pre-processed, such as canned tuna. In order to adjust for moisture loss during
the processing, adjustment factors were applied to the proportions. The adjustment factors applied
were those used in the analysis of the CSFII data published in 2002 (EPA, 2002) and were also used
in the Mercury Report to Congress (EPA, 1997). Table 4 provides the adjustments applied to
processed ingredients.
Table 4. Processing Adjustments
Processing Method	Percent moisture loss
Canned	25
Fried	12
Cooked, dry heat	25
Steamed or poached	21
Dried and salted	80
Pickled	15
Kippered	10
Salted	30
Smoked salmon	5
Smoked sturgeon	16
Smoked tuna	21
Smoked cisco	30
Smoked haddock	11
Appendix B provides a list of all fish-containing food codes reported consumed extracted from the
NHANES data along with:
•	The number of records of that food code in the data
•	The percent of all records that food code makes up
•	The description of the food
•	The fish ingredient description, if more than one
•	The proportion of the food code that is that ingredient
•	Form of ingredient (raw, canned, etc.)
•	Moisture loss due to pre-processing
•	The multiplier to calculate total fish
•	The multiplier to calculate marine fish
•	The multiplier to calculate freshwater fish
16

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•	The multiplier to calculate estuarine fish
•	The multiplier to calculate shellfish
•	The multiplier to calculate finfish
•	The multiplier to calculate trophic level 2
•	The multiplier to calculate trophic level 3
•	The multiplier to calculate trophic level 4
4.4 Statistical Methods
4.4.1 Overview of the NCI method
For an individual, "usual fish consumption" is the long-term mean fish consumption rate expressed
in units such as grams per day. When using the NHANES data for estimation of the distribution of
usual fish consumption across individuals, the NCI method can be used, fitting a statistical model to
the reported fish consumption from two 24-hour dietary recalls. The calculations require two or
more dietary recalls with non-zero fish consumption for at least some survey respondents. The
statistical model has two sub-models: one predicting the long-term probability of fish consumption
in a 24-hour period and, for those that reported some fish consumption, a second model predicting
the long-term mean daily amount of fish consumed. The usual fish consumption (or usual fish
intake) is the product of the probability of fish consumption and the mean amount of fish
consumed.
The sub-model predicting the probability of fish consumption in a 24-hour period has two variance
components, person-level random effects for an individual's long-term probability of consuming
fish and within-individual binomial variation between days when fish was or was not consumed. The
logit-transformed person-level random effects are assumed to be normally distributed.
The amount sub-model involves a Box-Cox transformation such that the transformed amount of
fish consumed in a 24-hour recall is reasonably normally distributed. In the transformed units, the
amount sub-model has two variance components, person-level random effects for an individual's
long-term mean fish consumption and within-individual differences in the amount of fish consumed
on different days. In the transformed units, the person-level mean fish consumption and the within-
individual daily fish consumption are assumed to have normal distributions.
The person-level random effects may be correlated, for example, those with a higher probability of
consuming fish in a 24-hour period may also tend to consume larger daily amounts of fish.
Both sub-models can have additional predictors, such as person-level demographic characteristics
and reported frequency of fish consumption. In addition, the model can incorporate the following
within-person predictors: 1) differences between weekends (Friday to Sunday) and weekdays
(Monday to Thursday), and 2) consistent differences between the first 24-hour recall and the second
24-hour recall in NHANES (the first was completed in person and the second was completed by
phone).
17

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For the NHANES population, the usual fish consumption distribution across the population can be
obtained by simulating the person-level random effects, calculating the usual fish consumption for
each respondent and pair of simulated random components, and calculating weighted estimates of
the usual fish consumption using the NHANES weight and design variables.
EPA created a SAS macro to approximate the results from the NCI method while taking
considerably less time for the calculations. The following describes both the NCI and modified
models.
4.4.2 Calculation steps for the NCI and Modified Models
The NCI method can be implemented using two SAS macros (programs) available from the NCI
website (the MIXTRAN and DISTREB macros). The equations fit using the NCI macros are
presented below.
For individual i, let X= individual level covariates. For the jth 24-hour dietary recall for individual i,
let Ai j equal the grams of fish consumed as reported in a 24-hour dietary recall, P,y = the probability
of consuming fish in a 24-hour period, Wjj indicate whether the 24-hour recall was for a weekend
(Wij = 1) or a weekday (Wij = 0), and S,-y indicate if the 24-hour recall was the first (in-person,
Si j = 0) or the second (by phone, S,-y = 1) dietary recall. The usual daily consumption is the
weighted average of the weekday and weekend estimates. The NCI macro fits some preliminary
models to obtain approximate parameter estimates to use as starting values for the NLMIXED
procedure which fits the following set of equations at one time, using maximum likelihood. In these
equations, the parameters for the probability model are represented by 7T, the parameters for the
amount model are represented by a. and standard deviations of the variance components are
represented by a, and the correlation of the person-level random effects is p.
fฐ Aij = 0
" ~ 11 Aij> 0
Logit(Pij) = log	= no + Xiknxk + tt,- + Wi}nw + S,7%
Cij~Binomial( 1, P(y)
A
Aijx - 1
If A^ > 0 then 7',-y =	= a0 + Xikaxk + at + Wijaw + 5,-,% + at
cXij ^Normal(0, a3)
P ฐ2
[iii ai]~BNormal ([0 0], | ^ )
EPA created a SAS macro to approximate the results from the NCI macro while taking considerably
less computing time. The equations for the EPA macro are described below.
In the NCI method, the maximum likelihood procedure finds the best transformation, defined by A,
consistent with the model and the assumption that the random effects are normally distributed. In
the approximate approach used by EPA, the user specifies the transformation by specifying A = A*.
The macro prints the correlation between the residuals and the associated normal scores as well as a
18

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normal scores plot to help evaluate the choice of A*. The transformed consumption amounts for 24-
hour recalls with reported fish consumption are:
r v - 1
" ~ X'
The following summary statistics are calculated for each person:
S; = Mearij(Sij),Wi = Meanj(W;j), D; = Sum^Q,), N; = Count j(C;j)
For person i, /V<; is the number of 24-hour recalls and D; is the number of 24-hour recalls with
reported fish consumption.
The following logistic regression model was fit using the SAS SurveyLogistic procedure and the
specified survey weights (using the NHANES strata and PSU variables). This logistic regression
model predicts the probability of consuming fish in a 24-hour recall without including the person-
level random effect.
Logit (P) = log	= nQ + Xiknxk + W{Kw + S{ns
The person-level random effect is included by assuming the predicted logit when excluding the
random effect is proportional to the predicted logit when including the random effect. The
following model was fit subject to the constraint that the mean weighted P from the model above is
equal to the expected weighted mean of P(. This is fit by iteratively 1) selecting the standard
deviation of the random effect (aฑ), 2) finding /? such that Mean^P) = E(\1ean;(P;)), and 3)
calculating the expected weighted Chi-square tor predicting the observed data. The expected values
were calculated using numerical integration. The final parameters minimize the Chi-square statistic.
Logit(Pj) = log	= Lo9it{ 0 then T) = a0 + Xikaxk + a- + WitaWB + RtaR
a--Normal(0, a4)
19

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The variance of the within-person variance component is estimated from the differences between
the first and second 24-hour recalls adjusted for consistent differences between the recalls and for
weekday to weekend differences. The following model was fit to estimate the within-person
variance.
If Dt> 1 then (Ai2 - Ari) = as + (Wi2 -	+ a^, where ah = (ai2 + orfl)
The variance of the within person-level random effect is estimated from the RMSE calculated by the
SURVEYREG procedure:
_ RMSE2
The variance of the person-level random effect is:
2 2 2
= (4 - oi
If the estimate of (J2 is less than zero, then:
/ rmse2\
a2 = 0, 
-------
The number of simulated values for each person can be specified. The default number is 100. In the
equations below, the U subscript represents the simulation number.
The following equations are used to simulate an individual's long-term probability of fish
consumption (Qui) and long-term mean (usual) fish consumption when fish is consumed (Jui)- '11
the equations below, the logistic function is the inverse of the Logit function.
Qm = Logistic (nQ + Xiknxk + nm + J nw^j
3
Tin - a0 + XikaXk + aUi +JnW
[nm aui]~BNormal(j_0 0], [ 1
A slightly modified version of these equations is used for the simulated values using the EPA
procedure. In particular, the EPA equation requires simulating the residual from the probability
model for use in the amount model. The EPA equations are:
Qm = Logistic (^n0 + Xiknxk)p + nm + j^wj
Dui~Binomial{Ni, Qm)
Dm - - (( -	3
Rm ~ N,
r - Logistic U ir0 + A',,*,, + P
3
Tm - a0 + X!kaxk + am + -% + ฎmaR
[Uui aui]~BNormal ^[0 0], ^ ฎ ^
Finally, the simulated transformed consumption amounts are untransformed using the following
equation:
Bui = (TmA + 1)CVA) + a^l-A)CrmA+iyu> 2,
This equation includes an adjustment with the within person variance in the fish consumption
amount (erf). This adjustment makes the untransformed fish consumption essentially unbiased
compared to the original mean across the 24-hour recalls.
-1
Although when Atj = 0 the transformed fish consumption is defined (Ty = —), it is possible to
-l
simulate a value such that Tm < — for which the untransformed value is not defined. In the NCI
A
21

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macro, these small simulated values in the transformed scale are set to half of the minimum reported
fish consumption for any 24-hour recall. The same assumption is used in the EPA calculations.
The usual fish consumption for a simulated person is then:
— Qui ^Ui
Summary statistics for the usual fish consumption, such as means and percentiles, can be calculated
using the simulated values and the NHANES survey weights.
4.4.4 Calculation of Confidence Intervals
Various summary statistics (means and percentiles) are calculated using the simulated usual fish
consumption values. Since the usual fish consumption values are generally skewed with a roughly
lognormal distribution, calculating the confidence intervals on the log scale appears reasonable and
has the beneficial effect that confidence limits cannot be negative. As a result, the confidence
intervals for the summary statistics are calculated by 1) fitting the NCI model or EPA model using
the full sample weight and each replicate weight; 2) log-transforming the estimates; 3) calculating the
standard deviation of the estimates using the appropriate formulas for the BRR weights; 4)
calculating confidence intervals for the estimates assuming a normal distribution; and 5) un-
transforming the confidence interval bounds.
4.4.5 Application of Modified NCI Method
For each fish type the NCI Method MIXTRAN macro was used to determine a starting X using the
transformed frequency of consumption as a predictor in the model. The Modified NCI Method was
then used to determine the X that provided the highest correlation by running the model with the
starting X and then lowering and raising X in consecutive runs while including all significant
predictors (age, gender, race/ethnicity, income, coastal/inland region, log-transformed body weight,
and interactions between race/ethnicity and age, race/ethnicity and coastal/inland region, and age
and coastal/inland region). For the trophic level by habitat fish types (e.g., trophic level 2 freshwater
+ estuarine fish) the interaction terms were not included in the models due to the low number of
persons reporting consumption on both recalls for those fish types. When the best lambda was
determined, the Modified NCI Method was run for all replicate weights. The number of simulations
was set to five.
Confidence intervals for summary statistics were then calculated as described in Section 4.4.4.
4.4,6 Comparison of Estimates to NCI Method
In order to evaluate how estimates from the Modified NCI Method compared to estimates from the
full NCI Method, we ran simplified comparable models. The results from this exercise are presented
in Section 5.3.
22

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5 Results
This section presents the sample sizes and the estimated UFCR for all fish and shellfish for adults
and youth, by demographics and geography. Full tables including rates for the total population
(youth and adults combined) and rates for freshwater fish, estuarine fish, marine + freshwater fish,
marine + estuarine fish, and trophic level by habitat are in Appendix C. The tables in Appendix C
include approximate p-values indicating the significance of the differences within subpopulations.
Note that the adult population is defined as people aged 21 years and over. The US EPA Exposure
Factors Handbook classifies those aged 21 years and over as adults. Children are grouped as follows:
3 to <6 years, 6 to <11 years, llto <16 years, 16 to <18 years, and 18 to <21 years.
5.1 Sample Size
Table 5 presents the sample sizes for each subpopulation that reported fish consumption on at least
one 24-hour recall. An expanded table that includes the other fish types for which rates were
calculated can be found in Appendix C.
The model for each fish type was fit using data from the total population. The simulated data were
then summarized by subsets, such as age, race/ethnicity, and region.
23

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Table 5. Sample Size and Number Reporting Fish Consumption, by Fish Type

N
Any Fish
FW+Est
Marine
Finfish
Shellfish
Trophic
Level 2
Trophic
Level 3
Trophic
Level 4
Total
29,463
6,890
4,964
6,285
5,320
2,439
2,705
4,463
4,546
Gender









Female
15,694
3,806
2,725
3,494
2,924
1,345
1,494
2,434
2,498
Male
13,769
3,084
2,239
2,791
2,396
1,094
1,211
2,029
2,048
Age, years









1 to <3
2,325
345
204
305
272
98
111
209
242
3 to <6
2,185
350
200
322
277
104
118
225
246
6 to <11
2,705
454
270
416
367
126
143
286
313
11 to <16
2,806
445
318
402
322
162
180
296
268
16 to <18
1,417
252
180
237
171
96
98
173
155
18 to <21
1,662
311
213
294
227
128
131
209
197
21 to <35
4,381
1,070
815
992
761
489
531
745
645
35 to <50
4,522
1,332
1,018
1,221
1,023
497
566
883
839
50 to <65
3,730
1,216
918
1,101
971
424
468
775
836
65 and older
3,730
1,115
828
995
929
315
359
662
805
WCA (13 to 49 years)
7,870
1,919
1,421
1,785
1,409
768
839
1,300
1,179
Income









<$20k
6,679
1,374
920
1,256
1,091
432
491
911
926
$20k to <$45k
8,955
1,968
1,405
1,774
1,501
695
791
1,285
1,258
$45k to <$75k
5,561
1,334
979
1,211
1,039
465
511
856
898
$75k and over
6,288
1,768
1,336
1,634
1,352
687
740
1,108
1,166
>$20k
825
203
153
182
149
72
86
140
126
Ref/DK income
808
164
118
153
126
57
57
111
116
Income missing
347
79
53
75
62
31
29
52
56
Race/Ethnicity









Mexican American
6,868
1,350
961
1,212
970
524
618
886
823
Other Hispanic
2,405
532
353
490
403
177
202
329
348
Non-Hispanic white
11,980
2,678
1,904
2,509
2,075
955
1,006
1,573
1,835
Non-Hispanic black
6,734
1,818
1,333
1,603
1,464
589
669
1,291
1,184
Other race
1,476
512
413
471
408
194
210
384
356
US Region









Midwest
6,445
1,235
855
1,070
968
381
431
773
840
Northeast
4,475
1,202
814
1,154
912
447
445
733
806
South
11,036
2,687
1,965
2,415
21,090
950
1,086
1,827
1,732
West
7,507
1,766
1,330
1,646
1,331
661
743
1,130
1,168
Coastal Status









Noncoastal
17,251
3,718
2,584
3,376
2,903
1,214
1,344
2,362
2,546
Coastal
12,212
3,172
2,380
2,909
2,417
1,225
1,361
2,101
2,000
US Coastal/Inland









Region









Pacific
3,802
976
747
900
747
369
425
621
644
Atlantic
4,646
1,320
960
1,247
1,011
488
524
865
835
Gulf of Mexico
1,370
361
296
316
275
186
203
269
202
Great Lakes
2,394
515
377
446
384
182
209
346
319
Inland Northeast
2,584
628
416
600
476
229
234
364
416
Inland Midwest
4,137
741
487
645
602
203
226
437
539
Inland South
6,825
1,559
1,098
1,385
1,241
490
566
1,052
1,067
Inland West
3,705
790
583
746
584
292
318
509
524
24

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5.2
UFCR Adults, 21 Years and Older
Tables 6 through 16 present the UFCR estimates for adults 21 years and older for total fish,
freshwater + estuarine fish, marine fish, trophic level 2 fish, trophic level 3 fish, trophic level 4 fish,
trophic level 2 freshwater + estuarine fish, trophic level 3 freshwater + estuarine fish, and trophic
level 4 freshwater + estuarine fish. The tables provide the 50th, 75th, 90th, 95th, 97th, and 99th
percentiles, along with their respective 95 percent confidence intervals.
In the tables there are percentiles for total fish consumed and for various fish types that make up the
total. The mean consumption for all fish should be equal, not counting random errors, to the sum of
the mean consumption across different types of fish, e.g., marine, estuarine, and freshwater or
trophic levels 2, 3, and 4. The same cannot be said about percentiles. At the extreme, the sum of the
maximum fish consumption across fish types will not equal the maximum fish consumption for all
fish except in the very unusual case where one individual is the largest consumer in all fish type
categories. For a selected percentile, the difference between the sum of the percentiles across fish
types and the percentile for all fish will increase as the percentile of interest increases from the 50th
percentile to 90th percentile, 99th percentile, and the maximum. In general, the 90th percentile for
all fish should be greater than the 90th percentile for any one type and less than the sum of the 90th
percentiles across all types. The selected percentiles of the fish types would only sum to the same
percentile of all fish if the fish consumption for different fish types were perfectly correlated.
There are two tables for each fish type, a and b. Table a presents the UFCR by demographic factors
(gender, age, income, and race/ethnicity) and table b presents the UFCR by geography.
25

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Table 6a. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older, by demographics
Total Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
7.27 (4.5,11.7)
15.73(11.9,20.7)
28.31 (23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15(52.8,80.3)
85.30(67.9,107.2)
Gender







Female
6.47 (3.8,11.1)
14.01 (10.4,18.8)
25.18 (20.2,31.4)
39.85 (32.2,49.3)
50.02 (40.6,61.6)
57.56(46.5,71.2)
71.24(54.6,93.0)
Male
8.71 (5.6,13.6)
18.11(14.1,23.3)
32.29 (26.5,39.4)
50.97 (42.0,61.8)
64.06 (52.2,78.7)
74.82 (60.9,92.0)
97.15(77.2,122.2)
Age







21 to <35 yrs
5.13 (2.2,11.9)
13.07(7.3,23.4)
24.45 (17.2,34.8)
40.55 (30.9,53.2)
53.21 (41.8,67.7)
62.05 (49.9,77.2)
86.18(66.5,111.6)
35 to <50 yrs
7.57 (5.2,11.0)
15.50(12.4,19.4)
27.40 (22.3,33.7)
42.77 (34.0,53.8)
53.97 (41.8,69.7)
61.78(46.3,82.4)
78.66(55.0,112.5)
50 to <65 yrs
11.27 (6.3,20.3)
21.30(14.5,31.2)
36.06 (26.3,49.4)
53.88 (40.6,71.5)
65.64 (51.1,84.3)
75.37(57.6,98.5)
95.56(71.2,128.2)
65+ yrs
6.72 (4.7,9.6)
13.90(9.9,19.5)
25.24(18.5,34.5)
39.64 (28.6,55.0)
51.67 (38.8,68.9)
58.70(41.7,82.6)
72.65 (45.8,115.3)
Women of Childbearing Age1
4.01 (2.2,7.3)
11.21(7.7,16.4)
21.53 (16.8,27.5)
34.99 (28.6,42.9)
45.62 (37.2,56.0)
53.36(43.0,66.2)
67.82 (53.6,85.8)
Income







<$20,000
4.47 (2.8,7.1)
11.97(9.2,15.6)
23.26(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88(46.0,72.7)
83.56(63.1,110.6)
$20k-$45k
6.32 (3.6,11.1)
13.81(10.1,18.8)
24.56 (19.9,30.3)
39.26 (32.2,47.8)
51.10 (41.9,62.3)
59.00(48.2,72.2)
77.40 (60.0,99.9)
$45k-$75k
6.94 (4.6,10.5)
15.30(11.1,21.1)
27.60 (21.2,35.9)
43.26 (34.0,55.0)
55.12 (42.5,71.4)
63.46 (48.0,84.0)
81.60(58.5,113.9)
$75k+
9.99 (6.9,14.4)
19.35(15.4,24.3)
33.90 (27.5,41.9)
51.38 (41.8,63.1)
62.26 (50.2,77.3)
71.28(56.9,89.3)
90.52 (69.7,117.6)
>$20,000
7.58 (3.9,14.6)
16.85 (9.2,30.9)
27.98 (18.5,42.3)
42.57 (28.7,63.2)
54.01 (36.3,80.3)
61.71 (41.6,91.5)
83.36(52.9,131.4)
Inc Ref/DK
8.18 (2.1,32.2)
18.29(7.6,44.0)
31.87(17.2,58.9)
51.22 (27.2,96.5)
62.13 (36.6,105.5)
72.31 (40.2,130.2)
85.30(55.2,131.7)
Inc missing
7.83 (1.0,59.5)
19.30(4.3,87.3)
31.80(12.2,83.1)
54.39 (21.2,139.3)
63.67 (30.6,132.5)
89.96(29.1,277.9)
108.79(39.6,299.0)
Race/Ethnicity2







Mexican American
6.35 (3.0,13.3)
16.02 (9.6,26.7)
28.10 (19.9,39.7)
43.86 (32.8,58.7)
55.33 (42.2,72.5)
63.75 (48.6,83.7)
79.80(56.4,112.8)
Other Hispanic
6.89 (3.5,13.6)
15.06(10.4,21.7)
27.81 (20.0,38.7)
46.89 (30.9,71.2)
59.47 (39.2,90.2)
67.60(46.5,98.3)
79.52(55.0,115.1)
Non-Hispanic White
6.89 (4.4,10.9)
14.59(11.4,18.7)
26.22 (21.4,32.1)
41.70 (33.9,51.3)
52.74 (41.7,66.7)
60.42 (46.5,78.5)
78.18(58.7,104.1)
Non-Hispanic Black
8.89 (5.2,15.3)
17.85 (12.9,24.6)
30.74 (24.2,39.0)
46.59 (38.2,56.9)
58.00 (47.6,70.7)
66.16(54.0,81.1)
82.63 (64.4,106.1)
Other race
15.15 (7.2,31.9)
28.78(17.6,47.1)
49.09 (31.3,77.0)
71.11 (51.3,98.5)
89.81 (66.0,122.1)
105.37(75.2,147.7)
131.76(89.0,195.1)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-Hispanic
black, and other non-Hispanic race including non-Hispanic multiracial (other race).
26

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Table 6b. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older, by geography
Total Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
7.27(4.5,11.7)
15.73 (11.9,20.7)
28.31(23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15 (52.8,80.3)
85.30 (67.9,107.2)
Region1







Midwest
5.25(3.2,8.7)
11.33 (8.1,15.8)
20.03(15.3,26.2)
31.52 (23.5,42.4)
41.40(31.2,54.9)
46.68 (32.8,66.5)
63.61 (47.1,85.9)
Northeast
9.03 (5.7,14.3)
20.29(15.1,27.2)
35.94(27.8,46.5)
54.03 (42.1,69.3)
66.55(51.8,85.5)
75.85 (58.3,98.8)
94.75 (70.2,128.0)
South
7.92 (4.2,14.8)
16.60(11.6,23.7)
29.05 (22.9,36.8)
45.64 (36.9,56.5)
58.23 (47.0,72.2)
67.39 (53.9,84.3)
93.86 (69.9,126.1)
West
8.74(5.7,13.4)
17.66(13.3,23.5)
30.76(23.9,39.5)
47.81 (36.8,62.1)
58.34(46.3,73.5)
65.39 (50.9,84.1)
78.63 (53.8,115.0)
Coastal Status







Noncoastal
6.67(3.5,12.6)
14.52 (10.0,21.1)
25.95 (20.0,33.6)
41.75 (31.9,54.7)
52.71 (40.8,68.0)
60.55 (46.8,78.3)
78.78 (59.3,104.6)
Coastal
8.59(6.3,11.7)
17.73 (14.2,22.2)
31.48(25.4,39.0)
49.69 (40.5,61.0)
62.13 (49.9,77.4)
71.62 (57.1,89.9)
92.02 (70.1,120.9)
Coastal/Inland Region2







Pacific
7.79(5.3,11.5)
17.15 (12.8,23.0)
30.08(23.6,38.3)
47.56 (38.5,58.7)
57.07 (43.7,74.4)
64.78 (47.7,88.0)
78.00 (46.7,130.4)
Atlantic
9.80(6.6,14.6)
19.47 (13.7,27.7)
33.19(23.0,47.9)
50.48 (35.3,72.2)
63.05 (45.1,88.2)
71.48 (50.4,101.4)
91.63 (65.4,128.5)
Gulf of Mexico
10.20(5.0,20.8)
21.69(12.4,37.8)
40.39(24.3,67.1)
63.32 (40.9,98.1)
82.49(52.9,128.6)
97.58 (59.7,159.5)
126.36 (78.3,203.9)
Great Lakes
5.71(3.6,9.1)
12.36 (8.4,18.3)
23.38(16.8,32.6)
36.31 (24.4,54.0)
47.37(33.0,68.0)
55.98 (40.1,78.1)
78.34 (59.4,103.3)
Inland Northeast
7.36(4.0,13.5)
19.85 (12.0,32.8)
35.86(22.9,56.2)
54.30 (35.6,82.9)
69.02 (43.9,108.6)
78.14 (50.9,119.9)
95.75 (63.1,145.2)
Inland Midwest
5.13(2.7,9.8)
11.12 (7.2,17.2)
19.30(14.3,26.1)
29.65 (22.4,39.2)
40.05 (29.7,54.0)
45.24 (33.9,60.3)
59.71 (44.6,79.9)
Inland South
7.02(2.8,17.5)
15.03 (8.7,26.0)
25.43 (18.8,34.3)
39.37 (30.9,50.2)
49.99 (40.0,62.4)
56.86 (45.8,70.6)
74.52 (57.3,96.9)
Inland West
9.61 (4.7,19.5)
18.22 (11.8,28.1)
32.02 (20.3,50.4)
48.00 (31.8,72.4)
59.09 (40.4,86.4)
65.89 (46.1,94.2)
79.17 (54.4,115.2)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
27

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Table 7a. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults, 21 years and older, by demographics
Freshwater+Estuarine Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
1.93 (1.1,3.3)
4.93 (3.0,8.0)
10.99 (8.0,15.1)
20.90
(16.6,26.3)
29.74 (23.5,37.6)
36.80 (28.3,47.8)
57.09 (40.1,81.2)
Gender








Female
1.63 (1.0,2.8)
4.16(2.5,6.8)
9.15 (6.3,13.2)
17.20
13.0,22.7)
24.63 (18.8,32.3)
31.06 (23.4,41.3)
46.02 (32.6,65.0)
Male
2.50(1.5,4.3)
6.13(3.8,10.0)
13.56(10.1,18.2)
25.09
19.9,31.6)
35.13 (27.2,45.3)
43.32 (32.9,57.1)
64.41 (45.9,90.4)
Age








21 to <35 yrs
1.62 (1.0,2.6)
4.48(3.2,6.2)
10.30 (8.1,13.2)
20.52
15.6,26.9)
29.91 (22.3,40.2)
37.39 (27.7,50.5)
63.76 (36.5,111.4)
35 to <50 yrs
1.92 (1.1,3.4)
4.82(2.8,8.3)
10.88 (7.1,16.6)
20.91
14.9,29.4)
29.98 (21.4,42.0)
38.00 (26.9,53.8)
56.84 (38.1,84.8)
50 to <65 yrs
2.73 (1.4,5.4)
6.32(3.7,10.7)
12.85 (8.9,18.4)
23.11
17.6,30.4)
31.87 (24.1,42.2)
38.28 (28.1,52.1)
57.09 (38.3,85.1)
65+ yrs
1.66 (0.6,4.8)
4.27(1.9,9.7)
9.42 (5.3,16.6)
17.70
11.8,26.5)
25.00 (17.7,35.4)
31.28 (23.1,42.4)
45.01 (32.0,63.3)
Women of Childbearing Age1
1.09 (0.7,1.7)
3.26(2.1,5.0)
7.86 (5.5,11.2)
15.79
11.9,21.0)
23.70(18.1,31.0)
29.90 (22.2,40.2)
46.38 (32.4,66.4)
Income








<$20,000
1.44 (0.8,2.6)
4.34(2.8,6.7)
10.11 (7.2,14.2)
19.24
14.2,26.1)
28.33 (21.7,36.9)
34.81 (25.7,47.1)
58.09 (37.4,90.2)
$20k-$45k
1.69 (0.9,3.1)
4.34(2.4,7.8)
9.73 (6.4,14.7)
18.13
12.6,26.0)
26.82 (20.1,35.8)
33.30 (24.3,45.6)
54.19 (36.8,79.7)
$45k-$75k
1.82 (1.1,3.1)
4.71(3.2,7.0)
10.36 (7.7,14.0)
19.28
14.8,25.1)
26.33 (19.4,35.8)
33.11 (24.2,45.4)
53.44 (33.7,84.8)
$75k+
2.42 (1.1,5.2)
5.66(2.8,11.3)
12.61 (8.4,19.0)
23.62
17.8,31.4)
34.06 (26.2,44.3)
41.31 (30.9,55.3)
62.84 (42.0,94.1)
>$20,000
2.26(1.1,4.5)
5.89(3.3,10.7)
12.27 (6.9,21.9)
22.36
11.2,44.8)
29.72 (15.6,56.7)
37.96(17.3,83.3)
51.37 (25.4,103.9)
Inc Ref/DK
2.42 (1.2,4.8)
6.60(3.5,12.5)
14.54 (7.1,29.8)
26.10
12.7,53.5)
33.66(18.0,63.1)
39.71 (21.8,72.3)
50.89 (28.5,90.9)
Inc missing
3.55 (0.5,26.8)
7.54(2.3,25.0)
16.14 (5.5,47.5)
29.99
10.4,86.7)
38.76 (15.0,99.9)
56.84 (16.5,195.4)
66.74 (26.6,167.2)
Race/Ethnicity2








Mexican American
2.39 (1.4,4.0)
6.47(4.1,10.1)
13.40 (8.3,21.6)
24.78
16.5,37.3)
32.70 (19.4,55.2)
38.63 (20.9,71.4)
53.80 (26.5,109.3)
Other Hispanic
2.34(1.4,3.9)
5.93(3.5,10.0)
12.85 (8.0,20.7)
27.60
17.7,43.1)
41.19 (22.0,77.3)
53.33 (24.3,117.0)
76.96 (32.7,181.1)
Non-Hispanic White
1.67 (0.9,3.1)
4.17(2.4,7.3)
9.04 (5.8,14.0)
16.99
12.3,23.4)
23.76(17.2,32.7)
29.73 (22.0,40.1)
42.53 (30.0,60.2)
Non-Hispanic Black
2.88(1.6,5.1)
7.04(4.6,10.9)
14.10 (10.0,19.9)
24.54
18.3,33.0)
33.01 (23.9,45.7)
40.13 (29.1,55.3)
60.52 (40.2,91.1)
Other race
5.20 (3.0,9.0)
13.23(7.1,24.8)
25.91 (14.8,45.5)
46.42
25.8,83.6)
64.67 (34.0,123.0)
78.09 (41.9,145.6)
103.85 (59.7,180.8)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
28

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Table 7b. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults, 21 years and older, by geography
Freshwater+Estuarine Fish



Percentiles(95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
1.93(1.1,3.3)
4.93 (3.0,8.0)
10.99 (8.0,15.1)
20.90 (16.6,26.3)
29.74 (23.5,37.6)
36.80 (28.3,47.8)
57.09 (40.1,81.2)
Region1







Midwest
1.22 (0.6,2.6)
3.09 (1.5,6.4)
6.57 (3.2,13.3)
12.43 (6.8,22.8)
17.80 (9.9,31.9)
22.74 (13.6,38.0)
39.41 (26.4,58.7)
Northeast
2.48(1.4,4.3)
6.49 (4.4,9.5)
14.03 (11.0,17.9)
24.64(19.1,31.7)
32.84 (25.3,42.6)
38.84 (29.6,51.0)
52.54 (37.1,74.4)
South
2.57(1.6,4.1)
6.36 (4.3,9.4)
13.61 (10.0,18.5)
24.35 (18.1,32.7)
34.28 (25.2,46.5)
42.02 (30.4,58.1)
61.89 (43.6,87.9)
West
2.01(1.1,3.8)
4.84 (2.7,8.7)
10.39 (6.6,16.4)
20.12 (14.3,28.3)
29.63 (20.3,43.2)
36.98 (24.7,55.4)
60.44 (33.1,110.2)
Coastal Status







Noncoastal
1.63 (0.9,2.8)
4.24 (2.6,7.0)
9.53 (6.8,13.4)
17.83 (13.4,23.8)
25.64(19.3,34.1)
31.68 (23.1,43.5)
47.34 (32.0,70.0)
Coastal
2.59(1.4,4.9)
6.23 (3.6,10.9)
13.67 (9.5,19.6)
25.09(18.8,33.5)
35.64 (27.0,47.1)
44.97 (33.5,60.3)
67.62 (46.7,97.9)
Coastal/Inland Region2







Pacific
2.18(1.0,4.8)
5.19 (2.5,10.7)
11.30 (6.6,19.2)
21.73 (14.1,33.5)
31.66 (20.5,49.0)
39.32 (25.0,61.9)
61.40 (34.9,107.9)
Atlantic
2.95(1.2,7.2)
6.66 (3.1,14.3)
13.50 (7.8,23.4)
23.50(15.7,35.1)
31.21 (21.1,46.1)
37.43 (25.9,54.1)
51.57 (35.0,76.0)
Gulf of Mexico
5.47(2.3,12.9)
13.29 (7.3,24.4)
24.59(15.2,39.7)
42.50 (29.3,61.7)
59.13 (42.1,83.1)
67.01 (47.1,95.3)
95.98 (65.5,140.6)
Great Lakes
1.59(0.7,3.5)
4.07 (2.2,7.5)
8.65 (5.3,14.2)
17.69(11.9,26.2)
27.18(16.4,45.1)
38.56 (17.7,83.9)
79.58 (15.8,400.6)
Inland Northeast
1.98(0.9,4.2)
6.05 (3.7,9.9)
13.62 (8.7,21.4)
25.06 (14.7,42.8)
33.53 (19.9,56.6)
38.93 (24.1,62.8)
54.57 (33.4,89.2)
Inland Midwest
1.14(0.5,2.4)
2.88(1.4,5.9)
6.09 (3.0,12.5)
11.15 (5.5,22.8)
15.55 (7.5,32.4)
19.63 (10.0,38.5)
27.89 (13.4,58.2)
Inland South
2.12(1.4,3.2)
5.42 (3.9,7.5)
11.44 (8.6,15.2)
20.33 (15.1,27.3)
27.77 (20.3,38.0)
33.55 (23.9,47.1)
49.59 (32.7,75.3)
Inland West
1.85 (0.9,3.8)
4.49 (2.4,8.4)
9.41 (5.4,16.4)
17.99(11.3,28.7)
27.97 (16.8,46.5)
34.96 (19.8,61.7)
57.44 (24.9,132.6)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
29

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Table 8a. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and older, by demographics
Marine Fish



Percentiles(95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
3.93 (2.2,6.9)
9.15(6.2,13.4)
17.36(13.4,22.6)
28.32(22.7,35.4)
36.93 (29.5,46.3)
43.24(33.8,55.3)
59.03 (45.4,76.7)
Gender







Female
3.59(1.9,6.9)
8.44(5.4,13.2)
15.83(11.9,21.0)
26.03 (20.4,33.2)
33.80(26.7,42.7)
39.54(30.8,50.7)
53.12 (40.8,69.1)
Male
4.43 (2.7,7.2)
10.20(7.2,14.4)
19.21(15.0,24.7)
31.36(24.9,39.5)
40.57(31.6,52.1)
47.92 (36.9,62.2)
64.05 (47.7,86.0)
Age







21 to <35 yrs
2.72 (1.2,6.1)
7.26(3.9,13.5)
14.09 (9.9,20.0)
23.75 (18.4,30.6)
32.01 (25.2,40.6)
37.98(29.7,48.5)
52.46(38.2,72.0)
35 to <50 yrs
4.08 (2.7,6.2)
8.98(6.6,12.3)
16.22(12.6,20.8)
25.71(18.8,35.1)
32.97(22.4,48.6)
38.15(24.3,59.9)
49.80(28.9,85.8)
50 to <65 yrs
6.18 (3.1,12.3)
13.10(7.4,23.2)
23.73 (14.7,38.4)
37.49(24.2,58.2)
48.33 (30.8,75.9)
56.36(35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
3.69 (2.3,6.0)
8.43(5.8,12.2)
16.32(12.2,21.8)
26.30(18.6,37.2)
34.06(23.1,50.3)
39.34(25.0,61.9)
51.11(30.3,86.1)
Women of Childbearing Age1
2.30(1.2,4.3)
6.69(4.0,11.2)
13.24(10.0,17.6)
21.96(17.8,27.1)
29.09(23.4,36.2)
34.16(26.6,43.9)
44.94(31.7,63.7)
Income







<$20,000
2.38(1.5,3.9)
6.64 (4.7,9.4)
13.68(10.4,17.9)
23.47(18.4,29.9)
31.73 (24.8,40.5)
37.51(28.5,49.3)
52.93(38.5,72.8)
$20k-$45k
3.28(1.7,6.3)
7.78(4.9,12.3)
14.83 (10.9,20.2)
24.76(19.1,32.2)
33.08(25.3,43.2)
38.41 (29.3,50.3)
51.69(38.4,69.6)
$45k-$75k
3.87 (2.3,6.4)
8.96(6.0,13.4)
16.95(12.4,23.3)
27.66(20.6,37.2)
36.28(27.1,48.5)
43.17(31.7,58.7)
60.72 (44.6,82.7)
$75k+
5.88 (3.3,10.6)
11.61(8.5,15.9)
20.82 (16.4,26.4)
32.66(26.0,41.0)
41.76(32.7,53.4)
48.14(37.0,62.6)
61.76(45.1,84.6)
>$20,000
3.93 (1.9,8.2)
8.83 (4.9,15.9)
16.61(10.1,27.3)
27.18(17.0,43.4)
33.96(21.2,54.3)
41.21(25.6,66.2)
59.38(33.0,106.7)
Inc Ref/DK
4.62 (1.2,17.8)
11.39(4.0,32.7)
21.06(9.5,46.7)
31.40(18.9,52.2)
39.90(26.0,61.2)
43.96(30.4,63.6)
66.21(34.0,129.1)
Inc missing
3.72 (0.8,18.3)
8.51(3.4,21.2)
17.84(7.8,40.5)
29.85 (14.8,60.2)
39.09(20.1,75.9)
46.58(24.6,88.1)
60.92(33.1,112.2)
Race/Ethnicity2







Mexican American
2.95 (1.6,5.6)
8.05 (4.3,15.1)
15.34(9.2,25.5)
24.60(16.6,36.5)
32.61 (22.0,48.3)
37.82(26.9,53.2)
51.54(36.7,72.4)
Other Hispanic
3.35 (1.7,6.5)
7.80(5.0,12.1)
14.71 (10.5,20.6)
23.59(16.7,33.3)
31.29(21.4,45.8)
38.13(26.3,55.4)
49.20(28.2,85.9)
Non-Hispanic White
3.89 (2.3,6.6)
8.96(6.3,12.8)
16.94(13.2,21.8)
27.72(21.6,35.6)
36.21 (27.7,47.3)
42.70(32.2,56.6)
58.28(43.9,77.3)
Non-Hispanic Black
3.99(1.9,8.2)
9.10(5.4,15.3)
17.17(11.7,25.3)
27.88(20.3,38.2)
35.39(27.5,45.5)
40.86(31.8,52.5)
52.99(38.7,72.6)
Other race
7.38 (4.2,13.0)
16.13(9.8,26.7)
27.20(19.8,37.3)
40.91(32.3,51.9)
52.09(39.7,68.3)
62.58(45.3,86.5)
83.12(55.7,124.1)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
30

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Table 8b. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and older, by geography
Marine Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
3.93(2.2,6.9)
9.15 (6.2,13.4)
17.36(13.4,22.6)
28.32 (22.7,35.4)
36.93 (29.5,46.3)
43.24 (33.8,55.3)
59.03 (45.4,76.7)
Region1







Midwest
2.92(1.4,5.9)
6.80 (4.0,11.5)
13.22 (8.6,20.4)
22.25 (15.2,32.7)
29.10 (20.6,41.1)
33.97 (23.7,48.7)
49.65 (34.1,72.3)
Northeast
5.13(3.4,7.8)
12.20 (9.2,16.2)
22.32 (17.4,28.6)
35.79 (27.7,46.2)
44.96 (34.0,59.5)
52.36 (39.4,69.6)
70.86 (53.2,94.5)
South
3.78(2.1,6.8)
8.60 (5.7,12.9)
16.07(12.1,21.3)
26.22 (20.6,33.4)
34.13 (26.5,43.9)
39.92 (29.9,53.3)
54.34 (38.9,75.9)
West
5.35(2.9,9.8)
11.28 (7.5,17.0)
19.94 (15.0,26.6)
32.08 (24.2,42.4)
40.59 (31.2,52.8)
47.22 (36.3,61.4)
60.20 (45.0,80.6)
Coastal Status







Noncoastal
3.72(1.8,7.9)
8.66 (5.1,14.7)
16.51 (11.2,24.4)
27.30 (19.7,37.8)
35.98 (26.3,49.2)
42.54 (31.1,58.2)
58.94 (41.4,84.0)
Coastal
4.30(3.0,6.2)
9.98 (7.5,13.3)
18.64 (14.2,24.5)
29.85 (21.8,40.9)
38.38 (27.0,54.6)
44.17 (29.2,66.7)
59.25 (39.9,88.0)
Coastal/Inland Region2







Pacific
4.84(3.1,7.6)
10.68 (7.7,14.8)
19.09 (14.3,25.5)
30.89 (23.6,40.4)
39.14 (29.2,52.5)
43.79 (29.3,65.4)
54.14 (30.4,96.3)
Atlantic
5.29(3.2,8.7)
11.16 (7.1,17.4)
20.25 (13.2,31.1)
30.95 (18.7,51.2)
39.70 (24.0,65.5)
45.57 (26.6,78.1)
60.79 (36.5,101.3)
Gulf of Mexico
3.32(1.7,6.3)
8.16 (4.1,16.3)
16.51 (9.1,30.0)
27.87 (17.4,44.5)
37.47 (23.0,61.0)
44.21 (27.6,70.9)
60.92 (33.1,112.0)
Great Lakes
2.61(1.3,5.1)
6.73 (3.9,11.7)
13.43 (7.6,23.7)
24.52 (16.1,37.3)
32.64 (20.6,51.8)
39.20 (25.1,61.2)
62.01 (41.3,93.2)
Inland Northeast
4.44(2.5,8.0)
12.31 (7.5,20.3)
22.83 (15.3,34.0)
37.42 (24.8,56.4)
48.31 (31.8,73.4)
56.54 (36.9,86.5)
76.33 (46.9,124.2)
Inland Midwest
2.98(1.2,7.5)
6.81 (3.3,13.9)
13.14 (6.8,25.6)
21.41 (12.0,38.2)
27.96 (16.4,47.7)
33.06 (19.6,55.8)
46.18 (26.1,81.8)
Inland South
3.49(1.5,8.1)
8.01 (4.4,14.5)
14.65 (9.7,22.1)
23.34(17.3,31.4)
31.14 (22.8,42.4)
36.74 (27.2,49.5)
49.10 (34.8,69.2)
Inland West
5.86(2.4,14.3)
11.76 (6.3,21.8)
20.64 (12.4,34.2)
33.58(19.6,57.5)
42.99 (25.2,73.4)
51.78 (28.2,95.2)
64.07 (39.7,103.3)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
31

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Table 9a. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and older, by demographics
Finfish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
4.33 (2.8,6.8)
9.69 (7.2,13.0)
18.01(14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36 (36.2,59.4)
62.16(47.9,80.7)
Gender







Female
3.89 (2.4,6.4)
8.71 (6.5,11.7)
16.36(12.7,21.1)
26.82 (20.8,34.5)
34.68(26.6,45.2)
40.98 (31.3,53.6)
55.53 (42.2,73.1)
Male
5.10(3.3,7.9)
11.11 (8.2,15.0)
20.04(15.5,25.9)
33.90(26.8,42.9)
44.68(35.2,56.7)
51.56 (39.9,66.6)
70.67(55.5,90.1)
Age







21 to <35 yrs
3.13 (1.2,7.9)
7.80 (4.5,13.4)
15.74(10.5,23.6)
27.51(19.6,38.7)
36.73 (27.6,49.0)
45.27 (33.5,61.1)
61.69(46.4,82.1)
35 to <50 yrs
4.21 (3.0,5.8)
9.04 (7.0,11.7)
16.22(12.1,21.8)
26.57(19.6,35.9)
35.48(26.6,47.3)
41.97 (31.2,56.4)
55.74(40.8,76.2)
50 to <65 yrs
7.16 (3.8,13.5)
13.66 (9.1,20.5)
23.96(16.9,34.0)
37.45 (27.0,52.0)
47.14(34.5,64.4)
54.81 (39.8,75.5)
70.19(51.2,96.2)
65+ yrs
4.42 (2.9,6.6)
9.23 (6.1,13.9)
16.68(10.8,25.7)
26.94(17.2,42.2)
34.85(21.6,56.1)
41.21 (25.8,65.9)
54.23(31.7,92.6)
Women of Childbearing Age1
2.30(1.3,3.9)
6.62 (4.7,9.3)
13.39(10.4,17.3)
23.05 (18.0,29.4)
30.80 (24.0,39.6)
37.14 (28.7,48.1)
50.93 (38.7,67.1)
Income







<$20,000
2.80 (1.7,4.7)
7.54 (5.6,10.1)
15.15(11.9,19.3)
26.02 (20.4,33.3)
35.23 (27.4,45.3)
42.94 (33.1,55.7)
59.92 (44.6,80.4)
$20k-$45k
3.80 (2.5,5.9)
8.57 (6.4,11.4)
15.89(11.8,21.4)
26.49(19.5,35.9)
35.55 (26.3,48.0)
42.79 (31.7,57.8)
58.28(42.2,80.5)
$45k-$75k
4.21 (2.7,6.6)
9.39 (6.7,13.2)
17.63(13.0,23.9)
29.83(22.3,39.9)
39.51(29.2,53.4)
46.49 (34.4,62.9)
61.54 (44.7,84.8)
$75k+
5.90 (3.7,9.3)
11.70 (8.7,15.7)
20.69(16.1,26.6)
33.09(25.9,42.3)
42.90(33.5,54.9)
49.34 (38.0,64.0)
64.88(49.1,85.8)
>$20,000
5.17 (2.4,10.9)
11.17 (5.9,21.2)
18.67(11.9,29.3)
31.63(19.4,51.4)
41.56(25.4,68.1)
47.52 (29.7,76.0)
64.77(39.0,107.6)
Inc Ref/DK
4.24(1.2,14.6)
10.05 (4.6,22.1)
18.27(10.3,32.5)
30.90(17.7,53.8)
39.51(23.3,66.9)
45.66 (28.1,74.3)
52.65 (33.0,83.9)
Inc missing
4.42 (0.8,25.9)
11.38 (3.0,43.8)
19.41 (7.6,49.3)
40.63(12.9,127.5)
62.28(15.1,256.3)
71.34 (19.6,259.9)
79.19(33.8,185.7)
Race/Ethnicity2







Mexican American
3.72 (1.6,8.5)
9.22 (5.5,15.3)
17.31(11.8,25.5)
28.40 (20.4,39.6)
37.92 (27.4,52.5)
44.51 (32.4,61.2)
58.73 (41.6,82.9)
Other Hispanic
3.67 (1.9,7.0)
8.02 (5.2,12.3)
15.96(11.1,23.0)
28.46(19.0,42.7)
39.06(24.8,61.5)
48.60 (27.9,84.6)
68.53(35.5,132.3)
Non-Hispanic White
4.16 (2.7,6.5)
9.05 (6.8,12.0)
16.50(12.6,21.6)
27.08(20.7,35.5)
35.37(26.7,46.8)
42.21 (32.0,55.8)
55.55 (40.7,75.8)
Non-Hispanic Black
5.53 (3.1,9.9)
11.77 (8.4,16.5)
21.04(16.2,27.3)
32.72 (24.7,43.3)
42.43(32.2,55.9)
49.08 (36.5,66.0)
63.98(45.5,89.9)
Other race
9.28 (5.1,16.8)
19.45 (12.2,30.9)
33.79(24.1,47.4)
51.47(39.6,66.9)
64.68 (49.3,84.8)
76.63 (57.7,101.8)
101.62 (72.5,142.4)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
32

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Table 9b. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and older, by geography
Finfish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
4.33(2.8,6.8)
9.69 (7.2,13.0)
18.01 (14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36 (36.2,59.4)
62.16 (47.9,80.7)
Region1







Midwest
3.46(1.9,6.4)
7.53 (5.0,11.2)
13.90 (10.0,19.4)
22.52 (15.9,31.8)
29.42 (20.3,42.6)
34.34 (22.8,51.7)
45.94 (29.2,72.3)
Northeast
4.68(2.8,7.8)
10.83 (7.7,15.2)
20.15 (14.9,27.2)
32.43 (24.0,43.7)
42.51 (32.0,56.4)
49.43 (36.7,66.5)
61.50 (42.6,88.7)
South
4.43 (2.9,6.9)
9.82 (7.4,13.0)
18.34(14.6,23.1)
30.77 (24.5,38.6)
41.57(32.9,52.5)
49.09 (38.6,62.4)
68.72 (52.4,90.1)
West
5.50(3.5,8.7)
11.42 (8.3,15.7)
20.56(15.2,27.7)
33.37 (24.9,44.7)
43.13(32.0,58.1)
49.58 (36.7,67.0)
63.78 (46.0,88.5)
Coastal Status







Noncoastal
4.25(2.2,8.4)
9.41 (6.2,14.2)
17.22 (12.6,23.6)
28.30 (20.8,38.5)
37.18(27.2,50.8)
44.49 (31.9,62.1)
59.59 (42.2,84.0)
Coastal
4.46(2.9,6.8)
10.11 (7.1,14.4)
19.35 (14.1,26.6)
32.10 (23.5,43.9)
42.40(31.3,57.4)
49.31 (34.7,70.2)
64.60 (41.5,100.7)
Coastal/Inland Region2







Pacific
4.81(3.1,7.4)
10.46 (7.0,15.5)
19.46(13.5,28.1)
31.64 (22.0,45.5)
41.98(29.8,59.1)
47.91 (32.0,71.7)
61.39 (37.3,101.0)
Atlantic
4.92(2.5,9.8)
10.63 (5.9,19.1)
19.71 (11.5,33.8)
32.33 (20.2,51.6)
41.52 (26.0,66.2)
48.72 (30.7,77.2)
62.38 (37.4,104.2)
Gulf of Mexico
4.15(2.3,7.5)
10.35 (5.6,19.2)
21.27(12.8,35.3)
39.99 (22.2,72.0)
51.16(29.5,88.6)
62.44 (36.5,106.7)
87.20 (53.2,142.8)
Great Lakes
3.28(1.7,6.2)
7.81 (4.7,13.0)
16.14(11.0,23.6)
26.25 (17.0,40.5)
33.30(19.7,56.4)
38.84 (22.1,68.2)
50.24 (24.6,102.6)
Inland Northeast
4.16(1.9,9.3)
10.49 (6.0,18.2)
19.59(12.3,31.3)
31.54 (20.1,49.6)
42.49(25.6,70.6)
49.34 (30.1,80.8)
64.36 (39.1,105.9)
Inland Midwest
3.51(1.6,7.8)
7.46 (4.4,12.5)
13.37 (9.1,19.7)
21.42 (15.1,30.4)
27.66(19.5,39.3)
32.61 (22.7,46.9)
44.71 (31.2,64.1)
Inland South
4.36(2.1,9.2)
9.65 (6.3,14.8)
17.43 (13.2,23.0)
28.90 (22.0,37.9)
38.14(29.2,49.9)
45.41 (34.1,60.5)
62.91 (43.9,90.0)
Inland West
6.37(2.7,14.8)
12.46 (7.0,22.0)
21.80(12.8,37.1)
35.00 (19.9,61.5)
45.08(26.0,78.3)
51.03 (31.2,83.6)
66.40 (40.9,107.8)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
33

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Table 10a. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and older, by demographics
Shellfish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
1.03 (0.5,2.2)
3.01 (1.7,5.4)
7.56(4.6,12.5)
15.99(10.6,24.2)
24.18(16.9,34.5)
30.09(20.8,43.5)
45.50(31.9,64.9)
Gender







Female
0.87(0.4,1.8)
2.54 (1.4,4.5)
6.29(3.8,10.3)
13.21(8.8,19.8)
19.65(13.7,28.2)
24.33(16.8,35.3)
36.72(25.6,52.7)
Male
1.36(0.7,2.8)
3.77 (2.0,7.2)
9.34(5.5,16.0)
19.96(13.3,29.9)
29.28(20.3,42.3)
37.02(26.2,52.3)
52.89(36.0,77.7)
Age







21 to <35 yrs
0.91 (0.5,1.6)
2.79 (1.8,4.4)
7.07(4.9,10.3)
15.25(10.9,21.3)
23.19(16.4,32.9)
29.32 (20.8,41.4)
45.67(31.2,66.8)
35 to <50 yrs
1.22 (0.6,2.5)
3.42 (1.9,6.0)
8.29(4.9,13.9)
17.39(10.9,27.8)
26.33(16.6,41.9)
33.10(20.2,54.1)
49.86(29.3,84.8)
50 to <65 yrs
1.39(0.5,3.7)
3.70(1.7,8.3)
8.81 (4.6,16.8)
17.69(10.5,29.9)
25.40(15.8,40.8)
30.66(18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
0.65 (0.2,1.9)
1.92 (0.8,4.7)
5.03(2.1,11.8)
11.56(5.8,23.1)
18.25 (10.4,32.0)
23.74(14.2,39.7)
37.46(25.3,55.4)
Women of Childbearing Age1
0.69(0.4,1.3)
2.24(1.4,3.7)
5.85(3.8,8.9)
12.53(8.6,18.4)
18.66(12.8,27.1)
24.02 (16.8,34.4)
37.23(25.2,55.0)
Income







<$20,000
0.65 (0.3,1.6)
2.05 (1.0,4.1)
5.52(3.2,9.6)
12.05(7.6,19.1)
18.57(12.1,28.4)
23.88(15.7,36.2)
39.56(26.9,58.2)
$20k-$45k
0.88(0.5,1.6)
2.50(1.5,4.1)
6.28(4.2,9.5)
13.81(9.1,21.0)
20.43 (13.7,30.6)
25.21(17.8,35.7)
38.84(27.4,55.1)
$45k-$75k
1.01 (0.4,2.6)
2.93 (1.4,6.0)
7.38(4.1,13.2)
15.80(9.8,25.5)
23.53(14.9,37.1)
29.00(18.1,46.5)
43.18(27.6,67.6)
$75k+
1.54(0.6,3.8)
4.08 (1.9,8.9)
9.44 (4.5,20.0)
19.69(11.6,33.4)
28.64(18.0,45.5)
35.29(22.1,56.2)
50.60(31.8,80.5)
>$20,000
1.03 (0.4,2.8)
2.87(1.2,6.8)
6.98(3.4,14.4)
13.18(6.2,28.2)
20.43(10.1,41.1)
24.30(11.7,50.3)
37.71(18.8,75.6)
Inc Ref/DK
1.73 (0.9,3.4)
5.13 (2.7,9.6)
12.28(6.9,22.0)
26.56(12.8,55.0)
39.43 (16.8,92.7)
55.89(16.4,191.0)
68.50(29.3,160.0)
Inc missing
1.03 (0.3,3.8)
2.90 (0.9,9.6)
7.13(2.3,22.1)
17.46 (6.4,47.9)
22.57(9.7,52.7)
24.73 (10.4,58.9)
37.44(18.0,77.8)
Race/Ethnicity2







Mexican American
1.34(0.7,2.6)
3.54(1.9,6.6)
9.04(5.7,14.4)
18.09(11.6,28.2)
25.25(15.3,41.8)
31.69(19.0,52.9)
46.21 (24.4,87.7)
Other Hispanic
1.21(0.6,2.4)
3.87 (2.1,7.0)
9.72 (5.4,17.4)
21.39(11.5,39.8)
31.76(17.2,58.5)
38.12(20.4,71.1)
59.42(31.9,110.8)
Non-Hispanic White
0.95 (0.4,2.3)
2.75 (1.3,5.7)
6.96(3.7,13.2)
14.74(8.4,25.7)
22.25(13.7,36.1)
28.42 (18.1,44.6)
41.99(26.7,65.9)
Non-Hispanic Black
1.02 (0.5,2.0)
2.83 (1.7,4.7)
6.61 (4.4,9.8)
13.07(9.2,18.6)
18.57(13.0,26.5)
22.97(16.0,32.9)
34.03 (22.9,50.6)
Other race
2.20(1.1,4.4)
6.86 (2.9,16.3)
15.49(7.5,32.1)
29.57(14.9,58.7)
41.83(21.9,79.9)
49.50(28.0,87.5)
76.70(36.5,161.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
34

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Table 10b. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and older, by geography
Shellfish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
1.03 (0.5,2.2)
3.01(1.7,5.4)
7.56 (4.6,12.5)
15.99 (10.6,24.2)
24.18 (16.9,34.5)
30.09(20.8,43.5)
45.50 (31.9,64.9)
Region1







Midwest
0.57 (0.2,1.4)
1.52 (0.6,3.8)
3.66(1.6,8.5)
7.49 (3.4,16.4)
11.35 (5.5,23.3)
14.04(6.3,31.4)
25.98(15.7,43.1)
Northeast
1.82 (0.7,4.9)
5.45(2.7,11.2)
12.83 (7.2,22.9)
25.65 (16.8,39.1)
36.22 (24.0,54.6)
44.19(28.8,67.9)
63.65 (40.2,100.8)
South
1.33 (0.7,2.5)
3.60(2.1,6.1)
8.52 (5.3,13.6)
17.16(10.8,27.3)
24.78 (15.9,38.6)
30.72 (20.3,46.6)
45.31 (31.0,66.3)
West
1.23 (0.5,3.0)
3.41(1.6,7.1)
7.95 (4.2,15.1)
16.30 (9.9,26.9)
23.45 (14.7,37.4)
28.40(17.5,46.2)
42.01 (26.4,66.8)
Coastal Status







Noncoastal
0.83 (0.4,1.8)
2.37(1.2,4.7)
5.98 (3.3,10.9)
12.94 (7.7,21.7)
20.22 (12.9,31.8)
26.12(16.5,41.4)
41.57 (26.3,65.7)
Coastal
1.58 (0.8,3.3)
4.43 (2.4,8.1)
10.22 (6.0,17.5)
20.19(12.8,31.8)
28.47 (18.7,43.3)
34.86(23.2,52.3)
49.89 (34.5,72.2)
Coastal/Inland Region2







Pacific
1.48 (0.6,3.4)
3.96(1.9,8.3)
9.08 (4.7,17.6)
17.25 (9.3,32.2)
24.42 (13.5,44.0)
29.20(16.1,52.9)
40.71 (21.5,77.0)
Atlantic
1.95 (0.7,5.1)
5.13(2.3,11.6)
11.11 (5.2,23.7)
20.78 (10.7,40.2)
28.22 (14.8,53.7)
33.96(18.0,63.9)
48.79 (29.0,82.2)
Gulf of Mexico
3.21 (1.1,9.1)
7.88(3.3,18.9)
17.27 (8.0,37.1)
29.60 (16.1,54.5)
41.15 (22.9,74.0)
49.27(29.2,83.1)
73.41 (40.7,132.5)
Great Lakes
0.69 (0.2,2.6)
1.94(0.6,5.9)
4.85 (2.1,10.9)
10.10 (5.1,20.1)
15.90 (8.9,28.5)
25.98(14.0,48.4)
44.34 (20.0,98.2)
Inland Northeast
1.66 (0.5,5.1)
5.45(2.6,11.5)
13.83 (8.0,24.0)
28.96 (17.3,48.6)
39.50 (23.7,65.9)
49.86(29.3,84.8)
78.07 (38.7,157.4)
Inland Midwest
0.54 (0.2,1.2)
1.45 (0.6,3.3)
3.42 (1.5,7.7)
7.03 (3.3,14.9)
10.18 (4.7,22.1)
12.79(5.8,28.1)
20.01 (9.5,42.3)
Inland South
0.98 (0.5,1.9)
2.63(1.5,4.5)
5.93 (3.9,9.1)
11.75 (7.5,18.4)
16.33 (11.1,24.1)
20.87(13.5,32.3)
31.29 (19.6,49.9)
Inland West
1.02 (0.3,3.5)
2.75 (0.9,8.4)
6.93 (3.1,15.8)
14.83 (7.9,27.7)
22.16(12.9,38.0)
26.55 (14.6,48.4)
42.31 (25.8,69.3)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
35

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Table 11a. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21 years and older, by demographics
Trophic Level 2 Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.4)
2.40(1.6,3.6)
5.69 (4.0,8.0)
11.56 (8.3,16.2)
16.51(11.1,24.5)
20.87(13.8,31.6)
31.79 (20.1,50.4)
Gender







Female
0.74 (0.4,1.3)
2.07(1.3,3.2)
4.84 (3.4,6.9)
9.64 (6.9,13.4)
13.95(9.9,19.6)
17.21 (11.8,25.1)
25.63 (16.2,40.5)
Male
1.07 (0.6,1.8)
2.95(1.9,4.5)
6.96 (4.7,10.3)
13.81 (9.2,20.7)
19.84(12.7,30.9)
24.76(15.5,39.5)
36.83 (21.9,61.9)
Age







21 to <35 yrs
0.74 (0.4,1.5)
2.11(1.3,3.5)
5.06 (3.5,7.3)
10.29 (7.3,14.5)
14.36(10.0,20.7)
17.93 (11.9,27.1)
27.79 (17.8,43.4)
35 to <50 yrs
0.99 (0.5,1.9)
2.65 (1.6,4.4)
6.11 (4.0,9.2)
12.58 (7.9,20.0)
18.43 (10.8,31.6)
23.72 (13.6,41.5)
40.70 (24.5,67.7)
50 to <65 yrs
1.18 (0.7,2.1)
2.95(1.8,4.9)
6.49 (4.1,10.3)
12.15 (7.7,19.3)
16.60(9.7,28.4)
20.51 (11.9,35.4)
28.99 (15.4,54.7)
65+ yrs
0.58 (0.2,1.3)
1.72 (0.9,3.3)
4.76 (3.0,7.4)
10.73 (7.5,15.3)
16.36(11.4,23.5)
20.25 (13.9,29.6)
28.91 (19.0,43.9)
Women of Childbearing Age1
0.56 (0.3,1.2)
1.69(1.0,2.9)
4.28 (2.9,6.4)
8.87 (6.3,12.4)
13.18(9.3,18.7)
16.53 (11.2,24.5)
25.53 (15.9,41.1)
Income







<$20,000
0.58 (0.3,1.1)
1.75(1.1,2.9)
4.21 (2.6,6.9)
8.89 (5.7,14.0)
13.35(8.3,21.4)
16.96(10.1,28.5)
28.02 (18.4,42.6)
$20k-$45k
0.79 (0.4,1.4)
2.22(1.3,3.7)
5.32 (3.6,7.9)
10.95 (7.7,15.6)
15.94(11.4,22.3)
20.52 (14.6,28.9)
30.26 (20.5,44.7)
$45k-$75k
0.86 (0.5,1.6)
2.42(1.4,4.1)
5.73 (3.6,9.1)
11.21 (7.3,17.3)
16.05 (10.2,25.4)
19.88(12.2,32.5)
30.88 (18.7,51.0)
$75k+
1.10 (0.6,1.9)
2.82(1.7,4.6)
6.53 (4.0,10.6)
12.94 (8.0,21.0)
18.22(10.3,32.3)
22.88(12.6,41.5)
35.24 (20.1,61.8)
>$20,000
0.93 (0.4,2.1)
2.58(1.3,5.3)
5.59 (2.8,11.0)
11.34 (5.7,22.7)
17.15(8.5,34.7)
21.99 (10.1,48.0)
31.47 (14.9,66.6)
Inc Ref/DK
1.34 (0.5,3.7)
3.83(1.5,9.8)
8.74 (4.0,19.1)
15.37 (8.5,27.9)
20.83(11.6,37.5)
22.15 (9.9,49.4)
28.50 (9.4,86.6)
Inc missing
0.75 (0.1,7.3)
2.32 (0.3,16.6)
5.42 (1.1,27.5)
8.57 (2.8,25.8)
14.07(3.9,50.7)
17.52 (5.1,60.3)
31.15 (6.4,151.5)
Race/Ethnicity2







Mexican American
1.32 (0.7,2.4)
3.53(2.2,5.6)
7.78 (5.1,11.9)
15.01 (9.6,23.5)
21.32(12.9,35.3)
26.65 (15.6,45.4)
40.14 (22.3,72.2)
Other Hispanic
1.04 (0.5,2.4)
3.16(1.7,5.7)
7.78 (4.7,12.9)
17.45 (9.8,31.0)
25.76(14.5,45.8)
33.70 (18.7,60.8)
47.87 (26.0,88.2)
Non-Hispanic White
0.77 (0.5,1.3)
2.10(1.4,3.2)
4.96 (3.3,7.5)
10.20 (6.7,15.4)
14.87(9.5,23.3)
18.19(10.6,31.2)
26.70 (13.9,51.4)
Non-Hispanic Black
1.01 (0.6,1.7)
2.70(1.8,4.1)
6.07 (4.3,8.5)
10.94 (7.6,15.7)
14.75 (9.2,23.7)
18.20(11.2,29.5)
26.03 (14.8,45.7)
Other race
1.59 (0.6,4.2)
4.21(1.8,9.7)
9.68 (4.5,20.6)
17.95 (10.2,31.5)
27.23 (14.8,50.0)
36.64 (18.2,73.7)
57.07 (26.7,122.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
36

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Table lib. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21 years and older, by geography
Trophic Level 2 Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.4)
2.40(1.6,3.6)
5.69 (4.0,8.0)
11.56 (8.3,16.2)
16.51 (11.1,24.5)
20.87(13.8,31.6)
31.79 (20.1,50.4)
Region1







Midwest
0.46 (0.2,0.9)
1.18(0.6,2.2)
2.67(1.4,5.2)
5.24 (2.5,11.1)
7.69 (3.5,17.1)
9.80(4.3,22.3)
16.74 (8.2,34.1)
Northeast
1.55 (0.9,2.7)
4.00(2.6,6.1)
9.29 (6.4,13.5)
16.85 (10.8,26.3)
23.80 (14.4,39.3)
30.18(18.3,49.8)
45.42 (26.1,79.1)
South
1.24 (0.5,2.9)
3.11(1.7,5.7)
6.66 (4.4,10.1)
12.32 (8.4,18.0)
17.42 (11.7,25.9)
21.29(13.7,33.1)
30.46 (17.6,52.9)
West
0.92 (0.5,1.6)
2.52(1.5,4.1)
5.98 (3.9,9.3)
11.63 (7.6,17.9)
16.00 (10.1,25.3)
20.16(12.8,31.9)
29.52 (18.4,47.5)
Coastal Status







Noncoastal
0.71 (0.4,1.2)
1.94(1.3,2.9)
4.60 (3.1,6.8)
9.75 (6.7,14.3)
14.62 (9.4,22.7)
18.88(11.9,30.0)
30.44 (18.3,50.5)
Coastal
1.28 (0.7,2.4)
3.32(2.0,5.5)
7.42 (4.8,11.5)
13.66 (8.8,21.2)
18.65 (11.2,31.0)
23.08(13.8,38.5)
33.89 (20.4,56.3)
Coastal/Inland Region2







Pacific
1.34 (0.6,3.2)
3.27(1.7,6.4)
7.20 (4.1,12.6)
12.73 (8.0,20.2)
17.05 (10.5,27.7)
20.42 (12.1,34.4)
29.10(16.4,51.8)
Atlantic
1.49 (0.7,3.1)
3.55(1.7,7.2)
7.31 (3.3,16.0)
13.19 (5.8,30.0)
17.58 (7.0,44.3)
21.29(8.2,55.3)
28.51 (9.6,84.6)
Gulf of Mexico
2.72 (0.8,9.1)
6.37(2.5,16.2)
12.19 (6.5,22.8)
20.53 (12.9,32.6)
27.79 (18.0,42.9)
35.13(22.5,55.0)
53.49 (31.8,89.9)
Great Lakes
0.51 (0.2,1.5)
1.35 (0.5,3.7)
3.39(1.6,7.3)
6.92 (3.3,14.5)
11.08 (5.9,20.7)
15.76(8.6,28.7)
40.29 (8.8,184.6)
Inland Northeast
1.46 (0.8,2.8)
4.22(2.3,7.8)
10.42 (5.3,20.6)
19.99 (10.4,38.6)
28.50 (14.8,54.8)
36.43(18.1,73.5)
51.65 (25.8,103.5)
Inland Midwest
0.45 (0.2,0.8)
1.14(0.6,2.1)
2.56(1.3,4.9)
4.83 (2.3,10.1)
6.97 (3.1,15.6)
8.58(3.6,20.4)
13.55 (5.7,32.2)
Inland South
1.00 (0.4,2.6)
2.52(1.2,5.2)
5.25 (3.3,8.3)
9.71 (6.8,13.9)
13.75 (9.6,19.7)
17.00(11.7,24.6)
24.23 (15.4,38.1)
Inland West
0.70 (0.4,1.4)
1.83(1.0,3.4)
4.42 (2.5,7.7)
10.14 (6.2,16.6)
14.59 (8.5,25.1)
18.88(10.9,32.7)
29.52 (17.6,49.5)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
37

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Table 12a. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21 years and older, by demographics
Trophic Level 3 Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
2.21 (1.3,3.8)
5.02(3.5,7.2)
9.82(7.5,12.9)
17.02(13.1,22.0)
22.69(17.4,29.6)
26.67 (20.1,35.3)
37.12 (27.0,51.1)
Gender







Female
1.89(1.1,3.4)
4.29(2.9,6.3)
8.26(6.2,11.0)
14.27(10.9,18.7)
19.65 (14.9,25.9)
23.04 (17.3,30.7)
30.29 (21.1,43.5)
Male
2.79 (1.6,4.7)
6.16(4.3,8.9)
11.84(8.9,15.7)
19.58(15.0,25.5)
26.16(20.0,34.3)
31.43 (23.6,41.9)
43.53 (31.2,60.8)
Age







21 to <35 yrs
1.83 (0.8,4.2)
4.43 (2.5,7.9)
9.11(5.9,14.1)
16.46(11.3,24.0)
23.04(16.0,33.3)
27.79 (20.0,38.6)
39.30 (27.5,56.1)
35 to <50 yrs
2.12 (1.4,3.3)
4.78(3.4,6.8)
8.99(6.0,13.4)
15.83(11.1,22.7)
20.81(13.8,31.4)
25.07 (16.8,37.5)
34.07 (22.2,52.2)
50 to <65 yrs
3.37(1.8,6.2)
7.01 (4.3,11.3)
12.62 (8.6,18.4)
20.10(14.1,28.6)
25.43(18.4,35.2)
29.52 (21.2,41.2)
39.79 (26.6,59.5)
65+ yrs
1.94(1.1,3.4)
4.27(2.8,6.4)
8.35(6.0,11.7)
14.07(9.5,20.8)
18.81(12.1,29.2)
23.03 (15.3,34.7)
31.34(19.5,50.3)
Women of Childbearing Age1
1.19 (0.7,2.0)
3.36(2.3,5.0)
6.95(5.2,9.3)
12.62(9.6,16.6)
17.94(13.7,23.5)
21.72 (16.5,28.7)
29.33 (20.7,41.5)
Income







<$20,000
1.69(1.1,2.7)
4.37(3.1,6.2)
9.28(7.0,12.4)
16.75(12.7,22.1)
22.84(17.0,30.7)
26.79 (18.8,38.2)
36.93 (23.5,58.1)
$20k-$45k
1.89(1.0,3.5)
4.39(2.8,6.8)
8.59(6.3,11.8)
14.88(11.2,19.8)
19.71(14.6,26.5)
23.39(17.0,32.2)
34.42 (24.0,49.4)
$45k-$75k
2.24(1.2,4.2)
5.15(3.1,8.4)
10.25(6.9,15.2)
17.45 (12.7,24.0)
23.10(17.1,31.2)
27.18 (20.2,36.5)
37.20 (26.6,52.0)
$75k+
2.70 (1.7,4.2)
5.62 (4.0,7.8)
10.49(7.7,14.4)
17.85 (13.3,24.0)
23.51(17.3,31.9)
27.40 (19.5,38.4)
38.12 (26.7,54.4)
>$20,000
2.72 (0.9,8.1)
5.58(2.5,12.6)
10.12(5.5,18.6)
16.06(9.4,27.4)
20.92 (12.4,35.4)
25.37 (14.5,44.5)
33.62 (18.1,62.4)
Inc Ref/DK
2.72 (0.8,9.4)
6.68(2.5,17.7)
13.40(5.8,30.8)
22.93 (10.3,50.9)
27.60(15.3,49.9)
30.12 (18.1,50.2)
36.66 (21.2,63.5)
Inc missing
2.89 (0.5,15.2)
6.52(1.8,23.3)
11.76(4.6,29.8)
22.02(8.8,55.1)
29.34(12.5,69.1)
41.68(12.1,143.3)
69.77 (12.5,389.9)
Race/Ethnicity2







Mexican American
2.28(1.3,4.1)
5.72 (3.4,9.6)
10.97(7.2,16.6)
18.15(12.5,26.4)
24.28(16.6,35.6)
28.14 (19.4,40.9)
37.76 (24.4,58.5)
Other Hispanic
2.07 (0.9,4.7)
4.85 (2.7,8.6)
9.37(5.9,14.8)
15.63 (10.2,24.0)
20.56(13.3,31.8)
24.58(15.7,38.5)
36.12 (21.8,59.8)
Non-Hispanic White
2.00(1.1,3.5)
4.43 (3.1,6.4)
8.39(6.3,11.3)
14.35(10.8,19.1)
18.95(13.9,25.9)
22.41 (16.0,31.5)
30.02 (19.8,45.6)
Non-Hispanic Black
3.14(1.9,5.1)
6.79(4.7,9.8)
12.07(9.4,15.5)
19.04(14.4,25.1)
24.13(17.3,33.7)
28.36 (19.9,40.4)
36.54 (23.5,56.8)
Other race
6.37 (2.7,14.9)
13.28(6.5,27.0)
23.44(12.7,43.3)
32.88(23.2,46.6)
40.42 (28.7,56.9)
45.90 (30.5,69.0)
61.43 (36.3,104.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
38

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Table 12b. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21 years and older, by geography
Trophic Level 3 Fish
Adults >21 years old




Percentiles(95% CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
2.21
(1.3,3.8)
5.02(3.5,7.2)
9.82 (7.5,12.9)
17.02(13.1,22.0)
22.69 (17.4,29.6)
26.67 (20.1,35.3)
37.12(27.0,51.1)
Region1








Midwest
1.55
(0.7,3.3)
3.35(2.0,5.7)
6.27 (4.3,9.1)
10.74(7.6,15.2)
14.07 (9.9,19.9)
16.94 (11.8,24.2)
24.63 (16.6,36.5)
Northeast
2.44
(1.5,4.0)
5.90(4.0,8.6)
11.65 (8.3,16.3)
19.33(13.9,26.9)
24.83 (18.0,34.3)
29.33 (20.6,41.8)
37.92(25.5,56.3)
South
2.66
(1.5,4.7)
5.88(3.9,8.8)
11.04 (8.2,14.9)
18.20(13.8,23.9)
23.72 (17.8,31.6)
27.66 (19.9,38.4)
37.85 (26.3,54.5)
West
2.64
(1.6,4.4)
5.63 (3.8,8.4)
10.83 (7.6,15.4)
19.16(13.3,27.6)
25.51 (17.7,36.7)
30.24 (21.4,42.8)
41.95(28.2,62.5)
Coastal Status








Noncoastal
1.96
(1.1,3.6)
4.55(2.8,7.3)
8.97 (6.2,12.9)
15.56(11.0,22.0)
20.67 (14.8,28.8)
24.60 (17.6,34.3)
33.97(23.4,49.4)
Coastal
2.70
(1.8,4.1)
5.86(4.1,8.3)
11.17 (8.0,15.6)
19.04(13.9,26.0)
25.37 (18.6,34.7)
29.79 (20.9,42.5)
40.94 (27.5,60.9)
Coastal/Inland Region2








Pacific
2.35
(1.4,4.0)
5.12(3.1,8.4)
9.73 (5.7,16.5)
18.49(12.5,27.4)
25.82 (17.7,37.6)
30.79 (20.8,45.6)
43.67(27.1,70.3)
Atlantic
3.14
(1.8,5.5)
6.51(3.9,10.8)
11.72 (7.0,19.6)
18.87(11.3,31.5)
24.52 (14.7,41.0)
28.52 (16.5,49.3)
39.36(24.6,62.9)
Gulf of Mexico
4.02
(1.8,9.1)
8.79(5.1,15.2)
16.11 (10.8,23.9)
24.16(16.5,35.3)
29.80 (18.1,49.2)
34.07 (18.8,61.8)
47.32 (24.9,89.8)
Great Lakes
1.90
(1.1,3.3)
4.12(2.7,6.3)
7.82 (5.2,11.7)
13.36(9.1,19.6)
17.73 (11.8,26.5)
21.67(14.5,32.4)
30.62 (19.4,48.4)
Inland Northeast
1.90
(1.0,3.7)
5.09(2.9,8.8)
10.79 (6.6,17.6)
18.60(11.3,30.7)
23.55 (15.2,36.6)
27.77 (17.8,43.2)
36.80(23.2,58.4)
Inland Midwest
1.47
(0.6,3.6)
3.18(1.6,6.3)
5.86 (3.6,9.5)
10.03 (6.4,15.7)
12.96 (8.8,19.2)
15.52 (10.4,23.1)
20.92(13.3,32.9)
Inland South
2.28
(1.2,4.3)
5.32(3.1,9.1)
9.91 (6.6,14.8)
16.58(11.3,24.2)
21.65 (15.0,31.2)
25.13 (17.8,35.5)
33.97(23.1,49.9)
Inland West
3.03
(1.3,7.0)
6.26(3.3,11.9)
11.90 (6.6,21.5)
19.51(11.4,33.4)
25.07(15.2,41.3)
29.34 (18.2,47.4)
39.19(24.2,63.6)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
39

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Table 13a. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21 years and older, by demographics
Trophic Level 4 Fish	Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
2.69(1.6,4.5)
6.08 (4.4,8.4)
11.63(8.7,15.6)
19.63 (14.5,26.6)
26.23 (19.2,35.9)
31.73 (23.5,42.9)
43.40(31.4,60.1)
Gender







Female
2.42 (1.4,4.1)
5.62 (4.1,7.7)
10.70(8.1,14.1)
18.01(13.5,24.1)
23.95 (17.6,32.6)
28.46 (20.5,39.5)
38.42 (26.7,55.4)
Male
3.08 (1.9,5.0)
6.82 (4.8,9.7)
12.87(9.3,17.9)
21.74(15.7,30.1)
29.35 (21.7,39.6)
35.30 (26.3,47.5)
48.37(35.2,66.5)
Age







21 to <35 yrs
1.77 (0.8,4.0)
4.64(2.8,7.8)
9.56(6.8,13.4)
16.73(12.2,22.9)
22.95 (16.3,32.4)
28.02 (19.7,39.9)
39.63(26.6,59.1)
35 to <50 yrs
2.61 (1.7,3.9)
5.74(4.2,7.9)
10.61 (7.7,14.6)
17.67(12.7,24.6)
23.41 (16.6,32.9)
27.63 (19.1,39.9)
37.01 (24.2,56.6)
50 to <65 yrs
4.47 (2.5,8.0)
8.87(6.0,13.1)
16.09(11.6,22.3)
26.03 (18.6,36.4)
34.47 (24.1,49.2)
40.32 (28.3,57.5)
56.32 (36.7,86.3)
65+ yrs
2.98 (1.8,4.9)
6.18(3.8,10.1)
11.23(6.7,18.9)
17.96(9.9,32.5)
23.89 (13.5,42.4)
27.89 (14.8,52.5)
38.31 (20.9,70.3)
Women of Childbearing Age1
1.45 (0.8,2.6)
4.20(2.9,6.2)
8.71(6.7,11.4)
15.23(11.5,20.1)
20.45 (15.1,27.7)
24.65 (18.0,33.8)
34.24(24.2,48.5)
Income







<$20,000
1.64 (0.9,3.0)
4.64(3.1,6.9)
9.11(6.8,12.2)
16.59(12.5,22.0)
23.30(17.1,31.8)
28.73 (20.4,40.5)
40.04(27.5,58.3)
$20k-$45k
2.28(1.4,3.8)
5.18(3.6,7.5)
9.99(6.9,14.4)
16.71(11.0,25.4)
22.41 (14.2,35.5)
27.32 (17.5,42.6)
38.85 (25.4,59.5)
$45k-$75k
2.52 (1.6,4.1)
5.70(3.8,8.5)
11.14(7.7,16.2)
19.18(13.4,27.5)
25.60 (17.6,37.2)
30.66 (21.4,44.0)
41.07(27.1,62.3)
$75k+
3.83 (2.4,6.0)
7.91(5.7,10.9)
14.26(10.7,19.0)
22.95(17.0,31.0)
29.83 (21.8,40.8)
35.16 (25.4,48.6)
46.33 (31.4,68.3)
>$20,000
2.96(1.5,5.9)
6.56(3.9,11.1)
11.94(7.5,19.0)
19.89(12.5,31.7)
29.27(15.8,54.2)
36.32 (18.1,73.0)
45.96(25.4,83.0)
Inc Ref/DK
2.85 (0.8,9.9)
6.99(2.8,17.4)
12.35(6.9,22.1)
19.02(12.3,29.5)
24.89 (15.7,39.6)
29.29 (18.3,46.8)
40.91 (23.0,72.7)
Inc missing
3.06 (0.4,21.1)
7.48(2.0,28.6)
15.70(5.1,48.3)
26.67(10.5,67.7)
39.22 (14.8,104.1)
46.62 (18.1,119.8)
55.32(27.3,112.1)
Race/Ethnicity2







Mexican American
1.97 (0.9,4.2)
5.19(2.9,9.2)
10.02(6.5,15.3)
16.76(11.8,23.9)
22.56(16.2,31.5)
27.40 (19.4,38.7)
37.40(25.0,55.9)
Other Hispanic
2.14(1.1,4.3)
5.17(3.1,8.6)
10.39(6.6,16.4)
17.90(11.9,26.9)
24.93 (16.2,38.3)
28.71 (19.2,43.0)
41.70(27.4,63.6)
Non-Hispanic White
2.69 (1.7,4.4)
6.00 (4.3,8.4)
11.41(8.2,15.9)
19.18(13.5,27.3)
25.50 (17.8,36.6)
30.90 (22.1,43.2)
41.54(28.7,60.2)
Non-Hispanic Black
2.74 (1.4,5.4)
6.20(4.1,9.3)
11.74(8.6,16.0)
19.38(14.4,26.1)
26.00 (19.3,35.0)
31.26 (23.3,41.9)
42.03 (30.6,57.8)
Other race
4.90 (2.9,8.2)
10.34(7.0,15.4)
18.35(13.3,25.3)
28.73 (20.5,40.3)
38.34 (27.1,54.2)
47.20 (33.9,65.7)
62.93 (41.8,94.8)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
40

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Table 13b. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21 years and older, by geography
Trophic Level 4 Fish
Adults >21 years old



Percentiles(95% CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
2.69(1.6,4.5)
6.08 (4.4,8.4)
11.63 (8.7,15.6)
19.63
(14.5,26.6)
26.23 (19.2,35.9)
31.73 (23.5,42.9)
43.40(31.4,60.1)
Region1








Midwest
2.16(1.2,4.0)
4.88 (3.1,7.7)
9.64 (6.4,14.5)
1 A 1 9
16.11
(10.4,24.9)
21.45 (13.5,34.2)
25.88(16.3,41.1)
37.87(25.8,55.6)
Northeast
3.04(1.8,5.2)
7.36 (5.1,10.7)
J.H-. J.Z
(10.0,19.8)
23.38
(16.7,32.7)
30.50 (21.5,43.4)
35.31 (24.3,51.3)
46.24(29.8,71.7)
South
2.52 (1.5,4.2)
5.76 (4.1,8.1)
10.91 (8.3,14.3)
19.04
(14.6,24.8)
25.85 (19.6,34.1)
32.13 (24.0,43.0)
46.62 (33.2,65.4)
West
3.56 (2.1,6.1)
7.39 (5.2,10.4)
13.25 (9.6,18.2)
21.39
(15.2,30.0)
27.43 (18.8,40.1)
32.29 (21.8,47.9)
42.71 (27.7,65.9)
Coastal Status








Noncoastal
2.72 (1.4,5.4)
6.10 (4.1,9.1)
11.44 (8.4,15.6)
19.13
(14.1,25.9)
24.99 (18.0,34.6)
30.21 (21.9,41.7)
40.58(28.4,57.9)
Coastal
2.66(1.7,4.2)
6.05 (3.9,9.4)
12.01 (7.9,18.1)
20.67
(13.7,31.1)
28.09 (19.1,41.4)
34.18 (23.9,48.9)
47.20(32.8,67.9)
Coastal/Inland Region2








Pacific
2.99(1.8,5.1)
6.51 (4.1,10.3)
11.93 (7.6,18.7)
19.17
(11.6,31.8)
25.40 (15.8,40.7)
29.54 (17.7,49.2)
38.63 (22.3,66.8)
Atlantic
2.91 (1.4,6.1)
6.53 (3.5,12.0)
12.78 (7.5,21.7)
20.93
(11.9,36.7)
28.04 (16.7,47.0)
33.54 (20.4,55.1)
45.05 (27.6,73.6)
Gulf of Mexico
2.13 (1.0,4.4)
5.07 (3.0,8.6)
11.72 (6.9,19.9)
26.29
(12.1,57.0)
38.78 (17.2,87.3)
49.62 (22.8,108.1)
69.59(35.2,137.8)
Great Lakes
1.91 (1.0,3.8)
4.56 (2.3,8.9)
10.03 (5.6,17.9)
18.66
(11.2,30.9)
26.34 (16.8,41.4)
33.10 (22.4,48.9)
44.20(29.3,66.6)
Inland Northeast
2.85 (1.3,6.2)
7.42 (4.3,12.7)
14.49 (9.1,23.1)
23.82
(15.2,37.4)
30.73 (19.6,48.2)
35.34 (23.0,54.4)
44.41 (27.3,72.2)
Inland Midwest
2.26(1.1,4.8)
4.93 (3.0,8.1)
9.51 (6.2,14.5)
15.39
(10.2,23.2)
20.20(13.1,31.2)
24.30 (15.8,37.3)
33.77(22.1,51.5)
Inland South
2.55 (1.1,5.8)
5.79 (3.5,9.7)
10.43 (7.7,14.2)
17.23
(13.1,22.7)
22.87(17.3,30.3)
27.11 (20.2,36.4)
37.64(27.0,52.5)
Inland West
4.25 (1.8,10.0)
8.39 (5.0,14.1)
14.70 (9.6,22.6)
22.98
(15.3,34.5)
29.70 (19.7,44.7)
35.24 (23.0,53.9)
47.41 (30.2,74.4)
!US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
41

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Table 14a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 2 Fish, Adults, 21 years and older, by demographics
Trophic Level 2 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.59 (0.3,1.1)
1.66 (1.0,2.7)
4.07 (2.9,5.8)
8.23 (6.1,11.1)
12.08 (8.8,16.6)
15.25 (10.9,21.4)
22.56 (15.2,33.4)
Gender







Female
0.51 (0.3,0.9)
1.44 (0.9,2.3)
3.46 (2.4,5.0)
6.87 (5.0,9.4)
10.17 (7.3,14.3)
12.79 (8.9,18.4)
19.30 (12.1,30.9)
Male
A rjo
0.72 (0.4,1.5)
2.03 (1.2,3.4)
4.87 (3.3,7.3)
9.79 (7.0,13.6)
14.42 (10.3,20.3)
17.55 (12.6,24.4)
26.51 (17.1,41.2)
Age
21 to <35 yrs
0.52 (0.3,1.0)
1.59 (1.0,2.6)
4.05 (2.6,6.2)
8.21 (5.6,12.1)
11.96 (8.2,17.4)
14.88 (10.4,21.3)
21.37 (15.3,29.9)
35 to <50 yrs
0.66 (0.3,1.3)
1.87 (1.1,3.1)
4.52 (3.0,6.8)
9.01 (6.2,13.2)
13.82 (8.7,22.0)
17.48 (10.5,29.0)
26.20 (14.0,48.9)
50 to <65 yrs
0.66 (0.3,1.6)
1.76 (0.9,3.5)
4.15 (2.5,6.9)
8.36 (5.7,12.2)
11.88 (8.2,17.2)
14.39 (9.9,20.8)
20.11 (13.7,29.4)
65+ yrs
0.47 (0.2,1.0)
1.29 (0.7,2.3)
3.14 (2.0,4.8)
6.45 (4.6,9.0)
9.44 (6.9,12.9)
11.99 (8.8,16.4)
18.19 (12.6,26.4)
Women of Childbearing Age1
0.38 (0.2,0.7)
1.23 (0.8,2.0)
3.22 (2.2,4.8)
6.51 (4.6,9.1)
9.75 (6.7,14.2)
12.43 (8.2,18.8)
18.56 (11.7,29.4)
Income







<$20,000
0.40 (0.2,0.8)
1.26 (0.7,2.2)
3.27 (2.1,5.0)
6.68 (4.6,9.7)
10.42 (7.5,14.5)
13.28 (9.4,18.8)
18.46 (12.4,27.6)
$20k-$45k
0.52 (0.3,1.0)
1.45 (0.9,2.4)
3.66 (2.5,5.4)
7.57 (5.3,10.8)
11.27 (7.6,16.7)
14.11(9.7,20.5)
21.32 (13.8,32.9)
$45k-$75k
0.61 (0.3,1.2)
1.72 (1.0,3.0)
4.20 (2.6,6.7)
8.67 (5.4,13.9)
12.49 (7.9,19.6)
16.00 (9.7,26.4)
22.80 (14.3,36.5)
$75k+
0.74 (0.3,1.8)
1.97 (1.0,3.8)
4.59 (2.8,7.5)
8.95 (6.0,13.3)
13.19 (9.3,18.8)
16.95 (11.6,24.8)
24.64 (15.3,39.6)
>$20,000
0.81 (0.3,1.9)
1.88 (0.8,4.2)
4.43 (2.2,9.0)
9.04 (4.7,17.5)
13.08 (6.6,26.0)
15.69 (8.1,30.5)
25.94 (9.6,70.0)
Inc Ref/DK
0.72 (0.3,1.5)
2.07 (1.1,4.0)
5.08 (2.6,10.1)
9.55 (4.9,18.6)
13.65 (7.0,26.7)
15.92 (8.7,29.1)
23.16 (12.0,44.7)
Inc missing
0.32 (0.1,1.5)
1.56 (0.3,8.1)
4.08 (0.8,20.8)
7.72 (1.8,33.0)
11.16 (2.5,50.1)
11.86 (3.9,36.5)
14.22 (5.5,37.1)
Race/Ethnicity2







Mexican American
0.86 (0.4,1.7)
2.45 (1.4,4.3)
5.70 (3.6,9.1)
11.39 (8.0,16.2)
16.28 (11.6,22.9)
20.68 (14.7,29.0)
30.29 (20.2,45.5)
Other Hispanic
1.02 (0.5,2.2)
2.67 (1.5,4.8)
6.29 (3.6,11.1)
11.80 (6.8,20.3)
17.67 (8.5,36.7)
21.46 (10.5,43.7)
30.05 (15.0,60.3)
White
0.50 (0.2,1.0)
1.40 (0.8,2.5)
3.40 (2.2,5.1)
6.86 (4.9,9.6)
10.16 (7.4,13.9)
12.80 (9.3,17.7)
18.67 (13.3,26.1)
Black
0.74 (0.4,1.5)
2.00 (1.2,3.5)
4.56 (2.9,7.1)
8.64 (5.8,12.8)
12.45 (8.8,17.6)
15.60 (11.2,21.8)
21.65 (14.6,32.0)
Other race
1.48 (0.7,3.3)
3.66 (1.7,7.8)
7.55 (3.9,14.8)
14.86 (5.8,38.1)
19.80 (7.9,49.9)
24.47 (9.0,66.6)
36.74 (9.7,139.5)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic
white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
42

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Table 14b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 2 Fish, Adults, 21 years and older, by geography
Trophic Level 2 FW+Est Fish



Percentiles (95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.59 (0.3,1.1)
1.66 (1.0,2.7)
4.07 (2.9,5.8)
8.23 (6.1,11.1)
12.08 (8.8,16.6)
15.25 (10.9,21.4)
22.56 (15.2,33.4)
Region1







Midwest
0.32 (0.1,0.9)
0.87 (0.3,2.2)
2.17 (1.1,4.3)
4.40 (2.4,8.1)
6.70 (3.9,11.4)
8.62 (5.2,14.3)
12.97 (7.6,22.1)
Northeast
0.94 (0.6,1.6)
2.51 (1.6,3.8)
5.61 (4.0,7.9)
10.70 (7.5,15.2)
14.86 (10.3,21.5)
18.23 (12.5,26.5)
26.51(16.8,41.9)
South
0.76 (0.4,1.5)
2.09 (1.2,3.6)
4.80 (3.1,7.4)
9.47 (6.5,13.8)
13.76 (9.3,20.5)
16.81 (11.5,24.6)
24.79 (15.6,39.3)
West
0.68 (0.3,1.4)
1.82 (1.0,3.3)
4.18 (2.5,6.9)
8.39 (5.1,13.7)
12.01 (7.2,20.1)
15.18 (8.7,26.5)
22.90(11.6,45.4)
Coastal Status







Noncoastal
0.47 (0.2,0.9)
1.36 (0.8,2.2)
3.38 (2.4,4.8)
6.99 (5.1,9.6)
10.69 (7.4,15.5)
13.50 (9.1,20.1)
20.73 (12.7,33.8)
Coastal
0.86 (0.4,1.8)
2.29 (1.3,4.1)
5.09 (3.2,8.2)
9.73 (6.7,14.2)
14.09 (9.9,20.1)
17.09 (12.1,24.2)
24.90(16.7,37.1)
Coastal/Inland Region2







Pacific
0.84 (0.4,1.9)
2.24 (1.1,4.5)
4.96 (2.7,9.1)
9.38 (5.3,16.7)
13.77 (7.3,26.0)
16.70 (8.9,31.2)
26.68(10.5,68.1)
Atlantic
0.84 (0.3,2.6)
2.19 (0.9,5.2)
4.69 (2.2,10.2)
8.65 (4.4,17.1)
12.44 (7.1,21.9)
15.68 (9.7,25.4)
22.00(13.6,35.6)
Gulf of Mexico
1.72 (0.6,5.2)
4.28 (1.8,10.3)
8.71 (4.4,17.3)
15.08 (8.4,26.9)
19.41 (11.5,32.8)
22.47 (13.8,36.5)
30.53 (18.9,49.3)
Great Lakes
0.60 (0.3,1.3)
1.57 (0.8,3.0)
3.47 (2.0,6.1)
7.08 (4.3,11.6)
10.14 (6.1,16.9)
12.55 (7.4,21.4)
19.78 (9.6,40.6)
Inland Northeast
0.93 (0.5,1.8)
2.63 (1.5,4.6)
6.14 (3.5,10.8)
11.79 (6.2,22.3)
15.92 (8.8,28.8)
19.70 (10.6,36.7)
29.62 (13.7,64.2)
Inland Midwest
0.28 (0.1,0.8)
0.75 (0.3,1.9)
1.83 (0.8,3.9)
3.64 (1.7,7.6)
5.50 (2.8,10.7)
7.04 (3.7,13.5)
11.20 (6.0,20.9)
Inland South
0.63 (0.3,1.3)
1.73 (1.0,3.1)
4.07 (2.5,6.7)
8.11 (4.8,13.8)
11.72 (6.7,20.4)
14.81 (8.2,26.8)
22.44(11.1,45.5)
Inland West
0.59 (0.3,1.3)
1.50 (0.8,2.9)
3.39 (2.0,5.9)
6.61 (4.1,10.6)
10.37 (6.3,17.0)
12.96 (7.8,21.5)
18.56 (11.0,31.2)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
43

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Table 15a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 3 Fish, Adults, 21 years and older, by demographics
Trophic Level 3 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.7)
2.24 (1.3,3.7)
5.06 (3.6,7.1)
9.51 (7.0,13.0)
13.78 (9.5,20.1)
17.31(11.1,27.0)
25.10(14.9,42.2)
Gender







Female
0.73 (0.4,1.5)
1.87 (1.1,3.3)
4.18 (2.8,6.2)
7.77 (5.5,11.0)
10.90 (7.7,15.5)
13.77 (9.4,20.2)
19.84(12.5,31.4)
Male
A rjo
1.13 (0.6,2.1)
2.86 (1.9,4.4)
6.30 (4.6,8.6)
11.83 (8.3,17.0)
16.88 (10.6,26.8)
20.52 (12.6,33.4)
29.34(16.5,52.3)
Age
21 to <35 yrs
0.77 (0.5,1.2)
2.08 (1.4,3.0)
4.95 (3.4,7.1)
9.43 (6.2,14.4)
13.88 (8.1,23.7)
17.63 (9.5,32.7)
25.99 (13.4,50.4)
35 to <50 yrs
0.88 (0.4,1.9)
2.20 (1.1,4.2)
5.00 (3.2,7.8)
9.34 (6.3,13.8)
13.30 (8.9,19.8)
16.75 (11.0,25.5)
23.34(14.8,36.8)
50 to <65 yrs
1.20 (0.6,2.5)
2.87 (1.7,4.9)
5.98 (4.0,8.9)
11.08 (7.7,16.0)
15.75 (10.0,24.8)
19.30(11.6,32.0)
28.05 (14.7,53.6)
65+ yrs
0.71 (0.3,1.8)
1.78 (0.9,3.7)
4.01 (2.5,6.5)
7.53 (5.1,11.2)
10.80 (7.4,15.7)
13.68 (9.3,20.0)
20.24(12.5,32.8)
Women of Childbearing Age1
0.52 (0.3,1.0)
1.56 (1.0,2.6)
3.69 (2.6,5.3)
7.24 (5.2,10.1)
10.41 (7.3,14.8)
12.89 (8.7,19.0)
19.19 (12.0,30.7)
Income







<$20,000
0.78 (0.4,1.3)
2.11 (1.3,3.5)
5.04 (3.6,7.0)
9.96 (7.3,13.6)
14.80 (9.7,22.7)
18.28(11.6,28.9)
28.09 (14.5,54.3)
$20k-$45k
0.73 (0.4,1.4)
1.90 (1.1,3.1)
4.31 (3.0,6.2)
8.08 (5.7,11.5)
11.47 (7.9,16.7)
14.45 (9.5,22.1)
20.96 (13.3,32.9)
$45k-$75k
0.81 (0.4,1.6)
2.16 (1.3,3.5)
4.97 (3.4,7.2)
9.25 (6.3,13.5)
13.20 (8.6,20.3)
16.37 (10.2,26.4)
22.88(13.9,37.7)
$75k+
1.09 (0.4,2.8)
2.59 (1.3,5.3)
5.45 (3.2,9.2)
10.36 (7.3,14.8)
14.53 (10.0,21.2)
18.44(11.9,28.5)
27.05 (15.4,47.5)
>$20,000
0.86 (0.4,1.9)
2.14 (1.0,4.5)
4.91 (1.9,12.7)
9.23 (2.9,29.3)
11.96 (4.1,35.2)
15.82 (4.0,62.0)
22.55 (5.2,97.4)
Inc Ref/DK
1.26 (0.6,2.8)
3.55 (1.5,8.5)
7.58 (3.2,18.0)
12.57 (5.9,26.8)
17.92 (7.5,43.1)
21.03 (8.6,51.2)
26.92 (11.4,63.8)
Inc missing
1.76 (0.3,9.9)
4.00 (1.2,13.7)
9.49 (2.6,35.0)
16.15 (4.9,53.1)
22.63 (6.4,80.3)
28.43 (7.4,108.7)
34.26 (12.3,95.6)
Race/Ethnicity2







Mexican American
1.00 (0.5,1.9)
2.69 (1.6,4.5)
5.80 (3.8,8.9)
10.67 (7.3,15.6)
15.01 (10.2,22.0)
18.15 (11.9,27.6)
27.04 (16.5,44.2)
Other Hispanic
1.20 (0.6,2.3)
2.87 (1.6,5.0)
6.19 (3.8,10.2)
10.70 (6.6,17.4)
14.69 (8.7,24.8)
18.39 (10.1,33.5)
25.99 (12.8,52.7)
White
0.75 (0.4,1.5)
1.86 (1.0,3.4)
4.12 (2.7,6.2)
7.69 (5.4,11.0)
10.83 (7.6,15.5)
13.91 (9.1,21.2)
20.39 (12.3,33.8)
Black
1.38 (0.7,2.7)
3.36 (2.1,5.5)
6.82 (4.7,10.0)
12.17 (8.7,16.9)
16.85 (11.9,23.9)
20.27 (13.8,29.7)
29.04 (18.0,46.9)
Other race
3.07 (1.8,5.4)
6.35 (4.0,10.1)
12.01 (6.9,20.8)
19.39 (10.4,36.3)
26.51 (11.8,59.4)
29.82 (14.7,60.5)
44.69 (14.3,139.4)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
44

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Table 15b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 3 Fish, Adults, 21 years and older, by geography
Trophic Level 3 FW+Est Fish



Percentiles (95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.7)
2.24 (1.3,3.7)
5.06 (3.6,7.1)
9.51 (7.0,13.0)
13.78 (9.5,20.1)
17.31 (11.1,27.0)
25.10 (14.9,42.2)
Region1







Midwest
0.54 (0.3,1.2)
1.37 (0.7,2.6)
3.05 (1.9,4.9)
5.73 (3.8,8.7)
8.44 (5.4,13.1)
10.73 (6.5,17.8)
15.82 (8.9,28.2)
Northeast
1.02 (0.5,2.2)
2.60 (1.4,4.7)
5.54 (3.7,8.4)
10.70 (7.3,15.8)
15.01 (9.0,24.9)
17.92 (10.6,30.4)
24.92 (13.7,45.5)
South
1.16 (0.7,2.1)
2.86 (1.8,4.7)
6.36 (4.5,9.0)
11.89 (8.4,16.9)
17.04 (11.2,25.8)
21.18 (13.3,33.9)
30.86 (17.3,55.1)
West
1.00 (0.5,2.1)
2.42 (1.4,4.3)
5.14 (3.3,8.0)
8.97 (5.7,14.2)
12.60 (7.7,20.5)
15.39 (9.1,26.1)
21.43 (11.5,39.8)
Coastal Status







Noncoastal
0.72 (0.4,1.4)
1.85 (1.1,3.2)
4.15 (2.9,6.0)
7.93 (5.6,11.1)
11.29 (7.6,16.8)
14.08 (8.8,22.5)
20.71 (11.6,37.1)
Coastal
1.24 (0.6,2.6)
3.08 (1.8,5.2)
6.56 (4.5,9.6)
11.97 (8.6,16.6)
17.10 (11.7,25.0)
20.70 (13.8,31.1)
29.55 (18.0,48.6)
Coastal/Inland Region2







Pacific
1.07 (0.5,2.4)
2.66 (1.4,5.1)
5.52 (3.1,9.8)
9.67 (5.6,16.7)
13.01 (7.4,22.9)
16.60 (8.9,30.8)
22.27 (11.5,43.2)
Atlantic
1.34 (0.5,3.7)
3.09 (1.4,7.0)
6.39 (3.5,11.6)
11.67 (7.7,17.8)
16.27 (10.6,24.9)
19.93 (12.4,32.1)
27.66 (15.3,50.0)
Gulf of Mexico
2.76 (1.1,7.2)
6.54 (3.4,12.7)
12.33 (7.3,20.9)
20.44 (13.0,32.2)
27.82 (17.2,45.1)
33.74 (19.0,59.9)
46.12 (21.8,97.7)
Great Lakes
0.85 (0.3,2.1)
2.12 (1.1,4.1)
4.37 (2.6,7.3)
8.23 (5.0,13.4)
11.40 (6.6,19.6)
13.57 (8.1,22.7)
19.78 (10.4,37.6)
Inland Northeast
0.77 (0.3,2.2)
2.05 (0.8,5.0)
4.58 (2.6,8.1)
8.86 (6.1,12.9)
13.07 (8.0,21.3)
15.78 (9.2,27.1)
22.37 (11.6,43.2)
Inland Midwest
0.49 (0.2,1.0)
1.21 (0.7,2.2)
2.75 (1.8,4.3)
5.16 (3.3,8.1)
7.34 (4.5,11.9)
9.52 (5.2,17.4)
14.24 (6.9,29.5)
Inland South
0.95 (0.6,1.6)
2.41 (1.6,3.6)
5.21 (3.7,7.3)
9.34 (6.5,13.5)
13.31 (8.3,21.2)
16.48 (9.5,28.5)
25.89 (10.9,61.5)
Inland West
0.94 (0.4,2.2)
2.22 (1.1,4.3)
4.74 (2.9,7.7)
8.39 (5.1,13.7)
11.90 (6.9,20.6)
14.83 (8.0,27.5)
20.49 (10.2,41.0)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
45

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Table 16a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 4 Fish, Adults, 21 years and older, by demographics
Trophic Level 4 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.26 (0.1,0.5)
0.80 (0.4,1.5)
2.16 (1.3,3.7)
4.97 (3.1,8.1)
8.19 (5.3,12.7)
11.53 (7.7,17.3)
20.71 (13.2,32.4)
Gender







Female
0.21 (0.1,0.4)
0.64 (0.3,1.2)
1.71 (1.0,3.1)
3.91 (2.3,6.8)
6.29 (3.7,10.7)
8.52 (4.9,14.7)
15.45 (9.3,25.7)
Male
0.35 (0.2,0.7)
1.08 (0.6,2.0)
2.83 (1.7,4.7)
6.44 (4.1,10.1)
10.56 (7.0,16.0)
14.81 (9.7,22.6)
27.06 (15.8,46.3)
rtge
21 to <35 yrs
0.19 (0.1,0.4)
0.59 (0.3,1.0)
1.69 (1.1,2.7)
4.21 (2.7,6.5)
7.01(4.5,10.9)
10.19 (6.2,16.8)
18.43 (10.4,32.8)
35 to <50 yrs
0.22 (0.1,0.5)
0.69 (0.3,1.4)
1.78 (0.9,3.7)
4.19 (2.2,7.8)
6.69 (3.6,12.6)
9.28 (5.2,16.5)
16.62 (9.5,29.0)
50 to <65 yrs
0.48 (0.2,1.0)
1.28 (0.7,2.4)
3.26 (2.0,5.4)
7.09 (4.4,11.3)
11.79 (7.3,18.9)
15.98 (9.6,26.7)
26.88 (15.5,46.7)
65+ yrs
0.32 (0.1,0.8)
0.91 (0.4,2.1)
2.33 (1.1,4.9)
5.05 (2.5,10.3)
7.89 (3.8,16.3)
10.66 (5.2,21.7)
19.39 (10.7,35.2)
Women of Childbearing Age1
0.12 (0.1,0.2)
0.42 (0.2,0.8)
1.23 (0.7,2.2)
2.91 (1.6,5.3)
4.72 (2.5,8.8)
6.48 (3.5,12.1)
11.63 (6.0,22.6)
Income







<$20,000
0.26 (0.1,0.5)
0.85 (0.5,1.5)
2.43 (1.5,3.8)
5.74 (3.8,8.7)
9.57 (6.1,15.0)
12.71 (8.2,19.7)
21.80 (13.5,35.1)
$20k-$45k
0.22 (0.1,0.5)
0.67 (0.3,1.6)
1.79 (0.7,4.3)
4.16 (1.8,9.5)
6.55 (2.7,16.1)
9.09 (3.9,20.9)
17.92 (9.9,32.6)
$45k-$75k
0.20 (0.1,0.5)
0.67 (0.3,1.3)
1.77 (0.9,3.5)
4.07 (2.1,7.8)
6.45 (3.3,12.6)
9.02 (5.0,16.3)
16.20 (9.1,29.0)
$75k+
0.34 (0.2,0.7)
0.99 (0.5,1.8)
2.55 (1.5,4.2)
6.01 (4.0,9.1)
9.48 (6.2,14.6)
13.59 (8.4,22.1)
23.79 (13.3,42.7)
>$20,000
0.29 (0.1,0.8)
0.90 (0.4,2.2)
2.60 (1.1,6.2)
5.59 (2.5,12.4)
9.12 (3.8,22.1)
11.80 (4.9,28.3)
20.13 (7.7,52.3)
Inc Ref/DK
0.31 (0.1,0.8)
1.03 (0.5,2.2)
2.69 (1.3,5.6)
6.07 (2.9,12.6)
9.10 (3.7,22.2)
11.73 (4.5,30.5)
22.29 (9.7,51.2)
Inc missing
0.50 (0.1,3.5)
1.30 (0.3,5.5)
3.65 (1.1,12.4)
9.76 (2.6,36.2)
16.46 (4.3,63.6)
23.98 (5.1,111.8)
42.98 (7.5,245.0)
Race/Ethnicity2







Mexican American
0.29 (0.2,0.5)
0.87 (0.5,1.5)
2.34 (1.4,4.0)
5.31 (3.0,9.5)
8.80 (5.0,15.4)
12.05 (6.9,21.0)
20.34 (10.9,38.1)
Other Hispanic
0.30 (0.1,0.9)
0.87 (0.3,2.2)
2.15 (0.9,5.1)
4.65 (1.9,11.4)
7.85 (3.5,17.7)
10.68 (4.8,23.6)
20.41(8.0,51.9)
White
0.22 (0.1,0.5)
0.66 (0.3,1.3)
1.74 (0.9,3.2)
3.92 (2.2,6.8)
6.18 (3.6,10.6)
8.38 (5.0,14.1)
15.63 (10.0,24.4)
Black
0.44 (0.2,0.9)
1.29 (0.7,2.4)
3.31 (1.9,5.8)
7.14 (4.1,12.6)
11.61 (7.2,18.8)
15.67 (9.7,25.4)
26.57 (15.7,45.1)
Other race
0.91 (0.4,2.0)
2.56 (1.4,4.8)
6.32 (3.7,10.9)
13.80 (7.8,24.5)
19.74 (10.8,36.2)
26.36 (14.0,49.6)
51.03 (20.3,128.5)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
46

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Table 16b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 4 Fish, Adults, 21 years and older, by geography
Trophic Level 4 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.26 (0.1,0.5)
0.80 (0.4,1.5)
2.16 (1.3,3.7)
4.97 (3.1,8.1)
8.19 (5.3,12.7)
11.53 (7.7,17.3)
20.71(13.2,32.4)
Region1







Midwest
0.20 (0.1,0.6)
0.61 (0.2,1.6)
1.63 (0.6,4.2)
3.83 (1.7,8.9)
6.13 (2.6,14.2)
8.65 (4.1,18.2)
15.80 (7.9,31.4)
Northeast
0.21 (0.1,0.5)
0.70 (0.4,1.4)
1.97 (1.2,3.3)
4.53 (2.9,7.0)
6.94 (4.4,10.9)
9.53 (6.1,14.8)
19.43 (9.8,38.7)
South
0.31 (0.2,0.6)
0.98 (0.6,1.7)
2.58 (1.5,4.4)
6.11 (4.0,9.4)
10.15 (6.8,15.2)
14.10 (9.5,21.0)
25.87 (16.6,40.4)
West
0.29 (0.1,0.6)
0.87 (0.5,1.6)
2.28 (1.3,3.9)
5.21 (3.2,8.5)
8.38 (5.1,13.8)
11.36 (6.8,19.1)
18.43 (9.9,34.2)
Coastal Status







Noncoastal
0.25 (0.1,0.5)
0.77 (0.4,1.4)
2.08 (1.2,3.5)
4.74 (2.9,7.7)
7.66 (4.7,12.4)
10.61 (6.6,17.1)
19.66 (11.6,33.3)
Coastal
0.28 (0.1,0.6)
0.86 (0.4,1.8)
2.30 (1.2,4.4)
5.52 (3.4,9.1)
9.03 (5.8,14.1)
12.76 (8.6,18.9)
22.35 (14.6,34.3)
Coastal/Inland Region2







Pacific
0.26 (0.1,0.6)
0.81 (0.4,1.8)
2.18 (1.1,4.5)
5.29 (2.9,9.7)
9.05 (5.2,15.8)
12.67 (6.9,23.2)
20.66 (10.9,39.0)
Atlantic
0.26 (0.1,0.8)
0.80 (0.3,2.1)
2.11 (0.9,5.0)
4.59 (1.9,11.0)
7.17 (2.9,17.6)
9.72 (4.1,23.0)
17.78 (9.2,34.2)
Gulf of Mexico
0.63 (0.3,1.3)
1.80 (0.9,3.5)
4.76 (2.8,8.1)
10.74 (6.9,16.8)
16.98 (10.7,26.9)
23.32 (14.2,38.3)
42.52 (21.3,85.0)
Great Lakes
0.20 (0.1,0.4)
0.57 (0.2,1.3)
1.49 (0.7,3.4)
3.71 (2.0,6.8)
5.93 (3.2,10.9)
8.34 (4.7,14.9)
14.84 (8.1,27.1)
Inland Northeast
0.17 (0.1,0.4)
0.59 (0.3,1.3)
1.68 (0.9,3.2)
3.95 (2.3,6.8)
6.15 (3.5,10.8)
8.50 (4.9,14.8)
20.29 (5.9,69.7)
Inland Midwest
0.20 (0.1,0.6)
0.62 (0.2,1.9)
1.67 (0.6,4.7)
3.85 (1.5,10.2)
6.14 (2.3,16.4)
8.70 (3.6,20.9)
15.81 (6.8,36.5)
Inland South
0.31 (0.2,0.5)
0.95 (0.6,1.5)
2.52 (1.7,3.8)
5.68 (3.7,8.7)
9.66 (6.2,15.1)
13.66 (8.0,23.2)
23.79 (13.6,41.6)
Inland West
0.34 (0.2,0.7)
0.93 (0.5,1.8)
2.42 (1.3,4.5)
5.15 (2.8,9.4)
7.72 (4.0,15.0)
9.96 (4.9,20.4)
15.98 (6.9,37.3)
HJS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did
not directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
47

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5.3 Comparison of UFCR Estimates: Modified NCI Method and
NCI Method
In order to assess EPA's Modified NCI Method, we ran models using both the Modified NCI
Method and the NCI Method. We ran four models that differed by dependent variable (i.e., fish
type), population subset, and predictors. The four models are described in Table 17.
Table 17. Models used to compare UFCR Estimates from the Modified NCI Method and the NCI
Method
Model
Dependent variable
Population
Predictors
1
Total fish
Adults, >21 years
age, race, income, body weight, and



frequency of fish consumption
2
FW+Est fish
Total population
Gender and frequency offish consumption
3
Marine fish
Total population
Gender and frequency offish consumption
4
Estuarine fish
Total population
Gender and frequency offish consumption
These models omitted significant predictors (e.g., coastal/inland region and interactions) which
reduce the accuracy of the estimates but speed up the process. In order to compare the variance
estimates between the two methods, we ran the total fish model for each replicate weight (i.e., 64
times) to obtain 95% confidence intervals. For the NCI Method, this took 3 days of continuous
computer time, split into 4 parts to use the full processing capacity of the computer.
Figure 1 shows the results from model 1. The points on the lower left are 50th percentiles and as
you move up toward the upper right, there are the 90th, 95th, and 99th percentiles. If the estimates
from both models were identical, the points would fall on the diagonal line. A point below the line
indicates that EPA's Modified NCI Method produced a higher estimate and a point above the line
indicates that EPA's Modified NCI Method produced a lower estimate. The differences range from
0 to 5%.
48

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120
110
100
90
80
70
60
Estimated Usual Intake of All Fish and Shellfish (g), Adults 21+ years
~ All
i Female
Male
a 21 to <35 yrs
a 35 to <50 yrs
* 50
A 65+ yrs
9 Mexican American
•	Other Hispanic
•	Non-Hispanic White
u 50
40
30
20
10
•	Non-Hispanic Black
•	Other Race
10 20 30 40 50 60 70 80
gfish, Westat Modified NCI Method
90
100
110
120
Figure 1. Estimated usual intake of total fish (g), comparison of EPA's Modified NCI
Method and NCI Method
Figure 2 shows the results from the comparison of FW+Estuarine estimates. The EPA estimates are
about 10% higher than the NCI Method estimates. The comparisons of estimates for Marine fish
(Figure 3) show no consistent difference between the two methods. Figure 4 shows the difference
between EPA's Modified NCI Method and NCI Method for Estuarine fish. As with FW+Estuarine,
EPA's estimates are about 10% higher.
49

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Estimated Usual Intake of Freshwater + Estuarine Fish (g)
ฆo
o
0)
5
Fema e
Male
* 1 to <3 yrs
A3 to <6 yrs
a 6 to <11 vrs
a 16 to <18 yrs
*	18 to <21 yrs
21 to <35 yrs
a 35 to <50 yrs
*	50 to <65 yrs
a 65+ yrs
•	Mexican American
•	Other Hispanic
ป Non-Hispanic White
ซฆ Non-Hispanic Black
• Other Race
10 15 20 25 30 35 40
g fish, Westat Modified NCI Method
45
50
55
60
Figure 2. Estimated usual intake of freshwater + estuarine fish (g), comparison of
EPA's Modified NCI Method and NCI Method
50

-------
80
75
70
65
60
55
50
45
40
Estimated Usual Intake of Marine Fish (g)
•All
i Female
1 to <3 yrs
. 3 to <6 yrs
6 to <11 yrs
a 16 to <18 yrs
. 18 to <21 yrs
- 21 to <35 yrs
. 35 to <50 yrs
. 50 to <65 yrs
"D
O
a 65+ yrs
• Mexican American
01
2	35
u
Z 30
J 25
cuo
20
15
10
Other Hispanic
Non-Hispanic White
• Non-Hispanic Black
i Other Race
10 15 20 25 30 35 40 45 50 55 60
gfish, Westat Modified NCI Method
65
70
75
80
Figure 3. Estimated usual intake of marine fish (g), comparison of EPA's Modified
NCI Method and NCI Method
51

-------
Estimated Usual Intake of Estuarine Fish (g)
~ All
ฆ	Female
ฆ	Male
A 1 to <3 yrs
a 3 to <6 yrs
a 18 to <21 yrs
a 21 to <35 yrs
a 35 to 
-------
150
140
130
120
110
100
90
ฆa 80
0
| 70
2
~ 60
z
1	50
OJD
40
Estimated Usual Intake of All Fish and Shellfish (g), Adults 21+ years
30
20
10
0
0 10 20
~	All
ฆ Female
k Male
~	21 to <35 yrs
a 35 to <50 yrs
•	50 to <65 yrs
*	65+ yrs
30 40 50 60 70 80 90 100 110 120 130 140 150
g fish, Westat Modified NCI Method
Figure 5. Estimated usual intake of total fish (g), comparison of EPA's Modified NCI
Method and NCI Method with 95% CIs
There is a trade-off in the estimation. In order to get results from the NCI Method within a
reasonable time, we would have had to use far fewer predictors in the modeling and possibly fit an
uncorrelated model. Given the differences observed between EPA's Modified NCI Method and the
NCI Method, we feel that using the Modified NCI method is a better compromise than fitting a
greatly simplified model using the NCI method.
5.4 Uncertainty
5.4.1 Habitat Assignments
There is some uncertainty associated with the assignment of habitats to reported fish consumption.
When the raw data are processed by NHANES, fish species reported consumed are combined.
Generally, these groupings are based on taxonomic groups. This grouping of species complicates the
assignment of habitat because in some cases, the grouped fish can inhabit different habitats and
there is no way to determine the exact species the participant consumed. For some species,
53

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apportioning relied on NOAA landings data to assign species of fish groups with many species (e.g.,
clams) to habitats.
5.4.2 NO Method
The variance or confidence interval is generally larger when using the Modified NCI Method (or the
full NCI Method) than when directly estimating using the 24-hour recall amounts. This difference is
due, in part, to uncertainty in estimation of the relative magnitude of the within- and between-
person variance components used in the model for the NCI method.
Measurements of usual fish consumption are very difficult to obtain. Since usual fish consumption is
a long-term average, we would need many 24-hour recalls over a long time to approximate what
"usual intake" is trying to assess, thus we rely on a statistical model and associated assumptions to
estimate usual intake.
The model makes certain assumptions, such as, 24-hour recalls provide unbiased estimates of fish
consumption, all respondents are fish consumers (at least occasionally), and the distribution of fish
consumption among those reporting consumption in a 24-hour recall is normally distributed for
some power transformation. The validity of these assumptions can be discussed and, to some extent
evaluated using data.
The model also makes some assumptions to simplify the computations, such as variance
components are normally distributed, additive in the transformed scale, and linearly correlated. It is
suspected that these assumptions, compared to other model assumptions that might be made, have
relatively little effect, but it is difficult to assess as alternative assumptions are difficult to compute.
If the model assumptions are accepted as reasonable, then the question is whether the estimates
from the model are biased. The estimates are based on maximum likelihood which is generally a
good computational approach for all sample sizes. However, convergence theory says maximum
likelihood is best with large sample sizes. If the parameters are biased because the sample size is
small, the usual consumption estimates may be more likely to be an under-estimate as opposed to an
over-estimate. At the same time, we have hundreds or thousands of respondents reporting fish
consumption and we expect the estimates to have relatively little bias compared to the size of the
confidence intervals.
In our opinion, the NCI method makes reasonable assumptions and, given the assumptions, has
adequate sample size to provide estimates with little bias relative to the confidence interval width.
For estimating usual fish consumption, the NCI method is the best approach that we are aware of.
At the same time, the estimates may be biased. Future work cold include a comparison of usual fish
consumption from the NCI method to results using other assumptions or calculation methods to
provide some confidence that the NCI method, even if biased, is the best available or at least is
reasonable and acceptable for use.
54

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5.4.3 Regions
The regional and coastal estimates are not as precise as for the total US due to smaller sample sizes.
There are also some questions regarding the weighting. The US Census Regions are used in the
calculation of the weights. Some of the coastal/noncoastal regions cross these Census Regions.
However, the weights also adjust for oversampling of some populations and non-response to the
survey, so we believe it is important to use the weights. While the estimates may be more imprecise
and there may be some uncertainty due to the weighting, they are still a better representation for
each coastal/noncoastal area then using the national estimate for all.
5.4.4	Seasonality
Fish consumption, especially of recreationally or sport caught fish, is likely to be vary by season.
NHANES collects data throughout the year. However, they generally collect data in northern
counties in the summer and southern counties in the winter. Thus the estimates may overestimate
usual intake in the northern regions of the U.S. and underestimate usual intake in the southern
regions of the U.S. if summer fish consumption is higher than winter fish consumption. There is no
way to estimate this season effect as there are no NHANES data from northern counties in the
winter and southern counties in the summer.
5.4.5	Precision of Estimates
The 95 percent confidence intervals are presented to show the precision of the estimates. Tighter
confidence intervals are found on more precise estimates and wider confidence limits are found on
less precise estimates. Even though an estimate for a subpopulation, say Non-Hispanic Blacks, may
be imprecise, it is likely to be closer to the true value than is the estimate for the population as a
whole or the estimate for another subpopulation. As described in the Methods section, the Modified
NCI Method (and the NCI Method) uses predictors related to fish consumption, such as
race/ethnicity, to better predict both the probability of consumption and the amount consumed on
a given consumption day. As a result, the differences between subpopulations generally reflect true
differences in consumption as opposed to uncertainty in the estimates. The values in the tables are
the best estimates of the percentiles of fish consumption for the given subpopulations. If one was
concerned about the uncertainty in the estimate and wanted to be conservative to ensure the level of
protection desired, a higher percentile of fish consumption could be chosen, say the 95th percentile
instead of the 90th, or the upper limit of the 95 percent confidence interval around the percentile of
choice could be used.
55

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6 References
AhujaJKA, Montville JB, Omolewa-Tomobi G, Heendeniya KY, Martin CL, Steinfeldt LC, Anand
J, Adler ME, LaComb RP, and Moshfegh AJ. (2012) USDA Food and Nutrient Database
for Dietary Studies, 5.0. U.S. Department of Agriculture, Agricultural Research Service,
Food Surveys Research Group, Beltsville, MD.
Dodd KAY, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith
SM. (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of
the theory. J Am Diet Assoc 2006 Oct;l 06(10) :1640-50. Review.
Freedman LS, Guenther PM, Dodd KAY, Krebs-Smith SM, Midthune D. (2010) The population
distribution of ratios of usual intakes of dietary components that are consumed every day
can be estimated from repeated 24-hour recalls. J Nutr 2010 Jan;140(l):ll 1-6.
Mahaffey, K.R., Clickner, R.P., and Jeffries, R.A. (2009. Adult women's blood mercury
concentrations vary regionally in the United States: Association with patterns of fish
consumption (NHANES 1999-2004). Environmental Health Perspectives, 117(1), 47-53.
National Center of Health Statistics. (2013) About the National Health and Nutrition Examination
Survey. Available at: http://www.t „ \ , ^ _ _ 	nhanes.htm Accessed Tune
26, 2013.
National Center of Health Statistics. (2009) National Health and Nutrition Examination Survey
MEC In-Person Dietary Interviewers Procedures Manual. Available at:
http://www.cdc.gov/ nchs/data/nhanes/nhanes_09_10/Dietary!nterviewers_Inperson.pdf
Accessed June 26, 2013.
National Center of Health Statistics. Continuous NHANES Web Tutorial. Variance Estimation. Key
concepts about variance estimation within NHANES. Available at:
http:	/tutorials/NHANES/SurvevDesigti/Varia.ficeEstima.tiofi/Ififol.h
tin
National Center for Health Statistics. (2005.) Analytic and Reporting Guidelines: The National
Health and Nutrition Examination Survey Examination Survey. December 2005. Available
afc '•'.[!* -,yu v .cdc.gov/nchs/data/nhanes/nhanes 03 04/nhanes analytic guidelines
j c_V^rJฃ
Tooze JA, Kipnis V, Buckman D\Y, Carroll R|, Freedman LS, Guenther PM, Krebs-Smith SM,
Subar AF, Dodd K\Y. (2010) A mixed-effects model approach for estimating the
distribution of usual intake of nutrients: the NCI method. Stat Med 2010 Nov
30;29(27):2857-68.
Tooze JA, Midthune D, Dodd K\Y, Freedman LS, Krebs-Smith SM, Subar AF, Guenther PM,
Carroll RJ, Kipnis V. (2006) A new statistical method for estimating the usual intake of
56

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episodically consumed foods with application to their distribution. J Am Diet Assoc 2006
Oct;106(10):l 575-87.
U.S. Department of Agriculture. (2010) Food and Nutrient Database for Dietary Studies, 4.1.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Department of Agriculture. (2008) Food and Nutrient Database for Dietary Studies, 3.0.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Department of Agriculture. (2006) Food and Nutrient Database for Dietary Studies, 2.0.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Environmental Protection Agency. (2003) Methodology for Deriving Ambient Water Quality
Criteria for the Protection of Human Health (2000): Technical Support Document Volume
2: Development of National Bioaccumulation Factors. EPA-822-R-03-030. Washington,
DC: U.S. Environmental Protection Agency, Office of Science and Technology, Office of
Water.
U.S. Environmental Protection Agency. (2002) Estimated Per Capita Fish Consumption in the
United States. Washington DC. EP A 821 C- 02-003.
U.S. Environmental Protection Agency. (2002) Trophic Level and Exposure Analyses for Selected
Piscivorous Birds and Mammals. Volume III: Appendices. Washington, DC: U.S.
Environmental Protection Agency, Office of Science and Technology, Office of Water.
U.S. Environmental Protection Agency. (1997) Mercury study report to Congress. 1997. In: An
Assessment of Exposure to Mercury in the United States, Vol 4. EPA-452/R-97-006.
Washington, DC: U.S. Environmental Protection Agency, Office of Air Quality Planning
and Standards and Office of Research and Development.
57

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Appendix A
Habitat Apportionment Documentation

-------
NHANES fish group and

Proportion


comprising species
Marine
Freshwater
Estuarine
Details*
Abalone
1
0
0
100% Marine
Anchovy
0
0
1
100% Estuarine
Barracuda
1
0
0
100% Marine
Carp
Carp
Bream
Buffalofish
Sucker
1	0	100% Freshwater
100% freshwater
=100% freshwater, but not in US waters; very rarely consumed in US (not in NOAA
import data); 0 recorded in 2007-08 NHANES AM/PM file)
100% freshwater
100% freshwater
Catfish
0.9
0.1
Blue catfish
Channel catfish
Flathead catfish
Catfishes and Bullheads
Apportioned with NOAA landings data.
80% FW/20%Est, 40% of total catch
100% FW, 32% of total catch
100% FW, 3.6% of total catch
catch-all category, apportioned according to above catch proportions, 24% of total
catch
Clam
Crab
0.84
0.16
Apportioned with NOAA landings data.
Arc/Blood clam
Atlantic jacknife clam
Atlantic surf clam
Butter clam
Manila clam
Northern quahog clam
Ocean quahog clam
Pacific geoduck clam
Pacific littleneck clam
Pacific razor clam
Pacific gaper clam
Quahog clam
Softshell clam
Clams or Bivalves
100% Est, <0.5% of tota
100% Est, <0.5% of tota
100% marine, 41.9% of tota
100% Est, <0.5% of tota
100% Est, 1% of tota
100% Est, 4.9% of tota
100% marine, 35.4% of tota
100% Est, 3.1% of tota
100% Est, <0.5% of tota
100% Marine, <0.5% of tota
100% Est, <0.5% of tota
100% Est, 0.7% of tota
100% Est, 4.8% of tota
catch
catch
catch
catch
catch
catch
catch
catch
catch
catch
catch
catch
catch
catch-all category, apportioned according to above catch proportions, 7.8% of total
catch
Cod
1
0
0
100% Marine
Conch
1
0
0
100% Marine
0.273
0.727
Atlantic rock crab
100% Marine, 0.9% of total catch
Blue crab
100% Est, 52.2% of total catch
Blue peeler crab
100% Est, 0.5% of total catch
Blue soft crab
100% Est, <0.5% of total catch
Blue crab, soft and peeler
100% Est, <0.5% of total catch
Deepsea golden crab
100% Marine, <0.5% of total catch
Deepsea red crab
100% Marine, <0.5% of total catch
A-l

-------
NHANES fish group and
Proportion

comprising species
Marine Freshwater Estuarine
Details*
Dungeness crab
Florida stone claws crab
Green crab
Horseshoe crab
Jonah crab
King crab
Red rock crab
Snow crab
Southern tanner crab
Spider crab
Crabs
100% Est, 18.1% of total catch
50% Est/50% Marine (2 species), 1.5% of
total catch
100% Est, <0.5% of total catch
used for bait and fertilizer, not consumed by humans
100% Marine, 2.7% of total catch
100% Marine, 6.5% of total catch
100% Est, <0.5% of total catch
100% Marine, 14.9% of total catch
100% Marine, 0.8% of total catch
100% Marine, <0.5% of total catch
catch-all category, apportioned according to above catch proportions, 0.8% of total
catch
Crayfish
100% Freshwater
Croaker
Croaker
Angelfish
Butterflyfish
Drumfish
Goatfish/Weke
Kingfish
Sea trout
Freshwater
Sheepshead/Goo/Gaspergou
Spadefish
Spot
Surgeonfish
Weakfish
0.071	0.05	0.879
Apportioned with NOAA landings data. Atlantic Croaker (estuarine) 99.6% of total catch.
Pacific croaker (marine) <0.5% of total catch. Weighted* 35% of group.
Aquarium fish, not consumed in US
Aquarium fish, not consumed in US
100% Estuarine (estuarine and marine caught near-shore) Weighted 10% of group.
90% Marine/10% Estuarine (one Hawaiian species is estuarine) Weighted 5% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 25% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 5% of group.
100% Freshwater Weighted 5% of group.
2 popular food species in US, one is estuarine/marine the other is marine. NOAA
landings database does not speciate. Assum 50% estuarine and 50% Marine. Weighted
5% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 5% of group.
Aquarium fish, not consumed in US
Marine and esturaine species. Weighted 5% of group.
Eel
0
1
0
100% Freshwater
Flatfish
0.87
0
0.13
Apportioned with NOAA landings data.
FLOUNDER, ARROWTOOTH



100% Marine, 15.8% of total catch
FLOUNDER, FOURSPOT



100% Marine, <0.5% of total catch
FLOUNDER, PACIFIC, SANDDAB



100% Marine, <0.5% of total catch
FLOUNDER, SOUTHERN



100% Estuarine, <0.5% of total catch
FLOUNDER, STARRY



100% Estuarine, <0.5% of total catch
FLOUNDER, SUMMER



100% Estuarine, 1.9% of total catch
FLOUNDER, WINDOWPANE



100% Estuarine, <0.5% of total catch
FLOUNDER, WINTER



100% Estuarine, 0.7% of total catch
FLOUNDER, WITCH



100% Marine, <0.5% of total catch
FLOUNDER, YELLOWTAIL



100% Marine, 0.5% of total catch
A-2

-------
NHANES fish group and

Proportion


comprising species
Marine
Freshwater
Estuarine
Details*
FLOUNDER,ATLANTIC,PLAICE



100% Marine, 0.5% of total catch
FLOUNDER,PACIFIC,SANDDAB
FLOUNDERS, RIGHTEYE



100% Marine, <0.5% of total catch
50% Marine/50% Estuarine, <0.5% of total
catch
SOLE, BUTTER



100% Marine, <0.5% of total catch
SOLE, CURLFIN



100% Marine, <0.5% of total catch
SOLE, DOVER



100% Marine, <0.5% of total catch
SOLE, ENGLISH



100% Estuarine, <0.5% of total catch
SOLE, FANTAIL



100% Marine, <0.5% of total catch
SOLE, FLATHEAD



100% Estuarine, 7.5% of total catch
SOLE, PETRALE



100% Marine, <0.5% of total catch
SOLE, REX



100% Marine, 1.9% of total catch
SOLE, ROCK



100% Marine, 18.1% of total catch
SOLE, SAND



100% Estuarine, <0.5% of total catch
SOLE, YELLOWFIN



100% Marine, 37.3% of total catch
HALIBUT, ATLANTIC



100% Marine, <0.5% of total catch
HALIBUT, CALIFORNIA



100% Estuarine, <0.5% of total catch
HALIBUT, GREENLAND



100% Marine, 1.4% of total catch
HALIBUT, PACIFIC

75% Marine (adults)/25% Estuarine (young), 9.2% of total catch
Flounder
0.85
0
0.15
Apportioned with N0AA landings data.
FLOUNDER, ARROWTOOTH



100% Marine, 78.5% of total catch
FLOUNDER, FOURSPOT



100% Marine, <0.5% of total catch
FLOUNDER, PACIFIC, SANDDAB



100% Marine, <0.5% of total catch
FLOUNDER, SOUTHERN



100% Estuarine, 1.7% of total catch
FLOUNDER, STARRY



100% Estuarine, <0.5% of total catch
FLOUNDER, SUMMER



100% Estuarine, 9.4% of total catch
FLOUNDER, WINDOWPANE



100% Estuarine, <0.5% of total catch
FLOUNDER, WINTER



100% Estuarine, 0.3% of total catch
FLOUNDER, WITCH



100% Marine, 1.5% of total catch
FLOUNDER, YELLOWTAIL



100% Marine, 2.5% of total catch
FLOUNDER,ATLANTIC,PLAICE



100% Marine, 2.4% of total catch
FLOUNDER,PACIFIC,SANDDAB
FLOUNDERS, RIGHTEYE



100% Marine, <0.5% of total catch
50% Marine/50% Estuarine, <0.5% of total
catch
Sole
0.89
0
0.11
Apportioned with N0AA landings data.
SOLE, BUTTER



100% Marine, <0.5% of total catch
SOLE, CURLFIN



100% Marine, <0.5% of total catch
SOLE, DOVER



100% Marine, 5.6% of total catch
SOLE, ENGLISH



100% Estuarine, <0.5% of total catch
SOLE, FANTAIL



100% Marine, <0.5% of total catch
SOLE, FLATHEAD



100% Estuarine, 10.8% of total catch
SOLE, PETRALE



100% Marine, 0.6% of total catch
A-3

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NHANES fish group and
Proportion

comprising species
Marine Freshwater Estuarine
Details*
SOLE, REX

100% Marine, 2.7% of total catch
SOLE, ROCK

100% Marine, 26.1% of total catch
SOLE, SAND

100% Estuarine, <0.5% of total catch
SOLE, YELLOWFIN

100% Marine, 54.0% of total catch
Halibut
0.78 0 0.22
Apportioned with NOAA landings data.
HALIBUT, ATLANTIC

100% Marine, <0.5% of total catch
HALIBUT, CALIFORNIA

100% Estuarine, 0.9% of total catch
HALIBUT, GREENLAND

100% Marine, 13.0% of total catch
HALIBUT, PACIFIC
75% Marine (adults)/25% Estuarine (young), 86.0% of total catch
Haddock
0.945 0.05 0.006

Haddock

100% Marine. Weighted 50% of group.
Blowfish

Not consumed in US
Burbot

100% Freshwater. Weighted 5% of group.
Cusk

100% Marine. Weighted 5% of group.
Hake
9 species: 8 are marine (89%) and 1 is estuarine (11%). Weighted 5% of group.
Ling

100% Marine. Weighted 5% of group.
Monkfish

100% Marine. Weighted 5% of group.
Scrod

100% Marine. Weighted 25% of group.
Herring
0.304 0.01 0.686

Herring
Apportioned with NOAA landings data. (0.6%M/0.3$FW/99.1%Est) Weighted 60% of
group.

HERRING, ATLANTIC
100% Estuarine, 64.3% of total catch

HERRING, ATLANTIC THREAD
100% Marine, <0.5% of total catch

HERRING, BLUEBACK
100% Estuarine, <0.5% of total catch

HERRING, LAKE OR CISCO
100% Freshwater, <0.5% of total catch

HERRING, PACIFIC
100% Estuarine, 34.6% of total catch

HERRING, ROUND
100% Marine, <0.5% of total catch

HERRINGS
catch-all category, apportioned according
to above catch proportions, <0.5% of total
catch
Milkfish

100% Marine. Weighted 30% of group.
Shad

6 main species. 92% Estuarine/8%
Freshwater (Alewife if 50% FW). Weighted
10% of group.
Jellyfish
0 0 1
100% Estuarine
Lobster
0.044 0 0.956
Apportioned with NOAA landings data.
LOBSTER, AMERICAN

100% Estuarine, 95.0% of total catch
LOBSTER, BANDED SPINY

100% Marine, <0.5% of total catch
LOBSTER, CALIFORNIA SPINY

100% Estuarine, 0.6% of total catch
LOBSTER, CARIBBEAN SPINY

100% Marine, 4.4% of total catch
LOBSTER, SLIPPER

100% Marine, <0.5% of total catch
Mackerel
0.411 0 0.589
A-4


-------
NHANES fish group and
Proportion


comprising species
Marine Freshwater Estuarine
Details*

Mackerel
Apportioned with NOAA landings data. Weighted 90% of group.


MACKEREL, ATLANTIC
100% Estuarine, 63.4% of total catch


MACKEREL, CHUB
100% Marine, 13.8% of total catch


MACKEREL, FRIGATE
100% Marine, <0.5% of total catch


MACKEREL, KING
100% Marine, 1.7% of total catch


MACKEREL, KING AND CERO
100% Marine, 11.1% of total catch


MACKEREL, SPANISH
100% Marine, 10.0% of total catch

Garfish

100% Estuarine. Weighted 2% of group.

Ono/Wahoo
Needlefish
100% Marine. Weighted 4% of group.
56% Marine/44% Estuarine (9 species, 5 marine and 4 estuarine). Weighted 4% of
group.
Mullet

0 0 1
100% Estuarine
Mussel

0 0 1
100% Estuarine
Rockfish/Ocean Perch
0.925 0 0.075


Ocean Perch

100% Marine. Weighted 15% of group.

Bocaccio

100% Estuarine. Weighted 5% of group.

Menpachi

100% Marine. Weighted 5% of group.

Orange roughy

100% Marine. Weighted 35% of group.

Redfish
Rockfish

100% Marine. Weighted 15% of group.
70 species, approximately half are found
in estuaries (in addition to marine
habitats) 50% Marine/50% Estuarine.
Weighted 5% of group.
Octopus
0.62 0 0.38
8 species commonly consumed in US. 3
are 100% estuarine and 5 are 100%
Marine. NOAA database does nto
speciate.
Oyster

0 0 1
100% Estuarine
Perch
Perch
Bluegill
Crappie
Sunfish
Bass
Walleye
0 10
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
Pike
Pike
Muskellunge
Pickerel
0 10
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
Pompano	0.661	0.002	0.338
Florida (100% Est) is 97% of total catch, African (100% Marine) is 3% of total catch.
Pompano	Weighted 3% of group.
A-5

-------
NHANES fish group and
Proportion
comprising species
Marine Freshwater Estuarine Details*
Akule
100% Marine. Weighted 3% of group.
Blackfish
2 main species: 1 is marine, near-caost (100% Estuarine) and the other is mainly
estuarine and partially freshwater. 95% Estuarein/5% FW. Weighted 3% of group.
Bluefish
100% Estuarine. Weighted 3% of group.
Butterfish
100% Estuarine. Weighted 3% of group.
Dolphinfish
100% Marine. Weighted 10% of group.
Jack
100% Marine. Weighted 3% of group.
Mahimahi
100% Marine. Weighted 35% of group.
Papio
100% Marine. Weighted 3% of group.
Parrot fish
100% Marine. Weighted 3% of group.
Sablefish
100% Marine. Weighted 3% of group.
Scad
100% Marine. Weighted 3% of group.
Tilefish
100% Marine. Weighted 3% of group.
Ulua
100% Estuarine. Weighted 3% of group.
Yellowtail
100% Estuarine. Weighted 19% of group.
Porgy
0.981 0 0.019 Apportioned with N0AA landings data.
PORGY, JOLTHEAD
100% Marine, <0.5% of total catch
PORGY, KNOBBED
100% Marine, <0.5% of total catch
PORGY, RED
100% Marine, 1.7% of total catch
SCUP
100% Marine, 43.8% of total catch
SCUPSOR PORGIES
100% Marine, 1.7% of total catch
SHEEPSHEAD
100% Marine, 8.2% of total catch
SNAPPER, BLACK
100% Marine, <0.5% of total catch
SNAPPER, BLACKFIN
100% Marine, <0.5% of total catch
SNAPPER, CUBERA
100% Estuarine, <0.5% of total catch
SNAPPER, DOG
100% Estuarine, <0.5% of total catch
SNAPPER, GRAY
100% Estuarine, 1.3% of total catch
SNAPPER, LANE
100% Marine, <0.5% of total catch
SNAPPER, MUTTON
100% Estuarine, 0.6% of total catch
SNAPPER, QUEEN
100% Marine, <0.5% of total catch
SNAPPER, RED
100% Marine, 14.3% of total catch
SNAPPER, SILK
100% Marine, <0.5% of total catch
SNAPPER, VERMILION
100% Marine, 17.9% of total catch
SNAPPER, YELLOWTAIL
100% Marine, 8.6% of total catch
SNAPPERS
catch-all category for snapper, apportioned according to above catch proportions, 1.2%
of total catch
Roe/Caviar	0.085	0.235	0.68
10 species commonly used. Salmon, Alewife, Paddlefish, Bowfin, Pike, Freshwater
Roe	Whitefish, Shad = 100% FW. Mullet = 100% Est. Capelin, Cod = 100% Marine. Total
70%FW/10%Est/20%Marine. Weighted 40% of group.
Caviar	Strugeon eggs. 100% Estuarine. Weighted 60% of group.
A-6

-------
NHANES fish group and
Proportion

comprising species
Marine Freshwater Estuarine
Details*
Salmon
Salmon
0.96	0.005	0.035
Partially apportioned with NOAA data. Weighted 99% of group.
Kokanee
SALMON, CHINOOK
SALMON, CHUM
SALMON, COHO
SALMON, PINK
SALMON, SOCKEYE
Saltwater trout
Landlocked sockeye salmon, 100%
Freshwater. Catch is <1% of total salmon
catch.
100% Marine. 1.5% of total catch.
Some populations spend many months in
estuaries. 85% Marine/15% Estuarine.
15.3% of total catch
Some populations spend many months in
estuaries. 85% Marine/15% Estuarine.
4.4% of total catch
100% Marine. 44.6% of total catch.
100% Marine. 34.1% of total catch.
100% Estuarine. Weighted 1% of group.
Sardine
0.9
0.1
Pacific sardine
Round sardinella
90% of catch, 100% marine
10% of catch, 100% estuarine
Scallop
Shark
100% Estuarine
Sea Bass	0.925	0.025	0.05
5 species commonly consumed in US. 100% Marine. Weighted 85% of group.
150 species, some marine only, some estuarine and marine. 50% Marine/50% Estuarine.
Weighted 10% of group.
50% Estuarine/50% Freshwater. Weighted 10% of group.
100% Marine. Weighted 10% of group.
Sea bass
Grouper
Striped Bass
Wreckfish
0.866
0.134
Shark
Dogfish
Grayfish
8 species consumed. 7 marine, 1 estuarine/marine. 87.5% Marine/12.5% Estuarine.
Weighted 90% of group.
16 species consumed. 14 marine, 2 estuarine/marine. 87.5% Marine/12.5% Estuarine.
Weighted 5% of group.
5 species consumed. 3 marine, 2 estuarine/marine. 60% Marine/40% Estuarine.
Weighted 5% of group.
Shrimp

0.176
0
0.824
Apportioned with NOAA landings data.
SHRIMP, BROWN



100% Estuarine, 36.4% of total catch.
SHRIMP, MARINE, OTHER



100% Marine, 2.6% of total catch.
SHRIMP, OCEAN



100% Marine, 13.4% of total catch.
SHRIMP, PACIFIC ROCK



100% Marine, <0.5% of total catch.
SHRIMP, PENAEID



100% Estuarine, <0.5% of total catch.
SHRIMP, PINK



100% Estuarine, 3.2% of total catch.
SHRIMP, ROCK



100% Marine, 1.1% of total catch.
SHRIMP, ROYAL RED



100% Marine, <0.5% of total catch.
A-7

-------
NHANES fish group and

Proportion


comprising species
Marine
Freshwater
Estuarine
Details*
SHRIMP, SEABOB



100% Estuarine, <0.5% of total catch.
SHRIMP, SPOT



100% Estuarine, <0.5% of total catch.
SHRIMP, WHITE



100% Estuarine, 40.2% of total catch.
SHRIMP,PANDALID



100% Estuarine, 0.9% of total catch.
SHRIMP, FW



100% Freshwater, <0.001% of total catch

catch-
ฆall category, apportioned according to above catch proportions, 0.9% of total
SHRIMP, DENDROBRANCHIATA



catch
Snail
0.45
0.1
0.45
Species found in all environments.
Limpet



80% marine species, 20% freshwter
species.
Conch



Half species 100% Marine, half 100%



marine but harvested near coast.
Moon snail



Half species 100% Marine, half 100%
marine but harvested near coast.
Squid
0.8
0
0.2

Squid


5 species commonly caught. 4 marine and 1 estuarine.
Cuttlefish



Marine. Not found in US waters.
Sturgeon
0
0.42
0.58
6 species commonly caught. 1 FW/Est,
2 FW, 3 Est
Swordfish
1
0
0
100% Marine
Swordfish



100% Marine
Marlin



100% Marine




Invasive in US; established populations
Tilapia
0
0.5
0.5
in some freshwater lakes as well as
estuaries
Trout
0.106
0.869
0.025

Trout



100% Freshwater, weighted 70% of group
Chub



100% Freshwater, weighted 5% of group

4 species: 1 FW, 1 Marine/Est, 1 Est, 1 FW/Est (37.5% FW, 50% Est, 12.5% marine,
Cisco



weighted 5% of group)
Lake Herring



100% Freshwater, weighted 5% of group
Steelhead



100% Marine, weighted 10% of group
Freshwater Whitefish



100% Freshwater, weighted 5% of group




Based on apportionment of cod, whiting,
Whitefish
0.877
0
0.123
haddock, hake, pollock, sole, flounder,
and halibut.
Tuna, canned
1
0
0
100% Marine
Tuna, fresh
1
0
0
100% Marine
Whelk
0
0
1
100% Estuarine
Whiting
1
0
0
100% Marine
Fish not specified
0.52
0.16
0.32
Apportioned according to overall
percentages of all specified species
A-8

-------
NHANES fish group and
Proportion

comprising species
Marine Freshwater Estuarine
Details*
Breaded Fish Products
10 0
100% Marine (Pollock/Cod)
*Weighted percentages come from number of reports in 2007-08 NHANES AM/PM file. Unless a fish is not known to be
consumed in the US, no fish were assigned a 0 weight as they could be reported consumed in other NHANES releases.
We on ly had access to the 2007-08 AM/PM file.
A-9

-------
Fish-Containing Food Codes
Appendix B

-------
Table B I. Fish-containing food codes in NHANES data
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
14620120
27
0.28
Shrimp dip,
cream cheese
base

0.262
CANNED
25.0%
0.349
0.062
0.000
0.288
0.349
0.000
0.175
0.175
0.000
26100100
1
0.01
Fish, NS as to
type, raw

1.000
RAW
0.0%
1.000
0.520
0.160
0.320
0.000
1.000
0.000
0.500
0.500
26100110
74
0.77
Fish, NS as to
type, cooked, NS
as to cooking
method

0.992
COOKED DRY
HEAT
25.0%
1.322
0.687
0.212
0.423
0.000
1.322
0.000
0.661
0.661
26100120
130
1.36
Fish, NS as to
type, baked or
broiled

0.946
COOKED DRY
HEAT
25.0%
1.262
0.656
0.202
0.404
0.000
1.262
0.000
0.631
0.631
26100130
21
0.22
Fish, NS as to
type, breaded or
battered, baked

0.771
RAW
0.0%
0.771
0.400
0.123
0.247
0.000
0.771
0.000
0.385
0.385
26100140
83
0.87
Fish, NS as to
type, floured or
breaded, fried

0.832
RAW
0.0%
0.832
0.432
0.133
0.266
0.000
0.832
0.000
0.416
0.416
26100150
58
0.61
Fish, NS as to
type, battered,
fried

0.752
RAW
0.0%
0.752
0.391
0.120
0.241
0.000
0.752
0.000
0.376
0.376
26100160
27
0.28
Fish, NS as to
type, steamed

0.993
RAW
0.0%
0.993
0.516
0.159
0.318
0.000
0.993
0.000
0.497
0.497
26100170
6
0.06
Fish, NS as to
type, dried

1.000
SALTED
30.0%
1.429
0.742
0.229
0.457
0.000
1.429
0.000
0.714
0.714
26100190
5
0.05
Fish, NS as to
type, smoked

1.000
SMOKED
CISCO
30.2%
1.433
0.745
0.229
0.459
0.000
1.433
0.000
0.717
0.717
26100210
21
0.22
Fish stick, patty,
or fillet, NS as to
type, cooked, NS
as to cooking
method

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100220
34
0.36
Fish stick, patty,
or fillet, NS as to
type, baked or
broiled

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
HI

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26100230
300
3.14
Fish stick, patty,
or fillet, NS as to
type, breaded or
battered, baked

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100240
143
1.5
Fish stick, patty,
or fillet, NS as to
type, floured or
breaded, fried

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100250
55
0.58
Fish stick, patty,
or fillet, NS as to
type, battered,
fried

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26101110
9
0.09
Anchovy,
cooked, NS as to
cooking method

1.000
CANNED
25.0%
1.333
0.000
0.000
1.333
0.000
1.333
0.667
0.667
0.000
26105120
6
0.06
Carp, baked or
broiled

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.933
0.000
26105140
10
0.1
Carp, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.835
0.000
26107110
4
0.04
Catfish, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.752
0.084
0.000
0.835
0.000
0.418
0.418
26107120
72
0.75
Catfish, baked or
broiled

0.933
RAW
0.0%
0.933
0.000
0.840
0.093
0.000
0.933
0.000
0.467
0.467
26107130
11
0.12
Catfish, breaded
or battered,
baked

0.775
RAW
0.0%
0.775
0.000
0.697
0.077
0.000
0.775
0.000
0.387
0.387
26107140
122
1.28
Catfish, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.752
0.084
0.000
0.835
0.000
0.418
0.418
26107150
80
0.84
Catfish,
battered, fried

0.752
RAW
0.0%
0.752
0.000
0.677
0.075
0.000
0.752
0.000
0.376
0.376
26107160
11
0.12
Catfish, steamed
or poached

0.993
RAW
0.0%
0.993
0.000
0.894
0.099
0.000
0.993
0.000
0.497
0.497
26109110
4
0.04
Cod, cooked, NS
as to cooking
method

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.418
0.418
26109120
58
0.61
Cod, baked or
broiled

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.467
0.467
26109130
16
0.17
Cod, breaded or
battered, baked

0.775
RAW
0.0%
0.775
B-2
0.775
0.000
0.000
0.000
0.775
0.000
0.387
0.387

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26109140
31
0.32
Cod, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.418
0.418
26109150
44
0.46
Cod, battered,
fried

0.752
RAW
0.0%
0.752
0.752
0.000
0.000
0.000
0.752
0.000
0.376
0.376
26109160
8
0.08
Cod, steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.497
0.497
26109170
3
0.03
Cod, dried,
salted

1.000
SALTED
30.0%
1.429
1.429
0.000
0.000
0.000
1.429
0.000
0.714
0.714
26109180
1
0.01
Cod, dried,
salted, salt
removed in
water

0.285
SALTED
30.0%
0.407
0.407
0.000
0.000
0.000
0.407
0.000
0.204
0.204
26111120
17
0.18
Croaker, baked
or broiled

0.933
RAW
0.0%
0.933
0.067
0.047
0.820
0.000
0.933
0.000
0.467
0.467
26111130
2
0.02
Croaker,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.055
0.039
0.680
0.000
0.774
0.000
0.387
0.387
26111140
16
0.17
Croaker, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.060
0.042
0.734
0.000
0.835
0.000
0.418
0.418
26111160
4
0.04
Croaker,
steamed or
poached

0.993
RAW
0.0%
0.993
0.071
0.050
0.873
0.000
0.993
0.000
0.497
0.497
26113110
4
0.04
Eel, cooked, NS
as to cooking
method

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26113160
1
0.01
Eel, steamed or
poached

0.993
RAW
0.0%
0.993
0.000
0.993
0.000
0.000
0.993
0.000
0.000
0.993
26115110
3
0.03
Flounder,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.812
0.000
0.121
0.000
0.933
0.000
0.467
0.467
26115120
60
0.63
Flounder, baked
or broiled

0.933
RAW
0.0%
0.933
0.812
0.000
0.121
0.000
0.933
0.000
0.467
0.467
26115130
12
0.13
Flounder,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.674
0.000
0.101
0.000
0.774
0.000
0.387
0.387
26115140
45
0.47
Flounder,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.727
0.000
0.109
0.000
0.835
0.000
0.418
0.418
26115150
32
0.34
Flounder,
battered, fried

0.752
RAW
0.0%
0.752
B-3
0.654
0.000
0.098
0.000
0.752
0.000
0.376
0.376

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26115160
3
0.03
Flounder,
steamed or
poached

0.993
RAW
0.0%
0.993
0.864
0.000
0.129
0.000
0.993
0.000
0.497
0.497
26117110
1
0.01
Haddock,
cooked, NS as to
cooking method

0.932
RAW
0.0%
0.932
0.881
0.047
0.005
0.000
0.932
0.000
0.466
0.466
26117120
27
0.28
Haddock, baked
or broiled

0.932
RAW
0.0%
0.932
0.881
0.047
0.005
0.000
0.932
0.000
0.466
0.466
26117130
13
0.14
Haddock,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.731
0.039
0.004
0.000
0.774
0.000
0.387
0.387
26117140
15
0.16
Haddock, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.789
0.042
0.005
0.000
0.835
0.000
0.418
0.418
26117150
8
0.08
Haddock,
battered, fried

0.752
RAW
0.0%
0.752
0.710
0.038
0.004
0.000
0.752
0.000
0.376
0.376
26117160
4
0.04
Haddock,
steamed or
poached

0.993
RAW
0.0%
0.993
0.938
0.050
0.005
0.000
0.993
0.000
0.497
0.497
26119110
4
0.04
Herring, cooked,
NS as to cooking
method

1.000
PICKLED
14.8%

0.357
0.012
0.805
0.000
1.174
0.000
1.174
0.000
26119120
13
0.14
Herring, baked
or broiled

0.933
RAW
0.0%
0.933
0.284
0.009
0.640
0.000
0.933
0.000
0.933
0.000
26119140
1
0.01
Herring, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.254
0.008
0.573
0.000
0.835
0.000
0.835
0.000
26119160
1
0.01
Herring, pickled,
in cream sauce

0.798
PICKLED
14.8%
0.936
0.285
0.009
0.642
0.000
0.936
0.000
0.936
0.000
26119180
8
0.08
Herring, pickled

1.000
PICKLED
14.8%
1.174
0.357
0.012
0.805
0.000
1.174
0.000
1.174
0.000
26119190
4
0.04
Herring, smoked,
kippered

1.000
KIPPERED
10.3%
1.115
0.339
0.011
0.765
0.000
1.115
0.000
1.115
0.000
26121100
1
0.01
Mackerel, raw

1.000
RAW
0.0%
1.000
0.411
0.000
0.589
0.000
1.000
0.000
0.500
0.500
26121110
1
0.01
Mackerel,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.384
0.000
0.550
0.000
0.933
0.000
0.467
0.467
26121120
7
0.07
Mackerel, baked
or broiled

0.933
RAW
0.0%
0.933
0.384
0.000
0.550
0.000
0.933
0.000
0.467
0.467
26121140
1
0.01
Mackerel,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.343
0.000
0.492
0.000
0.835
0.000
0.418
0.418
B-4

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26121180
4
0.04
Mackerel,
canned

1.000
CANNED
25.0%
1.333
0.548
0.000
0.785
0.000
1.333
0.000
0.667
0.667
26123140
1
0.01
Mullet, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.000
0.835
0.835
0.000
0.000
26125120
28
0.29
Ocean perch,
baked or broiled

0.933
RAW
0.0%
0.933
0.863
0.000
0.070
0.000
0.933
0.000
0.000
0.933
26125140
15
0.16
Ocean perch,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.773
0.000
0.063
0.000
0.835
0.000
0.000
0.835
26125150
6
0.06
Ocean perch,
battered, fried

0.752
RAW
0.0%
0.752
0.695
0.000
0.056
0.000
0.752
0.000
0.000
0.752
26125160
2
0.02
Ocean perch,
steamed or
poached

0.993
RAW
0.0%
0.993
0.919
0.000
0.075
0.000
0.993
0.000
0.000
0.993
26127110
3
0.03
Perch, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26127120
38
0.4
Perch, baked or
broiled

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26127130
10
0.1
Perch, breaded
or battered,
baked

0.774
RAW
0.0%
0.774
0.000
0.774
0.000
0.000
0.774
0.000
0.000
0.774
26127140
57
0.6
Perch, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26127150
31
0.32
Perch, battered,
fried

0.752
RAW
0.0%
0.752
0.000
0.752
0.000
0.000
0.752
0.000
0.000
0.752
26127160
5
0.05
Perch, steamed
or poached

0.993
RAW
0.0%
0.993
0.000
0.993
0.000
0.000
0.993
0.000
0.000
0.993
26129120
1
0.01
Pike, baked or
broiled

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26129140
2
0.02
Pike, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26131100
1
0.01
Pompano, raw

1.000
RAW
0.0%
1.000
0.661
0.002
0.338
0.000
1.000
0.000
0.000
1.000
26131110
1
0.01
Pompano,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.617
0.001
0.315
0.000
0.933
0.000
0.000
0.933
26131120
28
0.29
Pompano, baked
or broiled

0.933
RAW
0.0%
0.933
0.617
0.001
0.315
0.000
0.933
0.000
0.000
0.933
B-5

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26131140
6
0.06
Pompano,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.552
0.001
0.282
0.000
0.835
0.000
0.000
0.835
26131150
1
0.01
Pompano,
battered, fried

0.752
RAW
0.0%
0.752
0.497
0.001
0.254
0.000
0.752
0.000
0.000
0.752
26131160
11
0.12
Pompano,
steamed or
poached

0.993
RAW
0.0%
0.993
0.656
0.001
0.336
0.000
0.993
0.000
0.000
0.993
26133110
1
0.01
Porgy, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.819
0.000
0.016
0.000
0.835
0.000
0.000
0.835
26133120
13
0.14
Porgy, baked or
broiled

0.933
RAW
0.0%
0.933
0.916
0.000
0.018
0.000
0.933
0.000
0.000
0.933
26133140
6
0.06
Porgy, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.819
0.000
0.016
0.000
0.835
0.000
0.000
0.835
26133150
3
0.03
Porgy, battered,
fried

0.637
RAW
0.0%
0.637
0.625
0.000
0.012
0.000
0.637
0.000
0.000
0.637
26133160
5
0.05
Porgy, steamed
or poached

0.993
RAW
0.0%
0.993
0.975
0.000
0.019
0.000
0.993
0.000
0.000
0.993
26137100
1
0.01
Salmon, raw

1.000
RAW
0.0%
1.000
0.960
0.005
0.035
0.000
1.000
0.000
0.000
1.000
26137110
47
0.49
Salmon, cooked,
NS as to cooking
method

0.993
COOKED DRY
HEAT
25.0%
1.323
1.270
0.007
0.046
0.000
1.323
0.000
0.000
1.323
26137120
435
4.55
Salmon, baked
or broiled

0.933
RAW
0.0%
0.933
0.896
0.005
0.033
0.000
0.933
0.000
0.000
0.933
26137140
24
0.25
Salmon, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.802
0.004
0.029
0.000
0.835
0.000
0.000
0.835
26137150
15
0.16
Salmon,
battered, fried

0.752
RAW
0.0%
0.752
0.722
0.004
0.026
0.000
0.752
0.000
0.000
0.752
26137160
31
0.32
Salmon,
steamed or
poached

0.993
RAW
0.0%
0.993
0.954
0.005
0.035
0.000
0.993
0.000
0.000
0.993
26137180
32
0.34
Salmon, canned

1.000
CANNED
25.0%
1.333
1.280
0.007
0.047
0.000
1.333
0.000
0.000
1.333
26137190
53
0.55
Salmon, smoked

1.000
SMOKED
SALMON
5.0%
1.053
1.011
0.005
0.037
0.000
1.053
0.000
0.000
1.053
26139110
18
0.19
Sardines, cooked

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
26139170
1
0.01
Sardines, dried

1.000
DRIED
80.0%
5.003
4.502
0.000
0.500
0.000
5.003
0.000
5.003
0.000
26139180
36
0.38
Sardines, canned
in oil

1.000
CANNED
25.0%
1.333
B-6
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26139190
13
0.14
Sardines,
skinless,
boneless, packed
in water

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
26141110
1
0.01
Sea bass,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.863
0.023
0.047
0.000
0.933
0.000
0.000
0.933
26141120
24
0.25
Sea bass, baked
or broiled

0.933
RAW
0.0%
0.933
0.863
0.023
0.047
0.000
0.933
0.000
0.000
0.933
26141130
1
0.01
Sea bass,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.716
0.019
0.039
0.000
0.774
0.000
0.000
0.774
26141140
8
0.08
Sea bass, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.773
0.021
0.042
0.000
0.835
0.000
0.000
0.835
26141160
8
0.08
Sea bass,
steamed or
poached

0.993
RAW
0.0%
0.993
0.919
0.025
0.050
0.000
0.993
0.000
0.000
0.993
26143120
1
0.01
Shark, baked or
broiled

0.933
RAW
0.0%
0.933
0.808
0.000
0.125
0.000
0.933
0.000
0.000
0.933
26147110
2
0.02
Sturgeon,
cooked, NS as to
cooking method

0.992
RAW
0.0%
0.992
0.000
0.417
0.575
0.000
0.992
0.000
0.000
0.992
26149120
16
0.17
Swordfish, baked
or broiled

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26149140
3
0.03
Swordfish,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.000
0.835
26149160
1
0.01
Swordfish,
steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.000
0.993
26151110
1
0.01
Trout, cooked,
NS as to cooking
method

0.933
RAW
0.0%
0.933
0.099
0.811
0.023
0.000
0.933
0.000
0.000
0.933
26151120
39
0.41
Trout, baked or
broiled

0.933
RAW
0.0%
0.933
0.099
0.811
0.023
0.000
0.933
0.000
0.000
0.933
26151130
4
0.04
Trout, breaded
or battered,
baked

0.835
RAW
0.0%
0.835
0.089
0.725
0.021
0.000
0.835
0.000
0.000
0.835
26151140
29
0.3
Trout, floured or
breaded, fried

0.835
RAW
0.0%
0.835
B 7
0.089
0.726
0.021
0.000
0.835
0.000
0.000
0.835

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26151150
24
0.25
Trout, battered,
fried

0.752
RAW
0.0%
0.752
0.080
0.653
0.019
0.000
0.752
0.000
0.000
0.752
26151190
1
0.01
Trout, smoked

0.993
RAW
0.0%
0.993
0.106
0.862
0.025
0.000
0.993
0.000
0.000
0.993
26153100
7
0.07
Tuna, fresh, raw

1.000
RAW
0.0%
1.000
1.000
0.000
0.000
0.000
1.000
0.000
0.000
1.000
26153110
6
0.06
Tuna, fresh,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26153120
37
0.39
Tuna, fresh,
baked or broiled

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26153140
4
0.04
Tuna, fresh,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.000
0.835
26153160
5
0.05
Tuna, fresh,
steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.000
0.993
26155110
369
3.86
Tuna, canned,
NS as to oil or
water pack

1.000
CANNED
25.0%
1.333
1.333
0.000
0.000
0.000
1.333
0.000
0.000
1.333
26155190
1
0.01
Tuna, canned,
water pack

1.000
CANNED
25.0%
1.333
1.333
0.000
0.000
0.000
1.333
0.000
0.000
1.333
26157120
28
0.29
Whiting, baked
or broiled

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.933
0.000
26157130
3
0.03
Whiting,
breaded or
battered, baked

0.775
RAW
0.0%
0.775
0.775
0.000
0.000
0.000
0.775
0.000
0.775
0.000
26157140
64
0.67
Whiting, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.835
0.000
26157150
24
0.25
Whiting,
battered, fried

0.752
RAW
0.0%
0.752
0.752
0.000
0.000
0.000
0.752
0.000
0.752
0.000
26158000
17
0.18
Tilapia, cooked,
NS as to cooking
method

0.933
RAW
0.0%
0.933
0.000
0.467
0.467
0.000
0.933
0.933
0.000
0.000
26158010
187
1.96
Tilapia, baked or
broiled

0.933
RAW
0.0%
0.933
0.000
0.467
0.467
0.000
0.933
0.933
0.000
0.000
26158020
20
0.21
Tilapia, breaded
or battered,
baked

0.774
RAW
0.0%
0.774
0.000
0.387
0.387
0.000
0.774
0.774
0.000
0.000
26158030
63
0.66
Tilapia, floured
or breaded, fried

0.835
RAW
0.0%
0.835
B-8
0.000
0.418
0.418
0.000
0.835
0.835
0.000
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26158040
21
0.22
Tilapia, battered,
fried

0.752
RAW
0.0%
0.752
0.000
0.376
0.376
0.000
0.752
0.752
0.000
0.000
26205110
3
0.03
Octopus,
cooked, NS as to
cooking method

0.835
RAW
0.0%
0.835
0.518
0.000
0.317
0.835
0.000
0.000
0.418
0.418
26205160
1
0.01
Octopus,
steamed

0.992
RAW
0.0%
0.992
0.615
0.000
0.377
0.992
0.000
0.000
0.496
0.496
26207110
4
0.04
Roe, shad,
cooked

0.913
RAW
0.0%
0.913
0.078
0.215
0.621
0.000
0.913
0.000
0.000
0.000
26211100
4
0.04
Roe, sturgeon

1.000
RAW
0.0%
1.000
0.085
0.235
0.680
0.000
1.000
0.000
0.000
0.000
26213120
13
0.14
Squid, baked,
broiled

0.963
RAW
0.0%
0.963
0.771
0.000
0.193
0.963
0.000
0.000
0.482
0.482
26213140
41
0.43
Squid, breaded,
fried

0.835
RAW
0.0%
0.835
0.668
0.000
0.167
0.835
0.000
0.000
0.418
0.418
26213160
1
0.01
Squid, steamed
or boiled

0.992
RAW
0.0%
0.992
0.793
0.000
0.198
0.992
0.000
0.000
0.496
0.496
26213170
5
0.05
Squid, dried

0.997
RAW
0.0%
0.997
0.798
0.000
0.199
0.997
0.000
0.000
0.499
0.499
26213190
1
0.01
Squid, canned

0.994
RAW
0.0%
0.994
0.795
0.000
0.199
0.994
0.000
0.000
0.497
0.497
26303100
3
0.03
Clams, raw

1.000
RAW
0.0%
1.000
0.840
0.000
0.160
1.000
0.000
1.000
0.000
0.000
26303110
6
0.06
Clams, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.702
0.000
0.134
0.835
0.000
0.835
0.000
0.000
26303120
8
0.08
Clams, baked or
broiled

0.935
RAW
0.0%
0.935
0.786
0.000
0.150
0.935
0.000
0.935
0.000
0.000
26303140
11
0.12
Clams, floured or
breaded, fried

0.837
RAW
0.0%
0.837
0.703
0.000
0.134
0.837
0.000
0.837
0.000
0.000
26303150
6
0.06
Clams, battered,
fried

0.754
RAW
0.0%
0.754
0.633
0.000
0.121
0.754
0.000
0.754
0.000
0.000
26303160
19
0.2
Clams, steamed
or boiled

0.992
RAW
0.0%
0.992
0.833
0.000
0.159
0.992
0.000
0.992
0.000
0.000
26303180
3
0.03
Clams, canned

1.000
RAW
0.0%
1.000
0.840
0.000
0.160
1.000
0.000
1.000
0.000
0.000
26305110
54
0.57
Crab, cooked, NS
as to cooking
method

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.361
0.000
0.961
0.000
1.322
0.000
1.322
0.000
26305120
18
0.19
Crab, baked or
broiled

0.935
COOKED
MOIST HEAT
25.0%
1.247
0.340
0.000
0.907
0.000
1.247
0.000
1.247
0.000
26305160
105
1.1
Crab, hard shell,
steamed

0.993
COOKED
MOIST HEAT
25.0%
1.325
0.362
0.000
0.963
0.000
1.325
0.000
1.325
0.000
B-9

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26307140
8
0.08
Crab, soft shell,
floured or
breaded, fried

0.680
COOKED
MOIST HEAT
25.0%
0.906
0.247
0.000
0.659
0.000
0.906
0.000
0.906
0.000
26309140
4
0.04
Crayfish, floured
or breaded, fried

0.755
RAW
0.0%
0.755
0.000
0.755
0.000
0.755
0.000
0.000
0.755
0.000
26309160
16
0.17
Crayfish, boiled
or steamed

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.000
1.322
0.000
1.322
0.000
0.000
1.322
0.000
26311110
9
0.09
Lobster, cooked,
NS as to cooking
method

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.058
0.000
1.264
1.322
0.000
0.000
1.322
0.000
26311120
12
0.13
Lobster, baked
or broiled

0.964
COOKED
MOIST HEAT
25.0%
1.285
0.057
0.000
1.228
1.285
0.000
0.000
1.285
0.000
26311160
13
0.14
Lobster,
steamed or
boiled

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.058 0.000
1.264
1.322
0.000
0.000
1.322
0.000
26313110
6
0.06
Mussels, cooked,
NS as to cooking
method

0.935
RAW
0.0%
0.935
0.000
0.000
0.935
0.935
0.000
0.935
0.000
0.000
26313160
20
0.21
Mussels,
steamed or
poached

0.992
RAW
0.0%
0,992
0.000
0.000
0.992
0.992
0.000
0.992
0.000
0.000
26315100
17
0.18
Oysters, raw

1.000
RAW
0.0%
1.000
0.000
0.000
1.000
0.000
1.000
1.000
0.000
0.000
26315110
2
0.02
Oysters, cooked,
NS as to cooking
method

0.855
RAW
0.0%
0.855
0.000
0.000
0.855
0.000
0.855
0.855
0.000
0.000
26315120
17
0.18
Oysters, baked
or broiled

0.935
RAW
0.0%
0.935
0.000
0.000
0.935
0.000
0.935
0.935
0.000
0.000
26315130
5
0.05
Oysters,
steamed

0.992
RAW
0.0%
0.992
0.000
0.000
0.992
0.000
0.992
0.992
0.000
0.000
26315140
21
0.22
Oysters, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.000
0.835
0.835
0.000
0.000
26315150
23
0.24
Oysters,
battered, fried

0.754
RAW
0.0%
0.754
0.000
0.000
0.754
0.000
0.754
0.754
0.000
0.000
26315180
5
0.05
Oysters, canned

1.000
CANNED
25.0%
1.333
0.000
0.000
1.333
0.000
1.333
1.333
0.000
0.000
26315190
3
0.03
Oysters, smoked

0.993
RAW
0.0%
0.993
0.000
0.000
0.993
0.000
0.993
0.993
0.000
0.000
26317110
11
0.12
Scallops, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.835
0.000
0.835
0.000
0.000
26317120
23
0.24
Scallops, baked
or broiled

0.963
RAW
0.0%
0.963
B 10
0.000
0.000
0.963
0.963
0.000
0.963
0.000
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26317130
2
0.02
Scallops,
steamed or
boiled

0.993
RAW
0.0%
0.993
0.000
0.000
0.993
0.993
0.000
0.993
0.000
0.000
26317140
12
0.13
Scallops, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.835
0.000
0.835
0.000
0.000
26317150
6
0.06
Scallops,
battered, fried

0.754
RAW
0.0%
0.754
0.000
0.000
0,754
0.754
0.000
0.754
0.000
0.000
26319110
251
2.63
Shrimp, cooked,
NS as to cooking
method

0.993
RAW
0.0%
0.993
0.175
0.000
0.819
0.993
0.000
0.497
0.497
0.000
26319120
325
3.4
Shrimp, baked or
broiled

0.963
RAW
0.0%
0.963
0.170
0.000
0.794
0.963
0.000
0.482
0.482
0.000
26319130
188
1.97
Shrimp, steamed
or boiled

0.993
RAW
0.0%
0.993
0.175
0.000
0.819
0.993
0.000
0.497
0.497
0.000
26319140
468
4.9
Shrimp, floured,
breaded, or
battered, fried

0.636
RAW
0.0%
0.636
0.112
0.000
0.524
0.636
0.000
0.318
0.318
0.000
26319170
8
0.08
Shrimp, dried

1.000
CANNED
25.0%
1.333
0.235
0.000
1.099
1.333
0.000
0.667
0.667
0.000
26319180
2
0.02
Shrimp, canned

1.000
CANNED
25.0%
1.333
0.235
0.000
1.099
1.333
0.000
0.667
0.667
0.000
26321110
3
0.03
Snails, cooked,
NS as to cooking
method

0.970
RAW
0.0%
0.970
0.436
0.097
0.436
0.000
0.970
0.970
0.000
0.000
27116400
1
0.01
Steak tarta re
(raw ground
beef and egg)

0.016
CANNED
25.0%
0.021
0.000
0.000
0.021
0.000
0.021
0.011
0.011
0.000
27150010
2
0.02
Fish with cream
or white sauce,
not tuna or
lobster (mixture)

0.351
CANNED
25.0%
0.468
0.468
0.000
0.000
0.000
0.468
0.000
0.234
0.234
27150020
3
0.03
Crab, deviled

0.471
COOKED
MOIST HEAT
25.0%
0.627
0.171
0.000
0.456
0.000
0.627
0.000
0.627
0.000
27150030
1
0.01
Crab imperial

0.574
COOKED
MOIST HEAT
25.0%
0.765
0.209
0.000
0.556
0.000
0.765
0.000
0.765
0.000
27150060
1
0.01
Lobster newburg

0.366
COOKED
MOIST HEAT
25.0%
0.488
0.021
0.000
0.466
0.488
0.000
0.000
0.488
0.000
27150070
2
0.02
Lobster with
butter sauce
(mixture)

0.773
COOKED
MOIST HEAT
25.0%
1.031
0.045
0.000
0.985
1.031
0.000
0.000
1.031
0.000
27150100
4
0.04
Shrimp curry

0.364
CANNED
25.0%
0.485
0.085
0.000
0.400
0.485
0.000
0.242
0.242
0.000
B-ll

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27150110
75
0.79
Shrimp cocktail
(shrimp with
cocktail sauce)

0.654
COOKED
MOIST HEAT
25.0%
0.872
0.153
0.000
0.719
0.872
0.000
0.436
0.436
0.000
27150120
1
0.01
Tuna with cream
or white sauce
(mixture)

0.342
CANNED
25.0%
0.456
0.456
0.000
0.000
0.000
0.456
0.000
0.000
0.456
27150130
11
0.12
Seafood
newburg
Crustaceans,
crab, blue,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.044
0.000
0.118
0.000
0.163
0.000
0.163
0.000
27150130


Seafood
newburg
Crustaceans,
lobster,
northern,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.007
0.000
0.155
0.163
0.000
0.000
0.163
0.000
27150130


Seafood
newburg
Crustaceans,
shrimp, mixed
species,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.029
0.000
0.134
0.163
0.000
0.081
0.081
0.000
27150140
3
0.03
Clam sauce,
white

0.653
CANNED
25.0%
0.871
0.732
0.000
0.139
0.871
0.000
0.871
0.000
0.000
27150160
3
0.03
Shrimp with
lobster sauce
(mixture)

0.472
CANNED
25.0%
0.629
0.111
0.000
0.519
0.629
0.000
0.315
0.315
0.000
27150170
8
0.08
Sweet and sour
shrimp

0.339
RAW
0.0%
0.339
0.060
0.000
0.279
0.339
0.000
0.169
0.169
0.000
27150200
10
0.1
Oyster sauce
(white sauce-
based)

0.494
CANNED
25.0%
0.659
0.000
0.000
0.659
0.000
0.659
0.659
0.000
0.000
27150210
47
0.49
Fish sauce
(bagoong)

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27150230
42
0.44
Shrimp scampi

0.819
CANNED
25.0%
1.091
0.192
0.000
0.899
1.091
0.000
0.546
0.546
0.000
27150310
13
0.14
Fish with
tomato-based
sauce (mixture)

0.653
RAW
0.0%
0.653
0.568
0.000
0.085
0.000
0.653
0.000
0.327
0.327
27150320
18
0.19
Fish curry

0.371
RAW
0.0%
0.371
0.371
0.000
0.000
0.000
0.371
0.000
0.186
0.186
27150330
1
0.01
Mussels with
tomato-based
sauce (mixture)

0.800
RAW
0.0%
0.800
0.000
0.000
0.800
0.800
0.000
0.800
0.000
0.000
B 12

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27150350
3
0.03
Sardines with
tomato-based
sauce (mixture)

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
27150370
2
0.02
Sardines with
mustard sauce
(mixture)

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
27150410
3
0.03
Shrimp teriyaki
(shrimp with
soy-based sauce)
(mixture)

0.880
COOKED
MOIST HEAT
25.0%
1.173
0.207
0.000
0.967
1.173
0.000
0.587
0.587
0.000
27150510
1
0.01
Scallops with
cheese sauce
(mixture)

0.497
STEAMED
21.0%
0.629
0.000
0.000
0.629
0.629
0.000
0.629
0.000
0.000
27151030
60
0.63
Marinated fish
(Ceviche)

0.534
RAW
0.0%
0.534
0.494
0.013
0.027
0.000
0.534
0.000
0.000
0.534
27151040
2
0.02
Crabs in tomato-
based sauce,
Puerto Rican
style (mixture)
(Salmorejo de
jueyes)

0.616
COOKED
MOIST HEAT
25.0%
0.822
0.224
0.000
0.598
0.000
0.822
0.000
0.822
0.000
27151050
5
0.05
Shrimp in garlic
sauce, Puerto
Rican style
(mixture)
(Camarones al
ajillo)

0.654
RAW
0.0%
0.654
0.115
0.000
0.539
0.654
0.000
0.327
0.327
0.000
27151070
2
0.02
Stewed codfish,
Puerto Rican
style, no
potatoes
(potatoes
reported
separately)

0.210
SALTED
30.0%
0.300
0.300
0.000
0.000
0.000
0.300
0.000
0.150
0.150
27250020
1
0.01
Clams, stuffed

0.530
RAW
0.0%
0.530
0.445
0.000
0.085
0.530
0.000
0.530
0.000
0.000
27250030
8
0.08
Codfish ball or
cake

0.442
CANNED
25.0%
0.589
0.589
0.000
0.000
0.000
0.589
0.000
0.295
0.295
27250040
78
0.82
Crab cake

0.686
COOKED
MOIST HEAT
25.0%
0.915
0.250
0.000
0.665
0.000
0.915
0.000
0.915
0.000
27250050
6
0.06
Fish cake or
patty, NS as to
fish

0.442
CANNED
25.0%
0.589
0.589
0.000
0.000
0.000
0.589
0.000
0.295
0.295
B 13

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27250070
103
1.08
Salmon cake or
patty

0.474
CANNED
25.0%
0.631
0.606
0.003
0.022
0.000
0.631
0.000
0.000
0.631
27250110
1
0.01
Scallops and
noodles with
cheese sauce
(mixture)

0.373
STEAMED
21.0%
0.472
0.000
0.000
0.472
0.472
0.000
0.472
0.000
0.000
27250120
18
0.19
Shrimp and
noodles, no
sauce (mixture)

0.339
CANNED
25.0%
0.452
0.080
0.000
0.373
0.452
0.000
0.226
0.226
0.000
27250122
1
0.01
Shrimp and
noodles with
gravy (mixture)

0.195
CANNED
25.0%
0.260
0.046
0.000
0.214
0.260
0.000
0.130
0.130
0.000
27250124
1
0.01
Shrimp and
noodles with
(mushroom)
soup (mixture)

0.215
CANNED
25.0%
0.287
0.050
0.000
0.236
0.287
0.000
0.143
0.143
0.000
27250126
13
0.14
Shrimp and
noodles with
cream or white
sauce (mixture)

0.198
CANNED
25.0%
0.264
0.047
0.000
0.218
0.264
0.000
0.132
0.132
0.000
27250128
4
0.04
Shrimp and
noodles with
soy-based sauce
(mixture)

0.221
CANNED
25.0%
0.294
0.052
0.000
0.242
0.294
0.000
0.147
0.147
0.000
27250130
50
0.52
Shrimp and
noodles with
cheese sauce
(mixture)

0.373
COOKED
MOIST HEAT
25.0%
0.498
0.088
0.000
0.410
0.498
0.000
0.249
0.249
0.000
27250132
19
0.2
Shrimp and
noodles with
tomato sauce
(mixture)

0.246
CANNED
25.0%
0.328
0.058
0.000
0.270
0.328
0.000
0.164
0.164
0.000
27250160
18
0.19
Tuna cake or
patty

0.489
CANNED
25.0%
0.652
0.652
0.000
0.000
0.000
0.652
0.000
0.000
0.652
27250210
2
0.02
Clam cake or
patty

0.509
CANNED
25.0%
0.679
0.570
0.000
0.109
0.679
0.000
0.679
0.000
0.000
27250220
1
0.01
Oyster fritter

0.510
RAW
0.0%
0.510
0.000
0.000
0.510
0.000
0.510
0.510
0.000
0.000
27250250
4
0.04
Flounder with
crab stuffing
FISH, FLATFISH
(FLOUNDER
AND SOLE
SPECIES), RAW
0.634
RAW
0.0%
0.634
0.552
0.000
0.082
0.000
0.634
0.000
0.317
0.317
B 14

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27250250


Flounder with
crab stuffing
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.159
COOKED
MOIST HEAT
25.0%
0.211
0.058
0.000
0.154
0.000
0.211
0.000
0.211
0.000
27250260
1
0.01
Lobster with
bread stuffing,
baked

0.686
COOKED
MOIST HEAT
25.0%
0.914
0.040
0.000
0.874
0.914
0.000
0.000
0.914
0.000
27250400
8
0.08
Shrimp cake or
patty

0.475
CANNED
25.0%
0.633
0.111
0.000
0.522
0.633
0.000
0.317
0.317
0.000
27250410
8
0.08
Shrimp with crab
stuffing
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.410
COOKED
MOIST HEAT
25.0%
0.546
0.149
0.000
0.397
0.000
0.546
0.000
0.546
0.000
27250410


Shrimp with crab
stuffing
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.376
RAW
0.0%
0.376
0.066
0.000
0.310
0.376
0.000
0.188
0.188
0.000
27250450
1
0.01
Shrimp toast,
fried

0.331
RAW
0.0%
0.331
0.058
0.000
0.273
0.331
0.000
0.166
0.166
0.000
27250510
1
0.01
Fish cake
(Kamaboko)
tempura

0.603
RAW
0.0%
0.603
0.603
0.000
0.000
0.000
0.603
0.000
0.301
0.301
27250520
59
0.62
Seafood
restructured

1.000
RESTRUCTUR
ED
25.0%
1,333
0.364
0.000
0.969
0.000
1.333
0.000
1.333
0.000
27250610
65
0.68
Tuna noodle
casserole with
cream or white
sauce

0.281
CANNED
25.0%
0.375
0.375
0.000
0.000
0.000
0.375
0.000
0.000
0.375
27250630
2
0.02
Tuna noodle
casserole with
(mushroom)
soup

0.278
CANNED
25.0%
0.371
0.371
0.000
0.000
0.000
0.371
0.000
0.000
0.371
27250810
4
0.04
Fish and rice
with tomato-
based sauce

0.195
CANNED
25.0%
0.261
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261
27250820
1
0.01
Fish and rice
with cream
sauce

0.196
CANNED
25.0%
0.261
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261
27250830
1
0.01
Fish and rice
with
(mushroom)
soup

0.195
CANNED
25.0%
0.261
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261
BIS

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27250900
5
0.05
Fish and noodles
with
(mushroom)
soup

0.218
CANNED
25.0%
0.291
0.291
0.000
0.000
0.000
0.291
0.000
0.000
0.291
27250950
5
0.05
Shellfish mixture
and noodles,
tomato-based
sauce (mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.076
CANNED
25.0%
0.102
0.018
0.000
0.084
0.102
0.000
0.051
0.051
0.000
27250950


Shellfish mixture
and noodles,
tomato-based
sauce (mixture)
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.076
RAW
0.0%
0.076
0.064
0.000
0.012
0.076
0.000
0.076
0.000
0.000
27250950


Shellfish mixture
MOLLUSKS,
0.076
RAW
0.0%
0.076
0.000
0.000
0.076
0.076
0.000
0.076
0.000
0.000



and noodles,
SCALLOP,














tomato-based
MIXED SPECIES,














sauce (mixture)
RAW












27350020
2
0.02
Paella with
seafood
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.021
RAW
0.0%
0.021
0.004
0.000
0.017
0.021
0.000
0.011
0.011
0.000
27350020


Paella with
seafood
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.102
RAW
0.0%
0.102
0.085
0.000
0.016
0.102
0.000
0.102
0.000
0.000
27350030
4
0.04
Seafood stew
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy), tomato-
base sauce
FISH, PERCH,
MIXED SPECIES,
RAW
0.081
RAW
0.0%
0.081
0.000
0.081
0.000
0.000
0.081
0.000
0.000
0.081
27350030


Seafood stew
with potatoes
and vegetables
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
0.081
COOKED
MOIST HEAT
25.0%
0.108
0.019
0.000
0.089
0.108
0.000
0.054
0.054
0.000
(excluding	COOKED,
carrots, broccoli, MOIST HEAT
and dark-green
leafy), tomato-
base sauce
B-16

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27350030


Seafood stew
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy), tomato-
base sauce
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.163
RAW
0.0%
0.163
0.137
0.000
0.026
0.163
0.000
0.163
0.000
0.000
27350050
17
0.18
Shrimp chow
mein or chop
suey with
noodles

0.191
CANNED
25.0%
0.254
0.045
0.000
0.210
0.254
0.000
0.127
0.127
0.000
27350060
32
0.34
Shrimp Creole,
with rice

0.369
CANNED
25.0%
0.492
0.087
0.000
0.406
0.492
0.000
0.246
0.246
0.000
27350080
16
0.17
Tuna noodle
casserole with
vegetables,
cream or white
sauce

0.161
CANNED
25.0%
0.215
0.215
0.000
0.000
0.000
0.215
0.000
0.000
0.215
27350110
18
0.19
Bouillabaisse
FISH, HALIBUT,
ATLANTIC AND
PACIFIC, RAW
0.103
RAW
0.0%
0.103
0.081
0.000
0.023
0.000
0.103
0.000
0.000
0.103
27350110


Bouillabaisse
FISH,
POMPANO,
FLORIDA, RAW
0.103
RAW
0.0%
0.103
0.068
0.000
0.035
0.000
0.103
0.000
0.000
0.103
27350110


Bouillabaisse
FISH, SNAPPER,
MIXED SPECIES,
RAW
0.103
RAW
0.0%
0.103
0.101
0.000
0.002
0.000
0.103
0.000
0.000
0.103
27350110


Bouillabaisse
CRUSTACEANS,
LOBSTER,
NORTHERN,
RAW
0.052
RAW
0.0%
0.052
0.002
0.000
0.049
0.052
0.000
0.000
0.052
0.000
27350110


Bouillabaisse
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.052
RAW
0.0%
0.052
0.009
0.000
0.043
0.052
0.000
0.026
0.026
0.000
27350110


Bouillabaisse
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.052
RAW
0.0%
0.052
0.043
0.000
0.008
0.052
0.000
0.052
0.000
0.000
27350110


Bouillabaisse
MOLLUSKS,
MUSSEL, BLUE,
RAW
0.052
RAW
0.0%
0.052
0.000
0.000
0.052
0.052
0.000
0.052
0.000
0.000
B 17

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27350110


Bouillabaisse
MOLLUSKS,
SCALLOP,
MIXED SPECIES,
RAW
0.103
RAW
0.0%
0.103
0.000
0.000
0.103
0.103
0.000
0.103
0.000
0.000
27350310
5
0.05
Seafood stew
with potatoes
and vegetables
FISH, PERCH,
MIXED SPECIES,
RAW
0.083
RAW
0.0%
0.083
0.000
0.083
0.000
0.000
0.083
0.000
0.000
0.083
(including
carrots, broccoli,
and/or dark-
green leafy),
tomato-base
sauce
27350310
Seafood stew
with potatoes
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy),
tomato-base
sauce
CRUSTACEANS, 0.083
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
COOKED	25.0%
MOIST HEAT
0.110 0.019	0.000	0.091	0.110	0.000	0.055	0.055	0.000
27350310
Seafood stew
with potatoes
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy),
tomato-base
sauce
MOLLUSKS,	0.166
CLAM, MIXED
SPECIES, RAW
RAW
0.0%	0.166 0.139	0.000	0.026	0.166	0.000	0.166	0.000	0.000
27350410 3	0.03
Tuna noodle
casserole with
vegetables and
(mushroom)
soup	
0.238
CANNED	25.0%	0.317 0.317	0.000	0.000	0.000	0.317	0.000	0.000	0.317
27360080 5	0.05
Chow mein or
chop suey, NS as
to type of meat,
with noodles
0.057	CANNED	25.0%	0.076 0.013	0.000	0.062	0.076	0.000	0.038	0.038	0.000
27360090 9	0.09	Paella, NFS
CRUSTACEANS, 0.025
SHRIMP, MIXED
SPECIES, RAW
RAW
0.0%	0.025 0.004	0.000	0.021	0.025	0.000	0.013	0.013	0.000
B-18

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27360090


Paella, NFS
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.105
RAW
0.0%
0.105
0.088
0.000
0.017
0.105
0.000
0.105
0.000
0.000
27363000
55
0.58
Gumbo with rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra,
rice)
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.017
COOKED
MOIST HEAT
25.0%
0.023
0.006
0.000
0.017
0.000
0.023
0.000
0.023
0.000
27363000


Gumbo with rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra,
rice)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.017
RAW
0.0%
0.017
0.003
0.000
0.014
0.017
0.000
0.008
0.008
0.000
27363000


Gumbo with rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra,
rice)
MOLLUSKS,
OYSTER,
EASTERN,
WILD, RAW
0.048
RAW
0.0%
0.048
0.000
0.000
0.048
0.000
0.048
0.048
0.000
0.000
27420200
1
0.01
Pork hash,
Hawaiian style-
ground pork,
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce

0.063
RAW
0.0%
0.063
0.011
0.000
0.052
0.063
0.000
0.031
0.031
0.000
27450010
20
0.21
Crab salad

0.642
COOKED
MOIST HEAT
25.0%
0.856
0.234
0.000
0.622
0.000
0.856
0.000
0.856
0.000
27450020
4
0.04
Lobster salad

0.204
COOKED
MOIST HEAT
25.0%
0.272
0.012
0.000
0.260
0.272
0.000
0.000
0.272
0.000
27450030
15
0.16
Salmon salad

0.526
CANNED
25.0%
0.701
0.673
0.004
0.025
0.000
0.701
0.000
0.000
0.701
27450040
6
0.06
Shrimp chow
mein or chop
suey, no noodles

0.214
CANNED
25.0%
0.285
B-19
0.050
0.000
0.235
0.285
0.000
0.142
0.142
0.000

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450060
742
7.77
Tuna salad

0.546
CANNED
25.0%
0.728
0.728
0.000
0.000
0.000
0.728
0.000
0.000
0.728
27450070
16
0.17
Shrimp salad

0.620
CANNED
25.0%
0.827
0.146
0.000
0.681
0.827
0.000
0.413
0.413
0.000
27450080
38
0.4
Seafood salad
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.200
CANNED
25.0%
0.266
0.073
0.000
0.194
0.000
0.266
0.000
0.266
0.000
27450080


Seafood salad
CRUSTACEANS,
LOBSTER,
NORTHERN,
COOKED,
MOIST HEAT
0.200
COOKED
MOIST HEAT
25.0%
0.266
0.012
0.000
0.255
0.266
0.000
0.000
0.266
0.000
27450080


Seafood salad
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.200
CANNED
25.0%
0.266
0.047
0.000
0.219
0.266
0.000
0.133
0.133
0.000
27450090
17
0.18
Tuna salad with
cheese

0.466
CANNED
25.0%
0.621
0.621
0.000
0.000
0.000
0.621
0.000
0.000
0.621
27450100
123
1.29
Tuna salad with
egg

0.473
CANNED
25.0%
0.630
0.630
0.000
0.000
0.000
0.630
0.000
0.000
0.630
27450120
2
0.02
Shrimp garden
salad (shrimp,
lettuce, eggs,
vegetables
excluding
tomato and
carrots), no
dressing

0.428
CANNED
25.0%
0.571
0.100
0.000
0.470
0.571
0.000
0.285
0.285
0.000
27450130
17
0.18
Crab salad made
with imitation
crab

0.642
RESTRUCTUR
ED
25.0%
0.856
0.445
0.137
0.274
0.000
0.856
0.000
0.428
0.428
27450150
2
0.02
Fish, tofu, and
vegetables,
tempura,
Hawaiian style
(mixture)

0.060
CANNED
25.0%
0.079
0.014
0.000
0.065
0.079
0.000
0.040
0.040
0.000
27450180
1
0.01
Seafood garden
salad with
seafood, lettuce,
vegetables
excluding
tomato and
carrots, no
dressing
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.150
CANNED
25.0%
0.200
0.055
0.000
0.145
0.000
0.200
0.000
0.200
0.000
B 20

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450180


Seafood garden
salad with
seafood, lettuce,
vegetables
excluding
tomato and
carrots, no
dressing
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.150
CANNED
25.0%
0.200
0.035
0.000
0.165
0.200
0.000
0.100
0.100
0.000
27450310
2
0.02
Lomi salmon

0.349
CANNED
25.0%
0.466
0.447
0.002
0.016
0.000
0.466
0.000
0.000
0.466
27450400
16
0.17
Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), no
sauce (mixture)

0.241
STEAMED
21.0%
0.305
0.054
0.000
0.252
0.305
0.000
0.153
0.153
0.000
27450405
16
0.17
Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), no
sauce (mixture)

0.374
STEAMED
21.0%
0.473
0.083
0.000
0.390
0.473
0.000
0.236
0.236
0.000
27450410
99
1.04
Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450410


Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.322
COOKED
MOIST HEAT
25.0%
0.430
0.076
0.000
0.354
0.430
0.000
0.215
0.215
0.000
B 21

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27450420
27
0.28
Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450420


Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
(mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.327
COOKED
MOIST HEAT
25.0%
0.435
0.077
0.000
0.359
0.435
0.000
0.218
0.218
0.000
27450430
6
0.06
Shrimp shish
kabob with
vegetables,
excluding
potatoes

0.383
BAKED
25.0%
0.510
0.090
0.000
0.420
0.510
0.000
0.255
0.255
0.000
27450450
19
0.2
Shrimp Creole,
no rice

0.510
STEAMED
21.0%
0.645
0.114
0.000
0.532
0.645
0.000
0.323
0.323
0.000
27450470
5
0.05
Kung Pao shrimp

0.623
RAW
0.0%
0.623
0.110
0.000
0.514
0.623
0.000
0.312
0.312
0.000
27450510
2
0.02
Tuna casserole
with vegetables
and (mushroom)
soup, no noodles

0.321
CANNED
25.0%
0.428
0.428
0.000
0.000
0.000
0.428
0.000
0.000
0.428
27450600
2
0.02
Shellfish mixture
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
B 22

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450600


Shellfish mixture
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.161
COOKED
MOIST HEAT
25.0%
0.215
0.038
0.000
0.177
0.215
0.000
0.107
0.107
0.000
27450600


Shellfish mixture
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.161
CANNED
25.0%
0.215
0.180
0.000
0.034
0.215
0.000
0.215
0.000
0.000
27450610
1
0.01
Shellfish mixture
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450610


Shellfish mixture
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.163
COOKED
MOIST HEAT
25.0%
0.218
0.038
0.000
0.179
0.218
0.000
0.109
0.109
0.000
27450610


Shellfish mixture
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.163
CANNED
25.0%
0.218
0.183
0.000
0.035
0.218
0.000
0.218
0.000
0.000
B 23

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450650
1
0.01
Shellfish mixture
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)),
(mushroom)
soup (mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.133
RAW
0.0%
0.133
0.023
0.000
0.110
0.133
0.000
0.066
0.066
0.000
27450650


Shellfish mixture
MOLLUSKS,
0.133
RAW
0.0%
0.133
0.112
0.000
0.021
0.133
0.000
0.133
0.000
0.000



and vegetables
CLAM, MIXED














(including
SPECIES, RAW















carrots, broccoli,
















and/or dark-
















green leafy (no
















potatoes)),
















(mushroom)
















soup (mixture)













27450660
1
0.01
Shellfish mixture
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)),
(mushroom)
soup (mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.127
RAW
0.0%
0.127
0.022
0.000
0.105
0.127
0.000
0.064
0.064
0.000
27450660


Shellfish mixture
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)),
(mushroom)
soup (mixture)
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.179
CANNED
25.0%
0.239
0.201
0.000
0.038
0.239
0.000
0.239
0.000
0.000
27450700
8
0.08
Fish and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)),

0.560
RAW
0.0%
0.560
0.487
0.000
0.073
0.000
0.560
0.000
0.280
0.280
B 24

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





tomato-based
sauce (mixture)
27450710 14	0.15
Fish and
vegetables
(excluding
carrots, broccoli,
and dark- green
leafy (no
potatoes)),
tomato-based
sauce (mixture)
0.555	RAW	0.0%	0.555 0.483	0.000	0.072	0.000	0.555	0.000	0.277	0.277
27450740 5	0.05
Fish and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000	SOUP	25.0%	0.000 0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
27450740
Fish and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)	
FISH, COD,
ATLANTIC,
COOKED, DRY
HEAT
0.336
COOKED DRY 25.0%
HEAT
0.449 0.449	0.000	0.000	0.000	0.449	0.000	0.224	0.224
27450750 9	0.09
Fish and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000	SOUP	25.0%	0.000 0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
B-25

-------
Food	Number	Percent Main food
code	of	of total description
records	fish
in data	records
Fish ingredient	Proportion
description, if	of recipe
multiple	that is fish
ingredients	ingredient
Pre-	Moisture	Multipl	Multiplier	Multiplier	Multiplier
processing	loss due to	ier for	for marine	for	for
offish	pre-	Total	fish	freshwater	estuarine
ingredient	processing	Fish	fish	fish
Multiplier Multiplier
for shellfish forfinfish
Multiplier Multiplier
for trophic for trophic
level Iฃ.	level 3
Multiplier
for trophic
14
27450750
Fish and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
FISH, COD,
ATLANTIC,
COOKED, DRY
HEAT
0.341
COOKED DRY 25.0%
HEAT
0.454 0.454
0.000
0.000
0.000
0.454
0.000
0.227
0.227
27451030
1
0.01
Lobster with

0.422
RAW
0.0%
0.422
0.019
0.000
0.403
0.422
0.000
0.000
0.422
0.000



sauce, Puerto















Rican style
















(Langosta a la
















criolla)













27460510
16
0.17
Antipasto with
ham, fish,
cheese,
vegetables

0.065
CANNED
25.0%
0.087
0.000
0.000
0.087
0.000
0.087
0.043
0.043
0.000
27464000
41
0.43
Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.019
COOKED
MOIST HEAT
25.0%
0.025
0.007
0.000
0.018
0.000
0.025
0.000
0.025
0.000
27464000


Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.018
RAW
0.0%
0.018
0.003
0.000
0.015
0.018
0.000
0.009
0.009
0.000
27464000


Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
MOLLUSKS,
OYSTER,
EASTERN,
WILD, RAW
0.052
RAW
0.0%
0.052
0.000
0.000
0.052
0.000
0.052
0.052
0.000
0.000
27550000
55
0.58
Fish sandwich,
on bun, with
spread

0.208
PREHEATED
25.0%
0.277
0.144
0.044
0.089
0.000
0.277
0.000
0.139
0.139
27550100
115
1.2
Fish sandwich,
on bun, with
cheese and
spread

0.173
PREHEATED
25.0%
0.230
0.120
0.037
0.074
0.000
0.230
0.000
0.115
0.115
B-26

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27550720
2
0.02
Tuna salad
sandwich

0.358
CANNED
25.0%
0.477
0.477
0.000
0.000
0.000
0.477
0.000
0.000
0.477
27550750
61
0.64
Tuna salad
submarine
sandwich, with
lettuce and
tomato

0.240
CANNED
25.0%
0.319
0.319
0.000
0.000
0.000
0.319
0.000
0.000
0.319
27550751
11
0.12
Tuna salad
submarine
sandwich, with
cheese, lettuce
and tomato

0.217
CANNED
25.0%
0.289
0.289
0.000
0.000
0.000
0.289
0.000
0.000
0.289
28120310
2
0.02
Pork with rice,

0.010
COOKED
25.0%
0.013
0.000
0.000
0.013
0.000
0.013
0.013
0.000
0.000



vegetable, in


MOIST HEAT












soy-based sauce
















(diet frozen
















meal)













28150000
1
0.01
Fish dinner, NFS
(frozen meal)

0.242
PREHEATED
25.0%
0.323
0.168
0.052
0.103
0.000
0.323
0.000
0.161
0.161
28150210
5
0.05
Haddock with
chopped spinach
(diet frozen
meal)

0.414
RAW
0.0%
0.414
0.391
0.021
0.002
0.000
0.414
0.000
0.207
0.207
28150220
2
0.02
Flounder with
chopped broccoli
(diet frozen
meal)

0.348
RAW
0.0%
0.348
0.302
0.000
0.045
0.000
0.348
0.000
0.174
0.174
28150510
3
0.03
Fish in lemon-
butter sauce
with starch item,
vegetable
(frozen meal)

0.240

0.0%
0.240
0.240
0.000
0.000
0.000
0.240
0.000
0.120
0.120
28150650
7
0.07
Fish, breaded, or
fish sticks, with
pasta, vegetable
and dessert
(frozen meal)

0.082
PREHEATED
25.0%
0.109
0.057
0.017
0.035
0.000
0.109
0.000
0.054
0.054
28152030
1
0.01
Seafood
newburg with
rice, vegetable
(frozen meal)
CRUSTACEANS,
LOBSTER,
NORTHERN,
COOKED,
MOIST HEAT
0.010
COOKED
MOIST HEAT
25.0%
0.013
0.001
0.000
0.013
0.013
0.000
0.000
0.013
0.000
B 27

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
28152030


Seafood
new burg with
rice, vegetable
(frozen meal)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.080
CANNED
25.0%
0.107
0.019
0.000
0.088
0.107
0.000
0.053
0.053
0.000
28152030


Seafood
new burg with
rice, vegetable
(frozen meal)
CODFISH BALL
OR CAKE
0.053
BAKED
25.0%
0.071
0.071
0.000
0.000
0.000
0.071
0.000
0.035
0.035
28152050
5
0.05
Shrimp with rice,
vegetable
(frozen meal)

0.095
CANNED
25.0%
0.127
0.022
0.000
0.105
0.127
0.000
0.063
0.063
0.000
28154010
5
0.05
Shrimp and
vegetables in
sauce with
noodles (diet
frozen meal)

0.139
CANNED
25.0%
0.185
0.033
0.000
0.153
0.185
0.000
0.093
0.093
0.000
28310330
27
0.28
Beef and rice
noodle soup,
Oriental style
(Vietnamese Pho
Bo)

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28320300
8
0.08
Pork with
vegetable
(excluding
carrots, broccoli
and/or dark-
green leafy)
soup, Oriental
Style

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28350040
1
0.01
Fish stock, home
recipe

0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28350050
16
0.17
Fish chowder

0.325
RAW
0.0%
0.325
0.325
0.000
0.000
0.000
0.325
0.000
0.162
0.162
28350110
6
0.06
Crab soup, NS as
to tomato-base
or cream style

0.222
COOKED
MOIST HEAT
25.0%
0.296
0.081
0.000
0.215
0.000
0.296
0.000
0.296
0.000
28350120
1
0.01
Crab soup,
tomato-base

0.221
COOKED
MOIST HEAT
25.0%
0.295
0.080
0.000
0.214
0.000
0.295
0.000
0.295
0.000
28350210
15
0.16
Clam chowder,
NS as to
Manhattan or

0.399
CANNED
25.0%
0.532
0.447
0.000
0.085
0.532
0.000
0.532
0.000
0.000
B-28

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
New England
style
28350220
10
0.1
Clam chowder,
Manhattan

0.311
CANNED
25.0%
0.415
0.348
0.000
0.066
0.415
0.000
0.415
0.000
0.000
28351110
51
0.53
Fish and
vegetable soup,
no potatoes
(Sopa de
pescado)

0.227
RAW
0.0%
0.227
0.227
0.000
0.000
0.000
0.227
0.000
0.114
0.114
28351120
15
0.16
Fish soup, with
potatoes (Sopa
de Pescado)

0.237
RAW
0.0%
0.237
0.237
0.000
0.000
0.000
0.237
0.000
0.118
0.118
28355110
71
0.74
Clam chowder,
New England, NS
as to prepared
with water or
milk

0.399
CANNED
25.0%
0.532
0.447
0.000
0.085
0.532
0.000
0.532
0.000
0.000
28355120
11
0.12
Clam chowder,
New England,
prepared with
milk

0.507
CANNED
25.0%
0.676
0.567
0.000
0.108
0.676
0.000
0.676
0.000
0.000
28355130
8
0.08
Clam chowder,
New England,
prepared with
water

0.405
CANNED
25.0%
0.540
0.454
0.000
0.086
0.540
0.000
0.540
0.000
0.000
28355140
33
0.35
Clam chowder,
New England,
canned, reduced
sodium, ready-
to-serve

0.402
CANNED
25.0%
0.536
0.450
0.000
0.086
0.536
0.000
0.536
0.000
0.000
28355210
4
0.04
Crab soup,
cream of,
prepared with
milk

0.267
COOKED
MOIST HEAT
25.0%
0.356
0.097
0.000
0.259
0.000
0.356
0.000
0.356
0.000
28355250
8
0.08
Lobster bisque

0.238
COOKED
MOIST HEAT
25.0%
0.317
0.014
0.000
0.303
0.317
0.000
0.000
0.317
0.000
28355310
11
0.12
Oyster stew

0.322
RAW
0.0%
0.322
0.000
0.000
0.322
0.000
0.322
0.322
0.000
0.000
28355350
2
0.02
Salmon soup,
cream style

0.452
CANNED
25.0%
0.602
0.578
0.003
0.021
0.000
0.602
0.000
0.000
0.602
B-29

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





28355410
14
0.15
Shrimp soup,
cream of, NS as
to prepared with
milk or water

0.031
CANNED
25.0%
0.041
0.007
0.000
0.034
0.041
0.000
0.020
0.020
0.000
28355420
1
0.01
Shrimp soup,
cream of,
prepared with
milk

0.239
CANNED
25.0%
0.319
0.056
0.000
0.263
0.319
0.000
0.159
0.159
0.000
28355430
10
0.1
Shrimp soup,
cream of,
prepared with
water

0.031
CANNED
25.0%
0.041
0.007
0.000
0.034
0.041
0.000
0.020
0.020
0.000
28355440
3
0.03
Shrimp gumbo

0.108
CANNED
25.0%
0.144
0.025
0.000
0.118
0.144
0.000
0.072
0.072
0.000
28355450
48
0.5
Seafood soup
with potatoes
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy)

0.117
RAW
0.0%
0.117
0.117
0.000
0.000
0.000
0.117
0.000
0.059
0.059
28355460
13
0.14
Seafood soup
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy)

0.115
RAW
0.0%
0.115
0.115
0.000
0.000
0.000
0.115
0.000
0.058
0.058
28355470
30
0.31
Seafood soup
with vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes))

0.119
RAW
0.0%
0.119
0.119
0.000
0.000
0.000
0.119
0.000
0.059
0.059
28355480
29
0.3
Seafood soup

0.116
RAW
0.0%
0.116
0.116
0.000
0.000
0.000
0.116
0.000
0.058
0.058
with vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes))
B-30

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





32105013
1
0.01
Egg omelet or
scrambled egg,
with seafood

0.171
COOKED
MOIST HEAT
25.0%
0.228
0.040
0.000
0.188
0.228
0.000
0.114
0.114
0.000
32105020
10
0.1
Egg omelet or
scrambled egg,
with fish

0.149
CANNED
25.0%
0.199
0.191
0.001
0.007
0.000
0.199
0.000
0.000
0.199
32105230
14
0.15
Shrimp egg foo
yung (young)

0.110
CANNED
25.0%
0.147
0.026
0.000
0.121
0.147
0.000
0.073
0.073
0.000
32110150
1
0.01
Shrimp-egg patty

0.356
DRIED
80.0%
1.781
0.313
0.000
1.467
1.781
0.000
0.890
0.890
0.000



(Torta de















Cameron seco)













54406200
10
0.1
Shrimp chips
(tapioca base)

0.250
CANNED
25.0%
0.333
0.059
0.000
0.275
0.333
0.000
0.167
0.167
0.000
58100900
1
0.01
Enchilada with
seafood,
tomato-based
sauce

0.281
CANNED
25.0%
0.375
0.066
0.000
0.309
0.375
0.000
0.187
0.187
0.000
58101540
21
0.22
Taco ortostada
with fish,
lettuce, tomato,
salsa
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.196
CANNED
25.0%
0.262
0.071
0.000
0.190
0.000
0.262
0.000
0.262
0.000
58101540


Taco ortostada
with fish,
lettuce, tomato,
salsa
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.196
CANNED
25.0%
0.262
0.046
0.000
0.216
0.262
0.000
0.131
0.131
0.000
58106910
4
0.04
Pizza with
seafood, thin
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
MADE FROM
SURIMI
0.065
RESTRUCTUR
ED
25.0%
0.087
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000
58106910


Pizza with
seafood, thin
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58106915
2
0.02
Pizza with
seafood, regular
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
0.065
RESTRUCTUR
ED
25.0%
0.087
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000
B-31

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
MADE FROM
SURIMI
58106915


Pizza with
seafood, regular
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58106920
1
0.01
Pizza with
seafood, thick
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
MADE FROM
SURIMI
0.065
RESTRUCTUR
ED
25.0%
0.087
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000
58106920


Pizza with
seafood, thick
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58110120
61
0.64
Egg roll, with
shrimp

0.091
COOKED
MOIST HEAT
25.0%
0.121
0.021
0.000
0.100
0.121
0.000
0.061
0.061
0.000
58111200
31
0.32
Puffs, fried, crab
meat and cream
cheese filled

0.183
RESTRUCTUR
ED
25.0%
0.245
0.127
0.039
0.078
0.000
0.245
0.000
0.122
0.122
58112510
45
0.47
Dumpling,
steamed, filled
with meat,
poultry, or
seafood

0.138
RAW
0.0%
0.138
0.024
0.000
0.114
0.138
0.000
0.069
0.069
0.000
58117410
15
0.16
Codfish fritter,
Puerto Rican
style (Bacalaitos
fritos)

0.103
SALTED
30.0%
0.147
0.147
0.000
0.000
0.000
0.147
0.000
0.073
0.073
58120110
3
0.03
Crepes, filled
with meat, fish,
or poultry, with
sauce

0.107
CANNED
25.0%
0.143
0.143
0.000
0.000
0.000
0.143
0.000
0.000
0.143
58128210
7
0.07
Dressing with
oysters

0.246
RAW
0.0%
0.246
B 32
0.000
0.000
0.246
0.000
0.246
0.246
0.000
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ier for
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
58132800
8
0.08
Spaghetti with
clam sauce, NS
as to red or
white

0.296
COOKED
MOIST HEAT
25.0%
0.395
0.331
0.000
0.063
0.395
0.000
0.395
0.000
0.000
58132810
3
0.03
Spaghetti with
red clam sauce

0.236
CANNED
25.0%
0.314
0.264
0.000
0.050
0.314
0.000
0.314
0.000
0.000
58132820
4
0.04
Spaghetti with
white clam sauce

0.296
COOKED
MOIST HEAT
25.0%
0.395
0.331
0.000
0.063
0.395
0.000
0.395
0.000
0.000
58136130
64
0.67
Lo mein, with
shrimp

0.084
COOKED
MOIST HEAT
25.0%
0.112
0.020
0.000
0.092
0.112
0.000
0.056
0.056
0.000
58137210
5
0.05
Pad Thai, NFS
SAUCE, FISH,
READY-TO-
SERVE
0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137210


Pad Thai, NFS
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.063
RAW
0.0%
0.063
0.011
0.000
0.052
0.063
0.000
0.032
0.032
0.000
58137220
11
0.12
Pad Thai,
meatless

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137230
23
0.24
Pad Thai with
chicken

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137240
11
0.12
Pad Thai with
seafood
SAUCE, FISH,
READY-TO-
SERVE
0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137240


Pad Thai with
seafood
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.190
RAW
0.0%
0.190
0.034
0.000
0.157
0.190
0.000
0.095
0.095
0.000
58137250
6
0.06
Pad Thai with
meat

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58145120
46
0.48
Macaroni or
noodles with
cheese and tuna

0.226
CANNED
25.0%
0.301
0.301
0.000
0.000
0.000
0.301
0.000
0.000
0.301
58147340
7
0.07
Macaroni,
creamed, with
cheese and tuna

0.217
CANNED
25.0%
0.289
0.289
0.000
0.000
0.000
0.289
0.000
0.000
0.289
58148130
45
0.47
Macaroni or
pasta salad with
tuna

0.152
CANNED
25.0%
0.203
0.203
0.000
0.000
0.000
0.203
0.000
0.000
0.203
58148140
8
0.08
Macaroni or
pasta salad with
crab meat

0.136
COOKED
MOIST HEAT
25.0%
0.181
0.049
0.000
0.132
0.000
0.181
0.000
0.181
0.000
B 33

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





58148150
21
0.22
Macaroni or
pasta salad with
shrimp

0.130
CANNED
25.0%
0.173
0.030
0.000
0.142
0.173
0.000
0.086
0.086
0.000
58148160
30
0.31
Macaroni or

0.169
CANNED
25.0%
0.225
0.225
0.000
0.000
0.000
0.225
0.000
0.000
0.225



pasta salad with
tuna and egg












58150510
230
2.41
Rice, fried, with
shrimp

0.150
COOKED
MOIST HEAT
25.0%
0.200
0.035
0.000
0.165
0.200
0.000
0.100
0.100
0.000
58151100
16
0.17
Sushi, NFS

0.089
RAW
0.0%
0.089
0.070
0.000
0.020
0.000
0.089
0.000
0.000
0.089
58151130
155
1.62
Sushi, with
vegetables and
seafood

0.152
RAW
0.0%
0.152
0.132
0.000
0.020
0.000
0.152
0.000
0.076
0.076
58151150
10
0.1
Sushi, with

0.158
RAW
0.0%
0.158
0.137
0.000
0.020
0.000
0.158
0.000
0.079
0.079



seafood, no















vegetables













58155320
3
0.03
Seafood paella,
Puerto Rican
style
FISH, SNAPPER,
MIXED SPECIES,
RAW
0.034
RAW
0.0%
0.034
0.033
0.000
0.001
0.000
0.034
0.000
0.000
0.034
58155320


Seafood paella,
Puerto Rican
style
CRUSTACEANS,
LOBSTER,
NORTHERN,
RAW
0.068
RAW
0.0%
0.068
0.003
0.000
0.065
0.068
0.000
0.000
0.068
0.000
58155320


Seafood paella,
Puerto Rican
style
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.137
RAW
0.0%
0.137
0.024
0.000
0.113
0.137
0.000
0.068
0.068
0.000
58155320


Seafood paella,
Puerto Rican
style
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.018
RAW
0.0%
0.018
0.015
0.000
0.003
0.018
0.000
0.018
0.000
0.000
58304400
1
0.01
Linguini with
vegetables and
seafood in white
wine sauce (diet
frozen meal)
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.120
CANNED
25.0%
0.160
0.134
0.000
0.026
0.160
0.000
0.160
0.000
0.000
58304400


Linguini with
vegetables and
seafood in white
wine sauce (diet
frozen meal)
MOLLUSKS,
SCALLOP, (BAY
AND SEA),
COOKED,
STEAMED
0.120
STEAMED
21.0%
0.152
0.000
0.000
0.152
0.152
0.000
0.152
0.000
0.000
B 34

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ier for
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





58407050
15
0.16
Instant soup,
noodle with egg,
shrimp or
chicken

0.010
CANNED
25.0%
0.014
0.002
0.000
0.011
0.014
0.000
0.007
0.007
0.000
58409000
16
0.17
Noodle soup,
with fish ball,
shrimp, and dark
green leafy
vegetable
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.026
COOKED
MOIST HEAT
25.0%
0.035
0.006
0.000
0.029
0.035
0.000
0.017
0.017
0.000
58409000


Noodle soup,
CODFISH BALL
0.066
BAKED
25.0%
0.088
0.088
0.000
0.000
0.000
0.088
0.000
0.044
0.044



with fish ball,
OR CAKE














shrimp, and dark
















green leafy
















vegetable













72116140
7
0.07
Caesar salad
(with romaine)

0.038
CANNED
25.0%
0.051
0.000
0.000
0.051
0.000
0.051
0.025
0.025
0.000
72308000
10
0.1
Dark-green leafy
vegetable soup
with meat,
Oriental style

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
75146000
1
0.01
Greek Salad

0.032
CANNED
25.0%
0.042
0.000
0.000
0.042
0.000
0.042
0.021
0.021
0.000
B-35

-------
Appendix C
Usual Fish Consumption Rate Tables

-------
Table of Contents
Table	Page
Table C-l. Total finfish and shellfish usual fish consumption rate estimates,
all ages	 C-l
Table C-2. Total finfish and shellfish usual fish consumption rate estimates,
adults >21 years	 C-3
Table C-3. Total finfish and shellfish usual fish consumption rate estimates,
youth <21 years	 C-5
Table C-4. Total finfish usual fish consumption rate estimates, all ages	 C-7
Table C-5. Total finfish usual fish consumption rate estimates, adults >21
years	 C-9
Table C-6. Total finfish usual fish consumption rate estimates, youth <21
years	 C-ll
Table C-7. Total shellfish usual fish consumption rate estimates, all ages	 C-13
Table C-8. Total shellfish usual fish consumption rate estimates, adults >21
years		 C-l 5
Table C-9. Total shellfish usual fish consumption rate estimates, youth <21
years					 C-17
Table C-10. Marine fish usual fish consumption rate estimates, all ages	 C-19
Table C-ll. Marine fish usual fish consumption rate estimates, adults >21
years	 C-21
Table C-12. Marine fish usual fish consumption rate estimates, youth <21
years			 C-23
Table C-13. Freshwater fish usual fish consumption rate estimates, all ages	 C -25
Table C-14. Freshwater fish usual fish consumption rate estimates, adults >21
years			 C-27
Table C-l5. Freshwater fish usual fish consumption rate estimates, youth <21
years	 C-29
Table C-16. Estuarine fish usual fish consumption rate estimates, all ages	 C-31
Table C-17. Estuarine fish usual fish consumption rate estimates, adults >21
years			 C-33
Table C-18. Estuarine fish usual fish consumption rate estimates, youth >21
years			 C-35
Table C-19. Freshwater + estuarine fish usual fish consumption rate
estimates, all ages	 C-37
Table C-20. Freshwater + estuarine fish usual fish consumption rate
estimates, adults >21 years	 C-39
Table C-21. Freshwater + estuarine fish usual fish consumption rate
estimates, youth <21 years	 C-41
Table C-22. Marine + freshwater fish usual fish consumption rate estimates,
all ages	 C-43
Table C-23. Marine + freshwater fish usual fish consumption rate estimates,
adults >21 years	 C-45
Table C-24. Marine + freshwater fish usual fish consumption rate estimates,
youth <21 years	 C-47
Table C -25. Marine + estuarine fish usual fish consumption rate estimates, all
ages	 C-49
Table C-26. Marine + estuarine fish usual fish consumption rate estimates,
adults >21 years	 C-51
Table C-27. Marine + estuarine fish usual fish consumption rate estimates,
youth <21 years	 C-53
Table C-28. Trophic level 2 fish usual fish consumption rate estimates, all
ages	 C -55
Table C-29. Trophic level 2 fish usual fish consumption rate estimates, adults
>21 years	 C-57
Table C-30. Trophic level 2 fish usual fish consumption rate estimates, youth
<21 years	 C-59
Table C-31. Trophic level 3 fish usual fish consumption rate estimates, all
ages	 C-61

-------
Table of Contents
(continued)
Table	Page
Table C-32. Trophic level 3 fish usual fish consumption rate estimates, adults
>21 years	 C-63
Table C-33. Trophic level 3 fish usual fish consumption rate estimates, youth
<21 years	 C-65
Table C-34. Trophic level 4 fish usual fish consumption rate estimates, all
ages	 C-67
Table C-35. Trophic level 4 fish usual fish consumption rate estimates, adults
>21 years	 C-69
Table C-36. Trophic level 4 fish usual fish consumption rate estimates, youth
<21 years	 C-71
Table C-37. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, all ages	 C-73
Table C-38. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years	 C-75
Table C-39. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years			 C-77
Table C-40. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, all ages			 C-79
Table C-41. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years....			 C-81
Table C-42. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years	 C-83
Table C-43. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, all ages		 C-85
Table C-44. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years	 C-87
Table C-45. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years	 C-89
Table C-46. Trophic level 2 marine fish usual fish consumption rate estimates,
all ages			 C-91
Table C-47. Trophic level 2 marine fish usual fish consumption rate estimates,
adults >21 years	 C-93
Table C-48. Trophic level 2 marine fish usual fish consumption rate estimates,
youth <21 years	 C-95
Table C-49. Trophic level 3 marine fish usual fish consumption rate estimates,
all ages	 C-97
Table C-50. Trophic level 3 marine fish usual fish consumption rate estimates,
adults >21 years	 C-99
Table C-51. Trophic level 3 marine fish usual fish consumption rate estimates,
youth <21 years	 C-101
Table (52. Trophic level 4 marine fish usual fish consumption rate estimates,
all ages	 C-103
Table C-53. Trophic level 4 marine fish usual fish consumption rate estimates,
adults >21 years	 C-105
Table C-54. Trophic level 4 marine fish usual fish consumption rate estimates,
youth <21 years	 C-107
Table C-55 Percent reporting fish consumption on either 24-hr recall, by fish
type	 C-109
Table C-56 Percent reporting fish consumption on both 24-hr recalls, by fish
type	 C-110

-------
Table C-l. Total finfish and shellfish usual fish consumption rate estimates, all ages
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
Gender
Female
Male
Age
I	to <3 yrs
3 to <6 yrs
6 to <11 yrs
II	to <16 yrs
16 to <18 yrs
18 to <21 yrs
21 to <35 yrs
35 to <50 yrs
50 to <65 yrs
65+ yrs
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
17.11 (13.9,21.1)
15.29	(12.2,19.2)
19.30	(15.8,23.6)
4.75 (2.7,8.3)
6.28(3.7,10.6)
8.42 (5.1,14.0)
7.93 (5.5,11.4)
9.54(6.8,13.3)
15.06 (8.7,26.2)
17.98 (12.9,25.0)
19.83 (16.2,24.3)
26.13 (19.1,35.8)
18.26	(13.4,24.9)
13.95 (11.5,17.0)
17.62 (14.3,21.7)
19.81 (9.5,41.3)
13.95 (11.5,17.0)
15.33 (12.3,19.1)
16.74 (13.0,21.5)
20.09 (16.3,24.7)
17.86 (11.0,29.1)
19.55 (10.0,38.3)
20.31 (6.8,60.2)
15.00 (11.3,20.0)
15.27	(11.4,20.5)
16.27 (13.2,20.0)
17.92 (14.6,22.0)
29.04 (19.2,43.8)
3.96(2.3,6.7) 11.89(8.5,16.6) 23.95(19.3,29.7) 40.47(33.1,49.5) 52.64(43.3,64.0) 60.91(49.9,74.3) 80.14(64.0,100.4)
3.56 (2.0,6.2)
4.49 (2.7,7.4)
0.70 (0.4,1.4)
1.11 (0.5,2.7)
1.36 (0.8,2.5)
1.39 (0.8,2.3)
1.54(0.9,2.6)
2.29 (1.3,3.9)
5.13 (2.2,11.9)
7.57 (5.2,11.0)
11.27 (6.3,20.3)
6.72 (4.7,9.6)
2.61 (1.8,3.9)
4.36 (2.5,7.6)
4.53 (1.2,16.7)
2.61 (1.8,3.9)
3.48 (2.1,5.9)
4.00 (2.4,6.6)
5.59 (3.1,10.2)
5.02 (2.4,10.5)
4.56 (1.5,13.5)
4.50 (0.6,32.2)
2.83 (1.7,4.6)
2.61 (1.7,4.0)
3.93 (2.2,7.1)
4.89 (3.2,7.5)
8.90 (3.3,23.7)
10.84 (7.6,15.5)
13.37 (9.7,18.4)
2.15 (1.2,4.0)
3.95 (1.5,10.2)
4.66 (2.5,8.9)
4.31 (2.6,7.3)
5.27 (3.1,9.0)
7.93 (4.5,13.9)
13.07 (7.3,23.4)
15.50 (12.4,19.4)
21.30 (14.5,31.2)
13.90 (9.9,19.5)
8.87 (6.6,12.0)
12.46	(9.0,17.3)
14.21 (4.7,42.8)
8.87 (6.6,12.0)
10.72 (7.1,16.1)
11.75 (8.3,16.7)
14.63 (11.1,19.3)
13.68 (6.6,28.2)
14.67 (5.1,41.8)
13.06 (3.2,53.0)
9.73 (6.0,15.7)
9.36 (6.7,13.1)
11.47	(8.3,15.8)
13.33 (9.7,18.4)
22.06 (12.2,40.0)
21.67	(17.0,27.6)
27.06 (21.8,33.6)
5.26 (3.4,8.2)
8.39 (4.7,15.1)
11.41 (6.7,19.4)
10.81 (7.3,16.1)
12.99 (8.9,18.9)
19.57 (11.2,34.3)
24.45 (17.2,34.8)
27.40 (22.3,33.7)
36.06 (26.3,49.4)
25.24 (18.5,34.5)
19.38 (15.6,24.1)
24.63 (19.9,30.4)
28.68	(12.7,64.6)
19.38 (15.6,24.1)
21.15 (16.9,26.5)
23.67 (18.1,31.0)
28.55 (23.1,35.3)
25.83 (14.8,45.2)
28.36	(14.0,57.5)
29.07 (8.6,98.2)
21.37	(15.3,29.8)
21.40 (15.9,28.9)
22.81 (18.5,28.2)
25.44 (20.2,32.1)
42.27 (25.4,70.2)
35.99 (29.0,44.6
45.56 (37.5,55.4
11.58 (7.
14.75 (9.
21.39 (12.
19.30 (12.
24.38 (17.
40.93 (19.
40.55 (30.
42.77 (34.
53.88 (40.
39.64 (28.
0,19.1
8,22.2
6,36.2
8,29.1
7,33.5
2.87.1
9.53.2
0,53.8
6,71.5
6,55.0
33.22 (27.2,40.6
41.46 (33.9,50.8
46.27 (25.4,84.3
33.22 (27.2,40.6
35.37 (28.8,43.5
39.42 (30.8,50.4
46.50 (37.8,57.2
39.77 (26.1,60.7
44.94 (26.2,77.1
49.43 (17.8,137.3
36.59 (27.7,48.4
39.46 (26.8,58.2
38.05 (30.9,46.8
41.21 (33.5,50.7
62.13 (47.5,81.2
46.59 (37.8,57.4
58.70 (48.1,71.6
18.78 (9.9,35.7
20.61 (14.0,30.3
29.46 (17.6,49.3
27.59 (18.4,41.3
33.98 (23.5,49.1
57.07 (28.0,116.3
53.21	(41.8,67.7
53.97 (41.8,69.7
65.64	(51.1,84.3
51.67 (38.8,68.9
44.86 (36.7,54.9
53.75 (44.0,65.7
58.22	(35.5,95.5
44.86 (36.7,54.9
47.77 (38.9,58.7
50.65	(39.0,65.7
58.48 (47.8,71.6
50.28 (33.7,74.9
56.63 (35.4,90.7
59.15 (28.9,121.2
48.34 (37.0,63.2
52.82 (34.8,80.3
49.54 (39.7,61.8
51.80 (42.7,62.9
81.20 (59.5,110.8
54.10 (43.8,66.8)
69.35 (56.7,84.8)
24.71 (12.1,50.5)
23.93 (17.5,32.7)
35.01 (21.2,57.7)
33.63 (22.5,50.3)
39.45	(27.7,56.2)
64.66 (37.7,110.9)
62.05 (49.9,77.2)
61.78 (46.3,82.4)
75.37 (57.6,98.5)
58.70 (41.7,82.6)
53.15 (42.8,66.0)
61.62 (50.2,75.7)
67.81 (41.9,109.7)
53.15 (42.8,66.0)
55.46	(45.4,67.7)
59.99 (46.0,78.2)
66.62 (53.7,82.7)
58.04 (39.6,85.0)
66.65 (39.6,112.1)
67.90 (35.2,131.0)
56.48 (43.5,73.3)
61.27 (41.3,90.8)
57.65 (45.6,72.8)
60.52 (49.8,73.6)
95.56 (70.1,130.2)
68.01	(53.4,86.7)
91.76 (74.0,113.8)
38.03 (17.6,82.2)
38.02	(23.6,61.3)
48.43 (28.2,83.1)
47.19 (30.5,73.1)
53.66 (37.2,77.4)
94.01 (50.7,174.4)
86.18 (66.5,111.6)
78.66 (55.0,112.5)
95.56 (71.2,128.2)
72.65 (45.8,115.3)
73.68 (57.6,94.2)
80.81 (64.0,102.0)
87.44 (54.6,140.0)
73.68 (57.6,94.2)
74.03	(59.5,92.1)
78.48 (57.4,107.3)
87.10 (69.3,109.5)
74.62 (51.0,109.2)
77.62 (54.7,110.2)
103.07 (42.1,252.3)
72.89 (53.7,98.9)
74.10 (52.0,105.5)
75.37 (57.9,98.0)
76.51 (59.9,97.8)
122.79 (89.0,169.5)
C-l

-------
Table C-l. Total finfish and shellfish usual fish consumption rate estimates, all ages (continued)






Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
12.26 (9.5,15.8)
2.67 (1.6,4.6)
8.65 (5.7,13.1)
17.16
(13.0,22.7)
28.37 (21.3,37.7)
37.34 (27.6,50.5)
43.98 (32.0,60.4)
58.80 (41.9,82.5)
Northeast
21.17 (16.4,27.4)
4.47 (3.1,6.5)
14.95 (11.2,19.9)
30.92
(23.4,40.8)
50.76 (37.9,68.0)
62.99 (48.5,81.8)
72.32 (55.9,93.5)
92.62 (70.2,122.2)
South
17.81 (13.8,22.9)
4.32 (2.4,7.7)
12.73 (8.3,19.5)
24.67
(19.1,31.9)
41.00 (32.8,51.3)
53.48 (42.9,66.6)
62.38 (50.2,77.5)
87.13 (66.6,114.0)
West
18.51 (14.5,23.7)
4.85 (2.7,8.9)
13.67 (9.8,19.1)
26.65
(20.3,35.1)
43.17 (33.5,55.7)
54.97 (43.1,70.2)
61.36 (48.2,78.1)
75.90 (54.1,106.4)
Coastal Status









Noncoastal
15.83 (11.8,21.2)
3.58(2.0,6.5)
11.08 (7.1,17.3)
22.11
(16.5,29.6)
37.35 (28.4,49.0)
48.97 (37.4,64.1)
56.99 (43.8,74.1)
75.46 (57.4,99.2)
Coastal
19.13 (15.9,23.0)
4.62 (3.2,6.7)
13.60 (10.8,17.2)
27.21
(22.3,33.2)
44.77 (36.8,54.5)
57.56 (46.5,71.2)
66.42 (53.0,83.2)
87.00 (67.2,112.7)
Coastal/Inland Region









Pacific
18.18 (14.4,22.9)
4.04(2.6,6.3)
13.17 (9.7,17.9)
26.52
(20.9,33.7)
43.33 (35.0,53.7)
55.12 (44.2,68.7)
61.58 (46.1,82.2)
75.91 (47.6,121.1)
Atlantic
20.01 (14.2,28.2)
5.56 (3.6,8.5)
14.81 (10.3,21.4)
28.43
(19.7,41.0)
45.87 (32.7,64.4)
58.00 (41.1,81.8)
65.82 (45.5,95.2)
84.62 (57.8,123.9)
Gulf of Mexico
24.33 (15.2,38.8)
5.88(2.1,16.8)
16.26 (8.2,32.2)
33.83
(19.4,58.9)
57.49 (35.9,92.1)
74.70 (49.0,113.9)
89.57 (57.2,140.1)
118.97 (75.7,187.1)
Great Lakes
13.62 (9.5,19.4)
2.80 (1.9,4.2)
9.00 (6.2,13.1)
19.04
(12.9,28.2)
32.51 (21.7,48.7)
42.77 (28.1,65.0)
50.61 (34.2,74.9)
69.85 (49.3,99.0)
Inland Northeast
21.18 (13.6,33.0)
3.60 (2.2,5.9)
14.03 (9.2,21.4)
31.24
(19.3,50.7)
52.01 (31.1,86.9)
65.49 (40.7,105.3)
75.70 (47.2,121.5)
95.75 (63.0,145.4)
Inland Midwest
11.87 (8.5,16.5)
2.63 (1.3,5.2)
8.55 (4.9,14.8)
16.63
(11.7,23.6)
27.17 (20.5,36.1)
36.12 (26.9,48.6)
42.39 (31.6,56.8)
55.02 (40.4,74.9)
Inland South
15.50 (11.1,21.6)
3.60 (1.9,6.9)
11.50 (6.2,21.3)
21.92
(15.2,31.6)
35.01 (27.5,44.5)
45.54 (36.3,57.2)
52.47 (42.4,64.9)
68.44 (53.3,87.9)
Inland West
18.84 (12.4,28.7)
5.69 (2.0,15.8)
14.04 (8.6,23.0)
26.71
(17.5,40.7)
43.03 (28.4,65.1)
54.69 (37.0,80.9)
61.28 (43.0,87.3)
74.90 (51.9,108.2)
C-2

-------
Table C-2. Total finfish and shellfish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
20.51 (16.9,24.9)
7.27 (4.5,11.7)
15.73 (11.9,20.7)
28.31
(23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15 (52.8,80.3)
85.30 (67.9,107.2)
Gender









Female
18.11 (14.6,22.5)
6.47 (3.8,11.1)
14.01 (10.4,18.8)
25.18
(20.2,31.4)
39.85 (32.2,49.3)
50.02 (40.6,61.6)
57.56 (46.5,71.2)
71.24 (54.6,93.0)
Male
A fTQ
23.56 (19.4,28.5)
8.71 (5.6,13.6)
18.11 (14.1,23.3)
32.29
(26.5,39.4)
50.97 (42.0,61.8)
64.06 (52.2,78.7)
74.82 (60.9,92.0)
97.15 (77.2,122.2)
Mge
21 to <35 yrs
17.98 (12.9,25.0)
5.13 (2.2,11.9)
13.07 (7.3,23.4)
24.45
(17.2,34.8)
40.55 (30.9,53.2)
53.21 (41.8,67.7)
62.05 (49.9,77.2)
86.18 (66.5,111.6)
35 to <50 yrs
19.83 (16.2,24.3)
7.57 (5.2,11.0)
15.50 (12.4,19.4)
27.40
(22.3,33.7)
42.77 (34.0,53.8)
53.97 (41.8,69.7)
61.78 (46.3,82.4)
78.66 (55.0,112.5)
50 to <65 yrs
26.13 (19.1,35.8)
11.27 (6.3,20.3)
21.30 (14.5,31.2)
36.06
(26.3,49.4)
53.88 (40.6,71.5)
65.64 (51.1,84.3)
75.37 (57.6,98.5)
95.56 (71.2,128.2)
65+ yrs
18.26 (13.4,24.9)
6.72 (4.7,9.6)
13.90 (9.9,19.5)
25.24
(18.5,34.5)
39.64 (28.6,55.0)
51.67 (38.8,68.9)
58.70 (41.7,82.6)
72.65 (45.8,115.3)
WCA (13-49 years)
15.34 (12.2,19.3)
4.01 (2.2,7.3)
11.21 (7.7,16.4)
21.53
(16.8,27.5)
34.99 (28.6,42.9)
45.62 (37.2,56.0)
53.36 (43.0,66.2)
67.82 (53.6,85.8)
Income









<$20,000
16.88 (13.9,20.6)
4.47 (2.8,7.1)
11.97 (9.2,15.6)
23.26
(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88 (46.0,72.7)
83.56 (63.1,110.6)
>$20,000
21.06 (17.4,25.5)
7.79 (5.0,12.1)
16.30 (12.5,21.2)
29.00
(23.7,35.5)
45.74 (37.8,55.4)
57.55 (47.1,70.3)
65.62 (52.7,81.7)
84.62 (65.7,109.0)
Income unknown
23.40 (11.4,47.9)
8.11 (1.8,36.8)
18.61 (6.8,51.1)
31.80
(16.9,59.8)
52.01 (27.4,98.8)
63.47 (37.9,106.4)
72.31 (44.9,116.4)
90.69 (57.3,143.4)
Income, finer detail









<$20,000
16.88 (13.9,20.6)
4.47 (2.8,7.1)
11.97 (9.2,15.6)
23.26
(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88 (46.0,72.7)
83.56 (63.1,110.6)
$20k-$45k
18.08 (14.8,22.0)
6.32 (3.6,11.1)
13.81 (10.1,18.8)
24.56
(19.9,30.3)
39.26 (32.2,47.8)
51.10 (41.9,62.3)
59.00 (48.2,72.2)
77.40 (60.0,99.9)
$45k-$75k
19.92 (15.6,25.4)
6.94 (4.6,10.5)
15.30 (11.1,21.1)
27.60
(21.2,35.9)
43.26 (34.0,55.0)
55.12 (42.5,71.4)
63.46 (48.0,84.0)
81.60 (58.5,113.9)
$75k+
24.34 (20.0,29.6)
9.99 (6.9,14.4)
19.35 (15.4,24.3)
33.90
(27.5,41.9)
51.38 (41.8,63.1)
62.26 (50.2,77.3)
71.28 (56.9,89.3)
90.52 (69.7,117.6)
>$20,000
20.61 (13.2,32.3)
7.58(3.9,14.6)
16.85 (9.2,30.9)
27.98
(18.5,42.3)
42.57 (28.7,63.2)
54.01 (36.3,80.3)
61.71 (41.6,91.5)
83.36 (52.9,131.4)
Inc Ref/DK
22.97 (11.8,44.7)
8.18(2.1,32.2)
18.29 (7.6,44.0)
31.87
(17.2,58.9)
51.22 (27.2,96.5)
62.13 (36.6,105.5)
72.31 (40.2,130.2)
85.30 (55.2,131.7)
Inc missing
24.35 (8.4,71.0)
7.83 (1.0,59.5)
19.30 (4.3,87.3)
31.80
(12.2,83.1)
54.39 (21.2,139.3)
63.67 (30.6,132.5)
89.96 (29.1,277.9)
108.79 (39.6,299.0)
Race/Ethnicity









Mexican American
20.10 (14.5,27.8)
6.35 (3.0,13.3)
16.02 (9.6,26.7)
28.10
(19.9,39.7)
43.86 (32.8,58.7)
55.33 (42.2,72.5)
63.75 (48.6,83.7)
79.80 (56.4,112.8)
Other Hispanic
20.35 (14.4,28.7)
6.89 (3.5,13.6)
15.06 (10.4,21.7)
27.81
(20.0,38.7)
46.89 (30.9,71.2)
59.47 (39.2,90.2)
67.60 (46.5,98.3)
79.52 (55.0,115.1)
White
19.01 (15.6,23.1)
6.89 (4.4,10.9)
14.59 (11.4,18.7)
26.22
(21.4,32.1)
41.70 (33.9,51.3)
52.74 (41.7,66.7)
60.42 (46.5,78.5)
78.18 (58.7,104.1)
Black
22.22 (17.6,28.0)
8.89 (5.2,15.3)
17.85 (12.9,24.6)
30.74
(24.2,39.0)
46.59 (38.2,56.9)
58.00 (47.6,70.7)
66.16 (54.0,81.1)
82.63 (64.4,106.1)
Other race
34.96 (24.2,50.5)
15.15 (7.2,31.9)
28.78 (17.6,47.1)
49.09
(31.3,77.0)
71.11 (51.3,98.5)
89.81 (66.0,122.1)
105.37 (75.2,147.7)
131.76 (89.0,195.1)
C-3

-------
Table C-2. Total finfish and shellfish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th

75th
90th
95th
97th
99th
Region











Midwest
14.73
11.4,19.0)
5.25 (3.2,8.7)
11.33 (8.1,15.8)
20.03
(15.3,26.2)
31.52
(23.5,42.4)
41.40 (31.2,54.9)
46.68 (32.8,66.5)
63.61 (47.1,85.9)
Northeast
25.26
19.7,32.4)
9.03 (5.7,14.3)
20.29 (15.1,27.2)
35.94
(27.8,46.5)
54.03
(42.1,69.3)
66.55 (51.8,85.5)
75.85 (58.3,98.8)
94.75 (70.2,128.0)
South
21.45
16.8,27.5)
7.92 (4.2,14.8)
16.60 (11.6,23.7)
29.05
(22.9,36.8)
45.64
(36.9,56.5)
58.23 (47.0,72.2)
67.39 (53.9,84.3)
93.86 (69.9,126.1)
West
22.09
17.4,28.0)
8.74(5.7,13.4)
17.66 (13.3,23.5)
30.76
(23.9,39.5)
47.81
(36.8,62.1)
58.34 (46.3,73.5)
65.39 (50.9,84.1)
78.63 (53.8,115.0)
Coastal Status











Noncoastal
18.95
14.4,24.9)
6.67 (3.5,12.6)
14.52 (10.0,21.1)
25.95
(20.0,33.6)
41.75
(31.9,54.7)
52.71 (40.8,68.0)
60.55 (46.8,78.3)
78.78 (59.3,104.6)
Coastal
22.95
18.9,27.9)
8.59 (6.3,11.7)
17.73 (14.2,22.2)
31.48
(25.4,39.0)
49.69
(40.5,61.0)
62.13 (49.9,77.4)
71.62 (57.1,89.9)
92.02 (70.1,120.9)
Coastal/Inland Region











Pacific
21.41
16.7,27.4)
7.79 (5.3,11.5)
17.15 (12.8,23.0)
30.08
(23.6,38.3)
47.56
(38.5,58.7)
57.07 (43.7,74.4)
64.78 (47.7,88.0)
78.00 (46.7,130.4)
Atlantic
24.15
17.1,34.0)
9.80 (6.6,14.6)
19.47 (13.7,27.7)
33.19
(23.0,47.9)
50.48
(35.3,72.2)
63.05 (45.1,88.2)
71.48 (50.4,101.4)
91.63 (65.4,128.5)
Gulf of Mexico
29.15
19.3,44.1)
10.20 (5.0,20.8)
21.69 (12.4,37.8)
40.39
(24.3,67.1)
63.32
(40.9,98.1)
82.49 (52.9,128.6)
97.58 (59.7,159.5)
126.36 (78.3,203.9)
Great Lakes
16.85
12.2,23.3)
5.71 (3.6,9.1)
12.36 (8.4,18.3)
23.38
(16.8,32.6)
36.31
(24.4,54.0)
47.37 (33.0,68.0)
55.98 (40.1,78.1)
78.34 (59.4,103.3)
Inland Northeast
25.07
15.9,39.4)
7.36 (4.0,13.5)
19.85 (12.0,32.8)
35.86
(22.9,56.2)
54.30
(35.6,82.9)
69.02 (43.9,108.6)
78.14 (50.9,119.9)
95.75 (63.1,145.2)
Inland Midwest
14.16
10.5,19.1)
5.13 (2.7,9.8)
11.12 (7.2,17.2)
19.30
(14.3,26.1)
29.65
(22.4,39.2)
40.05 (29.7,54.0)
45.24 (33.9,60.3)
59.71 (44.6,79.9)
Inland South
18.72
13.3,26.3)
7.02 (2.8,17.5)
15.03 (8.7,26.0)
25.43
(18.8,34.3)
39.37
(30.9,50.2)
49.99 (40.0,62.4)
56.86 (45.8,70.6)
74.52 (57.3,96.9)
Inland West
22.82
15.0,34.7)
9.61 (4.7,19.5)
18.22 (11.8,28.1)
32.02
(20.3,50.4)
48.00
(31.8,72.4)
59.09 (40.4,86.4)
65.89 (46.1,94.2)
79.17 (54.4,115.2)
C-4

-------
Table C-3. Total finfish and shellfish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onrloi'
8.67 (6.1,12.3)
1.34(0.8,2.2)
4.35 (2.6,7.3)
11.09 (7.5,16.4)
21.74 (15.7,30.2)
31.59 (22.6,44.2)
40.19 (28.1,57.5)
59.13 (41.7,83.9)
VJcllUcI
Female
7.58(5.2,11.0)
1.17
0.7,1.9)
3.71 (2.2,6.1)
9.85 (6.5,15.0)
19.34 (13.5,27.7)
27.86 (19.4,40.1)
34.69 (24.3,49.5)
51.01 (34.1,76.3)
Male
A np
9.81 (6.9,13.9)
1.59
0.9,2.7)
5.00 (3.1,8.2)
12.32 (8.7,17.5)
23.98 (17.7,32.4)
35.18 (25.3,49.0)
45.73 (31.2,67.0)
66.75 (45.9,97.1)
age
1 to <3 yrs
4.75 (2.7,8.3)
0.70
0.4,1.4)
2.15 (1.2,4.0)
5.26 (3.4,8.2)
11.58 (7.0,19.1)
18.78 (9.9,35.7)
24.71 (12.1,50.5)
38.03 (17.6,82.2)
3 to <6 yrs
6.28(3.7,10.6)
1.11
0.5,2.7)
3.95 (1.5,10.2)
8.39 (4.7,15.1)
14.75 (9.8,22.2)
20.61 (14.0,30.3)
23.93 (17.5,32.7)
38.02 (23.6,61.3)
6 to <11 yrs
8.42 (5.1,14.0)
1.36
0.8,2.5)
4.66 (2.5,8.9)
11.41 (6.7,19.4)
21.39 (12.6,36.2)
29.46 (17.6,49.3)
35.01 (21.2,57.7)
48.43 (28.2,83.1)
11 to <16 yrs
7.93 (5.5,11.4)
1.39
0.8,2.3)
4.31 (2.6,7.3)
10.81 (7.3,16.1)
19.30 (12.8,29.1)
27.59 (18.4,41.3)
33.63 (22.5,50.3)
47.19 (30.5,73.1)
16 to <18 yrs
9.54 (6.8,13.3)
1.54
0.9,2.6)
5.27 (3.1,9.0)
12.99 (8.9,18.9)
24.38 (17.7,33.5)
33.98 (23.5,49.1)
39.45 (27.7,56.2)
53.66 (37.2,77.4)
18 to <21 yrs
1 nrn m o
15.06 (8.7,26.2)
2.29
1.3,3.9)
7.93 (4.5,13.9)
19.57 (11.2,34.3)
40.93 (19.2,87.1)
57.07 (28.0,116.3)
64.66 (37.7,110.9)
94.01 (50.7,174.4)
1 IllUIIlc
<$20,000
7.91 (6.2,10.1)
1.28
0.9,1.9)
3.96 (2.9,5.4)
9.87 (7.2,13.5)
19.93 (14.9,26.6)
29.80 (22.6,39.2)
37.06 (28.4,48.4)
54.98 (38.4,78.7)
>$20,000
8.72 (6.0,12.7)
1.35
0.8,2.3)
4.37 (2.5,7.7)
11.18 (7.3,17.2)
21.67 (15.3,30.8)
31.06 (22.3,43.2)
40.35 (27.5,59.2)
60.15 (41.0,88.3)
Income unknown
11.61 (4.6,29.4)
1.52
0.8,3.0)
5.93 (1.8,19.7)
15.85 (4.4,57.1)
32.59 (10.1,104.8)
41.74 (18.7,93.2)
45.13 (26.9,75.8)
59.71 (34.8,102.5)
Income, finer detail









<$20,000
7.91 (6.2,10.1)
1.28
0.9,1.9)
3.96 (2.9,5.4)
9.87 (7.2,13.5)
19.93 (14.9,26.6)
29.80 (22.6,39.2)
37.06 (28.4,48.4)
54.98 (38.4,78.7)
$20k-$45k
8.43 (5.1,13.8)
1.30
0.8,2.2)
4.01 (2.3,6.9)
10.59 (6.3,17.9)
21.21 (13.0,34.7)
30.33 (19.4,47.4)
39.75 (22.5,70.2)
60.35 (33.1,110.1)
$45k-$75k
7.87 (5.5,11.2)
1.18
0.7,2.0)
4.09 (2.2,7.7)
10.06 (6.9,14.8)
19.44 (13.5,28.0)
27.56 (17.4,43.6)
35.52 (22.4,56.2)
52.71 (30.1,92.4)
$75k+
9.49 (6.3,14.4)
1.52
0.8,2.9)
4.85 (2.6,9.0)
12.14 (7.9,18.6)
23.21 (16.2,33.3)
33.58 (23.3,48.5)
43.87 (28.1,68.6)
62.46 (43.3,90.2)
>$20,000
8.99 (5.4,15.0)
1.94
0.7,5.6)
5.87 (2.8,12.1)
12.14 (6.9,21.4)
20.70 (12.8,33.5)
31.51 (15.8,62.8)
33.69 (16.2,69.9)
52.51 (23.4,117.8)
Inc Ref/DK
10.24 (4.1,25.5)
1.36
0.7,2.8)
5.12 (1.9,13.6)
15.04 (3.6,62.1)
27.82 (9.2,84.3)
37.87 (14.6,98.0)
41.74 (21.8,79.8)
47.50 (27.0,83.6)
Inc missing
13.52 (3.6,50.6)
1.58
0.5,5.3)
7.10 (1.1,44.3)
18.72 (3.2,111.0)
38.96 (7.6,200.9)
43.77 (15.8,121.6)
55.87 (22.1,141.5)
67.81 (26.8,171.5)
Race/Ethnicity









Mexican American
7.15 (5.2,9.8)
1.26
0.8,1.9)
3.91 (2.6,5.9)
9.37 (6.9,12.8)
17.52 (12.4,24.8)
24.32 (15.5,38.2)
30.52 (19.1,48.7)
46.09 (29.8,71.3)
Other Hispanic
6.03 (3.2,11.5)
0.85
0.3,2.3)
2.67 (1.1,6.5)
7.15 (3.0,17.2)
14.74 (6.7,32.2)
23.08 (12.9,41.4)
29.86 (17.9,49.9)
50.44 (28.3,89.8)
White
8.21 (4.7,14.3)
1.22
0.6,2.4)
3.88(1.9,7.8)
10.29 (5.6,18.9)
20.80 (12.0,36.0)
30.18 (18.0,50.6)
39.51 (21.8,71.7)
60.37 (32.2,113.1)
Black
9.30 (6.6,13.2)
2.00
1.3,3.1)
6.23 (4.3,9.0)
12.72 (8.8,18.3)
21.89 (14.8,32.3)
29.57 (20.1,43.4)
35.05 (22.9,53.6)
47.52 (29.4,76.8)
Other race
16.36 (9.2,29.2)
2.81
1.2,6.4)
10.90 (3.7,32.5)
22.57 (11.7,43.6)
40.64 (23.6,70.0)
55.17 (34.7,87.6)
60.53 (44.3,82.6)
72.44 (46.8,112.2)
C-5

-------
Table C-3. Total finfish and shellfish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region










Midwest
6.00 (4.4,8.2)
1.04
(0.5,2.2)
2.96 (1.8,5.0)
7.86
(5.5,11.2)
15.39 (10.8,21.8)
21.31 (12.6,36.0)
27.34 (16.1,46.4)
37.78 (17.4,82.0)
Northeast
10.47 (6.2,17.6)
1.39
(1.0,2.0)
4.55 (3.2,6.4)
11.90
(9.1,15.6)
27.48 (14.9,50.7)
44.91 (16.8,119.8)
56.99 (19.5,166.8)
75.70 (27.8,206.1)
South
8.52 (6.0,12.1)
1.50
(0.9,2.5)
4.51 (2.9,7.1)
11.37
(7.6,17.0)
21.20 (14.9,30.1)
29.01 (21.2,39.7)
35.49 (26.2,48.0)
54.18 (37.3,78.7)
West
10.37 (5.8,18.6)
1.67
(0.8,3.6)
5.52 (2.3,13.3)
13.84
(6.6,28.8)
26.32 (14.4,48.1)
38.80 (20.4,73.8)
47.68 (26.2,86.8)
60.35 (40.7,89.6)
Coastal Status










Noncoastal
8.16 (5.2,12.9)
1.28
(0.8,2.1)
4.15 (2.3,7.6)
10.65
(6.5,17.5)
20.03 (13.3,30.2)
29.05 (18.6,45.3)
38.02 (21.7,66.7)
57.74 (30.6,108.9)
Coastal
9.50 (7.3,12.4)
1.51
(0.9,2.6)
4.66 (3.1,7.0)
12.09
CO
CO

-------
Table C-4. Total finfish usual fish consumption rate estimates, all ages

Mean (95% CI)



Percentiles (95% CI)


25th
50th
75th
90th
95th
97th
99th
Total Population
^onrloi'
11.18 (8.8,14.1)
2.39 (1.4,4.0)
7.29 (5.2,10.2)
15.15 (11.8,19.5)
26.57 (20.9,33.8)
35.86 (28.2,45.6)
43.35 (34.1,55.2)
59.25 (46.7,75.2)
VJcMUcI
Female
10.08 (7.9,12.9)
2.14(1.3,3.6)
6.68 (4.8,9.4)
13.86 (10.7,17.9)
23.97 (18.6,30.8)
31.84 (24.6,41.1)
38.17 (29.4,49.6)
52.78 (40.1,69.4)
Male
A np
12.50 (9.8,15.9)
2.74(1.6,4.8)
8.15 (5.7,11.6)
16.80 (12.9,21.8)
29.63 (23.3,37.7)
40.55 (31.8,51.6)
48.38 (38.1,61.5)
68.72 (54.1,87.3)
age
1 to <3 yrs
3.09 (2.0,4.8)
0.43 (0.2,0.8)
1.32 (0.7,2.4)
3.50 (2.2,5.6)
7.82 (4.9,12.4)
12.20 (7.5,19.9)
16.42 (9.3,28.9)
24.47 (14.9,40.1)
3 to <6 yrs
4.01 (2.4,6.8)
0.69 (0.2,2.0)
2.25 (0.9,5.7)
5.07 (2.7,9.4)
9.43 (6.2,14.3)
13.56 (9.3,19.9)
17.25 (11.6,25.6)
26.87 (17.6,41.0)
6 to <11 yrs
6.01 (3.5,10.2)
0.96 (0.5,2.0)
3.15 (1.6,6.1)
7.91 (4.5,13.9)
15.26 (8.9,26.2)
21.61 (12.4,37.8)
26.14 (14.8,46.2)
37.04 (21.3,64.5)
11 to <16 yrs
5.15 (3.3,7.9)
0.86 (0.5,1.5)
2.67 (1.5,4.8)
6.90 (4.1,11.7)
12.60 (8.2,19.3)
18.06 (11.9,27.4)
22.82 (15.0,34.7)
31.75 (19.4,52.0)
16 to <18 yrs
6.04 (4.2,8.7)
0.81 (0.4,1.6)
2.88(1.7,4.8)
7.76 (5.1,11.7)
15.01
(10.0,22.5)
22.53 (15.5,32.8)
28.20 (18.9,42.1)
41.37 (26.1,65.6)
18 to <21 yrs
9.59 (5.6,16.4)
1.32 (0.7,2.5)
4.35 (2.6,7.3)
11.07 (6.7,18.1)
23.27
(13.2,41.0)
38.86 (19.6,77.2)
50.08 (23.0,109.2)
83.28 (30.1,230.5)
21 to <35 yrs
11.86 (8.2,17.2)
3.13 (1.2,7.9)
7.80 (4.5,13.4)
15.74 (10.5,23.6)
27.51
(19.6,38.7)
36.73 (27.6,49.0)
45.27 (33.5,61.1)
61.69 (46.4,82.1)
35 to <50 yrs
12.17 (9.4,15.8)
4.21 (3.0,5.8)
9.04(7.0,11.7)
16.22 (12.1,21.8)
26.57
(19.6,35.9)
35.48 (26.6,47.3)
41.97 (31.2,56.4)
55.74 (40.8,76.2)
50 to <65 yrs
17.70 (12.4,25.2)
7.16 (3.8,13.5)
13.66 (9.1,20.5)
23.96 (16.9,34.0)
37.45
(27.0,52.0)
47.14 (34.5,64.4)
54.81 (39.8,75.5)
70.19 (51.2,96.2)
65+ yrs
1 nrnmo
12.33 (8.1,18.8)
4.42 (2.9,6.6)
9.23 (6.1,13.9)
16.68 (10.8,25.7)
26.94
(17.2,42.2)
34.85 (21.6,56.1)
41.21 (25.8,65.9)
54.23 (31.7,92.6)
1 IllUIIlC
<$20,000
9.39 (7.4,11.9)
1.65 (1.0,2.6)
5.51 (4.0,7.6)
12.35 (9.5,16.0)
22.73
(17.8,29.1)
31.29 (24.4,40.1)
38.51 (30.1,49.2)
55.76 (42.6,73.0)
>$20,000
11.48 (9.0,14.6)
2.58(1.6,4.3)
7.65 (5.5,10.7)
15.64 (12.1,20.2)
27.07
(21.2,34.6)
36.45 (28.5,46.6)
43.77 (34.2,56.1)
59.25 (46.0,76.4)
Income unknown
12.36 (6.1,25.1)
2.60 (0.7,9.4)
8.10 (2.9,22.9)
17.15 (7.6,38.5)
29.77
(15.8,56.2)
40.33 (21.8,74.6)
49.31 (25.6,95.1)
70.18 (34.7,142.1)
Income, finer detail









<$20,000
9.39 (7.4,11.9)
1.65 (1.0,2.6)
5.51 (4.0,7.6)
12.35 (9.5,16.0)
22.73
(17.8,29.1)
31.29 (24.4,40.1)
38.51 (30.1,49.2)
55.76 (42.6,73.0)
$20k-$45k
10.17 (7.9,13.1)
2.14(1.4,3.4)
6.65 (4.8,9.2)
13.59 (10.2,18.0)
23.65
(17.5,32.0)
32.24 (23.7,43.8)
39.29 (29.1,53.1)
56.64 (43.1,74.4)
$45k-$75k
11.09 (8.3,14.9)
2.35 (1.4,3.8)
7.16 (5.0,10.3)
14.94 (10.9,20.5)
26.54
(19.7,35.8)
35.89 (26.7,48.3)
43.23 (31.9,58.6)
58.52 (42.8,79.9)
$75k+
12.74 (9.9,16.4)
3.21 (1.7,5.9)
8.90 (6.2,12.8)
17.64 (13.6,23.0)
29.57
(23.2,37.7)
39.12 (30.5,50.1)
45.97 (35.5,59.5)
61.44 (47.2,80.0)
>$20,000
12.53 (7.2,21.7)
3.37 (1.3,8.4)
9.06 (4.1,19.8)
16.80 (10.0,28.2)
29.18
(17.1,49.9)
39.11 (22.3,68.7)
44.93 (27.2,74.1)
63.13 (36.4,109.6)
Inc Ref/DK
11.50 (6.3,21.2)
2.56 (0.8,7.9)
7.97 (3.1,20.6)
16.12 (8.4,31.0)
28.00
(15.4,50.9)
36.18 (21.8,60.1)
41.52 (27.0,63.9)
49.83 (31.7,78.4)
Inc missing
14.01 (4.5,43.8)
2.81 (0.4,19.9)
8.17 (1.9,34.3)
18.10 (5.6,58.7)
33.52
(11.9,94.7)
55.65 (14.4,215.7)
69.06 (17.8,268.3)
75.15 (34.5,163.5)
Race/Ethnicity









Mexican American
9.53 (6.9,13.1)
1.69 (1.0,3.0)
5.81 (3.5,9.8)
13.01 (9.1,18.7)
23.01
(17.0,31.2)
31.80 (23.7,42.7)
38.91 (28.7,52.7)
51.59 (36.6,72.7)
Other Hispanic
9.49 (6.8,13.2)
1.62 (0.9,2.9)
5.34(3.4,8.3)
12.19 (8.3,17.9)
23.59
(16.6,33.4)
34.16 (22.4,52.0)
41.72 (26.8,64.9)
61.80 (34.4,111.1)
White
10.51 (8.2,13.5)
2.38(1.3,4.2)
7.10 (5.1,9.9)
14.26 (11.0,18.6)
24.53
(18.7,32.2)
33.01 (25.1,43.3)
39.65 (30.2,52.0)
54.57 (40.9,72.8)
Black
12.25 (9.5,15.8)
2.93 (1.9,4.4)
8.41 (6.0,11.8)
17.14 (13.1,22.4)
28.16
(20.8,38.0)
37.41 (27.8,50.4)
44.62 (33.5,59.5)
58.89 (42.2,82.2)
Other race
19.80 (14.3,27.4)
5.04(2.2,11.5)
13.93 (8.5,22.8)
28.16 (19.1,41.6)
45.03
(34.9,58.1)
58.28 (45.8,74.1)
68.72 (52.5,90.0)
92.11 (67.8,125.1)
C-7

-------
Table C-4. Total finfish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
8.36 (6.1,11.4)
12.73 (9.2,17.5)
11.55 (9.2,14.5)
12.53 (9.5,16.6)
10.72 (7.7,15.0)
11.89 (8.9,15.9)
1.67 (1.0,2.9)
2.64(1.5,4.5)
2.50 (1.5,4.0)
3.02 (1.6,5.6)
2.26 (1.2,4.2)
2.61 (1.7,3.9)
5.51 (3.5,8.6)
8.23 (5.7,11.9)
7.46 (5.4,10.3)
8.76 (6.2,12.5)
7.10 (4.5,11.3)
7.66 (5.6,10.5)
11.61 (8.2,16.4)
17.69 (12.7,24.6)
15.41 (12.0,19.7)
17.29 (12.9,23.2)
14.43 (10.6,19.7)
16.23 (11.9,22.2)
19.71 (14.0,27.7)
30.38 (22.2,41.6)
27.20 (21.6,34.3)
29.52	(22.1,39.4)
25.20 (18.5,34.4)
28.53	(21.0,38.8)
26.30 (18.2,38.1)
40.98 (29.6,56.8)
37.09 (29.6,46.5)
39.05 (29.3,52.1)
34.22	(24.8,47.3)
38.23	(27.8,52.7)
31.20 (20.8,46.7)
48.60 (35.3,67.0)
45.27 (35.7,57.3)
46.24 (34.4,62.1)
41.42 (29.5,58.1)
45.71 (32.8,63.7)
42.44 (26.8,67.2)
65.65 (47.5,90.8)
63.68 (49.6,81.8)
59.46 (42.6,83.1)
57.98 (39.8,84.6)
62.09 (43.0,89.6)
Pacific
11.70
(8.0,17.1)
2.47
(1.5,4.0)
7.96
(5.5,11.6)
16.10 (10.6,24.5)
28.05
(19.1,41.2)
37.77
(26.3,54.2)
44.88 (30.8,65.3)
58.23 (36.6,92.7)
Atlantic
12.27
(7.7,19.6)
3.10
(1.9,5.1)
8.13
(4.6,14.4)
16.82 (10.0,28.3)
28.70
(17.5,47.2)
37.83
(23.4,61.2)
45.21 (28.8,70.9)
58.89 (35.4,97.9)
Gulf of Mexico
14.21
(9.4,21.5)
2.89
(1.2,7.2)
8.38
(4.0,17.8)
18.55 (10.4,33.2)
35.17
(21.4,57.8)
48.61
(30.3,78.0)
59.51 (37.3,94.9)
83.32 (52.5,132.2)
Great Lakes
8.95
(5.7,14.2)
1.61
(0.9,3.0)
5.07 (2.8,9.2)
12.29 (7.6,19.8)
22.35
(14.1,35.5)
30.23
(18.7,48.9)
35.50 (20.6,61.2)
45.78 (21.5,97.6)
Inland Northeast
12.59
(7.4,21.4)
2.12
(1.2,3.8)
7.86
(4.6,13.5)
17.34 (10.4,28.8)
30.38
(17.8,51.9)
42.65
(22.4,81.3)
51.55 (26.3,100.9)
70.18 (35.4,139.0)
Inland Midwest
8.18
(5.6,11.9)
1.70
(0.9,3.4)
5.58
(3.1,10.0)
11.48 (7.4,17.7)
19.00
(13.4,26.9)
25.15
(17.9,35.3)
29.92 (21.1,42.5)
40.05 (27.5,58.3)
Inland South
10.77
(8.0,14.6)
2.24
(1.3,3.9)
7.19
(4.5,11.4)
14.46 (10.9,19.3)
25.21
(19.4,32.8)
34.22
(26.0,45.0)
41.34 (31.1,54.9)
58.28 (41.2,82.4)
Inland West
13.35
(7.9,22.4)
3.65 (1.3,10.6)
9.56
(5.2,17.4)
18.22 (11.2,29.7)
31.02
(18.2,52.8)
40.27
(24.2,66.9)
48.24 (28.3,82.2)
61.80 (39.7,96.2)
C-8

-------
Table C-5. Total finfish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
13.38 (10.6,16.8)
4.33 (2.8,6.8)
9.69 (7.2,13.0)
18.01 (14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36 (36.2,59.4)
62.16 (47.9,80.7)
Gender








Female
11.96 (9.4,15.2)
3.89 (2.4,6.4)
8.71 (6.5,11.7)
16.36 (12.7,21.1)
26.82 (20.8,34.5)
34.68 (26.6,45.2)
40.98 (31.3,53.6)
55.53 (42.2,73.1)
Male
A rjo
15.19 (12.0,19.2)
5.10 (3.3,7.9)
11.11 (8.2,15.0)
20.04 (15.5,25.9)
33.90 (26.8,42.9)
44.68 (35.2,56.7)
51.56 (39.9,66.6)
70.67 (55.5,90.1)
Age
21 to <35 yrs
11.86 (8.2,17.2)
3.13 (1.2,7.9)
7.80 (4.5,13.4)
15.74 (10.5,23.6)
27.51 (19.6,38.7)
36.73 (27.6,49.0)
45.27 (33.5,61.1)
61.69 (46.4,82.1)
35 to <50 yrs
12.17 (9.4,15.8)
4.21 (3.0,5.8)
9.04(7.0,11.7)
16.22 (12.1,21.8)
26.57 (19.6,35.9)
35.48 (26.6,47.3)
41.97 (31.2,56.4)
55.74 (40.8,76.2)
50 to <65 yrs
17.70 (12.4,25.2)
7.16 (3.8,13.5)
13.66 (9.1,20.5)
23.96 (16.9,34.0)
37.45 (27.0,52.0)
47.14 (34.5,64.4)
54.81 (39.8,75.5)
70.19 (51.2,96.2)
65+ yrs
12.33 (8.1,18.8)
4.42 (2.9,6.6)
9.23 (6.1,13.9)
16.68 (10.8,25.7)
26.94 (17.2,42.2)
34.85 (21.6,56.1)
41.21 (25.8,65.9)
54.23 (31.7,92.6)
WCA (13-49 years)
9.84(7.7,12.6)
2.30 (1.3,3.9)
6.62 (4.7,9.3)
13.39 (10.4,17.3)
23.05 (18.0,29.4)
30.80 (24.0,39.6)
37.14 (28.7,48.1)
50.93 (38.7,67.1)
Income








<$20,000
11.42 (9.0,14.4)
2.80 (1.7,4.7)
7.54(5.6,10.1)
15.15 (11.9,19.3)
26.02 (20.4,33.3)
35.23 (27.4,45.3)
42.94 (33.1,55.7)
59.92 (44.6,80.4)
>$20,000
13.69 (10.8,17.3)
4.65 (3.0,7.1)
10.05 (7.5,13.4)
18.42 (14.3,23.6)
30.29 (23.8,38.6)
39.66 (30.9,50.9)
46.56 (36.0,60.3)
61.80 (46.5,82.1)
Income unknown
14.48 (7.4,28.3)
4.35 (1.2,16.4)
10.30 (4.5,23.8)
18.64 (10.4,33.3)
32.57 (18.6,57.0)
45.66 (22.5,92.4)
55.65 (25.0,123.9)
71.34 (37.6,135.2)
Income, finer detail








<$20,000
11.42 (9.0,14.4)
2.80 (1.7,4.7)
7.54(5.6,10.1)
15.15 (11.9,19.3)
26.02 (20.4,33.3)
35.23 (27.4,45.3)
42.94 (33.1,55.7)
59.92 (44.6,80.4)
$20k-$45k
11.94 (9.1,15.6)
3.80 (2.5,5.9)
8.57 (6.4,11.4)
15.89 (11.8,21.4)
26.49 (19.5,35.9)
35.55 (26.3,48.0)
42.79 (31.7,57.8)
58.28 (42.2,80.5)
$45k-$75k
13.16 (9.9,17.6)
4.21 (2.7,6.6)
9.39 (6.7,13.2)
17.63 (13.0,23.9)
29.83 (22.3,39.9)
39.51 (29.2,53.4)
46.49 (34.4,62.9)
61.54 (44.7,84.8)
$75k+
15.46 (12.1,19.7)
5.90 (3.7,9.3)
11.70 (8.7,15.7)
20.69 (16.1,26.6)
33.09 (25.9,42.3)
42.90 (33.5,54.9)
49.34 (38.0,64.0)
64.88 (49.1,85.8)
>$20,000
14.50 (8.8,23.9)
5.17 (2.4,10.9)
11.17 (5.9,21.2)
18.67 (11.9,29.3)
31.63 (19.4,51.4)
41.56 (25.4,68.1)
47.52 (29.7,76.0)
64.77 (39.0,107.6)
Inc Ref/DK
13.43 (7.6,23.9)
4.24(1.2,14.6)
10.05 (4.6,22.1)
18.27 (10.3,32.5)
30.90 (17.7,53.8)
39.51 (23.3,66.9)
45.66 (28.1,74.3)
52.65 (33.0,83.9)
Inc missing
16.83 (5.4,52.3)
4.42 (0.8,25.9)
11.38 (3.0,43.8)
19.41 (7.6,49.3)
40.63 (12.9,127.5)
62.28 (15.1,256.3)
71.34 (19.6,259.9)
79.19 (33.8,185.7)
Race/Ethnicity








Mexican American
12.66 (8.9,18.0)
3.72 (1.6,8.5)
9.22 (5.5,15.3)
17.31 (11.8,25.5)
28.40 (20.4,39.6)
37.92 (27.4,52.5)
44.51 (32.4,61.2)
58.73 (41.6,82.9)
Other Hispanic
12.38 (8.4,18.2)
3.67 (1.9,7.0)
8.02 (5.2,12.3)
15.96 (11.1,23.0)
28.46 (19.0,42.7)
39.06 (24.8,61.5)
48.60 (27.9,84.6)
68.53 (35.5,132.3)
White
12.23 (9.5,15.7)
4.16 (2.7,6.5)
9.05 (6.8,12.0)
16.50 (12.6,21.6)
27.08 (20.7,35.5)
35.37 (26.7,46.8)
42.21 (32.0,55.8)
55.55 (40.7,75.8)
Black
15.30 (12.0,19.6)
5.53 (3.1,9.9)
11.77 (8.4,16.5)
21.04 (16.2,27.3)
32.72 (24.7,43.3)
42.43 (32.2,55.9)
49.08 (36.5,66.0)
63.98 (45.5,89.9)
Other race
24.48 (18.0,33.3)
9.28(5.1,16.8)
19.45 (12.2,30.9)
33.79 (24.1,47.4)
51.47 (39.6,66.9)
64.68 (49.3,84.8)
76.63 (57.7,101.8)
101.62 (72.5,142.4)
Table C-5. Total finfish usual fish consumption rate estimates, adults >21 years (continued)
C-9

-------
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th

90th

95th
97th
99th
Region











Midwest
10.24 (7.4,14.1)
3.46 (1.9,6.4)
7.53
(5.0,11.2)
13.90 (10.0,19.4)
22.52
(15.9,31.8)
29.42
(20.3,42.6)
34.34 (22.8,51.7)
45.94 (29.2,72.3)
Northeast
14.64 (10.9,19.6)
4.68(2.8,7.8)
10.83
(7.7,15.2)
20.15 (14.9,27.2)
32.43
(24.0,43.7)
42.51
(32.0,56.4)
49.43 (36.7,66.5)
61.50 (42.6,88.7)
South
13.84 (11.1,17.2)
4.43 (2.9,6.9)
9.82
(7.4,13.0)
18.34 (14.6,23.1)
30.77
(24.5,38.6)
41.57
(32.9,52.5)
49.09 (38.6,62.4)
68.72 (52.4,90.1)
West
15.19 (11.4,20.2)
5.50 (3.5,8.7)
11.42
(8.3,15.7)
20.56 (15.2,27.7)
33.37
(24.9,44.7)
43.13
(32.0,58.1)
49.58 (36.7,67.0)
63.78 (46.0,88.5)
Coastal Status











Noncoastal
12.83 (9.2,17.9)
4.25 (2.2,8.4)
9.41
(6.2,14.2)
17.22 (12.6,23.6)
28.30
(20.8,38.5)
37.18
(27.2,50.8)
44.49 (31.9,62.1)
59.59 (42.2,84.0)
Coastal
14.24 (10.4,19.5)
4.46 (2.9,6.8)
10.11
(7.1,14.4)
19.35 (14.1,26.6)
32.10
(23.5,43.9)
42.40
(31.3,57.4)
49.31 (34.7,70.2)
64.60 (41.5,100.7)
Coastal/Inland Region











Pacific
14.23 (9.9,20.4)
4.81 (3.1,7.4)
10.46
(7.0,15.5)
19.46 (13.5,28.1)
31.64
(22.0,45.5)
41.98
(29.8,59.1)
47.91 (32.0,71.7)
61.39 (37.3,101.0)
Atlantic
14.53 (8.7,24.2)
4.92 (2.5,9.8)
10.63
(5.9,19.1)
19.71 (11.5,33.8)
32.33
(20.2,51.6)
41.52
(26.0,66.2)
48.72 (30.7,77.2)
62.38 (37.4,104.2)
Gulf of Mexico
16.33 (10.8,24.7)
4.15 (2.3,7.5)
10.35
(5.6,19.2)
21.27 (12.8,35.3)
39.99
(22.2,72.0)
51.16
(29.5,88.6)
62.44 (36.5,106.7)
87.20 (53.2,142.8)
Great Lakes
11.35 (7.3,17.7)
3.28(1.7,6.2)
7.81
(4.7,13.0)
16.14 (11.0,23.6)
26.25
(17.0,40.5)
33.30
(19.7,56.4)
38.84 (22.1,68.2)
50.24 (24.6,102.6)
Inland Northeast
14.17 (8.7,23.0)
4.16 (1.9,9.3)
10.49
(6.0,18.2)
19.59 (12.3,31.3)
31.54
(20.1,49.6)
42.49
(25.6,70.6)
49.34 (30.1,80.8)
64.36 (39.1,105.9)
Inland Midwest
9.93 (6.8,14.5)
3.51 (1.6,7.8)
7.46
(4.4,12.5)
13.37 (9.1,19.7)
21.42
(15.1,30.4)
27.66
(19.5,39.3)
32.61 (22.7,46.9)
44.71 (31.2,64.1)
Inland South
13.17 (9.6,18.1)
4.36 (2.1,9.2)
9.65
(6.3,14.8)
17.43 (13.2,23.0)
28.90
(22.0,37.9)
38.14
(29.2,49.9)
45.41 (34.1,60.5)
62.91 (43.9,90.0)
Inland West
16.22 (9.4,28.1)
6.37 (2.7,14.8)
12.46
(7.0,22.0)
21.80 (12.8,37.1)
35.00
(19.9,61.5)
45.08
(26.0,78.3)
51.03 (31.2,83.6)
66.40 (40.9,107.8)
C-10

-------
Table C-6. Total finfish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
5.69 (4.0,8.1)
0.82 (0.5,1.4)
2.64(1.6,4.4)
6.96 (4.7,10.4)
13.83 (10.0,19.1)
20.83 (14.9,29.1)
26.63 (19.0,37.4)
43.57 (29.0,65.5)
vjcllUcl
Female
4.93 (3.5,6.8)
0.72
0.4,1.2)
2.26 (1.4,3.7)
6.09 (4.2,8.9)
12.52 (8.9,17.6)
18.39 (13.2,25.5)
23.43 (17.0,32.3)
35.84 (26.1,49.2)
Male
A np
6.49 (4.3,9.7)
0.96
0.5,1.7)
3.12 (1.7,5.6)
7.74(5.2,11.6)
15.50 (10.8,22.2)
23.42 (16.2,33.9)
29.57 (20.1,43.6)
54.48 (28.7,103.4)
age
1 to <3 yrs
3.09 (2.0,4.8)
0.43
0.2,0.8)
1.32 (0.7,2.4)
3.50 (2.2,5.6)
7.82 (4.9,12.4)
12.20 (7.5,19.9)
16.42 (9.3,28.9)
24.47 (14.9,40.1)
3 to <6 yrs
4.01 (2.4,6.8)
0.69
0.2,2.0)
2.25 (0.9,5.7)
5.07 (2.7,9.4)
9.43 (6.2,14.3)
13.56 (9.3,19.9)
17.25 (11.6,25.6)
26.87 (17.6,41.0)
6 to <11 yrs
6.01 (3.5,10.2)
0.96
0.5,2.0)
3.15 (1.6,6.1)
7.91 (4.5,13.9)
15.26 (8.9,26.2)
21.61 (12.4,37.8)
26.14 (14.8,46.2)
37.04 (21.3,64.5)
11 to <16 yrs
5.15 (3.3,7.9)
0.86
0.5,1.5)
2.67 (1.5,4.8)
6.90 (4.1,11.7)
12.60 (8.2,19.3)
18.06 (11.9,27.4)
22.82 (15.0,34.7)
31.75 (19.4,52.0)
16 to <18 yrs
6.04 (4.2,8.7)
0.81
0.4,1.6)
2.88(1.7,4.8)
7.76 (5.1,11.7)
15.01 (10.0,22.5)
22.53 (15.5,32.8)
28.20 (18.9,42.1)
41.37 (26.1,65.6)
18 to <21 yrs
1 nrnmo
9.59 (5.6,16.4)
1.32
0.7,2.5)
4.35 (2.6,7.3)
11.07 (6.7,18.1)
23.27 (13.2,41.0)
38.86 (19.6,77.2)
50.08 (23.0,109.2)
83.28 (30.1,230.5)
I lllUlllc
<$20,000
5.20 (3.7,7.2)
0.82
0.5,1.4)
2.54(1.6,3.9)
6.41 (4.4,9.3)
12.68 (8.2,19.6)
18.71 (12.2,28.7)
24.36 (16.4,36.2)
38.63 (28.1,53.0)
>$20,000
5.73 (3.9,8.4)
0.82
0.5,1.4)
2.62 (1.6,4.4)
6.98(4.5,10.8)
13.84 (9.7,19.7)
20.83 (14.6,29.7)
26.50 (18.5,37.9)
44.84 (27.8,72.3)
Income unknown
7.51 (2.7,20.7)
1.00
0.4,2.4)
3.61 (1.0,13.4)
8.93 (2.9,27.4)
20.72 (5.7,75.6)
28.93 (10.2,82.1)
35.82 (14.7,87.5)
53.33 (22.2,128.4)
Income, finer detail









<$20,000
5.20 (3.7,7.2)
0.82
0.5,1.4)
2.54(1.6,3.9)
6.41 (4.4,9.3)
12.68 (8.2,19.6)
18.71 (12.2,28.7)
24.36 (16.4,36.2)
38.63 (28.1,53.0)
$20k-$45k
5.74(3.8,8.6)
0.78
0.5,1.2)
2.46 (1.6,3.8)
6.59 (4.5,9.6)
13.84 (9.7,19.7)
20.75 (14.8,29.0)
27.23 (18.8,39.5)
47.72 (25.7,88.5)
$45k-$75k
5.31 (3.5,8.1)
0.71
0.4,1.2)
2.42 (1.3,4.4)
6.58(4.1,10.6)
12.53 (7.9,19.8)
19.69 (12.5,31.0)
24.16 (13.7,42.6)
44.30 (23.5,83.4)
$75k+
5.95 (3.8,9.3)
0.90
0.4,1.9)
2.86 (1.5,5.5)
7.38(4.4,12.3)
14.59 (9.7,22.0)
21.58 (14.3,32.5)
28.04 (17.9,44.0)
43.57 (27.6,68.8)
>$20,000
6.17 (3.2,11.7)
1.22
0.5,3.3)
3.80 (1.7,8.7)
8.26 (3.7,18.4)
14.15 (7.3,27.4)
22.10 (10.1,48.3)
24.42 (11.1,53.9)
38.13 (17.2,84.8)
Inc Ref/DK
6.25 (2.2,17.8)
0.89
0.4,1.9)
3.20 (1.0,10.6)
7.60 (2.3,25.0)
16.53 (4.8,57.3)
24.25 (7.5,77.9)
27.81 (11.2,68.8)
35.41 (18.9,66.3)
Inc missing
9.26 (2.4,35.6)
1.14
0.2,5.3)
4.54(0.7,30.3)
11.29 (2.2,56.8)
26.15 (4.8,141.1)
35.87 (9.5,136.0)
45.92 (13.7,153.4)
54.36 (19.4,152.5)
Race/Ethnicity









Mexican American
4.71 (3.3,6.7)
0.78
0.5,1.3)
2.40 (1.5,3.8)
6.02 (4.1,8.8)
11.40 (7.5,17.3)
16.78 (11.1,25.3)
21.50 (14.4,32.0)
33.34 (22.4,49.5)
Other Hispanic
4.25 (2.1,8.8)
0.56
0.2,1.6)
1.85 (0.8,4.4)
5.06 (2.3,11.4)
10.51 (4.7,23.7)
15.65 (6.9,35.3)
20.43 (9.7,43.0)
38.57 (22.3,66.7)
White
5.47 (3.0,9.9)
0.75
0.4,1.5)
2.34(1.2,4.6)
6.38(3.5,11.6)
12.99 (7.9,21.3)
20.18 (11.4,35.6)
26.07 (14.8,45.8)
45.93 (20.5,102.8)
Black
6.11 (3.9,9.6)
1.24
0.8,2.0)
3.78(2.5,5.7)
8.14(5.2,12.8)
14.48 (8.6,24.5)
19.82 (10.9,35.9)
24.61 (13.8,43.8)
34.12 (17.0,68.4)
Other race
9.79 (6.4,15.0)
1.52
0.7,3.4)
5.35 (2.6,11.1)
13.20 (7.6,22.9)
24.79 (16.8,36.6)
34.30 (24.0,48.9)
41.37 (28.3,60.6)
56.31 (37.3,85.1)
C-ll

-------
Table C-6. Total finfish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
3.59 (2.4,5.5)
0.63 (0.3,1.3)
1.73 (1.0,2.9)
4.68(3.2,6.9)
9.06 (5.9,14.0)
12.87 (7.2,22.9)
15.84 (7.7,32.7)
23.10 (9.1,58.8)
Northeast
7.75 (3.2,19.1)
0.96 (0.5,1.8)
3.05 (1.8,5.2)
7.65 (4.8,12.1)
18.39 (8.3,40.7)
34.24 (9.1,129.4)
44.56 (11.4,174.4)
74.65 (14.5,384.7)
South
5.72 (3.9,8.4)
0.87 (0.5,1.4)
2.76 (1.7,4.4)
7.21 (4.7,11.1)
14.06 (9.4,20.9)
20.39 (13.8,30.1)
25.71 (17.5,37.8)
39.63 (26.7,58.9)
West
6.47 (3.9,10.7)
1.04(0.5,2.3)
3.37 (1.5,7.7)
8.61 (4.5,16.4)
16.11 (9.7,26.7)
23.32 (14.0,38.9)
28.20 (17.0,46.7)
41.40 (26.1,65.7)
Coastal Status








Noncoastal
5.52 (3.5,8.6)
0.80 (0.5,1.3)
2.53 (1.5,4.3)
6.66 (4.4,10.2)
12.99 (8.9,19.0)
20.03 (12.8,31.3)
26.07 (15.9,42.7)
44.91 (21.9,92.1)
Coastal
5.97 (4.2,8.4)
0.87 (0.4,1.7)
2.83 (1.6,5.1)
7.40 (4.8,11.3)
14.93 (10.4,21.4)
21.97 (15.6,30.9)
27.37 (19.1,39.3)
41.02 (27.1,62.0)
Coastal/Inland Region








Pacific
5.13 (3.3,7.9)
0.74(0.4,1.5)
2.54(1.3,4.9)
6.61 (4.0,10.8)
13.43 (8.2,22.1)
19.60 (11.3,33.9)
23.61 (11.8,47.3)
32.16 (12.5,82.6)
Atlantic
6.15 (3.6,10.5)
1.04(0.5,2.2)
3.35 (1.6,7.1)
7.91 (4.3,14.6)
15.34 (9.0,26.1)
21.30 (13.0,34.8)
26.40 (16.2,43.0)
36.91 (21.8,62.6)
Gulf of Mexico
9.54(3.7,24.9)
1.23 (0.4,3.5)
4.56 (1.4,15.2)
12.04 (3.7,39.7)
23.94 (8.3,69.1)
34.50 (14.3,83.5)
43.57 (19.9,95.5)
74.30 (31.8,173.4)
Great Lakes
3.62 (1.3,10.2)
0.62 (0.2,1.6)
1.77 (0.9,3.6)
4.25 (1.6,11.3)
8.72 (2.3,32.5)
13.13 (3.3,52.1)
16.34 (3.9,69.1)
25.16 (5.7,110.4)
Inland Northeast
8.41 (2.7,26.5)
0.80 (0.5,1.3)
2.59 (1.5,4.5)
6.79 (4.2,11.1)
20.63 (6.8,62.2)
43.15 (6.2,301.2)
58.95 (7.1,488.0)
85.32 (10.8,675.7)
Inland Midwest
3.57 (2.5,5.0)
0.63 (0.3,1.4)
1.73 (0.9,3.3)
4.75 (2.8,8.1)
9.14(6.5,12.8)
12.69 (9.2,17.4)
15.66 (11.0,22.3)
22.40 (13.7,36.5)
Inland South
4.65 (2.9,7.4)
0.76 (0.5,1.3)
2.36 (1.4,3.9)
6.22 (3.9,10.0)
11.43 (6.8,19.2)
16.49 (10.0,27.2)
20.64 (12.4,34.3)
28.93 (16.8,50.0)
Inland West
7.59 (3.2,17.8)
1.38(0.4,4.3)
4.34(1.2,15.4)
10.02 (4.0,24.9)
18.67 (8.3,41.7)
25.48 (12.0,54.2)
32.45 (14.7,71.8)
46.84 (22.3,98.3)
C-12

-------
Table C-7. Total shellfish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
5.25 (3.5,8.0)
0.61 (0.3,1.2)
2.13 (1.2,3.9)
6.02 (3.6,10.0)
13.60 (8.9,20.9)
21.23 (14.6,30.8)
27.62 (19.5,39.2)
42.04 (29.4,60.1)
vjciiuci
Female
4.40 (2.9,6.7)
0.52
0.2,1.1)
1.81
1.0,3.4)
5.16 (3.2,8.4)
11.45 (7.6,17.3)
17.38 (11.8,25.6)
22.31 (15.4,32.2)
33.74 (23.0,49.4)
Male
A np
6.27 (4.0,9.7)
0.76
0.4,1.5)
2.54
1.3,4.9)
7.28(4.3,12.5)
16.48 (10.6,25.6)
25.81 (17.9,37.3)
33.01 (23.1,47.2)
49.46 (34.6,70.7)
age
1 to <3 yrs
1.01 (0.5,2.0)
0.10
0.0,0.3)
0.30
0.1,0.7)
0.92 (0.4,2.0)
2.35 (1.1,4.9)
4.17 (1.9,9.0)
6.02 (2.8,13.1)
12.49 (5.2,30.3)
3 to <6 yrs
1.87 (1.0,3.4)
0.22
0.1,0.5)
0.74
0.3,1.6)
2.15 (1.1,4.2)
4.76 (2.5,9.1)
7.39 (4.0,13.7)
10.02 (5.8,17.4)
16.78 (9.6,29.2)
6 to <11 yrs
1.48(0.7,3.3)
0.13
0.0,0.5)
0.44
0.1,1.4)
1.41 (0.5,3.7)
3.61 (1.6,8.2)
6.25 (3.0,13.1)
9.66 (4.9,19.0)
15.89 (6.7,37.6)
11 to <16 yrs
2.19 (0.5,8.9)
0.22
0.1,0.5)
0.69
0.2,1.9)
2.18(0.7,7.0)
5.30 (1.2,24.1)
9.29 (2.0,43.1)
12.25 (2.3,65.8)
19.29 (2.4,157.1)
16 to <18 yrs
3.23 (1.8,5.7)
0.42
0.2,1.0)
1.22
0.6,2.6)
3.79 (1.9,7.4)
7.73 (4.0,15.0)
12.55 (6.9,22.8)
17.83 (10.0,31.8)
30.00 (16.2,55.6)
18 to <21 yrs
5.64(2.6,12.2)
0.61
0.2,1.6)
1.93
0.9,4.1)
6.15 (2.8,13.7)
14.08 (6.8,29.4)
24.84 (9.6,64.5)
32.51 (12.5,84.4)
51.79 (20.7,129.5)
21 to <35 yrs
6.04 (4.3,8.4)
0.91
0.5,1.6)
2.79
1.8,4.4)
7.07 (4.9,10.3)
15.25 (10.9,21.3)
23.19 (16.4,32.9)
29.32 (20.8,41.4)
45.67 (31.2,66.8)
35 to <50 yrs
7.01 (4.5,11.0)
1.22
0.6,2.5)
3.42
1.9,6.0)
8.29 (4.9,13.9)
17.39 (10.9,27.8)
26.33 (16.6,41.9)
33.10 (20.2,54.1)
49.86 (29.3,84.8)
50 to <65 yrs
7.05 (4.0,12.4)
1.39
0.5,3.7)
3.70
1.7,8.3)
8.81 (4.6,16.8)
17.69 (10.5,29.9)
25.40 (15.8,40.8)
30.66 (18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
1 nrn m o
4.51 (2.3,8.8)
0.65
0.2,1.9)
1.92
0.8,4.7)
5.03 (2.1,11.8)
11.56 (5.8,23.1)
18.25 (10.4,32.0)
23.74 (14.2,39.7)
37.46 (25.3,55.4)
1 IllUIIlc
<$20,000
3.96 (2.5,6.3)
0.42
0.2,1.0)
1.45
0.7,3.1)
4.36 (2.4,7.7)
10.36 (6.7,16.1)
16.00 (10.3,24.9)
21.00 (13.6,32.4)
33.73 (22.4,50.9)
>$20,000
5.40 (3.5,8.4)
0.66
0.3,1.3)
2.24
1.2,4.2)
6.26 (3.7,10.7)
13.92 (8.8,22.1)
21.69 (14.6,32.1)
28.12 (19.4,40.8)
42.10 (28.5,62.1)
Income unknown
7.67 (4.4,13.5)
0.87
00
3.12
1.8,5.5)
8.40 (5.1,13.7)
20.39 (11.5,36.0)
31.25 (16.2,60.4)
39.65 (19.7,79.9)
63.65 (26.1,155.2)
Income, finer detail










<$20,000
3.96 (2.5,6.3)
0.42
0.2,1.0)
1.45
0.7,3.1)
4.36 (2.4,7.7)
10.36 (6.7,16.1)
16.00 (10.3,24.9)
21.00 (13.6,32.4)
33.73 (22.4,50.9)
$20k-$45k
4.48(3.1,6.5)
0.55
0.3,1.0)
1.79
1.1,3.0)
5.07 (3.3,7.7)
11.78 (7.8,17.9)
18.13 (12.0,27.3)
23.09 (15.8,33.7)
36.48 (25.0,53.1)
$45k-$75k
5.09 (3.0,8.6)
0.60
0.2,1.5)
2.10
1.0,4.4)
5.88(3.2,10.9)
13.35 (8.1,22.0)
20.51 (12.9,32.6)
26.21 (16.4,41.8)
40.59 (26.5,62.2)
$75k+
6.40 (3.6,11.4)
0.83
0.3,2.0)
2.80
1.2,6.3)
7.66 (3.8,15.5)
16.52 (9.0,30.2)
25.92 (16.6,40.4)
31.91 (19.8,51.4)
48.24 (31.9,73.1)
>$20,000
4.83 (2.5,9.5)
0.78
0.3,1.8)
2.44
1.1,5.5)
6.04(2.9,12.4)
11.72 (5.7,24.0)
19.23 (9.4,39.3)
22.63 (11.5,44.7)
35.42 (18.5,67.8)
Inc Ref/DK
8.95 (4.6,17.4)
1.13
0.5,2.4)
3.92
2.1,7.4)
10.29 (5.7,18.4)
24.03 (11.7,49.2)
37.73 (15.3,93.1)
47.16 (19.2,115.6)
66.11 (28.9,151.2)
Inc missing
5.22 (2.2,12.2)
0.63
0.2,2.1)
2.27
0.7,7.2)
6.26 (2.3,17.4)
15.02 (5.7,39.2)
21.40 (9.0,50.6)
26.81 (11.7,61.6)
37.44 (17.3,80.9)
Race/Ethnicity










Mexican American
5.23 (3.2,8.5)
0.57
0.3,1.1)
2.08
1.2,3.7)
6.03 (3.6,10.2)
14.28 (9.3,22.0)
21.02 (13.1,33.8)
26.71 (16.0,44.7)
40.09 (20.6,78.0)
Other Hispanic
5.84(3.5,9.8)
0.39
0.1,1.1)
1.89
0.9,3.9)
6.58(3.7,11.6)
16.30 (9.5,27.9)
25.12 (14.7,43.0)
32.42 (18.5,56.7)
54.95 (30.5,99.1)
White
4.93 (2.9,8.3)
0.60
0.3,1.3)
2.04
1.0,4.0)
5.66 (3.0,10.6)
12.66 (7.2,22.4)
19.85 (12.2,32.2)
25.94 (16.7,40.2)
39.73 (26.3,60.1)
Black
4.32 (2.9,6.4)
0.61
0.3,1.4)
2.00
1.1,3.7)
5.27 (3.3,8.3)
11.08 (7.6,16.1)
16.00 (10.8,23.6)
20.73 (14.5,29.5)
31.18 (21.5,45.3)
Other race
10.11 (5.2,19.7)
1.34
0.7,2.7)
5.13 (2.0,12.9)
13.00 (5.9,28.7)
25.78 (13.2,50.4)
39.47 (18.6,83.7)
46.46 (25.3,85.3)
69.15 (37.5,127.6)
C-13

-------
Table C-7. Total shellfish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.91 (1.5,5.5)
0.38(0.2,0.8)
1.18(0.5,2.6)
3.19 (1.5,6.9)
7.11 (3.6,14.2)
11.20 (5.9,21.1)
14.64 (7.6,28.4)
26.90 (16.0,45.4)
Northeast
7.98 (4.8,13.3)
0.82 (0.2,3.0)
3.40 (1.4,8.2)
9.50 (4.6,19.6)
21.43 (13.7,33.5)
31.31 (20.5,47.9)
39.34 (26.1,59.4)
58.08 (37.5,89.9)
South
5.57 (3.7,8.5)
0.76 (0.4,1.4)
2.48(1.5,4.2)
6.63 (4.2,10.5)
14.42 (9.2,22.6)
21.59 (14.0,33.4)
27.59 (18.1,42.0)
41.44 (28.2,61.0)
West
5.46 (3.2,9.3)
0.75 (0.4,1.6)
2.47 (1.2,5.0)
6.59 (3.6,12.2)
14.04 (8.1,24.2)
21.23 (13.1,34.5)
26.56 (16.1,43.9)
40.07 (24.4,65.8)
Coastal Status








Noncoastal
4.32 (2.7,6.9)
0.52 (0.3,1.0)
1.71 (0.9,3.2)
4.77 (2.7,8.4)
10.88 (6.6,18.0)
17.12 (10.6,27.6)
22.93 (14.7,35.7)
37.65 (24.4,58.2)
Coastal
6.70 (4.2,10.8)
0.86 (0.4,2.0)
3.07 (1.6,6.0)
8.29 (4.7,14.6)
17.55 (10.9,28.3)
26.08 (17.0,40.0)
32.16 (21.1,48.9)
47.92 (32.9,69.7)
Coastal/Inland Region








Pacific
6.15 (3.4,11.1)
0.77 (0.3,1.8)
2.91 (1.4,5.9)
7.74(4.1,14.7)
16.12 (8.8,29.6)
23.74 (13.2,42.7)
29.40 (16.5,52.5)
42.89 (23.4,78.5)
Atlantic
6.88(3.2,14.9)
1.01 (0.3,3.5)
3.46 (1.2,9.6)
8.80 (3.7,21.0)
17.76 (8.4,37.5)
25.93 (13.6,49.3)
31.29 (16.4,59.7)
45.19 (25.8,79.3)
Gulf of Mexico
9.80 (5.0,19.1)
1.52 (0.4,5.3)
5.04(1.8,13.7)
12.86 (5.8,28.6)
25.38 (12.6,51.0)
35.10 (18.9,65.2)
42.99 (24.5,75.5)
60.66 (37.7,97.6)
Great Lakes
4.35 (2.5,7.6)
0.49 (0.2,1.5)
1.55 (0.5,4.6)
4.53 (2.2,9.4)
10.35 (5.7,18.9)
17.27 (9.9,30.1)
26.05 (14.7,46.3)
44.34 (22.6,87.2)
Inland Northeast
8.52 (5.4,13.4)
0.67 (0.1,3.6)
3.05 (1.1,8.7)
9.87 (5.2,18.6)
23.45 (14.7,37.5)
35.55 (21.6,58.4)
44.13 (26.7,72.9)
67.46 (37.3,121.9)
Inland Midwest
2.50 (1.3,4.8)
0.35 (0.2,0.8)
1.09 (0.5,2.3)
2.90 (1.4,6.0)
6.32 (3.2,12.5)
9.61 (4.9,19.0)
12.59 (6.6,24.1)
20.69 (11.2,38.3)
Inland South
3.97 (2.7,5.9)
0.60 (0.3,1.1)
1.92 (1.1,3.3)
4.90 (3.2,7.6)
10.02 (6.8,14.8)
14.76 (10.0,21.8)
18.52 (12.6,27.2)
27.72 (19.1,40.2)
Inland West
4.77 (2.4,9.6)
0.72 (0.3,1.7)
2.15 (0.9,5.3)
5.62 (2.5,12.4)
12.16 (6.1,24.4)
18.99 (10.6,34.2)
23.93 (13.3,43.1)
36.21 (19.8,66.3)
C-14

-------
Table C-8. Total shellfish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
^onrloi'
6.35 (4.2,9.6)
1.03 (0.5,2.2)
3.01 (1.7,5.4)
7.56 (4.6,12.5)
15.99 (10.6,24.2)
24.18 (16.9,34.5)
30.09 (20.8,43.5)
45.50 (31.9,64.9)
VJcllUcI
Female
5.24(3.5,7.9)
0.87
0.4,1.8)
2.54
1.4,4.5)
6.29 (3.8,10.3)
13.21 (8.8,19.8)
19.65 (13.7,28.2)
24.33 (16.8,35.3)
36.72 (25.6,52.7)
Male
A np
7.78(5.0,12.0)
1.36
0.7,2.8)
3.77
2.0,7.2)
9.34(5.5,16.0)
19.96 (13.3,29.9)
29.28 (20.3,42.3)
37.02 (26.2,52.3)
52.89 (36.0,77.7)
age
21 to <35 yrs
6.04 (4.3,8.4)
0.91
0.5,1.6)
2.79
1.8,4.4)
7.07 (4.9,10.3)
15.25 (10.9,21.3)
23.19 (16.4,32.9)
29.32 (20.8,41.4)
45.67 (31.2,66.8)
35 to <50 yrs
7.01 (4.5,11.0)
1.22
0.6,2.5)
3.42
1.9,6.0)
8.29 (4.9,13.9)
17.39 (10.9,27.8)
26.33 (16.6,41.9)
33.10 (20.2,54.1)
49.86 (29.3,84.8)
50 to <65 yrs
7.05 (4.0,12.4)
1.39
0.5,3.7)
3.70
1.7,8.3)
8.81 (4.6,16.8)
17.69 (10.5,29.9)
25.40 (15.8,40.8)
30.66 (18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
4.51 (2.3,8.8)
0.65
0.2,1.9)
1.92
0.8,4.7)
5.03 (2.1,11.8)
11.56 (5.8,23.1)
18.25 (10.4,32.0)
23.74 (14.2,39.7)
37.46 (25.3,55.4)
WCA (13-49 years)
1 nrnmo
4.95 (3.4,7.1)
0.69
0.4,1.3)
2.24
1.4,3.7)
5.85 (3.8,8.9)
12.53 (8.6,18.4)
18.66 (12.8,27.1)
24.02 (16.8,34.4)
37.23 (25.2,55.0)
1 IllUIIlC
<$20,000
4.76 (3.0,7.6)
0.65
0.3,1.6)
2.05
1.0,4.1)
5.52 (3.2,9.6)
12.05 (7.6,19.1)
18.57 (12.1,28.4)
23.88 (15.7,36.2)
39.56 (26.9,58.2)
>$20,000
6.54 (4.2,10.1)
1.12
0.5,2.4)
3.18
1.7,5.8)
7.84 (4.7,13.2)
16.48 (10.8,25.2)
24.69 (17.0,35.9)
30.59 (20.7,45.3)
45.20 (30.3,67.5)
Income unknown
9.00 (5.2,15.6)
1.51
0.7,3.2)
4.41
2.6,7.6)
10.50 (6.4,17.3)
22.62 (12.9,39.6)
34.76 (17.2,70.4)
46.50 (18.6,116.5)
66.11 (26.4,165.5)
Income, finer detail










<$20,000
4.76 (3.0,7.6)
0.65
0.3,1.6)
2.05
1.0,4.1)
5.52 (3.2,9.6)
12.05 (7.6,19.1)
18.57 (12.1,28.4)
23.88 (15.7,36.2)
39.56 (26.9,58.2)
$20k-$45k
5.39 (3.7,7.8)
0.88
0.5,1.6)
2.50
1.5,4.1)
6.28(4.2,9.5)
13.81 (9.1,21.0)
20.43 (13.7,30.6)
25.21 (17.8,35.7)
38.84 (27.4,55.1)
$45k-$75k
6.17 (3.7,10.2)
1.01
0.4,2.6)
2.93
1.4,6.0)
7.38(4.1,13.2)
15.80 (9.8,25.5)
23.53 (14.9,37.1)
29.00 (18.1,46.5)
43.18 (27.6,67.6)
$75k+
7.83 (4.4,14.0)
1.54
0.6,3.8)
4.08
1.9,8.9)
9.44 (4.5,20.0)
19.69 (11.6,33.4)
28.64 (18.0,45.5)
35.29 (22.1,56.2)
50.60 (31.8,80.5)
>$20,000
5.56 (2.8,11.2)
1.03
0.4,2.8)
2.87
1.2,6.8)
6.98(3.4,14.4)
13.18 (6.2,28.2)
20.43 (10.1,41.1)
24.30 (11.7,50.3)
37.71 (18.8,75.6)
Inc Ref/DK
10.28 (5.3,20.0)
1.73
0.9,3.4)
5.13
2.7,9.6)
12.28 (6.9,22.0)
26.56 (12.8,55.0)
39.43 (16.8,92.7)
55.89 (16.4,191.0)
68.50 (29.3,160.0)
Inc missing
6.10 (2.5,15.0)
1.03
0.3,3.8)
2.90
0.9,9.6)
7.13 (2.3,22.1)
17.46 (6.4,47.9)
22.57 (9.7,52.7)
24.73 (10.4,58.9)
37.44 (18.0,77.8)
Race/Ethnicity










Mexican American
7.11 (4.4,11.5)
1.34
0.7,2.6)
3.54
1.9,6.6)
9.04(5.7,14.4)
18.09 (11.6,28.2)
25.25 (15.3,41.8)
31.69 (19.0,52.9)
46.21 (24.4,87.7)
Other Hispanic
8.24 (4.7,14.4)
1.21
0.6,2.4)
3.87
2.1,7.0)
9.72 (5.4,17.4)
21.39 (11.5,39.8)
31.76 (17.2,58.5)
38.12 (20.4,71.1)
59.42 (31.9,110.8)
White
5.85 (3.4,10.1)
0.95
0.4,2.3)
2.75
1.3,5.7)
6.96 (3.7,13.2)
14.74 (8.4,25.7)
22.25 (13.7,36.1)
28.42 (18.1,44.6)
41.99 (26.7,65.9)
Black
5.29 (3.7,7.5)
1.02
0.5,2.0)
2.83
1.7,4.7)
6.61 (4.4,9.8)
13.07 (9.2,18.6)
18.57 (13.0,26.5)
22.97 (16.0,32.9)
34.03 (22.9,50.6)
Other race
11.95 (6.2,23.1)
2.20
1.1,4.4)
6.86 (2.9,16.3)
15.49 (7.5,32.1)
29.57 (14.9,58.7)
41.83 (21.9,79.9)
49.50 (28.0,87.5)
76.70 (36.5,161.0)
C-15

-------
Table C-8. Total shellfish usual fish consumption rate estimates, adults >21 years (continued)






Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
3.18 (1.6,6.4)
0.57
(0.2,1.4)
1.52 (0.6,3.8)
3.66 (1.6,8.5)
7.49 (3.4,16.4)
11.35 (5.5,23.3)
14.04 (6.3,31.4)
25.98 (15.7,43.1)
Northeast
10.16 (6.3,16.4)
1.82
(0.7,4.9)
5.45 (2.7,11.2)
12.83 (7.2,22.9)
25.65 (16.8,39.1)
36.22 (24.0,54.6)
44.19 (28.8,67.9)
63.65 (40.2,100.8)
South
6.89 (4.5,10.6)
1.33
(0.7,2.5)
3.60 (2.1,6.1)
8.52 (5.3,13.6)
17.16 (10.8,27.3)
24.78 (15.9,38.6)
30.72 (20.3,46.6)
45.31 (31.0,66.3)
West
6.41 (3.7,11.1)
1.23
(0.5,3.0)
3.41 (1.6,7.1)
7.95 (4.2,15.1)
16.30 (9.9,26.9)
23.45 (14.7,37.4)
28.40 (17.5,46.2)
42.01 (26.4,66.8)
Coastal Status









Noncoastal
5.27 (3.2,8.7)
0.83
(0.4,1.8)
2.37 (1.2,4.7)
5.98(3.3,10.9)
12.94 (7.7,21.7)
20.22 (12.9,31.8)
26.12 (16.5,41.4)
41.57 (26.3,65.7)
Coastal
8.05 (5.0,12.9)
1.58
(0.8,3.3)
4.43 (2.4,8.1)
10.22 (6.0,17.5)
20.19 (12.8,31.8)
28.47 (18.7,43.3)
34.86 (23.2,52.3)
49.89 (34.5,72.2)
Coastal/Inland Region









Pacific
6.97 (3.7,13.1)
1.48
(0.6,3.4)
3.96 (1.9,8.3)
9.08(4.7,17.6)
17.25 (9.3,32.2)
24.42 (13.5,44.0)
29.20 (16.1,52.9)
40.71 (21.5,77.0)
Atlantic
8.47 (4.2,17.0)
1.95
(0.7,5.1)
5.13 (2.3,11.6)
11.11 (5.2,23.7)
20.78 (10.7,40.2)
28.22 (14.8,53.7)
33.96 (18.0,63.9)
48.79 (29.0,82.2)
Gulf of Mexico
12.85 (6.8,24.3)
3.21
(1.1,9.1)
7.88(3.3,18.9)
17.27 (8.0,37.1)
29.60 (16.1,54.5)
41.15 (22.9,74.0)
49.27 (29.2,83.1)
73.41 (40.7,132.5)
Great Lakes
4.54(2.6,7.8)
0.69
(0.2,2.6)
1.94(0.6,5.9)
4.85 (2.1,10.9)
10.10 (5.1,20.1)
15.90 (8.9,28.5)
25.98 (14.0,48.4)
44.34 (20.0,98.2)
Inland Northeast
11.10 (6.8,18.0)
1.66
(0.5,5.1)
5.45 (2.6,11.5)
13.83 (8.0,24.0)
28.96 (17.3,48.6)
39.50 (23.7,65.9)
49.86 (29.3,84.8)
78.07 (38.7,157.4)
Inland Midwest
2.82 (1.3,6.0)
0.54
(0.2,1.2)
1.45 (0.6,3.3)
3.42 (1.5,7.7)
7.03 (3.3,14.9)
10.18 (4.7,22.1)
12.79 (5.8,28.1)
20.01 (9.5,42.3)
Inland South
4.77 (3.2,7.2)
0.98
(0.5,1.9)
2.63 (1.5,4.5)
5.93 (3.9,9.1)
11.75 (7.5,18.4)
16.33 (11.1,24.1)
20.87 (13.5,32.3)
31.29 (19.6,49.9)
Inland West
5.80 (2.9,11.6)
1.02
(0.3,3.5)
2.75 (0.9,8.4)
6.93 (3.1,15.8)
14.83 (7.9,27.7)
22.16 (12.9,38.0)
26.55 (14.6,48.4)
42.31 (25.8,69.3)
C-16

-------
Table C-9. Total shellfish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onrloi'
2.50 (1.5,4.2)
0.21 (0.1,0.4)
0.72 (0.4,1.4)
2.32 (1.3,4.2)
6.16 (3.6,10.5)
10.71 (6.4,17.8)
14.43 (8.2,25.4)
27.85 (16.2,47.8)
VJcMUcI
Female
2.11 (1.3,3.5)
0.18
0.1,0.4)
0.58
0.3,1.2)
1.93 (1.0,3.6)
5.27 (3.1,8.9)
9.41 (5.7,15.5)
12.77 (7.8,20.9)
24.16 (14.2,41.1)
Male
A fTQ
2.90 (1.7,5.0)
0.25
0.1,0.5)
0.88
0.5,1.6)
2.74(1.5,5.0)
7.15 (4.0,12.6)
12.09 (6.7,21.8)
16.43 (8.7,31.0)
30.85 (17.0,55.9)
Mge
1 to <3 yrs
1.01 (0.5,2.0)
0.10
0.0,0.3)
0.30
0.1,0.7)
0.92 (0.4,2.0)
2.35 (1.1,4.9)
4.17 (1.9,9.0)
6.02 (2.8,13.1)
12.49 (5.2,30.3)
3 to <6 yrs
1.87 (1.0,3.4)
0.22
0.1,0.5)
0.74
0.3,1.6)
2.15 (1.1,4.2)
4.76 (2.5,9.1)
7.39 (4.0,13.7)
10.02 (5.8,17.4)
16.78 (9.6,29.2)
6 to <11 yrs
1.48(0.7,3.3)
0.13
0.0,0.5)
0.44
0.1,1.4)
1.41 (0.5,3.7)
3.61 (1.6,8.2)
6.25 (3.0,13.1)
9.66 (4.9,19.0)
15.89 (6.7,37.6)
11 to <16 yrs
2.19 (0.5,8.9)
0.22
0.1,0.5)
0.69
0.2,1.9)
2.18(0.7,7.0)
5.30 (1.2,24.1)
9.29 (2.0,43.1)
12.25 (2.3,65.8)
19.29 (2.4,157.1)
16 to <18 yrs
3.23 (1.8,5.7)
0.42
0.2,1.0)
1.22
0.6,2.6)
3.79 (1.9,7.4)
7.73 (4.0,15.0)
12.55 (6.9,22.8)
17.83 (10.0,31.8)
30.00 (16.2,55.6)
18 to <21 yrs
1 nrnmo
5.64(2.6,12.2)
0.61
0.2,1.6)
1.93
0.9,4.1)
6.15 (2.8,13.7)
14.08 (6.8,29.4)
24.84 (9.6,64.5)
32.51 (12.5,84.4)
51.79 (20.7,129.5)
1 IllUIIlC
<$20,000
2.32 (1.4,3.8)
0.21
0.1,0.4)
0.67
0.3,1.4)
2.19 (1.2,4.1)
5.85 (3.5,9.8)
10.87 (6.8,17.3)
14.17 (9.0,22.4)
23.63 (14.4,38.8)
>$20,000
2.44(1.4,4.3)
0.21
O
o
0.71
0.4,1.4)
2.29 (1.2,4.2)
6.03 (3.4,10.8)
10.38 (5.9,18.2)
14.02 (7.5,26.3)
26.66 (14.7,48.3)
Income unknown
4.64(1.9,11.2)
0.30
0.1,0.8)
1.23
0.5,2.9)
4.32 (1.7,10.7)
11.20 (4.5,27.6)
25.21 (5.7,110.9)
31.03 (9.1,105.8)
47.21 (16.8,132.8)
Income, finer detail










<$20,000
2.32 (1.4,3.8)
0.21
0.1,0.4)
0.67
0.3,1.4)
2.19 (1.2,4.1)
5.85 (3.5,9.8)
10.87 (6.8,17.3)
14.17 (9.0,22.4)
23.63 (14.4,38.8)
$20k-$45k
2.22 (1.3,3.7)
0.20
0.1,0.4)
0.66
0.4,1.2)
2.10 (1.2,3.6)
5.55 (3.3,9.2)
9.41 (5.5,16.0)
12.98 (7.6,22.2)
24.02 (12.8,45.2)
$45k-$75k
2.09 (0.9,4.7)
0.18
0.1,0.5)
0.62
0.3,1.4)
2.04(0.9,4.6)
5.10 (2.1,12.4)
8.29 (3.1,21.9)
12.30 (5.7,26.8)
20.24 (7.8,52.8)
$75k+
2.85 (1.5,5.5)
0.24
0.1,0.5)
0.81
0.4,1.7)
2.59 (1.2,5.5)
7.13 (3.7,13.7)
12.17 (6.0,24.6)
16.65 (7.7,35.9)
31.26 (15.0,65.2)
>$20,000
2.48(1.2,5.3)
0.29
0.1,0.8)
0.95
0.4,2.4)
2.74(1.1,6.6)
6.75 (2.9,15.8)
9.80 (3.9,24.7)
11.76 (4.0,34.3)
18.06 (5.8,56.4)
Inc Ref/DK
5.31 (1.9,15.0)
0.39
0.1,1.2)
1.41
0.5,4.0)
4.87 (1.6,14.8)
12.25 (4.1,36.5)
28.75 (5.9,139.0)
36.14 (9.4,138.6)
47.21 (17.6,126.8)
Inc missing
3.72 (1.2,11.1)
0.24
0.1,0.9)
0.88
0.3,3.0)
3.40 (1.1,10.4)
8.40 (3.1,22.9)
17.06 (4.7,62.2)
31.03 (3.5,272.0)
42.68 (8.1,226.0)
Race/Ethnicity










Mexican American
2.32 (1.2,4.6)
0.21
0.1,0.5)
0.70
0.3,1.5)
2.25 (1.2,4.4)
5.70 (3.0,10.9)
9.88(5.4,18.0)
13.51 (6.9,26.7)
23.95 (9.8,58.4)
Other Hispanic
1.48(0.2,13.0)
0.11
0.0,0.7)
0.35
0.0,3.2)
1.33 (0.1,11.9)
3.54 (0.3,43.5)
6.51 (0.6,65.6)
9.96 (1.3,75.1)
15.15 (1.5,153.1)
White
2.23 (1.2,4.0)
0.20
0.1,0.4)
0.63
0.3,1.3)
2.09 (1.1,3.9)
5.43 (3.0,9.9)
9.14(4.9,16.9)
12.92 (6.9,24.3)
25.16 (12.6,50.4)
Black
2.36 (1.0,5.7)
0.29
0.1,0.8)
0.87
0.3,2.5)
2.47 (0.9,6.5)
5.98(2.6,13.9)
9.82 (4.5,21.4)
12.98 (5.7,29.8)
20.61 (7.4,57.1)
Other race
6.17 (2.6,14.6)
0.61
0.2,1.7)
2.09
0.9,5.1)
7.17 (2.6,19.6)
16.32 (6.6,40.6)
25.38 (10.2,63.1)
35.81 (12.7,100.9)
51.86 (22.1,122.0)
C-17

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Table C-9. Total shellfish usual fish consumption rate estimates, youth <21 years (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.22 (1.0,5.0)
0.15 (0.0,0.4)
0.51 (0.2,1.3)
1.63 (0.7,3.9)
5.09 (2.2,11.9)
10.44 (4.4,24.9)
15.75 (6.3,39.7)
29.84 (10.5,84.8)
Northeast
2.29 (0.7,7.3)
0.18(0.0,1.2)
0.61 (0.1,3.9)
2.16 (0.5,9.6)
5.53 (1.5,21.0)
9.31 (2.8,31.0)
12.47 (3.7,41.9)
26.93 (12.3,58.7)
South
2.18(1.3,3.8)
0.26 (0.1,0.6)
0.79 (0.4,1.6)
2.36 (1.3,4.3)
5.66 (3.3,9.6)
8.64(4.7,15.8)
11.89 (6.9,20.3)
18.95 (10.6,33.8)
West
3.29 (1.6,6.7)
0.25 (0.1,0.5)
0.97 (0.5,2.0)
3.05 (1.5,6.1)
8.31 (4.0,17.4)
13.89 (6.7,28.9)
19.18 (8.7,42.1)
37.25 (14.7,94.2)
Coastal Status








Noncoastal
1.99 (1.2,3.3)
0.20 (0.1,0.4)
0.63 (0.3,1.2)
2.01 (1.1,3.5)
5.01 (3.0,8.4)
8.41 (5.1,13.9)
11.71 (7.1,19.4)
19.30 (11.2,33.3)
Coastal
3.31 (1.7,6.5)
0.24(0.1,0.7)
0.87 (0.3,2.2)
2.97 (1.3,6.8)
8.23 (3.9,17.2)
14.07 (6.6,29.9)
19.80 (9.6,40.9)
37.52 (19.5,72.3)
Coastal/Inland Region








Pacific
4.01 (1.7,9.7)
0.17 (0.1,0.4)
0.76 (0.4,1.6)
2.87 (1.4,5.8)
10.85 (4.3,27.6)
19.30 (6.9,54.0)
29.88 (8.7,103.0)
51.88 (14.0,192.2)
Atlantic
2.58(0.7,9.7)
0.25 (0.0,1.4)
0.82 (0.2,4.3)
2.53 (0.5,12.6)
6.55 (1.6,26.4)
10.45 (2.6,42.3)
13.12 (2.8,62.2)
28.22 (11.8,67.5)
Gulf of Mexico
3.05 (1.1,8.1)
0.38(0.1,1.6)
1.30 (0.3,4.9)
3.62 (1.1,12.0)
7.98(2.9,21.9)
12.16 (4.8,31.1)
16.28 (6.2,43.0)
23.08 (10.3,51.5)
Great Lakes
3.93 (1.3,11.8)
0.26 (0.1,0.7)
0.87 (0.3,2.6)
3.46 (1.3,9.5)
11.17 (3.5,35.5)
18.58 (5.4,63.4)
26.13 (7.3,93.0)
40.16 (11.1,145.6)
Inland Northeast
1.66 (0.3,8.4)
0.14(0.0,1.6)
0.43 (0.0,6.1)
1.53 (0.2,13.5)
4.25 (0.8,22.9)
7.10 (1.6,31.8)
9.01 (1.8,44.8)
13.39 (2.1,84.7)
Inland Midwest
1.67 (0.6,4.4)
0.12 (0.0,0.5)
0.42 (0.1,1.5)
1.33 (0.5,3.9)
3.73 (1.5,9.5)
7.17 (2.6,19.5)
11.39 (3.3,39.4)
24.02 (4.8,120.1)
Inland South
1.93 (1.2,3.1)
0.25 (0.1,0.6)
0.71 (0.4,1.4)
2.13 (1.2,3.7)
4.92 (3.0,8.0)
7.53 (4.6,12.3)
10.21 (6.3,16.6)
17.52 (10.5,29.1)
Inland West
2.70 (1.2,6.2)
0.33 (0.1,0.8)
1.17 (0.4,3.3)
3.17 (1.3,8.0)
7.13 (2.9,17.5)
11.12 (4.7,26.5)
13.84 (5.9,32.3)
20.50 (7.1,59.1)
C-18

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Table C-10. Marine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
10.78 (8.3,14.0)
2.36 (1.3,4.4)
7.02 (4.4,11.1)
14.80 (11.1,19.8)
25.71 (20.4,32.5)
34.12 (27.3,42.7)
40.50 (31.9,51.5)
56.36 (43.8,72.5)
vjciiuci
Female
9.92 (7.4,13.3)
2.18(1.1,4.2)
6.59 (3.9,11.1)
13.73 (9.9,19.0)
23.52 (18.3,30.2)
31.30 (24.7,39.7)
36.90
29.0,46.9)
50.88 (39.2,66.1)
Male
A np
11.82 (9.2,15.2)
2.58(1.4,4.6)
7.62 (5.0,11.5)
16.26 (12.2,21.7)
28.23 (22.3,35.7)
37.50 (29.7,47.3)
44.46
34.7,56.9)
62.79 (48.3,81.7)
age
1 to <3 yrs
3.27 (1.8,5.8)
0.45 (0.2,0.9)
1.51 (0.7,3.4)
3.76 (2.1,6.9)
8.06 (4.7,13.8)
13.33 (6.6,26.8)
16.74 (9.1,30.8)
25.29 (14.3,44.6)
3 to <6 yrs
4.47 (2.3,8.9)
0.80 (0.3,2.4)
2.55 (0.9,7.2)
5.83 (2.8,12.1)
11.13 (5.7,21.8)
15.55 (8.5,28.6)
18.36
11.2,30.1)
25.82 (16.4,40.7)
6 to <11 yrs
6.10 (3.0,12.3)
0.95 (0.4,2.0)
3.04 (1.5,6.3)
7.90 (3.9,16.1)
16.04 (7.2,35.9)
22.28
10.6,46.9)
27.50
12.9,58.5)
38.96 (18.8,80.7)
11 to <16 yrs
5.22 (3.3,8.3)
0.89 (0.4,1.9)
2.65 (1.3,5.3)
6.75 (4.0,11.4)
12.96 (8.0,21.0)
18.85
11.6,30.7)
23.22
14.2,38.1)
34.83 (20.5,59.3)
16 to <18 yrs
6.85 (4.4,10.7)
1.04(0.6,1.9)
3.37 (1.8,6.1)
9.45 (5.3,17.0)
17.30
11.5,26.0)
23.73
16.4,34.4)
29.32
19.9,43.2)
39.02 (25.8,59.1)
18 to <21 yrs
10.83 (5.7,20.7)
1.59 (0.8,3.1)
4.81 (2.7,8.5)
13.23 (7.4,23.6)
28.61
14.1,58.2)
39.99
20.7,77.4)
47.22
25.3,88.1)
84.81 (28.2,254.7)
21 to <35 yrs
10.52 (7.6,14.6)
2.72 (1.2,6.1)
7.26 (3.9,13.5)
14.09 (9.9,20.0)
23.75
18.4,30.6)
32.01
25.2,40.6)
37.98
29.7,48.5)
52.46 (38.2,72.0)
35 to <50 yrs
11.78 (9.1,15.3)
4.08(2.7,6.2)
8.98(6.6,12.3)
16.22 (12.6,20.8)
25.71
18.8,35.1)
32.97
22.4,48.6)
38.15
24.3,59.9)
49.80 (28.9,85.8)
50 to <65 yrs
17.25 (10.8,27.6)
6.18 (3.1,12.3)
13.10 (7.4,23.2)
23.73 (14.7,38.4)
37.49
24.2,58.2)
48.33
30.8,75.9)
56.36
35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
1 nrniYto
11.69 (8.5,16.1)
3.69 (2.3,6.0)
8.43 (5.8,12.2)
16.32 (12.2,21.8)
26.30
18.6,37.2)
34.06
23.1,50.3)
39.34
25.0,61.9)
51.11 (30.3,86.1)
1 IllUlllc
<$20,000
8.48(6.6,10.9)
1.54(1.0,2.5)
4.90 (3.4,7.0)
11.39 (8.7,15.0)
20.72
16.0,26.8)
28.61
22.3,36.6)
34.84
27.0,44.9)
49.32 (36.8,66.2)
>$20,000
11.18 (8.5,14.7)
2.57 (1.3,5.0)
7.43 (4.6,11.9)
15.37 (11.4,20.6)
26.28
20.8,33.2)
34.93
27.7,44.0)
41.26
32.2,52.9)
57.29 (44.5,73.8)
Income unknown
12.25 (6.4,23.4)
2.70 (0.8,9.3)
8.17 (2.9,22.9)
17.87 (7.8,41.2)
29.36
16.6,52.0)
37.87
24.4,58.8)
42.94
30.2,61.0)
52.82 (34.7,80.3)
Income, finer detail











<$20,000
8.48(6.6,10.9)
1.54(1.0,2.5)
4.90 (3.4,7.0)
11.39 (8.7,15.0)
20.72
16.0,26.8)
28.61
22.3,36.6)
34.84
27.0,44.9)
49.32 (36.8,66.2)
$20k-$45k
9.54(6.8,13.5)
2.02 (1.0,3.9)
6.01 (3.6,10.1)
12.81 (8.9,18.4)
22.59
16.9,30.2)
30.69
23.1,40.7)
36.56
27.7,48.3)
51.11 (38.5,67.9)
$45k-$75k
10.75 (7.9,14.6)
2.43 (1.3,4.5)
7.05 (4.4,11.2)
14.69 (10.5,20.6)
25.09
18.5,34.0)
33.64
24.9,45.5)
40.17
29.2,55.3)
58.40 (43.0,79.2)
$75k+
12.85 (9.9,16.6)
3.40 (1.6,7.1)
9.17 (5.8,14.5)
18.09 (13.6,24.1)
29.62
23.5,37.4)
38.79
30.6,49.2)
45.24
35.5,57.7)
59.26 (44.5,78.9)
>$20,000
10.67 (6.5,17.6)
2.83 (1.2,6.4)
7.29 (3.8,14.1)
14.40 (8.7,23.9)
24.55
15.5,38.9)
31.55
19.8,50.3)
36.92
22.9,59.5)
55.21 (31.8,96.0)
Inc Ref/DK
12.61 (6.2,25.8)
2.93 (0.8,10.5)
8.82 (2.8,27.4)
18.35 (7.7,43.7)
29.38
16.3,53.0)
37.74
23.2,61.5)
40.43
27.9,58.7)
51.51 (31.6,84.1)
Inc missing
11.56 (5.1,26.0)
2.24(0.6,9.1)
7.10 (2.3,22.3)
16.39 (6.1,44.3)
28.83
12.7,65.2)
38.00
19.2,75.1)
46.58
23.0,94.4)
55.70 (30.1,103.1)
Race/Ethnicity











Mexican American
8.41 (5.7,12.4)
1.48(0.9,2.6)
5.05 (2.8,9.1)
11.62 (7.4,18.2)
20.56
14.3,29.6)
27.87
19.7,39.3)
33.63
24.1,47.0)
46.60 (33.9,64.0)
Other Hispanic
8.24(5.9,11.5)
1.43 (0.9,2.4)
5.07 (3.4,7.6)
11.53 (8.2,16.2)
20.10
14.4,28.0)
26.82
18.1,39.8)
32.48
21.6,49.0)
45.65 (28.1,74.2)
White
10.93 (8.3,14.4)
2.54 (1.2,5.2)
7.25 (4.6,11.5)
14.87 (11.2,19.7)
25.76
20.1,33.0)
34.19
26.5,44.1)
40.65
31.0,53.3)
56.75 (43.0,74.8)
Black
9.89 (7.5,13.1)
2.19 (1.4,3.5)
6.43 (4.2,9.9)
13.68 (9.8,19.0)
24.05
17.8,32.5)
31.81
24.4,41.4)
36.84
29.1,46.7)
49.24 (36.8,65.8)
Other race
16.76 (12.0,23.3)
4.61 (2.1,10.1)
13.07 (6.3,26.9)
23.20 (16.7,32.3)
36.99
29.6,46.3)
46.09
35.9,59.1)
57.27
43.1,76.2)
79.75 (54.2,117.4)
C-19

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Table C-10. Marine fish usual fish consumption rate estimates, all ages (continued)





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
8.19 (5.6,12.1)
1.72 (0.8,3.8)
5.22 (2.9,9.5)
10.98 (7.3,16.6)
19.57 (13.5,28.3)
26.68 (18.9,37.6)
31.70 (22.6,44.5)
44.64 (31.7,62.9)
Northeast
13.97 (10.6,18.3)
3.04(1.8,5.0)
9.25 (6.8,12.6)
19.55 (15.0,25.5)
32.96 (25.0,43.5)
42.70 (32.1,56.8)
51.00 (38.3,67.9)
74.26 (48.9,112.7)
South
10.04 (7.7,13.1)
2.26 (1.3,4.0)
6.69 (4.2,10.6)
13.73 (10.1,18.6)
23.36 (18.4,29.7)
31.29 (24.3,40.2)
37.35 (28.7,48.6)
51.36 (37.4,70.4)
West
12.47 (9.1,17.1)
3.05 (1.5,6.1)
8.86 (5.3,14.7)
17.56 (12.4,24.9)
29.29 (21.9,39.2)
37.49 (29.0,48.5)
43.76 (33.9,56.5)
57.17 (43.2,75.7)
Coastal Status








Noncoastal
10.42 (6.9,15.6)
2.25 (1.1,4.7)
6.72 (3.7,12.2)
14.10 (9.2,21.5)
24.55 (17.5,34.4)
33.60 (23.8,47.4)
39.86 (28.8,55.2)
56.75 (38.8,83.1)
Coastal
11.37 (8.8,14.6)
2.54(1.6,3.9)
7.56 (5.6,10.1)
15.97 (12.4,20.6)
26.95 (20.1,36.1)
35.18 (24.8,49.8)
41.40 (28.1,60.9)
55.21 (35.8,85.1)
Coastal/Inland Region








Pacific
11.78 (9.2,15.1)
2.52 (1.6,3.9)
8.31 (5.7,12.0)
17.05 (13.2,22.1)
28.30 (22.2,36.0)
35.86 (26.0,49.4)
41.82 (29.1,60.1)
51.53 (28.2,94.1)
Atlantic
12.29 (8.0,18.9)
3.26 (2.1,5.1)
8.60 (5.5,13.3)
17.29 (11.2,26.6)
28.18 (17.4,45.5)
36.60 (22.5,59.6)
42.39 (25.0,72.0)
56.42 (33.1,96.2)
Gulf of Mexico
10.76 (6.7,17.3)
2.21 (0.9,5.2)
6.58(3.0,14.4)
14.57 (7.7,27.7)
26.05 (15.9,42.6)
34.37 (23.2,50.9)
41.85 (27.7,63.2)
62.44 (37.7,103.5)
Great Lakes
8.45 (5.4,13.3)
1.56 (1.0,2.5)
4.78(2.9,7.8)
10.78 (5.9,19.8)
21.36 (13.5,33.8)
29.67 (18.9,46.5)
35.14 (21.1,58.7)
52.95 (37.2,75.4)
Inland Northeast
14.56 (9.1,23.3)
2.58(1.6,4.2)
9.19 (5.7,14.8)
20.17 (12.9,31.5)
35.84 (21.3,60.4)
45.78 (29.0,72.2)
56.76 (32.9,97.9)
81.36 (39.9,165.8)
Inland Midwest
8.10 (4.4,15.0)
1.79 (0.6,5.0)
5.34(2.4,11.9)
11.00 (5.9,20.6)
19.21 (10.7,34.4)
25.82 (14.7,45.3)
30.27 (18.3,50.2)
41.19 (25.7,65.9)
Inland South
9.16 (6.2,13.6)
2.00 (1.0,3.9)
6.18(3.3,11.6)
12.46 (8.2,18.9)
21.08 (15.4,28.8)
28.43 (20.8,38.9)
34.21 (25.0,46.8)
46.00 (33.3,63.5)
Inland West
13.15 (7.3,23.7)
3.62 (1.2,10.8)
9.45 (4.5,19.9)
17.94 (10.3,31.2)
30.20 (17.6,51.7)
39.37 (23.2,66.8)
46.84 (27.4,80.2)
60.72 (37.7,97.8)
C-20

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Table C-ll. Marine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
12.66 (10.0,16.1)
3.93 (2.2,6.9)
9.15 (6.2,13.4)
17.36 (13.4,22.6)
28.32
(22.7,35.4)
36.93
(29.5,46.3)
43.24
(33.8,55.3)
59.03 (45.4,76.7)
Gender











Female
11.59 (8.8,15.3)
3.59 (1.9,6.9)
8.44(5.4,13.2)
15.83 (11.9,21.0)
26.03
(20.4,33.2)
33.80
(26.7,42.7)
39.54
(30.8,50.7)
53.12 (40.8,69.1)
Male
A fTQ
14.03 (11.1,17.8)
4.43 (2.7,7.2)
10.20 (7.2,14.4)
19.21 (15.0,24.7)
31.36
(24.9,39.5)
40.57
(31.6,52.1)
47.92
(36.9,62.2)
64.05 (47.7,86.0)
Age
21 to <35 yrs
10.52 (7.6,14.6)
2.72 (1.2,6.1)
7.26 (3.9,13.5)
14.09 (9.9,20.0)
23.75
(18.4,30.6)
32.01
(25.2,40.6)
37.98
(29.7,48.5)
52.46 (38.2,72.0)
35 to <50 yrs
11.78 (9.1,15.3)
4.08(2.7,6.2)
8.98(6.6,12.3)
16.22 (12.6,20.8)
25.71
(18.8,35.1)
32.97
(22.4,48.6)
38.15
(24.3,59.9)
49.80 (28.9,85.8)
50 to <65 yrs
17.25 (10.8,27.6)
6.18(3.1,12.3)
13.10 (7.4,23.2)
23.73 (14.7,38.4)
37.49
(24.2,58.2)
48.33
(30.8,75.9)
56.36
(35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
11.69 (8.5,16.1)
3.69 (2.3,6.0)
8.43 (5.8,12.2)
16.32 (12.2,21.8)
26.30
(18.6,37.2)
34.06
(23.1,50.3)
39.34
(25.0,61.9)
51.11 (30.3,86.1)
WCA (13-49 years)
9.52 (7.5,12.1)
2.30 (1.2,4.3)
6.69 (4.0,11.2)
13.24 (10.0,17.6)
21.96
(17.8,27.1)
29.09
(23.4,36.2)
34.16
(26.6,43.9)
44.94 (31.7,63.7)
Income











<$20,000
10.13 (7.9,13.0)
2.38(1.5,3.9)
6.64 (4.7,9.4)
13.68 (10.4,17.9)
23.47
(18.4,29.9)
31.73
(24.8,40.5)
37.51
(28.5,49.3)
52.93 (38.5,72.8)
>$20,000
13.07 (10.2,16.7)
4.27 (2.4,7.5)
9.59 (6.5,14.1)
17.85 (13.8,23.1)
28.95
(23.1,36.3)
37.61
(29.7,47.6)
44.17
(34.5,56.6)
59.38 (45.5,77.5)
Income unknown
14.05 (7.7,25.5)
4.33 (1.2,16.2)
10.70 (4.0,28.3)
20.18 (9.9,41.2)
30.95
(19.8,48.4)
39.90
(26.7,59.5)
44.96
(31.9,63.5)
64.21 (38.0,108.4)
Income, finer detail











<$20,000
10.13 (7.9,13.0)
2.38(1.5,3.9)
6.64 (4.7,9.4)
13.68 (10.4,17.9)
23.47
(18.4,29.9)
31.73
(24.8,40.5)
37.51
(28.5,49.3)
52.93 (38.5,72.8)
$20k-$45k
10.99 (8.2,14.7)
3.28(1.7,6.3)
7.78(4.9,12.3)
14.83 (10.9,20.2)
24.76
(19.1,32.2)
33.08
(25.3,43.2)
38.41
(29.3,50.3)
51.69 (38.4,69.6)
$45k-$75k
12.49 (9.3,16.8)
3.87 (2.3,6.4)
8.96 (6.0,13.4)
16.95 (12.4,23.3)
27.66
(20.6,37.2)
36.28
(27.1,48.5)
43.17
(31.7,58.7)
60.72 (44.6,82.7)
$75k+
15.27 (12.1,19.3)
5.88(3.3,10.6)
11.61 (8.5,15.9)
20.82 (16.4,26.4)
32.66
(26.0,41.0)
41.76
(32.7,53.4)
48.14
(37.0,62.6)
61.76 (45.1,84.6)
>$20,000
12.18 (7.5,19.8)
3.93 (1.9,8.2)
8.83 (4.9,15.9)
16.61 (10.1,27.3)
27.18
(17.0,43.4)
33.96
(21.2,54.3)
41.21
(25.6,66.2)
59.38 (33.0,106.7)
Inc Ref/DK
14.61 (7.4,29.0)
4.62 (1.2,17.8)
11.39 (4.0,32.7)
21.06 (9.5,46.7)
31.40
(18.9,52.2)
39.90
(26.0,61.2)
43.96
(30.4,63.6)
66.21 (34.0,129.1)
Inc missing
12.80 (6.2,26.5)
3.72 (0.8,18.3)
8.51 (3.4,21.2)
17.84 (7.8,40.5)
29.85
(14.8,60.2)
39.09
(20.1,75.9)
46.58
(24.6,88.1)
60.92 (33.1,112.2)
Race/Ethnicity











Mexican American
11.01 (7.1,17.0)
2.95 (1.6,5.6)
8.05 (4.3,15.1)
15.34 (9.2,25.5)
24.60
(16.6,36.5)
32.61
(22.0,48.3)
37.82
(26.9,53.2)
51.54 (36.7,72.4)
Other Hispanic
10.88 (7.9,15.1)
3.35 (1.7,6.5)
7.80 (5.0,12.1)
14.71 (10.5,20.6)
23.59
(16.7,33.3)
31.29
(21.4,45.8)
38.13
(26.3,55.4)
49.20 (28.2,85.9)
White
12.40 (9.7,15.8)
3.89 (2.3,6.6)
8.96 (6.3,12.8)
16.94 (13.2,21.8)
27.72
(21.6,35.6)
36.21
(27.7,47.3)
42.70
(32.2,56.6)
58.28 (43.9,77.3)
Black
12.41 (8.8,17.4)
3.99 (1.9,8.2)
9.10 (5.4,15.3)
17.17 (11.7,25.3)
27.88
(20.3,38.2)
35.39
(27.5,45.5)
40.86
(31.8,52.5)
52.99 (38.7,72.6)
Other race
19.88 (14.7,26.8)
7.38(4.2,13.0)
16.13 (9.8,26.7)
27.20 (19.8,37.3)
40.91
(32.3,51.9)
52.09
(39.7,68.3)
62.58
(45.3,86.5)
83.12 (55.7,124.1)
C-21

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Table C-ll. Marine fish usual fish consumption rate estimates, adults >21 years (continued)





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
9.78(6.6,14.5)
2.92 (1.4,5.9)
6.80 (4.0,11.5)
13.22 (8.6,20.4)
22.25 (15.2,32.7)
29.10 (20.6,41.1)
33.97 (23.7,48.7)
49.65 (34.1,72.3)
Northeast
16.09 (12.6,20.5)
5.13 (3.4,7.8)
12.20 (9.2,16.2)
22.32 (17.4,28.6)
35.79 (27.7,46.2)
44.96 (34.0,59.5)
52.36 (39.4,69.6)
70.86 (53.2,94.5)
South
11.82 (9.2,15.3)
3.78(2.1,6.8)
8.60 (5.7,12.9)
16.07 (12.1,21.3)
26.22 (20.6,33.4)
34.13 (26.5,43.9)
39.92 (29.9,53.3)
54.34 (38.9,75.9)
West
14.67 (10.9,19.7)
5.35 (2.9,9.8)
11.28 (7.5,17.0)
19.94 (15.0,26.6)
32.08 (24.2,42.4)
40.59 (31.2,52.8)
47.22 (36.3,61.4)
60.20 (45.0,80.6)
Coastal Status








Noncoastal
12.17 (8.3,17.8)
3.72 (1.8,7.9)
8.66 (5.1,14.7)
16.51 (11.2,24.4)
27.30 (19.7,37.8)
35.98 (26.3,49.2)
42.54 (31.1,58.2)
58.94 (41.4,84.0)
Coastal
13.43 (10.1,17.8)
4.30 (3.0,6.2)
9.98(7.5,13.3)
18.64 (14.2,24.5)
29.85 (21.8,40.9)
38.38 (27.0,54.6)
44.17 (29.2,66.7)
59.25 (39.9,88.0)
Coastal/Inland Region








Pacific
13.89 (10.6,18.2)
4.84(3.1,7.6)
10.68 (7.7,14.8)
19.09 (14.3,25.5)
30.89 (23.6,40.4)
39.14 (29.2,52.5)
43.79 (29.3,65.4)
54.14 (30.4,96.3)
Atlantic
14.55 (9.2,23.0)
5.29 (3.2,8.7)
11.16 (7.1,17.4)
20.25 (13.2,31.1)
30.95 (18.7,51.2)
39.70 (24.0,65.5)
45.57 (26.6,78.1)
60.79 (36.5,101.3)
Gulf of Mexico
12.12 (7.7,19.0)
3.32 (1.7,6.3)
8.16 (4.1,16.3)
16.51 (9.1,30.0)
27.87 (17.4,44.5)
37.47 (23.0,61.0)
44.21 (27.6,70.9)
60.92 (33.1,112.0)
Great Lakes
10.38 (6.6,16.3)
2.61 (1.3,5.1)
6.73 (3.9,11.7)
13.43 (7.6,23.7)
24.52 (16.1,37.3)
32.64 (20.6,51.8)
39.20 (25.1,61.2)
62.01 (41.3,93.2)
Inland Northeast
16.53 (10.9,25.1)
4.44(2.5,8.0)
12.31 (7.5,20.3)
22.83 (15.3,34.0)
37.42 (24.8,56.4)
48.31 (31.8,73.4)
56.54 (36.9,86.5)
76.33 (46.9,124.2)
Inland Midwest
9.61 (5.2,17.8)
2.98(1.2,7.5)
6.81 (3.3,13.9)
13.14 (6.8,25.6)
21.41 (12.0,38.2)
27.96 (16.4,47.7)
33.06 (19.6,55.8)
46.18 (26.1,81.8)
Inland South
10.85 (7.3,16.2)
3.49 (1.5,8.1)
8.01 (4.4,14.5)
14.65 (9.7,22.1)
23.34 (17.3,31.4)
31.14 (22.8,42.4)
36.74 (27.2,49.5)
49.10 (34.8,69.2)
Inland West
15.51 (8.8,27.2)
5.86 (2.4,14.3)
11.76 (6.3,21.8)
20.64 (12.4,34.2)
33.58 (19.6,57.5)
42.99 (25.2,73.4)
51.78 (28.2,95.2)
64.07 (39.7,103.3)
C-22

-------
Table C-12. Marine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onrloi'
6.11 (3.8,9.8)
0.90 (0.4,1.8)
2.80 (1.5,5.3)
7.39 (4.4,12.3)
15.45 (9.8,24.4)
22.53 (15.1,33.6)
29.11 (19.0,44.6)
42.49 (29.4,61.5)
VJcllUcI
Female
5.35 (3.4,8.5)
0.80
0.4,1.6)
2.51 (1.3,5.0)
6.68(3.9,11.5)
13.87 (8.6,22.2)
19.97 (13.4,29.9)
25.70 (16.6,39.7)
37.23 (25.6,54.2)
Male
A fTQ
6.90 (4.2,11.4)
1.03
0.5,2.2)
3.20 (1.6,6.3)
8.14(5.0,13.1)
16.96 (10.9,26.4)
25.25 (16.5,38.6)
31.92 (21.0,48.6)
48.17 (31.0,74.7)
Mge
1 to <3 yrs
3.27 (1.8,5.8)
0.45
0.2,0.9)
1.51 (0.7,3.4)
3.76 (2.1,6.9)
8.06 (4.7,13.8)
13.33 (6.6,26.8)
16.74 (9.1,30.8)
25.29 (14.3,44.6)
3 to <6 yrs
4.47 (2.3,8.9)
0.80
0.3,2.4)
2.55 (0.9,7.2)
5.83 (2.8,12.1)
11.13 (5.7,21.8)
15.55 (8.5,28.6)
18.36 (11.2,30.1)
25.82 (16.4,40.7)
6 to <11 yrs
6.10 (3.0,12.3)
0.95
0.4,2.0)
3.04(1.5,6.3)
7.90 (3.9,16.1)
16.04 (7.2,35.9)
22.28 (10.6,46.9)
27.50 (12.9,58.5)
38.96 (18.8,80.7)
11 to <16 yrs
5.22 (3.3,8.3)
0.89
0.4,1.9)
2.65 (1.3,5.3)
6.75 (4.0,11.4)
12.96 (8.0,21.0)
18.85 (11.6,30.7)
23.22 (14.2,38.1)
34.83 (20.5,59.3)
16 to <18 yrs
6.85 (4.4,10.7)
1.04
0.6,1.9)
3.37 (1.8,6.1)
9.45 (5.3,17.0)
17.30 (11.5,26.0)
23.73 (16.4,34.4)
29.32 (19.9,43.2)
39.02 (25.8,59.1)
18 to <21 yrs
1 nrniYlQ
10.83 (5.7,20.7)
1.59
0.8,3.1)
4.81 (2.7,8.5)
13.23 (7.4,23.6)
28.61 (14.1,58.2)
39.99 (20.7,77.4)
47.22 (25.3,88.1)
84.81 (28.2,254.7)
1 IllUIIlC
<$20,000
5.06 (3.6,7.1)
0.81
0.5,1.4)
2.42 (1.6,3.6)
6.13 (4.3,8.7)
12.73 (8.9,18.2)
18.69 (12.5,28.0)
24.07 (15.9,36.6)
36.10 (22.9,56.9)
>$20,000
6.26 (3.6,10.8)
0.92
0.4,2.0)
2.86 (1.4,5.8)
7.60 (4.2,13.8)
15.83 (9.3,27.1)
22.61 (14.9,34.3)
29.49 (18.6,46.8)
43.34 (29.3,64.2)
Income unknown
8.14(3.0,22.1)
1.10
0.4,3.0)
3.92 (1.1,13.8)
10.53 (2.8,39.2)
23.34 (5.8,93.8)
29.89 (12.3,72.9)
34.46 (17.9,66.3)
47.22 (24.5,91.2)
Income, finer detail









<$20,000
5.06 (3.6,7.1)
0.81
0.5,1.4)
2.42 (1.6,3.6)
6.13 (4.3,8.7)
12.73 (8.9,18.2)
18.69 (12.5,28.0)
24.07 (15.9,36.6)
36.10 (22.9,56.9)
$20k-$45k
5.90 (2.8,12.6)
0.81
0.4,1.6)
2.51 (1.2,5.1)
6.66 (3.5,12.8)
14.51 (7.3,28.8)
21.39 (11.4,40.0)
26.74 (15.2,47.1)
42.40 (21.8,82.5)
$45k-$75k
5.89 (3.7,9.5)
0.79
0.4,1.5)
2.64(1.3,5.2)
7.03 (4.1,12.0)
14.70 (9.2,23.5)
21.00 (13.3,33.1)
29.11 (17.6,48.2)
43.85 (25.0,76.9)
$75k+
6.82 (4.0,11.7)
1.10
0.4,3.0)
3.35 (1.5,7.6)
8.51 (4.7,15.3)
17.51 (10.0,30.8)
24.44 (16.0,37.3)
31.59 (19.8,50.4)
43.38 (29.8,63.2)
>$20,000
5.79 (3.4,10.0)
1.28
0.4,4.4)
3.35 (1.7,6.6)
7.75 (4.0,15.1)
14.19 (7.5,27.0)
19.99 (11.1,36.0)
23.25 (11.7,46.1)
31.07 (11.3,85.3)
Inc Ref/DK
7.17 (2.3,22.2)
1.03
0.4,2.6)
3.59 (1.1,12.0)
9.68(2.2,43.1)
20.08 (4.4,91.4)
26.06 (8.0,85.3)
29.32 (12.2,70.6)
38.01 (18.4,78.5)
Inc missing
9.48(2.7,33.4)
1.15
0.3,4.5)
4.50 (0.8,25.7)
11.88 (2.7,52.2)
27.99 (5.4,146.3)
34.11 (11.2,104.3)
46.45 (13.0,165.8)
51.05 (18.7,139.4)
Race/Ethnicity









Mexican American
4.41 (3.1,6.2)
0.68
0.4,1.1)
2.14(1.3,3.6)
5.45 (3.7,8.1)
11.37 (7.9,16.4)
16.89 (11.6,24.6)
20.45 (14.1,29.6)
30.90 (20.6,46.3)
Other Hispanic
3.44 (1.4,8.4)
0.50
0.2,1.3)
1.63 (0.7,3.6)
4.65 (2.4,9.0)
9.23 (4.2,20.1)
12.90 (5.1,32.6)
14.85 (4.4,50.6)
21.56 (5.5,85.2)
White
6.62 (3.2,13.9)
0.94
0.4,2.5)
2.93 (1.1,7.6)
7.80 (3.7,16.6)
16.49 (8.4,32.3)
24.62 (13.1,46.2)
31.92 (16.5,61.9)
47.22 (26.3,84.8)
Black
4.85 (3.3,7.2)
0.97
0.6,1.6)
2.80 (1.9,4.2)
6.37 (4.3,9.5)
11.90 (8.0,17.7)
16.09 (9.7,26.8)
20.06 (12.2,32.8)
29.33 (17.5,49.1)
Other race
10.10 (6.3,16.2)
1.89
0.6,5.6)
5.89 (2.5,13.7)
15.18 (6.1,37.7)
25.10 (15.7,40.1)
32.35 (23.4,44.8)
36.26 (22.1,59.6)
46.27 (20.4,105.0)
C-23

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Table C-12. Marine fish usual fish consumption rate estimates, youth <21 years (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
4.15 (2.9,5.9)
0.71 (0.3,1.8)
2.06 (1.0,4.4)
5.37 (3.2,9.1)
10.46 (7.4,14.8)
14.95 (9.6,23.3)
18.48 (10.6,32.4)
26.84 (12.4,58.1)
Northeast
8.44 (3.7,19.2)
1.10 (0.6,2.0)
3.60 (2.1,6.3)
8.79 (6.0,13.0)
19.92 (10.3,38.4)
33.53 (11.8,95.3)
43.34 (13.8,136.3)
87.28 (12.2,626.4)
South
5.48 (3.6,8.4)
0.87 (0.5,1.5)
2.59 (1.6,4.3)
6.91 (4.3,11.2)
14.01 (8.9,21.9)
19.76 (13.3,29.4)
24.26 (16.6,35.5)
37.58 (24.8,57.0)
West
7.45 (3.6,15.4)
1.19 (0.4,3.5)
3.65 (1.3,10.0)
9.86 (3.8,25.5)
19.83 (8.7,45.3)
27.91 (13.6,57.3)
32.79 (18.3,58.7)
43.16 (26.5,70.2)
Coastal Status








Noncoastal
6.09 (3.2,11.4)
0.89 (0.4,1.8)
2.78(1.4,5.7)
7.32 (3.9,13.6)
14.94 (8.5,26.4)
21.68 (12.8,36.8)
28.92 (15.1,55.5)
43.38 (23.2,81.1)
Coastal
6.15 (4.4,8.5)
0.93 (0.4,2.0)
2.82 (1.6,4.9)
7.53 (5.0,11.3)
16.09 (11.3,22.8)
23.61 (16.9,32.9)
29.33 (21.2,40.6)
39.47 (23.7,65.6)
Coastal/Inland Region








Pacific
6.30 (4.2,9.6)
0.74(0.4,1.5)
2.54(1.3,4.9)
7.70 (3.8,15.5)
18.48 (9.1,37.5)
26.74 (15.9,44.9)
32.35 (21.1,49.5)
42.43 (22.5,80.0)
Atlantic
6.18 (4.1,9.3)
1.09 (0.6,2.1)
3.34(1.9,6.0)
8.02 (5.1,12.7)
15.51 (10.4,23.1)
22.11 (14.7,33.2)
26.38 (17.5,39.7)
36.93 (24.2,56.4)
Gulf of Mexico
7.74(2.8,21.0)
1.15 (0.3,4.7)
3.26 (1.0,10.6)
9.75 (2.8,33.7)
20.32 (6.8,60.9)
28.10 (11.7,67.7)
35.32 (15.4,80.8)
66.18 (20.6,212.9)
Great Lakes
4.17 (1.7,10.0)
0.81 (0.3,2.3)
2.02 (1.2,3.4)
4.72 (2.1,10.4)
10.19 (3.2,32.6)
15.32 (4.1,56.7)
21.14 (6.9,65.1)
30.70 (8.9,105.9)
Inland Northeast
9.33 (3.1,27.7)
0.97 (0.6,1.6)
3.09 (1.9,5.1)
8.51 (5.6,13.0)
21.45 (8.9,51.8)
41.45 (8.4,204.6)
66.81 (6.9,647.9)
97.40 (9.6,984.9)
Inland Midwest
4.15 (2.3,7.5)
0.70 (0.2,1.9)
2.11 (0.8,5.9)
5.52 (2.5,12.3)
10.57 (6.0,18.7)
14.74 (9.3,23.5)
18.10 (11.8,27.7)
25.04 (16.9,37.0)
Inland South
4.87 (3.0,8.0)
0.78(0.4,1.4)
2.33 (1.3,4.1)
6.30 (3.6,11.1)
12.42 (7.4,20.9)
17.62 (10.7,28.9)
21.76 (13.4,35.4)
34.09 (19.9,58.5)
Inland West
8.40 (2.8,25.5)
1.71 (0.3,8.4)
4.76 (1.1,20.4)
11.27 (3.4,37.7)
20.58 (7.3,58.3)
28.92 (10.3,81.4)
34.19 (13.1,89.4)
45.61 (20.5,101.2)
C-24

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Table C-13. Freshwater fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
fiPnHor
1.66 (1.0,2.7)
0.12 (0.0,0.6)
0.45 (0.1,1.5)
1.46 (0.7,3.1)
3.83 (2.3,6.4)
6.70 (4.2,10.7)
9.59 (6.1,15.2)
17.89 (10.5,30.4)
VJCllUCl
Female
1.27 (0.7,2.2)
0.10
0.0,0.5)
0.36 (0.1,1.1)
1.16 (0.6,2.3)
2.99 (1.8,5.1)
5.13 (2.8,9.4)
7.29 (3.8,14.2)
13.85 (6.2,30.8)
Male
A np
2.13 (1.1,3.9)
0.18
0.0,1.0)
0.60 (0.2,2.2)
1.92 (0.8,4.8)
4.94(2.6,9.4)
8.50 (4.9,14.6)
12.15 (7.2,20.5)
22.16 (13.6,36.0)
age
1 to <3 yrs
0.81 (0.4,1.6)
0.04
0.0,0.5)
0.15 (0.0,0.8)
0.54(0.2,1.6)
1.79 (0.7,4.3)
3.47 (1.6,7.4)
5.33 (2.5,11.3)
10.68 (5.3,21.6)
3 to <6 yrs
0.79 (0.3,1.9)
0.02
0.0,0.2)
0.16 (0.0,1.5)
0.66 (0.1,3.4)
1.74(0.7,4.2)
3.32 (1.5,7.5)
4.87 (2.2,11.0)
9.73 (3.5,27.2)
6 to <11 yrs
0.83 (0.4,1.6)
0.07
0.0,0.5)
0.24(0.1,1.0)
0.76 (0.3,2.1)
2.01 (1.0,4.2)
3.46 (1.7,7.0)
4.99 (2.3,10.7)
8.61 (3.2,23.3)
11 to <16 yrs
0.97 (0.4,2.1)
0.05
0.0,0.3)
0.21 (0.0,1.0)
0.74(0.2,2.2)
2.31 (0.9,5.8)
4.17 (1.9,9.3)
6.08(2.8,13.1)
12.97 (5.9,28.5)
16 to <18 yrs
0.64(0.1,3.3)
0.03
0.0,0.3)
0.10 (0.0,1.1)
0.38(0.0,3.7)
1.23 (0.2,8.9)
2.72 (0.6,12.3)
4.23 (1.0,18.1)
10.17 (2.8,36.3)
18 to <21 yrs
0.78(0.3,2.2)
0.02
0.0,0.1)
0.08(0.0,0.2)
0.38(0.1,1.4)
1.39 (0.3,5.5)
2.93 (0.8,10.4)
4.83 (1.6,14.8)
11.99 (4.4,32.7)
21 to <35 yrs
1.54(0.8,3.1)
0.17
0.0,1.4)
0.52 (0.1,2.6)
1.45 (0.5,4.3)
3.54 (1.6,7.6)
6.03 (3.0,12.0)
8.22 (4.4,15.4)
15.38 (7.7,30.5)
35 to <50 yrs
1.77 (1.1,3.0)
0.15
0.0,0.6)
0.47 (0.2,1.3)
1.46 (0.7,2.9)
3.93 (2.2,6.9)
7.34(4.2,12.9)
10.46 (5.9,18.4)
19.85 (10.2,38.7)
50 to <65 yrs
2.93 (1.4,6.1)
0.35
0.1,2.2)
1.09 (0.3,4.3)
2.99 (1.1,8.0)
6.74(3.4,13.2)
11.00 (6.0,20.1)
14.36 (8.1,25.5)
27.06 (15.0,48.7)
65+ yrs
1 nrn m o
1.92 (1.0,3.8)
0.28
0.0,1.6)
0.74(0.3,2.0)
1.93 (0.9,4.0)
4.34(1.9,10.1)
6.86 (2.6,17.9)
9.64(3.8,24.3)
18.68 (8.2,42.7)
1 IllUIIlc
<$20,000
1.98(1.0,3.9)
0.15
0.0,0.9)
0.54(0.1,2.2)
1.78(0.7,4.8)
4.68(2.3,9.3)
8.07 (4.4,14.7)
11.40 (6.5,19.8)
20.23 (11.8,34.5)
>$20,000
1.59 (1.0,2.6)
0.12
0.0,0.6)
0.44(0.1,1.3)
1.41 (0.7,2.9)
3.66 (2.2,6.1)
6.35 (3.9,10.4)
9.06 (5.5,15.0)
17.32 (9.7,31.0)
Income unknown
1.80 (0.6,5.1)
0.14
0.0,1.5)
0.50 (0.1,3.2)
1.63 (0.4,7.3)
4.28(1.3,13.9)
7.82 (2.5,24.0)
12.32 (3.5,43.5)
19.87 (8.1,48.6)
Income, finer detail









<$20,000
1.98(1.0,3.9)
0.15
0.0,0.9)
0.54(0.1,2.2)
1.78(0.7,4.8)
4.68(2.3,9.3)
8.07 (4.4,14.7)
11.40 (6.5,19.8)
20.23 (11.8,34.5)
$20k-$45k
1.59 (0.7,3.6)
0.13
0.0,0.5)
0.46 (0.2,1.1)
1.42 (0.7,3.0)
3.61 (1.5,8.6)
6.36 (2.6,15.7)
8.96 (3.4,23.4)
17.15 (5.9,49.5)
$45k-$75k
1.58 (0.8,3.3)
0.12
0.0,0.9)
0.45 (0.1,2.1)
1.47 (0.5,4.4)
3.87 (1.7,8.9)
6.53 (3.3,13.1)
9.22 (4.7,18.1)
16.50 (8.3,32.9)
$75k+
1.57 (0.8,3.0)
0.11
0.0,0.6)
0.40 (0.1,1.4)
1.32 (0.5,3.3)
3.52 (1.8,7.0)
6.14(3.4,11.1)
8.90 (5.1,15.7)
18.04 (10.1,32.1)
>$20,000
1.97 (0.4,9.5)
0.17
0.0,4.1)
0.62 (0.0,8.9)
1.89 (0.2,16.4)
4.36 (0.9,20.8)
8.10 (1.6,40.5)
11.17 (2.6,48.2)
20.16 (6.0,67.8)
Inc Ref/DK
1.62 (0.7,3.8)
0.13
0.0,0.9)
0.47 (0.1,2.1)
1.46 (0.5,4.3)
3.85 (1.6,9.4)
7.19 (2.9,18.1)
9.70 (4.2,22.6)
17.57 (6.5,47.4)
Inc missing
2.14(0.2,29.5)
0.16
0.0,7.0)
0.61 (0.0,18.5)
1.96 (0.1,40.6)
4.91 (0.3,71.0)
10.19 (0.5,202.4)
15.42 (0.7,341.8)
23.53 (2.0,270.5)
Race/Ethnicity









Mexican American
1.76 (0.9,3.3)
0.21
0.0,1.4)
0.66 (0.2,2.4)
1.84(0.9,3.9)
4.33 (2.3,8.3)
7.10 (3.5,14.4)
9.78(4.6,20.7)
15.94 (5.4,47.5)
Other Hispanic
2.30 (0.8,6.8)
0.08
0.0,0.3)
0.40 (0.1,1.3)
1.52 (0.6,3.9)
5.31 (1.8,15.7)
10.19 (3.1,33.2)
16.11 (4.2,61.8)
29.41 (7.3,118.0)
White
1.01 (0.6,1.8)
0.10
0.0,0.6)
0.33 (0.1,1.2)
1.03 (0.4,2.4)
2.54(1.4,4.7)
4.19 (2.3,7.6)
5.63 (2.9,10.9)
9.97 (4.5,21.9)
Black
2.98 (1.7,5.1)
0.35
0.1,1.1)
1.11 (0.5,2.5)
3.05 (1.7,5.4)
7.15 (4.1,12.4)
11.63 (6.3,21.5)
15.73 (8.0,30.9)
27.24 (12.3,60.1)
Other race
5.09 (1.8,14.1)
0.27
0.0,2.1)
1.53 (0.2,13.4)
4.80 (1.1,21.6)
12.39 (3.9,39.3)
18.90 (8.7,41.3)
28.04 (12.8,61.5)
62.27 (21.6,179.1)
C-25

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Table C-13. Freshwater fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.51 (0.8,2.9)
0.11 (0.0,0.5)
0.43 (0.2,1.2)
1.38(0.7,2.8)
3.46 (1.6,7.3)
5.79 (2.4,13.9)
8.01 (3.1,20.8)
16.65 (7.4,37.2)
Northeast
1.10 (0.4,2.7)
0.09 (0.0,0.9)
0.33 (0.1,1.9)
1.00 (0.3,3.6)
2.45 (1.0,5.8)
4.39 (2.0,9.8)
6.49 (2.8,15.0)
12.40 (5.7,27.0)
South
2.34 (1.3,4.1)
0.21 (0.0,1.1)
0.74(0.2,2.6)
2.23 (0.9,5.2)
5.55 (3.0,10.3)
9.51 (5.4,16.6)
12.96 (7.6,22.0)
23.01 (12.5,42.3)
West
1.20 (0.6,2.5)
0.09 (0.0,0.5)
0.31 (0.1,1.0)
0.97 (0.4,2.2)
2.70 (1.3,5.5)
4.83 (2.3,9.9)
7.11 (3.3,15.2)
14.20 (5.9,34.3)
Coastal Status








Noncoastal
1.59 (0.9,2.8)
0.11 (0.0,0.6)
0.43 (0.1,1.5)
1.44(0.6,3.5)
3.79 (2.1,6.9)
6.57 (3.8,11.3)
9.26 (5.5,15.6)
16.63 (9.2,30.2)
Coastal
1.77 (1.1,2.9)
0.14(0.0,0.7)
0.48(0.2,1.4)
1.50 (0.8,2.9)
3.91 (2.4,6.5)
6.96 (4.2,11.5)
10.09 (6.0,17.0)
19.40 (10.2,36.9)
Coastal/Inland Region








Pacific
1.34(0.8,2.3)
0.14(0.0,0.7)
0.44(0.1,1.3)
1.30 (0.6,2.7)
3.18(1.8,5.5)
5.36 (3.1,9.2)
7.27 (4.0,13.1)
13.66 (7.0,26.7)
Atlantic
1.07 (0.6,1.8)
0.12 (0.0,0.6)
0.40 (0.1,1.2)
1.11 (0.6,2.0)
2.62 (1.5,4.5)
4.09 (1.9,8.8)
5.83 (2.7,12.6)
10.29 (3.9,27.0)
Gulf of Mexico
5.13 (2.7,9.6)
0.50 (0.0,5.3)
1.73 (0.3,9.1)
4.90 (1.7,14.4)
12.16 (5.9,25.0)
19.46 (10.7,35.4)
27.06 (14.4,50.7)
58.64 (30.7,112.1)
Great Lakes
1.36 (0.6,2.9)
0.09 (0.0,0.3)
0.38(0.1,1.1)
1.20 (0.5,2.6)
3.13 (1.4,6.8)
5.39 (2.3,12.6)
7.89 (3.4,18.2)
16.37 (6.7,39.8)
Inland Northeast
1.10 (0.3,4.3)
0.08(0.0,0.7)
0.28(0.0,1.7)
0.89 (0.2,3.8)
2.29 (0.7,7.8)
4.48(1.1,18.0)
6.97 (1.5,32.5)
13.67 (3.2,59.2)
Inland Midwest
1.55 (0.7,3.2)
0.12 (0.0,0.6)
0.45 (0.1,1.5)
1.43 (0.6,3.4)
3.53 (1.5,8.3)
5.82 (2.2,15.5)
7.92 (2.7,23.7)
16.82 (7.0,40.3)
Inland South
2.16 (1.1,4.1)
0.24(0.0,1.6)
0.82 (0.2,3.7)
2.31 (0.9,6.2)
5.45 (2.7,10.9)
8.74(4.9,15.6)
11.92 (6.8,21.0)
18.64 (9.0,38.6)
Inland West
1.06 (0.3,3.9)
0.06 (0.0,0.3)
0.22 (0.1,0.7)
0.69 (0.3,1.8)
2.11 (0.7,6.2)
4.24(1.2,15.4)
7.02 (1.6,30.7)
15.21 (2.8,83.5)
C-26

-------
Table C-14. Freshwater fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
1.99 (1.2,3.3)
0.20 (0.0,1.1)
0.63 (0.2,2.0)
1.86 (0.9,4.0)
4.57 (2.8,7.6)
7.76 (4.9,12.3)
10.97 (6.9,17.3)
19.93 (11.4,34.7)
VJcMUcl
Female
1.53 (0.9,2.6)
0.16 (0.0,0.8)
0.50 (0.2,1.4)
1.46 (0.8,2.7)
3.58(2.1,6.1)
6.02 (3.3,11.1)
8.09 (3.8,17.3)
15.08 (6.1,37.1)
Male
A np
2.59 (1.3,5.1)
0.28(0.0,1.8)
0.83 (0.2,3.2)
2.45 (0.9,6.5)
5.96 (3.0,11.7)
10.19 (5.5,18.8)
13.90 (8.1,23.9)
25.12 (15.1,41.7)
age
21 to <35 yrs
1.54(0.8,3.1)
0.17 (0.0,1.4)
0.52 (0.1,2.6)
1.45 (0.5,4.3)
3.54(1.6,7.6)
6.03 (3.0,12.0)
8.22 (4.4,15.4)
15.38 (7.7,30.5)
35 to <50 yrs
1.77 (1.1,3.0)
0.15 (0.0,0.6)
0.47 (0.2,1.3)
1.46 (0.7,2.9)
3.93 (2.2,6.9)
7.34(4.2,12.9)
10.46 (5.9,18.4)
19.85 (10.2,38.7)
50 to <65 yrs
2.93 (1.4,6.1)
0.35 (0.1,2.2)
1.09 (0.3,4.3)
2.99 (1.1,8.0)
6.74(3.4,13.2)
11.00 (6.0,20.1)
14.36 (8.1,25.5)
27.06 (15.0,48.7)
65+ yrs
1.92 (1.0,3.8)
0.28(0.0,1.6)
0.74(0.3,2.0)
1.93 (0.9,4.0)
4.34(1.9,10.1)
6.86 (2.6,17.9)
9.64(3.8,24.3)
18.68 (8.2,42.7)
WCA (13-49 years)
1 nrnmo
1.13 (0.6,2.1)
0.08(0.0,0.4)
0.30 (0.1,0.9)
0.97 (0.5,1.9)
2.57 (1.4,4.6)
4.53 (2.3,8.9)
6.77 (3.4,13.3)
12.64 (4.9,32.8)
1 IllUIIlC
<$20,000
2.37 (1.2,4.8)
0.24(0.0,1.6)
0.74(0.2,2.9)
2.20 (0.9,5.6)
5.49 (2.8,10.7)
9.37 (5.1,17.3)
12.63 (7.3,21.7)
22.54 (12.6,40.3)
>$20,000
1.92 (1.2,3.1)
0.20 (0.0,1.0)
0.61 (0.2,1.9)
1.79 (0.9,3.7)
4.41 (2.7,7.3)
7.40 (4.5,12.1)
10.42 (6.3,17.2)
19.28 (10.4,35.8)
Income unknown
2.12 (0.7,6.4)
0.22 (0.0,2.7)
0.66 (0.1,3.9)
1.94(0.5,7.8)
4.99 (1.6,15.5)
9.15 (2.9,29.3)
15.21 (3.4,68.7)
22.38 (8.3,60.2)
Income, finer detail








<$20,000
2.37 (1.2,4.8)
0.24(0.0,1.6)
0.74(0.2,2.9)
2.20 (0.9,5.6)
5.49 (2.8,10.7)
9.37 (5.1,17.3)
12.63 (7.3,21.7)
22.54 (12.6,40.3)
$20k-$45k
1.87 (0.8,4.1)
0.21 (0.1,0.7)
0.61 (0.3,1.4)
1.71 (0.8,3.7)
4.21 (1.7,10.4)
7.21 (2.8,18.6)
10.15 (3.8,27.1)
18.53 (5.9,58.0)
$45k-$75k
1.91 (0.9,4.1)
0.20 (0.0,1.7)
0.65 (0.1,3.3)
1.92 (0.6,6.4)
4.62 (2.0,10.7)
7.38(3.8,14.4)
10.37 (5.2,20.5)
17.84 (8.5,37.4)
$75k+
1.94(1.0,3.9)
0.18(0.0,1.0)
0.57 (0.2,2.0)
1.71 (0.7,4.4)
4.27 (2.1,8.6)
7.38(4.0,13.5)
10.59 (5.9,19.1)
19.93 (10.9,36.4)
>$20,000
2.34(0.5,11.2)
0.26 (0.0,6.0)
0.79 (0.1,9.6)
2.19 (0.3,15.3)
5.33 (1.0,27.4)
9.33 (1.9,45.0)
14.03 (2.7,74.2)
20.58 (6.9,61.4)
Inc Ref/DK
1.85 (0.7,4.6)
0.20 (0.0,1.5)
0.57 (0.1,2.3)
1.76 (0.6,5.3)
4.45 (1.8,11.0)
7.72 (3.0,19.8)
10.98 (4.6,26.2)
17.57 (6.0,51.3)
Inc missing
2.71 (0.2,40.2)
0.30 (0.0,18.0)
0.84(0.0,23.5)
2.50 (0.1,50.6)
6.07 (0.4,90.0)
14.58 (0.4,478.3)
19.47 (0.7,522.9)
28.82 (2.1,395.7)
Race/Ethnicity








Mexican American
2.18(1.0,4.6)
0.34(0.1,1.7)
0.95 (0.3,2.8)
2.40 (1.2,4.9)
5.31 (2.5,11.3)
8.64(3.9,19.3)
11.74 (5.0,27.5)
17.57 (4.6,66.8)
Other Hispanic
2.95 (1.0,8.9)
0.17 (0.0,0.7)
0.60 (0.2,1.9)
2.07 (0.8,5.2)
7.05 (2.2,22.8)
12.37 (3.8,40.5)
19.03 (4.9,73.4)
39.93 (7.0,228.1)
White
1.22 (0.7,2.2)
0.16 (0.0,0.9)
0.46 (0.1,1.6)
1.28(0.6,2.9)
3.01 (1.7,5.5)
4.81 (2.7,8.7)
6.42 (3.3,12.4)
11.01 (5.0,24.5)
Black
3.51 (2.1,5.9)
0.54(0.2,1.8)
1.46 (0.7,3.1)
3.74(2.2,6.5)
8.12 (4.5,14.7)
12.96 (6.6,25.4)
17.24 (8.2,36.4)
30.54 (14.2,65.4)
Other race
6.90 (2.3,20.8)
0.97 (0.1,15.2)
2.77 (0.3,23.4)
7.04(1.6,31.5)
15.33 (5.5,43.0)
26.03 (9.8,69.0)
36.96 (14.9,91.7)
80.81 (22.4,292.0)
C-27

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Table C-14. Freshwater fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.80 (0.9,3.4)
0.19 (0.0,0.7)
0.60 (0.2,1.5)
1.74(0.9,3.4)
4.12 (1.9,8.8)
6.56 (2.5,17.0)
8.74(2.9,26.1)
18.25 (7.8,42.6)
Northeast
1.30 (0.5,3.4)
0.15 (0.0,1.6)
0.45 (0.1,2.7)
1.19 (0.4,4.0)
2.83 (1.2,6.7)
5.04(2.1,11.8)
7.29 (3.1,17.4)
13.79 (6.0,31.8)
South
2.83 (1.6,5.0)
0.34(0.1,1.8)
1.04(0.3,3.6)
2.82 (1.2,6.5)
6.65 (3.6,12.2)
11.03 (6.4,18.9)
14.62 (8.6,24.8)
26.24 (14.3,48.1)
West
1.45 (0.6,3.4)
0.14(0.0,0.8)
0.42 (0.1,1.5)
1.24(0.5,3.2)
3.19 (1.4,7.1)
5.72 (2.5,13.1)
8.24(3.5,19.6)
15.57 (5.9,41.2)
Coastal Status








Noncoastal
1.92 (1.1,3.4)
0.20 (0.0,1.2)
0.64(0.2,2.3)
1.87 (0.8,4.4)
4.54(2.5,8.2)
7.55 (4.5,12.8)
10.48 (6.1,17.8)
18.35 (9.7,34.7)
Coastal
2.11 (1.3,3.5)
0.20 (0.0,1.0)
0.62 (0.2,1.8)
1.85 (0.9,3.7)
4.63 (2.8,7.8)
8.16 (4.9,13.6)
11.98 (7.2,20.0)
22.66 (12.4,41.4)
Coastal/Inland Region








Pacific
1.50 (0.8,2.8)
0.18(0.0,1.0)
0.53 (0.2,1.8)
1.48(0.6,3.4)
3.56 (1.9,6.7)
5.73 (3.2,10.2)
7.91 (4.4,14.3)
14.83 (7.6,29.0)
Atlantic
1.14(0.6,2.1)
0.15 (0.0,0.7)
0.45 (0.2,1.2)
1.21 (0.7,2.1)
2.76 (1.4,5.3)
4.27 (1.7,10.5)
6.10 (2.6,14.2)
10.38 (3.4,31.9)
Gulf of Mexico
6.70 (3.6,12.3)
1.08(0.1,10.7)
2.67 (0.6,11.7)
6.82 (2.5,18.5)
15.00 (8.1,27.8)
23.48 (12.8,43.0)
35.67 (19.7,64.5)
74.26 (34.8,158.6)
Great Lakes
1.82 (0.9,3.5)
0.23 (0.0,1.4)
0.62 (0.2,2.0)
1.74(0.8,3.8)
4.14(2.1,8.1)
7.32 (3.7,14.4)
9.71 (4.6,20.5)
20.60 (8.5,50.1)
Inland Northeast
1.39 (0.3,6.7)
0.15 (0.0,2.2)
0.44(0.1,3.5)
1.15 (0.2,5.3)
2.87 (0.7,11.5)
5.52 (1.1,26.7)
8.06 (1.6,40.8)
15.13 (3.3,69.7)
Inland Midwest
1.78(0.8,3.9)
0.18(0.0,0.8)
0.60 (0.2,1.7)
1.73 (0.8,4.0)
4.08(1.6,10.2)
6.40 (2.1,19.6)
8.59 (2.5,29.7)
17.85 (6.8,46.6)
Inland South
2.61 (1.4,5.0)
0.41 (0.1,2.9)
1.18(0.3,5.0)
2.98(1.1,7.9)
6.40 (3.3,12.3)
10.33 (5.7,18.7)
13.00 (7.3,23.3)
20.16 (8.9,45.6)
Inland West
1.38 (0.3,5.7)
0.11 (0.0,0.7)
0.33 (0.1,1.1)
0.98(0.3,2.9)
2.82 (0.8,9.9)
5.67 (1.2,25.9)
8.71 (1.7,45.3)
16.37 (3.0,88.8)
C-28

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Table C-15. Freshwater fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25
th
50
th
75th
90th
95th
97th
99th
All Youth
0.82 (0.5,1.5)
0.04(0.0,0.2)
0.16 (0.1,0.5)
0.62 (0.3,1.4)
1.85 (1.0,3.5)
3.41 (1.9,6.2)
5.16 (2.9,9.2)
10.68 (5.6,20.2)
VJcMUcl
Female
0.55 (0.3,1.1)
0.02
0.0,0.1)
0.10
0.0,0.3)
0.39 (0.2,0.9)
1.23 (0.6,2.4)
2.30 (1.1,4.7)
3.35 (1.5,7.4)
7.77 (3.7,16.3)
Male
A fTQ
1.10 (0.6,2.0)
0.07
0.0,0.4)
0.26
0.1,0.8)
0.88(0.4,2.0)
2.57 (1.3,4.9)
4.64(2.6,8.4)
6.67 (3.7,12.1)
13.23 (7.0,24.9)
Mge
1 to <3 yrs
0.81 (0.4,1.6)
0.04
0.0,0.5)
0.15
0.0,0.8)
0.54(0.2,1.6)
1.79 (0.7,4.3)
3.47 (1.6,7.4)
5.33 (2.5,11.3)
10.68 (5.3,21.6)
3 to <6 yrs
0.79 (0.3,1.9)
0.02
0.0,0.2)
0.16
0.0,1.5)
0.66 (0.1,3.4)
1.74(0.7,4.2)
3.32 (1.5,7.5)
4.87 (2.2,11.0)
9.73 (3.5,27.2)
6 to <11 yrs
0.83 (0.4,1.6)
0.07
0.0,0.5)
0.24
0.1,1.0)
0.76 (0.3,2.1)
2.01 (1.0,4.2)
3.46 (1.7,7.0)
4.99 (2.3,10.7)
8.61 (3.2,23.3)
11 to <16 yrs
0.97 (0.4,2.1)
0.05
0.0,0.3)
0.21
0.0,1.0)
0.74(0.2,2.2)
2.31 (0.9,5.8)
4.17 (1.9,9.3)
6.08(2.8,13.1)
12.97 (5.9,28.5)
16 to <18 yrs
0.64(0.1,3.3)
0.03
0.0,0.3)
0.10
0.0,1.1)
0.38(0.0,3.7)
1.23 (0.2,8.9)
2.72 (0.6,12.3)
4.23 (1.0,18.1)
10.17 (2.8,36.3)
18 to <21 yrs
1 nrnmo
0.78(0.3,2.2)
0.02
0.0,0.1)
0.08
0.0,0.2)
0.38(0.1,1.4)
1.39 (0.3,5.5)
2.93 (0.8,10.4)
4.83 (1.6,14.8)
11.99 (4.4,32.7)
1 IllUIIlC
<$20,000
1.19 (0.6,2.3)
0.06
0.0,0.4)
0.24
0.1,0.9)
0.90 (0.3,2.5)
2.75 (1.3,5.9)
5.23 (2.6,10.6)
7.86 (3.9,15.7)
14.19 (7.3,27.5)
>$20,000
0.73 (0.4,1.4)
0.03
0.0,0.2)
0.15
0.0,0.5)
0.55 (0.2,1.3)
1.62 (0.8,3.3)
3.01 (1.5,6.1)
4.48(2.2,9.3)
9.20 (4.1,20.7)
Income unknown
1.08(0.3,3.5)
0.03
0.0,0.2)
0.20
0.0,1.2)
0.75 (0.2,3.1)
2.64(0.6,12.2)
4.69 (1.2,18.4)
7.81 (1.7,36.9)
12.87 (3.4,48.3)
Income, finer detail










<$20,000
1.19 (0.6,2.3)
0.06
0.0,0.4)
0.24
0.1,0.9)
0.90 (0.3,2.5)
2.75 (1.3,5.9)
5.23 (2.6,10.6)
7.86 (3.9,15.7)
14.19 (7.3,27.5)
$20k-$45k
0.86 (0.4,2.1)
0.04
0.0,0.2)
0.18
0.1,0.5)
0.66 (0.3,1.5)
1.95 (0.8,4.5)
3.46 (1.3,9.0)
5.07 (1.9,13.8)
11.43 (4.8,27.0)
$45k-$75k
0.64(0.3,1.3)
0.03
0.0,0.2)
0.13
0.0,0.5)
0.46 (0.2,1.1)
1.34(0.6,2.9)
2.67 (1.3,5.5)
4.21 (2.0,8.7)
8.50 (3.8,19.1)
$75k+
0.66 (0.3,1.4)
0.03
0.0,0.2)
0.14
0.0,0.5)
0.49 (0.2,1.3)
1.53 (0.7,3.5)
2.76 (1.3,6.1)
4.15 (1.9,9.0)
7.49 (2.6,21.5)
>$20,000
0.78(0.2,2.9)
0.04
0.0,0.3)
0.18
0.0,1.5)
0.62 (0.1,3.0)
2.01 (0.4,9.4)
3.37 (0.9,12.8)
4.54(1.3,16.0)
9.33 (2.1,42.0)
Inc Ref/DK
1.01 (0.3,3.1)
0.04
0.0,0.2)
0.17
0.0,0.7)
0.65 (0.2,2.0)
1.94(0.8,4.9)
3.89 (1.5,10.4)
6.46 (2.1,19.8)
19.01 (3.7,97.2)
Inc missing
1.17 (0.1,17.2)
0.03
0.0,0.4)
0.26
0.0,8.2)
1.15 (0.0,31.4)
2.79 (0.2,46.0)
5.28(0.3,82.7)
7.85 (0.4,139.4)
11.06 (1.1,114.8)
Race/Ethnicity










Mexican American
1.12 (0.5,2.4)
0.11
0.0,1.1)
0.34
0.1,1.8)
1.05 (0.3,3.4)
2.70 (1.2,6.2)
4.73 (2.2,10.0)
6.48(3.3,12.8)
11.51 (5.8,22.8)
Other Hispanic
1.12 (0.2,5.1)
0.02
0.0,0.1)
0.11
0.0,0.5)
0.65 (0.2,2.6)
2.54(0.6,9.9)
5.59 (1.2,26.0)
7.86 (1.5,40.4)
18.85 (2.6,135.1)
White
0.40 (0.2,1.0)
0.02
0.0,0.1)
0.10
0.0,0.3)
0.34(0.1,0.9)
1.00 (0.4,2.4)
1.78(0.7,4.5)
2.55 (1.0,6.6)
4.60 (1.4,15.0)
Black
1.91 (0.9,4.0)
0.17
0.0,0.6)
0.55
0.2,1.4)
1.64(0.8,3.6)
4.36 (2.0,9.3)
8.14(3.8,17.2)
11.83 (5.6,25.2)
22.67 (10.4,49.4)
Other race
1.20 (0.4,3.3)
0.04
0.0,0.4)
0.17
0.0,0.8)
0.79 (0.2,2.7)
3.05 (1.0,9.7)
5.83 (2.0,17.2)
8.40 (2.8,25.6)
16.43 (4.8,55.7)
C-29

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Table C-15. Freshwater fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.80 (0.3,2.1)
0.03 (0.0,0.2)
0.14(0.0,0.6)
0.56 (0.2,1.9)
1.73 (0.6,4.9)
3.16 (1.2,8.6)
4.66 (1.7,13.0)
9.83 (3.2,30.1)
Northeast
0.59 (0.2,1.4)
0.02 (0.0,0.1)
0.11 (0.0,0.6)
0.44(0.1,1.8)
1.35 (0.5,3.9)
2.52 (1.0,6.3)
3.87 (1.5,9.9)
7.69 (3.2,18.4)
South
1.08 (0.5,2.2)
0.07 (0.0,0.4)
0.26 (0.1,1.1)
0.89 (0.3,2.5)
2.52 (1.2,5.5)
4.62 (2.2,9.6)
6.80 (3.2,14.5)
13.25 (6.3,28.0)
West
0.64(0.2,1.8)
0.03 (0.0,0.2)
0.13 (0.0,0.4)
0.45 (0.2,1.2)
1.43 (0.6,3.5)
2.71 (1.1,6.7)
4.23 (1.7,10.2)
8.99 (3.2,25.3)
Coastal Status








Noncoastal
0.76 (0.4,1.5)
0.03 (0.0,0.1)
0.13 (0.0,0.4)
0.49 (0.2,1.3)
1.60 (0.7,3.6)
3.06 (1.5,6.4)
4.77 (2.4,9.6)
10.87 (5.6,21.1)
Coastal
0.92 (0.5,1.8)
0.06 (0.0,0.3)
0.23 (0.1,0.7)
0.79 (0.4,1.7)
2.22 (1.2,4.1)
3.97 (2.0,7.7)
5.77 (2.7,12.2)
10.60 (3.8,29.5)
Coastal/Inland Region








Pacific
0.91 (0.3,2.4)
0.07 (0.0,0.3)
0.25 (0.1,0.8)
0.82 (0.3,2.0)
2.32 (1.1,5.1)
4.14(1.8,9.5)
5.81 (2.2,15.2)
9.94(2.6,38.6)
Atlantic
0.87 (0.4,2.0)
0.06 (0.0,0.5)
0.24(0.0,1.7)
0.83 (0.2,3.5)
2.04(0.8,5.1)
3.63 (1.6,8.5)
5.12 (2.2,12.0)
9.60 (4.1,22.6)
Gulf of Mexico
1.67 (0.5,5.5)
0.10 (0.0,1.3)
0.40 (0.1,2.9)
1.46 (0.3,6.8)
3.95 (1.0,14.9)
7.34(2.1,26.1)
10.22 (3.1,33.4)
21.89 (7.4,65.1)
Great Lakes
0.35 (0.0,6.9)
0.02 (0.0,0.1)
0.09 (0.0,0.6)
0.30 (0.0,3.1)
0.83 (0.0,14.1)
1.51 (0.1,31.6)
2.36 (0.1,44.7)
4.34 (0.2,117.5)
Inland Northeast
0.34(0.1,1.4)
0.02 (0.0,0.1)
0.06 (0.0,0.3)
0.20 (0.0,0.9)
0.63 (0.1,3.0)
1.25 (0.3,5.9)
1.93 (0.4,9.5)
5.99 (1.5,24.2)
Inland Midwest
0.93 (0.4,2.5)
0.03 (0.0,0.3)
0.16 (0.0,1.0)
0.68(0.1,3.1)
2.04(0.6,6.6)
3.52 (1.3,9.5)
5.23 (2.1,13.3)
11.49 (4.5,29.5)
Inland South
1.01 (0.4,2.5)
0.06 (0.0,0.4)
0.24 (0.1,1.1)
0.83 (0.3,2.6)
2.38(0.9,6.2)
4.39 (1.8,10.9)
6.52 (2.6,16.3)
12.88 (5.3,31.5)
Inland West
0.42 (0.1,2.0)
0.02 (0.0,0.1)
0.07 (0.0,0.3)
0.26 (0.1,0.9)
0.72 (0.2,3.3)
1.29 (0.2,8.0)
2.09 (0.4,12.2)
6.05 (1.1,32.5)
C-30

-------
Table C-16. Estuarine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
fiPnHor
5.18 (4.1,6.6)
0.73 (0.4,1.3)
2.44(1.4,4.1)
6.35 (4.5,9.0)
13.16 (10.5,16.6)
19.32 (14.8,25.1)
24.45 (17.9,33.4)
37.02 (24.5,56.0)
vjciiuci
Female
4.44 (3.4,5.8)
0.67
0.4,1.2)
2.17 (1.2,3.8)
5.54(3.8,8.0)
11.21 (8.7,14.4)
16.28 (12.4,21.4)
20.66 (14.9,28.7)
31.17 (19.7,49.2)
Male
A np
6.06 (4.8,7.7)
0.81
0.5,1.3)
2.83 (1.7,4.7)
7.45 (5.2,10.7)
15.46 (12.1,19.8)
22.62 (17.1,29.9)
28.35 (20.7,38.9)
44.50 (26.5,74.8)
age
1 to <3 yrs
1.39 (0.6,3.1)
0.13
0.1,0.3)
0.41 (0.2,0.8)
1.26 (0.7,2.1)
3.09 (1.7,5.7)
5.40 (2.5,11.9)
8.35 (2.7,25.5)
16.46 (3.6,74.5)
3 to <6 yrs
1.55 (1.0,2.5)
0.18
0.1,0.4)
0.59 (0.3,1.1)
1.73 (1.0,3.1)
3.94 (2.3,6.7)
6.37 (4.0,10.1)
8.80 (5.5,14.2)
13.35 (8.1,21.9)
6 to <11 yrs
2.05 (1.3,3.2)
0.19
0.1,0.5)
0.64(0.3,1.4)
2.02 (1.0,4.0)
5.12 (3.1,8.4)
8.54(5.4,13.6)
11.65 (7.3,18.5)
20.96 (10.9,40.4)
11 to <16 yrs
2.52 (1.4,4.5)
0.28
0.1,0.7)
0.91 (0.4,2.0)
2.79 (1.4,5.4)
6.38(3.4,12.1)
10.49 (6.3,17.5)
13.48 (7.6,23.9)
21.42 (11.5,39.9)
16 to <18 yrs
2.59 (1.5,4.4)
0.24
0.1,0.8)
0.76 (0.2,2.5)
2.39 (0.9,6.5)
6.22 (3.0,13.1)
11.09 (6.9,17.8)
15.43 (9.9,24.0)
30.44 (13.5,68.8)
18 to <21 yrs
4.66 (2.7,8.1)
0.62
0.3,1.3)
1.98 (1.1,3.5)
5.58 (3.3,9.4)
12.43 (6.5,23.6)
17.81 (10.0,31.8)
22.26 (12.4,40.0)
36.21 (17.2,76.2)
21 to <35 yrs
6.60 (5.0,8.7)
1.17
0.7,1.9)
3.39 (2.4,4.8)
7.92 (6.2,10.1)
15.85 (11.9,21.0)
23.32 (16.3,33.3)
29.72 (19.8,44.5)
48.45 (25.3,93.0)
35 to <50 yrs
6.51 (4.8,8.9)
1.45
0.8,2.6)
3.62 (2.1,6.3)
8.12 (5.4,12.2)
15.71 (11.4,21.6)
22.11 (15.7,31.2)
27.59 (19.0,40.0)
40.45 (25.7,63.7)
50 to <65 yrs
6.51 (4.8,8.9)
1.57
0.6,3.9)
3.96 (2.1,7.4)
8.54(6.0,12.2)
15.51 (11.9,20.2)
21.31 (15.9,28.6)
25.97 (18.5,36.4)
36.35 (24.2,54.7)
65+ yrs
1 nrn m o
4.77 (3.3,6.9)
0.91
0.4,2.3)
2.41 (1.1,5.4)
5.81 (3.4,10.1)
11.94 (8.6,16.5)
17.48 (12.7,24.1)
21.78 (15.1,31.5)
33.63 (18.1,62.7)
1 IllUIIlc
<$20,000
4.66 (3.7,5.9)
0.59
0.3,1.0)
2.05 (1.2,3.4)
5.59 (4.0,7.9)
11.65 (8.9,15.2)
16.65 (12.3,22.6)
21.59 (16.2,28.8)
35.25 (23.7,52.5)
>$20,000
5.20 (4.0,6.7)
0.76
0.4,1.3)
2.47 (1.4,4.4)
6.38(4.3,9.4)
13.22 (10.4,16.9)
19.47 (14.7,25.8)
24.55 (17.7,34.0)
36.92 (24.1,56.6)
Income unknown
7.13 (4.2,12.0)
1.02
0.5,1.9)
3.83 (1.9,7.7)
9.72 (5.1,18.6)
18.37 (10.7,31.5)
25.19 (15.3,41.5)
31.91 (17.9,57.0)
42.98 (24.0,77.0)
Income, finer detail









<$20,000
4.66 (3.7,5.9)
0.59
0.3,1.0)
2.05 (1.2,3.4)
5.59 (4.0,7.9)
11.65 (8.9,15.2)
16.65 (12.3,22.6)
21.59 (16.2,28.8)
35.25 (23.7,52.5)
$20k-$45k
4.52 (3.5,5.8)
0.62
0.3,1.2)
2.10 (1.3,3.5)
5.49 (3.9,7.7)
11.52 (8.9,14.9)
17.03 (12.4,23.3)
21.58 (15.1,30.9)
33.75 (21.0,54.3)
$45k-$75k
4.66 (3.4,6.3)
0.64
0.3,1.3)
2.19 (1.2,4.0)
5.73 (3.8,8.7)
11.89 (8.9,15.9)
17.72 (12.8,24.6)
22.11 (15.5,31.5)
33.10 (21.0,52.3)
$75k+
6.09 (4.5,8.2)
0.98
0.5,1.8)
3.05 (1.5,6.0)
7.54(4.7,12.2)
15.35 (11.6,20.3)
22.20 (16.7,29.5)
28.20 (20.0,39.7)
42.45 (25.8,69.9)
>$20,000
5.77 (3.1,10.8)
1.03
0.5,2.1)
3.10 (1.7,5.7)
7.56 (4.2,13.5)
14.88 (6.8,32.6)
20.22 (9.2,44.2)
24.68 (10.7,56.8)
33.99 (14.3,80.6)
Inc Ref/DK
6.44 (4.0,10.3)
0.95
0.5,1.8)
3.56 (2.0,6.3)
8.34(5.3,13.1)
16.87 (9.7,29.3)
23.67 (13.2,42.4)
27.08 (16.0,45.9)
41.18 (20.1,84.5)
Inc missing
8.45 (2.7,26.4)
1.16
0.3,4.5)
4.34(1.1,17.3)
11.46 (3.2,41.5)
21.36 (7.3,62.3)
31.91 (9.6,106.0)
38.06 (12.5,116.0)
48.18 (18.8,123.7)
Race/Ethnicity









Mexican American
5.73 (4.0,8.2)
0.77
0.4,1.3)
2.69 (1.6,4.5)
7.32 (4.9,10.9)
14.79 (10.5,20.9)
21.06 (14.6,30.4)
26.10 (17.6,38.7)
39.91 (26.3,60.5)
Other Hispanic
5.97 (4.2,8.5)
0.63
0.3,1.2)
2.51 (1.3,4.7)
6.97 (4.0,12.3)
15.57 (10.7,22.6)
23.35 (15.1,36.1)
29.69 (18.2,48.5)
43.15 (23.9,78.0)
White
4.39 (3.2,6.0)
0.64
0.4,1.1)
2.11 (1.2,3.9)
5.42 (3.5,8.4)
11.15 (8.3,15.0)
16.33 (12.3,21.6)
20.72 (15.3,28.1)
30.77 (20.8,45.6)
Black
5.40 (3.7,7.8)
1.00
0.5,2.0)
3.08 (1.7,5.6)
7.15 (4.7,10.8)
13.27 (9.5,18.6)
18.31 (12.9,26.0)
22.43 (15.6,32.2)
33.24 (21.9,50.5)
Other race
11.53 (6.2,21.4)
2.08
1.1,4.0)
6.36 (3.9,10.3)
14.94 (8.4,26.5)
28.11 (14.4,55.0)
39.90 (19.0,83.8)
52.33 (20.5,133.5)
73.44 (29.0,185.8)
C-31

-------
Table C-16. Estuarine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.80 (1.7,4.5)
0.42 (0.2,0.8)
1.33 (0.7,2.5)
3.26 (1.8,5.9)
6.59 (3.8,11.4)
10.08 (6.3,16.2)
13.20 (8.4,20.8)
22.01 (13.3,36.5)
Northeast
6.43 (5.2,8.0)
0.91 (0.4,1.8)
3.40 (1.8,6.3)
8.72 (6.7,11.3)
16.25 (13.1,20.2)
23.10 (17.1,31.2)
27.73 (20.1,38.2)
39.07 (25.7,59.5)
South
5.95 (4.3,8.1)
0.96 (0.5,1.7)
3.05 (1.8,5.1)
7.43 (5.2,10.7)
14.61 (10.6,20.1)
21.16 (14.9,30.1)
26.47 (18.1,38.6)
42.33 (23.0,77.8)
West
5.71 (4.1,7.9)
0.86 (0.4,1.7)
2.89 (1.6,5.1)
7.09 (4.7,10.6)
14.20 (10.2,19.8)
20.70 (14.0,30.6)
25.95 (16.5,40.8)
39.14 (21.8,70.1)
Coastal Status








Noncoastal
4.16 (3.2,5.4)
0.58(0.3,1.1)
1.93 (1.1,3.4)
4.99 (3.3,7.6)
10.49 (8.0,13.8)
15.59 (11.6,21.0)
20.19 (14.1,29.0)
31.44 (18.7,52.9)
Coastal
6.77 (5.0,9.2)
1.11 (0.6,2.2)
3.55 (1.9,6.7)
8.67 (5.8,13.0)
16.76 (12.6,22.3)
23.86 (17.7,32.2)
29.47 (21.3,40.7)
46.68 (27.3,79.9)
Coastal/Inland Region








Pacific
6.27 (3.9,10.1)
0.97 (0.5,2.0)
3.24(1.6,6.7)
7.92 (4.7,13.4)
15.79 (9.8,25.4)
22.03 (13.0,37.3)
28.59 (15.6,52.5)
42.53 (20.8,86.8)
Atlantic
6.65 (3.9,11.4)
1.31 (0.4,4.1)
3.98(1.6,10.0)
8.86 (4.6,16.9)
16.22 (10.5,25.2)
22.05 (14.7,33.1)
26.04 (17.0,39.8)
38.26 (24.8,59.0)
Gulf of Mexico
10.46 (5.8,19.0)
1.93 (0.5,6.8)
6.03 (2.4,15.0)
13.84 (7.3,26.2)
25.08 (15.0,42.0)
34.75 (20.8,58.0)
47.02 (23.2,95.3)
66.74 (31.9,139.5)
Great Lakes
4.58(3.1,6.9)
0.60 (0.3,1.3)
1.96 (0.8,4.7)
5.12 (2.8,9.3)
10.79 (7.0,16.6)
17.52 (11.3,27.2)
23.39 (13.9,39.2)
38.79 (19.4,77.4)
Inland Northeast
6.11 (4.5,8.2)
0.67 (0.2,1.9)
2.78(1.2,6.4)
8.17 (5.9,11.4)
16.07 (10.7,24.1)
23.56 (13.4,41.4)
28.49 (15.8,51.3)
39.78 (21.7,72.9)
Inland Midwest
2.31 (1.5,3.5)
0.39 (0.2,0.7)
1.22 (0.7,2.1)
2.91 (1.9,4.5)
5.62 (3.6,8.8)
8.24(5.4,12.6)
10.49 (6.6,16.7)
15.99 (9.5,26.9)
Inland South
4.51 (3.4,5.9)
0.74(0.5,1.2)
2.38(1.6,3.6)
5.68(4.3,7.6)
10.91 (8.2,14.5)
15.79 (11.1,22.4)
19.91 (12.9,30.6)
29.95 (17.2,52.3)
Inland West
5.15 (3.6,7.5)
0.80 (0.4,1.7)
2.52 (1.3,4.9)
6.26 (3.9,10.1)
12.82 (8.9,18.5)
18.71 (12.2,28.6)
24.19 (14.2,41.1)
36.99 (18.4,74.5)
C-32

-------
Table C-17. Estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
6.27 (5.0,7.9)
1.29 (0.7,2.4)
3.42 (2.0,5.7)
7.80 (5.6,10.8)
15.05 (11.9,19.0)
21.63 (16.3,28.7)
26.92 (19.4,37.4)
40.69 (25.5,64.9)
vjcllUcl
Female
5.17 (4.0,6.7)
1.09 (0.6,2.0)
2.87 (1.7,4.9)
6.58(4.8,9.1)
12.55 (9.8,16.0)
17.82
13.3,23.9)
22.16 (15.7,31.4)
32.48 (20.5,51.5)
Male
A np
7.67 (6.0,9.9)
1.65 (0.9,3.2)
4.29 (2.5,7.3)
9.65 (7.0,13.3)
18.26 (14.1,23.6)
25.80
19.1,34.9)
32.46 (22.4,46.9)
50.19 (27.4,91.8)
age
21 to <35 yrs
6.60 (5.0,8.7)
1.17 (0.7,1.9)
3.39 (2.4,4.8)
7.92 (6.2,10.1)
15.85 (11.9,21.0)
23.32
16.3,33.3)
29.72 (19.8,44.5)
48.45 (25.3,93.0)
35 to <50 yrs
6.51 (4.8,8.9)
1.45 (0.8,2.6)
3.62 (2.1,6.3)
8.12 (5.4,12.2)
15.71 (11.4,21.6)
22.11
15.7,31.2)
27.59 (19.0,40.0)
40.45 (25.7,63.7)
50 to <65 yrs
6.51 (4.8,8.9)
1.57 (0.6,3.9)
3.96 (2.1,7.4)
8.54(6.0,12.2)
15.51 (11.9,20.2)
21.31
15.9,28.6)
25.97 (18.5,36.4)
36.35 (24.2,54.7)
65+ yrs
4.77 (3.3,6.9)
0.91 (0.4,2.3)
2.41 (1.1,5.4)
5.81 (3.4,10.1)
11.94 (8.6,16.5)
17.48
12.7,24.1)
21.78 (15.1,31.5)
33.63 (18.1,62.7)
WCA (13-49 years)
1 nrnmo
4.81 (3.8,6.1)
0.81 (0.5,1.3)
2.49 (1.6,3.9)
6.06 (4.5,8.1)
11.96 (9.3,15.3)
17.24
13.0,22.8)
21.55 (15.7,29.5)
32.23 (21.9,47.5)
1 IllUIIlC
<$20,000
5.62 (4.4,7.2)
0.93 (0.5,1.7)
2.83 (1.7,4.7)
6.93 (5.1,9.5)
13.33 (10.1,17.6)
19.03
14.1,25.7)
24.77 (18.1,33.8)
42.62 (22.1,82.3)
>$20,000
6.30 (4.9,8.1)
1.35 (0.7,2.6)
3.47 (2.0,6.1)
7.86 (5.5,11.2)
15.21 (11.9,19.4)
21.73
16.2,29.2)
27.04 (19.1,38.2)
39.86 (25.6,62.1)
Income unknown
8.37 (5.0,14.0)
1.84 (0.8,4.0)
5.13 (2.8,9.4)
11.18 (6.5,19.3)
20.54 (11.8,35.6)
27.94
16.1,48.5)
35.10 (17.8,69.1)
45.20 (24.2,84.3)
Income, finer detail









<$20,000
5.62 (4.4,7.2)
0.93 (0.5,1.7)
2.83 (1.7,4.7)
6.93 (5.1,9.5)
13.33 (10.1,17.6)
19.03
14.1,25.7)
24.77 (18.1,33.8)
42.62 (22.1,82.3)
$20k-$45k
5.41 (4.2,7.0)
1.05 (0.5,2.0)
2.88(1.7,4.8)
6.72 (4.9,9.2)
13.08 (10.1,16.9)
18.98
13.6,26.4)
24.00 (16.3,35.3)
38.34 (21.2,69.4)
$45k-$75k
5.67 (4.2,7.6)
1.18(0.6,2.3)
3.12 (1.9,5.2)
7.07 (4.9,10.2)
13.76 (10.3,18.4)
19.92
13.9,28.5)
24.57 (16.5,36.6)
36.13 (22.0,59.3)
$75k+
7.45 (5.5,10.2)
1.79 (0.8,4.1)
4.36 (2.3,8.3)
9.38(6.1,14.4)
17.61 (13.2,23.4)
25.08
18.4,34.1)
30.66 (21.6,43.4)
45.85 (27.1,77.6)
>$20,000
6.62 (3.7,11.9)
1.50 (0.7,3.3)
3.79 (1.9,7.4)
8.82 (5.1,15.3)
16.38 (7.4,36.1)
21.62
10.0,46.7)
27.37 (10.6,70.6)
34.49 (15.5,76.6)
Inc Ref/DK
7.54 (4.7,12.2)
1.58(0.8,2.9)
4.56 (2.8,7.5)
10.31 (6.1,17.5)
18.37 (10.9,30.9)
24.69
14.2,43.0)
30.61 (16.4,57.0)
41.64 (20.4,85.0)
Inc missing
10.25 (3.3,32.2)
2.38 (0.4,13.0)
6.65 (1.6,27.2)
13.17 (4.4,39.0)
23.90 (8.3,69.1)
36.35
9.8,135.1)
45.20 (11.1,184.6)
57.11 (16.8,193.7)
Race/Ethnicity









Mexican American
7.85 (5.5,11.2)
1.69 (0.9,3.1)
4.81 (3.0,7.8)
10.22 (7.0,15.0)
18.43 (12.9,26.4)
25.58
17.7,36.9)
31.43 (21.4,46.1)
46.77 (30.3,72.3)
Other Hispanic
8.36 (5.5,12.7)
1.76 (1.0,3.1)
4.64(2.8,7.7)
10.11 (6.5,15.7)
19.55 (12.9,29.6)
28.64
16.5,49.8)
36.53 (18.4,72.6)
54.82 (21.9,137.5)
White
5.24(3.8,7.2)
1.13 (0.6,2.2)
2.93 (1.6,5.3)
6.62 (4.4,10.0)
12.70 (9.5,17.1)
18.11
13.6,24.1)
22.62 (16.5,31.1)
33.30 (21.8,50.9)
Black
6.58(4.9,8.9)
1.65 (0.8,3.2)
4.20 (2.6,6.8)
8.66 (6.1,12.3)
15.39 (11.5,20.6)
20.80
15.1,28.7)
25.16 (17.5,36.2)
35.80 (22.8,56.3)
Other race
13.68 (7.8,23.9)
3.36 (1.9,5.9)
8.71 (5.2,14.7)
18.04 (10.1,32.2)
30.94 (17.5,54.8)
44.50
21.3,92.9)
57.03 (23.3,139.3)
79.90 (30.5,209.2)
Table C-17. Estuarine fish usual fish consumption rate estimates, adults >21 years (continued)
C-33

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Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
3.19 (2.0,5.1)
0.71 (0.3,1.5)
1.76 (0.9,3.5)
3.74(2.0,7.0)
7.24 (4.4,11.8)
10.57 (6.8,16.5)
13.72 (8.9,21.0)
23.22 (13.6,39.8)
Northeast
7.91 (6.4,9.8)
1.95 (1.0,3.8)
5.03 (3.2,8.0)
10.62 (8.3,13.5)
18.73 (14.8,23.7)
25.31 (18.6,34.5)
30.67 (21.2,44.4)
41.58 (27.2,63.5)
South
7.22 (5.3,9.8)
1.66 (0.9,3.1)
4.24(2.7,6.7)
9.00 (6.3,12.9)
17.02 (12.3,23.5)
23.92 (16.7,34.3)
29.47 (19.9,43.6)
47.57 (23.7,95.7)
West
7.03 (5.0,9.8)
1.68(0.9,3.3)
4.09 (2.4,7.1)
8.93 (6.3,12.7)
16.42 (11.6,23.3)
23.00 (15.3,34.6)
28.92 (17.6,47.5)
42.22 (23.6,75.4)
Coastal Status








Noncoastal
5.10 (3.9,6.6)
1.03 (0.5,1.9)
2.71 (1.5,4.8)
6.27 (4.4,9.0)
12.28 (9.3,16.2)
18.07 (12.8,25.5)
22.63 (15.1,33.9)
34.19 (19.9,58.9)
Coastal
8.10 (5.9,11.0)
1.99 (0.9,4.3)
4.90 (2.8,8.7)
10.37 (7.1,15.1)
18.79 (13.9,25.3)
25.85 (19.0,35.1)
31.95 (22.8,44.8)
50.54 (28.1,91.0)
Coastal/Inland Region








Pacific
7.29 (4.3,12.4)
1.76 (0.7,4.5)
4.34(2.1,9.1)
9.48(5.6,16.1)
17.19 (10.3,28.8)
23.86 (13.6,41.8)
29.33 (15.8,54.4)
42.83 (20.6,89.0)
Atlantic
8.09 (4.9,13.4)
2.42 (0.9,6.6)
5.39 (2.4,12.2)
10.68 (6.0,18.9)
18.04 (11.5,28.3)
24.45 (16.6,36.0)
28.93 (19.5,42.9)
43.37 (26.4,71.3)
Gulf of Mexico
12.81 (7.8,21.0)
3.48(1.3,9.4)
8.18(3.9,17.3)
16.51 (9.5,28.6)
28.24 (17.9,44.5)
41.56 (23.4,73.8)
51.91 (26.7,100.9)
70.78 (36.1,138.9)
Great Lakes
5.33 (3.5,8.1)
1.10 (0.4,3.0)
2.70 (1.2,6.0)
6.05 (3.7,10.0)
11.87 (7.8,18.0)
18.84 (10.3,34.3)
24.43 (12.5,47.9)
42.46 (16.0,112.8)
Inland Northeast
7.58(5.3,10.8)
1.52 (0.6,3.6)
4.45 (2.5,7.9)
10.15 (7.1,14.5)
19.01 (11.2,32.1)
25.71 (14.3,46.1)
31.91 (15.9,63.9)
41.28 (23.2,73.4)
Inland Midwest
2.63 (1.7,4.1)
0.64(0.3,1.2)
1.59 (0.9,2.8)
3.37 (2.1,5.5)
6.17 (3.9,9.7)
8.54(5.3,13.7)
10.81 (6.7,17.4)
16.25 (9.5,27.7)
Inland South
5.48 (4.1,7.3)
1.26 (0.7,2.2)
3.26 (2.2,4.9)
6.95 (5.3,9.2)
12.55 (9.2,17.1)
18.23 (12.0,27.8)
21.98 (14.1,34.3)
33.55 (17.8,63.4)
Inland West
6.75 (4.8,9.5)
1.59 (0.9,2.9)
3.88(2.3,6.4)
8.44(6.0,11.9)
15.63 (10.6,23.0)
22.31 (13.5,37.0)
28.08 (15.2,52.0)
42.22 (18.8,94.8)
C-34

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Table C-18. Estuarine fish usual fish consumption rate estimates, youth >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
2.47 (1.9,3.3)
0.24(0.1,0.4)
0.79 (0.5,1.3)
2.45 (1.6,3.9)
6.21 (4.4,8.7)
10.64 (7.9,14.3)
14.41 (10.4,20.0)
23.22 (16.2,33.2)
vjcllUcl
Female
2.46 (1.7,3.5)
0.24
0.1,0.5)
0.79
0.4,1.4)
2.47 (1.5,4.2)
6.26 (4.3,9.2)
10.64 (7.5,15.1)
14.38 (9.9,20.9)
22.22 (15.2,32.5)
Male
A fTQ
2.48(1.9,3.3)
0.25
0.1,0.4)
0.79
0.5,1.2)
2.43 (1.6,3.6)
6.18(4.4,8.6)
10.63 (7.8,14.4)
14.44 (10.2,20.5)
23.89 (15.7,36.3)
Mge
1 to <3 yrs
1.39 (0.6,3.1)
0.13
0.1,0.3)
0.41
0.2,0.8)
1.26 (0.7,2.1)
3.09 (1.7,5.7)
5.40 (2.5,11.9)
8.35 (2.7,25.5)
16.46 (3.6,74.5)
3 to <6 yrs
1.55 (1.0,2.5)
0.18
0.1,0.4)
0.59
0.3,1.1)
1.73 (1.0,3.1)
3.94(2.3,6.7)
6.37 (4.0,10.1)
8.80 (5.5,14.2)
13.35 (8.1,21.9)
6 to <11 yrs
2.05 (1.3,3.2)
0.19
0.1,0.5)
0.64
0.3,1.4)
2.02 (1.0,4.0)
5.12 (3.1,8.4)
8.54(5.4,13.6)
11.65 (7.3,18.5)
20.96 (10.9,40.4)
11 to <16 yrs
2.52 (1.4,4.5)
0.28
0.1,0.7)
0.91
0.4,2.0)
2.79 (1.4,5.4)
6.38(3.4,12.1)
10.49 (6.3,17.5)
13.48 (7.6,23.9)
21.42 (11.5,39.9)
16 to <18 yrs
2.59 (1.5,4.4)
0.24
0.1,0.8)
0.76
0.2,2.5)
2.39 (0.9,6.5)
6.22 (3.0,13.1)
11.09 (6.9,17.8)
15.43 (9.9,24.0)
30.44 (13.5,68.8)
18 to <21 yrs
1 nrnmo
4.66 (2.7,8.1)
0.62
0.3,1.3)
1.98
1.1,3.5)
5.58(3.3,9.4)
12.43 (6.5,23.6)
17.81 (10.0,31.8)
22.26 (12.4,40.0)
36.21 (17.2,76.2)
1 IllUIIlC
<$20,000
2.69 (2.0,3.6)
0.29
0.2,0.5)
0.91
0.6,1.5)
2.92 (2.0,4.3)
7.13 (5.2,9.7)
11.32 (8.2,15.5)
14.92 (10.9,20.4)
22.39 (14.6,34.3)
>$20,000
2.34(1.7,3.2)
0.23
o
o
0.75
0.4,1.3)
2.29 (1.4,3.8)
5.82 (4.0,8.5)
10.02 (7.4,13.6)
13.57 (9.7,18.9)
22.26 (15.2,32.5)
Income unknown
4.28(2.0,9.1)
0.37
0.2,0.8)
1.30
0.6,2.7)
4.61 (2.0,10.6)
12.76 (4.3,38.2)
19.78 (7.3,53.9)
23.93 (10.0,57.5)
32.38 (13.4,78.5)
Income, finer detail










<$20,000
2.69 (2.0,3.6)
0.29
0.2,0.5)
0.91
0.6,1.5)
2.92 (2.0,4.3)
7.13 (5.2,9.7)
11.32 (8.2,15.5)
14.92 (10.9,20.4)
22.39 (14.6,34.3)
$20k-$45k
2.27 (1.6,3.2)
0.23
0.1,0.4)
0.73
0.4,1.3)
2.31 (1.6,3.4)
6.04 (4.2,8.7)
9.92 (6.5,15.1)
13.75 (8.2,23.0)
20.79 (13.4,32.2)
$45k-$75k
1.82 (1.0,3.2)
0.19
0.1,0.4)
0.60
0.3,1.2)
1.74(0.7,4.2)
4.56 (2.3,9.1)
7.76 (4.5,13.3)
10.41 (6.2,17.4)
17.24 (9.8,30.4)
$75k+
2.68(1.9,3.7)
0.24
0.1,0.4)
0.87
0.5,1.4)
2.56 (1.5,4.3)
6.28(3.8,10.3)
11.50 (8.1,16.3)
15.63 (10.6,23.1)
28.70 (14.2,57.8)
>$20,000
3.02 (1.6,5.7)
0.36
0.1,0.9)
1.24
0.6,2.7)
3.44(1.7,6.9)
8.63 (3.4,21.9)
12.17 (5.7,26.2)
13.91 (7.3,26.3)
19.28 (9.1,40.7)
Inc Ref/DK
3.45 (1.7,6.9)
0.30
0.1,1.0)
1.14
0.5,2.8)
3.96 (1.7,9.4)
9.92 (4.0,24.9)
15.28 (6.6,35.4)
19.07 (8.7,41.8)
25.19 (11.1,57.2)
Inc missing
5.42 (1.3,22.8)
0.50
0.1,1.8)
1.39
0.4,4.7)
6.44(1.1,37.7)
17.31 (2.5,121.0)
23.93 (4.9,117.0)
30.38 (6.5,141.7)
36.60 (9.9,136.0)
Race/Ethnicity










Mexican American
2.46 (1.5,4.2)
0.31
0.2,0.6)
1.01
0.6,1.7)
2.82 (1.7,4.6)
6.37 (4.1,9.8)
10.04 (6.4,15.7)
13.47 (8.6,21.1)
19.49 (8.5,45.0)
Other Hispanic
1.62 (0.4,7.1)
0.20
0.1,0.6)
0.58
0.2,2.1)
1.66 (0.4,7.8)
4.31 (1.0,18.6)
6.44(1.2,35.6)
8.68(1.7,45.4)
14.61 (3.1,68.8)
White
1.87 (1.2,2.8)
0.19
0.1,0.3)
0.59
0.3,1.0)
1.80 (1.1,2.9)
4.63 (3.1,7.0)
8.06 (5.0,12.9)
12.04 (6.0,24.3)
19.40 (10.2,37.0)
Black
3.02 (1.4,6.5)
0.47
0.2,1.1)
1.39
0.6,3.2)
3.67 (1.6,8.6)
8.00 (4.0,15.8)
11.13 (4.9,25.1)
14.13 (6.4,31.1)
21.24 (9.2,48.9)
Other race
6.92 (2.7,17.4)
0.62
0.3,1.2)
2.88
1.2,6.7)
8.20 (3.9,17.3)
17.81 (7.2,43.9)
29.62 (7.8,112.7)
37.37 (9.3,149.4)
57.94 (12.4,269.7)
C-35

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Table C-18. Estuarine fish usual fish consumption rate estimates, youth >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.82 (0.9,3.6)
0.15 (0.1,0.3)
0.49 (0.2,1.0)
1.52 (0.8,3.1)
4.47 (2.0,10.0)
8.08(3.5,18.6)
11.57 (5.3,25.5)
19.98 (9.1,44.0)
Northeast
2.57 (1.7,3.9)
0.21 (0.1,0.7)
0.74(0.2,2.4)
2.52 (1.1,5.8)
7.09 (5.0,10.0)
12.35 (8.0,19.1)
15.85 (10.2,24.6)
23.22 (14.8,36.5)
South
2.71 (1.8,4.2)
0.34(0.2,0.6)
1.05 (0.6,1.9)
2.96 (1.8,4.9)
6.84 (4.4,10.6)
10.95 (6.8,17.7)
14.71 (8.5,25.4)
22.69 (12.5,41.3)
West
2.70 (1.7,4.3)
0.26 (0.1,0.5)
0.90 (0.5,1.5)
2.68(1.7,4.2)
6.53 (4.2,10.0)
11.48 (6.4,20.6)
15.17 (8.2,27.9)
28.40 (10.0,80.4)
Coastal Status








Noncoastal
1.87 (1.3,2.7)
0.21 (0.1,0.4)
0.64(0.4,1.2)
1.96 (1.2,3.1)
4.78(3.4,6.8)
7.71 (5.5,10.8)
10.68 (7.6,15.1)
16.52 (10.7,25.6)
Coastal
3.43 (2.4,4.8)
0.32 (0.2,0.6)
1.11 (0.6,2.0)
3.51 (2.0,6.3)
9.25 (6.4,13.3)
14.89 (10.2,21.8)
19.73 (13.0,30.0)
32.63 (18.6,57.3)
Coastal/Inland Region








Pacific
3.60 (1.7,7.7)
0.24(0.1,0.5)
0.95 (0.5,1.7)
3.26 (2.0,5.3)
9.79 (4.6,21.0)
15.83 (6.8,36.6)
21.87 (7.9,60.3)
41.59 (7.7,224.4)
Atlantic
2.74(1.3,6.0)
0.37 (0.1,1.1)
1.13 (0.3,3.9)
3.24(1.2,8.8)
7.43 (3.9,14.1)
10.77 (5.6,20.6)
14.10 (8.2,24.2)
20.93 (11.7,37.5)
Gulf of Mexico
5.28(1.3,21.0)
0.75 (0.2,3.7)
2.19 (0.5,10.1)
6.19 (1.4,28.0)
14.28 (3.1,66.5)
20.99 (5.0,88.2)
28.03 (6.6,119.5)
42.33 (11.0,163.5)
Great Lakes
2.92 (1.3,6.6)
0.20 (0.1,0.5)
0.68(0.2,1.9)
2.29 (0.6,9.5)
7.69 (2.7,21.9)
13.99 (6.5,30.3)
19.79 (10.6,36.8)
35.70 (19.9,63.9)
Inland Northeast
2.22 (1.2,4.1)
0.14(0.0,1.0)
0.51 (0.1,3.3)
1.82 (0.4,7.5)
5.29 (2.2,12.7)
12.07 (6.7,21.8)
15.79 (8.6,29.1)
23.30 (13.0,41.8)
Inland Midwest
1.46 (0.7,3.1)
0.14(0.1,0.4)
0.46 (0.2,1.1)
1.33 (0.6,2.9)
3.77 (1.6,8.7)
6.42 (2.7,15.3)
9.22 (3.6,23.9)
15.08 (5.9,38.4)
Inland South
2.04(1.4,2.9)
0.29 (0.2,0.5)
0.85 (0.5,1.4)
2.37 (1.5,3.6)
5.15 (3.5,7.5)
8.00 (5.5,11.6)
10.64 (7.2,15.7)
16.11 (10.3,25.3)
Inland West
1.95 (1.0,3.6)
0.27 (0.1,0.6)
0.85 (0.4,1.7)
2.32 (1.2,4.3)
5.13 (2.9,9.1)
7.44(3.9,14.1)
9.96 (5.3,18.6)
15.02 (7.3,30.8)
C-36

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Table C-19. Freshwater + estuarine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
7.20 (5.6,9.3)
1.10 (0.7,1.8)
3.55 (2.2,5.8)
8.93 (6.3,12.6)
18.03 (14.1,23.0)
26.42 (20.9,33.3)
33.38 (26.0,42.8)
50.86 (37.4,69.1)
VJCllUCl
Female
6.12 (4.6,8.2)
0.95
0.6,1.6)
3.06 (1.8,5.1)
7.57 (5.1,11.3)
15.10 (11.2,20.3)
22.35 (17.2,29.0)
28.17 (21.3,37.2)
42.20 (30.4,58.6)
Male
A np
8.50 (6.6,11.0)
1.33
0.8,2.2)
4.28(2.7,6.8)
10.75 (7.8,14.7)
21.42 (17.0,27.0)
30.85 (24.3,39.1)
38.21 (29.4,49.6)
58.53 (42.5,80.7)
age
1 to <3 yrs
2.17 (1.2,4.0)
0.21
0.1,0.4)
0.66 (0.4,1.2)
2.08(1.3,3.4)
5.07 (3.1,8.3)
8.78(4.7,16.3)
13.40 (5.4,33.3)
25.24 (7.4,86.0)
3 to <6 yrs
2.37 (1.6,3.6)
0.25
0.1,0.5)
0.86 (0.5,1.5)
2.58(1.6,4.3)
6.04(3.9,9.4)
9.65 (6.4,14.6)
12.80 (8.3,19.7)
21.50 (12.3,37.6)
6 to <11 yrs
3.08(2.1,4.5)
0.36
0.2,0.6)
1.14(0.7,1.9)
3.35 (2.2,5.1)
7.80 (5.2,11.8)
12.90 (8.4,19.8)
16.34 (10.3,26.0)
28.29 (17.1,46.7)
11 to <16 yrs
3.55 (2.2,5.8)
0.44
0.2,1.0)
1.33 (0.6,2.9)
4.09 (2.4,7.1)
8.96 (5.3,15.1)
13.63 (7.8,23.8)
18.66 (12.0,29.0)
32.51 (22.1,47.9)
16 to <18 yrs
3.36 (1.6,7.0)
0.30
0.0,1.9)
1.04(0.2,4.9)
3.19
0.9,10.9)
8.18(3.5,19.3)
14.00 (7.5,26.1)
19.21 (11.3,32.8)
37.96 (20.6,70.0)
18 to <21 yrs
5.37 (3.7,7.8)
0.72
0.4,1.4)
2.32 (1.4,3.9)
6.48
4.2,10.1)
14.16 (9.6,21.0)
20.81
13.9,31.2)
27.64 (18.4,41.4)
40.11 (24.7,65.1)
21 to <35 yrs
8.52 (6.6,11.0)
1.62
1.0,2.6)
4.48 (3.2,6.2)
10.30
8.1,13.2)
20.52 (15.6,26.9)
29.91
22.3,40.2)
37.39 (27.7,50.5)
63.76 (36.5,111.4)
35 to <50 yrs
8.73 (6.2,12.3)
1.92
1.1,3.4)
4.82 (2.8,8.3)
10.88
7.1,16.6)
20.91 (14.9,29.4)
29.98
21.4,42.0)
38.00 (26.9,53.8)
56.84 (38.1,84.8)
50 to <65 yrs
9.98(7.3,13.7)
2.73
1.4,5.4)
6.32 (3.7,10.7)
12.85
8.9,18.4)
23.11 (17.6,30.4)
31.87
24.1,42.2)
38.28 (28.1,52.1)
57.09 (38.3,85.1)
65+ yrs
1 nrn m o
7.40 (4.5,12.2)
1.66
0.6,4.8)
4.27 (1.9,9.7)
9.42
5.3,16.6)
17.70 (11.8,26.5)
25.00
17.7,35.4)
31.28 (23.1,42.4)
45.01 (32.0,63.3)
1 IllUIIlc
<$20,000
6.73 (5.2,8.7)
0.94
0.6,1.5)
3.08(2.0,4.8)
8.16
5.7,11.6)
16.53 (12.0,22.8)
25.40
19.9,32.5)
32.27 (24.7,42.2)
50.74 (36.2,71.1)
>$20,000
7.21 (5.4,9.6)
1.13
0.7,1.9)
3.59 (2.1,6.1)
8.94
6.1,13.1)
17.98 (13.8,23.5)
26.28
20.5,33.7)
33.20 (25.7,42.9)
50.63 (37.0,69.2)
Income unknown
9.46 (5.4,16.7)
1.56
0.7,3.6)
5.25 (2.3,11.8)
13.11
6.0,28.4)
24.84 (12.7,48.7)
33.32
19.5,57.1)
38.76 (24.4,61.6)
56.68 (33.4,96.1)
Income, finer detail











<$20,000
6.73 (5.2,8.7)
0.94
0.6,1.5)
3.08(2.0,4.8)
8.16
5.7,11.6)
16.53 (12.0,22.8)
25.40
19.9,32.5)
32.27 (24.7,42.2)
50.74 (36.2,71.1)
$20k-$45k
6.48 (4.6,9.2)
1.01
0.6,1.8)
3.21 (1.9,5.5)
7.91
5.0,12.6)
15.88 (11.1,22.8)
23.92
18.0,31.9)
30.40 (22.7,40.8)
47.18 (33.6,66.2)
$45k-$75k
6.65 (5.0,8.9)
0.99
0.6,1.8)
3.35 (2.1,5.2)
8.41
6.0,11.8)
16.66 (12.6,22.0)
23.49
17.3,31.9)
29.75 (21.9,40.5)
47.37 (31.9,70.3)
$75k+
8.11 (5.8,11.3)
1.33
0.7,2.5)
4.05 (2.0,8.0)
10.05
6.3,16.0)
20.45 (15.4,27.2)
30.03
23.2,38.9)
37.21 (28.1,49.3)
54.13 (38.7,75.8)
>$20,000
8.13 (4.3,15.4)
1.53
0.8,3.1)
4.83 (2.4,9.8)
10.78
5.5,21.2)
19.96 (9.9,40.2)
27.33
14.0,53.5)
34.82 (15.9,76.1)
48.59 (23.9,98.9)
Inc Ref/DK
8.99 (5.0,16.1)
1.45
0.8,2.6)
5.00 (2.6,9.6)
12.10
6.3,23.1)
23.22 (11.9,45.4)
30.98
17.3,55.4)
37.94 (20.3,70.9)
50.48 (28.4,89.6)
Inc missing
10.35 (3.5,30.4)
1.71
0.3,8.5)
5.55 (1.3,23.3)
14.41
3.9,53.8)
27.21 (8.8,84.1)
35.91
13.5,95.7)
42.86 (17.8,103.1)
61.28 (25.1,149.8)
Race/Ethnicity











Mexican American
7.56 (4.8,11.9)
1.11
0.7,1.9)
3.75 (2.4,5.8)
9.73
6.2,15.2)
19.76 (13.2,29.5)
28.13
18.2,43.5)
34.23 (20.5,57.0)
47.33 (23.4,95.7)
Other Hispanic
8.08(5.6,11.6)
0.95
0.6,1.6)
3.35 (1.9,5.9)
9.31
5.5,15.9)
20.18 (13.4,30.4)
32.99
20.5,53.1)
44.23 (22.8,85.9)
65.76 (31.2,138.7)
White
5.91 (4.1,8.5)
0.94
0.5,1.6)
3.08(1.8,5.3)
7.40
4.6,11.9)
14.73 (10.3,21.1)
21.61
16.1,29.1)
26.78 (19.6,36.6)
39.38 (27.9,55.5)
Black
8.93 (6.5,12.3)
1.82
1.1,3.2)
5.28(3.3,8.5)
11.59
7.7,17.4)
21.42 (15.5,29.5)
29.74
21.7,40.8)
36.28 (26.1,50.5)
53.05 (37.7,74.6)
Other race
15.96 (9.2,27.6)
2.68
1.5,4.7)
9.06 (5.2,15.9)
20.84 (11.9,36.6)
39.32 (21.8,70.8)
55.32
30.8,99.3)
69.15 (36.2,131.9)
95.55 (54.1,168.8)
C-37

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Table C-19. Freshwater + estuarine fish usual fish consumption rate estimates, all ages (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
4.71 (2.9,7.6)
0.69 (0.4,1.3)
2.29 (1.2,4.4)
5.59 (2.9,10.7)
11.25 (6.2,20.3)
16.64 (9.6,28.8)
21.38 (12.9,35.5)
35.12 (23.0,53.6)
Northeast
8.36 (6.8,10.3)
1.22 (0.7,2.2)
4.45 (2.8,7.0)
11.31 (8.9,14.4)
21.43 (17.2,26.8)
30.00 (23.2,38.8)
35.85 (27.4,46.9)
50.06 (36.5,68.6)
South
8.64 (6.4,11.6)
1.52 (1.0,2.4)
4.62 (3.1,7.0)
11.02 (7.9,15.4)
21.42 (16.0,28.7)
30.35 (22.6,40.8)
37.36 (27.1,51.5)
57.49 (40.1,82.4)
West
6.99 (4.8,10.2)
1.12 (0.6,2.1)
3.46 (1.8,6.5)
8.44 (5.1,13.8)
16.93 (11.5,24.9)
25.93 (18.1,37.2)
33.38 (22.3,50.0)
51.61 (32.0,83.1)
Coastal Status








Noncoastal
6.11 (4.6,8.2)
0.92 (0.5,1.6)
3.02 (1.9,4.9)
7.61 (5.2,11.1)
15.16 (11.1,20.7)
22.57 (17.2,29.6)
28.42 (21.2,38.1)
42.18 (29.6,60.2)
Coastal
8.93 (6.5,12.2)
1.50 (0.8,2.7)
4.62 (2.6,8.2)
11.13 (7.3,16.9)
22.35 (16.9,29.5)
31.93 (24.3,41.9)
39.79 (30.0,52.8)
61.23 (43.8,85.6)
Coastal/Inland Region








Pacific
7.82 (5.1,12.0)
1.27 (0.6,2.5)
3.96 (2.0,7.8)
9.56 (5.6,16.3)
19.45 (12.9,29.4)
28.92 (19.3,43.4)
36.63 (23.7,56.5)
54.12 (33.0,88.9)
Atlantic
8.42 (5.0,14.3)
1.76 (0.7,4.2)
5.00 (2.2,11.3)
11.05 (5.8,21.1)
20.47 (12.9,32.4)
28.39 (19.3,41.8)
34.63 (24.1,49.7)
48.56 (33.9,69.6)
Gulf of Mexico
15.04 (9.1,24.9)
2.83 (0.8,9.5)
9.02 (3.8,21.3)
19.90 (11.1,35.6)
35.56 (22.5,56.2)
50.97 (35.4,73.3)
61.12 (43.2,86.4)
87.47 (61.6,124.3)
Great Lakes
6.69 (4.6,9.7)
0.83 (0.4,1.8)
2.88(1.4,5.8)
7.21 (4.1,12.8)
15.38 (10.0,23.6)
24.49 (16.2,37.1)
33.53 (19.5,57.8)
71.89 (17.3,298.9)
Inland Northeast
7.98(5.7,11.2)
0.91 (0.4,2.3)
3.67 (1.9,7.1)
10.77 (7.4,15.7)
21.37 (13.6,33.6)
30.22 (18.5,49.3)
35.93 (22.7,56.8)
49.40 (32.3,75.6)
Inland Midwest
4.16 (2.4,7.1)
0.66 (0.4,1.2)
2.15 (1.2,3.9)
5.19 (2.8,9.5)
10.34 (5.9,18.2)
14.71 (8.0,26.9)
18.76 (10.6,33.3)
27.62 (15.0,50.9)
Inland South
7.17 (5.5,9.4)
1.24(0.8,1.9)
3.95 (2.9,5.5)
9.49 (7.1,12.6)
17.84 (13.4,23.8)
25.06 (18.4,34.1)
30.46 (22.1,42.0)
43.51 (29.7,63.8)
Inland West
6.16 (3.7,10.3)
1.02 (0.5,2.2)
3.07 (1.5,6.4)
7.32 (3.8,14.1)
14.23 (7.7,26.4)
22.36 (13.6,36.9)
29.73 (17.4,50.8)
48.02 (24.1,95.7)
C-38

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Table C-20. Freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th

90th
95th
97th
99th
All Adults
8.75 (6.8,11.3)
1.93 (1.1,3.3)
4.93 (3.0,8.0)
10.99 (8.0,15.1)
20.90
(16.6,26.3)
29.74
(23.5,37.6)
36.80 (28.3,47.8)
57.09 (40.1,81.2)
Gender










Female
7.32 (5.5,9.7)
1.63 (1.0,2.8)
4.16 (2.5,6.8)
9.15 (6.3,13.2)
17.20
(13.0,22.7)
24.63
(18.8,32.3)
31.06 (23.4,41.3)
46.02 (32.6,65.0)
Male
A fTQ
10.58 (8.2,13.7)
2.50 (1.5,4.3)
6.13 (3.8,10.0)
13.56 (10.1,18.2)
25.09
(19.9,31.6)
35.13
(27.2,45.3)
43.32 (32.9,57.1)
64.41 (45.9,90.4)
Age
21 to <35 yrs
8.52 (6.6,11.0)
1.62 (1.0,2.6)
4.48(3.2,6.2)
10.30 (8.1,13.2)
20.52
(15.6,26.9)
29.91
(22.3,40.2)
37.39 (27.7,50.5)
63.76 (36.5,111.4)
35 to <50 yrs
8.73 (6.2,12.3)
1.92 (1.1,3.4)
4.82 (2.8,8.3)
10.88 (7.1,16.6)
20.91
(14.9,29.4)
29.98
(21.4,42.0)
38.00 (26.9,53.8)
56.84 (38.1,84.8)
50 to <65 yrs
9.98(7.3,13.7)
2.73 (1.4,5.4)
6.32 (3.7,10.7)
12.85 (8.9,18.4)
23.11
(17.6,30.4)
31.87
(24.1,42.2)
38.28 (28.1,52.1)
57.09 (38.3,85.1)
65+ yrs
7.40 (4.5,12.2)
1.66 (0.6,4.8)
4.27 (1.9,9.7)
9.42 (5.3,16.6)
17.70
(11.8,26.5)
25.00
(17.7,35.4)
31.28 (23.1,42.4)
45.01 (32.0,63.3)
WCA (13-49 years)
6.48(5.0,8.4)
1.09 (0.7,1.7)
3.26 (2.1,5.0)
7.86 (5.5,11.2)
15.79
(11.9,21.0)
23.70
(18.1,31.0)
29.90 (22.2,40.2)
46.38 (32.4,66.4)
Income










<$20,000
8.07 (6.1,10.6)
1.44(0.8,2.6)
4.34(2.8,6.7)
10.11 (7.2,14.2)
19.24
(14.2,26.1)
28.33
(21.7,36.9)
34.81 (25.7,47.1)
58.09 (37.4,90.2)
>$20,000
8.79 (6.7,11.6)
2.00 (1.1,3.6)
4.96 (2.9,8.5)
11.00 (7.8,15.6)
20.89
(16.3,26.7)
29.74
(23.2,38.0)
36.87 (28.2,48.3)
56.78 (40.0,80.6)
Income unknown
11.14 (6.4,19.5)
2.79 (1.0,7.9)
6.87 (3.6,13.3)
15.02 (7.9,28.6)
26.41
(15.3,45.6)
35.91
(20.8,61.9)
44.10 (25.0,77.8)
61.28 (33.2,113.1)
Income, finer detail










<$20,000
8.07 (6.1,10.6)
1.44(0.8,2.6)
4.34(2.8,6.7)
10.11 (7.2,14.2)
19.24
(14.2,26.1)
28.33
(21.7,36.9)
34.81 (25.7,47.1)
58.09 (37.4,90.2)
$20k-$45k
7.81 (5.5,11.1)
1.69 (0.9,3.1)
4.34(2.4,7.8)
9.73 (6.4,14.7)
18.13
(12.6,26.0)
26.82
(20.1,35.8)
33.30 (24.3,45.6)
54.19 (36.8,79.7)
$45k-$75k
8.10 (6.2,10.6)
1.82 (1.1,3.1)
4.71 (3.2,7.0)
10.36 (7.7,14.0)
19.28
(14.8,25.1)
26.33
(19.4,35.8)
33.11 (24.2,45.4)
53.44 (33.7,84.8)
$75k+
10.02 (7.2,13.9)
2.42 (1.1,5.2)
5.66 (2.8,11.3)
12.61 (8.4,19.0)
23.62
(17.8,31.4)
34.06
(26.2,44.3)
41.31 (30.9,55.3)
62.84 (42.0,94.1)
>$20,000
9.43 (5.2,17.0)
2.26 (1.1,4.5)
5.89 (3.3,10.7)
12.27 (6.9,21.9)
22.36
(11.2,44.8)
29.72
(15.6,56.7)
37.96 (17.3,83.3)
51.37 (25.4,103.9)
Inc Ref/DK
10.49 (5.8,19.0)
2.42 (1.2,4.8)
6.60 (3.5,12.5)
14.54 (7.1,29.8)
26.10
(12.7,53.5)
33.66
(18.0,63.1)
39.71 (21.8,72.3)
50.89 (28.5,90.9)
Inc missing
12.60 (4.4,35.9)
3.55 (0.5,26.8)
7.54(2.3,25.0)
16.14 (5.5,47.5)
29.99
(10.4,86.7)
38.76
(15.0,99.9)
56.84 (16.5,195.4)
66.74 (26.6,167.2)
Race/Ethnicity










Mexican American
10.21 (6.4,16.3)
2.39 (1.4,4.0)
6.47 (4.1,10.1)
13.40 (8.3,21.6)
24.78
(16.5,37.3)
32.70
(19.4,55.2)
38.63 (20.9,71.4)
53.80 (26.5,109.3)
Other Hispanic
11.11 (7.6,16.3)
2.34(1.4,3.9)
5.93 (3.5,10.0)
12.85 (8.0,20.7)
27.60
(17.7,43.1)
41.19
(22.0,77.3)
53.33 (24.3,117.0)
76.96 (32.7,181.1)
White
7.11 (4.9,10.3)
1.67 (0.9,3.1)
4.17 (2.4,7.3)
9.04(5.8,14.0)
16.99
(12.3,23.4)
23.76
(17.2,32.7)
29.73 (22.0,40.1)
42.53 (30.0,60.2)
Black
10.78 (8.1,14.4)
2.88(1.6,5.1)
7.04 (4.6,10.9)
14.10 (10.0,19.9)
24.54
(18.3,33.0)
33.01
(23.9,45.7)
40.13 (29.1,55.3)
60.52 (40.2,91.1)
Other race
19.87 (11.8,33.5)
5.20 (3.0,9.0)
13.23 (7.1,24.8)
25.91 (14.8,45.5)
46.42
(25.8,83.6)
64.67 (34.0,123.0)
78.09 (41.9,145.6)
103.85 (59.7,180.8)
C-39

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Table C-20. Freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years (continued)





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
5.50 (3.3,9.3)
1.22 (0.6,2.6)
3.09 (1.5,6.4)
6.57 (3.2,13.3)
12.43 (6.8,22.8)
17.80 (9.9,31.9)
22.74
(13.6,38.0)
39.41 (26.4,58.7)
Northeast
10.35 (8.2,13.0)
2.48(1.4,4.3)
6.49 (4.4,9.5)
14.03 (11.0,17.9)
24.64 (19.1,31.7)
32.84 (25.3,42.6)
38.84
(29.6,51.0)
52.54 (37.1,74.4)
South
10.51 (7.9,14.0)
2.57 (1.6,4.1)
6.36 (4.3,9.4)
13.61 (10.0,18.5)
24.35 (18.1,32.7)
34.28 (25.2,46.5)
42.02
(30.4,58.1)
61.89 (43.6,87.9)
West
8.59 (6.0,12.2)
2.01 (1.1,3.8)
4.84(2.7,8.7)
10.39 (6.6,16.4)
20.12 (14.3,28.3)
29.63 (20.3,43.2)
36.98
(24.7,55.4)
60.44 (33.1,110.2)
Coastal Status









Noncoastal
7.47 (5.5,10.1)
1.63 (0.9,2.8)
4.24(2.6,7.0)
9.53 (6.8,13.4)
17.83 (13.4,23.8)
25.64 (19.3,34.1)
31.68
(23.1,43.5)
47.34 (32.0,70.0)
Coastal
10.77 (7.9,14.6)
2.59 (1.4,4.9)
6.23 (3.6,10.9)
13.67 (9.5,19.6)
25.09 (18.8,33.5)
35.64 (27.0,47.1)
44.97
(33.5,60.3)
67.62 (46.7,97.9)
Coastal/Inland Region









Pacific
9.20 (5.8,14.6)
2.18(1.0,4.8)
5.19 (2.5,10.7)
11.30 (6.6,19.2)
21.73 (14.1,33.5)
31.66 (20.5,49.0)
39.32
(25.0,61.9)
61.40 (34.9,107.9)
Atlantic
10.17 (6.2,16.8)
2.95 (1.2,7.2)
6.66 (3.1,14.3)
13.50 (7.8,23.4)
23.50 (15.7,35.1)
31.21 (21.1,46.1)
37.43
(25.9,54.1)
51.57 (35.0,76.0)
Gulf of Mexico
18.89 (12.5,28.6)
5.47 (2.3,12.9)
13.29 (7.3,24.4)
24.59 (15.2,39.7)
42.50 (29.3,61.7)
59.13 (42.1,83.1)
67.01
(47.1,95.3)
95.98 (65.5,140.6)
Great Lakes
8.10 (5.4,12.1)
1.59 (0.7,3.5)
4.07 (2.2,7.5)
8.65 (5.3,14.2)
17.69 (11.9,26.2)
27.18 (16.4,45.1)
38.56
(17.7,83.9)
79.58 (15.8,400.6)
Inland Northeast
10.07 (6.6,15.3)
1.98(0.9,4.2)
6.05 (3.7,9.9)
13.62 (8.7,21.4)
25.06 (14.7,42.8)
33.53 (19.9,56.6)
38.93
(24.1,62.8)
54.57 (33.4,89.2)
Inland Midwest
4.81 (2.5,9.3)
1.14(0.5,2.4)
2.88(1.4,5.9)
6.09 (3.0,12.5)
11.15 (5.5,22.8)
15.55 (7.5,32.4)
19.63
(10.0,38.5)
27.89 (13.4,58.2)
Inland South
8.67 (6.6,11.5)
2.12 (1.4,3.2)
5.42 (3.9,7.5)
11.44 (8.6,15.2)
20.33 (15.1,27.3)
27.77 (20.3,38.0)
33.55
(23.9,47.1)
49.59 (32.7,75.3)
Inland West
7.94(5.2,12.2)
1.85 (0.9,3.8)
4.49 (2.4,8.4)
9.41 (5.4,16.4)
17.99 (11.3,28.7)
27.97 (16.8,46.5)
34.96
(19.8,61.7)
57.44 (24.9,132.6)
C-40

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Table C-21. Freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
3.35 (2.5,4.6)
0.36 (0.2,0.6)
1.17 (0.7,1.9)
3.55 (2.4,5.3)
8.66 (6.4,11.7)
13.86 (10.4,18.5)
18.71 (14.1,24.9)
31.45 (23.0,43.0)
VJcMUcl
Female
2.87 (2.0,4.1)
0.29
0.2,0.5)
0.97
0.6,1.6)
2.95 (1.8,4.7)
7.32 (5.1,10.5)
11.87 (8.5,16.6)
15.84 (11.0,22.7)
28.63 (19.5,42.0)
Male
A fTQ
3.85 (2.9,5.1)
0.45
0.3,0.7)
1.43
0.9,2.2)
4.26 (3.0,6.0)
9.86 (7.2,13.4)
15.69 (11.9,20.7)
21.03 (15.8,27.9)
33.58 (24.7,45.7)
Mge
1 to <3 yrs
2.17 (1.2,4.0)
0.21
0.1,0.4)
0.66
0.4,1.2)
2.08(1.3,3.4)
5.07 (3.1,8.3)
8.78(4.7,16.3)
13.40 (5.4,33.3)
25.24 (7.4,86.0)
3 to <6 yrs
2.37 (1.6,3.6)
0.25
0.1,0.5)
0.86
0.5,1.5)
2.58(1.6,4.3)
6.04(3.9,9.4)
9.65 (6.4,14.6)
12.80 (8.3,19.7)
21.50 (12.3,37.6)
6 to <11 yrs
3.08(2.1,4.5)
0.36
0.2,0.6)
1.14
0.7,1.9)
3.35 (2.2,5.1)
7.80 (5.2,11.8)
12.90 (8.4,19.8)
16.34 (10.3,26.0)
28.29 (17.1,46.7)
11 to <16 yrs
3.55 (2.2,5.8)
0.44
0.2,1.0)
1.33
0.6,2.9)
4.09 (2.4,7.1)
8.96 (5.3,15.1)
13.63 (7.8,23.8)
18.66 (12.0,29.0)
32.51 (22.1,47.9)
16 to <18 yrs
3.36 (1.6,7.0)
0.30
0.0,1.9)
1.04
0.2,4.9)
3.19 (0.9,10.9)
8.18(3.5,19.3)
14.00 (7.5,26.1)
19.21 (11.3,32.8)
37.96 (20.6,70.0)
18 to <21 yrs
1 nrnmo
5.37 (3.7,7.8)
0.72
0.4,1.4)
2.32
1.4,3.9)
6.48(4.2,10.1)
14.16 (9.6,21.0)
20.81 (13.9,31.2)
27.64 (18.4,41.4)
40.11 (24.7,65.1)
1 IllUIIlC
<$20,000
3.96 (3.1,5.1)
0.46
0.3,0.7)
1.40
0.9,2.1)
4.23 (3.0,5.9)
10.06 (7.5,13.4)
16.47 (12.2,22.3)
22.71 (15.2,33.9)
37.26 (23.9,58.0)
>$20,000
3.11 (2.1,4.5)
0.33
0.2,0.6)
1.10
0.6,1.9)
3.34(2.1,5.2)
8.02 (5.6,11.6)
12.87 (9.2,18.1)
17.14 (12.2,24.1)
30.04 (21.5,41.9)
Income unknown
5.61 (2.5,12.4)
0.54
0.3,1.1)
1.79
0.9,3.7)
6.98(2.0,24.8)
15.84 (5.5,46.0)
24.20 (9.9,59.2)
29.96 (13.9,64.4)
41.20 (19.6,86.5)
Income, finer detail










<$20,000
3.96 (3.1,5.1)
0.46
0.3,0.7)
1.40
0.9,2.1)
4.23 (3.0,5.9)
10.06 (7.5,13.4)
16.47 (12.2,22.3)
22.71 (15.2,33.9)
37.26 (23.9,58.0)
$20k-$45k
3.16 (2.2,4.6)
0.34
0.2,0.7)
1.14
0.7,1.9)
3.39 (2.2,5.2)
8.01 (5.3,12.1)
12.96 (8.8,19.1)
17.74 (12.5,25.1)
30.85 (20.5,46.5)
$45k-$75k
2.59 (1.6,4.3)
0.28
0.2,0.5)
0.92
0.5,1.7)
2.71 (1.4,5.2)
6.69 (3.8,11.7)
10.72 (6.5,17.6)
13.82 (7.7,24.7)
24.20 (15.6,37.5)
$75k+
3.35 (2.3,4.9)
0.36
0.2,0.7)
1.18
0.7,2.1)
3.57 (2.2,5.8)
8.61 (5.9,12.6)
14.33 (10.3,19.9)
18.32 (12.5,26.9)
31.95 (21.2,48.2)
>$20,000
3.93 (2.1,7.2)
0.50
0.2,1.3)
1.94
0.8,4.6)
5.21 (2.2,12.2)
9.55 (5.1,17.8)
12.47 (6.8,23.0)
19.54 (9.2,41.4)
27.63 (13.3,57.4)
Inc Ref/DK
4.91 (2.4,10.0)
0.50
0.2,1.2)
1.70
0.8,3.6)
5.82 (2.2,15.4)
13.14 (5.5,31.7)
20.13 (9.0,44.9)
27.76 (11.2,68.7)
43.48 (17.8,106.0)
Inc missing
6.57 (1.5,29.4)
0.61
0.2,2.4)
1.91
0.5,7.0)
8.86 (1.0,78.6)
20.35 (2.7,151.1)
28.83 (5.8,143.4)
33.89 (8.7,132.0)
40.86 (11.0,152.4)
Race/Ethnicity










Mexican American
3.50 (2.2,5.5)
0.50
0.3,0.9)
1.39
0.8,2.5)
3.94(2.5,6.3)
8.53 (5.3,13.8)
13.63 (8.8,21.2)
18.33 (11.7,28.7)
28.61 (15.6,52.5)
Other Hispanic
2.59 (0.8,8.2)
0.31
0.1,0.8)
0.90
0.3,2.7)
2.61 (0.8,8.8)
6.59 (2.0,22.1)
10.46 (2.9,37.5)
15.29 (5.0,46.9)
23.74 (6.4,87.5)
White
2.40 (1.6,3.5)
0.26
0.1,0.5)
0.82
0.5,1.5)
2.50 (1.5,4.1)
5.97 (3.9,9.0)
9.98(6.9,14.5)
13.50 (9.1,19.9)
23.23 (14.6,37.0)
Black
5.22 (3.0,9.1)
0.89
0.5,1.7)
2.59
1.4,4.7)
6.46 (3.5,11.9)
12.80 (6.9,23.7)
19.42 (11.6,32.6)
24.74 (15.3,40.1)
35.77 (20.0,64.0)
Other race
7.59 (3.9,14.8)
0.86
0.4,1.7)
3.08
1.7,5.6)
9.14(4.8,17.3)
20.34 (9.4,44.2)
31.95 (12.0,84.9)
39.53 (15.7,99.7)
53.26 (26.4,107.6)
C-41

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Table C-21. Freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.73 (1.6,4.7)
0.24(0.1,0.5)
0.74(0.3,1.6)
2.47 (1.4,4.4)
7.10 (4.2,12.1)
12.54 (7.2,21.8)
17.46 (10.1,30.1)
30.30 (17.6,52.2)
Northeast
3.18 (2.0,5.0)
0.29 (0.1,1.0)
1.04(0.4,2.7)
3.35 (1.7,6.6)
7.98(4.7,13.5)
13.27 (9.2,19.1)
17.78 (12.8,24.7)
32.28 (20.0,52.2)
South
3.89 (2.6,5.9)
0.54(0.3,0.9)
1.66 (1.0,2.7)
4.50 (2.9,7.1)
9.89 (6.4,15.2)
14.86 (9.5,23.3)
19.79 (12.6,31.0)
31.18 (19.0,51.1)
West
3.34(2.1,5.2)
0.36 (0.2,0.7)
1.19 (0.7,2.1)
3.47 (2.1,5.7)
8.24(5.2,13.2)
13.61 (8.6,21.6)
18.83 (11.1,31.9)
33.41 (17.1,65.2)
Coastal Status








Noncoastal
2.77 (2.0,3.8)
0.31 (0.2,0.6)
0.99 (0.6,1.7)
2.95 (1.9,4.5)
6.97 (4.9,9.9)
11.33 (8.4,15.3)
15.09 (11.1,20.6)
26.20 (18.2,37.8)
Coastal
4.29 (2.8,6.5)
0.48(0.3,0.8)
1.56 (0.9,2.7)
4.73 (2.8,8.0)
11.04 (6.9,17.6)
17.36 (11.3,26.6)
24.20 (17.2,34.1)
38.41 (25.9,56.9)
Coastal/Inland Region








Pacific
4.26 (2.6,7.0)
0.39 (0.2,0.8)
1.31 (0.7,2.4)
4.37 (2.7,7.1)
11.26 (6.6,19.1)
18.77 (10.0,35.3)
26.19 (12.2,56.4)
42.40 (17.3,104.1)
Atlantic
3.68(1.8,7.4)
0.53 (0.2,1.3)
1.62 (0.6,4.1)
4.40 (1.9,10.1)
9.37 (4.7,18.6)
13.63 (6.8,27.3)
17.78 (9.6,32.8)
28.13 (16.8,47.2)
Gulf of Mexico
6.54(1.9,22.0)
1.08(0.2,4.9)
3.24(0.7,14.8)
8.10 (2.0,32.4)
15.96 (4.7,53.8)
26.29 (7.9,87.6)
31.16 (10.7,90.6)
41.94 (16.1,109.2)
Great Lakes
3.56 (1.5,8.4)
0.26 (0.1,0.8)
0.88(0.3,3.0)
3.02 (0.8,11.1)
9.52 (3.6,25.1)
17.36 (8.6,35.2)
23.27 (12.1,44.7)
37.67 (19.0,74.7)
Inland Northeast
2.43 (1.0,6.1)
0.20 (0.0,1.3)
0.70 (0.1,3.9)
2.19 (0.5,10.4)
5.95 (2.1,17.2)
10.63 (5.3,21.5)
15.09 (8.6,26.5)
32.28 (16.8,62.0)
Inland Midwest
2.45 (1.5,4.1)
0.24(0.1,0.5)
0.69 (0.4,1.3)
2.26 (1.4,3.6)
6.28(3.6,11.0)
10.99 (5.4,22.2)
14.83 (7.2,30.5)
26.28 (11.8,58.4)
Inland South
3.36 (2.3,4.8)
0.45 (0.3,0.8)
1.40 (0.9,2.2)
3.85 (2.6,5.7)
8.50 (5.9,12.2)
12.83 (8.8,18.7)
16.93 (11.5,25.0)
26.88 (16.9,42.7)
Inland West
2.57 (1.3,5.3)
0.35 (0.1,0.8)
1.11 (0.5,2.3)
2.91 (1.4,6.1)
6.27 (2.9,13.4)
9.44(4.2,21.1)
13.04 (6.4,26.7)
21.36 (9.4,48.5)
C-42

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Table C-22. Marine + freshwater fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th

90th
95th
97th
99th
Total
fiPnHor
12.31 (9.8,15.5)
3.00 (1.6,5.5)
8.72 (5.9,12.9)
17.43 (13.5,22.5)
28.41 (23.0,35.1)
36.79 (29.5,45.9)
42.90 (33.9,54.3)
55.96 (42.4,73.9)
VJCllUCl
Female
11.13 (8.6,14.4)
2.70 (1.5,5.0)
7.98(5.3,12.1)
16.06 (11.9,21.7)
25.93 (20.6,32.7)
33.16 (26.3,41.9)
38.08
29.7,48.8)
49.06 (36.8,65.3)
Male
A np
13.73 (11.0,17.2)
3.44(1.9,6.4)
9.73 (6.7,14.1)
19.32 (15.2,24.6)
31.57 (25.5,39.1)
40.96 (32.7,51.4)
47.95
37.9,60.6)
63.67 (49.5,81.8)
age
1 to <3 yrs
3.88(2.3,6.4)
0.62 (0.3,1.3)
1.89 (1.0,3.8)
4.62 (2.8,7.7)
9.70 (5.9,16.1)
15.16 (8.3,27.6)
19.56
10.2,37.4)
27.65 (16.2,47.1)
3 to <6 yrs
5.23 (2.8,9.9)
0.99 (0.3,3.0)
3.28(1.1,9.5)
7.21 (3.2,16.1)
12.48 (7.2,21.6)
16.70 (11.1,25.1)
20.52
13.5,31.1)
28.27 (19.1,41.7)
6 to <11 yrs
6.78(3.6,12.8)
1.20 (0.5,2.8)
3.74(1.8,7.9)
9.21 (4.7,18.0)
17.13 (8.9,32.9)
24.30 (12.0,49.0)
28.32
15.0,53.4)
36.79 (19.9,67.9)
11 to <16 yrs
5.88 (4.0,8.6)
1.11 (0.6,2.0)
3.25 (1.9,5.6)
7.94(5.2,12.0)
14.92
(10.0,22.3)
19.74 (12.8,30.5)
24.03
15.3,37.7)
33.67 (19.9,56.9)
16 to <18 yrs
7.66 (4.8,12.1)
1.20 (0.7,2.1)
4.04(2.2,7.5)
10.54 (6.3,17.8)
20.27
(12.0,34.3)
26.45 (17.2,40.7)
32.38
20.8,50.4)
42.68 (27.9,65.2)
18 to <21 yrs
10.91 (6.5,18.5)
1.75 (1.0,3.2)
5.44(3.2,9.3)
13.47 (8.5,21.3)
27.91
(16.1,48.5)
38.66 (22.6,66.0)
49.01
27.3,88.1)
81.88 (29.7,225.5)
21 to <35 yrs
12.06 (8.3,17.6)
3.50 (1.4,8.6)
8.72 (4.7,16.2)
16.54 (10.9,25.1)
26.97
(20.0,36.4)
34.87 (27.1,44.9)
40.82
32.1,51.9)
56.48 (42.7,74.7)
35 to <50 yrs
13.54 (10.8,17.0)
5.31 (3.5,8.1)
10.89 (8.4,14.1)
18.78 (15.0,23.4)
28.24
(20.8,38.4)
35.60 (25.1,50.4)
40.74
27.6,60.1)
50.39 (29.4,86.3)
50 to <65 yrs
19.61 (13.6,28.3)
8.58(4.4,16.6)
16.40 (10.2,26.5)
26.99 (18.8,38.7)
39.58
(29.1,53.8)
49.51 (36.1,67.9)
55.11
41.5,73.2)
68.16 (49.8,93.2)
65+ yrs
1 nrn m o
13.85 (9.9,19.5)
5.18(3.6,7.5)
11.03 (8.1,15.1)
19.26 (13.8,26.9)
29.18
(19.6,43.4)
36.53 (23.4,56.9)
42.99
28.6,64.6)
53.30 (31.6,90.0)
1 IllUIIlc
<$20,000
10.10 (8.0,12.7)
2.04(1.2,3.4)
6.50 (4.6,9.2)
14.03 (10.9,18.0)
23.87
(18.9,30.1)
31.92 (25.0,40.7)
37.93
29.6,48.6)
51.53 (39.0,68.1)
>$20,000
12.69 (10.1,16.0)
3.27 (1.8,6.0)
9.13 (6.2,13.4)
17.95 (14.0,23.0)
29.13
(23.5,36.1)
37.37 (29.8,46.9)
43.44
34.0,55.6)
56.54 (42.3,75.5)
Income unknown
13.55 (7.2,25.6)
3.29 (0.9,11.5)
9.92 (3.4,28.6)
20.15 (9.0,45.1)
30.05
(19.7,45.9)
39.58 (26.4,59.3)
45.85
32.3,65.1)
60.47 (41.2,88.8)
Income, finer detail










<$20,000
10.10 (8.0,12.7)
2.04(1.2,3.4)
6.50 (4.6,9.2)
14.03 (10.9,18.0)
23.87
(18.9,30.1)
31.92 (25.0,40.7)
37.93
29.6,48.6)
51.53 (39.0,68.1)
$20k-$45k
11.21 (8.8,14.4)
2.64(1.5,4.7)
7.84(5.1,12.0)
15.69 (12.0,20.6)
25.62
(20.6,31.9)
33.52 (26.7,42.1)
39.41
30.8,50.4)
53.91 (40.6,71.5)
$45k-$75k
12.22 (9.3,16.1)
3.00 (1.8,5.1)
8.57 (5.9,12.4)
17.10 (12.7,23.0)
28.23
(21.1,37.7)
37.30 (28.3,49.2)
44.42
33.6,58.7)
57.58 (42.4,78.2)
$75k+
14.24 (11.3,18.0)
4.13 (2.1,8.2)
10.79 (7.3,15.9)
20.49 (15.9,26.5)
31.89
(25.7,39.6)
39.78 (31.1,50.9)
45.93
35.4,59.6)
58.01 (41.8,80.6)
>$20,000
12.62 (7.1,22.6)
3.82 (1.4,10.3)
9.55 (4.4,20.8)
17.51 (9.8,31.3)
28.63
(16.3,50.4)
36.54 (21.7,61.6)
41.54
25.2,68.6)
56.11 (32.9,95.7)
Inc Ref/DK
13.49 (7.5,24.2)
3.39 (1.1,10.1)
10.34 (3.8,28.5)
20.41 (9.7,43.0)
28.69
(20.0,41.0)
36.28 (26.0,50.6)
43.41
30.5,61.9)
58.01 (37.7,89.3)
Inc missing
13.65 (5.1,36.9)
2.95 (0.5,15.9)
9.43 (2.2,40.5)
19.31 (6.0,61.9)
32.75
(12.4,86.8)
43.91 (18.4,104.8)
50.61 (23.7,108.1)
61.26 (32.6,115.2)
Race/Ethnicity










Mexican American
9.94 (7.0,14.0)
1.95 (1.1,3.5)
6.41 (3.8,10.8)
14.07 (9.5,20.9)
23.81
(17.4,32.5)
31.63 (23.5,42.6)
37.66
28.3,50.0)
48.50 (35.9,65.5)
Other Hispanic
10.12 (7.5,13.6)
1.93 (1.2,3.2)
6.79 (4.4,10.4)
14.52 (10.5,20.1)
24.91
(18.3,33.8)
31.95 (23.8,42.8)
36.53
26.5,50.4)
46.27 (28.5,75.2)
White
12.01 (9.6,15.1)
3.07 (1.6,5.9)
8.61 (6.0,12.3)
16.93 (13.4,21.4)
27.54
(21.8,34.8)
35.67 (27.7,46.0)
41.52
31.5,54.7)
54.62 (40.5,73.7)
Black
12.79 (10.0,16.4)
3.40 (2.1,5.5)
9.43 (6.2,14.3)
18.24 (13.7,24.2)
29.37
(23.5,36.7)
36.87 (29.8,45.6)
42.45
33.6,53.7)
53.48 (39.2,72.9)
Other race
19.88 (13.9,28.5)
6.30 (2.4,16.8)
16.38 (7.9,33.8)
27.71 (19.7,39.0)
42.01
(33.1,53.4)
52.80 (41.1,67.8)
64.73
48.2,87.0)
84.67 (61.6,116.3)
C-43

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Table C-22. Marine + freshwater fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25
th
50
ith
75
th
90'
ith
95
th
97'
'th
99
th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
9.67 (7.2,13.0)
14.74 (11.2,19.3)
12.42 (9.5,16.2)
13.31 (10.1,17.5)
11.94 (8.5,16.8)
12.90 (10.2,16.3)
12.88 (10
13.36 (8
14.68 (8
9.86 (6
15.21 (9
9.60 (6
11.67 (7
13.74 (8
1.16.5)
.8,20.3)
.6,25.1)
4,15.1)
4.24.6)
.5,14.2)
.9,17.2)
2,23.1)
2.20 (1.1,4.3)
3.46 (2.1,5.8)
3.10 (1.7,5.8)
3.66 (1.9,7.2)
2.84(1.4,5.7)
3.27 (2.1,5.1)
3.16 (2.0,5.0)
3.88(2.5,6.0)
3.54(1.1,11.1)
2.01 (1.3,3.1)
2.84(1.7,4.6)
2.27 (1.0,5.3)
2.80 (1.3,6.0)
4.26 (1.4,12.9)
6.74 (4.2,10.7)
10.45 (7.6,14.4)
8.85 (5.6,13.9)
10.01 (6.7,15.0)
8.43 (5.1,14.1)
9.13 (7.0,11.9)
9.48(7.0,12.8)
9.84(6.4,15.1)
9.62 (3.9,23.9)
6.17 (4.0,9.4)
10.25 (6.3,16.7)
6.84(3.7,12.5)
8.53 (4.4,16.5)
10.54 (5.4,20.4)
13.68 (9.9,19.0)
21.59 (15.9,29.3)
17.24 (13.0,22.8)
19.35 (14.0,26.7)
16.82 (11.8,24.1)
18.42 (14.6,23.3)
18.91 (14.9,24.0)
19.03 (12.4,29.1)
20.02 (9.8,40.7)
13.86 (9.0,21.3)
22.42 (13.3,37.9)
13.62 (8.8,21.2)
16.56 (10.7,25.6)
19.63 (11.4,33.7)
22.50 (16.7,30.4)
34.38 (26.2,45.2)
28.50	(22.4,36.3)
29.79 (23.2,38.2)
27.60 (20.6,37.0)
29.76 (22.5,39.4)
29.59 (22.4,39.1)
30.05 (18.9,47.8)
34.27 (20.2,58.1)
23.51	(13.7,40.3)
37.17 (21.5,64.3)
22.14 (15.7,31.3)
26.81 (19.5,36.9)
29.93 (19.3,46.4)
29.58	(21.5,40.8)
43.84	(33.0,58.1)
36.62 (29.2,46.0)
37.85	(29.2,49.1)
35.75 (27.1,47.2)
38.14 (27.5,53.0)
37.61	(27.2,52.1)
38.22 (23.7,61.5)
49.57 (25.7,95.7)
32.59	(21.1,50.5)
46.62	(28.3,76.8)
28.86	(20.6,40.4)
34.16 (26.1,44.7)
38.13 (25.0,58.3)
34.81 (24.7,49.0)
50.52 (38.1,67.0)
43.02 (33.9,54.6)
43.81 (33.5,57.3)
41.76 (31.7,55.0)
44.25 (31.0,63.2)
42.64 (28.7,63.3)
44.00	(27.0,71.7)
57.37 (32.2,102.3)
37.14 (21.6,63.8)
54.01	(32.9,88.8)
33.62 (24.1,47.0)
39.42 (30.8,50.5)
45.51 (28.5,72.7)
46.35 (31.4,68.5)
65.18 (48.5,87.7)
58.21 (45.0,75.3)
53.91 (37.2,78.1)
54.93 (41.3,73.0)
58.18 (39.6,85.6)
52.78 (31.5,88.4)
56.42 (34.0,93.6)
79.84 (46.7,136.6)
48.14 (25.0,92.6)
68.99 (43.5,109.4)
45.72 (31.9,65.5)
50.40 (38.0,66.7)
57.35 (38.0,86.6)
C II

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Table C-23. Marine + freshwater fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)
Mean (95% CI)
25
th
50
ith
75
th
90'
ith
95
th
97
th
99
th
All Adults
Gender
Female
Male
Age
21 to <35 yrs
35 to <50 yrs
50 to <65 yrs
65+ yrs
WCA (13-49 years)
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
14.56(11.8,18.0) 5.24(3.0,9.0) 11.31(8.2,15.6) 20.23(16.2,25.3) 31.36(25.5,38.6) 39.52(31.4,49.7) 45.95(36.2,58.3) 58.27(42.9,79.2)
13.05 (10.3,16.6)
16.49 (13.4,20.3)
12.06 (8.3,17.6)
13.54 (10.8,17.0)
19.61 (13.6,28.3)
13.85 (9.9,19.5)
10.65 (8.3,13.6)
12.13 (9.6,15.4)
14.96 (12.1,18.5)
15.77 (8.6,28.8)
12.13	(9.6,15.4)
13.07 (10.5,16.3)
14.31 (10.9,18.7)
17.01 (13.7,21.1)
14.56 (8.4,25.2)
15.64 (8.9,27.4)
16.05 (6.0,42.9)
13.09 (8.9,19.2)
13.14	(9.5,18.1)
13.80 (11.1,17.1)
15.85 (11.9,21.0)
4.68(2.5,8.6)
6.12 (3.8,9.9)
3.50 (1.4,8.6)
5.31 (3.5,8.1)
8.58(4.4,16.6)
5.18(3.6,7.5)
2.79 (1.5,5.1)
3.29 (1.9,5.7)
5.62 (3.4,9.4)
5.73 (1.3,25.7)
3.29 (1.9,5.7)
4.53 (2.5,8.0)
5.01 (3.2,7.8)
7.23 (4.4,11.8)
6.08(2.2,16.7)
6.00 (1.4,24.9)
5.30 (0.8,37.4)
4.18(1.8,9.5)
4.71 (2.1,10.6)
5.05 (3.1,8.3)
6.22 (3.0,12.7)
10.24(7.1,14.7) 18.22(14.2,23.3)
12.93 (9.6,17.5) 22.85 (18.3,28.5)
8.72 (4.7,16.2)
10.89 (8.4,14.1)
16.40 (10.2,26.5)
11.03 (8.1,15.1)
7.88(5.1,12.3)
8.71 (6.3,12.0)
11.77	(8.6,16.1)
12.53 (5.0,31.3)
8.71 (6.3,12.0)
10.12 (7.1,14.5)
10.78	(7.8,14.8)
14.11 (10.2,19.6)
12.06 (5.7,25.3)
12.88 (5.5,30.1)
11.49 (3.4,38.5)
10.21 (5.8,17.9)
10.17 (6.4,16.1)
10.73 (8.1,14.1)
12.97 (8.0,21.0)
16.54 (10.9,25.1)
18.78 (15.0,23.4)
26.99 (18.8,38.7)
19.26 (13.8,26.9)
15.25 (11.3,20.5)
16.78 (13.0,21.6)
20.75 (16.6,25.9)
22.56 (11.4,44.8)
16.78 (13.0,21.6)
17.80 (14.3,22.2)
19.85 (14.9,26.4)
23.56 (19.0,29.3)
19.56 (11.8,32.5)
22.59 (12.0,42.6)
21.93 (7.7,62.5)
18.19	(12.3,27.0)
18.49 (13.1,26.1)
19.13 (15.4,23.8)
22.20	(16.5,29.8)
23.82(17.4,32.6) 10.55(5.4,20.7) 20.45(12.2,34.3) 31.94(23.5,43.5)
28.11	(22.5,35.2)
35.24 (28.3,43.8)
26.97 (20.0,36.4)
28.24 (20.8,38.4)
39.58 (29.1,53.8)
29.18	(19.6,43.4)
24.19	(19.4,30.1)
26.66 (20.9,34.0)
31.89 (25.8,39.5)
32.33 (22.1,47.3)
26.66 (20.9,34.0)
28.12	(22.6,35.0)
31.19 (23.7,41.1)
35.03 (28.0,43.8)
31.39 (18.1,54.5)
30.95 (21.9,43.7)
39.58 (12.0,130.7)
28.44 (20.3,39.7)
28.84 (21.1,39.5)
29.70 (23.2,38.1)
33.26 (26.6,41.5)
46.55 (36.5,59.4)
35.43 (27.9,45.0)
44.57 (35.3,56.3)
34.87 (27.1,44.9)
35.60 (25.1,50.4)
49.51 (36.1,67.9)
36.53 (23.4,56.9)
31.01 (24.8,38.8)
34.75 (26.9,45.0)
39.95 (31.4,50.8)
43.91 (27.3,70.7)
34.75 (26.9,45.0)
36.01 (28.3,45.9)
39.47	(29.4,52.9)
42.48	(32.5,55.5)
38.73 (23.5,63.8)
39.39 (27.5,56.4)
46.94 (20.6,107.2)
36.67 (26.6,50.5)
34.99 (25.7,47.7)
37.57 (28.5,49.5)
40.93 (32.7,51.2)
40.25 (31.0,52.3)
51.36 (39.9,66.1)
40.82 (32.1,51.9)
40.74 (27.6,60.1)
55.11 (41.5,73.2)
42.99 (28.6,64.6)
35.65 (27.7,45.8)
41.51	(32.2,53.5)
46.44 (36.2,59.5)
50.52	(32.6,78.3)
41.51 (32.2,53.5)
42.04 (32.5,54.4)
46.92 (35.2,62.5)
48.47 (36.3,64.7)
45.44 (26.6,77.7)
46.15 (32.1,66.3)
51.44 (25.3,104.6)
41.90 (31.3,56.1)
40.79 (29.5,56.5)
43.92 (33.3,58.0)
46.01 (35.6,59.5)
50.56 (36.5,70.0)
66.18 (50.0,87.6)
56.48 (42.7,74.7)
50.39 (29.4,86.3)
68.16 (49.8,93.2)
53.30	(31.6,90.0)
44.62	(31.1,64.0)
55.05 (40.7,74.4)
58.63	(42.6,80.7)
64.13 (41.2,99.9)
55.05	(40.7,74.4)
54.55 (38.8,76.8)
59.45	(42.9,82.3)
60.00 (41.5,86.9)
57.37 (34.7,94.9)
64.13 (36.7,112.1)
68.44 (32.1,145.8)
55.31	(41.0,74.6)
52.13 (33.9,80.2)
55.46	(39.3,78.2)
57.06	(41.0,79.4)
60.51 (44.4,82.4) 72.09 (50.9,102.1) 92.69 (65.0,132.2)
C-45

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Table C-23. Marine + freshwater fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
11.64 (8.6,15.7)
3.98(2.3,6.8)
8.86 (6.1,13.0)
16.01
11.7,21.9)
25.21 (18.3,34.7)
32.30 (22.9,45.5)
37.56 (26.0,54.2)
48.62 (31.5,75.0)
Northeast
17.18 (13.4,22.0)
6.11 (3.8,9.8)
13.89 (10.3,18.7)
24.50
19.0,31.6)
36.90 (28.7,47.4)
45.47 (34.8,59.3)
51.27 (38.1,68.9)
64.32 (45.4,91.1)
South
14.73 (11.4,19.0)
5.41 (2.7,10.7)
11.52 (7.6,17.5)
20.23
15.5,26.4)
31.54 (24.9,39.9)
39.56 (31.3,50.0)
46.55 (36.7,59.0)
61.40 (46.2,81.7)
West
15.68 (12.0,20.5)
6.28(3.7,10.7)
12.83 (8.8,18.6)
21.88
16.4,29.2)
32.54 (25.4,41.7)
40.33 (30.8,52.8)
46.76 (35.7,61.3)
58.01 (42.1,80.0)
Coastal Status









Noncoastal
14.10 (10.2,19.5)
5.01 (2.4,10.3)
11.01 (6.9,17.5)
19.45
14.3,26.5)
30.32 (23.2,39.7)
38.80 (29.5,51.1)
45.03 (34.0,59.6)
57.37 (42.8,77.0)
Coastal
15.28 (11.8,19.8)
5.62 (4.0,7.8)
11.89 (9.2,15.4)
21.48
16.8,27.5)
32.80 (24.2,44.5)
40.85 (28.3,59.0)
47.72 (33.6,67.9)
61.09 (40.4,92.4)
Coastal/Inland Region









Pacific
15.19 (11.6,19.9)
5.78(3.9,8.6)
12.16 (9.0,16.5)
21.67
16.9,27.9)
31.99 (23.6,43.3)
39.68 (27.7,56.8)
44.99 (30.3,66.9)
54.57 (31.4,94.8)
Atlantic
15.82 (10.2,24.6)
6.38(4.2,9.7)
12.82 (8.5,19.4)
22.21
14.7,33.6)
33.05 (20.6,52.9)
41.19 (25.3,67.0)
47.14 (28.9,77.0)
60.45 (37.6,97.1)
Gulf of Mexico
16.90 (10.1,28.2)
5.42 (2.2,13.5)
11.78 (5.7,24.1)
22.80
12.1,42.8)
37.30 (21.5,64.8)
53.10 (26.4,106.9)
59.88 (32.1,111.7)
74.16 (37.5,146.8)
Great Lakes
12.30 (8.0,18.9)
3.89 (2.3,6.7)
8.99 (5.8,13.8)
17.22
11.3,26.2)
27.69 (17.5,43.7)
36.23 (23.4,56.1)
39.85 (22.0,72.1)
51.41 (27.2,97.3)
Inland Northeast
17.57 (11.2,27.5)
5.39 (2.7,10.7)
14.08 (8.1,24.5)
25.36
16.0,40.2)
38.98 (24.9,61.0)
47.93 (31.5,73.0)
54.01 (36.2,80.7)
65.91 (44.5,97.5)
Inland Midwest
11.44 (7.8,16.7)
4.01 (2.0,7.9)
8.83 (5.4,14.5)
15.71
10.7,23.1)
24.66 (17.6,34.6)
31.30 (22.3,44.0)
36.88 (25.9,52.5)
47.55 (32.4,69.8)
Inland South
13.98 (9.4,20.9)
5.10 (2.0,13.3)
11.20 (5.9,21.2)
19.12
13.2,27.7)
29.78 (22.0,40.4)
36.71 (28.8,46.8)
42.60 (33.2,54.7)
55.22 (41.5,73.4)
Inland West
16.21 (9.8,26.9)
6.87 (2.9,16.0)
13.29 (7.3,24.1)
22.05
13.6,35.7)
32.97 (21.5,50.7)
42.03 (26.5,66.6)
47.88 (30.9,74.2)
59.81 (39.5,90.5)
C-46

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Table C-24. Marine + freshwater fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onrloi'
6.71 (4.5,10.0)
1.10 (0.6,2.0)
3.44(1.9,6.3)
8.64(5.4,13.8)
16.74 (11.6,24.2)
24.09 (16.8,34.6)
29.66 (21.3,41.3)
42.36 (30.6,58.6)
VJcMUcI
Female
5.89 (3.8,9.0)
0.98
0.5,1.9)
2.97 (1.6,5.5)
7.60 (4.7,12.2)
15.42 (9.5,25.0)
21.83 (14.2,33.6)
26.62
17.9,39.5)
37.34 (26.3,53.0)
Male
A fTQ
7.57 (5.1,11.2)
1.27
0.7,2.4)
4.07 (2.1,7.9)
9.65 (6.2,15.0)
18.19 (13.2,25.2)
26.43 (18.9,37.0)
33.30
23.7,46.7)
47.60 (32.4,70.0)
Mge
1 to <3 yrs
3.88(2.3,6.4)
0.62
0.3,1.3)
1.89 (1.0,3.8)
4.62 (2.8,7.7)
9.70 (5.9,16.1)
15.16 (8.3,27.6)
19.56
10.2,37.4)
27.65 (16.2,47.1)
3 to <6 yrs
5.23 (2.8,9.9)
0.99
0.3,3.0)
3.28(1.1,9.5)
7.21 (3.2,16.1)
12.48 (7.2,21.6)
16.70 (11.1,25.1)
20.52
13.5,31.1)
28.27 (19.1,41.7)
6 to <11 yrs
6.78(3.6,12.8)
1.20
0.5,2.8)
3.74(1.8,7.9)
9.21 (4.7,18.0)
17.13 (8.9,32.9)
24.30 (12.0,49.0)
28.32
15.0,53.4)
36.79 (19.9,67.9)
11 to <16 yrs
5.88 (4.0,8.6)
1.11
0.6,2.0)
3.25 (1.9,5.6)
7.94(5.2,12.0)
14.92 (10.0,22.3)
19.74 (12.8,30.5)
24.03
15.3,37.7)
33.67 (19.9,56.9)
16 to <18 yrs
7.66 (4.8,12.1)
1.20
0.7,2.1)
4.04(2.2,7.5)
10.54 (6.3,17.8)
20.27 (12.0,34.3)
26.45 (17.2,40.7)
32.38
20.8,50.4)
42.68 (27.9,65.2)
18 to <21 yrs
1 nrnmo
10.91 (6.5,18.5)
1.75
1.0,3.2)
5.44(3.2,9.3)
13.47 (8.5,21.3)
27.91 (16.1,48.5)
38.66 (22.6,66.0)
49.01
27.3,88.1)
81.88 (29.7,225.5)
1 IllUIIlC
<$20,000
5.90 (4.5,7.8)
1.01
0.6,1.6)
3.07 (2.1,4.5)
7.62 (5.6,10.3)
14.65 (10.6,20.3)
21.41 (15.7,29.1)
27.07
19.8,37.0)
39.89 (28.5,55.9)
>$20,000
6.82 (4.3,10.7)
1.12
0.6,2.2)
3.47 (1.8,6.7)
8.79 (5.2,14.9)
16.91 (11.2,25.5)
24.20 (16.4,35.7)
29.94
20.9,42.8)
43.47 (30.3,62.4)
Income unknown
8.47 (3.4,21.0)
1.19
0.6,2.4)
4.50 (1.4,14.8)
11.88 (3.2,43.7)
24.46 (6.7,89.2)
30.65 (12.5,74.9)
34.11
18.7,62.2)
45.38 (25.4,81.1)
Income, finer detail










<$20,000
5.90 (4.5,7.8)
1.01
0.6,1.6)
3.07 (2.1,4.5)
7.62 (5.6,10.3)
14.65 (10.6,20.3)
21.41 (15.7,29.1)
27.07
19.8,37.0)
39.89 (28.5,55.9)
$20k-$45k
6.56 (3.8,11.3)
1.03
0.6,1.8)
3.16 (1.7,5.8)
8.21 (4.6,14.7)
16.36 (9.8,27.3)
23.52 (14.6,37.9)
28.73
18.8,43.8)
43.83 (26.1,73.6)
$45k-$75k
6.40 (4.2,9.8)
0.97
0.5,1.8)
3.24(1.7,6.3)
8.39 (4.9,14.3)
16.15 (10.4,25.1)
22.49 (14.4,35.1)
27.62
17.0,45.0)
44.70 (26.6,75.0)
$75k+
7.33 (4.5,12.1)
1.27
0.5,3.0)
3.84(1.9,7.9)
9.60 (5.5,16.9)
18.11 (11.7,28.1)
26.39 (16.1,43.3)
32.14
20.7,49.9)
43.40 (30.4,62.0)
>$20,000
6.34(3.5,11.3)
1.69
0.4,7.9)
4.28(1.8,9.9)
8.45 (4.6,15.7)
15.46 (8.1,29.7)
21.70 (10.7,43.8)
25.19
12.1,52.2)
35.13 (15.2,81.0)
Inc Ref/DK
7.65 (2.9,20.3)
1.15
0.5,2.5)
4.40 (1.2,15.5)
10.48 (2.9,37.5)
21.00 (5.7,78.0)
26.43 (10.2,68.5)
31.57
14.2,70.2)
40.24 (21.2,76.2)
Inc missing
9.61 (2.8,32.8)
1.33
0.4,5.0)
4.69 (1.1,20.8)
13.62 (2.7,69.3)
25.99 (6.2,108.6)
33.34 (11.2,99.1)
37.71
15.2,93.5)
52.36 (19.1,143.6)
Race/Ethnicity










Mexican American
5.09 (3.7,7.0)
0.88
0.6,1.4)
2.76 (1.7,4.5)
6.54(4.7,9.2)
12.71 (9.1,17.8)
18.16 (12.7,25.9)
22.40
15.1,33.2)
33.09 (21.0,52.0)
Other Hispanic
4.62 (2.5,8.7)
0.64
0.2,1.8)
2.09 (1.0,4.5)
5.99 (3.2,11.1)
11.88 (6.2,22.7)
17.09 (8.8,33.3)
21.88
11.9,40.3)
32.99 (18.1,60.0)
White
6.75 (3.7,12.3)
1.06
0.5,2.4)
3.30 (1.4,7.6)
8.49 (4.3,16.7)
16.70 (9.7,28.8)
24.59 (14.3,42.4)
30.45
18.3,50.6)
44.70 (27.1,73.9)
Black
6.64 (4.8,9.2)
1.51
1.0,2.4)
4.46 (3.0,6.7)
9.22 (6.7,12.7)
15.65 (10.8,22.7)
20.67 (13.5,31.7)
24.66
15.6,39.1)
33.85 (20.7,55.4)
Other race
11.45 (6.4,20.6)
2.04
0.8,4.9)
7.23 (2.7,19.2)
16.91 (7.0,41.0)
27.78 (16.8,45.8)
35.61 (25.6,49.5)
42.64
30.2,60.2)
54.85 (37.1,81.1)
C-47

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Table C-24. Marine + freshwater fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25
th
50
ith
75
th
90
ith
95
th
97
th
99
th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
4.69 (3.5,6.4)
8.38 (4.3,16.3)
6.51 (4.4,9.7)
7.92 (4.2,14.9)
0.84(0.4,1.8)
1.19 (0.7,1.9)
1.15 (0.6,2.1)
1.36 (0.6,3.3)
6.61(3.9,11.1) 1.09(0.6,2.1)
6.88(5.1,9.3) 1.11(0.6,2.0)
2.46 (1.3,4.6)
3.86 (2.5,6.0)
3.48(2.0,6.0)
4.28(1.7,10.7)
3.40 (1.7,6.6)
3.50 (2.0,6.1)
6.24(4.0,9.6)
9.36 (6.5,13.4)
8.50 (5.5,13.2)
11.03 (4.6,26.3)
8.49 (4.9,14.6)
8.91 (6.0,13.3)
11.75 (8.6,16.1)
21.45 (10.1,45.3)
15.96 (10.9,23.5)
20.64 (10.2,41.6)
16.45 (9.9,27.4)
17.31 (13.0,23.0)
16.75 (11.6,24.3)
33.74 (12.5,91.2)
22.20 (15.6,31.6)
27.81 (15.9,48.7)
23.56 (14.1,39.5)
24.77 (18.8,32.7)
19.93 (12.0,33.1)
41.66 (15.4,112.9)
27.16 (19.2,38.5)
33.01 (20.3,53.6)
29.09 (17.5,48.2)
30.61 (23.1,40.7)
28.06 (14.2,55.4)
71.58 (17.3,297.0)
38.74 (26.9,55.8)
41.22 (24.5,69.4)
41.22 (24.4,69.6)
42.68 (29.6,61.5)
Pacific
6.87 (4.7,10.0)
0.96
(0.5,1.9)
3.28(1.7,6.3)
9.23
(4.8,17.6)
18.11 (11.7,28.2)
25.65 (16.4,40.0)
31.98 (20.7,49.4)
41.69 (23.5,73.9)
Atlantic
6.69 (4.6,9.6)
1.33
(0.7,2.5)
3.96 (2.3,6.9)
8.97
(6.0,13.5)
16.30 (11.2,23.6)
22.82 (15.8,32.9)
27.19 (18.2,40.5)
37.22 (23.9,57.9)
Gulf of Mexico
9.80 (3.2,30.3)
1.45
(0.4,5.0)
5.00 (1.2,21.5)
12.45
(3.3,46.4)
24.42 (7.6,78.0)
33.09 (13.5,81.0)
44.60 (16.5,120.4)
81.56 (19.0,350.5)
Great Lakes
4.43 (1.8,10.7)
0.86
(0.4,1.8)
2.33 (1.4,3.9)
5.21
(2.2,12.5)
10.79 (3.3,35.2)
16.93 (5.8,49.5)
20.82 (6.9,62.9)
31.30 (10.9,90.2)
Inland Northeast
8.94(3.6,22.2)
1.03
(0.6,1.7)
3.36 (2.0,5.6)
8.46
(5.3,13.6)
25.91 (7.2,93.8)
40.43 (8.7,188.1)
56.53 (9.1,352.7)
81.88 (12.1,555.8)
Inland Midwest
4.77 (2.9,7.8)
0.85
(0.4,2.1)
2.54(1.1,6.0)
6.50
(3.2,13.1)
12.02 (7.6,18.9)
16.66 (11.5,24.1)
19.71 (14.5,26.8)
26.70 (18.2,39.3)
Inland South
5.78(3.8,8.9)
1.05
(0.6,1.8)
3.11 (1.9,5.2)
7.99
(4.8,13.2)
14.40 (9.5,21.9)
19.64 (12.9,30.0)
23.48 (15.1,36.6)
33.51 (21.4,52.5)
Inland West
8.79 (3.2,23.9)
1.82
(0.5,6.8)
5.37 (1.4,21.2)
12.64
(3.8,42.5)
22.06 (8.1,60.4)
28.04 (12.2,64.7)
33.11 (15.1,72.8)
41.22 (20.4,83.2)
C-48

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Table C-25. Marine + estuarine fish usual fish consumption rate estimates, all ages





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
15.58 (12.2,20.0)
3.39 (1.9,5.9)
10.28 (7.0,15.1)
21.67 (16.6,28.3)
37.10 (29.8,46.2)
49.70 (39.8,62.0)
58.85 (47.3,73.2)
78.69 (62.8,98.6)
Gender








Female
14.23 (10.7,18.9)
3.08(1.8,5.4)
9.50 (6.3,14.4)
19.88 (14.8,26.7)
33.87 (26.3,43.6)
44.72 (34.9,57.4)
53.02 (41.3,68.0)
70.21 (54.6,90.2)
Male
A fTQ
17.21 (13.7,21.6)
3.76 (2.2,6.3)
11.34 (8.0,16.1)
23.73 (18.7,30.2)
40.72 (33.1,50.1)
55.17 (44.7,68.1)
64.97 (52.9,79.7)
87.93 (69.8,110.8)
Age
1 to <3 yrs
4.24(2.3,7.9)
0.56 (0.3,1.0)
1.90 (0.9,4.0)
4.63 (2.8,7.7)
10.56 (5.7,19.7)
16.43 (8.6,31.4)
22.70 (10.1,50.8)
33.20 (17.4,63.2)
3 to <6 yrs
5.64(3.1,10.1)
0.97 (0.4,2.4)
3.31 (1.4,8.0)
7.55 (3.9,14.6)
13.69 (8.2,23.0)
19.25 (11.7,31.7)
23.83 (14.4,39.5)
33.07 (21.5,50.8)
6 to <11 yrs
7.89 (4.4,14.3)
1.24(0.6,2.4)
4.11 (2.1,8.0)
9.99 (5.9,16.8)
20.15 (10.8,37.7)
28.19 (15.2,52.3)
36.35 (17.7,74.5)
49.36 (25.8,94.3)
11 to <16 yrs
7.21 (4.8,10.9)
1.19 (0.7,2.1)
3.82 (2.0,7.2)
9.35 (6.0,14.5)
17.88 (11.6,27.4)
25.97 (16.8,40.1)
32.42 (21.2,49.5)
44.69 (26.5,75.4)
16 to <18 yrs
9.12 (6.3,13.3)
1.50 (0.9,2.5)
4.77 (2.8,8.0)
12.70 (7.8,20.7)
22.98 (16.1,32.7)
32.01 (22.4,45.7)
39.62 (26.7,58.7)
53.09 (37.3,75.6)
18 to <21 yrs
14.55 (8.1,26.1)
2.24 (1.2,4.2)
7.30 (4.2,12.7)
18.69 (10.3,34.0)
37.70 (19.5,72.8)
51.84 (29.0,92.8)
65.65 (35.1,122.8)
97.94 (45.6,210.6)
21 to <35 yrs
16.61 (11.8,23.4)
4.37 (2.1,9.3)
11.43 (6.8,19.2)
22.78 (15.5,33.5)
37.54 (29.0,48.6)
49.92 (39.3,63.5)
59.44 (46.9,75.3)
82.09 (62.4,108.0)
35 to <50 yrs
18.42 (14.9,22.8)
6.70 (4.3,10.6)
14.03 (10.7,18.5)
25.14 (20.1,31.4)
39.58 (31.4,49.9)
51.36 (40.4,65.3)
60.52 (47.4,77.3)
76.94 (57.0,103.9)
50 to <65 yrs
23.14 (16.4,32.7)
8.68(5.0,15.1)
17.54 (12.1,25.5)
31.40 (22.9,43.0)
51.51 (34.3,77.3)
63.94 (44.8,91.3)
73.67 (51.6,105.2)
92.14 (67.4,126.0)
65+ yrs
15.86 (12.0,21.0)
4.86 (3.3,7.2)
11.16 (7.9,15.7)
21.58 (15.8,29.5)
36.71 (28.5,47.3)
47.08 (35.5,62.4)
56.21 (43.3,72.9)
74.45 (57.2,97.0)
Income








<$20,000
12.45 (9.9,15.6)
2.20 (1.5,3.3)
7.59 (5.3,10.9)
16.63 (13.2,21.0)
29.81 (24.0,37.0)
41.26 (33.3,51.1)
50.13 (40.1,62.7)
69.73 (53.7,90.5)
>$20,000
16.09 (12.6,20.6)
3.69 (2.1,6.5)
10.80 (7.4,15.7)
22.41 (17.3,29.1)
37.89 (30.5,47.0)
50.82 (40.7,63.4)
60.09 (48.1,75.0)
80.11 (63.7,100.7)
Income unknown
17.93 (9.4,34.2)
3.98(1.1,14.0)
12.36 (4.4,34.8)
25.93 (12.3,54.8)
41.99 (25.9,67.9)
55.09 (35.2,86.3)
63.30 (43.7,91.7)
81.09 (57.8,113.7)
Income, finer detail








<$20,000
12.45 (9.9,15.6)
2.20 (1.5,3.3)
7.59 (5.3,10.9)
16.63 (13.2,21.0)
29.81 (24.0,37.0)
41.26 (33.3,51.1)
50.13 (40.1,62.7)
69.73 (53.7,90.5)
$20k-$45k
13.78 (10.1,18.7)
2.92 (1.6,5.2)
8.90 (5.7,13.9)
18.88 (13.6,26.2)
32.91 (24.9,43.6)
43.56 (34.0,55.9)
53.19 (40.0,70.7)
72.99 (55.0,96.9)
$45k-$75k
15.26 (11.6,20.1)
3.39 (2.1,5.6)
10.03 (6.9,14.6)
20.97 (15.6,28.2)
36.59 (27.9,48.0)
48.83 (37.7,63.2)
58.75 (45.3,76.1)
76.26 (57.5,101.1)
$75k+
18.58 (14.8,23.4)
4.94(2.6,9.4)
13.34 (9.4,19.0)
26.00 (20.7,32.7)
42.99 (34.8,53.1)
55.57 (45.2,68.3)
64.98 (52.6,80.2)
85.91 (67.9,108.8)
>$20,000
15.93 (9.8,25.9)
4.49 (1.9,10.6)
11.62 (6.2,21.7)
22.60 (13.3,38.4)
34.61 (22.1,54.3)
43.97 (27.2,71.1)
54.36 (34.1,86.7)
77.16 (43.9,135.7)
Inc Ref/DK
17.52 (10.0,30.6)
4.22 (1.3,13.7)
12.87 (4.7,35.1)
25.80 (13.1,50.8)
40.54 (26.7,61.6)
51.25 (35.9,73.2)
58.91 (42.1,82.4)
71.40 (50.8,100.4)
Inc missing
18.70 (6.5,53.6)
3.69 (0.6,21.1)
11.25 (3.0,41.6)
25.95 (8.1,83.2)
46.37 (16.5,130.2)
60.76 (25.4,145.4)
79.38 (28.3,222.4)
101.47 (41.9,245.5)
Race/Ethnicity








Mexican American
13.61 (9.8,18.9)
2.45 (1.5,4.1)
8.41 (5.1,13.8)
19.01 (13.2,27.3)
33.46 (24.1,46.4)
45.32 (32.6,63.0)
52.84 (40.2,69.4)
72.26 (53.8,97.1)
Other Hispanic
13.66 (10.2,18.4)
2.29 (1.4,3.6)
8.12 (5.6,11.7)
19.50 (13.7,27.8)
33.39 (24.9,44.8)
45.99 (33.6,63.0)
56.32 (39.0,81.4)
73.21 (54.4,98.6)
White
15.21 (11.9,19.4)
3.44(1.8,6.5)
10.17 (6.9,15.0)
21.07 (16.3,27.2)
36.04 (28.8,45.0)
47.62 (38.1,59.5)
56.68 (45.3,71.0)
76.94 (60.6,97.7)
Black
14.72 (11.7,18.6)
3.66 (2.4,5.5)
10.18 (7.3,14.1)
20.35 (15.8,26.2)
34.39 (27.3,43.3)
45.41 (36.3,56.8)
54.39 (42.7,69.3)
69.11 (54.2,88.1)
Other race
25.84 (17.0,39.4)
7.56 (2.9,19.8)
19.41 (10.5,36.0)
36.74 (23.5,57.5)
58.37 (40.0,85.3)
71.64 (54.0,95.1)
85.57 (61.2,119.6)
111.94 (78.5,159.7)
C-49

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Table C-25. Marine + estuarine fish usual fish consumption rate estimates, all ages (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
10.68 (7.8,14.6)
2.28(1.2,4.4)
7.12 (4.3,11.9)
14.54 (10.3,20.5)
25.19 (18.7,33.9)
33.32 (25.0,44.5)
40.23 (30.0,53.9)
56.33 (42.4,74.8)
Northeast
20.24 (15.7,26.1)
4.04(2.9,5.7)
13.75 (10.4,18.1)
28.54 (22.5,36.2)
49.16 (36.3,66.5)
63.37 (46.9,85.7)
74.11 (54.5,100.8)
98.25 (69.8,138.4)
South
15.49 (11.7,20.5)
3.59 (2.0,6.5)
10.51 (6.9,16.1)
21.25 (15.8,28.5)
35.88 (28.3,45.5)
47.65 (37.9,59.8)
57.44 (45.1,73.2)
80.28 (59.4,108.6)
West
17.76 (13.3,23.7)
4.38(2.4,8.1)
12.74 (8.7,18.6)
25.39 (18.5,34.9)
41.36 (31.3,54.7)
52.91 (41.4,67.6)
61.52 (48.1,78.7)
79.21 (60.7,103.4)
Coastal Status








Noncoastal
14.38 (10.0,20.6)
3.04(1.6,5.7)
9.27 (5.8,14.8)
19.69 (13.7,28.4)
34.06 (24.8,46.7)
46.33 (33.1,64.8)
55.44 (39.6,77.5)
74.33 (53.8,102.7)
Coastal
17.48 (14.3,21.3)
4.06 (2.8,5.9)
12.03 (9.4,15.4)
24.55 (19.8,30.4)
41.04 (33.2,50.8)
54.07 (43.7,66.9)
63.10 (50.6,78.6)
83.46 (66.0,105.5)
Coastal/Inland Region








Pacific
17.31 (13.6,22.0)
3.58(2.3,5.5)
12.24 (8.8,17.1)
25.12 (19.3,32.7)
41.21 (32.8,51.8)
52.61 (41.3,67.0)
61.24 (47.7,78.6)
79.10 (58.7,106.6)
Atlantic
18.52 (12.7,27.0)
4.94(3.1,7.8)
13.31 (8.7,20.4)
25.80 (16.7,39.8)
42.27 (28.7,62.3)
55.45 (39.4,78.1)
64.50 (45.9,90.5)
85.02 (62.0,116.5)
Gulf of Mexico
20.03 (12.2,33.0)
4.79 (1.6,14.1)
13.05 (6.7,25.4)
27.45 (15.8,47.7)
45.90 (31.2,67.6)
64.85 (39.2,107.4)
76.63 (47.5,123.5)
101.53 (66.0,156.1)
Great Lakes
12.40 (8.8,17.5)
2.60 (1.6,4.3)
7.96 (5.5,11.5)
16.97 (11.4,25.2)
30.07 (21.0,43.0)
40.53 (28.7,57.3)
47.25 (31.8,70.3)
62.23 (38.8,99.7)
Inland Northeast
20.56 (13.1,32.3)
3.42 (2.1,5.5)
13.13 (8.6,20.0)
29.44 (18.8,46.1)
51.36 (29.8,88.5)
66.84 (38.3,116.8)
77.08 (45.9,129.4)
107.39 (55.6,207.4)
Inland Midwest
10.18 (6.3,16.3)
2.18(1.0,4.9)
6.89 (3.5,13.4)
13.97 (8.5,23.0)
23.88 (15.7,36.4)
31.47 (21.5,46.1)
37.37 (26.0,53.8)
53.92 (34.3,84.7)
Inland South
13.39 (8.8,20.4)
2.94(1.5,5.7)
9.27 (5.1,16.8)
18.53 (12.1,28.4)
30.79 (21.7,43.7)
40.50 (29.3,55.9)
48.90 (34.2,70.0)
65.26 (46.9,90.9)
Inland West
18.20 (11.4,29.0)
5.28(1.8,15.3)
13.22 (7.7,22.8)
25.58 (16.2,40.3)
41.45 (27.0,63.7)
52.98 (35.7,78.7)
61.62 (41.8,90.9)
79.27 (54.1,116.2)
C-50

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Table C-26. Marine + estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
17.97 (14.8,23.4)
6.01 (3.6,9.9)
13.58 (9.9,18.6)
25.35
(20.2,31.8)
41.12 (33.5,50.5)
54.38 (43.6,67.9)
63.23 (51.0,78.4)
82.82 (66.2,103.6)
Gender









Female
15.90 (12.8,22.0)
5.36 (3.1,9.3)
12.36 (8.6,17.7)
23.16
(17.7,30.3)
37.34 (29.4,47.4)
48.77 (37.8,62.9)
56.93 (44.1,73.4)
73.67 (57.3,94.7)
Male
A fTQ
20.65 (16.9,25.8)
7.02 (4.5,11.0)
15.28 (11.6,20.1)
28.17
(22.7,35.0)
46.26 (37.9,56.5)
60.45 (49.0,74.6)
70.33 (57.1,86.7)
91.98 (73.4,115.3)
Age
21 to <35 yrs
15.31 (11.8,23.4)
4.37 (2.1,9.3)
11.43 (6.8,19.2)
22.78
(15.5,33.5)
37.54 (29.0,48.6)
49.92 (39.3,63.5)
59.44 (46.9,75.3)
82.09 (62.4,108.0)
35 to <50 yrs
18.39 (14.9,22.8)
6.70 (4.3,10.6)
14.03 (10.7,18.5)
25.14
(20.1,31.4)
39.58 (31.4,49.9)
51.36 (40.4,65.3)
60.52 (47.4,77.3)
76.94 (57.0,103.9)
50 to <65 yrs
21.46 (16.4,32.7)
8.68(5.0,15.1)
17.54 (12.1,25.5)
31.40
(22.9,43.0)
51.51 (34.3,77.3)
63.94 (44.8,91.3)
73.67 (51.6,105.2)
92.14 (67.4,126.0)
65+ yrs
16.70 (12.0,21.0)
4.86 (3.3,7.2)
11.16 (7.9,15.7)
21.58
(15.8,29.5)
36.71 (28.5,47.3)
47.08 (35.5,62.4)
56.21 (43.3,72.9)
74.45 (57.2,97.0)
WCA (13-49 years)
13.60 (11.0,19.3)
3.55 (2.0,6.4)
10.29 (6.6,16.1)
20.36
(15.0,27.6)
33.60 (26.4,42.7)
43.92 (34.9,55.3)
51.13 (41.4,63.1)
68.97 (53.9,88.2)
Income









<$20,000
14.64 (11.9,19.0)
3.67 (2.2,6.0)
10.42 (7.2,15.1)
20.27
(16.1,25.6)
33.54 (27.1,41.4)
45.41 (36.8,56.0)
54.62 (43.3,68.9)
75.61 (57.2,99.9)
>$20,000
18.58 (15.3,24.1)
6.49 (4.0,10.5)
14.16 (10.4,19.2)
26.15
(20.8,32.8)
42.15 (34.2,52.0)
55.36 (44.3,69.2)
64.26 (51.8,79.8)
83.39 (66.6,104.4)
Income unknown
18.07 (11.7,36.1)
6.68(1.7,25.7)
15.55 (6.9,35.3)
28.12
(16.8,47.0)
46.56 (28.5,76.1)
58.10 (39.1,86.2)
65.61 (47.5,90.7)
81.09 (59.1,111.3)
Income, finer detail









<$20,000
14.64 (11.9,19.0)
3.67 (2.2,6.0)
10.42 (7.2,15.1)
20.27
(16.1,25.6)
33.54 (27.1,41.4)
45.41 (36.8,56.0)
54.62 (43.3,68.9)
75.61 (57.2,99.9)
$20k-$45k
15.40 (12.3,21.2)
5.01 (2.8,8.8)
11.67 (7.9,17.2)
21.94
(16.7,28.8)
36.30 (28.3,46.6)
47.65 (37.3,60.9)
56.73 (43.5,74.0)
74.38 (58.5,94.5)
$45k-$75k
17.74 (13.8,23.8)
5.88(3.7,9.4)
13.06 (9.3,18.4)
24.47
(18.5,32.3)
40.79 (31.1,53.5)
54.43 (41.0,72.3)
63.11 (48.3,82.4)
81.05 (61.6,106.7)
$75k+
21.93 (18.1,27.7)
8.60 (5.9,12.6)
17.49 (13.3,23.0)
30.25
(24.6,37.2)
48.19 (39.1,59.5)
61.06 (49.2,75.8)
70.18 (56.3,87.4)
88.48 (69.6,112.5)
>$20,000
17.49 (11.5,29.2)
7.02 (2.9,16.9)
14.55 (8.2,25.8)
25.29
(15.6,41.1)
37.29 (23.3,59.7)
49.36 (30.6,79.7)
58.04 (36.1,93.4)
83.44 (44.5,156.6)
Inc Ref/DK
18.18 (12.3,33.0)
6.73 (2.0,23.1)
15.68 (7.3,33.8)
28.24
(17.2,46.3)
44.84 (29.5,68.2)
55.09 (38.9,78.0)
60.64 (44.9,82.0)
74.05 (50.3,109.0)
Inc missing
17.82 (8.1,57.8)
5.86 (1.1,29.9)
15.00 (4.7,47.5)
28.12
(11.5,68.5)
48.60 (20.9,112.9)
63.70 (28.7,141.2)
79.38 (32.1,196.6)
122.57 (31.2,481.0)
Race/Ethnicity









Mexican American
16.85 (12.5,26.7)
5.30 (2.6,10.7)
13.72 (8.3,22.7)
24.90
(17.2,36.1)
40.15 (28.7,56.2)
51.80 (37.9,70.7)
60.00 (45.2,79.7)
80.87 (58.9,111.0)
Other Hispanic
16.99 (12.7,27.2)
5.95 (2.9,12.0)
13.69 (8.7,21.6)
25.93
(17.1,39.3)
40.67 (29.1,56.8)
54.90 (36.6,82.4)
61.53 (44.7,84.7)
81.57 (58.7,113.4)
White
17.47 (14.1,22.0)
5.71 (3.6,9.1)
12.90 (9.6,17.4)
24.13
(19.3,30.2)
39.09 (31.3,48.9)
51.68 (41.4,64.5)
60.58 (48.5,75.6)
79.21 (62.3,100.7)
Black
17.59 (14.0,24.2)
6.68(3.8,11.8)
14.06 (9.7,20.4)
25.32
(18.9,33.9)
39.95 (31.2,51.2)
51.76 (40.1,66.9)
59.46 (46.9,75.3)
72.46 (54.5,96.3)
Other race
27.63 (20.9,44.5)
11.57 (6.5,20.6)
23.88 (15.8,36.0)
41.45
(29.2,58.9)
63.61 (44.9,90.2)
80.24 (56.4,114.2)
94.04 (63.8,138.6)
121.64 (80.3,184.2)
C-51

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Table C-26. Marine + estuarine fish usual fish consumption rate estimates, adults >21 years (continued)






Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
12.35 (9.3,17.1)
4.07 (2.3,7.1)
9.21 (6.0,14.1)
17.11
(12.3,23.8)
28.17 (21.0,37.8)
36.67 (27.5,48.9)
43.28 (32.2,58.2)
59.46 (44.9,78.7)
Northeast
23.50 (19.0,30.4)
7.95 (5.5,11.5)
18.48 (14.3,24.0)
33.23
(26.5,41.6)
53.44 (40.8,70.0)
67.36 (51.7,87.8)
75.65 (59.1,96.8)
99.76 (74.9,132.9)
South
17.63 (14.1,24.5)
6.52 (3.4,12.6)
13.77 (9.5,19.9)
25.05
(19.2,32.7)
40.08 (32.0,50.2)
53.20 (41.8,67.7)
62.57 (49.2,79.6)
84.36 (64.2,110.9)
West
20.43 (16.0,28.1)
7.63 (5.3,11.1)
16.74 (11.8,23.7)
29.15
(22.0,38.5)
45.73 (34.6,60.4)
57.76 (44.3,75.3)
65.85 (51.0,85.0)
82.61 (62.9,108.5)
Coastal Status









Noncoastal
15.99 (12.2,24.0)
5.32 (2.8,10.0)
12.31 (8.0,19.0)
23.23
(16.7,32.3)
38.05 (28.2,51.3)
51.15 (36.3,72.0)
59.72 (43.0,83.0)
77.32 (56.9,105.1)
Coastal
21.45 (17.0,25.7)
7.41 (5.4,10.3)
15.77 (12.3,20.2)
28.44
(22.5,36.0)
45.31 (36.2,56.7)
58.52 (47.0,72.9)
68.02 (54.6,84.8)
88.23 (69.4,112.2)
Coastal/Inland Region









Pacific
20.74 (16.0,26.3)
7.14 (4.8,10.6)
16.28 (11.6,22.9)
28.34
(21.9,36.7)
44.45 (34.9,56.6)
56.87 (44.5,72.7)
63.94 (48.6,84.1)
81.09 (58.7,111.9)
Atlantic
24.50 (15.3,32.7)
8.74(5.6,13.5)
17.36 (11.1,27.1)
30.08
(19.3,46.8)
47.56 (33.1,68.3)
61.01 (44.4,83.9)
70.66 (51.9,96.2)
89.17 (63.2,125.8)
Gulf of Mexico
21.47 (15.4,36.0)
7.91 (3.8,16.4)
16.42 (10.5,25.7)
32.27
(19.8,52.7)
52.27 (34.1,80.2)
70.38 (42.6,116.2)
83.23 (50.3,137.8)
107.36 (68.6,167.9)
Great Lakes
16.16 (10.6,21.1)
5.11 (3.0,8.6)
10.96 (7.4,16.2)
20.32
(14.0,29.5)
32.79 (22.3,48.1)
43.09 (29.4,63.2)
50.34 (33.9,74.8)
64.94 (40.6,103.8)
Inland Northeast
22.70 (15.5,37.6)
6.74(3.7,12.1)
18.26 (11.3,29.5)
34.20
(22.1,52.9)
54.96 (33.7,89.7)
69.28 (42.9,112.0)
77.35 (50.9,117.7)
101.73 (65.1,158.9)
Inland Midwest
10.97 (7.8,18.6)
3.83 (2.0,7.3)
8.82 (5.1,15.2)
16.31
(10.3,25.7)
26.66 (17.7,40.3)
34.23 (23.8,49.3)
40.23 (28.1,57.6)
57.03 (37.2,87.4)
Inland South
14.25 (10.4,25.0)
5.53 (2.4,12.9)
12.21 (6.9,21.6)
21.97
(14.3,33.8)
34.40 (24.7,47.8)
44.74 (32.2,62.1)
53.39 (37.3,76.5)
69.92 (49.8,98.1)
Inland West
20.16 (13.9,34.9)
8.10 (4.8,13.8)
17.38 (10.5,28.7)
30.62
(18.9,49.7)
47.32 (29.5,75.9)
58.81 (38.6,89.6)
68.29 (44.0,106.0)
84.69 (57.8,124.0)
C-52

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Table C-27. Marine + estuarine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
7.31 (5.4,12.1)
1.21 (0.7,2.2)
3.86 (2.2,6.9)
9.92 (6.6,15.0)
20.46 (13.8,30.4)
30.05 (20.5,44.2)
39.04 (25.3,60.3)
56.74 (39.9,80.7)
oenaer
Female
6.44 (4.7,11.2)
1.08
0.6,2.0)
3.37 (1.9,5.9)
8.88 (5.9,13.4)
18.51 (12.2,28.1)
27.30 (17.6,42.3)
35.44 (21.0,59.7)
50.60 (32.6,78.6)
Male
A np
8.21 (6.1,13.4)
1.37
0.8,2.4)
4.39 (2.5,7.8)
11.05 (7.3,16.8)
22.65 (15.2,33.9)
33.09 (22.7,48.1)
41.92 (28.9,60.9)
65.65 (42.9,100.6)
age
1 to <3 yrs
3.57 (2.3,7.9)
0.56
0.3,1.0)
1.90 (0.9,4.0)
4.63 (2.8,7.7)
10.56 (5.7,19.7)
16.43 (8.6,31.4)
22.70 (10.1,50.8)
33.20 (17.4,63.2)
3 to <6 yrs
4.79 (3.1,10.1)
0.97
0.4,2.4)
3.31 (1.4,8.0)
7.55 (3.9,14.6)
13.69 (8.2,23.0)
19.25 (11.7,31.7)
23.83 (14.4,39.5)
33.07 (21.5,50.8)
6 to <11 yrs
7.04 (4.4,14.3)
1.24
0.6,2.4)
4.11 (2.1,8.0)
9.99 (5.9,16.8)
20.15 (10.8,37.7)
28.19 (15.2,52.3)
36.35 (17.7,74.5)
49.36 (25.8,94.3)
11 to <16 yrs
7.28(4.8,10.9)
1.19
0.7,2.1)
3.82 (2.0,7.2)
9.35 (6.0,14.5)
17.88 (11.6,27.4)
25.97 (16.8,40.1)
32.42 (21.2,49.5)
44.69 (26.5,75.4)
16 to <18 yrs
8.26 (6.3,13.3)
1.50
0.9,2.5)
4.77 (2.8,8.0)
12.70 (7.8,20.7)
22.98 (16.1,32.7)
32.01 (22.4,45.7)
39.62 (26.7,58.7)
53.09 (37.3,75.6)
18 to <21 yrs
12.85 (8.1,26.1)
2.24
1.2,4.2)
7.30 (4.2,12.7)
18.69 (10.3,34.0)
37.70 (19.5,72.8)
51.84 (29.0,92.8)
65.65 (35.1,122.8)
97.94 (45.6,210.6)
1 IllUlllc
<$20,000
7.07 (5.4,9.3)
1.12
0.7,1.8)
3.46 (2.4,5.0)
8.65 (6.2,12.0)
17.93 (13.1,24.5)
26.70 (19.8,36.0)
33.93 (24.9,46.2)
49.66 (37.1,66.5)
>$20,000
7.32 (5.3,12.6)
1.23
0.6,2.4)
3.91 (2.1,7.4)
10.06 (6.3,16.1)
20.47 (13.4,31.2)
29.78 (20.4,43.6)
38.86 (25.2,59.8)
57.04 (39.6,82.1)
Income unknown
8.25 (3.9,36.1)
1.46
0.7,3.2)
5.45 (1.6,18.2)
14.75 (4.1,53.1)
33.70 (8.1,140.9)
44.45 (15.5,127.1)
52.62 (22.2,124.8)
74.53 (32.0,173.8)
Income, finer detail









<$20,000
7.07 (5.4,9.3)
1.12
0.7,1.8)
3.46 (2.4,5.0)
8.65 (6.2,12.0)
17.93 (13.1,24.5)
26.70 (19.8,36.0)
33.93 (24.9,46.2)
49.66 (37.1,66.5)
$20k-$45k
6.52 (4.2,14.5)
1.12
0.6,2.0)
3.43 (1.9,6.2)
9.26 (5.2,16.5)
19.15 (11.0,33.4)
28.09 (16.6,47.5)
37.73 (19.1,74.6)
59.48 (27.6,128.2)
$45k-$75k
7.10 (5.0,10.7)
1.05
0.6,1.8)
3.46 (1.9,6.2)
9.03 (5.9,13.8)
18.89 (12.8,27.9)
26.64 (17.5,40.5)
33.55 (21.0,53.6)
50.70 (28.4,90.6)
$75k+
8.08(5.7,14.1)
1.43
0.6,3.2)
4.56 (2.2,9.6)
11.38 (6.9,18.9)
22.99 (14.3,37.0)
33.48 (21.2,52.8)
42.68 (26.5,68.7)
61.00 (42.4,87.7)
>$20,000
7.82 (4.8,14.2)
1.87
0.5,6.7)
4.77 (2.6,8.7)
10.99 (6.2,19.5)
19.33 (11.2,33.4)
25.35 (13.0,49.5)
29.23 (11.1,76.6)
48.39 (19.7,119.0)
Inc Ref/DK
7.59 (3.3,32.5)
1.29
0.6,2.7)
4.82 (1.8,12.8)
13.88 (3.5,55.6)
28.90 (6.8,122.7)
41.47 (10.5,163.5)
49.31 (14.6,166.9)
61.30 (27.4,137.1)
Inc missing
9.21 (3.3,58.2)
1.56
0.4,6.0)
6.33 (1.0,38.9)
17.44 (3.1,98.5)
39.68 (6.4,245.6)
51.81 (13.0,207.3)
63.47 (18.0,224.2)
88.68 (28.3,278.2)
Race/Ethnicity









Mexican American
6.55 (4.8,8.8)
1.08
0.7,1.6)
3.29 (2.2,4.8)
8.39 (6.1,11.6)
16.28 (11.6,22.8)
23.57 (16.3,34.1)
29.15 (19.4,43.8)
42.89 (26.2,70.2)
Other Hispanic
5.91 (1.9,11.8)
0.73
0.3,1.9)
2.39 (1.1,5.2)
6.09 (2.5,14.6)
12.09 (4.8,30.2)
17.41 (6.9,44.2)
22.76 (10.2,50.7)
32.11 (12.7,80.9)
White
6.75 (4.2,15.5)
1.15
0.5,2.7)
3.60 (1.6,8.2)
9.53 (5.1,17.9)
20.53 (10.8,39.0)
30.43 (16.5,56.1)
39.96 (20.3,78.5)
60.72 (31.3,117.7)
Black
8.06 (4.8,11.1)
1.51
1.0,2.4)
4.66 (3.2,6.8)
9.90 (6.5,15.1)
17.41 (10.9,27.9)
23.43 (13.9,39.5)
28.02 (15.8,49.7)
38.11 (19.4,74.9)
Other race
13.21 (8.7,28.8)
2.63
1.0,6.6)
10.04 (3.5,29.0)
22.83 (9.9,52.6)
42.18 (20.2,88.2)
52.07 (34.1,79.4)
59.50 (41.1,86.1)
75.53 (46.0,123.9)
C-53

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Table C-27. Marine + estuarine fish usual fish consumption rate estimates, youth <21 year (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
5.53 (4.1,7.9)
0.90 (0.4,2.0)
2.66 (1.4,5.1)
7.29 (4.4,12.1)
13.90 (9.5,20.2)
20.89 (13.4,32.7)
26.81 (16.6,43.2)
42.31 (27.3,65.5)
Northeast
9.11 (5.7,18.6)
1.27 (0.9,1.9)
4.24(3.0,6.0)
11.19 (8.3,15.1)
26.14 (14.5,47.2)
40.10 (18.1,88.8)
52.83 (20.5,136.1)
97.94 (19.0,503.8)
South
7.18 (5.2,11.1)
1.26 (0.7,2.1)
3.86 (2.4,6.3)
9.54(6.4,14.1)
18.67 (13.0,26.9)
26.86 (18.8,38.4)
34.46 (22.9,51.9)
50.89 (33.4,77.5)
West
8.27 (5.3,18.2)
1.60 (0.6,4.2)
5.08(2.0,13.2)
13.04 (5.7,29.6)
25.29 (12.9,49.6)
36.35 (19.3,68.6)
43.62 (25.9,73.5)
56.70 (34.5,93.1)
Coastal Status








Noncoastal
6.70 (4.5,13.1)
1.15 (0.6,2.2)
3.69 (1.9,7.3)
9.34(5.7,15.3)
18.88 (11.6,30.7)
27.43 (16.9,44.5)
35.88 (20.2,63.8)
54.33 (29.1,101.3)
Coastal
8.40 (6.6,11.7)
1.33 (0.8,2.3)
4.14(2.7,6.4)
10.97 (7.9,15.3)
23.20 (17.0,31.7)
34.09 (25.0,46.5)
42.68 (31.3,58.2)
61.00 (44.9,82.8)
Coastal/Inland Region








Pacific
8.02 (5.9,13.6)
1.08(0.5,2.3)
3.57 (2.0,6.4)
11.07 (5.5,22.4)
25.25 (14.2,44.8)
39.68 (21.5,73.1)
45.44 (28.4,72.8)
63.40 (36.3,110.9)
Atlantic
8.42 (5.6,11.5)
1.48(0.9,2.4)
4.47 (2.9,6.9)
10.36 (6.6,16.3)
20.15 (14.1,28.7)
28.71 (20.5,40.2)
34.54 (24.5,48.8)
47.62 (33.2,68.2)
Gulf of Mexico
10.19 (4.0,37.7)
1.99 (0.5,8.2)
6.18(1.5,25.3)
15.86 (4.2,59.8)
30.52 (10.4,89.6)
44.50 (16.7,118.8)
55.12 (23.0,131.9)
88.07 (29.5,262.8)
Great Lakes
7.74(3.5,13.1)
1.01 (0.5,2.0)
2.93 (1.8,4.8)
7.82 (4.0,15.4)
16.90 (6.7,42.6)
27.27 (12.8,58.1)
33.61 (15.3,73.8)
51.27 (23.5,111.7)
Inland Northeast
9.51 (5.1,24.4)
1.06 (0.5,2.2)
3.85 (2.3,6.5)
10.05 (6.2,16.2)
27.09 (13.2,55.7)
50.62 (13.0,197.4)
71.06 (13.2,381.8)
123.84 (12.9,1190.3)
Inland Midwest
4.52 (3.0,9.7)
0.86 (0.3,2.2)
2.53 (1.1,5.9)
7.17 (3.1,16.4)
13.19 (8.0,21.8)
18.98 (11.8,30.6)
24.27 (14.4,40.9)
37.96 (20.2,71.5)
Inland South
6.08(4.2,9.6)
1.08(0.6,1.8)
3.24(2.0,5.2)
8.33 (5.3,13.1)
16.23 (10.5,25.2)
23.40 (14.8,36.9)
28.30 (18.3,43.7)
38.83 (26.2,57.6)
Inland West
8.46 (4.1,26.7)
2.07 (0.6,7.2)
6.61 (1.6,27.7)
14.31 (5.1,40.0)
25.47 (10.6,61.3)
33.66 (15.1,75.0)
41.02 (18.5,90.9)
52.07 (24.9,108.7)
C-54

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Table C-28. Trophic level 2 fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean
95% CI)
25th
50th
75th
90
th
95th
97th
99th
Total
3.83
2.7,5.4)
0.52 (0.3,0.9)
1.71 (1.1,2.6)
4.54(3.2,6.5)
9.85 (7.0,13.8)
14.70 (10.1,21.4)
18.63 (12.2,28.5)
28.56 (17.2,47.4)
vjciiuci
Female
3.28
2.4,4.5)
0.46
0.2,0.9)
1.49
0.9,2.4)
3.94(2.7,5.7)
8.35 (6.0,11.7)
12.50 (8.9,17.5)
15.72 (10.9,22.6)
23.65 (15.0,37.2)
Male
A np
4.50
3.0,6.7)
0.62
0.4,1.1)
2.02
1.3,3.1)
5.34(3.5,8.1)
11.70 (7.9,17.4)
17.26 (11.0,27.2)
22.23 (14.2,34.8)
33.27 (19.2,57.5)
age
1 to <3 yrs
0.96
0.5,1.9)
0.10
0.0,0.4)
0.29
0.1,0.8)
0.88(0.4,2.1)
2.26 (1.1,4.5)
3.95 (2.0,7.9)
5.87 (2.6,13.1)
10.97 (4.9,24.8)
3 to <6 yrs
1.52
0.9,2.6)
0.21
0.1,0.7)
0.64
0.2,1.7)
1.72 (0.8,3.6)
3.76 (2.2,6.5)
5.59 (3.5,8.9)
7.55 (4.8,12.0)
13.19 (7.7,22.5)
6 to <11 yrs
1.40
0.7,2.7)
0.17
0.0,0.6)
0.53
0.2,1.7)
1.50 (0.6,3.6)
3.52 (1.7,7.2)
5.50 (3.0,10.0)
7.29 (4.0,13.4)
12.80 (6.2,26.4)
11 to <16 yrs
1.83
0.5,7.4)
0.14
0.1,0.3)
0.56
0.2,1.3)
1.83 (0.7,4.9)
4.55 (1.2,17.2)
7.48(1.4,38.8)
10.01 (1.5,67.6)
17.62 (2.3,135.5)
16 to <18 yrs
1.90
1.1,3.3)
0.26
0.1,0.6)
0.80
0.4,1.7)
2.12 (1.1,4.1)
4.45 (2.2,9.0)
7.40 (4.0,13.6)
9.65 (5.2,17.9)
17.12 (9.3,31.6)
18 to <21 yrs
3.25
1.5,6.9)
0.35
0.1,1.0)
1.21
0.5,3.1)
3.47 (1.6,7.3)
8.26
4.0,16.9)
14.10 (5.8,34.3)
18.30 (7.7,43.4)
28.18 (12.3,64.7)
21 to <35 yrs
4.11
3.0,5.7)
0.74
0.4,1.5)
2.11
1.3,3.5)
5.06 (3.5,7.3)
10.29
7.3,14.5)
14.36 (10.0,20.7)
17.93 (11.9,27.1)
27.79 (17.8,43.4)
35 to <50 yrs
5.19
3.5,7.8)
0.99
0.5,1.9)
2.65
1.6,4.4)
6.11 (4.0,9.2)
12.58
7.9,20.0)
18.43 (10.8,31.6)
23.72 (13.6,41.5)
40.70 (24.5,67.7)
50 to <65 yrs
4.97
3.1,8.1)
1.18
0.7,2.1)
2.95
1.8,4.9)
6.49 (4.1,10.3)
12.15
7.7,19.3)
16.60 (9.7,28.4)
20.51 (11.9,35.4)
28.99 (15.4,54.7)
65+ yrs
1 nrn m o
4.02
2.7,5.9)
0.58
0.2,1.3)
1.72
0.9,3.3)
4.76 (3.0,7.4)
10.73
7.5,15.3)
16.36 (11.4,23.5)
20.25 (13.9,29.6)
28.91 (19.0,43.9)
1 IllUIIlc
<$20,000
3.02
2.0,4.5)
0.37
0.2,0.7)
1.25
0.8,2.0)
3.41 (2.2,5.3)
7.57
4.9,11.6)
11.73 (7.6,18.1)
15.03 (9.2,24.5)
24.41 (15.0,39.7)
>$20,000
3.95
2.8,5.6)
0.56
0.3,1.0)
1.79
1.2,2.8)
4.73 (3.3,6.9)
10.13
7.0,14.6)
15.09 (10.2,22.4)
19.03 (12.2,29.7)
29.26 (17.6,48.7)
Income unknown
4.76
2.6,8.7)
0.68
0.2,2.9)
2.32
0.7,7.3)
6.18(2.7,14.0)
12.63
6.6,24.1)
17.52 (10.4,29.5)
21.20 (12.1,37.2)
28.07 (13.1,60.1)
Income, finer detail












<$20,000
3.02
2.0,4.5)
0.37
0.2,0.7)
1.25
0.8,2.0)
3.41 (2.2,5.3)
7.57
4.9,11.6)
11.73 (7.6,18.1)
15.03 (9.2,24.5)
24.41 (15.0,39.7)
$20k-$45k
3.65
2.6,5.2)
0.50
0.2,1.0)
1.60
0.9,2.8)
4.30 (2.8,6.6)
9.32
6.5,13.4)
14.12 (10.0,20.0)
18.17 (13.0,25.4)
27.59 (18.9,40.2)
$45k-$75k
3.80
2.5,5.8)
0.52
0.3,1.0)
1.71
1.0,2.9)
4.56 (2.9,7.2)
9.86
6.4,15.2)
14.33 (9.1,22.6)
17.83 (10.8,29.5)
27.74 (16.4,47.0)
$75k+
4.31
2.6,7.1)
0.64
0.4,1.1)
1.99
1.2,3.2)
5.16 (3.1,8.6)
11.15
6.8,18.2)
16.27 (9.3,28.6)
20.64 (11.3,37.7)
31.81 (17.1,59.1)
>$20,000
4.04
2.1,7.8)
0.70
0.3,1.6)
2.14
1.0,4.8)
4.96 (2.5,9.7)
9.61
4.9,19.0)
14.64 (7.3,29.4)
19.29 (9.5,39.2)
29.75 (14.2,62.2)
Inc Ref/DK
5.50
3.1,9.8)
0.88
0.3,2.9)
2.90
1.1,7.6)
7.54(3.3,17.0)
14.01
7.9,25.0)
19.21 (11.1,33.4)
22.15 (11.0,44.8)
28.50 (10.2,79.7)
Inc missing
3.33 (0.9,13.1)
0.44
0.0,3.9)
1.42
0.2,8.5)
4.41 (0.8,24.4)
8.10
2.3,28.4)
12.64 (3.6,44.5)
16.51 (4.4,62.4)
23.76 (8.0,70.3)
Race/Ethnicity












Mexican American
4.52
2.9,7.0)
0.59
0.3,1.1)
2.01
1.2,3.3)
5.42 (3.6,8.2)
11.56
7.3,18.2)
17.60 (11.0,28.3)
22.21 (13.0,37.8)
34.15 (18.4,63.4)
Other Hispanic
4.84
3.1,7.6)
0.40
0.2,0.8)
1.62
1.0,2.6)
5.18(3.3,8.1)
13.29
7.8,22.7)
21.22 (11.9,37.7)
27.23 (15.7,47.4)
41.98 (24.2,72.9)
White
3.43
2.3,5.2)
0.49
0.3,0.9)
1.55
1.0,2.5)
4.08(2.7,6.2)
8.78
5.7,13.4)
13.35 (8.6,20.7)
16.69 (9.9,28.1)
24.94 (12.9,48.1)
Black
3.62
2.4,5.4)
0.60
0.4,1.0)
1.87
1.2,2.8)
4.62 (3.2,6.7)
9.24
6.3,13.6)
13.15 (8.5,20.4)
15.65 (8.6,28.5)
22.77 (11.1,46.8)
Other race
6.70 (3.3,13.4)
0.96
0.4,2.6)
3.21
1.2,8.3)
8.32 (3.5,20.0)
16.34
8.6,31.1)
24.94 (12.7,49.0)
32.00 (17.0,60.1)
52.97 (25.2,111.5)
C-55

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Table C-28. Trophic level 2 fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.04 (1.0,4.0)
0.29 (0.1,0.6)
0.91 (0.5,1.6)
2.31 (1.2,4.4)
4.82 (2.3,10.3)
7.34(3.1,17.1)
9.43 (3.7,24.3)
16.92 (6.9,41.5)
Northeast
5.70 (3.9,8.3)
0.73 (0.4,1.3)
2.69 (1.8,4.1)
7.11 (4.9,10.3)
14.55 (9.9,21.5)
21.20 (13.8,32.7)
26.14 (15.6,43.8)
42.03 (25.5,69.2)
South
4.24(2.9,6.2)
0.71 (0.3,1.7)
2.20 (1.1,4.2)
5.27 (3.4,8.1)
10.54 (7.2,15.4)
15.25 (10.3,22.6)
18.90 (12.2,29.2)
28.16 (17.1,46.4)
West
3.91 (2.6,6.0)
0.58(0.3,1.1)
1.81 (1.1,3.0)
4.76 (3.1,7.4)
10.30 (6.6,16.1)
14.80 (9.5,23.1)
18.72 (11.8,29.7)
27.76 (17.2,44.7)
Coastal Status








Noncoastal
3.26 (2.3,4.7)
0.44(0.2,0.8)
1.39 (0.9,2.1)
3.67 (2.5,5.3)
8.07 (5.5,11.8)
12.67 (8.5,18.8)
16.46 (10.6,25.5)
26.56 (16.1,43.9)
Coastal
4.74(3.1,7.4)
0.73 (0.4,1.4)
2.40 (1.4,4.1)
6.06 (3.8,9.6)
12.16 (7.8,18.9)
17.07 (10.2,28.6)
21.19 (12.2,36.9)
31.20 (17.0,57.2)
Coastal/Inland Region








Pacific
4.64(2.9,7.4)
0.77 (0.3,1.8)
2.47 (1.2,4.9)
6.14(3.5,10.8)
11.96 (7.3,19.6)
16.40 (10.4,25.9)
20.16 (12.4,32.7)
28.99 (16.7,50.3)
Atlantic
4.54(1.9,10.7)
0.79 (0.4,1.8)
2.54(1.2,5.4)
5.97 (2.6,13.6)
11.57 (4.9,27.1)
16.08 (6.4,40.7)
19.06 (6.7,54.2)
27.64 (9.9,76.8)
Gulf of Mexico
7.24 (4.2,12.6)
1.34(0.3,5.5)
4.03 (1.4,11.3)
9.66 (4.6,20.3)
17.27 (10.6,28.1)
24.11 (15.4,37.7)
29.05 (18.7,45.2)
47.61 (29.4,77.2)
Great Lakes
3.04(1.6,5.9)
0.34 (0.2,0.8)
1.08(0.4,2.7)
3.01 (1.3,6.8)
6.81 (3.0,15.3)
11.46 (5.4,24.3)
16.37 (7.7,34.7)
36.74 (15.1,89.4)
Inland Northeast
6.31 (3.7,10.6)
0.66 (0.4,1.2)
2.65 (1.7,4.2)
7.84 (4.5,13.8)
16.18 (9.1,28.7)
24.63 (13.2,46.1)
31.46 (16.4,60.3)
47.28 (24.1,92.7)
Inland Midwest
1.76 (0.9,3.4)
0.28(0.1,0.7)
0.87 (0.5,1.7)
2.17 (1.2,4.0)
4.34(2.1,8.8)
6.47 (3.0,13.8)
8.10 (3.5,18.6)
13.04 (5.6,30.2)
Inland South
3.41 (2.2,5.2)
0.60 (0.2,1.8)
1.86 (0.8,4.4)
4.33 (2.6,7.3)
8.26 (5.8,11.8)
12.07 (8.5,17.1)
15.09 (10.5,21.6)
21.40 (13.3,34.5)
Inland West
3.18(1.9,5.4)
0.46 (0.2,0.9)
1.39 (0.8,2.5)
3.50 (1.9,6.3)
8.12 (4.8,13.8)
12.70 (7.5,21.6)
16.20 (9.1,28.8)
26.40 (15.4,45.3)
C-56

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Table C-29. Trophic level 2 fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90
h
95th
97th
99th
All Adults
4.65 (3.3,6.5)
0.87 (0.5,1.4)
2.40 (1.6,3.6)
5.69 (4.0,8.0)
11.56 (8.3,16.2)
16.51 (11.1,24.5)
20.87 (13.8,31.6)
31.79 (20.1,50.4)
vjcllUcl
Female
3.93 (2.9,5.4)
0.74
0.4,1.3)
2.07 (1.3,3.2)
4.84(3.4,6.9)
9.64
6.9,13.4)
13.95 (9.9,19.6)
17.21
11.8,25.1)
25.63 (16.2,40.5)
Male
A np
5.56 (3.7,8.3)
1.07
0.6,1.8)
2.95 (1.9,4.5)
6.96 (4.7,10.3)
13.81
9.2,20.7)
19.84 (12.7,30.9)
24.76
15.5,39.5)
36.83 (21.9,61.9)
age
21 to <35 yrs
4.11 (3.0,5.7)
0.74
0.4,1.5)
2.11 (1.3,3.5)
5.06 (3.5,7.3)
10.29
7.3,14.5)
14.36 (10.0,20.7)
17.93
11.9,27.1)
27.79 (17.8,43.4)
35 to <50 yrs
5.19 (3.5,7.8)
0.99
0.5,1.9)
2.65 (1.6,4.4)
6.11 (4.0,9.2)
12.58
7.9,20.0)
18.43 (10.8,31.6)
23.72
13.6,41.5)
40.70 (24.5,67.7)
50 to <65 yrs
4.97 (3.1,8.1)
1.18
0.7,2.1)
2.95 (1.8,4.9)
6.49 (4.1,10.3)
12.15
7.7,19.3)
16.60 (9.7,28.4)
20.51
11.9,35.4)
28.99 (15.4,54.7)
65+ yrs
4.02 (2.7,5.9)
0.58
0.2,1.3)
1.72 (0.9,3.3)
4.76 (3.0,7.4)
10.73
7.5,15.3)
16.36 (11.4,23.5)
20.25
13.9,29.6)
28.91 (19.0,43.9)
WCA (13-49 years)
3.56 (2.6,4.9)
0.56
0.3,1.2)
1.69 (1.0,2.9)
4.28(2.9,6.4)
8.87
6.3,12.4)
13.18 (9.3,18.7)
16.53
11.2,24.5)
25.53 (15.9,41.1)
1 IllUlllc
<$20,000
3.66 (2.4,5.5)
0.58
0.3,1.1)
1.75 (1.1,2.9)
4.21 (2.6,6.9)
8.89
5.7,14.0)
13.35 (8.3,21.4)
16.96
10.1,28.5)
28.02 (18.4,42.6)
>$20,000
4.79 (3.4,6.8)
0.93
0.6,1.5)
2.52 (1.7,3.8)
5.88 (4.1,8.4)
11.89
8.4,16.9)
16.92 (11.2,25.5)
21.33
13.9,32.6)
32.50 (20.3,51.9)
Income unknown
5.52 (3.1,9.8)
1.11
0.3,4.1)
3.37 (1.1,10.8)
7.25 (3.6,14.4)
13.88
7.7,25.2)
18.62 (10.7,32.3)
21.86
11.8,40.7)
29.54 (13.4,64.9)
Income, finer detail











<$20,000
3.66 (2.4,5.5)
0.58
0.3,1.1)
1.75 (1.1,2.9)
4.21 (2.6,6.9)
8.89
5.7,14.0)
13.35 (8.3,21.4)
16.96
10.1,28.5)
28.02 (18.4,42.6)
$20k-$45k
4.41 (3.1,6.2)
0.79
0.4,1.4)
2.22 (1.3,3.7)
5.32 (3.6,7.9)
10.95
7.7,15.6)
15.94 (11.4,22.3)
20.52
14.6,28.9)
30.26 (20.5,44.7)
$45k-$75k
4.61 (3.0,7.0)
0.86
0.5,1.6)
2.42 (1.4,4.1)
5.73 (3.6,9.1)
11.21
7.3,17.3)
16.05 (10.2,25.4)
19.88
12.2,32.5)
30.88 (18.7,51.0)
$75k+
5.25 (3.2,8.6)
1.10
0.6,1.9)
2.82 (1.7,4.6)
6.53 (4.0,10.6)
12.94
8.0,21.0)
18.22 (10.3,32.3)
22.88
12.6,41.5)
35.24 (20.1,61.8)
>$20,000
4.66 (2.4,9.0)
0.93
0.4,2.1)
2.58(1.3,5.3)
5.59 (2.8,11.0)
11.34
5.7,22.7)
17.15 (8.5,34.7)
21.99
10.1,48.0)
31.47 (14.9,66.6)
Inc Ref/DK
6.16 (3.5,10.8)
1.34
0.5,3.7)
3.83 (1.5,9.8)
8.74(4.0,19.1)
15.37
8.5,27.9)
20.83 (11.6,37.5)
22.15 (9.9,49.4)
28.50 (9.4,86.6)
Inc missing
4.07 (1.0,16.3)
0.75
0.1,7.3)
2.32 (0.3,16.6)
5.42 (1.1,27.5)
8.57
2.8,25.8)
14.07 (3.9,50.7)
17.52 (5.1,60.3)
31.15 (6.4,151.5)
Race/Ethnicity











Mexican American
6.25 (4.1,9.5)
1.32
0.7,2.4)
3.53 (2.2,5.6)
7.78(5.1,11.9)
15.01
9.6,23.5)
21.32 (12.9,35.3)
26.65 (15.6,45.4)
40.14 (22.3,72.2)
Other Hispanic
6.75 (4.0,11.3)
1.04
0.5,2.4)
3.16 (1.7,5.7)
7.78(4.7,12.9)
17.45
9.8,31.0)
25.76 (14.5,45.8)
33.70 (18.7,60.8)
47.87 (26.0,88.2)
White
4.06 (2.7,6.2)
0.77
0.5,1.3)
2.10 (1.4,3.2)
4.96 (3.3,7.5)
10.20
6.7,15.4)
14.87 (9.5,23.3)
18.19 (10.6,31.2)
26.70 (13.9,51.4)
Black
4.56 (3.2,6.5)
1.01
0.6,1.7)
2.70 (1.8,4.1)
6.07 (4.3,8.5)
10.94
7.6,15.7)
14.75 (9.2,23.7)
18.20 (11.2,29.5)
26.03 (14.8,45.7)
Other race
7.79 (4.1,14.8)
1.59
0.6,4.2)
4.21 (1.8,9.7)
9.68(4.5,20.6)
17.95 (10.2,31.5)
27.23 (14.8,50.0)
36.64 (18.2,73.7)
57.07 (26.7,122.0)
C-57

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Table C-29. Trophic level 2 fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.29 (1.2,4.3)
0.46 (0.2,0.9)
1.18(0.6,2.2)
2.67 (1.4,5.2)
5.24(2.5,11.1)
7.69 (3.5,17.1)
9.80 (4.3,22.3)
16.74 (8.2,34.1)
Northeast
7.16 (4.9,10.5)
1.55 (0.9,2.7)
4.00 (2.6,6.1)
9.29 (6.4,13.5)
16.85 (10.8,26.3)
23.80 (14.4,39.3)
30.18 (18.3,49.8)
45.42 (26.1,79.1)
South
5.22 (3.6,7.6)
1.24(0.5,2.9)
3.11 (1.7,5.7)
6.66 (4.4,10.1)
12.32 (8.4,18.0)
17.42 (11.7,25.9)
21.29 (13.7,33.1)
30.46 (17.6,52.9)
West
4.64(3.1,7.0)
0.92 (0.5,1.6)
2.52 (1.5,4.1)
5.98(3.9,9.3)
11.63 (7.6,17.9)
16.00 (10.1,25.3)
20.16 (12.8,31.9)
29.52 (18.4,47.5)
Coastal Status








Noncoastal
4.00 (2.7,5.8)
0.71 (0.4,1.2)
1.94(1.3,2.9)
4.60 (3.1,6.8)
9.75 (6.7,14.3)
14.62 (9.4,22.7)
18.88 (11.9,30.0)
30.44 (18.3,50.5)
Coastal
5.66 (3.7,8.6)
1.28(0.7,2.4)
3.32 (2.0,5.5)
7.42 (4.8,11.5)
13.66 (8.8,21.2)
18.65 (11.2,31.0)
23.08 (13.8,38.5)
33.89 (20.4,56.3)
Coastal/Inland Region








Pacific
5.31 (3.3,8.5)
1.34(0.6,3.2)
3.27 (1.7,6.4)
7.20 (4.1,12.6)
12.73 (8.0,20.2)
17.05 (10.5,27.7)
20.42 (12.1,34.4)
29.10 (16.4,51.8)
Atlantic
5.53 (2.5,12.3)
1.49 (0.7,3.1)
3.55 (1.7,7.2)
7.31 (3.3,16.0)
13.19 (5.8,30.0)
17.58 (7.0,44.3)
21.29 (8.2,55.3)
28.51 (9.6,84.6)
Gulf of Mexico
9.32 (5.5,15.7)
2.72 (0.8,9.1)
6.37 (2.5,16.2)
12.19 (6.5,22.8)
20.53 (12.9,32.6)
27.79 (18.0,42.9)
35.13 (22.5,55.0)
53.49 (31.8,89.9)
Great Lakes
3.24(1.8,5.7)
0.51 (0.2,1.5)
1.35 (0.5,3.7)
3.39 (1.6,7.3)
6.92 (3.3,14.5)
11.08 (5.9,20.7)
15.76 (8.6,28.7)
40.29 (8.8,184.6)
Inland Northeast
8.10 (4.5,14.7)
1.46 (0.8,2.8)
4.22 (2.3,7.8)
10.42 (5.3,20.6)
19.99 (10.4,38.6)
28.50 (14.8,54.8)
36.43 (18.1,73.5)
51.65 (25.8,103.5)
Inland Midwest
2.05 (1.0,4.0)
0.45 (0.2,0.8)
1.14(0.6,2.1)
2.56 (1.3,4.9)
4.83 (2.3,10.1)
6.97 (3.1,15.6)
8.58(3.6,20.4)
13.55 (5.7,32.2)
Inland South
4.14(2.8,6.2)
1.00 (0.4,2.6)
2.52 (1.2,5.2)
5.25 (3.3,8.3)
9.71 (6.8,13.9)
13.75 (9.6,19.7)
17.00 (11.7,24.6)
24.23 (15.4,38.1)
Inland West
3.91 (2.4,6.4)
0.70 (0.4,1.4)
1.83 (1.0,3.4)
4.42 (2.5,7.7)
10.14 (6.2,16.6)
14.59 (8.5,25.1)
18.88 (10.9,32.7)
29.52 (17.6,49.5)
C-58

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Table C-30. Trophic level 2 fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean
95% CI)
2E
.th
5C
Ith
75th
90th
95
th
97
th
99th
All Youth
1.81
1.1,2.9)
0.19 (0.1,0.5)
0.61 (0.3,1.2)
1.84(1.1,3.1)
4.48(2.9,6.9)
7.44 (4.6,11.9)
10.26 (6.1,17.1)
17.91 (9.1,35.3)
vjcllUcl
Female
1.50
1.0,2.3)
0.15
0.1,0.4)
0.50
0.2,1.0)
1.54(0.9,2.7)
3.89 (2.4,6.3)
6.28(4.1,9.7)
8.32
5.2,13.3)
14.15 (7.7,26.1)
Male
A np
2.13
1.3,3.5)
0.23
0.1,0.6)
0.74
0.4,1.4)
2.16 (1.3,3.5)
5.14(3.1,8.4)
8.63 (5.0,15.0)
12.43
7.1,21.8)
20.51 (9.1,46.2)
age
1 to <3 yrs
0.96
0.5,1.9)
0.10
0.0,0.4)
0.29
0.1,0.8)
0.88(0.4,2.1)
2.26 (1.1,4.5)
3.95 (2.0,7.9)
5.87
2.6,13.1)
10.97 (4.9,24.8)
3 to <6 yrs
1.52
0.9,2.6)
0.21
0.1,0.7)
0.64
0.2,1.7)
1.72 (0.8,3.6)
3.76 (2.2,6.5)
5.59 (3.5,8.9)
7.55
4.8,12.0)
13.19 (7.7,22.5)
6 to <11 yrs
1.40
0.7,2.7)
0.17
0.0,0.6)
0.53
0.2,1.7)
1.50 (0.6,3.6)
3.52 (1.7,7.2)
5.50
3.0,10.0)
7.29
4.0,13.4)
12.80 (6.2,26.4)
11 to <16 yrs
1.83
0.5,7.4)
0.14
0.1,0.3)
0.56
0.2,1.3)
1.83 (0.7,4.9)
4.55 (1.2,17.2)
7.48
1.4,38.8)
10.01
1.5,67.6)
17.62 (2.3,135.5)
16 to <18 yrs
1.90
1.1,3.3)
0.26
0.1,0.6)
0.80
0.4,1.7)
2.12 (1.1,4.1)
4.45 (2.2,9.0)
7.40
4.0,13.6)
9.65
5.2,17.9)
17.12 (9.3,31.6)
18 to <21 yrs
1 nrniYlQ
3.25
1.5,6.9)
0.35
0.1,1.0)
1.21
0.5,3.1)
3.47 (1.6,7.3)
8.26 (4.0,16.9)
14.10
5.8,34.3)
18.30
7.7,43.4)
28.18 (12.3,64.7)
1 IllUIIlC
<$20,000
1.68
1.1,2.6)
0.19
0.1,0.4)
0.58
0.3,1.0)
1.72 (1.1,2.6)
4.11 (2.7,6.3)
6.99
4.5,10.8)
9.36
5.8,15.1)
16.84 (10.1,28.1)
>$20,000
1.79
1.1,3.0)
0.18
0.1,0.5)
0.61
0.3,1.3)
1.83 (1.1,3.2)
4.42 (2.8,7.1)
7.27
4.3,12.4)
9.87
5.3,18.3)
17.77 (8.3,38.1)
Income unknown
3.03
1.1,8.3)
0.23
0.1,0.8)
0.81
0.2,2.9)
3.11 (0.7,13.5)
8.93 (2.0,40.1)
13.59
4.4,42.2)
16.69
6.6,42.0)
27.64 (11.7,65.1)
Income, finer detail













<$20,000
1.68
1.1,2.6)
0.19
0.1,0.4)
0.58
0.3,1.0)
1.72 (1.1,2.6)
4.11 (2.7,6.3)
6.99
4.5,10.8)
9.36
5.8,15.1)
16.84 (10.1,28.1)
$20k-$45k
1.74
1.1,2.8)
0.20
0.1,0.6)
0.61
0.3,1.4)
1.85 (0.9,3.8)
4.38(2.6,7.4)
7.23
4.5,11.7)
9.40
6.1,14.5)
15.80 (10.0,25.1)
$45k-$75k
1.54
0.8,3.0)
0.16
0.1,0.4)
0.56
0.2,1.3)
1.58(0.9,2.9)
3.67 (1.8,7.6)
5.87
2.4,14.3)
7.95
3.1,20.6)
14.64 (5.8,37.0)
$75k+
1.97
1.0,3.8)
0.19
0.1,0.5)
0.62
0.3,1.2)
1.93 (1.1,3.4)
4.80 (2.6,8.7)
8.14
3.9,16.8)
12.06
5.6,25.8)
21.22 (8.3,54.4)
>$20,000
2.05
1.0,4.3)
0.31
0.1,1.3)
0.90
0.4,2.2)
2.62 (0.9,7.4)
5.61 (2.0,15.4)
8.05
3.3,19.7)
8.96
3.7,21.7)
14.03 (5.2,37.9)
Inc Ref/DK
3.71 (1.3,10.8)
0.28
0.1,0.9)
1.11
0.3,4.5)
3.92 (0.9,17.5)
12.16 (2.0,72.6)
14.10
5.4,36.8)
17.33
6.5,46.1)
28.07 (9.4,83.7)
Inc missing
2.08(0.4,10.2)
0.16
0.0,0.9)
0.69
0.1,6.8)
2.16 (0.3,16.6)
6.48(0.7,62.2)
8.92
1.7,46.9)
12.27
2.5,61.2)
18.59 (4.6,75.0)
Race/Ethnicity













Mexican American
1.87 (1.0,3.5)
0.24
0.1,0.5)
0.72
0.4,1.3)
2.04(1.2,3.4)
4.67 (2.7,8.1)
7.33
3.8,14.2)
9.51
4.1,21.8)
16.62 (6.0,46.3)
Other Hispanic
1.39 (0.6,3.3)
0.13
0.0,0.4)
0.45
0.2,1.2)
1.17 (0.3,4.3)
3.26 (1.1,9.7)
6.40
2.9,14.0)
9.50
4.9,18.4)
15.17 (7.5,30.7)
White
1.55 (0.8,2.9)
0.15
0.0,0.5)
0.51
0.2,1.4)
1.58(0.7,3.4)
3.88(2.1,7.2)
6.52
3.5,12.0)
8.61
4.3,17.3)
15.25 (5.8,40.2)
Black
1.74(0.7,4.0)
0.27
0.2,0.5)
0.78
0.5,1.3)
2.09 (1.3,3.4)
4.34(2.1,9.1)
6.59
2.5,17.1)
8.28
2.5,27.1)
13.21 (2.8,61.8)
Other race
4.38(1.5,12.6)
0.33
0.1,0.8)
1.39
0.5,4.0)
4.55 (1.5,13.7)
12.77 (3.1,52.8)
19.30
5.8,64.0)
25.12
7.7,82.2)
36.90 (15.2,89.8)
C-59

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Table C-30. Trophic level 2 fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.41 (0.4,4.4)
0.10 (0.0,0.3)
0.34(0.1,0.9)
1.18(0.5,2.7)
3.33 (1.2,9.0)
5.94(1.6,21.9)
8.53 (1.9,38.1)
18.00 (4.0,81.5)
Northeast
1.87 (0.9,4.0)
0.20 (0.1,0.5)
0.62 (0.3,1.4)
1.88(0.9,4.0)
4.80 (2.4,9.8)
7.98(3.9,16.3)
11.74 (6.0,23.1)
16.30 (5.3,50.1)
South
1.74 (1.1,2.9)
0.25 (0.1,0.7)
0.73 (0.3,1.6)
2.04(1.0,4.0)
4.40 (2.6,7.4)
6.76 (4.2,10.9)
8.49 (5.0,14.4)
14.47 (8.3,25.2)
West
2.24(1.0,4.8)
0.22 (0.1,0.7)
0.75 (0.3,2.0)
2.23 (1.0,5.1)
5.44(2.7,11.1)
9.55 (4.2,21.5)
14.26 (5.3,38.4)
22.52 (9.6,52.9)
Coastal Status








Noncoastal
1.42 (0.9,2.3)
0.16 (0.1,0.4)
0.52 (0.2,1.2)
1.58(0.8,3.0)
3.58(2.2,5.8)
5.78(3.6,9.2)
7.69 (4.8,12.3)
12.86 (7.8,21.3)
Coastal
2.43 (1.3,4.7)
0.24(0.1,0.5)
0.77 (0.4,1.4)
2.39 (1.4,4.2)
6.07 (3.2,11.5)
10.32 (4.9,21.7)
14.64 (6.9,30.9)
24.18 (9.3,63.0)
Coastal/Inland Region








Pacific
2.87 (1.0,7.9)
0.24(0.1,0.7)
0.81 (0.3,2.1)
2.64(1.1,6.4)
7.49 (2.7,20.9)
14.50 (3.7,57.4)
19.13 (5.1,71.2)
28.39 (9.0,89.4)
Atlantic
1.88(0.6,6.1)
0.24(0.1,0.5)
0.71 (0.3,1.7)
2.00 (0.8,5.1)
4.61 (1.4,15.6)
7.54(2.0,29.1)
10.60 (2.8,40.2)
15.43 (2.7,87.0)
Gulf of Mexico
2.67 (1.1,6.6)
0.41 (0.1,1.9)
1.23 (0.3,5.2)
3.26 (0.9,11.3)
6.89 (2.6,18.6)
9.76 (4.6,20.7)
13.21 (6.6,26.3)
18.48 (10.2,33.5)
Great Lakes
2.62 (0.7,9.9)
0.15 (0.1,0.4)
0.52 (0.2,1.2)
1.94(0.6,6.6)
6.53 (1.5,28.9)
11.70 (2.2,62.7)
18.31 (4.2,79.6)
29.49 (6.0,145.8)
Inland Northeast
1.55 (0.7,3.6)
0.16 (0.0,0.6)
0.50 (0.1,1.8)
1.51 (0.5,4.7)
4.27 (1.9,9.4)
6.61 (3.1,14.2)
9.36 (4.7,18.7)
13.18 (5.8,30.0)
Inland Midwest
1.02 (0.4,2.5)
0.09 (0.0,0.5)
0.30 (0.1,1.3)
1.02 (0.3,3.6)
2.57 (1.0,6.6)
4.30 (1.7,11.2)
5.94(2.2,16.2)
11.00 (4.1,29.2)
Inland South
1.54(0.8,3.2)
0.23 (0.1,0.9)
0.66 (0.2,2.0)
1.88(0.7,5.3)
3.91 (1.9,8.0)
5.97 (3.1,11.6)
7.61 (4.2,13.6)
11.48 (6.7,19.5)
Inland West
1.72 (0.8,3.8)
0.21 (0.1,0.7)
0.71 (0.2,2.3)
1.96 (0.7,5.2)
4.08(1.9,8.9)
6.86 (3.2,14.7)
9.44(4.3,20.6)
15.51 (6.8,35.2)
C-60

-------
Table C-31. Trophic level 3 fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
fiPnHor
6.15 (4.7,8.0)
1.25 (0.7,2.1)
3.72 (2.5,5.6)
8.20 (6.2,10.9)
15.04 (11.6,19.4)
20.64 (15.9,26.8)
24.93 (19.2,32.4)
34.70 (25.6,47.1)
VJCllUCl
Female
5.26 (4.0,6.9)
1.09
0.6,1.8)
3.26 (2.1,5.0)
7.00 (5.2,9.5)
12.72 (9.7,16.7)
17.95 (13.7,23.5)
21.60 (16.4,28.4)
28.72
20.4,40.4)
Male
A np
7.22 (5.5,9.5)
1.50
0.9,2.6)
4.47 (2.9,6.9)
9.78(7.2,13.3)
17.38 (13.3,22.6)
23.55 (18.1,30.6)
28.52 (21.7,37.5)
39.96
29.3,54.6)
age
1 to <3 yrs
1.80 (1.0,3.1)
0.22
0.1,0.4)
0.69 (0.4,1.1)
1.78(1.2,2.7)
3.89 (2.5,6.1)
6.48(3.7,11.4)
9.58(4.5,20.4)
22.70
5.1,100.7)
3 to <6 yrs
2.18 (1.5,3.1)
0.35
0.1,0.9)
1.08(0.5,2.6)
2.85 (1.7,4.8)
5.58(4.0,7.9)
7.82 (5.6,11.0)
10.11 (7.3,13.9)
14.1;
(9.6,20.7)
6 to <11 yrs
3.44(2.1,5.7)
0.48
0.3,0.9)
1.42 (0.8,2.4)
4.24(2.2,8.1)
8.76 (5.2,14.8)
13.37 (7.9,22.7)
17.56 (10.3,29.8)
27.25
15.4,48.1)
11 to <16 yrs
2.88(1.8,4.6)
0.49
0.2,1.1)
1.35 (0.7,2.7)
3.53 (2.1,6.1)
7.58(4.7,12.3)
10.81 (6.7,17.4)
13.57 (8.4,22.0)
19.50
10.7,35.7)
16 to <18 yrs
2.90 (1.9,4.5)
0.31
0.1,0.8)
0.92 (0.4,2.2)
2.71 (1.3,5.5)
6.90 (4.1,11.5)
12.64 (7.7,20.8)
18.57 (9.5,36.4)
29.57
14.2,61.5)
18 to <21 yrs
4.78(2.9,7.9)
0.75
0.4,1.6)
2.38 (1.1,4.9)
6.11 (3.3,11.4)
12.25 (7.1,21.1)
17.30
10.8,27.7)
21.62 (13.6,34.4)
31.85
19.5,51.9)
21 to <35 yrs
7.04 (4.8,10.3)
1.83
0.8,4.2)
4.43 (2.5,7.9)
9.11 (5.9,14.1)
16.46 (11.3,24.0)
23.04
16.0,33.3)
27.79 (20.0,38.6)
39.30
27.5,56.1)
35 to <50 yrs
6.88 (4.9,9.8)
2.12
1.4,3.3)
4.78(3.4,6.8)
8.99 (6.0,13.4)
15.83 (11.1,22.7)
20.81
13.8,31.4)
25.07 (16.8,37.5)
34.07
22.2,52.2)
50 to <65 yrs
9.31 (6.4,13.4)
3.37
1.8,6.2)
7.01 (4.3,11.3)
12.62 (8.6,18.4)
20.10 (14.1,28.6)
25.43
18.4,35.2)
29.52 (21.2,41.2)
39.79
26.6,59.5)
65+ yrs
1 nrniYto
6.30 (4.5,8.8)
1.94
1.1,3.4)
4.27 (2.8,6.4)
8.35 (6.0,11.7)
14.07 (9.5,20.8)
18.81
12.1,29.2)
23.03 (15.3,34.7)
31.34
19.5,50.3)
1 IllUlllc
<$20,000
5.81 (4.4,7.7)
1.03
0.7,1.6)
3.13 (2.1,4.6)
7.59 (5.6,10.3)
14.78 (11.3,19.4)
20.66
15.6,27.3)
25.03 (18.5,33.8)
34.75
23.3,51.9)
>$20,000
6.14 (4.7,8.1)
1.30
0.7,2.3)
3.79 (2.5,5.8)
8.20 (6.1,11.0)
14.85 (11.4,19.4)
20.35
15.5,26.6)
24.42 (18.6,32.1)
34.07
25.0,46.5)
Income unknown
8.13 (4.0,16.5)
1.66
0.5,5.9)
5.02 (1.7,14.4)
11.21 (4.9,25.4)
20.82 (9.8,44.0)
27.15
15.0,49.1)
30.12 (20.0,45.4)
41.68
27.2,63.8)
Income, finer detail











<$20,000
5.81 (4.4,7.7)
1.03
0.7,1.6)
3.13 (2.1,4.6)
7.59 (5.6,10.3)
14.78 (11.3,19.4)
20.66
15.6,27.3)
25.03 (18.5,33.8)
34.75
23.3,51.9)
$20k-$45k
5.47 (4.1,7.4)
1.14
0.6,2.1)
3.36 (2.0,5.6)
7.34(5.2,10.4)
13.11 (9.9,17.3)
18.15
13.6,24.3)
21.60 (15.9,29.3)
32.15
23.0,45.0)
$45k-$75k
6.27 (4.6,8.6)
1.23
0.7,2.1)
3.77 (2.3,6.1)
8.44(5.9,12.1)
15.41 (11.3,21.1)
20.68
15.5,27.5)
25.28 (18.8,34.1)
33.57
23.6,47.7)
$75k+
6.56 (4.9,8.7)
1.48
0.8,2.6)
4.17 (2.9,6.0)
8.77 (6.4,12.0)
15.96 (11.9,21.4)
21.78
16.2,29.2)
25.85 (19.1,34.9)
36.47
26.0,51.1)
>$20,000
6.54(3.4,12.7)
1.80
0.6,5.9)
4.49 (1.8,11.2)
8.96 (4.5,17.8)
14.21 (8.6,23.6)
19.49
11.4,33.3)
23.63 (13.4,41.7)
32.19
17.5,59.2)
Inc Ref/DK
8.04(3.8,17.1)
1.65
0.5,5.3)
5.07 (1.8,14.3)
11.96 (4.4,32.5)
20.82 (9.0,48.1)
25.66
14.1,46.7)
28.72 (17.2,47.8)
35.74
21.1,60.5)
Inc missing
8.29 (2.9,24.0)
1.71
0.3,9.2)
4.85 (1.2,19.3)
10.28 (3.5,30.6)
21.68 (7.0,67.5)
29.02
10.7,78.4)
36.93 (13.1,104.3)
45.08
21.3,95.6)
Race/Ethnicity











Mexican American
5.80 (4.1,8.3)
0.97
0.6,1.6)
3.16 (2.0,5.0)
7.97 (5.4,11.8)
14.67 (10.3,20.9)
20.30
14.1,29.2)
24.60 (17.1,35.4)
33.65
22.5,50.3)
Other Hispanic
4.94(3.4,7.1)
0.65
0.4,1.2)
2.56 (1.7,3.9)
6.72 (4.5,9.9)
12.54 (8.4,18.8)
18.16
12.1,27.3)
20.70 (13.2,32.4)
30.41
19.7,47.0)
White
5.34 (4.1,7.0)
1.16
0.6,2.1)
3.38 (2.2,5.2)
7.16 (5.3,9.6)
12.77 (9.6,17.0)
17.60
13.3,23.3)
20.91 (15.3,28.6)
28.50
19.5,41.7)
Black
7.39 (5.6,9.7)
2.01
1.4,2.9)
5.27 (3.8,7.3)
10.31 (8.0,13.3)
16.78 (12.3,22.8)
21.83
15.2,31.3)
25.54 (17.0,38.3)
34.11
21.4,54.3)
Other race
13.57 (8.1,22.8)
3.43
1.4,8.3)
10.11 (4.2,24.2)
20.40 (9.7,43.0)
30.79 (19.7,48.1)
38.49
27.3,54.3)
43.53 (30.6,61.9)
55.83
34.9,89.3)
C-61

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Table C-31. Trophic level 3 fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
4.03 (2.8,5.9)
0.84(0.4,1.7)
2.51 (1.4,4.6)
5.38(3.5,8.2)
9.61 (6.7,13.8)
13.08 (9.2,18.7)
15.84 (11.0,22.8)
22.69 (15.1,34.1)
Northeast
6.90 (5.1,9.4)
1.25 (0.8,1.9)
4.25 (3.0,6.1)
9.60 (6.8,13.5)
17.46 (12.3,24.9)
22.95 (16.4,32.1)
26.87 (19.3,37.5)
36.18 (24.6,53.2)
South
6.91 (5.2,9.1)
1.60 (1.0,2.6)
4.57 (2.9,7.1)
9.40 (6.9,12.9)
16.49 (12.5,21.8)
21.87 (16.6,28.8)
25.97 (19.4,34.7)
35.70 (25.5,50.0)
West
6.77 (4.8,9.5)
1.36 (0.8,2.3)
4.01 (2.7,6.1)
8.87 (6.3,12.6)
16.73 (11.7,23.8)
23.08 (16.2,32.8)
27.82 (19.6,39.4)
38.83 (26.8,56.3)
Coastal Status








Noncoastal
5.54(3.9,7.9)
1.10 (0.6,2.0)
3.31 (2.0,5.5)
7.37 (5.1,10.7)
13.45 (9.7,18.7)
18.82 (13.4,26.5)
22.69 (16.2,31.9)
31.46 (22.0,45.0)
Coastal
7.12 (5.4,9.5)
1.57 (1.0,2.4)
4.49 (3.2,6.3)
9.50 (6.9,13.1)
17.18 (12.9,22.9)
23.45 (17.6,31.3)
27.95 (20.4,38.4)
38.27 (26.0,56.3)
Coastal/Inland Region








Pacific
6.66 (4.5,9.8)
1.19 (0.7,2.1)
3.79 (2.3,6.2)
8.42 (5.3,13.5)
16.46 (11.3,24.0)
24.22 (16.8,35.0)
29.41 (20.3,42.5)
41.44 (26.2,65.6)
Atlantic
7.31 (4.5,11.8)
1.91 (1.2,3.1)
5.05 (3.2,8.0)
9.98(6.0,16.7)
16.96 (10.2,28.1)
22.09 (12.8,38.2)
26.20 (15.1,45.5)
36.67 (22.6,59.4)
Gulf of Mexico
9.86 (6.6,14.8)
2.68(0.9,8.0)
7.05 (3.2,15.4)
14.07 (8.5,23.2)
22.73 (15.8,32.8)
28.78 (19.8,41.9)
32.63 (20.3,52.5)
43.51 (23.8,79.6)
Great Lakes
4.88(3.3,7.3)
1.06 (0.6,1.8)
2.97 (1.8,4.8)
6.50 (4.2,10.0)
11.55 (7.5,17.8)
16.23 (10.9,24.2)
19.84 (13.1,30.1)
27.92 (18.1,43.1)
Inland Northeast
6.31 (4.2,9.5)
0.89 (0.4,1.8)
3.34 (2.0,5.6)
8.75 (5.5,13.9)
16.85 (9.8,28.8)
22.19 (13.6,36.2)
26.36 (16.5,42.2)
36.09 (21.9,59.6)
Inland Midwest
3.79 (2.3,6.3)
0.79 (0.3,1.9)
2.40 (1.1,5.4)
5.07 (2.8,9.1)
9.03 (5.6,14.5)
12.31 (8.1,18.8)
14.69 (9.9,21.9)
20.21 (13.3,30.8)
Inland South
6.09 (4.3,8.7)
1.36 (0.8,2.4)
4.03 (2.3,7.0)
8.27 (5.6,12.1)
14.44 (10.3,20.3)
19.46 (13.9,27.3)
23.15 (16.5,32.4)
31.63 (21.8,45.9)
Inland West
6.89 (4.1,11.5)
1.49 (0.7,3.1)
4.24(2.3,7.7)
9.37 (5.4,16.1)
16.91 (9.9,28.8)
22.55 (13.8,36.8)
26.61 (16.5,42.9)
37.56 (22.7,62.1)
C-62

-------
Table C-32. Trophic level 3 fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
^onHoi'
7.40 (5.7,9.6)
2.21 (1.3,3.8)
5.02 (3.5,7.2)
9.82 (7.5,12.9)
17.02 (13.1,22.0)
22.69 (17.4,29.6)
26.67 (20.1,35.3)
37.12 (27.0,51.1)
vjcllUcl
Female
6.25 (4.8,8.2)
1.89 (1.1,3.4)
4.29 (2.9,6.3)
8.26 (6.2,11.0)
14.27 (10.9,18.7)
19.65
14.9,25.9)
23.04 (17.3,30.7)
30.29 (21.1,43.5)
Male
A fTQ
8.86 (6.8,11.6)
2.79 (1.6,4.7)
6.16 (4.3,8.9)
11.84 (8.9,15.7)
19.58 (15.0,25.5)
26.16
20.0,34.3)
31.43 (23.6,41.9)
43.53 (31.2,60.8)
Mge
21 to <35 yrs
7.04 (4.8,10.3)
1.83 (0.8,4.2)
4.43 (2.5,7.9)
9.11 (5.9,14.1)
16.46 (11.3,24.0)
23.04
16.0,33.3)
27.79 (20.0,38.6)
39.30 (27.5,56.1)
35 to <50 yrs
6.88 (4.9,9.8)
2.12 (1.4,3.3)
4.78(3.4,6.8)
8.99 (6.0,13.4)
15.83 (11.1,22.7)
20.81
13.8,31.4)
25.07 (16.8,37.5)
34.07 (22.2,52.2)
50 to <65 yrs
9.31 (6.4,13.4)
3.37 (1.8,6.2)
7.01 (4.3,11.3)
12.62 (8.6,18.4)
20.10 (14.1,28.6)
25.43
18.4,35.2)
29.52 (21.2,41.2)
39.79 (26.6,59.5)
65+ yrs
6.30 (4.5,8.8)
1.94(1.1,3.4)
4.27 (2.8,6.4)
8.35 (6.0,11.7)
14.07 (9.5,20.8)
18.81
12.1,29.2)
23.03 (15.3,34.7)
31.34 (19.5,50.3)
WCA (13-49 years)
5.31 (4.1,6.9)
1.19 (0.7,2.0)
3.36 (2.3,5.0)
6.95 (5.2,9.3)
12.62 (9.6,16.6)
17.94
13.7,23.5)
21.72 (16.5,28.7)
29.33 (20.7,41.5)
1 IllUlllc
<$20,000
6.96 (5.3,9.2)
1.69 (1.1,2.7)
4.37 (3.1,6.2)
9.28(7.0,12.4)
16.75 (12.7,22.1)
22.84
17.0,30.7)
26.79 (18.8,38.2)
36.93 (23.5,58.1)
>$20,000
7.39 (5.6,9.7)
2.30 (1.3,4.0)
5.09 (3.5,7.4)
9.81 (7.4,13.0)
16.86 (12.9,22.0)
22.25
16.9,29.3)
26.46 (19.8,35.3)
36.90 (26.8,50.9)
Income unknown
9.54 (4.8,19.0)
2.79 (0.8,10.3)
6.65 (2.6,17.2)
13.08 (6.2,27.5)
22.73 (11.2,46.0)
27.82
17.0,45.6)
31.39 (21.0,46.9)
43.79 (27.5,69.8)
Income, finer detail









<$20,000
6.96 (5.3,9.2)
1.69 (1.1,2.7)
4.37 (3.1,6.2)
9.28(7.0,12.4)
16.75 (12.7,22.1)
22.84
17.0,30.7)
26.79 (18.8,38.2)
36.93 (23.5,58.1)
$20k-$45k
6.51 (4.8,8.7)
1.89 (1.0,3.5)
4.39 (2.8,6.8)
8.59 (6.3,11.8)
14.88 (11.2,19.8)
19.71
14.6,26.5)
23.39 (17.0,32.2)
34.42 (24.0,49.4)
$45k-$75k
7.58(5.5,10.5)
2.24(1.2,4.2)
5.15 (3.1,8.4)
10.25 (6.9,15.2)
17.45 (12.7,24.0)
23.10
17.1,31.2)
27.18 (20.2,36.5)
37.20 (26.6,52.0)
$75k+
7.98(6.0,10.6)
2.70 (1.7,4.2)
5.62 (4.0,7.8)
10.49 (7.7,14.4)
17.85 (13.3,24.0)
23.51
17.3,31.9)
27.40 (19.5,38.4)
38.12 (26.7,54.4)
>$20,000
7.48 (4.1,13.7)
2.72 (0.9,8.1)
5.58(2.5,12.6)
10.12 (5.5,18.6)
16.06 (9.4,27.4)
20.92
12.4,35.4)
25.37 (14.5,44.5)
33.62 (18.1,62.4)
Inc Ref/DK
9.44 (4.5,19.7)
2.72 (0.8,9.4)
6.68(2.5,17.7)
13.40 (5.8,30.8)
22.93 (10.3,50.9)
27.60
15.3,49.9)
30.12 (18.1,50.2)
36.66 (21.2,63.5)
Inc missing
9.76 (3.6,26.7)
2.89 (0.5,15.2)
6.52 (1.8,23.3)
11.76 (4.6,29.8)
22.02 (8.8,55.1)
29.34
12.5,69.1)
41.68 (12.1,143.3)
69.77 (12.5,389.9)
Race/Ethnicity









Mexican American
8.04(5.5,11.8)
2.28(1.3,4.1)
5.72 (3.4,9.6)
10.97 (7.2,16.6)
18.15 (12.5,26.4)
24.28
16.6,35.6)
28.14 (19.4,40.9)
37.76 (24.4,58.5)
Other Hispanic
6.96 (4.6,10.6)
2.07 (0.9,4.7)
4.85 (2.7,8.6)
9.37 (5.9,14.8)
15.63 (10.2,24.0)
20.56
13.3,31.8)
24.58 (15.7,38.5)
36.12 (21.8,59.8)
White
6.32 (4.8,8.3)
2.00 (1.1,3.5)
4.43 (3.1,6.4)
8.39 (6.3,11.3)
14.35 (10.8,19.1)
18.95
13.9,25.9)
22.41 (16.0,31.5)
30.02 (19.8,45.6)
Black
8.81 (6.9,11.3)
3.14(1.9,5.1)
6.79 (4.7,9.8)
12.07 (9.4,15.5)
19.04 (14.4,25.1)
24.13
17.3,33.7)
28.36 (19.9,40.4)
36.54 (23.5,56.8)
Other race
16.30 (10.3,25.8)
6.37 (2.7,14.9)
13.28 (6.5,27.0)
23.44 (12.7,43.3)
32.88 (23.2,46.6)
40.42
28.7,56.9)
45.90 (30.5,69.0)
61.43 (36.3,104.0)
C-63

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Table C-32. Trophic level 3 fish usual fish consumption
rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
4.78 (3.3,6.8)
1.55
0.7,3.3)
3.35 (2.0,5.7)
6.27 (4.3,9.1)
10.74 (7.6,15.2)
14.07 (9.9,19.9)
16.94 (11.8,24.2)
24.63 (16.6,36.5)
Northeast
8.39 (6.1,11.6)
2.44
1.5,4.0)
5.90 (4.0,8.6)
11.65 (8.3,16.3)
19.33 (13.9,26.9)
24.83 (18.0,34.3)
29.33 (20.6,41.8)
37.92 (25.5,56.3)
South
8.20 (6.3,10.7)
2.66
1.5,4.7)
5.88(3.9,8.8)
11.04 (8.2,14.9)
18.20 (13.8,23.9)
23.72 (17.8,31.6)
27.66 (19.9,38.4)
37.85 (26.3,54.5)
West
8.34(5.9,11.7)
2.64
1.6,4.4)
5.63 (3.8,8.4)
10.83 (7.6,15.4)
19.16 (13.3,27.6)
25.51 (17.7,36.7)
30.24 (21.4,42.8)
41.95 (28.2,62.5)
Coastal Status









Noncoastal
6.73 (4.7,9.6)
1.96
1.1,3.6)
4.55 (2.8,7.3)
8.97 (6.2,12.9)
15.56 (11.0,22.0)
20.67 (14.8,28.8)
24.60 (17.6,34.3)
33.97 (23.4,49.4)
Coastal
8.44(6.2,11.4)
2.70
1.8,4.1)
5.86 (4.1,8.3)
11.17 (8.0,15.6)
19.04 (13.9,26.0)
25.37 (18.6,34.7)
29.79 (20.9,42.5)
40.94 (27.5,60.9)
Coastal/Inland Region









Pacific
7.89 (5.2,11.9)
2.35
1.4,4.0)
5.12 (3.1,8.4)
9.73 (5.7,16.5)
18.49 (12.5,27.4)
25.82 (17.7,37.6)
30.79 (20.8,45.6)
43.67 (27.1,70.3)
Atlantic
8.76 (5.5,14.1)
3.14
1.8,5.5)
6.51 (3.9,10.8)
11.72 (7.0,19.6)
18.87 (11.3,31.5)
24.52 (14.7,41.0)
28.52 (16.5,49.3)
39.36 (24.6,62.9)
Gulf of Mexico
11.27 (8.0,16.0)
4.02
1.8,9.1)
8.79 (5.1,15.2)
16.11 (10.8,23.9)
24.16 (16.5,35.3)
29.80 (18.1,49.2)
34.07 (18.8,61.8)
47.32 (24.9,89.8)
Great Lakes
5.94 (4.1,8.6)
1.90
1.1,3.3)
4.12 (2.7,6.3)
7.82 (5.2,11.7)
13.36 (9.1,19.6)
17.73 (11.8,26.5)
21.67 (14.5,32.4)
30.62 (19.4,48.4)
Inland Northeast
7.74 (4.9,12.2)
1.90
1.0,3.7)
5.09 (2.9,8.8)
10.79 (6.6,17.6)
18.60 (11.3,30.7)
23.55 (15.2,36.6)
27.77 (17.8,43.2)
36.80 (23.2,58.4)
Inland Midwest
4.47 (2.8,7.1)
1.47
0.6,3.6)
3.18(1.6,6.3)
5.86 (3.6,9.5)
10.03 (6.4,15.7)
12.96 (8.8,19.2)
15.52 (10.4,23.1)
20.92 (13.3,32.9)
Inland South
7.33 (5.0,10.7)
2.28
1.2,4.3)
5.32 (3.1,9.1)
9.91 (6.6,14.8)
16.58 (11.3,24.2)
21.65 (15.0,31.2)
25.13 (17.8,35.5)
33.97 (23.1,49.9)
Inland West
8.81 (5.0,15.5)
3.03
1.3,7.0)
6.26 (3.3,11.9)
11.90 (6.6,21.5)
19.51 (11.4,33.4)
25.07 (15.2,41.3)
29.34 (18.2,47.4)
39.19 (24.2,63.6)
C-64

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Table C-33. Trophic level 3 fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onrloi'
3.06 (2.2,4.3)
0.43 (0.2,0.8)
1.24(0.8,2.0)
3.51 (2.4,5.2)
7.82 (5.5,11.0)
11.99 (8.6,16.7)
15.53 (11.3,21.3)
24.98 (18.1,34.5)
VJcllUcI
Female
2.57 (1.8,3.6)
0.36
0.2,0.7)
1.04(0.7,1.6)
2.96 (2.0,4.5)
6.64(4.6,9.5)
9.83 (6.9,13.9)
12.74 (9.0,18.0)
21.59 (15.8,29.6)
Male
A fTQ
3.56 (2.4,5.2)
0.52
0.3,0.9)
1.51 (0.9,2.5)
4.12 (2.7,6.3)
9.27 (6.1,14.0)
13.95 (9.5,20.4)
18.23 (12.1,27.5)
28.49 (19.1,42.5)
Mge
1 to <3 yrs
1.80 (1.0,3.1)
0.22
0.1,0.4)
0.69 (0.4,1.1)
1.78(1.2,2.7)
3.89 (2.5,6.1)
6.48(3.7,11.4)
9.58(4.5,20.4)
22.70 (5.1,100.7)
3 to <6 yrs
2.18(1.5,3.1)
0.35
0.1,0.9)
1.08(0.5,2.6)
2.85 (1.7,4.8)
5.58(4.0,7.9)
7.82 (5.6,11.0)
10.11 (7.3,13.9)
14.13 (9.6,20.7)
6 to <11 yrs
3.44(2.1,5.7)
0.48
0.3,0.9)
1.42 (0.8,2.4)
4.24(2.2,8.1)
8.76 (5.2,14.8)
13.37 (7.9,22.7)
17.56 (10.3,29.8)
27.25 (15.4,48.1)
11 to <16 yrs
2.88(1.8,4.6)
0.49
0.2,1.1)
1.35 (0.7,2.7)
3.53 (2.1,6.1)
7.58(4.7,12.3)
10.81 (6.7,17.4)
13.57 (8.4,22.0)
19.50 (10.7,35.7)
16 to <18 yrs
2.90 (1.9,4.5)
0.31
0.1,0.8)
0.92 (0.4,2.2)
2.71 (1.3,5.5)
6.90 (4.1,11.5)
12.64 (7.7,20.8)
18.57 (9.5,36.4)
29.57 (14.2,61.5)
18 to <21 yrs
1 nrniYlQ
4.78(2.9,7.9)
0.75
0.4,1.6)
2.38(1.1,4.9)
6.11 (3.3,11.4)
12.25 (7.1,21.1)
17.30 (10.8,27.7)
21.62 (13.6,34.4)
31.85 (19.5,51.9)
1 IllUIIlC
<$20,000
3.43 (2.4,4.8)
0.51
0.3,0.8)
1.41 (0.9,2.1)
3.88(2.5,6.1)
8.87 (6.1,12.8)
13.52 (9.5,19.2)
18.06 (12.9,25.2)
26.45 (18.2,38.4)
>$20,000
2.89 (2.0,4.2)
0.41
0.2,0.8)
1.19 (0.7,2.0)
3.34(2.2,5.2)
7.43 (5.0,11.0)
11.35 (7.8,16.4)
14.42 (10.2,20.3)
23.75 (15.8,35.7)
Income unknown
4.89 (1.8,13.0)
0.47
0.2,1.1)
2.15 (0.5,8.8)
5.89 (1.6,21.3)
13.29 (4.1,43.5)
20.57 (6.9,61.6)
27.51 (9.5,79.5)
36.34 (15.8,83.7)
Income, finer detail









<$20,000
3.43 (2.4,4.8)
0.51
0.3,0.8)
1.41 (0.9,2.1)
3.88(2.5,6.1)
8.87 (6.1,12.8)
13.52 (9.5,19.2)
18.06 (12.9,25.2)
26.45 (18.2,38.4)
$20k-$45k
2.89 (1.9,4.5)
0.41
0.2,0.8)
1.22 (0.7,2.2)
3.50 (2.0,6.2)
7.44(4.9,11.3)
11.32 (7.5,17.0)
14.25 (9.9,20.5)
21.16 (14.9,30.1)
$45k-$75k
2.63 (1.8,3.8)
0.38
0.2,0.7)
1.08(0.7,1.7)
2.96 (1.9,4.5)
7.05 (4.8,10.3)
10.42 (6.9,15.7)
13.50 (9.0,20.3)
22.03 (14.6,33.2)
$75k+
3.01 (1.9,4.7)
0.42
0.2,0.8)
1.24(0.7,2.2)
3.40 (2.1,5.6)
7.63 (4.6,12.7)
11.92 (7.2,19.7)
15.41 (9.6,24.7)
27.50 (15.2,49.9)
>$20,000
3.54(1.6,7.6)
0.56
0.2,1.7)
1.72 (0.7,4.1)
4.45 (1.9,10.4)
9.04(4.2,19.5)
13.11 (5.9,29.1)
14.65 (7.0,30.8)
26.81 (8.1,88.6)
Inc Ref/DK
4.22 (1.5,12.0)
0.46
0.2,1.2)
1.82 (0.5,6.6)
5.51 (1.3,23.6)
12.01 (3.1,46.3)
16.69 (5.6,50.2)
19.00 (8.6,41.9)
27.51 (13.3,56.7)
Inc missing
5.81 (1.3,25.8)
0.49
0.1,1.7)
2.58(0.4,16.8)
6.45 (1.2,34.2)
17.89 (2.4,131.2)
28.29 (4.2,191.1)
30.62 (7.0,134.0)
36.93 (12.3,110.7)
Race/Ethnicity









Mexican American
2.36 (1.5,3.6)
0.39
0.2,0.7)
1.07 (0.7,1.7)
2.88(1.9,4.4)
6.05 (3.9,9.3)
8.90 (5.4,14.6)
11.18 (6.3,19.9)
16.97 (8.3,34.5)
Other Hispanic
1.27 (0.3,6.2)
0.20
0.1,0.5)
0.53 (0.1,2.1)
1.38(0.2,8.1)
3.34(0.7,16.3)
5.04(1.0,26.6)
6.57 (1.3,33.4)
10.89 (2.6,45.0)
White
2.45 (1.4,4.3)
0.36
0.2,0.7)
1.03 (0.5,1.9)
2.75 (1.6,4.7)
6.25 (3.5,11.2)
9.64(5.2,17.7)
12.76 (6.7,24.5)
20.30 (10.6,38.9)
Black
4.54(2.6,8.0)
1.01
0.6,1.7)
2.72 (1.7,4.4)
6.07 (3.5,10.7)
10.94 (5.9,20.3)
14.80 (7.7,28.6)
17.82 (8.9,35.8)
24.47 (11.0,54.3)
Other race
7.71 (3.4,17.3)
1.12
0.5,2.5)
4.07 (1.4,12.3)
9.99 (4.0,24.9)
21.81 (7.5,63.1)
29.19 (12.5,68.1)
33.26 (17.6,63.0)
49.58 (22.9,107.5)
C-65

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Table C-33. Trophic level 3 fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.14 (1.3,3.6)
0.33 (0.1,0.9)
0.83 (0.4,1.6)
2.27 (1.3,4.1)
5.44(3.0,9.7)
8.65 (4.6,16.1)
11.48 (6.1,21.5)
19.07 (10.5,34.6)
Northeast
3.02 (1.8,5.0)
0.36 (0.2,0.6)
1.12 (0.6,2.0)
3.43 (2.2,5.2)
7.74(4.5,13.3)
12.84 (6.0,27.7)
16.31 (7.6,34.9)
23.84 (11.8,48.2)
South
3.62 (2.5,5.3)
0.61 (0.4,1.0)
1.74(1.1,2.8)
4.53 (2.9,7.0)
9.02 (6.0,13.5)
13.10 (8.8,19.6)
16.62 (11.2,24.6)
24.90 (17.0,36.5)
West
3.21 (1.9,5.5)
0.40 (0.2,0.8)
1.26 (0.6,2.4)
3.41 (2.0,5.9)
8.01 (4.6,13.9)
13.16 (7.1,24.5)
18.10 (9.3,35.4)
29.67 (14.7,60.0)
Coastal Status








Noncoastal
2.60 (1.7,4.0)
0.39 (0.2,0.7)
1.10 (0.6,1.9)
3.02 (1.9,4.9)
6.63 (4.3,10.2)
10.00 (6.8,14.8)
13.07 (8.8,19.5)
20.39 (13.6,30.6)
Coastal
3.79 (2.7,5.2)
0.51 (0.3,0.8)
1.54(1.1,2.2)
4.41 (3.1,6.4)
9.91 (6.9,14.3)
14.76 (10.4,21.0)
19.34 (13.6,27.5)
30.41 (20.5,45.1)
Coastal/Inland Region








Pacific
3.44(1.9,6.2)
0.31 (0.2,0.6)
0.98(0.5,1.8)
3.14(1.9,5.2)
9.45 (4.9,18.3)
15.27 (7.6,30.6)
23.82 (8.1,69.7)
34.22 (12.7,92.4)
Atlantic
3.38(2.0,5.8)
0.62 (0.4,1.1)
1.74(1.0,3.1)
4.43 (2.7,7.4)
8.61 (5.0,14.8)
12.13 (6.8,21.6)
14.75 (8.1,27.0)
20.04 (9.2,43.6)
Gulf of Mexico
6.73 (2.1,21.3)
1.32 (0.3,5.6)
3.79 (0.9,16.0)
8.73 (2.5,30.9)
16.68 (5.2,53.3)
23.66 (7.8,71.8)
29.15 (10.2,83.2)
36.93 (17.8,76.4)
Great Lakes
2.53 (1.0,6.6)
0.41 (0.2,0.9)
1.09 (0.5,2.4)
2.83 (1.0,7.7)
6.03 (1.8,20.0)
9.84(3.5,28.0)
13.48 (5.3,34.6)
21.88 (9.1,52.4)
Inland Northeast
2.51 (1.7,3.8)
0.24(0.1,0.5)
0.74(0.2,2.3)
2.29 (0.9,5.7)
6.05 (3.9,9.4)
11.42 (5.5,23.6)
15.23 (6.4,36.2)
26.45 (8.4,83.7)
Inland Midwest
2.02 (1.0,4.2)
0.32 (0.1,1.2)
0.78(0.3,2.0)
2.10 (0.8,5.3)
5.21 (2.1,13.1)
8.40 (3.6,19.7)
11.35 (4.9,26.1)
17.13 (8.8,33.5)
Inland South
2.90 (1.9,4.4)
0.51 (0.3,0.9)
1.47 (0.9,2.5)
3.76 (2.3,6.0)
7.12 (4.4,11.5)
10.49 (6.5,16.8)
12.95 (7.9,21.2)
18.98 (11.7,30.8)
Inland West
3.02 (1.5,6.2)
0.53 (0.2,1.4)
1.49 (0.6,3.7)
3.57 (1.7,7.5)
7.32 (3.7,14.6)
10.97 (5.4,22.2)
13.78 (6.6,28.7)
24.82 (9.0,68.6)
C-66

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Table C-34. Trophic level 4 fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
7.34(5.6,9.6)
1.51 (0.8,2.7)
4.58(3.2,6.6)
9.81 (7.4,13.1)
17.47 (13.0,23.4)
23.98 (17.7,32.4)
29.12 (21.5,39.5)
41.25 (30.3,56.2)
VJCllUCl
Female
6.73 (5.2,8.8)
1.38
0.8,2.5)
4.28(3.0,6.2)
9.15 (7.0,12.0)
16.12 (12.1,21.5)
21.88 (16.2,29.6)
26.23 (19.0,36.3)
36.57 (25.8,51.8)
Male
A np
8.06 (6.1,10.7)
1.67
0.9,3.0)
4.96 (3.4,7.3)
10.68 (7.8,14.7)
19.20 (14.0,26.3)
26.31 (19.2,36.1)
32.67 (24.4,43.7)
46.55 (34.7,62.5)
age
1 to <3 yrs
1.80 (1.2,2.7)
0.26
0.1,0.5)
0.83 (0.4,1.6)
2.12 (1.3,3.4)
4.32 (2.7,6.9)
6.69 (4.1,10.9)
9.11 (5.6,14.7)
14.59 (9.3,23.0)
3 to <6 yrs
2.61 (1.6,4.2)
0.46
0.2,1.3)
1.47 (0.6,3.5)
3.36 (1.8,6.1)
6.38(4.0,10.2)
8.45 (5.8,12.4)
10.52 (7.0,15.8)
16.56 (10.3,26.7)
6 to <11 yrs
3.64(2.1,6.2)
0.58
0.3,1.1)
1.92 (1.0,3.5)
4.72 (2.8,7.8)
9.40 (5.4,16.3)
13.57 (7.5,24.6)
16.17 (8.8,29.7)
22.57 (11.4,44.8)
11 to <16 yrs
3.27 (1.9,5.6)
0.54
0.3,1.1)
1.69 (0.8,3.7)
4.16 (2.2,7.7)
7.84(4.6,13.2)
11.06 (6.6,18.6)
14.12 (8.1,24.6)
22.57 (11.6,43.8)
16 to <18 yrs
4.46 (2.9,6.9)
0.57
0.3,1.2)
1.99 (1.1,3.7)
5.88(3.5,9.9)
12.03 (7.6,19.1)
17.12
10.8,27.0)
20.02 (12.2,32.9)
28.87 (17.6,47.5)
18 to <21 yrs
7.35 (4.0,13.6)
0.94
0.5,1.9)
3.27 (1.6,6.8)
8.24 (4.7,14.5)
17.29 (9.4,31.9)
26.68
13.7,51.9)
41.28 (17.0,100.1)
67.90 (23.4,197.3)
21 to <35 yrs
7.21 (5.3,9.7)
1.77
0.8,4.0)
4.64(2.8,7.8)
9.56 (6.8,13.4)
16.73 (12.2,22.9)
22.95
16.3,32.4)
28.02 (19.7,39.9)
39.63 (26.6,59.1)
35 to <50 yrs
7.91 (5.8,10.8)
2.61
1.7,3.9)
5.74 (4.2,7.9)
10.61 (7.7,14.6)
17.67 (12.7,24.6)
23.41
16.6,32.9)
27.63 (19.1,39.9)
37.01 (24.2,56.6)
50 to <65 yrs
12.11 (8.6,17.1)
4.47
2.5,8.0)
8.87 (6.0,13.1)
16.09 (11.6,22.3)
26.03 (18.6,36.4)
34.47
24.1,49.2)
40.32 (28.3,57.5)
56.32 (36.7,86.3)
65+ yrs
1 nrn m o
8.36 (5.0,13.9)
2.98
1.8,4.9)
6.18(3.8,10.1)
11.23 (6.7,18.9)
17.96 (9.9,32.5)
23.89
13.5,42.4)
27.89 (14.8,52.5)
38.31 (20.9,70.3)
1 IllUIIlc
<$20,000
5.87 (4.4,7.8)
0.98
0.6,1.8)
3.35 (2.2,5.1)
7.51 (5.6,10.1)
14.48 (11.0,19.0)
20.02
15.0,26.7)
25.88 (18.8,35.6)
38.22 (26.5,55.2)
>$20,000
7.59 (5.8,10.0)
1.65
0.9,2.9)
4.81 (3.4,6.9)
10.19 (7.6,13.7)
17.97 (13.2,24.5)
24.44
17.7,33.8)
29.73 (21.6,40.9)
41.57 (29.9,57.8)
Income unknown
8.26 (4.5,15.2)
1.72
0.5,5.8)
5.30 (2.0,14.2)
11.33 (5.5,23.2)
19.31 (11.5,32.3)
26.67
16.4,43.3)
31.25 (20.9,46.7)
47.85 (28.9,79.2)
Income, finer detail










<$20,000
5.87 (4.4,7.8)
0.98
0.6,1.8)
3.35 (2.2,5.1)
7.51 (5.6,10.1)
14.48 (11.0,19.0)
20.02
15.0,26.7)
25.88 (18.8,35.6)
38.22 (26.5,55.2)
$20k-$45k
6.42 (4.6,9.0)
1.31
0.8,2.2)
3.99 (2.7,5.9)
8.48(6.0,12.1)
14.98 (10.0,22.4)
20.46
13.1,32.0)
25.39 (16.6,38.9)
38.55 (27.0,55.0)
$45k-$75k
7.14(5.1,10.1)
1.48
0.9,2.5)
4.40 (2.9,6.6)
9.51 (6.6,13.8)
17.18 (11.8,25.0)
23.61
16.1,34.6)
28.32 (19.1,41.9)
39.76 (26.5,59.8)
$75k+
8.82 (6.8,11.5)
2.20
1.1,4.4)
6.01 (4.1,8.8)
12.06 (9.1,16.0)
20.67 (15.5,27.5)
26.89
19.4,37.2)
32.43 (23.6,44.6)
44.95 (32.3,62.5)
>$20,000
7.96 (4.8,13.1)
1.86
0.9,3.7)
5.20 (2.9,9.4)
10.54 (6.5,17.2)
17.86 (11.3,28.3)
26.20
15.1,45.5)
33.64 (17.1,66.2)
44.02 (24.2,80.0)
Inc Ref/DK
7.68(4.4,13.5)
1.68
0.6,4.9)
5.30 (2.0,14.2)
11.00 (5.4,22.2)
18.17 (10.8,30.5)
23.27
14.8,36.5)
27.23 (17.2,43.0)
38.31 (22.1,66.3)
Inc missing
9.38(3.6,24.2)
1.76
0.3,9.9)
5.27 (1.5,18.5)
12.09 (4.4,33.3)
22.52 (9.6,53.1)
32.41
14.2,73.9)
44.77 (15.8,126.5)
55.32 (28.2,108.3)
Race/Ethnicity










Mexican American
5.71 (4.0,8.1)
0.98
0.5,1.8)
3.30 (1.9,5.7)
7.49 (5.1,11.0)
14.12 (9.9,20.1)
19.32
14.0,26.7)
23.76 (17.2,32.8)
33.29 (22.3,49.7)
Other Hispanic
6.06 (4.1,8.9)
0.97
0.5,1.9)
3.45 (2.2,5.5)
7.90 (5.2,12.0)
14.73 (10.0,21.8)
21.25
14.5,31.2)
25.88 (17.5,38.2)
37.95 (25.7,55.9)
White
7.41 (5.6,9.8)
1.61
0.9,3.0)
4.71 (3.3,6.8)
9.88(7.2,13.5)
17.44 (12.5,24.3)
23.90
17.1,33.4)
28.98 (20.8,40.5)
41.14 (29.9,56.6)
Black
6.86 (5.1,9.2)
1.46
0.9,2.5)
4.29 (2.9,6.4)
9.19 (6.7,12.6)
16.43 (12.2,22.2)
22.39
16.4,30.5)
27.69 (20.7,37.0)
38.31 (28.1,52.2)
Other race
11.14 (8.4,14.8)
2.98
1.3,6.9)
7.79 (4.9,12.4)
15.21 (11.1,20.9)
25.03 (17.7,35.4)
33.96
23.7,48.7)
40.27 (27.0,60.0)
58.54 (40.5,84.6)
C-67

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Table C-34. Trophic level 4 fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
5.86 (4.0,8.5)
1.15 (0.6,2.4)
3.65 (2.2,6.0)
7.87 (5.3,11.7)
13.82 (9.0,21.3)
19.05
12.1,29.9)
23.65 (15.4,36.3)
33.85 (22.2,51.7)
Northeast
8.94 (6.4,12.4)
1.77 (1.1,3.0)
5.59 (3.8,8.2)
12.16 (8.7,17.1)
21.63 (15.3,30.5)
29.34
20.7,41.6)
34.80 (24.4,49.6)
48.89 (33.6,71.1)
South
7.02 (5.4,9.1)
1.42 (0.8,2.5)
4.26 (2.9,6.2)
9.09 (6.8,12.1)
16.61 (12.7,21.8)
23.05
17.4,30.6)
28.90 (21.9,38.1)
43.65 (31.6,60.2)
West
8.27 (6.1,11.2)
2.00 (1.0,3.9)
5.77 (3.9,8.5)
11.49 (8.4,15.7)
19.23 (13.6,27.2)
25.31
17.4,36.8)
29.96 (20.1,44.7)
39.91 (25.1,63.5)
Coastal Status









Noncoastal
7.22 (5.3,9.8)
1.51 (0.8,2.9)
4.65 (2.9,7.4)
9.74 (7.1,13.4)
17.15 (12.7,23.2)
23.24
17.0,31.8)
27.79 (20.0,38.7)
39.54 (28.0,55.8)
Coastal
7.52 (5.3,10.6)
1.51 (0.9,2.5)
4.48(3.0,6.6)
9.91 (6.7,14.7)
18.07 (11.9,27.3)
25.32
17.3,37.2)
31.02 (21.4,45.1)
44.49 (31.6,62.6)
Coastal/Inland Region









Pacific
7.28(4.6,11.5)
1.55 (0.9,2.8)
4.93 (3.1,7.7)
10.12 (6.4,16.0)
17.11 (10.0,29.2)
23.37
14.4,38.0)
26.95 (15.0,48.5)
35.63 (18.4,69.2)
Atlantic
7.87 (4.7,13.1)
1.84(1.0,3.3)
4.97 (2.8,8.9)
10.62 (6.2,18.3)
18.60 (10.7,32.2)
25.44
15.2,42.6)
30.95 (19.1,50.0)
41.93 (25.2,69.9)
Gulf of Mexico
8.51 (5.0,14.5)
1.28(0.6,2.7)
3.69 (2.2,6.1)
9.34(5.9,14.9)
22.32 (11.3,44.1)
34.97
16.6,73.7)
45.37 (21.8,94.4)
67.85 (35.1,131.2)
Great Lakes
6.13 (4.0,9.4)
0.91 (0.5,1.7)
3.09 (1.8,5.2)
7.63 (4.4,13.3)
15.95 (10.3,24.6)
23.27
15.4,35.1)
28.73 (19.2,43.1)
41.61 (29.1,59.5)
Inland Northeast
9.28(5.7,15.1)
1.56 (0.8,2.9)
5.68(3.4,9.6)
12.64 (7.9,20.3)
22.91 (13.7,38.3)
31.12
18.2,53.1)
37.22 (21.9,63.2)
50.25 (29.7,85.0)
Inland Midwest
5.76 (3.9,8.5)
1.22 (0.5,2.8)
3.80 (2.1,6.7)
7.88(5.2,12.0)
13.42 (8.9,20.2)
18.14
11.9,27.6)
21.97 (14.4,33.5)
31.05 (20.5,47.0)
Inland South
6.47 (4.7,8.8)
1.35 (0.7,2.7)
4.26 (2.5,7.2)
8.68(6.3,12.0)
15.12 (11.4,20.1)
20.76
15.6,27.6)
24.38 (18.2,32.7)
34.53 (24.8,48.0)
Inland West
9.27 (6.0,14.4)
2.53 (0.9,7.5)
6.58(3.6,12.0)
12.67 (8.2,19.5)
21.11 (14.0,32.0)
27.13
18.0,40.8)
33.12 (21.9,50.1)
43.77 (28.0,68.3)
C-68

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Table C-35. Trophic level 4 fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
8.75 (6.7,11.5)
2.69 (1.6,4.5)
6.08 (4.4,8.4)
11.63 (8.7,15.6)
19.63 (14.5,26.6)
26.23 (19.2,35.9)
31.73 (23.5,42.9)
43.40 (31.4,60.1)
vjcllUcl
Female
7.97 (6.1,10.4)
2.42 (1.4,4.1)
5.62 (4.1,7.7)
10.70 (8.1,14.1)
18.01 (13.5,24.1)
23.95 (17.6,32.6)
28.46 (20.5,39.5)
38.42 (26.7,55.4)
Male
A fTQ
9.73 (7.3,13.0)
3.08(1.9,5.0)
6.82 (4.8,9.7)
12.87 (9.3,17.9)
21.74 (15.7,30.1)
29.35 (21.7,39.6)
35.30 (26.3,47.5)
48.37 (35.2,66.5)
Mge
21 to <35 yrs
7.21 (5.3,9.7)
1.77 (0.8,4.0)
4.64(2.8,7.8)
9.56 (6.8,13.4)
16.73 (12.2,22.9)
22.95 (16.3,32.4)
28.02 (19.7,39.9)
39.63 (26.6,59.1)
35 to <50 yrs
7.91 (5.8,10.8)
2.61 (1.7,3.9)
5.74 (4.2,7.9)
10.61 (7.7,14.6)
17.67 (12.7,24.6)
23.41 (16.6,32.9)
27.63 (19.1,39.9)
37.01 (24.2,56.6)
50 to <65 yrs
12.11 (8.6,17.1)
4.47 (2.5,8.0)
8.87 (6.0,13.1)
16.09 (11.6,22.3)
26.03 (18.6,36.4)
34.47 (24.1,49.2)
40.32 (28.3,57.5)
56.32 (36.7,86.3)
65+ yrs
8.36 (5.0,13.9)
2.98(1.8,4.9)
6.18(3.8,10.1)
11.23 (6.7,18.9)
17.96 (9.9,32.5)
23.89 (13.5,42.4)
27.89 (14.8,52.5)
38.31 (20.9,70.3)
WCA (13-49 years)
6.43 (5.0,8.3)
1.45 (0.8,2.6)
4.20 (2.9,6.2)
8.71 (6.7,11.4)
15.23 (11.5,20.1)
20.45 (15.1,27.7)
24.65 (18.0,33.8)
34.24 (24.2,48.5)
1 IllUlllc
<$20,000
7.14(5.3,9.5)
1.64(0.9,3.0)
4.64(3.1,6.9)
9.11 (6.8,12.2)
16.59 (12.5,22.0)
23.30 (17.1,31.8)
28.73 (20.4,40.5)
40.04 (27.5,58.3)
>$20,000
9.00 (6.8,12.0)
2.90 (1.8,4.6)
6.34(4.6,8.8)
11.96 (8.7,16.4)
20.08 (14.5,27.7)
26.45 (18.7,37.4)
32.06 (23.2,44.2)
43.53 (30.8,61.5)
Income unknown
9.68(5.4,17.3)
2.88(0.8,11.0)
7.12 (2.7,18.4)
13.24 (6.9,25.5)
20.89 (13.5,32.4)
29.29 (18.1,47.3)
32.64 (21.6,49.4)
49.83 (29.5,84.1)
Income, finer detail








<$20,000
7.14(5.3,9.5)
1.64(0.9,3.0)
4.64(3.1,6.9)
9.11 (6.8,12.2)
16.59 (12.5,22.0)
23.30 (17.1,31.8)
28.73 (20.4,40.5)
40.04 (27.5,58.3)
$20k-$45k
7.51 (5.3,10.7)
2.28(1.4,3.8)
5.18(3.6,7.5)
9.99 (6.9,14.4)
16.71 (11.0,25.4)
22.41 (14.2,35.5)
27.32 (17.5,42.6)
38.85 (25.4,59.5)
$45k-$75k
8.40 (6.0,11.9)
2.52 (1.6,4.1)
5.70 (3.8,8.5)
11.14 (7.7,16.2)
19.18 (13.4,27.5)
25.60 (17.6,37.2)
30.66 (21.4,44.0)
41.07 (27.1,62.3)
$75k+
10.62 (8.1,13.9)
3.83 (2.4,6.0)
7.91 (5.7,10.9)
14.26 (10.7,19.0)
22.95 (17.0,31.0)
29.83 (21.8,40.8)
35.16 (25.4,48.6)
46.33 (31.4,68.3)
>$20,000
9.31 (5.7,15.1)
2.96 (1.5,5.9)
6.56 (3.9,11.1)
11.94 (7.5,19.0)
19.89 (12.5,31.7)
29.27 (15.8,54.2)
36.32 (18.1,73.0)
45.96 (25.4,83.0)
Inc Ref/DK
8.85 (5.3,14.9)
2.85 (0.8,9.9)
6.99 (2.8,17.4)
12.35 (6.9,22.1)
19.02 (12.3,29.5)
24.89 (15.7,39.6)
29.29 (18.3,46.8)
40.91 (23.0,72.7)
Inc missing
11.56 (4.2,31.5)
3.06 (0.4,21.1)
7.48(2.0,28.6)
15.70 (5.1,48.3)
26.67 (10.5,67.7)
39.22 (14.8,104.1)
46.62 (18.1,119.8)
55.32 (27.3,112.1)
Race/Ethnicity








Mexican American
7.46 (5.1,11.0)
1.97 (0.9,4.2)
5.19 (2.9,9.2)
10.02 (6.5,15.3)
16.76 (11.8,23.9)
22.56 (16.2,31.5)
27.40 (19.4,38.7)
37.40 (25.0,55.9)
Other Hispanic
7.81 (5.1,11.9)
2.14(1.1,4.3)
5.17 (3.1,8.6)
10.39 (6.6,16.4)
17.90 (11.9,26.9)
24.93 (16.2,38.3)
28.71 (19.2,43.0)
41.70 (27.4,63.6)
White
8.54(6.3,11.6)
2.69 (1.7,4.4)
6.00 (4.3,8.4)
11.41 (8.2,15.9)
19.18 (13.5,27.3)
25.50 (17.8,36.6)
30.90 (22.1,43.2)
41.54 (28.7,60.2)
Black
8.72 (6.5,11.7)
2.74(1.4,5.4)
6.20 (4.1,9.3)
11.74 (8.6,16.0)
19.38 (14.4,26.1)
26.00 (19.3,35.0)
31.26 (23.3,41.9)
42.03 (30.6,57.8)
Other race
13.62 (10.2,18.3)
4.90 (2.9,8.2)
10.34 (7.0,15.4)
18.35 (13.3,25.3)
28.73 (20.5,40.3)
38.34 (27.1,54.2)
47.20 (33.9,65.7)
62.93 (41.8,94.8)
C-69

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Table C-35. Trophic level 4 fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region










Midwest
7.16 (4.8,10.7)
2.16 (1.2,4.0)
4.88(3.1,7.7)
9.64(6.4,14.5)
16.11
10.4,24.9)
21.45
13.5,34.2)
25.88 (16.3,41.1)
37.87 (25.8,55.6)
Northeast
10.23 (7.3,14.3)
3.04(1.8,5.2)
7.36 (5.1,10.7)
14.12 (10.0,19.8)
23.38
16.7,32.7)
30.50
21.5,43.4)
35.31 (24.3,51.3)
46.24 (29.8,71.7)
South
8.48 (6.6,10.9)
2.52 (1.5,4.2)
5.76 (4.1,8.1)
10.91 (8.3,14.3)
19.04
14.6,24.8)
25.85
19.6,34.1)
32.13 (24.0,43.0)
46.62 (33.2,65.4)
West
9.83 (7.3,13.3)
3.56 (2.1,6.1)
7.39 (5.2,10.4)
13.25 (9.6,18.2)
21.39
15.2,30.0)
27.43
18.8,40.1)
32.29 (21.8,47.9)
42.71 (27.7,65.9)
Coastal Status










Noncoastal
8.53 (6.3,11.5)
2.72 (1.4,5.4)
6.10 (4.1,9.1)
11.44 (8.4,15.6)
19.13
14.1,25.9)
24.99
18.0,34.6)
30.21 (21.9,41.7)
40.58 (28.4,57.9)
Coastal
9.08(6.2,13.2)
2.66 (1.7,4.2)
6.05 (3.9,9.4)
12.01 (7.9,18.1)
20.67
13.7,31.1)
28.09
19.1,41.4)
34.18 (23.9,48.9)
47.20 (32.8,67.9)
Coastal/Inland Region










Pacific
8.76 (5.6,13.7)
2.99 (1.8,5.1)
6.51 (4.1,10.3)
11.93 (7.6,18.7)
19.17
11.6,31.8)
25.40
15.8,40.7)
29.54 (17.7,49.2)
38.63 (22.3,66.8)
Atlantic
9.40 (5.5,16.1)
2.91 (1.4,6.1)
6.53 (3.5,12.0)
12.78 (7.5,21.7)
20.93
11.9,36.7)
28.04
16.7,47.0)
33.54 (20.4,55.1)
45.05 (27.6,73.6)
Gulf of Mexico
10.25 (5.6,18.8)
2.13 (1.0,4.4)
5.07 (3.0,8.6)
11.72 (6.9,19.9)
26.29
12.1,57.0)
38.78
17.2,87.3)
49.62 (22.8,108.1)
69.59 (35.2,137.8)
Great Lakes
7.76 (4.7,12.8)
1.91 (1.0,3.8)
4.56 (2.3,8.9)
10.03 (5.6,17.9)
18.66
11.2,30.9)
26.34
16.8,41.4)
33.10 (22.4,48.9)
44.20 (29.3,66.6)
Inland Northeast
10.30 (6.5,16.2)
2.85 (1.3,6.2)
7.42 (4.3,12.7)
14.49 (9.1,23.1)
23.82
15.2,37.4)
30.73
19.6,48.2)
35.34 (23.0,54.4)
44.41 (27.3,72.2)
Inland Midwest
6.98(4.6,10.5)
2.26 (1.1,4.8)
4.93 (3.0,8.1)
9.51 (6.2,14.5)
15.39
10.2,23.2)
20.20
13.1,31.2)
24.30 (15.8,37.3)
33.77 (22.1,51.5)
Inland South
7.86 (5.7,10.8)
2.55 (1.1,5.8)
5.79 (3.5,9.7)
10.43 (7.7,14.2)
17.23
13.1,22.7)
22.87
17.3,30.3)
27.11 (20.2,36.4)
37.64 (27.0,52.5)
Inland West
10.98 (7.1,16.9)
4.25 (1.8,10.0)
8.39 (5.0,14.1)
14.70 (9.6,22.6)
22.98
15.3,34.5)
29.70
19.7,44.7)
35.24 (23.0,53.9)
47.41 (30.2,74.4)
C-70

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Table C-36. Trophic level 4 fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
3.84(2.6,5.6)
0.53 (0.3,1.0)
1.70 (1.0,3.0)
4.47 (2.9,6.9)
9.23 (6.5,13.1)
14.12 (9.9,20.1)
17.97 (12.4,26.0)
29.82 (19.2,46.4)
VJcllUcl
Female
3.35 (2.4,4.8)
0.48
0.3,0.9)
1.51 (0.9,2.7)
4.02 (2.6,6.2)
8.42 (5.9,12.0)
12.82 (9.1,18.1)
15.89 (11.1,22.8)
24.78 (16.7,36.7)
Male
A fTQ
4.34(2.8,6.7)
0.58
0.3,1.1)
1.95 (1.0,3.7)
4.90 (3.1,7.6)
10.10 (6.9,14.7)
15.82 (10.6,23.6)
21.20 (13.6,33.1)
37.82 (21.0,68.0)
Mge
1 to <3 yrs
1.80 (1.2,2.7)
0.26
0.1,0.5)
0.83 (0.4,1.6)
2.12 (1.3,3.4)
4.32 (2.7,6.9)
6.69 (4.1,10.9)
9.11 (5.6,14.7)
14.59 (9.3,23.0)
3 to <6 yrs
2.61 (1.6,4.2)
0.46
0.2,1.3)
1.47 (0.6,3.5)
3.36 (1.8,6.1)
6.38(4.0,10.2)
8.45 (5.8,12.4)
10.52 (7.0,15.8)
16.56 (10.3,26.7)
6 to <11 yrs
3.64(2.1,6.2)
0.58
0.3,1.1)
1.92 (1.0,3.5)
4.72 (2.8,7.8)
9.40 (5.4,16.3)
13.57 (7.5,24.6)
16.17 (8.8,29.7)
22.57 (11.4,44.8)
11 to <16 yrs
3.27 (1.9,5.6)
0.54
0.3,1.1)
1.69 (0.8,3.7)
4.16 (2.2,7.7)
7.84(4.6,13.2)
11.06 (6.6,18.6)
14.12 (8.1,24.6)
22.57 (11.6,43.8)
16 to <18 yrs
4.46 (2.9,6.9)
0.57
0.3,1.2)
1.99 (1.1,3.7)
5.88(3.5,9.9)
12.03 (7.6,19.1)
17.12 (10.8,27.0)
20.02 (12.2,32.9)
28.87 (17.6,47.5)
18 to <21 yrs
1 nrnmo
7.35 (4.0,13.6)
0.94
0.5,1.9)
3.27 (1.6,6.8)
8.24(4.7,14.5)
17.29 (9.4,31.9)
26.68 (13.7,51.9)
41.28 (17.0,100.1)
67.90 (23.4,197.3)
1 IllUIIlC
<$20,000
3.24(2.2,4.7)
0.47
0.3,0.8)
1.54(0.9,2.7)
4.02 (2.7,6.0)
7.92 (5.1,12.4)
11.88 (7.3,19.2)
15.21 (9.4,24.5)
21.85 (11.2,42.5)
>$20,000
3.92 (2.6,5.9)
0.54
0.3,1.0)
1.72 (1.0,3.1)
4.51 (2.8,7.2)
9.46 (6.4,13.9)
14.41 (9.9,21.0)
18.65 (12.7,27.4)
31.91 (19.7,51.7)
Income unknown
5.01 (2.1,11.8)
0.67
0.3,1.8)
2.45 (0.7,8.4)
5.97 (2.2,16.0)
12.59 (4.9,32.2)
19.04 (7.7,47.1)
22.52 (10.9,46.5)
41.35 (14.6,116.7)
Income, finer detail









<$20,000
3.24(2.2,4.7)
0.47
0.3,0.8)
1.54(0.9,2.7)
4.02 (2.7,6.0)
7.92 (5.1,12.4)
11.88 (7.3,19.2)
15.21 (9.4,24.5)
21.85 (11.2,42.5)
$20k-$45k
3.69 (2.4,5.6)
0.49
0.3,0.9)
1.55 (0.9,2.7)
4.07 (2.6,6.4)
8.59 (5.9,12.4)
13.22 (9.2,18.9)
17.28 (11.7,25.5)
32.18 (17.5,59.0)
$45k-$75k
3.61 (2.2,5.9)
0.47
0.2,0.9)
1.58(0.8,3.0)
4.10 (2.5,6.8)
8.86 (5.4,14.6)
13.66 (7.9,23.6)
17.45 (9.1,33.5)
29.46 (13.8,62.8)
$75k+
4.32 (2.6,7.1)
0.62
0.3,1.4)
2.03 (0.9,4.4)
5.18(2.9,9.3)
10.47 (6.7,16.5)
15.91 (10.2,24.9)
20.03 (13.0,30.9)
32.35 (20.3,51.7)
>$20,000
3.60 (1.8,7.2)
0.79
0.2,2.6)
2.07 (1.1,3.8)
3.97 (1.9,8.2)
7.94(3.3,19.1)
13.85 (5.6,34.1)
15.79 (5.5,45.4)
31.21 (10.8,89.8)
Inc Ref/DK
4.49 (1.5,13.5)
0.54
0.2,1.3)
2.06 (0.7,6.1)
5.38(1.5,18.9)
12.59 (2.7,57.9)
18.04 (4.9,66.5)
20.58 (7.7,55.0)
26.80 (13.1,54.7)
Inc missing
5.72 (2.1,15.3)
0.93
0.1,6.0)
2.81 (0.7,11.8)
6.87 (2.2,21.0)
13.25 (5.1,34.6)
19.96 (7.6,52.6)
28.52 (9.5,85.8)
43.41 (13.8,136.4)
Race/Ethnicity









Mexican American
3.01 (1.8,4.9)
0.44
0.2,0.8)
1.42 (0.8,2.5)
3.73 (2.3,6.0)
7.34(4.4,12.3)
11.44 (7.0,18.8)
14.52 (8.2,25.6)
21.98 (10.8,44.8)
Other Hispanic
2.88(1.1,7.7)
0.37
0.1,1.2)
1.15 (0.4,3.7)
3.51 (1.4,8.6)
7.25 (2.6,20.2)
11.19 (4.1,30.2)
14.85 (5.6,39.1)
22.76 (7.9,65.3)
White
4.06 (2.0,8.1)
0.52
0.2,1.2)
1.64(0.8,3.5)
4.44 (2.3,8.4)
9.76 (5.2,18.2)
15.34 (8.0,29.6)
19.85 (10.5,37.6)
38.61 (13.5,110.6)
Black
3.14(1.9,5.3)
0.62
0.3,1.1)
1.93 (1.2,3.2)
4.12 (2.5,6.8)
7.38(3.9,14.1)
10.27 (5.0,21.1)
12.57 (5.9,27.0)
18.50 (8.5,40.1)
Other race
5.85 (3.8,9.0)
1.05
0.4,2.9)
3.48(1.4,8.5)
8.20 (4.6,14.6)
14.46 (8.6,24.5)
19.42 (8.9,42.2)
22.57 (8.3,61.1)
34.10 (13.0,89.2)
C-71

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Table C-36. Trophic level 4 fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.55 (1.8,3.7)
0.42 (0.2,1.0)
1.20 (0.6,2.4)
3.29 (1.9,5.7)
6.37 (4.3,9.3)
9.02 (5.5,14.7)
11.12 (6.0,20.5)
17.33 (8.4,35.6)
Northeast
5.57 (2.5,12.7)
0.63 (0.4,1.1)
2.16 (1.3,3.6)
5.54(3.5,8.8)
13.71 (6.3,30.0)
22.42 (8.3,60.6)
34.38 (8.5,139.3)
57.49 (10.8,304.8)
South
3.31 (2.1,5.1)
0.48(0.3,0.9)
1.55 (0.9,2.7)
3.96 (2.4,6.4)
7.83 (4.8,12.7)
11.56 (7.1,18.9)
14.69 (8.9,24.3)
24.67 (15.5,39.2)
West
4.73 (2.7,8.2)
0.74(0.3,2.0)
2.34(0.9,6.0)
6.19 (2.9,13.3)
12.30 (6.6,22.8)
17.20 (10.2,29.1)
21.54 (13.2,35.3)
28.48 (14.3,56.9)
Coastal Status








Noncoastal
3.99 (2.5,6.4)
0.55 (0.3,1.0)
1.76 (1.0,3.2)
4.63 (2.9,7.5)
9.54(6.3,14.6)
14.74 (9.3,23.4)
18.91 (11.7,30.6)
34.14 (16.3,71.6)
Coastal
3.59 (2.5,5.2)
0.50 (0.2,1.1)
1.63 (0.8,3.2)
4.23 (2.6,6.9)
8.86 (6.0,13.2)
13.09 (8.8,19.6)
16.85 (10.7,26.4)
25.89 (13.6,49.1)
Coastal/Inland Region








Pacific
3.41 (2.1,5.5)
0.50 (0.2,1.3)
1.63 (0.7,3.8)
4.38(2.4,8.2)
8.72 (5.2,14.5)
12.98 (6.5,26.0)
16.02 (6.5,39.6)
21.98 (5.7,84.6)
Atlantic
3.72 (2.1,6.6)
0.60 (0.3,1.3)
2.02 (0.9,4.5)
4.73 (2.5,9.0)
9.16 (5.0,16.7)
13.08 (7.4,23.0)
16.41 (9.4,28.7)
25.02 (14.2,44.0)
Gulf of Mexico
4.65 (2.0,10.7)
0.43 (0.2,0.9)
1.55 (0.8,3.1)
4.45 (2.1,9.4)
10.10 (4.7,21.6)
16.59 (7.4,37.4)
24.95 (10.0,62.4)
63.52 (12.6,321.0)
Great Lakes
2.52 (1.3,4.7)
0.36 (0.1,1.1)
1.08(0.5,2.5)
2.67 (1.5,4.8)
5.89 (2.9,11.9)
10.16 (5.0,20.6)
13.90 (6.4,30.2)
22.75 (8.1,64.2)
Inland Northeast
6.58(2.2,19.5)
0.57 (0.3,1.1)
1.98(1.0,3.8)
5.36 (3.1,9.2)
16.82 (5.4,52.6)
34.38 (5.4,218.3)
45.70 (6.4,326.9)
74.42 (7.8,708.6)
Inland Midwest
2.56 (1.7,3.9)
0.44(0.2,1.1)
1.27 (0.6,2.8)
3.47 (1.8,6.8)
6.41 (4.2,9.8)
8.78(5.3,14.5)
10.49 (5.5,19.9)
15.61 (7.4,33.0)
Inland South
2.91 (1.7,5.0)
0.47 (0.2,0.9)
1.45 (0.8,2.7)
3.75 (2.1,6.7)
7.23 (4.0,13.0)
10.51 (5.8,19.1)
13.18 (7.1,24.4)
19.64 (10.8,35.6)
Inland West
5.82 (2.3,14.7)
1.12 (0.3,4.9)
3.24(0.8,13.4)
7.77 (2.6,23.2)
14.54 (5.9,35.7)
19.75 (9.2,42.6)
23.99 (11.5,50.1)
35.38 (16.8,74.5)
C-72

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Table C-37. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean
95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
fiPnHpr
2.70
2.0,3.7)
0.35 (0.2,0.7)
1.17 (0.7,2.0)
3.21 (2.2,4.7)
6.93 (5.1,9.5)
10.55 (7.7,14.5)
13.55 (9.7,18.9)
20.68 (14.0,30.5)
VJCllUCl
Female
2.32
1.7,3.2)
0.31
0.2,0.6)
1.03
0.6,1.7)
2.82 (1.9,4.1)
5.93 (4.3,8.2)
8.99 (6.4,12.6)
11.54 (8.0,16.6)
17.44 (11.5,26.4)
Male
A np
3.15
2.3,4.4)
0.41
0.2,0.8)
1.37
0.8,2.4)
3.76 (2.5,5.7)
8.20 (5.9,11.5)
12.35 (8.8,17.3)
15.92 (11.1,22.8)
24.42 (15.5,38.6)
age
1 to <3 yrs
0.64
0.3,1.3)
0.07
0.0,0.2)
0.23
0.1,0.5)
0.65 (0.3,1.3)
1.62 (0.8,3.4)
2.76 (1.1,6.9)
3.70 (1.5,9.3)
5.88(2.4,14.5)
3 to <6 yrs
0.89
0.5,1.5)
0.11
0.1,0.2)
0.35
0.2,0.7)
0.98(0.6,1.7)
2.35 (1.4,4.0)
3.50 (2.2,5.6)
4.53 (2.8,7.3)
7.48 (4.6,12.1)
6 to <11 yrs
0.98
0.5,1.8)
0.11
0.0,0.3)
0.36
0.2,0.8)
1.07 (0.6,2.0)
2.50 (1.4,4.6)
3.92 (2.2,7.1)
5.33 (2.8,10.2)
8.91 (4.1,19.6)
11 to <16 yrs
1.28
0.6,2.6)
0.15
0.0,0.5)
0.50
0.2,1.3)
1.42 (0.6,3.3)
3.14(1.4,7.1)
5.14(2.6,10.1)
6.61 (3.4,12.9)
10.45 (5.4,20.3)
16 to <18 yrs
1.18
0.7,2.1)
0.14
0.1,0.3)
0.42
0.2,1.0)
1.23 (0.6,2.5)
3.02 (1.6,5.6)
4.94(2.7,9.0)
6.70 (3.6,12.3)
11.31 (5.4,23.8)
18 to <21 yrs
2.28
1.0,5.3)
0.24
0.1,0.5)
0.82
0.4,1.7)
2.41 (1.2,4.8)
5.86 (2.5,13.8)
8.98
3.8,21.0)
12.91 (4.3,39.2)
22.29 (5.6,88.1)
21 to <35 yrs
3.23
2.2,4.6)
0.52
0.3,1.0)
1.59
1.0,2.6)
4.05 (2.6,6.2)
8.21 (5.6,12.1)
11.96
8.2,17.4)
14.88 (10.4,21.3)
21.37 (15.3,29.9)
35 to <50 yrs
3.70
2.5,5.4)
0.66
0.3,1.3)
1.87
1.1,3.1)
4.52 (3.0,6.8)
9.01 (6.2,13.2)
13.82
8.7,22.0)
17.48 (10.5,29.0)
26.20 (14.0,48.9)
50 to <65 yrs
3.28
2.1,5.1)
0.66
0.3,1.6)
1.76
0.9,3.5)
4.15 (2.5,6.9)
8.36 (5.7,12.2)
11.88
8.2,17.2)
14.39 (9.9,20.8)
20.11 (13.7,29.4)
65+ yrs
1 nrn m o
2.59
1.8,3.7)
0.47
0.2,1.0)
1.29
0.7,2.3)
3.14(2.0,4.8)
6.45 (4.6,9.0)
9.44
6.9,12.9)
11.99 (8.8,16.4)
18.19 (12.6,26.4)
1 IllUIIlc
<$20,000
2.20
1.5,3.1)
0.27
0.1,0.5)
0.89
0.5,1.6)
2.57 (1.7,4.0)
5.72 (4.0,8.2)
8.65
6.1,12.2)
11.64 (8.3,16.3)
17.00 (11.9,24.2)
>$20,000
2.79
2.0,3.8)
0.37
0.2,0.7)
1.22
0.7,2.1)
3.31 (2.2,5.0)
7.15 (5.2,9.9)
10.81
7.8,14.9)
13.96 (9.8,19.9)
21.39 (13.9,32.8)
Income unknown
2.86
1.5,5.4)
0.38
0.2,0.9)
1.39
0.6,3.5)
3.83 (1.6,9.1)
7.49 (3.9,14.5)
11.16
5.6,22.2)
12.84 (7.6,21.8)
18.22 (10.8,30.7)
Income, finer detail












<$20,000
2.20
1.5,3.1)
0.27
0.1,0.5)
0.89
0.5,1.6)
2.57 (1.7,4.0)
5.72 (4.0,8.2)
8.65
6.1,12.2)
11.64 (8.3,16.3)
17.00 (11.9,24.2)
$20k-$45k
2.52
1.7,3.6)
0.33
0.2,0.6)
1.06
0.6,1.8)
2.94(1.9,4.5)
6.52 (4.4,9.6)
9.83
6.8,14.2)
12.98 (8.3,20.2)
19.63 (12.5,30.7)
$45k-$75k
2.82
1.8,4.3)
0.37
0.2,0.7)
1.20
0.7,2.1)
3.36 (2.1,5.4)
7.24 (4.7,11.2)
10.84
7.1,16.6)
14.16 (8.8,22.7)
21.51 (12.9,35.7)
$75k+
2.96
2.0,4.4)
0.40
0.2,0.9)
1.35
0.7,2.7)
3.55 (2.1,6.1)
7.59 (5.1,11.3)
11.28
7.9,16.2)
14.86 (10.3,21.5)
22.02 (14.5,33.5)
>$20,000
3.26
1.6,6.5)
0.63
0.2,1.7)
1.58
0.8,3.3)
3.94(1.9,8.0)
8.15 (4.0,16.5)
11.89
5.7,24.6)
15.08 (7.2,31.5)
24.08 (9.0,64.6)
Inc Ref/DK
3.22
1.7,6.0)
0.52
0.2,1.2)
1.59
0.8,3.3)
4.26 (2.0,9.0)
8.04 (4.4,14.6)
11.84
6.3,22.2)
14.50 (7.9,26.8)
21.32 (11.3,40.2)
Inc missing
2.18
0.7,7.1)
0.23
0.1,0.9)
0.92
0.2,3.8)
3.04(0.6,15.1)
5.61 (1.8,17.6)
9.24
2.4,35.5)
11.16 (3.3,37.3)
12.28 (5.6,26.8)
Race/Ethnicity












Mexican American
3.39
2.3,4.9)
0.44
0.2,0.9)
1.44
0.8,2.6)
4.00 (2.4,6.6)
8.81 (6.0,12.9)
13.34
9.5,18.7)
17.19 (12.3,24.0)
26.87 (18.2,39.6)
Other Hispanic
3.73
2.0,6.8)
0.52
0.2,1.3)
1.71
0.8,3.5)
4.52 (2.6,7.9)
9.39 (5.5,15.9)
14.74
7.3,29.7)
18.09 (9.2,35.7)
26.92 (13.1,55.3)
White
2.30
1.6,3.2)
0.30
0.1,0.6)
1.01
0.6,1.8)
2.75 (1.8,4.2)
5.87 (4.1,8.3)
9.02
6.6,12.3)
11.65 (8.4,16.2)
17.41 (12.5,24.2)
Black
2.80
1.9,4.1)
0.42
0.2,0.9)
1.33
0.7,2.4)
3.45 (2.1,5.5)
7.07 (4.7,10.7)
10.59
7.4,15.1)
13.59 (9.8,18.9)
19.89 (13.8,28.6)
Other race
4.75 (2.1,10.9)
0.78
0.3,1.9)
2.56
1.1,6.1)
6.07 (2.8,13.0)
12.05 (5.2,28.0)
17.02
7.1,41.0)
20.49 (8.6,49.0)
30.94 (10.2,93.4)
C-73

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Table C-37. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25
th
50'
ith
75
th
90
ith
95
th
97
'th
99
th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
1.47 (0.8,2.7)
3.65 (2.6,5.0)
3.14 (2.1,4.7)
2.73 (1.7,4.3)
3.25 (1.8,5.7)
3.06 (1.6,6.0)
5.15 (2.6,10.0)
2.33 (1.4,3.8)
4.00 (2.2,7.4)
1.23 (0.6,2.5)
2.67 (1.6,4.5)
2.22 (1.4,3.6)
0.19 (0.1,0.5)
0.56 (0.3,0.9)
0.45 (0.2,0.9)
0.40 (0.2,0.9)
0.49 (0.2,1.1)
0.52 (0.2,1.5)
1.02 (0.3,3.3)
0.32 (0.2,0.7)
0.56 (0.3,1.1)
0.17 (0.1,0.4)
0.37 (0.2,0.8)
0.33 (0.1,0.8)
0.61 (0.3,1.5)
1.81 (1.2,2.8)
1.46 (0.8,2.6)
1.28(0.7,2.5)
2.31(1.7,3.1) 0.28(0.1,0.6) 0.95(0.6,1.6)
3.31(2.2,4.9) 0.52(0.2,1.1) 1.63(0.9,3.0)
1.59 (0.8,3.3)
1.58(0.6,4.0)
3.00 (1.1,7.9)
1.02 (0.5,2.1)
1.89 (1.1,3.3)
0.54(0.2,1.3)
1.21 (0.7,2.2)
1.04(0.5,2.2)
1.69 (0.8,3.5)
4.63 (3.2,6.6)
3.88(2.5,6.1)
3.24(1.9,5.6)
2.64(1.8,3.9)
4.12 (2.5,6.7)
3.95 (2.1,7.3)
3.88(1.8,8.3)
6.95 (3.3,14.9)
2.75 (1.6,4.8)
5.07 (2.8,9.4)
1.43 (0.7,3.1)
3.26 (1.9,5.7)
2.58(1.3,5.0)
3.64(1.9,7.1)
9.09 (6.4,12.8)
8.07 (5.5,11.9)
6.94 (4.3,11.1)
5.84	(4.2,8.0)
8.38(5.7,12.4)
8.20 (4.6,14.7)
7.56 (3.8,15.0)
13.23 (7.0,25.1)
5.85	(3.5,9.6)
10.11 (5.5,18.7)
3.05 (1.4,6.5)
6.69 (4.1,10.9)
5.47 (3.2,9.3)
5.69 (3.2,10.0)
13.48 (9.3,19.6)
12.09 (8.1,18.1)
10.36 (6.4,16.7)
9.25 (6.5,13.2)
12.33 (8.6,17.6)
11.98 (6.6,21.6)
11.03 (6.1,19.9)
17.15 (10.2,29.0)
8.98(5.3,15.3)
14.86 (7.5,29.3)
4.72 (2.4,9.3)
10.06 (6.0,16.9)
8.69 (5.5,13.6)
7.56 (4.5,12.6)
17.02 (11.4,25.4)
15.39 (10.0,23.6)
13.34 (7.9,22.4)
12.04 (8.1,17.9)
15.68 (10.9,22.6)
15.23 (8.2,28.4)
14.38 (8.9,23.1)
21.02 (12.2,36.1)
11.31 (6.4,20.0)
18.50 (9.3,36.6)
6.12 (3.1,11.9)
13.14 (7.2,23.9)
11.22 (6.9,18.1)
12.13 (7.4,19.9)
25.27 (15.5,41.3)
22.40 (14.6,34.3)
20.64 (10.9,39.3)
18.66 (11.8,29.6)
22.64 (15.6,33.0)
24.08 (10.3,56.5)
20.55 (12.8,33.0)
29.82 (17.5,50.7)
16.76 (9.4,29.9)
28.42 (11.9,68.0)
10.23 (5.6,18.8)
19.89 (10.6,37.5)
16.99 (10.0,28.8)
C-74

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Table C-38. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
3.29 (2.4,4.4)
0.59 (0.3,1.1)
1.66 (1.0,2.7)
4.07 (2.9,5.8)
8.23 (6.1,11.1)
12.08 (8.8,16.6)
15.25 (10.9,21.4)
22.56 (15.2,33.4)
vjcllUcl
Female
2.80 (2.1,3.8)
0.51
0.3,0.9)
1.44
0.9,2.3)
3.46 (2.4,5.0)
6.87 (5.0,9.4)
10.17 (7.3,14.3)
12.79 (8.9,18.4)
19.30 (12.1,30.9)
Male
A fTQ
3.92 (2.8,5.4)
0.72
0.4,1.5)
2.03
1.2,3.4)
4.87 (3.3,7.3)
9.79 (7.0,13.6)
14.42 (10.3,20.3)
17.55 (12.6,24.4)
26.51 (17.1,41.2)
Mge
21 to <35 yrs
3.23 (2.2,4.6)
0.52
0.3,1.0)
1.59
1.0,2.6)
4.05 (2.6,6.2)
8.21 (5.6,12.1)
11.96 (8.2,17.4)
14.88 (10.4,21.3)
21.37 (15.3,29.9)
35 to <50 yrs
3.70 (2.5,5.4)
0.66
0.3,1.3)
1.87
1.1,3.1)
4.52 (3.0,6.8)
9.01 (6.2,13.2)
13.82 (8.7,22.0)
17.48 (10.5,29.0)
26.20 (14.0,48.9)
50 to <65 yrs
3.28(2.1,5.1)
0.66
0.3,1.6)
1.76
0.9,3.5)
4.15 (2.5,6.9)
8.36 (5.7,12.2)
11.88 (8.2,17.2)
14.39 (9.9,20.8)
20.11 (13.7,29.4)
65+ yrs
2.59 (1.8,3.7)
0.47
0.2,1.0)
1.29
0.7,2.3)
3.14(2.0,4.8)
6.45 (4.6,9.0)
9.44(6.9,12.9)
11.99 (8.8,16.4)
18.19 (12.6,26.4)
WCA (13-49 years)
2.60 (1.8,3.7)
0.38
0.2,0.7)
1.23
0.8,2.0)
3.22 (2.2,4.8)
6.51 (4.6,9.1)
9.75 (6.7,14.2)
12.43 (8.2,18.8)
18.56 (11.7,29.4)
1 IllUlllc
<$20,000
2.66 (1.8,3.8)
0.40
0.2,0.8)
1.26
0.7,2.2)
3.27 (2.1,5.0)
6.68(4.6,9.7)
10.42 (7.5,14.5)
13.28 (9.4,18.8)
18.46 (12.4,27.6)
>$20,000
3.40 (2.5,4.6)
0.63
0.3,1.2)
1.73
1.0,2.9)
4.18(2.9,6.1)
8.46 (6.2,11.6)
12.35 (8.9,17.1)
15.73 (10.9,22.7)
23.27 (15.1,35.9)
Income unknown
3.51 (1.8,6.7)
0.58
0.3,1.3)
1.95
o
CO
V
4.89 (2.0,12.0)
8.60 (4.7,15.9)
11.91 (6.9,20.5)
14.42 (8.4,24.8)
21.32 (11.3,40.2)
Income, finer detail










<$20,000
2.66 (1.8,3.8)
0.40
0.2,0.8)
1.26
0.7,2.2)
3.27 (2.1,5.0)
6.68(4.6,9.7)
10.42 (7.5,14.5)
13.28 (9.4,18.8)
18.46 (12.4,27.6)
$20k-$45k
3.01 (2.1,4.2)
0.52
0.3,1.0)
1.45
0.9,2.4)
3.66 (2.5,5.4)
7.57 (5.3,10.8)
11.27 (7.6,16.7)
14.11 (9.7,20.5)
21.32 (13.8,32.9)
$45k-$75k
3.42 (2.2,5.2)
0.61
0.3,1.2)
1.72
1.0,3.0)
4.20 (2.6,6.7)
8.67 (5.4,13.9)
12.49 (7.9,19.6)
16.00 (9.7,26.4)
22.80 (14.3,36.5)
$75k+
3.68(2.5,5.4)
0.74
0.3,1.8)
1.97
1.0,3.8)
4.59 (2.8,7.5)
8.95 (6.0,13.3)
13.19 (9.3,18.8)
16.95 (11.6,24.8)
24.64 (15.3,39.6)
>$20,000
3.66 (1.9,7.0)
0.81
0.3,1.9)
1.88
0.8,4.2)
4.43 (2.2,9.0)
9.04 (4.7,17.5)
13.08 (6.6,26.0)
15.69 (8.1,30.5)
25.94 (9.6,70.0)
Inc Ref/DK
3.80 (2.1,7.0)
0.72
0.3,1.5)
2.07
1.1,4.0)
5.08(2.6,10.1)
9.55 (4.9,18.6)
13.65 (7.0,26.7)
15.92 (8.7,29.1)
23.16 (12.0,44.7)
Inc missing
2.85 (0.8,10.4)
0.32
0.1,1.5)
1.56
0.3,8.1)
4.08(0.8,20.8)
7.72 (1.8,33.0)
11.16 (2.5,50.1)
11.86 (3.9,36.5)
14.22 (5.5,37.1)
Race/Ethnicity










Mexican American
4.59 (3.2,6.6)
0.86
0.4,1.7)
2.45
1.4,4.3)
5.70 (3.6,9.1)
11.39 (8.0,16.2)
16.28 (11.6,22.9)
20.68 (14.7,29.0)
30.29 (20.2,45.5)
Other Hispanic
4.89 (2.8,8.7)
1.02
0.5,2.2)
2.67
1.5,4.8)
6.29 (3.6,11.1)
11.80 (6.8,20.3)
17.67 (8.5,36.7)
21.46 (10.5,43.7)
30.05 (15.0,60.3)
White
2.76 (2.0,3.9)
0.50
0.2,1.0)
1.40
0.8,2.5)
3.40 (2.2,5.1)
6.86 (4.9,9.6)
10.16 (7.4,13.9)
12.80 (9.3,17.7)
18.67 (13.3,26.1)
Black
3.54(2.4,5.3)
0.74
0.4,1.5)
2.00
1.2,3.5)
4.56 (2.9,7.1)
8.64(5.8,12.8)
12.45 (8.8,17.6)
15.60 (11.2,21.8)
21.65 (14.6,32.0)
Other race
5.99 (2.7,13.2)
1.48
0.7,3.3)
3.66
1.7,7.8)
7.55 (3.9,14.8)
14.86 (5.8,38.1)
19.80 (7.9,49.9)
24.47 (9.0,66.6)
36.74 (9.7,139.5)
C-75

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Table C-38. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.80 (1.0,3.3)
0.32 (0.1,0.9)
0.87 (0.3,2.2)
2.17 (1.1,4.3)
4.40 (2.4,8.1)
6.70 (3.9,11.4)
8.62 (5.2,14.3)
12.97 (7.6,22.1)
Northeast
4.37 (3.2,6.0)
0.94(0.6,1.6)
2.51 (1.6,3.8)
5.61 (4.0,7.9)
10.70 (7.5,15.2)
14.86 (10.3,21.5)
18.23 (12.5,26.5)
26.51 (16.8,41.9)
South
3.82 (2.6,5.6)
0.76 (0.4,1.5)
2.09 (1.2,3.6)
4.80 (3.1,7.4)
9.47 (6.5,13.8)
13.76 (9.3,20.5)
16.81 (11.5,24.6)
24.79 (15.6,39.3)
West
3.40 (2.1,5.4)
0.68(0.3,1.4)
1.82 (1.0,3.3)
4.18(2.5,6.9)
8.39 (5.1,13.7)
12.01 (7.2,20.1)
15.18 (8.7,26.5)
22.90 (11.6,45.4)
Coastal Status








Noncoastal
2.83 (2.1,3.8)
0.47 (0.2,0.9)
1.36 (0.8,2.2)
3.38(2.4,4.8)
6.99 (5.1,9.6)
10.69 (7.4,15.5)
13.50 (9.1,20.1)
20.73 (12.7,33.8)
Coastal
4.02 (2.7,6.0)
0.86 (0.4,1.8)
2.29 (1.3,4.1)
5.09 (3.2,8.2)
9.73 (6.7,14.2)
14.09 (9.9,20.1)
17.09 (12.1,24.2)
24.90 (16.7,37.1)
Coastal/Inland Region








Pacific
3.94(2.2,7.0)
0.84(0.4,1.9)
2.24(1.1,4.5)
4.96 (2.7,9.1)
9.38(5.3,16.7)
13.77 (7.3,26.0)
16.70 (8.9,31.2)
26.68 (10.5,68.1)
Atlantic
3.68(1.9,7.2)
0.84(0.3,2.6)
2.19 (0.9,5.2)
4.69 (2.2,10.2)
8.65 (4.4,17.1)
12.44 (7.1,21.9)
15.68 (9.7,25.4)
22.00 (13.6,35.6)
Gulf of Mexico
6.34(3.4,11.9)
1.72 (0.6,5.2)
4.28(1.8,10.3)
8.71 (4.4,17.3)
15.08 (8.4,26.9)
19.41 (11.5,32.8)
22.47 (13.8,36.5)
30.53 (18.9,49.3)
Great Lakes
2.91 (1.8,4.7)
0.60 (0.3,1.3)
1.57 (0.8,3.0)
3.47 (2.0,6.1)
7.08(4.3,11.6)
10.14 (6.1,16.9)
12.55 (7.4,21.4)
19.78 (9.6,40.6)
Inland Northeast
4.74(2.7,8.5)
0.93 (0.5,1.8)
2.63 (1.5,4.6)
6.14(3.5,10.8)
11.79 (6.2,22.3)
15.92 (8.8,28.8)
19.70 (10.6,36.7)
29.62 (13.7,64.2)
Inland Midwest
1.51 (0.7,3.1)
0.28(0.1,0.8)
0.75 (0.3,1.9)
1.83 (0.8,3.9)
3.64(1.7,7.6)
5.50 (2.8,10.7)
7.04(3.7,13.5)
11.20 (6.0,20.9)
Inland South
3.29 (2.0,5.5)
0.63 (0.3,1.3)
1.73 (1.0,3.1)
4.07 (2.5,6.7)
8.11 (4.8,13.8)
11.72 (6.7,20.4)
14.81 (8.2,26.8)
22.44 (11.1,45.5)
Inland West
2.81 (1.8,4.4)
0.59 (0.3,1.3)
1.50 (0.8,2.9)
3.39 (2.0,5.9)
6.61 (4.1,10.6)
10.37 (6.3,17.0)
12.96 (7.8,21.5)
18.56 (11.0,31.2)
C-76

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Table C-39. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years

Mean







Percentiles (95% CI)



95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
1.22
0.8,1.9)
0.13 (0.1,0.3)
0.42 (0.2,0.8)
1.24(0.8,2.0)
3.02 (2.0,4.6)
4.96 (3.2,7.7)
6.76 (4.2,10.9)
11.83 (6.3,22.2)
oenaer
Female
1.03
0.6,1.7)
0.11
0.0,0.2)
0.35
0.2,0.6)
1.07
0.6,1.8)
2.65 (1.6,4.4)
4.30 (2.5,7.3)
5.76 (3.3,10.2)
9.66
4.9,18.9)
Male
Anp
1.41
0.9,2.2)
0.16
0.1,0.3)
0.50
0.3,0.9)
1.46
0.9,2.4)
3.40 (2.2,5.3)
5.69 (3.7,8.8)
7.84(4.8,12.7)
14.16
7.0,28.9)
Mge
1 to <3 yrs
0.64
0.3,1.3)
0.07
0.0,0.2)
0.23
0.1,0.5)
0.65
0.3,1.3)
1.62 (0.8,3.4)
2.76 (1.1,6.9)
3.70 (1.5,9.3)
5.88
2.4,14.5)
3 to <6 yrs
0.89
0.5,1.5)
0.11
0.1,0.2)
0.35
0.2,0.7)
0.98
0.6,1.7)
2.35 (1.4,4.0)
3.50 (2.2,5.6)
4.53 (2.8,7.3)
7.48
4.6,12.1)
6 to <11 yrs
0.98
0.5,1.8)
0.11
0.0,0.3)
0.36
0.2,0.8)
1.07
0.6,2.0)
2.50 (1.4,4.6)
3.92 (2.2,7.1)
5.33 (2.8,10.2)
8.91
4.1,19.6)
11 to <16 yrs
1.28
0.6,2.6)
0.15
0.0,0.5)
0.50
0.2,1.3)
1.42
0.6,3.3)
3.14(1.4,7.1)
5.14(2.6,10.1)
6.61 (3.4,12.9)
10.45
5.4,20.3)
16 to <18 yrs
1.18
0.7,2.1)
0.14
0.1,0.3)
0.42
0.2,1.0)
1.23
0.6,2.5)
3.02 (1.6,5.6)
4.94(2.7,9.0)
6.70 (3.6,12.3)
11.31
5.4,23.8)
18 to <21 yrs
2.28
1.0,5.3)
0.24
0.1,0.5)
0.82
0.4,1.7)
2.41
1.2,4.8)
5.86 (2.5,13.8)
8.98(3.8,21.0)
12.91 (4.3,39.2)
22.29
5.6,88.1)
1 IllUlllc
<$20,000
1.25
0.8,2.0)
0.13
0.1,0.3)
0.43
0.2,0.8)
1.26
0.7,2.1)
3.05 (2.0,4.7)
5.10 (3.1,8.3)
6.91 (4.1,11.8)
12.86
5.6,29.8)
>$20,000
1.20
0.8,1.9)
0.12
0.1,0.3)
0.41
0.2,0.7)
1.21
0.7,2.0)
2.98(1.9,4.6)
4.89 (3.1,7.7)
6.72 (4.1,10.9)
11.55
6.3,21.0)
Income unknown
1.39
0.6,3.1)
0.21
0.1,0.9)
0.62
0.2,2.0)
1.68
0.6,4.9)
3.41 (1.5,7.6)
5.26 (2.5,11.1)
7.05 (3.1,16.3)
9.57
3.7,24.8)
Income, finer detail













<$20,000
1.25
0.8,2.0)
0.13
0.1,0.3)
0.43
0.2,0.8)
1.26
0.7,2.1)
3.05 (2.0,4.7)
5.10 (3.1,8.3)
6.91 (4.1,11.8)
12.86
5.6,29.8)
$20k-$45k
1.27
0.7,2.3)
0.13
0.1,0.3)
0.42
0.2,0.8)
1.23
0.7,2.2)
3.09 (1.7,5.5)
4.99 (2.9,8.7)
6.88(3.8,12.4)
13.34
5.2,34.5)
$45k-$75k
1.13
0.7,1.9)
0.12
0.1,0.3)
0.39
0.2,0.8)
1.14
0.6,2.0)
2.78(1.7,4.6)
4.53 (2.8,7.4)
6.46 (3.7,11.4)
10.32
6.1,17.4)
$75k+
1.14
0.7,1.8)
0.12
0.0,0.3)
0.39
0.2,0.8)
1.20
0.7,2.2)
2.86 (1.8,4.6)
4.89 (3.1,7.7)
6.55 (4.1,10.4)
10.28
6.1,17.4)
>$20,000
1.99
0.7,5.8)
0.28
0.1,0.9)
0.86
0.3,2.3)
2.45
0.8,7.3)
4.82 (1.8,13.1)
7.36 (2.5,21.7)
9.93 (3.0,33.0)
17.64 (3.1,101.6)
Inc Ref/DK
1.64
0.6,4.3)
0.25
0.1,0.8)
0.78
0.2,2.8)
2.11
0.6,7.8)
4.46 (1.4,14.1)
6.36 (2.3,17.4)
7.83 (3.0,20.6)
11.67
4.6,29.6)
Inc missing
1.05
0.3,3.2)
0.15
0.0,0.9)
0.50
0.1,2.8)
1.40
0.3,7.0)
2.90 (0.7,12.4)
3.39 (0.9,12.8)
4.30 (1.1,17.0)
6.39
1.1,38.2)
Race/Ethnicity













Mexican American
1.56
1.0,2.6)
0.21
0.1,0.5)
0.61
0.3,1.3)
1.66
0.9,3.1)
3.82 (2.3,6.4)
6.21 (3.8,10.0)
8.46 (5.2,13.8)
13.92
8.4,23.1)
Other Hispanic
1.63
0.7,3.6)
0.19
0.1,0.4)
0.63
0.2,1.6)
1.89
0.8,4.7)
4.02 (2.0,8.0)
6.54(3.0,14.4)
8.81 (3.7,21.0)
13.12
6.1,28.1)
White
0.96
0.6,1.5)
0.10
0.0,0.2)
0.31
0.2,0.6)
0.95
0.6,1.6)
2.31 (1.5,3.6)
3.85 (2.5,6.0)
5.32 (3.4,8.4)
9.22
5.4,15.7)
Black
1.31
0.8,2.1)
0.18
0.1,0.4)
0.55
0.3,1.1)
1.47
0.8,2.6)
3.21 (1.9,5.3)
5.02 (3.2,8.0)
6.60 (4.1,10.5)
11.38
6.8,19.0)
Other race
2.13
0.8,5.6)
0.28
0.1,0.9)
0.91
0.4,2.4)
2.56
1.0,6.7)
5.68(2.0,16.3)
8.01 (3.2,20.3)
11.31 (3.3,38.3)
14.48
6.2,34.1)
C-77

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Table C-39. Trophic level 2 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 year (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.63 (0.3,1.4)
0.07 (0.0,0.2)
0.21 (0.1,0.5)
0.62 (0.3,1.5)
1.53 (0.7,3.6)
2.63 (1.2,5.7)
3.49 (1.6,7.8)
6.08(2.7,13.5)
Northeast
1.78 (1.0,3.3)
0.21 (0.1,0.4)
0.64(0.4,1.1)
1.79 (1.2,2.7)
4.46 (2.4,8.2)
7.34(3.3,16.3)
9.38(4.4,20.2)
19.63 (4.2,92.7)
South
1.39 (0.8,2.4)
0.16 (0.1,0.4)
0.52 (0.3,1.0)
1.53 (0.8,2.8)
3.45 (2.1,5.8)
5.57 (3.2,9.6)
7.30 (4.3,12.4)
12.52 (6.6,23.9)
West
1.22 (0.7,2.1)
0.15 (0.1,0.4)
0.46 (0.2,1.0)
1.35 (0.7,2.5)
3.06 (1.7,5.4)
4.94(2.8,8.7)
6.65 (3.7,11.9)
11.09 (6.0,20.7)
Coastal Status








Noncoastal
1.03 (0.7,1.6)
0.10 (0.0,0.2)
0.34(0.2,0.6)
1.02 (0.6,1.7)
2.44(1.6,3.8)
4.07 (2.7,6.2)
5.69 (3.5,9.1)
10.05 (5.5,18.4)
Coastal
1.52 (0.9,2.5)
0.19 (0.1,0.4)
0.58(0.3,1.1)
1.69 (1.0,2.9)
3.82 (2.3,6.2)
6.19 (3.7,10.4)
8.01 (4.8,13.2)
13.08 (7.5,22.7)
Coastal/Inland Region








Pacific
1.46 (0.8,2.7)
0.17 (0.1,0.4)
0.55 (0.3,1.2)
1.62 (0.8,3.2)
3.67 (1.9,7.0)
6.11 (3.0,12.5)
7.83 (3.9,15.7)
13.08 (5.5,31.0)
Atlantic
1.37 (0.8,2.4)
0.18(0.1,0.4)
0.54(0.2,1.2)
1.56 (0.8,3.0)
3.29 (1.7,6.2)
5.39 (3.1,9.2)
6.83 (4.0,11.7)
11.52 (6.8,19.6)
Gulf of Mexico
2.51 (1.1,5.9)
0.41 (0.1,1.4)
1.15 (0.4,3.3)
2.98(1.2,7.7)
6.31 (2.6,15.1)
8.93 (4.2,19.1)
12.27 (5.2,28.7)
19.16 (7.9,46.5)
Great Lakes
1.04(0.5,2.1)
0.12 (0.0,0.3)
0.36 (0.2,0.8)
1.00 (0.4,2.5)
2.69 (1.3,5.5)
4.11 (1.9,8.8)
5.78(2.7,12.4)
10.72 (4.1,27.8)
Inland Northeast
2.03 (0.8,5.5)
0.22 (0.1,0.4)
0.68(0.4,1.3)
1.94(1.1,3.5)
5.18(1.9,14.4)
8.56 (2.5,28.8)
10.22 (3.8,27.5)
22.56 (3.2,160.0)
Inland Midwest
0.51 (0.2,1.1)
0.06 (0.0,0.2)
0.18(0.1,0.5)
0.53 (0.2,1.2)
1.25 (0.5,2.9)
2.06 (0.9,4.5)
2.78(1.3,6.1)
4.26 (1.6,11.1)
Inland South
1.10 (0.6,2.0)
0.13 (0.1,0.3)
0.41 (0.2,0.8)
1.17 (0.7,2.1)
2.75 (1.6,4.8)
4.32 (2.4,7.7)
5.76 (3.1,10.7)
10.27 (4.3,24.2)
Inland West
1.02 (0.5,1.9)
0.13 (0.1,0.3)
0.40 (0.2,0.9)
1.13 (0.5,2.4)
2.44(1.2,5.1)
4.01 (2.1,7.8)
5.10 (2.6,9.9)
8.98(5.0,16.0)
C-78

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Table C-40. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
5C
Ith
75th
90th
95th
97th
99th
Total
fiPnHor
3.30 (2.4,4.5)
0.53 (0.3,1.0)
1.63 (1.0,2.7)
4.09 (2.9,5.8)
8.23 (6.0,11.3)
12.15 (8.5,17.4)
15.41 (10.2,23.4)
22.99 (13.9,38.0)
VJCllUCl
Female
2.73 (1.9,3.9)
0.44
0.2,0.9)
1.39
0.8,2.5)
3.42 (2.3,5.2)
6.84 (4.9,9.6)
9.96 (7.1,14.1)
12.39 (8.5,18.0)
18.65 (11.8,29.5)
Male
A np
3.99 (2.9,5.5)
0.66
0.4,1.1)
2.00
1.3,3.1)
5.03 (3.7,6.9)
9.93 (7.1,13.9)
14.66 (9.5,22.6)
18.26 (11.4,29.4)
27.22 (15.0,49.3)
age
1 to <3 yrs
0.76 (0.4,1.7)
0.10
0.0,0.2)
0.29
0.2,0.6)
0.83 (0.4,1.6)
1.87 (0.9,4.0)
3.00 (1.3,7.2)
4.17 (1.5,11.6)
6.99 (2.1,22.7)
3 to <6 yrs
1.01 (0.6,1.7)
0.13
0.1,0.3)
0.42
0.2,0.8)
1.15 (0.7,2.0)
2.53 (1.5,4.3)
3.91 (2.3,6.8)
5.39 (2.8,10.2)
8.39 (4.2,16.7)
6 to <11 yrs
1.45 (0.9,2.3)
0.21
0.1,0.5)
0.62
0.3,1.3)
1.62 (0.8,3.2)
3.66 (2.3,5.8)
5.79 (3.8,8.8)
7.61 (4.7,12.2)
12.50 (6.6,23.7)
11 to <16 yrs
1.56 (0.9,2.7)
0.19
0.1,0.6)
0.63
0.3,1.4)
1.73 (0.9,3.4)
3.95 (2.3,6.9)
6.12 (3.4,10.9)
8.10 (4.4,15.0)
12.47 (6.7,23.2)
16 to <18 yrs
1.64(1.0,2.7)
0.23
0.1,0.6)
0.72
0.4,1.4)
2.06 (1.2,3.5)
4.18(2.5,6.9)
6.18(3.7,10.2)
7.85 (4.7,13.2)
12.70 (7.2,22.3)
18 to <21 yrs
2.98(1.2,7.4)
0.42
0.2,0.9)
1.35
0.6,3.1)
3.30 (1.7,6.5)
7.19 (3.1,16.4)
11.94 (3.6,39.5)
15.91 (4.1,62.0)
26.16 (5.3,130.0)
21 to <35 yrs
3.93 (2.6,5.9)
0.77
0.5,1.2)
2.08
1.4,3.0)
4.95 (3.4,7.1)
9.43 (6.2,14.4)
13.88 (8.1,23.7)
17.63 (9.5,32.7)
25.99 (13.4,50.4)
35 to <50 yrs
3.89 (2.6,5.9)
0.88
0.4,1.9)
2.20
1.1,4.2)
5.00 (3.2,7.8)
9.34(6.3,13.8)
13.30 (8.9,19.8)
16.75 (11.0,25.5)
23.34 (14.8,36.8)
50 to <65 yrs
4.76 (3.3,6.8)
1.20
0.6,2.5)
2.87
1.7,4.9)
5.98(4.0,8.9)
11.08 (7.7,16.0)
15.75 (10.0,24.8)
19.30 (11.6,32.0)
28.05 (14.7,53.6)
65+ yrs
1 nrn m o
3.18(2.1,4.8)
0.71
0.3,1.8)
1.78
0.9,3.7)
4.01 (2.5,6.5)
7.53 (5.1,11.2)
10.80 (7.4,15.7)
13.68 (9.3,20.0)
20.24 (12.5,32.8)
1 IllUIIlc
<$20,000
3.41 (2.5,4.7)
0.50
0.3,0.9)
1.57
1.0,2.5)
4.11 (3.0,5.7)
8.48(6.2,11.5)
12.97 (8.5,19.8)
16.48 (10.1,26.8)
25.89 (13.0,51.5)
>$20,000
3.21 (2.3,4.5)
0.53
0.3,1.0)
1.61
0.9,2.8)
3.99 (2.7,5.9)
8.01 (5.7,11.2)
11.73 (8.2,16.7)
14.86 (9.9,22.2)
22.10 (13.7,35.7)
Income unknown
4.94(2.4,10.3)
0.90
0.4,2.1)
2.71
1.2,6.2)
6.63 (2.9,15.1)
12.08 (6.0,24.4)
17.50 (8.1,37.8)
21.17 (9.8,45.6)
28.43 (14.9,54.4)
Income, finer detail










<$20,000
3.41 (2.5,4.7)
0.50
0.3,0.9)
1.57
1.0,2.5)
4.11 (3.0,5.7)
8.48(6.2,11.5)
12.97 (8.5,19.8)
16.48 (10.1,26.8)
25.89 (13.0,51.5)
$20k-$45k
2.83 (2.0,4.0)
0.46
0.2,0.8)
1.40
0.8,2.3)
3.57 (2.5,5.1)
7.04(5.0,10.0)
10.27 (7.1,14.8)
13.10 (8.6,19.9)
19.69 (12.2,31.7)
$45k-$75k
3.16 (2.2,4.5)
0.47
0.2,1.0)
1.53
0.9,2.7)
3.92 (2.6,5.8)
8.06 (5.5,11.8)
11.59 (7.7,17.4)
14.72 (9.3,23.4)
21.52 (12.7,36.5)
$75k+
3.56 (2.4,5.3)
0.64
0.3,1.3)
1.85
0.9,3.8)
4.42 (2.6,7.5)
8.72 (5.9,12.8)
13.00 (9.0,18.7)
16.45 (10.9,24.8)
24.47 (14.7,40.7)
>$20,000
3.30 (1.1,9.6)
0.65
0.2,1.8)
1.71
0.8,3.7)
4.15 (1.6,10.6)
8.25 (2.5,26.8)
11.13 (3.6,34.4)
14.44 (3.8,55.4)
20.65 (5.0,85.2)
Inc Ref/DK
4.70 (2.0,10.9)
0.87
0.4,2.0)
2.58
1.1,5.9)
6.30 (2.6,15.1)
11.51 (5.0,26.3)
16.75 (6.4,43.8)
19.63 (7.9,48.7)
26.92 (10.2,71.1)
Inc missing
5.40 (1.8,16.4)
0.93
0.2,3.8)
2.99 (0.8,11.7)
7.51 (2.0,28.4)
13.54 (4.5,40.6)
17.76 (6.8,46.6)
24.69 (8.0,76.1)
34.15 (11.8,99.1)
Race/Ethnicity










Mexican American
3.37 (2.3,5.0)
0.52
0.3,1.0)
1.62
0.9,2.8)
4.15 (2.6,6.5)
8.43 (5.7,12.5)
12.57 (8.6,18.4)
15.76 (10.6,23.3)
23.41 (14.9,36.9)
Other Hispanic
3.59 (2.1,6.0)
0.59
0.3,1.1)
1.95
1.1,3.6)
4.72 (2.7,8.1)
8.86 (5.4,14.5)
12.75 (7.4,22.1)
15.45 (9.0,26.6)
22.63 (12.1,42.3)
White
2.72 (1.9,3.9)
0.45
0.2,0.9)
1.38
0.8,2.5)
3.36 (2.1,5.3)
6.75 (4.8,9.6)
9.80 (6.9,14.0)
12.50 (8.4,18.6)
18.99 (11.5,31.3)
Black
4.23 (3.1,5.9)
0.81
0.4,1.5)
2.38
1.5,3.9)
5.39 (3.6,8.0)
10.39 (7.6,14.2)
14.58 (10.5,20.3)
18.02 (12.6,25.8)
26.51 (16.9,41.5)
Other race
7.18 (3.9,13.3)
1.63
0.9,3.0)
4.57
2.8,7.6)
9.68(5.6,16.7)
16.94 (8.8,32.7)
23.34 (10.7,50.8)
27.55 (12.5,60.9)
39.74 (14.4,110.0)
C-79

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Table C-40. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, all ages (continued)





Percentiles (95% CI]



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.01 (1.3,3.1)
0.32 (0.2,0.6)
0.98(0.5,1.8)
2.47 (1.5,4.0)
4.97 (3.3,7.5)
7.23 (4.8,11.0)
9.45 (5.9,15.2)
14.30 (8.3,24.7)
Northeast
3.67 (2.6,5.2)
0.61 (0.3,1.2)
1.93 (1.1,3.4)
4.65 (3.1,6.9)
9.34(6.3,13.8)
13.62 (8.1,22.8)
16.45 (9.6,28.1)
23.94 (12.3,46.7)
South
4.13 (2.9,5.8)
0.72 (0.4,1.2)
2.10 (1.3,3.5)
5.19 (3.6,7.5)
10.16 (7.2,14.3)
14.86 (10.1,21.9)
18.80 (12.2,29.0)
28.68 (16.0,51.4)
West
3.22 (2.1,5.0)
0.59 (0.3,1.3)
1.73 (0.9,3.4)
4.24(2.7,6.7)
8.02 (5.1,12.6)
11.29 (7.0,18.3)
14.11 (8.3,23.9)
20.15 (10.8,37.5)
Coastal Status








Noncoastal
2.69 (1.9,3.8)
0.43 (0.2,0.8)
1.33 (0.8,2.3)
3.30 (2.2,5.0)
6.74 (4.8,9.4)
9.80 (6.7,14.3)
12.74 (7.9,20.5)
18.80 (10.7,33.1)
Coastal
4.26 (3.1,5.9)
0.78(0.4,1.4)
2.28(1.3,3.9)
5.40 (3.6,8.0)
10.48 (7.5,14.6)
15.16 (10.6,21.6)
18.85 (12.7,28.0)
27.79 (16.8,45.9)
Coastal/Inland Region








Pacific
3.54(2.1,6.0)
0.66 (0.3,1.5)
1.97 (1.0,3.9)
4.72 (2.7,8.3)
8.72 (5.1,15.0)
12.05 (7.0,20.9)
14.99 (8.4,26.8)
21.41 (10.9,42.1)
Atlantic
4.16 (2.6,6.8)
0.84(0.3,2.2)
2.34(1.0,5.4)
5.27 (2.8,10.0)
10.22 (6.6,15.8)
14.66 (9.6,22.3)
18.08 (11.5,28.4)
26.76 (14.2,50.3)
Gulf of Mexico
7.64 (4.5,13.1)
1.69 (0.6,4.8)
4.81 (2.2,10.6)
10.30 (5.7,18.5)
18.24 (11.2,29.8)
24.73 (15.4,39.8)
29.89 (17.7,50.4)
41.81 (21.8,80.2)
Great Lakes
2.79 (1.8,4.4)
0.48(0.2,1.0)
1.46 (0.7,2.9)
3.59 (2.2,5.9)
6.86 (4.4,10.8)
9.95 (6.0,16.4)
12.14 (7.3,20.2)
17.74 (10.0,31.6)
Inland Northeast
3.05 (2.0,4.6)
0.49 (0.2,1.2)
1.55 (0.7,3.5)
3.70 (1.9,7.0)
7.66 (5.2,11.2)
11.23 (7.4,17.0)
14.03 (8.7,22.7)
20.19 (11.2,36.5)
Inland Midwest
1.79 (1.1,2.8)
0.29 (0.2,0.5)
0.88(0.5,1.6)
2.19 (1.4,3.5)
4.53 (2.8,7.3)
6.36 (4.0,10.1)
8.35 (4.8,14.5)
13.53 (6.0,30.5)
Inland South
3.29 (2.3,4.7)
0.55 (0.3,0.9)
1.71 (1.1,2.6)
4.12 (2.9,5.8)
8.16 (5.6,11.9)
11.56 (7.5,17.8)
14.61 (8.8,24.4)
22.56 (11.0,46.4)
Inland West
2.91 (1.8,4.8)
0.54(0.2,1.4)
1.52 (0.6,3.6)
3.70 (2.1,6.5)
7.29 (4.5,11.9)
10.18 (6.0,17.2)
12.97 (7.3,23.1)
19.32 (9.4,39.7)
C-80

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Table C-41. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90
th
95th
97th
99th
All Adults
3.99 (2.9,5.4)
0.87 (0.5,1.7)
2.24(1.3,3.7)
5.06 (3.6,7.1)
9.51 (7.0,13.0)
13.78 (9.5,20.1)
17.31 (11.1,27.0)
25.10 (14.9,42.2)
VJcMUcl
Female
3.26 (2.3,4.7)
0.73
0.4,1.5)
1.87 (1.1,3.3)
4.18 (2.8,6.2)
7.77
5.5,11.0)
10.90 (7.7,15.5)
13.77 (9.4,20.2)
19.84 (12.5,31.4)
Male
A fTQ
4.93 (3.6,6.8)
1.13
0.6,2.1)
2.86 (1.9,4.4)
6.30 (4.6,8.6)
11.83
8.3,17.0)
16.88 (10.6,26.8)
20.52 (12.6,33.4)
29.34 (16.5,52.3)
Mge
21 to <35 yrs
3.93 (2.6,5.9)
0.77
0.5,1.2)
2.08(1.4,3.0)
4.95 (3.4,7.1)
9.43
6.2,14.4)
13.88 (8.1,23.7)
17.63 (9.5,32.7)
25.99 (13.4,50.4)
35 to <50 yrs
3.89 (2.6,5.9)
0.88
0.4,1.9)
2.20 (1.1,4.2)
5.00 (3.2,7.8)
9.34
6.3,13.8)
13.30 (8.9,19.8)
16.75 (11.0,25.5)
23.34 (14.8,36.8)
50 to <65 yrs
4.76 (3.3,6.8)
1.20
0.6,2.5)
2.87 (1.7,4.9)
5.98(4.0,8.9)
11.08
7.7,16.0)
15.75 (10.0,24.8)
19.30 (11.6,32.0)
28.05 (14.7,53.6)
65+ yrs
3.18(2.1,4.8)
0.71
0.3,1.8)
1.78(0.9,3.7)
4.01 (2.5,6.5)
7.53
5.1,11.2)
10.80 (7.4,15.7)
13.68 (9.3,20.0)
20.24 (12.5,32.8)
WCA (13-49 years)
2.91 (2.1,4.1)
0.52
0.3,1.0)
1.56 (1.0,2.6)
3.69 (2.6,5.3)
7.24
5.2,10.1)
10.41 (7.3,14.8)
12.89 (8.7,19.0)
19.19 (12.0,30.7)
1 IllUlllc
<$20,000
4.11 (3.0,5.6)
0.78
0.4,1.3)
2.11 (1.3,3.5)
5.04(3.6,7.0)
9.96
7.3,13.6)
14.80 (9.7,22.7)
18.28 (11.6,28.9)
28.09 (14.5,54.3)
>$20,000
3.90 (2.8,5.4)
0.88
0.4,1.8)
2.23 (1.3,3.8)
4.96 (3.5,7.1)
9.26
6.7,12.9)
13.23 (9.2,19.1)
16.71 (10.9,25.7)
23.72 (14.9,37.8)
Income unknown
5.86 (2.8,12.3)
1.40
0.5,3.6)
3.72 (1.6,8.7)
8.13 (3.4,19.2)
14.08
6.5,30.6)
18.10 (9.5,34.5)
23.55 (9.9,56.2)
31.98 (14.0,72.8)
Income, finer detail










<$20,000
4.11 (3.0,5.6)
0.78
0.4,1.3)
2.11 (1.3,3.5)
5.04(3.6,7.0)
9.96
7.3,13.6)
14.80 (9.7,22.7)
18.28 (11.6,28.9)
28.09 (14.5,54.3)
$20k-$45k
3.37 (2.4,4.8)
0.73
0.4,1.4)
1.90 (1.1,3.1)
4.31 (3.0,6.2)
8.08
5.7,11.5)
11.47 (7.9,16.7)
14.45 (9.5,22.1)
20.96 (13.3,32.9)
$45k-$75k
3.85 (2.7,5.5)
0.81
0.4,1.6)
2.16 (1.3,3.5)
4.97 (3.4,7.2)
9.25
6.3,13.5)
13.20 (8.6,20.3)
16.37 (10.2,26.4)
22.88 (13.9,37.7)
$75k+
4.38(2.9,6.6)
1.09
0.4,2.8)
2.59 (1.3,5.3)
5.45 (3.2,9.2)
10.36
7.3,14.8)
14.53 (10.0,21.2)
18.44 (11.9,28.5)
27.05 (15.4,47.5)
>$20,000
3.74(1.4,9.8)
0.86
0.4,1.9)
2.14(1.0,4.5)
4.91 (1.9,12.7)
9.23
2.9,29.3)
11.96 (4.1,35.2)
15.82 (4.0,62.0)
22.55 (5.2,97.4)
Inc Ref/DK
5.47 (2.5,12.2)
1.26
0.6,2.8)
3.55 (1.5,8.5)
7.58(3.2,18.0)
12.57
5.9,26.8)
17.92 (7.5,43.1)
21.03 (8.6,51.2)
26.92 (11.4,63.8)
Inc missing
6.74(2.1,21.6)
1.76
0.3,9.9)
4.00 (1.2,13.7)
9.49 (2.6,35.0)
16.15
4.9,53.1)
22.63 (6.4,80.3)
28.43 (7.4,108.7)
34.26 (12.3,95.6)
Race/Ethnicity










Mexican American
4.47 (3.0,6.7)
1.00
0.5,1.9)
2.69 (1.6,4.5)
5.80 (3.8,8.9)
10.67
7.3,15.6)
15.01 (10.2,22.0)
18.15 (11.9,27.6)
27.04 (16.5,44.2)
Other Hispanic
4.66 (2.8,7.7)
1.20
0.6,2.3)
2.87 (1.6,5.0)
6.19 (3.8,10.2)
10.70
6.6,17.4)
14.69 (8.7,24.8)
18.39 (10.1,33.5)
25.99 (12.8,52.7)
White
3.24(2.3,4.6)
0.75
0.4,1.5)
1.86 (1.0,3.4)
4.12 (2.7,6.2)
7.69
5.4,11.0)
10.83 (7.6,15.5)
13.91 (9.1,21.2)
20.39 (12.3,33.8)
Black
5.26 (3.8,7.4)
1.38
0.7,2.7)
3.36 (2.1,5.5)
6.82 (4.7,10.0)
12.17
8.7,16.9)
16.85 (11.9,23.9)
20.27 (13.8,29.7)
29.04 (18.0,46.9)
Other race
8.89 (5.1,15.6)
3.07
1.8,5.4)
6.35 (4.0,10.1)
12.01 (6.9,20.8)
19.39 (10.4,36.3)
26.51 (11.8,59.4)
29.82 (14.7,60.5)
44.69 (14.3,139.4)
C-81

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Table C-41. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.45 (1.6,3.7)
0.54(0.3,1.2)
1.37 (0.7,2.6)
3.05 (1.9,4.9)
5.73 (3.8,8.7)
8.44(5.4,13.1)
10.73 (6.5,17.8)
15.82 (8.9,28.2)
Northeast
4.39 (3.1,6.2)
1.02 (0.5,2.2)
2.60 (1.4,4.7)
5.54(3.7,8.4)
10.70 (7.3,15.8)
15.01 (9.0,24.9)
17.92 (10.6,30.4)
24.92 (13.7,45.5)
South
5.00 (3.6,6.9)
1.16 (0.7,2.1)
2.86 (1.8,4.7)
6.36 (4.5,9.0)
11.89 (8.4,16.9)
17.04 (11.2,25.8)
21.18 (13.3,33.9)
30.86 (17.3,55.1)
West
3.90 (2.5,6.0)
1.00 (0.5,2.1)
2.42 (1.4,4.3)
5.14(3.3,8.0)
8.97 (5.7,14.2)
12.60 (7.7,20.5)
15.39 (9.1,26.1)
21.43 (11.5,39.8)
Coastal Status








Noncoastal
3.30 (2.4,4.6)
0.72 (0.4,1.4)
1.85 (1.1,3.2)
4.15 (2.9,6.0)
7.93 (5.6,11.1)
11.29 (7.6,16.8)
14.08 (8.8,22.5)
20.71 (11.6,37.1)
Coastal
5.09 (3.6,7.1)
1.24(0.6,2.6)
3.08(1.8,5.2)
6.56 (4.5,9.6)
11.97 (8.6,16.6)
17.10 (11.7,25.0)
20.70 (13.8,31.1)
29.55 (18.0,48.6)
Coastal/Inland Region








Pacific
4.17 (2.4,7.2)
1.07 (0.5,2.4)
2.66 (1.4,5.1)
5.52 (3.1,9.8)
9.67 (5.6,16.7)
13.01 (7.4,22.9)
16.60 (8.9,30.8)
22.27 (11.5,43.2)
Atlantic
4.96 (3.0,8.2)
1.34(0.5,3.7)
3.09 (1.4,7.0)
6.39 (3.5,11.6)
11.67 (7.7,17.8)
16.27 (10.6,24.9)
19.93 (12.4,32.1)
27.66 (15.3,50.0)
Gulf of Mexico
9.30 (5.7,15.2)
2.76 (1.1,7.2)
6.54(3.4,12.7)
12.33 (7.3,20.9)
20.44 (13.0,32.2)
27.82 (17.2,45.1)
33.74 (19.0,59.9)
46.12 (21.8,97.7)
Great Lakes
3.43 (2.1,5.5)
0.85 (0.3,2.1)
2.12 (1.1,4.1)
4.37 (2.6,7.3)
8.23 (5.0,13.4)
11.40 (6.6,19.6)
13.57 (8.1,22.7)
19.78 (10.4,37.6)
Inland Northeast
3.65 (2.4,5.6)
0.77 (0.3,2.2)
2.05 (0.8,5.0)
4.58(2.6,8.1)
8.86 (6.1,12.9)
13.07 (8.0,21.3)
15.78 (9.2,27.1)
22.37 (11.6,43.2)
Inland Midwest
2.19 (1.4,3.4)
0.49 (0.2,1.0)
1.21 (0.7,2.2)
2.75 (1.8,4.3)
5.16 (3.3,8.1)
7.34(4.5,11.9)
9.52 (5.2,17.4)
14.24 (6.9,29.5)
Inland South
4.05 (2.8,5.8)
0.95 (0.6,1.6)
2.41 (1.6,3.6)
5.21 (3.7,7.3)
9.34(6.5,13.5)
13.31 (8.3,21.2)
16.48 (9.5,28.5)
25.89 (10.9,61.5)
Inland West
3.62 (2.2,5.8)
0.94(0.4,2.2)
2.22 (1.1,4.3)
4.74(2.9,7.7)
8.39 (5.1,13.7)
11.90 (6.9,20.6)
14.83 (8.0,27.5)
20.49 (10.2,41.0)
C-82

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Table C-42. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
1.58(1.1,2.3)
0.19 (0.1,0.4)
0.60 (0.4,1.0)
1.71 (1.1,2.6)
3.90 (2.7,5.7)
6.26 (4.0,9.8)
8.28(5.0,13.8)
13.88 (7.0,27.4)
VJcMUcl
Female
1.28(0.9,1.9)
0.15
0.1,0.3)
0.47
0.2,0.9)
1.44(0.9,2.3)
3.22 (2.1,4.8)
5.23 (3.3,8.2)
6.88(4.3,11.1)
11.60 (6.1,22.2)
Male
A fTQ
1.89 (1.2,2.9)
0.25
0.1,0.4)
0.76
0.5,1.2)
2.05 (1.4,3.0)
4.63 (3.1,7.0)
7.29 (4.4,12.0)
9.89 (5.2,18.8)
16.43 (7.2,37.6)
Mge
1 to <3 yrs
0.76 (0.4,1.7)
0.10
0.0,0.2)
0.29
0.2,0.6)
0.83 (0.4,1.6)
1.87 (0.9,4.0)
3.00 (1.3,7.2)
4.17 (1.5,11.6)
6.99 (2.1,22.7)
3 to <6 yrs
1.01 (0.6,1.7)
0.13
0.1,0.3)
0.42
0.2,0.8)
1.15 (0.7,2.0)
2.53 (1.5,4.3)
3.91 (2.3,6.8)
5.39 (2.8,10.2)
8.39 (4.2,16.7)
6 to <11 yrs
1.45 (0.9,2.3)
0.21
0.1,0.5)
0.62
0.3,1.3)
1.62 (0.8,3.2)
3.66 (2.3,5.8)
5.79 (3.8,8.8)
7.61 (4.7,12.2)
12.50 (6.6,23.7)
11 to <16 yrs
1.56 (0.9,2.7)
0.19
0.1,0.6)
0.63
0.3,1.4)
1.73 (0.9,3.4)
3.95 (2.3,6.9)
6.12 (3.4,10.9)
8.10 (4.4,15.0)
12.47 (6.7,23.2)
16 to <18 yrs
1.64(1.0,2.7)
0.23
0.1,0.6)
0.72
0.4,1.4)
2.06 (1.2,3.5)
4.18(2.5,6.9)
6.18(3.7,10.2)
7.85 (4.7,13.2)
12.70 (7.2,22.3)
18 to <21 yrs
1 nrnmo
2.98(1.2,7.4)
0.42
0.2,0.9)
1.35
0.6,3.1)
3.30 (1.7,6.5)
7.19 (3.1,16.4)
11.94 (3.6,39.5)
15.91 (4.1,62.0)
26.16 (5.3,130.0)
1 IllUIIlC
<$20,000
1.98(1.2,3.2)
0.25
0.1,0.5)
0.76
0.5,1.2)
2.24(1.4,3.5)
5.02 (3.1,8.0)
7.76 (4.5,13.3)
10.61 (5.2,21.7)
16.11 (7.9,32.9)
>$20,000
1.43 (1.0,2.1)
0.17
O
o
0.56
0.3,1.0)
1.56 (1.0,2.4)
3.58(2.5,5.2)
5.67 (3.7,8.7)
7.46 (4.6,12.1)
12.93 (6.2,26.9)
Income unknown
2.83 (1.1,7.4)
0.39
0.2,0.9)
1.23
0.5,3.1)
3.24(1.2,9.1)
7.53 (2.3,24.6)
10.24 (4.0,26.1)
13.34 (5.3,33.5)
24.91 (7.5,82.8)
Income, finer detail










<$20,000
1.98(1.2,3.2)
0.25
0.1,0.5)
0.76
0.5,1.2)
2.24(1.4,3.5)
5.02 (3.1,8.0)
7.76 (4.5,13.3)
10.61 (5.2,21.7)
16.11 (7.9,32.9)
$20k-$45k
1.48(0.9,2.5)
0.18
0.1,0.3)
0.56
0.3,0.9)
1.59 (1.0,2.5)
3.74(2.3,6.2)
5.91 (3.3,10.5)
7.61 (4.2,13.8)
13.38 (5.4,33.4)
$45k-$75k
1.22 (0.8,1.9)
0.15
0.1,0.3)
0.48
0.3,0.9)
1.37 (0.8,2.4)
3.01 (1.7,5.2)
4.77 (3.0,7.7)
6.41 (4.0,10.3)
10.49 (6.0,18.3)
$75k+
1.51 (1.0,2.2)
0.18
0.1,0.4)
0.59
0.3,1.1)
1.63 (1.0,2.8)
3.71 (2.5,5.5)
5.92 (3.9,9.0)
7.76 (4.9,12.3)
13.70 (6.6,28.6)
>$20,000
1.89 (0.5,7.0)
0.28
0.1,0.9)
0.85
0.3,2.5)
1.92 (0.8,4.5)
4.57 (1.3,16.0)
7.75 (1.4,42.2)
10.09 (1.7,60.3)
13.78 (2.8,68.7)
Inc Ref/DK
2.61 (0.7,10.3)
0.39
0.2,1.0)
1.13
0.4,3.2)
2.77 (0.9,8.5)
5.79 (1.7,19.5)
10.08 (2.1,48.7)
13.34 (2.4,73.2)
26.62 (2.1,335.4)
Inc missing
3.14(0.9,11.0)
0.39
0.1,1.3)
1.56
0.3,7.5)
3.87 (0.9,17.1)
9.01 (1.8,44.7)
10.48 (2.6,42.0)
13.38 (3.3,53.9)
20.78 (5.5,77.8)
Race/Ethnicity










Mexican American
1.67 (1.1,2.5)
0.24
O
o
CT)
0.70
0.4,1.3)
1.86 (1.1,3.1)
3.94(2.5,6.2)
6.25 (4.0,9.8)
8.29 (5.2,13.3)
14.11 (7.4,26.8)
Other Hispanic
1.64(0.9,3.2)
0.21
0.1,0.4)
0.70
0.4,1.3)
2.09 (1.0,4.3)
4.34(2.1,9.1)
6.25 (3.1,12.8)
7.70 (3.9,15.3)
11.13 (5.7,21.9)
White
1.17 (0.8,1.8)
0.14
0.1,0.3)
0.44
0.2,0.8)
1.26 (0.8,2.0)
2.81 (1.9,4.2)
4.47 (2.9,6.8)
6.09 (3.7,9.9)
10.98 (5.3,22.8)
Black
2.16 (1.5,3.1)
0.36
0.2,0.7)
1.03
0.6,1.8)
2.60 (1.7,3.9)
5.30 (3.7,7.6)
7.92 (5.4,11.6)
10.40 (6.7,16.2)
15.11 (9.4,24.2)
Other race
3.52 (1.6,7.9)
0.57
0.3,1.2)
1.77
1.0,3.3)
4.46 (2.3,8.7)
8.74(3.9,19.8)
12.58 (4.9,32.3)
15.27 (5.8,40.1)
26.16 (5.5,124.2)
C-83

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Table C-42. Trophic level 3 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years (continued)





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.89 (0.5,1.5)
0.11 (0.0,0.3)
0.33 (0.2,0.7)
0.99 (0.6,1.7)
2.32 (1.4,3.9)
3.39 (1.9,6.0)
4.59 (2.7,7.7)
7.35 (4.1,13.2)
Northeast
1.79 (1.1,3.0)
0.24(0.1,0.4)
0.72 (0.4,1.2)
2.02 (1.3,3.1)
4.33 (2.7,6.8)
6.86 (3.8,12.5)
9.54(4.1,22.3)
15.41 (5.1,46.9)
South
1.93 (1.2,3.1)
0.25 (0.1,0.5)
0.78(0.4,1.4)
2.12 (1.3,3.5)
4.81 (3.0,7.7)
7.57 (4.4,12.9)
10.12 (5.5,18.6)
16.43 (8.0,33.8)
West
1.67 (1.0,2.8)
0.21 (0.1,0.5)
0.68(0.4,1.2)
1.81 (1.1,3.0)
4.21 (2.5,7.1)
6.58(3.5,12.4)
8.87 (4.0,19.4)
14.74 (5.3,41.0)
Coastal Status








Noncoastal
1.21 (0.8,1.8)
0.15 (0.1,0.3)
0.49 (0.3,0.9)
1.35 (0.8,2.2)
3.02 (2.0,4.6)
4.73 (3.1,7.2)
6.13 (3.9,9.6)
10.59 (5.3,21.3)
Coastal
2.18(1.4,3.3)
0.28(0.1,0.5)
0.87 (0.5,1.4)
2.46 (1.6,3.7)
5.52 (3.5,8.6)
8.53 (5.1,14.3)
11.23 (6.3,20.0)
17.74 (9.0,34.8)
Coastal/Inland Region








Pacific
1.91 (1.0,3.8)
0.22 (0.1,0.5)
0.73 (0.4,1.4)
2.09 (1.2,3.8)
4.86 (2.4,9.9)
7.66 (3.3,17.8)
9.98(4.0,24.6)
16.64 (5.5,50.0)
Atlantic
1.99 (1.3,3.1)
0.29 (0.1,0.7)
0.87 (0.4,1.7)
2.25 (1.3,4.0)
4.74(3.0,7.5)
7.31 (4.6,11.5)
9.87 (5.4,18.0)
16.43 (6.6,40.8)
Gulf of Mexico
3.98(1.9,8.6)
0.69 (0.2,1.9)
2.03 (0.7,5.6)
5.06 (2.1,12.0)
9.76 (4.6,20.6)
13.74 (7.1,26.6)
16.62 (8.7,31.9)
28.63 (11.3,72.5)
Great Lakes
1.37 (0.8,2.3)
0.19 (0.1,0.4)
0.53 (0.2,1.2)
1.59 (0.9,2.8)
3.31 (1.9,5.9)
5.35 (3.2,8.8)
7.03 (4.0,12.3)
11.28 (6.2,20.4)
Inland Northeast
1.46 (0.9,2.3)
0.19 (0.1,0.4)
0.57 (0.2,1.3)
1.68(1.0,2.9)
3.69 (2.3,6.0)
5.77 (3.3,10.1)
7.76 (4.1,14.9)
13.00 (4.9,34.5)
Inland Midwest
0.74(0.5,1.2)
0.09 (0.0,0.2)
0.29 (0.2,0.5)
0.87 (0.5,1.4)
1.95 (1.2,3.3)
2.94(1.7,5.0)
3.72 (2.2,6.3)
5.76 (3.4,9.9)
Inland South
1.36 (0.9,2.1)
0.20 (0.1,0.4)
0.58(0.3,1.0)
1.56 (0.9,2.6)
3.33 (2.1,5.3)
5.15 (3.2,8.4)
6.88(3.9,12.0)
11.57 (5.0,26.6)
Inland West
1.47 (0.8,2.6)
0.21 (0.1,0.5)
0.66 (0.3,1.3)
1.62 (0.8,3.2)
3.70 (2.1,6.6)
5.62 (3.1,10.2)
7.15 (3.9,13.2)
12.58 (4.7,33.4)
C-84

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Table C-43. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean
95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
1.71
1.1,2.6)
0.15 (0.1,0.3)
0.54(0.3,1.0)
1.65 (1.0,2.9)
4.09 (2.5,6.6)
6.78(4.2,10.8)
9.48(6.1,14.8)
18.05 (11.7,27.8)
VJCllUCl
Female
1.34
0.8,2.3)
0.12
0.1,0.2)
0.44
0.2,0.9)
1.33 (0.7,2.4)
3.22 (1.8,5.8)
5.30 (3.0,9.4)
7.30 (4.1,12.9)
13.68 (8.2,22.7)
Male
A np
2.16
1.4,3.3)
0.19
0.1,0.4)
0.70
0.4,1.3)
2.10 (1.3,3.5)
5.08(3.2,8.1)
8.52 (5.6,13.1)
12.09 (8.0,18.2)
23.01 (14.0,37.8)
age
1 to <3 yrs
0.39
0.2,0.7)
0.03
0.0,0.1)
0.11
0.0,0.2)
0.34(0.2,0.7)
0.95 (0.5,1.8)
1.64(0.9,3.0)
2.32 (1.3,4.3)
4.38(2.3,8.3)
3 to <6 yrs
0.48
0.2,1.1)
0.04
0.0,0.1)
0.13
0.0,0.4)
0.41 (0.2,0.9)
1.13 (0.5,2.6)
2.09 (0.8,5.4)
3.06 (1.1,8.8)
5.37 (2.1,13.9)
6 to <11 yrs
0.67
0.3,1.6)
0.05
0.0,0.2)
0.19
0.1,0.5)
0.60 (0.2,1.6)
1.56 (0.6,4.0)
2.61 (1.0,7.0)
3.66 (1.4,9.8)
6.75 (2.5,18.6)
11 to <16 yrs
0.87
0.4,1.7)
0.06
0.0,0.1)
0.21
0.1,0.4)
0.69 (0.4,1.2)
2.01 (1.0,3.9)
3.54(1.7,7.4)
5.07
2.4,10.9)
10.09 (3.9,26.3)
16 to <18 yrs
0.62
0.1,3.5)
0.06
0.0,0.3)
0.19
0.0,1.0)
0.59 (0.1,3.4)
1.55 (0.3,7.9)
2.55 (0.5,14.2)
3.60
0.7,19.4)
5.98(0.8,45.5)
18 to <21 yrs
0.66
0.2,2.1)
0.05
0.0,0.2)
0.21
0.1,0.6)
0.64(0.2,1.9)
1.62 (0.5,4.8)
2.91 (1.1,7.6)
3.65
1.1,12.7)
6.19 (1.4,27.9)
21 to <35 yrs
1.82
1.2,2.8)
0.19
0.1,0.4)
0.59
0.3,1.0)
1.69 (1.1,2.7)
4.21 (2.7,6.5)
7.01 (4.5,10.9)
10.19
6.2,16.8)
18.43 (10.4,32.8)
35 to <50 yrs
1.77
1.0,3.2)
0.22
0.1,0.5)
0.69
0.3,1.4)
1.78(0.9,3.7)
4.19 (2.2,7.8)
6.69 (3.6,12.6)
9.28
5.2,16.5)
16.62 (9.5,29.0)
50 to <65 yrs
3.05
1.9,4.8)
0.48
0.2,1.0)
1.28
0.7,2.4)
3.26 (2.0,5.4)
7.09 (4.4,11.3)
11.79 (7.3,18.9)
15.98
9.6,26.7)
26.88 (15.5,46.7)
65+ yrs
1 nrniYto
2.17
1.1,4.2)
0.32
0.1,0.8)
0.91
0.4,2.1)
2.33 (1.1,4.9)
5.05 (2.5,10.3)
7.89 (3.8,16.3)
10.66
5.2,21.7)
19.39 (10.7,35.2)
1 IllUlllc
<$20,000
1.88
1.3,2.8)
0.16
0.1,0.3)
0.56
0.3,0.9)
1.81 (1.2,2.8)
4.62 (3.0,7.0)
7.61 (5.1,11.4)
10.94
7.0,17.1)
19.60 (12.1,31.7)
>$20,000
1.65
1.0,2.7)
0.14
0.1,0.3)
0.53
0.3,1.1)
1.60 (0.9,3.0)
3.93 (2.3,6.9)
6.51 (3.8,11.1)
9.03
5.4,15.1)
17.55 (11.2,27.4)
Income unknown
2.37
1.3,4.2)
0.22
0.1,0.5)
0.73
0.3,1.5)
2.27 (1.2,4.3)
5.72 (3.3,10.0)
9.30 (5.0,17.2)
12.82
6.8,24.3)
23.98 (12.3,46.7)
Income, finer detail












<$20,000
1.88
1.3,2.8)
0.16
0.1,0.3)
0.56
0.3,0.9)
1.81 (1.2,2.8)
4.62 (3.0,7.0)
7.61 (5.1,11.4)
10.94
7.0,17.1)
19.60 (12.1,31.7)
$20k-$45k
1.42
0.6,3.2)
0.13
0.1,0.3)
0.47
0.2,1.1)
1.37 (0.5,3.4)
3.39 (1.4,8.0)
5.44(2.1,14.0)
7.70
3.3,18.2)
14.49 (6.8,30.8)
$45k-$75k
1.41
0.8,2.5)
0.12
0.0,0.3)
0.44
0.2,1.0)
1.37 (0.7,2.8)
3.31 (1.6,6.6)
5.38(2.6,11.1)
7.54
3.9,14.6)
14.39 (8.3,24.9)
$75k+
1.98
1.3,3.0)
0.18
0.1,0.4)
0.65
0.3,1.2)
1.94(1.2,3.3)
4.75 (3.1,7.3)
7.87 (5.1,12.0)
11.33
7.3,17.7)
20.82 (11.8,36.7)
>$20,000
2.04
0.8,4.9)
0.21
0.1,0.6)
0.71
0.3,1.7)
2.11 (0.9,5.1)
4.86 (2.1,11.5)
8.29 (3.2,21.7)
10.72
4.3,27.0)
18.38 (6.8,49.8)
Inc Ref/DK
1.93
0.8,4.4)
0.21
0.1,0.5)
0.68
0.3,1.7)
2.07 (0.9,4.6)
4.55 (1.8,11.7)
7.62 (3.1,18.9)
10.41
4.3,25.3)
18.78 (8.1,43.8)
Inc missing
3.23 (0.8,12.4)
0.27
0.0,1.6)
0.83
0.2,3.4)
2.85 (0.7,11.4)
7.37 (2.2,24.9)
13.17 (3.6,47.9)
19.71
4.9,80.0)
36.08 (7.6,170.5)
Race/Ethnicity












Mexican American
1.60
0.9,2.8)
0.14
0.1,0.3)
0.49
0.3,0.9)
1.55 (0.9,2.8)
3.91 (2.2,7.0)
6.57 (3.7,11.7)
9.28
5.2,16.5)
16.33 (8.5,31.3)
Other Hispanic
1.54
0.7,3.5)
0.14
0.0,0.5)
0.52
0.2,1.4)
1.59 (0.7,3.8)
3.60 (1.5,8.6)
5.98(2.5,14.1)
8.43
3.7,19.2)
16.12 (7.0,37.3)
White
1.35
0.8,2.3)
0.13
0.1,0.3)
0.45
0.2,0.9)
1.36 (0.7,2.6)
3.23 (1.8,5.8)
5.32 (3.1,9.1)
7.15
4.1,12.6)
13.51 (8.5,21.4)
Black
2.35
1.4,3.9)
0.24
0.1,0.5)
0.83
0.4,1.6)
2.38(1.3,4.5)
5.62 (3.1,10.2)
9.41 (5.7,15.5)
12.76
7.6,21.3)
23.26 (14.2,38.0)
Other race
4.50
2.5,8.1)
0.53
0.2,1.3)
1.73
0.9,3.3)
4.79 (2.7,8.4)
11.22 (6.2,20.3)
16.84 (9.3,30.6)
22.66 (11.9,43.2)
37.24 (18.4,75.4)
C-85

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Table C-43. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, all ages (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.29 (0.6,2.8)
0.11 (0.0,0.3)
0.40 (0.1,1.1)
1.21 (0.5,3.2)
3.05 (1.3,7.2)
5.06 (2.2,11.9)
7.03 (3.1,16.1)
13.68 (6.9,27.0)
Northeast
1.48 (1.0,2.3)
0.12 (0.1,0.3)
0.48(0.2,0.9)
1.51 (0.9,2.5)
3.67 (2.4,5.7)
5.76 (3.6,9.2)
7.69 (4.6,12.9)
15.61 (9.4,26.0)
South
2.09 (1.4,3.1)
0.19 (0.1,0.3)
0.67 (0.4,1.2)
2.00 (1.2,3.4)
4.87 (3.0,8.0)
8.36 (5.5,12.8)
12.09 (8.1,18.0)
22.58 (14.6,35.0)
West
1.75 (1.1,2.9)
0.17 (0.1,0.3)
0.60 (0.3,1.1)
1.72 (1.0,3.1)
4.30 (2.6,7.0)
6.94(4.2,11.6)
9.51 (5.6,16.2)
16.71 (9.5,29.5)
Coastal Status








Noncoastal
1.61 (1.0,2.5)
0.14(0.1,0.3)
0.52 (0.3,0.9)
1.57 (0.9,2.7)
3.85 (2.3,6.3)
6.24(3.7,10.5)
8.77 (5.3,14.4)
16.79 (10.1,27.9)
Coastal
1.87 (1.2,3.0)
0.16 (0.1,0.3)
0.58(0.3,1.3)
1.77 (0.9,3.4)
4.44(2.5,7.7)
7.49 (4.6,12.3)
10.70 (7.0,16.3)
19.74 (13.0,30.0)
Coastal/Inland








Region








Pacific
1.84(1.0,3.3)
0.15 (0.1,0.4)
0.55 (0.2,1.4)
1.68(0.8,3.7)
4.31 (2.3,8.2)
7.60 (4.4,13.3)
10.81 (6.1,19.2)
18.25 (9.6,34.6)
Atlantic
1.57 (0.7,3.7)
0.16 (0.1,0.5)
0.55 (0.2,1.6)
1.63 (0.7,4.0)
3.84(1.6,9.2)
6.23 (2.7,14.5)
8.06 (3.0,21.5)
15.13 (7.0,32.5)
Gulf of Mexico
3.49 (2.1,5.7)
0.36 (0.2,0.8)
1.25 (0.6,2.4)
3.48(1.8,6.7)
8.51 (5.1,14.2)
14.71 (9.4,23.1)
20.39 (12.8,32.6)
35.04 (18.8,65.3)
Great Lakes
1.19 (0.6,2.2)
0.10 (0.1,0.2)
0.37 (0.2,0.8)
1.12 (0.5,2.5)
2.81 (1.4,5.7)
4.61 (2.3,9.3)
6.69 (3.5,12.8)
12.37 (6.7,22.8)
Inland Northeast
1.32 (0.8,2.3)
0.10 (0.0,0.2)
0.40 (0.2,0.9)
1.29 (0.7,2.5)
3.11 (1.7,5.6)
5.15 (3.0,8.9)
6.79 (3.7,12.4)
13.87 (7.2,26.6)
Inland Midwest
1.31 (0.5,3.3)
0.11 (0.0,0.4)
0.41 (0.1,1.3)
1.23 (0.4,3.8)
3.09 (1.1,8.4)
5.12 (1.9,13.6)
7.13 (2.8,18.4)
13.92 (6.3,30.8)
Inland South
2.00 (1.3,3.0)
0.17 (0.1,0.3)
0.64(0.4,1.0)
1.92 (1.3,2.9)
4.62 (3.0,7.0)
7.95 (5.2,12.1)
11.64 (6.9,19.7)
21.30 (11.6,39.2)
Inland West
1.65 (0.9,3.1)
0.18(0.1,0.4)
0.65 (0.3,1.3)
1.78(0.9,3.3)
4.29 (2.3,7.9)
6.40 (3.3,12.5)
8.48(4.1,17.4)
13.97 (6.1,31.9)
C-86

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Table C-44. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
2.14(1.4,3.3)
0.26 (0.1,0.5)
0.80 (0.4,1.5)
2.16 (1.3,3.7)
4.97 (3.1,8.1)
8.19 (5.3,12.7)
11.53 (7.7,17.3)
20.71 (13.2,32.4)
VJcMUcl
Female
1.64(1.0,2.8)
0.21
0.1,0.4)
0.64
0.3,1.2)
1.71 (1.0,3.1)
3.91 (2.3,6.8)
6.29 (3.7,10.7)
8.52 (4.9,14.7)
15.45 (9.3,25.7)
Male
A fTQ
2.78(1.8,4.2)
0.35
0.2,0.7)
1.08
0.6,2.0)
2.83 (1.7,4.7)
6.44(4.1,10.1)
10.56 (7.0,16.0)
14.81 (9.7,22.6)
27.06 (15.8,46.3)
Mge
21 to <35 yrs
1.82 (1.2,2.8)
0.19
0.1,0.4)
0.59
0.3,1.0)
1.69 (1.1,2.7)
4.21 (2.7,6.5)
7.01 (4.5,10.9)
10.19 (6.2,16.8)
18.43 (10.4,32.8)
35 to <50 yrs
1.77 (1.0,3.2)
0.22
0.1,0.5)
0.69
0.3,1.4)
1.78(0.9,3.7)
4.19 (2.2,7.8)
6.69 (3.6,12.6)
9.28(5.2,16.5)
16.62 (9.5,29.0)
50 to <65 yrs
3.05 (1.9,4.8)
0.48
0.2,1.0)
1.28
0.7,2.4)
3.26 (2.0,5.4)
7.09 (4.4,11.3)
11.79 (7.3,18.9)
15.98 (9.6,26.7)
26.88 (15.5,46.7)
65+ yrs
2.17 (1.1,4.2)
0.32
0.1,0.8)
0.91
0.4,2.1)
2.33 (1.1,4.9)
5.05 (2.5,10.3)
7.89 (3.8,16.3)
10.66 (5.2,21.7)
19.39 (10.7,35.2)
WCA (13-49 years)
1.21 (0.7,2.1)
0.12
0.1,0.2)
0.42
0.2,0.8)
1.23 (0.7,2.2)
2.91 (1.6,5.3)
4.72 (2.5,8.8)
6.48(3.5,12.1)
11.63 (6.0,22.6)
1 IllUlllc
<$20,000
2.38(1.6,3.6)
0.26
0.1,0.5)
0.85
0.5,1.5)
2.43 (1.5,3.8)
5.74(3.8,8.7)
9.57 (6.1,15.0)
12.71 (8.2,19.7)
21.80 (13.5,35.1)
>$20,000
2.06 (1.3,3.3)
0.26
0.1,0.6)
0.79
0.4,1.5)
2.08(1.1,3.9)
4.80 (2.8,8.3)
7.85 (4.8,12.9)
10.95 (7.0,17.2)
19.96 (12.6,31.7)
Income unknown
2.97 (1.7,5.1)
0.37
0.1,0.9)
1.14
0.6,2.3)
2.96 (1.6,5.4)
6.94(4.0,11.9)
10.95 (5.9,20.4)
15.00 (7.9,28.5)
27.05 (13.6,53.8)
Income, finer detail










<$20,000
2.38(1.6,3.6)
0.26
0.1,0.5)
0.85
0.5,1.5)
2.43 (1.5,3.8)
5.74 (3.8,8.7)
9.57 (6.1,15.0)
12.71 (8.2,19.7)
21.80 (13.5,35.1)
$20k-$45k
1.76 (0.8,3.9)
0.22
0.1,0.5)
0.67
0.3,1.6)
1.79 (0.7,4.3)
4.16 (1.8,9.5)
6.55 (2.7,16.1)
9.09 (3.9,20.9)
17.92 (9.9,32.6)
$45k-$75k
1.76 (1.0,3.0)
0.20
0.1,0.5)
0.67
0.3,1.3)
1.77 (0.9,3.5)
4.07 (2.1,7.8)
6.45 (3.3,12.6)
9.02 (5.0,16.3)
16.20 (9.1,29.0)
$75k+
2.50 (1.6,3.8)
0.34
0.2,0.7)
0.99
0.5,1.8)
2.55 (1.5,4.2)
6.01 (4.0,9.1)
9.48(6.2,14.6)
13.59 (8.4,22.1)
23.79 (13.3,42.7)
>$20,000
2.41 (1.0,5.6)
0.29
0.1,0.8)
0.90
0.4,2.2)
2.60 (1.1,6.2)
5.59 (2.5,12.4)
9.12 (3.8,22.1)
11.80 (4.9,28.3)
20.13 (7.7,52.3)
Inc Ref/DK
2.38(1.1,5.3)
0.31
0.1,0.8)
1.03
0.5,2.2)
2.69 (1.3,5.6)
6.07 (2.9,12.6)
9.10 (3.7,22.2)
11.73 (4.5,30.5)
22.29 (9.7,51.2)
Inc missing
4.28 (1.0,18.1)
0.50
0.1,3.5)
1.30
0.3,5.5)
3.65 (1.1,12.4)
9.76 (2.6,36.2)
16.46 (4.3,63.6)
23.98 (5.1,111.8)
42.98 (7.5,245.0)
Race/Ethnicity










Mexican American
2.24(1.3,3.8)
0.29
0.2,0.5)
0.87
0.5,1.5)
2.34(1.4,4.0)
5.31 (3.0,9.5)
8.80 (5.0,15.4)
12.05 (6.9,21.0)
20.34 (10.9,38.1)
Other Hispanic
2.09 (0.9,4.7)
0.30
0.1,0.9)
0.87
0.3,2.2)
2.15 (0.9,5.1)
4.65 (1.9,11.4)
7.85 (3.5,17.7)
10.68 (4.8,23.6)
20.41 (8.0,51.9)
White
1.66 (1.0,2.7)
0.22
0.1,0.5)
0.66
0.3,1.3)
1.74(0.9,3.2)
3.92 (2.2,6.8)
6.18(3.6,10.6)
8.38(5.0,14.1)
15.63 (10.0,24.4)
Black
3.04(1.8,5.0)
0.44
0.2,0.9)
1.29
0.7,2.4)
3.31 (1.9,5.8)
7.14(4.1,12.6)
11.61 (7.2,18.8)
15.67 (9.7,25.4)
26.57 (15.7,45.1)
Other race
5.76 (3.3,10.2)
0.91
0.4,2.0)
2.56
1.4,4.8)
6.32 (3.7,10.9)
13.80 (7.8,24.5)
19.74 (10.8,36.2)
26.36 (14.0,49.6)
51.03 (20.3,128.5)
C-87

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Table C-44. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.63 (0.7,3.6)
0.20 (0.1,0.6)
0.61 (0.2,1.6)
1.63 (0.6,4.2)
3.83 (1.7,8.9)
6.13 (2.6,14.2)
8.65 (4.1,18.2)
15.80 (7.9,31.4)
Northeast
1.87 (1.2,2.9)
0.21 (0.1,0.5)
0.70 (0.4,1.4)
1.97 (1.2,3.3)
4.53 (2.9,7.0)
6.94(4.4,10.9)
9.53 (6.1,14.8)
19.43 (9.8,38.7)
South
2.59 (1.7,3.9)
0.31 (0.2,0.6)
0.98(0.6,1.7)
2.58(1.5,4.4)
6.11 (4.0,9.4)
10.15 (6.8,15.2)
14.10 (9.5,21.0)
25.87 (16.6,40.4)
West
2.20 (1.4,3.5)
0.29 (0.1,0.6)
0.87 (0.5,1.6)
2.28(1.3,3.9)
5.21 (3.2,8.5)
8.38(5.1,13.8)
11.36 (6.8,19.1)
18.43 (9.9,34.2)
Coastal Status








Noncoastal
2.02 (1.3,3.2)
0.25 (0.1,0.5)
0.77 (0.4,1.4)
2.08(1.2,3.5)
4.74(2.9,7.7)
7.66 (4.7,12.4)
10.61 (6.6,17.1)
19.66 (11.6,33.3)
Coastal
2.33 (1.5,3.7)
0.28(0.1,0.6)
0.86 (0.4,1.8)
2.30 (1.2,4.4)
5.52 (3.4,9.1)
9.03 (5.8,14.1)
12.76 (8.6,18.9)
22.35 (14.6,34.3)
Coastal/Inland








Region








Pacific
2.28(1.3,4.0)
0.26 (0.1,0.6)
0.81 (0.4,1.8)
2.18(1.1,4.5)
5.29 (2.9,9.7)
9.05 (5.2,15.8)
12.67 (6.9,23.2)
20.66 (10.9,39.0)
Atlantic
1.94 (0.9,4.4)
0.26 (0.1,0.8)
0.80 (0.3,2.1)
2.11 (0.9,5.0)
4.59 (1.9,11.0)
7.17 (2.9,17.6)
9.72 (4.1,23.0)
17.78 (9.2,34.2)
Gulf of Mexico
4.38(2.7,7.0)
0.63 (0.3,1.3)
1.80 (0.9,3.5)
4.76 (2.8,8.1)
10.74 (6.9,16.8)
16.98 (10.7,26.9)
23.32 (14.2,38.3)
42.52 (21.3,85.0)
Great Lakes
1.52 (0.8,2.8)
0.20 (0.1,0.4)
0.57 (0.2,1.3)
1.49 (0.7,3.4)
3.71 (2.0,6.8)
5.93 (3.2,10.9)
8.34(4.7,14.9)
14.84 (8.1,27.1)
Inland Northeast
1.67 (1.0,2.9)
0.17 (0.1,0.4)
0.59 (0.3,1.3)
1.68(0.9,3.2)
3.95 (2.3,6.8)
6.15 (3.5,10.8)
8.50 (4.9,14.8)
20.29 (5.9,69.7)
Inland Midwest
1.65 (0.7,4.1)
0.20 (0.1,0.6)
0.62 (0.2,1.9)
1.67 (0.6,4.7)
3.85 (1.5,10.2)
6.14(2.3,16.4)
8.70 (3.6,20.9)
15.81 (6.8,36.5)
Inland South
2.50 (1.6,3.8)
0.31 (0.2,0.5)
0.95 (0.6,1.5)
2.52 (1.7,3.8)
5.68(3.7,8.7)
9.66 (6.2,15.1)
13.66 (8.0,23.2)
23.79 (13.6,41.6)
Inland West
2.12 (1.1,3.9)
0.34(0.2,0.7)
0.93 (0.5,1.8)
2.42 (1.3,4.5)
5.15 (2.8,9.4)
7.72 (4.0,15.0)
9.96 (4.9,20.4)
15.98 (6.9,37.3)
C-88

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Table C-45. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years

Mean







Percentiles (95% CI)



95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
0.64
0.4,1.1)
0.05 (0.0,0.1)
0.17 (0.1,0.3)
0.55 (0.3,1.1)
1.51 (0.8,2.7)
2.66 (1.5,4.7)
3.66 (1.9,6.9)
6.83 (3.4,13.6)
VJcMUcl
Female
0.52
0.3,0.9)
0.04
0.0,0.1)
0.13
0.1,0.3)
0.44
0.2,0.9)
1.24(0.7,2.2)
2.10 (1.1,3.9)
3.02 (1.6,5.7)
5.75 (2.9,11.3)
Male
A np
0.77
0.4,1.4)
0.07
0.0,0.1)
0.22
0.1,0.4)
0.70
0.4,1.3)
1.84(1.0,3.3)
3.15 (1.8,5.6)
4.22 (2.1,8.4)
7.68(3.6,16.4)
age
1 to <3 yrs
0.39
0.2,0.7)
0.03
0.0,0.1)
0.11
0.0,0.2)
0.34
0.2,0.7)
0.95 (0.5,1.8)
1.64(0.9,3.0)
2.32 (1.3,4.3)
4.38(2.3,8.3)
3 to <6 yrs
0.48
0.2,1.1)
0.04
0.0,0.1)
0.13
0.0,0.4)
0.41
0.2,0.9)
1.13 (0.5,2.6)
2.09 (0.8,5.4)
3.06 (1.1,8.8)
5.37 (2.1,13.9)
6 to <11 yrs
0.67
0.3,1.6)
0.05
0.0,0.2)
0.19
0.1,0.5)
0.60
0.2,1.6)
1.56 (0.6,4.0)
2.61 (1.0,7.0)
3.66 (1.4,9.8)
6.75 (2.5,18.6)
11 to <16 yrs
0.87
0.4,1.7)
0.06
0.0,0.1)
0.21
0.1,0.4)
0.69
0.4,1.2)
2.01 (1.0,3.9)
3.54(1.7,7.4)
5.07 (2.4,10.9)
10.09 (3.9,26.3)
16 to <18 yrs
0.62
0.1,3.5)
0.06
0.0,0.3)
0.19
0.0,1.0)
0.59
0.1,3.4)
1.55 (0.3,7.9)
2.55 (0.5,14.2)
3.60 (0.7,19.4)
5.98(0.8,45.5)
18 to <21 yrs
1 nrnmo
0.66
0.2,2.1)
0.05
0.0,0.2)
0.21
0.1,0.6)
0.64
0.2,1.9)
1.62 (0.5,4.8)
2.91 (1.1,7.6)
3.65 (1.1,12.7)
6.19 (1.4,27.9)
1 IllUIIlC
<$20,000
0.86
0.6,1.3)
0.07
0.0,0.1)
0.23
0.1,0.4)
0.70
0.4,1.2)
1.90 (1.2,3.1)
3.34(2.1,5.4)
4.95 (3.0,8.0)
10.20 (5.6,18.6)
>$20,000
0.57
0.3,1.1)
0.04
0.0,0.1)
0.16
0.1,0.3)
0.52
0.2,1.1)
1.37 (0.7,2.8)
2.45 (1.3,4.5)
3.38(1.7,6.6)
5.84(2.4,14.2)
Income unknown
1.02
0.4,2.4)
0.09
0.0,0.2)
0.26
0.1,0.7)
0.92
0.4,2.1)
2.84(1.2,6.7)
4.95 (2.1,11.8)
6.30 (2.5,16.1)
10.76 (3.0,38.8)
Income, finer detail












<$20,000
0.86
0.6,1.3)
0.07
0.0,0.1)
0.23
0.1,0.4)
0.70
0.4,1.2)
1.90 (1.2,3.1)
3.34(2.1,5.4)
4.95 (3.0,8.0)
10.20 (5.6,18.6)
$20k-$45k
0.54
0.2,1.5)
0.04
0.0,0.1)
0.15
0.1,0.4)
0.51
0.2,1.3)
1.32 (0.5,3.4)
2.32 (0.9,5.9)
3.16 (1.1,9.0)
5.64(1.8,18.2)
$45k-$75k
0.45
0.2,1.1)
0.03
0.0,0.1)
0.13
0.1,0.3)
0.40
0.2,1.1)
1.06 (0.4,2.8)
1.81 (0.7,4.9)
2.53 (0.9,6.9)
5.10 (2.2,11.6)
$75k+
0.66
0.4,1.1)
0.05
0.0,0.1)
0.18
0.1,0.4)
0.57
0.3,1.1)
1.60 (0.9,2.7)
2.93 (1.8,4.8)
3.77 (2.1,6.8)
6.59 (3.1,14.1)
>$20,000
0.83
0.3,2.1)
0.08
0.0,0.3)
0.29
0.1,0.9)
0.84
0.3,2.3)
1.86 (0.8,4.2)
3.23 (1.4,7.6)
4.11 (1.7,10.1)
9.60 (2.0,46.6)
Inc Ref/DK
0.70
0.2,2.1)
0.07
0.0,0.2)
0.22
0.1,0.8)
0.71
0.2,2.2)
1.75 (0.6,5.5)
3.50 (1.4,8.9)
4.27 (1.5,11.9)
6.53 (1.6,27.0)
Inc missing
1.45
0.4,5.8)
0.11
0.0,0.6)
0.34
0.1,1.4)
1.34
0.3,6.8)
3.98(0.7,21.5)
6.58(1.3,33.3)
9.30 (2.0,43.2)
16.43 (3.3,80.9)
Race/Ethnicity












Mexican American
0.61
0.3,1.5)
0.06
0.0,0.1)
0.20
0.1,0.4)
0.60
0.3,1.3)
1.53 (0.7,3.4)
2.56 (1.1,6.0)
3.47 (1.4,8.7)
5.99 (2.0,18.1)
Other Hispanic
0.53
0.2,1.3)
0.05
0.0,0.2)
0.17
0.1,0.5)
0.53
0.2,1.3)
1.52 (0.6,3.6)
2.23 (0.9,5.4)
3.12 (1.3,7.7)
4.87 (1.5,15.9)
White
0.43
0.2,0.8)
0.04
0.0,0.1)
0.12
0.1,0.3)
0.39
0.2,0.8)
1.03 (0.5,2.1)
1.73 (0.8,3.6)
2.59 (1.4,4.7)
4.56 (2.1,9.7)
Black
0.97
0.5,1.9)
0.10
0.0,0.2)
0.31
0.1,0.7)
0.91
0.4,2.0)
2.20 (1.0,4.8)
3.68(1.7,8.0)
5.18(2.5,10.8)
9.79 (4.9,19.6)
Other race
1.80
0.9,3.6)
0.19
0.1,0.6)
0.64
0.3,1.5)
1.94
0.9,4.0)
4.29 (2.3,8.1)
7.32 (3.7,14.5)
9.60 (4.7,19.4)
19.88 (7.2,54.9)
C-89

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Table C-45. Trophic level 4 freshwater + estuarine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.41 (0.1,1.5)
0.03 (0.0,0.1)
0.11 (0.0,0.4)
0.36 (0.1,1.4)
0.98(0.3,3.7)
1.68(0.4,6.6)
2.58(0.8,8.1)
4.27 (0.9,20.5)
Northeast
0.49 (0.2,0.9)
0.04(0.0,0.1)
0.15 (0.1,0.3)
0.49 (0.3,0.9)
1.26 (0.7,2.2)
2.02 (1.0,3.9)
2.82 (1.4,5.8)
4.77 (1.9,11.7)
South
0.82 (0.5,1.4)
0.07 (0.0,0.1)
0.22 (0.1,0.4)
0.69 (0.4,1.3)
1.89 (1.1,3.3)
3.27 (1.9,5.8)
4.55 (2.5,8.3)
9.10 (5.1,16.2)
West
0.71 (0.4,1.3)
0.06 (0.0,0.1)
0.20 (0.1,0.4)
0.66 (0.4,1.2)
1.69 (0.9,3.1)
2.94 (1.6,5.3)
4.24(2.4,7.6)
7.63 (3.8,15.5)
Coastal Status








Noncoastal
0.58(0.3,1.1)
0.05 (0.0,0.1)
0.16 (0.1,0.3)
0.52 (0.3,1.0)
1.39 (0.8,2.5)
2.44(1.4,4.4)
3.40 (1.9,6.3)
6.03 (2.9,12.7)
Coastal
0.74(0.4,1.4)
0.05 (0.0,0.1)
0.20 (0.1,0.4)
0.62 (0.3,1.3)
1.68(0.8,3.4)
3.02 (1.6,5.8)
4.27 (2.2,8.4)
8.03 (3.9,16.6)
Coastal/Inland








Region








Pacific
0.71 (0.3,1.5)
0.05 (0.0,0.1)
0.17 (0.1,0.5)
0.56 (0.2,1.6)
1.58(0.7,3.8)
3.02 (1.5,6.2)
4.71 (2.3,9.4)
8.21 (3.5,19.1)
Atlantic
0.55 (0.2,1.5)
0.05 (0.0,0.1)
0.18(0.1,0.4)
0.55 (0.2,1.4)
1.42 (0.6,3.3)
2.27 (0.9,6.0)
3.24(1.3,8.1)
4.99 (1.2,20.4)
Gulf of Mexico
1.53 (0.8,2.8)
0.15 (0.1,0.3)
0.44(0.2,1.0)
1.38(0.6,3.0)
3.37 (1.5,7.8)
5.92 (2.8,12.7)
8.59 (4.5,16.5)
20.93 (7.8,56.0)
Great Lakes
0.45 (0.1,1.4)
0.04(0.0,0.1)
0.13 (0.1,0.3)
0.40 (0.1,1.1)
1.06 (0.3,3.2)
2.01 (0.8,5.2)
2.86 (1.1,7.7)
4.33 (0.8,23.5)
Inland Northeast
0.41 (0.2,0.9)
0.04(0.0,0.1)
0.12 (0.1,0.3)
0.39 (0.2,0.9)
1.08(0.5,2.2)
1.77 (0.8,3.8)
2.51 (1.1,5.5)
4.00 (1.4,11.2)
Inland Midwest
0.40 (0.1,1.6)
0.03 (0.0,0.1)
0.11 (0.0,0.4)
0.35 (0.1,1.5)
0.95 (0.2,3.9)
1.61 (0.4,7.0)
2.49 (0.7,8.4)
4.22 (0.9,19.4)
Inland South
0.72 (0.4,1.2)
0.06 (0.0,0.1)
0.20 (0.1,0.4)
0.63 (0.4,1.1)
1.72 (1.0,2.8)
3.04(1.8,5.2)
4.14(2.3,7.4)
7.59 (3.8,15.0)
Inland West
0.72 (0.4,1.4)
0.07 (0.0,0.1)
0.24(0.1,0.5)
0.71 (0.4,1.4)
1.79 (0.9,3.5)
2.91 (1.4,5.8)
3.93 (1.9,8.3)
7.29 (3.1,16.9)
C-90

-------
Table C-46. Trophic level 2 marine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean
95% CI)
25th
50th
75
th
90th
95th
97th
99
th
Total
fiPnHor
0.86
0.4,1.7)
0.10 (0.1,0.2)
0.35 (0.2,0.6)
0.99 (0.6,1.6)
2.26 (1.3,3.9)
3.43 (1.6,7.3)
4.51 (1.9,10.5)
6.96 (2.1,22.9)
VJCllUCl
Female
0.67
0.4,1.2)
0.08
0.0,0.2)
0.29
0.2,0.5)
0.80
0.5,1.3)
1.74(1.0,2.9)
2.64(1.4,5.0)
3.33 (1.5,7.3)
5.12 (1.8,15.0)
Male
A np
1.10
0.5,2.3)
0.14
0.1,0.3)
0.46
0.3,0.8)
1.28
0.8,2.2)
2.86 (1.4,5.7)
4.45 (2.0,9.9)
5.77 (2.3,14.3)
8.62 (2.4,30.9)
age
1 to <3 yrs
0.17
0.1,0.5)
0.02
0.0,0.1)
0.06
0.0,0.2)
0.17
0.1,0.6)
0.44(0.1,1.5)
0.75 (0.2,2.6)
1.02 (0.3,3.4)
1.77 (0.5,6.0)
3 to <6 yrs
0.31
0.1,0.7)
0.04
0.0,0.1)
0.12
0.1,0.3)
0.37
0.2,0.8)
0.82 (0.4,1.7)
1.20 (0.5,3.0)
1.60 (0.6,4.4)
2.54 (0.7,9.6)
6 to <11 yrs
0.34
0.1,0.8)
0.04
0.0,0.1)
0.12
0.0,0.4)
0.35
0.1,1.0)
0.86 (0.4,2.1)
1.48(0.6,3.7)
1.88(0.8,4.3)
3.37 (1.4,8.0)
11 to <16 yrs
0.34
0.1,2.3)
0.04
0.0,0.2)
0.12
0.0,0.7)
0.35
0.1,2.1)
0.85 (0.1,5.7)
1.37 (0.2,10.1)
1.92 (0.3,13.3)
3.08
0.3,27.2)
16 to <18 yrs
0.56
0.2,1.3)
0.06
0.0,0.2)
0.20
0.1,0.4)
0.62
0.3,1.2)
1.51 (0.7,3.1)
2.32 (1.0,5.4)
2.94(1.0,8.3)
4.63
1.2,18.4)
18 to <21 yrs
0.74
0.3,1.7)
0.07
0.0,0.2)
0.25
0.1,0.7)
0.80
0.3,2.3)
1.87 (0.8,4.4)
2.94(1.3,6.6)
3.88(1.7,8.9)
6.75
2.6,17.8)
21 to <35 yrs
0.93
0.6,1.5)
0.14
0.1,0.4)
0.44
0.2,0.9)
1.13
0.7,1.9)
2.39 (1.6,3.7)
3.63 (2.2,6.1)
4.50 (2.3,8.8)
6.74
2.4,19.0)
35 to <50 yrs
1.00
0.5,2.2)
0.17
0.1,0.3)
0.48
0.3,0.8)
1.21
0.7,2.1)
2.50 (1.2,5.3)
3.82 (1.6,9.1)
4.98(2.0,12.5)
7.37
2.1,26.4)
50 to <65 yrs
1.35
0.6,3.0)
0.25
0.1,0.5)
0.69
0.4,1.2)
1.67
0.9,3.0)
3.28(1.4,7.6)
5.11 (2.2,12.1)
6.48 (2.4,17.2)
8.92
2.0,39.6)
65+ yrs
1 nrn m o
0.91
0.4,2.1)
0.14
0.1,0.3)
0.41
0.2,0.7)
1.07
0.6,2.0)
2.33 (1.1,4.9)
3.43 (1.3,9.0)
4.56 (1.7,12.6)
6.83
1.8,26.6)
1 IllUIIlc
<$20,000
0.65
0.3,1.3)
0.07
0.0,0.1)
0.24
0.1,0.4)
0.70
0.4,1.2)
1.65 (0.9,3.2)
2.62 (1.2,5.8)
3.61 (1.6,8.1)
5.84
2.0,16.6)
>$20,000
0.89
0.4,1.8)
0.11
0.1,0.2)
0.37
0.2,0.6)
1.03
0.7,1.6)
2.31 (1.3,4.2)
3.50 (1.6,7.7)
4.57 (1.9,11.2)
6.98
2.0,24.4)
Income unknown
1.36
0.7,2.5)
0.18
0.0,0.8)
0.62
0.2,2.3)
1.79
0.6,5.3)
3.50 (1.9,6.5)
5.67 (3.0,10.8)
6.66 (3.4,13.2)
8.92
2.5,31.2)
Income, finer detail













<$20,000
0.65
0.3,1.3)
0.07
0.0,0.1)
0.24
0.1,0.4)
0.70
0.4,1.2)
1.65 (0.9,3.2)
2.62 (1.2,5.8)
3.61 (1.6,8.1)
5.84
2.0,16.6)
$20k-$45k
0.81
0.4,1.5)
0.10
0.0,0.3)
0.33
0.1,0.9)
0.93
0.4,2.1)
2.08(1.1,3.9)
3.16 (1.8,5.5)
4.22 (2.3,7.6)
6.60
3.2,13.5)
$45k-$75k
0.83
0.3,2.0)
0.10
0.0,0.2)
0.34
0.2,0.6)
0.95
0.5,1.8)
2.15 (1.0,4.7)
3.42 (1.4,8.1)
4.41 (1.6,12.1)
6.68
1.7,26.8)
$75k+
1.01
0.4,2.7)
0.14
0.1,0.2)
0.46
0.3,0.8)
1.21
0.6,2.4)
2.65 (1.1,6.3)
3.84(1.2,12.0)
4.99 (1.5,16.8)
7.85
1.9,32.3)
>$20,000
0.54
0.2,1.7)
0.09
0.0,0.2)
0.25
0.1,0.7)
0.65
0.2,1.8)
1.44(0.5,4.0)
2.05 (0.6,7.0)
2.51 (0.6,10.5)
3.36
0.4,25.9)
Inc Ref/DK
1.54
0.8,2.9)
0.22
0.1,0.7)
0.72
0.3,2.1)
1.98
0.9,4.6)
4.03 (2.2,7.4)
6.09 (3.1,11.9)
7.37 (3.5,15.5)
10.11
2.9,35.2)
Inc missing
1.00
0.2,4.7)
0.12
0.0,1.0)
0.41
0.1,3.4)
1.34(0.2,11.3)
2.67 (0.5,14.0)
3.69 (0.9,14.7)
4.57 (1.2,17.5)
7.10
1.7,29.5)
Race/Ethnicity













Mexican American
0.82
0.5,1.4)
0.10
0.0,0.2)
0.33
0.2,0.6)
0.94
0.6,1.5)
2.12 (1.3,3.5)
3.22 (1.7,6.1)
4.37 (2.2,8.6)
6.92
2.8,17.0)
Other Hispanic
0.82
0.4,1.6)
0.10
0.0,0.4)
0.37
0.1,1.1)
0.96
0.5,1.9)
2.17 (1.2,4.0)
3.08(1.5,6.5)
3.97 (1.7,9.2)
6.09
2.0,18.9)
White
0.83
0.4,1.9)
0.10
0.1,0.2)
0.34
0.2,0.6)
0.95
0.5,1.7)
2.15 (1.0,4.6)
3.27 (1.2,8.8)
4.37 (1.5,12.4)
6.87
1.8,26.6)
Black
0.68
0.4,1.1)
0.09
0.0,0.2)
0.30
0.2,0.5)
0.82
0.6,1.2)
1.76 (1.2,2.7)
2.65 (1.5,4.7)
3.40 (1.7,7.0)
5.01
1.6,15.9)
Other race
1.68
0.8,3.5)
0.27
0.1,1.1)
0.92
0.2,3.9)
2.24
0.8,6.6)
4.23 (2.0,8.8)
6.17 (3.1,12.3)
7.25 (3.8,13.8)
10.18
4.2,24.7)
C-91

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Table C-46. Trophic level 2 marine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.45 (0.2,1.1)
0.05 (0.0,0.1)
0.18(0.1,0.4)
0.51 (0.3,1.0)
1.18(0.5,2.6)
1.83 (0.7,4.7)
2.29 (0.7,7.4)
3.78(1.0,14.3)
Northeast
1.24 (0.4,3.8)
0.16 (0.1,0.3)
0.54(0.2,1.2)
1.47 (0.6,3.6)
3.12 (1.0,9.6)
4.86 (1.5,16.0)
6.27 (1.7,22.5)
9.58(2.1,44.1)
South
0.97 (0.6,1.7)
0.12 (0.0,0.3)
0.41 (0.2,0.9)
1.15 (0.6,2.2)
2.53 (1.5,4.3)
3.92 (2.2,7.0)
5.10 (2.7,9.6)
7.23 (2.6,19.8)
West
0.90 (0.5,1.7)
0.13 (0.1,0.3)
0.43 (0.2,0.8)
1.10 (0.7,1.9)
2.38(1.4,4.2)
3.42 (1.7,6.9)
4.37 (2.0,9.6)
6.70 (2.5,18.1)
Coastal Status








Noncoastal
0.70 (0.3,1.5)
0.08(0.0,0.2)
0.27 (0.2,0.5)
0.79 (0.5,1.3)
1.79 (0.9,3.4)
2.74(1.2,6.5)
3.66 (1.4,9.7)
6.27 (2.0,19.5)
Coastal
1.12 (0.6,2.2)
0.16 (0.1,0.3)
0.52 (0.3,0.9)
1.38(0.8,2.3)
2.90 (1.6,5.4)
4.26 (1.9,9.4)
5.36 (2.1,13.5)
7.99 (2.3,27.5)
Coastal/Inland Region








Pacific
1.08(0.6,2.0)
0.15 (0.1,0.3)
0.52 (0.2,1.1)
1.37 (0.7,2.6)
2.75 (1.5,5.1)
3.96 (2.0,7.9)
5.10 (2.4,10.7)
7.66 (2.9,20.3)
Atlantic
1.10 (0.3,3.8)
0.16 (0.1,0.4)
0.52 (0.2,1.3)
1.35 (0.5,3.7)
2.87 (0.9,8.9)
4.16 (1.1,16.1)
5.20 (1.1,23.8)
7.90 (1.4,45.5)
Gulf of Mexico
1.71 (0.9,3.4)
0.31 (0.1,1.3)
0.94(0.3,3.1)
2.30 (0.9,5.8)
4.48(2.2,9.0)
6.15 (3.3,11.5)
7.58(3.8,14.9)
9.77 (3.3,28.5)
Great Lakes
0.66 (0.2,1.9)
0.09 (0.0,0.2)
0.29 (0.1,0.7)
0.80 (0.3,1.9)
1.74(0.6,4.7)
2.45 (0.7,8.6)
3.30 (1.0,11.3)
5.00 (1.1,21.8)
Inland Northeast
1.26 (0.4,4.0)
0.15 (0.1,0.4)
0.51 (0.2,1.4)
1.45 (0.5,4.1)
3.12 (0.9,10.6)
5.15 (1.7,15.7)
6.55 (1.9,23.0)
10.40 (2.5,42.7)
Inland Midwest
0.39 (0.2,0.9)
0.05 (0.0,0.1)
0.16 (0.1,0.3)
0.45 (0.2,0.9)
1.01 (0.5,2.1)
1.59 (0.7,3.6)
2.03 (0.8,5.1)
3.06 (0.9,10.5)
Inland South
0.74(0.4,1.4)
0.09 (0.0,0.3)
0.31 (0.1,0.8)
0.86 (0.4,2.0)
1.90 (1.0,3.7)
2.92 (1.6,5.5)
3.95 (2.0,8.0)
6.37 (2.9,13.9)
Inland West
0.73 (0.3,1.7)
0.12 (0.1,0.3)
0.35 (0.2,0.7)
0.88(0.5,1.7)
1.87 (0.9,4.0)
2.67 (1.0,7.2)
3.43 (1.2,10.2)
5.41 (1.6,18.5)
C-92

-------
Table C-47. Trophic level 2 marine fish usual fish consumption rate estimates, adults >21 years

Mean






Percentiles (95% CI)




95% CI)
25th
50th
75th
90th
95th
97th
99
th
All Adults
^onrloi'
1.05
0.5,2.0)
0.17 (0.1,0.3)
0.49 (0.3,0.8)
1.26 (0.8,1.9)
2.65 (1.4,4.8)
3.97 (1.8,8.7)
5.15 (2.1,12.4)
7.70 (2.2,26.7)
VJcllUcI
Female
0.80
0.4,1.4)
0.13
0.1,0.3)
0.39
0.2,0.7)
0.99 (0.6,1.5)
2.03 (1.2,3.5)
2.96 (1.5,5.9)
3.75 (1.7,8.5)
5.49
1.7,17.7)
Male
A np
1.37
0.6,2.9)
0.24
0.1,0.4)
0.68
0.4,1.1)
1.69 (1.0,2.8)
3.47 (1.7,7.1)
5.26 (2.3,11.9)
6.55 (2.5,17.4)
9.24
2.2,38.8)
age
21 to <35 yrs
0.93
0.6,1.5)
0.14
0.1,0.4)
0.44
0.2,0.9)
1.13 (0.7,1.9)
2.39 (1.6,3.7)
3.63 (2.2,6.1)
4.50 (2.3,8.8)
6.74
2.4,19.0)
35 to <50 yrs
1.00
0.5,2.2)
0.17
0.1,0.3)
0.48
0.3,0.8)
1.21 (0.7,2.1)
2.50 (1.2,5.3)
3.82 (1.6,9.1)
4.98(2.0,12.5)
7.37
2.1,26.4)
50 to <65 yrs
1.35
0.6,3.0)
0.25
0.1,0.5)
0.69
0.4,1.2)
1.67 (0.9,3.0)
3.28(1.4,7.6)
5.11 (2.2,12.1)
6.48(2.4,17.2)
8.92
2.0,39.6)
65+ yrs
0.91
0.4,2.1)
0.14
0.1,0.3)
0.41
0.2,0.7)
1.07 (0.6,2.0)
2.33 (1.1,4.9)
3.43 (1.3,9.0)
4.56 (1.7,12.6)
6.83
1.8,26.6)
WCA (13-49 years)
0.68
0.4,1.1)
0.10
0.0,0.2)
0.31
0.2,0.6)
0.84(0.5,1.3)
1.75 (1.1,2.8)
2.60 (1.5,4.7)
3.24(1.5,6.8)
4.82
1.7,13.8)
1 IllUlllc
<$20,000
0.79
0.4,1.7)
0.11
0.1,0.2)
0.33
0.2,0.6)
0.88(0.5,1.6)
1.95 (0.9,4.0)
3.11 (1.4,7.0)
4.25 (1.9,9.6)
6.40
2.0,20.1)
>$20,000
1.08
0.5,2.1)
0.18
0.1,0.3)
0.52
0.3,0.8)
1.31 (0.8,2.0)
2.69 (1.4,5.1)
4.01 (1.7,9.2)
5.17 (2.0,13.2)
7.77
2.2,28.1)
Income unknown
1.60
0.9,2.9)
0.28
0.1,1.4)
0.86
0.2,3.2)
2.18(0.8,5.8)
3.98(2.1,7.4)
5.94(3.0,11.6)
7.10 (3.2,15.8)
9.55
2.5,36.8)
Income, finer detail












<$20,000
0.79
0.4,1.7)
0.11
0.1,0.2)
0.33
0.2,0.6)
0.88(0.5,1.6)
1.95 (0.9,4.0)
3.11 (1.4,7.0)
4.25 (1.9,9.6)
6.40
2.0,20.1)
$20k-$45k
0.98
0.5,1.7)
0.16
0.0,0.5)
0.45
0.2,1.1)
1.17 (0.5,2.5)
2.44(1.3,4.4)
3.64(2.1,6.3)
4.77 (2.6,8.7)
7.21
3.4,15.1)
$45k-$75k
1.01
0.4,2.4)
0.16
0.1,0.3)
0.47
0.3,0.9)
1.21 (0.6,2.3)
2.55 (1.2,5.6)
3.95 (1.6,9.5)
5.10 (1.9,13.6)
6.91
1.4,34.7)
$75k+
1.24
0.5,3.3)
0.24
0.1,0.4)
0.64
0.4,1.1)
1.53 (0.7,3.2)
3.05 (1.1,8.2)
4.43 (1.4,14.3)
5.63 (1.6,19.9)
8.38
1.8,39.6)
>$20,000
0.61
0.2,2.1)
0.11
0.0,0.3)
0.29
0.1,0.9)
0.74(0.3,2.1)
1.63 (0.6,4.7)
2.24(0.6,8.4)
2.71 (0.6,12.6)
4.52
0.9,22.0)
Inc Ref/DK
1.74
0.9,3.3)
0.33
0.1,1.2)
0.95
0.3,2.7)
2.24(1.1,4.6)
4.63 (2.4,8.8)
6.54(3.3,13.1)
7.90 (3.4,18.4)
10.37
2.5,43.2)
Inc missing
1.28
0.2,6.8)
0.19
0.0,2.2)
0.68
0.1,8.3)
1.95 (0.2,20.8)
3.16 (0.6,15.9)
4.10 (1.1,15.5)
5.67 (1.3,25.5)
8.53
1.7,42.4)
Race/Ethnicity












Mexican American
1.09
0.6,1.9)
0.19
0.1,0.4)
0.54
0.3,1.0)
1.33 (0.8,2.1)
2.67 (1.6,4.6)
4.09 (2.2,7.7)
5.31 (2.6,10.8)
7.83
2.9,21.3)
Other Hispanic
1.06
0.5,2.0)
0.20
0.1,0.7)
0.55
0.2,1.4)
1.36 (0.7,2.8)
2.61 (1.4,5.0)
3.66 (1.6,8.2)
4.65 (1.9,11.6)
6.83
2.0,23.2)
White
0.99
0.4,2.3)
0.16
0.1,0.3)
0.46
0.3,0.8)
1.17 (0.6,2.1)
2.52 (1.2,5.4)
3.76 (1.4,10.1)
4.88(1.6,14.5)
7.38
1.7,31.2)
Black
0.86
0.5,1.4)
0.16
0.1,0.3)
0.45
0.3,0.8)
1.06 (0.7,1.5)
2.14(1.4,3.3)
3.14(1.7,5.8)
3.89 (1.7,8.7)
5.60
1.6,19.7)
Other race
2.10
1.0,4.4)
0.50
0.1,2.5)
1.34
0.3,5.6)
2.76 (1.1,7.1)
5.14(2.4,10.9)
6.85 (3.6,13.1)
8.09 (4.1,16.1)
10.53
3.6,30.7)
C-93

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Table C-47. Trophic level 2 marine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.54 (0.2,1.4)
0.09 (0.0,0.2)
0.25 (0.1,0.5)
0.64(0.3,1.3)
1.40 (0.6,3.1)
2.03 (0.7,5.8)
2.51 (0.7,9.0)
4.06 (1.0,16.9)
Northeast
1.47 (0.5,4.8)
0.26 (0.1,0.5)
0.75 (0.3,1.6)
1.78(0.7,4.8)
3.65 (1.1,11.8)
5.50 (1.6,19.0)
6.93 (1.7,27.5)
10.31 (2.0,53.0)
South
1.19 (0.7,2.0)
0.21 (0.1,0.5)
0.59 (0.3,1.3)
1.47 (0.8,2.7)
2.99 (1.8,5.1)
4.57 (2.5,8.2)
5.63 (2.8,11.3)
8.22 (3.1,22.1)
West
1.11 (0.6,2.0)
0.23 (0.1,0.5)
0.59 (0.3,1.1)
1.40 (0.8,2.3)
2.72 (1.5,5.0)
3.91 (1.9,8.1)
4.94(2.2,11.0)
7.32 (2.6,20.9)
Coastal Status








Noncoastal
0.86 (0.4,1.8)
0.13 (0.1,0.2)
0.39 (0.2,0.6)
0.99 (0.6,1.6)
2.13 (1.1,4.2)
3.17 (1.3,7.9)
4.23 (1.6,11.4)
6.78(1.9,23.9)
Coastal
1.35 (0.7,2.7)
0.26 (0.1,0.5)
0.72 (0.4,1.2)
1.73 (1.1,2.8)
3.40 (1.8,6.5)
4.89 (2.2,11.0)
5.95 (2.2,16.1)
8.39 (2.1,33.8)
Coastal/Inland Region








Pacific
1.30 (0.7,2.3)
0.25 (0.1,0.6)
0.71 (0.3,1.5)
1.65 (0.9,3.0)
3.19 (1.7,5.9)
4.57 (2.3,9.0)
5.70 (2.7,11.9)
8.09 (2.9,22.9)
Atlantic
1.32 (0.4,4.6)
0.27 (0.1,0.6)
0.70 (0.3,1.8)
1.70 (0.6,4.5)
3.25 (0.9,11.2)
4.64(1.1,19.3)
5.68(1.1,28.5)
8.34(1.3,54.2)
Gulf of Mexico
2.13 (1.1,4.2)
0.50 (0.1,1.9)
1.36 (0.4,4.8)
2.82 (1.2,6.5)
5.28(2.7,10.5)
7.00 (3.7,13.3)
8.18(3.9,17.0)
10.90 (3.7,32.1)
Great Lakes
0.81 (0.3,2.3)
0.15 (0.1,0.4)
0.44(0.2,1.0)
1.03 (0.4,2.4)
2.00 (0.7,5.9)
2.71 (0.7,10.8)
3.76 (1.1,13.1)
5.38(1.1,26.4)
Inland Northeast
1.50 (0.5,4.9)
0.23 (0.1,0.6)
0.72 (0.3,1.8)
1.76 (0.6,5.3)
3.69 (1.1,12.4)
5.82 (1.8,18.6)
7.36 (2.0,26.4)
11.03 (2.3,52.2)
Inland Midwest
0.47 (0.2,1.1)
0.08(0.0,0.2)
0.22 (0.1,0.4)
0.56 (0.3,1.1)
1.22 (0.6,2.5)
1.83 (0.8,4.2)
2.29 (0.9,6.1)
3.48(1.0,11.8)
Inland South
0.92 (0.5,1.8)
0.16 (0.0,0.5)
0.45 (0.2,1.2)
1.09 (0.5,2.4)
2.27 (1.2,4.3)
3.39 (1.8,6.3)
4.62 (2.2,9.8)
6.59 (3.1,14.2)
Inland West
0.90 (0.4,2.0)
0.21 (0.1,0.5)
0.50 (0.3,0.9)
1.10 (0.6,2.1)
2.26 (1.1,4.7)
3.14(1.2,8.3)
4.03 (1.4,11.4)
5.99 (1.6,22.3)
C-94

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Table C-48. Trophic level 2 marine fish usual fish consumption rate estimates, youth <21 years

Mean







Percentiles (95% CI)



95% CI)
2E
.th
50th
75
th
9C
Ith
95th
97th
99th
All Youth
^onrloi'
0.40
0.2,0.8)
0.04(0.0,0.1)
0.13 (0.1,0.3)
0.41 (0.2,0.8)
1.01 (0.5,1.9)
1.69 (0.8,3.5)
2.31 (1.0,5.2)
3.74(1.2,11.6)
VJcllUcI
Female
0.30
0.2,0.6)
0.03
0.0,0.1)
0.10
0.0,0.2)
0.32
0.2,0.6)
0.80
0.4,1.5)
1.29 (0.7,2.5)
1.74(0.9,3.4)
2.70 (1.0,7.2)
Male
A fTQ
0.51
0.2,1.1)
0.05
0.0,0.1)
0.17
0.1,0.3)
0.51
0.3,1.0)
1.26
0.6,2.8)
2.10 (0.9,4.9)
2.83 (1.1,7.3)
4.86 (1.6,14.8)
Mge
1 to <3 yrs
0.17
0.1,0.5)
0.02
0.0,0.1)
0.06
0.0,0.2)
0.17
0.1,0.6)
0.44
0.1,1.5)
0.75 (0.2,2.6)
1.02 (0.3,3.4)
1.77 (0.5,6.0)
3 to <6 yrs
0.31
0.1,0.7)
0.04
0.0,0.1)
0.12
0.1,0.3)
0.37
0.2,0.8)
0.82
0.4,1.7)
1.20 (0.5,3.0)
1.60 (0.6,4.4)
2.54 (0.7,9.6)
6 to <11 yrs
0.34
0.1,0.8)
0.04
0.0,0.1)
0.12
0.0,0.4)
0.35
0.1,1.0)
0.86
0.4,2.1)
1.48(0.6,3.7)
1.88(0.8,4.3)
3.37 (1.4,8.0)
11 to <16 yrs
0.34
0.1,2.3)
0.04
0.0,0.2)
0.12
0.0,0.7)
0.35
0.1,2.1)
0.85
0.1,5.7)
1.37 (0.2,10.1)
1.92 (0.3,13.3)
3.08(0.3,27.2)
16 to <18 yrs
0.56
0.2,1.3)
0.06
0.0,0.2)
0.20
0.1,0.4)
0.62
0.3,1.2)
1.51
0.7,3.1)
2.32 (1.0,5.4)
2.94(1.0,8.3)
4.63 (1.2,18.4)
18 to <21 yrs
1 nrnmo
0.74
0.3,1.7)
0.07
0.0,0.2)
0.25
0.1,0.7)
0.80
0.3,2.3)
1.87
0.8,4.4)
2.94(1.3,6.6)
3.88(1.7,8.9)
6.75 (2.6,17.8)
1 IllUIIlC
<$20,000
0.36
0.2,0.8)
0.04
0.0,0.1)
0.12
0.1,0.2)
0.36
0.2,0.7)
0.90
0.5,1.8)
1.48(0.7,3.3)
2.13 (1.0,4.7)
3.33 (1.0,11.4)
>$20,000
0.39
0.2,0.9)
0.04
0.0,0.1)
0.13
0.1,0.3)
0.40
0.2,0.8)
0.99
0.5,2.0)
1.66 (0.8,3.6)
2.25 (0.9,5.4)
3.64 (1.1,12.2)
Income unknown
0.80
0.3,2.1)
0.09
0.0,0.5)
0.27
0.1,1.2)
0.84
0.2,3.0)
2.06
0.7,6.3)
3.60 (1.1,11.6)
4.41 (1.7,11.5)
8.48(2.6,27.5)
Income, finer detail













<$20,000
0.36
0.2,0.8)
0.04
0.0,0.1)
0.12
0.1,0.2)
0.36
0.2,0.7)
0.90
0.5,1.8)
1.48(0.7,3.3)
2.13 (1.0,4.7)
3.33 (1.0,11.4)
$20k-$45k
0.41
0.2,0.9)
0.04
0.0,0.1)
0.13
0.0,0.4)
0.40
0.1,1.1)
1.01
0.4,2.4)
1.69 (0.7,3.8)
2.30 (1.1,5.0)
3.68 (1.5,8.8)
$45k-$75k
0.33
0.1,1.0)
0.03
0.0,0.1)
0.11
0.0,0.2)
0.34
0.2,0.7)
0.85
0.3,2.2)
1.40 (0.4,4.4)
1.79 (0.4,7.5)
2.89 (0.4,20.0)
$75k+
0.43
0.2,1.1)
0.04
0.0,0.1)
0.14
0.1,0.3)
0.45
0.2,1.0)
1.07
0.4,2.9)
1.88(0.8,4.7)
2.49 (0.9,7.0)
4.10 (1.1,14.8)
>$20,000
0.30
0.1,1.0)
0.04
0.0,0.1)
0.12
0.0,0.3)
0.38
0.1,1.1)
0.84
0.3,2.7)
1.27 (0.4,4.4)
1.44(0.3,7.2)
2.10 (0.3,15.7)
Inc Ref/DK
1.00
0.3,3.1)
0.11
0.0,0.5)
0.33
0.1,1.2)
1.08
0.3,4.4)
2.65
0.7,9.6)
3.93 (1.4,11.2)
5.69 (1.8,18.2)
9.20 (2.9,29.6)
Inc missing
0.51
0.1,2.2)
0.07
0.0,0.7)
0.19
0.0,1.2)
0.66
0.1,5.0)
1.47
0.2,9.0)
1.96 (0.4,9.0)
2.28(0.5,10.7)
4.23 (0.8,23.7)
Race/Ethnicity













Mexican American
0.41
0.2,0.9)
0.05
0.0,0.1)
0.15
0.1,0.3)
0.42
0.2,0.8)
1.01
0.5,2.0)
1.65 (0.8,3.5)
2.17 (0.9,5.1)
3.66 (1.2,11.1)
Other Hispanic
0.39
0.2,0.8)
0.04
0.0,0.1)
0.13
0.0,0.4)
0.43
0.2,1.1)
1.00
0.5,2.2)
1.68(0.8,3.6)
2.19 (1.0,4.7)
3.49 (1.3,9.4)
White
0.38
0.2,0.9)
0.03
0.0,0.1)
0.11
0.1,0.2)
0.36
0.2,0.7)
0.93
0.4,2.0)
1.59 (0.7,3.8)
2.20 (0.8,5.7)
3.64(1.0,12.9)
Black
0.32
0.1,0.7)
0.04
0.0,0.1)
0.13
0.1,0.2)
0.36
0.2,0.6)
0.82
0.4,1.6)
1.29 (0.6,2.9)
1.72 (0.7,4.2)
2.67 (0.7,9.8)
Other race
0.77
0.3,1.7)
0.09
0.0,0.3)
0.33
0.1,1.2)
0.91
0.3,2.4)
2.13
0.9,5.2)
3.06 (1.4,6.8)
3.78(1.6,8.8)
5.31 (1.7,17.1)
C-95

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Table C-48. Trophic level 2 marine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
0.21 (0.1,0.7)
0.02 (0.0,0.1)
0.06 (0.0,0.2)
0.19 (0.1,0.5)
0.52 (0.2,1.5)
0.91 (0.3,2.8)
1.19 (0.3,4.5)
2.18 (0.5,9.6)
Northeast
0.64 (0.3,1.6)
0.06 (0.0,0.1)
0.21 (0.1,0.4)
0.62 (0.3,1.5)
1.59 (0.6,4.0)
2.69 (1.1,6.7)
3.52 (1.3,9.5)
6.23 (2.0,19.6)
South
0.41 (0.2,0.8)
0.05 (0.0,0.1)
0.15 (0.1,0.4)
0.44(0.2,0.9)
1.04(0.5,2.1)
1.67 (0.8,3.4)
2.21 (1.0,4.9)
3.67 (1.3,10.1)
West
0.44(0.2,0.9)
0.05 (0.0,0.1)
0.16 (0.1,0.4)
0.49 (0.2,1.0)
1.16 (0.6,2.2)
1.82 (0.9,3.6)
2.40 (1.1,5.2)
3.69 (1.2,11.4)
Coastal Status








Noncoastal
0.33 (0.1,0.7)
0.03 (0.0,0.1)
0.10 (0.1,0.2)
0.32 (0.2,0.6)
0.81 (0.4,1.6)
1.38(0.6,3.0)
1.86 (0.8,4.6)
3.11 (0.9,10.5)
Coastal
0.52 (0.2,1.1)
0.06 (0.0,0.1)
0.19 (0.1,0.4)
0.57 (0.3,1.1)
1.32 (0.6,2.7)
2.20 (1.0,4.6)
2.75 (1.1,7.0)
4.63 (1.5,14.1)
Coastal/Inland Region








Pacific
0.51 (0.2,1.1)
0.05 (0.0,0.1)
0.18(0.1,0.4)
0.58(0.3,1.3)
1.32 (0.6,2.8)
2.26 (1.0,4.9)
2.68(1.1,6.4)
4.31 (1.3,13.8)
Atlantic
0.50 (0.2,1.4)
0.06 (0.0,0.2)
0.19 (0.1,0.4)
0.54(0.2,1.3)
1.17 (0.4,3.7)
2.04(0.7,6.0)
2.67 (0.8,8.9)
4.84(1.5,15.9)
Gulf of Mexico
0.79 (0.4,1.7)
0.12 (0.0,0.4)
0.37 (0.1,1.3)
0.99 (0.4,2.6)
1.95 (0.9,4.4)
2.94(1.3,6.6)
3.57 (1.3,9.5)
5.38(1.4,20.2)
Great Lakes
0.33 (0.1,1.2)
0.04(0.0,0.1)
0.10 (0.0,0.3)
0.32 (0.1,1.1)
0.80 (0.2,3.1)
1.38(0.4,5.3)
2.05 (0.6,7.3)
4.41 (1.3,15.2)
Inland Northeast
0.64(0.2,1.8)
0.06 (0.0,0.2)
0.19 (0.1,0.6)
0.58(0.2,2.0)
1.60 (0.5,4.9)
2.80 (1.1,7.5)
3.50 (1.1,11.5)
6.32 (1.8,22.5)
Inland Midwest
0.17 (0.1,0.4)
0.02 (0.0,0.0)
0.05 (0.0,0.1)
0.17 (0.1,0.4)
0.45 (0.2,1.1)
0.78(0.3,1.9)
1.02 (0.4,2.6)
1.80 (0.6,5.5)
Inland South
0.30 (0.2,0.6)
0.03 (0.0,0.1)
0.10 (0.0,0.3)
0.30 (0.1,0.6)
0.74(0.4,1.5)
1.21 (0.6,2.4)
1.65 (0.8,3.3)
2.59 (1.2,5.6)
Inland West
0.38(0.2,0.8)
0.04(0.0,0.1)
0.15 (0.1,0.4)
0.42 (0.2,0.9)
1.01 (0.5,2.1)
1.63 (0.8,3.4)
2.02 (0.8,4.9)
3.08(0.9,10.2)
C-96

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Table C-49. Trophic level 3 marine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean
95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
3.18
2.0,5.0)
0.63 (0.3,1.3)
1.81 (1.0,3.3)
4.13 (2.5,6.7)
7.75 (5.1,11.8)
10.95 (7.2,16.8)
13.48 (8.8,20.6)
19.37 (12.5,30.0)
vjciiuci
Female
2.78
1.8,4.3)
0.56
0.3,1.2)
1.63 (0.8,3.1)
3.61 (2.3,5.8)
6.69 (4.5,9.9)
9.57 (6.3,14.5)
11.64 (7.8,17.4)
16.50 (10.9,24.9)
Male
A np
3.67
2.3,5.9)
0.73
0.4,1.5)
2.09 (1.2,3.8)
4.78(2.9,8.0)
8.96 (5.6,14.2)
12.59 (8.0,19.9)
15.50 (9.7,24.8)
21.97 (13.7,35.2)
age
1 to <3 yrs
1.01
0.6,1.7)
0.17
0.1,0.4)
0.50 (0.2,1.1)
1.24(0.7,2.3)
2.55 (1.5,4.4)
3.66 (2.2,6.0)
4.54(2.8,7.3)
6.64(4.0,11.1)
3 to <6 yrs
1.33
0.6,2.9)
0.24
0.1,0.8)
0.68(0.2,2.1)
1.68(0.7,4.2)
3.37 (1.5,7.6)
4.76 (2.4,9.6)
6.12 (3.0,12.5)
9.15 (4.7,17.9)
6 to <11 yrs
2.16
0.8,5.6)
0.37
0.1,1.2)
1.07 (0.3,3.4)
2.77 (0.9,8.4)
5.50 (2.1,14.6)
7.75 (3.3,18.3)
9.54(4.4,20.9)
14.29 (6.9,29.7)
11 to <16 yrs
1.48
0.9,2.6)
0.25
0.1,0.5)
0.70 (0.4,1.3)
1.81 (1.0,3.2)
3.58(2.1,6.1)
5.48 (3.1,9.6)
6.87 (4.0,11.8)
10.84 (5.8,20.2)
16 to <18 yrs
1.46
0.8,2.6)
0.24
0.1,0.5)
0.72 (0.4,1.5)
1.81 (1.0,3.4)
3.83 (2.0,7.4)
5.35 (3.0,9.5)
6.30 (3.7,10.8)
9.95 (5.5,18.0)
18 to <21 yrs
2.03
1.2,3.4)
0.30
0.1,0.7)
0.94(0.5,1.8)
2.54(1.4,4.5)
5.23 (3.0,9.0)
7.49 (4.4,12.8)
9.81 (5.7,16.8)
14.88 (8.6,25.9)
21 to <35 yrs
3.54
1.9,6.6)
0.85
0.3,2.5)
2.20 (0.9,5.3)
4.60 (2.4,9.0)
8.36 (4.7,15.0)
11.46 (6.8,19.3)
13.77 (8.7,21.8)
20.54 (11.7,36.1)
35 to <50 yrs
3.44
2.5,4.8)
0.89
0.5,1.5)
2.12 (1.4,3.3)
4.42 (3.1,6.3)
7.92 (5.8,10.8)
11.16 (8.0,15.6)
13.74 (9.6,19.7)
20.12 (13.4,30.3)
50 to <65 yrs
5.01
2.5,9.9)
1.56
0.6,4.3)
3.36 (1.5,7.4)
6.66 (3.2,13.7)
11.54 (5.7,23.3)
15.16 (8.0,28.9)
17.97 (9.8,32.9)
23.47 (14.3,38.6)
65+ yrs
1 nrn m o
3.29
2.3,4.8)
0.91
0.5,1.8)
2.14(1.2,3.7)
4.32 (2.8,6.6)
7.56 (5.4,10.7)
10.26 (7.3,14.5)
12.37 (8.6,17.7)
17.38 (11.3,26.8)
1 IllUIIlc
<$20,000
2.98
2.1,4.2)
0.51
0.3,0.9)
1.59 (1.0,2.5)
3.75 (2.6,5.4)
7.35 (5.2,10.3)
10.56 (7.4,15.0)
12.84 (8.8,18.8)
20.04 (13.4,29.9)
>$20,000
3.18
2.0,5.2)
0.65
0.3,1.4)
1.85 (1.0,3.6)
4.14(2.5,6.9)
7.73 (4.9,12.2)
10.90 (6.9,17.3)
13.44 (8.4,21.5)
19.10 (12.0,30.5)
Income unknown
4.11
1.7,9.8)
0.91
0.2,4.0)
2.57 (0.7,10.0)
5.58(2.0,15.9)
10.12 (4.4,23.1)
13.76 (6.6,28.8)
16.23 (8.6,30.6)
21.84 (13.0,36.7)
Income, finer detail










<$20,000
2.98
2.1,4.2)
0.51
0.3,0.9)
1.59 (1.0,2.5)
3.75 (2.6,5.4)
7.35 (5.2,10.3)
10.56 (7.4,15.0)
12.84 (8.8,18.8)
20.04 (13.4,29.9)
$20k-$45k
2.87
1.7,5.0)
0.58
0.2,1.4)
1.67 (0.7,3.7)
3.70 (2.0,6.7)
6.87 (4.3,11.1)
9.80 (6.0,15.9)
11.96 (7.6,18.9)
17.95 (10.4,31.0)
$45k-$75k
3.38
1.8,6.2)
0.63
0.3,1.4)
1.90 (0.9,4.0)
4.40 (2.3,8.6)
8.33 (4.5,15.3)
11.79 (6.5,21.5)
14.39 (8.2,25.2)
20.62 (12.1,35.2)
$75k+
3.29
2.2,4.9)
0.71
0.4,1.5)
1.94(1.2,3.2)
4.29 (2.8,6.5)
7.94(5.4,11.6)
11.21 (7.4,17.0)
13.84 (8.8,21.9)
19.31 (12.3,30.4)
>$20,000
3.39
1.5,7.8)
0.84
0.2,2.8)
2.19 (0.8,6.2)
4.55 (1.9,11.1)
7.72 (3.7,16.2)
10.45 (5.2,21.2)
12.70 (6.0,26.7)
19.12 (7.5,48.9)
Inc Ref/DK
4.18(1.6,10.7)
0.98
0.2,4.7)
2.76 (0.6,12.2)
5.79 (1.8,18.4)
10.24 (4.1,25.6)
12.93 (6.7,24.9)
14.70 (8.6,25.1)
21.43 (11.1,41.3)
Inc missing
3.97 (1.2,13.3)
0.78
0.1,4.1)
2.13 (0.5,8.9)
5.02 (1.4,18.7)
9.80 (3.2,30.5)
15.88 (3.9,65.0)
18.27 (5.1,65.0)
21.84 (8.3,57.2)
Race/Ethnicity










Mexican American
2.67 (1.7,4.3)
0.51
0.3,1.0)
1.50 (0.8,3.0)
3.58(2.0,6.5)
6.47 (4.2,10.0)
9.04(6.0,13.7)
11.09 (7.4,16.7)
16.15 (10.3,25.4)
Other Hispanic
2.20 (1.4,3.4)
0.45
0.2,1.0)
1.33 (0.7,2.6)
2.99 (1.8,5.0)
5.28(3.4,8.2)
6.96 (4.3,11.3)
8.57 (5.2,14.2)
12.22 (7.2,20.8)
White
2.87 (1.8,4.5)
0.59
0.3,1.2)
1.68(0.9,3.1)
3.73 (2.3,5.9)
6.92 (4.6,10.3)
9.92 (6.4,15.4)
12.10 (7.8,18.8)
16.77 (11.1,25.3)
Black
3.44 (2.4,4.9)
0.83
0.5,1.5)
2.16 (1.4,3.4)
4.66 (3.1,6.9)
8.13 (5.7,11.6)
10.85 (7.4,15.9)
13.15 (8.7,19.9)
18.91 (11.9,30.1)
Other race
7.41 (3.7,14.8)
2.10
0.7,6.2)
5.54(2.0,15.5)
10.35 (4.9,21.7)
16.36 (9.4,28.6)
21.13 (12.3,36.2)
25.87 (13.7,48.8)
34.67 (18.5,65.1)
C-97

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Table C-49. Trophic level 3 marine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
2.23 (1.2,4.0)
0.42 (0.2,0.9)
1.23 (0.6,2.6)
2.76 (1.5,4.9)
5.39 (3.1,9.4)
7.82 (4.4,14.0)
10.14 (5.2,19.8)
15.15 (7.5,30.7)
Northeast
3.72 (2.2,6.2)
0.73 (0.4,1.4)
2.16 (1.2,3.8)
4.96 (2.8,8.7)
8.93 (5.5,14.4)
12.77 (7.3,22.5)
15.07 (9.1,24.9)
22.85 (11.8,44.3)
South
3.25 (2.2,4.9)
0.68(0.3,1.3)
1.96 (1.1,3.6)
4.26 (2.7,6.6)
7.73 (5.4,11.1)
10.78 (7.4,15.6)
13.17 (9.0,19.3)
19.07 (12.2,29.7)
West
3.72 (2.3,6.1)
0.82 (0.4,1.9)
2.26 (1.1,4.6)
4.91 (2.8,8.6)
9.14(5.4,15.4)
12.38 (7.9,19.4)
15.01 (9.7,23.1)
20.33 (13.5,30.6)
Coastal Status








Noncoastal
3.04(1.6,5.8)
0.57 (0.2,1.3)
1.68(0.8,3.7)
3.91 (2.0,7.8)
7.42 (4.0,13.7)
10.63 (5.7,19.9)
13.06 (7.1,24.0)
18.85 (10.6,33.7)
Coastal
3.41 (2.5,4.7)
0.75 (0.4,1.2)
2.04(1.4,3.0)
4.47 (3.2,6.2)
8.17 (6.0,11.1)
11.47 (8.2,16.0)
14.06 (9.8,20.2)
19.91 (13.0,30.6)
Coastal/Inland Region








Pacific
3.54(2.5,5.0)
0.72 (0.4,1.2)
2.09 (1.3,3.3)
4.62 (3.2,6.7)
8.59 (6.1,12.2)
12.14 (8.5,17.3)
14.75 (10.0,21.7)
20.28 (12.7,32.4)
Atlantic
3.67 (2.4,5.7)
0.85 (0.5,1.6)
2.24(1.3,3.8)
4.81 (3.1,7.6)
8.75 (5.7,13.3)
12.36 (8.1,19.0)
15.01 (9.6,23.4)
21.17 (12.6,35.6)
Gulf of Mexico
3.50 (2.2,5.6)
0.85 (0.3,2.3)
2.28(1.1,4.9)
4.70 (2.8,8.0)
8.26 (5.4,12.6)
10.87 (7.3,16.1)
13.08 (8.8,19.5)
18.12 (11.6,28.4)
Great Lakes
2.32 (1.5,3.6)
0.48(0.3,0.8)
1.40 (0.9,2.2)
3.05 (2.0,4.7)
5.43 (3.3,8.9)
7.66 (4.7,12.6)
9.61 (5.8,15.9)
14.15 (7.9,25.5)
Inland Northeast
3.56 (1.8,7.2)
0.61 (0.3,1.1)
2.03 (1.0,4.2)
4.63 (2.4,9.1)
8.63 (4.4,17.1)
12.07 (5.9,24.7)
14.57 (7.3,29.1)
22.85 (8.8,59.5)
Inland Midwest
2.20 (0.9,5.2)
0.41 (0.1,1.1)
1.19 (0.5,3.2)
2.66 (1.2,5.9)
5.37 (2.3,12.6)
7.88(3.2,19.3)
10.22 (3.8,27.3)
15.20 (5.7,40.3)
Inland South
3.09 (1.7,5.6)
0.59 (0.3,1.2)
1.80 (0.8,4.0)
4.06 (2.1,7.8)
7.39 (4.3,12.6)
10.45 (6.1,17.8)
12.86 (7.6,21.8)
18.22 (11.0,30.3)
Inland West
3.90 (1.6,9.4)
0.90 (0.3,3.1)
2.45 (0.8,7.5)
5.17 (2.0,13.3)
9.64(3.8,24.4)
12.68 (5.8,27.7)
15.43 (7.2,33.2)
20.56 (11.2,37.9)
C-98

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Table C-50. Trophic level 3 marine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
3.81 (2.4,5.9)
0.99 (0.5,2.1)
2.40 (1.4,4.2)
4.96 (3.1,7.9)
8.94(5.8,13.9)
12.30 (7.9,19.0)
14.79 (9.7,22.4)
21.07 (13.4,33.1)
VJcMUcl
Female
3.28(2.1,5.1)
0.86 (0.4,1.8)
2.11 (1.1,3.9)
4.31 (2.7,6.9)
7.68(5.1,11.5)
10.47
7.1,15.5)
12.69 (8.5,18.9)
17.89 (11.6,27.5)
Male
A fTQ
4.47 (2.8,7.2)
1.21 (0.6,2.4)
2.87 (1.6,5.1)
5.80 (3.7,9.1)
10.50 (6.5,17.1)
14.38
8.8,23.5)
16.89 (11.0,25.9)
23.40 (14.9,36.9)
Mge
21 to <35 yrs
3.54(1.9,6.6)
0.85 (0.3,2.5)
2.20 (0.9,5.3)
4.60 (2.4,9.0)
8.36 (4.7,15.0)
11.46
6.8,19.3)
13.77 (8.7,21.8)
20.54 (11.7,36.1)
35 to <50 yrs
3.44(2.5,4.8)
0.89 (0.5,1.5)
2.12 (1.4,3.3)
4.42 (3.1,6.3)
7.92 (5.8,10.8)
11.16
8.0,15.6)
13.74 (9.6,19.7)
20.12 (13.4,30.3)
50 to <65 yrs
5.01 (2.5,9.9)
1.56 (0.6,4.3)
3.36 (1.5,7.4)
6.66 (3.2,13.7)
11.54 (5.7,23.3)
15.16
8.0,28.9)
17.97 (9.8,32.9)
23.47 (14.3,38.6)
65+ yrs
3.29 (2.3,4.8)
0.91 (0.5,1.8)
2.14(1.2,3.7)
4.32 (2.8,6.6)
7.56 (5.4,10.7)
10.26
7.3,14.5)
12.37 (8.6,17.7)
17.38 (11.3,26.8)
WCA (13-49 years)
2.68(1.8,3.9)
0.56 (0.3,1.1)
1.61 (0.9,2.9)
3.52 (2.3,5.3)
6.40 (4.6,8.9)
9.16
6.4,13.1)
10.91 (7.7,15.4)
15.15 (10.2,22.6)
1 IllUlllc
<$20,000
3.57 (2.5,5.1)
0.77 (0.4,1.4)
2.04(1.3,3.2)
4.51 (3.1,6.5)
8.57 (6.1,12.1)
11.79
8.2,17.1)
14.22 (9.5,21.2)
22.17 (14.4,34.2)
>$20,000
3.81 (2.4,6.1)
1.03 (0.5,2.2)
2.43 (1.3,4.4)
4.98(3.0,8.2)
8.90 (5.6,14.2)
12.24
7.6,19.6)
14.73 (9.3,23.3)
20.75 (12.8,33.6)
Income unknown
4.86 (2.0,11.6)
1.34(0.3,6.5)
3.26 (0.9,11.5)
6.49 (2.6,16.3)
11.71 (4.8,28.5)
15.37
7.3,32.6)
17.74 (9.4,33.6)
23.53 (13.5,41.2)
Income, finer detail









<$20,000
3.57 (2.5,5.1)
0.77 (0.4,1.4)
2.04(1.3,3.2)
4.51 (3.1,6.5)
8.57 (6.1,12.1)
11.79
8.2,17.1)
14.22 (9.5,21.2)
22.17 (14.4,34.2)
$20k-$45k
3.39 (2.0,5.8)
0.87 (0.4,2.1)
2.16 (1.0,4.6)
4.48 (2.4,8.2)
7.85 (4.9,12.7)
10.89
CT)
CO
13.35 (8.3,21.5)
19.10 (11.3,32.2)
$45k-$75k
4.04(2.2,7.5)
1.01 (0.4,2.3)
2.53 (1.2,5.5)
5.29 (2.7,10.4)
9.74 (4.9,19.2)
13.03
7.3,23.3)
15.86 (9.1,27.8)
22.68 (12.6,40.9)
$75k+
3.99 (2.7,5.8)
1.16 (0.6,2.1)
2.62 (1.7,4.1)
5.21 (3.6,7.6)
9.30 (6.2,14.0)
12.69
8.1,19.8)
14.92 (9.8,22.8)
21.13 (13.1,34.2)
>$20,000
3.77 (1.8,7.9)
1.10 (0.4,2.9)
2.68(1.0,6.9)
5.15 (2.3,11.5)
8.54(4.2,17.3)
10.68
5.6,20.3)
14.06 (6.4,30.8)
19.73 (8.2,47.2)
Inc Ref/DK
4.75 (2.0,11.3)
1.33 (0.3,6.1)
3.29 (0.9,11.8)
6.43 (2.5,16.6)
11.27 (4.8,26.4)
13.76
7.7,24.6)
16.04 (9.3,27.7)
21.43 (11.2,41.1)
Inc missing
5.10 (1.4,19.2)
1.36 (0.2,10.3)
3.04(0.7,14.0)
6.78(1.6,28.1)
14.09 (2.8,70.2)
17.74
4.4,71.1)
19.24 (6.3,58.9)
24.71 (8.4,72.3)
Race/Ethnicity









Mexican American
3.41 (2.1,5.5)
0.88(0.4,1.8)
2.28(1.1,4.6)
4.62 (2.7,8.1)
7.79 (5.1,11.8)
10.59
7.0,16.1)
12.79 (8.4,19.5)
17.17 (10.7,27.6)
Other Hispanic
2.75 (1.8,4.3)
0.80 (0.4,1.7)
1.95 (1.0,3.7)
3.73 (2.3,6.0)
6.05 (3.8,9.6)
7.97
4.7,13.4)
10.12 (6.2,16.4)
13.47 (7.5,24.1)
White
3.40 (2.2,5.3)
0.90 (0.4,1.9)
2.18(1.2,3.9)
4.46 (2.8,7.1)
7.88(5.2,11.9)
10.93
7.0,17.0)
13.07 (8.5,20.0)
18.04 (11.7,27.7)
Black
4.23 (2.9,6.1)
1.31 (0.7,2.5)
2.95 (1.8,4.7)
5.66 (3.9,8.2)
9.43 (6.6,13.5)
12.40
8.4,18.4)
14.99 (9.8,23.0)
20.87 (12.9,33.9)
Other race
8.97 (4.7,17.3)
3.35 (1.3,8.6)
7.04(3.0,16.4)
12.12 (6.3,23.3)
19.19 (10.2,36.2)
23.47 (13.6,40.4)
27.95 (15.6,49.9)
35.78 (20.1,63.8)
C-99

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Table C-50. Trophic level 3 marine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
2.67 (1.5,4.8)
0.68(0.3,1.6)
1.59
0.8,3.1)
3.32 (1.9,5.7)
6.13 (3.6,10.4)
9.03 (4.8,17.1)
11.22 (5.8,21.9)
16.34 (8.1,32.8)
Northeast
4.44 (2.6,7.5)
1.14(0.6,2.1)
2.85
1.6,4.9)
5.87 (3.5,9.9)
10.31 (6.1,17.5)
14.12 (8.1,24.5)
16.75 (9.8,28.5)
25.67 (11.7,56.4)
South
3.91 (2.6,5.9)
1.09 (0.5,2.2)
2.58
1.5,4.5)
5.13 (3.3,7.9)
8.94(6.1,13.1)
12.23 (8.2,18.2)
14.73 (9.9,22.0)
20.87 (13.1,33.3)
West
4.44 (2.7,7.4)
1.29 (0.6,3.0)
2.98
1.5,6.0)
5.83 (3.4,10.0)
10.29 (6.2,17.1)
13.72 (8.7,21.7)
16.36 (10.6,25.3)
22.21 (14.6,33.8)
Coastal Status









Noncoastal
3.64(1.9,6.9)
0.89 (0.4,2.1)
2.24
1.1,4.7)
4.75 (2.4,9.4)
8.66 (4.5,16.6)
12.02 (6.3,23.0)
14.46 (7.9,26.5)
20.81 (11.3,38.3)
Coastal
4.06 (3.0,5.6)
1.16 (0.7,1.9)
2.67
1.8,3.9)
5.31 (3.9,7.3)
9.34 (6.8,12.8)
12.78 (9.0,18.2)
15.49 (10.6,22.7)
21.43 (13.6,33.8)
Coastal/Inland Region









Pacific
4.16 (2.9,5.9)
1.16 (0.7,2.0)
2.66
1.7,4.1)
5.45 (3.8,7.9)
9.70 (6.8,13.8)
13.40 (9.2,19.4)
16.04 (10.7,24.1)
22.32 (14.2,35.2)
Atlantic
4.35 (2.8,6.7)
1.28(0.7,2.3)
2.87
1.7,4.8)
5.62 (3.6,8.9)
9.88(6.5,15.1)
13.60 (8.8,21.1)
16.49 (10.5,26.0)
22.95 (13.3,39.7)
Gulf of Mexico
4.28(2.7,6.8)
1.39 (0.5,3.8)
2.95
1.6,5.6)
5.79 (3.4,9.8)
9.43 (6.2,14.3)
12.28 (8.3,18.3)
14.63 (9.7,22.0)
20.87 (11.9,36.5)
Great Lakes
2.78(1.7,4.4)
0.79 (0.4,1.4)
1.84
1.1,3.0)
3.61 (2.2,5.9)
6.07 (3.5,10.6)
8.48 (4.9,14.6)
10.59 (6.3,17.9)
14.99 (8.1,27.7)
Inland Northeast
4.24(2.1,8.7)
0.96 (0.5,1.8)
2.61
1.4,5.0)
5.50 (2.8,10.7)
9.98(4.8,20.9)
13.70 (6.3,29.9)
16.00 (7.8,32.8)
25.71 (8.8,74.8)
Inland Midwest
2.65 (1.1,6.1)
0.66 (0.2,1.9)
1.55
0.7,3.6)
3.24(1.5,7.0)
6.13 (2.8,13.6)
9.21 (3.5,24.3)
11.48 (4.3,30.7)
16.70 (6.2,44.9)
Inland South
3.74(2.1,6.8)
0.97 (0.4,2.3)
2.41
1.1,5.2)
4.93 (2.6,9.4)
8.55 (5.0,14.7)
11.84 (6.9,20.4)
14.53 (8.2,25.7)
20.24 (11.7,35.0)
Inland West
4.73 (1.9,11.7)
1.47 (0.4,5.4)
3.31 (1.0,10.5)
6.31 (2.4,16.5)
10.73 (4.5,25.5)
14.22 (6.4,31.4)
16.85 (8.0,35.5)
21.68 (12.0,39.1)
C-100

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Table C-51. Trophic level 3 marine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
^onHoi'
1.63 (1.0,2.7)
0.26 (0.1,0.6)
0.77 (0.4,1.6)
1.97 (1.1,3.5)
4.14(2.4,7.1)
6.05 (3.8,9.7)
7.74 (4.8,12.4)
11.83 (7.5,18.7)
VJcMUcl
Female
1.40 (0.8,2.4)
0.23
0.1,0.5)
0.67
0.3,1.5)
1.74(0.9,3.3)
3.56 (2.1,6.1)
5.12 (3.2,8.1)
6.41 (4.2,9.9)
9.70 (6.2,15.1)
Male
A fTQ
1.87 (1.1,3.2)
0.31
0.1,0.7)
0.89
0.5,1.7)
2.28(1.2,4.2)
4.76 (2.7,8.5)
7.03 (4.1,12.1)
8.85 (5.3,14.7)
13.25 (8.4,21.0)
Mge
1 to <3 yrs
1.01 (0.6,1.7)
0.17
0.1,0.4)
0.50
0.2,1.1)
1.24(0.7,2.3)
2.55 (1.5,4.4)
3.66 (2.2,6.0)
4.54(2.8,7.3)
6.64 (4.0,11.1)
3 to <6 yrs
1.33 (0.6,2.9)
0.24
0.1,0.8)
0.68
0.2,2.1)
1.68(0.7,4.2)
3.37 (1.5,7.6)
4.76 (2.4,9.6)
6.12 (3.0,12.5)
9.15 (4.7,17.9)
6 to <11 yrs
2.16 (0.8,5.6)
0.37
0.1,1.2)
1.07
0.3,3.4)
2.77 (0.9,8.4)
5.50 (2.1,14.6)
7.75 (3.3,18.3)
9.54(4.4,20.9)
14.29 (6.9,29.7)
11 to <16 yrs
1.48 (0.9,2.6)
0.25
0.1,0.5)
0.70
0.4,1.3)
1.81 (1.0,3.2)
3.58(2.1,6.1)
5.48(3.1,9.6)
6.87 (4.0,11.8)
10.84 (5.8,20.2)
16 to <18 yrs
1.46 (0.8,2.6)
0.24
0.1,0.5)
0.72
0.4,1.5)
1.81 (1.0,3.4)
3.83 (2.0,7.4)
5.35 (3.0,9.5)
6.30 (3.7,10.8)
9.95 (5.5,18.0)
18 to <21 yrs
1 nrnmo
2.03 (1.2,3.4)
0.30
0.1,0.7)
0.94
0.5,1.8)
2.54(1.4,4.5)
5.23 (3.0,9.0)
7.49 (4.4,12.8)
9.81 (5.7,16.8)
14.88 (8.6,25.9)
1 IllUIIlC
<$20,000
1.78(1.2,2.7)
0.29
0.2,0.5)
0.82
0.5,1.3)
2.14(1.4,3.3)
4.54(3.0,6.8)
6.63 (4.3,10.3)
8.32 (5.2,13.4)
12.99 (8.0,21.0)
>$20,000
1.56 (0.9,2.9)
0.25
0.1,0.6)
0.74
0.3,1.6)
1.90 (1.0,3.7)
3.96 (2.1,7.4)
5.82 (3.3,10.4)
7.34(4.2,12.7)
11.22 (6.5,19.3)
Income unknown
2.39 (0.8,6.7)
0.43
0.1,1.6)
1.30
0.3,5.5)
3.42 (0.7,15.8)
5.84(2.1,16.2)
7.93 (3.4,18.4)
9.22 (4.4,19.4)
13.66 (6.1,30.5)
Income, finer detail










<$20,000
1.78(1.2,2.7)
0.29
0.2,0.5)
0.82
0.5,1.3)
2.14(1.4,3.3)
4.54(3.0,6.8)
6.63 (4.3,10.3)
8.32 (5.2,13.4)
12.99 (8.0,21.0)
$20k-$45k
1.56 (0.8,3.1)
0.26
0.1,0.7)
0.76
0.3,1.9)
1.92 (0.9,4.3)
3.84(2.0,7.4)
5.83 (2.9,11.6)
7.21 (4.0,13.1)
11.27 (5.9,21.5)
$45k-$75k
1.54(0.9,2.8)
0.25
0.1,0.6)
0.72
0.3,1.7)
1.86 (1.0,3.6)
3.93 (2.2,7.1)
5.77 (3.4,9.8)
7.65 (4.1,14.1)
10.87 (6.9,17.2)
$75k+
1.55 (0.9,2.8)
0.24
0.1,0.5)
0.72
0.4,1.4)
1.88(1.0,3.5)
3.98(2.1,7.6)
5.74(3.2,10.2)
7.27 (4.1,12.8)
11.86 (5.6,24.9)
>$20,000
2.15 (0.7,7.1)
0.41
0.1,1.8)
1.31
0.2,7.1)
2.69 (0.8,9.1)
5.05 (1.6,15.5)
6.44(2.5,16.4)
9.06 (2.8,29.2)
15.94 (3.6,71.0)
Inc Ref/DK
2.62 (0.5,12.5)
0.46
0.1,2.0)
1.41
0.2,8.4)
3.60 (0.5,23.8)
6.34(1.3,30.4)
9.05 (2.0,40.2)
10.53 (3.0,37.4)
19.90 (2.9,136.4)
Inc missing
2.08(0.6,6.8)
0.35
0.1,1.6)
1.12
0.2,5.1)
3.14(0.7,15.1)
5.23 (1.4,19.1)
6.67 (2.0,22.8)
7.79 (2.1,29.0)
11.84 (2.8,50.4)
Race/Ethnicity










Mexican American
1.53 (0.9,2.6)
0.28
0.1,0.6)
0.75
0.4,1.4)
1.88(1.1,3.3)
3.83 (2.2,6.7)
5.51 (3.3,9.2)
6.89 (4.3,11.1)
10.78 (6.4,18.1)
Other Hispanic
1.20 (0.7,2.1)
0.19
0.1,0.4)
0.56
0.3,1.1)
1.57 (0.8,3.3)
3.21 (1.6,6.3)
4.58(2.4,8.7)
5.63 (3.2,9.9)
7.42 (4.6,12.1)
White
1.34(0.8,2.3)
0.22
0.1,0.5)
0.64
0.3,1.4)
1.67 (0.8,3.3)
3.43 (1.9,6.2)
4.88(3.0,7.9)
6.15 (3.9,9.6)
9.52 (5.9,15.4)
Black
1.86 (1.3,2.8)
0.41
0.2,0.8)
1.09
0.6,1.8)
2.45 (1.6,3.7)
4.45 (3.0,6.6)
6.18(4.0,9.6)
7.80 (5.0,12.1)
10.93 (6.5,18.5)
Other race
4.09 (1.9,8.9)
0.85
0.3,2.6)
2.48
0.9,6.6)
5.92 (2.1,16.5)
9.70 (4.8,19.5)
12.99 (6.9,24.4)
15.32 (8.4,27.8)
20.55 (11.8,35.9)
C-101

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Table C-51. Trophic level 3 marine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.10 (0.6,1.9)
0.17 (0.1,0.4)
0.49 (0.2,1.0)
1.30 (0.7,2.5)
2.63 (1.6,4.4)
4.13 (2.4,7.1)
5.42 (3.1,9.4)
8.79 (4.9,15.7)
Northeast
1.86 (1.1,3.3)
0.33 (0.1,0.8)
0.92 (0.5,1.8)
2.30 (1.3,4.2)
4.68(2.6,8.4)
6.62 (3.9,11.2)
7.99 (4.9,13.0)
11.74 (7.0,19.8)
South
1.56 (1.0,2.4)
0.29 (0.1,0.6)
0.82 (0.4,1.6)
1.98(1.2,3.3)
3.90 (2.5,6.1)
5.47 (3.6,8.3)
6.78(4.4,10.5)
10.06 (6.2,16.4)
West
2.09 (1.0,4.2)
0.33 (0.1,0.8)
0.99 (0.4,2.4)
2.66 (1.1,6.5)
5.39 (2.5,11.7)
7.87 (3.9,15.9)
9.93 (5.1,19.3)
14.29 (8.4,24.4)
Coastal Status








Noncoastal
1.54(0.8,3.1)
0.25 (0.1,0.6)
0.71 (0.3,1.7)
1.85 (0.9,4.0)
3.93 (1.9,8.3)
5.76 (3.0,11.2)
7.36 (3.9,14.0)
11.31 (6.1,20.9)
Coastal
1.77 (1.2,2.5)
0.30 (0.2,0.5)
0.87 (0.5,1.4)
2.18(1.5,3.2)
4.50 (3.1,6.5)
6.48 (4.5,9.4)
8.05 (5.5,11.9)
12.58 (8.2,19.2)
Coastal/Inland Region








Pacific
1.93 (1.3,2.9)
0.27 (0.1,0.5)
0.82 (0.5,1.4)
2.35 (1.5,3.8)
5.24(3.2,8.7)
7.62 (4.7,12.3)
9.81 (5.9,16.4)
13.28 (7.7,23.0)
Atlantic
1.84(1.1,3.0)
0.34(0.2,0.6)
0.97 (0.5,1.7)
2.28 (1.4,3.8)
4.54(2.8,7.3)
6.38(3.8,10.7)
7.97 (4.6,13.7)
12.58 (7.2,21.9)
Gulf of Mexico
1.78(1.0,3.2)
0.37 (0.1,0.9)
1.06 (0.4,2.6)
2.49 (1.1,5.4)
4.45 (2.4,8.1)
5.67 (3.0,10.6)
6.67 (3.3,13.3)
9.16 (3.5,23.9)
Great Lakes
1.29 (0.7,2.3)
0.21 (0.1,0.4)
0.60 (0.3,1.1)
1.46 (0.8,2.7)
3.17 (1.8,5.6)
5.07 (3.0,8.6)
6.73 (3.8,11.8)
9.32 (4.1,21.1)
Inland Northeast
1.74(0.9,3.4)
0.31 (0.1,0.8)
0.81 (0.4,1.6)
2.15 (1.1,4.2)
4.53 (2.2,9.2)
6.23 (3.3,11.9)
7.79 (4.0,15.3)
11.61 (5.8,23.1)
Inland Midwest
1.04(0.4,2.5)
0.16 (0.1,0.4)
0.47 (0.2,1.2)
1.26 (0.5,3.2)
2.48(1.2,5.3)
3.89 (1.7,9.1)
5.06 (2.1,12.1)
8.29 (3.2,21.5)
Inland South
1.44(0.8,2.5)
0.26 (0.1,0.5)
0.70 (0.4,1.4)
1.82 (1.0,3.5)
3.65 (2.0,6.6)
5.12 (3.1,8.5)
6.55 (3.8,11.3)
9.72 (5.6,17.0)
Inland West
2.23 (0.7,7.0)
0.39 (0.1,1.5)
1.13 (0.3,4.5)
2.90 (0.8,11.2)
5.50 (1.8,17.1)
8.13 (2.7,24.1)
9.93 (3.7,26.6)
14.99 (5.9,38.4)
C-102

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Table C-52. Trophic level 4 marine fish usual fish consumption rate estimates, all ages
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
5.84 (4.4,7.7)
1.07 (0.6,1.9)
3.31 (2.2,5.0)
7.61 (5.6,10.3)
14.38 (10.9,19.0)
20.21 (15.3,26.8)
24.88 (18.7,33.0)
35.99 (26.5,48.9)
VJCllUCl
Female
5.61 (4.2,7.5)
1.02
0.6,1.8)
3.18(2.1,4.8)
7.36 (5.3,10.1)
13.82 (10.4,18.4)
19.17 (14.4,25.6)
23.61 (17.6,31.7)
34.12 (24.8,47.0)
Male
A np
6.13 (4.6,8.2)
1.14
0.6,2.1)
3.50 (2.3,5.4)
7.93 (5.7,11.0)
15.15 (11.2,20.5)
21.24 (15.6,28.9)
26.31 (19.4,35.7)
37.98 (27.5,52.4)
age
1 to <3 yrs
1.52 (0.9,2.6)
0.22
0.1,0.5)
0.71 (0.4,1.4)
1.86 (1.1,3.2)
3.79 (2.3,6.2)
5.79 (3.3,10.1)
7.39 (4.2,12.9)
11.83 (6.1,23.0)
3 to <6 yrs
2.12 (1.2,3.9)
0.31
0.1,0.7)
1.07 (0.5,2.5)
2.71 (1.4,5.4)
5.34(3.0,9.6)
7.68(4.4,13.3)
9.35 (5.8,15.2)
14.08 (8.7,22.8)
6 to <11 yrs
3.21 (1.6,6.3)
0.53
0.2,1.5)
1.54(0.7,3.4)
4.10 (2.0,8.6)
8.27 (4.1,16.6)
11.53 (6.2,21.5)
14.17 (7.7,25.9)
21.93 (11.1,43.3)
11 to <16 yrs
2.56 (1.3,4.9)
0.40
0.2,0.9)
1.19 (0.6,2.5)
3.09 (1.6,5.9)
6.48(3.3,12.6)
9.83 (4.8,20.0)
12.41 (6.1,25.1)
18.65 (9.3,37.3)
16 to <18 yrs
3.65 (2.1,6.5)
0.51
0.3,1.0)
1.78(0.8,3.9)
4.81 (2.3,10.0)
9.51 (5.1,17.8)
13.90 (7.5,25.6)
17.52 (9.3,33.1)
22.40 (13.5,37.2)
18 to <21 yrs
6.01 (3.3,11.0)
0.89
0.4,1.9)
3.08(1.4,6.6)
7.54(4.1,13.9)
15.84 (8.1,30.9)
21.18
12.0,37.5)
25.68
14.9,44.2)
39.14 (22.0,69.6)
21 to <35 yrs
5.88 (4.3,8.1)
1.24
0.7,2.3)
3.54(2.2,5.7)
7.76 (5.4,11.2)
14.09 (10.2,19.5)
19.40
13.9,27.0)
23.98
17.2,33.5)
35.16 (24.0,51.4)
35 to <50 yrs
6.41 (4.8,8.5)
1.66
1.1,2.6)
4.14(2.9,5.9)
8.43 (6.3,11.3)
14.97 (11.0,20.4)
20.68
15.3,27.9)
25.12
18.3,34.4)
35.77 (25.4,50.3)
50 to <65 yrs
9.31 (6.2,13.9)
2.86
1.4,5.8)
6.29 (3.8,10.5)
12.33 (8.2,18.6)
20.99 (14.6,30.1)
28.40
19.8,40.7)
33.54
23.7,47.5)
49.11 (31.0,77.8)
65+ yrs
1 nrniYto
6.37 (4.1,10.0)
1.65
0.9,2.9)
4.00 (2.3,6.9)
8.30 (5.1,13.6)
15.10 (9.9,23.1)
20.41
13.0,31.9)
25.47
17.2,37.7)
35.53 (23.6,53.4)
1 IllUlllc
<$20,000
4.30 (3.2,5.8)
0.71
0.4,1.3)
2.26 (1.4,3.5)
5.48(3.9,7.7)
10.80 (8.0,14.6)
15.36
11.2,21.1)
18.90
13.4,26.7)
28.08 (19.5,40.5)
>$20,000
6.13 (4.6,8.1)
1.18
0.7,2.1)
3.55 (2.4,5.3)
8.00 (5.9,10.9)
15.07 (11.4,20.0)
20.98
15.8,27.9)
25.89
19.5,34.4)
36.95 (27.1,50.3)
Income unknown
6.28(3.4,11.7)
1.23
0.4,4.3)
3.63 (1.4,9.5)
8.11 (4.0,16.4)
15.16 (8.6,26.7)
20.46
12.7,33.1)
25.27
15.5,41.2)
42.33 (21.3,83.9)
Income, finer detail











<$20,000
4.30 (3.2,5.8)
0.71
0.4,1.3)
2.26 (1.4,3.5)
5.48(3.9,7.7)
10.80 (8.0,14.6)
15.36
11.2,21.1)
18.90
13.4,26.7)
28.08 (19.5,40.5)
$20k-$45k
4.97 (3.6,6.8)
0.93
0.5,1.7)
2.76 (1.8,4.1)
6.44 (4.6,9.0)
12.05 (8.6,16.9)
17.22
12.1,24.5)
20.95
14.4,30.5)
31.52 (21.9,45.4)
$45k-$75k
5.70 (4.0,8.1)
1.06
0.6,1.8)
3.17 (2.1,4.8)
7.34(5.0,10.7)
14.02 (9.8,20.2)
20.11
14.0,28.8)
24.98
17.5,35.8)
36.18 (24.7,52.9)
$75k+
7.34(5.4,9.9)
1.61
0.8,3.1)
4.60 (2.9,7.4)
9.75 (7.1,13.5)
17.65 (13.3,23.4)
24.01
18.4,31.3)
28.96
22.0,38.2)
41.16 (30.6,55.3)
>$20,000
6.52 (3.9,10.8)
1.56
0.6,4.1)
4.27 (1.9,9.4)
8.38(5.0,14.1)
15.43 (9.4,25.3)
20.31
12.4,33.3)
26.14
15.8,43.3)
38.46 (21.6,68.6)
Inc Ref/DK
6.00 (2.8,12.7)
1.26
0.3,5.0)
3.62 (1.3,10.3)
7.74(3.6,16.6)
15.06 (6.8,33.3)
19.24
10.8,34.4)
22.36
13.5,36.9)
35.36 (17.2,72.6)
Inc missing
6.81 (3.2,14.6)
1.17
0.3,4.6)
3.69 (1.2,11.5)
8.54(3.7,20.0)
15.83 (7.7,32.8)
21.93
10.2,47.3)
28.67
14.5,56.7)
63.32 (15.2,263.7)
Race/Ethnicity











Mexican American
4.61 (3.1,7.0)
0.72
0.4,1.4)
2.35 (1.4,4.1)
5.79 (3.7,9.0)
11.68 (7.5,18.2)
16.86
11.1,25.5)
21.40
14.1,32.6)
31.45 (20.9,47.3)
Other Hispanic
4.43 (2.9,6.9)
0.76
0.4,1.6)
2.45 (1.4,4.1)
5.66 (3.5,9.2)
10.84 (6.6,17.9)
15.83
10.0,25.1)
19.24
11.8,31.3)
27.54 (16.3,46.5)
White
6.11 (4.5,8.2)
1.16
0.6,2.1)
3.53 (2.3,5.4)
7.99 (5.8,11.0)
15.06 (11.2,20.2)
20.87
15.5,28.2)
25.63
18.9,34.7)
37.00 (26.8,51.0)
Black
4.85 (3.6,6.6)
0.98
0.5,1.8)
2.81 (1.8,4.4)
6.30 (4.5,8.9)
11.61 (8.5,15.8)
16.27
11.9,22.2)
20.70
15.3,28.0)
30.82 (22.6,42.1)
Other race
8.05 (6.0,10.9)
1.78
1.0,3.0)
5.33 (3.4,8.3)
10.86 (7.7,15.3)
19.21 (14.1,26.2)
25.55
18.8,34.8)
30.40
21.8,42.4)
41.16 (27.2,62.4)
C-103

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Table C-52. Trophic level 4 marine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
4.38 (3.0,6.3)
0.81 (0.4,1.7)
2.49 (1.4,4.3)
5.73 (3.7,8.8)
10.58 (7.4,15.2)
15.49 (10.9,22.0)
18.57 (12.9,26.7)
26.50 (17.8,39.4)
Northeast
7.58 (5.5,10.5)
1.44(0.8,2.5)
4.50 (3.0,6.8)
10.21 (7.2,14.5)
18.36 (13.1,25.8)
25.60 (18.3,35.8)
30.78 (21.8,43.5)
44.96 (31.0,65.2)
South
5.23 (4.0,6.8)
0.97 (0.6,1.7)
2.95 (2.0,4.4)
6.84(5.0,9.3)
12.65 (9.6,16.7)
17.97 (13.6,23.7)
22.34 (16.9,29.6)
32.35 (24.1,43.4)
West
7.10 (5.1,10.0)
1.48(0.8,2.8)
4.37 (2.7,7.0)
9.46 (6.6,13.5)
16.88 (12.1,23.5)
23.05 (16.6,32.1)
28.67 (20.6,39.9)
40.28 (28.1,57.7)
Coastal Status








Noncoastal
5.82 (4.0,8.4)
1.04(0.5,2.1)
3.26 (1.9,5.6)
7.53 (5.1,11.2)
14.37 (10.1,20.4)
20.21 (14.4,28.3)
25.13 (17.7,35.6)
36.34 (25.2,52.3)
Coastal
5.88 (4.2,8.2)
1.12 (0.7,1.9)
3.41 (2.3,5.1)
7.75 (5.4,11.0)
14.42 (10.2,20.4)
20.22 (14.3,28.6)
24.58 (17.2,35.2)
35.13 (24.4,50.6)
Coastal/Inland Region








Pacific
6.15 (4.3,8.9)
1.13 (0.6,2.0)
3.57 (2.2,5.8)
8.17 (5.5,12.2)
15.16 (10.5,21.8)
20.80 (14.2,30.5)
25.45 (17.7,36.7)
37.10 (27.1,50.8)
Atlantic
6.51 (4.0,10.5)
1.41 (0.8,2.6)
3.90 (2.3,6.7)
8.64(5.3,14.1)
15.87 (9.9,25.4)
22.06 (13.9,34.9)
26.49 (16.5,42.6)
37.52 (23.1,61.0)
Gulf of Mexico
5.01 (3.0,8.4)
0.96 (0.5,1.9)
2.76 (1.6,4.6)
6.50 (3.8,11.1)
12.20 (7.3,20.4)
16.69 (10.4,26.7)
20.61 (12.7,33.5)
28.63 (18.0,45.5)
Great Lakes
4.42 (2.6,7.6)
0.80 (0.4,1.5)
2.61 (1.5,4.5)
5.85 (3.4,10.1)
10.45 (5.4,20.1)
15.29 (8.7,26.9)
18.73 (10.5,33.4)
25.56 (12.4,52.9)
Inland Northeast
7.98(5.0,12.7)
1.31 (0.6,2.7)
4.60 (2.6,8.1)
10.84 (6.6,17.8)
19.89 (12.6,31.4)
27.59 (17.4,43.7)
33.63 (21.2,53.4)
49.04 (27.7,86.7)
Inland Midwest
4.37 (2.7,7.1)
0.82 (0.3,2.0)
2.47 (1.3,4.7)
5.69 (3.3,10.0)
10.58 (6.8,16.6)
15.54 (9.6,25.2)
18.55 (12.0,28.7)
26.56 (17.2,40.9)
Inland South
4.91 (3.5,7.0)
0.87 (0.5,1.7)
2.76 (1.7,4.6)
6.43 (4.3,9.6)
12.00 (8.6,16.8)
16.82 (12.2,23.3)
21.10 (15.0,29.6)
30.07 (21.5,42.1)
Inland West
8.04 (4.5,14.5)
1.96 (0.6,6.7)
5.30 (2.3,12.4)
10.68 (6.0,19.1)
18.42 (11.2,30.3)
26.30 (15.1,45.7)
31.89 (18.7,54.3)
43.36 (26.2,71.7)
C-104

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Table C-53. Trophic level 4 marine fish usual fish consumption rate estimates, adults >21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
6.92 (5.3,9.1)
1.72 (1.1,2.8)
4.36 (3.0,6.2)
9.10 (6.8,12.2)
16.18 (12.2,21.5)
22.23 (16.7,29.7)
27.42 (20.6,36.4)
38.50 (28.2,52.6)
VJcMUcl
Female
6.60 (5.0,8.8)
1.61
1.0,2.6)
4.17 (2.9,6.1)
8.74(6.5,11.8)
15.52 (11.7,20.6)
21.39
15.9,28.7)
26.14
19.3,35.3)
36.56 (26.2,50.9)
Male
A np
7.32 (5.4,10.0)
1.86
1.1,3.1)
4.64(3.2,6.8)
9.57 (6.8,13.4)
16.97 (12.1,23.8)
23.59
17.1,32.5)
29.29
21.5,39.9)
40.78 (29.0,57.4)
age
21 to <35 yrs
5.88 (4.3,8.1)
1.24
0.7,2.3)
3.54(2.2,5.7)
7.76 (5.4,11.2)
14.09 (10.2,19.5)
19.40
13.9,27.0)
23.98
17.2,33.5)
35.16 (24.0,51.4)
35 to <50 yrs
6.41 (4.8,8.5)
1.66
1.1,2.6)
4.14(2.9,5.9)
8.43 (6.3,11.3)
14.97 (11.0,20.4)
20.68
15.3,27.9)
25.12
18.3,34.4)
35.77 (25.4,50.3)
50 to <65 yrs
9.31 (6.2,13.9)
2.86
1.4,5.8)
6.29 (3.8,10.5)
12.33 (8.2,18.6)
20.99 (14.6,30.1)
28.40
19.8,40.7)
33.54
23.7,47.5)
49.11 (31.0,77.8)
65+ yrs
6.37 (4.1,10.0)
1.65
0.9,2.9)
4.00 (2.3,6.9)
8.30 (5.1,13.6)
15.10 (9.9,23.1)
20.41
13.0,31.9)
25.47
17.2,37.7)
35.53 (23.6,53.4)
WCA (13-49 years)
5.44 (4.1,7.2)
1.06
0.6,1.8)
3.22 (2.1,4.8)
7.28(5.3,10.0)
13.13 (10.0,17.3)
18.01
13.5,24.0)
22.07
16.4,29.7)
31.85 (22.7,44.7)
1 IllUlllc
<$20,000
5.06 (3.7,6.9)
1.01
0.6,1.8)
2.93 (1.9,4.5)
6.62 (4.8,9.2)
12.29 (9.0,16.7)
17.23
12.5,23.7)
21.26
15.2,29.7)
31.10 (21.5,44.9)
>$20,000
7.25 (5.5,9.5)
1.89
1.2,3.0)
4.67 (3.3,6.7)
9.51 (7.1,12.8)
16.78 (12.6,22.4)
23.09
17.3,30.8)
28.37
21.2,37.9)
39.36 (28.7,54.0)
Income unknown
7.24(3.9,13.3)
1.71
0.6,5.3)
4.49 (2.0,10.2)
9.28(4.9,17.4)
16.60 (9.7,28.3)
21.89
13.6,35.2)
28.04
16.6,47.5)
49.04 (18.7,128.8)
Income, finer detail











<$20,000
5.06 (3.7,6.9)
1.01
0.6,1.8)
2.93 (1.9,4.5)
6.62 (4.8,9.2)
12.29 (9.0,16.7)
17.23
12.5,23.7)
21.26
15.2,29.7)
31.10 (21.5,44.9)
$20k-$45k
5.80 (4.2,8.0)
1.39
0.9,2.3)
3.65 (2.5,5.3)
7.56 (5.4,10.6)
13.70 (9.8,19.2)
18.42
12.4,27.3)
22.70
15.4,33.5)
33.88 (23.5,48.8)
$45k-$75k
6.71 (4.7,9.5)
1.67
1.0,2.7)
4.14(2.8,6.2)
8.76 (6.0,12.7)
15.70 (10.9,22.7)
21.88
15.1,31.6)
27.22
19.1,38.9)
37.98 (25.6,56.3)
$75k+
8.82 (6.7,11.7)
2.69
1.6,4.6)
6.08 (4.1,9.1)
11.59 (8.6,15.6)
20.08 (15.3,26.3)
26.86
20.5,35.3)
31.75
23.8,42.4)
44.86 (33.0,61.1)
>$20,000
7.30 (4.6,11.7)
2.17
1.0,4.9)
5.00 (2.8,9.0)
9.33 (5.6,15.6)
16.44 (10.1,26.7)
21.97
13.1,36.9)
29.01
17.3,48.6)
38.75 (21.9,68.4)
Inc Ref/DK
6.68(3.5,12.9)
1.66
0.5,5.2)
4.29 (1.8,10.2)
8.70 (4.4,17.1)
15.31 (8.6,27.1)
20.58
12.0,35.3)
25.27
14.6,43.6)
42.38 (15.6,114.9)
Inc missing
8.48(3.7,19.6)
1.83
0.4,8.1)
5.10 (1.6,16.3)
10.60 (4.4,25.4)
18.46 (8.7,39.2)
28.04
13.0,60.3)
35.71
16.5,77.4)
68.66 (13.9,339.5)
Race/Ethnicity











Mexican American
5.78(3.9,8.5)
1.24
0.6,2.4)
3.38(2.1,5.4)
7.40 (5.0,11.0)
14.01 (9.3,21.2)
19.72
13.2,29.4)
24.55
16.1,37.5)
34.41 (23.6,50.2)
Other Hispanic
5.54(3.5,8.7)
1.39
0.7,2.6)
3.43 (2.0,5.8)
7.20 (4.3,12.0)
12.98 (7.9,21.4)
18.20
11.4,29.1)
21.51
12.7,36.4)
33.58 (22.5,50.2)
White
7.09 (5.3,9.5)
1.79
1.1,3.0)
4.50 (3.1,6.5)
9.35 (6.9,12.7)
16.50 (12.2,22.3)
22.65
16.7,30.7)
28.04
20.7,37.9)
38.98 (28.1,54.1)
Black
5.91 (4.4,8.0)
1.52
0.9,2.7)
3.73 (2.5,5.6)
7.77 (5.5,10.9)
13.41 (9.7,18.5)
19.10
14.2,25.6)
23.74
17.5,32.1)
33.83 (24.3,47.1)
Other race
9.62 (7.0,13.2)
3.04
1.8,5.1)
6.86 (4.6,10.2)
12.87 (8.9,18.7)
21.44 (15.3,30.0)
27.52
18.7,40.4)
34.12
23.9,48.8)
44.54 (29.0,68.4)
C-105

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Table C-53. Trophic level 4 marine fish usual fish consumption rate estimates, adults >21 years (continued)





Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
5.19 (3.6,7.5)
1.31 (0.7,2.4)
3.31 (2.0,5.3)
6.84 (4.6,10.2)
11.92 (8.3,17.2)
16.78 (11.7,24.1)
20.01 (13.6,29.5)
28.75 (19.5,42.5)
Northeast
8.91 (6.5,12.3)
2.21 (1.3,3.7)
5.72 (3.8,8.5)
12.07 (8.7,16.8)
21.11 (15.3,29.1)
28.71 (20.7,39.8)
33.93 (24.2,47.6)
49.04 (33.4,71.9)
South
6.26 (4.8,8.2)
1.57 (1.0,2.6)
3.92 (2.8,5.6)
8.20 (6.1,11.0)
14.50 (10.9,19.2)
20.36 (15.4,26.9)
24.64 (18.6,32.5)
35.19 (25.8,48.0)
West
8.39 (6.0,11.7)
2.40 (1.4,4.2)
5.75 (3.7,8.9)
11.11 (7.9,15.7)
19.02 (13.8,26.3)
26.41 (18.8,37.2)
31.71 (22.3,45.1)
42.98 (29.8,61.9)
Coastal Status








Noncoastal
6.88 (4.9,9.6)
1.66 (0.9,3.0)
4.28(2.7,6.7)
9.02 (6.3,12.9)
16.10 (11.6,22.3)
22.22 (16.0,30.9)
27.89 (19.6,39.6)
38.50 (27.0,54.8)
Coastal
6.99 (4.9,10.0)
1.83 (1.1,3.1)
4.49 (2.9,6.8)
9.23 (6.3,13.4)
16.30 (11.3,23.4)
22.31 (15.5,32.0)
26.93 (18.7,38.8)
38.46 (27.2,54.4)
Coastal/Inland Region








Pacific
7.29 (5.2,10.3)
1.82 (1.0,3.2)
4.66 (3.0,7.3)
9.65 (6.6,14.2)
17.09 (12.2,24.0)
22.83 (15.7,33.1)
27.93 (19.9,39.3)
41.12 (30.0,56.3)
Atlantic
7.66 (4.6,12.6)
2.12 (1.1,4.2)
4.96 (2.7,9.0)
10.19 (6.1,17.0)
17.73 (10.8,29.1)
23.96 (14.7,39.0)
29.46 (18.5,46.8)
40.34 (24.6,66.1)
Gulf of Mexico
5.93 (3.7,9.6)
1.47 (0.8,2.6)
3.67 (2.3,5.9)
7.90 (4.7,13.4)
13.58 (8.4,22.0)
17.80 (11.3,28.1)
22.38 (13.8,36.4)
34.69 (17.7,67.9)
Great Lakes
5.39 (3.0,9.6)
1.40 (0.7,3.0)
3.64(2.1,6.4)
7.08(3.9,12.9)
12.02 (6.0,24.0)
16.89 (9.0,31.8)
21.25 (12.6,35.7)
28.54 (15.1,54.1)
Inland Northeast
9.33 (6.0,14.4)
1.99 (1.0,3.9)
5.73 (3.4,9.5)
12.77 (8.0,20.3)
22.18 (14.4,34.1)
30.60 (19.3,48.6)
37.31 (22.8,61.2)
50.92 (30.7,84.5)
Inland Midwest
5.14(3.3,8.0)
1.30 (0.6,2.6)
3.24(1.8,5.7)
6.77 (4.2,11.0)
11.86 (8.0,17.7)
16.78 (11.0,25.7)
20.01 (13.2,30.3)
28.78 (18.4,45.0)
Inland South
5.93 (4.2,8.3)
1.45 (0.8,2.8)
3.75 (2.3,6.0)
7.69 (5.4,11.0)
13.90 (9.9,19.4)
19.35 (13.9,27.0)
23.30 (16.9,32.2)
33.88 (23.8,48.3)
Inland West
9.59 (5.4,16.9)
3.32 (1.0,10.6)
6.97 (3.2,15.1)
12.59 (7.3,21.8)
21.06 (12.7,34.9)
28.76 (16.9,48.9)
34.72 (20.4,59.0)
44.19 (27.7,70.5)
C-106

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Table C-54. Trophic level 4 marine fish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
3.17 (1.9,5.2)
0.44(0.2,0.9)
1.37 (0.7,2.6)
3.79 (2.1,6.8)
8.02 (4.9,13.2)
12.15 (7.4,19.8)
15.96 (9.5,26.8)
23.22 (15.1,35.7)
VJcMUcl
Female
2.89 (1.8,4.6)
0.41
0.2,0.9)
1.25
0.7,2.3)
3.48(2.0,6.0)
7.41 (4.6,11.9)
11.06 (7.1,17.2)
14.49 (9.2,22.9)
20.71 (13.7,31.3)
Male
A fTQ
3.45 (2.0,5.9)
0.47
0.2,1.0)
1.51
0.8,3.0)
4.12 (2.2,7.7)
8.61 (5.1,14.6)
13.42 (7.4,24.3)
17.22 (9.8,30.3)
25.95 (15.6,43.2)
Mge
1 to <3 yrs
1.52 (0.9,2.6)
0.22
0.1,0.5)
0.71
0.4,1.4)
1.86 (1.1,3.2)
3.79 (2.3,6.2)
5.79 (3.3,10.1)
7.39 (4.2,12.9)
11.83 (6.1,23.0)
3 to <6 yrs
2.12 (1.2,3.9)
0.31
0.1,0.7)
1.07
0.5,2.5)
2.71 (1.4,5.4)
5.34(3.0,9.6)
7.68(4.4,13.3)
9.35 (5.8,15.2)
14.08 (8.7,22.8)
6 to <11 yrs
3.21 (1.6,6.3)
0.53
0.2,1.5)
1.54
0.7,3.4)
4.10 (2.0,8.6)
8.27 (4.1,16.6)
11.53 (6.2,21.5)
14.17 (7.7,25.9)
21.93 (11.1,43.3)
11 to <16 yrs
2.56 (1.3,4.9)
0.40
0.2,0.9)
1.19
0.6,2.5)
3.09 (1.6,5.9)
6.48(3.3,12.6)
9.83 (4.8,20.0)
12.41 (6.1,25.1)
18.65 (9.3,37.3)
16 to <18 yrs
3.65 (2.1,6.5)
0.51
0.3,1.0)
1.78
0.8,3.9)
4.81 (2.3,10.0)
9.51 (5.1,17.8)
13.90 (7.5,25.6)
17.52 (9.3,33.1)
22.40 (13.5,37.2)
18 to <21 yrs
1 nrnmo
6.01 (3.3,11.0)
0.89
0.4,1.9)
3.08
1.4,6.6)
7.54(4.1,13.9)
15.84 (8.1,30.9)
21.18 (12.0,37.5)
25.68 (14.9,44.2)
39.14 (22.0,69.6)
1 IllUIIlC
<$20,000
2.72 (1.9,4.0)
0.38
0.2,0.8)
1.16
0.7,2.1)
3.31 (2.0,5.4)
6.96 (4.8,10.2)
10.44 (7.0,15.5)
13.35 (8.8,20.3)
21.13 (13.4,33.3)
>$20,000
3.23 (1.9,5.5)
0.45
0.2,0.9)
1.40
0.7,2.7)
3.85 (2.1,7.0)
8.12 (4.8,13.8)
12.40 (7.2,21.3)
16.25 (9.2,28.6)
23.81 (15.0,37.8)
Income unknown
4.09 (1.8,9.2)
0.58
0.2,1.8)
2.01
0.6,7.2)
4.84(1.8,12.9)
10.51 (4.0,27.8)
16.63 (6.2,44.8)
19.54 (8.8,43.3)
23.76 (8.7,64.9)
Income, finer detail










<$20,000
2.72 (1.9,4.0)
0.38
0.2,0.8)
1.16
0.7,2.1)
3.31 (2.0,5.4)
6.96 (4.8,10.2)
10.44 (7.0,15.5)
13.35 (8.8,20.3)
21.13 (13.4,33.3)
$20k-$45k
2.89 (1.6,5.2)
0.40
0.2,0.8)
1.21
0.6,2.3)
3.25 (1.9,5.7)
6.97 (4.1,11.8)
10.94 (6.2,19.3)
14.35 (7.8,26.3)
22.31 (12.4,40.2)
$45k-$75k
2.89 (1.7,4.8)
0.40
0.2,0.8)
1.23
0.7,2.3)
3.25 (1.9,5.5)
7.27 (4.3,12.4)
11.56 (6.5,20.6)
14.55 (8.4,25.3)
22.60 (12.1,42.3)
$75k+
3.66 (2.0,6.6)
0.52
0.2,1.2)
1.70
0.8,3.7)
4.62 (2.3,9.4)
9.29 (5.2,16.7)
14.16 (7.3,27.3)
17.31 (10.1,29.6)
25.25 (16.4,38.8)
>$20,000
4.01 (1.6,9.8)
0.79
0.2,3.1)
2.02
0.8,5.2)
5.14(1.8,14.5)
9.96 (3.8,26.4)
13.38 (5.9,30.5)
18.42 (6.7,50.8)
22.42 (9.4,53.3)
Inc Ref/DK
4.16 (1.0,17.5)
0.50
0.2,1.6)
1.93
0.4,8.9)
4.86 (1.1,21.0)
11.11 (2.1,57.5)
16.63 (3.2,86.5)
18.99 (5.0,72.1)
21.87 (7.2,66.9)
Inc missing
4.00 (1.7,9.4)
0.69
0.2,2.8)
2.13
00

-------
Table C-54. Trophic level 4 marine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25
th
50
ith
75
th
90
ith
95
th
97
th
99
ith
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
2.32 (1.5,3.7)
4.09 (2.3,7.2)
2.61 (1.7,4.0)
4.14(2.2,7.9)
3.21 (2.0,5.1)
3.39 (2.2,5.3)
2.99 (1.3,6.7)
2.25 (1.2,4.3)
4.39 (2.2,8.8)
2.34(1.1,5.0)
2.29 (1.4,3.6)
4.92 (1.7,14.5)
0.33 (0.2,0.7)
0.60 (0.3,1.4)
0.40 (0.2,0.8)
0.62 (0.2,1.6)
0.46 (0.2,0.9)
0.51 (0.3,1.0)
0.41 (0.2,1.0)
0.34(0.2,0.7)
0.61 (0.2,1.6)
0.32 (0.1,0.8)
0.38(0.2,0.8)
0.81 (0.2,3.5)
0.95 (0.5,1.8)
1.97 (0.9,4.2)
1.17 (0.7,1.9)
1.99 (0.8,4.8)
3.21(1.7,6.2) 0.44(0.2,1.0) 1.36(0.6,3.0)
3.09 (2.2,4.4) 0.44 (0.2,0.8) 1.38 (0.8,2.2)
1.42 (0.8,2.4)
1.60 (0.9,2.8)
1.24(0.6,2.6)
0.96 (0.5,1.8)
2.04(0.8,5.0)
0.95 (0.4,2.1)
1.07 (0.6,1.9)
2.48(0.6,9.6)
2.73 (1.5,4.8)
5.04(2.8,8.9)
3.14(2.0,5.0)
5.15 (2.4,10.9)
3.81 (1.8,8.0)
3.77 (2.5,5.7)
4.11	(2.6,6.6)
4.12	(2.5,6.7)
3.42 (1.5,7.7)
2.66 (1.5,4.8)
5.45 (2.6,11.2)
2.74(1.2,6.2)
2.83 (1.7,4.7)
6.21 (1.8,20.9)
5.64(3.6,8.8)
10.97 (5.7,21.1)
6.67 (4.2,10.5)
10.52 (5.6,19.9)
8.10 (4.2,15.7)
7.90 (5.6,11.2)
8.28(5.2,13.1)
8.71 (5.3,14.4)
7.28 (3.3,16.2)
5.38(2.5,11.7)
12.20 (5.2,28.4)
5.75 (2.8,11.7)
6.13 (3.6,10.5)
12.20 (4.2,35.3)
8.39 (5.6,12.7)
16.66 (8.0,34.5)
9.63 (6.4,14.5)
15.09 (8.7,26.3)
12.40	(6.4,24.2)
11.57 (8.1,16.5)
12.41	(7.5,20.5)
12.52 (7.8,20.0)
10.54 (5.3,20.9)
7.88(3.2,19.4)
17.84 (7.6,41.7)
8.66 (4.4,17.0)
8.51 (5.4,13.5)
16.74 (7.1,39.5)
11.37 (7.2,17.9)
20.28 (10.4,39.4)
12.05 (8.1,18.0)
18.57 (11.3,30.5)
16.39 (8.1,33.0)
15.44 (10.6,22.5)
15.67 (9.2,26.6)
16.30 (10.0,26.5)
14.94 (6.1,36.8)
9.97 (3.6,28.0)
21.41 (9.9,46.1)
11.46 (5.5,23.7)
10.46 (6.6,16.7)
21.05 (9.3,47.4)
19.47	(11.8,32.2)
25.88	(12.8,52.4)
18.96 (12.1,29.8)
29.89	(16.7,53.4)
23.77 (13.9,40.7)
22.00 (13.8,35.0)
21.19 (9.3,48.4)
23.48	(13.8,40.0)
25.25 (9.2,68.9)
19.87 (11.6,34.1)
26.67 (11.8,60.4)
19.34 (8.0,46.5)
16.39 (9.6,27.9)
35.55 (13.0,97.3)
C-108

-------
Table C-55. Number reporting fish consumption on either 24-hr recall, by fish type

N
Total fish
Total finfish
Total
shellfish
Freshwater
Marine
Estuarine
FW+Est
Marine+ Est
Marine+ FW
Trophic
Level 2
Trophic
Level 3
Trophic
Level 4
FW+Est TL2
FW+Est TL3
FW+Est TL4
Marine
TL2
Marine
TL3
Marine
TL4
Total
29,463
6,890
5,320
2,439
2,263
6,285
4,849
4,964
6,782
6,797
2,705
4,463
4,546
2,705
3,652
2,568
2,370
4,203
4,216
Gender



















Female
15,694
3,806
2,924
1,345
1,199
3,494
2,675
2,725
3,758
3,759
1,494
2,434
2,498
1,494
2,012
1,382
1,308
2,307
2,338
Male
13,769
3,084
2,396
1,094
1,064
2,791
2,174
2,239
3,024
3,038
1,211
2,029
2,048
1,211
3,652
1,186
1,062
1,896
1,878
Age, years



















1 to <3
2,325
345
272
98
104
305
193
204
334
343
111
209
242
111
137
101
94
194
219
3 to <6
2,185
350
277
104
92
322
200
200
350
346
118
225
246
118
141
96
100
211
229
6 to <11
2,705
454
367
126
116
416
264
270
449
447
143
286
313
143
197
127
120
271
297
11 to <16
2,806
445
322
162
123
402
310
318
437
439
180
296
268
180
235
140
158
280
247
16 to <18
1,417
252
171
96
68
237
176
180
248
250
98
173
155
98
144
87
95
164
143
18 to <21
1,662
311
227
128
67
294
211
213
309
308
131
209
197
131
180
96
126
199
184
21 to <35
4,381
1,070
761
489
312
992
806
815
1,063
1,051
531
745
645
531
660
369
475
713
611
35 to <50
4,522
1,332
1,023
497
454
1,221
109
1,018
1,323
1,309
566
883
839
566
765
517
488
835
795
50 to <65
3,730
1,216
971
424
472
1,101
889
918
1,189
1,208
468
775
836
468
658
526
413
723
761
65 and older
3,730
1,115
929
315
455
995
791
828
1,080
1,096
359
662
805
359
535
509
301
613
730
WCA (13 to 49 years)
7,870
1,919
1,409
768
537
1,785
1,407
1,421
1,906
1,889
839
1,300
1,179
839
1,112
668
749
1,243
1,121
Income



















<$20k
6,679
1,374
1,091
432
395
1,256
894
920
1,350
1,358
491
911
926
491
705
470
430
857
852
$20k to <$45k
8,955
1,968
1,501
695
645
1,774
1,366
1,405
1,931
1,950
791
1,285
1,258
791
1,044
684
686
1,205
1,145
$45k to <$75k
5,561
1,334
1,039
465
477
1,211
955
979
1,313
1,316
511
856
898
511
708
530
449
799
836
$75k and over
6,288
1,768
1,352
687
600
1,634
1,314
1,336
1,746
1,730
740
1,108
1,166
740
953
713
655
1,051
1,104
>$20k
825
203
149
72
74
182
152
153
202
200
86
140
126
86
108
74
68
136
120
Ref/DK income
808
164
126
57
54
153
115
118
161
164
57
111
116
57
91
67
53
107
108
Income missing
347
79
62
31
18
75
53
53
79
79
29
52
56
29
43
30
29
48
51
Race/Ethnicity



















Mexican American
6,868
1,350
970
524
414
1,212
944
961
1,333
1,337
618
886
823
618
725
420
523
848
776
Other Hispanic
2,405
532
403
177
160
490
352
353
531
531
202
329
348
202
252
163
170
316
332
Non-Hispanic white
11,980
2,678
2,075
955
811
2,509
1,855
1,904
2,630
2,627
1,006
1,573
1,835
1,006
1,330
1,017
909
1,513
1,737
Non-Hispanic black
6,734
1,818
1,464
589
672
1,603
1,294
1,333
1,784
1,803
669
1,291
1,184
669
1,015
722
579
1,162
1,038
Other race
1,476
512
408
194
206
471
404
413
504
499
210
384
356
210
330
246
189
364
333
US Region



















Midwest
6,445
1,235
968
381
410
1,070
796
855
1,178
1,214
431
773
840
431
608
454
374
702
718
Northeast
4,475
1,202
912
447
316
1,154
811
814
1,200
1,192
445
733
806
445
606
410
403
717
790
South
11,036
2,687
21,090
950
939
2,415
1,921
1,965
2,646
2,648
1,086
1,827
1,732
1,086
1,469
1,002
944
1,692
1,581
West
7,507
1,766
1,331
661
598
1,646
1,321
1,330
1,758
1,743
743
1,130
1,168
743
969
702
649
1,092
1,127
Coastal Status



















Noncoastal
17,251
3,718
2,903
1,214
1,247
3,376
2,499
2,584
3,637
3,682
1,344
2,362
2,546
1,344
1,888
1,380
1,184
2,213
2,332
Coastal
12,212
3,172
2,417
1,225
1,016
2,909
2,350
2,380
3,145
3,115
1,361
2,101
2,000
1,361
1,764
1,188
1,186
1,990
1,884
US Coastal/Inland



















Pacific
3,802
976
747
369
349
900
743
747
972
963
425
621
644
425
528
402
362
599
624
Atlantic
4,646
1,320
1,011
488
382
1,247
954
960
1,315
1,299
524
865
835
524
706
469
465
844
810
Gulf of Mexico
1,370
361
275
186
125
316
289
296
355
351
203
269
202
203
243
131
180
240
178
Great Lakes
2,394
515
384
182
160
446
364
377
503
502
209
346
319
209
287
186
179
307
272
Inland Northeast
2,584
628
476
229
169
600
415
416
628
623
234
364
416
234
308
199
205
356
411
Inland Midwest
4,137
741
602
203
254
645
441
487
696
733
226
437
539
226
329
274
199
405
463
Inland South
6,825
1,559
1,241
490
575
1,385
1,065
1,098
1,527
1,546
566
1,052
1,067
566
810
607
493
959
955
Inland West
3,705
790
584
292
249
746
578
583
786
780
318
509
524
318
441
300
287
493
503
C-109

-------
Table C-56. Number reporting fish consumption on both 24-hr recalls, by fish type






Trophi
Trophi
Trophi






Total
Total
Total
Fresh-
Marine
Marine
c Level
c Level
c Level
FW+Est
FW+Est
FW+Est
Marine
Marine
Marine
fish
finfish
shellfish
water Marine Estuarine FW+Est
+Est
+FW
2
3
4
TL2
TL3
TL4
TL2
TL3
TL4
Total
892
568
147
129
751
Gender





Female
454
275
77
66
382
Male
438
293
70
63
369
Age, years





1 to <3
24
16
<10
<10
19
3 to <6
42
32
<10
<10
31
6 to <11
33
24
<10
<10
30
11 to <16
36
20
<10
<10
32
16 to <18
22
18
<10
<10
19
18 to <21
29
16
<10
<10
26
21 to <35
152
83
24
22
126
35 to <50
194
115
46
26
166
50 to <65
184
124
26
23
159
65 and older
176
120
23
34
143
WCA (13 to 49 years)
223
121
45
30
183
Income





<$20k
143
99
15
17
115
$20k to <$45k
224
147
39
38
173
$45k to <$75k
189
119
32
29
162
$75k and over
282
166
49
37
256
>$20k
24
18
<10
<10
20
Ref/DK income
19
12
<10
<10
16
Income missing
10
<10
<10
<10
<10
Race/Ethnicitv





Mexican American
94
57
14
11
79
Other Hispanic
67
38
14
<10
56
Non-Hispanic white
374
228
61
45
327
Non-Hispanic black
250
175
34
51
199
Other race
107
70
24
18
90
US Region





Midwest
126
88
19
19
101
Northeast
187
108
32
25
168
South
348
224
63
50
283
West
231
148
33
35
199
Coastal Status





Noncoastal
418
272
58
69
350
Coastal
474
296
89
60
401
US Coastal/Inland





Pacific
146
97
22
22
125
Atlantic
200
114
36
23
174
Gulf of Mexico
69
41
21
<10
56
Great Lakes
59
44
10
<10
46
Inland Northeast
89
58
15
13
80
Inland Midwest
68
44
<10
12
55
Inland South
176
119
23
31
141
Inland West
85
51
11
13
74
476
501
863
866
172
381
410
172
270
163
136
347
380
242
257
438
443
87
191
197
87
133
80
69
175
180
234
244
425
423
85
190
213
85
137
83
67
172
200
16
16
24
24
<10
14
13
<10
10
<10
<10
12
11
11
14
39
42
<10
24
22
<10
10
<10
<10
18
18
14
14
33
32
<10
16
17
<10
10
<10
<10
15
16
23
23
36
35
<10
22
15
<10
15
<10
<10
20
14
<10
11
20
22
<10
10
15
<10
<10
<10
<10
<10
13
11
11
29
28
<10
13
15
<10
<10
<10
<10
12
15
83
86
148
149
28
63
64
28
45
27
21
58
58
123
129
188
189
53
98
77
53
79
35
44
92
74
92
94
180
179
28
73
86
28
51
34
23
68
81
94
103
166
166
30
48
86
30
35
37
22
43
80
130
138
214
218
53
101
86
53
77
34
40
93
77
60
64
138
133
18
70
74
18
44
27
14
63
65
112
121
213
219
50
91
100
50
61
33
37
80
90
92
101
179
185
37
80
90
37
55
31
29
71
83
179
180
282
276
54
114
125
54
90
62
45
109
122
14
15
23
24
<10
11
11
<10
<10
<10
<10
10
10
12
12
19
19
<10
<10
<10
<10
<10
<10
<10
<10
<10
<10
<10
<10
10
<10
<10
<10
<10
<10
<10
<10
<10
<10
44
45
93
93
22
43
43
22
25
10
15
42
41
34
36
65
67
16
28
30
16
19
10
12
27
29
201
213
363
358
68
126
174
68
97
70
57
117
167
131
137
240
242
40
128
107
40
86
43
32
107
93
66
70
102
106
26
56
56
26
43
30
20
54
50
53
63
117
122
22
46
64
22
30
21
17
40
61
105
107
184
180
34
64
87
34
53
37
29
61
82
186
193
338
337
74
176
152
74
118
58
57
155
135
132
138
224
227
42
95
107
42
69
47
33
91
102
199
211
404
407
70
173
212
70
106
85
55
159
198
277
290
459
459
102
208
198
102
164
78
81
188
182
88
92
142
145
29
64
64
29
51
26
22
61
60
120
121
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External Peer Review of EPA's Draft Document Fish Consumption Rates
Attachment B: Mark-up of Draft Document by Patricia M. Guenther, Ph.D., RD
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Fish Consumption Rates
Draft Report
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Table of Contents
19	Chapter	Page
20
21	1	Background		1
22	2	National Health and Examination Survey		3
23	2.1 Survey Description		3
24	2.2 Survey Data		4
25	2.2.1 21 hr Recall		4
26	2.2.2 30-day Fish Consumption Frequency		4
27	2.3 Food and Nutrient Database for Dietary Studies		5
28	2.4 Regions		5
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30	3	NCI Method		7
31	4	Methods		8
32	4.1 Habitat Apportionment		8
33	4.1.1 NHANES Fish Groupings		10
34	4.1.2 Use of NO AA Landings Data		11
35	4.1.3 Imported Fish and Farmed Fish		13
36
37	4.2 Trophic Level Assignments		13
38	4.3 Extracting Reported Amounts of Fish Consumed		16
39	4.4 Statistical Methods		17
40	4.4.1 Overview of the NCI method		17
41	4.4.2 Calculation steps for the NCI and Modified
42	Models		18
43	4.4.3 Simulation of the LTsual Fish Consumption		20
44	4.4.4 Calculation of Confidence Intervals		22
45	4.4.5 Application of Modified NCI Method		22
46	4.4.6 Comparison of Estimates to NCI Method		22
47
48	5	Results		23
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50	5.1 Sample Size		23
51	5.2 UFCR Adults, 21 Years and Older		25
52	5.3 Comparison of LTFCR Estimates: Modified NCI Method
53	and NCI Method		48
54	5.4 LTncertainty		53
55	5.4.1 Habitat Assignment		53
56	5.4.2 NCI Method		54
57	5.4.3 Regions		55
58	5.4.4 Seasonality		55
59	5.4.5 Precision of Estimates		55
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61	6	References		56
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Table of Contents
(continued)
Table	Page
Table 1. Habitat Assignments of NHANES Fish Groups	 9
Table 2. NOAA landings data, clam apportionment	 12
Table 3. Trophic Level Assignments	 15
Table 4. Processing Adjustments	 16
Table 5. Sample Size and Number Reporting Fish Consumption, by Fish
Type	 24
Table 6a. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older,
by demographics	 26
Table 6b. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older,
by geography	 27
Table 7a. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults,
21 years and older, by demographics	 28
Table 7b. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults,
21 years and older, by geography	 29
Table 8a. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and
older, by demographics	 30
Table 8b. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and
older, by geography	 31
Table 9a. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and
older, by demographics	 32
Table 9b. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and
older, by geography	 33
Table 10a. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and
older, by demographics	 34
Table 10b. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and
older, by geography	 35
Table 11a. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21
years and older, by demographics	 36
Table lib. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21
years and older, by geography	 37
Table 12a. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21
years and older, by demographics	 38
Table 12b. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21
years and older, by geography	 39
Table 13a. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21
years and older, by demographics	 40
Table 13b. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21
years and older, by geography	 41
Table 14a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 2 Fish, Adults, 21 years and older, by demographics	 42
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(continued)
Table	Page
Table 14b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 2 Fish, Adults, 21 years and older, by geography	 43
Table 15a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 3 Fish, Adults, 21 years and older, by demographics	 44
Table 15b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 3 Fish, Adults, 21 years and older, by geography	 45
Table 16a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 4 Fish, Adults, 21 years and older, by demographics	 46
Table 16b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic
Level 4 Fish, Adults, 21 years and older, by geography	 47
Table 17. Models used to compare UFCR Estimates from the Modified
NCI Method and the NCI Method	 48
Figure	Page
Figure 1. Estimated usual intake of total fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 49
Figure 2. Estimated usual intake of freshwater + estuarine fish (g),
comparison of EPA's Modified NCI Method and NCI Method	 50
Figure 3. Estimated usual intake of marine fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 51
Figure 4. Estimated usual intake of estuarine fish (g), comparison of EPA's
Modified NCI Method and NCI Method	 52
Figure 5. Estimated usual intake of total fish (g), comparison of EPA's
Modified NCI Method and NCI Method with 95% CIs	 53
List of Appendices
A	Habitat Apportionment Documentation
B	Fish-Containing Food Codes
C	Usual Fish Consumption Rate Tables
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1 Background
In October, 2000, EPA's Office of Water (OW) published a document titled, Methodology for
Deriving Ambient Water Quality Criteria for the Protection of Human Health. This document
presents EPA's recommended methodology for developing ambient water quality criteria as required
under Section 304(a) of the Clean Water Act (CWA). Due to the fact that fish consumption varies
by geographical location, racial/ethnic group, age, income, and possibly other factors, EPA
suggested a "four preference hierarchy" for states and tribes to follow. The four preference
hierarchy is:
1.	Use of local data
2.	Use of data reflecting similar geography/population groups
3.	Use of data from national surveys
4.	Use of EPA's default intake rates.
The methodology included the current default fish consumption rate (FCR) used by OW:
•	17.5 grams/day for the general U.S. population and recreational fishers
•	142.4 g/day for subsistence fishers.
These rates are the 90th and 99th percentile of freshwater and estuarine fish consumption as
calculated from the Continuing Survey of Food Intake by Individuals (CSFII) conducted by the U.S.
Department of Agriculture (USDA) in 1994-1996, for adults 18 years and older. The analytical
methodology used to calculate these rates involved apportioning species consumed to habitats
(marine, estuarine, and freshwater), multiplying these habitat proportions by grams of fish reported
consumed, and then calculating the mean and percentiles of the grams of fish consumed per day by
habitat, direcdy from these resulting amounts. This methodology provides estimates of short-term
[ufcrJ.		
As fish consumption may have changed over the past decade and new analytical methodologies have
been developed, OW has conducted a new analysis of FCR. These new FCR were estimated using
data from the National Health and Nutrition Examination Survey (NHANES) 2003-2010.
NHANES is a continuous survey designed to collect data on the health and nutritional status of the
U.S. population. Each two-year cycle is designed to be representative of the general U.S. population.
In the mid-2000s, the National Cancer Institute (NCI) developed a statistical methodology to
estimate usual intake of episodically consumed foods. This method, known as the NCI Method, has
been published and statistical programs are available on NCI's website. The NCI method provides
estimates of usual daily intake rates representing the long-term average grams of fish consumed per
day. Due to the episodic nature of fish consumption, the NCI Method models both the probability
of consumption on a given day and the amount consumed on days when some fish is consumed.
These two predicted values are then multiplied together to get a usual intake value. The calculations
using the NCI Method are very time consuming. In order to get estimates in a reasonable time, EPA
created a program that approximates the results from the NCI Method.
Commented [PG1]: This acronym has not yet been defined and
should be here at first mention. Later it is said to mean Usual Fish
Consumption Rates; however, "short-term" and "usual" are
contradictory. This requires explanation. What did the 1994-96
methodology estimate exactly? The differences between the current
and previous methodologies should be made clearer.
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Usual fish consumption rates (UFCR) were estimated for the general U.S. population, the youth
population under 21 years of age, and the adult population 21 years and older. UFCR estimates were
calculated for various subpopulations, e.g., by age, gender, race/ethnicity, income, and by U.S.
Census Region and coastal and noncoastal populations. We estimated UFCR for 18 different
categories of fish. These are:
•	Total fish
•	Total finfish
•	Total shellfish
•	Marine fish
•	Freshwater fish
•	Estuarine fish
•	Freshwater + estuarine fish
•	Freshwater + marine fish
•	Estuarine + marine fish
•	Trophic level 2 fish
•	Trophic level 3 fish
•	Trophic level 4 fish
•	Marine trophic level 2 fish
•	Marine trophic level 3 fish
•	Marine trophic level 4 fish
Freshwater H
- estuarine
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fish
Freshwater H
- estuarine
trophic
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fish
Freshwater H
- estuarine
trophic
level
4
fish
This report presents the methodologies used to extract fish consumption data form the NHANES
datasets, the habitat apportionment methodology, the trophic level assignment methodology, the
statistical methodology, and the UFCR estimates and 95 % CI of the mean and the 25th, 50th, 75th,
90th, 95th, 97th, and 99th percentiles^	
Commented [PG2]: In addition to these 18 categories other, more
specific, types of fish are also tabulated and that should be mentioned
here as well.
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2 National Health and Examination Survey
2.1 Survey Description
NHANES is designed to assess the health and nutritional status of adults and children in the US. It
is conducted byjhe National Center for Health Statistics (NCHS, 2013), part of the Centers for	 ( Deleted: of
Disease Control and Prevention (CDC) which is responsible for producing vital and health statistics
for the US. NHANES began in the 1960s. In 1999, the survey became a continuous program that
examines a nationally representative sample of about 5,000 persons located in 15 counties across the
country each year.
The NHANES interview includes demographic, socioeconomic, dietary, and health-related
questions^ and the examination component consists of medical, dental, and physiological
measurements, as well as laboratory tests.
NHANES collects 2 days of dietary data from all participants. The first day, the data are collected
in-person at the examination portion of the survey. The second day's data are collected by telephone
interview 3 to 10 days after the in-person interview. Both interviews include a 24-hour dietary recall
section. The primary goal of the 24-hour recall is to collect a detailed list of all the foods and
beverages consumed within a 24-hour period. Food models are used to help participants estimate
the amount consumed. The in-person interview also includes a section on the frequency of
consumption of fish and shellfish in the past 30 days. (NCHS, 2009).
A complex, multistage, probability sampling design is used to select participants representative of the
civilian, non-institutionalized US population.
•	Stage 1: Primary sampling units (PSUs) are selected with probability proportional to a
measure of size (PPS). These are mosdy single counties or, in a few cases, groups of
contiguous counties.
•	Stage 2: The PSUs are divided up into segments (generally city blocks or their equivalent). As
with each PSU, sample segments are selected with PPS.
•	Stage 3: Households within each segment are listed, and a household sample is randomly
drawn. In geographic areas where the proportion of age, ethnic, or income groups selected
for oversampling is high, the probability of selection for those groups is greater than in other
areas.
•	Stage 4: Individuals are chosen to participate in NHANES from a list of all persons residing
in selected households. Individuals are drawn at random within designated age-sex-
race/ethnicity screening sub domains. On average, 1.6 persons are selected per household.
Overs ampling of certain population subgroups is done to increase the reliability and
precision of health status indicator estimates for these groups.
The NHANES data files include analysis weights to account for the complex survey design
(including overs ampling), survey non-response, and post-stratification. Weighted NHANES results
describe the U.S. Census civilian non-institutionalized population. A person's weight is a measure of
the number of people in the population represented by that sampled person.
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2.2
Survey Data
2.2.1	24-hr Recall
The 24-hr dietary recall interview data provide 1) what food items the participants ate and 2) how
much of each food item they ate. All NHANES participants are eligible for the dietary interview
component which occurs during the examination portion of the survey. The first interview is
conducted in-person via a computer-as sis ted dietary interview software program which was
developed for NHANES. The interviewer uses a standard set of measuring guides to help the
participant report the volume and dimensions of the foods consumed. The second dietary interview
is conducted via telephone. It occurs 3 to 10 days after the first dietary interview. The participants
are given a set of measuring guides to take home and use during the telephone interview.
The 24-hour recall data are collected using the USDA Automated Multiple-Pass Method (AMPM).
Detailed information on the method can be found on USDA's website at:
http: //www.ars.usda.gov/Services/docs.htm?docid=7710. The method is computerized and
research-based. It uses 5 steps designed to assist participants with complete and accurate food recall
and reduce respondent burden.
The five steps are:
1.	Collect a list of foods and beverages consumed the previous day.
2.	Probe for foods forgotten during the step 1.
3.	Collect the time and the name of the eating occasion for each food.
4.	For each food, collect detailed description, amount, and additions (i.e.. anything that may
have been added to the food). Review 24-hour day.
5.	Final probe for anything else consumed.
2.2.2	30-day Fish Consumption Frequency
The 30-day fish consumption frequency data are derived from questionnaire data that asks
participants how often in the past 30 days they consumed 31 different fish species. These species
are: clams, crabs, crayfish, lobster, mussels, oysters, scallops, shrimp, other shellfish, unknown
shellfish, breaded fish products, tuna, bass, catfish, cod, flatfish, haddock, mackerel, perch, pike,
pollock, porgy, salmon, sardines, sea bass, shark, swordfish, trout, walleye, other fish, and unknown
fish. Using these data we can derive a variable for the number of times fish was consumed in the
past 30 days by summing up the values for all 31 variables. This information improves intake
estimates for episodically consumed foods like fish, as even people who consumed fish frequendy
do not do so every day thus it isn't reported frequendy in 24-hour recall data. This derived variable
of frequency of consumption can then be used as a predictor in statistical models of the probability
of fish consumption and fish consumption amount.
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2.3
Food and Nutrient Database for Dietary Studies
The USD A Food and Nutrient Database for Dietary Studies (FNDDS) is the underlying database
used to code dietary intakes for NHANES. It is a database of foods, their nutrient values, and
weights for typical food portions. For each new version of FNDDS, foods, portions, and nutrient
values are reviewed and updated to reflect the U.S. food supply by incorporating new foods based
on what is reported in the survey and updating existing entries.
In FNDDS, each food is given an 8-digit food code. The first digit identifies one of nine major food
groups. The second, third, and fourth digits identify increasingly more specific subgroups. Most fish-
containing foods are found under "26 — Fish and Shellfish," "27 — Meat, Poultry, Fish with nonmeat
items," and 28 which includes soups and frozen meals. Other fish-containing foods are found under
"5 — Grains" such as seafood pizza and pasta dishes and "7 — Vegetables" for dishes that are mainly
vegetables butTalso contain fish and/or shellfish.		( Deleted: that
The NHANES 24-hour recall data includes these same food codes for each reported food
consumed, thus the reported foods can be merged to the FNDDS files to obtain recipe information.
The FNDDS files are available from the Agriculture Research Service of the USDA (USDA, 2006;
USDA, 2008; USDA 2010; Ahuja, et al., 2012).
2.4 Regions
Patterns of fish and shellfish consumption may vary by geography such as between U.S. residents
that live on or near the coast and those who live inland or^monp regions of the U.S. as defined by	Deleted: between
the U.S. Census Bureau (Mahaffey, et al, 2009). Fish consumption patterns may also vary by specific
coast (e.g., residents near the Atlantic coast may have different fish consumption patterns than those
on the Gulf of Mexico coast). In order to estimate fish consumption rates by region and coast, we
assigned NHANES respondents to U.S. Census Bureau regions and coastal or noncoastal status, and
further categorized them into 8 regions: Atlantic Coast, Northeast, Great Lakes, Midwest, South,
Gulf of Mexico, West, and Pacific Coast. The geography data were obtained from NCHS Research
Data Cente^through their restricted use data access procedures.	 [ Deleted:,
The geographic unit used by NHANES is a county or county equivalent, thus our definitions of
coastal and noncoastal were limited to county boundaries. All counties that bordered the Pacific or
Atlantic Oceans, the Gulf of Mexico or any of the Great Lakes were defined as coastal.
Additionally, counties that bordered estuaries and bays were defined as coastal as were counties
whose centroid was within approximately 25 miles of any coast even if not directly bordering a
coast. The four coastal regions were then defined based on nearest body of water. The following
provides definitions of each region:
• U.S. Census Regions
o Midwest = OH, MI, IN, WI, IL, MO, IA, MN, SD, ND, NE, and ICS
o Northeast = PA, NY, NJ,_CT, RI, MA, NH, VT, and ME
o South = DE, MD, DC, VA, WV, ICY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK,
and TX
o West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, and HI
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• Coastal and Inland Regions
o Pacific Coast = coastal counties in CA, OR, WA, AK, and HI
o Atlantic Coast = coastal counties in CT, DE, DC, FL (bordering Atlantic Ocean),
GA, ME, MD, MA, NH, NJ, NY, NC, PA, RI, SC, and VA
o Gulf of Mexico Coast = coastal counties in AL, FL (bordering Gulf of Mexico), LA,
MS, and TX
o Great Lakes Coast = counties bordering the Great Lakes in MI, WI, OH, NY, MN,
IN, IL, and PA
o Inland West = remaining counties in CA, OR, WA, AK, and HI and all of NM, CO,
WY, MT, ID, UT, AZ, and NV
o Inland South = remaining non-coastal counties in DE, MD, DC, VA, NC, SC, GA,
AL, MS, FL, LA, and TX and all of WV, KY, TN, AR, and OK
o Inland Northeast = remaining counties in PA, NY, NJ, CT, RI, MA, NH, and ME
and all of VT.
o Inland Midwest = remaining counties in OH, MI, IN, WI, IL, and MN and all of
MO, IA, SD, ND, NE, and KS
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3 NCI Method
The NCI Method (Tooze, et al, 2006; Tooze, et al, 2010) can be used to estimate the distribution of
usual intake for a population or subpopulation. The premise of the N CI method is that usual intake
is equal to the probability of consumption on a given day times the average amount consumed on a
"consumption day." For episodically-consumed foods, such as fish, a two-part model is used to
estimate usual intake. The first part estimates the probability of consumption using logistic
regression with a person-specific random effect. The second part uses linear regression on a
transformed scale to estimate the consumption-day amount, also with a person-specific effect. The
two parts are linked by allowing the person-specific effects to be correlated and by including
common predictors in both parts of the model. Data from one or more non-consecutive 24-hour
recalls provide the values for the dependent variable. At least a subset of the population needs to
have consumption data from two or more 24-hour recalls. Predictors related to either the probability
of consumption or consumption amount, such as gender, age, race, and income can be included in
the modeling. In most cases, the most important predictor is a measure of frequency of
consumption of the food of interest (in this case, fish) obtained from a food frequency
questionnaire. The resulting model parameters are then used to estimate population and
subpopulation distributions.
Evidence for the validity of the method has been published in a series of papers in the Journal of the
American Dietetic Association, Statistics in Medicine, and the Journal of Nutrition (Dodd, et al,
2006;_Tooze, et al, 2006; Tooze, et al 2010; Freedman, et al, 201CT)		[ Deleted:;
The NCI Method is an improvement over other methods designed to estimates usual intake of
episodically consumed foods because it:
•	Accounts for reported days without consumption or for consumption-day amounts that are
positively skewed
•	Distinguishes within-person from between-person variation
•	Allows for the correlation between the probability of consumption and the consumption-day
amount
•	Relates covariate information to usual intake
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4 Methods
4.1 Habitat Apportionment
In order to make estimates of fish consumption rates for marine fish, estuarine fish, freshwater fish,
and various combinations of these types, the fish species reported as consumed by NHANES
participants were apportioned to habitats. The assignments of species were completed by a fisheries
biologist. Appendix A contains the detailed documentation of the assignments for each species.
The fish were apportioned to align with EPA's long-standing interpretation of section 303(c) (2) (A)
of the Clean Water Act that State and Tribal waters should support safe consumption of fish and
shellfish and that the standards need to be set to enable residents to safely consume from local
waters the amount of fish they would normally consume from all fresh and estuarine (including near
coastal) waters. Thus marine species that are harvested in near coastal waters were assigned to the
estuarine habitat in order to be included in the freshwater + estuarine fish consumption rate. The
following decisions concerning habitat assignments were made:
•	Estuarine fish and shellfish include estuarine species harvested in near-coastal areas (clams,
mussels, crabs, lobster, shrimp) and single species that live in both marine and estuarine
habitats (e.g., specific clam and octopus species or the single jellyfish species that comprises
the US jellyfish fishery).
•	Tilapia was assigned 50 percent freshwater and 50 percent estuarine, even though it is rare in
US waters to be consistent with, ".. .the standards need to be set to enable residents to safely
consume from local waters the amount of fish they would normally consume from all fresh
and estuarine (including near coastal) waters."
•	Shrimp was assigned 17.6 percent marine and 82.4 percent estuarine. NOAA landings data
show that 17.6 percent of shrimp harvested in 2009-2010 were "Ocean Shrimp (Oregon
Pink Shrimp)," "Rock Shrimp," "Royal Red Shrimp," and "Marine Shrimp, Other."
•	Salmon was assigned 96 percent marine, 0.5 percent freshwater, and 3.5 percent estuarine.
The freshwater percent is landlocked sockeye salmon (Kokanee) found natively in Alaska,
Washington, and Oregon, but they have also been introduced to many other states for
recreational fishing. The estuarine percent includes saltwater trout which is included in the
NHANES salmon group and the small proportion of salmon that are harvested in estuaries.
Note that farmed Adantic salmon were assigned to the marine habitat as they are produced
outside of the U.S. in marine waters.
Table 1 presents the final proportion of each NHANES fish group that is assigned to marine,
estuarine, and freshwater habitats. The remainder of section 4.1 discusses the details of these
assignments. Note that unspecified fish consumed was assigned the overall average habitat
apportionment of all species reported consumed.
8

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437	Table 1. Habitat Assignments of NHANES Fish Groups
438
Species/Group

Proportion

Marine
Freshwater
Estuarine
Abalone
1.000
0.000
0.000
Anchovy
0.000
0.000
1.000
Barracuda
1.000
0.000
0.000
Carp
0.000
1.000
0.000
Catfish
0.000
0.900
0.100
Clam
0.840
0.000
0.160
Cod
1.000
0.000
0.000
Conch
1.000
0.000
0.000
Crab
0.273
0.000
0.727
Crayfish
0.000
1.000
0.000
Croaker
0.071
0.050
0.879
Eel
0.000
1.000
0.000
Fish not specified
0.520
0.160
0.320
Flatfish
0.870
0.000
0.130
Haddock
0.945
0.050
0.006
Halibut
0.780
0.000
0.220
Herring
0.304
0.010
0.686
Jellyfish
0.000
0.000
1.000
Lobster
0.044
0.000
0.956
Mackerel
0.411
0.000
0.589
Mullet
0.000
0.000
1.000
Mussel
0.000
0.000
1.000
Octopus
0.620
0.000
0.380
Oyster
0.000
0.000
1.000
Perch
0.000
1.000
0.000
Pike
0.000
1.000
0.000
Pompano
0.661
0.002
0.338
Roe
0.085
0.235
0.680
Salmon
0.960
0.005
0.035
Sardine
0.900
0.000
0.100
Scallop
0.000
0.000
1.000
Scup/Porgy
0.981
0.000
0.019
Sea Bass
0.925
0.025
0.050
Shad
0.304
0.010
0.686
Shark
0.866
0.000
0.134
Shrimp
0.176
0.000
0.824
Snail
0.450
0.100
0.450
Snapper
0.981
0.000
0.019
Squid
0.800
0.000
0.200
Sturgeon
0.000
0.420
0.580
Swordfish
1.000
0.000
0.000
Trout
0.106
0.869
0.025
Tuna
1.000
0.000
0.000
Whelk
0.000
0.000
1.000
Whitefish
0.877
0.000
0.123
Whiting
1.000
0.000
0.000
Tilapia
0.000
0.500
0.500
Rockfish/Ocean Perch
0.925
0.000
0.075
Breaded Fish Products
1.000
0.000
0.000
9

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444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
4.1.1
NHANES Fish Groupings
When the raw 24-hr recall data are processed by NHANES, fish species reported consumed are
combined. The list below presents the fish groups that are specified in NHANES data and the
additional species that are included in each.
Ab alone
Anchovy
Barracuda
Carp (bream; buffalofish; and sucker)
Catfish (bullhead)
Clams
Cod
Conch
Crab
Crayfish
Croaker (angelfish; butterflyfish;
drumfish; goatfish; kingfish; sea trout;
freshwater sheepshead; spadefish;
spot; surgeonfish; weakfish; weke;
goo; and gaspergou)
Eel
Fish stick, patty, or fillet, not specified
as to type (commercial products such
as Mrs. Paul's, Gorton's, Van de
Kamp's)
Fish, not specified as to type
Flounder (dab; fluke; halibut; sole; and
turbot)
Haddock (blowfish; burbot; cusk;
hake; ling; monkfish; pollock; and
scrod)
Halibut
Herring (alewife; milkfish; and shad)
Jellyfish
Lobster
Mackerel (garfish; ono; needlefish; and
wahoo)
Mullet
Mussels
Ocean perch (bocaccio; menpachi;
orange roughy; redfish; and rockfish)
480
•
Octopus
481
•
Oysters
482
•
Perch (freshwater bass; bluegiH;
483

crappie; sunfish; and walleye)
484
•
Pike (muskellunge; and pickerel)
485
•
Pompano (akule; blackfish; bluefish;
486

butterfish; dolphinfish; jack;
487

mahimahi; paplo; parrot fish;
488

sablefish; scad; tilefish; ulva; and
489

yellowtail)
490
•
Porgy (scup; sea bream; marine
491

sheep shead; and snapper)
492
•
Ray (skate) [not reported ever
493

consumed]
494
•
Roe
495
•
Roe, sturgeon (caviar)
496
•
Salmon (saltwater trout)
497
•
Sardines
498
•
Scallops
499
•
Sea bass (grouper; striped bass;
500

wreakfish; and bass)
501
•
Shark (dogfish; and grayfish)
502
•
Shrimp
503
•
Smelt [not reported ever consumed]
504
•
Snails
505
•
Snapper
506
•
Squid (cuttlefish)
507
•
Sturgeon
508
•
Swordfish (marlin)
509
•
Tilapia
510
•
Trout (cisco; lake herring; steelhead;
511

and whitefish)
512
•
Tuna (ahi; aku; and bonito)
513
•
Whelk
514
•
Whitefish
515
•
Whiting
10

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517
518
519
520
521
522
523
524
|525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
Deleted: ,
4.1.2 Use of NOAA Landings Data
Other assignments were complicated by the fact that a species lives in multiple habitat types, either
at different life stages or because different species occupy different habitats. For these species,
habitat apportionment was aided by using the National Oceanographic and Atmospheric
Administration (NOAA) landings data (http: / /www.st.nm.fs.noaa.gov/commercial-fisheries /).
Table 2 is an example of the NOAA landings data for clams for 2010. In order to apportion the
total consumption of clams to estuarine and marine, we first assigned a habitat to each clam species
listed. According to these data, excluding the catch-all category, 84 percent of all clam landed in
2010 was from the marine environment and 16 percent was from the estuarine environment
(multiplying the proportion of total without catch-all by the habitat proportion for each species and
then summing for each habitat). These proportions excluding the catch-all category were then
applied to the catch-all category, and the overall proportions were re-calculated.
This methodology was used to assist the apportionment of the following species: catfish, clam, crab,
flatfish, flounder, sole, halibut, lobster, mackerel, porgy, shrimp, and whiting.
This grouping of species complicates the assignment of habitat because in many cases the grouped
fish inhabit different habitats. For example, burbot, a freshwater fish, is part of the haddock group,
which is defined by the Order Gadiformes (excluding cod). All of the other species in this group are
marine and estuarine. For these groups, we used NHANES files from 2007-08 (the only available)
that provide the number of times a species was reported by all participants. Using the haddock
group as an example, in 2007-08 blowfish, burbot, cusk, hake, ling, and monkfish were reported 0
times, pollock was reported 10 times, scrod was reported 2 times, and haddock was reported 4
times. These counts were then used to assign proportions of each species in the group to the total
group. No species in a group was assigned 0 percent based on a 0 count in the filesTbecause it may
be reported in another NHANES cycle. The assigned proportions were then multiplied by the
habitats and summed to get the total habitat proportions for the fish group.
11

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546	Table 2. NOAA landings data, clam apportionment
547

Pounds Landed,
2010
Proportion of
Total
Proportion of Total
(w/o catch-all
category)
Habitat

Habitat Percent
CLAM, ARC, BLOOD
23,738
0.0003
0.0003
estuarine &
marine harvested near coast
100E
CLAM, ATLANTIC JACKKNIFE
67,334
0.0008
0.0008
estuarine

100E
CLAM, ATLANTIC SURF
37,465,740
0.4188
0.4542
marine

100M
CLAM, BUTTER
15,133
0.0002
0.0002
estuarine &
marine harvested near coast
100E
CLAM, MANILA
937,915
0.0105
0.0114
estuarine

100E
CLAM, NORTHERN QUAHOG
4,406,313
0.0493
0.0534
estuarine

100E
CLAM,OCEAN QUAHOG
31,704,091
0.3544
0.3844
marine

100M
CLAM, PACIFIC GEODUCK
2,777,529
0.0310
0.0337
estuarine &
marine harvested near coast
100E
CLAM, PACIFIC LITTLENECK
26,811
0.0003
0.0003
estuarine &
marine harvested near coast
100E
CLAM, PACIFIC RAZOR
138,826
0.0016
0.0017
marine

100M
CLAM, PACIFIC, GAPER
6,061
0.0001
0.0001
estuarine &
marine harvested near coast
100E
CLAM,QUAHOG
634,131
0.0071
0.0077
estuarine

100E
CLAM, SOFTSHELL
4,278,356
0.0478
0.0519
estuarine &
marine harvested near coast
100E
CLAMS OR BIVALVES
6,980,468
0.0780

estuarine &
marine (catch-all category)
16E/84M
Total Pounds
89,462,446





Total Pounds w/o catch-all
82,481,978





w/o catch-all
Proportion
Estuarine
0.15971





Proportion
Marine
0.84029




Total
Proportion
Estuarine
0.15973





Proportion
Marine
0.84027




548
12

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549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
|571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
4.1.3
Imported Fish and Farmed Fish
It is known that the US imports a large proportion of the fish consumed from overseas. According
to NOAA Fish Watch, 86 percent of the fish consumed in the US is imported
(http://www.fishwatch.gov/wild seafood/outside the us.htm). The top imported species are
shrimp, freshwater fish (mainly tilapia and catfish), tuna, salmon, groundfish (e.g., cod, haddock,
flounder), crab, and squid. As marine fish are not harvested from US waters for which states would
be developing water quality standards, the issue of importation for these species is not relevant.
However, shrimp is the most commonly consumed fish by US consumers. It is unknown whether
the proportion consumed that was harvested in non-US waters is distributed equally across the
distribution of fish consumers. For example, it is possible that high fish consumers eat more locally
caught fish as they may be more likely to be recreational or subsistence fishers. For the purposes of
developing UFCR, we assumed that all estuarine, freshwater, and near coastal fish that were
consumed were from US waters. The reason for this is that standards need to be set to enable
residents to safely consume from local waters the amount of fish they would normally consume
from all fresh and estuarine (including near coastal) waters.
There are similar issues with farmed freshwater fish. Freshwater fish can be farmed in man-made
ponds or tanks for which the states will not be developing water quality standards. However, as
noted above in the discussion concerning imported fish, the proportion of freshwater fish
consumed that is farmed, may not be evenly distributed across the distribution of consumption.
Again, it is possible that high fish consumers are eating locally caught fish through recreational or
subsistence fishing and thus eating a smaller proportion of farmed fish than those at the middle and
low end of the consumption distribution. Thus farmed species Twere assumed to be wild caught. This _ -[ Deleted: will be
allows residents to safely consume from local waters the amount of fish they would normally
consume from fish farms.
4.2 Trophic Level Assignments
The trophic level of an organism is the place it is in the food web. Organisms with higher trophic
levels have higher exposures to environmental contaminants.
•	Trophic level 1 organisms are primary producers (plants and algae).
•	Trophic level 2 organisms are herbivores, also called primary consumers.
•	Trophic level 3 organisms are carnivores that consume primary consumers.
•	Trophic level 4 organisms are carnivores that consume other carnivores.
•	Trophic level 5 organisms are the apex predators.
Trophic level assignments were made using the data provided in the following documents:
1.	Table 6-4 in Methodology for Deriving Ambient Water Quality Criteria for the Protection of
Human Health (2000) Technical Support Document Volume 2: Development of National
Bioaccumulation Factors. December 2003. EPA-822-R-03-030.
2.	Trophic Level and Exposure Analyses for Selected Piscivorous Birds and Mammals. Volume
III: Appendices. September 2002.
13

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594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
For species that were not in those documents, we performed a search of literature available on the
internet and applied the same rules that were described in the December 2003 document:
•	For game fish, data were used for edible size ranges (about 20 cm [8 inches] or larger).
•	For species where multiple size ranges were available, preference was given to the larger
specimens in determining the species trophic level.
•	Trophic level 2 was assigned to a species if appropriate trophic level data ranged between 1.6
and 2.4; trophic level 3 if trophic level data ranged from 2.5 to 3.4; and trophic level 4 if
trophic level data were 3.5 or higher. This is consistent with the approach taken in the Great
Lakes Water Quality Initiative guidance (USEPA, 1995b).
•	In determining NHANES grouping trophic level assignments, best professional judgment
was used. For example, the NHANES grouping for catfish includes four species that are
assigned to trophic level 3 and three species assigned to trophic level 4. Thus, it is assumed
that half (50 percent) of consumption in the catfish NHANES grouping is from TL3 and
half from TL4.
Table 3 presents the final trophic level assignments.
14

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611
612
Table 3. Trophic Level Assignments
Proportion of Assigned to Trophic Level
Fish Species/Group
Trophic Level 2
Trophic Level 3
Trophic Level 4
ABA LONE
1
0
0
ANCHOVY
0.5
0.5
0
BARRACUDA
0
0
1
CARP
0
1
0
CATFISH
0
0.5
0.5
CLAM
1
0
0
COD
0
0
1
CONCH
1
0
0
CRAB
0
1
0
CRAYFISH
0
1
0
CROAKER
0
0.5
0.5
EEL
0
0
1
FLATFISH
0
0.5
0.5
HADDOCK
0
0
1
HALIBUT
0
0
1
HERRING
0
1
0
JELLYFISH
1
0
0
LOBSTER
0
1
0
MACKEREL
0
0
1
MULLET
1
0
0
MUSSEL
1
0
0
ROCKFISH/OCEAN PERCH
0
0
1
OCTOPUS
0
0.5
0.5
OYSTER
1
0
0
PERCH
0
0
1
PIKE
0
0
1
POMPANO
0
0
1
PORGY/SCUP
0
0
1
ROE
0
0
0
SALMON
0
0
1
SARDINE
0
1
0
SCALLOP
1
0
0
SEA BASS
0
0
1
SHAD
0
1
0
SHARK
0
0
1
SHRIMP
0.5
0.5
0
SNAIL
1
0
0
SNAPPER
0
0
1
SQUID
0
0.5
0.5
STURGEON
0
0
1
SWORDFISH
0
0
1
TROUT
0
0
1
TUNA
0
0
1
WHELK
1
0
0
WHITEFISH
0
1
0
WHITING
0
1
0
TILAPIA
1
0
0
BREADED FISH PRODUCTS
0
0.5
0.5
FISH NOT SPECIFIED
0
0.5
0.5
15

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613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
4.3
Extracting Reported Amounts of Fish Consumed
The FNDDS files were searched to find all food codes that contain finfish and/or shellfish. These
records were then processed to determine the percent of each food code that is fish. During this
processing, each fish ingredient in the recipe was proportioned to marine, estuarine, and freshwater
habitat and to trophic levels 2, 3, and 4, as discussed in Sections 4.1 and 4.2. Each of these values
was summed, along with total fish percent, across all fish-containing ingredients to get total values
for each habitat, trophic level, and total fish for each fish-containing food code.
Some ingredients are pre-processed, such as canned tuna. In order to adjust for moisture loss during
the processing, adjustment factors were applied to the proportions. The adjustment factors applied
were those used in the analysis of the CSFII data published in 2002 (EPA, 2002) and were also used
in the Mercury Report to Congress (EPA, 1997). Table 4 provides the adjustments applied to
processed ingredients.
Table 4. Processing Adjustments
Processing Method
Percent moisture loss
Canned
25
Fried
12
Cooked, dry heat
25
Steamed or poached
21
Dried and salted
80
Pickled
15
Kippered
10
Salted
30
Smoked salmon
5
Smoked sturgeon
16
Smoked tuna
21
Smoked cisco
30
Smoked haddock
11
Appendix B provides a list of all fish-containing food codes reported consumed extracted from the
NHANES data along with:
•	The number of records of that food code in the data
•	The percent of all records that food code makes up
•	The description of the food
•	The fish ingredient description, if more than one
•	The proportion of the food code that is that ingredient
•	Form of ingredient (raw, canned, etc.)
•	Moisture loss due to pre-processing
•	The multiplier to calculate total fish
•	The multiplier to calculate marine fish
•	The multiplier to calculate freshwater fish
16

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644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
•	The multiplier to calculate estuaiiae fish
•	The multiplier to calculate shellfish
•	The multiplier to calculate finfish
•	The multiplier to calculate trophic level 2
•	The multiplier to calculate trophic level 3
•	The multiplier to calculate trophic level 4
4.4 Statistical Methods
4.4.1 Overview of the NCI method
For an individual, "usual fish consumption" is the long-term mean fish consumption rate expressed
in units such as grams per day. When using the NHANES data for estimation of the distribution of
usual fish consumption across individuals, the NCI method can be used, fitting a statistical model to
the reported fish consumption from two 24-hour dietary recalls. The calculations require two or
more dietary recalls with non-zero fish consumption for at least some survey respondents. The
statistical model has two sub-models: one predicting the long-term probability of fish consumption
in a 24-hour period and, for those that reported some fish consumption, a second model predicting
the long-term mean daily amount of fish consumed. The usual fish consumption (or usual fish
intake) is the product of the probability of fish consumption and the mean amount of fish
consumed.
The sub-model predicting the probability of fish consumption in a 24-hour period has two variance
components, person-level random effects for an individual's long-term probability of consuming
fish and within-individual binomial variation between days when fish was or was not consumed. The
logit-trans formed person-level random effects are assumed to be normally distributed.
The amount sub-model involves a Box-Cox transformation such that the transformed amount of
fish consumed in a 24-hour recall is reasonably normally distributed. In the transformed units, the
amount sub-mo del has two variance components, person-level random effects for an individual's
long-term mean fish consumption and within-individual differences in the amount of fish consumed
on different days. In the transformed units, the person-level mean fish consumption and the within-
individual daily fish consumption are assumed to have normal distributions.
The person-level random effects may be correlated, for example, those with a higher probability of
consuming fish in a 24-hour period may also tend to consume larger daily amounts of fish.
Both sub-models can have additional predictors, such as person-level demographic characteristics
and reported frequency of fish consumption. In addition, the model can incorporate the following
within-person predictors: 1) differences between weekends (Friday to Sunday) and weekdays
(Monday to Thursday), and 2) consistent differences between the first 24-hour recall and the second
24-hour recall in NHANES (the first was completed in person and the second was completed by
phone).
17

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686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
For the US population, the usual fish consumption distribution across the population can be	 [ Deleted: mhames
.estimated by simulating the person-level random effects, calculating the usual fish consumption for	| Deleted: obtained
each respondent and pair of simulated random components, and calculating weighted estimates of
the usual fish consumption using the NHANES weight and design variables.
EPA created a SAS macro to approximate the results from the N CI method while taking
considerably less time for the calculations. The following describes both the NCI and modified
models.
4.4.2 Calculation steps for the NCI and Modified Models
The NCI method can be implemented using two SAS macros (programs) available from the NCI
website (the MIXTRAN and DISTRIB macros). The equations fit using the NCI macros are
presented below.
For individual i, let = individual level covariates. For the jth 24-hour dietary recall for individual i,
let Atj equal the grams of fish consumed as reported in a 24-hour dietary recall, P^j = the probability
of consuming fish in a 24-hour period, Wy indicate whether the 24-hour recall was for a weekend
(Wij — 1) or a weekday (Wij — 0), and Sij indicate if the 24-hour recall was the first (in-person,
Sij = 0) or the second (by phone, Sij = 1) dietary recall. The usual daily consumption is the
weighted average of the weekday and weekend estimates. The NCI macro fits some preliminary
models to obtain approximate parameter estimates to use as starting values for the NLMIXED
procedure which fits the following set of equations at one time, using maximum likelihood. In these
equations, the parameters for the probability model are represented by 7T, the parameters for the
amount model are represented by tf, and standard deviations of the variance components are
represented by <7, and the correlation of the person-level random effects is p.
r0 AtJ = 0
l' (1 AtJ > 0
Logit{Pl}) = log	=no+ Xiknxk + nt + Wy7rw + 5y7rs
Ctj~Binomial(l,Ptj)
A-x — I
If Ai} > 0 then TtJ = 	= a0 + Xikaxk + aฃ + + Si}as + atj
atj~Normal(S>, a3)
[7T; at]~BNormal (jO O],]^1
EPA created a SAS macro to approximate the results from the N CI macro while taking considerably
less computing time. The equations for the EPA macro are described below.
In the NCI method, the maximum likelihood procedure finds the best transformation, defined by A,
consistent with the model and the assumption that the random effects are normally distributed. In
the approximate approach used by EPA, the user specifies the transformation by specifying A = A*.
The macro prints the correlation between the residuals and the associated normal scores as well as a
18

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727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
normal scores plot to help evaluate the choice of A*. The transformed consumption amounts for 24-
hour recalls with reported fish consumption are:
r. _ V"1
lJ ~~ 2*
The following summary statistics are calculated for each person:
St	Meanj(Stj),Wt = Meanj(Wtj),Dt = Sum.j(Ctj),Nt = Countj{Ctj)
For person iy Ni is the number of 24-hour recalls and Di is the number of 24-hour recalls with
reported fish consumption.
The following logistic regression model was fit using the SAS SurveyLogistic procedure and the
specified survey weights (using the NHANES strata and PSU variables). This logistic regression
model predicts the probability of consuming fish in a 24-hour recall without including the person-
level random effect.
Logit(P)	log (y^p) = n0 + Xlkmxk + Wtnw + Sฃ7rs
The person-level random effect is included by assuming the predicted logit when excluding the
random effect is proportional to the predicted logit when including the random effect. The
following model was fit subject to the constraint that the mean weighted P from the model above is
equal to the expected weighted mean of Pj. This is fit by iteratively 1) selecting the standard
deviation of the random effect 2) finding /? such that Meafli(P) = E(^MeaTli{Pi)^, and 3)
calculating the expected weighted Chi-square for predicting the observed data. The expected values
were calculated using numerical integration. The final parameters minimize the Chi-square statistic.
Logit(Pt) = log (j^y) = Logit(P)/? + nt
nt~Normal(0, 0i),/? set so that Meant(P) = E{Meani{Pl))
The correlation between the person-level random effects for the probability sub-model and the
amount sub-model is approximated by calculating a residual from the probability model and using it
as a predictor in the amount sub-model. The residual from the probability model is:
Df
Rt = — — Logistic(Logit(P)p)
Nt
The SAS SurveyReg procedure is used to fit the amount sub-model using only the records from the
first 12-hour recall (5^- = 0). The variance of the regression error (d4) is the sum of the variance of
the person-level random effect and the within-person variation.
If Dt> 0 then Tt = a0+ Xikaxk + a* + WnaWB + RtaR
a'l~N ormal{ 0, cr4)
19

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768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
The variance of the within-person variance component is estimated from the differences between
the first and second 24-hour recalls adjusted for consistent differences between the recalls and for
weekday to weekend differences. The following model was fit to estimate the within-person
variance.
If Dt> 1 then (Ai2 - An) = as + (Wi2 ~~ Wtl)aWw + ait, where ait = (ai2 + an)
The variance of the within person-level random effect is estimated from the RAISE calculated by the
SURVEYREG procedure:
9 RMSE2
03 2
The variance of the person-level random effect is:
fj| = cl - fJ32
If the estimate of ฃ7^ is less than zero, then:
0*2 = 0, fj32 = Mean o}
RMSE
The model for within-person differences and the person-level model both have parameters for the
weekend versus weekday difference. For the simulations below, the weighted average of these two
parameters was used, with weights inversely proportional to the square of the standard errors.
Both the NCI macro and the EPA macro use the NHANES survey weights for all the calculations
(i.e., weighted regressions and weighted estimates of the variance components). Calculation of
standard errors requires: 1) calculation of replicate weights consistent with the NHANES survey
design and strata and PSU variables; 2) running the macros using the full-sample weight and each
replicate weight; and 3) combining the results to estimate the standard errors.
4.4.3 Simulation of the Usu^.i Fish Consumption
With the parameter estimates, the NCI method simulates values using the model parameters with
the following modifications:
•	The predicted values reflect a standard week (3 weekend days and 4 weekday days) rather
than the distribution of weekday and weekend recalls in the data.
•	The predicted values assume the first (in-person) 24-hour recall is unbiased by ignoring the
difference between the first and second recall, i.e., (Xs = 1ZS = 0.
•	The predicted values do not include the within-person variation, i.e., binomial variation for	Deleted:
within person variation in the probability of fish consumption and the within-person Deleted;
variation in the amount of fish consumption, when consumed.
20

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812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
The number of simulated values for each person can be specified. The default number is 100. In the
equations below, the LJ subscript represents the simulation number.
The following equations are used to simulate an individual's long-term probability of fish
consumption (Qui) and long-term mean (usual) fish consumption when fish is consumed (Tyi). In
the equations below, the logistic function is the inverse of the Logit function.
Qui	Logistic (n0 + Xjknxk + nut + —uwSj
3
Tui — ซ0 + XikCCxk + ซ[/ฃ + y%
[nut Km]~BNormal ([0 O],^1
A slightly modified version of these equations is used for the simulated values using the EPA
procedure. In particular, the EPA equation requires simulating the residual from the probability
model for use in the amount model. The EPA equations are:
Qui = Logistic + Xiknxk)p + nm +~nw
Dm~Binomial(Nt, Qm)
Rm = Logistic ^tt0 + Xlknxk +1
3
Tm — a0 + Xlkaxk + am + — aw + RUiซr
[nm am]~BNormal ^[0 0], q1 ^
Finally, the simulated transformed consumption amounts are untransformed using the following
equation:
Byi = (TmA + i)W +^\-A\TuiA+^
This equation includes an adjustment with the within person variance in the fish consumption
amount (0*3). This adjustment makes the untransformed fish consumption essentially unbiased
compared to the original mean across the 24-hour recalls.
Although when Ay = 0 the transformed fish consumption is defined (T^ = —), it is possible to
simulate a value such that Tm < —, for which the untransformed value is not defined. In the NCI
UL	^ i
21

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849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
macro, these small simulated values in the transformed scale are set to half of the minimum reported
fish consumption for any 24-hour recall. The same assumption is used in the EPA calculations.
The usual fish consumption for a simulated person is then:
U(/i = Q ui^ui
Summary statistics for the usual fish consumption, such as means and percentiles, can be calculated
using the simulated values and the NHANES survey weights.
4.4.4	Calculation of Confidence Intervals
Various summary statistics (means and percentiles) are calculated using the simulated usual fish
consumption values. Since the usual fish consumption values are generally skewed with a roughly
lognormal distribution, calculating the confidence intervals on the log scale appears reasonable and
has the beneficial effect that confidence limits cannot be negative. As a result, the confidence
intervals for the summary statistics are calculated by 1) fitting the NCI model or EPA model using
the full sample weight and each replicate weight; 2) log- trans forming the estimates; 3) calculating the
standard deviation of the estimates using the appropriate formulas for the BRR weights; 4)
calculating confidence intervals for the estimates assuming a normal distribution; and 5) un-
transforming the confidence interval bounds.
4.4.5	Application of Modified NCI Method
For each fish type the NCI Method MIXTRAN macro was used to determine a starting A using the
transformed frequency
of consumption as a predictor in the model. The Modified NCI Method was then used to
determine the A that provided the highest correlation by running the model with the starting A and
then lowering and raising A in consecutive runs while including all significant predictors (age, gender,
race/ethnicity, income, coastal/inland region, log-transformed body weight, and interactions
between race/ethnicity and age, race/ethnicity and coastal/inland region, and age and coastal/inland
region). For the trophic level by habitat fish types (e.g., trophic level 2 freshwater + estuarine fish)
the interaction terms were not included in the models due to the low number of persons reporting
consumption on both recalls for those fish types. When the best lambda was determined, the
Modified NCI Method was run for all replicate weights. The number of simulations was set to five.
Confidence intervals for summary statistics were then calculated as described in Section 4.4.4.
4.4.6	Comparison of Estimates to NCI Method
In order to evaluate how estimates from the Modified NCI Method compared to estimates from the
full NCI Method, we ran simplified comparable models. The results from this exercise are presented
in Section 5.3.
22

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888
889
890
891
892
893
894
895
896
897
|898
899
900
901
902
903
904
905
906
5 Results
This section presents the sample sizes and the estimated UFCR for all fish and shellfish for adults
and youth, by demographics and geography. Full tables including rates for the total population
(youth and adults combined) and rates for freshwater fish, estuarine fish, marine + freshwater fish,
marine + estuarine fish, and trophic level by habitat are in Appendix C. The tables in Appendix C
include approximate p-values indicating the significance of the differences within subpopulations.
Note that the adult population is defined as people aged 21 years and over. The US EPA Exposure
Factors Handbook classifies those aged 21 years and over as adults. Children are grouped as follows:
3 to <6 years, 6 to <11 years, ll_to <16 years, 16 to <18 years, and 18 to <21 years.
5.1 Sample Size
Table 5 presents the sample sizes for each subpopulation that reported fish consumption on at least
one 24-hour recall. An expanded table that includes the other fish types for which rates were
calculated can be found in Appendix C.
The model for each fish type was fit using data from the total population. The simulated data were
then summarized by subsets, such as age, race/ethnicity, and region.
23

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907
908
Table 5. Sample Size and Number Reporting Fish Consumption, by Fish Type







Trophic
Trophic
Trophic

N
Any Fish
FW+Est
Marine
Finfish
Shellfish
Level 2
Level 3
Level 4
Total
29,463
6,890
4,964
6,285
5,320
2,439
2,705
4,463
4,546
Gender









Female
15,694
3,806
2,725
3,494
2,924
1,345
1,494
2,434
2,498
Male
13,769
3,084
2,239
2,791
2,396
1,094
1,211
2,029
2,048
Age, years









1 to <3
2,325
345
204
305
272
98
111
209
242
3 to <6
2,185
350
200
322
277
104
118
225
246
6 to <11
2,705
454
270
416
367
126
143
286
313
11 to <16
2,806
445
318
402
322
162
180
296
268
16 to <18
1,417
252
180
237
171
96
98
173
155
18 to <21
1,662
311
213
294
227
128
131
209
197
21 to <35
4,381
1,070
815
992
761
489
531
745
645
35 to <50
4,522
1,332
1,018
1,221
1,023
497
566
883
839
50 to <65
3,730
1,216
918
1,101
971
424
468
775
836
65 and older
3,730
1,115
828
995
929
315
359
662
805
|WCA| (13 to 49 years)
7,870
1,919
1,421
1,785
1,409
768
839
1,300
1,17S^
Income









<$20k
6,679
1,374
920
1,256
1,091
432
491
911
926
$20k to <$45k
8,955
1,968
1,405
1,774
1,501
695
791
1,285
1,258
$45k to <$75k
5,561
1,334
979
1,211
1,039
465
511
856
898
$75k and over
6,288
1,768
1,336
1,634
1,352
687
740
1,108
1,166
>$20k
825
203
153
182
149
72
86
140
126
Ref/DK income
808
164
118
153
126
57
57
111
116
Income missing
347
79
53
75
62
31
29
52
56
Race/Ethnicity









Mexican American
6,868
1,350
961
1,212
970
524
618
886
823
Other Hispanic
2,405
532
353
490
403
177
202
329
348
Non-Hispanic white
11,980
2,678
1,904
2,509
2,075
955
1,006
1,573
1,835
Non-Hispanic black
6,734
1,818
1,333
1,603
1,464
589
669
1,291
1,184
Other race
1,476
512
413
471
408
194
210
384
356
US Region









Midwest
6,445
1,235
855
1,070
968
381
431
773
840
Northeast
4,475
1,202
814
1,154
912
447
445
733
806
South
11,036
2,687
1,965
2,415
21,090
950
1,086
1,827
1,732
West
7,507
1,766
1,330
1,646
1,331
661
743
1,130
1,168
Coastal Status









N on coastal
17,251
3,718
2,584
3,376
2,903
1,214
1,344
2,362
2,546
Coastal
12,212
3,172
2,380
2,909
2,417
1,225
1,361
2,101
2,000
US Coastal/Inland









Region









Pacific
3,802
976
747
900
747
369
425
621
644
Atlantic
4,646
1,320
960
1,247
1,011
488
524
865
835
Gulf of Mexico
1,370
361
296
316
275
186
203
269
202
Great Lakes
2,394
515
377
446
384
182
209
346
319
Inland Northeast
2,584
628
416
600
476
229
234
364
416
Inland Midwest
4,137
741
487
645
602
203
226
437
539
Inland South
6,825
1,559
1,098
1,385
1,241
490
566
1,052
1,067
Inland West
3,705
790
583
746
584
292
318
509
524
Commented [PG3]: Add a footnote defining this acronym
909
24

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910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
5.2
UFCR Adults, 21 Years and Older
Tables 6 through 16 present the UFCR estimates for adults 21 years and older for total fish,
freshwater + estuarine fish, marine fish, trophic level 2 fish, trophic level 3 fish, trophic level 4 fish,
trophic level 2 freshwater + estuarine fish, trophic level 3 freshwater + estuarine fish, and trophic
level 4 freshwater + estuarine fish. The tables provide the 50th, 75th, 90th, 95th, 97th, and 99th
percentiles, along with their respective 95 percent confidence intervals.
In the tables there are percentiles for total fish consumed and for various fish types that make up the
total. The mean consumption for all fish should be equal, not counting random errors, to the sum of
the mean consumption across different types of fish, e.g., marine, estuarine, and freshwater or
trophic levels 2, 3, and 4. The same cannot be said about percentiles. At the extreme, the sum of the
maximum fish consumption across fish types will not equal the maximum fish consumption for all
fish except in the very unusual case where one individual is the largest consumer in all fish type
categories. For a selected percentile, the difference between the sum of the percentiles across fish
types and the percentile for all fish will increase as the percentile of interest increases from the 50th
percentile to 90th percentile, 99th percentile, and the maximum. In general, the 90th percentile for
all fish should be greater than the 90th percentile for any one type and less than the sum of the 90th
percentiles across all types. The selected percentiles of the fish types would only sum to the same
percentile of all fish if the fish consumption for different fish types were perfecdy correlated.
There are two tables for each fish type, a and b. Table a presents the UFCR by demographic factors
(gender, age, income, and race/ethnicity) and table b presents the UFCR by geography.
25

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932
933
Table 6a. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older, by demographics
Total Fish	Percentiles(9S% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
7.27 (4.5,11.7)
15.73 (11.9,20.7)
28.31 (23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15 (52.8,80.3)
85.30(67.9,107.2)
Gender







Female
6.47 (3.8,11.1)
14.01 (10.4,18.8)
25.18 (20.2,31.4)
39.85 (32.2,49.3)
50.02 (40.6,61.6)
57.56(46.5,71.2)
71.24 (54.6,93.0)
Male
8.71 (5.6,13.6)
18.11 (14.1,23.3)
32.29 (26.5,39.4)
50.97 (42.0,61.8)
64.06 (52.2,78.7)
74.82 (60.9,92.0)
97.15 (77.2,122.2)
Age







21 to <35 yrs
5.13 (2.2,11.9)
13.07 (7.3,23.4)
24.45 (17.2,34.8)
40.55 (30.9,53.2)
53.21 (41.8,67.7)
62.05 (49.9,77.2)
86.18 (66.5,111.6)
35 to <50 yrs
7.57 (5.2,11.0)
15.50(12.4,19.4)
27.40(22.3,33.7)
42.77 (34.0,53.8)
53.97 (41.8,69.7)
61.78 (46.3,82.4)
78.66(55.0,112.5)
50 to <65 yrs
11.27 (6.3,20.3)
21.30(14.5,31.2)
36.06(26.3,49.4)
53.88 (40.6,71.5)
65.64(51.1,84.3)
75.37 (57.6,98.5)
95.56(71.2,128.2)
65+ yrs
6.72 (4.7,9.6)
13.90 (9.9,19.5)
25.24(18.5,34.5)
39.64(28.6,55.0)
51.67 (38.8,68.9)
58.70 (41.7,82.6)
72.65 (45.8,115.3)
Women of Childbearing Age1
4.01 (2.2,7.3)
11.21 (7.7,16.4)
21.53 (16.8,27.5)
34.99 (28.6,42.9)
45.62 (37.2,56.0)
53.36(43.0,66.2)
67.82 (53.6,85.8)
Income







<$20,000
4.47 (2.8,7.1)
11.97 (9.2,15.6)
23.26(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88 (46.0,72.7)
83.56(63.1,110.6)
$20k-$45k
6.32 (3.6,11.1)
13.81 (10.1,18.8)
24.56(19.9,30.3)
39.26(32.2,47.8)
51.10 (41.9,62.3)
59.00 (48.2,72.2)
77.40 (60.0,99.9)
$45k-$75k
6.94 (4.6,10.5)
15.30(11.1,21.1)
27.60(21.2,35.9)
43.26(34.0,55.0)
55.12 (42.5,71.4)
63.46 (48.0,84.0)
81.60(58.5,113.9)
$75k+
9.99 (6.9,14.4)
19.35 (15.4,24.3)
33.90(27.5,41.9)
51.38 (41.8,63.1)
62.26(50.2,77.3)
71.28 (56.9,89.3)
90.52 (69.7,117.6)
>$20,000
7.58 (3.9,14.6)
16.85 (9.2,30.9)
27.98 (18.5,42.3)
42.57 (28.7,63.2)
54.01 (36.3,80.3)
61.71 (41.6,91.5)
83.36(52.9,131.4)
Inc Ref/DK
8.18 (2.1,32.2)
18.29 (7.6,44.0)
31.87 (17.2,58.9)
51.22 (27.2,96.5)
62.13 (36.6,105.5)
72.31 (40.2,130.2)
85.30(55.2,131.7)
Inc missing
7.83 (1.0,59.5)
19.30 (4.3,87.3)
31.80(12.2,83.1)
54.39 (21.2,139.3)
63.67 (30.6,132.5)
89.96(29.1,277.9)
108.79 (39.6,299.0)
Race/Ethnicity2







Mexican American
6.35 (3.0,13.3)
16.02 (9.6,26.7)
28.10(19.9,39.7)
43.86(32.8,58.7)
55.33 (42.2,72.5)
63.75 (48.6,83.7)
79.80(56.4,112.8)
Other Hispanic
6.89 (3.5,13.6)
15.06(10.4,21.7)
27.81 (20.0,38.7)
46.89 (30.9,71.2)
59.47 (39.2,90.2)
67.60 (46.5,98.3)
79.52 (55.0,115.1)
Non-Hispanic White
6.89 (4.4,10.9)
14.59 (11.4,18.7)
26.22 (21.4,32.1)
41.70 (33.9,51.3)
52.74 (41.7,66.7)
60.42 (46.5,78.5)
78.18 (58.7,104.1)
Non-Hispanic Black
8.89 (5.2,15.3)
17.85 (12.9,24.6)
30.74(24.2,39.0)
46.59 (38.2,56.9)
58.00 (47.6,70.7)
66.16(54.0,81.1)
82.63 (64.4,106.1)
Other race
15.15 (7.2,31.9)
28.78 (17.6,47.1)
49.09 (31.3,77.0)
71.11 (51.3,98.5)
89.81 (66.0,122.1)
105.37 (75.2,147.7)
131.76(89.0,195.1)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-Hispanic
black, and other non-Hispanic race including non-Hispanic multiracial (other race).
934
935
26

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936	Table 6b. UFCR Estimates (g/day): Total Fish, Adults, 21 years and older, by geography
937
Total Fish



Percentilesf95% CI)


Adults >21 years old
25th
5(fh
75th
90th
95th
97th
99th
All Adults
7.27 (4.5,11.7)
15.73 (11.9,20.7)
28.31 (23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15 (52.8,80.3)
85.30(67.9,107.2)
Region1







Midwest
5.25 (3.2,8.7)
11.33 (8.1,15.8)
20.03 (15.3,26.2)
31.52 (23.5,42.4)
41.40(31.2,54.9)
46.68 (32.8,66.5)
63.61 (47.1,85.9)
Northeast
9.03 (5.7,14.3)
20.29 (15.1,27.2)
35.94 (27.8,46.5)
54.03 (42.1,69.3)
66.55 (51.8,85.5)
75.85 (58.3,98.8)
94.75 (70.2,128.0)
South
7.92 (4.2,14.8)
16.60(11.6,23.7)
29.05 (22.9,36.8)
45.64(36.9,56.5)
58.23 (47.0,72.2)
67.39 (53.9,84.3)
93.86(69.9,126.1)
West
8.74 (5.7,13.4)
17.66(13.3,23.5)
30.76(23.9,39.5)
47.81 (36.8,62.1)
58.34 (46.3,73.5)
65.39 (50.9,84.1)
78.63 (53.8,115.0)
Coastal Status







Noncoastal
6.67 (3.5,12.6)
14.52 (10.0,21.1)
25.95 (20.0,33.6)
41.75 (31.9,54.7)
52.71 (40.8,68.0)
60.55 (46.8,78.3)
78.78 (59.3,104.6)
Coastal
8.59 (6.3,11.7)
17.73 (14.2,22.2)
31.48 (25.4,39.0)
49.69 (40.5,61.0)
62.13 (49.9,77.4)
71.62 (57.1,89.9)
92.02 (70.1,120.9)
Coastal/Inland Region2







Pacific
7.79 (5.3,11.5)
17.15 (12.8,23.0)
30.08 (23.6,38.3)
47.56 (38.5,58.7)
57.07 (43.7,74.4)
64.78 (47.7,88.0)
78.00(46.7,130.4)
Atlantic
9.80(6.6,14.6)
19.47 (13.7,27.7)
33.19 (23.0,47.9)
50.48 (35.3,72.2)
63.05 (45.1,88.2)
71.48 (50.4,101.4)
91.63 (65.4,128.5)
Gulf of Mexico
10.20 (5.0,20.8)
21.69 (12.4,37.8)
40.39 (24.3,67.1)
63.32 (40.9,98.1)
82.49 (52.9,128.6)
97.58 (59.7,159.5)
126.36(78.3,203.9)
Great Lakes
5.71 (3.6,9.1)
12.36(8.4,18.3)
23.38 (16.8,32.6)
36.31 (24.4,54.0)
47.37 (33.0,68.0)
55.98 (40.1,78.1)
78.34(59.4,103.3)
Inland Northeast
7.36(4.0,13.5)
19.85 (12.0,32.8)
35.86(22.9,56.2)
54.30(35.6,82.9)
69.02 (43.9,108.6)
78.14 (50.9,119.9)
95.75 ( 63.1,145.2)
Inland Midwest
5.13 (2.7,9.8)
11.12 (7.2,17.2)
19.30(14.3,26.1)
29.65 (22.4,39.2)
40.05 (29.7,54.0)
45.24(33.9,60.3)
59.71 (44.6,79.9)
Inland South
7.02 (2.8,17.5)
15.03 (8.7,26.0)
25.43 (18.8,34.3)
39.37 (30.9,50.2)
49.99 (40.0,62.4)
56.86 (45.8,70.6)
74.52 (57.3,96.9)
Inland West
9.61 (4.7,19.5)
18.22 (11.8,28.1)
32.02 (20.3,50.4)
48.00 (31.8,72.4)
59.09 (40.4,86.4)
65.89 (46.1,94.2)
79.17 (54.4,115.2)
'US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
938
939
940
941
942
943
944
27

-------
94() Table 7a. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults, 21 years and older, by demographic characteristics
946
Deleted: s
Freshwater+Estuarine Fish 	Percentiles(95% CI)
Adults >21 years old
25th
5(fh
75th
90th
95th
97th
99th
All Adults
1.93 (1.1,3.3)
4.93 (3.0,8.0)
10.99(8.0,15.1)
20.901
(16.6,26.3)
29.74(23.5,37.6)
36.80 (28.3,47.8)
57.09 (40.1,81.2)
Gender








Female
1.63 (1.0,2.8)
4.16(2.5,6.8)
9.15(6.3,13.2)
17.20i
(13.0,22.7)
24.63 (18.8,32.3)
31.06(23.4,41.3)
46.02(32.6,65.0)
Male
2.50(1.5,4.3)
6.13 (3.8,10.0)
13.56(10.1,18.2)
25.09 i
(19.9,31.6)
35.13 (27.2,45.3)
43.32 (32.9,57.1)
64.41 (45.9,90.4)
Age








21 to <35 yrs
1.62 (1.0,2.6)
4.48 (3.2,6.2)
10.30(8.1,13.2)
20.52 i
(15.6,26.9)
29.91 (22.3,40.2)
37.39 (27.7,50.5)
63.76(36.5,111.4)
35 to <50 yrs
1.92 (1.1,3.4)
4.82 (2.8,8.3)
10.88(7.1,16.6)
20.91i
(14.9,29.4)
29.98 (21.4,42.0)
38.00 (26.9,53.8)
56.84(38.1,84.8)
50 to <65 yrs
2.73 (1.4,5.4)
6.32 (3.7,10.7)
12.85(8.9,18.4)
23.111
(17.6,30.4)
31.87 (24.1,42.2)
38.28 (28.1,52.1)
57.09(38.3,85.1)
65+ yrs
1.66 (0.6,4.8)
4.27 (1.9,9.7)
9.42(5.3,16.6)
17.70i
(11.8,26.5)
25.00(17.7,35.4)
31.28 (23.1,42.4)
45.01(32.0,63.3)
Women of Childbearing Age1
1.09 (0.7,1.7)
3.26(2.1,5.0)
7.86(5.5,11.2)
15.79 i
(11.9,21.0)
23.70(18.1,31.0)
29.90(22.2,40.2)
46.38 (32.4,66.4)
Income








<$20,000
1.44 (0.8,2.6)
4.34(2.8,6.7)
10.11(7.2,14.2)
19.24i
(14.2,26.1)
28.33 (21.7,36.9)
34.81 (25.7,47.1)
58.09(37.4,90.2)
$20k-$45k
1.69 (0.9,3.1)
4.34 (2.4,7.8)
9.73 (6.4,14.7)
18.13 i
(12.6,26.0)
26.82 (20.1,35.8)
33.30(24.3,45.6)
54.19(36.8,79.7)
$45k-$75k
1.82 (1.1,3.1)
4.71 (3.2,7.0)
10.36(7.7,14.0)
19.28i
(14.8,25.1)
26.33 (19.4,35.8)
33.11 (24.2,45.4)
53.44(33.7,84.8)
$75k+
2.42 (1.1,5.2)
5.66(2.8,11.3)
12.61(8.4,19.0)
23.62i
(17.8,31.4)
34.06 (26.2,44.3)
41.31 (30.9,55.3)
62.84 (42.0,94.1)
>$20,000
2.26(1.1,4.5)
5.89 (3.3,10.7)
12.27(6.9,21.9)
22.36i
(11.2,44.8)
29.72 (15.6,56.7)
37.96(17.3,83.3)
51.37 (25.4,103.9)
Inc Ref/DK
2.42 (1.2,4.8)
6.60 (3.5,12.5)
14.54(7.1,29.8)
26.10i
(12.7,53.5)
33.66(18.0,63.1)
39.71 (21.8,72.3)
50.89(28.5,90.9)
Inc missing
3.55 (0.5,26.8)
7.54 (2.3,25.0)
16.14(5.5,47.5)
29.99 i
(10.4,86.7)
38.76(15.0,99.9)
56.84(16.5,195.4)
66.74(26.6,167.2)
Race/Ethnicity2








Mexican American
2.39 (1.4,4.0)
6.47 (4.1,10.1)
13.40(8.3,21.6)
24.78 i
(16.5,37.3)
32.70(19.4,55.2)
38.63 (20.9,71.4)
53.80(26.5,109.3)
Other Hispanic
2.34(1.4,3.9)
5.93 (3.5,10.0)
12.85(8.0,20.7)
27.60i
(17.7,43.1)
41.19 (22.0,77.3)
53.33 (24.3,117.0)
76.96(32.7,181.1)
Non-Hispanic White
1.67 (0.9,3.1)
4.17 (2.4,7.3)
9.04(5.8,14.0)
16.99 i
(12.3,23.4)
23.76(17.2,32.7)
29.73 (22.0,40.1)
42.53 (30.0,60.2)
Non-Hispanic Black
2.88 (1.6,5.1)
7.04(4.6,10.9)
14.10(10.0,19.9)
24.541
(18.3,33.0)
33.01 (23.9,45.7)
40.13 (29.1,55.3)
60.52(40.2,91.1)
Other race
5.20 (3.0,9.0)
13.23 (7.1,24.8)
25.91 (14.8,45.5)
46.42(25.8,83.6)
64.67 (34.0,123.0)
78.09 (41.9,145.6)
103.85 (59.7,180.8)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
28

-------
94f) Table 7b. UFCR Estimates (g/day): Freshwater + Estuarine Fish, Adults, 21 years and older, by geographic area	j Deleted: y
950
Freshwater + Estuarine Fish



Percen tiles(95 % CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
1.93 (1.1,3.3)
4.93 (3.0,8.0)
10.99 (8.0,15.1)
20.90(16.6,26.3)
29.74(23.5,37.6)
36.80(28.3,47.8)
57.09 (40.1,81.2)
Region1







Midwest
1.22 (0.6,2.6)
3.09 (1.5,6.4)
6.57 (3.2,13.3)
12.43 (6.8,22.8)
17.80 (9.9,31.9)
22.74(13.6,38.0)
39.41 (26.4,58.7)
Northeast
2.48 (1.4,4.3)
6.49 (4.4,9.5)
14.03 (11.0,17.9)
24.64(19.1,31.7)
32.84(25.3,42.6)
38.84(29.6,51.0)
52.54 (37.1,74.4)
South
2.57 (1.6,4.1)
6.36(4.3,9.4)
13.61 (10.0,18.5)
24.35 (18.1,32.7)
34.28 (25.2,46.5)
42.02 (30.4,58.1)
61.89 (43.6,87.9)
West
2.01 (1.1,3.8)
4.84 (2.7,8.7)
10.39 (6.6,16.4)
20.12 (14.3,28.3)
29.63 (20.3,43.2)
36.98 (24.7,55.4)
60.44 (33.1,110.2)
Coastal Status







Noncoastal
1.63 (0.9,2.8)
4.24(2.6,7.0)
9.53 (6.8,13.4)
17.83 (13.4,23.8)
25.64(19.3,34.1)
31.68 (23.1,43.5)
47.34 (32.0,70.0)
Coastal
2.59 (1.4,4.9)
6.23 (3.6,10.9)
13.67 (9.5,19.6)
25.09 (18.8,33.5)
35.64(27.0,47.1)
44.97 (33.5,60.3)
67.62 (46.7,97.9)
Coastal/Inland Region2







Pacific
2.18 (1.0,4.8)
5.19 (2.5,10.7)
11.30(6.6,19.2)
21.73 (14.1,33.5)
31.66(20.5,49.0)
39.32 (25.0,61.9)
61.40(34.9,107.9)
Atlantic
2.95 (1.2,7.2)
6.66 (3.1,14.3)
13.50 (7.8,23.4)
23.50(15.7,35.1)
31.21 (21.1,46.1)
37.43 (25.9,54.1)
51.57 (35.0,76.0)
Gulf of Mexico
5.47 (2.3,12.9)
13.29 (7.3,24.4)
24.59 (15.2,39.7)
42.50(29.3,61.7)
59.13 (42.1,83.1)
67.01 (47.1,95.3)
95.98 (65.5,140.6)
Great Lakes
1.59 (0.7,3.5)
4.07 (2.2,7.5)
8.65 (5.3,14.2)
17.69 (11.9,26.2)
27.18 (16.4,45.1)
38.56(17.7,83.9)
79.58 (15.8,400.6)
Inland Northeast
1.98 (0.9,4.2)
6.05 (3.7,9.9)
13.62 (8.7,21.4)
25.06(14.7,42.8)
33.53 (19.9,56.6)
38.93 (24.1,62.8)
54.57 (33.4,89.2)
Inland Midwest
1.14 (0.5,2.4)
2.88 (1.4,5.9)
6.09 (3.0,12.5)
11.15 (5.5,22.8)
15.55 (7.5,32.4)
19.63 (10.0,38.5)
27.89 (13.4,58.2)
Inland South
2.12 (1.4,3.2)
5.42 (3.9,7.5)
11.44(8.6,15.2)
20.33 (15.1,27.3)
27.77 (20.3,38.0)
33.55 (23.9,47.1)
49.59 (32.7,75.3)
Inland West
1.85 (0.9,3.8)
4.49 (2.4,8.4)
9.41 (5.4,16.4)
17.99 (11.3,28.7)
27.97 (16.8,46.5)
34.96(19.8,61.7)
57.44(24.9,132.6)
!US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
951
952
953
954
955
956
957
29

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959	Table 8a. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and older, by demographics
960
Marine Fish



Percentiles(95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
3.93 (2.2,6.9)
9.15 (6.2,13.4)
17.36(13.4,22.6)
28.32 (22.7,35.4)
36.93 (29.5,46.3)
43.24 (33.8,55.3)
59.03 (45.4,76.7)
Gender







Female
3.59 (1.9,6.9)
8.44(5.4,13.2)
15.83 (11.9,21.0)
26.03 (20.4,33.2)
33.80(26.7,42.7)
39.54 (30.8,50.7)
53.12 (40.8,69.1)
Male
4.43 (2.7,7.2)
10.20 (7.2,14.4)
19.21 (15.0,24.7)
31.36(24.9,39.5)
40.57 (31.6,52.1)
47.92 (36.9,62.2)
64.05 (47.7,86.0)
Age







21 to <35 yrs
2.72 (1.2,6.1)
7.26(3.9,13.5)
14.09 (9.9,20.0)
23.75 (18.4,30.6)
32.01 (25.2,40.6)
37.98 (29.7,48.5)
52.46 (38.2,72.0)
35 to <50 yrs
4.08 (2.7,6.2)
8.98 (6.6,12.3)
16.22 (12.6,20.8)
25.71 (18.8,35.1)
32.97 (22.4,48.6)
38.15 (24.3,59.9)
49.80 (28.9,85.8)
50 to <65 yrs
6.18 (3.1,12.3)
13.10 (7.4,23.2)
23.73 (14.7,38.4)
37.49 (24.2,58.2)
48.33 (30.8,75.9)
56.36(35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
3.69 (2.3,6.0)
8.43 (5.8,12.2)
16.32 (12.2,21.8)
26.30(18.6,37.2)
34.06(23.1,50.3)
39.34(25.0,61.9)
51.11 (30.3,86.1)
Women of Childbearing Age1
2.30(1.2,4.3)
6.69 (4.0,11.2)
13.24(10.0,17.6)
21.96(17.8,27.1)
29.09 (23.4,36.2)
34.16(26.6,43.9)
44.94 (31.7,63.7)
Income







<$20,000
2.38 (1.5,3.9)
6.64(4.7,9.4)
13.68 (10.4,17.9)
23.47 (18.4,29.9)
31.73 (24.8,40.5)
37.51 (28.5,49.3)
52.93 (38.5,72.8)
$20k-$45k
3.28 (1.7,6.3)
7.78 (4.9,12.3)
14.83 (10.9,20.2)
24.76(19.1,32.2)
33.08 (25.3,43.2)
38.41 (29.3,50.3)
51.69 (38.4,69.6)
$45k-$75k
3.87 (2.3,6.4)
8.96(6.0,13.4)
16.95 (12.4,23.3)
27.66(20.6,37.2)
36.28 (27.1,48.5)
43.17 (31.7,58.7)
60.72 (44.6,82.7)
$75k+
5.88 (3.3,10.6)
11.61 (8.5,15.9)
20.82 (16.4,26.4)
32.66(26.0,41.0)
41.76(32.7,53.4)
48.14 (37.0,62.6)
61.76(45.1,84.6)
>$20,000
3.93 (1.9,8.2)
8.83 (4.9,15.9)
16.61 (10.1,27.3)
27.18 (17.0,43.4)
33.96(21.2,54.3)
41.21 (25.6,66.2)
59.38 (33.0,106.7)
Income Ref/Don't Know
4.62 (1.2,17.8)
11.39 (4.0,32.7)
21.06 (9.5,46.7)
31.40(18.9,52.2)
39.90(26.0,61.2)
43.96(30.4,63.6)
66.21 (34.0,129.1)
Income missing
3.72 (0.8,18.3)
8.51 (3.4,21.2)
17.84 (7.8,40.5)
29.85 (14.8,60.2)
39.09 (20.1,75.9)
46.58 (24.6,88.1)
60.92 (33.1,112.2)
Race/Ethnicity2







Mexican American
2.95 (1.6,5.6)
8.05 (4.3,15.1)
15.34 (9.2,25.5)
24.60(16.6,36.5)
32.61 (22.0,48.3)
37.82 (26.9,53.2)
51.54 (36.7,72.4)
Other Hispanic
3.35 (1.7,6.5)
7.80 (5.0,12.1)
14.71 (10.5,20.6)
23.59 (16.7,33.3)
31.29 (21.4,45.8)
38.13 (26.3,55.4)
49.20(28.2,85.9)
Non-Hispanic White
3.89 (2.3,6.6)
8.96(6.3,12.8)
16.94(13.2,21.8)
27.72 (21.6,35.6)
36.21 (27.7,47.3)
42.70 (32.2,56.6)
58.28 (43.9,77.3)
Non-Hispanic Black
3.99 (1.9,8.2)
9.10 (5.4,15.3)
17.17 (11.7,25.3)
27.88 (20.3,38.2)
35.39 (27.5,45.5)
40.86(31.8,52.5)
52.99 (38.7,72.6)
Other race
7.38 (4.2,13.0)
16.13 (9.8,26.7)
27.20(19.8,37.3)
40.91 (32.3,51.9)
52.09 (39.7,68.3)
62.58 (45.3,86.5)
83.12 (55.7,124.1)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
30

-------
962	Table 8b. UFCR Estimates (g/day): Marine Fish, Adults, 21 years and older, by geography
963
Marine Fish



Percen tiles(95 % CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
3.93 (2.2,6.9)
9.15 (6.2,13.4)
17.36(13.4,22.6)
28.32 (22.7,35.4)
36.93 (29.5,46.3)
43.24 (33.8,55.3)
59.03 (45.4,76.7)
Region1







Midwest
2.92 (1.4,5.9)
6.80 (4.0,11.5)
13.22 (8.6,20.4)
22.25 (15.2,32.7)
29.10(20.6,41.1)
33.97 (23.7,48.7)
49.65 (34.1,72.3)
Northeast
5.13 (3.4,7.8)
12.20 (9.2,16.2)
22.32 (17.4,28.6)
35.79 (27.7,46.2)
44.96 (34.0,59.5)
52.36(39.4,69.6)
70.86(53.2,94.5)
South
3.78 (2.1,6.8)
8.60 (5.7,12.9)
16.07 (12.1,21.3)
26.22 (20.6,33.4)
34.13 (26.5,43.9)
39.92 (29.9,53.3)
54.34 (38.9,75.9)
West
5.35 (2.9,9.8)
11.28 (7.5,17.0)
19.94(15.0,26.6)
32.08 (24.2,42.4)
40.59 (31.2,52.8)
47.22 (36.3,61.4)
60.20 (45.0,80.6)
Coastal Status







Noncoastal
3.72 (1.8,7.9)
8.66 (5.1,14.7)
16.51 (11.2,24.4)
27.30(19.7,37.8)
35.98 (26.3,49.2)
42.54 (31.1,58.2)
58.94 (41.4,84.0)
Coastal
4.30(3.0,6.2)
9.98 (7.5,13.3)
18.64(14.2,24.5)
29.85 (21.8,40.9)
38.38 (27.0,54.6)
44.17 (29.2,66.7)
59.25 (39.9,88.0)
Coastal/Inland Region2







Pacific
4.84 (3.1,7.6)
10.68 (7.7,14.8)
19.09 (14.3,25.5)
30.89 (23.6,40.4)
39.14(29.2,52.5)
43.79 (29.3,65.4)
54.14 (30.4,96.3)
Atlantic
5.29 (3.2,8.7)
11.16(7.1,17.4)
20.25 (13.2,31.1)
30.95 (18.7,51.2)
39.70 (24.0,65.5)
45.57 (26.6,78.1)
60.79 (36.5,101.3)
Gulf of Mexico
3.32 (1.7,6.3)
8.16(4.1,16.3)
16.51 (9.1,30.0)
27.87 (17.4,44.5)
37.47 (23.0,61.0)
44.21 (27.6,70.9)
60.92 (33.1,112.0)
Great Lakes
2.61 (1.3,5.1)
6.73 (3.9,11.7)
13.43 (7.6,23.7)
24.52 (16.1,37.3)
32.64(20.6,51.8)
39.20(25.1,61.2)
62.01 (41.3,93.2)
Inland Northeast
4.44 (2.5,8.0)
12.31 (7.5,20.3)
22.83 (15.3,34.0)
37.42 (24.8,56.4)
48.31 (31.8,73.4)
56.54 (36.9,86.5)
76.33 (46.9,124.2)
Inland Midwest
2.98 (1.2,7.5)
6.81 (3.3,13.9)
13.14(6.8,25.6)
21.41 (12.0,38.2)
27.96(16.4,47.7)
33.06(19.6,55.8)
46.18 (26.1,81.8)
Inland South
3.49 (1.5,8.1)
8.01 (4.4,14.5)
14.65 (9.7,22.1)
23.34(17.3,31.4)
31.14(22.8,42.4)
36.74(27.2,49.5)
49.10 (34.8,69.2)
Inland West
5.86(2.4,14.3)
11.76(6.3,21.8)
20.64(12.4,34.2)
33.58 (19.6,57.5)
42.99 (25.2,73.4)
51.78 (28.2,95.2)
64.07 (39.7,103.3)
'ฆUS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
31

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965	Table 9a. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and older, by demographics
966
Finfish		Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
4.33 (2.8,6.8)
9.69 (7.2,13.0)
18.01 (14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36(36.2,59.4)
62.16(47.9,80.7)
Gender







Female
3.89 (2.4,6.4)
8.71 (6.5,11.7)
16.36(12.7,21.1)
26.82 (20.8,34.5)
34.68 (26.6,45.2)
40.98 (31.3,53.6)
55.53 (42.2,73.1)
Male
5.10 (3.3,7.9)
11.11 (8.2,15.0)
20.04(15.5,25.9)
33.90(26.8,42.9)
44.68 (35.2,56.7)
51.56(39.9,66.6)
70.67 (55.5,90.1)
Age







21 to <35 yrs
3.13 (1.2,7.9)
7.80 (4.5,13.4)
15.74(10.5,23.6)
27.51 (19.6,38.7)
36.73 (27.6,49.0)
45.27 (33.5,61.1)
61.69 (46.4,82.1)
35 to <50 yrs
4.21 (3.0,5.8)
9.04(7.0,11.7)
16.22 (12.1,21.8)
26.57 (19.6,35.9)
35.48 (26.6,47.3)
41.97 (31.2,56.4)
55.74 (40.8,76.2)
50 to <65 yrs
7.16(3.8,13.5)
13.66(9.1,20.5)
23.96(16.9,34.0)
37.45 (27.0,52.0)
47.14 (34.5,64.4)
54.81 (39.8,75.5)
70.19 (51.2,96.2)
65+ yrs
4.42 (2.9,6.6)
9.23 (6.1,13.9)
16.68 (10.8,25.7)
26.94(17.2,42.2)
34.85 (21.6,56.1)
41.21 (25.8,65.9)
54.23 (31.7,92.6)
Women of Childbearing Age1
2.30(1.3,3.9)
6.62 (4.7,9.3)
13.39 (10.4,17.3)
23.05 (18.0,29.4)
30.80(24.0,39.6)
37.14(28.7,48.1)
50.93 (38.7,67.1)
Income







<$20,000
2.80(1.7,4.7)
7.54(5.6,10.1)
15.15 (11.9,19.3)
26.02 (20.4,33.3)
35.23 (27.4,45.3)
42.94 (33.1,55.7)
59.92 (44.6,80.4)
$20k-$45k
3.80(2.5,5.9)
8.57 (6.4,11.4)
15.89 (11.8,21.4)
26.49 (19.5,35.9)
35.55 (26.3,48.0)
42.79 (31.7,57.8)
58.28 (42.2,80.5)
$45k-$75k
4.21 (2.7,6.6)
9.39 (6.7,13.2)
17.63 (13.0,23.9)
29.83 (22.3,39.9)
39.51 (29.2,53.4)
46.49 (34.4,62.9)
61.54 (44.7,84.8)
$75k+
5.90 (3.7,9.3)
11.70(8.7,15.7)
20.69 (16.1,26.6)
33.09 (25.9,42.3)
42.90 (33.5,54.9)
49.34 (38.0,64.0)
64.88 (49.1,85.8)
>$20,000
5.17 (2.4,10.9)
11.17 (5.9,21.2)
18.67 (11.9,29.3)
31.63 (19.4,51.4)
41.56(25.4,68.1)
47.52 (29.7,76.0)
64.77 (39.0,107.6)
Inc Ref/DK
4.24(1.2,14.6)
10.05 (4.6,22.1)
18.27 (10.3,32.5)
30.90(17.7,53.8)
39.51 (23.3,66.9)
45.66(28.1,74.3)
52.65 (33.0,83.9)
Inc missing
4.42 (0.8,25.9)
11.38 (3.0,43.8)
19.41 (7.6,49.3)
40.63 (12.9,127.5)
62.28 (15.1,256.3)
71.34(19.6,259.9)
79.19 (33.8,185.7)
Race/Ethnicity2







Mexican American
3.72 (1.6,8.5)
9.22 (5.5,15.3)
17.31 (11.8,25.5)
28.40(20.4,39.6)
37.92 (27.4,52.5)
44.51 (32.4,61.2)
58.73 (41.6,82.9)
Other Hispanic
3.67 (1.9,7.0)
8.02 (5.2,12.3)
15.96(11.1,23.0)
28.46(19.0,42.7)
39.06(24.8,61.5)
48.60(27.9,84.6)
68.53 (35.5,132.3)
Non-Hispanic White
4.16(2.7,6.5)
9.05 (6.8,12.0)
16.50(12.6,21.6)
27.08 (20.7,35.5)
35.37 (26.7,46.8)
42.21 (32.0,55.8)
55.55 (40.7,75.8)
Non-Hispanic Black
5.53 (3.1,9.9)
11.77 (8.4,16.5)
21.04(16.2,27.3)
32.72 (24.7,43.3)
42.43 (32.2,55.9)
49.08 (36.5,66.0)
63.98 (45.5,89.9)
Other race
9.28 (5.1,16.8)
19.45 (12.2,30.9)
33.79 (24.1,47.4)
51.47 (39.6,66.9)
64.68 (49.3,84.8)
76.63 (57.7,101.8)
101.62 (72.5,142.4)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
32

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967	Table 9b. UFCR Estimates (g/day): Total Finfish, Adults, 21 years and older, by geography
968
Finfish
Adults >21 years old




Percentilesf95% CI)


25th
50th
75th
90th
95th
97th
9?h
All Adults
4.33 (2.8,6.8)
9.69 (7.2,13.0)
18.01
(14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36 (36.2,59.4)
62.16 (47.9,80.7)
Region1








Midwest
3.46 (1.9,6.4)
7.53 (5.0,11.2)
13.90
(10.0,19.4)
22.52 (15.9,31.8)
29.42 (20.3,42.6)
34.34(22.8,51.7)
45.94(29.2,72.3)
Northeast
4.68 (2.8,7.8)
10.83 (7.7,15.2)
20.15
(14.9,27.2)
32.43 (24.0,43.7)
42.51 (32.0,56.4)
49.43 (36.7,66.5)
61.50 (42.6,88.7)
South
4.43 (2.9,6.9)
9.82 (7.4,13.0)
18.34
(14.6,23.1)
30.77 (24.5,38.6)
41.57 (32.9,52.5)
49.09 (38.6,62.4)
68.72 (52.4,90.1)
West
5.50 (3.5,8.7)
11.42 (8.3,15.7)
20.56
(15.2,27.7)
33.37 (24.9,44.7)
43.13 (32.0,58.1)
49.58 (36.7,67.0)
63.78 (46.0,88.5)
Coastal Status








Noncoastal
4.25 (2.2,8.4)
9.41 (6.2,14.2)
17.22
(12.6,23.6)
28.30(20.8,38.5)
37.18 (27.2,50.8)
44.49 (31.9,62.1)
59.59 (42.2,84.0)
Coastal
4.46 (2.9,6.8)
10.11 (7.1,14.4)
19.35
(14.1,26.6)
32.10(23.5,43.9)
42.40 (31.3,57.4)
49.31 (34.7,70.2)
64.60 (41.5,100.7)
Coastal/Inland Region2








Pacific
4.81 (3.1,7.4)
10.46 (7.0,15.5)
19.46
(13.5,28.1)
31.64(22.0,45.5)
41.98 (29.8,59.1)
47.91 (32.0,71.7)
61.39 (37.3,101.0)
Atlantic
4.92 (2.5,9.8)
10.63 (5.9,19.1)
19.71
(11.5,33.8)
32.33 (20.2,51.6)
41.52 (26.0,66.2)
48.72 (30.7,77.2)
62.38 (37.4,104.2)
Gulf of Mexico
4.15 (2.3,7.5)
10.35 (5.6,19.2)
21.27
(12.8,35.3)
39.99 (22.2,72.0)
51.16(29.5,88.6)
62.44(36.5,106.7)
87.20 (53.2,142.8)
Great Lakes
3.28 (1.7,6.2)
7.81 (4.7,13.0)
16.14
(11.0,23.6)
26.25 (17.0,40.5)
33.30(19.7,56.4)
38.84(22.1,68.2)
50.24(24.6,102.6)
Inland Northeast
4.16(1.9,9.3)
10.49 (6.0,18.2)
19.59
(12.3,31.3)
31.54(20.1,49.6)
42.49 (25.6,70.6)
49.34(30.1,80.8)
64.36(39.1,105.9)
Inland Midwest
3.51 (1.6,7.8)
7.46 (4.4,12.5)
13.37 (9.1,19.7)
21.42 (15.1,30.4)
27.66(19.5,39.3)
32.61 (22.7,46.9)
44.71 (31.2,64.1)
Inland South
4.36(2.1,9.2)
9.65 (6.3,14.8)
17.43
(13.2,23.0)
28.90(22.0,37.9)
38.14(29.2,49.9)
45.41 (34.1,60.5)
62.91 (43.9,90.0)
Inland West
6.37 (2.7,14.8)
12.46 (7.0,22.0)
21.80
(12.8,37.1)
35.00(19.9,61.5)
45.08 (26.0,78.3)
51.03 (31.2,83.6)
66.40 (40.9,107.8)
'US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
969
33

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970	Table 10a. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and older, by demographics
971
Shellfish	Percent'Hes(95% CI)
Adults >21 years old
25th
5(fh
75th
90th
95th
97th
99?h
All Adults
1.03 (0.5,2.2)
3.01 (1.7,5.4)
7.56(4.6,12.5)
15.99 (10.6,24.2)
24.18 (16.9,34.5)
30.09 (20.8,43.5)
45.50(31.9,64.9)
Gender







Female
0.87 (0.4,1.8)
2.54(1.4,4.5)
6.29 (3.8,10.3)
13.21 (8.8,19.8)
19.65 (13.7,28.2)
24.33 (16.8,35.3)
36.72 (25.6,52.7)
Male
flap
1.36(0.7,2.8)
3.77 (2.0,7.2)
9.34 (5.5,16.0)
19.96(13.3,29.9)
29.28 (20.3,42.3)
37.02 (26.2,52.3)
52.89 (36.0,77.7)
Mge
21 to <35 yrs
0.91 (0.5,1.6)
2.79 (1.8,4.4)
7.07 (4.9,10.3)
15.25 (10.9,21.3)
23.19 (16.4,32.9)
29.32 (20.8,41.4)
45.67 (31.2,66.8)
35 to <50 yrs
1.22 (0.6,2.5)
3.42 (1.9,6.0)
8.29 (4.9,13.9)
17.39 (10.9,27.8)
26.33 (16.6,41.9)
33.10(20.2,54.1)
49.86(29.3,84.8)
50 to <65 yrs
1.39 (0.5,3.7)
3.70(1.7,8.3)
8.81 (4.6,16.8)
17.69 (10.5,29.9)
25.40(15.8,40.8)
30.66(18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
0.65 (0.2,1.9)
1.92 (0.8,4.7)
5.03 (2.1,11.8)
11.56(5.8,23.1)
18.25 (10.4,32.0)
23.74(14.2,39.7)
37.46(25.3,55.4)
Women of Childbearing Age1
0.69 (0.4,1.3)
2.24(1.4,3.7)
5.85 (3.8,8.9)
12.53 (8.6,18.4)
18.66(12.8,27.1)
24.02 (16.8,34.4)
37.23 (25.2,55.0)
Income







<$20,000
0.65 (0.3,1.6)
2.05 (1.0,4.1)
5.52 (3.2,9.6)
12.05 (7.6,19.1)
18.57 (12.1,28.4)
23.88 (15.7,36.2)
39.56(26.9,58.2)
$20k-$45k
0.88 (0.5,1.6)
2.50(1.5,4.1)
6.28 (4.2,9.5)
13.81 (9.1,21.0)
20.43 (13.7,30.6)
25.21 (17.8,35.7)
38.84(27.4,55.1)
$45k-$75k
1.01 (0.4,2.6)
2.93 (1.4,6.0)
7.38 (4.1,13.2)
15.80 (9.8,25.5)
23.53 (14.9,37.1)
29.00(18.1,46.5)
43.18 (27.6,67.6)
$75k+
1.54(0.6,3.8)
4.08 (1.9,8.9)
9.44 (4.5,20.0)
19.69 (11.6,33.4)
28.64(18.0,45.5)
35.29 (22.1,56.2)
50.60(31.8,80.5)
>$20,000
1.03 (0.4,2.8)
2.87 (1.2,6.8)
6.98 (3.4,14.4)
13.18 (6.2,28.2)
20.43 (10.1,41.1)
24.30(11.7,50.3)
37.71 (18.8,75.6)
Inc Ref/DK
1.73 (0.9,3.4)
5.13 (2.7,9.6)
12.28 (6.9,22.0)
26.56(12.8,55.0)
39.43 (16.8,92.7)
55.89 (16.4,191.0)
68.50(29.3,160.0)
Inc missing
1.03 (0.3,3.8)
2.90(0.9,9.6)
7.13 (2.3,22.1)
17.46 (6.4,47.9)
22.57 (9.7,52.7)
24.73 (10.4,58.9)
37.44(18.0,77.8)
Race/Ethnicity2







Mexican American
1.34 (0.7,2.6)
3.54(1.9,6.6)
9.04(5.7,14.4)
18.09 (11.6,28.2)
25.25 (15.3,41.8)
31.69 (19.0,52.9)
46.21 (24.4,87.7)
Other Hispanic
1.21 (0.6,2.4)
3.87 (2.1,7.0)
9.72 (5.4,17.4)
21.39 (11.5,39.8)
31.76(17.2,58.5)
38.12 (20.4,71.1)
59.42 (31.9,110.8)
Non-Hispanic White
0.95 (0.4,2.3)
2.75(1.3,5.7)
6.96(3.7,13.2)
14.74 (8.4,25.7)
22.25 (13.7,36.1)
28.42 (18.1,44.6)
41.99 (26.7,65.9)
Non-Hispanic Black
1.02 (0.5,2.0)
2.83 (1.7,4.7)
6.61 (4.4,9.8)
13.07 (9.2,18.6)
18.57 (13.0,26.5)
22.97 (16.0,32.9)
34.03 (22.9,50.6)
Other race
2.20(1.1,4.4)
6.86(2.9,16.3)
15.49 (7.5,32.1)
29.57 (14.9,58.7)
41.83 (21.9,79.9)
49.50 (28.0,87.5)
76.70 (36.5,161.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
34

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972	Table 10b. UFCR Estimates (g/day): Total Shellfish, Adults, 21 years and older, by geography
973
Shellfish
Adults >21 years old



Percentilesf95% CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
1.03 (0.5,2.2)
3.01 (1.7,5.4)
7.56(4.6,12.5)
15.99 (10.6,24.2)
24.18 (16.9,34.5)
30.09 (20.8,43.5)
45.50 (31.9,64.9)
Region1







Midwest
0.57 (0.2,1.4)
1.52 (0.6,3.8)
3.66(1.6,8.5)
7.49 (3.4,16.4)
11.35 (5.5,23.3)
14.04(6.3,31.4)
25.98 (15.7,43.1)
Northeast
1.82 (0.7,4.9)
5.45 (2.7,11.2)
12.83 (7.2,22.9)
25.65 (16.8,39.1)
36.22 (24.0,54.6)
44.19 (28.8,67.9)
63.65 (40.2,100.8)
South
1.33 (0.7,2.5)
3.60(2.1,6.1)
8.52 (5.3,13.6)
17.16(10.8,27.3)
24.78 (15.9,38.6)
30.72 (20.3,46.6)
45.31 (31.0,66.3)
West
1.23 (0.5,3.0)
3.41 (1.6,7.1)
7.95 (4.2,15.1)
16.30(9.9,26.9)
23.45 (14.7,37.4)
28.40(17.5,46.2)
42.01 (26.4,66.8)
Coastal Status







Noncoastal
0.83 (0.4,1.8)
2.37 (1.2,4.7)
5.98 (3.3,10.9)
12.94 (7.7,21.7)
20.22 (12.9,31.8)
26.12 (16.5,41.4)
41.57 (26.3,65.7)
Coastal
1.58 (0.8,3.3)
4.43 (2.4,8.1)
10.22 (6.0,17.5)
20.19 (12.8,31.8)
28.47 (18.7,43.3)
34.86(23.2,52.3)
49.89 (34.5,72.2)
Coastal/Inland Region2







Pacific
1.48 (0.6,3.4)
3.96(1.9,8.3)
9.08 (4.7,17.6)
17.25 (9.3,32.2)
24.42 (13.5,44.0)
29.20(16.1,52.9)
40.71 (21.5,77.0)
Atlantic
1.95 (0.7,5.1)
5.13 (2.3,11.6)
11.11 (5.2,23.7)
20.78 (10.7,40.2)
28.22 (14.8,53.7)
33.96(18.0,63.9)
48.79 (29.0,82.2)
Gulf of Mexico
3.21 (1.1,9.1)
7.88 (3.3,18.9)
17.27 (8.0,37.1)
29.60(16.1,54.5)
41.15 (22.9,74.0)
49.27 (29.2,83.1)
73.41 (40.7,132.5)
Great Lakes
0.69 (0.2,2.6)
1.94 (0.6,5.9)
4.85 (2.1,10.9)
10.10 (5.1,20.1)
15.90 (8.9,28.5)
25.98 (14.0,48.4)
44.34 (20.0,98.2)
Inland Northeast
1.66 (0.5,5.1)
5.45 (2.6,11.5)
13.83 (8.0,24.0)
28.96(17.3,48.6)
39.50(23.7,65.9)
49.86 (29.3,84.8)
78.07 (38.7,157.4)
Inland Midwest
0.54 (0.2,1.2)
1.45 (0.6,3.3)
3.42 (1.5,7.7)
7.03 (3.3,14.9)
10.18 (4.7,22.1)
12.79 (5.8,28.1)
20.01 (9.5,42.3)
Inland South
0.98 (0.5,1.9)
2.63 (1.5,4.5)
5.93 (3.9,9.1)
11.75 (7.5,18.4)
16.33 (11.1,24.1)
20.87 (13.5,32.3)
31.29 (19.6,49.9)
Inland West
1.02 (0.3,3.5)
2.75 (0.9,8.4)
6.93 (3.1,15.8)
14.83 (7.9,27.7)
22.16(12.9,38.0)
26.55 (14.6,48.4)
42.31 (25.8,69.3)
'ฆUS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
35

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975	Table 11a. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21 years and older, by demographics
976
Trophic Level 2 Fish		Percentiles(95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.4)
2.40(1.6,3.6)
5.69 (4.0,8.0)
11.56(8.3,16.2)
16.51 (11.1,24.5)
20.87 (13.8,31.6)
31.79 (20.1,50.4)
Gender







Female
0.74 (0.4,1.3)
2.07(1.3,3.2)
4.84 (3.4,6.9)
9.64(6.9,13.4)
13.95 (9.9,19.6)
17.21 (11.8,25.1)
25.63 (16.2,40.5)
Male
flap
1.07 (0.6,1.8)
2.95(1.9,4.5)
6.96(4.7,10.3)
13.81 (9.2,20.7)
19.84(12.7,30.9)
24.76(15.5,39.5)
36.83 (21.9,61.9)
Mge
21 to <35 yrs
0.74 (0.4,1.5)
2.11(1.3,3.5)
5.06(3.5,7.3)
10.29 (7.3,14.5)
14.36(10.0,20.7)
17.93 (11.9,27.1)
27.79 (17.8,43.4)
35 to <50 yrs
0.99 (0.5,1.9)
2.65(1.6,4.4)
6.11 (4.0,9.2)
12.58 (7.9,20.0)
18.43 (10.8,31.6)
23.72 (13.6,41.5)
40.70 (24.5,67.7)
50 to <65 yrs
1.18 (0.7,2.1)
2.95(1.8,4.9)
6.49 (4.1,10.3)
12.15 (7.7,19.3)
16.60 (9.7,28.4)
20.51 (11.9,35.4)
28.99 (15.4,54.7)
65+ yrs
0.58 (0.2,1.3)
1.72(0.9,3.3)
4.76 (3.0,7.4)
10.73 (7.5,15.3)
16.36(11.4,23.5)
20.25 (13.9,29.6)
28.91 (19.0,43.9)
Women of Childbearing Age1
0.56(0.3,1.2)
1.69(1.0,2.9)
4.28 (2.9,6.4)
8.87 (6.3,12.4)
13.18 (9.3,18.7)
16.53 (11.2,24.5)
25.53 (15.9,41.1)
Income







<$20,000
0.58 (0.3,1.1)
1.75(1.1,2.9)
4.21 (2.6,6.9)
8.89 (5.7,14.0)
13.35 (8.3,21.4)
16.96(10.1,28.5)
28.02 (18.4,42.6)
$20k-$45k
0.79 (0.4,1.4)
2.22(1.3,3.7)
5.32 (3.6,7.9)
10.95 (7.7,15.6)
15.94(11.4,22.3)
20.52 (14.6,28.9)
30.26(20.5,44.7)
$45k-$75k
0.86(0.5,1.6)
2.42(1.4,4.1)
5.73 (3.6,9.1)
11.21 (7.3,17.3)
16.05 (10.2,25.4)
19.88 (12.2,32.5)
30.88 (18.7,51.0)
$75k+
1.10 (0.6,1.9)
2.82(1.7,4.6)
6.53 (4.0,10.6)
12.94 (8.0,21.0)
18.22 (10.3,32.3)
22.88 (12.6,41.5)
35.24(20.1,61.8)
>$20,000
0.93 (0.4,2.1)
2.58(1.3,5.3)
5.59 (2.8,11.0)
11.34 (5.7,22.7)
17.15 (8.5,34.7)
21.99 (10.1,48.0)
31.47 (14.9,66.6)
Inc Ref/DK
1.34 (0.5,3.7)
3.83 (1.5,9.8)
8.74 (4.0,19.1)
15.37 (8.5,27.9)
20.83 (11.6,37.5)
22.15 (9.9,49.4)
28.50 (9.4,86.6)
Inc missing
0.75 (0.1,7.3)
2.32 (0.3,16.6)
5.42 (1.1,27.5)
8.57 (2.8,25.8)
14.07 (3.9,50.7)
17.52 (5.1,60.3)
31.15 (6.4,151.5)
Race/Ethnicity2







Mexican American
1.32 (0.7,2.4)
3.53 (2.2,5.6)
7.78 (5.1,11.9)
15.01 (9.6,23.5)
21.32 (12.9,35.3)
26.65 (15.6,45.4)
40.14(22.3,72.2)
Other Hispanic
1.04(0.5,2.4)
3.16(1.7,5.7)
7.78 (4.7,12.9)
17.45 (9.8,31.0)
25.76(14.5,45.8)
33.70(18.7,60.8)
47.87 (26.0,88.2)
Non-Hispanic White
0.77 (0.5,1.3)
2.10(1.4,3.2)
4.96(3.3,7.5)
10.20(6.7,15.4)
14.87 (9.5,23.3)
18.19 (10.6,31.2)
26.70(13.9,51.4)
Non-Hispanic Black
1.01 (0.6,1.7)
2.70(1.8,4.1)
6.07 (4.3,8.5)
10.94 (7.6,15.7)
14.75 (9.2,23.7)
18.20(11.2,29.5)
26.03 (14.8,45.7)
Other race
1.59 (0.6,4.2)
4.21(1.8,9.7)
9.68 (4.5,20.6)
17.95 (10.2,31.5)
27.23 (14.8,50.0)
36.64(18.2,73.7)
57.07 (26.7,122.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities.
Otherwise, self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-
Hispanic white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
36

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977	Table lib. UFCR Estimates (g/day): Total Trophic Level 2 Fish, Adults, 21 years and older, by geography
978
Trophic Level 2 Fish
Adults >21 years old



Percentilesf95% CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
0.87 (0.5,1.4)
2.40(1.6,3.6)
5.69 (4.0,8.0)
11.56(8.3,16.2)
16.51 (11.1,24.5)
20.87 (13.8,31.6)
31.79 (20.1,50.4)
Region1







Midwest
0.46 (0.2,0.9)
1.18 (0.6,2.2)
2.67 (1.4,5.2)
5.24(2.5,11.1)
7.69 (3.5,17.1)
9.80 (4.3,22.3)
16.74 (8.2,34.1)
Northeast
1.55 (0.9,2.7)
4.00(2.6,6.1)
9.29 (6.4,13.5)
16.85 (10.8,26.3)
23.80(14.4,39.3)
30.18 (18.3,49.8)
45.42 (26.1,79.1)
South
1.24 (0.5,2.9)
3.11 (1.7,5.7)
6.66 (4.4,10.1)
12.32 (8.4,18.0)
17.42 (11.7,25.9)
21.29 (13.7,33.1)
30.46(17.6,52.9)
West
0.92 (0.5,1.6)
2.52 (1.5,4.1)
5.98 (3.9,9.3)
11.63 (7.6,17.9)
16.00(10.1,25.3)
20.16(12.8,31.9)
29.52 (18.4,47.5)
Coastal Status







Noncoastal
0.71 (0.4,1.2)
1.94(1.3,2.9)
4.60 (3.1,6.8)
9.75 (6.7,14.3)
14.62 (9.4,22.7)
18.88 (11.9,30.0)
30.44(18.3,50.5)
Coastal
1.28 (0.7,2.4)
3.32 (2.0,5.5)
7.42 (4.8,11.5)
13.66 (8.8,21.2)
18.65 (11.2,31.0)
23.08 (13.8,38.5)
33.89 (20.4,56.3)
Coastal/Inland Region2







Pacific
1.34 (0.6,3.2)
3.27 (1.7,6.4)
7.20 (4.1,12.6)
12.73 (8.0,20.2)
17.05 (10.5,27.7)
20.42 (12.1,34.4)
29.10(16.4,51.8)
Atlantic
1.49 (0.7,3.1)
3.55 (1.7,7.2)
7.31 (3.3,16.0)
13.19 (5.8,30.0)
17.58 (7.0,44.3)
21.29 (8.2,55.3)
28.51 (9.6,84.6)
Gulf of Mexico
2.72 (0.8,9.1)
6.37 (2.5,16.2)
12.19 (6.5,22.8)
20.53 (12.9,32.6)
27.79 (18.0,42.9)
35.13 (22.5,55.0)
53.49 (31.8,89.9)
Great Lakes
0.51 (0.2,1.5)
1.35 (0.5,3.7)
3.39 (1.6,7.3)
6.92 (3.3,14.5)
11.08 (5.9,20.7)
15.76(8.6,28.7)
40.29 (8.8,184.6)
Inland Northeast
1.46 (0.8,2.8)
4.22 (2.3,7.8)
10.42 (5.3,20.6)
19.99 (10.4,38.6)
28.50(14.8,54.8)
36.43 (18.1,73.5)
51.65 (25.8,103.5)
Inland Midwest
0.45 (0.2,0.8)
1.14 (0.6,2.1)
2.56(1.3,4.9)
4.83 (2.3,10.1)
6.97 (3.1,15.6)
8.58 (3.6,20.4)
13.55 (5.7,32.2)
Inland South
1.00 (0.4,2.6)
2.52 (1.2,5.2)
5.25 (3.3,8.3)
9.71 (6.8,13.9)
13.75 (9.6,19.7)
17.00(11.7,24.6)
24.23 (15.4,38.1)
Inland West
0.70 (0.4,1.4)
1.83 (1.0,3.4)
4.42 (2.5,7.7)
10.14(6.2,16.6)
14.59 (8.5,25.1)
18.88 (10.9,32.7)
29.52 (17.6,49.5)
'ฆUS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
37

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980	Table 12a. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21 years and older, by demographics
981
Trophic Level 3 Fish
Adults >21 years old



Percen tiles(95 % CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
2.21 (1.3,3.8)
5.02 (3.5,7.2)
9.82 (7.5,12.9)
17.02 (13.1,22.0)
22.69 (17.4,29.6)
26.67(20.1,35.3)
37.12 (27.0,51.1)
Gender







Female
1.89 (1.1,3.4)
4.29 (2.9,6.3)
8.26(6.2,11.0)
14.27 (10.9,18.7)
19.65 (14.9,25.9)
23.04(17.3,30.7)
30.29 (21.1,43.5)
Male
2.79 (1.6,4.7)
6.16 (4.3,8.9)
11.84(8.9,15.7)
19.58 (15.0,25.5)
26.16(20.0,34.3)
31.43 (23.6,41.9)
43.53 (31.2,60.8)
Age







21 to <35 yrs
1.83 (0.8,4.2)
4.43 (2.5,7.9)
9.11 (5.9,14.1)
16.46(11.3,24.0)
23.04(16.0,33.3)
27.79(20.0,38.6)
39.30(27.5,56.1)
35 to <50 yrs
2.12 (1.4,3.3)
4.78 (3.4,6.8)
8.99 (6.0,13.4)
15.83 (11.1,22.7)
20.81 (13.8,31.4)
25.07(16.8,37.5)
34.07 (22.2,52.2)
50 to <65 yrs
3.37 (1.8,6.2)
7.01 (4.3,11.3)
12.62 (8.6,18.4)
20.10(14.1,28.6)
25.43 (18.4,35.2)
29.52(21.2,41.2)
39.79 (26.6,59.5)
65+ yrs
1.94(1.1,3.4)
4.27 (2.8,6.4)
8.35 (6.0,11.7)
14.07 (9.5,20.8)
18.81 (12.1,29.2)
23.03 (15.3,34.7)
31.34(19.5,50.3)
Women of Childbearing Age1
1.19 (0.7,2.0)
3.36(2.3,5.0)
6.95 (5.2,9.3)
12.62 (9.6,16.6)
17.94(13.7,23.5)
21.72(16.5,28.7)
29.33 (20.7,41.5)
Income







<$20,000
1.69 (1.1,2.7)
4.37 (3.1,6.2)
9.28 (7.0,12.4)
16.75 (12.7,22.1)
22.84(17.0,30.7)
26.79(18.8,38.2)
36.93 (23.5,58.1)
$20k-$45k
1.89 (1.0,3.5)
4.39 (2.8,6.8)
8.59 (6.3,11.8)
14.88 (11.2,19.8)
19.71 (14.6,26.5)
23.39(17.0,32.2)
34.42 (24.0,49.4)
$45k-$75k
2.24(1.2,4.2)
5.15 (3.1,8.4)
10.25 (6.9,15.2)
17.45 (12.7,24.0)
23.10(17.1,31.2)
27.18(20.2,36.5)
37.20(26.6,52.0)
$75k+
2.70(1.7,4.2)
5.62 (4.0,7.8)
10.49 (7.7,14.4)
17.85 (13.3,24.0)
23.51 (17.3,31.9)
27.40(19.5,38.4)
38.12 (26.7,54.4)
>$20,000
2.72 (0.9,8.1)
5.58 (2.5,12.6)
10.12 (5.5,18.6)
16.06 (9.4,27.4)
20.92 (12.4,35.4)
25.37(14.5,44.5)
33.62 (18.1,62.4)
Inc Ref/DK
2.72 (0.8,9.4)
6.68 (2.5,17.7)
13.40(5.8,30.8)
22.93 (10.3,50.9)
27.60(15.3,49.9)
30.12(18.1,50.2)
36.66(21.2,63.5)
Inc missing
2.89 (0.5,15.2)
6.52 (1.8,23.3)
11.76 (4.6,29.8)
22.02 (8.8,55.1)
29.34(12.5,69.1)
41.68 (12.1,143.3)
69.77 (12.5,389.9)
Race/Ethnicity2







Mexican American
2.28 (1.3,4.1)
5.72 (3.4,9.6)
10.97 (7.2,16.6)
18.15 (12.5,26.4)
24.28 (16.6,35.6)
28.14(19.4,40.9)
37.76 (24.4,58.5)
Other Hispanic
2.07 (0.9,4.7)
4.85 (2.7,8.6)
9.37 (5.9,14.8)
15.63 (10.2,24.0)
20.56(13.3,31.8)
24.58(15.7,38.5)
36.12 (21.8,59.8)
Non-Hispanic White
2.00(1.1,3.5)
4.43 (3.1,6.4)
8.39 (6.3,11.3)
14.35 (10.8,19.1)
18.95 (13.9,25.9)
22.41(16.0,31.5)
30.02 (19.8,45.6)
Non-Hispanic Black
3.14(1.9,5.1)
6.79 (4.7,9.8)
12.07 (9.4,15.5)
19.04(14.4,25.1)
24.13 (17.3,33.7)
28.36(19.9,40.4)
36.54(23.5,56.8)
Other race
6.37 (2.7,14.9)
13.28 (6.5,27.0)
23.44(12.7,43.3)
32.88 (23.2,46.6)
40.42 (28.7,56.9)
45.90(30.5,69.0)
61.43 (36.3,104.0)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
38

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983	Table 12b. UFCR Estimates (g/day): Total Trophic Level 3 Fish, Adults, 21 years and older, by geography
984
Trophic Level 3 Fish
Adults >21 years old



Percen tiles(95 % CI)



25th
50th
75th
90th
95th
97th
99th
All Adults
2.21 (1.3,3.8)
5.02 (3.5,7.2)
9.82 (7.5,12.9)
17.02 (13.1,22.0)
22.69i
(17.4,29.6)
26.67 (20.1,35.3)
37.12 (27.0,51.1)
Region1








Midwest
1.55 (0.7,3.3)
3.35 (2.0,5.7)
6.27 (4.3,9.1)
10.74 (7.6,15.2)
14.07 (9.9,19.9)
16.94(11.8,24.2)
24.63 (16.6,36.5)
Northeast
2.44(1.5,4.0)
5.90 (4.0,8.6)
11.65 (8.3,16.3)
19.33 (13.9,26.9)
24.83 i
(18.0,34.3)
29.33 (20.6,41.8)
37.92 (25.5,56.3)
South
2.66(1.5,4.7)
5.88 (3.9,8.8)
11.04(8.2,14.9)
18.20(13.8,23.9)
23.72i
(17.8,31.6)
27.66(19.9,38.4)
37.85 (26.3,54.5)
West
2.64(1.6,4.4)
5.63 (3.8,8.4)
10.83 (7.6,15.4)
19.16(13.3,27.6)
25.51i
(17.7,36.7)
30.24(21.4,42.8)
41.95 (28.2,62.5)
Coastal Status








Noncoastal
1.96(1.1,3.6)
4.55 (2.8,7.3)
8.97 (6.2,12.9)
15.56(11.0,22.0)
20.67i
(14.8,28.8)
24.60(17.6,34.3)
33.97 (23.4,49.4)
Coastal
2.70(1.8,4.1)
5.86(4.1,8.3)
11.17 (8.0,15.6)
19.04(13.9,26.0)
25.37i
(18.6,34.7)
29.79 (20.9,42.5)
40.94(27.5,60.9)
Coastal/Inland Region2








Pacific
2.35 (1.4,4.0)
5.12 (3.1,8.4)
9.73 (5.7,16.5)
18.49 (12.5,27.4)
25.82i
(17.7,37.6)
30.79 (20.8,45.6)
43.67 (27.1,70.3)
Atlantic
3.14(1.8,5.5)
6.51 (3.9,10.8)
11.72 (7.0,19.6)
18.87 (11.3,31.5)
24.52 i
(14.7,41.0)
28.52 (16.5,49.3)
39.36(24.6,62.9)
Gulf of Mexico
4.02 (1.8,9.1)
8.79 (5.1,15.2)
16.11 (10.8,23.9)
24.16(16.5,35.3)
29.80i
(18.1,49.2)
34.07 (18.8,61.8)
47.32 (24.9,89.8)
Great Lakes
1.90(1.1,3.3)
4.12 (2.7,6.3)
7.82 (5.2,11.7)
13.36(9.1,19.6)
17.73 i
(11.8,26.5)
21.67 (14.5,32.4)
30.62 (19.4,48.4)
Inland Northeast
1.90(1.0,3.7)
5.09 (2.9,8.8)
10.79 (6.6,17.6)
18.60(11.3,30.7)
23.55i
(15.2,36.6)
27.77 (17.8,43.2)
36.80(23.2,58.4)
Inland Midwest
1.47 (0.6,3.6)
3.18 (1.6,6.3)
5.86(3.6,9.5)
10.03 (6.4,15.7)
12.96 (8.8,19.2)
15.52 (10.4,23.1)
20.92 (13.3,32.9)
Inland South
2.28 (1.2,4.3)
5.32 (3.1,9.1)
9.91 (6.6,14.8)
16.58 (11.3,24.2)
21.65i
(15.0,31.2)
25.13 (17.8,35.5)
33.97 (23.1,49.9)
Inland West
3.03 (1.3,7.0)
6.26(3.3,11.9)
11.90(6.6,21.5)
19.51 (11.4,33.4)
25.07 i
(15.2,41.3)
29.34(18.2,47.4)
39.19 (24.2,63.6)
'ฆUS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
39

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986	Table 13a. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21 years and older, by demographics
987
Trophic Level 4 Fish



PercentHesf95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
2.69 (1.6,4.5)
6.08 (4.4,8.4)
11.63 (8.7,15.6)
19.63 (14.5,26.6)
26.23 (19.2,35.9)
31.73 (23.5,42.9)
43.40 (31.4,60.1)
Gender







Female
2.42 (1.4,4.1)
5.62 (4.1,7.7)
10.70 (8.1,14.1)
18.01 (13.5,24.1)
23.95 (17.6,32.6)
28.46(20.5,39.5)
38.42 (26.7,55.4)
Male
3.08 (1.9,5.0)
6.82 (4.8,9.7)
12.87 (9.3,17.9)
21.74(15.7,30.1)
29.35 (21.7,39.6)
35.30(26.3,47.5)
48.37 (35.2,66.5)
Age







21 to <35 yrs
1.77 (0.8,4.0)
4.64(2.8,7.8)
9.56(6.8,13.4)
16.73 (12.2,22.9)
22.95 (16.3,32.4)
28.02 (19.7,39.9)
39.63 (26.6,59.1)
35 to <50 yrs
2.61 (1.7,3.9)
5.74(4.2,7.9)
10.61 (7.7,14.6)
17.67 (12.7,24.6)
23.41 (16.6,32.9)
27.63 (19.1,39.9)
37.01 (24.2,56.6)
50 to <65 yrs
4.47 (2.5,8.0)
8.87 (6.0,13.1)
16.09 (11.6,22.3)
26.03 (18.6,36.4)
34.47 (24.1,49.2)
40.32 (28.3,57.5)
56.32 (36.7,86.3)
65+ yrs
2.98 (1.8,4.9)
6.18 (3.8,10.1)
11.23 (6.7,18.9)
17.96(9.9,32.5)
23.89 (13.5,42.4)
27.89 (14.8,52.5)
38.31 (20.9,70.3)
Women of Childbearing Age1
1.45 (0.8,2.6)
4.20(2.9,6.2)
8.71 (6.7,11.4)
15.23 (11.5,20.1)
20.45 (15.1,27.7)
24.65 (18.0,33.8)
34.24(24.2,48.5)
Income







<$20,000
1.64(0.9,3.0)
4.64(3.1,6.9)
9.11 (6.8,12.2)
16.59 (12.5,22.0)
23.30(17.1,31.8)
28.73 (20.4,40.5)
40.04(27.5,58.3)
$20k-$45k
2.28 (1.4,3.8)
5.18 (3.6,7.5)
9.99 (6.9,14.4)
16.71 (11.0,25.4)
22.41 (14.2,35.5)
27.32 (17.5,42.6)
38.85 (25.4,59.5)
$45k-$75k
2.52 (1.6,4.1)
5.70(3.8,8.5)
11.14 (7.7,16.2)
19.18 (13.4,27.5)
25.60(17.6,37.2)
30.66(21.4,44.0)
41.07 (27.1,62.3)
$75k+
3.83 (2.4,6.0)
7.91 (5.7,10.9)
14.26(10.7,19.0)
22.95 (17.0,31.0)
29.83 (21.8,40.8)
35.16(25.4,48.6)
46.33 (31.4,68.3)
>$20,000
2.96(1.5,5.9)
6.56(3.9,11.1)
11.94 (7.5,19.0)
19.89 (12.5,31.7)
29.27 (15.8,54.2)
36.32 (18.1,73.0)
45.96(25.4,83.0)
Inc Ref/DK
2.85 (0.8,9.9)
6.99 (2.8,17.4)
12.35 (6.9,22.1)
19.02 (12.3,29.5)
24.89 (15.7,39.6)
29.29 (18.3,46.8)
40.91 (23.0,72.7)
Inc missing
3.06(0.4,21.1)
7.48 (2.0,28.6)
15.70 (5.1,48.3)
26.67 (10.5,67.7)
39.22 (14.8,104.1)
46.62 (18.1,119.8)
55.32 (27.3,112.1)
Race/Ethnicity2







Mexican American
1.97 (0.9,4.2)
5.19 (2.9,9.2)
10.02 (6.5,15.3)
16.76(11.8,23.9)
22.56(16.2,31.5)
27.40(19.4,38.7)
37.40 (25.0,55.9)
Other Hispanic
2.14(1.1,4.3)
5.17 (3.1,8.6)
10.39 (6.6,16.4)
17.90(11.9,26.9)
24.93 (16.2,38.3)
28.71 (19.2,43.0)
41.70(27.4,63.6)
Non-Hispanic White
2.69 (1.7,4.4)
6.00 (4.3,8.4)
11.41 (8.2,15.9)
19.18 (13.5,27.3)
25.50(17.8,36.6)
30.90(22.1,43.2)
41.54(28.7,60.2)
Non-Hispanic Black
2.74(1.4,5.4)
6.20 (4.1,9.3)
11.74 (8.6,16.0)
19.38 (14.4,26.1)
26.00(19.3,35.0)
31.26(23.3,41.9)
42.03 (30.6,57.8)
Other race
4.90(2.9,8.2)
10.34 (7.0,15.4)
18.35 (13.3,25.3)
28.73 (20.5,40.3)
38.34(27.1,54.2)
47.20(33.9,65.7)
62.93 (41.8,94.8)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
40

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989	Table 13b. UFCR Estimates (g/day): Total Trophic Level 4 Fish, Adults, 21 years and older, by geography
990
Trophic Level 4 Fish
Adults >21 years old



Percentilesf95% CI)



25th
50th
75th
90th
95th
97th
99th
All Adults
2.69 (1.6,4.5)
6.08 (4.4,8.4)
11.63 (8.7,15.6)
19.63
14.5,26.6)
26.23
19.2,35.9)
31.73 (23.5,42.9)
43.40(31.4,60.1)
Region1









Midwest
2.16(1.2,4.0)
4.88 (3.1,7.7)
9.64(6.4,14.5)
16.11
10.4,24.9)
21.45
13.5,34.2)
25.88 (16.3,41.1)
37.87(25.8,55.6)
Northeast
3.04(1.8,5.2)
7.36(5.1,10.7)
(10.0,19.8)
23.38
16.7,32.7)
30.50(21.5,43.4)
35.31 (24.3,51.3)
46.24(29.8,71.7)
South
2.52 (1.5,4.2)
5.76(4.1,8.1)
10.91 (8.3,14.3)
19.04
14.6,24.8)
25.85
19.6,34.1)
32.13 (24.0,43.0)
46.62(33.2,65.4)
West
3.56(2.1,6.1)
7.39 (5.2,10.4)
13.25 (9.6,18.2)
21.39
15.2,30.0)
27.43
18.8,40.1)
32.29 (21.8,47.9)
42.71(27.7,65.9)
Coastal Status









Noncoastal
2.72 (1.4,5.4)
6.10 (4.1,9.1)
11.44(8.4,15.6)
19.13
14.1,25.9)
24.99
18.0,34.6)
30.21 (21.9,41.7)
40.58(28.4,57.9)
Coastal
2.66(1.7,4.2)
6.05 (3.9,9.4)
12.01 (7.9,18.1)
20.67
13.7,31.1)
28.09
19.1,41.4)
34.18 (23.9,48.9)
47.20(32.8,67.9)
Coastal/Inland Region2









Pacific
2.99 (1.8,5.1)
6.51 (4.1,10.3)
11.93 (7.6,18.7)
19.17
11.6,31.8)
25.40
15.8,40.7)
29.54(17.7,49.2)
38.63 (22.3,66.8)
Atlantic
2.91 (1.4,6.1)
6.53 (3.5,12.0)
12.78 (7.5,21.7)
20.93
11.9,36.7)
28.04
16.7,47.0)
33.54(20.4,55.1)
45.05(27.6,73.6)
Gulf of Mexico
2.13 (1.0,4.4)
5.07 (3.0,8.6)
11.72 (6.9,19.9)
26.29
12.1,57.0)
38.78
17.2,87.3)
49.62 (22.8,108.1)
69.59 (35.2,137.8)
Great Lakes
1.91 (1.0,3.8)
4.56(2.3,8.9)
10.03 (5.6,17.9)
18.66
11.2,30.9)
26.34
16.8,41.4)
33.10(22.4,48.9)
44.20(29.3,66.6)
Inland Northeast
2.85 (1.3,6.2)
7.42 (4.3,12.7)
14.49 (9.1,23.1)
23.82
15.2,37.4)
30.73
19.6,48.2)
35.34 (23.0,54.4)
44.41(27.3,72.2)
Inland Midwest
2.26(1.1,4.8)
4.93 (3.0,8.1)
9.51 (6.2,14.5)
15.39
10.2,23.2)
20.20
13.1,31.2)
24.30(15.8,37.3)
33.77(22.1,51.5)
Inland South
2.55 (1.1,5.8)
5.79 (3.5,9.7)
10.43 (7.7,14.2)
17.23
13.1,22.7)
22.87
17.3,30.3)
27.11 (20.2,36.4)
37.64(27.0,52.5)
Inland West
4.25 (1.8,10.0)
8.39 (5.0,14.1)
14.70 (9.6,22.6)
22.98
15.3,34.5)
29.70
19.7,44.7)
35.24(23.0,53.9)
47.41(30.2,74.4)
'ฆUS Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC,
VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
41

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992	Table 14a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 2 Fish, Adults, 21 years and older, by demographics
993
Trophic Level 2 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.59 (0.3,1.1)
1.66(1.0,2.7)
4.07(2.9,5.8)
8.23 (6.1,11.1)
12.08 (8.8,16.6)
15.25 (10.9,21.4)
22.56 (15.2,33.4)
Gender







Female
0.51(0.3,0.9)
1.44 (0.9,2.3)
3.46(2.4,5.0)
6.87(5.0,9.4)
10.17(7.3,14.3)
12.79 (8.9,18.4)
19.30 (12.1,30.9)
Male
0.72(0.4,1.5)
2.03(1.2,3.4)
4.87(3.3,7.3)
9.79 (7.0,13.6)
14.42(10.3,20.3)
17.55 (12.6,24.4)
26.51 (17.1,41.2)
Age
21 to <35 yrs
0.52(0.3,1.0)
1.59 (1.0,2.6)
4.05 (2.6,6.2)
8.21 (5.6,12.1)
11.96(8.2,17.4)
14.88(10.4,21.3)
21.37 (15.3,29.9)
35 to <50 yrs
0.66(0.3,1.3)
1.87(1.1,3.1)
4.52(3.0,6.8)
9.01 (6.2,13.2)
13.82(8.7,22.0)
17.48(10.5,29.0)
26.20 (14.0,48.9)
50 to <65 yrs
0.66(0.3,1.6)
1.76(0.9,3.5)
4.15 (2.5,6.9)
8.36 (5.7,12.2)
11.88 (8.2,17.2)
14.39 (9.9,20.8)
20.11 (13.7,29.4)
65+ yrs
0.47(0.2,1.0)
1.29 (0.7,2.3)
3.14(2.0,4.8)
6.45 (4.6,9.0)
9.44 (6.9,12.9)
11.99 (8.8,16.4)
18.19 (12.6,26.4)
Women of Childbearing Age1
0.38 (0.2,0.7)
1.23(0.8,2.0)
3.22(2.2,4.8)
6.51(4.6,9.1)
9.75 (6.7,14.2)
12.43 (8.2,18.8)
18.56 (11.7,29.4)
Income







<$20,000
0.40 (0.2,0.8)
1.26(0.7,2.2)
3.27(2.1,5.0)
6.68 (4.6,9.7)
10.42(7.5,14.5)
13.28 (9.4,18.8)
18.46 (12.4,27.6)
$20k-$45k
0.52(0.3,1.0)
1.45 (0.9,2.4)
3.66(2.5,5.4)
7.57 (5.3,10.8)
11.27(7.6,16.7)
14.11 (9.7,20.5)
21.32 (13.8,32.9)
$45k-$75k
0.61(0.3,1.2)
1.72(1.0,3.0)
4.20(2.6,6.7)
8.67 (5.4,13.9)
12.49 (7.9,19.6)
16.00 (9.7,26.4)
22.80 (14.3,36.5)
$75k+
0.74 (0.3,1.8)
1.97(1.0,3.8)
4.59 (2.8,7.5)
8.95 (6.0,13.3)
13.19 (9.3,18.8)
16.95 (11.6,24.8)
24.64 (15.3,39.6)
>$20,000
0.81(0.3,1.9)
1.88 (0.8,4.2)
4.43(2.2,9.0)
9.04 (4.7,17.5)
13.08(6.6,26.0)
15.69 (8.1,30.5)
25.94 (9.6,70.0)
Inc Ref/DK
0.72(0.3,1.5)
2.07(1.1,4.0)
5.08 (2.6,10.1)
9.55 (4.9,18.6)
13.65 (7.0,26.7)
15.92 (8.7,29.1)
23.16 (12.0,44.7)
Inc missing
0.32(0.1,1.5)
1.56(0.3,8.1)
4.08 (0.8,20.8)
7.72 (1.8,33.0)
11.16(2.5,50.1)
11.86 (3.9,36.5)
14.22 (5.5,37.1)
Race/Ethnicity2







Mexican American
0.86(0.4,1.7)
2.45 (1.4,4.3)
5.70(3.6,9.1)
11.39 (8.0,16.2)
16.28(11.6,22.9)
20.68(14.7,29.0)
30.29 (20.2,45.5)
Other Hispanic
1.02(0.5,2.2)
2.67(1.5,4.8)
6.29 (3.6,11.1)
11.80(6.8,20.3)
17.67(8.5,36.7)
21.46(10.5,43.7)
30.05 (15.0,60.3)
White
0.50(0.2,1.0)
1.40 (0.8,2.5)
3.40(2.2,5.1)
6.86(4.9,9.6)
10.16(7.4,13.9)
12.80 (9.3,17.7)
18.67 (13.3,26.1)
Black
0.74 (0.4,1.5)
2.00(1.2,3.5)
4.56(2.9,7.1)
8.64 (5.8,12.8)
12.45 (8.8,17.6)
15.60(11.2,21.8)
21.65 (14.6,32.0)
Other race
1.48 (0.7,3.3)
3.66(1.7,7.8)
7.55 (3.9,14.8)
14.86(5.8,38.1)
19.80(7.9,49.9)
24.47 (9.0,66.6)
36.74 (9.7,139.5)
1 Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic
white, non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
42

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995	Table 14b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 2 Fish, Adults, 21 years and older, by geography
996
Trophic Level 2 FW+Est Fish



Percentiles (95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.59 (0.3,1.1)
1.66 (1.0,2.7)
4.07(2.9,5.8)
8.23 (6.1,11.1)
12.08 (8.8,16.6)
15.25 (10.9,21.4)
22.56(15.2,33.4)
Region1







Midwest
0.32(0.1,0.9)
0.87 (0.3,2.2)
2.17(1.1,4.3)
4.40(2.4,8.1)
6.70 (3.9,11.4)
8.62 (5.2,14.3)
12.97(7.6,22.1)
Northeast
0.94 (0.6,1.6)
2.51 (1.6,3.8)
5.61(4.0,7.9)
10.70(7.5,15.2)
14.86(10.3,21.5)
18.23(12.5,26.5)
26.51(16.8,41.9)
South
0.76(0.4,1.5)
2.09 (1.2,3.6)
4.80(3.1,7.4)
9.47 (6.5,13.8)
13.76(9.3,20.5)
16.81(11.5,24.6)
24.79 (15.6,39.3)
West
0.68 (0.3,1.4)
1.82 (1.0,3.3)
4.18(2.5,6.9)
8.39 (5.1,13.7)
12.01(7.2,20.1)
15.18 (8.7,26.5)
22.90(11.6,45.4)
Coastal Status







Noncoastal
0.47(0.2,0.9)
1.36 (0.8,2.2)
3.38(2.4,4.8)
6.99 (5.1,9.6)
10.69 (7.4,15.5)
13.50 (9.1,20.1)
20.73(12.7,33.8)
Coastal
0.86(0.4,1.8)
2.29 (1.3,4.1)
5.09 (3.2,8.2)
9.73 (6.7,14.2)
14.09 (9.9,20.1)
17.09 (12.1,24.2)
24.90(16.7,37.1)
Coastal/Inland Region2







Pacific
0.84 (0.4,1.9)
2.24 (1.1,4.5)
4.96(2.7,9.1)
9.38 (5.3,16.7)
13.77(7.3,26.0)
16.70 (8.9,31.2)
26.68(10.5,68.1)
Atlantic
0.84 (0.3,2.6)
2.19 (0.9,5.2)
4.69 (2.2,10.2)
8.65 (4.4,17.1)
12.44(7.1,21.9)
15.68 (9.7,25.4)
22.00(13.6,35.6)
Gulf of Mexico
1.72(0.6,5.2)
4.28(1.8,10.3)
8.71 (4.4,17.3)
15.08 (8.4,26.9)
19.41(11.5,32.8)
22.47(13.8,36.5)
30.53(18.9,49.3)
Great Lakes
0.60 (0.3,1.3)
1.57 (0.8,3.0)
3.47(2.0,6.1)
7.08 (4.3,11.6)
10.14(6.1,16.9)
12.55 (7.4,21.4)
19.78 (9.6,40.6)
Inland Northeast
0.93(0.5,1.8)
2.63 (1.5,4.6)
6.14 (3.5,10.8)
11.79 (6.2,22.3)
15.92(8.8,28.8)
19.70(10.6,36.7)
29.62(13.7,64.2)
Inland Midwest
0.28 (0.1,0.8)
0.75 (0.3,1.9)
1.83(0.8,3.9)
3.64(1.7,7.6)
5.50 (2.8,10.7)
7.04 (3.7,13.5)
11.20(6.0,20.9)
Inland South
0.63(0.3,1.3)
1.73 (1.0,3.1)
4.07(2.5,6.7)
8.11 (4.8,13.8)
11.72(6.7,20.4)
14.81 (8.2,26.8)
22.44(11.1,45.5)
Inland West
0.59 (0.3,1.3)
1.50 (0.8,2.9)
3.39 (2.0,5.9)
6.61 (4.1,10.6)
10.37(6.3,17.0)
12.96 (7.8,21.5)
18.56(11.0,31.2)
!US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, I A, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
997
43

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998	Table 15a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 3 Fish, Adults, 21 years and older, by demographics
999
Trophic Level 3 FW+Est Fish
Adults >21 years old



Percentiles (95% CI)


25th
50th
75th
90th
95th
97th
99th
All Adults
0.87(0.5,1.7)
2.24 (1.3,3.7)
5.06(3.6,7.1)
9.51 (7.0,13.0)
13.78 (9.5,20.1)
17.31(11.1,27.0)
25.10(14.9,42.2)
Gender







Female
0.73(0.4,1.5)
1.87 (1.1,3.3)
4.18(2.8,6.2)
7.77 (5.5,11.0)
10.90(7.7,15.5)
13.77 (9.4,20.2)
19.84(12.5,31.4)
Male
1.13(0.6,2.1)
2.86 (1.9,4.4)
6.30 (4.6,8.6)
11.83 (8.3,17.0)
16.88(10.6,26.8)
20.52(12.6,33.4)
29.34(16.5,52.3)
Age
21 to <35 yrs
0.77(0.5,1.2)
2.08 (1.4,3.0)
4.95 (3.4,7.1)
9.43 (6.2,14.4)
13.88 (8.1,23.7)
17.63 (9.5,32.7)
25.99 (13.4,50.4)
35 to <50 yrs
0.88 (0.4,1.9)
2.20 (1.1,4.2)
5.00(3.2,7.8)
9.34 (6.3,13.8)
13.30 (8.9,19.8)
16.75 (11.0,25.5)
23.34(14.8,36.8)
50 to <65 yrs
1.20 (0.6,2.5)
2.87 (1.7,4.9)
5.98(4.0,8.9)
11.08(7.7,16.0)
15.75 (10.0,24.8)
19.30(11.6,32.0)
28.05 (14.7,53.6)
65+ yrs
0.71(0.3,1.8)
1.78 (0.9,3.7)
4.01(2.5,6.5)
7.53 (5.1,11.2)
10.80(7.4,15.7)
13.68 (9.3,20.0)
20.24(12.5,32.8)
Women of Childbearing Age1
0.52(0.3,1.0)
1.56 (1.0,2.6)
3.69 (2.6,5.3)
7.24 (5.2,10.1)
10.41(7.3,14.8)
12.89 (8.7,19.0)
19.19 (12.0,30.7)
Income







<$20,000
0.78 (0.4,1.3)
2.11 (1.3,3.5)
5.04(3.6,7.0)
9.96 (7.3,13.6)
14.80 (9.7,22.7)
18.28(11.6,28.9)
28.09 (14.5,54.3)
$20k-$45k
0.73(0.4,1.4)
1.90 (1.1,3.1)
4.31(3.0,6.2)
8.08 (5.7,11.5)
11.47(7.9,16.7)
14.45 (9.5,22.1)
20.96(13.3,32.9)
$45k-$75k
0.81(0.4,1.6)
2.16 (1.3,3.5)
4.97(3.4,7.2)
9.25 (6.3,13.5)
13.20 (8.6,20.3)
16.37(10.2,26.4)
22.88(13.9,37.7)
$75k+
1.09 (0.4,2.8)
2.59 (1.3,5.3)
5.45 (3.2,9.2)
10.36(7.3,14.8)
14.53(10.0,21.2)
18.44(11.9,28.5)
27.05 (15.4,47.5)
>$20,000
0.86(0.4,1.9)
2.14 (1.0,4.5)
4.91 (1.9,12.7)
9.23 (2.9,29.3)
11.96(4.1,35.2)
15.82 (4.0,62.0)
22.55 (5.2,97.4)
Inc Ref/DK
1.26(0.6,2.8)
3.55 (1.5,8.5)
7.58 (3.2,18.0)
12.57(5.9,26.8)
17.92(7.5,43.1)
21.03 (8.6,51.2)
26.92(11.4,63.8)
Inc missing
1.76(0.3,9.9)
4.00(1.2,13.7)
9.49 (2.6,35.0)
16.15 (4.9,53.1)
22.63(6.4,80.3)
28.43(7.4,108.7)
34.26(12.3,95.6)
Race/Ethnicity2







Mexican American
1.00 (0.5,1.9)
2.69 (1.6,4.5)
5.80(3.8,8.9)
10.67(7.3,15.6)
15.01(10.2,22.0)
18.15 (11.9,27.6)
27.04(16.5,44.2)
Other Hispanic
1.20 (0.6,2.3)
2.87 (1.6,5.0)
6.19 (3.8,10.2)
10.70(6.6,17.4)
14.69 (8.7,24.8)
18.39 (10.1,33.5)
25.99 (12.8,52.7)
White
0.75 (0.4,1.5)
1.86 (1.0,3.4)
4.12(2.7,6.2)
7.69 (5.4,11.0)
10.83(7.6,15.5)
13.91(9.1,21.2)
20.39 (12.3,33.8)
Black
1.38 (0.7,2.7)
3.36 (2.1,5.5)
6.82 (4.7,10.0)
12.17 (8.7,16.9)
16.85 (11.9,23.9)
20.27(13.8,29.7)
29.04(18.0,46.9)
Other race
3.07(1.8,5.4)
6.35 (4.0,10.1)
12.01(6.9,20.8)
19.39 (10.4,36.3)
26.51(11.8,59.4)
29.82(14.7,60.5)
44.69 (14.3,139.4)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise, self-
identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white, non-
Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
44

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001	Table 15b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 3 Fish, Adults, 21 years and older, by geography
002
Trophic Level 3 FW+Est Fish



Percentiles (95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.87(0.5,1.7)
2.24(1.3,3.7)
5.06 (3.6,7.1)
9.51(7.0,13.0)
13.78 (9.5,20.1)
17.31(11.1,27.0)
25.10 (14.9,42.2)
Region1







Midwest
0.54 (0.3,1.2)
1.37(0.7,2.6)
3.05 (1.9,4.9)
5.73 (3.8,8.7)
8.44 (5.4,13.1)
10.73 (6.5,17.8)
15.82 (8.9,28.2)
Northeast
1.02(0.5,2.2)
2.60(1.4,4.7)
5.54 (3.7,8.4)
10.70(7.3,15.8)
15.01 (9.0,24.9)
17.92(10.6,30.4)
24.92 (13.7,45.5)
South
1.16(0.7,2.1)
2.86(1.8,4.7)
6.36 (4.5,9.0)
11.89 (8.4,16.9)
17.04(11.2,25.8)
21.18(13.3,33.9)
30.86 (17.3,55.1)
West
1.00 (0.5,2.1)
2.42(1.4,4.3)
5.14 (3.3,8.0)
8.97(5.7,14.2)
12.60 (7.7,20.5)
15.39 (9.1,26.1)
21.43 (11.5,39.8)
Coastal Status







Noncoastal
0.72(0.4,1.4)
1.85 (1.1,3.2)
4.15 (2.9,6.0)
7.93(5.6,11.1)
11.29 (7.6,16.8)
14.08 (8.8,22.5)
20.71 (11.6,37.1)
Coastal
1.24 (0.6,2.6)
3.08(1.8,5.2)
6.56 (4.5,9.6)
11.97(8.6,16.6)
17.10(11.7,25.0)
20.70(13.8,31.1)
29.55 (18.0,48.6)
Coastal/Inland Region2







Pacific
1.07(0.5,2.4)
2.66(1.4,5.1)
5.52 (3.1,9.8)
9.67(5.6,16.7)
13.01 (7.4,22.9)
16.60 (8.9,30.8)
22.27 (11.5,43.2)
Atlantic
1.34 (0.5,3.7)
3.09 (1.4,7.0)
6.39 (3.5,11.6)
11.67(7.7,17.8)
16.27(10.6,24.9)
19.93(12.4,32.1)
27.66 (15.3,50.0)
Gulf of Mexico
2.76(1.1,7.2)
6.54(3.4,12.7)
12.33(7.3,20.9)
20.44(13.0,32.2)
27.82(17.2,45.1)
33.74(19.0,59.9)
46.12 (21.8,97.7)
Great Lakes
0.85 (0.3,2.1)
2.12(1.1,4.1)
4.37 (2.6,7.3)
8.23(5.0,13.4)
11.40 (6.6,19.6)
13.57 (8.1,22.7)
19.78 (10.4,37.6)
Inland Northeast
0.77(0.3,2.2)
2.05 (0.8,5.0)
4.58 (2.6,8.1)
8.86(6.1,12.9)
13.07 (8.0,21.3)
15.78 (9.2,27.1)
22.37 (11.6,43.2)
Inland Midwest
0.49 (0.2,1.0)
1.21(0.7,2.2)
2.75 (1.8,4.3)
5.16 (3.3,8.1)
7.34 (4.5,11.9)
9.52 (5.2,17.4)
14.24(6.9,29.5)
Inland South
0.95 (0.6,1.6)
2.41(1.6,3.6)
5.21 (3.7,7.3)
9.34(6.5,13.5)
13.31 (8.3,21.2)
16.48 (9.5,28.5)
25.89 (10.9,61.5)
Inland West
0.94 (0.4,2.2)
2.22(1.1,4.3)
4.74 (2.9,7.7)
8.39 (5.1,13.7)
11.90 (6.9,20.6)
14.83 (8.0,27.5)
20.49 (10.2,41.0)
!US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, I A, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD, DC, VA,
WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did not
directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census Regions.
003
45

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004	Table 16a. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 4 Fish, Adults, 21 years and older, by demographics
005
Trophic Level 4 FW+Est Fish



Percentiles (95% CI)


Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.26(0.1,0.5)
0.80 (0.4,1.5)
2.16 (1.3,3.7)
4.97 (3.1,8.1)
8.19 (5.3,12.7)
11.53(7.7,17.3)
20.71(13.2,32.4)
Gender







Female
0.21(0.1,0.4)
0.64 (0.3,1.2)
1.71 (1.0,3.1)
3.91 (2.3,6.8)
6.29 (3.7,10.7)
8.52(4.9,14.7)
15.45 (9.3,25.7)
Male
0.35 (0.2,0.7)
1.08 (0.6,2.0)
2.83 (1.7,4.7)
6.44 (4.1,10.1)
10.56 (7.0,16.0)
14.81(9.7,22.6)
27.06(15.8,46.3)
Age







21 to <35 yrs
0.19 (0.1,0.4)
0.59 (0.3,1.0)
1.69 (1.1,2.7)
4.21 (2.7,6.5)
7.01 (4.5,10.9)
10.19 (6.2,16.8)
18.43(10.4,32.8)
35 to <50 yrs
0.22(0.1,0.5)
0.69 (0.3,1.4)
1.78 (0.9,3.7)
4.19 (2.2,7.8)
6.69 (3.6,12.6)
9.28 (5.2,16.5)
16.62 (9.5,29.0)
50 to <65 yrs
0.48 (0.2,1.0)
1.28 (0.7,2.4)
3.26 (2.0,5.4)
7.09 (4.4,11.3)
11.79 (7.3,18.9)
15.98 (9.6,26.7)
26.88(15.5,46.7)
65+ yrs
0.32(0.1,0.8)
0.91(0.4,2.1)
2.33 (1.1,4.9)
5.05 (2.5,10.3)
7.89 (3.8,16.3)
10.66 (5.2,21.7)
19.39 (10.7,35.2)
Women of Childbearing Age1
0.12(0.1,0.2)
0.42(0.2,0.8)
1.23 (0.7,2.2)
2.91 (1.6,5.3)
4.72 (2.5,8.8)
6.48(3.5,12.1)
11.63 (6.0,22.6)
Income







<$20,000
0.26(0.1,0.5)
0.85 (0.5,1.5)
2.43 (1.5,3.8)
5.74 (3.8,8.7)
9.57 (6.1,15.0)
12.71(8.2,19.7)
21.80(13.5,35.1)
$20k-$45k
0.22(0.1,0.5)
0.67(0.3,1.6)
1.79 (0.7,4.3)
4.16 (1.8,9.5)
6.55 (2.7,16.1)
9.09 (3.9,20.9)
17.92 (9.9,32.6)
$45k-$75k
0.20 (0.1,0.5)
0.67(0.3,1.3)
1.77 (0.9,3.5)
4.07 (2.1,7.8)
6.45 (3.3,12.6)
9.02(5.0,16.3)
16.20 (9.1,29.0)
$75k+
0.34 (0.2,0.7)
0.99 (0.5,1.8)
2.55 (1.5,4.2)
6.01 (4.0,9.1)
9.48 (6.2,14.6)
13.59 (8.4,22.1)
23.79 (13.3,42.7)
>$20,000
0.29 (0.1,0.8)
0.90(0.4,2.2)
2.60 (1.1,6.2)
5.59 (2.5,12.4)
9.12 (3.8,22.1)
11.80 (4.9,28.3)
20.13 (7.7,52.3)
Inc Ref/DK
0.31(0.1,0.8)
1.03(0.5,2.2)
2.69 (1.3,5.6)
6.07 (2.9,12.6)
9.10 (3.7,22.2)
11.73 (4.5,30.5)
22.29 (9.7,51.2)
Inc missing
0.50(0.1,3.5)
1.30 (0.3,5.5)
3.65 (1.1,12.4)
9.76 (2.6,36.2)
16.46 (4.3,63.6)
23.98 (5.1,111.8)
42.98(7.5,245.0)
Race/Ethnicity2







Mexican American
0.29 (0.2,0.5)
0.87(0.5,1.5)
2.34 (1.4,4.0)
5.31 (3.0,9.5)
8.80 (5.0,15.4)
12.05 (6.9,21.0)
20.34(10.9,38.1)
Other Hispanic
0.30 (0.1,0.9)
0.87(0.3,2.2)
2.15 (0.9,5.1)
4.65 (1.9,11.4)
7.85 (3.5,17.7)
10.68 (4.8,23.6)
20.41 (8.0,51.9)
White
0.22(0.1,0.5)
0.66(0.3,1.3)
1.74 (0.9,3.2)
3.92 (2.2,6.8)
6.18 (3.6,10.6)
8.38 (5.0,14.1)
15.63(10.0,24.4)
Black
0.44 (0.2,0.9)
1.29 (0.7,2.4)
3.31 (1.9,5.8)
7.14 (4.1,12.6)
11.61 (7.2,18.8)
15.67 (9.7,25.4)
26.57(15.7,45.1)
Other race
0.91(0.4,2.0)
2.56(1.4,4.8)
6.32 (3.7,10.9)
13.80 (7.8,24.5)
19.74(10.8,36.2)
26.36 (14.0,49.6)
51.03 (20.3,128.5)
1Women 13 to 49 years
2Race/Ethnicity is as defined by NHANES. Respondents who self-identified as "Mexican American" were coded as such regardless of their other race-ethnicity identities. Otherwise,
self-identified "Hispanic" ethnicity was coded as "Other Hispanic." All other non-Hispanic participants were then categorized based on their self-reported races: non-Hispanic white,
non-Hispanic black, and other non-Hispanic race including non-Hispanic multiracial (other race).
46

-------
006
007
Table 16b. UFCR Estimates (g/day): Total Freshwater + Estuarine Trophic Level 4 Fish, Adults, 21 years and older, by geography
Trophic Level 4 FW+Est Fish	Percentiles (95% CI)
Adults >21 years old
25th
50th
75th
90th
95th
97th
99th
All Adults
0.26(0.1,0.5)
0.80(0.4,1.5)
2.16 (1.3,3.7)
4.97 (3.1,8.1)
8.19 (5.3,12.7)
11.53 (7.7,17.3)
20.71(13.2,32.4)
Region1







Midwest
0.20 (0.1,0.6)
0.61(0.2,1.6)
1.63 (0.6,4.2)
3.83 (1.7,8.9)
6.13 (2.6,14.2)
8.65 (4.1,18.2)
15.80 (7.9,31.4)
Northeast
0.21(0.1,0.5)
0.70(0.4,1.4)
1.97 (1.2,3.3)
4.53 (2.9,7.0)
6.94 (4.4,10.9)
9.53 (6.1,14.8)
19.43 (9.8,38.7)
South
0.31(0.2,0.6)
0.98(0.6,1.7)
2.58 (1.5,4.4)
6.11 (4.0,9.4)
10.15 (6.8,15.2)
14.10 (9.5,21.0)
25.87(16.6,40.4)
West
0.29 (0.1,0.6)
0.87(0.5,1.6)
2.28 (1.3,3.9)
5.21 (3.2,8.5)
8.38 (5.1,13.8)
11.36 (6.8,19.1)
18.43 (9.9,34.2)
Coastal Status







Noncoastal
0.25 (0.1,0.5)
0.77 (0.4,1.4)
2.08 (1.2,3.5)
4.74 (2.9,7.7)
7.66 (4.7,12.4)
10.61 (6.6,17.1)
19.66(11.6,33.3)
Coastal
0.28 (0.1,0.6)
0.86(0.4,1.8)
2.30 (1.2,4.4)
5.52 (3.4,9.1)
9.03 (5.8,14.1)
12.76 (8.6,18.9)
22.35 (14.6,34.3)
Coastal/Inland Region2







Pacific
0.26(0.1,0.6)
0.81(0.4,1.8)
2.18 (1.1,4.5)
5.29 (2.9,9.7)
9.05 (5.2,15.8)
12.67 (6.9,23.2)
20.66(10.9,39.0)
Atlantic
0.26(0.1,0.8)
0.80(0.3,2.1)
2.11 (0.9,5.0)
4.59 (1.9,11.0)
7.17 (2.9,17.6)
9.72 (4.1,23.0)
17.78 (9.2,34.2)
Gulf of Mexico
0.63(0.3,1.3)
1.80(0.9,3.5)
4.76 (2.8,8.1)
10.74(6.9,16.8)
16.98(10.7,26.9)
23.32(14.2,38.3)
42.52(21.3,85.0)
Great Lakes
0.20 (0.1,0.4)
0.57(0.2,1.3)
1.49 (0.7,3.4)
3.71 (2.0,6.8)
5.93 (3.2,10.9)
8.34 (4.7,14.9)
14.84 (8.1,27.1)
Inland Northeast
0.17(0.1,0.4)
0.59 (0.3,1.3)
1.68 (0.9,3.2)
3.95 (2.3,6.8)
6.15 (3.5,10.8)
8.50 (4.9,14.8)
20.29 (5.9,69.7)
Inland Midwest
0.20 (0.1,0.6)
0.62(0.2,1.9)
1.67 (0.6,4.7)
3.85 (1.5,10.2)
6.14 (2.3,16.4)
8.70 (3.6,20.9)
15.81 (6.8,36.5)
Inland South
0.31(0.2,0.5)
0.95 (0.6,1.5)
2.52 (1.7,3.8)
5.68 (3.7,8.7)
9.66 (6.2,15.1)
13.66 (8.0,23.2)
23.79 (13.6,41.6)
Inland West
0.34 (0.2,0.7)
0.93(0.5,1.8)
2.42 (1.3,4.5)
5.15 (2.8,9.4)
7.72 (4.0,15.0)
9.96 (4.9,20.4)
15.98 (6.9,37.3)
!US Regions are the U.S. Census Bureau regions. Midwest = OH, Ml, IN, Wl, IL, MO, IA, MN, SD, ND, NE, KS. Northeast = PA, NY, NJ,_CT, Rl, MA, NH, VT, ME. South = DE, MD,
DC, VA, WV, KY, TN, NC, SC, GA, AL, MS, FL, LA, AR, OK, TX. West = NM, CO, WY, MT, ID, UT, AZ, NV, CA, OR, WA, AK, HI.
2Coastal regions include counties bordering the 3 coasts (Pacific, Atlantic, and Gulf of Mexico) and the Great Lakes and estuaries and bays. Additionally, any county that did
not directly border a coast, but the central point was within 25 miles of a coast was defined as coastal. The inland regions are the remaining counties in each of the 4 Census
Regions.
47

-------
1009
1010
1011
1012
1013
1014
1015
1016
1017
I
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
5.3 Comparison of UFCR Estimates: Modified NCI Method and
NCI Method
In order to assess EPA's Modified NCI Method, we ran models using both the Modified NCI
Method and the NCI Method. We ran four models that differed by dependent variable (i.e., fish
type), population subset, and predictors. The four models are described in Table 17.
Table 17. Models used to compare UFCR Estimates from the Modified NCI Method and the NCI
Method
Model
Dependent variable
Population
Predictors
1
Total fish
Adults, >21 years
age, race, income, body weight, and



frequency offish consumption
2
FW + Est fish
Total population
Gender and frequency offish consumption
3
Marine fish
Total population
Gender and frequency offish consumption
4
Estuarine fish
Total population
Gender and frequency offish consumption
These models omitted significant predictors (e.g., coastal/inland region and interactions) which
reduce the accuracy of the estimates but speed up the process. In order to compare the variance
estimates between the two methods, we ran the total fish model for each replicate weight (i.e., 64
times) to obtain 95% confidence intervals. For the NCI Method, this took 3 days of continuous
computer time, split into 4 parts to use the full processing capacity of the computer.
Figure 1 shows the results from model 1. The points on the lower left are 50th percentiles and as
you move up toward the upper right, there are the 90th, 95th, and 99th percentiles. If the estimates
from both models were identical, the points would fall on the diagonal line. A point below the line
indicates that EPA's Modified NCI Method produced a higher estimate and a point above the line
indicates that EPA's Modified NCI Method produced a lower estimate. The differences range from
0 to 5%.
48

-------
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
ฃ
u
Estimated Usual Intake of All Fish and Shellfish (g), Adults 21+ years
~ All
ฆ Female

/ w
ฆ Male


a 21 to <35 yrs


a 35 to <50 yrs


*	50 to <65 yrs
*	65+ yrs
*	Mexican American


• ~'

iOther Hispanic
ป Non-Hispanic White
#	Non-Hispanic Black
•	Other Race
10 20 30 40 50 60 70 80 90
g fish, Westat Modified NCI Method
100
110
120
Figure 1. Estimated usual intake of total fish (g), comparison of EPA's Modified NCI
Method and NCI Method
Figure 2 shows the results from the comparison of FW+Estuarine estimates. The EPA estimates are
about 10% higher than the NCI Method estimates. The comparisons of estimates for Marine fish
(Figure 3) show no consistent difference between the two methods. Figure 4 shows the difference
between EPA's Modified NCI Method and NCI Method for Estuarine fish. As with FW+Estuarine,
EPA's estimates are about 10% higher.
49

-------
60
55
50
45
40
35
"O
ฃ 30
S
I"
Z
20
ao
15
10
5
0
Figure 2. Estimated usual intake of freshwater + estuarine fish (g), comparison of
EPA's Modified NCI Method and NCI Method
a 50 to <65 yrs
a 65+ yrs
•	Mexican American
•	Other Hispanic
•	Non-Hispanic White
•	Non-Hispanic Black
•	Other Race
0 5 10 15 20 25 30 35 40 45 50 55 60
gfish, Westat Modified NCI Method
Estimated Usual Intake of Freshwater + Estuarine Fish (g)
~ All
ฆ Female
ฆ Male
a 1 to <3 yrs
50

-------
1046
80
75
70
65
60
55
50
45
TJ
j? 40
01
5 35
u
z 30
I 25
20
15
10
5
0
Estimated Usual Intake of Marine Fish (g)
~ All
ฆ Femaie


ฆ Male


a 1 to <3 yrs

•
a 3 to <6 yrs
ฆ >-

a 6 to <11 yrs


a 11 to <16 yrs




a 16 to <18 yrs
•
/ A

a IS io <21 yrs


a 21 to <35 yrs


a 35 to <50 yrs


1	a 50 to <65 yrs


a 65+ yrs
• Mexican American
/ A
		

• Other Hispanic
ปNon-Hispanic White
~ Non-Hispanic Black
~ Other Race

20 25 30 35 40 45 50 55 60
g fish, Westat Modified NCI Method
70
Figure 3. Estimated usual intake of marine fish (g), comparison of EPA's Modified
NCI Method and NCI Method
51

-------
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
50
45
40
35
30
ฆo
1	"
CJ
2
u 20
z
JZ
(A
t, 15
10
~ All
ฆ Female
a 18 to <21 yrs
a 21 to <35 yrs
~ 35 to <50 yrs
a 50 to <65 yrs
a 65+ yrs
•	Mexican American
•	Other Hispanic
•	Non-Hispanic White
•	Non-Hispanic Black
•	Other Race
Estimated Usual Intake of Estuarine Fish (g)
20	25	30	35
g fish, Westat Modified NCI Method
Figure 4. Estimated usual intake of estuarine fish (g), comparison of EPA's Modified
NCI Method and NCI Method
The final plot, Figure 5, shows a subset of the points in Figure 1; however, with 95% CIs. The
horizontal bars are 95% CIs of EPA's Modified NCI Method estimates and the vertical bars are the
95% CIs of NCI Method estimates. It shows that even if the estimates were off by greater than 10%
they would still fall within the 95CIs of each other. In general, the confidence intervals using the
Modified NCI Method are wider than for the NCI Method.
52

-------
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
Estimated Usual Intake of All Fish and Shellfish (g), Adults 21+ years
~ 60
•	All
ฆ Female
a Male
•	21 to <35 yrs
a 35 to <50 yrs
•	50 to <65 yrs
a 65+ yrs
40 50 60 70 80 90 100 110 120 130 140 150
gfish, Westat Modified NCI Method
Figure 5. Estimated usual intake of total fish (g), comparison of EPA's Modified NCI
Method and NCI Method with 95% GIs
There is a trade-off in the estimation. In order to get results from the NCI Method within a
reasonable time, we would have had to use far fewer predictors in the modeling and possibly fit an
uncorrelated model. Given the differences observed between EPA's Modified NCI Method and the
NCI Method, we feel that using the Modified NCI method is a better compromise than fitting a
gready simplified model using the NCI method.
5.4 Uncertainty
5.4.1 Habitat Assignments
There is some uncertainty associated with the assignment of habitats to reported fish consumption.
When the raw data are processed by NHANES, fish species reported consumed are combined.
Generally, these groupings are based on taxonomic groups. This grouping of species complicates the
assignment of habitat because in some cases, the grouped fish can inhabit different habitats and
there is no way to determine the exact species the participant consumed. For some species,
53

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1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
l|l 18
1119
1120
1121
1122
apportioning relied on NOAA landings data to assign species of fish groups with many species (e.g.,
clams) to habitats.
5.4.2 NCI Method
The variance or confidence interval is generally larger when using the Modified NCI Method (or the
full NCI Method) than when directly estimating using the 24-hour recall amounts. This difference is
due, in part, to uncertainty in estimation of the relative magnitude of the within- and between-
person variance components used in the model for the NCI method.
Measurements of usual fish consumption are very difficult to obtain. Since usual fish consumption is
a long-term average, we would need many 24-hour recalls over a long time to approximate what
"usual intake" is trying to assess, thus we rely on a statistical model and associated assumptions to
estimate usual intake.
The model makes certain assumptions, such as, 24-hour recalls provide unbiased estimates of fish
consumption, all respondents are fish consumers (at least occasionally), and the distribution of fish
consumption among those reporting consumption in a 24-hour recall is normally distributed for
some power transformation. The validity of these assumptions can be discussed and, to some extent
evaluated using data.
The model also makes some assumptions to simplify the computations, such as variance
components are normally distributed, additive in the transformed scale, and linearly correlated. It is
suspected that these assumptions, compared to other model assumptions that might be made, have
relatively little effect, but it is difficult to assess as alternative assumptions are difficult to compute.
If the model assumptions are accepted as reasonable, then the question is whether the estimates
from the model are biased. The estimates are based on maximum likelihood which is generally a
good computational approach for all sample sizes. However, convergence theory says maximum
likelihood is best with large sample sizes. If the parameters are biased because the sample size is
small, the usual consumption estimates may be more likely to be an under-estimate as opposed to an
over-estimate. At the same time, we have hundreds or thousands of respondents reporting fish
consumption and we expect the estimates to have relatively little bias compared to the size of the
confidence intervals.
In our opinion, the NCI method makes reasonable assumptions and, given the assumptions, has
adequate sample size to provide estimates with little bias relative to the confidence interval width.
For estimating usual fish consumption, the NCI method is the best approach that we are aware of.
At the same time, the estimates may be biased. Future work could include a comparison of usual fish
consumption from the NCI method to results using other assumptions or calculation methods to
provide some confidence that the NCI method, even if biased, is the best available or at least is
reasonable and acceptable for use.
54

-------
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155

5.4.3	Regions
The regional and coastal estimates are not as precise as for the total US due to smaller sample sizes.
There are also some questions regarding the weighting. The US Census Regions are used in the
calculation of the weights. Some of the coastal/noncoastal regions cross these Census Regions.
However, the weights also adjust for oversampling of some populations and non-response to the
survey, so we believe it is important to use the weights. While the estimates may be more imprecise
and there may be some uncertainty due to the weighting, they are still a better representation for
each coastal/noncoastal area then using the national estimate for all.
5.4.4	Seasonality
.
Fish consumption, especially of recreationally or sport caught fish, is likely to he vary by season.
NHANES collects data throughout the year. However, they generally collect data in northern
counties in the summer and southern counties in the winter. Thus the estimates may overestimate
usual intake in the northern regions of the U.S. and underestimate usual intake in the southern
regions of the U.S. if summer fish consumption is higher than winter fish consumption. There is no
way to estimate this season effect as there are no NHANES data from northern counties in the
winter and southern counties in the summer.
5.4.5	Precision of Estimates
The 95 percent confidence intervals are presented to show the precision of the estimates. Tighter
confidence intervals are found on more precise estimates and wider confidence limits are found on
less precise estimates. Even though an estimate for a suhpopulation, say Non-Hispanic Blacks, may
be imprecise, it is likely to be closer to the true value than is the estimate for the population as a
whole or the estimate for another subpopulation. As described in the Methods section, the Modified
NCI Method (and the NCI Method) uses predictors related to fish consumption, such as
race/ethnicity, to better predict both the probability ot consumption and the amount consumed on
a given consumption day. As a result, the differences between subpopulations generally reflect true
differences in consumption as opposed to uncertainty in the estimates. The values in the tables are
the best estimates of the percentiles of fish consumption for the given suhpopulations. If one was
concerned about the uncertainty in the estimate and wanted to be conservative to ensure the level of
protection desired, a higher percentile of fish consumption could be chosen, say the 95th percentile
instead of the 90th, or the upper limit of the 95 percent confidence interval around the percentile of
choice could be used.
55

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1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
6 References
Ahuja JKA, Montville JB, Omolewa-Tomobi G, Heendeniya KY, Martin CL, Steinfeldt LC, Aaand
J, Adler ME, LaComb RP, and Moshfegh AJ. (2012) USD A Food and Nutrient Database
for Dietary Studies, 5.0. U.S. Department of Agriculture, Agricultural Research Service,
Food Surveys Research Group, Belts ville, MD.
Dodd KW, Guenther PM, Freedman LS, Subar AF, Kipnis V, Midthune D, Tooze JA, Krebs-Smith
SM. (2006) Statistical methods for estimating usual intake of nutrients and foods: a review of
the theory. J Am Diet Assoc 2006 Oct;106(10): 1640-50. Review.
Freedman LS, Guenther PM, Dodd KW, Krebs-Smith SM, Midthune D. (2010) The population
distribution of ratios of usual intakes of dietary components that are consumed every day
can be estimated from repeated 24-hour recalls. J Nutr 2010 Jan;140(l):lll-6.
Mahaffey, K.R., Clickner, R.P., and Jeffries, R.A. (2009. Adult women's blood mercurv
concentrations vary regionally in the United States: Association with patterns of tish
consumption (NHANES 1999-2004). Environmental Health Perspectives, 117(1), 47-53.
National Center of Health Statistics. (2013) About the National Health and Nutrition Examination
Survey. Available at: http://www.cdc.gov/iiclis/tiliatK'-, ikhuJ	Accessed June
26, 2013.
National Center of Health Statistics. (2009) National Health and Nutrition Examination Survey
MEC In-Person Dietary Interviewers Procedures Manual. Available at:
http://www.cdc.gov/ nchs/ data/nhanes/nhanes__09__l0/DietaryInterviewers__Inperson.pdf
Accessed June 26, 2013.
National Center of Health Statistics. Continuous NHANES Web Tutorial. Variance Estimation. Key
concepts about variance estimation within NHaNES. Available at:
http:/ / www.cdc.gov/ii s '	v	* L. s / V a riai ic e E s tin la don./11 i lb 1.. h
tm
National Center for Health Statistics. (2005.) Analytic and Reporting Guidelines: The National
Health and Nutrition Examination Survey Examination Survey. December 2005. Available
at: http: //wwh _	'V r"ita/.n.hanes/iihanes 03 04/ii.han.es analytic guidelines
Tooze |A, Kipnis V, Buckman DW, Carroll RJ, Freedman LS, Guenther PM, Krebs-Smith SM,
Subar AF, Dodd KW7. (2010) A mixed-effects model approach for estimating the
distribution of usual intake of nutrients: the NCI method. Stat Med 2010 Nov
30,29(27):2857-68.
Tooze ]A, Midthune D, Dodd KW, Freedman LS, Krebs-Smith SM, Subar AF, Guenther PM,
Carroll RJ, Kipnis V. (2006) A new statistical method for estimating the usual intake of
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1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
episodically consumed foods with application to their distribution. J Am Diet Assoc 2006
Oct;106(10): 1575-87.
U.S. Department of Agriculture. (2010) Food and Nutrient Database for Dietary Studies, 4.1.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Department of Agriculture. (2008) Food and Nutrient Database for Dietary Studies, 3.0.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Department of Agriculture. (2006) Food and Nutrient Database for Dietary Studies, 2.0.
Beltsville, MD: Agricultural Research Service, Food Surveys Research Group.
U.S. Environmental Protection Agency. (2003) Methodology for Deriving Ambient Water Quality
Criteria for the Protection of Human Health (2000): Technical Support Document Volume
2: Development of National Bioaccumulation Factors. EPA-822-R-03-030. Washington,
DC: U.S. Environmental Protection Agency, Office of Science and Technology, Office of
Water.
U.S. Environmental Protection Agency. (2002) Estimated Per Capita Fish Consumption in the
United States. Washington DC. EPA-821- C- 02-003.
U.S. Environmental Protection Agency. (2002) Trophic Level and Exposure Analyses for Selected
Piscivorous Birds and Mammals. Volume III: Appendices. Washington, DC: U.S.
Environmental Protection Agency, Office of Science and Technology, Office of Water.
U.S. Environmental Protection Agency. (1997) Mercury study report to Congress. 1997. In: An
Assessment of Exposure to Mercury in the United States, Vol 4. EPA-452/R-97-006.
Washington, DC: U.S. Environmental Protection Agency, Office of Air Quality Planning
and Standards and Office of Research and Development.
57

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1230	Appendix A
1231
1232
1233	Habitat Apportionment Documentation

-------
NHANES fish group and

Proportion


com prising species
Marine
Freshwater
Estuarine
Details*
Abalone
1
0
0
100% Marine
Anchovy
0
0
1
100% Estuarine
Barracuda
1
0
0
100% Marine
Carp
Carp
Bream
Buffalofish
Sucker
100% Freshwater
100% freshwater
ซ100% freshwater, but not in US waters; very rarely consumed in US (not in NOAA
import data); 0 recorded in 2007-08 NHANES AM/jPM[file)	
100% freshwater
100% freshwater
Commented [PG4]: It's "AMPM,"not "AM/PM."But AMPM
has not been defined. See comment on line 518-519. Use the same
terminology here.
Catfish
Blue catfish
Channel catfish
Flathead catfish
0 0.9
0.1
Apportioned with NOAA landings data.
80% FW/20%Est, 40% of total catch
100% FW, 32% of total catch
100% FW, 3.6% of total catch

Catfishesand Bullheads
catch-all category, apportioned according to above catch proportions, 24% of total
catch
Clam

0.84
0 0.16 Apportioned with NOAA landings data.

Arc/Blood clam

100% Est, <0.5% of total catch

Atlantic jacknife clam

100% Est, <0.5% of total catch

Atlantic surf clam

100% marine, 41.9% of total catch

Butter clam

100% Est, <0.5% of total catch

Manila clam

100% Est, 1% of total catch

Northern quahog clam

100% Est, 4.9% of total catch

Ocean quahog clam

100% marine, 35.4% of total catch

Pacific geoduck clam

100% Est, 3.1% of total catch

Pacific littleneck clam

100% Est, <0.5% of total catch

Pacific razor clam

100% Marine, <0.5% of total catch

Pacific gaper clam

100% Est, <0.5% of total catch

Quahog clam

100% Est, 0.7% of total catch

Softshell clam

100% Est, 4.8% of total catch

Clams or Bivalves
catch-al
1 category, apportioned according to above catch proportions, 7.8% of total



catch
Cod

1
0 0 100% Marine
Conch

1
0 0 100% Marine
Crab

0.273
0 0.727

Atlantic rock crab

100% Marine, 0.9% of total catch

Blue crab

100% Est, 52.2% of total catch

Blue peeler crab

100% Est, 0.5% of total catch

Blue soft crab

100% Est, <0.5% of total catch

Blue crab, soft and peeler

100% Est, <0.5% of total catch

Deepsea golden crab

100% Marine, <0.5% of total catch

Deepsea red crab

100% Marine, <0.5% of total catch
A-l

-------
NHANES fish group and
com prising species
Proportion
Marine Freshwater Estuarine Details*
Dungeness crab
100% Est, 18.1% of total catch
Florida stone claws crab
50% Est/50% Marine (2 species), 1.5% of

total catch
Green crab
100% Est, <0.5% of total catch
Horseshoe crab
used for bait and fertilizer, not consumed by humans
Jonah crab
100% Marine, 2.7% of total catch
King crab
100% Marine, 6.5% of total catch
Red rock crab
100% Est, <0.5% of total catch
Snow crab
100% Marine, 14.9% of total catch
Southern tanner crab
100% Marine, 0.8% of total catch
Spider crab
100% Marine, <0.5% of total catch
Crabs
catch-all category, apportioned according to above catch proportions, 0.8% of total
catch
Crayfish
0 10 100% Freshwater
0.071	0.05	0.879
Apportioned with NOAA landings data. Atlantic Croaker (estuarine) 99.6% of total catch.
Pacific croaker (marine) <0.5% of total catch. Weighted* 35% of group.
Aquarium fish, not consumed in US
Aquarium fish, not consumed in US
100% Estuarine (estuarine and marine caught near-shore) Weighted 10% of group.
90% Marine/10% Estuarine (one Hawaiian species is estuarine) Weighted 5% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 25% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 5% of group.
100% Freshwater Weighted 5% of group.
2 popular food species in US, one is estuarine/marine the other is marine. NOAA
landings database does not speciate. Assum 50% estuarine and 50% Marine. Weighted
5% of group.
100% Estuarine (estuarine and marine caught near-shore) Weighted 5% of group.
Aquarium fish, not consumed in US
Marine and esturaine species. Weighted 5% of group.
Eel	0	10	100% Freshwater
Croaker
Angelfish
Butterflyfish
Drumfish
Goatfish/Weke
Kingfish
Sea trout
Freshwater
Sheepshead/Goo/Gaspergou
Spadefish
Spot
Surgeonfish
Weakfish
Flatfish
FLOUNDER, ARROWTOOTH
FLOUNDER, FOURSPOT
FLOUNDER, PACIFIC, SANDDAB
FLOUNDER, SOUTHERN
FLOUNDER, STARRY
FLOUNDER, SUMMER
FLOUNDER, WINDOWPANE
FLOUNDER, WINTER
FLOUNDER, WITCH
FLOUNDER, YELLOWTAIL
0.87
0.13	Apportioned with NOAA landings data.
100% Marine, 15.8% of total catch
100% Marine, <0.5% of total catch
100% Marine, <0.5% of total catch
100% Estuarine, <0.5% of total catch
100% Estuarine, <0.5% of total catch
100% Estuarine, 1.9% of total catch
100% Estuarine, <0.5% of total catch
100% Estuarine, 0.7% of total catch
100% Marine, <0.5% of total catch
100% Marine, 0.5% of total catch
A-2

-------
NHANES fish group and

Proportion


com prising species
Marine
Freshwater
Estuarine
Details*
FLOUNDER,ATLANTIC, PLAICE



100% Marine, 0.5% of total catch
FLOUNDER, PACIFIC, SAN DDAB
FLOUNDERS, RIGHTEYE



100% Marine, <0.5% of total catch
50% Marine/50% Estuarine, <0.5% of total
catch
SOLE, BUTTER



100% Marine, <0.5% of total catch
SOLE, CURLFIN



100% Marine, <0.5% of total catch
SOLE, DOVER



100% Marine, <0.5% of total catch
SOLE, ENGLISH



100% Estuarine, <0.5% of total catch
SOLE, FAN TAIL



100% Marine, <0.5% of total catch
SOLE, FLATHEAD



100% Estuarine, 7.5% of total catch
SOLE, PETRALE



100% Marine, <0.5% of total catch
SOLE, REX



100% Marine, 1.9% of total catch
SOLE, ROCK



100% Marine, 18.1% of total catch
SOLE, SAND



100% Estuarine, <0.5% of total catch
SOLE, YELLOWFIN



100% Marine, 37.3% of total catch
HALIBUT, ATLANTIC



100% Marine, <0.5% of total catch
HALIBUT, CALIFORNIA



100% Estuarine, <0.5% of total catch
HALIBUT, GREENLAND



100% Marine, 1.4% of total catch
HALIBUT, PACIFIC

75% Marine (adults)/25% Estuarine (young), 9.2% of total catch
Flounder
0.85
0
0.15
Apportioned with NOAA landings data.
FLOUNDER, ARROWTOOTH



100% Marine, 78.5% of total catch
FLOUNDER, FOURSPOT



100% Marine, <0.5% of total catch
FLOUNDER, PACIFIC, SANDDAB



100% Marine, <0.5% of total catch
FLOUNDER, SOUTHERN



100% Estuarine, 1.7% of total catch
FLOUNDER, STARRY



100% Estuarine, <0.5% of total catch
FLOUNDER, SUMMER



100% Estuarine, 9.4% of total catch
FLOUNDER, WINDOWPANE



100% Estuarine, <0.5% of total catch
FLOUNDER, WINTER



100% Estuarine, 0.3% of total catch
FLOUNDER, WITCH



100% Marine, 1.5% of total catch
FLOUNDER, YELLOWTAIL



100% Marine, 2.5% of total catch
FLOUNDER,ATLANTIC,PLAICE



100% Marine, 2.4% of total catch
FLOUNDER,PACIFIC,SANDDAB
FLOUNDERS, RIGHTEYE



100% Marine, <0.5% of total catch
50% Marine/50% Estuarine, <0.5% of total
catch
Sole
0.89
0
0.11
Apportioned with NOAA landings data.
SOLE, BUTTER



100% Marine, <0.5% of total catch
SOLE, CURLFIN



100% Marine, <0.5% of total catch
SOLE, DOVER



100% Marine, 5.6% of total catch
SOLE, ENGLISH



100% Estuarine, <0.5% of total catch
SOLE, FAN TAIL



100% Marine, <0.5% of total catch
SOLE, FLATHEAD



100% Estuarine, 10.8% of total catch
SOLE, PETRALE

A-3

100% Marine, 0.6% of total catch

-------
NHANES fish group and
Proportion

com prising species
Marine Freshwater Estuarine
Details*
SOLE, REX

100% Marine, 2.7% of total catch
SOLE, ROCK

100% Marine, 26.1% of total catch
SOLE, SAND

100% Estuarine, <0.5% of total catch
SOLE, YELLOWFiN

100% Marine, 54.0% of total catch
Halibut
0.78 0 0.22
Apportioned with NOAA landings data.
HALIBUT, ATLANTIC

100% Marine, <0.5% of total catch
HALIBUT, CALIFORNIA

100% Estuarine, 0.9% of total catch
HALIBUT, GREENLAND

100% Marine, 13.0% of total catch
HALIBUT, PACIFIC
75% Marine (adu
ts)/25% Estuarine (young), 86.0% of total catch
Haddock
0.945 0.05 0.006

Haddock

100% Marine. Weighted 50% of group.
Blowfish

Not consumed in US
Burbot

100% Freshwater. Weighted 5% of group.
Cusk

100% Marine. Weighted 5% of group.
Hake
9 species: 8 are marine (89%) and 1 is estuarine (11%). Weighted 5% of group.
Ling

100% Marine. Weighted 5% of group.
Monkfish

100% Marine. Weighted 5% of group.
Scrod

100% Marine. Weighted 25% of group.
Herring
0.304 0.01 0.686

Herring
Apportioned with NOAA landings data. (0.6%M/0.3$FW/99.1%Est) Weighted 60% of
group.

HERRING, ATLANTIC
100% Estuarine, 64.3% of total catch

HERRING, ATLANTIC THREAD
100% Marine, <0.5% of total catch

HERRING, BLUEBACK
100% Estuarine, <0.5% of total catch

HERRING, LAKE OR CISCO
100% Freshwater, <0.5% of total catch

HERRING, PACIFIC
100% Estuarine, 34.6% of total catch

HERRING, ROUND
100% Marine, <0.5% of total catch
catch-all category, apportioned according

HERRINGS
to above catch proportions, <0.5% of total
catch
Milkfish

100% Marine. Weighted 30% of group.
6 main species. 92% Estuarine/8%
Shad

Freshwater (Alewife if 50% FW). Weighted
10% of group.
Jellyfish
0 0 1
100% Estuarine
Lobster
0.044 0 0.956
Apportioned with NOAA landings data.
LOBSTER, AMERICAN

100% Estuarine, 95.0% of total catch
LOBSTER, BANDED SPINY

100% Marine, <0.5% of total catch
LOBSTER, CALIFORNIA SPINY

100% Estuarine, 0.6% of total catch
LOBSTER, CARIBBEAN SPINY

100% Marine, 4.4% of total catch
LOBSTER, SLIPPER

100% Marine, <0.5% of total catch
Mackerel
0.411 0 0.589
A-4


-------
NHANES fish group and 	Proportion	
comprising species	Marine Freshwater Estuarine
Details*
Mackerel
Apportioned with NOAA landings data. Weighted 90% of group.

MACKEREL, ATLANTIC
100% Estuarine, 63.4% of total catch

MACKEREL, CHUB
100% Marine, 13.8% of total catch

MACKEREL, FRIGATE
100% Marine, <0.5% of total catch

MACKEREL, KING
100% Marine, 1.7% of total catch

MACKEREL, KING AND CERO
100% Marine, 11.1% of total catch

MACKEREL, SPANISH
100% Marine, 10.0% of total catch
Garfish

100% Estuarine. Weighted 2% of group.
Ono/Wahoo
Needlefish
100% Marine. Weighted 4% of group.
56% Marine/44% Estuarine (9 species, 5 marine and 4 estuarine). Weighted 4% of
group.
Mullet
0 0 1
100% Estuarine
Mussel
0 0 1
100% Estuarine
Rockfish/Ocean Perch
0.925 0 0.075

Ocean Perch

100% Marine. Weighted 15% of group.
Bocaccio

100% Estuarine. Weighted 5% of group.
Menpachi

100% Marine. Weighted 5% of group.
Orange roughy

100% Marine. Weighted 35% of group.
Redfish
Rockfish

100% Marine. Weighted 15% of group.
70 species, approximately half are found
in estuaries (in addition to marine
habitats) 50% Marine/50% Estuarine.
Weighted 5% of group.
Octopus
0.62 0 0.38
8 species commonly consumed in US. 3
are 100% estuarine and 5 are 100%
Marine. NOAA database does not^
speciate.
Oyster
0 0 1
100% Estuarine
Perch
Bluegill
Crappie
Sunfish
Bass
Walleye
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
Pike
Pike
Muskellunge
Pickerel
100% Freshwater
100% Freshwater
100% Freshwater
100% Freshwater
Deleted: nto
Pompano
Florida (100% Est) is 97% of total catch, African (100% Marine) is 3% of total catch.
Pompano	Weighted 3% of group.
A-5

-------
NHANES fish group and
Proportion

com prising species
Marine Freshwater Estuarine Details*

Akule
100% Marine. Weighted 3% of group.


2 main species: 1 is marine, near-xoast (100% Estuarine) and the other is mainly	-j
Deleted: caost
Blackfish
estuarine and Dartiallv freshwater. 95%ฃstuarine/5% FW. Weighted 3% of group. ^
Deleted: Estuarein
Bluefish
100% Estuarine. Weighted 3% of group.

Butte rfish
100% Estuarine. Weighted 3% of group.

Dolphinfish
100% Marine. Weighted 10% of group.

Jack
100% Marine. Weighted 3% of group.

Mahimahi
100% Marine. Weighted 35% of group.

Papio
100% Marine. Weighted 3% of group.

Parrot fish
100% Marine. Weighted 3% of group.

Sablefish
100% Marine. Weighted 3% of group.

Scad
100% Marine. Weighted 3% of group.

Tilefish
100% Marine. Weighted 3% of group.

Ulua
100% Estuarine. Weighted 3% of group.

Yellowtail
100% Estuarine. Weighted 19% of group.

Porgy
0.981 0 0.019 Apportioned with NOAA landings data.

PORGY, JOLTHEAD
100% Marine, <0.5% of total catch

PORGY, KNOBBED
100% Marine, <0.5% of total catch

PORGY, RED
100% Marine, 1.7% of total catch

SCUP
100% Marine, 43.8% of total catch

SCUPSOR PORGIES
100% Marine, 1.7% of total catch

SHEEPSHEAD
100% Marine, 8.2% of total catch

SNAPPER, BLACK
100% Marine, <0.5% of total catch

SNAPPER, BLACKFiN
100% Marine, <0.5% of total catch

SNAPPER, CUBERA
100% Estuarine, <0.5% of total catch

SNAPPER, DOG
100% Estuarine, <0.5% of total catch

SNAPPER, GRAY
100% Estuarine, 1.3% of total catch

SNAPPER, LANE
100% Marine, <0.5% of total catch

SNAPPER, MUTTON
100% Estuarine, 0.6% of total catch

SNAPPER, QUEEN
100% Marine, <0.5% of total catch

SNAPPER, RED
100% Marine, 14.3% of total catch

SNAPPER, SILK
100% Marine, <0.5% of total catch

SNAPPER, VERMILION
100% Marine, 17.9% of total catch

SNAPPER, YELLOWTAIL
100% Marine, 8.6% of total catch

SNAPPERS
catch-all category for snapper, apportioned according to above catch proportions, 1.2%

of total catch

Roe/Caviar
0.085 0.235 0.68


10 species commonly used. Salmon, Alewife, Paddlefish, Bowfin, Pike, Freshwater

Roe
Whitefish, Shad = 100% FW. Mullet = 100% Est. Capelin, Cod = 100% Marine. Total


70%FW/10%Est/20%Marine. Weighted 40% of group.

Caviar
.Sturgeon eggs. 100% Estuarine. Weighted 60% of groupJ^—|
Deleted: Strugeon
A-6

-------
NHANES fish group and
Proportion

com prising species
Marine Freshwater Estuarine
Details*
Salmon
0.96 0.005 0.035

Salmon
Partially apportioned with NOAAdata. Weighted 99% of group.

Kokanee
Landlocked sockeye salmon, 100%
Freshwater. Catch is <1% of total salmon
catch.

SALMON, CHINOOK
100% Marine. 1.5% of total catch.

SALMON, CHUM
SALMON, COHO
Some populations spend many months in
estuaries. 85% Marine/15% Estuarine.
15.3% of total catch
Some populations spend many months in
estuaries. 85% Marine/15% Estuarine.
4.4% of total catch

SALMON, PINK
100% Marine. 44.6% of total catch.

SALMON, SOCKEYE
100% Marine. 34.1% of total catch.
Saltwater trout

100% Estuarine. Weighted 1% of group.
Sardine
0.9 0 0.1

Pacific sardine

90% of catch, 100% marine
Round sardinella

10% of catch, 100% estuarine
Scallop
0 0 1
100% Estuarine
Sea Bass
0.925 0.025 0.05

Sea bass
5 species commonly consumed in US. 100% Marine. Weighted 85% of group.
Grouper
150 species, some marine only, some estuarine and marine. 50% Marine/50% Estuarine.
Weighted 10% of group.
Striped Bass
50% Estuarine/50% Freshwater. Weighted 10% of group.
Wreckfish

100% Marine. Weighted 10% of group.
Shark
0.866 0 0.134

Shark
8 species consumed. 7 marine, 1 estuarine/marine. 87.5% Marine/12.5% Estuarine.
Weighted 90% of group.
Dogfish
16 species consumed. 14 marine, 2 estuarine/marine. 87.5% Marine/12.5% Estuarine.
Weighted 5% of group.
Grayfish
5 species consumed. 3 marine, 2 estuarine/marine. 60% Marine/40% Estuarine.
Weighted 5% of group.
Shrimp
0.176 0 0.824
Apportioned with NOAA landings data.
SHRIMP, BROWN

100% Estuarine, 36.4% of total catch.
SHRIMP, MARINE, OTHER

100% Marine, 2.6% of total catch.
SHRIMP, OCEAN

100% Marine, 13.4% of total catch.
SHRIMP, PACIFIC ROCK

100% Marine, <0.5% of total catch.
SHRIMP, PENAEID

100% Estuarine, <0.5% of total catch.
SHRIMP, PINK

100% Estuarine, 3.2% of total catch.
SHRIMP, ROCK

100% Marine, 1.1% of total catch.
SHRIMP, ROYAL RED

100% Marine, <0.5% of total catch.
A-7

-------
NHANES fish group and

Proportion


com prising species
Marine
Freshwater
Estuarine
Details*
SHRIMP, SEABOB



100% Estuarine, <0.5% of total catch.
SHRIMP, SPOT



100% Estuarine, <0.5% of total catch.
SHRIMP, WHITE



100% Estuarine, 40.2% of total catch.
SHRIMP,PAN DALID



100% Estuarine, 0.9% of total catch.
SHRIMP, FW



100% Freshwater, <0.001% of total catch

catch-
-all category, apportioned according to above catch proportions, 0.9% of total
SHRIMP, DENDROBRANCHIATA



catch
Snail
0.45
0.1
0.45
Species found in all environments.
Limpet



80% marine species, 20%jreshwater
species.
Conch



Half species 100% Marine, half 100%



marine but harvested near coast.
Moon snail



Half species 100% Marine, half 100%
marine but harvested near coast.
Squid
0.8
0
0.2

Squid


5 species commonly caught. 4 marine and 1 estuarine.
Cuttlefish



Marine. Not found in US waters.
Sturgeon
0
0.42
0.58
6 species commonly caught. 1 FW/Est,
2 FW, 3 Est
Swordfish
1
0
0
100% Marine
Swordfish



100% Marine
Marlin



100% Marine




Invasive in US; established populations
Tilapia
0
0.5
0.5
in some freshwater lakes as well as
estuaries
Trout
0.106
0.869
0.025

Trout



100% Freshwater, weighted 70% of group
Chub



100% Freshwater, weighted 5% of group

4 species: 1 FW, 1 Marine/Est, 1 Est, 1 FW/Est (37.5% FW, 50% Est, 12.5% marine,
Cisco



weighted 5% of group)
Lake Herring



100% Freshwater, weighted 5% of group
Steelhead



100% Marine, weighted 10% of group
Freshwater Whitefish



100% Freshwater, weighted 5% of group




Based on apportionment of cod, whiting,
Whitefish
0.877
0
0.123
haddock, hake, pollock, sole, flounder,
and halibu^
Tuna,canned
1
0
0
100% Marine
Tuna, fresh
1
0
0
100% Marine
Whelk
0
0
1
100% Estuarine
Whiting
1
0
0
100% Marine
Fish not specified
0.52
0.16
0.32
Apportioned according to overall
percentages of all specified species
Deleted:
A-8

-------
NHANES fish group and 	Proportion	
comprising species	Marine Freshwater Estuarine
Details*
Breaded Fish Products	1	0	0	100% Marine (Pollock/Cod)
^Weighted percentages come from number of reports in 2007-08 NHANES AM/PM file. Unless a fish is not known to be
consumed in the US, no fish were assigned a 0 weight as they could be reported consumed in other NHANES releases.
|	We onjy had access to the 2007-08 AM/PM file.	 | Deleted:
1240
A-9

-------
1242	Appendix B
1243
1244
1245	Fish-Containing Food Codes

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
14620120
27
0.28
Shrimp dip,
cream cheese
base

0.262
CANNED
25.0%
0.349
0.062
0.000
0.288
0.349
0.000
0.175
0.175
0.000
26100100
1
0.01
Fish, NS as to
type, raw

1.000
RAW
0.0%
1.000
0.520
0.160
0.320
0.000
1.000
0.000
0.500
0.500
26100110
74
0.77
Fish, NS as to
type, cooked, NS
as to cooking
method

0.992
COOKED DRY
HEAT
25.0%
1.322
0.687
0.212
0.423
0.000
1.322
0.000
0.661
0.661
26100120
130
1.36
Fish, NS as to
type, baked or
broiied

0.946
COOKED DRY
HEAT
25.0%
1.262
0.656
0.202
0.404
0.000
1.262
0.000
0.631
0.631
26100130
21
0.22
Fish, NS as to
type, breaded or
battered, baked

0.771
RAW
0.0%
0.771
0.400
0.123
0.247
0.000
0.771
0.000
0.385
0.385
26100140
83
0.87
Fish, NS as to
type, floured or
breaded, fried

0.832
RAW
0.0%
0.832
0.432
0.133
0.266
0.000
0.832
0.000
0.416
0.416
26100150
58
0.61
Fish, NS as to
type, battered,
fried

0.752
RAW
0.0%
0.752
0.391
0.120
0.241
0.000
0.752
0.000
0.376
0.376
26100160
27
0.28
Fish, NS as to
type, steamed

0.993
RAW
0.0%
0.993
0.516
0.159
0.318
0.000
0.993
0.000
0.497
0.497
26100170
6
0.06
Fish, NS as to
type, dried

1.000
SALTED
30.0%
1.429
0.742
0.229
0.457
0.000
1.429
0.000
0.714
0.714
26100190
5
0.05
Fish, NS as to
type, smoked

1.000
SMOKED
CISCO
30.2%
1.433
0.745
0.229
0.459
0.000
1.433
0.000
0.717
0.717
26100210
21
0.22
Fish stick, patty,
or fiiiet, NS as to
type, cooked, NS
as to cooking
method

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100220
34
0.36
Fish stick, patty,
or fiiiet, NS as to
type, baked or
broiied

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
B-l

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26100230
300
3.14
Fish stick, patty,
or fiiiet, NS as to
type, breaded or
battered, baked

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100240
143
1.5
Fish stick, patty,
or fiiiet, NS as to
type, floured or
breaded, fried

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26100250
55
0.58
Fish stick, patty,
or fiiiet, NS as to
type, battered,
fried

0.448
PREHEATED
25.0%
0.598
0.598
0.000
0.000
0.000
0.598
0.000
0.299
0.299
26101110
9
0.09
Anchovy,
cooked, NS as to
cooking method

1.000
CANNED
25.0%
1.333
0.000
0.000
1.333
0.000
1.333
0.667
0.667
0.000
26105120
6
0.06
Carp, baked or
broiied

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.933
0.000
26105140
10
0.1
Carp, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.835
0.000
26107110
4
0.04
Catfish, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.752
0.084
0.000
0.835
0.000
0.418
0.418
26107120
72
0.75
Catfish, baked or
broiied

0.933
RAW
0.0%
0.933
0.000
0.840
0.093
0.000
0.933
0.000
0.467
0.467
26107130
11
0.12
Catfish, breaded
or battered,
baked

0.775
RAW
0.0%
0.775
0.000
0.697
0.077
0.000
0.775
0.000
0.387
0.387
26107140
122
1.28
Catfish, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.752
0.084
0.000
0.835
0.000
0.418
0.418
26107150
80
0.84
Catfish,
battered, fried

0.752
RAW
0.0%
0.752
0.000
0.677
0.075
0.000
0.752
0.000
0.376
0.376
26107160
11
0.12
Catfish, steamed
or poached

0.993
RAW
0.0%
0.993
0.000
0.894
0.099
0.000
0.993
0.000
0.497
0.497
26109110
4
0.04
Cod, cooked, NS
as to cooking
method

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.418
0.418
26109120
58
0.61
Cod, baked or
broiied

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.467
0.467
26109130
16
0.17
Cod, breaded or
battered, baked

0.775
RAW
0.0%
0.775
B 2
0.775
0.000
0.000
0.000
0.775
0.000
0.387
0.387

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26109140
31
0.32
Cod, fioured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.418
0.418
26109150
44
0.46
Cod, battered,
fried

0.752
RAW
0.0%
0.752
0.752
0.000
0.000
0.000
0.752
0.000
0.376
0.376
26109160
8
0.08
Cod, steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.497
0.497
26109170
3
0.03
Cod, dried,
saited

1.000
SALTED
30.0%
1.429
1.429
0.000
0.000
0.000
1.429
0.000
0.714
0.714
26109180
1
0.01
Cod, dried,
saited, sait
removed in
water

0.285
SALTED
30.0%
0.407
0.407
0.000
0.000
0.000
0.407
0.000
0.204
0.204
26111120
17
0.18
Croaker, baked
or broiied

0.933
RAW
0.0%
0.933
0.067
0.047
0.820
0.000
0.933
0.000
0.467
0.467
26111130
2
0.02
Croaker,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.055
0.039
0.680
0.000
0.774
0.000
0.387
0.387
26111140
16
0.17
Croaker, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.060
0.042
0.734
0.000
0.835
0.000
0.418
0.418
26111160
4
0.04
Croaker,
steamed or
poached

0.993
RAW
0.0%
0.993
0.071
0.050
0.873
0.000
0.993
0.000
0.497
0.497
26113110
4
0.04
Eei, cooked, NS
as to cooking
method

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26113160
1
0.01
Eei, steamed or
poached

0.993
RAW
0.0%
0.993
0.000
0.993
0.000
0.000
0.993
0.000
0.000
0.993
26115110
3
0.03
Fiounder,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.812
0.000
0.121
0.000
0.933
0.000
0.467
0.467
26115120
60
0.63
Fiounder, baked
or broiied

0.933
RAW
0.0%
0.933
0.812
0.000
0.121
0.000
0.933
0.000
0.467
0.467
26115130
12
0.13
Fiounder,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.674
0.000
0.101
0.000
0.774
0.000
0.387
0.387
26115140
45
0.47
Fiounder,
fioured or
breaded, fried

0.835
RAW
0.0%
0.835
0.727
0.000
0.109
0.000
0.835
0.000
0.418
0.418
26115150
32
0.34
Fiounder,
battered, fried

0.752
RAW
0.0%
0.752
B-3
0.654
0.000
0.098
0.000
0.752
0.000
0.376
0.376

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26115160
3
0.03
Flounder,
steamed or
poached

0.993
RAW
0.0%
0.993
0.864
0.000
0.129
0.000
0.993
0.000
0.497
0.497
26117110
1
0.01
Haddock,
cooked, NS as to
cooking method

0.932
RAW
0.0%
0.932
0.881
0.047
0.005
0.000
0.932
0.000
0.466
0.466
26117120
27
0.28
Haddock, baked
or broiied

0.932
RAW
0.0%
0.932
0.881
0.047
0.005
0.000
0.932
0.000
0.466
0.466
26117130
13
0.14
Haddock,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.731
0.039
0.004
0.000
0.774
0.000
0.387
0.387
26117140
15
0.16
Haddock, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.789
0.042
0.005
0.000
0.835
0.000
0.418
0.418
26117150
8
0.08
Haddock,
battered, fried

0.752
RAW
0.0%
0.752
0.710
0.038
0.004
0.000
0.752
0.000
0.376
0.376
26117160
4
0.04
Haddock,
steamed or
poached

0.993
RAW
0.0%
0.993
0.938
0.050
0.005
0.000
0.993
0.000
0.497
0.497
26119110
4
0.04
Herring, cooked,
NS as to cooking
method

1.000
PICKLED
14.8%
1.174
0.357
0.012
0.805
0.000
1.174
0.000
1.174
0.000
26119120
13
0.14
Herring, baked
or broiied

0.933
RAW
0.0%
0.933
0.284
0.009
0.640
0.000
0.933
0.000
0.933
0.000
26119140
1
0.01
Herring, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.254
0.008
0.573
0.000
0.835
0.000
0.835
0.000
26119160
1
0.01
Herring, pickied,
in cream sauce

0.798
PICKLED
14.8%
0.936
0.285
0.009
0.642
0.000
0.936
0.000
0.936
0.000
26119180
8
0.08
Herring, pickied

1.000
PICKLED
14.8%
1.174
0.357
0.012
0.805
0.000
1.174
0.000
1.174
0.000
26119190
4
0.04
Herring, smoked,
kippered

1.000
KIPPERED
10.3%
1.115
0.339
0.011
0.765
0.000
1.115
0.000
1.115
0.000
26121100
1
0.01
Mackerel, raw

1.000
RAW
0.0%
1.000
0.411
0.000
0.589
0.000
1.000
0.000
0.500
0.500
26121110
1
0.01
Mackerel,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.384
0.000
0.550
0.000
0.933
0.000
0.467
0.467
26121120
7
0.07
Mackerel, baked
or broiied

0.933
RAW
0.0%
0.933
0.384
0.000
0.550
0.000
0.933
0.000
0.467
0.467
26121140
1
0.01
Mackerei,
fioured or
breaded, fried

0.835
RAW
0.0%
0.835
0.343
0.000
0.492
0.000
0.835
0.000
0.418
0.418
B-4

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26121180
4
0.04
Mackerel,
canned

1.000
CANNED
25.0%
1.333
0.548
0.000
0.785
0.000
1.333
0.000
0.667
0.667
26123140
1
0.01
Mullet, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.000
0.835
0.835
0.000
0.000
26125120
28
0.29
Ocean perch,
baked or broiied

0.933
RAW
0.0%
0.933
0.863
0.000
0.070
0.000
0.933
0.000
0.000
0.933
26125140
15
0.16
Ocean perch,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.773
0.000
0.063
0.000
0.835
0.000
0.000
0.835
26125150
6
0.06
Ocean perch,
battered, fried

0.752
RAW
0.0%
0.752
0.695
0.000
0.056
0.000
0.752
0.000
0.000
0.752
26125160
2
0.02
Ocean perch,
steamed or
poached

0.993
RAW
0.0%
0.993
0.919
0.000
0.075
0.000
0.993
0.000
0.000
0.993
26127110
3
0.03
Perch, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26127120
38
0.4
Perch, baked or
broiied

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26127130
10
0.1
Perch, breaded
or battered,
baked

0.774
RAW
0.0%
0.774
0.000
0.774
0.000
0.000
0.774
0.000
0.000
0.774
26127140
57
0.6
Perch, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26127150
31
0.32
Perch, battered,
fried

0.752
RAW
0.0%
0.752
0.000
0.752
0.000
0.000
0.752
0.000
0.000
0.752
26127160
5
0.05
Perch, steamed
or poached

0.993
RAW
0.0%
0,993
0.000
0.993
0.000
0.000
0.993
0.000
0.000
0.993
26129120
1
0.01
Pike, baked or
broiied

0.933
RAW
0.0%
0.933
0.000
0.933
0.000
0.000
0.933
0.000
0.000
0.933
26129140
2
0.02
Pike, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.835
0.000
0.000
0.835
0.000
0.000
0.835
26131100
1
0.01
Pompano, raw

1.000
RAW
0.0%
1.000
0.661
0.002
0.338
0.000
1.000
0.000
0.000
1.000
26131110
1
0.01
Pompano,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.617
0.001
0.315
0.000
0.933
0.000
0.000
0.933
26131120
28
0.29
Pompano, baked
or broiied

0.933
RAW
0.0%
0.933
B-5
0.617
0.001
0.315
0.000
0.933
0.000
0.000
0.933

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26131140
6
0.06
Pompano,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.552
0.001
0.282
0.000
0.835
0.000
0.000
0.835
26131150
1
0.01
Pompano,
battered, fried

0.752
RAW
0.0%
0.752
0.497
0.001
0.254
0.000
0.752
0.000
0.000
0.752
26131160
11
0.12
Pompano,
steamed or
poached

0.993
RAW
0.0%
0.993
0.656
0.001
0.336
0.000
0.993
0.000
0.000
0.993
26133110
1
0.01
Porgy, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.819
0.000
0.016
0.000
0.835
0.000
0.000
0.835
26133120
13
0.14
Porgy, baked or
broiied

0.933
RAW
0.0%
0.933
0.916
0.000
0.018
0.000
0.933
0.000
0.000
0.933
26133140
6
0.06
Porgy, floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.819
0.000
0.016
0.000
0.835
0.000
0.000
0.835
26133150
3
0.03
Porgy, battered,
fried

0.637
RAW
0.0%
0.637
0.625
0.000
0.012
0.000
0.637
0.000
0.000
0.637
26133160
5
0.05
Porgy, steamed
or poached

0.993
RAW
0.0%
0.993
0.975
0.000
0.019
0.000
0.993
0.000
0.000
0.993
26137100
1
0.01
Salmon, raw

1.000
RAW
0.0%
1.000
0.960
0.005
0.035
0.000
1.000
0.000
0.000
1.000
26137110
47
0.49
Salmon, cooked,
NS as to cooking
method

0.993
COOKED DRY
HEAT
25.0%
1.323
1.270
0.007
0.046
0.000
1.323
0.000
0.000
1.323
26137120
435
4.55
Salmon, baked
or broiied

0.933
RAW
0.0%
0.933
0.896
0.005
0.033
0.000
0.933
0.000
0.000
0.933
26137140
24
0.25
Salmon, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.802
0.004
0.029
0.000
0.835
0.000
0.000
0.835
26137150
15
0.16
Salmon,
battered, fried

0.752
RAW
0.0%
0.752
0.722
0.004
0.026
0.000
0.752
0.000
0.000
0.752
26137160
31
0.32
Salmon,
steamed or
poached

0.993
RAW
0.0%
0.993
0.954
0.005
0.035
0.000
0.993
0.000
0.000
0.993
26137180
32
0.34
Salmon, canned

1.000
CANNED
25.0%
1.333
1.280
0.007
0.047
0.000
1.333
0.000
0.000
1.333
26137190
53
0.55
Salmon, smoked

1.000
SMOKED
SALMON
5.0%
1.053
1.011
0.005
0.037
0.000
1.053
0.000
0.000
1.053
26139110
18
0.19
Sardines, cooked

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
26139170
1
0.01
Sardines, dried

1.000
DRIED
80.0%
5.003
4.502
0.000
0.500
0.000
5.003
0.000
5.003
0.000
26139180
36
0.38
Sardines, canned
in oil

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
B-6

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
description, if
multiple
ingredients
Proportion
of recipe
that is fish
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26139190
13
0.14
Sardines,
skinless,
boneless, packed
in water

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
26141110
1
0.01
Sea bass,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.863
0.023
0.047
0.000
0.933
0.000
0.000
0.933
26141120
24
0.25
Sea bass, baked
or broiied

0.933
RAW
0.0%
0.933
0.863
0.023
0.047
0.000
0.933
0.000
0.000
0.933
26141130
1
0.01
Sea bass,
breaded or
battered, baked

0.774
RAW
0.0%
0.774
0.716
0.019
0.039
0.000
0.774
0.000
0.000
0.774
26141140
8
0.08
Sea bass, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.773
0.021
0.042
0.000
0.835
0.000
0.000
0.835
26141160
8
0.08
Sea bass,
steamed or
poached

0.993
RAW
0.0%
0.993
0.919
0.025
0.050
0.000
0.993
0.000
0.000
0.993
26143120
1
0.01
Shark, baked or
broiled

0.933
RAW
0.0%
0.933
0.808
0.000
0.125
0.000
0.933
0.000
0.000
0.933
26147110
2
0.02
Sturgeon,
cooked, NS as to
cooking m et hod

0.992
RAW
0.0%
0.992
0.000
0.417
0.575
0.000
0.992
0.000
0.000
0.992
26149120
16
0.17
Swordfish, baked
or broiied

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26149140
3
0.03
Swordfish,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.000
0.835
26149160
1
0.01
Swordfish,
steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.000
0.993
26151110
1
0.01
Trout, cooked,
NS as to cooking
method

0.933
RAW
0.0%
0.933
0.099
0.811
0.023
0.000
0.933
0.000
0.000
0.933
26151120
39
0.41
Trout, baked or
broiled

0.933
RAW
0.0%
0.933
0.099
0.811
0.023
0.000
0.933
0.000
0.000
0.933
26151130
4
0.04
Trout, breaded
or battered,
baked

0.835
RAW
0.0%
0.835
0.089
0.725
0.021
0.000
0.835
0.000
0.000
0.835
26151140
29
0.3
Trout, floured or
breaded, fried

0.835
RAW
0.0%
0.835
B-7
0.089
0.726
0.021
0.000
0.835
0.000
0.000
0.835

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26151150
24
0.25
Trout, battered,
fried

0.752
RAW
0.0%
0.752
0.080
0.653
0.019
0.000
0.752
0.000
0.000
0.752
26151190
1
0.01
Trout, smoked

0.993
RAW
0.0%
0.993
0.106
0.862
0.025
0.000
0.993
0.000
0.000
0.993
26153100
7
0.07
Tuna, fresh, raw

1.000
RAW
0.0%
1.000
1.000
0.000
0.000
0.000
1.000
0.000
0.000
1.000
26153110
6
0.06
Tuna, fresh,
cooked, NS as to
cooking method

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26153120
37
0.39
Tuna, fresh,
baked or broiied

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.000
0.933
26153140
4
0.04
Tuna, fresh,
floured or
breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.000
0.835
26153160
5
0.05
Tuna, fresh,
steamed or
poached

0.993
RAW
0.0%
0.993
0.993
0.000
0.000
0.000
0.993
0.000
0.000
0.993
26155110
369
3.86
Tuna, canned,
NS as to oii or
water pack

1.000
CANNED
25.0%
1.333
1.333
0.000
0.000
0.000
1.333
0.000
0.000
1.333
26155190
1
0.01
Tuna, canned,
water pack

1.000
CANNED
25.0%
1.333
1.333
0.000
0.000
0.000
1.333
0.000
0.000
1.333
26157120
28
0.29
Whiting, baked
or broiied

0.933
RAW
0.0%
0.933
0.933
0.000
0.000
0.000
0.933
0.000
0.933
0.000
26157130
3
0.03
Whiting,
breaded or
battered, baked

0.775
RAW
0.0%
0.775
0.775
0.000
0.000
0.000
0.775
0.000
0.775
0.000
26157140
64
0.67
Whiting, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.835
0.000
0.000
0.000
0.835
0.000
0.835
0.000
26157150
24
0.25
Whiting,
battered, fried

0.752
RAW
0.0%
0.752
0.752
0.000
0.000
0.000
0.752
0.000
0.752
0.000
26158000
17
0.18
Tiiapia, cooked,
NS as to cooking
method

0.933
RAW
0.0%
0.933
0.000
0.467
0.467
0.000
0.933
0.933
0.000
0.000
26158010
187
1.96
Tiiapia, baked or
broiied

0.933
RAW
0.0%
0.933
0.000
0.467
0.467
0.000
0.933
0.933
0.000
0.000
26158020
20
0.21
Tiiapia, breaded
or battered,
baked

0.774
RAW
0.0%
0.774
0.000
0.387
0.387
0.000
0.774
0.774
0.000
0.000
26158030
63
0.66
Tiiapia, floured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.418
0.418
0.000
0.835
0.835
0.000
0.000
B-8

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26158040
21
0.22
Tiiapia, battered,
fried

0.752
RAW
0.0%
0.752
0.000
0.376
0.376
0.000
0.752
0.752
0.000
0.000
26205110
3
0.03
Octopus,
cooked, NS as to
cooking method

0.835
RAW
0.0%
0.835
0.518
0.000
0.317
0.835
0.000
0.000
0.418
0.418
26205160
1
0.01
Octopus,
steamed

0.992
RAW
0.0%
0.992
0.615
0.000
0.377
0.992
0.000
0.000
0.496
0.496
26207110
4
0.04
Roe, shad,
cooked

0.913
RAW
0.0%
0.913
0.078
0.215
0.621
0.000
0.913
0.000
0.000
0.000
26211100
4
0.04
Roe, sturgeon

1.000
RAW
0.0%
1.000
0.085
0.235
0.680
0.000
1.000
0.000
0.000
0.000
26213120
13
0.14
Squid, baked,
broiied

0.963
RAW
0.0%
0.963
0.771
0.000
0.193
0.963
0.000
0.000
0.482
0.482
26213140
41
0.43
Squid, breaded,
fried

0.835
RAW
0.0%
0.835
0.668
0.000
0.167
0.835
0.000
0.000
0.418
0.418
26213160
1
0.01
Squid, steamed
or boiied

0.992
RAW
0.0%
0.992
0.793
0.000
0.198
0.992
0.000
0.000
0.496
0.496
26213170
5
0.05
Squid, dried

0.997
RAW
0.0%
0.997
0.798
0.000
0.199
0.997
0.000
0.000
0.499
0.499
26213190
1
0.01
Squid, canned

0.994
RAW
0.0%
0.994
0.795
0.000
0.199
0.994
0.000
0.000
0.497
0.497
26303100
3
0.03
Ciams, raw

1.000
RAW
0.0%
1.000
0.840
0.000
0.160
1.000
0.000
1.000
0.000
0.000
26303110
6
0.06
Ciams, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.702
0.000
0.134
0.835
0.000
0.835
0.000
0.000
26303120
8
0.08
Ciams, baked or
broiied

0.935
RAW
0.0%
0.935
0.786
Q.OOQ
0.150
0.935
0.000
0.935
0.000
0.000
26303140
11
0.12
Ciams, floured or
breaded, fried

0.837
RAW
0.0%
0.837
0.703
0.000
0.134
0.837
0.000
0.837
0.000
0.000
26303150
6
0.06
Ciams, battered,
fried

0.754
RAW
0.0%
0.754
0.633
0.000
0.121
0.754
0.000
0.754
0.000
0.000
26303160
19
0.2
Ciams, steamed
or boiied

0.992
RAW
0.0%
0.992
0.833
0.000
0.159
0.992
0.000
0.992
0.000
0.000
26303180
3
0.03
Ciams, canned

1.000
RAW
0.0%
1.000
0.840
0.000
0.160
1.000
0.000
1.000
0.000
0.000
26305110
54
0.57
Crab, cooked, NS
as to cooking
method

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.361
0.000
0.961
0.000
1.322
0.000
1.322
0.000
26305120
18
0.19
Crab, baked or
broiied

0.935
COOKED
MOIST HEAT
25.0%
1.247
0.340
0.000
0.907
0.000
1.247
0.000
1.247
0.000
26305160
105
1.1
Crab, hard sheii,
steamed

0.993
COOKED
MOIST HEAT
25.0%
1.325
B-9
0.362
0.000
0.963
0.000
1.325
0.000
1.325
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26307140
8
0.08
Crab, soft sheii,
floured or
breaded, fried

0.680
COOKED
MOIST HEAT
25.0%
0.906
0.247
0.000
0.659
0.000
0.906
0.000
0.906
0.000
26309140
4
0.04
Crayfish, fioured
or breaded, fried

0.755
RAW
0.0%
0.755
0.000
0.755
0.000
0.755
0.000
0.000
0.755
0.000
26309160
16
0.17
Crayfish, boiied
or steamed

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.000
1.322
0.000
1.322
0.000
0.000
1.322
0.000
26311110
9
0.09
Lobster, cooked,
NS as to cooking
method

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.058
0.000
1.264
1.322
0.000
0.000
1.322
0.000
26311120
12
0.13
Lobster, baked
or broiied

0.964
COOKED
MOIST HEAT
25.0%
1.285
0.057
0.000
1.228
1.285
0.000
0.000
1.285
0.000
26311160
13
0.14
Lobster,
steamed or
boiied

0.992
COOKED
MOIST HEAT
25.0%
1.322
0.058
0.000
1.264
1.322
0.000
0.000
1.322
0.000
26313110
6
0.06
Musseis, cooked,
NS as to cooking
method

0.935
RAW
0.0%
0.935
0.000
0.000
0.935
0.935
0.000
0.935
0.000
0.000
26313160
20
0.21
Musseis,
steamed or
poached

0.992
RAW
0.0%
0.992
0.000
0.000
0.992
0.992
0.000
0.992
0.000
0.000
26315100
17
0.18
Oysters, raw

1.000
RAW
0.0%
1.000
0.000
0.000
1.000
0.000
1.000
1.000
0.000
0.000
26315110
2
0.02
Oysters, cooked,
NS as to cooking
method

0.855
RAW
0.0%
0.855
0.000
0.000
0.855
0.000
0.855
0.855
0.000
0.000
26315120
17
0.18
Oysters, baked
or broiied

0.935
RAW
0.0%
0.935
0.000
0.000
0.935
0.000
0.935
0.935
0.000
0.000
26315130
5
0.05
Oysters,
steamed

0.992
RAW
0.0%
0.992
0.000
0.000
0.992
0.000
0.992
0.992
0.000
0.000
26315140
21
0.22
Oysters, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.000
0.835
0.835
0.000
0.000
26315150
23
0.24
Oysters,
battered, fried

0.754
RAW
0.0%
0.754
0.000
0.000
0.754
0.000
0.754
0.754
0.000
0.000
26315180
5
0.05
Oysters, canned

1.000
CANNED
25.0%
1.333
0.000
0.000
1.333
0.000
1.333
1.333
0.000
0.000
26315190
3
0.03
Oysters, smoked

0.993
RAW
0.0%
0.993
0.000
0.000
0.993
0.000
0.993
0.993
0.000
0.000
26317110
11
0.12
Scaiiops, cooked,
NS as to cooking
method

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.835
0.000
0.835
0.000
0.000
26317120
23
0.24
Scaiiops, baked
or broiied

0.963
RAW
0.0%
0.963
0.000
0.000
0.963
0.963
0.000
0.963
0.000
0.000
B-10

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
26317130
2
0.02
Scaiiops,
steamed or
boiied

0.993
RAW
0.0%
0.993
0.000
0.000
0.993
0.993
0.000
0.993
0.000
0.000
26317140
12
0.13
Scaiiops, fioured
or breaded, fried

0.835
RAW
0.0%
0.835
0.000
0.000
0.835
0.835
0.000
0.835
0.000
0.000
26317150
6
0.06
Scaiiops,
battered, fried

0.754
RAW
0.0%
0.754
0.000
0.000
0.754
0.754
0.000
0.754
0.000
0.000
26319110
251
2.63
Shrimp, cooked,
NS as to cooking
method

0.993
RAW
0.0%
0.993
0.175
0.000
0.819
0.993
0.000
0.497
0.497
0.000
26319120
325
3.4
Shrimp, baked or
broiied

0.963
RAW
0.0%
0.963
0.170
0.000
0.794
0.963
0.000
0.482
0.482
0.000
26319130
188
1.97
Shrimp, steamed
or boiied

0.993
RAW
0.0%
0.993
0.175
0.000
0.819
0.993
0.000
0.497
0.497
0.000
26319140
468
4.9
Shrimp, fioured,
breaded, or
battered, fried

0.636
RAW
0.0%
0.636
0.112
0.000
0.524
0.636
0.000
0.318
0.318
0.000
26319170
8
0.08
Shrimp, dried

1.000
CANNED
25.0%
1.333
0.235
0.000
1.099
1.333
0.000
0.667
0.667
0.000
26319180
2
0.02
Shrimp, canned

1.000
CANNED
25.0%
1.333
0.235
0.000
1.099
1.333
0.000
0.667
0.667
0.000
26321110
3
0.03
Snaiis, cooked,
NS as to cooking
method

0.970
RAW
0.0%
0.970
0.436
0.097
0.436
0.000
0.970
0.970
0.000
0.000
27116400
1
0.01
Steak tartare
(raw ground
beef and egg)

0.016
CANNED
25.0%
0.021
0.000
0.000
0.021
0.000
0.021
0.011
0.011
0.000
27150010
2
0.02
Fish with cream
or white sauce,
not tuna or
iobster (mixture)

0.351
CANNED
25.0%
0.468
0.468
0.000
0.000
0.000
0.468
0.000
0.234
0.234
27150020
3
0.03
Crab, deviied

0.471
COOKED
MOIST HEAT
25.0%
0.627
0.171
0.000
0.456
0.000
0.627
0.000
0.627
0.000
27150030
1
0.01
Crab imperiai

0.574
COOKED
MOIST HEAT
25.0%
0.765
0.209
0.000
0.556
0.000
0.765
0.000
0.765
0.000
27150060
1
0.01
Lobster newburg

0.366
COOKED
MOIST HEAT
25,0%
0.488
0.021
0.000
0.466
0.488
0.000
0.000
0.488
0.000
27150070
2
0.02
Lobster with
butter sauce
(mixture)

0.773
COOKED
MOIST HEAT
25.0%
1.031
0.045
0.000
0.985
1.031
0.000
0.000
1.031
0.000
27150100
4
0.04
Shrimp curry

0.364
CANNED
25.0%
0.485
0.085
0.000
0.400
0.485
0.000
0.242
0.242
0.000
B-ll

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27150110
75
0.79
Shrimp cocktaii
(shrimp with
cocktaii sauce)

0.654
COOKED
MOIST HEAT
25.0%
0.872
0.153
0.000
0.719
0.872
0.000
0.436
0.436
0.000
27150120
1
0.01
Tuna with cream
or white sauce
(mixture)

0.342
CANNED
25.0%
0.456
0.456
0.000
0.000
0.000
0.456
0.000
0.000
0.456
27150130
11
0.12
Seafood
newburg
Crustaceans,
crab, biue,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.044
0.000
0.118
0.000
0.163
0.000
0.163
0.000
27150130


Seafood
newburg
Crustaceans,
iobster,
northern,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.007
0.000
0.155
0.163
0.000
0.000
0.163
0.000
27150130


Seafood
newburg
Crustaceans,
shrimp, mixed
species,
cooked, moist
heat
0.122
COOKED
MOIST HEAT
25.0%
0.163
0.029
0.000
0.134
0.163
0.000
0.081
0.081
0.000
27150140
3
0.03
Ciam sauce,
white

0.653
CANNED
25.0%
0.871
0.732
0.000
0.139
0.871
0.000
0.871
0.000
0.000
27150160
3
0.03
Shrimp with
iobster sauce
(mixture)

0.472
CANNED
25.0%
0.629
0.111
0.000
0.519
0.629
0.000
0.315
0.315
0.000
27150170
8
0.08
Sweet and sour
shrimp

0.339
RAW
0.0%
0.339
0.060
0.000
0.279
0.339
0.000
0.169
0.169
0.000
27150200
10
0.1
Oyster sauce
(white sauce-
based)

0.494
CANNED
25.0%
0.659
0.000
0.000
0.659
0.000
0.659
0.659
0.000
0.000
27150210
47
0.49
Fish sauce
(bagoong)

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27150230
42
0.44
Shrimp scampi

0.819
CANNED
25.0%
1.091
0.192
0.000
0.899
1.091
0.000
0.546
0.546
0.000
27150310
13
0.14
Fish with
tomato-based
sauce (mixture)

0.653
RAW
0.0%
0.653
0.568
0.000
0.085
0.000
0.653
0.000
0.327
0.327
27150320
18
0.19
Fish curry

0.371
RAW
0.0%
0.371
0.371
0.000
0.000
0.000
0.371
0.000
0.186
0.186
27150330
1
0.01
Mussels with
tomato-based
sauce (mixture)

0.800
RAW
0.0%
0.800
B-12
0.000
0.000
0.800
0.800
0.000
0.800
0.000
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27150350
3
0.03
Sardines with
tomato-based
sauce (mixture)

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
27150370
2
0.02
Sardines with
mustard sauce
(mixture)

1.000
CANNED
25.0%
1.333
1.200
0.000
0.133
0.000
1.333
0.000
1.333
0.000
27150410
3
0.03
Shrimp teriyaki
(shrimp with
soy-based sauce)
(mixture)

0.880
COOKED
MOIST HEAT
25.0%
1.173
0.207
0.000
0.967
1.173
0.000
0.587
0.587
0.000
27150510
1
0.01
Scaiiops with
cheese sauce
(mixture)

0.497
STEAMED
21.0%
0.629
0.000
0.000
0.629
0.629
0.000
0.629
0.000
0.000
27151030
60
0.63
Marinated fish
(Ceviche)

0.534
RAW
0.0%
0.534
0.494
0.013
0.027
0.000
0.534
0.000
0.000
0.534
27151040
2
0.02
Crabs in tomato-
based sauce,
Puerto Rican
styie (mixture)
(Saimorejo de
jueyes)

0.616
COOKED
MOIST HEAT
25.0%
0.822
0.224
0.000
0.598
0.000
0.822
0.000
0.822
0.000
27151050
5
0.05
Shrimp in gariic
sauce, Puerto
Rican styie
(mixture)
(Camarones ai
ajiiio)

0.654
RAW
0.0%
0.654
0.115
0.000
0.539
0.654
0.000
0.327
0.327
0.000
27151070
2
0.02
Stewed codfish,
Puerto Rican
styie, no
potatoes
(potatoes
reported
separately)

0.210
SALTED
30.0%
0300
0300
0.000
0.000
0.000
0.300
0.000
0.150
0.150
27250020
1
0.01
Ciams, stuffed

0.530
RAW
0.0%
0.530
0.445
0.000
0.085
0.530
0.000
0.530
0.000
0.000
27250030
8
0.08
Codfish ball or
cake

0.442
CANNED
25.0%
0.589
0.589
0.000
0.000
0.000
0.589
0.000
0.295
0.295
27250040
78
0.82
Crab cake

0.686
COOKED
MOIST HEAT
25.0%
0.915
0.250
0.000
0.665
0.000
0.915
0.000
0.915
0.000
27250050
6
0.06
Fish cake or
patty, NS as to
fish

0.442
CANNED
25.0%
0.589
B-13
0.589
0.000
0.000
0.000
0.589
0.000
0.295
0.295

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27250070
103
1.08
Salmon cake or
patty

0.474
CANNED
25.0%
0.631
0.606
0.003
0.022
0.000
0.631
0.000
0.000
0.631
27250110
1
0.01
Scaiiops and
noodies with
cheese sauce
(mixture)

0.373
STEAMED
21.0%
0.472
0.000
0.000
0.472
0.472
0.000
0.472
0.000
0.000
27250120
18
0.19
Shrimp and
noodies, no
sauce (mixture)

0.339
CANNED
25.0%
0.452
0.080
0.000
0.373
0.452
0.000
0.226
0.226
0.000
27250122
1
0.01
Shrimp and
noodies with
gravy (mixture)

0.195
CANNED
25.0%
0.260
0.046
0.000
0.214
0.260
0.000
0.130
0.130
0.000
27250124
1
0.01
Shrimp and
noodies with
(mushroom)
soup (mixture)

0.215
CANNED
25.0%
0.287
0.050
0.000
0.236
0.287
0.000
0.143
0.143
0.000
27250126
13
0.14
Shrimp and
noodies with
cream or white
sauce (mixture)

0.198
CANNED
25.0%
0.264
0.047
0.000
0.218
0.264
0.000
0.132
0.132
0.000
27250128
4
0.04
Shrimp and
noodies with
soy-based sauce
(mixture)

0.221
CANNED
25.0%
0.294
0.052
0.000
0.242
0.294
0.000
0.147
0.147
0.000
27250130
50
0.52
Shrimp and
noodies with
cheese sauce
(mixture)

0.373
COOKED
MOIST HEAT
25.0%
0.498
0.088
0.000
0.410
0.498
0.000
0.249
0.249
0.000
27250132
19
0.2
Shrimp and
noodies with
tomato sauce
(mixture)

0.246
CANNED
25.0%
0.328
0.058
0.000
0.270
0.328
0.000
0.164
0.164
0.000
27250160
18
0.19
Tuna cake or
patty

0.489
CANNED
25.0%
0.652
0.652
0.000
0.000
0.000
0.652
0.000
0.000
0.652
27250210
2
0.02
Ciam cake or
patty

0.509
CANNED
25.0%
0.679
0.570
0.000
0.109
0.679
0.000
0.679
0.000
0.000
27250220
1
0.01
Oyster fritter

0.510
RAW
0.0%
0.510
0.000
0.000
0.510
0.000
0.510
0.510
0.000
0.000
27250250
4
0.04
Fiounder with
crab stuffing
FISH, FLATFISH
(FLOUNDER
AND SOLE
SPECIES), RAW
0.634
RAW
0.0%
0.634
0.552
0.000
0.082
0.000
0.634
0.000
0.317
0.317
B-14

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27250250


Flounder with
crab stuffing
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.159
COOKED
MOIST HEAT
25.0%
0.211
0.058
0.000
0.154
0.000
0.211
0.000
0.211
0.000
27250260
1
0.01
Lobster with
bread stuffing,
baked

0.686
COOKED
MOIST HEAT
25.0%
0.914
0.040
0.000
0.874
0.914
0.000
0.000
0.914
0.000
27250400
8
0.08
Shrimp cake or
patty

0.475
CANNED
25.0%
0.633
0.111
0.000
0.522
0.633
0.000
0.317
0.317
0.000
27250410
8
0.08
Shrimp with crab
stuffing
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.410
COOKED
MOIST HEAT
25.0%
0.546
0.149
0.000
0.397
0.000
0.546
0.000
0.546
0.000
27250410


Shrimp with crab
stuffing
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.376
RAW
0.0%
0.376
0.066
0.000
0.310
0.376
0.000
0.188
0.188
0.000
27250450
1
0.01
Shrimp toast,
fried

0.331
RAW
0.0%
0.331
0.058
0.000
0.273
0.331
0.000
0.166
0.166
0.000
27250510
1
0.01
Fish cake
(Kamaboko)
tempura

0.603
RAW
0.0%
0.603
0.603
0.000
0.000
0.000
0.603
0.000
0.301
0.301
27250520
59
0.62
Seafood
restructured

1.000
RESTRUCTUR
ED
25.0%
1.333
0.364
0.000
0.969
0.000
1.333
0.000
1.333
0.000
27250610
65
0.68
Tuna noodie
casseroie with
cream or white
sauce

0.281
CANNED
25.0%
0.375
0.375
0.000
0.000
0.000
0.375
0.000
0.000
0.375
27250630
2
0.02
Tuna noodie
casseroie with
(mushroom)
soup

0.278
CANNED
25.0%
0.371
0.371
0.000
0.000
0.000
0.371
0.000
0.000
0.371
27250810
4
0.04
Fish and rice
with tomato-
based sauce

0.195
CANNED
25.0%
0.261
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261
27250820
1
0.01
Fish and rice
with cream
sauce

0.196
CANNED
25.0%
0.261
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261
27250830
1
0.01
Fish and rice
with
(mushroom)
soup

0.195
CANNED
25.0%
0.261
B-15
0.261
0.000
0.000
0.000
0.261
0.000
0.000
0.261

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27250900
5
0.05
Fish and noodles
with
(mushroom)
soup

0.218
CANNED
25.0%
0.291
0.291
0.000
0.000
0.000
0.291
0.000
0.000
0.291
27250950
5
0.05
Shellfish mixture
and noodles,
tomato-based
sauce (mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.076
CANNED
25.0%
0.102
0.018
0.000
0.084
0.102
0.000
0.051
0.051
0.000
27250950


Shellfish mixture
and noodles,
tomato-based
sauce (mixture)
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.076
RAW
0.0%
0.076
0.064
0.000
0.012
0.076
0.000
0.076
0.000
0.000
27250950


Shellfish mixture
and noodles,
tomato-based
sauce (mixture)
MOLLUSKS,
SCALLOP,
MIXED SPECIES,
RAW
0.076
RAW
0.0%
0.076
0.000
0.000
0.076
0.076
0.000
0.076
0.000
0.000
27350020
2
0.02
Paella with
seafood
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.021
RAW
0.0%
0.021
0.004
0.000
0.017
0.021
0.000
0.011
0.011
0.000
27350020


Paella with
seafood
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.102
RAW
0.0%
0.102
0.085
0.000
0.016
0.102
0.000
0.102
0.000
0.000
27350030
4
0.04
Seafood stew
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy), tomato-
base sauce
FISH, PERCH,
MIXED SPECIES,
RAW
0.081
RAW
0.0%
0.081
0.000
0.081
0.000
0.000
0.081
0.000
0.000
0.081
27350030


Seafood stew
with potatoes
CRUSTACEANS,
SHRIMP, MIXED
0.081
COOKED
MOIST HEAT
25.0%
0.108
0.019
0.000
0.089
0.108
0.000
0.054
0.054
0.000
and vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy), tomato-
base sauce
SPECIES,
COOKED,
MOIST HEAT
B-16

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27350030


Seafood stew
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy), tomato-
base sauce
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.163
RAW
0.0%
0.163
0.137
0.000
0.026
0.163
0.000
0.163
0.000
0.000
27350050
17
0.18
Shrimp chow
mein or chop
suey with
noodies

0.191
CANNED
25.0%
0.254
0.045
0.000
0.210
0.254
0.000
0.127
0.127
0.000
27350060
32
0.34
Shrimp creoie,
with rice

0.369
CANNED
25.0%
0.492
0.087
0.000
0.406
0.492
0.000
0.246
0.246
0.000
27350080
16
0.17
Tuna noodie
casseroie with
vegetables,
cream or white
sauce

0.161
CANNED
25.0%
0.215
0.215
0.000
0.000
0.000
0.215
0.000
0.000
0.215
27350110
18
0.19
Bouiiiabaisse
FISH, HALIBUT,
ATLANTIC AND
PACIFIC, RAW
0.103
RAW
0.0%
0.103
0.081
0.000
0.023
0.000
0.103
0.000
0.000
0.103
27350110


Bouiiiabaisse
FISH,
POMPANO,
FLORIDA, RAW
0.103
RAW
0.0%
0.103
0.068
0.000
0.035
0.000
0.103
0.000
0.000
0.103
27350110


Bouiiiabaisse
FISH, SNAPPER,
MIXED SPECIES,
RAW
0.103
RAW
0.0%
0.103
0.101
0.000
0.002
0.000
0.103
0.000
0.000
0.103
27350110


Bouiiiabaisse
CRUSTACEANS,
LOBSTER,
NORTHERN,
RAW
0.052
RAW
0.0%
0.052
0.002
0.000
0.049
0.052
0.000
0.000
0.052
0.000
27350110


Bouiiiabaisse
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.052
RAW
0.0%
0.052
0.009
0.000
0.043
0.052
0.000
0.026
0.026
0.000
27350110


Bouiiiabaisse
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.052
RAW
0.0%
0.052
0.043
0.000
0.008
0.052
0.000
0.052
0.000
0.000
27350110


Bouiiiabaisse
MOLLUSKS,
MUSSEL, BLUE,
RAW
0.052
RAW
0.0%
0.052
B-17
0.000
0.000
0.052
0.052
0.000
0.052
0.000
0.000

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27350110


Bouillabaisse
MOLLUSKS,
SCALLOP,
MIXED SPECIES,
RAW
0.103
RAW
0.0%
0.103
0.000
0.000
0.103
0.103
0.000
0.103
0.000
0.000
27350310
5
0.05
Seafood stew
with potatoes
and vegetables
FISH, PERCH,
MIXED SPECIES,
RAW
0.083
RAW
0.0%
0.083
0.000
0.083
0.000
0.000
0.083
0.000
0.000
0.083
(inciuding
carrots, broccoli,
and/or dark-
green ieafy),
tomato-base
	sauce	
27350310	Seafood stew
with potatoes
and vegetables
(inciuding
carrots, broccoii
and/or dark-
green ieafy),
tomato-base
	sauce	
27350310	Seafood stew
with potatoes
and vegetables
(inciuding
carrots, broccoii
and/or dark-
green ieafy),
tomato-base
	sauce	
27350410 3	O03	Tuna noodie	0.238	CANNED	25.0%	0.317 0.317	0.000	0.000	0.000	0.317	0.000	0.000	0.317
casseroie with
vegetables and
(mushroom)
	soup	
27360080 5	0.05	Chow mein or	0.057	CANNED	25.0%	0.076 0.013	0.000	0.062	0.076	0.000	0.038	0.038	0.000
chop suey, NS as
to type of meat,
	with noodles		
27360090 9	0.09	Paella, NFS	CRUSTACEANS, 0.025	RAW	0.0%	0.025 0.004	0.000	0.021	0.025	0.000	0.013	0.013	0.000
SHRIMP, MIXED
SPECIES, RAW
CRUSTACEANS, 0.083	COOKED	25.0%	0.110 0.019	0.000	0.091	0.110	0.000	0.055	0.055	0.000
SHRIMP, MIXED	MOIST HEAT
SPECIES,
COOKED,
MOIST HEAT
MOLLUSKS,	0.166	RAW	0.0%	0.166 0.139	0.000	0.026	0.166	0.000	0.166	0.000	0.000
CLAM, MIXED
SPECIES, RAW
B-18

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27360090


Paella, NFS
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.105
RAW
0.0%
0.105
0.088
0.000
0.017
0.105
0.000
0.105
0.000
0.000
27363000
55
0.58
Gumbo with rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra,
rice)
CRUSTACEANS,
CRAB, BLUE,
COOKED,
MOIST HEAT
0.017
COOKED
MOIST HEAT
25.0%
0.023
0.006
0.000
0.017
0.000
0.023
0.000
0.023
0.000
27363000


Gumbo with rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra,
rice)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.017
RAW
0.0%
0.017
0.003
0.000
0.014
0.017
0.000
0.008
0.008
0.000
27363000


Gumbo with rice
MOLLUSKS,
0.048
RAW
0.0%
0.048
0.000
0.000
0.048
0.000
0.048
0.048
0.000
0.000
(New Orleans OYSTER,
type with	EASTERN,
shellfish, pork, WILD, RAW
and/or poultry,
tomatoes, okra,
	rice)	
27420200 1	0.01	Pork hash,	0.063	RAW	0.0%	0.063 0.011	0.000	0.052	0.063	0.000	0.031	0.031	0.000
Hawaiian style-
ground pork,
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), soy-
based sauce
27450010
20
0.21
Crab salad
0.642
COOKED
MOIST HEAT
25.0%
0.856
0.234
0.000
0.622
0.000
0.856
0.000
0.856
0.000
27450020
4
0.04
Lobster salad
0.204
COOKED
MOIST HEAT
25.0%
0.272
0.012
0.000
0.260
0.272
0.000
0.000
0.272
0.000
27450030
15
0.16
Salmon salad
0.526
CANNED
25.0%
0.701
0.673
0.004
0.025
0.000
0.701
0.000
0.000
0.701
27450040
6
0.06
Shrimp chow
mein or chop
suey, no noodles
0.214
CANNED
25.0%
0.285
0.050
0.000
0.235
0.285
0.000
0.142
0.142
0.000
B-19

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27450060
742
7.77
Tuna saiad

0.546
CANNED
25.0%
0.728
0.728
0.000
0.000
0.000
0.728
0.000
0.000
0.728
27450070
16
0.17
Shrimp saiad

0.620
CANNED
25.0%
0.827
0.146
0.000
0.681
0.827
0.000
0.413
0.413
0.000
27450080
38
0.4
Seafood saiad
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.200
CANNED
25.0%
0.266
0.073
0.000
0.194
0.000
0.266
0,000
0.266
0.000
27450080


Seafood saiad
CRUSTACEANS,
LOBSTER,
NORTHERN,
COOKED,
MOIST HEAT
0.200
COOKED
MOIST HEAT
25.0%
0.266
0.012
0.000
0.255
0.266
0.000
0.000
0.266
0.000
27450080


Seafood saiad
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.200
CANNED
25.0%
0.266
0.047
0.000
0.219
0.266
0.000
0.133
0.133
0.000
27450090
17
0.18
Tuna saiad with
cheese

0.466
CANNED
25.0%
0.621
0.621
0.000
0.000
0.000
0.621
0.000
0.000
0.621
27450100
123
1.29
Tuna saiad with
egg

0.473
CANNED
25.0%
0.630
0.630
0.000
0.000
0.000
0.630
0.000
0.000
0.630
27450120
2
0.02
Shrimp garden
saiad (shrimp,
iettuce, eggs,
vegetabies
exciuding
tomato and
carrots), no
dressing

0.428
CANNED
25.0%
0.571
0.100
0.000
0.470
0.571
0.000
0.285
0.285
0.000
27450130
17
0.18
Crab saiad made
with imitation
crab

0.642
RESTRUCTUR
ED
25.0%
0.856
0.445
0.137
0.274
0.000
0.856
0.000
0.428
0.428
27450150
2
0.02
Fish, tofu, and
vegetabies,
tempura,
Hawaiian styie
(mixture)

0.060
CANNED
25.0%
0.079
0.014
0.000
0.065
0.079
0.000
0.040
0.040
0.000
27450180
1
0.01
Seafood garden
saiad with
seafood, iettuce,
vegetabies
exciuding
tomato and
carrots, no
dressing
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.150
CANNED
25.0%
0.200
0.055
0.000
0.145
0.000
0.200
0.000
0.200
0.000
B-20

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450180


Seafood garden
saiad with
seafood, iettuce,
vegetables
excluding
tomato and
carrots, no
dressing
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.150
CANNED
25.0%
0.200
0.035
0.000
0.165
0.200
0.000
0.100
0.100
0.000
27450310
2
0.02
Lomi saimon

0.349
CANNED
25.0%
0.466
0.447
0.002
0.016
0.000
0.466
0.000
0.000
0.466
27450400
16
0.17
Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), no
sauce (mixture)

0.241
STEAMED
21.0%
0.305
0.054
0.000
0.252
0.305
0.000
0.153
0.153
0.000
27450405
16
0.17
Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes)), no
sauce (mixture)

0.374
STEAMED
21.0%
0.473
0.083
0.000
0.390
0.473
0.000
0.236
0.236
0.000
27450410
99
1.04
Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450410


Shrimp and
vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes)), soy-
based sauce
(mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.322
COOKED
MOIST HEAT
25.0%
0.430
0.076
0.000
0.354
0.430
0.000
0.215
0.215
0.000
B-21

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
27450420
27
0.28
Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450420


Shrimp and
vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
(mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.327
COOKED
MOIST HEAT
25.0%
0.435
0.077
0.000
0.359
0.435
0.000
0.218
0.218
0.000
27450430
6
0.06
Shrimp shish
kabob with
vegetables,
excluding
potatoes

0.383
BAKED
25.0%
0.510
0.090
0.000
0.420
0.510
0.000
0.255
0.255
0.000
27450450
19
0.2
Shrimp Creole,
no rice

0.510
STEAMED
21.0%
0.645
0.114
0.000
0.532
0.645
0.000
0.323
0.323
0.000
27450470
5
0.05
Kung Pao shrimp

0.623
RAW
0.0%
0.623
0.110
0.000
0.514
0.623
0.000
0.312
0.312
0.000
27450510
2
0.02
Tuna casserole
with vegetables
and (mushroom)
soup, no noodles

0.321
CANNED
25.0%
0.428
0.428
0.000
0.000
0.000
0.428
0.000
0.000
0.428
27450600
2
0.02
Shellfish mixture
and vegetables
(including
carrots, broccoli,
and/or dark-
green ieafy (no
potatoes)), soy-
based sauce
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
B 22

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450600


Sheiifish mixture
and vegetables
(inciuding
carrots, broccoli,
and/or dark-
green ieafy (no
potatoes)), soy-
based sauce
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.161
COOKED
MOIST HEAT
25.0%
0.215
0.038
0.000
0.177
0.215
0.000
0.107
0.107
0.000
27450600


Sheiifish mixture
and vegetables
(inciuding
carrots, broccoii,
and/or dark-
green ieafy (no
potatoes)), soy-
based sauce
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.161
CANNED
25.0%
0.215
0.180
0.000
0.034
0.215
0.000
0.215
0.000
0.000
27450610
1
0.01
Sheiifish mixture
and vegetables
(excluding
carrots, broccoii,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
27450610


Sheiifish mixture
and vegetables
(excluding
carrots, broccoii,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.163
COOKED
MOIST HEAT
25.0%
0.218
0.038
0.000
0.179
0.218
0.000
0.109
0.109
0.000
27450610


Sheiifish mixture
and vegetables
(excluding
carrots, broccoii,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.163
CANNED
25.0%
0.218
0.183
0.000
0.035
0.218
0.000
0.218
0.000
0.000
B-23

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27450650
1
0.01
Sheiifish mixture
and vegetables
(inciuding
carrots, broccoli,
and/or dark-
green ieafy (no
potatoes)),
(mushroom)
soup (mixture)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.133
RAW
0.0%
0.133
0.023
0.000
0.110
0.133
0.000
0.066
0.066
0.000
27450650


Sheiifish mixture
and vegetables
(inciuding
carrots, broccoii,
and/or dark-
green ieafy (no
potatoes)),
(mushroom)
soup (mixture)
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.133
RAW
0.0%
0.133
0.112
0.000
0.021
0.133
0.000
0.133
0.000
0.000
27450660
1
0.01
Sheiifish mixture
CRUSTACEANS,
0.127
RAW
0.0%
0.127
0.022
0.000
0.105
0.127
0.000
0.064
0.064
0.000



and vegetables
SHRIMP, MIXED














(excluding
SPECIES, RAW















carrots, broccoii,
















and dark-green
















ieafy (no
















potatoes)),
















(mushroom)
















soup (mixture)













27450660


Sheiifish mixture
MOLLUSKS,
0.179
CANNED
25.0%
0.239
0.201
0.000
0.038
0.239
0.000
0.239
0.000
0.000



and vegetables
CLAM, MIXED














(excluding
SPECIES,















carrots, broccoii,
CANNED,















and dark-green
DRAINED















ieafy (no
SOLIDS















potatoes)),
















(mushroom)
















soup (mixture)













27450700
8
0.08
Fish and
vegetables
(inciuding
carrots, broccoii,
and/or dark-
green ieafy (no
potatoes)),

0.560
RAW
0.0%
0.560
0.487
0.000
0.073
0.000
0.560
0.000
0.280
0.280
B-24

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





tomato-based
sauce (mixture)
27450710 14	0.15
Fish and
vegetables
(excluding
carrots, broccoli,
and dark- green
ieafy (no
potatoes)),
tomato-based
sauce (mixture)
0.555	RAW	0.0%	0.555 0.483	0.000	0.072	0.000	0.555	0.000	0.277	0.277
27450740 5	0.05
Fish and
vegetables
(including
carrots, broccoli,
and/or dark-
green ieafy (no
potatoes)), soy-
based sauce
(mixture)	
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000	SOUP	25.0%	0.000 0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.C
Fish and
vegetables
(including
carrots, broccoli,
and/or dark-
green ieafy (no
potatoes)), soy-
based sauce
(mixture)	
FISH, COD,
ATLANTIC,
COOKED, DRY
HEAT
COOKED DRY 25.C
HEAT
0.449 0.449	0.000	0.000	0.000	0.449	0.000	0.224	0.224
27450750 9	0.09
Fish and
vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
(mixture)
SOUP, STOCK,
FISH, HOME-
PREPARED
0.000	SOUP	25.0%	0.000 0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.C
B 25

-------
Food	Number	Percent Main food
code	of	of total description
records	fish
in data	records
Fish ingredient Proportion Pre-
Moisture Multipl Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier
description, if of recipe	processing loss due to ier for for marine for
multiple
ingredients
that is fish
ingredient
of fish
ingredient
pre-
processing
Total
Fish
fish
freshwater
fish
for
estuarine
fish
for shellfish forfinfish for trophic for trophic for trophic
level 2	level 3	level 4
Fish and
vegetables
(excluding
carrots, broccoli,
and dark-green
ieafy (no
potatoes)), soy-
based sauce
(mixture)	
FiSH, COD,
ATLANTIC,
COOKED, DRY
HEAT
COOKED DRY 25.C
HEAT
0.454 0.454
27451030 1	0.01
Lobster with
sauce, Puerto
Rican style
(Langosta a la
crioiia)	
RAW	0.C
0.422 0.019	0.C
0.403	0.422	0.C
0.000	0.422	0.C
27460510 16	0.17
Antipasto with
ham, fish,
cheese,
vegetables
CANNED	25.C
0.000	0.087	0.0
0.087	0.043	0.043	0.C
27464000 41	0.43
Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
CRUSTACEANS, 0.019
CRAB, BLUE,
COOKED,
MOIST HEAT
COOKED	25.C
MOIST HEAT
0.025 0.007	0.C
0.018	0.0
0.025	0.000	0.025	0.C
Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
CRUSTACEANS, 0.018
SHRIMP, MIXED
SPECIES, RAW
RAW	0.C
0.018 0.003	0.C
0.015	0.018	0.C
0.009	0.009	0.C
Gumbo, no rice
(New Orleans
type with
shellfish, pork,
and/or poultry,
tomatoes, okra)
MOLLUSKS,
OYSTER,
EASTERN,
WILD, RAW
RAW	0.C
0.000	0.052	0.C
0.052	0.052	0.000	0.C
27550000 55	0.58
Fish sandwich,
on bun, with
spread
PREHEATED 25.C
0.277 0.144
27550100 115	1.2
Fish sandwich,
on bun, with
cheese and
spread
PREHEATED 25.C
0.230 0.120
B-26

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





27550720
2
0.02
Tuna saiad
sandwich

0.358
CANNED
25.0%
0.477
0.477
0.000
0.000
0.000
0.477
0.000
0.000
0.477
27550750
61
0.64
Tuna salad
submarine
sandwich, with
iettuce and
tomato

0.240
CANNED
25.0%
0.319
0.319
0.000
0.000
0.000
0.319
0.000
0.000
0.319
27550751
11
0.12
Tuna salad
submarine
sandwich, with
cheese, iettuce
and tomato

0.217
CANNED
25.0%
0.289
0.289
0.000
0.000
0.000
0.289
0.000
0.000
0.289
28120310
2
0.02
Pork with rice,
vegetable, in
soy-based sauce
(diet frozen
meai)

0.010
COOKED
MOIST HEAT
25.0%
0.013
0.000
0.000
0.013
0.000
0.013
0.013
0.000
0.000
28150000
1
0.01
Fish dinner, NFS
(frozen meai)

0.242
PREHEATED
25.0%
0.323
0.168
0.052
0.103
0.000
0.323
0.000
0.161
0.161
28150210
5
0.05
Haddock with
chopped spinach
(diet frozen
meai)

0.414
RAW
0.0%
0.414
0.391
0.021
0.002
0.000
0.414
0.000
0.207
0.207
28150220
2
0.02
Flounder with
chopped broccoli
(diet frozen
meai)

0.348
RAW
0.0%
0.348
0.302
0.000
0.045
0.000
0.348
0.000
0.174
0.174
28150510
3
0.03
Fish in lemon-
butter sauce
with starch item,
vegetable
(frozen meai)

0.240
RAW
0.0%
0.240
0.240
0.000
0.000
0.000
0.240
0.000
0.120
0.120
28150650
7
0.07
Fish, breaded, or
fish sticks, with
pasta, vegetable
and dessert
(frozen meai)

0.082
PREHEATED
25.0%
0.109
0.057
0.017
0.035
0.000
0.109
0.000
0.054
0.054
28152030
1
0.01
Seafood
newburg with
rice, vegetable
(frozen meai)
CRUSTACEANS,
LOBSTER,
NORTHERN,
COOKED,
MOIST HEAT
0.010
COOKED
MOIST HEAT
25.0%
0.013
0.001
0.000
0.013
0.013
0.000
0.000
0.013
0.000
B-27

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





28152030


Seafood
newburg with
rice, vegetable
(frozen rneai)
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.080
CANNED
25.0%
0.107
0.019
0.000
0.088
0.107
0.000
0.053
0.053
0.000
28152030


Seafood
newburg with
rice, vegetable
(frozen rneai)
CODFISH BALL
OR CAKE
0.053
BAKED
25.0%
0.071
0.071
0.000
0.000
0.000
0.071
0.000
0.035
0.035
28152050
5
0.05
Shrimp with rice,
vegetable
(frozen rneai)

0.095
CANNED
25.0%
0.127
0.022
0.000
0.105
0.127
0.000
0.063
0.063
0.000
28154010
5
0.05
Shrimp and
vegetables in
sauce with
noodles (diet
frozen meal)

0.139
CANNED
25.0%
0.185
0.033
0.000
0.153
0.185
0.000
0.093
0.093
0.000
28310330
27
0.28
Beef and rice
noodle soup,
Oriental style
(Vietnamese Pho
Bo)

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28320300
8
0.08
Pork with
vegetable
(excluding
carrots, broccoli
and/or dark-
green leafy)
soup, Oriental
Style

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28350040
1
0.01
Fish stock, home
recipe

0.000
SOUP
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
28350050
16
0.17
Fish chowder

0.325
RAW
0.0%
0.325
0.325
0.000
0.000
0.000
0.325
0.000
0.162
0.162
28350110
6
0.06
Crab soup, NS as
to tomato-base
or cream style

0.222
COOKED
MOIST HEAT
25.0%
0.296
0.081
0.000
0.215
0.000
0.296
0.000
0.296
0.000
28350120
1
0.01
Crab soup,
tomato-base

0.221
COOKED
MOIST HEAT
25,0%
0.295
0.080
0.000
0.214
0.000
0.295
0.000
0.295
0.000
28350210
15
0.16
Clam chowder,
NSasto
Manhattan or

0.399
CANNED
25.0%
0.532
0.447
0.000
0.085
0.532
0.000
0.532
0.000
0.000
B-28

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
New England
styie
28350220
10
0.1
Ciarn chowder,
Manhattan

0.311
CANNED
25.0%
0.415
0.348
0.000
0.066
0.415
0.000
0.415
0.000
0.000
28351110
51
0.53
Fish and
vegetable soup,
no potatoes
(Sopa de
pescado)

0.227
RAW
0.0%
0.227
0.227
0.000
0.000
0.000
0.227
0.000
0.114
0.114
28351120
15
0.16
Fish soup, with
potatoes (Sopa
de Pescado)

0.237
RAW
0.0%
0.237
0.237
0.000
0.000
0.000
0.237
0.000
0.118
0.118
28355110
71
0.74
Ciarn chowder,
New Engiand, NS
as to prepared
with water or
rniik

0.399
CANNED
25.0%
0.532
0.447
0.000
0.085
0.532
0.000
0.532
0.000
0.000
28355120
11
0.12
Ciarn chowder,
New Engiand,
prepared with
rniik

0.507
CANNED
25.0%
0.676
0.567
0.000
0.108
0.676
0.000
0.676
0.000
0.000
28355130
8
0.08
Ciarn chowder,
New Engiand,
prepared with
water

0.405
CANNED
25.0%
0.540
0.454
Q.000
0.086
0.540
0.000
0.540
0.000
0.000
28355140
33
0.35
Ciarn chowder,
New Engiand,
canned, reduced
sodium, ready-
to-serve

0.402
CANNED
25.0%
0.536
0.450
0.000
0.086
0.536
0.000
0.536
0.000
0.000
28355210
4
0.04
Crab soup,
cream of,
prepared with
rniik

0.267
COOKED
MOIST HEAT
25.0%
0.356
0.097
0.000
0.259
0.000
0.356
0.000
0.356
0.000
28355250
8
0.08
Lobster bisque

0.238
COOKED
MOIST HEAT
25.0%
0.317
0.014
0.000
0.303
0.317
0.000
0.000
0.317
0.000
28355310
11
0.12
Oyster stew

0.322
RAW
0.0%
0.322
0.000
0.000
0.322
0.000
0.322
0.322
0.000
0.000
28355350
2
0.02
Saimon soup,
cream styie

0.452
CANNED
25.0%
0.602
B-29
0.578
0.003
0.021
0.000
0.602
0.000
0.000
0.602

-------
Food	Number	Percent Main food
code	of	of total description
records	fish
in data	records
Fish ingredient Proportion Pre-	Moisture	Multipl Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier Multiplier
description, if of recipe	processing loss due to ier for for marine for	for	for shellfish forfinfish for trophic for trophic for trophic
multiple	that is fish offish	pre-	Total fish	freshwater estuarine	level 2	level 3	level 4
ingredients	ingredient	ingredient	processing	Fish	fish	fish		
28355410 14
0.15
Shrimp soup,
cream of, NS as
to prepared with
miik or water
0.031	CANNED	25.0%	0.041 0.007	0.000	0.034	0.041
0.000
0.020	0.020	0.C
28355420 1	0.01
Shrimp soup,
cream of,
prepared with
miik
0.239	CANNED	25.C
0.319 0.056	0.C
0.263	0.319
0.159	0.159	0.C
28355430 10	0.1
Shrimp soup,
cream of,
prepared with
water
0.041 0.007
28355440 3	0.03
Shrimp gumbo
0.144 0.025
0.118
28355450 48	0.5
Seafood soup
with potatoes
and vegetables
(including
carrots, broccoli,
and/or dark-
green leafy)
0.117 0.117
28355460 13
Seafood soup
with potatoes
and vegetables
(excluding
carrots, broccoli,
and dark-green
leafy)	
0.115	RAW	0.0%	0.115 0.115	0.000	0.000	0.000	0.115	0.000	0.058	0.058
28355470 30
Seafood soup
with vegetables
(including
carrots, broccoli,
and/or dark-
green leafy (no
potatoes))	
0.119	RAW	0.0%	0.119 0.119	0.C
0.000	0.C
0.119	0.000	0.059	0.059
28355480 29
Seafood soup
with vegetables
(excluding
carrots, broccoli,
and dark-green
leafy (no
potatoes))
0.116	RAW	0.0%	0.116 0.116	0.C
0.000	0.0
0.116	0.000	0.058	0.058
B-30

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
32105013
1
0.01
Egg omeiet or
scrambled egg,
with seafood

0.171
COOKED
MOIST HEAT
25.0%
0.228
0.040
0.000
0.188
0.228
0.000
0.114
0.114
0.000
32105020
10
0.1
Egg omeiet or
scrambied egg,
with fish

0.149
CANNED
25.0%
0.199
0.191
0.001
0.007
0.000
0.199
0.000
0.000
0.199
32105230
14
0.15
Shrimp egg foo
yung (young)

0.110
CANNED
25.0%
0.147
0.026
0.000
0.121
0.147
0.000
0.073
0.073
0.000
32110150
1
0.01
Shrimp-egg patty
(Torta de
Cameron seco)

0.356
DRIED
80.0%
1.781
0.313
0.000
1.467
1.781
0.000
0.890
0.890
0.000
54406200
10
0.1
Shrimp chips
(tapioca base)

0.250
CANNED
25.0%
0.333
0.059
0.000
0.275
0.333
0.000
0.167
0.167
0.000
58100900
1
0.01
Enchilada with
seafood,
tomato-based
sauce

0.281
CANNED
25.0%
0.375
0.066
0.000
0.309
0.375
0.000
0.187
0.187
0.000
58101540
21
0.22
Taco or tostada
with fish,
iettuce, tomato,
saisa
CRUSTACEANS,
CRAB, BLUE,
CANNED
0.196
CANNED
25.0%
0.262
0.071
0.000
0.190
0.000
0.262
0.000
0.262
0.000
58101540


Taco or tostada
with fish,
iettuce, tomato,
saisa
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
CANNED
0.196
CANNED
25.0%
0.262
0.046
0.000
0.216
0.262
0.000
0.131
0.131
0.000
58106910
4
0.04
Pizza with
seafood, thin
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
MADE FROM
SURIMI
0.065
RESTRUCTUR
ED
25.0%
0.087
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000
58106910


Pizza with
seafood, thin
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58106915
2
0.02
Pizza with
seafood, regular
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
0.065
RESTRUCTUR
ED
25.0%
0.087
B-31
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
MADE FROM
5URIMI
58106915


Pizza with
seafood, regular
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58106920
1
0.01
Pizza with
seafood, thick
crust
CRUSTACEANS,
CRAB, ALASKA
KING,
IMITATION,
MADE FROM
SURIMI
0.065
RESTRUCTUR
ED
25.0%
0.087
0.024
0.000
0.063
0.000
0.087
0.000
0.087
0.000
58106920


Pizza with
seafood, thick
crust
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.065
COOKED
MOIST HEAT
25.0%
0.087
0.015
0.000
0.072
0.087
0.000
0.043
0.043
0.000
58110120
61
0.64
Egg roii, with
shrimp

0.091
COOKED
MOIST HEAT
25.0%
0.121
0.021
0.000
0.100
0.121
0.000
0.061
0.061
0.000
58111200
31
0.32
Puffs, fried, crab
meat and cream
cheese fiiied

0.183
RESTRUCTUR
ED
25.0%
0.245
0.127
0.039
0.078
0.000
0.245
0.000
0.122
0.122
58112510
45
0.47
Dumpiing,
steamed, fiiied
with meat,
poultry, or
seafood

0.138
RAW
0.0%
0.138
0.024
0.000
0.114
0.138
0.000
0.069
0.069
0.000
58117410
15
0.16
Codfish fritter,
Puerto Rican
styie (Bacaiaitos
fritos)

0.103
SALTED
30.0%
0.147
0.147
0.000
0.000
0.000
0.147
0.000
0.073
0.073
58120110
3
0.03
Crepes, fiiied
with meat, fish,
or pouitry, with
sauce

0.107
CANNED
25.0%
0.143
0.143
0.000
0.000
0.000
0.143
0.000
0.000
0.143
58128210
7
0.07
Dressing with
oysters

0.246
RAW
0.0%
0.246
B-32
0.000
0.000
0.246
0.000
0.246
0.246
0.000
0.000

-------
Food
code
Number
of
records
in data
Percent
of total
fish
records
Main food
description
Fish ingredient
description, if
multiple
ingredients
Proportion
of recipe
that is fish
ingredient
Pre-
processing
of fish
ingredient
Moisture
loss due to
pre-
processing
Multipl
ierfor
Total
Fish
Multiplier
for marine
fish
Multiplier
for
freshwater
fish
Multiplier
for
estuarine
fish
Multiplier
for shellfish
Multiplier
for finfish
Multiplier
for trophic
level 2
Multiplier
for trophic
level 3
Multiplier
for trophic
level 4
58132800
8
0.08
Spaghetti with
ciarn sauce, NS
as to red or
white

0.296
COOKED
MOIST HEAT
25.0%
0.395
0.331
0.000
0.063
0.395
0.000
0.395
0.000
0.000
58132810
3
0.03
Spaghetti with
red ciarn sauce

0.236
CANNED
25.0%
0.314
0.264
0.000
0.050
0.314
0.000
0.314
0.000
0.000
58132820
4
0.04
Spaghetti with
white ciarn sauce

0.296
COOKED
MOIST HEAT
25.0%
0.395
0.331
0.000
0.063
0.395
0.000
0.395
0.000
0.000
58136130
64
0.67
Lo mein, with
shrimp

0.084
COOKED
MOIST HEAT
25.0%
0.112
0.020
0.000
0.092
0.112
0.000
0.056
0.056
0.000
58137210
5
0.05
Pad Thai, NFS
SAUCE, FISH,
READY-TO-
SERVE
0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137210


Pad Thai, NFS
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.063
RAW
0.0%
0.063
0.011
0.000
0.052
0.063
0.000
0.032
0.032
0.000
58137220
11
0.12
Pad Thai,
meatless

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137230
23
0.24
Pad Thai with
chicken

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137240
11
0.12
Pad Thai with
seafood
SAUCE, FISH,
READY-TO-
SERVE
0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58137240


Pad Thai with
seafood
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.190
RAW
0.0%
0.190
0.034
0.000
0.157
0.190
0.000
0.095
0.095
0.000
58137250
6
0.06
Pad Thai with
meat

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
58145120
46
0.48
Macaroni or
noodies with
cheese and tuna

0.226
CANNED
25.0%
0.301
0.301
0.000
0.000
0.000
0.301
0.000
0.000
0.301
58147340
7
0.07
Macaroni,
creamed, with
cheese and tuna

0.217
CANNED
25.0%
0.289
0.289
0.000
0.000
0.000
0.289
0.000
0.000
0.289
58148130
45
0.47
Macaroni or
pasta salad with
tuna

0.152
CANNED
25.0%
0.203
0.203
0.000
0.000
0.000
0.203
0.000
0.000
0.203
58148140
8
0.08
Macaroni or
pasta salad with
crab meat

0.136
COOKED
MOIST HEAT
25.0%
0.181
B-33
0.049
0.000
0.132
0.000
0.181
0.000
0.181
0.000

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





58148150
21
0.22
Macaroni or
pasta saiad with
shrimp

0.130
CANNED
25.0%
0.173
0.030
0.000
0.142
0.173
0.000
0.086
0.086
0.000
58148160
30
0.31
Macaroni or
pasta saiad with
tuna and egg

0.169
CANNED
25.0%
0.225
0.225
0.000
0.000
0.000
0.225
0.000
0.000
0.225
58150510
230
2.41
Rice, fried, with
shrimp

0.150
COOKED
MOIST HEAT
25.0%
0.200
0.035
0.000
0.165
0.200
0.000
0.100
0.100
0.000
58151100
16
0.17
Sushi, NFS

0.089
RAW
0.0%
0.089
0.070
0.000
0.020
0.000
0.089
0.000
0.000
0.089
58151130
155
1.62
Sushi, with
vegetables and
seafood

0.152
RAW
0.0%
0.152
0.132
0.000
0.020
0.000
0.152
0.000
0.076
0.076
58151150
10
0.1
Sushi, with
seafood, no
vegetables

0.158
RAW
0.0%
0.158
0.137
0.000
0.020
0.000
0.158
0.000
0.079
0.079
58155320
3
0.03
Seafood paella,
Puerto Rican
style
FISH, SNAPPER,
MIXED SPECIES,
RAW
0.034
RAW
0.0%
0.034
0.033
0.000
0.001
0.000
0.034
0.000
0.000
0.034
58155320


Seafood paella,
Puerto Rican
style
CRUSTACEANS,
LOBSTER,
NORTHERN,
RAW
0.068
RAW
0.0%
0.068
0.003
0.000
0.065
0.068
0.000
0.000
0.068
0.000
58155320


Seafood paella,
Puerto Rican
style
CRUSTACEANS,
SHRIMP, MIXED
SPECIES, RAW
0.137
RAW
0.0%
0.137
0.024
0.000
0.113
0.137
0.000
0.068
0.068
0.000
58155320


Seafood paella,
Puerto Rican
style
MOLLUSKS,
CLAM, MIXED
SPECIES, RAW
0.018
RAW
0.0%
0.018
0.015
0.000
0.003
0.018
0.000
0.018
0.000
0.000
58304400
1
0.01
Linguini with
vegetables and
seafood in white
wine sauce (diet
frozen meal)
MOLLUSKS,
CLAM, MIXED
SPECIES,
CANNED,
DRAINED
SOLIDS
0.120
CANNED
25.0%
0.160
0.134
0.000
0.026
0.160
0.000
0.160
0.000
0.000
58304400


Linguini with
vegetables and
seafood in white
wine sauce (diet
frozen meal)
MOLLUSKS,
SCALLOP, (BAY
AND SEA),
COOKED,
STEAMED
0.120
STEAMED
21.0%
0.152
0.000
0.000
0.152
0.152
0.000
0.152
0.000
0.000
B-34

-------
Food
Number
Percent
Main food
Fish ingredient
Proportion
Pre-
Moisture
Multipl
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
Multiplier
code
of
of total
description
description, if
of recipe
processing
loss due to
ierfor
for marine
for
for
for shellfish
for finfish
for trophic
for trophic
for trophic

records
fish

multiple
that is fish
of fish
pre-
Total
fish
freshwater
estuarine


level 2
level 3
level 4

in data
records

ingredients
ingredient
ingredient
processing
Fish

fish
fish





58407050
15
0.16
Instant soup,
noodie with egg,
shrimp or
chicken

0.010
CANNED
25.0%
0.014
0.002
0.000
0.011
0.014
0.000
0.007
0.007
0.000
58409000
16
0.17
Noodie soup,
with fish ball,
shrimp, and dark
green leafy
vegetable
CRUSTACEANS,
SHRIMP, MIXED
SPECIES,
COOKED,
MOIST HEAT
0.026
COOKED
MOIST HEAT
25.0%
0.035
0.006
0.000
0.029
0.035
0.000
0.017
0.017
0.000
58409000


Noodie soup,
with fish ball,
shrimp, and dark
green leafy
vegetable
CODFISH BALL
OR CAKE
0.066
BAKED
25.0%
0.088
0.088
0.000
0.000
0.000
0.088
0.000
0.044
0.044
72116140
7
0.07
Caesar salad
(with romaine)

0.038
CANNED
25.0%
0.051
0.000
0.000
0.051
0.000
0.051
0.025
0.025
0.000
72308000
10
0.1
Dark-green leafy
vegetable soup
with meat,
Oriental style

0.000
COOKED
MOIST HEAT
25.0%
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
0.000
75146000
1
0.01
Greek Salad

0.032
CANNED
25.0%
0.042
0.000
0.000
0.042
0.000
0.042
0.021
0.021
0.000
1247
B-35

-------
1248	Appendix C
1249
1250
1251	Usual Fish Consumption Rate Tables

-------
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
Table of Contents
Table	Page
Table C-l. Total ftnfish and shellfish usual fish consumption rate estimates,
all ages	 C-l
Table C-2. Total ftnfish and shellfish usual fish consumption rate estimates,
adults >21 years	 C-3
Table C-3. Total finfish and shellfish usual fish consumption rate estimates,
youth <21 years	 C-5
Table C-4. Total ftnfish usual fish consumption rate estimates, all ages	 C-7
Table C-5. Total ftnfish usual fish consumption rate estimates, adults >21
years	 C-9
Table C-6. Total ftnfish usual fish consumption rate estimates, youth <21
years	 C-ll
Table C-7. Total shellfish usual fish consumption rate estimates, all ages	 C-13
Table C-8. Total shellfish usual fish consumption rate estimates, adults >21
years	 C-15
Table C-9. Total shellfish usual fish consumption rate estimates, youth <21
years	 C-17
Table C-10. Marine fish usual fish consumption rate estimates, all ages	 C-19
Table C-ll. Marine fish usual fish consumption rate estimates, adults >21
years		 C-21
Table C-12. Marine fish usual fish consumption rate estimates, youth <21
years			C-23
Table C-13. Freshwater fish usual fish consumption rate estimates, all ages	 C-25
Table C-14. Freshwater fish usual fish consumption rate estimates, adults >21
years			 C-27
Table C-15. Freshwater fish usual fish consumption rate estimates, youth <21
years					 C-29
Table C-16. Estuarine fish usual fish consumption rate estimates, all ages	 C-31
Table C-17. Estuarine fish usual fish consumption rate estimates, adults >21
years			 C-33
Table C-18. Estuarine fish usual fish consumption rate estimates, youth >21
years	 C-35
Table C-19. Freshwater + estuarine fish usual fish consumption rate
estimates, all ages	.	 C-37
Table C-20. Freshwater + estuarine fish usual fish consumption rate
estimates, adults >21 years	 C-39
Table C-21. Freshwater + estuarine fish usual fish consumption rate
estimates, youth <21 years 		 C-41
Table C-22. Marine + freshwater fish usual fish consumption rate estimates,
all ages			 C-43
Table C-23. Marine + freshwater fish usual fish consumption rate estimates,
adults >21 years		 C-45
Table C-24. Marine + freshwater fish usual fish consumption rate estimates,
youth <21 years	 C-47
Table C-25. Marine + estuarine fish usual fish consumption rate estimates, all
ages		 C-49
Table C-26. Marine + estuarine fish usual fish consumption rate estimates,
adults >21 years	 C-51
Table C-27. Marine + estuarine fish usual fish consumption rate estimates,
youth <21 years	 C-53
Table C-28. Trophic level 2 fish usual fish consumption rate estimates, all
ages	 C-55
Table C-29. Trophic level 2 fish usual fish consumption rate estimates, adults
>21 years	 C-57
Table C-30. Trophic level 2 fish usual fish consumption rate estimates, youth
<21 years	 C-59
Table C-31. Trophic level 3 fish usual fish consumption rate estimates, all
ages	 C-61

-------
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
Table of Contents
(continued)
Table	Page
Table C-32. Trophic level 3 fish usual fish consumption rate estimates, adults
>21 years	 C-63
Table C-33. Trophic level 3 fish usual fish consumption rate estimates, youth
<21 years	 C-65
Table C-34. Trophic level 4 fish usual fish consumption rate estimates, all
ages	 C-67
Table C-35. Trophic level 4 fish usual fish consumption rate estimates, adults
>21 years	 C-69
Table C-36. Trophic level 4 fish usual fish consumption rate estimates, youth
<21 years	 C-71
Table C-37. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, all ages	 C-73
Table C-38. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years	 C-75
Table C-39. Trophic level 2 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years	 C-77
Table C-40. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, all ages	 C-79
Table C-41. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years	 C-81
Table C-42. Trophic level 3 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years	 C-83
Table C-43. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, all ages			 C-85
Table C-44. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, adults >21 years	 C-87
Table C-45. Trophic level 4 freshwater + estuarine fish usual fish
consumption rate estimates, youth <21 years	 C-89
Table C-46. Trophic level 2 marine fish usual fish consumption rate estimates,
all ages							 C-91
Table C-47. Trophic level 2 marine fish usual fish consumption rate estimates,
adults >21 vears					 C-93
Table C-48. Trophic level 2 marine fish usual fish consumption rate estimates,
youth <21 years	 C-95
Table C-49. Trophic level 3 marine fish usual fish consumption rate estimates,
all ages	..			 C-97
Table C-50. Trophic level 3 marine fish usual fish consumption rate estimates,
adults >21 vears 		 C-99
Table C-51. Trophic level 3 marine fish usual fish consumption rate estimates,
youth <21 years,...	 C-101
Table C-52. Trophic level 4 marine fish usual fish consumption rate estimates,
all ages			 C-103
Table C-53. Trophic level 4 marine fish usual fish consumption rate estimates,
adults >21 vears	 C-105
Table C-54. Tropliic level 4 marine fish usual fish consumption rate estimates,
youth <21 vears	 C-107
Table C-55 Percent reporting fish consumption on either 24-hr recall, by fish
type	 C-109
Table C-56 Percent reporting fish consumption on both 24-hr recalls, by fish
type	 C-110

-------
Table C-l. Total finfish and shellfish usual fish consumption rate estimates, all ages
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
Gender
Female
Male
Age
I	to <3 yrs
3 to <6 yrs
6 to <11 yrs
II	to <16 yrs
16 to <18 yrs
18 to <21 yrs
21 to <35 yrs
35 to <50 yrs
50 to <65 yrs
65+ yrs
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
17.11 (13.9,21.1)
15.29	(12.2,19.2)
19.30	(15.8,23.6)
4.75 (2.7,8.3)
6.28 (3.7,10.6)
8.42 (5.1,14.0)
7.93 (5.5,11.4)
9.54(6.8,13.3)
15.06 (8.7,26.2)
17.98 (12.9,25.0)
19.83 (16.2,24.3)
26.13 (19.1,35.8)
18.26	(13.4,24.9)
13.95 (11.5,17.0)
17.62 (14.3,21.7)
19.81 (9.5,41.3)
13.95 (11.5,17.0)
15.33 (12.3,19.1)
16.74 (13.0,21.5)
20.09 (16.3,24.7)
17.86 (11.0,29.1)
19.55 (10.0,38.3)
20.31 (6.8,60.2)
15.00 (11.3,20.0)
15.27	(11.4,20.5)
16.27 (13.2,20.0)
17.92 (14.6,22.0)
29.04 (19.2,43.8)
3.96(2.3,6.7) 11.89(8.5,16.6) 23.95(19.3,29.7) 40.47(33.1,49.5) 52.64(43.3,64.0) 60.91(49.9,74.3) 80.14(64.0,100.4)
3.56 (2.0,6.2)
4.49 (2.7,7.4)
0.70(0.4,1.4)
1.11 (0.5,2.7)
1.36 (0.8,2.5)
1.39 (0.8,2.3)
1.54(0.9,2.6)
2.29 (1.3,3.9)
5.13 (2.2,11.9)
7.57 (5.2,11.0)
11.27 (6.3,20.3)
6.72 (4.7,9.6)
2.61 (1.8,3.9)
4.36 (2.5,7.6)
4.53 (1.2,16.7)
2.61 (1.8,3.9)
3.48 (2.1,5.9)
4.00(2.4,6.6)
5.59 (3.1,10.2)
5.02 (2.4,10.5)
4.56 (1.5,13.5)
4.50(0.6,32.2)
2.83 (1.7,4.6)
2.61 (1.7,4.0)
3.93 (2.2,7.1)
4.89 (3.2,7.5)
8.90(3.3,23.7)
10.84(7.6,15.5)
13.37 (9.7,18.4)
2.15 (1.2,4.0)
3.95 (1.5,10.2)
4.66 (2.5,8.9)
4.31 (2.6,7.3)
5.27 (3.1,9.0)
7.93 (4.5,13.9)
13.07 (7.3,23.4)
15.50(12.4,19.4)
21.30(14.5,31.2)
13.90(9.9,19.5)
8.87 (6.6,12.0)
12.46	(9.0,17.3)
14.21 (4.7,42.8)
8.87 (6.6,12.0)
10.72 (7.1,16.1)
11.75 (8.3,16.7)
14.63 (11.1,19.3)
13.68 (6.6,28.2)
14.67 (5.1,41.8)
13.06 (3.2,53.0)
9.73 (6.0,15.7)
9.36 (6.7,13.1)
11.47	(8.3,15.8)
13.33 (9.7,18.4)
22.06 (12.2,40.0)
21.67	(17.0,27.6)
27.06 (21.8,33.6)
5.26 (3.4,8.2)
8.39 (4.7,15.1)
11.41 (6.7,19.4)
10.81 (7.3,16.1)
12.99 (8.9,18.9)
19.57 (11.2,34.3)
24.45 (17.2,34.8)
27.40 (22.3,33.7)
36.06 (26.3,49.4)
25.24 (18.5,34.5)
19.38 (15.6,24.1)
24.63 (19.9,30.4)
28.68	(12.7,64.6)
19.38 (15.6,24.1)
21.15 (16.9,26.5)
23.67 (18.1,31.0)
28.55 (23.1,35.3)
25.83 (14.8,45.2)
28.36	(14.0,57.5)
29.07 (8.6,98.2)
21.37	(15.3,29.8)
21.40 (15.9,28.9)
22.81 (18.5,28.2)
25.44 (20.2,32.1)
42.27 (25.4,70.2)
35.99 (29.0,44.6)
45.56 (37.5,55.4)
11.58 (7
14.75 (9
21.39 (12
19.30 (12
24.38 (17
40.93 (19
40.55 (30,
42.77 (34
53.88 (40
39.64 (28
.0,19.1)
.8,22.2)
.6,36.2)
.8,29.1)
.7,33.5)
.2,87.1)
.9,53.2)
.0,53.8)
.6,71.5)
.6,55.0)
33.22 (27.2,40.6)
41.46 (33.9,50.8)
46.27 (25.4,84.3)
33.22 (27.2,40.6)
35.37 (28.8,43.5)
39.42 (30.8,50.4)
46.50 (37.8,57.2)
39.77 (26.1,60.7)
44.94 (26.2,77.1)
49.43 (17.8,137.3)
36.59 (27.7,48.4)
39.46 (26.8,58.2)
38.05 (30.9,46.8)
41.21 (33.5,50.7)
62.13 (47.5,81.2)
46.59 (37.8,57.4)
58.70 (48.1,71.6)
18.78 (9.9,35.7)
20.61 (14.0,30.3)
29.46 (17.6,49.3)
27.59 (18.4,41.3)
33.98 (23.5,49.1)
57.07 (28.0,116.3)
53.21	(41.8,67.7)
53.97 (41.8,69.7)
65.64(51.1,84.3)
51.67 (38.8,68.9)
44.86 (36.7,54.9)
53.75 (44.0,65.7)
58.22	(35.5,95.5)
44.86 (36.7,54.9)
47.77 (38.9,58.7)
50.65 (39.0,65.7)
58.48 (47.8,71.6)
50.28 (33.7,74.9)
56.63 (35.4,90.7)
59.15 (28.9,121.2)
48.34(37.0,63.2)
52.82 (34.8,80.3)
49.54(39.7,61.8)
51.80 (42.7,62.9)
81.20(59.5,110.8)
54.10 (43.8,66.8)
69.35 (56.7,84.8)
24.71 (12.1,50.5)
23.93 (17.5,32.7)
35.01 (21.2,57.7)
33.63 (22.5,50.3)
39.45	(27.7,56.2)
64.66 (37.7,110.9)
62.05 (49.9,77.2)
61.78 (46.3,82.4)
75.37 (57.6,98.5)
58.70 (41.7,82.6)
53.15 (42.8,66.0)
61.62 (50.2,75.7)
67.81 (41.9,109.7)
53.15 (42.8,66.0)
55.46	(45.4,67.7)
59.99 (46.0,78.2)
66.62 (53.7,82.7)
58.04 (39.6,85.0)
66.65 (39.6,112.1)
67.90 (35.2,131.0)
56.48 (43.5,73.3)
61.27 (41.3,90.8)
57.65 (45.6,72.8)
60.52 (49.8,73.6)
95.56 (70.1,130.2)
68.01	(53.4,86.7)
91.76 (74.0,113.8)
38.03 (17.6,82.2)
38.02	(23.6,61.3)
48.43 (28.2,83.1)
47.19 (30.5,73.1)
53.66 (37.2,77.4)
94.01 (50.7,174.4)
86.18 (66.5,111.6)
78.66 (55.0,112.5)
95.56 (71.2,128.2)
72.65 (45.8,115.3)
73.68 (57.6,94.2)
80.81 (64.0,102.0)
87.44 (54.6,140.0)
73.68 (57.6,94.2)
74.03	(59.5,92.1)
78.48 (57.4,107.3)
87.10 (69.3,109.5)
74.62 (51.0,109.2)
77.62 (54.7,110.2)
103.07 (42.1,252.3)
72.89 (53.7,98.9)
74.10 (52.0,105.5)
75.37 (57.9,98.0)
76.51 (59.9,97.8)
122.79 (89.0,169.5)
C-l

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Table C-l. Total finfish and shellfish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
12.26 (9.5,15.8)
21.17 (16.4,27.4)
17.81 (13.8,22.9)
18.51 (14.5,23.7)
15.83 (11.8,21.2)
19.13 (15.9,23.0)
18.18 (14.
20.01 (14.
24.33 (15.
13.62 (9.
21.18 (13.
11.87 (8.
15.50 (11.
18.84 (12.
4,22.9)
2,28.2)
2,38.8)
5.19.4)
6,33.0)
5.16.5)
1.21.6)
4.28.7)
2.67 (1.6,4.6)
4.47 (3.1,6.5)
4.32 (2.4,7.7)
4.85 (2.7,8.9)
3.58 (2.0,6.5)
4.62	(3.2,6.7)
4.04(2.6,6.3)
5.56 (3.6,8.5)
5.88 (2.1,16.8)
2.80(1.9,4.2)
3.60(2.2,5.9)
2.63	(1.3,5.2)
3.60(1.9,6.9)
5.69 (2.0,15.8)
8.65 (5.7,13.1)
14.95 (11.2,19.9)
12.73 (8.3,19.5)
13.67 (9.8,19.1)
11.08 (7.1,17.3)
13.60(10.8,17.2)
13.17 (9.7,17.9)
14.81 (10.3,21.4)
16.26 (8.2,32.2)
9.00(6.2,13.1)
14.03	(9.2,21.4)
8.55 (4.9,14.8)
11.50(6.2,21.3)
14.04	(8.6,23.0)
17.16 (13.0,22.7)
30.92 (23.4,40.8)
24.67 (19.1,31.9)
26.65 (20.3,35.1)
22.11 (16.5,29.6)
27.21 (22.3,33.2)
26.52
28.43
33.83
19.04
31.24
16.63
21.92
26.71
(20.9,33.7)
(19.7,41.0)
(19.4,58.9)
(12.9,28.2)
(19.3,50.7)
(11.7,23.6)
(15.2.31.6)
(17.5.40.7)
28.37 (21.3,37.7)
50.76	(37.9,68.0)
41.00 (32.8,51.3)
43.17 (33.5,55.7)
37.35 (28.4,49.0)
44.77	(36.8,54.5)
43.33
45.87
57.49
32.51
52.01
27.17
35.01
43.03
(35.0,53.7)
(32.7.64.4)
(35.9,92.1)
(21.7,48.7)
(31.1,86.9)
(20.5,36.1)
(27.5.44.5)
(28.4,65.1)
37.34(27.6,50.5)
62.99 (48.5,81.8)
53.48 (42.9,66.6)
54.97 (43.1,70.2)
48.97 (37.4,64.1)
57.56 (46.5,71.2)
55.12 (44.2,68.7)
58.00 (41.1,81.8)
74.70 (49.0,113.9)
42.77 (28.1,65.0)
65.49 (40.7,105.3)
36.12 (26.9,48.6)
45.54(36.3,57.2)
54.69 (37.0,80.9)
43.98	(32.0,60.4)
72.32 (55.9,93.5)
62.38	(50.2,77.5)
61.36 (48.2,78.1)
56.99	(43.8,74.1)
66.42 (53.0,83.2)
61.58 (46.1,82.2)
65.82 (45.5,95.2)
89.57 (57.2,140.1)
50.61 (34.2,74.9)
75.70 (47.2,121.5)
42.39	(31.6,56.8)
52.47 (42.4,64.9)
61.28 (43.0,87.3)
58.80 (41.9,82.5)
92.62 (70.2,122.2)
87.13 (66.6,114.0)
75.90	(54.1,106.4)
75.46 (57.4,99.2)
87.00 (67.2,112.7)
75.91	(47.6,121.1)
84.62 (57.8,123.9)
118.97 (75.7,187.1)
69.85 (49.3,99.0)
95.75 (63.0,145.4)
55.02 (40.4,74.9)
68.44 (53.3,87.9)
74.90 (51.9,108.2)
C-2

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373	Table C-2. Total finfish and shellfish usual fish consumption rate estimates, adults >21 years
374






Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
20.51 (16.9,24.9)
7.27 (4.5,11.7)
15.73 (11.9,20.7)
28.31
(23.1,34.6)
44.83 (37.1,54.2)
56.75 (46.7,69.0)
65.15 (52.8,80.3)
85.30 (67.9,107.2)
Gender









Female
18.11 (14.6,22.5)
6.47 (3.8,11.1)
14.01 (10.4,18.8)
25.18
(20.2,31.4)
39.85 (32.2,49.3)
50.02 (40.6,61.6)
57.56 (46.5,71.2)
71.24 (54.6,93.0)
Male
23.56 (19.4,28.5)
8.71 (5.6,13.6)
18.11 (14.1,23.3)
32.29
(26.5,39.4)
50.97 (42.0,61.8)
64.06 (52.2,78.7)
74.82 (60.9,92.0)
97.15 (77.2,122.2)
Age
21 to <35 yrs
17.98 (12.9,25.0)
5.13 (2.2,11.9)
13.07 (7.3,23.4)
24.45
(17.2,34.8)
40.55 (30.9,53.2)
53.21 (41.8,67.7)
62.05 (49.9,77.2)
86.18 (66.5,111.6)
35 to <50 yrs
19.83 (16.2,24.3)
7.57 (5.2,11.0)
15.50(12.4,19.4)
27.40
(22.3,33.7)
42.77 (34.0,53.8)
53.97 (41.8,69.7)
61.78 (46.3,82.4)
78.66 (55.0,112.5)
50 to <65 yrs
26.13 (19.1,35.8)
11.27 (6.3,20.3)
21.30(14.5,31.2)
36.06
(26.3,49.4)
53.88 (40.6,71.5)
65.64(51.1,84.3)
75.37 (57.6,98.5)
95.56 (71.2,128.2)
65+ yrs
18.26 (13.4,24.9)
6.72 (4.7,9.6)
13.90(9.9,19.5)
25.24
(18.5,34.5)
39.64 (28.6,55.0)
51.67 (38.8,68.9)
58.70 (41.7,82.6)
72.65 (45.8,115.3)
WCA (13-49 years)
15.34 (12.2,19.3)
4.01 (2.2,7.3)
11.21 (7.7,16.4)
21.53
(16.8,27.5)
34.99 (28.6,42.9)
45.62 (37.2,56.0)
53.36 (43.0,66.2)
67.82 (53.6,85.8)
Income









<$20,000
16.88 (13.9,20.6)
4.47 (2.8,7.1)
11.97 (9.2,15.6)
23.26
(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88 (46.0,72.7)
83.56 (63.1,110.6)
>$20,000
21.06 (17.4,25.5)
7.79 (5.0,12.1)
16.30(12.5,21.2)
29.00
(23.7,35.5)
45.74 (37.8,55.4)
57.55 (47.1,70.3)
65.62 (52.7,81.7)
84.62 (65.7,109.0)
Income unknown
23.40 (11.4,47.9)
8.11 (1.8,36.8)
18.61 (6.8,51.1)
31.80
(16.9,59.8)
52.01 (27.4,98.8)
63.47 (37.9,106.4)
72.31 (44.9,116.4)
90.69 (57.3,143.4)
Income, finer detail









<$20,000
16.88 (13.9,20.6)
4.47 (2.8,7.1)
11.97 (9.2,15.6)
23.26
(18.8,28.7)
37.42 (30.2,46.4)
48.81 (38.5,61.9)
57.88 (46.0,72.7)
83.56 (63.1,110.6)
$20k-$45k
18.08 (14.8,22.0)
6.32 (3.6,11.1)
13.81 (10.1,18.8)
24.56
(19.9,30.3)
39.26 (32.2,47.8)
51.10 (41.9,62.3)
59.00 (48.2,72.2)
77.40 (60.0,99.9)
$45k-$75k
19.92 (15.6,25.4)
6.94(4.6,10.5)
15.30(11.1,21.1)
27.60
(21.2,35.9)
43.26 (34.0,55.0)
55.12 (42.5,71.4)
63.46 (48.0,84.0)
81.60 (58.5,113.9)
$75k+
24.34 (20.0,29.6)
9.99 (6.9,14.4)
19.35 (15.4,24.3)
33.90
(27.5,41.9)
51.38 (41.8,63.1)
62.26 (50.2,77.3)
71.28 (56.9,89.3)
90.52 (69.7,117.6)
>$20,000
20.61 (13.2,32.3)
7.58 (3.9,14.6)
16.85 (9.2,30.9)
27.98
(18.5,42.3)
42.57 (28.7,63.2)
54.01 (36.3,80.3)
61.71 (41.6,91.5)
83.36 (52.9,131.4)
Inc Ref/DK
22.97 (11.8,44.7)
8.18 (2.1,32.2)
18.29 (7.6,44.0)
31.87
(17.2,58.9)
51.22 (27.2,96.5)
62.13 (36.6,105.5)
72.31 (40.2,130.2)
85.30 (55.2,131.7)
Inc missing
24.35 (8.4,71.0)
7.83 (1.0,59.5)
19.30 (4.3,87.3)
31.80
(12.2,83.1)
54.39 (21.2,139.3)
63.67 (30.6,132.5)
89.96 (29.1,277.9)
108.79 (39.6,299.0)
Race/Ethnicity









Mexican American
20.10 (14.5,27.8)
6.35 (3.0,13.3)
16.02 (9.6,26.7)
28.10
(19.9,39.7)
43.86 (32.8,58.7)
55.33 (42.2,72.5)
63.75 (48.6,83.7)
79.80 (56.4,112.8)
Other Hispanic
20.35 (14.4,28.7)
6.89 (3.5,13.6)
15.06 (10.4,21.7)
27.81
(20.0,38.7)
46.89 (30.9,71.2)
59.47 (39.2,90.2)
67.60 (46.5,98.3)
79.52 (55.0,115.1)
White
19.01 (15.6,23.1)
6.89 (4.4,10.9)
14.59 (11.4,18.7)
26.22
(21.4,32.1)
41.70 (33.9,51.3)
52.74 (41.7,66.7)
60.42 (46.5,78.5)
78.18 (58.7,104.1)
Black
22.22 (17.6,28.0)
8.89 (5.2,15.3)
17.85 (12.9,24.6)
30.74
(24.2,39.0)
46.59 (38.2,56.9)
58.00 (47.6,70.7)
66.16 (54.0,81.1)
82.63 (64.4,106.1)
Other race
34.96 (24.2,50.5)
15.15 (7.2,31.9)
28.78 (17.6,47.1)
49.09
(31.3,77.0)
71.11 (51.3,98.5)
89.81 (66.0,122.1)
105.37 (75.2,147.7)
131.76 (89.0,195.1)
375
376
C-3

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Table C-2. Total finfish and shellfish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest	14.73
Northeast	25.26
South	21.45
West	22.09
Coastal Status
Noncoastal	18.95
Coastal	22.95
Coastal/Inland Region
Pacific	21.41
Atlantic	24.15
Gulf of Mexico	29.15
Great Lakes	16.85
Inland Northeast	25.07
Inland Midwest	14.16
Inland South	18.72
Inland West	22.82
11.4,19.0)
19.7.32.4)
16.8.27.5)
17.4,28.0)
14.4,24.9)
18.9,27.9)
16.7,27.4)
17.1.34.0)
19.3.44.1)
12.2.23.3)
15.9.39.4)
10.5,19.1)
13.3,26.3)
15.0,34.7)
5.25 (3.2,8.7)
9.03 (5.7,14.3)
7.92 (4.2,14.8)
8.74(5.7,13.4)
6.67 (3.5,12.6)
8.59 (6.3,11.7)
7.79 (5.3,11.5)
9.80(6.6,14.6)
10.20(5.0,20.8)
5.71 (3.6,9.1)
7.36 (4.0,13.5)
5.13 (2.7,9.8)
7.02 (2.8,17.5)
9.61 (4.7,19.5)
11.33 (8.1,15.8)
20.29 (15.1,27.2)
16.60(11.6,23.7)
17.66 (13.3,23.5)
14.52 (10.0,21.1)
17.73 (14.2,22.2)
17.15 (12.
19.47 (13.
21.69 (12.
12.36 (8.
19.85 (12.
11.12 (7.
15.03 (8.
18.22 (11.
20.03 (15.3,26.2)
35.94	(27.8,46.5)
29.05 (22.9,36.8)
30.76 (23.9,39.5)
25.95	(20.0,33.6)
31.48 (25.4,39.0)
8,23.0)
7.27.7)
4.37.8)
4,18.3)
0,32.8)
2,17.2)
7.26.0)
8.28.1)
30.08
33.19
40.39
23.38
35.86
19.30
25.43
32.02
(23.6,38.3)
(23.0,47.9)
(24.3.67.1)
(16.8,32.6)
(22.9.56.2)
(14.3,26.1)
(18.8.34.3)
(20.3.50.4)
31.52 (23.5,42.4)
54.03 (42.1,69.3)
45.64	(36.9,56.5)
47.81 (36.8,62.1)
41.75 (31.9,54.7)
49.69 (40.5,61.0)
47.56 (38.5,58.7)
50.48 (35.3,72.2)
63.32 (40.9,98.1)
36.31 (24.4,54.0)
54.30 (35.6,82.9)
29.65	(22.4,39.2)
39.37 (30.9,50.2)
48.00 (31.8,72.4)
41.40(31.2,54.9)
66.55 (51.8,85.5)
58.23 (47.0,72.2)
58.34 (46.3,73.5)
52.71 (40.8,68.0)
62.13 (49.9,77.4)
57.07 (43.7,74.4)
63.05 (45.1,88.2)
82.49 (52.9,128.6)
47.37 (33.0,68.0)
69.02 (43.9,108.6)
40.05 (29.7,54.0)
49.99 (40.0,62.4)
59.09 (40.4,86.4)
46.68 (32.8,66.5)
75.85	(58.3,98.8)
67.39 (53.9,84.3)
65.39 (50.9,84.1)
60.55 (46.8,78.3)
71.62 (57.1,89.9)
64.78 (47.7,88.0)
71.48 (50.4,101.4)
97.58 (59.7,159.5)
55.98 (40.1,78.1)
78.14(50.9,119.9)
45.24(33.9,60.3)
56.86	(45.8,70.6)
65.89 (46.1,94.2)
63.61 (47.1,85.9)
94.75 (70.2,128.0)
93.86 (69.9,126.1)
78.63 (53.8,115.0)
78.78 (59.3,104.6)
92.02 (70.1,120.9)
78.00 (46.7,130.4)
91.63 (65.4,128.5)
126.36 (78.3,203.9)
78.34 (59.4,103.3)
95.75 (63.1,145.2)
59.71 (44.6,79.9)
74.52 (57.3,96.9)
79.17 (54.4,115.2)
C-4

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381	Table C-3. Total finfish and shellfish usual fish consumption rate estimates, youth <21 years
382
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
Gender
Female
Male
Age
I	to <3 yrs
3 to <6 yrs
6 to <11 yrs
II	to <16 yrs
16 to <18 yrs
18 to <21 yrs
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
8.67 (6.1,12.3) 1.34 (0.8,2.2)
4.35(2.6,7.3) 11.09 (7.5,16.4) 21.74(15.7,30.2) 31.59 (22.6,44.2) 40.19 (28.1,57.5) 59.13 (41.7,83.9)
7.58 (5.2,11.0)
9.81 (6.9,13.9)
4.75 (2.7,8.3)
6.28 (3.7,10.6)
8.42	(5.1,14.0)
7.93 (5.5,11.4)
9.54 (6.8,13.3)
15.06 (8.7,26.2)
7.91 (6.2,10.1)
8.72 (6.0,12.7)
11.61 (4.6,29.4)
7.91 (6.2,10.1)
8.43	(5.1,13.8)
7.87 (5.5,11.2)
9.49 (6.3,14.4)
8.99 (5.4,15.0)
10.24 (4.1,25.5)
13.52 (3.6,50.6)
7.15 (5.2,9.8)
6.03 (3.2,11.5)
8.21 (4.7,14.3)
9.30 (6.6,13.2)
16.36 (9.2,29.2)
1.17	(0.7,1.9)
1.59 (0.9,2.7)
0.70 (0.4,1.4)
1.11 (0.5,2.7)
1.36 (0.8,2.5)
1.39 (0.8,2.3)
1.54 (0.9,2.6)
2.29	(1.3,3.9)
1.28 (0.9,1.9)
1.35	(0.8,2.3)
1.52 (0.8,3.0)
1.28 (0.9,1.9)
1.30	(0.8,2.2)
1.18	(0.7,2.0)
1.52 (0.8,2.9)
1.94 (0.7,5.6)
1.36	(0.7,2.8)
1.58 (0.5,5.3)
1.26 (0.8,1.9)
0.85 (0.3,2.3)
1.22 (0.6,2.4)
2.00 (1.3,3.1)
2.81 (1.2,6.4)
3.71 (2.2,6.1)
5.00(3.1,8.2)
2.15 (1.2,4.0)
3.95 (1.5,10.2)
4.66	(2.5,8.9)
4.31 (2.6,7.3)
5.27 (3.1,9.0)
7.93 (4.5,13.9)
3.96 (2.9,5.4)
4.37 (2.5,7.7)
5.93 (1.8,19.7)
3.96 (2.9,5.4)
4.01 (2.3,6.9)
4.09 (2.2,7.7)
4.85 (2.6,9.0)
5.87 (2.8,12.1)
5.12 (1.9,13.6)
7.10 (1.1,44.3)
3.91 (2.6,5.9)
2.67	(1.1,6.5)
3.88 (1.9,7.8)
6.23 (4.3,9.0)
10.90 (3.7,32.5)
9.85 (6.5,15.0)
12.32 (8.7,17.5)
5.26 (3.4,8.2)
8.39 (4.7,15.1)
11.41 (6.7,19.4)
10.81 (7.3,16.1)
12.99 (8.9,18.9)
19.57 (11.2,34.3)
9.87 (7.2,13.5)
11.18 (7.3,17.2)
15.85 (4.4,57.1)
9.87 (7.2,13.5)
10.59 (6.3,17.9)
10.06 (6.9,14.8)
12.14(7.9,18.6)
12.14(6.9,21.4)
15.04(3.6,62.1)
18.72 (3.2,111.0)
9.37 (6.9,12.8)
7.15 (3.0,17.2)
10.29 (5.6,18.9)
12.72 (8.8,18.3)
22.57 (11.7,43.6)
19.34(13.5,27.7)
23.98 (17.7,32.4)
11.58 (7.0,19.1)
14.75 (9.8,22.2)
21.39 (12.6,36.2)
19.30(12.8,29.1)
24.38 (17.7,33.5)
40.93 (19.2,87.1)
19.93 (14.9,26.6)
21.67 (15.3,30.8)
32.59 (10.1,104.8)
19.93 (14.9,26.6)
21.21 (13.0,34.7)
19.44(13.5,28.0)
23.21 (16.2,33.3)
20.70(12.8,33.5)
27.82 (9.2,84.3)
38.96 (7.6,200.9)
17.52 (12.4,24.8)
14.74 (6.7,32.2)
20.80(12.0,36.0)
21.89 (14.8,32.3)
40.64(23.6,70.0)
27.86	(19.4,40.1)
35.18 (25.3,49.0)
18.78 (9.9,35.7)
20.61 (14.0,30.3)
29.46 (17.6,49.3)
27.59 (18.4,41.3)
33.98 (23.5,49.1)
57.07 (28.0,116.3)
29.80 (22.6,39.2)
31.06 (22.3,43.2)
41.74 (18.7,93.2)
29.80 (22.6,39.2)
30.33 (19.4,47.4)
27.56	(17.4,43.6)
33.58 (23.3,48.5)
31.51 (15.8,62.8)
37.87	(14.6,98.0)
43.77 (15.8,121.6)
24.32 (15.5,38.2)
23.08 (12.9,41.4)
30.18 (18.0,50.6)
29.57	(20.1,43.4)
55.17 (34.7,87.6)
34.69 (24.3,49.5)
45.73 (31.2,67.0)
24.71 (12.1,50.5)
23.93 (17.5,32.7)
35.01 (21.2,57.7)
33.63 (22.5,50.3)
39.45 (27.7,56.2)
64.66 (37.7,110.9)
37.06 (28.4,48.4)
40.35 (27.5,59.2)
45.13 (26.9,75.8)
37.06 (28.4,48.4)
39.75 (22.5,70.2)
35.52 (22.4,56.2)
43.87 (28.1,68.6)
33.69 (16.2,69.9)
41.74(21.8,79.8)
55.87 (22.1,141.5)
30.52	(19.1,48.7)
29.86 (17.9,49.9)
39.51 (21.8,71.7)
35.05 (22.9,53.6)
60.53	(44.3,82.6)
51.01	(34.1,76.3)
66.75 (45.9,97.1)
38.03 (17.6,82.2)
38.02	(23.6,61.3)
48.43	(28.2,83.1)
47.19 (30.5,73.1)
53.66 (37.2,77.4)
94.01 (50.7,174.4)
54.98 (38.4,78.7)
60.15 (41.0,88.3)
59.71 (34.8,102.5)
54.98 (38.4,78.7)
60.35 (33.1,110.1)
52.71 (30.1,92.4)
62.46 (43.3,90.2)
52.51 (23.4,117.8)
47.50 (27.0,83.6)
67.81 (26.8,171.5)
46.09 (29.8,71.3)
50.44	(28.3,89.8)
60.37 (32.2,113.1)
47.52 (29.4,76.8)
72.44 (46.8,112.2)
C-5

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Table C-3. Total finfish and shellfish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
6.00 (4.4,8.2)
1.04
(0.5,2.2)
2.96 (1.8,5.0)
Northeast
10.47 (6.2,17.6)
1.39
(1.0,2.0)
4.55 (3.2,6.4)
South
8.52 (6.0,12.1)
1.50
(0.9,2.5)
4.51 (2.9,7.1)
West
10.37 (5.8,18.6)
1.67
(0.8,3.6)
5.52 (2.3,13.3)
Coastal Status




Noncoastal
8.16 (5.2,12.9)
1.28
(0.8,2.1)
4.15 (2.3,7.6)
Coastal
9.50 (7.3,12.4)
1.51
(0.9,2.6)
4.66 (3.1,7.0)
Coastal/Inland Region




Pacific
9.78 (6.2,15.4)
1.16
(0.6,2.1)
4.00(2.3,6.9)
Atlantic
8.79 (6.3,12.3)
1.65
(1.0,2.7)
5.20(3.4,8.0)
Gulf of Mexico
13.69 (4.7,39.6)
2.22
(0.6,7.8)
7.48 (1.9,29.5)
Great Lakes
6.44 (2.6,16.2)
1.23
(0.5,2.8)
3.18 (2.0,5.1)
Inland Northeast
10.84 (5.6,21.0)
1.17
(0.6,2.1)
3.81 (1.9,7.6)
Inland Midwest
5.85 (3.6,9.4)
1.01
(0.4,2.4)
2.90(1.4,6.1)
Inland South
7.28 (5.1,10.3)
1.32
(0.8,2.2)
3.87 (2.4,6.1)
Inland West
10.85 (4.6,25.4)
2.15
(0.7,6.4)
6.93 (1.9,25.7)
7.86 (5.5,11.2)
11.90(9.1,15.6)
11.37 (7.6,17.0)
13.84(6.6,28.8)
10.65 (6.5,17.5)
12.09 (8.8,16.5)
11.67	(6.
11.74 (8.
18.04(5.
8.23 (3.
10.21 (6.
7.76 (4.
10.39 (6.
14.68	(6.
7,20.2)
0,17.2)
2,63.0)
9,17.6)
0,17.3)
1.14.6)
5.16.7)
0,35.8)
15.39 (10.8,21.8)
27.48 (14.9,50.7)
21.20(14.9,30.1)
26.32 (14.4,48.1)
20.03 (13.3,30.2)
24.50(18.6,32.2)
26.85 (15
22.30(16
33.01 (11
17.23 (6
29.83 (12
14.76 (9
18.37 (12
25.59 (12
.2,47.4)
.2,30.7)
.7,93.2)
.1,48.3)
.5,70.9)
.4,23.1)
.9,26.2)
.2,53.7)
21.31 (12.6,36.0)
44.91 (16.8,119.8)
29.01 (21.2,39.7)
38.80 (20.4,73.8)
29.05 (18.6,45.3)
34.54 (26.3,45.3)
41.27 (23.0,74.2)
29.99 (21.1,42.6)
49.90 (17.9,139.2)
23.51 (6.6,83.2)
56.99 (11.0,294.1)
20.93 (14.0,31.4)
23.88 (16.8,33.9)
37.42 (15.9,87.9)
27.34(16.1,46.4)
56.99 (19.5,166.8)
35.49 (26.2,48.0)
47.68 (26.2,86.8)
38.02 (21.7,66.7)
43.09 (33.3,55.8)
52.71 (28.5,97.4)
35.79 (25.0,51.3)
59.95 (25.9,138.5)
29.62 (8.5,103.6)
67.90(14.3,322.7)
26.71 (16.9,42.3)
29.55 (21.3,40.9)
43.55 (19.9,95.3)
37.78	(17.4,82.0)
75.70 (27.8,206.1)
54.18 (37.3,78.7)
60.35 (40.7,89.6)
57.74 (30.6,108.9)
60.79	(46.0,80.3)
61.91 (35.8,107.1)
47.37 (30.8,72.9)
93.19 (36.1,240.2)
40.64 (10.5,157.3)
94.01 (19.5,452.4)
36.97 (24.1,56.7)
42.55 (30.4,59.7)
57.96 (29.4,114.1)
C-6

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Table C-4. Total finfish usual fish consumption rate estimates, all ages
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total Population
Gender
Female
Male
Age
I	to <3 yrs
3 to <6 yrs
6 to <11 yrs
II	to <16 yrs
16 to <18 yrs
18 to <21 yrs
21 to <35 yrs
35 to <50 yrs
50 to <65 yrs
65+ yrs
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
11.18 (8.8,14.1) 2.39 (1.4,4.0) 7.29 (5.2,10.2) 15.15 (11.8,19.5) 26.57 (20.9,33.8) 35.86(28.2,45.6) 43.35 (34.1,55.2) 59.25(46.7,75.2)
10.08	(7.9,12.9)
12.50 (9.8,15.9)
3.09 (2.0,4.8)
4.01 (2.4,6.8)
6.01 (3.5,10.2)
5.15 (3.3,7.9)
6.04 (4.2,8.7)
9.59 (5.6,16.4)
11.86 (8.2,17.2)
12.17 (9.4,15.8)
17.70(12.4,25.2)
12.33 (8.1,18.8)
9.39 (7.4,11.9)
11.48 (9.0,14.6)
12.36 (6.1,25.1)
9.39 (7.4,11.9)
10.17 (7.9,13.1)
11.09	(8.3,14.9)
12.74 (9.9,16.4)
12.53 (7.2,21.7)
11.50	(6.3,21.2)
14.01 (4.5,43.8)
9.53 (6.9,13.1)
9.49 (6.8,13.2)
10.51	(8.2,13.5)
12.25 (9.5,15.8)
19.80(14.3,27.4)
2.14 (1.3,3.6)
2.74 (1.6,4.8)
0.43 (0.2,0.8)
0.69 (0.2,2.0)
0.96 (0.5,2.0)
0.86 (0.5,1.5)
0.81 (0.4,1.6)
1.32 (0.7,2.5)
3.13	(1.2,7.9)
4.21 (3.0,5.8)
7.16 (3.8,13.5)
4.42 (2.9,6.6)
1.65 (1.0,2.6)
2.58 (1.6,4.3)
2.60 (0.7,9.4)
1.65 (1.0,2.6)
2.14	(1.4,3.4)
2.35 (1.4,3.8)
3.21 (1.7,5.9)
3.37	(1.3,8.4)
2.56 (0.8,7.9)
2.81 (0.4,19.9)
1.69 (1.0,3.0)
1.62 (0.9,2.9)
2.38	(1.3,4.2)
2.93 (1.9,4.4)
5.04(2.2,11.5)
6.68 (4.8,9.4)
8.15	(5.7,11.6)
1.32 (0.7,2.4)
2.25 (0.9,5.7)
3.15 (1.6,6.1)
2.67 (1.5,4.8)
2.88 (1.7,4.8)
4.35 (2.6,7.3)
7.80 (4.5,13.4)
9.04(7.0,11.7)
13.66 (9.1,20.5)
9.23 (6.1,13.9)
5.51 (4.0,7.6)
7.65 (5.5,10.7)
8.10(2.9,22.9)
5.51 (4.0,7.6)
6.65 (4.8,9.2)
7.16	(5.0,10.3)
8.90(6.2,12.8)
9.06 (4.1,19.8)
7.97 (3.1,20.6)
8.17	(1.9,34.3)
5.81 (3.5,9.8)
5.34 (3.4,8.3)
7.10 (5.1,9.9)
8.41 (6.0,11.8)
13.93 (8.5,22.8)
13.86 (10.7,17.9)
16.80 (12.9,21.8)
3.50(2.2,5.6)
5.07 (2.7,9.4)
7.91 (4.5,13.9)
6.90 (4.1,11.7)
7.76 (5.1,11.7)
11.07 (6.7,18.1)
15.74 (10.5,23.6)
16.22 (12.1,21.8)
23.96 (16.9,34.0)
16.68 (10.8,25.7)
12.35 (9.5,16.0)
15.64 (12.1,20.2)
17.15 (7.6,38.5)
12.35 (9.5,16.0)
13.59 (10.2,18.0)
14.94 (10.9,20.5)
17.64 (13.6,23.0)
16.80 (10.0,28.2)
16.12 (8.4,31.0)
18.10 (5.6,58.7)
13.01 (9.1,18.7)
12.19 (8.3,17.9)
14.26 (11.0,18.6)
17.14 (13.1,22.4)
28.16 (19.1,41.6)
23.97 (18.6,30.8)
29.63 (23.3,37.7)
7.82 (4
9.43 (6
15.26 (8
12.60 (8
15.01
23.27
27.51
26.57
37.45
26.94
22.73
27.07
29.77
22.73
23.65
26.54
29.57
29.18
28.00
33.52
23.01
23.59
24.53
28.16
45.03
.9,12.4)
.2,14.3)
9.26.2)
2.19.3)
0,22.5)
2,41.0)
6,38.7)
6,35.9)
0,52.0)
2,42.2)
17.8.29.1)
21.2.34.6)
15.8.56.2)
17.8.29.1)
17.5,32.0)
19.7.35.8)
23.2.37.7)
17.1.49.9)
15.4,50.9)
11.9,94.7)
17.0,31.2)
16.6,33.4)
18.7.32.2)
20.8.38.0)
34.9.58.1)
31.84(24.6,41.1)
40.55 (31.8,51.6)
12.20(7.
13.56 (9.
21.61 (12.
18.06 (11.
22.53 (15.
38.86 (19.
36.73 (27.
35.48 (26.
47.14(34.
34.85 (21.
5,19.9)
3,19.9)
4,37.8)
9,27.4)
5,32.8)
6.77.2)
6.49.0)
6.47.3)
5.64.4)
6.56.1)
31.29 (24.4,40.1)
36.45 (28.5,46.6)
40.33 (21.8,74.6)
31.29 (24.4,40.1)
32.24(23.7,43.8)
35.89 (26.7,48.3)
39.12 (30.5,50.1)
39.11 (22.3,68.7)
36.18 (21.8,60.1)
55.65 (14.4,215.7)
31.80(23.7,42.7)
34.16 (22.4,52.0)
33.01 (25.1,43.3)
37.41 (27.8,50.4)
58.28 (45.8,74.1)
38.17 (29.4,49.6)
48.38 (38.1,61.5)
16.42 (9.3,28.9)
17.25 (11.6,25.6)
26.14 (14.8,46.2)
22.82 (15.0,34.7)
28.20	(18.9,42.1)
50.08 (23.0,109.2)
45.27 (33.5,61.1)
41.97 (31.2,56.4)
54.81 (39.8,75.5)
41.21	(25.8,65.9)
38.51 (30.1,49.2)
43.77 (34.2,56.1)
49.31 (25.6,95.1)
38.51	(30.1,49.2)
39.29 (29.1,53.1)
43.23 (31.9,58.6)
45.97 (35.5,59.5)
44.93 (27.2,74.1)
41.52	(27.0,63.9)
69.06 (17.8,268.3)
38.91 (28.7,52.7)
41.72 (26.8,64.9)
39.65 (30.2,52.0)
44.62 (33.5,59.5)
68.72 (52.5,90.0)
52.78 (40.1,69.4
68.72 (54.1,87.3
24.47 (14.9,40.1
26.87 (17.6,41.0
37.04(21.3,64.5
31.75	(19.4,52.0
41.37 (26.1,65.6
83.28 (30.1,230.5
61.69 (46.4,82.1
55.74 (40.8,76.2
70.19 (51.2,96.2
54.23 (31.7,92.6
55.76	(42.6,73.0
59.25 (46.0,76.4
70.18 (34.7,142.1
55.76 (42.6,73.0
56.64 (43.1,74.4
58.52 (42.8,79.9
61.44 (47.2,80.0
63.13 (36.4,109.6
49.83 (31.7,78.4
75.15 (34.5,163.5
51.59 (36.6,72.7
61.80(34.4,111.1
54.57 (40.9,72.8
58.89 (42.2,82.2
92.11 (67.8,125.1
C-7

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Table C-4. Total finfish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
8.36 (6.1,11.4)
12.73 (9.2,17.5)
11.55 (9.2,14.5)
12.53 (9.5,16.6)
10.72 (7.7,15.0)
11.89 (8.9,15.9)
1.67
2.64
2.50
3.02
2.26
2.61
1.0,2.9)
1.5.4.5)
1.5,4.0)
1.6.5.6)
1.2,4.2)
1.7,3.9)
5.51 (3.5,8.6)
8.23 (5.7,11.9)
7.46 (5.4,10.3)
8.76 (6.2,12.5)
7.10 (4.5,11.3)
7.66 (5.6,10.5)
11.61 (8.2,16.4)
17.69 (12.7,24.6)
15.41 (12.0,19.7)
17.29 (12.9,23.2)
14.43 (10.6,19.7)
16.23 (11.9,22.2)
19.71 (14.0,27.7)
30.38 (22.2,41.6)
27.20 (21.6,34.3)
29.52	(22.1,39.4)
25.20 (18.5,34.4)
28.53	(21.0,38.8)
26.30(18.2,38.1)
40.98 (29.6,56.8)
37.09 (29.6,46.5)
39.05 (29.3,52.1)
34.22	(24.8,47.3)
38.23	(27.8,52.7)
31.20 (20.8,46.7)
48.60 (35.3,67.0)
45.27 (35.7,57.3)
46.24 (34.4,62.1)
41.42 (29.5,58.1)
45.71 (32.8,63.7)
42.44 (26.8,67.2)
65.65 (47.5,90.8)
63.68 (49.6,81.8)
59.46 (42.6,83.1)
57.98 (39.8,84.6)
62.09 (43.0,89.6)
Pacific
11.70
00
b
i-i
2.47
In
V
o
7.96
(5.5,11.6)
16.10 (10.6,24.5)
28.05
(19.1,41.2)
37.77
(26.3,54.2)
44.88 (30.8,65.3)
58.23 (36.6,92.7)
Atlantic
12.27
(7.7,19.6)
3.10
1.9,5.1)
8.13
(4.6,14.4)
16.82 (10.0,28.3)
28.70
(17.5,47.2)
37.83
(23.4,61.2)
45.21 (28.8,70.9)
58.89 (35.4,97.9)
Gulf of Mexico
14.21
(9.4,21.5)
2.89
1.2,7.2)
8.38
(4.0,17.8)
18.55 (10.4,33.2)
35.17
(21.4,57.8)
48.61
(30.3,78.0)
59.51 (37.3,94.9)
83.32 (52.5,132.2)
Great Lakes
8.95
(5.7,14.2)
1.61
0.9,3.0)
5.07 (2.8,9.2)
12.29 (7.6,19.8)
22.35
(14.1,35.5)
30.23
(18.7,48.9)
35.50 (20.6,61.2)
45.78 (21.5,97.6)
Inland Northeast
12.59
(7.4,21.4)
2.12
1.2,3.8)
7.86
(4.6,13.5)
17.34 (10.4,28.8)
30.38
(17.8,51.9)
42.65
(22.4,81.3)
51.55 (26.3,100.9)
70.18 (35.4,139.0)
Inland Midwest
8.18
(5.6,11.9)
1.70
0.9,3.4)
5.58
(3.1,10.0)
11.48 (7.4,17.7)
19.00
(13.4,26.9)
25.15
(17.9,35.3)
29.92 (21.1,42.5)
40.05 (27.5,58.3)
Inland South
10.77
(8.0,14.6)
2.24
1.3,3.9)
7.19
(4.5,11.4)
14.46 (10.9,19.3)
25.21
(19.4,32.8)
34.22
(26.0,45.0)
41.34 (31.1,54.9)
58.28 (41.2,82.4)
Inland West
13.35
(7.9,22.4)
3.65 (1.3,10.6)
9.56
(5.2,17.4)
18.22 (11.2,29.7)
31.02
(18.2,52.8)
40.27
(24.2,66.9)
48.24 (28.3,82.2)
61.80 (39.7,96.2)
C-8

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Table C-5. Total finfish usual fish consumption rate estimates, adults >21 years





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
13.38 (10.6,16.8)
4.33 (2.8,6.8)
9.69 (7.2,13.0)
18.01 (14.1,23.0)
29.82 (23.6,37.7)
39.25 (30.8,50.0)
46.36 (36.2,59.4)
62.16 (47.9,80.7)
Gender








Female
11.96 (9.4,15.2)
3.89 (2.4,6.4)
8.71 (6.5,11.7)
16.36 (12.7,21.1)
26.82 (20.8,34.5)
34.68 (26.6,45.2)
40.98 (31.3,53.6)
55.53 (42.2,73.1)
Male
15.19 (12.0,19.2)
5.10 (3.3,7.9)
11.11 (8.2,15.0)
20.04 (15.5,25.9)
33.90(26.8,42.9)
44.68 (35.2,56.7)
51.56 (39.9,66.6)
70.67 (55.5,90.1)
Age








21 to <35 yrs
35 to <50 yrs
50 to <65 yrs
65+ yrs
WCA (13-49 years)
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
11.86 (8.2,17.2)
12.17 (9.4,15.8)
17.70(12.4,25.2)
12.33 (8.1,18.8)
9.84(7.7,12.6)
11.42 (9.0,14.4)
13.69 (10.8,17.3)
14.48 (7.4,28.3)
11.42	(9.0,14.4)
11.94 (9.1,15.6)
13.16 (9.9,17.6)
15.46 (12.1,19.7)
14.50 (8.8,23.9)
13.43	(7.6,23.9)
16.83 (5.4,52.3)
3.13 (1.2,7.9)
4.21 (3.0,5.8)
7.16	(3.8,13.5)
4.42 (2.9,6.6)
2.30 (1.3,3.9)
2.80 (1.7,4.7)
4.65 (3.0,7.1)
4.35 (1.2,16.4)
2.80 (1.7,4.7)
3.80 (2.5,5.9)
4.21 (2.7,6.6)
5.90 (3.7,9.3)
5.17	(2.4,10.9)
4.24(1.2,14.6)
4.42 (0.8,25.9)
7.80(4.5,13.4)	15.74(10.5,23.6)	27.51(19.6,38.7)	36.73(27.6,49.0)
9.04(7.0,11.7)	16.22 (12.1,21.8)	26.57(19.6,35.9)	35.48(26.6,47.3)
13.66(9.1,20.5)	23.96(16.9,34.0)	37.45(27.0,52.0)	47.14(34.5,64.4)
9.23(6.1,13.9)	16.68 (10.8,25.7)	26.94(17.2,42.2)	34.85(21.6,56.1)
6.62(4.7,9.3)	13.39(10.4,17.3)	23.05(18.0,29.4)	30.80(24.0,39.6)
7.54(5.6,10.1)	15.15 (11.9,19.3)	26.02(20.4,33.3)	35.23(27.4,45.3)
10.05(7.5,13.4)	18.42(14.3,23.6)	30.29(23.8,38.6)	39.66(30.9,50.9)
10.30 (4.5,23.8)	18.64 (10.4,33.3)	32.57 (18.6,57.0)	45.66 (22.5,92.4)
7.54(5.6,10.1)	15.15 (11.9,19.3)	26.02(20.4,33.3)	35.23(27.4,45.3)
8.57(6.4,11.4)	15.89(11.8,21.4)	26.49(19.5,35.9)	35.55(26.3,48.0)
9.39 (6.7,13.2)	17.63 (13.0,23.9)	29.83(22.3,39.9)	39.51(29.2,53.4)
11.70(8.7,15.7)	20.69 (16.1,26.6)	33.09 (25.9,42.3)	42.90(33.5,54.9)
11.17 (5.9,21.2)	18.67 (11.9,29.3)	31.63(19.4,51.4)	41.56(25.4,68.1)
10.05 (4.6,22.1)	18.27 (10.3,32.5)	30.90(17.7,53.8)	39.51(23.3,66.9)
11.38 (3.0,43.8)	19.41 (7.6,49.3)	40.63(12.9,127.5)	62.28(15.1,256.3)
Mexican American
12.66 (8.9,18.0)
3.72 (1.6,8.5)
9.22
(5.5,15.3)
17.31
(11.8,25.5)
28.40
(20.4,39.6)
37.92
(27.4,52.5)
Other Hispanic
12.38 (8.4,18.2)
3.67 (1.9,7.0)
8.02
(5.2,12.3)
15.96
(11.1,23.0)
28.46
(19.0,42.7)
39.06
(24.8,61.5)
White
12.23 (9.5,15.7)
4.16 (2.7,6.5)
9.05
(6.8,12.0)
16.50
(12.6,21.6)
27.08
(20.7,35.5)
35.37
(26.7,46.8)
Black
15.30(12.0,19.6)
5.53 (3.1,9.9)
11.77
(8.4,16.5)
21.04
(16.2,27.3)
32.72
(24.7,43.3)
42.43
(32.2,55.9)
Other race
24.48 (18.0,33.3)
9.28 (5.1,16.8)
19.45 (12.2,30.9)
33.79
(24.1,47.4)
51.47
(39.6,66.9)
64.68
(49.3,84.8)
45.27 (33.5,61.1)
41.97 (31.2,56.4)
54.81 (39.8,75.5)
41.21 (25.8,65.9)
37.14 (28.7,48.1)
42.94 (33.1,55.7)
46.56 (36.0,60.3)
55.65 (25.0,123.9)
42.94 (33.1,55.7)
42.79 (31.7,57.8)
46.49 (34.4,62.9)
49.34 (38.0,64.0)
47.52 (29.7,76.0)
45.66 (28.1,74.3)
71.34 (19.6,259.9)
44.51 (32.4,61.2)
48.60 (27.9,84.6)
42.21 (32.0,55.8)
49.08 (36.5,66.0)
76.63 (57.7,101.8)
61.69 (46.4,82.1)
55.74 (40.8,76.2)
70.19 (51.2,96.2)
54.23 (31.7,92.6)
50.93 (38.7,67.1)
59.92 (44.6,80.4)
61.80 (46.5,82.1)
71.34(37.6,135.2)
59.92 (44.6,80.4)
58.28 (42.2,80.5)
61.54	(44.7,84.8)
64.88 (49.1,85.8)
64.77 (39.0,107.6)
52.65 (33.0,83.9)
79.19 (33.8,185.7)
58.73 (41.6,82.9)
68.53 (35.5,132.3)
55.55	(40.7,75.8)
63.98 (45.5,89.9)
101.62 (72.5,142.4)
Table C-5. Total finfish usual fish consumption rate estimates, adults >21 years (continued)
C-9

-------





Percentiles (95% CI)



Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
10.24 (7.4,14.1)
14.64(10.9,19.6)
13.84(11.1,17.2)
15.19 (11.4,20.2)
3.46 (1.9,6.4)
4.68 (2.8,7.8)
4.43 (2.9,6.9)
5.50 (3.5,8.7)
7.53 (5.0,11.2)
10.83 (7.7,15.2)
9.82 (7.4,13.0)
11.42 (8.3,15.7)
13.90 (10.0,19.4)
20.15 (14.9,27.2)
18.34 (14.6,23.1)
20.56 (15.2,27.7)
22.52 (15.9,31.8)
32.43 (24.0,43.7)
30.77 (24.5,38.6)
33.37 (24.9,44.7)
29.42 (20.3,42.6)
42.51 (32.0,56.4)
41.57 (32.9,52.5)
43.13 (32.0,58.1)
34.34 (22.8,51.7)
49.43 (36.7,66.5)
49.09 (38.6,62.4)
49.58 (36.7,67.0)
45.94 (29.2,72.3)
61.50 (42.6,88.7)
68.72 (52.4,90.1)
63.78 (46.0,88.5)
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
12.83 (9.2,17.9)
14.24(10.4,19.5)
14.23 (9.
14.53 (8.
16.33 (10.
11.35 (7.
14.17 (8.
9.93 (6.
13.17 (9.
16.22 (9.
9.20.4)
7,24.2)
8,24.7)
3,17.7)
7.23.0)
8.14.5)
6.18.1)
4,28.1)
4.25 (2.2,8.4)
4.46 (2.9,6.8)
4.81 (3.1,7.4)
4.92 (2.5,9.8)
4.15	(2.3,7.5)
3.28 (1.7,6.2)
4.16	(1.9,9.3)
3.51 (1.6,7.8)
4.36 (2.1,9.2)
6.37 (2.7,14.8)
9.41 (6.2,14.2)
10.11 (7.1,14.4)
10.46
10.63
10.35
7.81
10.49
7.46
9.65
12.46
17.22 (12.6,23.6)
19.35 (14.1,26.6)
(7.0,15.5)
(5.9.19.1)
(5.6.19.2)
(4.7,13.0)
(6.0,18.2)
(4.4,12.5)
(6.3,14.8)
(7.0,22.0)
19.46 (13.
19.71 (11.
21.27 (12.
16.14 (11.
19.59 (12.
13.37 (9.
17.43 (13.
21.80 (12.
28.30 (20.8,38.5)
32.10 (23.5,43.9)
5,28.1)
5,33.8)
8,35.3)
0,23.6)
3,31.3)
1,19.7)
2.23.0)
8.37.1)
31.64
32.33
39.99
26.25
31.54
21.42
28.90
35.00
37.18 (27.2,50.8)
42.40(31.3,57.4)
(22.0,45.5)
(20.2,51.6)
(22.2,72.0)
(17.0,40.5)
(20.1,49.6)
(15.1.30.4)
(22.0,37.9)
(19.9.61.5)
41.98 (29
41.52 (26
51.16 (29
33.30(19
42.49 (25
27.66 (19
38.14(29
45.08 (26
.8,59.1)
.0,66.2)
.5,88.6)
.7,56.4)
.6,70.6)
.5,39.3)
.2,49.9)
.0,78.3)
44.49 (31.9,62.1)
49.31 (34.7,70.2)
47.91 (32.0,71.7)
48.72 (30.7,77.2)
62.44 (36.5,106.7)
38.84 (22.1,68.2)
49.34 (30.1,80.8)
32.61 (22.7,46.9)
45.41 (34.1,60.5)
51.03 (31.2,83.6)
59.59 (42.2,84.0)
64.60 (41.5,100.7)
61.39	(37.3,101.0)
62.38 (37.4,104.2)
87.20 (53.2,142.8)
50.24 (24.6,102.6)
64.36 (39.1,105.9)
44.71 (31.2,64.1)
62.91 (43.9,90.0)
66.40	(40.9,107.8)
C-10

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Table C-6. Total finfish usual fish consumption rate estimates, youth <21 years
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
5.69 (4.0,8.1)
0.82 (0.5,1.4)
2.64 (1.6,4.4)
6.96 (4.7,10.4)
13.83 (10.0,19.1)
20.83 (14.9,29.1)
26.63 (19.0,37.4)
4.93 (3.5,6.8)
0.72 (0.4,1.2)
2.26 (1.4,3.7)
6.09 (4.2,8.9)
12.52 (8.9,17.6)
18.39 (13.2,25.5)
23.43 (17.0,32.3)
6.49 (4.3,9.7)
0.96 (0.5,1.7)
3.12 (1.7,5.6)
7.74(5.2,11.6)
15.50 (10.8,22.2)
23.42 (16.2,33.9)
29.57 (20.1,43.6)
3.09 (2.0,4.8)
0.43 (0.2,0.8)
1.32 (0.7,2.4)
3.50(2.2,5.6)
7.82 (4.9,12.4)
12.20(7.5,19.9)
16.42 (9.3,28.9)
4.01 (2.4,6.8)
0.69 (0.2,2.0)
2.25 (0.9,5.7)
5.07 (2.7,9.4)
9.43 (6.2,14.3)
13.56 (9.3,19.9)
17.25 (11.6,25.6)
6.01 (3.5,10.2)
0.96 (0.5,2.0)
3.15 (1.6,6.1)
7.91 (4.5,13.9)
15.26 (8.9,26.2)
21.61 (12.4,37.8)
26.14 (14.8,46.2)
5.15 (3.3,7.9)
0.86 (0.5,1.5)
2.67 (1.5,4.8)
6.90(4.1,11.7)
12.60 (8.2,19.3)
18.06 (11.9,27.4)
22.82 (15.0,34.7)
6.04(4.2,8.7)
0.81 (0.4,1.6)
2.88 (1.7,4.8)
7.76 (5.1,11.7)
15.01 (10.0,22.5)
22.53 (15.5,32.8)
28.20 (18.9,42.1)
9.59 (5.6,16.4)
1.32 (0.7,2.5)
4.35 (2.6,7.3)
11.07 (6.7,18.1)
23.27 (13.2,41.0)
38.86 (19.6,77.2)
50.08 (23.0,109.2)
5.20(3.7,7.2)
0.82 (0.5,1.4)
2.54 (1.6,3.9)
6.41 (4.4,9.3)
12.68 (8.2,19.6)
18.71 (12.2,28.7)
24.36 (16.4,36.2)
5.73 (3.9,8.4)
0.82 (0.5,1.4)
2.62 (1.6,4.4)
6.98 (4.5,10.8)
13.84 (9.7,19.7)
20.83 (14.6,29.7)
26.50 (18.5,37.9)
7.51 (2.7,20.7)
1.00 (0.4,2.4)
3.61 (1.0,13.4)
8.93 (2.9,27.4)
20.72 (5.7,75.6)
28.93 (10.2,82.1)
35.82 (14.7,87.5)
5.20(3.7,7.2)
0.82 (0.5,1.4)
2.54 (1.6,3.9)
6.41 (4.4,9.3)
12.68 (8.2,19.6)
18.71 (12.2,28.7)
24.36 (16.4,36.2)
5.74(3.8,8.6)
0.78 (0.5,1.2)
2.46 (1.6,3.8)
6.59 (4.5,9.6)
13.84 (9.7,19.7)
20.75 (14.8,29.0)
27.23 (18.8,39.5)
5.31 (3.5,8.1)
0.71 (0.4,1.2)
2.42 (1.3,4.4)
6.58 (4.1,10.6)
12.53 (7.9,19.8)
19.69 (12.5,31.0)
24.16 (13.7,42.6)
5.95 (3.8,9.3)
0.90 (0.4,1.9)
2.86 (1.5,5.5)
7.38 (4.4,12.3)
14.59 (9.7,22.0)
21.58 (14.3,32.5)
28.04 (17.9,44.0)
6.17 (3.2,11.7)
1.22 (0.5,3.3)
3.80 (1.7,8.7)
8.26 (3.7,18.4)
14.15 (7.3,27.4)
22.10 (10.1,48.3)
24.42 (11.1,53.9)
6.25 (2.2,17.8)
0.89 (0.4,1.9)
3.20(1.0,10.6)
7.60(2.3,25.0)
16.53 (4.8,57.3)
24.25 (7.5,77.9)
27.81 (11.2,68.8)
9.26 (2.4,35.6)
1.14 (0.2,5.3)
4.54(0.7,30.3)
11.29 (2.2,56.8)
26.15 (4.8,141.1)
35.87 (9.5,136.0)
45.92 (13.7,153.4)
4.71 (3.3,6.7)
0.78 (0.5,1.3)
2.40 (1.5,3.8)
6.02 (4.1,8.8)
11.40 (7.5,17.3)
16.78 (11.1,25.3)
21.50 (14.4,32.0)
4.25 (2.1,8.8)
0.56 (0.2,1.6)
1.85 (0.8,4.4)
5.06 (2.3,11.4)
10.51 (4.7,23.7)
15.65 (6.9,35.3)
20.43 (9.7,43.0)
5.47 (3.0,9.9)
0.75 (0.4,1.5)
2.34 (1.2,4.6)
6.38 (3.5,11.6)
12.99 (7.9,21.3)
20.18 (11.4,35.6)
26.07 (14.8,45.8)
6.11 (3.9,9.6)
1.24 (0.8,2.0)
3.78 (2.5,5.7)
8.14(5.2,12.8)
14.48 (8.6,24.5)
19.82 (10.9,35.9)
24.61 (13.8,43.8)
9.79 (6.4,15.0)
1.52 (0.7,3.4)
5.35 (2.6,11.1)
13.20(7.6,22.9)
24.79 (16.8,36.6)
34.30 (24.0,48.9)
41.37 (28.3,60.6)
99"
All Youth
Gender
Female
Male
Age
I	to <3 yrs
3 to <6 yrs
6 to <11 yrs
II	to <16 yrs
16 to <18 yrs
18 to <21 yrs
Income
<$20,000
>$20,000
Income unknown
Income, finer detail
<$20,000
$20k-$45k
$45k-$75k
$75k+
>$20,000
Inc Ref/DK
Inc missing
Race/Ethnicity
Mexican American
Other Hispanic
White
Black
Other race
43.57 (29.0,65.5)
35.84(26.1,49.2)
54.48 (28.7,103.4)
24.47 (14.9,40.1)
26.87 (17.6,41.0)
37.04(21.3,64.5)
31.75 (19.4,52.0)
41.37 (26.1,65.6)
83.28 (30.1,230.5)
38.63 (28.1,53.0)
44.84(27.8,72.3)
53.33 (22.2,128.4)
38.63 (28.1,53.0)
47.72 (25.7,88.5)
44.30(23.5,83.4)
43.57 (27.6,68.8)
38.13 (17.2,84.8)
35.41 (18.9,66.3)
54.36 (19.4,152.5)
33.34(22.4,49.5)
38.57 (22.3,66.7)
45.93 (20.5,102.8)
34.12 (17.0,68.4)
56.31 (37.3,85.1)
C-ll

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412	Table C-6. Total finfish usual fish consumption rate estimates, youth <21 years (continued)
413






Percentiles (95% CI)


Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
3.59 (2.4,5.5)
0.63
(0.3,1.3)
1.73 (1.0,2.9)
4.68 (3.2,6.9)
9.06 (5.9,14.0)
12.87 (7.2,22.9)
15.84 (7.7,32.7)
23.10 (9.1,58.8)
Northeast
7.75 (3.2,19.1)
0.96
(0.5,1.8)
3.05 (1.8,5.2)
7.65 (4.8,12.1)
18.39 (8.3,40.7)
34.24 (9.1,129.4)
44.56 (11.4,174.4)
74.65 (14.5,384.7)
South
5.72 (3.9,8.4)
0.87
(0.5,1.4)
2.76 (1.7,4.4)
7.21 (4.7,11.1)
14.06 (9.4,20.9)
20.39 (13.8,30.1)
25.71 (17.5,37.8)
39.63 (26.7,58.9)
West
6.47 (3.9,10.7)
1.04
(0.5,2.3)
3.37 (1.5,7.7)
8.61 (4.5,16.4)
16.11 (9.7,26.7)
23.32 (14.0,38.9)
28.20 (17.0,46.7)
41.40 (26.1,65.7)
Coastal Status









Noncoastal
5.52 (3.5,8.6)
0.80
(0.5,1.3)
2.53 (1.5,4.3)
6.66 (4.4,10.2)
12.99 (8.9,19.0)
20.03 (12.8,31.3)
26.07 (15.9,42.7)
44.91 (21.9,92.1)
Coastal
5.97 (4.2,8.4)
0.87
(0.4,1.7)
2.83 (1.6,5.1)
7.40 (4.8,11.3)
14.93 (10.4,21.4)
21.97 (15.6,30.9)
27.37 (19.1,39.3)
41.02 (27.1,62.0)
Coastal/Inland Region









Pacific
5.13 (3.3,7.9)
0.74
(0.4,1.5)
2.54(1.3,4.9)
6.61 (4.0,10.8)
13.43 (8.2,22.1)
19.60(11.3,33.9)
23.61 (11.8,47.3)
32.16 (12.5,82.6)
Atlantic
6.15 (3.6,10.5)
1.04
(0.5,2.2)
3.35 (1.6,7.1)
7.91 (4.3,14.6)
15.34 (9.0,26.1)
21.30(13.0,34.8)
26.40 (16.2,43.0)
36.91 (21.8,62.6)
Gulf of Mexico
9.54(3.7,24.9)
1.23
(0.4,3.5)
4.56 (1.4,15.2)
12.04 (3.7,39.7)
23.94(8.3,69.1)
34.50(14.3,83.5)
43.57 (19.9,95.5)
74.30 (31.8,173.4)
Great Lakes
3.62 (1.3,10.2)
0.62
(0.2,1.6)
1.77 (0.9,3.6)
4.25 (1.6,11.3)
8.72 (2.3,32.5)
13.13 (3.3,52.1)
16.34 (3.9,69.1)
25.16 (5.7,110.4)
Inland Northeast
8.41 (2.7,26.5)
0.80
(0.5,1.3)
2.59 (1.5,4.5)
6.79 (4.2,11.1)
20.63 (6.8,62.2)
43.15 (6.2,301.2)
58.95 (7.1,488.0)
85.32 (10.8,675.7)
Inland Midwest
3.57 (2.5,5.0)
0.63
(0.3,1.4)
1.73 (0.9,3.3)
4.75 (2.8,8.1)
9.14(6.5,12.8)
12.69 (9.2,17.4)
15.66 (11.0,22.3)
22.40 (13.7,36.5)
Inland South
4.65 (2.9,7.4)
0.76
(0.5,1.3)
2.36 (1.4,3.9)
6.22 (3.9,10.0)
11.43 (6.8,19.2)
16.49 (10.0,27.2)
20.64 (12.4,34.3)
28.93 (16.8,50.0)
Inland West
7.59 (3.2,17.8)
1.38
(0.4,4.3)
4.34 (1.2,15.4)
10.02 (4.0,24.9)
18.67 (8.3,41.7)
25.48 (12.0,54.2)
32.45 (14.7,71.8)
46.84 (22.3,98.3)
414
415
416
417
418
419
C-12

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420	Table C-7. Total shellfish usual fish consumption rate estimates, all ages
421
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
G g n d s r
5.25 (3.5,8.0)
0.61 (0.3,1.2)
2.13 (1.2,3.9)
6.02 (3.6,10.0)
13.60 (8.9,20.9)
21.23 (14.6,30.8)
27.62 (19.5,39.2)
42.04 (29.4,60.1)
Female
4.40(2.9,6.7)
0.52(0.2,1.1)
1.81
1.0,3.4)
5.16 (3.2,8.4)
11.45 (7.6,17.3)
17.38 (11.8,25.6)
22.31 (15.4,32.2)
33.74 (23.0,49.4)
Male
6.27 (4.0,9.7)
0.76 (0.4,1.5)
2.54
1.3,4.9)
7.28 (4.3,12.5)
16.48 (10.6,25.6)
25.81 (17.9,37.3)
33.01 (23.1,47.2)
49.46 (34.6,70.7)
Age
1 to <3 yrs
1.01 (0.5,2.0)
0.10 (0.0,0.3)
0.30
0.1,0.7)
0.92 (0.4,2.0)
2.35 (1.1,4.9)
4.17 (1.9,9.0)
6.02 (2.8,13.1)
12.49 (5.2,30.3)
3 to <6 yrs
1.87 (1.0,3.4)
0.22 (0.1,0.5)
0.74
0.3,1.6)
2.15 (1.1,4.2)
4.76 (2.5,9.1)
7.39 (4.0,13.7)
10.02 (5.8,17.4)
16.78 (9.6,29.2)
6 to <11 yrs
1.48 (0.7,3.3)
0.13 (0.0,0.5)
0.44
0.1,1.4)
1.41 (0.5,3.7)
3.61 (1.6,8.2)
6.25 (3.0,13.1)
9.66 (4.9,19.0)
15.89 (6.7,37.6)
11 to <16 yrs
2.19 (0.5,8.9)
0.22 (0.1,0.5)
0.69
0.2,1.9)
2.18 (0.7,7.0)
5.30 (1.2,24.1)
9.29 (2.0,43.1)
12.25 (2.3,65.8)
19.29 (2.4,157.1)
16 to <18 yrs
3.23 (1.8,5.7)
0.42 (0.2,1.0)
1.22
0.6,2.6)
3.79 (1.9,7.4)
7.73 (4.0,15.0)
12.55 (6.9,22.8)
17.83 (10.0,31.8)
30.00 (16.2,55.6)
18 to <21 yrs
5.64 (2.6,12.2)
0.61 (0.2,1.6)
1.93
0.9,4.1)
6.15 (2.8,13.7)
14.08 (6.8,29.4)
24.84 (9.6,64.5)
32.51 (12.5,84.4)
51.79 (20.7,129.5)
21 to <35 yrs
6.04(4.3,8.4)
0.91 (0.5,1.6)
2.79
1.8,4.4)
7.07 (4.9,10.3)
15.25 (10.9,21.3)
23.19 (16.4,32.9)
29.32 (20.8,41.4)
45.67 (31.2,66.8)
35 to <50 yrs
7.01 (4.5,11.0)
1.22 (0.6,2.5)
3.42
1.9,6.0)
8.29 (4.9,13.9)
17.39 (10.9,27.8)
26.33 (16.6,41.9)
33.10 (20.2,54.1)
49.86 (29.3,84.8)
50 to <65 yrs
7.05 (4.0,12.4)
1.39 (0.5,3.7)
3.70
1.7,8.3)
8.81 (4.6,16.8)
17.69 (10.5,29.9)
25.40 (15.8,40.8)
30.66 (18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
Income
4.51 (2.3,8.8)
0.65 (0.2,1.9)
1.92
0.8,4.7)
5.03 (2.1,11.8)
11.56 (5.8,23.1)
18.25 (10.4,32.0)
23.74 (14.2,39.7)
37.46 (25.3,55.4)
<$20,000
3.96 (2.5,6.3)
0.42 (0.2,1.0)
1.45
0.7,3.1)
4.36 (2.4,7.7)
10.36 (6.7,16.1)
16.00 (10.3,24.9)
21.00 (13.6,32.4)
33.73 (22.4,50.9)
>$20,000
5.40(3.5,8.4)
0.66 (0.3,1.3)
2.24
1.2,4.2)
6.26 (3.7,10.7)
13.92 (8.8,22.1)
21.69 (14.6,32.1)
28.12 (19.4,40.8)
42.10 (28.5,62.1)
Income unknown
7.67 (4.4,13.5)
0.87 (0.4,1.8)
3.12
1.8,5.5)
8.40 (5.1,13.7)
20.39 (11.5,36.0)
31.25 (16.2,60.4)
39.65 (19.7,79.9)
63.65 (26.1,155.2)
Income, finer detail









<$20,000
3.96 (2.5,6.3)
0.42 (0.2,1.0)
1.45
0.7,3.1)
4.36 (2.4,7.7)
10.36 (6.7,16.1)
16.00 (10.3,24.9)
21.00 (13.6,32.4)
33.73 (22.4,50.9)
$20k-$45k
4.48 (3.1,6.5)
0.55 (0.3,1.0)
1.79
1.1,3.0)
5.07 (3.3,7.7)
11.78 (7.8,17.9)
18.13 (12.0,27.3)
23.09 (15.8,33.7)
36.48 (25.0,53.1)
$45k-$75k
5.09 (3.0,8.6)
0.60 (0.2,1.5)
2.10
1.0,4.4)
5.88 (3.2,10.9)
13.35 (8.1,22.0)
20.51 (12.9,32.6)
26.21 (16.4,41.8)
40.59 (26.5,62.2)
$75k+
6.40 (3.6,11.4)
0.83 (0.3,2.0)
2.80
1.2,6.3)
7.66 (3.8,15.5)
16.52 (9.0,30.2)
25.92 (16.6,40.4)
31.91 (19.8,51.4)
48.24 (31.9,73.1)
>$20,000
4.83 (2.5,9.5)
0.78 (0.3,1.8)
2.44
1.1,5.5)
6.04 (2.9,12.4)
11.72 (5.7,24.0)
19.23 (9.4,39.3)
22.63 (11.5,44.7)
35.42 (18.5,67.8)
Inc Ref/DK
8.95 (4.6,17.4)
1.13 (0.5,2.4)
3.92
2.1,7.4)
10.29 (5.7,18.4)
24.03 (11.7,49.2)
37.73 (15.3,93.1)
47.16 (19.2,115.6)
66.11 (28.9,151.2)
Inc missing
5.22 (2.2,12.2)
0.63 (0.2,2.1)
2.27
0.7,7.2)
6.26 (2.3,17.4)
15.02 (5.7,39.2)
21.40 (9.0,50.6)
26.81 (11.7,61.6)
37.44 (17.3,80.9)
Race/Ethnicity









Mexican American
5.23 (3.2,8.5)
0.57(0.3,1.1)
2.08
1.2,3.7)
6.03 (3.6,10.2)
14.28 (9.3,22.0)
21.02 (13.1,33.8)
26.71 (16.0,44.7)
40.09 (20.6,78.0)
Other Hispanic
5.84(3.5,9.8)
0.39 (0.1,1.1)
1.89
0.9,3.9)
6.58 (3.7,11.6)
16.30 (9.5,27.9)
25.12 (14.7,43.0)
32.42 (18.5,56.7)
54.95 (30.5,99.1)
White
4.93 (2.9,8.3)
0.60 (0.3,1.3)
2.04
1.0,4.0)
5.66 (3.0,10.6)
12.66 (7.2,22.4)
19.85 (12.2,32.2)
25.94 (16.7,40.2)
39.73 (26.3,60.1)
Black
4.32 (2.9,6.4)
0.61 (0.3,1.4)
2.00
1.1,3.7)
5.27 (3.3,8.3)
11.08 (7.6,16.1)
16.00 (10.8,23.6)
20.73 (14.5,29.5)
31.18 (21.5,45.3)
Other race
10.11 (5.2,19.7)
1.34 (0.7,2.7)
5.13 (2.0,12.9)
13.00 (5.9,28.7)
25.78 (13.2,50.4)
39.47 (18.6,83.7)
46.46 (25.3,85.3)
69.15 (37.5,127.6)
422
C-13

-------
Table C-7. Total shellfish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region









Midwest
2.91 (1.5,5.5)
0.38
(0.2,0.8)
1.18 (0.5,2.6)
3.19 (1.5,6.9)
7.11 (3.6,14.2)
11.20(5.9,21.1)
14.64 (7.6,28.4)
26.90 (16.0,45.4)
Northeast
7.98 (4.8,13.3)
0.82
(0.2,3.0)
3.40(1.4,8.2)
9.50 (4.6,19.6)
21.43 (13.7,33.5)
31.31 (20.5,47.9)
39.34 (26.1,59.4)
58.08 (37.5,89.9)
South
5.57 (3.7,8.5)
0.76
(0.4,1.4)
2.48 (1.5,4.2)
6.63 (4.2,10.5)
14.42 (9.2,22.6)
21.59 (14.0,33.4)
27.59 (18.1,42.0)
41.44 (28.2,61.0)
West
5.46 (3.2,9.3)
0.75
(0.4,1.6)
2.47 (1.2,5.0)
6.59 (3.6,12.2)
14.04 (8.1,24.2)
21.23 (13.1,34.5)
26.56 (16.1,43.9)
40.07 (24.4,65.8)
Coastal Status









Noncoastal
4.32 (2.7,6.9)
0.52
(0.3,1.0)
1.71 (0.9,3.2)
4.77 (2.7,8.4)
10.88 (6.6,18.0)
17.12 (10.6,27.6)
22.93 (14.7,35.7)
37.65 (24.4,58.2)
Coastal
6.70 (4.2,10.8)
0.86
(0.4,2.0)
3.07 (1.6,6.0)
8.29 (4.7,14.6)
17.55 (10.9,28.3)
26.08 (17.0,40.0)
32.16 (21.1,48.9)
47.92 (32.9,69.7)
Coastal/Inland Region









Pacific
6.15 (3.4,11.1)
0.77
(0.3,1.8)
2.91 (1.4,5.9)
7.74 (4.1,14.7)
16.12 (8.8,29.6)
23.74 (13.2,42.7)
29.40 (16.5,52.5)
42.89 (23.4,78.5)
Atlantic
6.88 (3.2,14.9)
1.01
(0.3,3.5)
3.46 (1.2,9.6)
8.80(3.7,21.0)
17.76 (8.4,37.5)
25.93 (13.6,49.3)
31.29 (16.4,59.7)
45.19 (25.8,79.3)
Gulf of Mexico
9.80 (5.0,19.1)
1.52
(0.4,5.3)
5.04(1.8,13.7)
12.86 (5.8,28.6)
25.38 (12.6,51.0)
35.10 (18.9,65.2)
42.99 (24.5,75.5)
60.66 (37.7,97.6)
Great Lakes
4.35 (2.5,7.6)
0.49
(0.2,1.5)
1.55 (0.5,4.6)
4.53 (2.2,9.4)
10.35 (5.7,18.9)
17.27 (9.9,30.1)
26.05 (14.7,46.3)
44.34 (22.6,87.2)
Inland Northeast
8.52 (5.4,13.4)
0.67
(0.1,3.6)
3.05 (1.1,8.7)
9.87 (5.2,18.6)
23.45 (14.7,37.5)
35.55 (21.6,58.4)
44.13 (26.7,72.9)
67.46 (37.3,121.9)
Inland Midwest
2.50(1.3,4.8)
0.35
(0.2,0.8)
1.09 (0.5,2.3)
2.90 (1.4,6.0)
6.32 (3.2,12.5)
9.61 (4.9,19.0)
12.59 (6.6,24.1)
20.69 (11.2,38.3)
Inland South
3.97 (2.7,5.9)
0.60
(0.3,1.1)
1.92 (1.1,3.3)
4.90 (3.2,7.6)
10.02 (6.8,14.8)
14.76 (10.0,21.8)
18.52 (12.6,27.2)
27.72 (19.1,40.2)
Inland West
4.77 (2.4,9.6)
0.72
(0.3,1.7)
2.15 (0.9,5.3)
5.62 (2.5,12.4)
12.16 (6.1,24.4)
18.99 (10.6,34.2)
23.93 (13.3,43.1)
36.21 (19.8,66.3)
C-14

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427	Table C-8. Total shellfish usual fish consumption rate estimates, adults >21 years
428
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
6.35 (4.2,9.6)
1.03 (0.5,2.2)
3.01 (1.7,5.4)
7.56 (4.6,12.5)
15.99 (10.6,24.2)
24.18 (16.9,34.5)
30.09 (20.8,43.5)
45.50 (31.9,64.9)
Ucfiacl
Female
5.24(3.5,7.9)
0.87 (0.4,1.8)
2.54
1.4,4.5)
6.29 (3.8,10.3)
13.21 (8.8,19.8)
19.65 (13.7,28.2)
24.33 (16.8,35.3)
36.72 (25.6,52.7)
Male
7.78 (5.0,12.0)
1.36 (0.7,2.8)
3.77
2.0,7.2)
9.34 (5.5,16.0)
19.96 (13.3,29.9)
29.28 (20.3,42.3)
37.02 (26.2,52.3)
52.89 (36.0,77.7)
Age
21 to <35 yrs
6.04(4.3,8.4)
0.91 (0.5,1.6)
2.79
1.8,4.4)
7.07 (4.9,10.3)
15.25 (10.9,21.3)
23.19 (16.4,32.9)
29.32 (20.8,41.4)
45.67 (31.2,66.8)
35 to <50 yrs
7.01 (4.5,11.0)
1.22 (0.6,2.5)
3.42
1.9,6.0)
8.29 (4.9,13.9)
17.39 (10.9,27.8)
26.33 (16.6,41.9)
33.10 (20.2,54.1)
49.86 (29.3,84.8)
50 to <65 yrs
7.05 (4.0,12.4)
1.39 (0.5,3.7)
3.70
1.7,8.3)
8.81 (4.6,16.8)
17.69 (10.5,29.9)
25.40 (15.8,40.8)
30.66 (18.9,49.8)
44.79 (30.0,66.9)
65+ yrs
4.51 (2.3,8.8)
0.65 (0.2,1.9)
1.92
0.8,4.7)
5.03 (2.1,11.8)
11.56 (5.8,23.1)
18.25 (10.4,32.0)
23.74 (14.2,39.7)
37.46 (25.3,55.4)
WCA (13-49 years)
4.95 (3.4,7.1)
0.69 (0.4,1.3)
2.24
1.4,3.7)
5.85 (3.8,8.9)
12.53 (8.6,18.4)
18.66 (12.8,27.1)
24.02 (16.8,34.4)
37.23 (25.2,55.0)
Income
<$20,000
4.76 (3.0,7.6)
0.65 (0.3,1.6)
2.05
1.0,4.1)
5.52 (3.2,9.6)
12.05 (7.6,19.1)
18.57 (12.1,28.4)
23.88 (15.7,36.2)
39.56 (26.9,58.2)
>$20,000
6.54 (4.2,10.1)
1.12 (0.5,2.4)
3.18
1.7,5.8)
7.84 (4.7,13.2)
16.48 (10.8,25.2)
24.69 (17.0,35.9)
30.59 (20.7,45.3)
45.20 (30.3,67.5)
Income unknown
9.00 (5.2,15.6)
1.51 (0.7,3.2)
4.41
2.6,7.6)
10.50 (6.4,17.3)
22.62 (12.9,39.6)
34.76 (17.2,70.4)
46.50 (18.6,116.5)
66.11 (26.4,165.5)
Income, finer detail









<$20,000
4.76 (3.0,7.6)
0.65 (0.3,1.6)
2.05
1.0,4.1)
5.52 (3.2,9.6)
12.05 (7.6,19.1)
18.57 (12.1,28.4)
23.88 (15.7,36.2)
39.56 (26.9,58.2)
$20k-$45k
5.39 (3.7,7.8)
0.88 (0.5,1.6)
2.50
1.5,4.1)
6.28 (4.2,9.5)
13.81 (9.1,21.0)
20.43 (13.7,30.6)
25.21 (17.8,35.7)
38.84 (27.4,55.1)
$45k-$75k
6.17 (3.7,10.2)
1.01 (0.4,2.6)
2.93
1.4,6.0)
7.38 (4.1,13.2)
15.80 (9.8,25.5)
23.53 (14.9,37.1)
29.00 (18.1,46.5)
43.18 (27.6,67.6)
$75k+
7.83 (4.4,14.0)
1.54 (0.6,3.8)
4.08
1.9,8.9)
9.44 (4.5,20.0)
19.69 (11.6,33.4)
28.64 (18.0,45.5)
35.29 (22.1,56.2)
50.60 (31.8,80.5)
>$20,000
5.56 (2.8,11.2)
1.03 (0.4,2.8)
2.87
1.2,6.8)
6.98 (3.4,14.4)
13.18 (6.2,28.2)
20.43 (10.1,41.1)
24.30 (11.7,50.3)
37.71 (18.8,75.6)
Inc Ref/DK
10.28 (5.3,20.0)
1.73 (0.9,3.4)
5.13
2.7,9.6)
12.28 (6.9,22.0)
26.56 (12.8,55.0)
39.43 (16.8,92.7)
55.89 (16.4,191.0)
68.50 (29.3,160.0)
Inc missing
6.10 (2.5,15.0)
1.03 (0.3,3.8)
2.90
0.9,9.6)
7.13 (2.3,22.1)
17.46 (6.4,47.9)
22.57 (9.7,52.7)
24.73 (10.4,58.9)
37.44 (18.0,77.8)
Race/Ethnicity









Mexican American
7.11 (4.4,11.5)
1.34 (0.7,2.6)
3.54
1.9,6.6)
9.04 (5.7,14.4)
18.09 (11.6,28.2)
25.25 (15.3,41.8)
31.69 (19.0,52.9)
46.21 (24.4,87.7)
Other Hispanic
8.24 (4.7,14.4)
1.21 (0.6,2.4)
3.87
2.1,7.0)
9.72 (5.4,17.4)
21.39 (11.5,39.8)
31.76 (17.2,58.5)
38.12 (20.4,71.1)
59.42 (31.9,110.8)
White
5.85 (3.4,10.1)
0.95 (0.4,2.3)
2.75
1.3,5.7)
6.96 (3.7,13.2)
14.74 (8.4,25.7)
22.25 (13.7,36.1)
28.42 (18.1,44.6)
41.99 (26.7,65.9)
Black
5.29 (3.7,7.5)
1.02 (0.5,2.0)
2.83
1.7,4.7)
6.61 (4.4,9.8)
13.07 (9.2,18.6)
18.57 (13.0,26.5)
22.97 (16.0,32.9)
34.03 (22.9,50.6)
Other race
11.95 (6.2,23.1)
2.20(1.1,4.4)
6.86 (2.9,16.3)
15.49 (7.5,32.1)
29.57 (14.9,58.7)
41.83 (21.9,79.9)
49.50 (28.0,87.5)
76.70 (36.5,161.0)
C-15

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Table C-8. Total shellfish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th 95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
Pacific
Atlantic
Gulf of Mexico
Great Lakes
Inland Northeast
Inland Midwest
Inland South
Inland West
3.18 (1.6,6.4)
10.16 (6.3,16.4)
6.89 (4.5,10.6)
6.41 (3.7,11.1)
5.27 (3.2,8.7)
8.05 (5.0,12.9)
6.97 (3.7,13.1)
8.47 (4.2,17.0)
12.85 (6.8,24.3)
4.54(2.6,7.8)
11.10 (6.8,18.0)
2.82 (1.3,6.0)
4.77 (3.2,7.2)
5.80 (2.9,11.6)
0.57 (0.2,1.4)
1.82 (0.7,4.9)
1.33 (0.7,2.5)
1.23 (0.5,3.0)
0.83 (0.4,1.8)
1.58 (0.8,3.3)
1.48 (0.6,3.4)
1.95 (0.7,5.1)
3.21 (1.1,9.1)
0.69 (0.2,2.6)
1.66 (0.5,5.1)
0.54(0.2,1.2)
0.98 (0.5,1.9)
1.02 (0.3,3.5)
1.52 (0.6,3.8)
5.45 (2.7,11.2)
3.60(2.1,6.1)
3.41 (1.6,7.1)
2.37 (1.2,4.7)
4.43 (2.4,8.1)
3.96 (1.9,8.3)
5.13 (2.3,11.6)
7.88 (3.3,18.9)
1.94(0.6,5.9)
5.45 (2.6,11.5)
1.45 (0.6,3.3)
2.63 (1.5,4.5)
2.75 (0.9,8.4)
3.66 (1.6,8.5)
12.83 (7.2,22.9)
8.52 (5.3,13.6)
7.95 (4.2,15.1)
5.98 (3.3,10.9)
10.22 (6.0,17.5)
9.08 (4.7,17.6)
11.11 (5.2,23.7)
17.27 (8.0,37.1)
4.85 (2.1,10.9)
13.83 (8.0,24.0)
3.42 (1.5,7.7)
5.93 (3.9,9.1)
6.93 (3.1,15.8)
7.49 (3.4,16.4)
25.65 (16.8,39.1)
17.16 (10.8,27.3)
16.30 (9.9,26.9)
12.94 (7.7,21.7)
20.19 (12.8,31.8)
17.25 (9.
20.78 (10.
29.60 (16.
10.10 (5.
28.96 (17.
7.03 (3.
11.75 (7.
14.83 (7.
3,32.2)
7,40.2)
1.54.5)
1,20.1)
3.48.6)
3,14.9)
5,18.4)
9.27.7)
11.35 (5.5,23.3)
36.22 (24.0,54.6)
24.78 (15.9,38.6)
23.45 (14.7,37.4)
20.22 (12.9,31.8)
28.47 (18.7,43.3)
24.42 (13.
28.22 (14.
41.15	(22.
15.90(8.
39.50 (23.
10.18 (4.
16.33 (11.
22.16	(12.
5,44.0)
8,53.7)
9.74.0)
9,28.5)
7,65.9)
7.22.1)
1,24.1)
9,38.0)
14.04 (6.3,31.4)
44.19	(28.8,67.9)
30.72 (20.3,46.6)
28.40 (17.5,46.2)
26.12 (16.5,41.4)
34.86 (23.2,52.3)
29.20	(16.1,52.9)
33.96 (18.0,63.9)
49.27 (29.2,83.1)
25.98 (14.0,48.4)
49.86	(29.3,84.8)
12.79 (5.8,28.1)
20.87	(13.5,32.3)
26.55 (14.6,48.4)
25.98 (15.7,43.1)
63.65 (40.2,100.8)
45.31 (31.0,66.3)
42.01 (26.4,66.8)
41.57 (26.3,65.7)
49.89 (34.5,72.2)
40.71 (21.5,77.0)
48.79 (29.0,82.2)
73.41 (40.7,132.5)
44.34 (20.0,98.2)
78.07 (38.7,157.4)
20.01 (9.5,42.3)
31.29 (19.6,49.9)
42.31 (25.8,69.3)
C-16

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433	Table C-9. Total shellfish usual fish consumption rate estimates, youth <21 years
434
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
Gender
2.50(1.5,4.2)
0.21 (0.1,0.4)
0.72 (0.4,1.4)
2.32 (1.3,4.2)
6.16 (3.6,10.5)
10.71 (6.4,17.8)
14.43 (8.2,25.4)
27.85 (16.2,47.8)
Female
2.11 (1.3,3.5)
0.18 (0.1,0.4)
0.58 (0.3,1.2)
1.93 (1.0,3.6)
5.27 (3.1,8.9)
9.41 (5.7,15.5)
12.77 (7.8,20.9)
24.16 (14.2,41.1)
Male
2.90(1.7,5.0)
0.25 (0.1,0.5)
0.88 (0.5,1.6)
2.74(1.5,5.0)
7.15 (4.0,12.6)
12.09 (6.7,21.8)
16.43 (8.7,31.0)
30.85 (17.0,55.9)
Age
1 to <3 yrs
1.01 (0.5,2.0)
0.10 (0.0,0.3)
0.30 (0.1,0.7)
0.92 (0.4,2.0)
2.35 (1.1,4.9)
4.17 (1.9,9.0)
6.02 (2.8,13.1)
12.49 (5.2,30.3)
3 to <6 yrs
1.87 (1.0,3.4)
0.22 (0.1,0.5)
0.74 (0.3,1.6)
2.15 (1.1,4.2)
4.76 (2.5,9.1)
7.39 (4.0,13.7)
10.02 (5.8,17.4)
16.78 (9.6,29.2)
6 to <11 yrs
1.48 (0.7,3.3)
0.13 (0.0,0.5)
0.44 (0.1,1.4)
1.41 (0.5,3.7)
3.61 (1.6,8.2)
6.25 (3.0,13.1)
9.66 (4.9,19.0)
15.89 (6.7,37.6)
11 to <16 yrs
2.19 (0.5,8.9)
0.22 (0.1,0.5)
0.69 (0.2,1.9)
2.18 (0.7,7.0)
5.30 (1.2,24.1)
9.29 (2.0,43.1)
12.25 (2.3,65.8)
19.29 (2.4,157.1)
16 to <18 yrs
3.23 (1.8,5.7)
0.42 (0.2,1.0)
1.22 (0.6,2.6)
3.79 (1.9,7.4)
7.73 (4.0,15.0)
12.55 (6.9,22.8)
17.83 (10.0,31.8)
30.00 (16.2,55.6)
18 to <21 yrs
1 k$20,000
2.44(1.4,4.3)
0.21 (0.1,0.4)
0.71 (0.4,1.4)
2.29 (1.2,4.2)
6.03 (3.4,10.8)
10.38 (5.9,18.2)
14.02 (7.5,26.3)
26.66 (14.7,48.3)
Income unknown
4.64 (1.9,11.2)
0.30 (0.1,0.8)
1.23 (0.5,2.9)
4.32 (1.7,10.7)
11.20 (4.5,27.6)
25.21 (5.7,110.9)
31.03 (9.1,105.8)
47.21 (16.8,132.8)
Income, finer detail








<$20,000
2.32 (1.4,3.8)
0.21 (0.1,0.4)
0.67 (0.3,1.4)
2.19 (1.2,4.1)
5.85 (3.5,9.8)
10.87 (6.8,17.3)
14.17 (9.0,22.4)
23.63 (14.4,38.8)
$20k-$45k
2.22 (1.3,3.7)
0.20 (0.1,0.4)
0.66 (0.4,1.2)
2.10(1.2,3.6)
5.55 (3.3,9.2)
9.41 (5.5,16.0)
12.98 (7.6,22.2)
24.02 (12.8,45.2)
$45k-$75k
2.09 (0.9,4.7)
0.18 (0.1,0.5)
0.62 (0.3,1.4)
2.04(0.9,4.6)
5.10 (2.1,12.4)
8.29 (3.1,21.9)
12.30(5.7,26.8)
20.24 (7.8,52.8)
$75k+
2.85 (1.5,5.5)
0.24 (0.1,0.5)
0.81 (0.4,1.7)
2.59 (1.2,5.5)
7.13 (3.7,13.7)
12.17 (6.0,24.6)
16.65 (7.7,35.9)
31.26 (15.0,65.2)
>$20,000
2.48 (1.2,5.3)
0.29 (0.1,0.8)
0.95 (0.4,2.4)
2.74(1.1,6.6)
6.75 (2.9,15.8)
9.80(3.9,24.7)
11.76 (4.0,34.3)
18.06 (5.8,56.4)
Inc Ref/DK
5.31 (1.9,15.0)
0.39 (0.1,1.2)
1.41 (0.5,4.0)
4.87 (1.6,14.8)
12.25 (4.1,36.5)
28.75 (5.9,139.0)
36.14 (9.4,138.6)
47.21 (17.6,126.8)
Inc missing
3.72 (1.2,11.1)
0.24 (0.1,0.9)
0.88 (0.3,3.0)
3.40 (1.1,10.4)
8.40 (3.1,22.9)
17.06 (4.7,62.2)
31.03 (3.5,272.0)
42.68 (8.1,226.0)
Race/Ethnicity








Mexican American
2.32 (1.2,4.6)
0.21 (0.1,0.5)
0.70 (0.3,1.5)
2.25 (1.2,4.4)
5.70 (3.0,10.9)
9.88 (5.4,18.0)
13.51 (6.9,26.7)
23.95 (9.8,58.4)
Other Hispanic
1.48 (0.2,13.0)
0.11 (0.0,0.7)
0.35 (0.0,3.2)
1.33 (0.1,11.9)
3.54 (0.3,43.5)
6.51 (0.6,65.6)
9.96 (1.3,75.1)
15.15 (1.5,153.1)
White
2.23 (1.2,4.0)
0.20 (0.1,0.4)
0.63 (0.3,1.3)
2.09 (1.1,3.9)
5.43 (3.0,9.9)
9.14(4.9,16.9)
12.92 (6.9,24.3)
25.16 (12.6,50.4)
Black
2.36 (1.0,5.7)
0.29 (0.1,0.8)
0.87 (0.3,2.5)
2.47 (0.9,6.5)
5.98 (2.6,13.9)
9.82 (4.5,21.4)
12.98 (5.7,29.8)
20.61 (7.4,57.1)
Other race
6.17 (2.6,14.6)
0.61 (0.2,1.7)
2.09 (0.9,5.1)
7.17 (2.6,19.6)
16.32 (6.6,40.6)
25.38 (10.2,63.1)
35.81 (12.7,100.9)
51.86 (22.1,122.0)
C-17

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435
436	Table C-9. Total shellfish usual fish consumption rate estimates, youth <21 years (continued)
437
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th 95th
97th
99th
Region








Midwest
2.22 (1.0,5.0)
0.15 (0.0,0.4)
0.51 (0.2,1.3)
1.63 (0.7,3.9)
5.09 (2.2,11.9)
10.44 (4.4,24.9)
15.75 (6.3,39.7)
29.84(10.5,84.8)
Northeast
2.29 (0.7,7.3)
0.18 (0.0,1.2)
0.61 (0.1,3.9)
2.16 (0.5,9.6)
5.53 (1.5,21.0)
9.31 (2.8,31.0)
12.47 (3.7,41.9)
26.93 (12.3,58.7)
South
2.18 (1.3,3.8)
0.26 (0.1,0.6)
0.79 (0.4,1.6)
2.36 (1.3,4.3)
5.66 (3.3,9.6)
8.64(4.7,15.8)
11.89 (6.9,20.3)
18.95 (10.6,33.8)
West
3.29 (1.6,6.7)
0.25 (0.1,0.5)
0.97 (0.5,2.0)
3.05 (1.5,6.1)
8.31 (4.0,17.4)
13.89 (6.7,28.9)
19.18 (8.7,42.1)
37.25 (14.7,94.2)
Coastal Status








Noncoastal
1.99 (1.2,3.3)
0.20(0.1,0.4)
0.63 (0.3,1.2)
2.01 (1.1,3.5)
5.01 (3.0,8.4)
8.41 (5.1,13.9)
11.71 (7.1,19.4)
19.30(11.2,33.3)
Coastal
3.31 (1.7,6.5)
0.24(0.1,0.7)
0.87 (0.3,2.2)
2.97 (1.3,6.8)
8.23 (3.9,17.2)
14.07 (6.6,29.9)
19.80 (9.6,40.9)
37.52 (19.5,72.3)
Coastal/Inland Region








Pacific
4.01 (1.7,9.7)
0.17 (0.1,0.4)
0.76 (0.4,1.6)
2.87 (1.4,5.8)
10.85 (4.3,27.6)
19.30(6.9,54.0)
29.88 (8.7,103.0)
51.88 (14.0,192.2)
Atlantic
2.58 (0.7,9.7)
0.25 (0.0,1.4)
0.82 (0.2,4.3)
2.53 (0.5,12.6)
6.55 (1.6,26.4)
10.45 (2.6,42.3)
13.12 (2.8,62.2)
28.22 (11.8,67.5)
Gulf of Mexico
3.05 (1.1,8.1)
0.38 (0.1,1.6)
1.30(0.3,4.9)
3.62 (1.1,12.0)
7.98 (2.9,21.9)
12.16 (4.8,31.1)
16.28 (6.2,43.0)
23.08 (10.3,51.5)
Great Lakes
3.93 (1.3,11.8)
0.26 (0.1,0.7)
0.87 (0.3,2.6)
3.46 (1.3,9.5)
11.17 (3.5,35.5)
18.58 (5.4,63.4)
26.13 (7.3,93.0)
40.16 (11.1,145.6)
Inland Northeast
1.66 (0.3,8.4)
0.14(0.0,1.6)
0.43 (0.0,6.1)
1.53 (0.2,13.5)
4.25 (0.8,22.9)
7.10(1.6,31.8)
9.01 (1.8,44.8)
13.39 (2.1,84.7)
Inland Midwest
1.67 (0.6,4.4)
0.12 (0.0,0.5)
0.42 (0.1,1.5)
1.33 (0.5,3.9)
3.73 (1.5,9.5)
7.17 (2.6,19.5)
11.39 (3.3,39.4)
24.02 (4.8,120.1)
Inland South
1.93 (1.2,3.1)
0.25 (0.1,0.6)
0.71 (0.4,1.4)
2.13 (1.2,3.7)
4.92 (3.0,8.0)
7.53 (4.6,12.3)
10.21 (6.3,16.6)
17.52 (10.5,29.1)
Inland West
2.70(1.2,6.2)
0.33 (0.1,0.8)
1.17 (0.4,3.3)
3.17 (1.3,8.0)
7.13 (2.9,17.5)
11.12 (4.7,26.5)
13.84(5.9,32.3)
20.50 (7.1,59.1)
C-18

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439	Table C-10. Marine fish usual fish consumption rate estimates, all ages
440





Percentiles (95% CI)




Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
10.78 (8.3,14.0)
2.36 (1.3,4.4)
7.02 (4.4,11.1)
14.80 (11.1,19.8)
25.71 (20.4,32.5)
34.12 (27.3,42.7)
40.50(31.9,51.5)
56.36 (43.8,72.5)
Gender









Female
9.92 (7.4,13.3)
2.18 (1.1,4.2)
6.59 (3.9,11.1)
13.73 (9.9,19.0)
23.52 (18.3,30.2)
31.30(24.7,39.7)
36.90(29.0,46.9)
50.88 (39.2,66.1)
Male
11.82 (9.2,15.2)
2.58 (1.4,4.6)
7.62 (5.0,11.5)
16.26 (12.2,21.7)
28.23 (22.3,35.7)
37.50(29.7,47.3)
44.46 (34.7,56.9)
62.79 (48.3,81.7)
Age
1 to <3 yrs
3.27 (1.8,5.8)
0.45 (0.2,0.9)
1.51 (0.7,3.4)
3.76 (2.1,6.9)
8.06 (4.7,13.8)
13.33 (6.6,26.8)
16.74 (9.1,30.8)
25.29 (14.3,44.6)
3 to <6 yrs
4.47 (2.3,8.9)
0.80 (0.3,2.4)
2.55 (0.9,7.2)
5.83 (2.8,12.1)
11.13 (5.7,21.8)
15.55 (8.5,28.6)
18.36 (11.2,30.1)
25.82 (16.4,40.7)
6 to <11 yrs
6.10 (3.0,12.3)
0.95 (0.4,2.0)
3.04(1.5,6.3)
7.90 (3.9,16.1)
16.04 (7.2,35.9)
22.28
10.6,46.9)
27.50(12.9,58.5)
38.96 (18.8,80.7)
11 to <16 yrs
5.22 (3.3,8.3)
0.89 (0.4,1.9)
2.65 (1.3,5.3)
6.75 (4.0,11.4)
12.96 (8.0,21.0)
18.85
11.6,30.7)
23.22 (14.2,38.1)
34.83 (20.5,59.3)
16 to <18 yrs
6.85 (4.4,10.7)
1.04(0.6,1.9)
3.37 (1.8,6.1)
9.45 (5.3,17.0)
17.30 (11.5,26.0)
23.73
16.4,34.4)
29.32 (19.9,43.2)
39.02 (25.8,59.1)
18 to <21 yrs
10.83 (5.7,20.7)
1.59 (0.8,3.1)
4.81 (2.7,8.5)
13.23 (7.4,23.6)
28.61 (14.1,58.2)
39.99
20.7,77.4)
47.22 (25.3,88.1)
84.81 (28.2,254.7)
21 to <35 yrs
10.52 (7.6,14.6)
2.72 (1.2,6.1)
7.26 (3.9,13.5)
14.09 (9.9,20.0)
23.75 (18.4,30.6)
32.01
25.2,40.6)
37.98 (29.7,48.5)
52.46 (38.2,72.0)
35 to <50 yrs
11.78 (9.1,15.3)
4.08 (2.7,6.2)
8.98 (6.6,12.3)
16.22 (12.6,20.8)
25.71 (18.8,35.1)
32.97
22.4,48.6)
38.15 (24.3,59.9)
49.80 (28.9,85.8)
50 to <65 yrs
17.25 (10.8,27.6)
6.18 (3.1,12.3)
13.10(7.4,23.2)
23.73 (14.7,38.4)
37.49 (24.2,58.2)
48.33
30.8,75.9)
56.36 (35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
11.69 (8.5,16.1)
3.69 (2.3,6.0)
8.43 (5.8,12.2)
16.32 (12.2,21.8)
26.30 (18.6,37.2)
34.06
23.1,50.3)
39.34(25.0,61.9)
51.11 (30.3,86.1)
Income









<$20,000
8.48 (6.6,10.9)
1.54(1.0,2.5)
4.90(3.4,7.0)
11.39 (8.7,15.0)
20.72 (16.0,26.8)
28.61
22.3,36.6)
34.84 (27.0,44.9)
49.32 (36.8,66.2)
>$20,000
11.18 (8.5,14.7)
2.57 (1.3,5.0)
7.43 (4.6,11.9)
15.37 (11.4,20.6)
26.28 (20.8,33.2)
34.93
27.7,44.0)
41.26 (32.2,52.9)
57.29 (44.5,73.8)
Income unknown
12.25 (6.4,23.4)
2.70(0.8,9.3)
8.17 (2.9,22.9)
17.87 (7.8,41.2)
29.36 (16.6,52.0)
37.87
24.4,58.8)
42.94(30.2,61.0)
52.82 (34.7,80.3)
Income, finer detail









<$20,000
8.48 (6.6,10.9)
1.54(1.0,2.5)
4.90(3.4,7.0)
11.39 (8.7,15.0)
20.72 (16.0,26.8)
28.61
22.3,36.6)
34.84 (27.0,44.9)
49.32 (36.8,66.2)
$20k-$45k
9.54 (6.8,13.5)
2.02 (1.0,3.9)
6.01 (3.6,10.1)
12.81 (8.9,18.4)
22.59 (16.9,30.2)
30.69
23.1,40.7)
36.56 (27.7,48.3)
51.11 (38.5,67.9)
$45k-$75k
10.75 (7.9,14.6)
2.43 (1.3,4.5)
7.05 (4.4,11.2)
14.69 (10.5,20.6)
25.09 (18.5,34.0)
33.64
24.9,45.5)
40.17 (29.2,55.3)
58.40 (43.0,79.2)
$75k+
12.85 (9.9,16.6)
3.40(1.6,7.1)
9.17 (5.8,14.5)
18.09 (13.6,24.1)
29.62 (23.5,37.4)
38.79
30.6,49.2)
45.24(35.5,57.7)
59.26 (44.5,78.9)
>$20,000
10.67 (6.5,17.6)
2.83 (1.2,6.4)
7.29 (3.8,14.1)
14.40 (8.7,23.9)
24.55 (15.5,38.9)
31.55
19.8,50.3)
36.92 (22.9,59.5)
55.21 (31.8,96.0)
Inc Ref/DK
12.61 (6.2,25.8)
2.93 (0.8,10.5)
8.82 (2.8,27.4)
18.35 (7.7,43.7)
29.38 (16.3,53.0)
37.74
23.2,61.5)
40.43 (27.9,58.7)
51.51 (31.6,84.1)
Inc missing
11.56 (5.1,26.0)
2.24(0.6,9.1)
7.10(2.3,22.3)
16.39 (6.1,44.3)
28.83 (12.7,65.2)
38.00
19.2,75.1)
46.58 (23.0,94.4)
55.70(30.1,103.1)
Race/Ethnicity









Mexican American
8.41 (5.7,12.4)
1.48 (0.9,2.6)
5.05 (2.8,9.1)
11.62 (7.4,18.2)
20.56 (14.3,29.6)
27.87
19.7,39.3)
33.63 (24.1,47.0)
46.60 (33.9,64.0)
Other Hispanic
8.24 (5.9,11.5)
1.43 (0.9,2.4)
5.07 (3.4,7.6)
11.53 (8.2,16.2)
20.10 (14.4,28.0)
26.82
18.1,39.8)
32.48 (21.6,49.0)
45.65 (28.1,74.2)
White
10.93 (8.3,14.4)
2.54(1.2,5.2)
7.25 (4.6,11.5)
14.87 (11.2,19.7)
25.76 (20.1,33.0)
34.19
26.5,44.1)
40.65 (31.0,53.3)
56.75 (43.0,74.8)
Black
9.89 (7.5,13.1)
2.19 (1.4,3.5)
6.43 (4.2,9.9)
13.68 (9.8,19.0)
24.05 (17.8,32.5)
31.81
24.4,41.4)
36.84(29.1,46.7)
49.24 (36.8,65.8)
Other race
16.76 (12.0,23.3)
4.61 (2.1,10.1)
13.07 (6.3,26.9)
23.20 (16.7,32.3)
36.99 (29.6,46.3)
46.09
35.9,59.1)
57.27 (43.1,76.2)
79.75 (54.2,117.4)
441
C-19

-------
Table C-10. Marine fish usual fish consumption rate estimates, all ages (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
8.19 (5.6,12.1)
13.97 (10.6,18.3)
10.04 (7.7,13.1)
12.47 (9.1,17.1)
10.42 (6.9,15.6)
11.37 (8.8,14.6)
1.72 (0.8,3.8)
3.04	(1.8,5.0)
2.26 (1.3,4.0)
3.05	(1.5,6.1)
2.25 (1.1,4.7)
2.54 (1.6,3.9)
5.22 (2.9,9.5)
9.25 (6.8,12.6)
6.69 (4.2,10.6)
8.86 (5.3,14.7)
6.72 (3.7,12.2)
7.56 (5.6,10.1)
10.98 (7.3,16.6)
19.55	(15.0,25.5)
13.73 (10.1,18.6)
17.56	(12.4,24.9)
14.10 (9.2,21.5)
15.97 (12.4,20.6)
19.57 (13.5,28.3)
32.96 (25.0,43.5)
23.36 (18.4,29.7)
29.29 (21.9,39.2)
24.55 (17.5,34.4)
26.95 (20.1,36.1)
26.68 (18.9,37.6)
42.70 (32.1,56.8)
31.29 (24.3,40.2)
37.49 (29.0,48.5)
33.60 (23.8,47.4)
35.18 (24.8,49.8)
31.70(22.6,44.5)
51.00(38.3,67.9)
37.35 (28.7,48.6)
43.76 (33.9,56.5)
39.86 (28.8,55.2)
41.40(28.1,60.9)
44.64 (31.7,62.9)
74.26 (48.9,112.7)
51.36 (37.4,70.4)
57.17 (43.2,75.7)
56.75 (38.8,83.1)
55.21 (35.8,85.1)
Pacific
11.78
(9.2,15.1)
2.52
(1.6,3.9)
8.31
(5.7,12.0)
17.05 (13.2,22.1)
28.30
(22.2,36.0)
35.86
(26.0,49.4)
41.82
(29.1,60.1)
51.53 (28.2,94.1)
Atlantic
12.29
(8.0,18.9)
3.26
(2.1,5.1)
8.60
(5.5,13.3)
17.29 (11.2,26.6)
28.18
(17.4,45.5)
36.60
(22.5,59.6)
42.39
(25.0,72.0)
56.42 (33.1,96.2)
Gulf of Mexico
10.76
(6.7,17.3)
2.21
(0.9,5.2)
6.58
(3.0,14.4)
14.57 (7.7,27.7)
26.05
(15.9,42.6)
34.37
(23.2,50.9)
41.85
(27.7,63.2)
62.44(37.7,103.5)
Great Lakes
8.45
(5.4,13.3)
1.56
(1.0,2.5)
4.78 (2.9,7.8)
10.78 (5.9,19.8)
21.36
(13.5,33.8)
29.67
(18.9,46.5)
35.14
(21.1,58.7)
52.95 (37.2,75.4)
Inland Northeast
14.56
(9.1,23.3)
2.58
(1.6,4.2)
9.19
(5.7,14.8)
20.17 (12.9,31.5)
35.84
(21.3,60.4)
45.78
(29.0,72.2)
56.76
(32.9,97.9)
81.36 (39.9,165.8)
Inland Midwest
8.10
(4.4,15.0)
1.79
(0.6,5.0)
5.34
(2.4,11.9)
11.00(5.9,20.6)
19.21
(10.7,34.4)
25.82
(14.7,45.3)
30.27
(18.3,50.2)
41.19 (25.7,65.9)
Inland South
9.16
(6.2,13.6)
2.00
(1.0,3.9)
6.18
(3.3,11.6)
12.46 (8.2,18.9)
21.08
(15.4,28.8)
28.43
(20.8,38.9)
34.21
(25.0,46.8)
46.00 (33.3,63.5)
Inland West
13.15
(7.3,23.7)
3.62 (1.2,10.8)
9.45
(4.5,19.9)
17.94 (10.3,31.2)
30.20
(17.6,51.7)
39.37
(23.2,66.8)
46.84
(27.4,80.2)
60.72 (37.7,97.8)
C-20

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445	Table C-ll. Marine fish usual fish consumption rate estimates, adults >21 years
446
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
12.66 (10.0,16.1)
3.93 (2.2,6.9)
9.15 (6.2,13.4)
17.36 (13.4,22.6)
28.32
(22.7,35.4)
36.93
(29.5,46.3)
43.24
(33.8,55.3)
59.03 (45.4,76.7)
Gender











Female
11.59 (8.8,15.3)
3.59 (1.9,6.9)
8.44(5.4,13.2)
15.83 (11.9,21.0)
26.03
(20.4,33.2)
33.80
(26.7,42.7)
39.54
30.8,50.7)
53.12 (40.8,69.1)
Male
14.03 (11.1,17.8)
4.43 (2.7,7.2)
10.20(7.2,14.4)
19.21 (15.0,24.7)
31.36
(24.9,39.5)
40.57
(31.6,52.1)
47.92
36.9,62.2)
64.05 (47.7,86.0)
Age
21 to <35 yrs
10.52 (7.6,14.6)
2.72 (1.2,6.1)
7.26 (3.9,13.5)
14.09 (9.9,20.0)
23.75
(18.4,30.6)
32.01
(25.2,40.6)
37.98
29.7,48.5)
52.46 (38.2,72.0)
35 to <50 yrs
11.78 (9.1,15.3)
4.08 (2.7,6.2)
8.98 (6.6,12.3)
16.22 (12.6,20.8)
25.71
(18.8,35.1)
32.97
(22.4,48.6)
38.15
24.3,59.9)
49.80 (28.9,85.8)
50 to <65 yrs
17.25 (10.8,27.6)
6.18 (3.1,12.3)
13.10(7.4,23.2)
23.73 (14.7,38.4)
37.49
(24.2,58.2)
48.33
(30.8,75.9)
56.36
35.8,88.8)
70.75 (48.8,102.6)
65+ yrs
11.69 (8.5,16.1)
3.69 (2.3,6.0)
8.43 (5.8,12.2)
16.32 (12.2,21.8)
26.30
(18.6,37.2)
34.06
(23.1,50.3)
39.34
25.0,61.9)
51.11 (30.3,86.1)
WCA (13-49 years)
9.52 (7.5,12.1)
2.30(1.2,4.3)
6.69 (4.0,11.2)
13.24 (10.0,17.6)
21.96
(17.8,27.1)
29.09
(23.4,36.2)
34.16
26.6,43.9)
44.94 (31.7,63.7)
Income











<$20,000
10.13 (7.9,13.0)
2.38 (1.5,3.9)
6.64(4.7,9.4)
13.68 (10.4,17.9)
23.47
(18.4,29.9)
31.73
(24.8,40.5)
37.51
28.5,49.3)
52.93 (38.5,72.8)
>$20,000
13.07 (10.2,16.7)
4.27 (2.4,7.5)
9.59 (6.5,14.1)
17.85 (13.8,23.1)
28.95
(23.1,36.3)
37.61
(29.7,47.6)
44.17
34.5,56.6)
59.38 (45.5,77.5)
Income unknown
14.05 (7.7,25.5)
4.33 (1.2,16.2)
10.70 (4.0,28.3)
20.18 (9.9,41.2)
30.95
(19.8,48.4)
39.90
(26.7,59.5)
44.96
31.9,63.5)
64.21 (38.0,108.4)
Income, finer detail











<$20,000
10.13 (7.9,13.0)
2.38 (1.5,3.9)
6.64(4.7,9.4)
13.68 (10.4,17.9)
23.47
(18.4,29.9)
31.73
(24.8,40.5)
37.51
28.5,49.3)
52.93 (38.5,72.8)
$20k-$45k
10.99 (8.2,14.7)
3.28 (1.7,6.3)
7.78 (4.9,12.3)
14.83 (10.9,20.2)
24.76
(19.1,32.2)
33.08
(25.3,43.2)
38.41
29.3,50.3)
51.69 (38.4,69.6)
$45k-$75k
12.49 (9.3,16.8)
3.87 (2.3,6.4)
8.96 (6.0,13.4)
16.95 (12.4,23.3)
27.66
(20.6,37.2)
36.28
(27.1,48.5)
43.17
31.7,58.7)
60.72 (44.6,82.7)
$75k+
15.27 (12.1,19.3)
5.88 (3.3,10.6)
11.61 (8.5,15.9)
20.82 (16.4,26.4)
32.66
(26.0,41.0)
41.76
(32.7,53.4)
48.14
37.0,62.6)
61.76 (45.1,84.6)
>$20,000
12.18 (7.5,19.8)
3.93 (1.9,8.2)
8.83 (4.9,15.9)
16.61 (10.1,27.3)
27.18
(17.0,43.4)
33.96
(21.2,54.3)
41.21
25.6,66.2)
59.38 (33.0,106.7)
Inc Ref/DK
14.61 (7.4,29.0)
4.62 (1.2,17.8)
11.39 (4.0,32.7)
21.06 (9.5,46.7)
31.40
(18.9,52.2)
39.90
(26.0,61.2)
43.96
30.4,63.6)
66.21 (34.0,129.1)
Inc missing
12.80 (6.2,26.5)
3.72 (0.8,18.3)
8.51 (3.4,21.2)
17.84 (7.8,40.5)
29.85
(14.8,60.2)
39.09
(20.1,75.9)
46.58
24.6,88.1)
60.92 (33.1,112.2)
Race/Ethnicity











Mexican American
11.01 (7.1,17.0)
2.95 (1.6,5.6)
8.05 (4.3,15.1)
15.34 (9.2,25.5)
24.60
(16.6,36.5)
32.61
(22.0,48.3)
37.82
26.9,53.2)
51.54 (36.7,72.4)
Other Hispanic
10.88 (7.9,15.1)
3.35 (1.7,6.5)
7.80(5.0,12.1)
14.71 (10.5,20.6)
23.59
(16.7,33.3)
31.29
(21.4,45.8)
38.13
26.3,55.4)
49.20 (28.2,85.9)
White
12.40 (9.7,15.8)
3.89 (2.3,6.6)
8.96 (6.3,12.8)
16.94 (13.2,21.8)
27.72
(21.6,35.6)
36.21
(27.7,47.3)
42.70
32.2,56.6)
58.28 (43.9,77.3)
Black
12.41 (8.8,17.4)
3.99 (1.9,8.2)
9.10(5.4,15.3)
17.17 (11.7,25.3)
27.88
(20.3,38.2)
35.39
(27.5,45.5)
40.86
31.8,52.5)
52.99 (38.7,72.6)
Other race
19.88 (14.7,26.8)
7.38 (4.2,13.0)
16.13 (9.8,26.7)
27.20 (19.8,37.3)
40.91
(32.3,51.9)
52.09
(39.7,68.3)
62.58
45.3,86.5)
83.12 (55.7,124.1)
C-21

-------
Table C-ll. Marine fish usual fish consumption rate estimates, adults >21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
9.78 (6.6,14.5)
16.09 (12.6,20.5)
11.82 (9.2,15.3)
14.67 (10.9,19.7)
12.17 (8.3,17.8)
13.43 (10.1,17.8)
2.92 (1.4,5.9)
5.13 (3.4,7.8)
3.78 (2.1,6.8)
5.35 (2.9,9.8)
3.72 (1.8,7.9)
4.30(3.0,6.2)
6.80(4.0,11.5)
12.20 (9.2,16.2)
8.60(5.7,12.9)
11.28 (7.5,17.0)
8.66 (5.1,14.7)
9.98 (7.5,13.3)
13.22 (8.6,20.4)
22.32 (17.4,28.6)
16.07 (12.1,21.3)
19.94 (15.0,26.6)
16.51 (11.2,24.4)
18.64 (14.2,24.5)
22.25 (15.2,32.7)
35.79 (27.7,46.2)
26.22 (20.6,33.4)
32.08 (24.2,42.4)
27.30 (19.7,37.8)
29.85 (21.8,40.9)
29.10(20.6,41.1)
44.96 (34.0,59.5)
34.13 (26.5,43.9)
40.59 (31.2,52.8)
35.98 (26.3,49.2)
38.38 (27.0,54.6)
33.97 (23.7,48.7)
52.36 (39.4,69.6)
39.92 (29.9,53.3)
47.22 (36.3,61.4)
42.54(31.1,58.2)
44.17 (29.2,66.7)
49.65 (34.1,72.3)
70.86 (53.2,94.5)
54.34 (38.9,75.9)
60.20 (45.0,80.6)
58.94 (41.4,84.0)
59.25 (39.9,88.0)
Pacific
13.89 (10.6,18.2)
4.84
(3.1,7.6)
10.68
cq
i
r-f
19.09 (14.3,25.5)
30.89
(23.6,40.4)
39.14
(29.2,52.5)
43.79
(29.3,65.4)
54.14 (30.4,96.3)
Atlantic
14.55 (9.2,23.0)
5.29
(3.2,8.7)
11.16
(7.1,17.4)
20.25 (13.2,31.1)
30.95
(18.7,51.2)
39.70
(24.0,65.5)
45.57
(26.6,78.1)
60.79 (36.5,101.3)
Gulf of Mexico
12.12 (7.7,19.0)
3.32
(1.7,6.3)
8.16
(4.1,16.3)
16.51 (9.1,30.0)
27.87
(17.4,44.5)
37.47
(23.0,61.0)
44.21
(27.6,70.9)
60.92 (33.1,112.0)
Great Lakes
10.38 (6.6,16.3)
2.61
(1.3,5.1)
6.73
(3.9,11.7)
13.43 (7.6,23.7)
24.52
(16.1,37.3)
32.64
(20.6,51.8)
39.20
(25.1,61.2)
62.01 (41.3,93.2)
Inland Northeast
16.53 (10.9,25.1)
4.44
(2.5,8.0)
12.31
(7.5,20.3)
22.83 (15.3,34.0)
37.42
(24.8,56.4)
48.31
(31.8,73.4)
56.54
(36.9,86.5)
76.33 (46.9,124.2)
Inland Midwest
9.61 (5.2,17.8)
2.98
(1.2,7.5)
6.81
(3.3,13.9)
13.14 (6.8,25.6)
21.41
(12.0,38.2)
27.96
(16.4,47.7)
33.06
(19.6,55.8)
46.18 (26.1,81.8)
Inland South
10.85 (7.3,16.2)
3.49
(1.5,8.1)
8.01
(4.4,14.5)
14.65 (9.7,22.1)
23.34
(17.3,31.4)
31.14
(22.8,42.4)
36.74
(27.2,49.5)
49.10 (34.8,69.2)
Inland West
15.51 (8.8,27.2)
5.86 (2.4,14.3)
11.76
(6.3,21.8)
20.64 (12.4,34.2)
33.58
(19.6,57.5)
42.99
(25.2,73.4)
51.78
(28.2,95.2)
64.07 (39.7,103.3)
C-22

-------
451	Table C-12. Marine fish usual fish consumption rate estimates, youth <21 years
452
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Youth
Gender
6.11 (3.8,9.8)
0.90(0.4,1.8)
2.80(1.5,5.3)
7.39 (4.4,12.3)
15.45 (9.8,24.4)
22.53 (15.1,33.6)
29.11 (19.0,44.6)
42.49 (29.4,61.5)
Female
5.35 (3.4,8.5)
0.80(0.4,1.6)
2.51 (1.3,5.0)
6.68 (3.9,11.5)
13.87 (8.6,22.2)
19.97 (13.4,29.9)
25.70 (16.6,39.7)
37.23 (25.6,54.2)
Male
6.90 (4.2,11.4)
1.03 (0.5,2.2)
3.20(1.6,6.3)
8.14(5.0,13.1)
16.96 (10.9,26.4)
25.25 (16.5,38.6)
31.92 (21.0,48.6)
48.17 (31.0,74.7)
Age
1 to <3 yrs
3.27 (1.8,5.8)
0.45 (0.2,0.9)
1.51 (0.7,3.4)
3.76 (2.1,6.9)
8.06 (4.7,13.8)
13.33 (6.6,26.8)
16.74 (9.1,30.8)
25.29 (14.3,44.6)
3 to <6 yrs
4.47 (2.3,8.9)
0.80(0.3,2.4)
2.55 (0.9,7.2)
5.83 (2.8,12.1)
11.13 (5.7,21.8)
15.55 (8.5,28.6)
18.36 (11.2,30.1)
25.82 (16.4,40.7)
6 to <11 yrs
6.10 (3.0,12.3)
0.95 (0.4,2.0)
3.04(1.5,6.3)
7.90(3.9,16.1)
16.04 (7.2,35.9)
22.28 (10.6,46.9)
27.50 (12.9,58.5)
38.96 (18.8,80.7)
11 to <16 yrs
5.22 (3.3,8.3)
0.89 (0.4,1.9)
2.65 (1.3,5.3)
6.75 (4.0,11.4)
12.96 (8.0,21.0)
18.85 (11.6,30.7)
23.22 (14.2,38.1)
34.83 (20.5,59.3)
16 to <18 yrs
6.85 (4.4,10.7)
1.04 (0.6,1.9)
3.37 (1.8,6.1)
9.45 (5.3,17.0)
17.30 (11.5,26.0)
23.73 (16.4,34.4)
29.32 (19.9,43.2)
39.02 (25.8,59.1)
18 to <21 yrs
1 n n ma
10.83 (5.7,20.7)
1.59 (0.8,3.1)
4.81 (2.7,8.5)
13.23 (7.4,23.6)
28.61 (14.1,58.2)
39.99 (20.7,77.4)
47.22 (25.3,88.1)
84.81 (28.2,254.7)
income
<$20,000
5.06 (3.6,7.1)
0.81 (0.5,1.4)
2.42 (1.6,3.6)
6.13 (4.3,8.7)
12.73 (8.9,18.2)
18.69 (12.5,28.0)
24.07 (15.9,36.6)
36.10 (22.9,56.9)
>$20,000
6.26 (3.6,10.8)
0.92 (0.4,2.0)
2.86 (1.4,5.8)
7.60(4.2,13.8)
15.83 (9.3,27.1)
22.61 (14.9,34.3)
29.49 (18.6,46.8)
43.34 (29.3,64.2)
Income unknown
8.14 (3.0,22.1)
1.10(0.4,3.0)
3.92 (1.1,13.8)
10.53 (2.8,39.2)
23.34 (5.8,93.8)
29.89 (12.3,72.9)
34.46 (17.9,66.3)
47.22 (24.5,91.2)
Income, finer detail








<$20,000
5.06 (3.6,7.1)
0.81 (0.5,1.4)
2.42 (1.6,3.6)
6.13 (4.3,8.7)
12.73 (8.9,18.2)
18.69 (12.5,28.0)
24.07 (15.9,36.6)
36.10 (22.9,56.9)
$20k-$45k
5.90 (2.8,12.6)
0.81 (0.4,1.6)
2.51 (1.2,5.1)
6.66 (3.5,12.8)
14.51 (7.3,28.8)
21.39 (11.4,40.0)
26.74 (15.2,47.1)
42.40 (21.8,82.5)
$45k-$75k
5.89 (3.7,9.5)
0.79 (0.4,1.5)
2.64(1.3,5.2)
7.03 (4.1,12.0)
14.70 (9.2,23.5)
21.00 (13.3,33.1)
29.11 (17.6,48.2)
43.85 (25.0,76.9)
$75k+
6.82 (4.0,11.7)
1.10(0.4,3.0)
3.35 (1.5,7.6)
8.51 (4.7,15.3)
17.51 (10.0,30.8)
24.44 (16.0,37.3)
31.59 (19.8,50.4)
43.38 (29.8,63.2)
>$20,000
5.79 (3.4,10.0)
1.28 (0.4,4.4)
3.35 (1.7,6.6)
7.75 (4.0,15.1)
14.19 (7.5,27.0)
19.99 (11.1,36.0)
23.25 (11.7,46.1)
31.07 (11.3,85.3)
Inc Ref/DK
7.17 (2.3,22.2)
1.03 (0.4,2.6)
3.59 (1.1,12.0)
9.68 (2.2,43.1)
20.08 (4.4,91.4)
26.06 (8.0,85.3)
29.32 (12.2,70.6)
38.01 (18.4,78.5)
Inc missing
9.48 (2.7,33.4)
1.15 (0.3,4.5)
4.50(0.8,25.7)
11.88 (2.7,52.2)
27.99 (5.4,146.3)
34.11 (11.2,104.3)
46.45 (13.0,165.8)
51.05 (18.7,139.4)
Race/Ethnicity








Mexican American
4.41 (3.1,6.2)
0.68 (0.4,1.1)
2.14(1.3,3.6)
5.45 (3.7,8.1)
11.37 (7.9,16.4)
16.89 (11.6,24.6)
20.45 (14.1,29.6)
30.90 (20.6,46.3)
Other Hispanic
3.44(1.4,8.4)
0.50(0.2,1.3)
1.63 (0.7,3.6)
4.65 (2.4,9.0)
9.23 (4.2,20.1)
12.90(5.1,32.6)
14.85 (4.4,50.6)
21.56 (5.5,85.2)
White
6.62 (3.2,13.9)
0.94(0.4,2.5)
2.93 (1.1,7.6)
7.80(3.7,16.6)
16.49 (8.4,32.3)
24.62 (13.1,46.2)
31.92 (16.5,61.9)
47.22 (26.3,84.8)
Black
4.85 (3.3,7.2)
0.97 (0.6,1.6)
2.80(1.9,4.2)
6.37 (4.3,9.5)
11.90 (8.0,17.7)
16.09 (9.7,26.8)
20.06 (12.2,32.8)
29.33 (17.5,49.1)
Other race
10.10 (6.3,16.2)
1.89 (0.6,5.6)
5.89 (2.5,13.7)
15.18 (6.1,37.7)
25.10 (15.7,40.1)
32.35 (23.4,44.8)
36.26 (22.1,59.6)
46.27 (20.4,105.0)
C-23

-------
Table C-12. Marine fish usual fish consumption rate estimates, youth <21 years (continued)
Percentiles (95% CI)
Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region
Midwest
Northeast
South
West
Coastal Status
Noncoastal
Coastal
Coastal/Inland Region
4.15 (2.9,5.9)
8.44	(3.7,19.2)
5.48 (3.6,8.4)
7.45	(3.6,15.4)
6.09 (3.2,11.4)
6.15 (4.4,8.5)
0.71 (0.3,1.8)
1.10 (0.6,2.0)
0.87 (0.5,1.5)
1.19 (0.4,3.5)
0.89 (0.4,1.8)
0.93 (0.4,2.0)
2.06 (1.0,4.4)
3.60(2.1,6.3)
2.59 (1.6,4.3)
3.65 (1.3,10.0)
2.78 (1.4,5.7)
2.82 (1.6,4.9)
5.37 (3.2,9.1)
8.79 (6.0,13.0)
6.91 (4.3,11.2)
9.86 (3.8,25.5)
7.32 (3.9,13.6)
7.53 (5.0,11.3)
10.46 (7.4,14.8)
19.92 (10.3,38.4)
14.01 (8.9,21.9)
19.83 (8.7,45.3)
14.94 (8.5,26.4)
16.09 (11.3,22.8)
14.95 (9.6,23.3)
33.53 (11.8,95.3)
19.76 (13.3,29.4)
27.91 (13.6,57.3)
21.68 (12.8,36.8)
23.61 (16.9,32.9)
18.48 (10.6,32.4)
43.34 (13.8,136.3)
24.26 (16.6,35.5)
32.79 (18.3,58.7)
28.92 (15.1,55.5)
29.33 (21.2,40.6)
26.84 (12.4,58.1)
87.28 (12.2,626.4)
37.58 (24.8,57.0)
43.16 (26.5,70.2)
43.38 (23.2,81.1)
39.47 (23.7,65.6)
Pacific
6.30(4.2,9.6)
0.74
o
k
V*
In
2.54(1.3,4.9)
7.70
(3.8,15.5)
18.48 (9.1,37.5)
26.74(15.9,44.9)
32.35 (21.1,49.5)
42.43 (22.5,80.0)
Atlantic
6.18 (4.1,9.3)
1.09
(0.6,2.1)
3.34(1.9,6.0)
8.02
(5.1,12.7)
15.51 (10.4,23.1)
22.11 (14.7,33.2)
26.38 (17.5,39.7)
36.93 (24.2,56.4)
Gulf of Mexico
7.74 (2.8,21.0)
1.15
(0.3,4.7)
3.26 (1.0,10.6)
9.75
(2.8,33.7)
20.32 (6.8,60.9)
28.10(11.7,67.7)
35.32 (15.4,80.8)
66.18 (20.6,212.9)
Great Lakes
4.17 (1.7,10.0)
0.81
(0.3,2.3)
2.02 (1.2,3.4)
4.72
(2.1,10.4)
10.19 (3.2,32.6)
15.32 (4.1,56.7)
21.14 (6.9,65.1)
30.70 (8.9,105.9)
Inland Northeast
9.33 (3.1,27.7)
0.97
(0.6,1.6)
3.09 (1.9,5.1)
8.51
(5.6,13.0)
21.45 (8.9,51.8)
41.45 (8.4,204.6)
66.81 (6.9,647.9)
97.40 (9.6,984.9)
Inland Midwest
4.15 (2.3,7.5)
0.70
(0.2,1.9)
2.11 (0.8,5.9)
5.52
(2.5,12.3)
10.57 (6.0,18.7)
14.74 (9.3,23.5)
18.10(11.8,27.7)
25.04 (16.9,37.0)
Inland South
4.87 (3.0,8.0)
0.78
(0.4,1.4)
2.33 (1.3,4.1)
6.30
(3.6,11.1)
12.42 (7.4,20.9)
17.62 (10.7,28.9)
21.76 (13.4,35.4)
34.09 (19.9,58.5)
Inland West
8.40 (2.8,25.5)
1.71
(0.3,8.4)
4.76 (1.1,20.4)
11.27
(3.4,37.7)
20.58 (7.3,58.3)
28.92 (10.3,81.4)
34.19 (13.1,89.4)
45.61 (20.5,101.2)
C-24

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457	Table C-13. Freshwater fish usual fish consumption rate estimates, all ages
458
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Total
1.66 (1.0,2.7)
0.12 (0.0,0.6)
0.45 (0.1,1.5)
1.46 (0.7,3.1)
3.83 (2.3,6.4)
6.70(4.2,10.7)
9.59 (6.1,15.2)
17.89 (10.5,30.4)
Ucfiacl
Female
1.27 (0.7,2.2)
0.10
0.0,0.5)
0.36 (0.1,1.1)
1.16 (0.6,2.3)
2.99 (1.8,5.1)
5.13 (2.8,9.4)
7.29 (3.8,14.2)
13.85 (6.2,30.8)
Male
2.13 (1.1,3.9)
0.18
0.0,1.0)
0.60 (0.2,2.2)
1.92 (0.8,4.8)
4.94(2.6,9.4)
8.50(4.9,14.6)
12.15 (7.2,20.5)
22.16 (13.6,36.0)
Age
1 to <3 yrs
0.81 (0.4,1.6)
0.04
0.0,0.5)
0.15 (0.0,0.8)
0.54(0.2,1.6)
1.79 (0.7,4.3)
3.47 (1.6,7.4)
5.33 (2.5,11.3)
10.68 (5.3,21.6)
3 to <6 yrs
0.79 (0.3,1.9)
0.02
0.0,0.2)
0.16 (0.0,1.5)
0.66 (0.1,3.4)
1.74(0.7,4.2)
3.32 (1.5,7.5)
4.87 (2.2,11.0)
9.73 (3.5,27.2)
6 to <11 yrs
0.83 (0.4,1.6)
0.07
0.0,0.5)
0.24 (0.1,1.0)
0.76 (0.3,2.1)
2.01 (1.0,4.2)
3.46 (1.7,7.0)
4.99 (2.3,10.7)
8.61 (3.2,23.3)
11 to <16 yrs
0.97 (0.4,2.1)
0.05
0.0,0.3)
0.21 (0.0,1.0)
0.74(0.2,2.2)
2.31 (0.9,5.8)
4.17 (1.9,9.3)
6.08 (2.8,13.1)
12.97 (5.9,28.5)
16 to <18 yrs
0.64(0.1,3.3)
0.03
0.0,0.3)
0.10 (0.0,1.1)
0.38 (0.0,3.7)
1.23 (0.2,8.9)
2.72 (0.6,12.3)
4.23 (1.0,18.1)
10.17 (2.8,36.3)
18 to <21 yrs
0.78 (0.3,2.2)
0.02
0.0,0.1)
0.08 (0.0,0.2)
0.38 (0.1,1.4)
1.39 (0.3,5.5)
2.93 (0.8,10.4)
4.83 (1.6,14.8)
11.99 (4.4,32.7)
21 to <35 yrs
1.54(0.8,3.1)
0.17
0.0,1.4)
0.52 (0.1,2.6)
1.45 (0.5,4.3)
3.54(1.6,7.6)
6.03 (3.0,12.0)
8.22 (4.4,15.4)
15.38 (7.7,30.5)
35 to <50 yrs
1.77 (1.1,3.0)
0.15
0.0,0.6)
0.47 (0.2,1.3)
1.46 (0.7,2.9)
3.93 (2.2,6.9)
7.34(4.2,12.9)
10.46 (5.9,18.4)
19.85 (10.2,38.7)
50 to <65 yrs
2.93 (1.4,6.1)
0.35
0.1,2.2)
1.09 (0.3,4.3)
2.99 (1.1,8.0)
6.74(3.4,13.2)
11.00 (6.0,20.1)
14.36 (8.1,25.5)
27.06 (15.0,48.7)
65+ yrs
1.92 (1.0,3.8)
0.28
0.0,1.6)
0.74 (0.3,2.0)
1.93 (0.9,4.0)
4.34(1.9,10.1)
6.86 (2.6,17.9)
9.64(3.8,24.3)
18.68 (8.2,42.7)
Income
<$20,000
1.98 (1.0,3.9)
0.15
0.0,0.9)
0.54 (0.1,2.2)
1.78 (0.7,4.8)
4.68 (2.3,9.3)
8.07 (4.4,14.7)
11.40 (6.5,19.8)
20.23 (11.8,34.5)
>$20,000
1.59 (1.0,2.6)
0.12
0.0,0.6)
0.44 (0.1,1.3)
1.41 (0.7,2.9)
3.66 (2.2,6.1)
6.35 (3.9,10.4)
9.06 (5.5,15.0)
17.32 (9.7,31.0)
Income unknown
1.80(0.6,5.1)
0.14
0.0,1.5)
0.50 (0.1,3.2)
1.63 (0.4,7.3)
4.28 (1.3,13.9)
7.82 (2.5,24.0)
12.32 (3.5,43.5)
19.87 (8.1,48.6)
Income, finer detail









<$20,000
1.98 (1.0,3.9)
0.15
0.0,0.9)
0.54 (0.1,2.2)
1.78 (0.7,4.8)
4.68 (2.3,9.3)
8.07 (4.4,14.7)
11.40 (6.5,19.8)
20.23 (11.8,34.5)
$20k-$45k
1.59 (0.7,3.6)
0.13
0.0,0.5)
0.46 (0.2,1.1)
1.42 (0.7,3.0)
3.61 (1.5,8.6)
6.36 (2.6,15.7)
8.96 (3.4,23.4)
17.15 (5.9,49.5)
$45k-$75k
1.58 (0.8,3.3)
0.12
0.0,0.9)
0.45 (0.1,2.1)
1.47 (0.5,4.4)
3.87 (1.7,8.9)
6.53 (3.3,13.1)
9.22 (4.7,18.1)
16.50 (8.3,32.9)
$75k+
1.57 (0.8,3.0)
0.11
0.0,0.6)
0.40 (0.1,1.4)
1.32 (0.5,3.3)
3.52 (1.8,7.0)
6.14(3.4,11.1)
8.90(5.1,15.7)
18.04 (10.1,32.1)
>$20,000
1.97 (0.4,9.5)
0.17
0.0,4.1)
0.62 (0.0,8.9)
1.89 (0.2,16.4)
4.36 (0.9,20.8)
8.10(1.6,40.5)
11.17 (2.6,48.2)
20.16 (6.0,67.8)
Inc Ref/DK
1.62 (0.7,3.8)
0.13
0.0,0.9)
0.47 (0.1,2.1)
1.46 (0.5,4.3)
3.85 (1.6,9.4)
7.19 (2.9,18.1)
9.70 (4.2,22.6)
17.57 (6.5,47.4)
Inc missing
2.14 (0.2,29.5)
0.16
0.0,7.0)
0.61 (0.0,18.5)
1.96 (0.1,40.6)
4.91 (0.3,71.0)
10.19 (0.5,202.4)
15.42 (0.7,341.8)
23.53 (2.0,270.5)
Race/Ethnicity









Mexican American
1.76 (0.9,3.3)
0.21
0.0,1.4)
0.66 (0.2,2.4)
1.84(0.9,3.9)
4.33 (2.3,8.3)
7.10(3.5,14.4)
9.78 (4.6,20.7)
15.94(5.4,47.5)
Other Hispanic
2.30(0.8,6.8)
0.08
0.0,0.3)
0.40 (0.1,1.3)
1.52 (0.6,3.9)
5.31 (1.8,15.7)
10.19 (3.1,33.2)
16.11 (4.2,61.8)
29.41 (7.3,118.0)
White
1.01 (0.6,1.8)
0.10
0.0,0.6)
0.33 (0.1,1.2)
1.03 (0.4,2.4)
2.54(1.4,4.7)
4.19 (2.3,7.6)
5.63 (2.9,10.9)
9.97 (4.5,21.9)
Black
2.98 (1.7,5.1)
0.35
0.1,1.1)
1.11 (0.5,2.5)
3.05 (1.7,5.4)
7.15 (4.1,12.4)
11.63 (6.3,21.5)
15.73 (8.0,30.9)
27.24 (12.3,60.1)
Other race
5.09 (1.8,14.1)
0.27
0.0,2.1)
1.53 (0.2,13.4)
4.80 (1.1,21.6)
12.39 (3.9,39.3)
18.90 (8.7,41.3)
28.04(12.8,61.5)
62.27 (21.6,179.1)
C-25

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459	Table C-13. Freshwater fish usual fish consumption rate estimates, all ages (continued)
460
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
Region








Midwest
1.51 (0.8,2.9)
0.11 (0.0,0.5)
0.43 (0.2,1.2)
1.38 (0.7,2.8)
3.46 (1.6,7.3)
5.79 (2.4,13.9)
8.01 (3.1,20.8)
16.65 (7.4,37.2)
Northeast
1.10(0.4,2.7)
0.09 (0.0,0.9)
0.33 (0.1,1.9)
1.00 (0.3,3.6)
2.45 (1.0,5.8)
4.39 (2.0,9.8)
6.49 (2.8,15.0)
12.40(5.7,27.0)
South
2.34(1.3,4.1)
0.21 (0.0,1.1)
0.74(0.2,2.6)
2.23 (0.9,5.2)
5.55 (3.0,10.3)
9.51 (5.4,16.6)
12.96 (7.6,22.0)
23.01 (12.5,42.3)
West
1.20(0.6,2.5)
0.09 (0.0,0.5)
0.31 (0.1,1.0)
0.97 (0.4,2.2)
2.70(1.3,5.5)
4.83 (2.3,9.9)
7.11 (3.3,15.2)
14.20(5.9,34.3)
Coastal Status








Noncoastal
1.59 (0.9,2.8)
0.11 (0.0,0.6)
0.43 (0.1,1.5)
1.44 (0.6,3.5)
3.79 (2.1,6.9)
6.57 (3.8,11.3)
9.26 (5.5,15.6)
16.63 (9.2,30.2)
Coastal
1.77 (1.1,2.9)
0.14(0.0,0.7)
0.48 (0.2,1.4)
1.50(0.8,2.9)
3.91 (2.4,6.5)
6.96 (4.2,11.5)
10.09 (6.0,17.0)
19.40 (10.2,36.9)
Coastal/Inland Region








Pacific
1.34(0.8,2.3)
0.14(0.0,0.7)
0.44(0.1,1.3)
1.30(0.6,2.7)
3.18 (1.8,5.5)
5.36 (3.1,9.2)
7.27 (4.0,13.1)
13.66 (7.0,26.7)
Atlantic
1.07 (0.6,1.8)
0.12 (0.0,0.6)
0.40(0.1,1.2)
1.11 (0.6,2.0)
2.62 (1.5,4.5)
4.09 (1.9,8.8)
5.83 (2.7,12.6)
10.29 (3.9,27.0)
Gulf of Mexico
5.13 (2.7,9.6)
0.50(0.0,5.3)
1.73 (0.3,9.1)
4.90(1.7,14.4)
12.16 (5.9,25.0)
19.46 (10.7,35.4)
27.06 (14.4,50.7)
58.64 (30.7,112.1)
Great Lakes
1.36 (0.6,2.9)
0.09 (0.0,0.3)
0.38 (0.1,1.1)
1.20(0.5,2.6)
3.13 (1.4,6.8)
5.39 (2.3,12.6)
7.89 (3.4,18.2)
16.37 (6.7,39.8)
Inland Northeast
1.10(0.3,4.3)
0.08 (0.0,0.7)
0.28 (0.0,1.7)
0.89 (0.2,3.8)
2.29 (0.7,7.8)
4.48 (1.1,18.0)
6.97 (1.5,32.5)
13.67 (3.2,59.2)
Inland Midwest
1.55 (0.7,3.2)
0.12 (0.0,0.6)
0.45 (0.1,1.5)
1.43 (0.6,3.4)
3.53 (1.5,8.3)
5.82 (2.2,15.5)
7.92 (2.7,23.7)
16.82 (7.0,40.3)
Inland South
2.16 (1.1,4.1)
0.24(0.0,1.6)
0.82 (0.2,3.7)
2.31 (0.9,6.2)
5.45 (2.7,10.9)
8.74(4.9,15.6)
11.92 (6.8,21.0)
18.64 (9.0,38.6)
Inland West
1.06 (0.3,3.9)
0.06 (0.0,0.3)
0.22 (0.1,0.7)
0.69 (0.3,1.8)
2.11 (0.7,6.2)
4.24(1.2,15.4)
7.02 (1.6,30.7)
15.21 (2.8,83.5)
461
462
463
C-26

-------
464	Table C-14. Freshwater fish usual fish consumption rate estimates, adults >21 years
465
Percentiles (95% CI)

Mean (95% CI)
25th
50th
75th
90th
95th
97th
99th
All Adults
Ann AK
1.99 (1.2,3.3)
0.20 (0.0,1.1)
0.63 (0.2,2.0)
1.86 (0.9,4.0)
4.57 (2.8,7.6)
7.76 (4.9,12.3)
10.97 (6.9,17.3)
19.93 (11.4,34.7)
Ucnoci
Female
1.53 (0.9,2.6)
0.16 (0.0,0.8)
0.50 (0.2,1.4)
1.46 (0.8,2.7)
3.58 (2.1,6.1)
6.02 (3.3,11.1)
8.09 (3.8,17.3)
15.08 (6.1,37.1)
Male
2.59 (1.3,5.1)
0.28 (0.0,1.8)
0.83 (0.2,3.2)
2.45 (0.9,6.5)
5.96 (3.0,11.7)
10.19 (5.5,18.8)
13.90 (8.1,23.9)
25.12 (15.1,41.7)
Age
21 to <35 yrs
1.54(0.8,3.1)
0.17 (0.0,1.4)
0.52 (0.1,2.6)
1.45 (0.5,4.3)
3.54(1.6,7.6)
6.03 (3.0,12.0)
8.22 (4.4,15.4)
15.38 (7.7,30.5)
35 to <50 yrs
1.77 (1.1,3.0)
0.15 (0.0,0.6)
0.47 (0.2,1.3)
1.46 (0.7,2.9)
3.93 (2.2,6.9)
7.34(4.2,12.9)
10.46 (5.9,18.4)
19.85 (10.2,38.7)
50 to <65 yrs
2.93 (1.4,6.1)
0.35 (0.1,2.2)
1.09 (0.3,4.3)
2.99 (1.1,8.0)
6.74(3.4,13.2)
11.00(6.0,20.1)
14.36 (8.1,25.5)
27.06 (15.0,48.7)
65+ yrs
1.92 (1.0,3.8)
0.28 (0.0,1.6)
0.74 (0.3,2.0)
1.93 (0.9,4.0)
4.34(1.9,10.1)
6.86 (2.6,17.9)
9.64 (3.8,24.3)
18.68 (8.2,42.7)
WCA (13-49 years)
Income
1.13 (0.6,2.1)
0.08 (0.0,0.4)
0.30 (0.1,0.9)
0.97 (0.5,1.9)
2.57 (1.4,4.6)
4.53 (2.3,8.9)
6.77 (3.4,13.3)
12.64 (4.9,32.8)
<$20,000
2.37 (1.2,4.8)
0.24 (0.0,1.6)
0.74 (0.2,2.9)
2.20 (0.9,5.6)
5.49 (2.8,10.7)
9.37 (5.1,17.3)
12.63 (7.3,21.7)
22.54 (12.6,40.3)
>$20,000
1.92 (1.2,3.1)
0.20 (0.0,1.0)
0.61 (0.2,1.9)
1.79 (0.9,3.7)
4.41 (2.7,7.3)
7.40(4.5,12.1)
10.42 (6.3,17.2)
19.28 (10.4,35.8)
Income unknown
2.12 (0.7,6.4)
0.22 (0.0,2.7)
0.66 (0.1,3.9)
1.94 (0.5,7.8)
4.99 (1.6,15.5)
9.15 (2.9,29.3)
15.21 (3.4,68.7)
22.38 (8.3,60.2)
Income, finer detail








<$20,000
2.37 (1.2,4.8)
0.24 (0.0,1.6)
0.74 (0.2,2.9)
2.20 (0.9,5.6)
5.49 (2.8,10.7)
9.37 (5.1,17.3)
12.63 (7.3,21.7)
22.54 (12.6,40.3)
$20k-$45k
1.87 (0.8,4.1)
0.21 (0.1,0.7)
0.61 (0.3,1.4)
1.71 (0.8,3.7)
4.21 (1.7,10.4)
7.21 (2.8,18.6)
10.15 (3.8,27.1)
18.53 (5.9,58.0)
$45k-$75k
1.91 (0.9,4.1)
0.20 (0.0,1.7)
0.65 (0.1,3.3)
1.92 (0.6,6.4)
4.62 (2.0,10.7)
7.38 (3.8,14.4)
10.37 (5.2,20.5)
17.84 (8.5,37.4)
$75k+
1.94(1.0,3.9)
0.18 (0.0,1.0)
0.57 (0.2,2.0)
1.71 (0.7,4.4)
4.27 (2.1,8.6)
7.38 (4.0,13.5)
10.59 (5.9,19.1)
19.93 (10.9,36.4)
>$20,000
2.34 (0.5,11.2)
0.26 (0.0,6.0)
0.79 (0.1,9.6)
2.19 (0.3,15.3)
5.33 (1.0,27.4)
9.33 (1.9,45.0)
14.03 (2.7,74.2)
20.58 (6.9,61.4)
Inc Ref/DK
1.85 (0.7,4.6)
0.20 (0.0,1.5)
0.57 (0.1,2.3)
1.76 (0.6,5.3)
4.45 (1.8,11.0)
7.72 (3.0,19.8)
10.98 (4.6,26.2)
17.57 (6.0,51.3)
Inc missing
2.71 (0.2,40.2)
0.30 (0.0,18.0)
0.84 (0.0,23.5)
2.50 (0.1,50.6)
6.07 (0.4,90.0)
14.58 (0.4,478.3)
19.47 (0.7,522.9)
28.82 (2.1,395.7)
Race/Ethnicity








Mexican American
2.18 (1.0,4.6)
0.34 (0.1,1.7)
0.95 (0.3,2.8)
2.40 (1.2,4.9)
5.31 (2.5,11.3)
8.64(3.9,19.3)
11.74 (5.0,27.5)
17.57 (4.6,66.8)
Other Hispanic
2.95 (1.0,8.9)
0.17 (0.0,0.7)
0.60 (0.2,1.9)
2.07 (0.8,5.2)
7.05 (2.2,22.8)
12.37 (3.8,40.5)
19.03 (4.9,73.4)
39.93 (7.0,228.1)
White
1.22 (0.7,2.2)
0.16 (0.0,0.9)
0.46 (0.1,1.6)
1.28 (0.6,2.9)
3.01 (1.7,5.5)
4.81 (2.7,8.7)
6.42 (3.3,12.4)
11.01 (5.0