600183015c
United States Health Effects Research PPA/finn/i a-j /m *
Environmental Protection Laboratory tPA/600/1 -83/015e
Agency Research Triangle Park NC 27711 September 1987
Research and Development Pesticides and Toxic Substances
&EPA U.S. Cancer
Mortality Rates and
Trends, 1950-1979
Volume IV: Maps
by
Wilson B. Riggan, Ph.D.*
John P. Creason, Ph.D.*
William C. Nelson, Ph.D.*
Kenneth G. Manton, Ph.D.**
Max A. Woodbury, Ph.D.**
EricStallard**
Alvin C. Pellom, Ph.D.***
Jefferson Beaubier, Ph.D.****
"Environmental Epidemiology and Biometry Division
Health Effects Research Laboratory
U.S. Environmental Protection Agency
Research Triangle Park, North Carolina 27711
**Center for Demographic Studies
Duke University
Durham, North Carolina 27706
***Northrop Services, Inc.
Research Triangle Park, North Carolina 27709
****Exposure Evaluation Division
Office of Toxic Substances
U.S. Environmental Protection Agency
Washington, DC 20460
For Sale by the Superintendent of Documents, U.S. Government
Printing Office, Washington, DC 20402
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Disclaimer
This document has been reviewed in accordance with U.S. Environmental Protection
Agency policy and approved for publication. Mention of trade names or commercial
products does not constitute endorsement or recommendation for use.
-------
Foreword
The many benefits of our modern, developing, industrial society are accompanied
by certain hazards. Careful assessment of the relative risk of existing and new man-
made environmental hazards is necessary for the establishment of sound regulatory
policy. These regulations serve to enhance the quality of our environment in order
to promote the public health and welfare and the productive capacity of our Nation's
population.
The complexities of environmental problems originate in the deep interdependent
relationships between the various physical and biological segments of man's natural
and social world. Solutions to these environmental problems require an integrated
program of research and development using input from a number of disciplines. The
Health Effects Research Laboratory, Research Triangle Park, NC and Cincinnati, OH
conducts a coordinated environmental health research program in toxicology,
epidemiology, and clinical studies using human volunteer subjects. Wide ranges of
pollutants known or suspected to cause health problems are studied. The research
focuses on air pollutants, water pollutants, toxic substances, hazardous wastes,
pesticides and non-ionizing radiation. The laboratory participates in the development
and revision of air and water quality criteria and health assessment documents on
pollutants for which regulatory actions are being considered. Direct support to the
regulatory function of the Agency is provided in the form of expert testimony and
preparation of affidavits as well as expert advice to the Administrator to assure the
adequacy of environmental regulatory decisions involving the protection of the health
and welfare of all U.S. inhabitants.
This atlas, volume 4 in our series, which supplements the county tabulations
presented in the first three volumes, an important Laboratory product, provides EPA
and other governmental agencies, state and local health departments, universities,
and environmental control agencies with an historic data base and ready reference
containing maps which show spatial and temporal patterns of cancer mortality.
This report contains maps of the conterminous United States which show the
geographic variation in cancer mortality rates for each of the three decades between
1950 and 1979 as well as the variation in the trends (i.e. the changes in these rates
between the first and third decade). It supplements the three volume tabulation of
cancer mortality rates and trends previously published in cooperation with the National
Cancer Institute. With each map are graphs of the data distribution and corresponding
national rates. The maps use five class intervals for the cancer rates, represented
by grey tones ranging from black for the highest class to white for the lowest.
These maps and the information they provide about the geographic and temporal
patterns in cancer mortality may be used in a number of ways in epidemiological
investigation, such as aiding in the formulation of hypotheses about the environmental
determinants of human cancer or standing as a ready reference for researchers and
other concerned groups.
F. Gordon Hueter, Ph.D.
Director
Health Effects Research Laboratory
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Abstract
The reduction in deaths from contagious disease during the past century, and the
reduction in deaths from cardiovascular disease during the past decade and a half,
increase the relative importance of cancer mortality. With over 450,000 deaths in
1984 cancer mortality ranks second only to deaths from heart disease [1 ].
This atlas supplements the county tabulations in the first three volumes. The maps
show patterns of cancer mortality rates for each of the four race-sex groups, for the
three decades 1950-59, 1960-69, and 1970-79, as well as change maps reflecting
the changes in rank between the first and third decades. More common cancers among
the white population are mapped at the county level while the less common cancers
and non-white cancers are mapped at the state economic area (SEA) level.
Spatial variation of site-specific cancer mortality at the county or state economic
area level can provide insights into possible etiologic or environmental factors and/
or the bases for more detailed epidemiological studies. One complication with such
studies, especially for rare cancer types, is that unstable local area rate estimates,
resulting from small population sizes, can obscure the underlying spatial pattern of
disease risk. These cancer maps use more stable rate estimates by statistically weighting
the local area estimates toward the national level. Details of this procedure have been
presented in a recent journal article by Manton et al. [2].
Cancer mortality data as arranged in these maps have many uses. For example,
the geographic and temporal differences are useful in developing and examining
hypotheses about the influence of various environmental factors. The consistency of
such differences across race, sex and age groups can provide insight into other possible
causes. For local communities concerned about a specific cancer situation, these maps
provide both a spatial and temporal historic context in which to evaluate the local
conditions.
The continuing improvement and steadily declining cost of all aspects of
microcomputer operation, especially processing power, storage capacity, and graphic
output quality, have recently provided the means to produce inexpensive, high quality
maps at the county or state economic area level. Maps such as these should become
even more important in the future as a valuable tool in assessing spatial and temporal
variation in cancer mortality.
iv
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Contents
Foreword \\\
Abstract iv
Acknowledgment jx
Introduction and Summary xj
Materials and Methods xiv
Source and Description of Data xiv
Statistical Methodology xiv
The Maps , Xvi
Technical Notes xviii
Area Recedes and Combinations of Counties xviii
Standard Million Population xix
Constructing Equivalent Categories xix
Cancer Site Comparability Table xix
References xx
Maps 1
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Cancer Sites
ICD 9th Rev.
Page Number
Site
WM
WF
NM
NF*
Volume 1
140-208
140
141,143-
146,148,149
142
147
150
151
153,159.0
1 54 except 1 54.3
155,156
157
All cancers combined
Cancer of the lip
Cancer of the oral cavity
including tongue
Cancer of the salivary
gland
Cancer of the
nasopharynx
Cancer of the
esophagus
Cancer of the stomach
Cancer of the large
intestine
Cancer of the rectum
Cancer of the liver and
gallbladder including
bile ducts
Cancer of the pancreas
001
117
148
231
280
321
406
507
608
699
792
033
137
179
253
299
352
438
539
639
731
824
065
144
207
271
311
379
470
571
670
763
856
091
146
221
276
317
395
490
589
685
778
873
Volume II
160
161
162,163,165
170
171,164.1
172
173,154.3
174,175
179,181,182
180
183
185
186
188,189.3
1 89 except 1 89.3
Cancer of the nose, nasal
cavities, middle ear and
accessory sinuses
Cancer of the larynx
Cancer of the trachea,
bronchus and lung
including pleura and
other respiratory sites. . . .
Cancer of the bone
including jaw
Connective and soft
tissue cancer
Malignant melanoma
of skin
Nonmelanoma skin
cancer
Cancer of the breast
Cancer of the chorion and
uterus
Cancer of the cervix uteri
Cancer of the ovary,
fallopian tube and
broad ligament
Cancer of the prostate
Cancer of the testis
Cancer of the bladder and
other urinary organs
Cancer of the kidney and
ureter
001
053
117
222
297
364
435
506
' * *
730
782
814
904
023
083
150
251
323
394
465
523
581
631
682
846
935
041
100
182
278
348
423
491
555
762
808
876
965
048
112
204
288
356
429
499
561
613
663
714
891
978
*WM = White male
WF = White female
NM = Non-white male
NF = Non-white female
vi
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Cancer Sites
Page Number
ICD 9th Rev.
Site
WM
WF
NM
NF*
Volume III
190
191,192
193
194,164.0
159.1,200,
202.0,.1,.8,.9
201
203 except 203.1
204-208,202.4,
203.1
152,158,159.2-
.9,164.2-.9,184
187,195-199
202.2,.3,.5,.6
Cancer of the eye
Cancer of the brain and
other parts of the
nervous system
Cancer of the thyroid gland
Cancer of the thymus and
other endocrine glands...
Lymphosarcoma and
reticulum cell sarcoma
including other
lymphoma
Hodgkin's disease
Multiple myeloma
Leukemias
Secondary, site
unspecified, and not
previously listed
cancers
001
042
128
186
226
316
392
476
571
019
074
148
203
258
346
422
508
604
035
105
173
218
290
374
451
540
637
039
117
178
222
304
384
464
556
656
Volume IV
Page Number
Cancer Sites
ICD 9th Rev.
County
SEA
Site
WM WF WM WF NM
140-208 All cancers
combined 002 006 010 014
140 Cancer of the lip 018
141,143-146 Cancer of the oral
148,149 cavity including
tongue 022 026 030 034
147 Cancer of the
nasopharynx 038 ... 042
150 Cancer of the
esophagus 046 050 054 058
151 Cancer of the
stomach 062 066 070 074
153,159.0 Cancer of the large
intestine 078 082 086 090
154 except 154.3 Cancer of the
rectum 094 098 102 106
155,156 Cancer of the liver
and gallbladder
including bile
ducts 110 114 118 122
157 Cancer of the
pancreas 126 130 134 138
161 Cancer of the
larynx 142 146 150^ ...
162,163,165 Cancer of trachea,
bronchus, and lung
including pleura
and other
respiratory sites.... 154 158 162 166
164.1,171 Con nective a nd soft
tissue cancer 170
170 Cancer of the bone
including jaw 174 178
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Page Number
Cancer Sites
ICD 9th Rev.
SEA
Site
County
WM WF WM WF NM NF*
172 Malignant
melanoma of
skin 182 186
173,154.3 Nonmelanoma skin
cancer 190 194
174,175 Cancer of the
breast 198 202 206
179,181,182 Cancer of the chorion
& uterus 210 214
180 Cancer of the
cervix uteri 218 ... 222
183 Cancer of the ovary,
fallopian tube and
broad ligament 226 230
185 Cancer of the
prostate 234 238 ...
186 Cancer of the
testis 242
188,189.3 Cancer of the bladder
and other urinary
organs 246 250 254 258
189 except 189.3 Cancer of the kidney
and ureter 262 266 270 ...
191,192 Cancer of the brain
and other parts of
the nervous
system 274 278 282 286
193 Cancer of the thyroid
gland 290 294
159.1,200, Lymphosarcoma and
202.0,.1,.8,.9 reticulum cell
sarcoma including
other lymphoma 298 302 306 310
201 Hogkin's disease 314 318
203 except203.1 Multiple myeloma 322 326 330 334
204-208,202.4, Leukemias 338 342
203.1
152,158, Secondary, site
159.2-.9,164.2- unspecified, and not
.9,184,187,195- previously listed
199,202.2,.3, cancers 346 350 354 358
.5,.6
Page number
Map of county boundaries 362
Map of state economic area boundaries 363
viii
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Acknowledgment
We wish to acknowledge and thank Dr. Thomas Mason, National Cancer Institute,
for his helpful suggestions, consultation, and long-term support for and interest in
our work.
We wish to acknowledge support and help of other USEPA scientists, especially
Drs. Jack Griffith and Carl Hayes, EEB, EEBD, Dr. Thomas Curran, Warren Freas, III,
William F. Hunt, Jr., OAQPS, and Dr. R. Clifton Bailey, AED, OWRS.
We wish to acknowledge support and help of Dr. Gene Lowrimore, formerly with
USEPA, and now with Duke University and an independent consultant. Also, we thank
Gregory and Sue Woodbury of Duke for their help especially with our mapping program
and the generation of the maps.
We wish to acknowledge other scientists for their technical review and helpful
suggestions, especially Dr. Kenneth Bridbord, International Studies Branch, Fogarty
International Center, NIH, Dr. John F. Finklea, Department of Public Health, University
of Alabama in Birmingham, Dr. Jean French, CDC, NIOSH, Atlanta, Dr. Roy Ing, Center
forEnvironmentalHealth.Atlanta, Dr. Michael D.Lebowitz, University of Arizona College
of Medicine, Dr. Clifford H. Patrick, U.S. Veterans Administration Medical Center, in
Durham, Dr. James H. Stebbings, Jr., Center for Human Radiobiology, Argonne National
Laboratory, and Dr. Marvin A. Schniederman retired from the National Cancer Institute
and currently a private consultant.
We thank the many scientists who commented and provided valuable suggestions
during and following presentation of the statistical stabilization of mortality rates and
the mapping procedure used in this atlas. We made these presentations at local,
national, and international seminars and professional meetings.
Dedicated to the Late John Van Bruggen
who directed the data management activity and who painstakingly collected, verified,
and validated each data entry over a 20 year period. He looked forward to the publication
of these maps.
ix
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Section 1
Introduction and Summary
Introduction
The reduction in deaths from contagious disease during
the past century and from cardiovascular disease during
the past decade and a half, increase the relative importance
of cancer mortality. With over 450,000 deaths in 1984,
cancer mortality ranks second only to deaths from heart
disease [1,3,4]. The increase in the relative importance
of cancer mortality during the past three decades has been
accompanied by an unparalleled growth in urbanization,
industrial expansion, increased use of private automobiles
and other modes of transportation, and growth in chemical
production. There have also been major changes in life
style and occupation, and many advances in the knowl-
edge, detection, and treatment of cancer [3,5,6,7].
However, the lag time between the inception of the disease
and the clinical diagnosis suggests that the relevant
exposure leading to current cancer deaths may vary from
a very short period of time for some leukemias up to 20
or more years for lung cancer.
The geographic distribution of cancer has been used
for various epidemiologic purposes. U.S. CANCER
MORTALITY BY COUNTY: 1950 -1969 by Mason and
McKay provided twenty year average ca ncer mortality rates
by county [8]. In this and two companion atlases by Mason
et al., the importance of analyses of county mortality data
is discussed [9,10].
In U.S. CANCER MORTALITY RATES AND TRENDS,
1950-1979: Volume 1-3 containing tables, not maps, we
used a strategy similar to that used by Mason and McKay
for screening county mortality data, but in place of twenty
year averages, we presented rates by county for each of
the three decades 1950-59, 1960-69 and 1970-79, as
well as the trends, defined as the percent change from
1950-59 to 1970-79 [11]. The above publications have
been most useful in identifying high risk areas, facilitating
correlational analyses to suggest potential risk areas and
selecting areas for further study [12].
Recently NCI published ATLAS OF U.S. CANCER
MORTALITY AMONG WHITES: 1950-1980, by NCI
Epidemiology and Biostatistics Program scientists Linda
W. Pickle, Ph.D., Thomas J. Mason, Ph.D., Robert Hoover,
M.D., and Joseph F. Fraumeni, Jr., M.D., and by Neil
Howard, ORI, Inc., under contract to NCI. [13]. This atlas
is an update of an earlier NCI atlas by Mason et al. [9].
This publication should be even more useful than NCI's
previous atlases by Mason et al. in generating etiologic
clues and identifying geographic areas where cancer
investigators and public health officials might direct special
attention. NCI's latest atlas not only updates their previous
publications, adding a third decade to the time period, but
also provides an advancement in the graphic presentation
of quantitative mortality data over time and space. By
presenting the mortality data separately by decade the
format is similar to that used by us in [11 ].
The current atlas is very similar to and complements
NCI's with differences reflecting the difference in the
mission of the two agencies. NCI is interested in developing
clues to the etiology of cancer and developing strategies
to prevent and/or cure cancer, while EPA is interested
in providing information with which to protect the
population from the harmful effect of environmental
pollutants. As with the NCI atlas, we hope this atlas will
continue to stimulate research and serve as a tool to better
understand the true cause of cancer.
This atlas, volume 4 in our series, which supplements
the county tabulations presented in the first three volumes,
illustrates the geographic patterns of cancer mortality with
maps, for males and females, whites and non-whites, for
the three decades just described. Changes occurring in
county or SEA ranking between 1950-59 and 1970-79
are also mapped. More common cancers among the white
population are mapped at the county level, while less
common cancers and all non-white cancers are mapped
at the state economic area (SEA) level.
Cancer mortality data as arranged in these maps have
many uses. For example, the geographic and temporal
differences are useful in developing and examining
hypotheses about the influence of various environmental
factors. The consistency of such differences across race,
sex and age groups can provide insight into other possible
causes. For local communities concerned about a specific
cancer situation these maps provide both a spatial and
temporal historic context in which to evaluate local
conditions.
Spatial variation of site-specific cancer mortality at the
county or state economic area level can provide insights
into possible environmental factors and/or provide the
bases for more detailed epidemiological studies, or
environmental monitoring. One complication with such
studies, especially for rare cancer types, is that unstable
local area rate estimates, resulting from small population
sizes, can obscure the underlying spatial pattern of disease
risk. These cancer maps use more stable rate estimates
by statistically weighting the local area estimates toward
the national level. Manton et al. presented the procedure
in a recent journal article [2].
We used a two-step process to generate the maps. First,
we statistically adjusted the data to stabilize the rates using
an empirical Bayes procedure developed by EPA and the
Duke University Center for Demographic Studies [2,14].
We provide a more detailed explanation in Section 2.B.
We then downloaded the data to a microcomputer-based
mapping system that imaged the maps, text, and two
supplemental graphs on a desktop laser printer. The first
graph presents the frequency distribution of areas by rate
for the rate maps. The second graph presents the national
age specific rates. For the trend maps, the second graph
presents the national rates for each of the three decades.
xi
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The continuing improvement and steadily declining cost
of all aspects of microcomputer operation, especially
processing power, storage capacity, and graphic output
quality, have recently provided the means to produce
inexpensive, high quality maps at the county or state
economic area level. Maps such as these should become
even more important in the future as a valuable tool in
assessing spatial and temporal variation in cancer
mortality.
Uses of These Maps
Mapping and the analysis of geographic patterns is not
new in epidemiological investigation. John Snow, in his
classic study of 1854, mapped individual cases of a cholera
epidemic in London, revealing a strong circular pattern
centered on the Broad Street water pump. Even though
the epidemic peaked prior to the removal of the pump's
handle, this is an important historic example of an
epidemiologist analyzing geographic patterns of morbidity
or mortality in the epidemiological investigation of an
epidemicbe the epidemic from environmental exposure
or from contagious disease. Many books on planning
epidemiological studies include a discussion of Snow's
studies [15].
The maps of mortality rates in this volume may be used
for various epidemiologic studies and purposes. These
maps may be used to identify counties or groups of counties
with high cancer mortality rates, large shifts in rank of
areas over time, or both. Investigation into possible causes
can then proceed. Or, approaching the problem from the
other end, the maps may be used to locate counties with
unusual demographic, environmental, industrial charac-
teristics, or employment patterns and determine whether
they exhibit elevated rates or unusual trends that might
be attributed to these characteristics. Since these maps
are sex specific, it is possible to compare the mortality
among males and females. High rates in both sexes
suggest a possible relation to environmental exposure or
other factors unrelated to sex, while high rates among
men only suggest occupational or other sex-related factors.
This report may be used along with other secondary
information such as data on ambient environmental
pollution levels, emission data, employment patterns, and
demographic characteristics as part of a systematic cancer
research approach as described by Blot, et al. [12,16].
Researchers may use this report to identify counties and
groups of counties for developing and implementing a
detailed monitoring program of ambient environmental
pollutants, or for performing field work such as case-
control studies. Whether the study is an environmental
monitoring or an epidemiological field study, this report
provides a method of screening cancer mortality data to
select areas most suitable for study. Another important
use of these maps will be as a graphic reference for the
EPA and other governmental agencies, state and local
health departments, universities, and citizens' groups. For
local communities concerned about a specific cancer
situation, this report provides both a spatial and temporal
historical context in which to evaluate the local condition.
An EPA publication, THE CANCER MORTALITY ATLAS
DATA MANAGEMENT SYSTEM by Pellom et al., contains
the computer programs used to generate the stabilized
rate for the mapping system, their complete docu mentation
and instructions for running the programs. A professional
computer programmer should be able to prepare the data
to be used in generating the maps. These programs will
be available from the National Technical Information
Service (NTIS) [17].
Another EPA publication, THE CANCER MORTALITY
ATLAS MAPPING SYSTEM, by Pellom et al., contains the
computer programs, documentation, and instructions to
run the programs. This publication includes the specifi-
cation of the desktop laser printer to generate the maps
[18].
These programs, their documentations, and their
instructions will provide interested researchers in
epidemiology, biostatistics, geography, demography, and
related departments a rapid and inexpensive means of
generating maps. We hope these maps will stimulate
additional research into the underlying causes and the
prevention of cancer.
Data Characteristics
Several characteristics of the cancer mortality data
mapped here can affect interpretation and should be kept
in mind. These are the accuracy and completeness of the
death certificate information, the effect of changes in
classification over time, coding and population character-
istics, the effects of migration, and the long latency period
for many kinds of cancer.
Several studies have compared the diagnostic classi-
fication information on the death certificate to diagnostic
information from other sources such as hospital records
and autopsy results [19,20,21,22]. These studies have
generally shown the overall agreement between diagnosis
and underlying cause of death to be very high for the most
frequent causes of mortality. Studies of completeness and
consistency of the demographic information on the death
certificate have also shown high agreement [20,22].
Although these results are very encouraging, the user
should be aware of potential limits in interpretation.
Studies of temporal trends in cancer mortality require
recognition of possible effects of the decennial revisions
of the International Classification of Diseases (ICD) during
the thirty year span of our study [23]. We discuss our
treatment of the comparability issue in Section 3.C. Check
the Cancer Site Comparability Table's footnote on code
156 ICD 6 and 7, and code 193 ICD 6. We generated
equivalent codes for the sixth, seventh, eighth and ninth
editions of the ICD. In Section 3.A, we discuss our method
of establishing fixed equivalent county boundaries over
the thirty years.
The rapid development of diagnostic procedures over
the term of this study has increased the precision with
which site-specific cancers are identified, but at the level
of aggregation used in this report, diagnostic practice
should have little effect on the results for most sites.
Population distribution by age, sex, and race affect
cancer mortality. In Section 3.B, we present the U.S.
standard million population for 1970 which we used for
direct age standardization of mortality. Populations differ
for these characteristics not only across county boundaries
but also over time within counties due to migration, births,
deaths and possible changes in competing causes of death
[22,24]. The effect of these changes is complicated for
most types of cancer by the long time between exposure
to a suspected carcinogen and the appearance of the
xii
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disease. Cause and effect cannot be determined from these
maps without additional data and investigation.
A final reminder is that these cancer mortality maps
are presented in terms of geographic risk. Our major
purpose is to examine the spatial and temporal differences
in order to generate hypotheses about possible environ-
mental factors. In this respect, this report differs from
studies concerned with the temporal trends such as Pollack
and Horm [4]. The maps presented in this volume are a
prime source in documenting geographic patterns of
cancer rates and trends over the 30 year period. Despite
the constraints on interpretation imposed by the data
characteristics mentioned above and discussed more fully
elsewhere [19-22], we believe these maps can contribute
significantly to many aspects of cancer research.
xiii
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Section 2
Materials and Methods
A. Source and Description of Data
These maps use data from the National Center for
Health Statistics (NCHS) and the Bureau of the
Census.
1. Death Records: General Characteristics
Years available: We have virtually all cancer
death records for 1950-1979.
International Classification of Diseases: We
used ICD codes from the ninth revision for 1979
mortality for our maps and the table of
contents. NCHS used the ICD adapted for use
in the U.S., the ICDA, instead of the unmodified
ICD codes from the eighth revision to classify
and code the underlying cause of death for
1968-1978 [25]. The comparability tables
follow NCHS practice in the use of the ICD for
editions 6, 7, and 9, and the ICDA for edition
8 [25]. We have used ICD in place of ICDA when
referring to editions in general discussion.
Each death record contains the county of
residence, year and month of death, age in
years, race (white or non-white), sex, and ICD
rubric. For more detail on death records, see
the Technical Appendix from Vital Statistics of
the United States 1979 and other years [26].
2. Death Records: Special Characteristics
Mortality data coded for 1952 combined the
five boroughs of New York City. We used the
average ratio for 1950, 1951, 1953, and 1954
to estimate 1952 deaths in each borough [27].
New Jersey did not code race in 1962 or 1963
[28]. F. W. McKay of the National Cancer
Institute gave us the estimates he used in their
publications [8,9,10].
We included all cancer deaths during 1972
even though Vital Statistics of the United States
1972 used only a fifty percent sample in their
publication [29].
Over the 30 years covered in this report, the
International Classification of Disease [ICD] has
undergone four revisions: sixth, seventh,
eighth, and ninth [23]. We have included a table
of comparative ICD codes from each revision.
Also in the table codes from the sixth and
B.
seventh revision are grouped together because
for our purposes they are essentially identical.
For comparability over the thirty years, we did
not include Polycythemia Vera or Myelofibrosis
[ICDA 208,209] since only the eighth edition
classified these as cancer.
3. Population Records
Census years: 1950, 1960, 1970, and 1980.
Detail: By county, race, and sex, 5 year age
groups through 84 and 85+.
Population 1950 census: The 1950 Bureau of
Census populations for each county, race, and
sex were for 5 year age groups through 74,
75-84 and 85+. In order to make the 1950
county counts consistent with 1960, 1970,
1980 data, we used the U.S. race and sex
specific counts for age 75-79, and 80-84 from
the U.S. Bureau of Census 20% enumeration
sample to estimate the percent of age 75-84
who were in the 75-79 age group. Using this
percentage we estimated the county counts in
the 75-79 age group and assigned the
remainder to the 80-84 age group.
Interpolation between census years: We used
simple linear interpolation between census
years to generate mid-year population
estimates.
4. Geographic Detail
"County" as used in these maps refers to a
county, a parish in Louisiana, an independent
city, or to a combination of counties as shown
in the Technical Notes.
Through the years political boundaries have
changed. Therefore to keep a consistent
geographic framework, we adopted a standard
definition for counties and adjusted the data
to it. The Technical Notes give details on these
inconsistencies and their resolution [30].
Statistical Methodology
1. Local Area Mortality Rates and Their Variation
We used area in referring to county or SEA
in the statistical discussion on the generation
of stabilized rates.
xiv
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One concern in creating these maps was the
variability of county cancer death rates accum-
ulated over a decade. For example, in [14] we
ranked counties for white male bladder cancers
by deciles for each decade. We found that
between 1950-59 and 1960-69, 40 counties
out of 306 shifted from the lowest to the highest
decile and 38 shifted from the highest to the
lowest decile. Contrast this with the case for
lung cancer for which the corresponding
numbers are 11 and 9.
Variability in the mortality rates for many
cancer sites is largely due to the small number
of deaths involved. The chance occurrence or
non-occurrence of a single death can have a
disproportionate effect on the rate for a rare
disease or for an area with a small population.
Such statistical instability makes the identifi-
cation of "extreme" rates difficult and tends
to conceal patterns by breaking up clusters of
counties or SEAs with similar rates. We
increase the stability of these rate estimates
by combining the event rate in the local area
population with information from the event rate
in the total population [31]. For these reasons,
our stabilized rates are generally better risk
indicators than the observed rates.
We used a two-stage empirical Bayes (EB)
procedure to create the stabilized (composite)
rate estimates used for the maps [2,14]. In the
first stage empirical Bayes estimates are
obtained from the observed standarized mor-
tality ratios (SMRs) by assuming that the
number of deaths for each area i is distributed
as a Poisson distribution, conditional on the
unobserved true standardized mortality ratio k,.
The true standardized motality ratio ki is
assumed to be gamma distributed with mean
1 and variance b. This leads to the familiar
negative binomial marginal distribution for the
number of deaths in an area. Because the
Poisson and the gamma distribution are
conjugates the empirical Bayes estimates of ki
are given by:
k, = Bi(SMRi) + (1-B,)(1)
a linear combination of the observed standard-
ized mortality ratio and the mean of the
standardized mortality ratio prior distribution.
The weight estimates, B>, depend on the
variance parameter b which is obtained by
maximum likelihood from the marginal nega-
tive binomial distribution. The second stage
empirical Bayes estimates of age and county
specific death rates are obtained by assuming
a model in which the true death rates for
individuals are independently gamma distrib-
uted with (1) mean values which are dependent
on both area i and age group a [i.e., ki(m.a)]
and (2) variances that are proportional to mean
values.
The empirical Bayes age adjusted death rate
(EBDRi) for each area is a composite of three
age adjusted mortality rates: (1) the direct
method age adjusted death rate (DMDRi); (2)
the indirect method age adjusted death rate
(IMDRi); (3) the national age adjusted death rate
(NDR).
The weighting function eq. (1) is:
EBDRi = W(DMDRi) + (1-W)
(1-B,)NDR]
Where i indexes area, for county i = 1 ,...,3061 ,
or for SEA i = 1,...,507. B, is the first stage
empirical Bayes weight which varies by area
reflecting the different stability in rates for
areas of different sizes. The second stage
empirical Bayes weight W is constant over
areas because it reflects the residual variation
in age specific death rates after the first stage
statistical adjustment. This weight depends on
the proportionality constant in the residual
variance expression which is obtained by
maximum likelihood from the second stage
conditional negative binomial distribution.
We have as part of the stabilizing procedure
a statistical test of the negative binomial
coefficients to determine whether we have
sufficient information in the data for meaning-
ful maps. This provides a very high probability
that none of the maps will be based on random
data.
We define:
yla = the number of deaths in area i, age group
a (within any selected category of race,
sex, decade, and site),
nia = the number of person-years of exposure
associated with yia,
= the observed age specific death rate in
area i, age group a,
No = the number of persons in the standard
(million) population age group a (see
Section 3.B),
In conventional summation notation, we
replace the index i or a with + to denote
summation over the range of the index. Hence,
y+a = Z yia
= the observed number of deaths in the
national population in age group a,
n+a = Z no
= the number of person-years of exposure
associated with y+«,
-------
Vi+ = Z yia C.
= the observed number of deaths in area i,
n,+ = Z nia
= the number of person-years of exposure
associated with yi+,
N+ = Z Na,
= the number of persons in the standard
(million) population.
We use an asterisk to replace the index i or
a in designating the marginal death rates.
Hence,
m,a = y+a / n+a
= the observed national death rate in age *
group a,
mi. = yi+ / ni+
= the observed death rate in area i.
Using the above notations, the component
adjusted mortality indexes are defined as,
DMDRi = Z mla(Na) / N+,
NDR = Z m.a(Na) / N+,
IMDRi = SMRi(NDR),
where the observed standardized mortality ratio
is defined as,
SMRi = yi+ / Z m,fl(nta).
The EB-estimate of the "true" death rate in area
i, age group a, is obtained as.
i) + (1 -B,)(1 )]
= W(mia) + (1 -
where Bi and W are obtained by maximum
likelihood described above.
The final empirical Bayes estimate is obtained
by direct method age adjustment of the set of
EB-estimates uia, using Na from the standard
(million) population,
EBDRi = Z uia(Na) / N+,
which yields (1).
For full mathematical details see [2,14] and
their references. Also, the raw data, the
programs used to stabilize the rates and to
prepare the data for the mapping system, and
a test data set will be available from National
Technical Information Service (NTIS) [1 7,1 8].
The Maps
1. General Description
The maps present statistically stabilized directly
age adjusted mortality data for 31 site specific
cancersfor males and females, whites and non-
whites for the three decades 1950-59, 1960-
69, and 1970-79.
The maps are grouped into sites, sex, and race.
The four maps comprising each set consist of
three rate maps, one for each decade, and a
trend map displaying the changes in area rank
between 1950-59 and 1970-79.
The rates can be read as the number of deaths
per hundred thousand. The trends are
expressed as changes in color code between
1950-59 and 1970-79.
The more common sites among the white
population are mapped at the county level while
the less common sites among the white
population and all sites among the non-white
population are mapped at the state economic
area (SEA) level.
The county base map is on page 362 and SEA
base map is on page 363.
2. How to read the maps
Except for obvious differences between the rate
and trend maps, the maps presented in this
atlas are identically organized. We have
therefore decided to remove what would
otherwise be redundant labelling and
document common features of the maps in this
section.
The maps are grouped into sets by site, sex,
and race. The maps comprising each set are
organized so that the rate maps for 1950-59
and 1960-69 are on facing pages and the rate
map for 1970-79 and the trend map are on
the following pair of facing pages.
3. Mortality Rate Maps
Percentiles were computed separately for the
areas in each rate map as:
pcth = TOO[ri/(n + 1)]
where
pctli = percentile for area i in the specified
decade in ascending order,
n = rank for area i, when sorted by rate,
n = number of ranked areas (3061 counties or
507 SEAs)
XVI
-------
For the rate maps, the data are divided into
five classes based on percentiles and
represented by a unique gray tone. The class
intervals in percentiles, and the color assigned
to each class are
Class Percentile
Color
1.
2.
3.
4.
5.
0-74
.white
75-89 light gray
90-94 medium gray
95-97 dark gray
98-99 black
A graph of the density distribution occupies the
lower left of the map window. The length of
the two color bars are proportional to the value
range. The partitioning of the lower bar and
the scale beneath it define the classes in terms
of percentiles. The partitioning of the upper bar
and the labels beneath it define the actual value
range of each class. The small black pointers
denote the national rate; one in terms of its
numeric value, the other in terms of percentiles.
For the rate maps, the lower right of the window
contains a graph of the national age-specific
rates. For the trend maps, this position contains
a table of the national adjusted rates by decade.
Below both graphs are two labels. One
identifies the disease(s) affecting the site by
their ICD (9th revision) code(s). The other
identifies the map as by county or by state
economic area.
4. Mortality Trend Maps.
The trend maps are based on changes in rank
of areas between 1950-59 and 1970-79.
We define the coding variables as follows:
C5o = color class for each area 1950-59;
Cro = color class for each area 1970-79;
TC = trend classfor each area ofthetrend map;
TC = C?o - Cso
The five class intervals for the trend maps and
the color assigned to each class are:
Class TC Class
Color
1.
2.
3.
4.
5.
-4
-3,-2
-1,0,1
2,3
4
white
light gray
medium gray
dark gray
black
For trend maps the lower left window contains
a table which shows the relationship of the
trend map color codes to the C50 and C70 color
classes. The medium gray on the trend maps
indicates little or no change in area rate
between 1950-59 and 1 970-79. The color black
indicates the maximum increase in rate
between 1950-59 and 1970-79. Color white
indicates the maximum decrease in rate
between 1950-59 and 1970-79. Hence, darker
colors on the trend maps indicate relative
deterioration over time and lighter colors
indicate relative improvement.
XVII
-------
Section 3
Technical Notes
A. Area Recedes and Combinations of Counties
Changes in boundaries during the 30 year period made
it necessary to combine counties and cities to have a
defined area which would not change over the period.
When changes in boundaries involve negligible percentage
of the population in the areas, we did not combine the
areas. Virginia with independent cities located outside and
frequently between counties, required the most adjust-
ment. We combined the following areas.
1. Colorado
a. Denver includes Arapahoe County.
2. Georgia
a. Muscogee County includes Chattahoochee County.
3. Montana
a. Park County includes the Montana portion of
Yellowstone National Park.
4. South Dakota
a. Dewey County includes the former Armstrong
County.
b. Jackson County includes the former Washabaugh
County.
5. Virginia-Counties
a. Albemarle County includes Charlottesville.
b. Allegheny County includes Clifton Forge and
Covington.
c. Arlington County includes the city of Falls Church.
d. Augusta County includes the cities of Staunton and
Waynesboro.
e. Bedford County includes Campbell County and the
cities of Lynchburg and Bedford.
f. Carroll County includes Galax City and Grayson
County.
g. Chesterfield County includes the cities of Richmond
and Colonial Heights.
h. Dinwiddie County includes Prince George County
and the cities of Petersburg and Hopewell.
i. Fairfax County includes the cities of Alexandria and
Fairfax.
j. Frederick County includes Winchester City.
k. Greensville County includes the city of Emporia.
I. Halifax County includes the city of South Boston.
m. Henry County includes Martinsville City.
n. James City County includes York and New Kent
Counties, and the cities of Williamsburg and
Poquoson.
o. Montgomery County includes Radford City.
p. Pittsylvania County includes Danville City.
q. Prince William County includes Manassas and
Manassas Park.
r. Roanoke County includes Roanoke and Salem
cities.
s. Rockbridge County includes the cities of Buena
Vista and Lexington.
t. Rockingham County includes Harrisonburg City.
u. Southhampton County includes Franklin City.
v. Spottsylvania County includes Fredericksburg City.
w. Washington County includes Bristol City.
x. Wise County includes Norton City.
6. Virginia-Cities
a. Chesapeake includes the counties of Norfolk and
Princess Anne, and the cities of Norfolk, Ports-
mouth, South Norfolk, and Virginia Beach.
b. Hampton City includes Elizabeth City County.
c. Newport News City includes Warwick.
d. Suffolk City includes Nansemond County.
7. Wisconsin
a. Menominee County includes Oconto and Schwano
Counties.
xviii
-------
8. Wyoming
a. Park County includes Teton County and the
Wyoming portion of Yellowstone National Park.
B. Standard Million Population
Population used is the 1970 U.S. population as shown
below.
United States
Standard Million Population by Age for 1970
Age
Population
All ages 1,000,000
< 5 84,416
5-9 98,204
10-14 102,304
15-19 93,845
20-24 80,561
25-29 66,320
30-34 56,249
35-39 54,656
40-44 58,958
45-49 59,622
50-54 54,643
55-59 49,077
60-64 42,403
65-69 34,406
70-74 26,789
75-79 18,871
80-84 11,241
85+ 7,435
Source: U.S. Bureau of the Census of Population: 1970,
General Population Characteristics, Final Report PC(1)-B
C. Constructing Equivalent Cause of Death
Categories Across Years
The maps in this volume cover 30 years spanning four
editions of the ICD, raising the problem of comparing
periods when different rules of classification of underlying
cause of death were in effect. We did not want to create
artificially increased rates by attributing deaths to a site
specific cancer solely because of a change in classification
rules. To avoid this potential artifact, we developed
comparability codes for translation between the 6th, 7th,
8th, and 9th edition (revision) of the International
Classification of Diseases (see table below).
Several authors have attempted to create equivalencies
between editions of the ICD [32,33]. The National Center
for Health Statistics conducted the most intensive studies
to test comparability by generating comparability ratios.
However, for some cancer sites no absolute equivalence
can ever be achieved. At the level of aggregation we are
using, this should present few problems since whatever
effects remain should apply equally to all counties.
However, users of these maps should keep in mind the
potential problems relating to coding in equivalencies.
Cancer Site Comparability Table
Cancer Site
Oral cavity incl.
tongue
Nasopharynx
Esophagus
Stomach
Large intestine
Rectum
Liver & gall
bladder
including
bile ducts
Pancreas
Larynx
Trachea,
bronchus &
lung, incl.
pleura & other
resp. sites
Bone
including
jaw
Connective
and soft
tissue
Malignant
melanoma of
skin
Non-melanoma
skin cancer
Breast
Cervix uteri
ICD 9
141,143-146,
148,149
147
150
151
153,159.0
1 54 except
154.3
155,156
157
161
162,163,165
170
164.1,171
172
173,154.3
174,175
180
ICDA8
141,143-146,
148,149
147
150
151
153
154
155,156,
197.8
157
161
162,163.0,
163.9
170
171,192.4,
192.5
172
1 73 except
173.5
174
180
ICD 6 & 7
141,143-146,
147,148
147
150
151
153
154
155*
157
161
162,163
196
197,193.3
193.4"
190
191
170
171
xix
-------
Cancer Site Comparability Table
Cancer Site (CD 9 ICDA8 ICD 6* & 7
Chorion, uterus 179,181,182
& uterus not
otherwise
specified
Ovary, fallopian 183
tube & broad
ligament
Prostate
Bladder &
other urinary
organs
185
188,189.3
181,182
183
185
188,189.9
172,173,174
175
177
181
Kidney & ureter
Brain & other
parts of the
nervous
system
Thyroid
gland
Lymphosarcoma
& reticulum
cell sarcoma
including other
lymphoma
Hodgkin's
disease
Multiple
myeloma
Leukemias
Secondary, site
unspecified &
not previously
listed cancers
1 89 except
189.3
191,192
193
159.1,200,
202.0,.!,. 8, .9
201
203 except
203.1
204-208,
202.4,203.1
152,158,
159.2-.9,
164.2-.9.184,
187,195-199,
202. 2, .3, .5, .6
189.0,189.1,
189.2
191,192
except 1 92.4,
192.5
193
200,202
201
203
204-207
152,158,159,
163.1,173.5,
184,187,195,
196.197.0-.7,
197.9,198,199
180
1 93 except
193.3,193.4**
194
200,202,205
201
203
204
152,156,158,
159,164,165,
176,179,198,
199
All cancers
140-208
140-207
140-205
*Code 156, ICD 6 and 7 secondary and unspecified cancers
cannot be separated. For this reason, death rates for 1950-
59 and 1970-79 are not comparable and the comparison should
not be made.
"Code 193, ICD 6 cannot be subdivided. For this reason, deaths
from malignant neoplasm of the brain and other parts of the
nervous system for the years 1950-1957 contain deaths from
malignant neoplasm of peripheral nerves and sympathetic
nervous system.
References
1. National Center for Health Statistics: Advance
report of final mortality statistics, 1984. Monthly
Vital Statistics Report, Vol. 35, No. 6, Supp.(2).
DHHS Pub. No. (PHS) 86-1120. Public Health
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2. Manton, K. G., E. Stallard, M. A. Woodbury, J. P.
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Bayes Procedures for Smoothing Trend Maps of
U.S. Cancer Mortality Rates. J. Amer. Statist.
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3. Toxic Substances Strategy Committee, Toxic
Chemicals and Public ProtectionA Report to the
President. Council on Environmental Quality. U.S.
Govt. Print. Off., Washington D.C., May 1980.
4. Pollack, E. S. and J. W. Horm. Trends in Cancer
Incidence and Mortality in the United States, 1969-
1976. J. Natl. Cancer Inst, 64, 5:1091-1103,
1980.
5. Schottenfeld, D. and J. F. Haas. Carcinogens in
the Work Place. Amer. Cancer Soc., 1978.
6. Shabad, L. M. Circulation of Carcinogenic Poly-
cyclic Aromatic Hydrocarbons in the Human
Environment and Cancer Prevention. J. Natl.
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7. Cederlof, R., R. Doll, B. Fowler, L. Friberg, N.
Nelson, and V. Vouk, editors. Air Pollution and
Cancer: Risk Assessment Methodology and
Epidemiological Evidence. Report of a Task Group.
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8. Mason, T. J. and F. W. McKay. U.S. CANCER
MORTALITY BY COUNTY: 1950 - 1969. DHEW
publication (NIH) 74-615, U.S. Govt. Print. Off.,
Washington DC, 1973.
9. Mason, T. J., F. W. McKay, R. Hoover, W. T. Blot,
and J. F. Fraumeni, Jr. ATLAS OF CANCER
MORTALITY FOR U.S. COUNTIES: 1950 -1969.
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10. Mason, T. J., F. W. McKay, R. Hoover, W. T. Blot,
and J. F. Fraumeni, Jr. ATLAS OF CANCER
MORTALITY AMONG NON-WHITES: 1 950 - 1 969.
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11. Riggan, W. B., J. Van Bruggen, J. F. Acquavella,
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R. N. Hoover. Developing Clues to Environmental
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58, 1979.
13. Pickle, L. J., T. J. Mason, N. Howard, R. Hoover,
and, J. F. Fraumeni, Jr. Atlas of U.S. Cancer
Mortality Among Whites: 1950-1980. Washing-
ton, DC: U.S. Govt. Printing Office. (DHHS
Publication No. (NIH) 87-2900), 1987.
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14. Manton, K. G., E. Stallard, M. A. Woodbury, W.
B. Riggan, J. P. Creason, and T. J. Mason.
Statistically Adjusted Estimates of Geographic
Profiles. J. Natl. Cancer Inst., 78, 5:805-815,1987.
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16. Blot, W. J., B. J. Stone, J. F. Fraumeni, Jr., and
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20. Marcus, S. C. Some Limitations in the Use of
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Volume II - Mortality, Part A. DHHS Publication
-------
-------
U.S. CANCER MORTALITY
RATES AND TRENDS
1950-1979
Volume IV: Maps
-------
All Cancers Combined
White Males: 1950 - 1959
50 60 70 80 90 100
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Males: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Males: 1970 - 1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Males: Relative Change
1960-69: 190.0
1970-79: 204.1
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Females: 1950 - 1959
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Females: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by county
-------
All Cancers Combined
White Females: 1970 -1979
oo
ICD code(s): 140-208
by county
-------
o $% % *,, 1970-79
WVV-%
All Cancers Combined
White Females: Relative Change
rJf!^^4* vfc^s
XP^/y*. 3?\ - Si tl. '&?'
Nadonal Rates
1950-59: 141.6
1960-69: 132.4
1970-79: 131.7
ICD code(s): 140-208
by county
-------
All Cancers Combined
Nonwhite Males: 1950 -1959
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Males: 1960 - 1969
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Non white Males: Relative Change
>> '"; W\sMiX '. fc.s JWrr-f * Wff' '**»?
'V'WV-%
National Rates
1950 - 59: 166.3
1960-69: 209.5
1970-79: 231.6
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Females: 1950 -1959
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Females: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Females: 1970-1979
80 90 100
ICD code(s): 140-208
by state economic area
-------
All Cancers Combined
Nonwhite Females: Relative Change
National Rates
1950 - 59: 142.9
1960-69: 142.3
1970-79: 133.1
ICD code(s): 140-208
by state economic area
-------
00
Cancer of the Lip
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 140
by state economic area
-------
Cancer of the Lip
White Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90
ICD code(s): 140
by state economic area
-------
Cancer of the Lip
White Males: 1970-1979
ICD code(s): 140
by state economic area
-------
Cancer of the Lip
White Males: Relative Change
National Rates
1950-59: 0.5
1960-69: 0.2
1970-79: 0.2
ICD code(s): 140
by state economic area
-------
to
to
Cancer of the Oral Cavity including Tongue
White Males: 1950 -1959
20 30 40 50 60 70 80 90 100
0 10
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
White Males: 1960 - 1969
to
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
White Males: 1970 -1979
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 141,143-146,148,149
by state economic area
-------
to
Cancer of the Oral Cavity including Tongue
White Males: Relative Change
Ml
fe*>V .&:l, 1^1c
National Rates
1950-59: 4.8
1960-69: 4.8
1970 - 79: 4.6
ICDcode(s): 141,143-146,148,149
by state economic area
-------
to
Cancer of the Oral Cavity including Tongue
White Females: 1950 - 1959
0 10 20 30 40 50 60 70
90 100
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
White Females: 1960 -1969
to
-4
90
ICD code(s): 141,143-146,148,149
by state economic area
-------
to
(X
Cancer of the Oral Cavity including Tongue
White Females: 1970 -1979
L-I--I J i i i i i i I i i i i I i i i i 1 i i i i I i i t_ i _ t i i i i I i i i i i i i i i I i t i i i
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
White Females: Relative Change
o >r % % % 1970 - 79
WVV-%
l%0-69: 1.2
1970-79: 1.5
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Males: 1950 -1959
ICDcode(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Males: 1960 -1969
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Males: 1970 -1979
4
^ N^> X
L
0 10 20 30 40 50 60 70 80 90 100
*> * % tr-fe $ % <&"?> -5- « «
'''
ICDcode(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Males: Relative Change
National Rates
1950-59: 4.1
1960-69: 5.4
1970 - 79: 6.5
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Females: 1950-1959
0 10 20 30 40
ICDcode(s): 141,143-146,148,149
by sute economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Females: 1960 -1969
ICD code(s): 141,143-146,148,149
by state economic area
-------
OJ
Cancer of the Oral Cavity including Tongue
Nonwhite Females: 1970 -1979
0 10 20 30 40 SO 60 70
90 100
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Oral Cavity including Tongue
Nonwhite Females: Relative Change
National Rates
1950-59: 1.3
1960-69: 1.4
1970-79: 1.7
ICD code(s): 141,143-146,148,149
by state economic area
-------
Cancer of the Nasopharynx
White Males: 1950 - 1959
OO
50 60 70 80 90 100
ICD code(s): 147
by state economic area
-------
Cancer of the Nasopharynx
White Males: 1960 -1969
0 10 20 30 40 50 60 70
90 100
ICDcode(s): 147
by state economic area
-------
Cancer of the Nasopharynx
White Males: 1970 -1979
ICD code(s): 147
by state economic area
-------
Cancer of the Nasopharynx
White Males: Relative Change
o * *b * *f 1970 - 79
WVV-%
1960-69: 0.4
1970-79: 0.4
ICD code(s): 147
by state economic area
-------
to
Cancer of the Nasopharynx
Nonwhite Males: 1950 - 1959
< -fo i i I i i i i I i i i i I i i i i i i i i i I i > i i i i i i i I i i i i I i i i
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 147
by state economic area
-------
Cancer of the Nasopharynx
Nonwhite Males: 1960 -1969
ICD code(s): 147
by state economic area
-------
Cancer of the Nasopharynx
Nonwhite Males: 1970 - 1979
I I I I I I I I I I I I I ' ' I I I I I I I r I I I I I I I I I I I I I I I I I I I I
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 147
by state economic area
-------
Cancer of the Nasopharynx
Nonwhite Males: Relative Change
National Rates
1950-59: 0.5
1960-69: 0.6
1970-79: 0.6
ICD code(s): 147
by state economic area
-------
Cancer of the Esophagus
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
White Males: 1960 -1969
80 90 100
ICDcode(s):150
by state economic area
-------
Cancer of the Esophagus
White Males: 1970 -1979
oo
ICD code(s): 150
by sute economic area
-------
Cancer of the Esophagus
White Males: Relative Change
1960 - 69: 4.3
1970-79: 4.4
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
White Females: 1950 -1959
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
White Females: 1960 -1969
\rv<* \
^
0 10 20 30 40 SO 60 70 80 90 100
V**"»'*'* -V * *
ICDcode(s):150
by state economic area
-------
Cancer of the Esophagus
White Females: 1970 -1979
'* 'VV*
0 10 20 30 40 50 60 70 80 90 100
%'&*-&%<&* &«&
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
White Females: Relative Change
National Rates
1950-59: 1.1
1960-69: 1.1
1970-79: 1.2
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
Nonwhite Males: 1950 -1959
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
Nonwhite Males: 1960 - 1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
Nonwhite Males: 1970 -1979
Ul
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
Nonwhite Males: Relative Change
National Rates
1950 - 59: 8.0
1960 - 69: 10.9
1970-79: 12.3
ICDcode(s):150
by state economic area
-------
00
Cancer of the Esophagus
Nonwhite Females: 1950 -1959
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 150
by state economic area
-------
Ol
Cancer of the Esophagus
Nonwhite Females: 1960 -1969
80 90 100
ICD code(s): 150
by state economic area
-------
Cancer of the Esophagus
Nonwhite Females: 1970 -1979
ICD code(s): 150
by slate economic area
-------
Cancer of the Esophagus
Nonwhite Females: Relative Change
1960-69: 2.5
1970-79: 3.0
ICD code(s): 150
by state economic area
-------
Cancer of the Stomach
White Males: 1950 -1959
o\
NJ
ICDcode(s):151
by county
-------
Cancer of the Stomach
White Males: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICDcode(s):151
by county
-------
Cancer of the Stomach
White Males: 1970 - 1979
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 151
by county
-------
Cancer of the Stomach
White Males: Relative Change
1960 - 69: 13.2
1970-79: 9.0
ICDcode(s):151
by county
-------
OS
OS
Cancer of the Stomach
White Females: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 151
by county
-------
Cancer of the Stomach
White Females: 1960 -1969
10
20 30 40 50 60 70 80 90 100
ICD code(s): 151
by county
-------
Cancer of the Stomach
White Females: 1970 - 1979
ON
00
ICDcode(s):151
by county
-------
Cancer of the Stomach
White Females: Relative Change
-;.A^
National Rates
1950 - 59: 10.7
1960-69: 6.7
1970-79: 4.3
IC0code(s): 151
by county
-------
Cancer of the Stomach
Nonwhite Males: 1950 -1959
ICD code(s): 151
by state economic area
-------
Cancer of the Stomach
Nonwhite Males: 1960 -1969
ICDcode(s):151
by state economic area
-------
Cancer of the Stomach
Nonwhite Males: 1970 -1979
to
ICD code(s): 151
by state economic area
-------
Cancer of the Stomach
Nonwhite Males: Relative Change
LVSa*
National Rates
1950 - 59: 28.0
1960-69: 23.1
1970-79: 15.8
ICD code(s): 151
by state economic area
-------
-J
-p..
Cancer of the Stomach
Nonwhite Females: 1950 -1959
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 151
by state economic area
-------
Cancer of the Stomach
Nonwhite Females: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 151
by state economic area
-------
Cancer of the Stomach
Nonwhite Females: 1970 -1979
ICD code(s): 151
by state ecpnomic area
-------
-0
-J
Cancer of the Stomach
Nonwhite Females: Relative Change
National Rates
1950-59: 13.2
1960-69: 10.0
1970-79: 6.9
ICD code(s): 151
by state economic area
-------
00
Cancer of the Large Intestine
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 153,159.0
by county
-------
Cancer of the Large Intestine
White Males: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 153,159.0
by county
-------
Cancer of the Large Intestine
White Males: 1970 -1979
00
o
ICD code(s): 153,159.0
by county
-------
00
Cancer of the Large Intestine
White Males: Relative Change
National Rates
1950-59: 17.1
1960 - 69: 18.3
1970-79: 20.0
ICD code(s): 153,159.0
by county
-------
Cancer of the Large Intestine
White Females: 1950 -1959
oo
to
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 153,159.0
by county
-------
00
Cancer of the Large Intestine
White Females: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 153,159.0
by county
-------
Cancer of the Large Intestine
White Females: 1970 -1979
oo
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 153,159.0
by county
-------
00
Ul
Cancer of the Large Intestine
White Females: Relative Change
National Rates
1950-59: 18.0
1960-69: 17.1
1970-79: 16.4
ICDcode(s): 153,159.0
by county
-------
oo
Cancer of the Large Intestine
Nonwhite Males: 1950 -1959
'*'*'*'*'»'*'*'*'*'>'*'**
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 153,159.0
by state economic area
-------
00
-J
Cancer of the Large Intestine
Nonwhite Males: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 153,159.0
by state economic area
-------
oo
00
Cancer of the Large Intestine
Nonwhite Males: 1970 -1979
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 153,159.0
by state economic area
-------
oo
Cancer of the Large Intestine
Non white Males: Relative Change
National Rates
1950 - 59: 10.8
1960 - 69: 14.0
1970-79: 16.2
ICDcode(s): 153,159.0
by state economic area
-------
Cancer of the Large Intestine
Nonwhite Females: 1950 -1959
ICD code(s): 153,159.0
by state economic area
-------
Cancer of the Large Intestine
Nonwhite Females: 1960-1969
w^
-;
'V-4 >%*%-5>
-------
Cancer of the Large Intestine
Nonwhite Females: 1970 -1979
to
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 153,159.0
by state economic area
-------
VO
OJ
Cancer of the Large Intestine
Nonwhite Females: Relative Change
^SSir* W ? ^m^-^zasmFWm*
-i- W ^^fip^P
,t*J- ^'x.tTflv .,
s^ M*,v«*iL*': " '-^/feJ>' - >*&
National Rates
1950 - 59: 12.0
1960-69: 14.1
1970 - 79: 14.9
ICD code(s): 153,159.0
by state economic area
-------
Cancer of the Rectum
White Males: 1950 -1959
ICD code(s): 154 (except 154.3)
by county
-------
vo
Cancer of the Rectum
White Males: 1960 -1969
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of the Rectum
White Males: 1970 - 1979
ON
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of the Rectum
White Males: Relative Change
1960 - 69: 7.5
1970-79: 5.8
ICD code(s): 154 (except 154.3)
by county
-------
00
Cancer of the Rectum
White Females: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of the Rectum
White Females: 1960 -1969
70 80 90 100
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of die Rectum
White Females: 1970 - 1979
90 100
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of the Rectum
White Females: Relative Change
1960 - 69: 4.6
1970-79: 3.4
ICD code(s): 154 (except 154.3)
by county
-------
Cancer of the Rectum
Nonwhite Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Males: 1960 -1969
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Males: Relative Change
National Rates
1950 - 59: 6.1
1960-69: 5.8
1970-79: 5.0
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Females: 1950 - 1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by sute economic area
-------
Cancer of the Rectum
Nonwhite Females: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Females: 1970 -1979
o
oo
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Rectum
Nonwhite Females: Relative Change
National Rates
1950-59: 5.1
1960 - 69: 4.3
1970-79: 3.2
ICD code(s): 154 (except 154.3)
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Males: 1950 -1959
L
* % t»-«>-a-«<&-&-a-« «
'"''
0 10 20 30 40 SO 60 70 80 98 100
ICD code(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Males: 1960 -1969
ICDcode(s):155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Males: 1970 -1979
10 20 30 40 50 60 70 80 90 100
ICD code(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Males: Relative Change
1960 - 69: 3.7
1970 - 79: 4.6
ICDcode(s):155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Females: 1950 -1959
SO 60 70 80 90 100
ICDcode(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Females: 1960 -1969
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Females: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
White Females: Relative Change
National Rates
1950-59: 4.2
1960-69: 3.9
1970 - 79: 3.8
ICD code(s): 155,156
by county
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Males: 1950 -1959
00
10 20 30 40 50 60 70 80 90 100
ICD code(s): 155,156
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Males: 1960 -1969
11 I I I .III. I I 11 I 11 I I I I
0 10 20 30 40 SO 60 70 80 90 100
ICD code(s): 155,156
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s):155,156
by stale economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Males: Relative Change
National Rates
1950 - 59: 3.0
1960-69: 5.1
1970-79: 6.9
ICD code(s): 155,156
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Females: 1950 -1959
to
ICDcode(s): 155,156
by state economic area
-------
N)
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Females: 1960 - 1969
0 10 20 30 40 50 60 70
90 100
ICD code(s): 155,156
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Females: 1970 -1979
ICDcode(s):155,156
by state economic area
-------
Cancer of the Liver and Gallbladder including Bile Ducts
Nonwhite Females: Relative Change
National Rates
1950 - 59: 2.4
1960-69: 3.1
1970 - 79: 3.7
ICD code(s): 155,156
by state economic area
-------
to
Cancer of the Pancreas
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICDcode(s):157
by county
-------
N>
-J
Cancer of the Pancreas
White Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 157
by county
-------
S)
oo
Cancer of the Pancreas
White Males: 1970 - 1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 157
by county
-------
Cancer of the Pancreas
White Males: Relative Change
National Rates
1950 - 59: 9.3
1960 - 69: 10.9
1970-79: 10.9
ICDcode(s):157
by county
-------
Cancer of the Pancreas
White Females: 1950 -1959
0 102030405060708090100
ICDcode(s):157
by county
-------
Cancer of the Pancreas
White Females: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 157
by county
-------
Cancer of the Pancreas
White Females: 1970 - 1979
I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I . I I I I I . I I I I I I I I
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 157
by county
-------
Cancer of the Pancreas
White Females: Relative Change
National Rates
1950 - 59: 5.9
1960 - 69: 6.5
1970-79: 6.7
ICDcode(s):157
by county
-------
Cancer of the Pancreas
Nonwhite Males: 1950 - 1959
20 30 40 50 60 70 80 90
ICD code(s): 157
by sute economic area
-------
Cancer of the Pancreas
Nonwhite Males: 1960 -1969
LO
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Males: 1970 -1979
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Males: Relative Change
National Rates
1950 - 59: 8.6
1960-69: 11.9
1970-79: 11.8
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Females: 1950 -1959
00
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Females: 1960 -1969
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Females: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 157
by state economic area
-------
Cancer of the Pancreas
Nonwhite Females: Relative Change
National Rates
1950-59: 5.2
1960-69: 7.2
1970-79: 7.7
ICD code(s): 157
by state economic area
-------
Cancer of the Larynx
White Males: 1950 -1959
to
ICDcode(s):161
by state economic area
-------
Cancer of the Larynx
White Males: 1960 -1969
UJ
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Males: 1970 - 1979
10 20 30 40 50 60 70 80 90 100
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Males: Relative Change
1960-69: 2.7
1970-79: 2.7
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Females: 1950 -1959
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Females: 1960 -1969
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Females: 1970 -1979
00
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
White Females: Relative Change
1960-69: 0.3
1970-79: 0.4
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
Nonwhite Males: 1950 -1959
ICDcode(s):161
by state economic area
-------
Cancer of the Larynx
Nonwhite Males: 1960 -1969
ICD code(s): 161
by sute economic area
-------
Cancer of the Larynx
Nonwhite Males: 1970 - 1979
K>
ICD code(s): 161
by state economic area
-------
Cancer of the Larynx
Non white Males: Relative Change
1960-69: 3.1
1970-79: 3.7
ICD code(s): 161
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Males: 1950 -1959
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Males: 1960-1969
0 102030405060708090100
ICD code(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Males: 1970 - 1979
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Males: Relative Change
1960-69: 46.8
1970-79: 64.0
ICD code(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Females: 1950 -1959
OO
I 111 111 111 11 I I 11111 I I
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Females: 1960 -1969
%> tr *-0-,
',$.'*' V »'*'*'*' *" -V' *'V
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Females: 1970 - 1979
ICD code(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
White Females: Relative Change
National Rates
1950-59: 5.1
1960 - 69: 7.6
1970-79: 15.3
ICD code(s): 162,163,165
by county
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Males: 1950 -1959
ON
NJ
16 20 30 40 50 60 70 80 90 100
ICDcode(s): 162.163,165
by stale economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 162,163,165
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Males: 1970 - 1979
ICDcode(s): 162,163,165
by state economic area
-------
0\
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Males: Relative Change
National Rates
1950-59: 24.1
1960 - 69: 47.4
1970-79: 68.6
ICD code(s): 162,163,165
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Females: 1950 - 1959
70 80 90 100
ICDcode(s): 162,163,165
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Females: 1960-1969
0 10 20 30 40 50 60 70
90 100
ICD code(s): 162,163,165
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Females: 1970 -1979
oo
ICDcode(s): 162,163,165
by state economic area
-------
Cancer of the Trachea, Bronchus and Lung including Pleura and Other Respiratory Sites
Nonwhite Females: Relative Change
National Rates
1950 - 59: 4.7
1960 - 69: 7.5
1970-79: 13.5
ICD code(s): 162,163,165
by state economic area
-------
Connective and Soft Tissue Cancer
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 164.1,171
by state economic area
-------
Connective and Soft Tissue Cancer
White Males: 1960-1969
'&'*'*'*'*' V»'-V"*"*'"V*V
ICD code(s): 164.1,171
by state economic area
-------
to
Connective and Soft Tissue Cancer
White Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 164.1,171
by state economic area
-------
-J
u>
Connective and Soft Tissue Cancer
White Males: Relative Change
1960-69: 1.0
1970-79: 1.1
ICD code(s): 164.1,171
by state economic area
-------
Cancer of the Bone including Jaw
White Males: 1950 -1959
0 10 20 30 40 50 60 70
90 100
ICD code(s): 170
by state economic area
-------
Cancer of the Bone including Jaw
White Males: 1960 -1969
0 10 20 30 40 50 60 70
90 100
ICD code(s): 170
by state economic area
-------
Cancer of the Bone including Jaw
White Males: 1970 - 1979
10 20 30 40
50
A
60 70
90 100
* 'o -4- % ** -fr % « -fc -3- « «
'''' ''
ICD code(s): 170
by state economic area
-------
-J
-J
Cancer of the Bone including Jaw
White Males: Relative Change
National Rates
1950-59: 1.7
1960-69: 1.2
1970-79: 1.0
ICD code(s): 170
by state economic area
-------
00
Cancer of the Bone including Jaw
White Females: 1950 -1959
60 70 80 90 100
ICD code(s): 170
by state economic area
-------
Cancer of the Bone including Jaw
White Females: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICD code(s): 170
by state economic area
-------
Cancer of the Bone including Jaw
White Females: 1970 -1979
00
o
ICD code(s): 170
by state economic area
-------
oo
Cancer of the Bone including Jaw
White Females: Relative Change
OM; *m
*?Afi*?53
National Rates
1950-59: 1.1
1960 - 69: 0.8
1970-79: 0.6
ICD code(s): 170
by state economic area
-------
oo
10
Malignant Melanoma of Skin
White Males: 1950 -1959
10 2030 40 50 «0 TO 80 90 100
ICD code(s): 172
by state economic area
-------
Malignant Melanoma of Skin
White Males: 1960-1969
oo
ICD code(s): 172
by state economic area
-------
oo
Malignant Melanoma of Skin
White Males: 1970 -1979
30 40 SO 60 70 80 90 100
ICD code(s): 172
by state economic area
-------
00
Malignant Melanoma of Skin
White Males: Relative Change
National Rates
1950-59: 1.3
1960-69: 1.8
1970-79: 2.4
ICD code(s): 172
by state economic area
-------
Malignant Melanoma of Skin
White Females: 1950 - 1959
00
ICD code(s): 172
by state economic area
-------
Malignant Melanoma of Skin
White Females: 1960 -1969
oo
-J
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 172
by state economic area
-------
oo
oo
Malignant Melanoma of Skin
White Females: 1970 - 1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 172
by state economic area
-------
oo
Malignant Melanoma of Skin
White Females: Relative Change
1950 - 59
o. -&%% *f 1970-79
WVV-%
National Rates
1950-59: 1.0
1960-69: 1.2
1970-79: 1.5
ICD code(s): 172
by state economic area
-------
Non Melanoma Skin Cancer
White Males: 1950 -1959
0 10 20 30 40 SO 60 70
90 100
ICDcode(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Males: 1970 -1979
to
90 100
ICDcode(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Males: Relative Change
National Rates
1950 - 59: 2.0
1960-69: 1.5
1970-79: 1.0
ICD code(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Females: 1950 - 1959
50 60 70 80 90 100
ICD code(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Females: 1960 -1969
ICD code(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Females: 1970 - 1979
*r-fc-0-<&<&& >)«<&
''
10
20
40
50
A
60
70
90 100
ICD code(s): 173,154.3
by state economic area
-------
Non Melanoma Skin Cancer
White Females: Relative Change
%WV<- .& ^SCCv? *v y t .. ^T~W-
National Rates
1950-59: 1.1
1960-69: 0.6
1970-79: 0.4
ICD code(s): 173,154.3
by state economic area
-------
Cancer of the Breast
White Females: 1950 -1959
OO
10 20 30 40 50 60 70 80 90 100
ICD code(s)i 174,175
by county
-------
Cancer of the Breast
White Females: 1960 -1969
11 I 11 [ I
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 174,175
by county
-------
Cancer of the Breast
White Females: 1970 - 1979
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 174,175
by county
-------
N)
O
Cancer of the Breast
White Females: Relative Change
National Rates
1950 - 59: 26.3
1960-69: 26.4
1970-79: 27.0
ICDcode(s): 174,175
by county
-------
Cancer of the Breast
White Males: 1950 -1959
to
ICDcode(s): 174,175
by state economic area
-------
Cancer of the Breast
White Males: 1960 -1969
-fc-4-% tr-fc-fr «<5-* ^ « «
'*'*'*»'*'*'*'»'*'»'*
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 174,175
by state economic area
-------
Cancer of the Breast
White Males: 1970 -1979
ICD code(s): 174,175
by state economic area
-------
Cancer of the Breast
White Males: Relative Change
6TV
* $ * 7 * - -T^mc% * fv>hz%&*
\Z* I ** : vk,.ml/x"\fe«a
t V * ' #f Vt 1 J*-'' ,' ' «SSB; jJKf.
i> y / X% W5:«^:lfig
National Rates
1950-59: 0.3
1960 - 69: 0.3
1970-79: 0.3
ICDcode(s): 174,175
by state economic area
-------
Cancer of the Breast
Nonwhite Females: 1950 -1959
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 174,175
by state economic area
-------
Cancer of the Breast
Nonwhite Females: 1960 -1969
ICD code(s): 174,175
by state economic area
-------
Cancer of the Breast
Nonwhite Females: 1970 -1979
S)
o
00
ICD code(s): 174,175
by state economic area
-------
Cancer of the Breast
Nonwhite Females: Relative Change
National Rates
1950-59: 21.3
1960-69: 23.2
1970-79: 22.5
ICD code(s): 174,175
by state economic area
-------
O
Cancer of the Chorion and Uterus
White Females: 1950 - 1959
10 20 30 40 50 60 70 80 90 100
ICDcode(s): 179,181,182
by county
-------
Cancer of the Chorion and Uterus
White Females: 1960 - 1969
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 179,181,182
by county
-------
Cancer of the Chorion and Uterus
White Females: 1970 -1979
to
t1
to
10 20 30 40 SO 60 70 80 90
ICD code(s): 179,181,182
by county
-------
to
Cancer of the Chorion and Uterus
White Females: Relative Change
National Rates
1950 - 59: 7.8
1960 - 69: 5.4
1970-79: 4.3
ICDcode(s): 179.181,182
by county
-------
Cancer of the Chorion and Uterus
Nonwhite Females: 1950 -1959
to
ICDcode(s): 179,181,182
by state economic area
-------
Cancer of the Chorion and Uterus
Nonwhite Females: 1960 -1969
to
80 90 100
ICDcode(s): 179,181,182
by state economic area
-------
Cancer of the Chorion and Uterus
Nonwhite Females: 1970 - 1979
to
tt
o\
ICDcode(s): 179,181,182
by state economic area
-------
N)
t*
-J
Cancer of the Chorion and Uterus
Nonwhite Females: Relative Change
1960 - 69: 9.4
1970 - 79: 6.5
ICDcode(s): 179,181,182
by state economic area
-------
Cancer of the Cervix Uteri
White Females: 1950 -1959
to
K-*
oo
*&*> * * tr-fe &% <& -fc -i-««
'''
ICD code(s): 180
by county
-------
Cancer of the Cervix Uteri
White Females: 1960 - 1969
K)
ICD code(s): 180
by county
-------
to
to
Cancer of the Cervix Uteri
White Females: 1970 - 1979
ICDcode(s):180
by county
-------
to
Cancer of the Cervix Uteri
White Females: Relative Change
National Rates
1950-59: 9.1
1960-69: 6.9
1970-79: 4.2
ICDcode(s):180
by county
-------
to
Cancer of the Cervix Uteri
Nonwhite Females: 1950- 1959
ICDcode(s):180
by state economic area
-------
Cancer of the Cervix Uteri
Nonwhite Females: 1960 -1969
to
NJ
00
90 100
ICD code(s): 180
by state economic area
-------
Cancer of the Cervix Uteri
Nonwhite Females: 1970 - 1979
to
ICDcode(s):180
by state economic area
-------
S)
to
Cancer of the Cervix Uteri
Nonwhite Females: Relative Change
National Rates
1950-59: 21.2
1960 - 69: 17.3
1970-79: 10.2
ICDcode(s):180
by state economic area
-------
Cancer of the Ovary, Fallopian Tube and Broad Ligament
White Females: 1950 -1959
ON
10 20 30 40 50 60 70 80 90 100
ICDcode(s):183
by county
-------
Cancer of the Ovary, Fallopian Tube and Broad Ligament
White Females: 1960 -1969
to
to
-J
10 20 30 40 50 60 70 80 90 100
ICD code(s): 183
by county
-------
Cancer of the Ovary, Fallopian Tube and Broad Ligament
White Females: 1970 - 1979
to
K>
oo
30 40 50 60 70 80
90 100
ICD code(s): 183
by county
-------
N>
Cancer of the Ovary, Fallopian Tube and Broad Ligament
White Females: Relative Change
o &%%% 1970 - 79
'V'WV-%
National Rates
1950-59: 8.6
1960 - 69: 8.9
1970-79: 8.8
ICDcode(s):183
by county
-------
to
u>
o
Cancer of the Ovary, Fallopian Tube and Broad Ligament
Nonwhite Females: 1950-1959
10 20 30 40 50 60 70 80 90 100
ICDcode(s):183
by state economic area
-------
Cancer of the Ovary, Fallopian Tube and Broad Ligament
Nonwhite Females: 1960-1969
90 100
.
>»*'*'*'-*'*'*'»*'»"'*"« -V4*
ICDcode(s):183
by state economic area
-------
Cancer of the Ovary, Fallopian Tube and Broad Ligament
Nonwhite Females: 1970 -1979
N)
ICDcode(s):183
by state economic area
-------
S)
u>
us
Cancer of the Ovary, Fallopian Tube and Broad Ligament
Nonwhite Females: Relative Change
National Rates
1950 - 59: 5.9
1960-69: 6.9
1970-79: 6.3
ICDcode(s): 183
by state economic area
-------
Cancer of the Prostate
White Males: 1950 -1959
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s):185
by county
-------
Cancer of the Prostate
White Males: 1960-1969
SO 60 TO 80 90 100
0 10 20 30 40
ICDcode(s):185
by county
-------
Cancer of the Prostate
White Males: 1970 -1979
to
OJ
ICDcode(s):185
by county
-------
to
V>J
-J
Cancer of the Prostate
White Males: Relative Change
National Rates
1950-59: 20.7
1960-69: 19.7
1970-79: 20.3
ICD code(s): 185
by county
-------
Cancer of the Prostate
Nonwhite Males: 1950 - 1959
00
ICDcode(s):185
by state economic area
-------
Cancer of the Prostate
Nonwhite Males: 1960 -1969
to
u>
10 20 30 4050 60 70 80 90 100
ICD code(s): 185
by state economic area
-------
Cancer of the Prostate
Nonwhite Males: 1970 -1979
50 60 70 80 90 100
ICD code(s): 185
by state economic area
-------
Cancer of the Prostate
Nonwhite Males: Relative Change
tfSSSSK1' Cv'wf S$' w-J- -«v * f f v ! * X XV"- 4iv*< * ^*^
^Ni-h^BE
National Rates
1950-59: 26.5
1960-69: 31.9
1970-79: 34.3
ICDcode(s): 185
by state economic area
-------
to
Cancer of the Testis
White Males: 1950 -1959
0 10 TO 30 40 50 60 70
90 100
ICDcode(s):186
by sute economic area
-------
Cancer of the Testis
White Males: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICDcode(s):186
by state economic area
-------
Cancer of the Testis
White Males: 1970 -1979
K)
ICD code(s): 186
by state economic area
-------
to
Cancer of the Testis
White Males: Relative Change
National Rates
1950 - 59: 0.9
1960-69: 0.8
1970-79: 0.7
ICD code(s): 186
by state economic area
-------
Is)
Cancer of the Bladder and other Urinary Organs
White Males: 1950 - 1959
10 20 30 40 SO 60 70 80 90 100
ICDcode(s): 188,189.3
by county
-------
Cancer of the Bladder and other Urinary Organs
White Males: 1960 -1969
40 50 60 70 80 90 100
ICDcode(s): 188,189.3
by county
-------
00
Cancer of the Bladder and other Urinary Organs
White Males: 1970 - 1979
10-20 30 40 SO 60 70 80 90 100
ICD code(s): 188,189.3
by county
-------
vo
Cancer of the Bladder and other Urinary Organs
White Males: Relative Change
1960-69: 7.3
1970-79: 7.3
ICDcode(s): 188,189.3
by county
-------
to
u\
o
Cancer of the Bladder and other Urinary Organs
White Females: 1950 -1959
%*"fc-fr «<&*&««
''
0 10 20 30 40 SO 60 70 80 90 100
ICDcode(s): 188,189.3
by county
-------
to
Cancer of the Bladder and other Urinary Organs
White Females: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 188,189.3
by county
-------
to
Cancer of the Bladder and other Urinary Organs
White Females: 1970 - 1979
ICD code(s): 188,189.3
by county
-------
Cancer of the Bladder and other Urinary Organs
White Females: Relative Change
1960-69: 2.4
1970 - 79: 2.1
ICD code(s): 188,189.3
by county
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Males: 1950 -1959
ICDcode(s): 188,189.3
by state economic area
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Males: 1960 -1969
to
ICDcode(s): 188,189.3
by state economic area
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Males: 1970 - 1979
ICDcode(s): 188,189.3
by state economic area
-------
to
t/l
-J
Cancer of the Bladder and other Urinary Organs
Nonwhite Males: Relative Change
I960 - 69: 5.5
1970-79: 5.3
ICDcode(s): 188.189.3
by state economic area
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Females: 1950 -1959
to
u<
00
ICDcode(s): 188,189.3
by state economic area
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Females: 1960-1969
to
10 20 30 40 50 60 70 80 90 100
ICD code(s): 188,189.3
by state economic area
-------
Cancer of the Bladder and other Urinary Organs
Nonwhite Females: 1970 -1979
ICD code(s): 188,189.3
by state economic area
-------
ON
Cancer of the Bladder and other Urinary Organs
Nonwhite Females: Relative Change
' i,"' **'4&^\£**'$&-\
-^
National Rates
1950-59: 3.1
1960 - 69: 3.2
1970-79: 2.7
ICDcode(s): 188,189.3
by state economic area
-------
to
Cancer of the Kidney and Ureter
White Males: 1950 - 1959
0 10 20 30 40 50 60 70
90 100
ICD code(s): 189 (except 189.3)
by county
-------
to
o\
OJ
Cancer of the Kidney and Ureter
White Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by county
-------
to
Cancer of the Kidney and Ureter
White Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by county
-------
OS
Cancer of the Kidney and Ureter
White Males: Relative Change
1960-69: 4.2
1970-79: 4.6
ICD code(s): 189 (except 189.3)
by county
-------
to
Cancer of the Kidney and Ureter
White Females: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by county
-------
ON
Cancer of the Kidney and Ureter
White Females: 1960 -1969
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by county
-------
to
o\
oo
Cancer of the Kidney and Ureter
White Females: 1970 -1979
I I I I I I I I I ' I ' I I I I I I I I I I I I I I I I I I I I I
0 10 20. 30 40 50 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by county
-------
to
o\
Cancer of the Kidney and Ureter
White Females: Relative Change
National Rates
1950 - 59: 2.0
1960-69: 2.1
1970-79: 2.1
ICD code(s): 189 (except 189.3)
by county
-------
Cancer of the Kidney and Ureter
Nonwhite Males: 1950 -1959
*s
. ...ill
ll
0.1
0 10 20 30 40 50 60 70 80 90 100
'V'i'-V-i'V »'«V*V»'V 4V
ICD code(s): 189 (except 189.3)
by state economic area
-------
to
Cancer of the Kidney and Ureter
Nonwhite Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 189 (except 189.3)
by state economic area
-------
Cancer of the Kidney and Ureter
Nonwhite Males: 1970 -1979
K)
ICD code(s): 189 (except 189.3)
by state economic area
-------
to
Cancer of the Kidney and Ureter
Nonwhite Males: Relative Change
1960-69: 3.0
1970-79: 3.2
ICD code(s): 189 (except 189.3)
by state economic area
-------
to
Cancer of the Brain and other parts of the Nervous System
White Males: 1950 -1959
ICDcode(s): 191,192
by county
-------
Cancer of the Brain and other parts of the Nervous System
White Males: 1960 -1969
to
-J
,111 i i
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 191,192
by county
-------
Cancer of the Brain and other parts of the Nervous System
White Males: 1970 -1979
O\
'i'-V-iV'i>W'-J.'-3>V
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s):191,192
by county
-------
to
Cancer of the Brain and other parts of the Nervous System
White Males: Relative Change
National Rates
1950 - 59: 4.0
1960-69: 4.4
1970-79: 4.9
ICDcode(s): 191,192
by county
-------
Cancer of the Brain and other parts of the Nervous System
White Females: 1950 -1959
oo
0 10 20 30 40 50 60 70
90 100
ICDcode(s): 191,192
by county
-------
Cancer of the Brain and other parts of the Nervous System
White Females: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 191,192
by county
-------
to
oo
Cancer of the Brain and other parts of the Nervous System
White Females: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 191,192
by county
-------
oo
Cancer of the Brain and other parts of the Nervous System
White Females: Relative Change
1960 - 69: 2.9
1970-79: 3.3
ICD code(s): 191,192
by county
-------
to
(X
to
Cancer of the Brain and other parts of the Nervous System
Nonwhite Males: 1950 - 1959
I I 11 1111 111 I I I 11 ' ' 11 I 1111 I
0 10 20 30 40 50 60 70 80 90 100
ICDcode(s): 191,192
by state economic area
-------
oo
Cancer of the Brain and other parts of the Nervous System
Nonwhite Males: 1960 -1969
ICDcode(s): 191,192
by state economic area
-------
Cancer of the Brain and other parts of the Nervous System
Nonwhite Males: 1970 - 1979
oo
ICDcode(s): 191,192
by state economic area
-------
to
-------
00
Cancer of the Brain and other parts of the Nervous System
Nonwhite Females: 1950- 1959
ICDcode(s): 191,192
by state economic area
-------
Cancer of the Brain and other parts of the Nervous System
Nonwhite Females: 1960 -1969
to
oo
-J
ICD code(s): 191,192
by state economic area
-------
Cancer of the Brain and other parts of the Nervous System
Nonwhite Females: 1970 -1979
K)
oo
oo
ICDcode(s): 191,192
by state economic area
-------
N>
oo
Cancer of the Brain and other parts of the Nervous System
Nonwhite Females: Relative Change
1960-69: 1.5
1970-79: 1.6
ICDcode(s):191,192
by state economic area
-------
Cancer of the Thyroid Gland
White Males: 1950 -1959
to
*>£>
O
0 10 20 30 40 50 60 70
ICD code(s): 193
by state economic area
-------
to
Cancer of the Thyroid Gland
White Males: 1960 -1969
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 193
by state economic area
-------
Cancer of the Thyroid Gland
White Males: 1970 -1979
to
vO
to
ICD code(s): 193
by state economic area
-------
to
'V '
Cancer of the Thyroid Gland
White Males: Relative Change
National Rates
1950-59: 0.5
1960-69: 0.4
1970-79: 0.4
ICD code(s): 195
by state economic area
-------
Cancer of the Thyroid Gland
White Females: 1950 -1959
A
^ v«*%
I I I I I I I I I I I I I I , I !
0 10 20 30
50 60 70 80 90 100
ICD code(s): 193
by state economic area
-------
Cancer of the Thyroid Gland
White Females: 1960 -1969
to
<>£>
It
0 10 20 30 40 SO 60 70 80 90 100
ICD code(s): 193
by state economic area
-------
to
v£>
O\
Cancer of the Thyroid Gland
White Females: 1970 -1979
I I I I I I I I I I I I I I I 11 I I I I I I I I I I I I I I I I . I I
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 193
by state economic area
-------
K>
\O
Cancer of the Thyroid Gland
White Females: Relative Change
National Rates
1950-59: 0.8
1960-69: 0.7
1970-79: 0.5
ICD code(s): 193
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Males: 1950 -1959
00
ICD code(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Males: 1960 -1969
VO
ICD code(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Males: 1970 -1979
o
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ICD code(s): 159.1,200,202.0,. 1..8..9
by state economic area
-------
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Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Males: Relative Change
National Rates
1950 - 59: 4.4
1960 - 69: 5.6
1970 - 79: 6.0
ICD code(s): 159.1,200,202.0,. 1..8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Females: 1950 - 1959
8
ICDcode(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Females: 1960 -1969
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10 20 30 40 50 60 70 80 90 100
ICDcode(s): 159.1,200^02.0,-1-8..9
by sute economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Females: 1970 - 1979
80 90 100
ICD code(s): 159.1,200,202.0,-1..8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
White Females: Relative Change
o * % *r sf 1970 - 79
"WVV-%
National Rates
1950 - 59: 2.9
1960-69: 3.7
1970-79: 4.1
ICD code(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Males: 1950 -1959
o
ON
ICDcode(s): 159.1,200,202.0,-1.-8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Males: 1960 -1969
ICDcode(s): 159.1,200^02.0,-1.-8.-9
by state economic area
-------
O
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Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Males: 1970 -1979
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Males: Relative Change
1960-69: 3.8
1970-79: 3.8
ICDcode(s): 159.1,200,202.0,. 1..8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Females: 1950 -1959
ICDcode(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Females: 1960-1969
ICDcode(s): 159.1,200^02.0,. 1..8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Females: 1970 -1979
N>
ICDcode(s): 159.1,200,202.0,. 1..8..9
by state economic area
-------
Lymphosarcoma and Reticulum Cell Sarcoma including other Lymphomas
Nonwhite Females: Relative Change
o ->r% * * 1970-79
"WVV-%
1960-69: 2.1
1970-79: 2.2
ICDcode(s): 159.1,200,202.0,.1,.8,.9
by state economic area
-------
Hodgkin's Disease
White Males: 1950-1959
10203040S06070M90100
ICD code(8): 201
by state economic area
-------
Hodgkin's Disease
White Males: 1960-1969
102030405060708090100
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Males: 1970 -1979
ON
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Males: Relative Change
National Rates
1950 - 59: 2.3
1960-69: 2.3
1970-79: 1.6
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Females: 1950 -1959
oo
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Females: 1960 -1969
50 60 70 80 90 100
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Females: 1970-1979
10 20 30 40 50 60
90 100
ICD code(s): 201
by state economic area
-------
Hodgkin's Disease
White Females: Relative Change
National Rates
1950-59: 1.3
1960-69: 1.4
1970-79: 1.0
ICD code(s): 201
by state economic area
-------
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Multiple Myeloma
White Males: 1950 - 1959
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 203 (except 203.1)
by state economic area
-------
NJ
Multiple Myeloma
White Males: 1960 -1969
SO 60 7080 90 100
ICD code(s): 203 (except 203.1)
by stale economic area
-------
Multiple Myeloma
White Males: 1970 -1979
to
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
White Males: Relative Change
' -* - * v - V
, V- ;- V- <'-.V
National Rates
1950-59: 1.5
1960-69: 2.1
1970-79: 2.7
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
White Females: 1950 -1959
N>
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ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
White Females: 1960 -1969
ICD codc(s): 203 (cxcqjl 203.1)
by state economic area
-------
Multiple Myeloma
White Females: 1970 -1979
K)
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ICD code(s): 203 (except 203.1)
by state economic area
-------
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Multiple Myeloma
White Females: Relative Change
National Rates
1950-59: 1.0
1960-69: 1.5
1970-79: 1.8
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Males: 1950-1959
ICD code(s): 203 (except 203.1)
by state economic area
-------
OJ
Multiple Myeloma
Nonwhite Males: 1960 -1969
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Males: 1970 - 1979
ts>
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Males: Relative Change
1960-69: 3.4
1970 - 79: 4.6
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Females: 1950 -1959
**> -ir % <0-fc -fr %<& -fe ^ ««
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10 20 30 40 SO
60
A
70 80 90 100
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Females: 1960 -1969
OJ
ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Females: 1970 -1979
U)
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ICD code(s): 203 (except 203.1)
by state economic area
-------
Multiple Myeloma
Nonwhite Females: Relative Change
1960-69: 2.2
1970-79: 3.1
ICD code(s): 203 (except 203.1)
by state economic area
-------
Leukemias
White Males: 1950 -1959
oo
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 202.4,203.1,204-208
by sute economic area
-------
Leukemias
White Males: 1960 -1969
ICD code(s): 202.4,203.1,204-208
by state economic area
-------
OJ
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Leukemias
White Males: 1970 -1979
90 100
ICD code(s): 202.4.203.U04-208
by state economic area
-------
Leukemias
White Males: Relative Change
National Rates
1950 - 59: 8.5
1960-69: 9.5
1970-79: 9.1
ICD code(s): 202.4,203.1,204-208
by state economic area
-------
Leukemias
White Females: 1950 -1959
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 202.4,203.1^04-208
by state economic area
-------
Leukemias
White Females: 1960 -1969
u>
ICD iode(s): 202.4,203.1,204-208
by slate economic area
-------
Leukemias
White Females: 1970 -1979
ICD code(s): 202.4,203. U04-208
by state economic area
-------
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Ln
Leukemias
White Females: Relative Change
1960 - 69: 5.9
1970-79: 5.4
ICD code(s): 202.4,203.1,204-208
by state economic area
-------
LtJ
Secondary, Site Unspecified and Not Previously Listed Cancers
White Males: 1950 -1959
10 20 30 40 50 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184.187,195-199,202.2,.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Males: 1960 -1969
l_l._t-l I I I I I I I 1.1 1 I I 1.1 I I 1 I I I I I I I I 1.1.1.1 I I 1 I I I I I I I I I I 1 l^g
0 10 20 30 40 50 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187>195-199,202.2,.3,.5>.6
by county
-------
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-p»
00
Secondary, Site Unspecified and Not Previously Listed Cancers
White Males: 1970 -1979
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187,195-199,202.2,.3,.5,6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Males: Relative Change
1960-69: 13.6
1970-79: 12.8
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187,195-199,202.2,.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Females: 1950 -1959
0 10 20 30 40 SO 60 70 80 90 100
ICD code(s): 1521158,159.2-.9,164.2-.9,184,187,195-199^02.2,.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Females: 1960 -1969
10 20 30 40 50 60 70 80 90 100
ICDcode(s):152,158,159.2-.9,164.2-.9,184,187,195-199^02.2,.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Females: 1970 - 1979
0 10 20 30 40 SO 60 70 80 90 100
ICDcode(s):152,158,159.2-.9,164.2-.9,184,187,195-199^02.2,.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
White Females: Relative Change
1960-69: 11.1
1970-79: 10.1
ICDcode(s): 152,158,159.2-.9,164.2-.9,184,187,195-199,202.2>.3,.5,.6
by county
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Males: 1950 -1959
10 20 30 40 SO 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184,1871195-199^02.2,.3,.5,.6
by sUle economic area
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Males: 1960 -1969
90 100
ICDcode(s):152,158,159.2-.9,164.2-.9,184,187,195-199,202.2,.3,.5,.6
by state economic area
-------
U)
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Males: 1970 -1979
10 20 30 40 50 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187>195-199^Q2.2,.3,.5,.6
by state economic area
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Males: Relative Change
1960-69: 18.4
1970-79: 18.1
ICDcode(s): 152,158,159.2-.9,164.2-.9,184,187,195-199,202.2,.3,.5,.6
by stale economic area
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Females: 1950-1959
U)
u\
oo
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187.195-199^02.2,.3,.5,.6
by state economic area
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Females: 1960 -1969
Lf\
ICDcode(s):152,158,159.2-.9,164.2-.9,184,187,195-199,202.2,.3,:5,.6
by state economic area
-------
O\
o
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Females: 1970 -1979
10 20 30 40 50 60 70 80 90 100
ICD code(s): 152,158,159.2-.9,164.2-.9,184,187,195-199^02.2,.31.5,.6
by state economic area
-------
Secondary, Site Unspecified and Not Previously Listed Cancers
Nonwhite Females: Relative Change
1960-69: 15.4
1970 - 79: 13.5
ICDcode(s):152,158,159.2-.9,164.2-.9,184,187,195-199202.2,.3,.5,.6
by state economic area
-------
Counties of the United States
Number of Counties: 3072
ON
to
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State Economic Areas
Number of SEA's: 506
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