OLDER
AMERICANS
2010
Key Indicators of Well-Being
FEDERAL
' INTERAGENCY
FORUM ON
RELATED
STATISTICS
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The Federal Interagency Forum on Aging-Related Statistics
The Federal Interagency Forum on Aging-Related Statistics (Forum) was founded in 1986 to foster
collaboration among federal agencies that produce or use statistical data on the older population. Forum
agencies as of July 2010 are listed below.
Department of Commerce
U.S. Census Bureau
http://www.census.gov
Department of Health and Human Services
Administration on Aging
http://www.aoa.gov
Agency for Healthcare Research and Quality
http: //www.ahrq .gov
Centers for Medicare and Medicaid Services
http ://www. cms .hhs .gov
National Center for Health Statistics
http: //www.cdc .gov/nchs
National Institute on Aging
http://www.nia.nih.gov
Office of the Assistant Secretary for Planning and
Evaluation
http: //www.aspe .hhs .gov
Substance Abuse and Mental Health Services
Administration
http://www.samhsa.gov
Department of Housing and Urban
Development
http://www.hud.gov
Department of Labor
Bureau of Labor Statistics
http://www.bls.gov
Employee Benefits Security Adminstration
http ://www.dol .gov/ebsa
Department of Veterans Affairs
http://www.va.gov
Environmental Protection Agency
http://www.epa.gov
Office of Management and Budget
Office of Statistical and Science Policy
http://www.whitehouse.gov/omb/inforeg/statpolicy.
html
Social Security Administration
Office of Research, Evaluation, and Statistics
http://www.ssa.gov
Copyright information: All material appearing in this report is in the public domain and may be reproduced or copied without permission; citation
as to source, however, is appreciated. Recommended citation: Federal Interagency Forum on Aging-Related Statistics. Older Americans 2010: Key
Indicators of Well-Being. Federal Interagency Forum on Aging-Related Statistics. Washington, DC: U.S. Government Printing Office. July 2010.
Report availability: Single copies of this report are available at no charge through the National Center for Health Statistics while supplies last.
Requests may be sent to the Information Dissemination Staff, National Center for Health Statistics, 3311 Toledo Road, Room 5412, Hyattsville,
MD 20782. Copies may also be ordered by calling 1-866^141-NCHS (6247) or by e-mailing nchsquciy@cdc.gov. This report is also available on
the World Wide Web at http://www.agingstats.gov.
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OLDER
AMERICANS
2010
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Foreword
Americans age 65 and over are an important
and growing segment of our population. Many
federal agencies provide data on aspects of older
Americans' lives, but it can be difficult to fit the
pieces together. Thus, it has become increasingly
important for policymakers and the general public
to have an accessible, easy-to-understand portrait
that shows how older Americans are faring.
Older Americans 2010: Key Indicators of Weil-
Being (Older Americans 2010) provides a
comprehensive picture of our older population's
health and well-being. It is the fifth chartbook
prepared by the Federal Interagency Forum on
Aging-Related Statistics (Forum), which now
has 15 participating federal agencies. As with
the earlier volumes, readers will find here an
accessible compendium of indicators drawn from
the most reliable official statistics. The indicators
are again categorized into five broad groups:
population, economics, health status, health risks
and behaviors, and health care.
Many of the estimates reported in Older Americans
2010 were collected in 2007 and 2008, the years
straddling the large-scale financial downturn that
began in December 2007. Thus, although this
was an economically challenging time, the data
reported in Older Americans 2010 do not in all
cases reflect this crisis. The Forum did produce
a short report, Data Sources on the Impact of the
2008 Financial Crisis on the Economic Well-
being of Older Americans at the end of 2009 that
provides information about data sources that may
shed light on the effects of the economic downturn
on the well-being of older Americans.
While federal agencies currently collect and
report substantial information on the population
age 65 and over, there remain gaps in our
knowledge. Two years ago, in Older Americans
2008, the Forum identified six data need areas:
caregiving, elder abuse, functioning and disability,
mental health, pension measures, and residential
care. In Older Americans 2010, we provide updated
information on the status of data availability for
those specific areas and add a new call for data
on end-of-life issues. We continue to appreciate
users' requests for greater detail for many existing
indicators of well-being. The Forum encourages
extending age reporting categories, oversampling
older racial and ethnic populations, collecting data
at lower levels of geography, and including the
institutionalized population in national surveys.
By displaying what we know and do not know,
this report challenges federal statistical agencies
to do even better.
The Older Americans reports reflect the Forum's
commitment to advancing our understanding of
where older Americans stand today and what they
may face tomorrow. I congratulate the Forum
agencies for joining together to enhance their work
and present the American people with a valuable
tool. Last, but not least, none of this work would
be possible without the continued cooperation
of millions of American citizens who willingly
provide the data that are summarized and analyzed
by staff in the federal agencies.
We invite you to suggest ways in which we can
enhance this biennial portrait of older Americans.
Please send comments to us at the Forum's
website (http://www.agingstats.gov). I hope that
our compendium will continue to be useful in
your work.
Katherine K. Wallman
Chief Statistician
Office of Management and Budget
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Acknowledgments
Older Americans 2010: Key Indicators of We II-
Being is a report of the Federal Interagency Forum
on Aging-Related Statistics (Forum). This report
was prepared by the Forum's planning committee
and reviewed by the Forum's principal members,
which include Edwin L. Walker, Administration
on Aging (AoA); Steven B. Cohen, Agency
for Healthcare Research and Quality (AHRQ);
Thomas Nardone, Bureau of Labor Statistics
(BLS); Howard Hogan, U.S. Census Bureau;
Thomas Reilly, Centers for Medicare and
Medicaid Services (CMS); Raphael W. Bostic,
Department of Housing and Urban Development
(HUD); Joseph Piacentini, Employee Benefits
Security Administration (EBSA); Peter Grevatt,
Environmental Protection Agency (EPA); Edward
Sondik, National Center for Health Statistics
(NCHS); Richard Suzman, National Institute on
Aging (NIA); Ruth Katz, Office of the Assistant
Secretary for Planning and Evaluation (ASPE),
Department of Health and Human Services;
Katherine K. Wallman, Office of Management
and Budget (OMB); Daryl Kade, Substance
Abuse and Mental Health Services Administration
(SAMHSA); Manuel de la Puente, Social Security
Administration (SSA); and Dat Tran, Department
of Veterans Affairs (VA).
The following members of the Forum agencies
reviewed the chartbook and provided valuable
guidance and assistance: Nancy Gordon, U.S.
Census Bureau; Jennifer Madans, NCHS; William
Marton, ASPE; John Haaga, NIA; Anja Decressin,
EBSA, and Susan Grad, SSA.
The Forum's planning committee members
include Saadia Greenberg, AoA; David Kashihara
and D.E.B. Potter, AHRQ; Emy Sok, BLS; Amy
Symens Smith and Wan He, U.S. Census Bureau;
Gerald Riley, CMS; Meena Bavan and Cheryl
Levine, HUD; Miranda Moore and Daniel Puskin,
EBSA; Kathy Sykes, EPA; Ellen Kramarow and
Julie Dawson Weeks, NCHS; Elizabeth Hamilton,
NIA; He lenZayac Lament, ASPE; Roche lie Wilkie
Martinez, OMB; Ingrid Goldstrom, Beth Han,
and Jennifer Solomon, SAMHSA; Howard lams,
SSA; Dorothy Glasgow and Cathy Tomczak, VA;
and the Forum's Staff Director, Elena M. Fazio.
to contribute to this report. The Forum greatly
appreciates the efforts of Patricia Guenther, Hazel
Hiza, and Kellie O'Connell, Center for Nutrition
Policy and Promotion, USDA, in providing
valuable information from their agency.
Other staff members of federal agencies who
provided data and assistance include Jennifer
Klocinski, AoA; Rachel Krantz-Kent and Geoffrey
Paulin, BLS; Jean Bradley and Marcella Jones-
Puthoff, U.S. Census Bureau; Rick Andrews,
Franklin Eppig, Deborah Kidd, Chris McCormick,
Maggie Murgolo, and Joseph Regan, CMS; Ellen
Baldridge, EPA; Carolyn Lynch, HUD; Robert
Anderson, Amy Bernstein, Mary Ann Bush,
Liming Cai, Robin Cohen, Nazik Elgaddal, Ginny
Freid, Lauren Harris-Kojetin, Melonie Heron, and
Rhonda Robinson, NCHS; Vicky Cahan, NIA;
Anne DeCesaro and Lynn Fisher, SSA; and Peter
Ahn, Linda Bergofsky, and Jin Kim, VA.
The Forum is also indebted to the people outside
the federal government who contributed to this
chartbook: Cathy Liebowitz, Mohammed Kabeto,
Kate McGonagle, Robert Schoeni, Frank Stafford,
and David Weir, University of Michigan.
Member agencies of the Forum provided
funds and valuable staff time to produce this
report. NCHS and its contractor, NOVA
Research Company, facilitated the production,
printing, and dissemination of this report.
Zorica Tomic-Whalen, NOVA, designed the
layout and supervised the overall presentation of
the report; Zorica Tomic-Whalen and Ode 11 D.
Eldridge, NOVA, designed and produced the data
tables. RichardDevens, FirstXVCommunications,
provided consultation and editing services;
Demarius V. Miller, CDC, provided editorial
oversight and review. Patricia L. Wilson, CDC,
managed the printing of the report.
In addition to the 15 agencies of the Forum, the
Department of Agriculture (USDA) was invited
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About this Report
Introduction
Older Americans 2010: Key Indicators of Well-
Being (Older Americans 2010) is the fifth in
a series of reports produced by the Federal
Interagency Forum on Aging-Related Statistics
(Forum) that describe the overall status of the
U.S. population age 65 and over. Once again, this
report uses data from over a dozen national data
sources to construct broad indicators of well-being
for the older population and to monitor changes
in these indicators over time. By following these
data trends, more accessible information will be
available to target efforts to improve the lives of
older Americans.
With the exception of the indicator on nursing
home utilization, for which new data are not
available at this time, all indicators from the
last edition reappear in Older Americans 2010.
The Forum hopes that this report will stimulate
discussions by policymakers and the public,
encourage exchanges between the data and
policy communities, and foster improvements
in federal data collection on older Americans.
By examining a broad range of indicators,
researchers, policymakers, service providers, and
the federal government can better understand the
areas of well-being that are improving for older
Americans and the areas of well-being that require
more attention and effort.
Structure of the Report
Older Americans 2010 is designed to present
data in a nontechnical, user-friendly format;
it complements other more technical and
comprehensive reports produced by the individual
Forum agencies. The report includes 37 indicators
that are grouped into five sections: Population,
Economics, Health Status, Health Risks and
Behaviors, and Health Care. A list of the indicators
included in this report is located in the Table of
Contents on page IX.
Each indicator includes the following:
0 An introductory paragraph that describes the
relevance of the indicator to the well-being of
the older population.
V One or more charts that graphically display
analyses of the data.
V Bulleted highlights of salient findings from the
data and other sources. The data used to develop
the indicators and their accompanying bullets are
presented in table format in Appendix A. Data
source descriptions are provided in Appendix
B. A glossary is supplied in Appendix C.
Selection Criteria for Indicators
Older Americans 2010 presents 37 key indicators
that measure critical aspects of older people's
lives. The Forum chose these indicators because
they meet the following criteria:
V Easy to understand by a wide range of
audiences.
0 Based on reliable, nationwide data (sponsored,
collected, or disseminated by the federal
government).
V Objectively based on substantial research
that connects them to the well-being of older
Americans.
0 Balanced so that no single area dominates the
report. Measured periodically (not necessarily
annually) so that they can be updated as
appropriate and show trends over time.
0 Representative of large segments of the aging
population, rather than one particular group.
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Considerations When Examining
the Indicators
Older Americans 2010 generally addresses the
U.S. population age 65 and over. Mutually
exclusive age groups (e.g., age 65-74, 75-84, and
85 and over) are reported whenever possible.
Data availability and analytical relevance may
affect the specific age groups that are included for
an indicator. For example, because of small sample
sizes in some surveys, statistically reliable data
for the population age 85 and over often are not
available. Conversely, data from the population
youngerthan age 65 sometimes are included if they
are relevant to the interpretation of the indicator.
For example, in "Indicator 11: Participation in
the Labor Force," a comparison with a younger
population enhances the interpretation of the labor
force trends among people age 65 and over.
To standardize the age distribution of the 65 and
over population across years, some estimates have
been age adjusted by multiplying age-specific rates
by age-specific weights. If an indicator has been
age adjusted, it will be stated in the note under
the chart(s) as well as under the corresponding Survey Years
table(s) in Appendix A.
However, some indicators show data only for
the civilian noninstitutionalized population.
Because the older population residing in nursing
homes (and other long-term care institutional
settings) is excluded from samples based on the
noninstitutionalized population, caution should
be exercised when attempting to generalize the
findings from these data sources to the entire
population age 65 and over. This is especially true
for the older age groups. For example in 2008,
only 86 percent of the population age 85 and over
was included in the civilian noninstitutionalized
population as defined by the U.S. Census Bureau.
Civilian noninstitutionalized population as a percentage of the total
resident population by age July 1, 2008
Percent
100
90
Because the older population is becoming more
diverse, analyses often are presented by sex,
race and Hispanic origin, income, and other
characteristics.
Updated indicators in Older Americans 2010 are
not always comparable to indicators in Older
Americans 2000, 2004, Update 2006, or Older
Americans 2008. The replication of certain
indicators with updated data is sometimes difficult
because of changes in data sources, definitions,
questionnaires, and/or reporting categories. A
comparability table is available on the Forum's
website at http://www.agingstats.gov to help
readers understand the changes that have taken
place.
The reference population (the base population
sampled at the time of data collection) for each
indicator is clearly labeled under each chart and
table and defined in the glossary. Whenever
possible, the indicators include data on the U.S.
resident population (i.e., people living in the
community and people living in institutions).
In the charts, tick marks along the x-axis indicate
years for which data are available. The range
of years presented in each chart varies because
data availability is not uniform across the data
sources. To standardize the time frames across
the indicators, a timeline has been placed at the
bottom of each indicator that reports data for more
than one year.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
Accuracy of the Estimates
Most estimates in this report are based on a sample
of the population and are, therefore, subject
to sampling error. Standard tests of statistical
significance have been used to determine whether
the differences between populations exist at
generally accepted levels of confidence or whether
they occurred by chance. Unless otherwise noted,
only differences that are statistically significant at
the 0.05 level are discussed in the text. To indicate
the reliability of the estimates, standard errors for
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selected estimates in the chartbook can be found
on the Forum's website at http://www.agingstats.
gov.
Finally, the data in some indicators may not sum
to totals because of rounding.
Sources of Data
The data used to create the charts are provided in
tables in the back of the report (Appendix A). The
tables also contain data that are described in the
bullets below each chart. The source of the data
for each indicator is noted below the chart.
Descriptions of the data sources can be found in
Appendix B. Additional information about these
data sources is available on the Forum's website
at http://www.agingstats.gov.
Occasionally, data from another publication are
included to give a more complete explanation of
the indicator. The citations for these sources are
included in the "References" section (page 66).
For those who wish to access the survey data used
in this chartbook, contact information is given for
each of the data sources in Appendix B.
Data Needs
Because Older Americans 2010 is a collaborative
effort of many federal agencies, a comprehensive
array of data was available for inclusion in
this report. However, even with all of the data
available, there are still areas where scant data
exist. Although the indicators that were chosen
cover a broad range of components that affect
well-being, there are other issues that the Forum
would like to address in the future. These issues
are identified in the "Data Needs" section
(page 63).
Mission
The Forum's mission is to encourage cooperation
and collaboration among federal agencies to
improve the quality and utility of data on the
aging population. To accomplish this mission,
the Forum provides agencies with a venue to
discuss data issues and concerns that cut across
agency boundaries, facilitates the development of
new databases, improves mechanisms currently
used to disseminate information on aging-related
data, invites researchers to report on cutting-edge
analyses of data, and encourages international
collaboration.
The specific goals of the Forum are to improve
both the quality and use of data on the aging
population by:
0 Widening access to information on the aging
population through periodic publications and
other means.
V Promoting communication among data
producers, researchers, and public policy-
makers.
V Coordinating the development and use of
statistical databases among federal agencies.
V Identifying information gaps and data
inconsistencies.
0 Investigating questions of data quality.
0 Encouraging cross-national research and data
collection on the aging population.
V Addressing concerns regarding collection,
access, and dissemination of data.
Financial Support
The Forum members provide funds and valuable
staff time to support the activities of the Forum.
More Information
If you would like more information about Older
Americans 2010 or other Forum activities,
contact:
Elena M. Fazio, Ph.D.
Staff Director
Federal Interagency Forum on Aging-Related
Statistics
3311 Toledo Road, Room 6321
Hyattsville, MD 20782
Phone:(301)458-4460
Fax:(301)458-4038
E-mail:
Website: http ://www.agingstats .gov
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Older Americans on the Internet
Supporting material for this report can be found
at http://www.agingstats.gov. The website
contains the following:
V Data for all of the indicators in Excel
spreadsheets (with standard errors, when
available).
V Data source descriptions.
0 PowerPoint slides of the charts.
V A comparability table explaining the changes
to the indicators that have taken place between
Older Americans 2000, 2004, Update 2006,
Older Americans 2008, and Older Americans
2010.
The Forum's website also provides:
V Ongoing federal data resources relevant to the
study of the aging.
V Links to aging-related statistical information
on Forum member websites.
V Other Forum publications (including Data
Sources on Older Americans 2009).
V Workshop presentations, papers, and reports.
V Agency contacts.
V Subject area contact list for federal statistics.
0 Information about the Forum.
Additional Online Resources
Administration on Aging
Statistics on the Aging Population
http://www.aoa.gov/AoARoot/Aging_Statistics/
index.aspx
A Profile of Older Americans
http://www.aoa.gov/AoARoot/Aging_Statistics/
Profile/index.aspx
Online Statistical Data on the Aging
http://www.aoa.gov/AoARoot/Aging_Statistics/
Census_Population/census 1990/Introduction.
aspx
Agency for Healthcare Research and Quality
AHRQ Data and Surveys
http: //www. ahrq. go v/data
Bureau of Labor Statistics
Bureau of Labor Statistics Data
http ://www. stats .bis .gov/data
U.S. Census Bureau
Statistical Abstract of the United States
http: //www. census .gov/compendia/statab
Age Data
http: //www. census .gov/population/www/
socdemo/age .html
Longitudinal Employer-Household Dynamics
http://lehd.did.census.gov/led/
Centers for Medicare and Medicaid Services
CMS Data and Statistics
http: //www. cms .hhs .gov/home/rsds. asp
Department of Housing and Urban
Development
Policy Development and Research Information
Services
http://www.huduser.org/
Department of Veterans Affairs
Veteran Data and Information
http://wwwl .va.gov/vetdata
Employee Benefit Security Administration
EBSA's Research
http://www.dol.gov/ebsa/publications/research.
html
Environmental Protection Agency
Aging Initiative
http: //www. epa.gov/aging
Information Resources
http://www.epa.gov/aging/resources/index.htm
National Center for Health Statistics
Health Data Interactive
http: //www. cdc.gov/nchs/hdi .htm
Longitudinal Studies of Aging
http: //www. cdc.gov/nchs/lsoa.htm
Health, United States
http: //www. cdc.gov/nchs/hus .htm
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National Institute on Aging
NIA Centers on the Demography of Aging
http://www.agingcenters.org/
National Archive of Computerized Data on Aging
http://www.icpsr.umich.edu/NACDA
Publicly Available Datasets for Aging-Related
Secondary Analysis
http://www.nia.nih.gov/researchinformation/
scientificresources
Office of the Assistant Secretary for Planning
and Evaluation, HHS
Office of Disability, Aging, and Long-Term Care
Policy http://www.aspe.hhs.gov/_/office_specific/
daltcp.cfm
Office of Management and Budget
Federal Committee on Statistical Methodology
http://www.fcsm.gov
Social Security Administration
Social Security Administration Statistical
Information
http://www.ssa.gov/policy
Substance Abuse and Mental Health Services
Administration
Office of Applied Studies
http://www.oas.samhsa.gov
Center for Mental Health Services
http: //www.mentalhealth. samhsa.gov/cmhs/
MentalHealthStatistics
Other Resources
FedStats.gov
http://www.fedstats.gov
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Table of Contents
Foreword
Acknowledgments
About This Report
List of Tables
Highlights
.11
.m
.IV
.X
.XIV
Indicator 34: Sources of Payment for
Health Care Services
Indicator 35: Veterans' Health Care
Indicator 36: Residential Services
Indicator 37: Personal Assistance
and Equipment
Data Needs
Population i References
Indicator 1: Number of Older Americans 2 Appendix A: Detailed Tables.
Indicator 2: Racial and Ethnic Composition 4
Indicator 3: Marital Status 5 Appendix B: Data
Indicator 4: Educational Attainment 6 Source Descriptions
Indicator 5: Living Arrangements 8 Appendix Cl Glossary
Indicator6: Older Veterans 9 rr J
Economics n
Indicator?: Poverty 12
Indicator 8: Income 13
Indicator 9: Sources of Income 14
Indicator 10: Net Worth 16
Indicator 11: Participation in the Labor Force 18
Indicator 12: Total Expenditures 20
Indicator 13: Housing Problems 21
Health Status 23
Indicator 14: Life Expectancy 24
Indicator 15: Mortality 26
Indicator 16: Chronic Health Conditions 27
Indicator 17: Sensory Impairments
and Oral Health 28
Indicator 18: Respondent-
Assessed Health Status 29
Indicator 19: Depressive Symptoms 30
Indicator 20: Functional Limitations 32
Health Risks and Behaviors 35
Indicator 21: Vaccinations 36
Indicator 22: Mammography 37
Indicator 23: Diet Quality 38
Indicator 24: Physical Activity 39
Indicator 25: Obesity 40
Indicator 26: Cigarette Smoking 41
Indicator 27: Air Quality 42
Indicator 28: Use of Time 44
Health Care 47
Indicator 29: Use of Health Care Services 48
Indicator 30: Health Care Expenditures 50
Indicator 31: Prescription Drugs 52
Indicator 32: Sources of Health Insurance 54
Indicator 33: Out-of-Pocket
Health Care Expenditures 55
.56
.57
.58
..60
.63
.66
.71
.135
.145
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List of Tables
Population
Indicator 1: Number of Older Americans
Table la. Number of people age 65 and over
and 85 and over, selected years 1900-2008 and
projected 2010-2050 72
Table Ib. Percentage of the population age 65 and
over and 85 and over, selected years 1900-2008
and projected 2010-2050 73
Table Ic. Population of countries or areas with
at least 10 percent of their population age 65 and
over, 2008 74
Table Id. Percentage of the population age 65 and
over, by state, July 1, 2008 75
Table le. Percentage of the population age 65 and
over, by county, 2008 76
Indicator 6: Older Veterans
Table 6a. Percentage of people age 65 and over
who are veterans, by sex and age group, United
States and Puerto Rico, 2000 and projected 2010
and 2020 79
Table 6b. Estimated and projected number of
veterans age 65 and over, by sex and age group,
United States and Puerto Rico, 2000 and projected
2010 and 2020 80
Economics
Indicator 7: Poverty
Table 7a. Percentage of the population living in
poverty, by age group, 2007 81
Table 7b. Percentage of the population age 65
and over living in poverty, by selected
characteristics, 2007 82
Indicators: Income
Table If Number and percentage of people age 65 Table 8a. Income distribution of the population
and over and 85 and over, by sex, 2008 76 age 65 and over, 1974-2007 83
Indicator 2: Racial and Ethnic Composition Table 8b. Median income of householders age 65
and over, in current and 2007 dollars, 1974-2007
Table 2. Population age 65 and over, by race and 34
Hispanic origin, 2008 and projected 2050 76
Indicator 9: Sources of Income
Indicator 3: Marital Status
Table 9a. Distribution of sources of income
Table 3. Marital status of the population age 65 for age units (married couples and nonmarried
and over, by age group and sex, 2008 77 persons) 65 or oide]; selected years, 1962-2008
85
Indicator 4: Educational Attainment
Table 4a. Educational attainment of the Table 9b. Sources of income for married couples
population age 65 and over, selected and nonmarned peopb who are age 65 and over,
years 1965-2008 77 ^ income ^intile' 2°°8 85
Table 4b. Educational attainment of the Table 9C. Percentage of people age 55 and over
, ,. rr , , , o- with family income from specified sources, by age
population age 65 and over, by race and Hispanic -f F
• • onno -70 group, 2008 86
origin, 2008 78 ° ^
T ,. . r T . . » * Indicator 10: Net Worth
Indicator 5: Living Arrangements
rr 1.1 e i • • r^-i i +• Table 10. Median household net worth of head
Table 5a. Living arrangements of the population „, , ,, , , , , ...
,-f , . i JTT--OI household, by selected characteristics, in 2005
age 65 and over, by sex and race and Hispanic , „ , , „„
. . 9nnfi 7Q dollars, selected years 1984-2007 87
origin, ZUUo /o
„,,.,„,. re i i i Indicator 11: Participation in the Labor Force
lable 5b. Population age 65 and over living alone, r
by age group and sex, selected years 1970-2008 Table n Labor force partlclpation of persons
'9 age 55 and over, by age group and sex, annual
averages, 1963-2008 88
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Indicator 12: Total Expenditures
Table 12. Percentage of total household annual
expenditures by age of reference person,
2008 89
Indicator 13: Housing Problems
Table 13a. Percentage of households with residents
age 65 and over that report housing problems, by
type of problems, selected years 1985-2007... 89
Table 13b. Percentage of all U.S. households that
report housing problems, by type of problem,
selected years 1985-2007 91
Health Status
Indicator 14: Life Expectancy
Table 14a. Life expectancy, by age and sex, selected
years 1900-2006 93
Table 14b. Life expectancy, by age and sex,
2006 93
Table 14c. Average life expectancy at age 65, by
sex and selected countries or areas, selected years
1980-2005 94
Indicator 15: Mortality
Table 15a. Death rates for selected leading
causes of death among people age 65 and over,
1981-2006 95
Table 15b. Leading causes of death among people
age 65 and over, by sex and race and Hispanic
origin, 2006 96
Table 15c. Leading causes of death among people
age 85 and over, by sex and race and Hispanic
origin, 2006 98
Indicator 16: Chronic Health Conditions
Table 16a. Percentage of people age 65 and
over who reported having selected chronic
health conditions, by sex, 2007-2008
100
Table 16b. Percentage of people age 65 and over
who reported having selected chronic health
conditions, 1997-2008 100
Indicator 17: Sensory Impairments and Oral
Health
Table 17a. Percentage of people age 65 and over who
reported having any trouble hearing, trouble seeing,
or no natural teeth, by selected characteristics,
2008 101
Table 17b. Percentage of people age 65 and over
who reported ever having worn a hearing aid,
2008 101
Indicator 18: Respondent-Assessed Health
Status
Table 18. Respondent-assessed health status among
people age 65 and over, by selected characteristics,
2006-2008 102
Indicator 19: Depressive Symptoms
Table 19a. Percentage of people age 65 and over
with clinically relevant depressive symptoms, by
sex, selected years 1998-2006 103
Table 19b. Percentage of people age 65 and over
with clinically relevant depressive symptoms, by
age group and sex, 2006 103
Indicator 20: Functional Limitations
Table 20a. Percentage of Medicare enrollees age 65
and over who have limitations in activities of daily
living (ADLs) or instrumental activities of daily
living (lADLs), or who are in a facility, selected
years 1992-2007 104
Table 20b. Percentage of Medicare enrollees age 65
and over who have limitations in activities of daily
living (ADLs) or instrumental activities of daily
living (lADLs), or who are in a facility, by sex,
2007 104
Table 20c: Percentage of Medicare
enrollees age 65 and over who are unable to
perform certain physical functions, by sex, 1991
and 2007 105
Table 20d: Percentage of Medicare enrollees age
65 and over who are unable to perform any one of
five physical functions, by selected characteristics,
2007 105
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Health Risks and Behaviors
Indicator 21: Vaccinations
Table 2 la. Percentage of people age 65 and over
who reported having been vaccinated against
influenza and pneumococcal disease, by
race and Hispanic origin, selected years
1989-2008 106
Table 21b. Percentage of people age 65 and over
who reported having been vaccinated against
influenza and pneumococcal disease, by selected
characteristics, 2008 106
Indicator 22: Mammography
Table 22. Percentage of women who
reported having had a mammogram within
the past 2 years, by selected characteristics,
selected years 1987-2008 107
Indicator 23: Diet Quality
Table 23. Average dietary component scores as a
percent of federal diet quality standards, population
age 65 and older, by age group, 2003-2004.... 108
Indicator 24: Physical Activity
Table 24a. Percentage of people age 45
and over who reported engaging in regular
leisure time physical activity, by age group,
1997-2008 109
Table 24b. Percentage of people age 65 and over
who reported engaging in regular leisure time
physical activity, by selected characteristics,
2007-2008 109
Indicator 25: Obesity
Table 25. Body weight status among persons
65 years of age and over, by sex and age group,
selected years 1976-2008 110
Indicator 26: Cigarette Smoking
Table 26a. Percentage of men age 45 and
over who are current cigarette smokers,
by selected characteristics, selected years
1965-2008 Ill
Table 26b. Percentage of women age 45
and over who are current cigarette smokers,
by selected characteristics, selected years
1965-2008 112
Table 26c. Cigarette smoking status of people age
18 and over, by sex and age group, 2008 113
Indicator 27: Air Quality
Table 27a. Percentage of people age 65 and
over living in counties with "poor air quality"
2000-2008 113
Table 27b. Counties with "poor air quality," for any
standard in 2008 114
Indicator 28: Use of Time
Table 28a. Percentage of day that people age 55 and
over spent doing selected activities on an average
day, by age group, 2008 118
Table 28b. Percentage of total leisure time that
people age 55 and over spent doing selected
leisure activities on an average day, by age group,
2008 118
Health Care
Indicator 29: Use of Health Care Services
Table 29a. Use of Medicare-covered health care
services by Medicare enrollees age 65 and over,
1992-2007 119
Table 29b. Use of Medicare-covered home
health and skilled nursing facility services by
Medicare enrollees age 65 and over, by age group,
2007 119
Indicator 30: Health Care Expenditures
Table 30a. Average annual health care costs for
Medicare enrollees age 65 and over, in 2006 dollars,
by age group, 1992-2006 120
Table 3Ob. Major components of health care costs
among Medicare enrollees age 65 and over, 1992
and 2006 120
Table 30c. Average annual health care costs among
Medicare enrollees age 65 and over, by selected
characteristics, 2006 121
Table 30d. Major components of health care costs
among Medicare enrollees age 65 and over, by
age group, 2006 121
Table 30e. Percentage of noninstitutionalized
Medicare enrollees age 65 and older who reported
problems with access to health care, 1992-2005
122
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Indicator 31: Prescription Drugs
Table 3 la. Average prescription drug costs and
sources of payment among noninstitutionalized
Medicare enrollees age 65 and over,
1992-2004 122
Table 31b. Distribution of annual prescription
drug costs among noninstitutionalized Medicare
enrollees age 65 and over, 2004 122
Table 31c. Number of Medicare enrollees age 65
and over who enrolled in Part D prescription drug
plans or who were covered by retiree drug subsidy
payments, June 2006 and December 2009 123
Table 3 Id. Average prescription drug costs among
noninstitutionalized Medicare enrollees age 65 and
over, by selected characteristics, 2000, 2002, and
2004 123
Indicator 32: Sources of Health Insurance
Table 32a. Percentage of noninstitutionalized
Medicare enrollees age 65 and over with
supplemental health insurance, by type of insurance,
1991-2007 124
Table 32b. Percentage of people age 55-64 with
health insurance coverage, by type of insurance and
poverty status, 2008 124
Indicator 33: Out-of-Pocket Health Care
Expenditures
Table 33a. Percentage of people age 55 and over
with out-of-pocket expenditures for health care
service use, by age group, 1977, 1987, 1996, 2000-
2006 125
Table 33b. Out-of-pocket health care
expenditures as a percentage of household
income, among people age 55 and over by
selected characteristics, 1977, 1987, 1996,
2000-2006 125
Table 33c. Distribution of total out-of-pocket health
care expenditures among people age 55 and over by
type of health care services and age group, 2000-
2006 127
Indicator 34: Sources of Payment for Health
Care Services
Table 34a. Sources of payment for health care
services for Medicare enrollees age 65 and over, by
type of service, 2006 129
Table 34b. Sources of payment for health care
services for Medicare enrollees age 65 and over,
by income, 2006 129
Indicator 35: Veterans' Health Care
Table 35. Total number of veterans age 65 and
over who are enrolled in or receiving health
care from the Veterans Health Administration,
1990-2008 130
Indicator 36: Residential Services
Table 36a. Percentage of Medicare enrollees age 65
and over residing in selected residential settings,
by age group, 2007 131
Table 36b. Percentage of Medicare enrollees age 65
and over with functional limitations, by residential
setting, 2007 131
Table 36c. Availability of specific services
among Medicare enrollees age 65 and over
residing in community housing with services,
2007 131
Table 36d. Annual income distribution of
Medicare enrollees age 65 and over, by residential
setting, 2007 132
Table 36e. Characteristics of services available
to Medicare enrollees age 65 and over
residing in community housing with services,
2007 132
Indicator 37: Personal Assistance and
Equipment
Table 37a. Distribution of noninstitutionalized
Medicare enrollees age 65 and over who
have limitations in activities of daily living
(ADLs), by types of assistance, selected years
1992-2007 133
Table 37b. Percentage of noninstitutionalized
Medicare enrollees age 65 and over who have
limitations in instrumental activities of daily living
(lADLs) and who receive personal assistance, by
age group, selected years 1992-2007 133
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Highlights
Older Americans 2010: Key Indicators of Well-
Being is one in a series of periodic reports to the
Nation on the condition of older adults in the
United States. The indicators assembled in this
chartbook show the results of decades of progress.
Older Americans are living longer and enjoying
greater prosperity than any previous generation.
Despite these advances, inequalities between
the sexes and among income groups and racial
and ethnic groups continue to exist. As the
baby boomers continue to age and America's
older population grows larger and more diverse,
community leaders, policymakers, and researchers
will have an even greater need to monitor the health
and economic well-being of older Americans. In
this report, 37 indicators depict the well-being
of older Americans in the areas of demographic
characteristics, economic circumstances, overall
health status, health risks and behaviors, and cost
and use of health care services. Selected highlights
from each section of the report follow.
Population
The demographics of aging continue to change
dramatically. The older population is growing
rapidly, and the aging of the baby boomers, born
between 1946 and 1964 (and who begin turning
age 65 in 2011), will accelerate this growth. This
larger population of older Americans will be more
racially diverse and better educated than previous
generations. Another significant trend is the
increase in the proportion of men age 85 and over
who are veterans.
V In 2008, there were an estimated 39 million
people age 65 and over in the United States,
accounting for just over 13 percent of the
total population. The older population in 2030
is expected to be twice as large as in 2000,
growing from 35 million to 72 million and
representing nearly 20 percent of the total U.S.
population. (See "Indicator 1: Number of Older
Americans.")
0 In 1965, 24 percent of the older population had
graduated from high school, and only 5 percent
had at least a bachelor's degree. By 2008, 77
percent were high school graduates or more,
and 21 percent had a bachelor's degree or more.
(See "Indicator 4: Educational Attainment.")
v The number of men age 85 and over who are
veterans is projected to increase from 400,000
in 2000 to almost 1.2 million by 2010. The
proportion of men age 85 and over who are
veterans is projected to increase from 33 percent
in 2000 to 66 percent in 2010. (See "Indicator
6: Older Veterans.")
Economics
Most older people are enjoying greater prosperity
than any previous generation. There has been
an increase in the proportion of older people
in the high-income group and a decrease in the
proportion of older people living in poverty, as well
as a decrease in the proportion of older people in
the low-income group just above the poverty line.
Among older Americans, the share of aggregate
income coming from earnings has increased since
the mid-1980s, partly because more older people,
especially women, continue to work past age
55. Finally, on average, net worth has increased
almost 80 percent for older Americans over the
past 20 years. Yet major inequalities continue to
exist with older blacks and people without high
school diplomas reporting smaller economic gains
and fewer financial resources overall.
0 Between 1974 and 2007, there was a decrease
in the proportion of older people with income
below poverty from 15 percent to 10 percent
and with low income from 35 percent to 26
percent; and an increase in the proportion of
people with high income from 18 percent to 31
percent. (See "Indicator 8: Income.")
V In 2007, the median net worth of households
headed by white people age 65 and over
($280,000) was six times that of older black
households ($46,000). This difference is less
than in 2003 when the median net worth of
households headed by older white people was
eight times higher than that of households
headed by older black people. (See "Indicator
10: Net Worth.") The large increase in net
worth in past years may not continue into the
future due to recent declines in housing values.
v Labor force participation rates have risen among
all women age 55 and over during the past four
decades. As new cohorts of baby boom women
approach older ages they are participating in
the labor force at higher rates than previous
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generations. Labor force participation rates
among men age 55 and over have gradually
begun to increase after a steady decline from the
early 1960s to the mid-1990s. (See "Indicator
11: Participation in the Labor Force.")
Health Status
Americans are living longer than ever before, yet
their life expectancies lag behind those of other
developed nations. Older age is often accompanied
by increased risk of certain diseases and disorders.
Large proportions of older Americans report
a variety of chronic health conditions such as
hypertension and arthritis. Despite these and
other conditions, the rate of functional limitations
among older people has declined in recent years.
0 Life expectancy at age 65 in the United States
is lower than that of many other industrialized
nations. In 2005, women age 65 in Japan could
expect to live on average 3.7 years longer than
women in the United States. Among men, the
difference was 1.3 years. (See "Indicator 14:
Life Expectancy.")
0 The prevalence of certain chronic conditions
differs by sex. Women report higher levels of
arthritis (55 percent versus 42 percent) than
men. Men report higher levels of heart disease
(38 percent versus 27 percent) and cancer (24
percent versus 21 percent). (See "Indicator 16:
Chronic Health Conditions.")
v Between 1992 and 2007, the age-adjusted
proportion of people age 65 and over with a
functional limitation declined from 49 percent
to 42 percent. (See "Indicator 20: Functional
Limitations.")
Health Risks and Behaviors
Social and lifestyle factors can affect the health
and well-being of older Americans. These factors
include preventive behaviors such as cancer
screenings and vaccinations along with diet,
physical activity, obesity, and cigarette smoking.
Health and well-being are also affected by the
quality of the air where people live and by the time
they spend socializing and communicating with
others. Many of these health risks and behaviors
have shown long-term improvements, even though
recent estimates indicate no significant changes.
V There was no significant change in the
percentage of people age 65 and over reporting
physical activity between 1997 and 2008. (See
"Indicator 24: Physical Activity.")
0 As with other age groups, the percentage of
people age 65 and over who are obese has
increased since 1988-1994. In 2007-2008, 32
percent of people age 65 and over were obese,
compared with 22 percent in 1988-1994.
However, over the past several years, the trend
has leveled off, with no statistically significant
change in obesity for older men or women
between 1999-2000 and 2007-2008. (See
"Indicator 25: Obesity.")
v The percentage of people age 65 and over living
in counties that experienced poor air quality for
any air pollutant decreased from 52 percent in
2000 to 36 percent in 2008. (See "Indicator 27:
Air Quality.")
V The proportion of leisure time that
older Americans spent socializing and
communicating—such as visiting friends or
attending or hosting social events—declined
with age. For Americans age 55-64, 13 percent
of leisure time was spent socializing and
communicating compared with 8 percent for
those age 75 and over. (See "Indicator 28: Use
of Time.")
Health Care
Overall, health care costs have risen dramatically
for older Americans. In addition, between 1992 and
2006, the percentage of health care costs going to
prescription drugs almost doubled from 8 percent
to 16 percent, with prescription drugs accounting
for a large percentage of out-of-pocket health care
spending. To help ease the burden of prescription
drug costs, Medicare Part D prescription drug
costs, began in January 2006.
V After adjustment for inflation, health care costs
increased significantly among older Americans
from $9,224 in 1992 to $15,081 in 2006. (See
"Indicator 30: Health Care Expenditures.")
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V From 1977 to 2006, the percentage of household
income that people age 65 and over allocated to
out-of-pocket spending for health care services
increased among those in the poor/near poor
income category from 12 percent to 28 percent.
(See "Indicator 33: Out-of-Pocket Health Care
Expenditures.")
V The number of Medicare beneficiaries enrolled
in Part D prescription drug plans increased
from 18.2 million (51 percent of beneficiaries)
in June 2006 to 22.2 million (57 percent of
beneficiaries) in December 2009. In December
2009,61 percent of plan enrollees were in stand-
alone plans and 39 percent were in Medicare
Advantage plans. In addition, approximately
6.2 million beneficiaries were covered by
the Retiree Drug Subsidy (See "Indicator 31:
Prescription Drugs.")
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Population
Indicator 1:
Indicator 2:
Indicators:
Indicator 4:
Indicator 5:
Indicator 6:
Number of Older Americans
Racial and Ethnic Composition
Marital Status
Educational Attainment
Living Arrangements
Older Veterans
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INDICATOR 1
Number of Older Americans
The growth of the population age 65 and over affects many aspects of our society, challenging
policymakers, families, businesses, and health care providers, among others, to meet the needs of aging
individuals.
Population age 65 and over and age 85 and over, selected years
1900-2008 and projected 2010-2050
Millions
100
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 |2010 2020 2030 2040 2050
20081 I
Projected
NOTE: Data for 2010-2050 are projections of the population.
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, Decennial Census, Population Estimates and Projections.
V In 2008,39 million people age 65 and overlived
in the United States, accounting for 13 percent
of the total population. The older population
grew from 3 million in 1900 to 39 million in
2008. The oldest-old population (those age 85
and over) grew from just over 100,000 in 1900
to 5.7 million in 2008.
V The baby boomers (those born between 1946
and 1964) will start turning 65 in 2011, and
the number of older people will increase
dramatically during the 2010-2030 period. The
older population in 2030 is projected to be twice
as large as their counterparts in 2000, growing
from 35 million to 72 million and representing
nearly 20 percent of the total U.S. population.
V The growth rate of the older population is
projected to slow after 2030, when the last baby
boomers enter the ranks of the older population.
From 2030 onward, the proportion age 65 and
over will be relatively stable, at around 20
percent, even though the absolute number of
people age 65 and over is projected to continue
to grow. The oldest-old population, however, is
projected to grow rapidly after 2030, when the
baby boomers move into this age group.
0 The U.S. Census Bureau projects that the
population age 85 and over could grow from 5.7
million in 2008 to 19 million by 2050. Some
researchers predict that death rates at older ages
will decline more rapidly than is reflected in the
U.S. Census Bureau's projections, which could
lead to faster growth of this population.1"3
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
2010
2050
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INDICATOR
Number of Older Americans continued
Percentage of the population age 65
and over, by county and State, 2008
o
Percentage by county
B 20.0 to 36.2
| | 16.0 to 19.9
| | 12.8 to 15.9
| | 10.0 to 12.7
| | 2.6 to 9.9
U.S. tofa//s 12.8percent.
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, July 1, 2008 Population Estimates.
V The proportion of the population age 65 and
over varies by state. This proportion is partly
affected by the state fertility and mortality levels
and partly by the number of older and younger
people who migrate to and from the state. In
2008, Florida had the highest proportion of
people age 65 and over, 17 percent. Maine,
Pennsylvania, and West Virginia also had high
proportions, over 15 percent.
V The proportion of the population age 65 and
over varies even more by county. In 2008, 36
percent of Mclntosh County, North Dakota,
was age 65 and over, the highest proportion in
the country. In several Florida counties, the
proportion was over 30 percent. At the other
end of the spectrum was Chattahoochee County,
Georgia, with only 3 percent of its population
age 65 and over.
V Older women outnumbered older men in the
United States, and the proportion that is female
increased with age. In 2008, women accounted
for 58 percent of the population age 65 and
over and for 67 percent of the population 85
and over.
0 The United Statesisfairlyyoungforadeveloped
country, with 13 percent of its population aged
65 and over in 2008. Japan had the highest
percent of 65 and over (22 percent) among
countries with at least 100,000 population. The
older population made up more than 15 percent
of the population in most European countries,
20 percent in Germany and Italy.
Data for this indicator's charts and bullets
can be found in Tables la, Ib, Ic, Id, le, and
If on pages 72-76.
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INDICATOR 2
Racial and Ethnic Composition
As the older population grows larger, it will also grow more diverse, reflecting the demographic changes
in the U.S. population as a whole over the last several decades. By 2050, programs and services for
older people will require greater flexibility to meet the needs of a more diverse population.
Population age 65 and over, by race and Hispanic origin, 2008 and
projected 2050
Percent
100 _
90
80
70
60
50
40
30
20
10
I 2008
2050 (projected)
Non-Hispanic white alone Black alone
Asian alone
All other races alone
or in combination
20
Hispanic
(of any race)
NOTE: The term "non-Hispanic white alone " is used to refer to people who reported being white and no other race and who are not Hispanic. The term
"black alone" is used to refer to people who reported being black or African American and no other race, and the term "Asian alone" is used to refer to people
who reported only Asian as their race. The use of single-race populations in this report does not imply that this is the preferred method of presenting or
analyzing data. The U.S. Census Bureau uses a variety of approaches. The race group "All other races alone or in combination" includes American Indian
and Alaska Native alone; Native Hawaiian and Other Pacific Islander alone; and all people who reported two or more races.
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, Population Estimates and Projections. 2008.
V In 2008, non-Hispanic whites accounted for 80
percent of the U.S. older population. Blacks
made up 9 percent, Asians made up 3 percent,
and Hispanics (of any race) accounted for 7
percent of the older population.
0 Projections indicate that by 2050 the
composition of the older population will be
59 percent non-Hispanic white, 20 percent
Hispanic, 12 percent black, and 9 percent
Asian.
v The older population among all racial and
ethnic groups will grow; however, the older
Hispanic population is projected to grow the
fastest, from just under 3 million in 2008 to 17.5
million in 2050, and to be larger than the older
black population. The older Asian population
is also projected to experience a large increase.
In 2008, just over 1 million older Asians lived
in the United States; by 2050 this population is
projected to be almost 7.5 million.
Data for this indicator's charts and bullets
can be found in Table 2 on page 76.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
2010
2050
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INDICATOR 3
Marital Status
Marital status can strongly affect one's emotional and economic well-being. Among other factors, it
influences living arrangements and the availability of caregivers for older Americans with an illness or
disability.
Marital status of the population age 65 and over, by age group and sex, percent
distribution, 2008 65-74 175-84 • 85 and over
Percent
100
90
80
70
60
50
40
30
20
10
0
Percent
100
Men
Women
57
Never
married
Divorced Widowed
Married
Never
married
Divorced Widowed
Married
NOTE: Married includes married, spouse present; married, spouse absent; and separated.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
V In 2008, older men were much more likely than
olderwomento be married. Over three-quarters
of men age 65-74 were married, compared
with over one-half (57 percent) of women in
the same age group. The proportion married is
lower at older ages: 37 percent of women age
75-84 and 15 percent of women age 85 and over
were married. For men, the proportion married
also is lower at older ages but not as low as for
older women. Even among the oldest old, the
majority of men were married (55 percent).
V Widowhood is more common among older
women than older men. Women age 65 and
over were three times as likely as men of the
same age to be widowed, 42 percent compared
with 14 percent. In 2008, 76 percent of women
age 85 and over were widowed, compared with
38 percent of men.
0 Relatively small proportions of older men (8
percent) and women (10 percent) were divorced
in 2008. A smaller proportion (4 percent) of the
older population had never married.
All comparisons presented for this indicator
are significant at 0.10 confidence level. Data
for this indicator's charts and bullets can be
found in Table 3 on page 77.
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INDICATOR 4
Educational Attainment
Educational attainment influences socioeconomic status, which in turn plays a role in well-being at
older ages. Higher levels of education are usually associated with higher incomes, higher standards of
living, and above-average health.
Educational attainment of the population age 65 and over, selected years
1965-2008
Percent
100
High school graduate or more
Bachelor's degree or more
1965
1970
1975
1980
1985
1990
1995 2000
2005 2008
NOTE: A single question which asks for the highest grade or degree completed is now used to determine educational attainment.
Prior to 1995, educational attainment was measured using data on years of school completed.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S.Census Bureau,Current Population Survey, Annual Social and Economic Supplement, 1966-2008.
V In 1965, 24 percent of the older population had v In 2008, about 78 percent of older men and
graduated from high school, and only 5 percent 77 percent of older women had at least a high
had at least a Bachelor's degree. By 2008, 77 school diploma. Older men attained at least a
percent were high school graduates ormore, and Bachelor's degree more often than older women
21 percent had a Bachelor's degree or more. (27 percent compared with 16 percent).
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 4
Educational Attainment continued
Educational attainment of the population age 65 and over, by race and
Hispanic origin, 2008
Percent
100
90
80
70
60
50
40
30
20
10
- 77
High school graduate or more
82
Bachelor's degree or more
74
Total
Non-Hispanic
white alone
Black alone
Asian alone
Hispanic
(of any race)
NOTE: The term "non-Hispanic white alone" is used to refer to people who reported being white and no other race and who are not
Hispanic. The term "black alone" is used to refer to people who reported being black or African American and no other race, and the
term "Asian alone" is used to refer to people who reported only Asian as their race. The use of single-race populations in this report
does not imply that this is the preferred method of presenting or analyzing data. The U.S. Census Bureau uses a variety of approaches.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
Despite the overall increase in educational
attainment among older Americans, substantial
educational differences exist among racial and
ethnic groups. In 2008, 82 percent of non-
Hispanic whites age 65 and over had completed
high school. Older Asians also had a high
proportion with at least a high school education
(74 percent). In contrast, 60 percent of older
blacks and 46 percent of older Hispanics had
completed high school.
0 In 2008, older Asians had the highest proportion
with at least a Bachelor's degree (32 percent).
About 22 percent of older non-Hispanic whites
had this level of education. The proportions
were 12 percent and 9 percent, respectively, for
older blacks and Hispanics.
All comparisons presented for this indicator
are significant at 0.10 confidence level. Data
for this indicator's charts and bullets can be
found in Tables 4a and 4b on pages 77-78.
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INDICATOR 5
Living Arrangements
The living arrangements of America's older population are linked to income, health status, and the
availability of caregivers. Older people who live alone are more likely than older people who live with
their spouses to be in poverty.
Living arrangements of the population age 65 and over, by sex and race
and Hispanic origin, percent distribution, 2008
• With spouse • With other relatives • With nonrelatives Alone
Percent
100
90
80
70
60
50
40
30
20
10
0
Men
Percent
100
Women
Total Non-Hispanic Black
white alone alone
Total Non-Hispanic Black
white alone alone
Asian Hispanic
alone (of any race)
Asian Hispanic
alone (of any race)
NOTE: Living with other relatives indicates no spouse present. Living with nonrelatives indicates no spouse or other relatives present. The term
"non-Hispanic white alone" is used to refer to people who reported being white and no other race and who are not Hispanic. The term "black
alone" is used to refer to people who reported being black or African American and no other race, and the term "Asian alone" is used to refer to
people who reported only Asian as their race. The use of single-race populations in this report does not imply that this is the preferred method
of presenting or analyzing data. The U.S. Census Bureau uses a variety of approaches.
Reference population: These data do not include the noninstitutionalized group quarters population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
V In 2008, 72 percent of older men lived with
their spouse while less than half (42 percent)
of older women did. In contrast, older women
were more than twice as likely as older men
to live alone (40 percent and 19 percent,
respectively).
V Older black, Asian, and Hispanic women were
more likely than non-Hispanic white women
to live with relatives other than a spouse.
Older non-Hispanic white women and black
women were more likely than women of other
races to live alone (41 percent and 42 percent,
respectively, compared with about 22 percent
for older Asian women and 27 percent for
older Hispanic women). The percentages of
non-Hispanic white and black women living
alone are not statistically different. Also, the
percentages of older Asian and older Hispanic
women living alone are not statistically
different. Older black men lived alone about
three times as often as older Asian men (30
percent compared with 11 percent). Older
black men lived alone more often than older
non-Hispanic white men (18 percent). The
percentages of older Asian and older Hispanic
men living alone (11 percent and 13 percent,
respectively) are not statistically different.
V Older Hispanic men were more likely (15
percent) than non-Hispanic white men (6
percent) to live with relatives other than a
spouse. The percentages of black, Asian, and
Hispanic men (11 percent, 10 percent and 15
percent, respectively) living with relatives other
than a spouse are not statistically different.
All comparisons presented for this indicator
are significant at 0.10 confidence level. Data
for this indicator's charts and bullets can be
found in Tables 5a and 5b on pages 78-79.
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INDICATOR 6
Older Veterans
Veteran status of America's older population is associated with higher median family income, lower
percentage of uninsured or coverage by Medicaid, higher percentage of functional limitations in
activities of daily living or instrumental activities of daily living, greater likelihood of having any
disability, and less likelihood of rating their general health status as good or better.4 The large increase
in the oldest segment of the veteran population will continue to have significant ramifications on the
demand for health care services, particularly in the area of long-term care.5
Percentage of population age 65 and over who are veterans, by sex and
age group, United States and Puerto Rico, 2000 with projections for
2010 and 2020
2000
2020 (projected)
Women
2 1 2
1 1 2
1 1
65 and over 65-74 75-84 85 and over 65 and over 65-74
Reference population: These data refer to the resident population of the United States and Puerto Rico.
SOURCE: U.S. Census Bureau, Decennial Census and Population Projections; Department of Veterans Affairs, VetPop2007.
75-84
85 and over
v According to Census 2000, there were 9.7
million veterans age 65 and over in the United
States and Puerto Rico. Two of three men age
65 and over were veterans.
0 More than 95 percent of veterans age 65
and over are male. As World War II veterans
continue to die and Vietnam veterans continue
to age, the number of veterans age 65 and over
will gradually decline from 9.4 million in 2000
to a projected 8.1 million in 2020.
0 The increase in the proportion of men age 85 and
over who are veterans is striking. The number
of men age 85 and over who are veterans is
projected to increase from 400,000 in 2000 to
almost 1.2 million by 2010. The proportion
of men age 85 and over who are veterans is
projected to increase from 33 percent in 2000
to 66 percent in 2010.
v Between 2000 and 2010, the number of female
veterans age 85 and over is projected to increase
from about 30,000 to 98,000 but is projected to
decrease back to 50,000 by 2020.
Data for this indicator's chart and bullets
can be found in Tables 6a and 6b on pages
79-80.
i_
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000
2010
2020
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Economics
Indicator?: Poverty
Indicator 8: Income
Indicator 9: Sources of Income
Indicator 10: Net Worth
Indicator 11: Participation in the Labor Force
Indicator 12: Total Expenditures
Indicator 13: Housing Problems
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INDICATOR 7
Poverty
Poverty rates are one way to evaluate economic well-being. The official poverty definition is based on
annual money income before taxes and does not include capital gains, earned income tax credits, or
noncash benefits. To determine who is poor, the U.S. Census Bureau compares family income (or an
unrelated individual's income) with a set of poverty thresholds that vary by family size and composition
and are updated annually for inflation. People identified as living in poverty are at risk of having
inadequate resources for food, housing, health care, and other needs.
Poverty rate of the population, by age group, 1959-2007
Percent
100
90
80
70
60
50
40
30
20
10
65 and over
Under 18
18 to 64
Under 18
1959
i9 9
1974
1979
:9 4
19 9
!994
1999
?004 5007
• • • • Data not available.
NOTE: The poverty level is based on money income and does not include noncash benefits such as food stamps. Poverty thresholds reflect family size
and composition and are adjusted each year using the annual average Consumer Price Index. For more detail, see U.S. Census Bureau, Series P-60,
No.222. Poverty status in the Current Population Survey is based on prior year income.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 1960-2008.
V In 1959, older people had the highest poverty
rate (35 percent), followed by children (27
percent) and those in the working ages (17
percent). By 2007, the proportions of the older
population and those of working age living in
poverty were about 10 percent and 11 percent,
respectively, while 18 percent of children lived
in poverty.
V Older women (12 percent) were more likely
than older men (7 percent) to live in poverty in
2007. People age 65-74 had a poverty rate of 9
percent, compared with 11 percent of those age
75 and over.
V Race and ethnicity are related to poverty among
older men. In 2007, older non-Hispanic white
men were less likely than older black men,
older Hispanic men, and older Asian men to
live in poverty—about 5 percent compared
with 17 percent of older black men, 13 percent
of older Hispanic men, and 10 percent of older,
Asian men. However, the percentage of older
Hispanic men is not significantly different than
older black men or older Asian men.
V Older non-Hispanic white women (9 percent)
and older Asian women (12 percent) were less
likely than older black women (27 percent)
and older Hispanic women (20 percent) to
live in poverty. However, older non-Hispanic
white women in poverty were not statistically
different from Asian women in poverty.
All comparisons presented for this indicator
are significant at 0.10 confidence level. Data
for this indicator's charts and bullets can be
found in Tables 7a and 7b on pages 81-82.
1900 1910
1920 1930 1940 1950 1960 1970
1980
1990 2000 2010
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INDICATOR 8
Income
The percentage of people living below the poverty line does not give a complete picture of the economic
situation of older Americans. Examining the income distribution of the population age 65 and over and
their median income provides additional insights into their economic well-being.
Income distribution of the population age 65 and over, 1974-2007
1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004
2007
NOTE: The income categories are derived from the ratio of the family's income (or an unrelated individual's income) to the corresponding poverty threshold.
Being in poverty is measured as income less than 100 percent of the poverty threshold. Low income is between 100 percent and 199 percent of the poverty
threshold. Middle income is between 200 percent and 399 percent of the poverty threshold. High income is 400 percent or more of the poverty threshold.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 1975-2008.
older population also has been positive. In 1974,
the median household income for householders
age 65 and over was $20,838 when expressed in
2007 dollars. By 2007, the median household
income had increased to $29,393.
v Since 1974, the proportion of older people v The trend in median household income of the
living in poverty and in the low income group
has generally declined so that, by 2007, 10
percent of the older population lived in poverty
and 26 percent of the older population were in
the low income group.
V In 2007, people in the middle income group
made up the largest share of older people by
income category (33 percent). The proportion
with a high income has increased over time.
The proportion of the older population having a
high income rose from 18 percent in 1974 to 31
percent in 2007. All comparisons presented for this indicator
are significant at 0.10 confidence level. Data
for this indicator's charts and bullets can be
found in Tables 8a and 8b on pages 83-84.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 9
Sources of Income
Most older Americans are retired from full-time work. Social Security was developed as a floor of
protection for their incomes, to be supplemented by other pension income, income from assets, and to
some extent, continued earnings. Overtime, Social Security has taken on a greater importance to many
older Americans.
Sources of income for married couples and nonmarried people who are
age 65 and over, percent distribution, selected years 1962-2008
Percent
100
90
80
70
60
50
40
30
20
10
Percent
100
1962
1967
Other
Earnings
Pensions
Asset income
Social Security
1976 1980
1990
2000
2008
NOTE: A married couple is age 65 and over if the husband is age 65 and over or the husband is younger than age 55 and the wife is age 65 and over. The definition
of "other" includes, but is not limited to, public assistance, unemployment compensation, workers compensation, alimony, child support, and personal contributions.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Social Security Administration, 1963 Survey of the Aged, and 1968 Survey of Demographic and Economic Characteristics of the Aged; U.S. Census
Bureau, Current Population Survey, Annual Social and Economic Supplement, 1977-2009.
V Since the early 1960s, Social Security has
provided the largest share of aggregate income
for older Americans. The share of income from
pensions increased rapidly in the 1960s and
1970s to apeak in 1992 and has fluctuated since
then. The share of income from assets peaked
in the mid-1980s and has generally declined
since then. The share from earnings has had
the opposite pattern—declining until the mid-
1980s and generally increasing since then.
V In 2008, aggregate income for the population
aged 65 and over came largely from four
sources. Social Security provided 37 percent,
earnings provided 30 percent, pensions
provided 19 percent, and asset income
accounted for 13 percent. About 89 percent
of people age 65 and over live in families with
income from Social Security. About three-fifths
(59 percent) are in families with income from
assets, and two-fifths (44 percent) with income
from pensions. About two-fifths (38 percent)
are in families with earnings. About 1 in 20 (5
percent) are in families receiving cash public
assistance.
V Among married couples and nonmarried
people age 65 and over in the lowest fifth of the
income distribution, Social Security accounts
for 83 percent of aggregate income, and cash
public assistance for another 8 percent. For
those whose income is in the highest income
category, Social Security, pensions, and asset
income each account for almost a fifth of
aggregate income, and earnings accounts for
the remaining two-fifths.
1900 1910
1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 9
Sources of Income continued
Sources of income for married couples and nonmarried people who are
age 65 and over, by income quintile, percent distribution, 2008
Percent
100
Other
Public assistance
Earnings
Pensions
Asset Income
Social Security
Lowest fifth
Second fifth
Third fifth
Income Level
Fourth fifth
Highest fifth
NOTE: A married couple is age 65 and over if the husband is age 65 and over or the husband is younger than age 55 and the wire is age 65 and over. The
definition of "other" includes, but is not limited to, public assistance, unemployment compensation, worker's compensation, alimony, child support, and personal
contributions. Quintile limits are $12,082, $19,877, $31,303, and $55,889 for all units; $23,637, $35,794, $53,180, and $86,988 for married couples; and $9,929,
$14,265, $20,187, and $32,937 for nonmarried persons.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2009.
V For the population age 80 and over, a larger
percentage lived in families with Social
Security income (92 percent) and a smaller
percentage had earnings (22 percent) compared
to the population age 65-69 (83 percent and 55
percent, respectively).
V The financial situation of 2008 was the worst
economic downturn since the Great Depression
of the 1930s. This downturn could affect
income received in 2008 by the population age
55 and over. People aged 50-64 may have been
most affected by the downturn and people age
65 and over may have been least affected by
the downturn.6 Between the peak of October 9,
2007, and through January 2009, the Wilshire
5000 index of broad stock holdings decreased
by 47 percent.7 Retirement accounts of those
50 and over lost 18 percent of their value over
the 12 months8 and by May 2009, retirement
accounts lost $2.7 trillion or 31 percent since
September 2007.9 The economic downturn also
resulted in rising unemployment, decreasing
spending, and falling housing prices with
threats of foreclosure.10 There is likely to be a
negative impact on the economic well-being of
current and future retirees although it is unclear
the extent of the negative impact.7
Data for this indicator's charts and bullets
can be found in Tables 9 a, 9b, and9c on pages
85-86.
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INDICATOR 10
Net Worth
Net worth (the value of real estate, stocks, bonds, and other assets minus outstanding debts) is an
important indicator of economic security and well-being. Greater net worth allows a family to maintain
its standard of living when income falls because of job loss, health problems, or family changes such
as divorce or widowhood.
Median household net worth in 2005 dollars, by race of head of
household age 65 and over, selected years 1984-2007
Dollars, in thousands
500
450
400
350
300
250
200
150
100
50
White
Black
0
1984
1989
1994
1999
2001
2003
2005
2007
NOTE: Net worth data do not include pension wealth. This excludes private defined-contribution and defined-benefit plans as well as rights to Social Security
wealth. Data for 1984-2003 have been inflation adjusted to 2007 dollars. See Appendix B for the definition of race and Hispanic origin in the Panel Study of
Income Dynamics.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Panel Study of Income Dynamics.
V Between 1984 and 2007, the median net worth V In 2007, the median net worth of households
of households headed by white people aged headed by married people age 65 and older
65 and over increased by 125 percent, from ($385,000) was more than 2.5 times that of
$125,000 to $280,000. The median net worth households headed by unmarried people in the
of households headed by black people age 65 same age group ($152,000).
and over increased 63 percent from $28,200 to
$46,000.
V In 1984, the median net worth of households
headed by white people age 65 and over was
4 times that of households headed by black
people over 65. In 2007, the median net worth
of older white households was 6 times that of
older black households. This difference is less
than it was in 2003, when the median net worth
of white older households was 8 times higher
than older black households.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 10
Net Worth continued
Median household net worth in 2005 dollars, by educational attainment
of head of household, age 65 and over, selected years 1984-2007
Dollars, in thousands
500
450
1984
1989
1994
1999 2001
2003 2005
2007
NOTE: Net worth data do not include pension wealth. This excludes private defined-contribution and defined-benefit plans as well as rights to Social Security
wealth. Data for 1984-2003 have been inflation adjusted to 2007 dollars.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Panel Study of Income Dynamics.
Overall, between 1984 and 2007, the median
net worth of households headed by people age
65 and older increased by 117 percent (from
$109,000 to $237,000). The increase over the
last two years, from 2005, was 20 percent (from
$196,000 to $237,000).
In 2007, households headed by people age 65
and over with at least some college reported a
median household net worth ($434,400) more
than five times that of households headed by
older people without a high school diploma
($78,000).
Between 1984 and 2007, the median net worth
of households headed by people aged 65 and
over without a high school diploma increased by
28 percent. Almost all of this increase occurred
between 2005 and 2007; between 1984 and
2005, the median net worth in these households
remained approximately the same. By contrast,
between 1984 and 2007, the median net worth
of older households headed by those with some
college or more increased by 82 percent.
Data for this indicator's charts and bullets
can be found in Table 10 on page 87.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 11
Participation in the Labor Force
The labor force participation rate is the percentage of a group that is in the labor force—that is, either
working (employed) or actively looking for work (unemployed). Some older Americans work out of
economic necessity. Others may be attracted by the social contact, intellectual challenges, or sense of
value that work often provides.
Labor force participation rates of men age 55 and over, by age group,
annual averages, 1963-2008
Percent
100
90
80
70
60
50
40
30
20
10
55-61
1963
1968
1973
1978
1983
1988
1993
1998
2003
2008
NOTE: Data for 1994 and later years are not strictly comparable with data for 1993 and earlier years due to a redesign of the survey and
methodology of the Current Population Survey. Beginning in 2000, data incorporate population controls from Census 2000.
Reference population:These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, Current Population Survey.
0 In 2008, the labor force participation rate for
men age 55-61 was 76 percent, far below the
rate in 1963 (90 percent). The participation rate
for men age 62-64 declined from 76 percent in
1963 to a low of 45 percent in 1995, and has
gradually increased since then. In 2008, the
participation rate for men age 62-64 was 53
percent.
V Men age 65-69 also have experienced a gradual
rise in labor force participation following a
period of decline in the late 1960s and 1970s.
The labor force participation rate for men age
65-69 declined from a high of 43 percent in
1967 to 24 percent in 1985. Their participation
rate leveled off from the mid-1980s to the early
1990s and remained in the 24 to 26 percent
range. Beginning in the mid-1990s, the labor
force participation rate began to increase and
reached 36 percent in 2008.
V The participation rate for men age 70 and over
showed a similar pattern from 1963 to 2008.
In 1993, the labor force participation rate for
men age 70 and over reached a low of 10
percent after declining from 21 percent in 1963.
Since reaching the lows of the mid-1990s, the
participation rate for men age 70 and over has
trended higher and reached 15 percent in 2008.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 11
Participation in the Labor Force continued
Labor force participation rates of women age 55 and over, by age group,
annual averages, 1963-2008
Percent
100
1963
1968
1973
1978
1983
1988
1993
1998
2003
2008
NOTE: Data for 1994 and later years are not strictly comparable with data for 1993 and earlier years due to a redesign of the survey and
methodology of the Current Population Survey. Beginning in 2000, data incorporate population controls from Census 2000.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, Current Population Survey.
0 Among women age 55 and over, the labor force
participation rate rose over the past 4 decades.
The increase has been largest among women
age 55-61, rising from 44 percent in 1963
to 65 percent in 2008, with a majority of the
increase occurring after 1985. For women age
62-64, 65-69, and 70 years and over, most of
the increase in labor force participation began
in the mid-1990s.
V The labor force participation rate for older
women reflects changes in the work experience
of successive generations of women. Many
women now in their 60s and 70s did not work
outside the home when they were younger, or
they moved in and out of the labor force. As
new cohorts of baby boom women approach
older ages, they are participating in the labor
force at higher rates than previous generations.
As a result, in 2008, 65 percent of women age
55-61 were in the labor force, compared with
44 percent of women age 55-61 in 1963. Over
the same period, the labor force participation
rate for women age 62-64 increased from 29 to
42 percent, while the rate for women age 65-69
increased from 17 percent to 26 percent.
0 The difference between labor force participation
rates for men and women has narrowed over
time. Among people age 55-61, for example,
the gap between men's and women's rates in
2008 was 11 percentage points, compared with
46 percentage points in 1963.
Data for this indicator's charts and bullets
can be found in Table 11 on page 88.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 12
Total Expenditures
Expenditures are another indicator of economic well-being that show how the older population allocates
resources to food, housing, health care, and other needs. Expenditures may change with changes in
work status, health status, or income.
Household annual expenditures by expenditure category, by age of
reference person, percent distribution, 2008
Other
Food
Housing
Transportation
Health care
Personal insurance and pensions
55-64
65 and over
65-74
75 and over
NOTE: Other expenditures include apparel, personal care, entertainment, reading, education, alcohol, tobacco, cash contributions, and
miscellaneous expenditures. Data from the Consumer Expenditure Survey by age group represent average annual expenditures for
consumer units by the age of reference person, who is the person listed as the owner or renter of the home. For example, the data on
people age 65 and over reflect consumer units with a reference person age 65 or older. The Consumer Expenditure Survey collects and
publishes information from consumer units, which are generally defined as a person or group of people who live in the same household
and are related by blood, marriage, or other legal arrangement (i.e., a family), or people who live in the same household but who are
unrelated and financially independent from one another (e.g., roommates sharing an apartment). A household usually refers to a physical
dwelling, and may contain more than one consumer unit. However, for convenience the term "household" is substituted for "consumer
unit" in this text.
Reference population: These data refer to the resident noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, Consumer Expenditure Survey.
Housing accounts for the largest share of total
expenditures—one-third or more on average for
all groups of households with reference person
(i.e., a selected household owner or renter) age
55 or older. The share is largest (38 percent) for
households with reference person age 75 and
older, even though this group is the most likely
to own without a mortgage.
As a share of total expenditures, health care
expenditures increase dramatically with age.
For the 75 and older group, the share (14
percent) is twice as high as it is for the 55-64
year old group (7 percent), and is equal to the
share the older group allocates to transportation
(14 percent). For the 75 and older group,
vehicle insurance accounts for nearly one-
fourth of transportation expenditures, and for a
larger share of total expenditures (3.3 percent)
than drugs (2.4 percent) and medical supplies
(0.5 percent) combined.
0 Regardless of age group studied, the share of
total expenditures allocated to food is about
12 to 13 percent. Food at home accounts for
7 to 8 percent of total expenditures, and food
away from home accounts for 4 to 5 percent of
expenditures.
Data for this indicator's chart and bullets can
be found in Table 12 on page 89.
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INDICATOR 13
Housing Problems
Most older people live in adequate, affordable housing. For some, however, costly or physically
inadequate housing can pose serious problems to an older person's physical or psychological
well-being.
Percentage of all U.S. households and of households with any resident
age 65 and over that report housing problems, by type of problem,
selected years 1985-2007
Percent
100,-
90
80
70
60
50
40
30
20
10
0
1985 1989 1995 1997 1999 2001 2003 2005 2007
(All) All U.S. households; (65+) U.S. households with one or more residents age 65 and over.
* Although crowded housing is not a common problem for older people (less than 1 percent), it is included as one of three possible housing
problems under "housing problem(s)." See Tables 13aand13bin Appendix A for more information.
Reference population: These data refer to the resident noninstitutionalized population. People residing in noninstitutional group homes
are excluded.
SOURCE: Department of Housing and Urban Development, American Housing Survey.
• Housing problem(s), All
• — — _. f -
ACost burden, All
Physically inadequate housing, 65 +
Physically inadequate housing, All
V In 2007, 40 percent of households with people
age 65 and over had one or more of the
following types of housing problems: housing
cost burden, physically inadequate housing,
and/or crowded housing. This is slightly higher
than the occurrence of such problems among
all U.S. households which was 39 percent in
2007.
V The prevalence of housing cost burden, or
expenditures on housing and utilities that
exceeds 30 percent of household income, has
increased for all U.S. households but is slightly
more prevalent among households with people
age 65 and over in 2007. Between 1985 and
2007, housing cost burden for households with
older people increased from 30 percent to 37
percent. By comparison, the prevalence of
housing cost burden among all U.S. households
increased from 26 percent in 1985 to 35 percent
in 2007.
0 Physically inadequate housing, or housing with
severe or moderate physical problems such as
lacking complete plumbing or having multiple
upkeep problems, has become less common. In
2007, 4 percent of households with people age
65 and over had inadequate housing, compared
with 8 percent in 1985. In contrast, 5 percent
of U.S. households overall reported living in
physically inadequate housing during 2007
compared with 8 percent in 1985.
Data for this indicator's charts and bullets
can be found in Tables 13a and 13b on pages
89-92.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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-------
Health Status
Indicator 14:
Indicator 15:
Indicator 16:
Indicator 17:
Indicator 18:
Indicator 19:
Indicator 20:
Life Expectancy
Mortality
Chronic Health Conditions
Sensory Impairments and Oral
Health
Respondent-Assessed Health Status
Depressive Symptoms
Functional Limitations
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INDICATOR 14
Life Expectancy
Life expectancy is a summary measure of the overall health of a population. It represents the average
number of years of life remaining to a person at a given age if death rates were to remain constant. In
the United States, improvements in health have resulted in increased life expectancy and contributed to
the growth of the older population over the past century.
Life expectancy at ages 65 and 85, by sex, selected years 1900-2006
Years of life
25.—
20
15
10
Women, at age 65
'Men, at age 65
Women, at age 85
Men, at age 85
1900
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000 2006
NOTE: The life expectancies (LEs) for decennial years 1910 to 1990 are based on decennial census data and deaths for a 3-year period around the census year.
The LEs for decennial year 1900 are based on deaths from 1900 to 1902. LEs for years prior to 1930 are based on the death registration area only. The death
registration area increased from 10 states and the District of Columbia in 1900 to the coterminous United States in 1933. LEs for 2000-2006 are based on a
newly revised methodology that uses vital statistics death rates for ages under 66 and modeled probabilities of death for ages 66 to 100 based on blended vital
statistics and Medicare probabilities of dying and may differ from figures previously published.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
V Americans are living longer than ever before.
Life expectancies at both age 65 and age 85 have
increased. Under current mortality conditions,
people who survive to age 65 can expect to live
an average of 18.5 more years, about 4 years
longer than people age 65 in 1960. The life
expectancy of people who survive to age 85
today is 6.8 years for women and 5.7 years for
men.
V Life expectancy varies by race, butthe difference
decreases with age. In 2006, life expectancy at
birth was 5 years higher for white people than
for black people. At age 65, white people can
expect to live an average of 1.5 years longer
than black people. Among those who survive
to age 85, however, the life expectancy among
black people is slightly higher (6.7 years) than
white people (6.3 years).
V Life expectancy at age 65 in the United States
is lower than that of many other industrialized
nations. In 2005, women age 65 in Japan could
expect to live on average 3.7 years longer than
women in the United States. Among men, the
difference was 1.3 years.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 14
Life Expectancy continued
Average life expectancy for women at age 65, by selected countries or
areas, selected years 1980-2005
Years of life
25
20
15
10
Japan.
Canada
England & Wales
0
1980 1990 2000 2005
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, Health, United States, 2009."
Average life expectancy for men at age 65, by selected countries or
areas, selected years 1980-2005
Years of life
25
20
15
10
United States
-France
^ England & Wales
1980 1990 2000
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, Health, United States, 2009.11
2005
Data for this indicator's charts and bullets can
be found in Tables 14a, 14b, and 14c on pages
93 94.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 15
Mortality
Overall, death rates in the U.S. population have declined during the past century. But for some diseases,
death rates among older Americans have increased in recent years.
Death rates for selected leading causes of death among people age 65
and over, 1981-2006
Per 100,000
3,000
2,750
1985
1990
1995
2000
2006
NOTE: Death rates for 1981-1998 are based on the 9th revision of the International Classification of Diseases (ICD-9). Starting in 1999, death rates are
based on ICD-10 and trends in death rates for some causes may be affected by this change.12 For the period 1981-1998, causes were coded using ICD-9
codes that are most nearly comparable with the 113 cause list for the ICD-10 and may differ from previously published estimates. Rates are age adjusted
using the 2000 standard population.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
V In 2006, the leading cause of death among
people age 65 and over was diseases of heart
(heart disease) (1,297 deaths per 100,000
people), followed by malignant neoplasms
(cancer) (1,025 per 100,000), cerebrovascular
diseases (stroke) (297 per 100,000), chronic
lower respiratory diseases (279 per 100,000),
Alzheimer's disease (177 per 100,000), diabetes
mellitus (137 per 100,000), and influenza and
pneumonia (124 per 100,000).
0 Between 1981 and 2006, age-adjusted death
rates for all causes of death among people age
65 and over declined by 21 percent. Death
rates for heart disease and stroke declined by
about 50 percent. Age-adjusted death rates for
diabetes increased by 29 percent since 1981,
and death rates for chronic lower respiratory
diseases increased by 50 percent.
v Heart disease and cancer are the top two leading
causes of death among all people age 65 and
over, irrespective of sex, race, or Hispanic
origin.
V Other causes of death vary among older people
by sex and race and Hispanic origin. For
example, men have higher suicide rates than do
women at all ages, with the largest difference
occurring at age 85 and over (43 deaths per
100,000 population for men compared with 3
per 100,000 for women). Non-Hispanic white
men age 85 and over have the highest rate of
suicide overall at 48 deaths per 100,000.13
Data for this indicator's chart and bullets can
be found in Tables 15a, 15b, and 15c on pages
95 99.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 16
Chronic Health Conditions
Chronic diseases are long-term illnesses that are rarely cured. Chronic diseases such as heart disease,
stroke, cancer, and diabetes are among the most common and costly health conditions. Chronic health
conditions negatively affect quality of life, contributing to declines in functioning and the inability to
remain in the community.14 Many chronic conditions can be prevented or modified with behavioral
interventions. Six of the seven leading causes of death among older Americans are chronic diseases.
(See "Indicator 15: Mortality.")
Chronic health conditions among the population age 65 and over, by sex,
2007-2008
Percent
100
90
80
70
60
50
40
30
20
10
Men
Women
38
Heart Hypertension Stroke
disease
Asthma Chronic
bronchitis or
Emphysema
Any cancer Diabetes
Arthritis
NOTE: Data are based on a 2-year average from 2007-2008. See Appendix B for the definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
V The prevalence of certain chronic conditions
differs by sex. Women report higher levels of
arthritis and hypertension than men. Men report
higher levels of heart disease and cancer.
V There are differences by race and ethnicity in
the prevalence of certain chronic conditions.
In 2007-2008, among people age 65 and over,
non-Hispanic blacks report higher levels of
hypertension and diabetes than non-Hispanic
whites (71 percent compared with 54 percent
for hypertension and 30 percent compared with
16 percent for diabetes). Hispanics also report
higher levels of diabetes than non-Hispanic
whites (27 percent compared with 16 percent),
but lower levels of arthritis (42 percent
compared with 51 percent).
Data for this indicator's chart and bullets can
be found in Tables 16a and 16b on page 100.
-------
INDICATOR 17
Sensory Impairments and Oral Health
Vision and hearing limitations and oral health problems are often thought of as natural signs of aging.
However, early detection and treatment can prevent, or at least postpone, some of the debilitating
physical, social, and emotional effects these impairments can have on the lives of older people. Glasses,
hearing aids, and regular dental care are not covered services under Medicare.
Limitations in hearing and vision, and no natural teeth, among the
population 65 and over, by sex, 2008
Percent
100
90
80
70
60
50
40
30
20
10
0
Men
Women
42
27
Any trouble hearing
Any trouble seeing
No natural teeth
NOTE: Respondents were asked "WITHOUT the use of hearing aids or other listening devices, is your hearing excellent, good, a little trouble hearing,
moderate trouble, a lot of trouble, or are you deaf?" For the purposes of this indicator, the category "Any trouble hearing" includes: "a little trouble hearing,
moderate trouble, a lot of trouble, and deaf." This question differs slightly from the question used to calculate the estimates shown in previous editions of
Older Americans. Regarding their vision, respondents were asked "Do you have any trouble seeing, even when wearing glasses or contact lenses?" and the
category "Any trouble seeing" includes those who in a subsequent question report themselves as blind. Lastly, respondents were asked in one question,
"Have you lost all of your upper and lower natural (permanent) teeth?"
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
V In 2008,42 percent of older men and 30 percent
of older women reported trouble hearing. The
percentage with trouble hearing was higher for
people age 85 and over (60 percent) than for
people age 65-74 (28 percent). Eleven percent
of all older women and 18 percent of all older
men reported having ever worn a hearing aid.
V Vision trouble affects 18 percent of the older
population, 15 percent of men and 19 percent
of women. Among people age 85 and over, 28
percent reported trouble seeing.
V The prevalence of edentulism, having no
natural teeth, was higher for people age 85 and
over (34 percent) than for people age 65-74
(20 percent). Socioeconomic differences are
large. Forty-two percent of older people with
family income below the poverty line reported
no natural teeth compared with 23 percent of
people above the poverty threshold.
Data for this indicator's charts and bullets
can be found in Tables 17a and 17b on page
101.
-------
INDICATOR 18
Respondent-Assessed Health Status
Asking people to rate their health as excellent, very good, good, fair, or poor provides a common
indicator of health easily measured in surveys. It represents physical, emotional, and social aspects
of health and well-being. Respondent-assessed health ratings of poor correlate with higher risks of
mortality.15
Respondent-reported good to excellent health among the population
65 and older by age group, race, and Hispanic origin, 2006-2008
Percent
100,-
Non-Hispanic
white
Non-Hispanic
black
Hispanic
(of any race)
68
65 and over
65-74
75-84
85 and over
NOTE: Data are based on a 3-year average from 2006-2008. See Appendix B for the definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
0 During the period 2006-2008, 75 percent of
people age 65 and over rated their health as
good, very good, or excellent. Older men and
women report similar levels of health.
0 The proportion of people reporting good to
excellent health decreases among the oldest
age groups. Seventy-eight percent of those age
65-74 report good or better health. At age 85
and over, 66 percent of people report good or
better ratings. This pattern is also evident within
race and ethnic groups.
V Regardless of age, older non-Hispanic white
men and women are more likely to report
good health than their non-Hispanic black and
Hispanic counterparts. Non-Hispanic blacks
and Hispanics are similar to one another in their
positive health evaluations.
Data for this indicator's charts and bullets
can be found in Table 18 on page 102
-------
INDICATOR 19
Depressive Symptoms
Depressive symptoms are an important indicator of general well-being and mental health among older
adults. People who report many depressive symptoms often experience higher rates of physical illness,
greater functional disability, and higher health care resource utilization.16
Clinically relevant depressive symptoms among the population age 65 and
over, by sex, 1998-2006
Percent Percent
100,- 100,-
90
80
70
60
50
40
30
20
10
Men
12
12
12
11
10
90
80
70
60
50
40
30
20
10
Women
19
19
18
17
18
1998
2000
2002
2004
2006
1998
2000
2002
2004
2006
NOTE: The definition of "clinically relevant depressive symptoms" is four or more symptoms out of a list of eight depressive symptoms from an abbreviated
version of the Center of Epidemiological Studies Depression Scale (CES-D) adapted by the Health and Retirement Study (MRS). The CES-D scale is a
measure of depressive symptoms and is not to be used as a diagnosis of clinical depression. A detailed explanation concerning the "4 or more symptoms"
cut-off can be found in the following documentation, http://hrsonline.isr.umich.edu/docs/userg/dr-005.pdf. Proportions are based on weighted data using the
preliminary respondent weight from MRS 2006.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Health and Retirement Study.
V Older women are more likely to report clinically
relevant depressive symptoms than older men.
In 2006, 18 percent of women age 65 and over
reported depressive symptoms compared with
10 percent of men. There has been no significant
change in this sex difference between 1998 and
2006.
V The percentage of people reporting clinically
relevant symptoms has remained relatively
stable over the past few years. Between 1998
and 2006, the percentage of men who reported
depressive symptoms ranged between 10 and 12
percent. For women, the percentage reporting
these symptoms ranged from 17 to 19 percent.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 19
Depressive Symptoms continued
Clinically relevant depressive symptoms among the population age 65
and over, by age group and sex, 1998-2006
Percent
100
90
80
70
60
50
40
30
20
10
Total
Men
IWomen
14
17
19 18 19
65-69
70-74
75-79
80-84
85 and over
NOTE: The definition of "clinically relevant depressive symptoms" is four or more symptoms out of a list of eight depressive symptoms from anabbreviated
version of the Center of Epidemiological Studies Depression Scale (CES-D) adapted by the Health and Retirement Study (MRS). The CES-D scale is a
measure of depressive symptoms and is not to be used as a diagnosis of clinical depression. A detailed explanation concerning the "4 or more symptoms"
cut-off can be found in the following documentation, http://hrsonline.isr.umich.edu/docs/userg/dr-005.pdf. Proportions are based on weighted data using the
preliminary respondent weight from MRS 2006.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Health and Retirement Study.
V The prevalence of depressive symptoms is
related to age. In 2006, the proportion of
people age 65 and over with clinically relevant
symptoms was higher for people age 85 and
over (19 percent) than for people in any of the
younger groups (13 to 16 percent).
V In 2006, the percentage of men 85 and over
(almost 18 percent) reporting clinically
relevant depressive symptoms was twice (or
almost twice) that of men in any of the younger
age groups (8-10 percent). Prevalence of
depression among women age 65 and older did
not follow this same pattern; the percentage of
women reporting clinically relevant symptoms
ranges between 17 percent and 20 percent,
with women age 75-79 reporting the highest
prevalence.
Data for this indicator's charts and bullets
can be found in Tables 19a and 19b on page
103.
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INDICATOR 20
Functional Limitations
Functioning in later years may be diminished if illness, chronic disease, or injury limits physical and/
or mental abilities. Changes in functional limitation rates have important implications for work and
retirement policies, health and long-term care needs, and the social well-being of the older population.
Percentage of Medicare enrollees age 65 and over who have limitations in
activities of daily living (ADLs) or instrumental activities of daily living
(lADLs), or who are in a facility, selected years 1992-2007
Percent
100,-
90
80
70
60
50
40
30
20
10
0
lADLs only
1 to 2 ADLs
3 to 4 ADLs
I 5 to 6 ADLs
Facilitx
1992
1997
2001
2005
2007
NOTE: A residence is considered a long-term care facility if it is certified by Medicare or Medicaid; has 3 or more beds and is licensed as a nursing home or
other long-term care facility and provides at least one personal care service; or provides 24-hour, 7-day-a-week supervision by a caregiver. ADL limitations refer
to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: bathing, dressing, eating, getting in/out of chairs, walking, or
using the toilet. IADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using the telephone,
light housework, heavy housework, meal preparation, shopping, or managing money. Rates are age adjusted using the 2000 standard population. Data for 1992,
2001, and 2007 do not sum to the totals because of rounding.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V In 2007, 42 percent of people age 65 and over
reported a functional limitation. Fourteen
percent had difficulty performing one or
more lADLs but had no ADL limitations.
Approximately 25 percent had difficulty with at
least one ADL and 4 percent were in a facility.
V The age-adjusted proportion of people age 65
and over with a functional limitation declined
from 49 percent in 1992 to 42 percent in 2007.
There was a steady decrease in the percent with
limitations from 1992 until 1997. From 1997
to 2007 the overall levels have not significantly
changed although a smaller proportion of
this population is in a facility compared with
earlier years.
V Women have higher levels of functional
limitations than men. In 2007, 47 percent of
female Medicare enrollees age 65 and over
had difficulty with ADLs or lADLs, or were
in a facility, compared with 35 percent of male
Medicare enrollees. Overall rates of decline
since 1992 are similar for men and women;
however, a higher proportion of women are in
facilities compared with men.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 20
Functional Limitations continued
In addition to activities of daily living (ADLs) and instrumental activities of daily living (lADLs),
other measures can be used to assess physical, cognitive, and social functioning. Aspects of physical
functioning such as the ability to lift heavy objects, walk two to three blocks, or reach up over one's
head are more closely linked to physiological capabilities than are ADLs and lADLs, which also may
be influenced by social and cultural role expectations and by changes in technology.
Percentage of Medicare enrollees age 65 and over who are unable to
perform certain physical functions, by sex, 1991 and 2007
Percent Percent
100
90
80
70
60
50
40
30
20
10
0
r 100
90
80
Men
70
60
50
40
30
1919 2°
'8i ^ 2± "l • I10
• 1991 12007
-
.
Women
-
-
.
32 32
. ,,'" jm 18 ,,. II
1 • _ 1 1 1
Stoop/ Reach Write Walk Lift Any of Stoop/ Reach Write Walk Lift Any of
kneel over 2-3 10 Ibs. these knee| over 2-3 10 Ibs. these
head blocks five neacj blocks five
NOTE: Rates for 1991 are age adjusted to the 2007 population.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V Older women reported more problems with
physical functioning than older men. In 2007,
32 percent of women reported they were
unable to perform at least one of five activities,
compared with 19 percent of men.
V Problems with physical functioning were
more frequent at older ages. Among men aged
65-74, 13 percent reported they were unable to
perform at least one of five activities, compared
with 40 percent of men age 85 and over.
Among women, 22 percent of those age 65-74
were unable to perform at least one activity,
compared with 56 percent of those age 85
and over.
V Physical functioning was not strongly related
to race in 2007. Among men, 19 percent of
non-Hispanic whites were unable to perform
at least one activity, compared with 26 percent
of non-Hispanic blacks. Among women, there
were no significant differences among non-
Hispanic whites, non-Hispanic blacks, and
Hispanics, regarding ability to perform at least
one activity.
Data for this indicator's charts and bullets
can be found in Tables 20a, 2 Ob, 20c, and 20d
on pages 104 105.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
-------
Health Risks and Behaviors
Indicator 21:
Indicator 22:
Indicator 23:
Indicator 24:
Indicator 25:
Indicator 26:
Indicator 27:
Indicator 28:
Vaccinations
Mammography
Diet Quality
Physical Activity
Obesity
Cigarette Smoking
Air Quality
Use of Time
-------
INDICATOR 21
Vaccinations
Vaccinations against influenza and pneumococcal disease are recommended for older Americans, who
are at increased risk for complications from these diseases compared with younger individuals.17'18
Influenza vaccinations are given annually, and pneumococcal vaccinations are usually given once in a
lifetime. The costs associated with these vaccinations are covered under Medicare Part B.
Percentage of population age 65 and over vaccinated against influenza
and pneumococcal disease, by race and Hispanic origin, selected years
1989-2008
Percent
100
80
60
40
20
Influenza
Non-Hispanic whitei
Influenza Hispanic
! Pneumococcal
Non-Hispanic whit£»
Influenza
Non-Hispanic black
— -i.
i ^^"Pne
neumococcal disease
Non-Hispanic black
>- <~
^Pneumococcal disease
Hispanic
1989
1991
1993 1994 1995
1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
NOTE: For influenza, the percentage vaccinated consists of people who reported having a flu shot during the past 12 months and does not include receipt
of nasal spray flu vaccinations. For pneumococcal disease, the percentage refers to people who reported ever having a pneumonia vaccination.
See Appendix B for the definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
V In 2008, 67 percent of people age 65 and over
reported receiving a flu shot in the past 12
months; however, there are differences by race
and ethnicity. Seventy percent of non-Hispanic
whites reported receiving a flu shot compared
with 50 percent of non-Hispanic blacks and 55
percent of Hispanics.
V In 2008, 60 percent of people age 65 and over
had ever received a pneumonia vaccination.
Despite recent increases in the rates for all
groups, non-Hispanic whites were more likely
to have received a pneumonia vaccination (64
percent) compared with non-Hispanic blacks
(45 percent) or Hispanics (36 percent).
V The percent of older people receiving
vaccinations increases with age. In 2008,
79 percent of persons age 85 and older had
received a flu shot compared with 73 percent
among persons age 75-84 and 61 percent
among persons age 65-74. For pneumonia
vaccinations, 69 percent of persons 75-84 and
85 and older had ever received a pneumonia
vaccination compared with 53 percent among
persons 65-74.
Data for this indicator's charts and bullets
can be found in Tables 2 la and 21b on page
106.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 22
Mammography
Health care services and screenings can help prevent disease or detect it at an early, treatable stage.
Mammography has been shown to be effective in reducing breast cancer mortality among women age
50to74.19
Percentage of women age 50 and over who had a mammogram in the past
2 years, by age group, selected years 1987-2008
Percent
100
90
80
70
60
50
40
30
20
10
50-64
1987
19901991
19931994
199819992000
2003
2005
2008
NOTE: Questions concerning use of mammography differed slightly on the National Health Interview Survey across the years for which data are
shown. For details, see Health, United States 2009, Appendix II.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
0 Among women age 65 and over, the percentage
who had a mammogram within the preceding 2
years almost tripled from 23 percent in 1987 to
66 percent in 2008. While there was a significant
difference in 1987 between the percentage of
older non-Hispanic white women (24 percent)
and the percentage of older non-Hispanic black
women (14 percent) who reported having had
a mammogram, in recent years, this difference
has disappeared.
v Older women who were poor were less likely
to have had a mammogram in the preceding 2
years than older women who were not poor. In
2008, 49 percent of women age 65 and over
who lived in families with incomes less than
100 percent of the poverty threshold reported
having had a mammogram. Among older
women living in families with incomes 200
percent or more of the poverty threshold, 71
percent reported having had a mammogram.
0 Older women without a high school diploma
were less likely to have had a mammogram
than older women with a high school diploma.
In 2008, 49 percent of women age 65 and over
without a high school diploma reported having
had a mammogram in the preceding 2 years,
compared with 66 percent of women who had a
high school diploma and 76 percent of women
who had at least some college education.
Data for this indicator's charts and bullets
can be found in Table 22 on page 107.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 23
Diet Quality
Nutrition plays a significant role in the health of older Americans. A healthful diet can reduce
cardiometabolic risk factors, such as hypertension, diabetes, and obesity. The increase in the size of the
older population is paralleled by an increase in the prevalence of chronic diseases, such as cardiovascular
disease.20 Since diet is a modifiable lifestyle factor, dietary improvement can lead to reduced disease
risk and improved health in older adults. The Healthy Eating Index-2005 (HEI-2005)21'22 measures
how well diets conform to the recommendations of the 2005 Dietary Guidelines for Americans23 and
MyPyramid,24 USDA's food guidance system (http://www.MyPyramid.gov).
Average dietary component scores as a percent of federal diet quality
standards,3 population age 65 and older, by age group, 2003-2004
100100
65-74
I 65-74
75 and older
75 and older
Total Whole Total DGOVb Total Whole Milk Meat Oils
Fruit Fruit Vegetables and Grains Grains and
Legumes Beans
Adequacy components
60
I
64
I
32
I
38
\
51
I
62
I
Saturated Sodium Calories
Fat from
SoFAASc
Moderation components
3Federal diet quality standard is the Healthy Eating Index-2005; "Dark green and orange vegetables; cSolid fats, alcoholic beverages, and added sugars.
NOTE: The Healthy Eating Index-2005 (HEI-2005) comprises 12 components. Scores are averages across all adults and reflect long-term dietary intakes. The
scores are expressed here as percentages of recommended dietary intake levels. A score corresponding to 100 percent indicates that the recommendation was
met or exceeded, on average. A score below 100 percent indicates that average intake does not meet recommendations. Nine components of the HEI-2005
address nutrient adequacy. The remaining three components assess saturated fat, sodium, and calories from solid fats, alcoholic beverages, and added sugars,
all of which should be consumed in moderation. For the adequacy components, higher scores reflect higher intakes; for the moderation components, higher
scores reflect lower intakes because lower intakes are more desirable. For all components, a higher percentage indicates a higher-quality diet.
Reference population: These data refer to the resident noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health and Nutrition Examination Survey, 2003-2004 and
U.S. Department of Agriculture, Center for Nutrition Policy and Promotion, Healthy Eating Index-2005.
0 In 2003-2004, the average diet of older
Americans (age 65 and older) met or exceeded
the federal diet quality standards for three
components: whole fruit, total grains, and meat
and beans; however, nine dietary components
fell short.
0 On average, the diets of Americans 75 years
and older were superior in quality to the diets
of their younger counterparts, ages 65-74, for
total fruit, dark green and orange vegetables
and legumes, whole grains, milk, and oils;
however, for total vegetables, 65-74-year-olds
fared better than those 75 and older. The diet
quality standards were met or exceeded by both
age groups for whole fruit, total grains, and
meat and beans.
0 Average intakes of saturated fat, sodium, and
calories from solid fats, alcoholic beverages,
and added sugars were too high and failed to
meet the quality standards in both age groups.
0 To meet federal guidelines, older Americans
would need to reduce their intake of foods
containing solid fats and added sugars, limit
alcoholic beverages, and reduce their sodium
(salt) intake. Healthier eating patterns would
also include more vegetables, whole grains,
oils, and nonfat/lowfat milk products.
Data for this indicator's charts and bullets
can be found in Table 23 on page 108.
-------
INDICATOR 24
Physical Activity
Physical activity is beneficial for the health of people of all ages, including the 65 and overpopulation.
It can reduce the risk of certain chronic diseases, may relieve symptoms of depression, helps to maintain
independent living, and enhance overall quality of life.25'26 Research has shown that even among frail
and very old adults, mobility and functioning can be improved through physical activity.27
Percentage of population age 45 and over who reported engaging in regular
leisure time physical activity, by age group, 1997-2008
Percent
100,-
90
80
70
60
50
40
30
20
10
0
,45-64
T65 and over
75-84
85 and over
1997-1998
1999-2000
2001-2002
2003-2004
2005-2006
2007-2008
NOTE: Data are based on 2-year averages. "Regular leisure time physical activity" is defined as "engaging in light-moderate leisure time physical activity for
greater than or equal to 30 minutes at a frequency greater than or equal to five times per week, or engaging in vigorous leisure time physical activity for greater
than or equal to 20 minutes at a frequency greater than or equal to three times per week."
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
9 In 2007-2008, 22 percent of people age 65
and over reported engaging in regular leisure
time physical activity. The percentage of older
people engaging in regular physical activity
was lower at older ages, ranging from 25
percent among people age 65-74 to 11 percent
among people age 85 and over. Although there
was no significant change in the percentage
reporting physical activity between 1997 and
2008 among all people 65 and over, there were
small increases among people 75-84.
V Men age 65 and over are more likely than
women in the same age group to report
engaging in regular leisure time physical
activity (27 percent and 18 percent, respectively,
in 2007-2008). Older non-Hispanic white
people report higher levels of physical activity
than non-Hispanic black people (23 percent
compared with 13 percent for non-Hispanic
blacks in 2007-2008).
0 Other forms of physical activity also contribute
to overall health and fitness. Strength training
is recommended as part of a comprehensive
physical activity program among older adults
and may help to improve balance and decrease
risk of falls.28 Fourteen percent of older people
reported engaging in strengthening exercises in
2007-2008.
Data for this indicator's charts and bullets
can be found in Tables 24a and 24b on page
109.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 25
Obesity
Similar to cigarette smoking, obesity is a major cause of preventable disease and premature death.29
Both are associated with increased risk of coronary heart disease; Type 2 diabetes; endometrial, colon,
postmenopausal breast, and other cancers; asthma and other respiratory problems; osteoarthritis; and
disability.30-31
Percentage of population age 65 and over who are obese, by sex and age
group, selected years 1988-2008
Percent Percent
100,-
90
80
70
60
50
40
30
20
10
Men
100
90
80
70
60
I 65-74
75 and over
33
24
Women
39 40
36 37
. 27
1988- 1999- 2001- 2003- 2005- 2007-
1994 2000 2002 2004 2006 2008
1988- 1999- 2001- 2003- 2005- 2007-
1994 2000 2002 2004 2006 2008
NOTE: Data are based on measured height and weight. Height was measured without shoes. Obese is defined by a Body Mass Index (BMI) of 30
kilograms/meter2 or greater. See Appendix C for the definition of BMI.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health and Nutrition Examination Survey.
V As with other age groups, the percentage of v Older men followed similar trends; 24 percent
people age 65 and over who are obese has of men age 65-74 and 13 percent of men age 75
increased since 1988-1994. In 2007-2008, 32 and over were obese in 1988-1994, compared
percent of people age 65 and over were obese, with 40 percent of men age 65-74 and 26
compared with 22 percent in 1988-1994. percent of men age 75 and over in 2007-2008.
V In 2007-2008, 35 percent of women age 65-74 0 Over the past 9 years, the trend has leveled
and 27 percent of women age 75 and over were off, with no statistically significant change
obese. This is an increase from 1988-1994, in obesity for older men or women between
when 27 percent of women age 65-74 and 19 1999-2000 and 2007-2008.
percent of women age 75 and over were obese.
Data for this indicator's charts and bullets
can be found in Table 25 on page 110.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 26
Cigarette Smoking
Smoking has been linked to an increased likelihood of cancer, cardiovascular disease, chronic obstructive
lung diseases, and other debilitating health conditions. Among older people, the death rate for chronic
lower respiratory diseases (the fourth leading cause of death among people age 65 and over) increased
50 percent between 1981 and 2006. See "Indicator 15: Mortality." This increase reflects, in part, the
effects of cigarette smoking.32
Percentage of people age 65 and over who are current cigarette smokers, by
sex, selected years 1965-2008
Percent
100
90
80
70
60
50
40
30
20
10
Men
1965
1974
1979
1983
1990
1995
2000
2005 2008
NOTE: Data starting in 1997 are not strictly comparable with data for earlier years due to the 1997 National Health Interview Survey (NHIS) questionnaire
redesign. Starting with 1993 data, current cigarette smokers were defined as ever smoking 100 cigarettes in their lifetime and smoking now on every day or
some days. See Appendix B for the definiton of race and Hispanic origin in the NHIS.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
V The percentage of older Americans who are
current cigarette smokers declined between
1965 and 2008. Most of the decrease during this
period is the result of the declining prevalence
of cigarette smoking among men (from 29
percent in 1965 to 11 percent in 2008). For
the same period, the percentage of women
who smoke cigarettes has remained relatively
constant, increasing slightly from 10 percent in
1965 before declining to 8 percent in 2008.
V Among older men, blacks have a higher rate
of smoking than do whites (18 percent and 10
percent, respectively). The percentage of older
women who smoke is similar among whites
and African Americans.
v A large percentage of both men and women
age 65 and over are former smokers. In 2008,
55 percent of older men previously smoked
cigarettes, while 31 percent of women age 65
and over were former smokers.
Data for this indicator's charts and bullets
can be found in Tables 26a, 26b, and 26c on
pages 111 113.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 27
Air Quality
As people age, their bodies are less able to compensate for the effects of environmental hazards. Air
pollution can aggravate heart and lung disease, leading to increased medication use, more visits to
health care providers, admissions to emergency rooms and hospitals, and even death. An important
indicator for environmental health is the percentage of older adults living in areas that have measured
air pollutant concentrations above the level of the Environmental Protection Agency's (EPA) national
standards. Ozone and particulate matter (PM) (especially smaller, fine particle pollution called PM 2.5)
have the greatest potential to affect the health of older adults. Fine particle pollution has been linked to
premature death, cardiac arrhythmias and heart attacks, asthma attacks, and the development of chronic
bronchitis. Ozone, even at low levels, can exacerbate respiratory diseases such as chronic obstructive
pulmonary disease or asthma.33"37
Percentage of people age 65 and over living in counties with
air quality," 2000-2008
poor
Percent
100
2000
2001
2002
2003
2004
2005
2006
2007
2008
NOTE: The term 'poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS). The term
"any standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead. In 2008, EPA strengthened the
national standard for 8-hour ozone to 0.075 ppm and the national standard for lead to 0.15 ug/m3. This figure includes people living in counties that monitored
ozone and lead concentrations above the new levels. This results in percentages that are not comparable to previous publications.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S., U.S. Census Bureau, Population
Projections, 2000-2008.
0 In 2008, 36 percent of people age 65 and over
lived in counties with poor air quality for ozone
compared with 52 percent in 2000.
V A comparison of 2000 and 2008 shows a
reduction in PM 2.5. In 2000, 41 percent of
people age 65 and over lived in a county where
PM 2.5 concentrations were at times above the
EPA standards compared with 11 percent of
people age 65 and over in 2008.
0 The percentage of people age 65 and over living
in counties that experienced poor air quality for
any air pollutant decreased from 62 percent in
2000 to 38 percent in 2008.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 27
Air Quality continued
Air quality varies across the United States; thus, where people live can affect their health risk. Each
state monitors air quality and reports findings to the EPA. In turn, the EPA determines whether pollutant
measurements meet the standards that have been set to protect human health.
Counties with "poor air quality" for any standard in 2008
NOTE: The term "poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS).
The term "any standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S. Census Bureau, Population
Projections, 2000-2008.
In 2008, nearly 42 percent of the population
lived in a county where measured air pollutants
reached concentrations above EPA standards.
This percentage was fairly consistent across all
age groups, including people age 65 and over.
Overall, approximately 127 million people
lived in counties where monitored air in 2008
was unhealthy at times because of high levels
of at least one of the six principal air pollutants:
ozone, particulate matter (PM), nitrogen dio-
xide, sulfur dioxide, carbon monoxide, and lead.
The vast majority of areas that experienced
unhealthy air did so because of one or both of
two pollutants—ozone and PM.
Data for this indicator's charts and bullets
can be found in Tables 27a and 27b on pages
113-117.
-------
INDICATOR 28
Use of Time
How individuals spend their time reflects their financial and personal situations, needs, or desires.
Time-use data show that as Americans get older, they spend more of their time in leisure activities.
Percentage of day that people age 55 and over spent doing selected
activities on an average day, by age group, 2008
Percent
100
90
80
70
60
50
40
30
20
10
0
Caring for and helping others
Sleeping
Grooming
Leisure activities
Work and work-related activities
Household activities
Purchasing goods and services
Eating and drinking
Other activities
55-64
65-74
75 and over
NOTE: "Other activities''includes activities such as educational activities; organizational.civic,and religious activities; and telephone
calls. Chart includes people who did not work at all.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, American Time Use Survey.
In 2008, older Americans spent on average
more than one-quarter of their time in leisure
activities. This proportion increased with age:
Americans 75 and over spent 32 percent of
their time in leisure compared with 24 percent
for those age 55-64.
v On an average day, people age 55-64 spent 15
percent of their time (about 4 hours) working or
doing work-related activities compared with 5
percent (about one hour) for people age 65-74
and 2 percent (less than 30 minutes) for people
age 75 and over.
-------
INDICATOR 28
Use of Time continued
Leisure activities are those done when free from duties such as working, household chores, or caring for
others. During these times, individuals have flexibility in choosing what to do.
Percentage of total leisure time that people age 55 and over spent doing
selected leisure activities on an average day, by age group, 2008
Percent
100
90
80
70
60
50
40
30
20
10
0
Watching TV
Socializing and communicating
Reading
Relaxing and thinking
Participation in sports, exercise, and recreation
Other leisure activities (including related travel)
55-64
65-74
75 and over
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, American Time Use Survey.
Watching TV was the activity that occupied the
most leisure time—slightly more than one-half
the total—for Americans age 55 and over.
V Americans age 75 and over spent a higher
percentage of their leisure time reading (14
percent versus 9 percent) and relaxing and
thinking (10 percent versus 5 percent) than did
Americans age 55-64.
V The proportion of leisure time that
older Americans spent socializing and
communicating—such as visiting friends or
attending or hosting social events—declined
with age. For Americans age 55-64, 13 percent
of leisure time was spent socializing and
communicating compared to 8 percent for those
age 75 and over.
Data for this indicator's charts and bullets can
be found in Tables 28a and 28b on page 118.
-------
-------
Health Care
Indicator 29:
Indicator 30:
Indicator 31:
Indicator 32:
Indicator 33:
Indicator 34:
Indicator 35:
Indicator 36:
Indicator 37:
Use of Health Care Services
Health Care Expenditures
Prescription Drugs
Sources of Health Insurance
Out-of-Pocket Health Care
Expenditures
Sources of Payment for Health Care
Services
Veterans' Health Care
Residential Services
Personal Assistance and Equipment
-------
INDICATOR 29
Use of Health Care Services
Most older Americans have health insurance through Medicare. Medicare covers a variety of services,
including inpatient hospital care, physician services, hospital outpatient care, home health care, skilled
nursing facility care, hospice services, and (beginning in January 2006) prescription drugs. Utilization
rates for many services change over time because of changes in physician practice patterns, medical
technology, Medicare payment amounts, and patient demographics.
Medicare-covered hospital and skilled nursing facility stays per 1,000
Medicare enrollees age 65 and over in fee-for-service, 1992-2007
Stays per 1,000
500
450
400
350
300
250
200
150
100
50
Hospital stays
Skilled nursing facility stays
0
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
NOTE: Beginning in 1994, managed care enrollees were excluded from the denominator of all utilization rates because utilization data are not available for
them. Prior to 1994, managed care enrollees were included in the denominators; they comprised 7 percent or less of the Medicare population.
Reference population: These data refer to Medicare enrollees in fee-for-service.
SOURCE: Centers for Medicare and Medicaid Services, Medicare claims and enrollment data.
0 Overall, between 1992 and 1999, the
hospitalization rate increased from 306 hospital
stays per 1,000 Medicare enrollees to 365 per
1,000. The rate then decreased to 336 per
1,000 enrollees in 2007. The average length of
a hospital stay decreased from 8.4 days in 1992
to 5.6 days in 2007.
0 Skilled nursing facility stays increased
significantly from 28 per 1,000 Medicare
enrollees in 1992 to 81 per 1,000 in 2007. Much
of the increase occurred from 1992 to 1997.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 29
Use of Health Care Services continued
Medicare-covered physician and home health care visits per 1,000
Medicare enrollees age 65 and over in fee-for-service, 1992-2007
Visits per 1,000
15,000
Implementation of the
Balanced Budget Act
Physician visits
and consultations
I
Note: The vertical scale used in this chart is
not comparable to the vertical scale used in
the preceding chart on page 48. Physician
visits and consultations and home health
care visits are much more common among
people age 65 and over than either
hospitalizations or skilled nursing facility
admissions.
12,500
10,000
7,500
5,000
2,500
0
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
• • • • Data on physician visits and consultations are not available for 1997,1999, 2006, and 2007.
NOTE: Physician visits and consultations include all settings, such as physician offices, hospitals, emergency rooms, and nursing homes. The definition of
physician visits and consultations changed beginning in 2003, resulting in a slightly lower rate. Beginning in 1994, managed care enrollees were excluded
from the denominator of all utilization rates because utilization data are not available for them. Prior to 1994, managed care enrollees were included in the
denominators; they comprised 7 percent or less of the Medicare population.
Reference population: These data refer to Medicare enrollees in fee-for-service.
SOURCE: Centers for Medicare and Medicaid Services, Medicare claims and enrollment data.
0 Overall, between 1992 and 2005, the number
of physician visits and consultations increased.
There were 11,359 visits and consultations per
1,000 Medicare enrollees in 1992, compared
with 13,914 in 2005.
V The number of home health care visits per
1,000 Medicare enrollees increased from 3,822
in 1992 to 8,376 in 1996. Home health care
use increased during this period in part because
of an expansion in the coverage criteria for the
Medicare home health care benefit.38 Home
health care visits declined after 1997 to 2,295
per 1,000 enrollees in 2001. The decline
coincided with changes in Medicare payment
policies for home health care resulting from
implementation of the Balanced Budget Act
of 1997. The visit rate increased thereafter to
3,409 per 1,000 enrollees in 2007.
Use of skilled nursing facility and home
health care increased with age. In 2007, there
were 32 skilled nursing facility stays per 1,000
Medicare enrollees age 65-74, compared with
227 per 1,000 enrollees age 85 and over. Home
health agencies made 1,713 visits per 1,000
enrollees age 65-74, compared with 7,333 per
1,000 for those age 85 and over.
Data for this indicator's charts and bullets
can be found in Tables 29a and 29b on page
119.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 30
Health Care Expenditures
Older Americans use more health care than any other age group. Health care costs are increasing at the
same time the baby boom generation is approaching retirement age.
85 and over
,75-84
Average annual health care costs for Medicare enrollees age 65 and over,
by age group, 1992-2006
Dollars
24,000
22,000
20,000
18,000
16,000
14,000
12,000
10,000
8;000
6,000
4,000
2,000
0
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
— — — — Data are not available for 2005.
NOTE: Data include both out-or-pocket costs and costs covered by insurance.
Dollars are inflation-adjusted to 2006 using the Consumer Price Index (Series CPI-U-RS).
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V After adjusting for inflation, health care costs
increased significantly among older Americans
from 1992 to 2006. Average costs rose
substantially with age.
0 Average health care costs varied by
demographic characteristics. Average costs
among non-Hispanic blacks were $18,098 in
2006, compared with $ 14,144 among Hispanics.
Low-income individuals incurred higher health
care costs; those with less than $10,000 in
income averaged $21,033 in health care costs
whereas those with more than $30,000 in
income averaged only $12,440.
V Costs also varied by health status. Individuals
with no chronic conditions incurred $5,186 in
health care costs on average. Those with five
or more conditions incurred $25,132. Average
costs among residents of long-term care
facilities were $57,022, compared with only
$12,383 among community residents.
V Access to health care is determined by a
variety of factors related to the cost, quality,
and availability of health care services. The
percentage of older Americans who reported
they delayed getting care because of cost
declined from 9.8 percent in 1992 to about 5
percent in 1997 and remained relatively constant
thereafter. The percentage who reported
difficulty obtaining care varied between 2
percent and 3 percent.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 30
Health Care Expenditures continued
Health care costs can be broken down into different types of goods and services. The amount of money
older Americans spend on health care and the type of health care that they receive provide an indication
of the health status and needs of older Americans in different age and income groups.
Major components of health care costs among Medicare enrollees age
65 and over, 1992 and 2006
Other
Prescription drugs
Home health care
Long-term care facility
Physician/outpatient
hospital
Inpatient hospital
1992
2006
NOTE: Data include both out-of-pocket costs and costs covered by insurance. "Other" includes short-term institutions, hospice services, and dental care.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
0 Hospital and physician services are the largest
components of health care costs. Long-term
care facilities accounted for 13 percent of total
costs in 2006. Prescription drugs accounted for
16 percent of health care costs.
V The mix of health care services changed
between 1992 and 2006. Inpatient hospital care
accounted for a lower share of costs in 2006
(25 percent compared with 32 percent in 1992).
Prescription drugs increased in importance from
8 percent of costs in 1992 to 16 percent in 2006.
"Other" costs (short-term institutions, hospice
and dental care) also increased as a percentage
of all costs (4 percent to 9 percent).
The mix of services varied with age. The
biggest difference occurred for long-term care
facility services; average costs were $7,182
among people age 85 and over, compared
with just $547 among those age 65-74. Costs
of home health care and "other" services also
were higher at older ages. Costs of physician/
outpatient services and prescription drugs did
not show a strong pattern by age.
Data for this indicator's charts and bullets
can be found in Tables 30a, 3 Ob, 30c, 30d,
and 30e on pages 120-122.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 31
Prescription Drugs
Prescription drug costs have increased rapidly in recent years, as more new drugs become available.
Lack of prescription drug coverage has created a financial hardship for many older Americans. Medicare
coverage of prescription drugs began in January 2006, including a low-income subsidy for beneficiaries
with low incomes and assets.
Average annual prescription drug costs for noninstitutionalized Medicare
enrollees age 65 and over, by sources of payment, 1992-2004
Dollars
2,200
2,000
1,800
1,600
1,400
1,200
1,000
800
600
400
200
0
Public programs
1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
NOTE: Dollars have been inflation-adjusted to 2004 using the Consumer Price Index (Research Series). Reported costs have been adjusted by a factor of
1.205 to account for underreporting of prescription drug use. Public programs include Medicare, Medicaid, Department of Veterans Affairs, and other state
and federal programs. Data for 2005 and 2006 were not available in time to include in this report.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V Average prescription drug costs for older 0 Costs varied significantly among individuals.
Americans have increased rapidly in recent Approximately 8 percent of older Americans
years. Average costs per person were $2,107 incurred no prescription drug costs in 2004.
in 2004. About 24 percent incurred $2,500 or more in
prescription drug costs that year.
V Average out-of-pocket costs also increased,
though not as much as total costs because
private and public insurance covered more
of the cost over time. Older Americans paid
60 percent of prescription drug costs out of
pocket in 1992, compared with 36 percent in
2004. Private insurance covered 38 percent of
prescription drug costs in 2004; public programs
covered 25 percent.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
-------
INDICATOR 31
Prescription Drugs continued
Under Medicare Part D, beneficiaries may join a standalone prescription drug plan or a Medicare
Advantage plan that provides prescription drug coverage in addition to other Medicare-covered
services. In situations where beneficiaries receive drug coverage from a former employer, the former
employer may be eligible to receive a retiree drug subsidy from Medicare to help cover the cost of the
drug benefit.
Number of Medicare enrollees age 65 and over who enrolled in a Part D
prescription drug plan or were covered under the Retiree Drug Subsidy,
June 2006 and December 2009
Enrollment in millions
25 i—
20
15
10
No low-income subsidy
I Low-income subsidy
Part D plan
Retiree drug subsidy
Part D plan
Retiree drug subsidy
June 2006 December 2009
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Management Information Integrated Repository.
V The number of Medicare beneficiaries enrolled
in Part D prescription drug plans increased
from 18.2 million (51 percent of beneficiaries)
in June 2006 to 22.2 million (57 percent of
beneficiaries) in December 2009. In December
2009,61 percent of plan enrollees were in stand-
alone plans and 39 percent were in Medicare
Advantage plans. Approximately 6.2 million
beneficiaries were covered by the retiree drug
subsidy. Beneficiaries who were not in Part D
plans and not covered by the retiree drug subsidy
either had drug coverage through another
source (e.g., TRICARE, Federal Employees
Health Benefits plan, Department of Veterans'
Affairs, current employer) or did not have drug
coverage.
V In December 2009, 6.1 million Part D enrollees
were receiving low-income subsidies. Many of
these beneficiaries had drug coverage through
the Medicaid program prior to enrollment in
Part D.
0 Chronic conditions are associated with
high prescription drug costs. In 2004, older
Americans with no chronic conditions incurred
average prescription drug costs of $800. Those
with five or more chronic conditions incurred
$3,862 in prescription drug costs on average.
Data for this indicator's charts and bullets
can be found in Tables 3 la, 31b, 31c and 3 Id
on pages 122-123.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 32
Sources of Health Insurance
Nearly all older Americans have Medicare as their primary source of health insurance coverage. Medicare
covers mostly acute care services and requires beneficiaries to pay part of the cost, leaving about half of
health spending to be covered by other sources. Many beneficiaries have supplemental insurance to fill
these gaps and pay for services not covered by Medicare. Prior to 2006, many beneficiaries received
prescription drug coverage through supplemental insurance. Since January 2006, beneficiaries have
had the option of receiving prescription drug coverage under Medicare through stand-alone prescription
drug plans or through some Medicare Advantage health plans.
Percentage of noninstitutionalized Medicare enrollees age 65 and over
with supplemental health insurance, by type of insurance, 1991-2007
Percent
100 ,_
90
80
70
60
Private (Medigap) '
Private (employer
or union sponsored)
50
40
30
20
10
0
1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007
* Includes people with private supplement of unknown sponsorship.
NOTE: HMO/health plans include Health Maintenance Organizations (HMOs), Preferred Provider Organizations (PPOs), and privatefee-for-service
plans (PFFSs). Not all types of plans were available in all years. Since 2003 these types of plans have been known collectively as Medicare
Advantage. Estimates are based on enrollees' insurance status in the fall of each year. Categories are not mutually exclusive (i.e., individuals may
have morethan one supplemental policy). Chart excludes enrollees whose primary insurance is not Medicare (approximately 1 to 2 percent of
enrollees). Medicaid coverage was determined from both survey responses and Medicare administrative records.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V Most Medicare enrollees have a private
insurance supplement, approximately equally
split between employer-sponsored and Medigap
policies. The percentage with Medicaid
coverage has increased from 10 percent in 2000
to 12 percent in 2007. Enrollment in Medicare
HMOs and other health plans, which are usually
equivalent to Medicare supplements because
they offer extra benefits, varied between 6
percent and 22 percent. About 13 percent of
Medicare enrollees reported having no health
insurance supplement in 2007.
V Enrollment in HMOs and other health plans
increased in the 1990s, decreased from 2000
to 2003 (as many plans withdrew from the
Medicare program), then increased again,
following establishment of the Medicare
Advantage program. The percent of Medicare
enrollees without a supplement increased from
10 percent in 2000 to 13 percent in 2007.
Data for this indicator's charts and bullets
can be found in Tables 32a and 32b on page
124.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 33
Out-of-Pocket Health Care Expenditures
Large out-of-pocket expenditures for health care service use have been shown to encumber access to
care, affect health status and quality of life, and leave insufficient resources for other necessities.39'40
The percentage of household income that is allocated to health care expenditures is a measure of health
care expense burden placed on older people.
Out-of-pocket health care expenditures as a percentage of household
income, among noninstitutionalized people age 65 and over, by age and
income category, 1977 and 2006
Percent Percent
100,_ 100,_ 1977 12006
90
80
70
60
50
40
30
20
10
0
Poor/Near poor
income category
90
80
70
60
50
40
28
Other income
category
65 and over 65-74
75-84 85 and over
56 55
J
65 and over 65-74
NOTE: Out-of-pocket health care expenditures exclude personal spending for health insurance premiums. Including expenditures for out-of-pocket premiums
in the estimates of out-of-pocket spending would increase the percentage of household income spent on health care in all years. People are classified into the
"poor/near poor" income category if their household income is below 125 percent of the poverty level; otherwise, people are classified into the "other" income
category. For people with no out-of-pocket expenditures the ratio of out-of pocket spending to income was set to zero. For additional details on how the ratio
of out-of-pocket spending to income and the poverty level were calculated, see Table 33b in Appendix A.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Agency for Healthcare Research and Quality, Medical Expenditure Panel Survey (MEPS), and MEPS predecessor surveys.
0 The percentage of people age 65 and over with
out-of-pocket spending for health care services
increased between 1977 and 2006 (83 percent
to 95 percent, respectively).
V From 1977 to 2006 the percentage of household
income that people age 65 and over allocated to
out-of-pocket spending for health care services
increased among those in the poor/near poor
income category from 12 percent to 28 percent.
Increases were also observed for those in poor
or fair health (from 10 percent to 13 percent)
as well as for those in excellent, very good, or
good health (from 6 percent to 8 percent).
V In 2006, as in the 6 previous years, over one-
half of out-of-pocket health care spending by
noninstitutionalized people age 65 and over
was used to purchase prescription drugs. The
percentage of out-of-pocket spending for
prescription drugs increased from 2000 to 2004
(54 percent to 61 percent, respectively) then
decreased starting in 2005.
V In 2006, people age 85 and over spent a lower
proportion of out-of-pocket dollars than people
age 65-74 on dental services and office-based
medical provider visits but a higher proportion
on other health care (e.g., home health care).
Data for this indicator's chart and bullets can
be found in Tables 33a, 33b, and33c on pages
125-128.
i_
1900 1910 1920 1930 1940 1950 1960 1970
1980
1990 2000 2010
-------
INDICATOR 34
Sources of Payment for Health Care Services
Medicare covers about one-half of the health care costs of Medicare enrollees age 65 and over.
Medicare's payments are focused on acute care services such as hospitals and physicians. Nursing home
care, prescription drugs, and dental care have been primarily financed out-of-pocket or by other payers.
Medicare coverage of prescription drugs began in January 2006, including a low-income subsidy.
Sources of payment for health care services for Medicare enrollees age
65 and over, by type of service, 2006
Average
$239 $3 695 $442 $728 $3,956 $1,290 $2351 $346 $2,034 $15,081 cost Per
100,— ^^^^_ ' ^^^^_ . ' ^^^^_ . _ enrollee
90
80
70
260
CD
Q_
50
40
30
20
10
Hospice Inpatient Home Short- Physician/ Out- Prescription Dental Long-term All
hospital health term Medical patient drugs care
care institution hospital facility
NOTE: "Other" refers to private insurance, Department of Veterans Affairs, and other public programs.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Other
Out-of
pocket
Medicaid
Medicare
V Medicare paid for slightly more than half (55
percent) of the health care costs of Medicare
enrollees age 65 and over in 2006. Medicare
finances most of their hospital and physician
costs, as well as a majority of short-term
institutional, home health, and hospice costs.
V Medicaid covered 7 percent of health care costs
of Medicare enrollees age 65 and over, and other
payers (primarily private insurers) covered
another 19 percent. Medicare enrollees age 65
and over paid 19 percent of their health care
costs out of pocket, not including insurance
premiums.
V In 2006, 47 percent of long-term care facility
costs for Medicare enrollees age 65 and over
were covered by Medicaid; another 45 percent of
these costs were paid out of pocket. Twenty-six
percent of prescription drug costs for Medicare
enrollees age 65 and over were covered by
Medicare, 45 percent were covered by third-
party payers other than Medicare and Medicaid
(consisting mostly of private insurers), and
26 percent were paid out of pocket. Seventy-
seven percent of dental care received by older
Americans was paid out of pocket.
V Sources of payment for health care vary by
income. Lower-income individuals rely heavily
on Medicaid; those with higher incomes rely
more on private insurance. Lower-income
individuals pay a lower percent of health care
costs out of pocket, but have a higher average
cost for services than individuals with higher
incomes.
Data for this indicator's charts and bullets
can be found in Tables 34a and 34b on page
129.
-------
INDICATOR 35
Veterans' Health Care
The numbers of veterans age 65 and over who receive health care from the Veterans Health Administration
(VHA), within the Department of Veterans Affairs (VA), has been steadily increasing. This increase may
be because VHA fills important gaps in older veterans' health care needs not currently covered or fully
covered by Medicare, such as mental health services, long-term care (nursing home care and community-
based care), and specialized services for the disabled. In addition, as the largest integrated health care
system in the country, VHA provides broader geographic access to these important services.
Veterans age 65 and over enrolled in or receiving care from the Veterans
Health Administration, 1990-2008
Millions
12
10
VA health care VA health care
reform begins enrollment begins
T T
Veteran population
age 65 and over
VAenrollees
age 65 and over
VA patients
age 65 and over
0
1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
NOTE: Department of Veterans Affairs (VA) enrollees are veterans who have signed up to receive health care from the Veterans Health Administration (VHA).
VA patients are veterans who have received care each year through VHA. The methods used to calculate VA patients differ from those used in Older
Americans 2004 and Older Americans Update 2006. Veterans who received care but were not enrolled in VA are now included in patient counts. VHA Vital
Status files from the Social Security Administration (SSA) are now used to ascertain veteran deaths.
Reference population: These data refer to the total veteran population, VHA enrollment population, and VHA patient population.
SOURCE: Department of Veterans Affairs, Veteran Population 2007; Fiscal 2009 Year-end Office of the Assistant Deputy Under Secretary for Health for Policy
and Planning Enrollment file linked with September 2009 VHA Vital Status data (including data from VHA, VA, Medicare, and SSA).
V In 2008, approximately 2.2 million veterans
age 65 and over received health care from the
VHA. An additional 1.2 million older veterans
were enrolled to receive health care from the
VHA but did not use its services in 2008.
V Reforms and initiatives implemented by the VA
since 1996 have led to an increased demand for
VHA services among veterans despite the short-
term decline in the numbers of older veterans
(see "Indicator 6: Older Veterans"). Some of
the changes include: implementing enrollment
for VHA health care and opening the system to
all veterans (1999) and reopening enrollment
to Priority 8 veterans with incomes up to 110
percent of the Geographic Means Test/Veterans
Means Test Thresholds (2009).
V Older veterans continue to turn to VHA for
their health care needs, despite their eligibility
for other sources of health care. VHA estimates
that approximately one-third of its enrollees
age 65 and over are enrolled in Medicare Part
D. Approximately 22 percent of enrollees
age 65 and over have some form of private
insurance. Another 14 percent are enrolled in
TRIG ARE for Life and 12 percent are eligible
for Medicaid. In contrast, about 4 percent of
VHA enrollees age 65 and over report having
no other public or private coverage.41
Data for this indicator's chart and bullets can
be found in Table 35 on page 130.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 36
Residential Services
Some older Americans living in the community have access to various services through their place of
residence. Such services may include meal preparation, laundry and cleaning services, and help with
medications. Availability of such services through the place of residence may help older Americans
maintain their independence and avoid institutionalization.
Percentage of Medicare enrollees age 65 and over in selected residential
settings, by age group, 2007
Percent
100
90
80
70
60
50
40
30
20
10
Long-term care facilities
Community housing
with services
Traditional community
65 and over
65-74
75-84
85 and over
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing,
continuing care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and other similar situations, AND who
reported they had access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry
services; help with medications. Respondents were asked about access to these services, but not whether they actually used the services. A residence (or unit)
is considered a long-term care facility if it is certified by Medicare or Medicaid; or has three or more beds and is licensed as a nursing home or other long-term
care facility and provides at least one personal care service; or provides 24-hour, seven-day-a-week supervision by a non-family, paid caregiver.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
0 In 2007, 2 percent of the Medicare population
age 65 and over resided in community housing
with at least one service available. Four
percent resided in long-term care facilities. The
percentage of people residing in community
housing with services and in long-term care
facilities was higher for the older age groups;
among individuals age 85 and over, 7 percent
resided in community housing with services,
and 15 percent resided in long-term care
facilities. Among individuals age 65-74, 98
percent resided in traditional community
settings.
V Among residents of community housing with
services, 87 percent reported access to meal
preparation services; 84 percent reported
access to housekeeping/cleaning services; 72
percent reported access to laundry services;
and 51 percent reported access to help with
medications. These numbers reflect percentages
reporting availability of specific services, but
not necessarily the number that actually used
these services.
V Sixty-five percent of residents in community
housing with services reported that there were
separate charges for at least some services.
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INDICATOR 36
Residential Services continued
Percentage of Medicare enrollees age 65 and over with functional
limitations, by residential setting, 2007
Percent
100
90
80
70
60
50
40
30
20
10
3 or more ADL limitations
1-2 ADL limitations
IADL limitations only
No functional limitations
Traditional
community
Community housing
with services
Long-term
care facility
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing,
continuing care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and other similar situations, AND who
reported they had access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry
services; help with medications. Respondents were asked about access to these services, but not whether they actually used the services. A residence (or unit)
is considered a long-term care facility if it is certified by Medicare or Medicaid; or has three or more beds and is licensed as a nursing home or other long term care
facility and provides at least one personal care service; or provides 24-hour, seven-day-a-week supervision by a non-family, paid caregiver. Instrumental activities
of daily living (IADL) limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using the telephone;
light housework; heavy housework; meal preparation; shopping; managing money. Activities of daily living (ADL) limitations refer to difficulty performing (or
inability to perform for a health reason) the following tasks: bathing; dressing; eating; getting in/out of chairs; walking; using the toilet. Long-term care facility
residents with no limitations may include individuals with limitations in certain lADLs: doing light or heavy housework or meal preparation. These questions were
not asked of facility residents.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
V People living in community housing with
services had more functional limitations
than traditional community residents, but
not as many as those living in long-term care
facilities. Forty-six percent of individuals
living in community housing with services
had at least one activity of daily living (ADL)
limitation compared with 25 percent of
traditional community residents. Among long-
term care facility residents, 83 percent had at
least one ADL limitation. Thirty-six percent of
individuals living in community housing with
services had no ADL or instrumental activities
of daily living (IADL) limitations.
0 The availability of personal services in
residential settings may explain some of the
observed decline in nursing home use.
V Residents of community housing with services
tended to have similar incomes to traditional
community residents, and higher incomes than
long-term care facility residents. Thirty-eight
percent of long-term care facility residents had
incomes of $10,000 or less in 2007, compared
with 13-14 percent of traditional community
residents and residents of community housing
with services.
V Over one-half (56 percent) of people living
in community housing with services reported
they could continue living there if they needed
substantial care.
Data for this indicator's charts and bullets
can be found in Tables 36a, 36b, 36c, 36d,
and 36e on pages 131-132.
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INDICATOR 37
Personal Assistance and Equipment
As the proportion of the older population residing in long-term care facilities has declined (see "Indicator
20: Functional Limitations"), the use of personal assistance and/or special equipment among those with
limitations has increased. This assistance helps older people living in the community maintain their
independence.
Percent distribution of noninstitutionalized Medicare enrollees age 65 and
over who have limitations in activities of daily living (ADLs), by type of
assistance, selected years 1992-2007
Percent
100 ,-
90
80
70
60
50
40
30
20
10
None
Personal assistance
and equipment
Personal assistance
only
Equipment only
1992
1997
2001
2005
2007
NOTE: ADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: bathing, dressing, eating,
getting in/out of chairs, walking, or using the toilet. Respondents who report difficulty with an activity are subsequently asked about receiving help or
supervision from another person with the activity and about using special equipment or aids. In this table, personal assistance does not include supervision.
Reference population: These data refer to noninstitutionalized Medicare enrollees who have limitations with one or more ADLs.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
0 Between 1992 and 2007, the age-adjusted
proportion of people age 65 and over who had
difficulty with one or more ADLs and who did
not receive personal assistance or use special
equipment with these activities decreased from
42 percent to 34 percent. More people are using
equipment only—the percentage increased
from 28 percent to 38 percent. The percentage
of people who used personal assistance only
decreased from 9 percent to 6 percent.
0 In 2007, two-thirds of people who had difficulty
with one or more ADLs received personal
assistance or used special equipment: 6 percent
received personal assistance only, 38 percent
used equipment only, and 22 percent used both
personal assistance and equipment.
V In 2007, women and men with limitations
in ADLs were equally likely to use special
equipment only for help (38 percent). Men
were more likely than women to receive no
assistance, and women were more likely than
men to receive a combination of personal
assistance and equipment.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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INDICATOR 37
Personal Assistance and Equipment continued
Percentage of noninstitutionalized Medicare enrollees age 65 and over who
have limitations in instrumental activities of daily living (lADLs) and who
receive personal assistance, by age group, selected years 1992-2007
Percent
100
90
80
70
60
50
40
30
20
10
65-74
75-84
85 and over
69
63
59
1992
1997
2001
2005
2007
NOTE: IADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using
the telephone, light housework, heavy housework, meal preparation, shopping, or managing money. Respondents who report difficulty
with an activity are subsequently asked about receiving help from another person with the activity. In this table, personal assistance does
not include supervision or special equipment.
Reference population: These data refer to noninstitutionalized Medicare enrollees who have limitations with one or more lADLs.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
In 2007, two-thirds of people age 65 and over
who had difficulty with one or more lADLs
received personal assistance. The percentage
of people receiving personal assistance was
higher for people age 85 and over (70 percent)
than it was for people age 75-84 (66 percent) or
people age 65-74 (65 percent).
Among older people in 2007 who had
difficulties with lADLs, there were no
significant differences in the percentage
of women and men who received personal
assistance
Data for this indicator's charts and bullets
can be found in Tables 37a and 37b on page
133.
1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010
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-------
Data Needs
Residential Care
In Older Americans 2008, the Federal Interagency
Forum on Aging-Related Statistics (Forum)
identified six areas where better data were
needed to support research and policy efforts. In
this report, the Forum updates those six areas,
identifying new data sources when available,
and provides information on one additional topic
area. These topics have been identified by the
Forum as priority areas for data collection efforts
related to older Americans: caregiving, elder
abuse, functioning and disability, mental health
and cognitive functioning, pension measures,
residential care, and end-of-life issues.
Caregiving
Informal (unpaid) family caregivers provide the
majority of assistance that enables chronically
disabled older people to continue to live in
the community rather than in specialized care
facilities. The annual economic value of informal
eldercare exceeds national spending on formal
(paid) care.42 Many of these chronically disabled
older adults have considerable needs, with some
requiring at least 50 hours per week of personal
assistance with functional activities.43 Informal
family caregivers of older people with high levels
of personal care needs can face considerable strain
providing such care. In recent years, it has become
clear that data are needed to monitor the amount,
sources, and outcomes of informal caregiving.
In 2009, a new nationally representative data
collection effort, the National Health and Aging
Trends Study (NHATS), was funded. NHATS, a
representative study of older adults, along with
a supplemental survey of informal caregivers,
will provide researchers and policy makers with
improved national estimates of caregiving and its
impact on care recipients and caregivers.
There remain data gaps across the spectrum of
care providers. Recent data are not available for
nursing homes or their residents or providers
of home care or their clients. Data are also not
available about newly emerging providers and it
is not possible to combine information across all
caregivers or all receivers of care.
A general shift in state Medicaid long-term care
policy and independent growth in private-pay
residential care has led to an increasing set of
alternatives to home care and traditional skilled
nursing facilities. Residential care outside of
the traditional nursing home is provided in
diverse settings (e.g., assisted living facilities,
board and care homes, personal care homes,
and continuing-care retirement communities).
A common characteristic is that these places
provide both housing and supportive services.
Supportive services typically include protective
oversight and help with instrumental activities
of daily living (lADLs) such as transportation,
meal preparation, and taking medications, and
more basic activities of daily living (ADLs) such
as eating, dressing, and bathing. Despite the
growing role of residential care, there has been little
national data on the number and characteristicsof
facilities and the people living in these settings.
In Older Americans 2008, the Forum reported
that federal agencies were working to design a
new survey to obtain these estimates. As of 2010,
the National Survey of Residential Care Facilities
(NSRCF) is being fielded as the first-ever national
survey of residential care providers. Residential
care facilities include places such as: assisted
living residences; board and care homes; and
personal care homes that are licensed, registered,
listed, certified, or otherwise regulated by a state.
The NSRCF is designed to produce estimates of
these places and their residents. It will allow for
the identification of varied levels of supportive
care and assistance by housing arrangement.
The NSRCF will fill a set of essential data gaps
related to residential care facilities. Beyond
residential care facilities, there remains a need
for data to address questions about differences in
health care costs by type of housing arrangement.
For example, data are needed to assess how health
care costs of older adults living in congregate
housing settings compare to those that live in
other settings.
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Elder Abuse
In 1998, the Institute of Medicine at the National
Academies reported a "paucity of research" on
elder abuse and neglect, with most prior studies
lacking empirical evidence.44 In response to this
report, the Committee on National Statistics and
the Committee on Law and Justice convened an
expert panel to review the risk and prevalence of
elder abuse and neglect. The panel published its
report in 2003, finding that there are no reliable
national estimates of elder abuse, nor are the
risk factors clearly understood.45 The need for
a national study of elder abuse and neglect is
supported by the growing number of older people,
increasing public awareness of the problem,
new legal requirements for reporting abuse, and
advances in questionnaire design.
Following the 2003 report, the National Institute
on Aging funded a series of grants to develop
survey methodologies for abuse and neglect
surveillance. The CDC (with the assistance of the
member agencies of the Elder Justice Working
Group) has developed preliminary definitions
for elder maltreatment as a first step in designing
recommended data elements for use in elder
maltreatment surveillance. Additionally, a new
indicator is being included in the Healthy People
2020 initiative, increasing the number of states
that collect and publicly report incidences of elder
maltreatment.
Functioning and Disability
Information on trends in functioning and disability
is critical for monitoring the health and well-being
of the older population. However, the concept of
disability encompasses many different dimensions
of health and functioning and their multifaceted
interactions with the environment. Furthermore,
specific definitions of disability are used by some
government agencies to determine eligibility for
benefits. As a result, disability is often measured
in different ways across surveys, and this has led to
disparate estimates of the prevalence of disability.
To the extent possible, population-based surveys
designed to broadly measure disability in the
older population should use a common conceptual
framework. Longitudinal data that can be used to
monitor changes in patterns and in transitions in
functional status also are needed.
There are several current national and international
activities that will result in greater depth and
comparability in information on functioning
and disability. Federal agencies continue to
work together to find ways to compare existing
measures of functioning and disability across
different surveys and to develop new ways to
measure this complicated, multidimensional
concept. For example, the disability questions
developed by an Interagency Workgroup for the
American Community Survey are being adopted
by other federal surveys. Methodological research
on these newly developed disability measures is
being conducted as part of the National Health
Interview Survey. The new National Health and
Aging Trends Study (NHATS) includes measures
of disability and functional status that will capture
multiple components of disability, including the
intersection of environment and physical and
cognitive functioning, as well as the relationship
between limitations and overall health and quality
of life. In response to a request from National
Institute on Aging, the National Academic s recently
convened a panel to investigate additional ways
to address these complex issues. Their workshop
report describes a number of innovative ways
to enhance comparability and improve validity
across surveys and in different settings.46
International developments include work from the
Washington Group on Disability Statistics, a UN-
sponsored city group, and the Budapest Initiative
on Health State, a UNECE-WHO-Eurostat task
force, to develop comparable questions sets to
measure functioning across a range of domains.
The Washington Group also is developing
questions to access the impact of environmental
factors including assistive devices on participation
in society. The questions developed by these
groups are undergoing cognitive and operational
testing at the U.S. National Center for Health
Statistics. In addition, a set of nationally
representative longitudinal studies of the older
population provides tools to monitor the dynamics
of disability using comparable or harmonized
measures.47
Mental Health and Cognitive
Functioning
Research that has helped differentiate mental
disorders from "normal" aging has been one of the
-------
more important achievements of recent decades in
the field of geriatric health. Depression, anxiety,
schizophrenia, and alcohol and drug misuse and
abuse, if untreated, can be severely impairing,
even fatal. Despite interest and increased efforts
to track all of these disorders among older adults,
obtaining national estimates has proven to be
difficult. International efforts by the Washington
Group on Disability Statistics and the Budapest
Initiative on Measuring Health State are underway
to develop comparable short sets of survey
questions to measure cognitive and psychological
functioning along with measures of sensory
functioning, mobility, upper body functioning,
pain, fatigue, communication, and learning.
While there are several studies which report
estimates of the prevalence of Alzheimer's, one of
the major barriers to reliable national estimates of
prevalence is the lack of uniform diagnostic criteria
among the national surveys that attempt to measure
dementia or Alzheimer's. A meeting convened by
the NIA in 2009 to describe the prevalence of
Alzheimer's concluded that most of the variation
in prevalence estimates is not driven primarily by
the reliability of the measures or instruments per
se but by systematic differences in the definition
of dementia. Research is underway to address the
challenges in developing consistent indicators of
cognitive and mental health. Although not intended
to be a platform for the diagnosis of neurological
disorders, the NIH Toolbox on the Assessment
of Neurological and Behavioral Functions will
allow different epidemiological studies to collect
harmonized or comparable measures on many
domains of cognitive, emotional, motor, and
sensory function.
Pension Measures
As pension plans shift away from defined-benefit
pensions and annuities to defined contribution
plans, official statistical sources on income and
poverty fail to measure substantial amounts of
retirement income formerly provided by defined-
benefit pensions. The common practice is to
transfer retirement plan accumulations to IRAs
and to take the money out of IRAs as irregular
payments. These payments are not included
as money income in the most widely used
government surveys. Improved measurement of
withdrawals from retirement investment accounts
(deferred income in IRAs and 40 Iks) would result
in improved measurement of retirement income.
End-of-Life Issues
The end of life is recognized as a uniquely
difficult time for patients and their families.
Many issues tend to arise, including decisions
about medical care; caregiving, both formal
and informal; transitions in living arrangements
among community, assisted living, and nursing
homes; financial impacts; whether to use advance
directives and living wills, etc. Documented
problem areas include poor management of
pain and symptoms; lack of communication by
providers; decision-making processes regarding
treatment; and insufficient attention to patient
preferences.48
The end of life has been the subject of many studies
and reports, including an Institute of Medicine
(IOM) report in 2003 titled "Describing Death in
America: What We Need to Know."49 The IOM
report documented many gaps in our knowledge
on how well the needs of individuals near the end
of life are being met. Some questions identified in
the IOM report are:
0 Where are people dying and how much of the
end of their lives is spent in those settings?
V Who is providing care for them as they die? Do
institutional settings support family presence at
the end of life?
0 Are physical and psychological symptoms
being identified and treated (including but not
limited to pain)?
0 How many persons experience impaired
cognitive function before death?
V How do patients and loved ones perceive their
quality of life at various time points prior to
death?
V Are loved ones supported through the grieving
process?
To this end, there is a need for national data to
monitor the experiences of older adults nearing
death as well as those closely linked to these
individuals. Information on some of these topics
will be available with the release of Health, United
States, 2010, which will include a special feature
on death and dying.50
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References
1. Horiuchi S. Greater lifetime expectation.
Nature 405:744-5. June 2000.
2. Oeppen J, Vaupel JW. Broken limits to life
expectancy. Science 296:1029-31. 2002.
3. Tuljapurkar S, Nan L, Boe C. A universal
pattern of mortality decline in the G8
countries. Nature 405: 789-92. 2000.
4. Department of Veterans Affairs.
Unpublished analyses: American
Community Survey 2005, Current
Population Survey 2004, National Health
Interview Survey 2005, National Long
Term Care Survey 2004, and National
Survey of Veterans 2001.
5. Department of Veterans Affairs. Strategic
Plan FY 2006-2011, October 2006.
Institute. 2009. Available from: http://
www.urban.org/publications/901206.
html.
10. Kurd M, Rohwedder S. "Effects of
the Economic Crisis on American
Households." Cambridge, MA:Aging
Workshop of the National Bureau of
Economic Research (NBER). 2009.
Available from: http://www.nber.org/.
11. National Center for Health Statistics.
Health, United States, 2009: With
Special Feature on Medical Technology.
Hyattsville, MD. 2010.
12. Anderson RN, Minino AM, Hoyert DL,
Rosenberg HM. Comparability of cause-
of-death classification between ICD-9
and ICD-10: Preliminary estimates.
National vital statistics reports; vol 49 no
2. Hyattsville, MD: National Center for
Health Statistics. 2001.
6. Morin R, Taylor P. 2009. "Oldest are Most
Sheltered-Different Age Groups, Different
Recessions." Washington, DC: Pew
Research Center. 2009. Available from:
http://pewsocialtrends.org/pubs/734/
different-age-groups-different-recessions.
7. Phillips, CB, Kinney FM, Jaconetti CM.
"ImplicationsofaBearMarketforEconomic
Security." King of Prussia,PA: Vanguard
Investment Counseling & Research.
2009. Available from: https://personal.
vanguard.com/us/literature/search?search
Input=S613&searchmode=true.
8. Johnson RW, Soto M, Zedlewski SR.
"How is the Economic Turmoil Affecting
Older Americans?" (Fact Sheet on
Retirement Policy, October 2008).
Washington, DC: Urban Institute. 2008.
Available from: http://www.urban.org/
publications/411765 .html.
9. Soto, M. "How is the Financial Crisis
Affecting Retirement Savings?" (Update,
May 2009). Washington, DC: Urban
13. National Center for Health Statistics.
Death rates for 113 selected causes, by
10-year age groups, Hispanic origin, race
for Non-Hispanic population, and sex:
United States, 2002-2003, 2005-2006.
Available from: http://www.cdc.gov/nchs/
nvss/mortality/gmwkh25 Or. htm.
14. National Center for Chronic Disease
Prevention and Health Promotion. The
Power of Prevention: Chronic disease the
public health challenge of the 21 st century.
2009. Available from: http://www.cdc.
gov/chronicdisease/pdf/2009-Power-of-
Prevention.pdf.
15. DeSalvo KB, Bloser N, Reynolds K, et al.
Mortality prediction with a single general
self-rated health question. A metaanalysis.
J Gen Intern Med 21(3): 267-275. March
2006.
16. Emptage NP, Sturm R, Robinson RL.
Depression and comorbid pain as predictors
of disability, employment, insurance
status, and health care costs. Psychiatric
Services, 56(4): 468-74. 2005.
-------
17. Centers for Disease Control and
Prevention. Prevention and control of
influenza: Recommendations of the
Advisory Committee on Immunization
Practices (ACIP). MMWR (No. RR-6).
2007.
18. Centers for Disease Control and
Prevention. Prevention of pneumococcal
disease: Recommendations of the
Advisory Committee on Immunization
Practices (ACIP). MMWR (No. RR-8).
1997.
19. U.S. Preventive Services Task Force.
Screening for breast cancer: U.S.
Preventive Services Task Force
Recommendation Statement. Annals of
Internal Medicine 151: 716-726. 2009.
20. Tourlouki E, Matalas A, Panagiotakos,
DB. Dietary habits and cardiovascular
disease risk in middle-aged and elderly
populations: a review of evidence. Clinical
Interventions in Aging, 4: 319-330. 2009.
21. Guenther PM, Reedy J, Krebs- Smith SM.
Development of the Healthy Eating Index-
2005. Journal of the American Dietetic
Association, 108, 1896-1901. 2008.
22. Guenther PM, Reedy J, Krebs-Smith
SM, Reeve BB. Evaluation of the
Healthy Eating Index-2005. Journal of
the American Dietetic Association, 108,
1854-1864. 2008.
23. U.S. Department of Health and Human
Services and U.S. Department of
Agriculture. Dietary Guidelines for
Americans, 2005.6th Edition. Washington,
DC: U.S. Government Printing Office,
2005.
25. U.S. Department of Health and Human
Services. Physical activity and health: A
report of the Surgeon General. Atlanta,
GA: Centers for Disease Control and
Prevention, National Center for Chronic
Disease Prevention and Health Promotion.
1996.
26. American College of Sports Medicine.
Position stand: Exercise and physical
activity for older adults. Med Sci Sports
Exerc 30(6):992-1008. 1998.
27. Butler RN, Davis R, Lewis CB, et al.
Physical fitness: Benefits of exercise for
the older patient. Geriatrics 53(10): 46-
62. 1998.
28. Christmas C, Andersen RA. Exercise and
older patients: Guidelines for the clinician.
J Am Geriatr Soc 48(3):318-24. 2000.
29. U.S. Department of Health and Human
Services. The Surgeon General's call
to action to prevent and decrease
overweight and obesity. Rockville, MD:
U.S. Department of Health and Human
Services, Office of the Surgeon General.
2001.
30. U.S. Preventive Services Task Force.
Screening for obesity in adults:
Recommendations and rationale.
November 2003. Agency for Healthcare
Research and Quality, Rockville, MD.
Available from: http://www.ahrq.gov/
clinic/3 rduspstf/obesity/obesrr.htm.
31. Must A, Spadano J, Coakley EH, et al. The
disease burden associated with overweight
and obesity. Journal of the American
Medical Association, 282(16): 1530-8.
October 27, 1999.
24. U.S. Department of Agriculture.
MyPyramid.gov Website. Available from:
http://www.mypyramid.gov. Accessed
September 16, 2009.
32. Office of the Surgeon General, U.S. Public
Health Service. The health consequences
of smoking: Chronic obstructive lung
disease. Rockville, MD: U.S. Department
of Health and Human Services. 2004.
-------
33. U.S. Environmental Protection Agency.
Air quality criteria for ozone and related
photochemical oxidants, EPA 600-P-93-
004aF-cE Research Triangle Park, NC:
U.S. Environmental Protection Agency,
Office of Research and Development,
National Center for Environmental
Assessment. July 1996.
34. U.S. Environmental Protection Agency.
Air quality criteria for oxides of nitrogen,
EPA 600-8-9 !-049aF-cE Research
Triangle Park, NC: U.S. Environmental
Protection Agency, Office of Research and
Development, Environmental Criteria and
Assessment Office. August 1993.
35. U.S. Environmental Protection Agency.
Air quality criteria for carbon monoxide,
EPA 600-P-99-001F. Research
Triangle Park, NC: U.S. Environmental
Protection Agency, Office Research
and Development, National Center for
Environmental Assessment. June 2000.
36. U.S. Environmental Protection Agency.
Air quality criteria for particulate matter,
third external review draft, Volume
II, EPA 600-P-99-002bC. Research
Triangle Park, NC: U.S. Environmental
Protection Agency, Office of Research
and Development, National Center for
Environmental Assessment. April 2002.
37. Pope CA III, Burnett RT, Thun MJ, et al.
Lung cancer, cardiopulmonary mortality,
and long-term exposure to fine particulate
air pollution. JAMA 287:1132-41. 2002.
38. Health Care Financing Administration.
A profile of Medicare home health:
Chartbook. Report no. 1999-771-472.
Washington, DC: U.S. Government
Printing Office. 1999.
39. Altman A, Cooper PF, Cunningham PJ.
The case of disability in the family: Impact
on health care utilization and expenditures
for nondisabled members. Milbank Q 77
(l):39-75. 1999.
40. Rasell E, Bernstein J, Tang K. The impact
of health care financing on family budgets.
Int J Health Ser 24(4):691-714. 1994.
41. Office of the Assistant Deputy Under
Secretary for Health, Veterans Health
Administration. 2008 Survey of veteran
enrollees' health and reliance upon
VA. Washington, DC: U.S. Department
of Veterans Affairs. September 2009.
Available from: http://www4.va.gov/
HEALTHPOLICYPLANNING/reportsl.
asp.
42. Arno P, Levine C, Memmott MM. The
economic value of informal caregiving.
Health Aff, 18(2): 182-8. 1999.
43. U.S. Department of Health and Human
Services, Office of the Assistant Secretary
for Planning and Evaluation. Unpublished
analyses: National Long-Term Care
Survey. 1999.
44. Chalk R, King PA. Violence in families.
Washington, DC: Committee on
the Assessment of Family Violence
Interventions, National Research Council
and Institute of Medicine. 1998.
45. Bonnie RJ, RB Wallace, eds. National
Research Council. Elder Mistreatment:
Abuse, Neglect, and Exploitation in an
Aging America. Panel to Review Risk and
Prevalence of Elder Abuse and Neglect.
Committee on National Statistics and
Committee on Law and Justice, Division
of Behavioral and Social Sciences and
Education. Washington, DC: The National
Academies Press. 2003.
46. National Research Council. Improving
the Measurement of Late-Life Disability
in Population Surveys: Beyond ADLs and
lADLs, Summary of a Workshop. Gooloo
S. Wunderlich, Rapporteur. Committee
on National Statistics and Committee
on Population. Division of Behavioral
and Social Sciences and Education.
Washington, DC: The National Academies
Press. 2009.
-------
47. Data sets involved in the ongoing
international data harmonization effort:
The English Longitudinal Study of Aging
(ELSA: http://www.ifs.org.uk/elsa/), the
Survey of Health, Ageing and Retirement
in Europe (SHARE: http://www.share-
project, org/), the Survey of Ageing
Globally (SAGE: http://www.who.int/
healthinfo/sy stems/sage/en/index.html),
and the China Health and Retirement
Longitudinal Study (CHARLS: http://
www.chinasurveycenter.org/csdn_
en/DownLoadChannel_new/detail.
aspx?ClassID=4&DataID=32).
48. The SUPPORT Principal Investigators.
A controlled trial to improve care for
seriously ill hospitalized patients. Journal
of the American Medical Association, 274;
20:1591-1598. November 22/29, 1995.
49. Lunney JR, Foley KM, Smith TJ, et al eds.
Institute of Medicine. Describing Death
in America: What We Need to Know.
Washington, DC: National Academy
Press. 2003.
50. National Center for Health Statistics.
Health, United States, 2010: With Special
Feature on Death and Dying. Hyattsville,
MD. Forthcoming. When available see:
http://www.cdc.gov/nchs/HUS.htm.
Sl.Zuvekas S, Cohen JW. A guide to
comparing health care expenditures in the
1996 MEPS to the 1987 NMES. Inquiry
39: 76-86. 2002.
Survey strategies from ~fee-for-service to
managed care. In: Monheit AC, Wilson R,
Arnett RH III, eds. Informing American
health care policy: The dynamics of
medical expenditures and insurance
surveys, 1977-1996. San Francisco, CA:
Jossey-Bass Publishers, 43-66. 1999.
55. U.S. Census Bureau. Methodology
and assumptions for the population
projections of the United States: 1999 to
2100. Population Division Working Paper
No. 38. Washington, DC: US Department
of Commerce. 2000. Available from:
http://www.census.gov/population/www/
documentation/twps003 8 .html.
56. Clinical guidelines on the identification,
evaluation, and treatment of overweight
and obesity in adults. Bethesda, MD:
U.S. Department of Health and Human
Services, National Heart, Lung, and Blood
Institute. 1998.
57. U.S. Census Bureau. Summary File 1:
2000 Census of Population and Housing.
Technical documentation (Rev), SF1/14
(RV). Washington, DC: US Department of
Commerce. 2007. Available from: http://
www.census.gov/prod/cen2000/doc/sfl.
pdf.
58. U.S. Census Bureau. Poverty definition,
thresholds, and guidelines. Available
from: http://www.census.gov/hhes/www/
poverty/definitions.html.
52. PolivkaAE, Miller SM. The CPS after the
redesign: Refocusing the economic lens.
Bureau of Labor Statistics working paper
269. March 1995.
53. Explanatory notes and estimates of error.
Employment and Earnings 51(l):269-86.
U.S. Department of Labor, Bureau of
Labor Statistics. January 2004.
54. Cohen JW, Taylor AK. The provider system
and the changing locus of expenditure data:
-------
-------
Appendix A: Detailed Tables
-------
INDICATOR
Number of Older Americans
Table 1a. Number of people age 65 and over and 85 and over, selected years 1900-2008 and
projected 2010-2050
Year
Estimates
1900
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
2005
2006
2007
2008
Projections
2010
2020
2030
2040
2050
65 and over
In millions
3.1
3.9
4.9
6.6
0.9
12.3
16.2
20.1
25.5
31.2
35.0
36.8
37.3
37.9
38.9
40.2
54.8
72.1
81.2
88.5
85 and over
0.1
0.2
0.2
0.3
0.4
0.6
0.9
1.5
2.2
3.1
4.2
5.1
5.3
5.5
5.7
5.8
6.6
8.7
14.2
19.0
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, 1900 to 1940, 1970, and 1980, U.S. Census Bureau, 1983, Table 42; 1950, U.S. Census
Bureau, 1953, Table 38; 1960, U.S. Census Bureau, 1964, Table 155; 1990, U.S. Census Bureau, 1991, 1990 Summary Table
File; 2000, U.S. Census Bureau, 2001, Census 2000 Summary File; Table 2: Annual estimates of the resident population by sex
and selected age groups for the U.S.: April 1, 2000 to July 1, 2008 (NC-EST2008-02); Table 2: Projections of the population by
selected age groups and sex for the United States: 2010-2050 (NP2008-t2).
-------
INDICATOR 1
Number of Older Americans continued
Table 1b. Percentage of the population age 65 and over and 85 and over, selected years 1900-2008 and projected
2010-2050
Year
Estimates
1900
1910
1920
1930
1940
1950
1960
1970
1980
1990
2000
2005
2006
2007
2008
Projections
2010
2020
2030
2040
2050
65 and over
Percent
4.1
4.3
4.7
5.4
6.8
8.1
9.0
9.9
11.3
12.6
12.4
12.4
12.4
12.6
12.8
13.0
16.1
19.3
20.0
20.2
85 and over
0.2
0.2
0.2
0.2
0.3
0.4
0.5
0.7
1.0
1.2
1.5
1.7
1.8
1.8
1.9
1.9
1.9
2.3
3.5
4.3
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, 1900 to 1940, 1970, and 1980, U.S. Census Bureau, 1983, Table 42; 1950, U.S. Census Bureau, 1953, Table 38; 1960, U.S. Census
Bureau, 1964, Table 155; 1990, U.S. Census Bureau, 1991, 1990 Summary Table File; 2000, U.S. Census Bureau, 2001, Census 2000 Summary File; Table 2:
Annual estimates of the resident population by sex and selected age groups for the U.S.: April 1, 2000 to July 1, 2008 (NC-EST2008-02); Table 2: Projections of the
population by selected age groups and sex for the United States: 2010-2050 (NP2008-t2).
-------
INDICATOR
Number of Older Americans continued
Table 1c. Population of countries or areas with at least 10 percent of their population age 65 and over, 2008
Country or Area
Japan
Germany
Italy
Greece
Sweden
Spain
Austria
Estonia
Bulgaria
Belgium
Portugal
Croatia
Latvia
Serbia
Georgia
Finland
France
Slovenia
Ukraine
Lithuania
Switzerland
United Kingdom
Denmark
Hungary
Czech Republic
Norway
Canada
Luxembourg
Bosnia and Herzegovina
Belarus
Romania
Netherlands
Russia
Malta
Montenegro
Puerto Rico
Poland
Australia
Uruguay
Hong Kong S.A.R.
Virgin Islands (U.S.)
United States
New Zealand
Slovakia
Iceland
Ireland
Macedonia
Armenia
Cuba
Moldova
Argentina
South Korea
Taiwan
Aruba
Population
Total
127,288
82,370
58,145
10,723
9,045
40,491
8,206
1,308
7,263
10,404
10,677
4,492
2,245
7,414
4,631
5,245
64,058
2,008
45,994
3,565
7,582
60,944
5,485
9,931
10,221
4,644
33,213
486
4,590
9,686
22,247
1 6,645
1 40,702
404
678
3,954
38,501
21,007
3,478
7,019
110
304,060
4,173
5,455
304
4,156
2,061
2,969
11,424
4,324
40,482
48,379
22,921
102
(number in thousands)
65 and over
27,494
16,515
1 1 ,657
2,048
1,659
7,263
1,455
230
1,276
1,818
1,858
763
380
1,249
768
868
10,428
327
7,399
572
1,213
9,736
862
1,545
1,539
696
4,940
72
676
1,425
3,271
2,433
19,858
56
93
540
5,148
2,794
462
913
14
38,870
526
671
37
491
232
325
1,251
471
4,353
5,087
2,396
11
Percent
65 and over
21.6
20.0
20.0
19.1
18.3
17.9
17.7
17.6
17.6
17.5
17.4
17.0
16.9
16.8
16.6
16.6
16.3
16.3
16.1
16.0
16.0
16.0
15.7
15.6
15.1
15.0
14.9
14.7
14.7
14.7
14.7
14.6
14.1
13.9
13.7
13.7
13.4
13.3
13.3
13.0
12.8
12.8
12.6
12.3
12.0
11.8
11.3
11.0
10.9
10.9
10.8
10.5
10.5
10.4
NOTE: Table excludes countries and areas with less than 100,000 population.
SOURCE: U.S. Census Bureau, International Data Base, accessed on August 24, 2009.
-------
INDICATOR 1
Number of Older Americans continued
Table 1d. Percentage of the population age 65 and over, by state, July 1, 2008
State
(Listed alphabetically)
United States
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Puerto Rico
Percent
12.8
13.8
7.3
13.3
14.3
11.2
10.3
13.7
13.9
11.9
17.4
10.1
14.8
12.0
12.2
12.8
14.8
13.1
13.3
12.2
15.1
12.1
13.4
13.0
12.5
12.6
13.6
14.2
13.5
11.4
12.9
13.3
13.1
13.4
12.4
14.7
13.7
13.5
13.3
15.3
14.1
13.3
14.4
13.2
10.2
9.0
13.9
12.1
12.0
15.7
13.3
12.3
13.7
State
(Ranked by percentage)
United States
Florida
West Virginia
Pennsylvania
Maine
Iowa
Hawaii
North Dakota
South Dakota
Arkansas
Montana
Rhode Island
Vermont
Delaware
Alabama
Ohio
Connecticut
Missouri
Nebraska
Oklahoma
Massachusetts
New York
Wisconsin
South Carolina
Oregon
Arizona
New Jersey
Kentucky
Tennessee
New Mexico
Kansas
Michigan
New Hampshire
Indiana
Mississippi
Minnesota
North Carolina
Wyoming
Louisiana
Illinois
Virginia
Maryland
Washington
Idaho
District of Columbia
Nevada
California
Colorado
Texas
Georgia
Utah
Alaska
Puerto Rico
Percent
12.8
17.4
15.7
15.3
15.1
14.8
14.8
14.7
14.4
14.3
14.2
14.1
13.9
13.9
13.8
13.7
13.7
13.6
13.5
13.5
13.4
13.4
13.3
13.3
13.3
13.3
13.3
13.3
13.2
13.1
13.1
13.0
12.9
12.8
12.6
12.5
12.4
12.3
12.2
12.2
12.1
12.1
12.0
12.0
11.9
11.4
11.2
10.3
10.2
10.1
9.0
7.3
13.7
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, Population Division, Table 1. Estimates of the population by selected age groups for the United States and Puerto Rico: July 1, 2008
(SC-EST2008-01).
-------
INDICATOR
Number of Older Americans continued
Table 1e. Percentage of the population age 65 and over, by county, 2008
SOURCE: U.S. Census Bureau, July 1, 2008 Population Estimates
Data for this table can be found at http //www.agingstats.gov.
Table 1f. Number and percentage of people age 65 and over and 85 and over, by sex, 2008 (numbers in thousands)
Selected characteristics
Number
Percent
65 and over
Total
Men
Women
85 and over
Total
Men
Women
38,870
16,465
22,405
5,722
1,864
3,858
100.0
42.4
57.6
100.0
32.6
67.4
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, Population Division, Table 2. Annual estimates of the resident population by sex and selected age groups for the U.S.: April 1, 2000 to
July 1, 2008 (NC-EST2008-02).
INDICATOR 2
Racial and Ethnic Composition
Table 2. Population age 65 and over, by race and Hispanic origin, 2008 and projected 2050 (numbers in thousands)
Race and Hispanic origin
Total
Non-Hispanic white alone
Black alone
Asian alone
All other races alone or in combination
Hispanic (of any race)
2008 estimates
Number
38,870
31 ,238
3,315
1,295
522
2,661
Percent
100.0
80.4
8.5
3.3
1.3
6.8
2050 projections
Number
88,547
51 ,772
10,553
7,541
2,397
17,515
Percent
100.0
58.5
11.9
8.5
2.7
19.8
NOTE: The term "non-Hispanic white alone " is used to refer to people who reported being white and no other race and who are not Hispanic. The term "black
alone" is used to refer to people who reported being black or african American and no other race, and the term "Asian alone" is used to refer to people who reported
only Asian as their race. The use of single-race populations in this report does not imply that this is the preferred method of presenting or analyzing data. The U.S.
Census Bureau uses a variety of approaches. The race group "All other races alone or in combination" includes American Indian and Alaska Native alone; Native
Hawaiian and Other Pacific Islander alone; and all people who reported two or more races.
Reference population: These data refer to the resident population.
SOURCE: U.S. Census Bureau, Population Estimates and Projections 2008.
-------
INDICATOR 3
Marital Status
Table 3. Marital status of the population age 65 and over, by age group and sex, 2008
Selected characteristics
Both sexes
Total
Married
Widowed
Divorced
Never married
Men
Total
Married
Widowed
Divorced
Never married
Women
Total
Married
Widowed
Divorced
Never married
65 and over
100.0
57.0
29.8
9.1
4.1
100.0
74.5
13.8
7.5
4.2
100.0
43.9
41.8
10.3
4.0
65-74
100.0
67.0
16.8
11.9
4.3
100.0
79.2
6.9
9.5
4.4
100.0
56.8
25.1
13.9
4.2
75-84
Percent
100.0
51.2
38.6
6.5
3.6
100.0
72.2
18.7
5.6
3.6
100.0
36.6
52.5
7.2
3.7
85 and over
100.0
28.7
62.9
4.1
4.3
100.0
54.8
37.7
2.9
4.7
100.0
14.9
76.2
4.8
4.1
NOTE: Married includes married, spouse present; married, spouse absent; and separated
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
INDICATOR 4
Educational Attainment
Table 4a. Educational attainment of the population age 65 and over, selected years 1965-2008
Educational
attainment
1965 1970 1975 1980 1985 1990 1995 2000 2001 2002 2003 2004 2005 2006 2007 2008
Percent
High school
graduate 23.5 28.3 37.3 40.7 48.2 55.4 63.8 69.5 70.0 69.9 71.5 73.1 74.0 75.2 76.1 77.4
or more
Bachelor's
degree 5.0 6.3 8.1 8.6 9.4 11.6 13.0 15.6 16.2 16.7 17.4 18.7 18.9 19.5 19.2 20.5
or more
NOTE: A single question which asks for the highest grade or degree completed is now used to determine educational attainment. Prior to 1995, educational attainment
was measured using data on years of school completed.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
-------
INDICATOR 4
Educational Attainment continued
Table 4b. Educational attainment of the population age 65 and over, by race and Hispanic origin, 2008
Race and Hispanic Origin
High school graduate or more
Bachelor's degree or more
Percent
Both sexes
Non-Hispanic white alone
Black alone
Asian alone
Hispanic (of any race)
Men
Women
77.4
82.3
59.8
73.8
45.9
77.9
77.1
20.5
21.9
12.3
31.5
9.0
26.7
15.8
NOTE: The term "non-Hispanic white alone" is used to refer to people who reported being white and no other race and who are not Hispanic. The term "black
alone" is used to refer to people who reported being black or African American and no other race, and the term "Asian alone" is used to refer to people who reported
only Asian as their race. The use of single-race populations in this report does not imply that this is the preferred method of presenting or analyzing data. The U.S.
Census Bureau uses a variety of approaches.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
INDICATOR 5
Living Arrangements
Table 5a. Living arrangements of the population age 65 and over, by sex and race and Hispanic origin, 2008
Selected characteristic
Men
Total
Non-Hispanic white alone
Black alone
Asian alone
Hispanic (of any race)
Women
Total
Non-Hispanic white alone
Black alone
Asian alone
Hispanic (of any race)
With spouse
71.9
73.9
54.2
76.9
67.4
41.7
43.6
24.6
44.6
40.6
With other relatives
Percent
7.0
5.8
11.2
10.3
14.9
17.1
13.4
31.9
32.3
31.4
With nonrelatives
2.5
2.2
4.4
2.2
4.9
1.8
1.8
1.9
0.8
1.3
Alone
18.5
18.2
30.2
10.6
12.8
39.5
41.1
41.7
22.3
26.7
NOTE: Living with other relatives indicates no spouse present. Living with nonrelatives indicates no spouse or other relatives present. The term "non-Hispanic white
alone" is used to refer to people who reported being white and no other race and who are not Hispanic. The term "black alone" is used to refer to people who reported
being black or African American and no other race, and the term "Asian alone" is used to refer to people who reported only Asian as their race. The use of single-race
populations in this report does not imply that this is the preferred method of presenting or analyzing data. The U.S. Census Bureau uses a variety of approaches.
Reference population: These data do not include the noninstitutionalized group quarters population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
-------
INDICATOR 5
Living Arrangements continued
Table 5b. Population age 65 and over living alone, by age group and sex, selected years 1970-2008
Men
Year
1970
1980
1990
2000
2003
2004
2005
2006
2007
2008
65-74
11.3
11.6
13.0
13.8
15.6
15.5
16.1
16.9
16.7
16.3
75 and over
Percent
19.1
21.6
20.9
21.4
22.9
23.2
23.2
22.7
22.0
21.5
Women
65-74
31.7
35.6
33.2
30.6
29.6
29.4
28.9
28.5
28.0
29.1
75 and over
37.0
49.4
54.0
49.5
49.8
49.9
47.8
48.0
48.8
50.1
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
INDICATOR 6
Older Veterans
Table 6a. Percentage of people age 65 and over who are veterans, by sex and age group, United States and Puerto
Rico, 2000 and projected 2010 and 2020
65 and over
65-74
75-84
Year
Men
Women
Men
Women
Men
Women
Reference population: These data refer to the resident population of the United States and Puerto Rico.
SOURCE: U.S. Census Bureau, Decennial Census and Population Projections; Department of Veterans Affairs, VetPop2007.
85 and over
Men
Women
Percent
Estimates
2000
Projections
2010
2020
64.3
50.3
33.0
1.7
1.3
1.3
65.2
41.8
27.3
1.1
1.0
1.5
70.9
60.3
39.2
2.7
1.1
1.0
32.6
66.5
51.9
1.0
2.5
1.2
-------
INDICATOR 6
Older Veterans continued
Table 6b. Estimated and projected number of veterans age 65 and over, by sex and age group, United States and
Puerto Rico, 2000 and projected 2010 and 2020
65 and over
Total
Men
Women
65-74
Total
Men
Women
75-84
Total
Men
Women
85 and over
Total
Men
Women
2000
9,723
9,374
349
5,628
5,516
112
3,667
3,460
207
427
398
30
Estimates
2010
Number in thousands
9,132
8,831
302
4,336
4,214
122
3,421
3,340
82
1,375
1,277
98
Projections
2020
8,555
8,144
411
4,430
4,159
271
2,841
2,750
90
1,285
1,235
50
Reference population: These data refer to the resident population of the United States and Puerto Rico.
SOURCE: Department of Veterans Affairs, VetPop2007.
-------
INDICATOR 7
Poverty
Table 7a. Percentage of the population living in poverty, by age group, 2007
Year
1959
1960
1961
1962
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
65 and over
35.2
na
na
na
na
na
na
28.5
29.5
25.0
25.3
24.6
21.6
18.6
16.3
14.6
15.3
15.0
14.1
14.0
15.2
15.7
15.3
14.6
13.8
12.4
12.6
12.4
12.5
12.0
11.4
12.2
12.4
12.9
12.2
11.7
10.5
10.8
10.5
10.5
9.7
9.9
10.1
10.4
10.2
9.8
10.1
9.4
9.7
Under 18
27.3
26.9
25.6
25.0
23.1
23.0
21.0
17.6
16.6
15.6
14.0
15.1
15.3
15.1
14.4
15.4
17.1
16.0
16.2
15.9
16.4
18.3
20.0
21.9
22.3
21.5
20.7
20.5
20.3
19.5
19.6
20.6
21.8
22.3
22.7
21.8
20.8
20.5
19.9
18.9
17.1
16.2
16.3
16.7
17.6
17.8
17.6
17.4
18.0
18 to 64
Percent
17.0
na
na
na
na
na
na
10.5
10.0
9.0
8.7
9.0
9.3
8.8
8.3
8.3
9.2
9.0
8.8
8.7
8.9
10.1
11.1
12.0
12.4
11.7
11.3
10.8
10.6
10.5
10.2
10.7
11.4
11.9
12.4
11.9
11.4
11.4
10.9
10.5
10.1
9.6
10.1
10.6
10.8
11.3
11.1
10.8
10.9
65-74
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
12.4
11.9
10.3
10.6
10.3
9.9
10.0
8.8
9.7
10.6
10.6
10.0
10.1
8.6
8.8
9.2
9.1
8.8
8.6
9.2
9.4
9.0
9.4
8.9
8.6
8.8
75-84
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
17.4
16.7
15.2
15.3
15.3
16.0
14.6
14.6
14.9
14.0
15.2
14.1
12.8
12.3
12.5
11.3
11.6
9.8
10.6
10.4
11.1
11.0
9.7
10.9
10.0
9.8
85 and over
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
na
21.2
21.3
18.4
18.7
17.6
18.9
17.8
18.4
20.2
18.9
19.9
19.7
18.0
15.7
16.5
15.7
14.2
14.2
14.5
13.9
13.6
13.8
12.6
13.4
11.4
13.0
na: Data not available.
NOTE: The poverty level is based on money income and does not include noncash benefits such as food stamps. Poverty thresholds reflect family size and
composition and are adjusted each year using the annual average Consumer Price Index. For more detail, see U.S. Census Bureau, Series P-60, No. 222. Poverty
status in the current Population Survey is based on prior year income.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
-------
INDICATOR 7
Poverty continued
Table 7b. Percentage of the population age 65 and over living in poverty, by selected characteristics, 2007
Selected characteristic
65 and over
65 and over,
living alone
65 and over,
married
couples
65-74
75 and over
Both Sexes
Total
Non-Hispanic white alone
Black alone
Asian alone
Hispanic
Male
Total
Non-Hispanic white alone
Black alone
Asian alone
Hispanic
Female
Total
Non-Hispanic white alone
Black alone
Asian alone
Hispanic
9.7
7.4
23.2
11.3
17.1
6.6
4.7
16.8
9.9
13.3
12.0
9.4
27.3
12.4
20.0
17.8
14.4
33.5
31.3
35.7
11.8
8.9
21.5
26.5
24.1
19.9
16.2
39.0
33.0
39.8
Percent
4.2
3.1
9.6
7.4
10.8
4.3
3.1
10.2
8.2
11.8
4.1
3.2
8.7
6.4
9.6
8.8
6.1
23.5
9.4
16.5
6.5
4.1
20.3
8.7
13.1
10.8
7.8
25.8
10.1
19.2
10.6
8.8
22.8
14.1
18.0
6.7
5.5
11.0
12.0
13.6
13.2
10.9
29.2
15.4
21.2
NOTE: The poverty level is based on money income and does not include noncash benefits such as food stamps. Poverty thresholds reflect family size and
composition and are adjusted each year using the annual average Consumer Price Index. For more details, see U.S. Census Bureau, Series P-60, No. 222. The
term "non-Hispanic white alone" is used to refer to people who reported being white and no other race and who are not Hispanic. The term "black alone" is used to
refer to people who reported being black or African American and no other race, and the term "Asian alone" is used to refer to people who reported only Asian as their
race. The use of single-race populations in this report does not imply that this is the preferred method of presenting or analyzing data. The U.S. Census Bureau uses
a variety of approaches.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2008.
-------
INDICATOR 8
Income
Table 8a. Income distribution of the population age 65 and over, 1974-2007
Year
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
Poverty
14.6
15.3
15.0
14.1
14.0
15.2
15.7
15.3
14.6
13.8
12.4
12.6
12.4
12.5
12.0
11.4
12.2
12.4
12.9
12.2
11.7
10.5
10.8
10.5
10.5
9.7
9.9
10.1
10.4
10.2
9.8
10.1
9.4
9.8
Low income
34.6
35.0
34.7
35.9
33.4
33.0
33.5
32.8
31.4
29.7
30.2
29.4
28.4
27.8
28.4
29.1
27.0
28.0
28.6
29.8
29.5
29.1
29.5
28.1
26.8
26.2
27.5
28.1
28.0
28.5
28.1
26.6
26.2
26.3
Middle income
Percent
32.6
32.3
31.8
31.5
34.2
33.6
32.4
33.1
33.3
34.1
33.8
34.6
34.4
35.1
34.5
33.6
35.2
36.3
35.6
35.0
35.6
36.1
34.7
35.3
35.3
36.4
35.5
35.2
35.3
33.8
34.6
35.2
35.7
33.3
High income
18.2
17.4
18.5
18.5
18.5
18.2
18.4
18.9
20.7
22.4
23.6
23.4
24.8
24.7
25.1
25.9
25.6
23.3
22.9
23.0
23.2
24.3
25.1
26.0
27.5
27.7
27.1
26.7
26.2
27.5
27.5
28.1
28.6
30.6
NOTE: The income categories are derived from the ratio of the family's income (or an unrelated individual's income) to the corresponding poverty threshold. Being in
poverty is measured as income less than 100 percent of the poverty threshold. Low income is between 100 percent and 199 percent of the poverty threshold. Middle
income is between 200 percent and 399 percent of the poverty threshold. High income is 400 percent or more of the poverty threshold.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 1975-2008.
-------
INDICATOR 8
Income continued
Table 8b. Median income of householders age 65 and over, in current and 2007 dollars, 1974-2007
Year
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
Number
(in thousands)
14,263
14,802
14,816
15,225
15,795
16,544
16,912
17,312
17,671
17,901
18,155
18,596
18,998
19,412
19,716
20,156
20,527
20,921
20,682
20,806
21,365
21,486
21,408
21,497
21,589
22,478
22,469
22,476
22,659
23,048
23,151
23,459
23,729
24,113
Current dollars
5,292
5,585
5,962
6,347
7,081
7,879
8,781
9,903
11,041
11,718
12,799
13,254
13,845
14,443
14,923
15,771
16,855
16,975
17,135
17,751
18,095
19,096
19,448
20,761
21 ,729
22,797
23,083
23,118
23,152
23,787
24,516
26,036
27,798
28,305
2007 dollars
20,838
20,322
20,513
20,542
21 ,446
21,777
21,845
22,495
23,653
24,076
25,262
25,292
25,950
26,186
26,099
26,441
26,917
26,170
25,764
26,046
25,996
26,789
26,575
27,769
28,664
29,458
28,861
28,115
27,709
27,847
27,945
28,715
29,685
29,393
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 1975-2008.
-------
INDICATOR 9
Sources of Income
Table 9a. Distribution of sources of income for age units (married couples and nonmarried persons) 65 or older,
1962-2008
Year Total
1962
1967
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
1999
2000
2001
2002
2003
2004
2005
2006
2008
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
Social Security
31
34
39
38
39
39
38
38
38
36
40
42
40
38
38
38
39
39
39
39
37
37
37
Asset
Income
16
15
18
19
22
25
28
26
25
24
21
18
18
20
19
18
16
14
14
13
13
15
13
NOTE: A married couple is age 65 and over if the husband is age 65 and over or the husband
Reference population: These data refer to the civilian noninstitutionalized population.
Pensions
9
12
16
16
16
15
15
16
17
18
20
19
19
19
19
18
18
19
19
20
19
18
19
Earnings
28
29
23
23
19
18
16
17
17
18
17
18
20
21
21
23
24
25
25
26
28
28
30
Other
16
10
4
4
4
3
3
3
3
4
2
3
3
2
3
3
3
3
2
2
3
3
3
is younger than age 55 and the wife is age 65 and over.
SOURCE: Social Security Administration, 1 963 Survey of the Aged, and 1 968 Survey of Demographic and Economic Characteristics of the Aged; U.S. Census
Bureau, Current Population Survey, Annual Social and Economic Supplement, 1977-2007.
Table 9b. Sources of income
quintile, 2008.
Income Source
Total
Social Security
Asset income
Pensions
Earnings
Public assistance
Other
for married couples and
Lowesf fifth
100.0
83.2
2.1
3.3
1.8
8.5
1.1
nonmarried
Second fifth
100.0
81.8
3.4
7.5
3.9
1.7
1.7
people who are age
Third
fifth
Percent
100.0
64.4
6.5
16.4
9.8
0.5
2.3
65 and over,
Fourth fifth
100.0
43.6
8.4
25.5
19.4
0.1
2.9
by income
Highest fifth
100.
17.
17.
18.
43.
0.
1.
0
,9
,8
,7
7
1
,8
NOTE: A married couple is age 65 and over if the husband is age 65 and over or the husband is younger than age 55 and the wife is age 65 and over. The definition
of "other" includes, but is not limited to, public assistance, unemployment compensation, worker's compensation, alimony, child support, and personal contributions.
Quintile limits are $12,082, $19,877, $31,303, and $55,889 for all units; $23,637, $35,794, $53,180, and $86,988 for married couples; and $9,929, $14,265, $20,187,
and $32,937 for nonmarried persons.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Survey, Annual Social and Economic Supplement, 2009.
-------
INDICATOR 9
Sources of Income continued
Table 9c. Percentage of people age 55 and over with family income from specified sources, by age group, 2008
Aged 65 or older
Source of family income
Earnings
Wages and salaries
Self-employment
Retirement benefits
Social Security
Benefits other than Social
Security
Other public pensions
Railroad Retirement
Government employee
pensions
Military
Federal
State or local
Private pensions or annuities
Income from assets
Interest
Other income from assets
Dividends
Rent or royalties
Estates or trusts
Veterans' benefits
Unemployment compensation
Workers' compensation
Cash public assistance and
noncash benefits
Cash public assistance
Supplemental Security
Income
Other
Noncash benefits
Food
Energy
Housing
Personal contributions
Number (thousands)
55-61
85.7
82.1
12.6
33.0
20.5
19.8
9.2
0.3
8.9
1.9
2.0
5.3
11.4
59.6
57.7
25.7
21.8
8.5
0.3
3.8
6.7
1.5
10.3
5.8
5.2
0.8
7.0
5.0
2.1
2.4
2.5
25,796
62-64
72.3
68.2
11.3
62.0
51.6
33.8
14.9
0.5
14.3
2.4
3.3
9.4
20.6
60.8
58.3
27.8
23.4
9.2
0.2
4.4
4.9
1.3
10.4
5.4
4.8
0.8
7.1
4.5
2.6
2.5
1.8
8,493
Total
38.2
35.1
5.9
91.3
88.7
44.0
16.1
0.6
15.6
2.2
4.3
9.9
30.9
59.2
57.2
24.8
20.6
7.9
0.2
4.2
2.5
0.6
11.7
4.8
4.5
0.4
9.1
4.5
2.8
4.3
1.4
37,788
65-69
55.2
50.9
9.2
86.6
83.0
43.0
15.7
0.4
15.3
2.0
3.8
10.3
30.0
61.0
59.0
26.8
22.2
8.9
0.2
3.5
3.4
0.9
10.2
4.1
3.8
0.4
8.0
4.6
2.6
3.4
1.7
11,825
70-74
40.5
36.9
6.4
92.9
90.4
44.9
16.8
0.4
16.4
2.7
4.2
10.4
31.2
58.3
57.1
24.5
20.4
7.8
0.2
3.7
2.8
0.6
12.4
5.9
5.6
0.5
9.4
5.1
2.9
4.3
1.4
8,579
75-79
30.0
27.2
4.7
93.4
91.4
45.1
16.2
0.6
15.7
2.5
4.3
10.1
32.1
59.7
57.4
25.4
21.2
7.8
0.2
4.8
2.2
0.7
11.8
4.8
4.5
0.3
9.2
4.4
2.7
4.5
1.1
7,329
80 or older
22.0
20.6
2.5
94.1
91.9
43.8
16.0
1.0
15.1
1.7
5.0
8.9
30.7
57.4
55.0
22.4
18.5
6.8
0.4
5.1
1.4
0.3
12.7
4.6
4.4
0.3
9.9
4.0
3.2
5.3
1.4
10,054
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: U.S. Census Bureau, Current Population Suvey, Annual Social and Economic Supplement, 2009.
-------
INDICATOR 10
Net Worth
Table 10. Median household net worth of head of household, by selected characteristics, in 2005 dollars, selected
years 1984-2007
Selected characteristic
1984
1989
1994
1999
2001
2003
2005
2007
In dollars
Age of family head
65 and over $109,000
45-54
55-64
65-74
75 and over
Marital status, family head age
Married
Unmarried
Race, family head age 65 and
White
Black
129,700
139,700
128,100
94,000
$118,900
115,400
175,600
148,100
98,400
$131,800
117,300
183,800
152,900
108,900
$177,200
1 04,300
168,800
206,300
150,100
$198,300
107,000
182,000
226,100
158,800
$192,400
107,000
185,700
207,500
169,800
$196,000
108,300
201 ,000
218,500
181,000
$237,000
124,000
200,000
272,000
215,000
65 and over
171,100
77,100
over
125,000
28,200
216,600
72,500
135,500
36,500
242,200
81 ,500
145,000
40,900
276,700
106,200
206,300
32,800
320,900
111,200
226,100
45,200
322,700
110,900
228,200
27,900
328,300
104,000
226,900
37,800
385,000
152,000
280,000
46,000
Education, family head age 65 and over
No high school diploma
High school diploma only
Some college or more
60,900
150,900
238,700
60,300
160,500
275,600
65,900
142,300
296,500
64,500
187,600
352,900
63,200
189,700
397,500
63,200
170,900
399,600
59,500
1 84,000
412,100
78,000
216,200
434,400
NOTE: Net worth data do not include pension wealth. This excludes private defined-contribution and defined-benefit plans as well as rights to Social Security wealth.
Data for 1984-2003 have been inflation adjusted to 2007 dollars. See Appendix B for the definition of race and Hispanic origin in the Panel Study of
Income Dynamics.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Panel Study of Income Dynamics.
-------
INDICATOR 11
Participation in the Labor Force
Table 11. Labor force participation of persons ages 55 and over by age group and sex, annual averages, 1963-2008
Men
Year
1963
1964
1965
1966
1967
1968
1969
1970
1971
1972
1973
1974
1975
1976
1977
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
55-61
89.9
89.5
88.8
88.6
88.5
88.4
88.0
87.7
86.9
85.6
84.0
83.4
81.9
81.1
80.9
80.3
79.5
79.1
78.4
78.5
77.7
76.9
76.6
75.8
76.3
75.8
76.3
76.7
76.1
75.7
74.9
73.8
74.3
74.8
75.4
75.5
75.4
74.3
74.9
75.4
74.9
74.4
74.7
75.2
75.4
75.8
62-64
75.8
74.6
73.2
73.0
72.7
72.6
70.2
69.4
68.4
66.3
62.4
60.8
58.6
56.1
54.6
54.0
54.3
52.6
49.4
48.0
47.7
47.5
46.1
45.8
46.0
45.4
45.3
46.5
45.5
46.2
46.1
45.1
45.0
45.7
46.2
47.3
46.9
47.0
48.2
50.4
49.5
50.8
52.5
52.4
51.7
53.0
65-69
40.9
42.6
43.0
42.7
43.4
43.1
42.3
41.6
39.4
36.8
34.1
32.9
31.7
29.3
29.4
30.1
29.6
28.5
27.8
26.9
26.1
24.6
24.4
25.0
25.8
25.8
26.1
26.0
25.1
26.0
25.4
26.8
27.0
27.5
28.4
28.0
28.5
30.3
30.2
32.2
32.8
32.6
33.6
34.4
34.3
35.6
70 and over
Percent
20.8
19.5
19.1
17.9
17.6
17.9
18.0
17.6
16.9
16.6
15.6
15.5
15.0
14.2
13.9
14.2
13.8
13.1
12.5
12.2
12.2
11.4
10.5
10.4
10.5
10.9
10.9
10.7
10.5
10.7
10.3
11.7
11.6
11.5
11.6
11.1
11.7
12.0
12.1
11.5
12.3
12.8
13.5
13.9
14.0
14.6
55-61
43.7
44.5
45.3
45.5
46.4
46.2
47.3
47.0
47.0
46.4
45.7
45.3
45.6
45.9
45.7
46.2
46.6
46.1
46.6
46.9
46.4
47.1
47.4
48.1
48.9
49.9
51.4
51.7
52.1
53.6
53.8
55.5
55.9
56.4
57.3
57.6
57.9
58.3
58.9
61.1
62.5
62.1
62.7
63.8
63.8
64.6
Women
62-64
28.8
28.5
29.5
31.6
31.5
32.1
31.6
32.3
31.7
30.9
29.2
28.9
28.9
28.3
28.5
28.5
28.8
28.5
27.6
28.5
29.1
28.8
28.7
28.5
27.8
28.5
30.3
30.7
29.3
30.5
31.7
33.1
32.5
31.8
33.6
33.3
33.7
34.1
36.7
37.6
38.6
38.7
40.0
41.5
41.8
24.0
65-69
16.5
17.5
17.4
17.0
17.0
17.0
17.3
17.3
17.0
17.0
15.9
14.4
14.5
14.9
14.5
14.9
15.3
15.1
14.9
14.9
14.7
14.2
13.5
14.3
14.3
15.4
16.4
17.0
17.0
16.2
16.1
17.9
17.5
17.2
17.6
17.8
18.4
19.5
20.0
20.7
22.7
23.3
23.7
24.2
25.7
26.4
70 and over
5.9
6.2
6.1
5.8
5.8
5.8
6.1
5.7
5.6
5.4
5.3
4.8
4.8
4.6
4.6
4.8
4.6
4.5
4.6
4.5
4.5
4.4
4.3
4.1
4.1
4.4
4.6
4.7
4.7
4.8
4.7
5.5
5.3
5.2
5.1
5.2
5.5
5.8
5.9
6.0
6.4
6.7
7.1
7.1
7.7
8.1
NOTE: Data for 1994 and later years are not strictly comparable with data for 1993 and earlier years due to a redesign of the survey and methodology of the Current
Population Survey. Beginning in 2000, data incorporate population controls from Census 2000.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, Current Population Survey.
-------
INDICATOR 12
Total Expenditures
Table 12. Percentage of total household annual expenditures by age of reference person, 2008
Personal insurance and pensions
Health care
Transportation
Housing
Food
Other
45-54
12.8
4.8
17.5
32.0
12.6
20.3
55-64
12.7
7.0
17.1
32.1
11.6
19.5
65 and over
5.0
12.5
15.3
35.3
12.7
19.2
65-74
6.3
11.5
16.3
33.4
12.9
19.6
75 and over
3.2
13.9
13.9
38.0
12.4
18.6
NOTE: Other expenditures include apparel, personal care, entertainment, reading, education, alcohol, tobacco, cash contributions, and miscellaneous expenditures.
Data from the Consumer Expenditure Survey by age group represent average annual expenditures for consumer units by the age of reference person, who is the
person listed as the owner or renter of the home. For example, the data on people age 65 and over reflect consumer units with a reference person age 65 or older.
The Consumer Expenditure Survey collects and publishes information from consumer units, which are generally defined as a person or group of people who live in
the same household and are related by blood, marriage, or other legal arrangement (i.e., a family), or people who live in the same household but who unrelated and
financially independent from one another (e.g., roommates sharing an apartment). A household usually refers to a physical are dwelling, and may contain more than
one consumer unit. However, for convenience the term "household" is substituted for "consumer "unit" in this text.
Reference population: These data refer to the resident noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, Consumer Expenditure Survey.
INDICATOR 13
Housing Problems
Table 13a. Percentage of households with any resident age 65 and over that report housing problems, by type of
problems, selected years 1985-2007
House/7 olds
Households with a resident
age 65 and over
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Numbers in
1,000s
20,912
7,522
6,251
1,737
193
22,017
7,315
6,056
1,706
148
22,791
7,841
6,815
1,402
150
22,975
8,566
7,642
1,321
165
Percent
1985
100
36
30
8
1
1989
100
33
28
8
1
1995
100
34
30
6
1
1997
100
37
33
6
1
People*
Numbers in
1,000s
27,375
9,118
7,498
2,131
238
29,372
8,995
7,394
2,117
180
30,328
9,590
8,290
1,731
199
30,776
10,715
9,539
1,592
224
Percent
100
33
27
8
1
100
31
25
7
1
100
32
27
6
1
100
35
31
5
1
See footnotes at end of table.
-------
INDICATOR 13
Housing Problems continued
Table 13a. Percentage of households with any resident age 65 and over that report housing problems, by type of
problems, selected years 1985-2007 (continued)
Households
People*
Households with a resident
age 65 and over
Numbers in 1,000s Percent
Numbers in 1,000s Percent
1999
Total 23,589 100
Number and percent with
One or more of the housing problems 8,534 36
Housing cost burden (> 30 percent) 7,635 32
Physically inadequate housing 1,337 6
Crowded housing 173 1
Total 24,038 100
Number and percent with
One or more of the housing problems 9,154 38
Housing cost burden (> 30 percent) 8,312 35
Physically inadequate housing 1,269 5
Crowded housing 222 1
Total 24,140 100
Number and percent with
One or more of the housing problems 8,718 36
Housing cost burden (> 30 percent) 7,794 32
Physically inadequate housing 1,230 5
Crowded housing 225 1
Total 24,983 100
Number and percent with
One or more of the housing problems 10,153 41
Housing cost burden (> 30 percent) 9,400 38
Physically inadequate housing 1,188 5
Crowded housing 153 1
Total 25,828 100
Number and percent with
One or more of the housing problems 10,252 40
Housing cost burden (> 30 percent) 9,618 37
Physically inadequate housing 1,108 4
Crowded housing 164 1
2001
2003
2005
2007
31,487
10,750
9,641
1,627
209
31,935
11,577
10,501
1,567
288
32,163
10,967
9,808
1,516
300
33,268
12,649
11,672
1,486
189
34,306
12,573
11,756
1,362
199
100
34
31
5
1
100
36
33
5
1
100
34
30
5
1
100
38
35
4
1
100
37
34
4
1
* Number of people age 65 and over. The American Housing Survey (AHS) universe is limited to the household population and excludes the population living in
nursing homes, college dormitories, and other group quarters. The AHS is a representative sample of approximately 60,000 households in the U.S. and because it is
a statistical sample, the estimates presented are subject to both sampling and nonsampling errors. Because the AHS is a household survey, its population estimates
are likely to differ from estimates based on a population survey. The estimated number of households with a resident age 65 and over reflects changes in Census
weights: 1985 and 1989 data are consistent with 1980 Census weights; 1995, 1997, 1999 data with 1990 Census weights; and 2001, 2003, 2005, and 2007 with 2000
Census weights.
NOTE: Data are available biennially for odd years. Housing cost burden is defined as expenditures on housing and utilities in excess of 30 percent of reported income.
Physical problem categories include plumbing, heating, electricity, hallways, and upkeep. See definition in Appendix A of the American Housing Survey summary
volume, American Housing Survey for the United States in 2007, Current Housing Reports, H150/07, U.S. Census bureau, 2008. Crowded housing is defined as
housing in which there is more than one person per room in a residence. The subcategories for housing problems do not add to the total number with housing
problems because a household may have more than one housing problem.
Reference population: These data refer to the resident noninstitutionalized population. People residing in noninstitutional group quarters, such as dormitories or
fraternities, are excluded.
SOURCE: U.S. Census Bureau and the U.S. Department of Housing and Urban Development, American Housing Survey. Tabulated by U.S. Department of Housing
and Urban Development.
-------
INDICATOR 13
Housing Problems continued
Table 13b. Percentage of all U.S. households that report housing problems, by type of problem, selected
1985-2007
years
All U.S. households and persons
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Households
Numbers in 1,000s
88,425
28,709
22,633
7,374
2,496
93,683
28,270
21,690
7,603
2,676
97,694
32,385
26,950
6,370
2,554
99,487
33,402
27,445
6,988
2,806
102,803
33,953
28,204
6,878
2,571
Percent
100
32
26
8
3
100
30
23
8
3
100
33
28
7
3
100
34
28
7
3
100
33
27
7
3
People*
Numbers in 1,000s
1985
234,545
76,447
55,055
20,357
15,071
1989
248,028
75,430
52,449
20,694
16,187
1995
254,160
85,327
65,835
17,432
15,375
1997
257,542
86,559
65,997
18,441
16,860
1999
262,463
86,569
66,945
17,310
15,563
Percent
100
33
23
9
6
100
30
21
8
7
100
34
26
7
6
100
34
26
7
7
100
33
26
7
6
See footnotes at end of table.
-------
INDICATOR 13
Housing Problems continued
Table 13b. Percentage of all U.S. households that report housing problems, by type of problem, selected years
1985-2007 (continued)
Households
People*
All U.S. households and persons
Numbers in 1,000s Percent
Numbers in 1,000s Percent
2001
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
Total
Number and percent with
One or more of the housing problems
Housing cost burden (> 30 percent)
Physically inadequate housing
Crowded housing
105,435
35,937
30,253
6,611
2,631
105,867
36,401
31,044
6,281
2,559
108,901
40,779
35,835
6,199
2,621
110,719
42,837
38,293
5,759
2,529
100
34
29
6
2
100
34
29
6
2
100
37
33
6
2
100
39
35
5
2003
2005
2007
269,102
91,948
71,950
16,709
16,070
269,508
92,516
74,088
15,364
15,589
277,085
102,921
85,542
14,846
16,032
278,818
107,940
91,966
13,929
15,433
100
34
27
6
6
100
34
27
6
6
100
37
31
5
6
100
39
33
5
* The American Housing Survey (AHS) universe is limited to the household population and excludes the population living in nursing homes, college dormitories,
and other group quarters. The AHS is a representative sample of approximately 60,000 households in the U.S. and because it is a statistical sample, the estimates
presented are subject to both sampling and nonsampling errors. Because the AHS is a household survey, its population estimates are likely to differ from estimates
based on a population survey. The estimated number of households reflect changes in Census weights: 1985 and 1989 data are consistent with 1980 Census
weights; 1995, 1997, 1999 data with 1990 Census weights; and 2001, 2003, 2005, and 2007 with 2000 Census weights.
NOTE: Data are available biennially for odd years. Housing cost burden is defined as expenditures on housing and utilities are in excess of 30 percent of reported
income. Physical problem categories include plumbing, heating, electricity, hallways, and upkeep. See definition in Appendix A of the American Housing Survey
summary volume, American Housing Survey for the United States in 2007, Current Housing Reports, H150/07, U.S. Census Bureau, 2008. Crowded housing is
defined as housing in which there is more than one person per room in a residence. The subcategories for housing problems do not add to the total number with
housing problems because a household may have more than one housing problem.
Reference population: These data refer to the resident noninstitutionalized population. People residing in noninstitutional group quarters, such as dormitories or
fraternities, are excluded..
SOURCE: U.S. Census Bureau and the U.S. Department of Housing and Urban Development, American Housing Survey. Tabulated by U.S. Department of Housing
and Urban Development.
-------
INDICATOR 14
Life Expectancy
Table 14a. Life expectancy, by age and sex, selected years 1900-2006
Age and sex
1900
1910
1920
1930
1940
1950
1960
1970
1980
See footnotes at end of table.
Table 14a. Life expectancy, by age and sex, selected years 1900-2006 (continued)
Age and sex
2000
2001
2002
2003
2004
2005
1990
Years
Birth
Both sexes
Men
Women
At age 65
Both sexes
Men
Women
At age 85
Both sexes
Men
Women
49.2
47.9
50.7
11.9
11.5
12.2
4.0
3.8
4.1
51.5
49.9
53.2
11.6
11.2
12.0
4.0
3.9
4.1
56.4
55.5
57.4
12.5
12.2
12.7
4.2
4.1
4.3
59.2
57.7
60.9
12.2
11.7
12.8
4.2
4.0
4.3
63.6
61.6
65.9
12.8
12.1
13.6
4.3
4.1
4.5
68.1
65.5
71.0
13.8
12.7
15.0
4.7
4.4
4.9
69.9
66.8
73.2
14.4
13.0
15.8
4.6
4.4
4.7
70.8
67.0
74.6
15.0
13.0
16.8
5.3
4.7
5.6
73.9
70.1
77.6
16.5
14.2
18.4
6.0
5.1
6.4
75.4
71.8
78.8
17.3
15.1
19.0
6.2
5.3
6.7
2006
Birth
Both sexes
Men
Women
At age 65
Both sexes
Men
Women
At age 85
Both sexes
Men
Women
76.8
74.1
79.3
17.6
16.0
19.0
6.1
5.4
6.5
76.9
74.2
79.4
17.7
16.2
19.0
6.1
5.5
6.5
76.9
74.3
79.5
17.8
16.2
19.1
6.1
5.4
6.5
Years
77.1
74.5
79.6
17.9
16.4
19.2
6.1
5.5
6.5
77.5
74.9
79.9
18.2
16.7
19.5
6.3
5.6
6.7
77.4
74.9
79.9
18.2
16.8
19.5
6.2
5.6
6.6
77.7
75.1
80.2
18.5
17.0
19.7
6.4
5.7
6.8
NOTE: The life expectancies (LEs) for decennial years 1910 to 1990 are based on decennial census data and deaths for a 3-year period around the census year.
The LEs for decennial year 1900 are based on deaths from 1900 to 1902. LEs for years prior to 1930 are based on the death registration area only. The death
registration area increased from 10 states and the District of Columbia in 1900 to the coterminous United States in 1933. LEs for 2000-2006 are based on a newly
revised methodology that uses vital statistics death rates for ages under 66 and modeled probabilities of death for ages 66 to 100 based on blended vital statistics and
Medicare probabilities of dying and may differ from figures previously published.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
Table 14b. Life expectancy, by age and sex, 2006
Total
Men
Women
Age
White
Black
White
Black
White
Black
Years
Birth
At age 65
At age 85
78.2
18.6
6.3
73.2
17.1
6.7
75.7
17.1
5.7
69.7
15.1
5.9
80.6
19.8
6.7
76.5
18.6
7.1
NOTE: See Appendix B for the definition of race in the National Vital Statistics System.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 14
Life Expectancy continued
Table 14c. Average life expectancy at age 65, by sex and selected countries or areas, selected years 1980-2005
Men
Years of life remaining
for people who reach age 65
Australia
Austria
Belgium
Bulgaria
Canada
Chile
Costa Rica
Cuba
Czech Republic1
Denmark
England and Wales2
Finland
France
Germany3
Greece
Hong Kong
Hungary
Ireland
Israel
Italy
Japan
Netherlands
New Zealand
Northern Ireland2
Norway
Poland
Portugal
Romania
Russian Federation
Scotland2
Singapore
Slovakia1
Spain
Sweden
Switzerland
United States
Year
1980
13.7
12.9
12.9
12.7
14.5
na
16.1
na
11.2
13.6
12.9
12.5
13.6
13.0
14.6
13.9
11.6
12.6
14.4
13.3
14.6
13.7
13.2
11.9
14.3
12.0
12.9
12.6
11.6
12.3
12.6
12.3
14.8
14.3
14.4
14.1
1990
15.2
14.3
14.3
12.9
15.7
14.6
17.2
na
11.7
14.0
14.1
13.7
15.5
14.0
15.7
15.3
12.0
13.3
15.9
15.1
16.2
14.4
14.7
13.7
14.6
12.7
13.9
13.3
12.1
13.1
14.5
12.2
15.4
15.3
15.3
15.1
2000
16.9
16.0
15.6
12.8
16.8
15.3
17.2
16.7
13.8
15.2
15.8
15.5
16.7
15.7
16.3
17.3
12.7
14.6
16.9
16.5
17.5
15.3
16.7
15.3
16.0
13.6
15.3
13.5
11.1
14.7
15.8
12.9
16.6
16.7
16.9
16.0
2005
18.1
17.0
16.6
na
17.9
15.9
18.1
17.1
14.4
16.1
17.1
16.8
17.7
16.9
17.2
17.8
13.1
16.8
18.2
na
18.1
16.4
17.8
16.6
17.2
14.4
16.1
13.4
11.0
15.8
16.9
13.2
17.3
17.4
18.1
16.8
7980
17.9
16.3
16.9
14.7
18.9
na
18.1
na
14.4
17.6
16.9
16.5
18.2
16.7
16.8
13.9
14.6
15.7
15.8
17.1
17.7
18.0
17.0
15.8
18.0
15.5
16.5
14.2
15.6
16.2
15.4
15.4
17.9
17.9
17.9
18.3
Women
Year
1990
19.0
17.8
18.8
15.4
19.9
17.6
19.5
na
15.3
17.8
17.9
17.7
19.8
17.6
18.0
18.8
15.3
16.9
17.8
18.8
20.0
18.9
18.3
17.5
18.5
16.9
17.0
15.3
15.9
16.7
16.9
15.7
19.0
19.0
19.4
18.9
2000
20.4
19.4
19.7
15.4
20.4
18.6
19.7
19.0
17.3
18.3
19.0
19.3
21.2
19.4
18.3
21.5
16.5
17.8
19.3
20.4
22.4
19.2
20.0
18.5
19.7
17.3
18.7
15.9
15.2
17.8
19.0
16.5
20.4
20.0
20.7
19.2
2005
21.4
20.3
20.2
na
21.1
20.0
20.7
19.6
17.7
19.1
19.9
21.0
22.0
20.1
19.4
22.9
16.9
20.0
20.2
na
23.2
20.0
20.5
19.5
20.9
18.6
19.4
16.2
15.4
18.6
20.4
16.9
21.3
20.6
21.7
19.5
na: Data not available.
1ln 1993, Czechoslovakia was divided into two nations, the Czech Republic and Slovakia. Data for 1980 and 1990 refer to the respective Czech and Slovak regions of
the former Czechoslovakia.
2Different geographic constituents of the United Kingdom may have separate statistical systems. This table includes data for three such areas: England and Wales,
Northern Ireland, and Scotland.
3 Data for 1980 and 1990 refer to the former Federal Republic of Germany (West Germany); from 2000 onwards, data refer to Germany after reunification.
NOTE: Countries or areas in this table have populations of at least one million and death registrations that are at least 90 percent complete. However, this table is not
a comprehensive listing of all countries with these characteristics; for details see Health, United States, 2008. Estimates for the United States for 2000 and 2005 have
been revised and may differ from figures previously published. See Table 14a.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, Health, United States, 2008.
-------
INDICATOR 15
Mortality
Table 15a. Death rates for selected leading causes of death among people age 65 and over, 1981-2006
Year
Total
Diseases of
heart
Chronic
lower
Malignant Cerebrovascular respiratory Influenza and
neoplasm diseases diseases pneumonia
Diabetes
mellitus
Alzheimer's
disease
Number per 100,000 population
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
5,713.9
5,609.7
5,685.4
5,644.8
5,693.8
5,628.7
5,577.7
5,625.0
5,456.9
5,352.8
5,290.7
5,205.2
5,348.6
5,269.9
5,264.7
5,221.7
5,178.9
5,168.1
5,220.0
5,137.2
5,044.1
5,000.5
4,907.2
4,698.8
4,676.0
4,518.5
-20.9
2,546.7
2,503.2
2,512.0
2,449.5
2,430.9
2,371.7
2,316.4
2,305.7
2,171.8
2,091.1
2,045.6
1,989.5
2,024.0
1,952.3
1,927.4
1,877.6
1,827.2
1,791.5
1,767.0
1,694.9
1,631.6
1,585.2
1,524.9
1,418.2
1,375.7
1,296.7
-49.1
1 ,055.7
1 ,068.9
1 ,077.5
1,087.1
1,091.2
1,101.2
1,105.5
1,114.1
1,133.0
1,141.8
1,149.5
1,150.6
1,159.2
1,155.3
1,152.5
1,140.8
1,127.3
1,119.2
1,126.1
1,119.2
1,100.2
1 ,090.9
1 ,073.0
1,051.7
1 ,041 .3
1 ,025.4
Percentage
-2.9
623.8
585.2
564.4
546.2
531.0
506.3
495.9
489.4
463.7
447.9
434.7
424.5
434.5
433.7
437.7
433.1
423.8
411.9
433.2
422.7
404.1
393.2
372.8
346.2
320.3
296.8
change between
-52.4
185.8
186.1
204.3
210.8
225.4
227.7
229.7
240.0
240.2
245.0
251.7
252.5
273.6
271.3
271.2
275.5
280.2
268.8
313.0
303.6
300.7
300.6
299.1
284.3
298.8
279.2
1981 and 2006
50.3
207.2
181.2
207.2
214.0
242.9
244.7
237.4
263.1
253.3
258.2
245.1
232.7
247.9
238.1
237.2
233.5
236.3
247.4
167.4
167.2
154.9
160.7
154.8
139.0
141.9
123.7
"-26.1
105.8
102.3
104.4
102.6
103.4
100.8
102.3
104.7
120.4
120.4
120.8
120.8
128.4
132.6
135.9
139.4
140.2
143.4
150.0
149.6
151.1
152.0
150.7
146.0
146.5
136.9
29.4
6.0
9.2
16.3
23.5
31.0
35.0
41.8
44.7
47.3
48.7
48.7
48.8
55.3
59.8
64.9
65.9
67.7
67.0
128.8
139.9
148.3
158.7
167.7
170.6
179.3
176.9
*37.3
*Change calculated from 1999 when ICD-10 was implemented.
NOTE: Death rates for 1981-1998 are based on the 9th revision of the International Classification of Disease (ICD-9). Starting in 1999, death rates are based on
ICD-10. For the period 1981-1998, causes were coded using ICD-9 codes that are most nearly comparable with the 113 cause list for the ICD-10 and may differ from
previously published estimates. Population estimates for July 1, 2000, and July 1, 2001, are postcensal estimates and have been bridged to be consistent with the
race categories used in the 1990 Decennial Census. These estimates were produced by the National Center for Health Statistics under a collaborative arrangement
with the U.S. Census Bureau. Population estimates for 1990-1999 are intercensal estimates, based on the 1990 Decennial Census and bridged estimates for 2000.
These estimates were produced by the Population Estimates Program of the U.S. Census Bureau with support from the National Cancer Institute (NCI). For more
information on the bridged race population estimates for 1990-2001, see http //www.cdc.gov/nchs/nvss/bridged_race.htm. Death rates for 1990-2001 may differ
from those published elsewhere because of the use of the bridged intercensal and postcensal population estimates. Rates are age adjusted using the 2000 standard
population. Rates are age-adjusted using the 2000 standard population.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 15
Mortality continued
Table 15b. Leading causes of death among people age 65 and over, by sex and race and Hispanic origin, 2006
All races
White
Black
Asian or Pacific
Islander
American
Indian
Hispanic
Men
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Diseases of heart
Malignant
neoplasms
Chronic lower
respiratory
diseases
Cerebrovascular
diseases
Diabetes mellitus
Influenza and
pneumonia
Alzheimer's
disease
Unintentional
injuries
Nephritis
Septicemia
Parkinson's
disease
Pneumonitis
Hypertension
Aortic aneurysm
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Chronic lower
respiratory
diseases
Cerebrovascular
diseases
Diabetes mellitus
Alzheimer's
disease
Influenza and
pneumonia
Unintentional
injuries
Nephritis
Parkinson's
disease
Septicemia
Pneumonitis
Hypertension
Aortic aneurysm
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Chronic lower
respiratory
diseases
Nephritis
Influenza and
pneumonia
Septicemia
Hypertension
Unintentional
injuries
Alzheimer's
disease
Pneumonitis
1Benign
neoplasms
'Parkinson's
disease
Liver disease
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Diabetes mellitus
2Benign
neoplasms
Unintentional
injuries
Alzheimer's
disease
Hypertension
Septicemia
Parkinson's
disease
Aortic aneurysm
Pneumonitis
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Diabetes mellitus
Chronic lower
respiratory
diseases
Cerebrovascular
diseases
Unintentional
injuries
Influenza and
pneumonia
Nephritis
Alzheimer's
disease
Septicemia
Liver disease
Hypertension
Parkinson's
disease
Pneumonitis
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Nephritis
Unintentional
injuries
Alzheimer's
disease
Liver disease
Septicemia
Parkinson's
disease
Hypertension
Pneumonitis
Benign
neoplasms
'For black men, Benign neoplasms and Parkinson's disease tied for 13th.
2For Asian or Pacific Islander men, Benign neoplasms and Unintentional injuries tied for 7th.
3For American Indian women, Benign neoplasms and Pneumonitis tied for 13th.
NOTE: See Appendix B for the definition of race and Hispanic origin in the National Vital Statistics System.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 15
Mortality continued
Table 15b. Leading causes of death among people age 65 and over, by sex and race and Hispanic origin, 2006
(continued)
All races
White
Black
Asian or Pacific
Islander
American
Indian
Hispanic
Women
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Alzheimer's
disease
Diabetes mellitus
Influenza and
pneumonia
Nephritis
Unintentional
injuries
Septicemia
Hypertension
Parkinson's
disease
Pneumonitis
Benign
neoplasms
Atherosclerosis
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Alzheimer's
disease
Influenza and
pneumonia
Diabetes mellitus
Unintentional
injuries
Nephritis
Septicemia
Hypertension
Parkinson's
disease
Pneumonitis
Benign
neoplasms
Atherosclerosis
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Nephritis
Alzheimer's
disease
Chronic lower
respiratory
diseases
Septicemia
Influenza and
pneumonia
Hypertension
Unintentional
injuries
Pneumonitis
Benign
neoplasms
Aortic aneurysm
Atherosclerosis
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Influenza and
pneumonia
Alzheimer's
disease
Chronic lower
respiratory
diseases
Nephritis
Unintentional
injuries
Hypertension
Septicemia
Parkinson's
disease
Pneumonitis
Benign
neoplasms
Aortic aneurysm
Diseases of heart
Malignant
neoplasms
Diabetes mellitus
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Alzheimer's
disease
Nephritis
Influenza and
pneumonia
Unintentional
injuries
Liver disease
Septicemia
Hypertension
3Benign
neoplasms
3Pneumonitis
Parkinson's
disease
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Alzheimer's
disease
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Nephritis
Unintentional
injuries
Septicemia
Hypertension
Liver disease
Parkinson's
disease
Pneumonitis
Benign
neoplasms
'For black men, Benign neoplasms and Parkinson's disease tied for 13th.
2For Asian or Pacific Islander men, Benign neoplasms and Unintentional injuries tied for 7th.
3For American Indian women, Benign neoplasms and Pneumonitis tied for 13th.
NOTE: See Appendix B for the definition of race and Hispanic origin in the National Vital Statistics System.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 15
Mortality continued
Table 15c. Leading causes of death among people age 85 and over, by sex and race and Hispanic origin, 2006
All races
White
Black
Asian or Pacific
Islander
American
Indian
Hispanic
Men
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Alzheimer's
disease
Influenza and
pneumonia
Nephritis
Unintentional
injuries
Diabetes mellitus
Parkinson's
disease
Pneumonitis
Septicemia
Hypertension
Benign
neoplasms
Aortic aneurysm
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Alzheimer's
disease
Influenza and
pneumonia
Nephritis
Unintentional
injuries
Diabetes mellitus
Parkinson's
disease
Pneumonitis
Septicemia
Hypertension
Benign
neoplasms
Aortic aneurysm
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Nephritis
Alzheimer's
disease
Diabetes mellitus
Septicemia
Hypertension
Unintentional
injuries
Pneumonitis
Benign
neoplasms
Atherosclerosis
Parkinson's
disease
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Influenza and
pneumonia
Chronic lower
respiratory
diseases
Alzheimer's
disease
Diabetes mellitus
Nephritis
Unintentional
injuries
Hypertension
Pneumonitis
Parkinson's
disease
Septicemia
Aortic aneurysm
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Influenza and
pneumonia
Diabetes mellitus
'Alzheimer's
disease
'Chronic lower
respiratory
disease
Cerebrovascular
diseases
Nephritis
'Pneumonitis
'Unintentional
injuries
'Septicemia
'Hypertension
Parkinson's
disease
Benign
neoplasms
Enterocolitis
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Alzheimer's
disease
Diabetes mellitus
Nephritis
Unintentional
injuries
Parkinson's
disease
Septicemia
Hypertension
Pneumonitis
Benign
neoplasms
Liver disease
'For American Indian men, Alzheimer's disease and Chronic lower respiratory disease tied for 5th; Pneumonitis and Unintentional injuries tied for 9th; and Septicemia
and Hypertension tied for 9th.
2For American Indian women, Nephritis and Unintentional injuries tied for 9th; Septicemia and Parkinson's disease tied for 11th; and Atherosclerosis and Pneumonitis
tied for 14th.
NOTE: See Appendix B for the definition of race and Hispanic origin in the National Vital Statistics System.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 15
Mortality continued
Table 15c. Leading causes of death among people age 85 and over, by sex and race and Hispanic origin, 2006
(continued)
All races
White
Black
Asian or Pacific
Islander
American
Indian
Hispanic
Women
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Alzheimer's
disease
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Diabetes mellitus
Nephritis
Unintentional
injuries
Hypertension
Septicemia
Pneumonitis
Parkinson's
disease
Atherosclerosis
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Alzheimer's
disease
Chronic lower
respiratory
diseases
Influenza and
pneumonia
Unintentional
injuries
Diabetes mellitus
Nephritis
Hypertension
Septicemia
Pneumonitis
Parkinson's
disease
Atherosclerosis
Benign
neoplasms
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Alzheimer's
disease
Diabetes mellitus
Nephritis
Influenza and
pneumonia
Hypertension
Septicemia
Chronic lower
respiratory
diseases
Unintentional
injuries
Pneumonitis
Atherosclerosis
Benign
neoplasms
Aortic aneurysm
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Influenza and
pneumonia
Alzheimer's
disease
Diabetes mellitus
Chronic lower
respiratory
diseases
Hypertension
Nephritis
Unintentional
injuries
Septicemia
Parkinson's
disease
Pneumonitis
Benign
neoplasms
Aortic aneurysm
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Diabetes mellitus
Alzheimer's
disease
Influenza and
pneumonia
Chronic lower
respiratory
diseases
Hypertension
2Nephritis
Unintentional
injuries
2Septicemia
2Parkinson's
disease
Benign
neoplasms
Atherosclerosis
2Pneumonitis
Diseases of heart
Malignant
neoplasms
Cerebrovascular
diseases
Alzheimer's
disease
Influenza and
pneumonia
Diabetes mellitus
Chronic lower
respiratory
diseases
Nephritis
Hypertension
Unintentional
injuries
Septicemia
Pneumonitis
Parkinson's
disease
Atherosclerosis
Benign
neoplasms
'For American Indian men, Alzheimer's disease and Chronic lower respiratory disease tied for 5th; Pneumonitis and Unintentional injuries tied for 9th; and Septicemia
and Hypertension tied for 9th.
2For American Indian women, Nephritis and Unintentional injuries tied for 9th; Septicemia and Parkinson's disease tied for 11th; and Atherosclerosis and Pneumonitis
tied for 14th.
NOTE: See Appendix B for the definition of race and Hispanic origin in the National Vital Statistics System.
Reference population: These data refer to the resident population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System.
-------
INDICATOR 16
Chronic Health Conditions
Table 16a. Percentage of people age 65 and over who reported having selected chronic health conditions, by sex,
2007-2008
dSase Hypertension
Stroke
Asthma
Chronic
bronchitis or
Emphysema
Any
cancer
Diabetes
Arthritis
Percent
Total
Men
Women
Non-Hispanic
White
Non-Hispanic
Black
Hispanic
31.9
38.2
27.1
33.7
27.2
23.8
55.7
53.1
57.6
54.3
71.1
53.1
8.8
8.7
8.9
8.7
10.8
7.7
10.4
8.9
11.5
10.2
11.3
10.9
9.0
8.6
9.2
9.7
5.9
6.2
22.5
23.9
21.4
24.8
13.3
12.4
18.6
19.5
17.9
16.4
29.7
27.3
49.5
42.2
54.9
50.6
52.2
42.1
NOTE: Data are based on a 2-year average from 2007-2008. See Appendix B for the definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
Table 16b. Percentage of people age 65 and over who reported having selected chronic health conditions, 1997-2008
1 997-1 998
1 999-2000
2001-2002
2003-2004
2005-2006
2007-2008
dSase
32.3
29.8
31.5
31.8
30.9
31.9
Hypertension
46.5
47.4
50.2
51.9
53.3
55.7
Stroke
8.2
8.2
8.9
9.3
9.3
8.8
Emphysema
5.2
5.2
5.0
5.2
5.7
5.1
Asthma
Percent
7.7
7.4
8.3
8.9
10.6
10.4
Chronic
bronchitis
6.4
6.2
6.1
6.0
6.1
5.4
cancer
18.7
19.9
20.8
20.7
21.1
22.5
Diabetes
13.0
13.7
15.4
16.9
18.0
18.6
Arthritis
na
na
na
50.0
49.5
49.5
na: Comparable data for arthritis not available prior to 2003-2004.
NOTE: Data are based on 2-year averages.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 17
Sensory Impairments and Oral Health
Table 17a. Percentage of people age 65 and over who reported having any trouble hearing, trouble seeing, or
no natural teeth, by selected characteristics, 2008
Sex
Age and
poverty status
Any trouble hearing
Any trouble seeing
No natural teeth
Percent
Both sexes
Men
Women
65 and over
65-74
75-84
85 and over
Below poverty
Above poverty
65 and over
65-74
75-84
85 and over
65 and over
65-74
75-84
85 and over
34.8
27.8
36.6
60.1
28.2
35.5
41.5
36.0
43.7
66.7
29.6
20.7
31.7
56.6
17.5
14.3
18.6
28.4
23.8
17.0
14.9
11.3
17.2
28.5
19.4
16.9
19.5
28.4
25.6
20.4
30.7
33.9
41.8
23.4
24.3
19.2
30.7
33.0
26.6
21.4
30.8
34.4
NOTE: Respondents were asked "WITHOUT the use of hearing aids or other listening devices, is your hearing excellent, good, a little trouble hearing,
moderate trouble, a lot of trouble, or are you deaf?" For the purposes of this indicator, the category "Any trouble hearing" includes: "a little trouble hearing,
moderate trouble, a lot of trouble, and deaf." This question differs slightly from the question used to calculate the estimates shown in previous editions
of Older Americans. Regarding their vision, respondents were asked "Do you have any trouble seeing, even when wearing glasses or contact lenses?"
and the category "Any trouble seeing" includes those who in a subsequent question report themselves as blind. Lastly, respondents were asked in one
question, "Have you lost all of your upper and lower natural (permanent) teeth?"
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
Table 17b. Percentage of people age 65 and over who reported ever having worn a hearing aid, 2008
Age group
Both sexes
Men
Women
65 and over
65-74
75-84
85 and over
13.8
8.4
14.9
34.2
Percent
17.8
12.1
21.0
40.6
10.7
5.1
10.7
30.8
NOTE: Respondents were asked "Do you now use a hearing aid(s)?" For those who responded no, they were also asked "Have you ever used
a hearing aid(s) in the past?" Estimates in past editions of Older Americans were based on the answer to a single question of having ever worn
a hearing aid.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 18
Respondent-Assessed Health Status
Table 18. Respondent-assessed health status among people age 65 and over, by selected characteristics, 2006-2008
Not Hispanic or Latino
Selected
characteristic
Fair or poor health
Both sexes
65 and over
65-74
75-84
85 and over
Men
65 and over
65-74
75-84
85 and over
Women
65 and over
65-74
75-84
85 and over
Good to excellent health
Both sexes
65 and over
65-74
75-84
85 and over
Men
65 and over
65-74
75-84
85 and over
Women
65 and over
65-74
75-84
85 and over
Total
25.5
22.4
27.5
33.7
25.3
22.4
27.5
35.1
25.7
22.3
27.6
32.9
74.5
77.6
72.5
66.4
74.8
77.6
72.5
64.9
74.4
77.7
72.5
67.1
White only
23.3
19.9
25.2
32.1
23.6
20.4
25.9
33.7
23.1
19.5
24.7
31.3
76.7
80.1
74.8
67.9
76.4
79.6
74.1
66.3
76.9
80.5
75.3
68.7
Black only
Percent
37.6
34.0
41.5
46.3
34.8
32.5
38.4
42.0
39.3
35.2
43.1
47.9
62.5
66.0
58.5
53.7
65.2
67.5
61.6
58.0
60.7
64.8
56.9
52.1
Hispanic or Latino
(of any race)
36.6
33.7
40.0
46.0
35.3
32.9
37.9
46.9
37.5
34.4
41.3
45.5
63.4
66.3
60.1
54.0
64.8
67.2
62.1
53.1
62.5
65.6
58.7
54.5
NOTE: Data are based on a 3-year average from 2006-2008. See Appendix B for the definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
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INDICATOR 19
Depressive Symptoms
Table 19a. Percentage of people age 65 and over with clinically relevant depressive symptoms, by sex, selected
years 1998-2006
7998
2000
2002
2004
2006
Both sexes
Men
Women
15.9
11.9
18.6
15.6
11.4
18.5
15.4
11.5
18.0
14.4
11.0
16.8
14.6
10.1
17.9
NOTE: The definition of "clinically relevant depressive symptoms" is four or more symptoms out of a list of eight depressive symptoms from an abbreviated version of
the Center of Epidemiological Studies Depression Scale (CES-D) adapted by the Health and Retirement Study (MRS). The CES-D scale is a measure of depressive
symptoms and is not to be used as a diagnosis of clinical depression. A detailed explanation concerning the "four or more symptoms" cut-off can be found in the
following documentation, http //hrsonline.isr umich.edu/docs/userg/dr-005.pdf. Proportions are based on weighted data using the preliminary respondent weight from
MRS 2006.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Health and Retirement Study.
Table 19b. Percentage of people age 65 and over with clinically relevant depressive symptoms, by age group and
sex, 2006
Both sexes
Men
Women
65 and over
65-69
70-74
75-79
80-84
14.6
13.9
12.9
16.0
14.3
10.1
9.7
8.0
9.7
10.3
17.9
16.7
16.9
20.2
17.0
85 and over
18.8
17.8
19.2
NOTE: The definition of "clinically relevant depressive symptoms" is four or more symptoms out of a list of eight depressive symptoms from an abbreviated version of
the Center of Epidemiological Studies Depression Scale (CES-D) adapted by the Health and Retirement Study (HRS). The CES-D scale is a measure of depressive
symptoms and is not to be used as a diagnosis of clinical depression. A detailed explanation concerning the "four or more symptoms" cut-off can be found in the
following documentation, http //hrsonline.isr umich.edu/docs/userg/dr-005.pdf. Proportions are based on weighted data using the preliminary respondent weight from
HRS 2006.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Health and Retirement Study.
-------
INDICATOR 20
Functional Limitations
Table 20a. Percentage of Medicare enrollees age 65 and over who have limitations in activities
of daily living (ADLs) or instrumental activities of daily living (lADLs), or who are in a facility,
selected years 1992-2007
lADLsonly
1 to 2 ADLs
3 to 4 ADLs
5 to 6 ADLs
Facility
Total
7992
13.7
19.6
6.1
3.5
5.9
48.8
7997
12.7
16.6
4.9
3.2
5.1
42.5
2007
13.4
17.2
5.3
3.0
4.8
43.7
2005
12.3
18.3
4.7
2.5
4.3
42.1
2007
13.8
17.7
4.5
2.3
3.9
42.2
NOTE: A residence is considered a long-term care facility if it is certified by Medicare or Medicaid; has three or more beds and is licensed as a nursing home or
other long-term care facility and provides at least one personal care service; or provides 24-hour, seven-day-a-week supervision by a caregiver. ADL limitations refer
to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: bathing, dressing, eating, getting in/out of chairs, walking, or
using the toilet. IADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using the telephone, light
housework, heavy housework, meal preparation, shopping, or managing money. Rates are age adjusted using the 2000 standard population. Data for 1992, 2001,
and 2007 do not sum to the totals because of rounding.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 20b. Percentage of Medicare enrollees age 65 and over who have limitations in activities of daily living (ADLs)
or instrumental activities of daily living (lADLs), or who are in a facility, by sex, 2007
lADLsonly
1 to 2 ADLs
3 to 4 ADLs
5 to 6 ADLs
Facility
Total
Both Sexes
13.8
17.7
4.5
2.3
3.9
42.2
Men
10.9
16.3
3.5
2.0
2.5
35.2
Women
16.1
18.8
5.3
2.4
4.7
47.3
NOTE: A residence is considered a long-term care facility if it is certified by Medicare or Medicaid; has 3 or more beds and is licensed as a nursing home or other
long-term care facility and provides at least one personal care service; or provides 24-hour, seven-day-a-week supervision by a caregiver. ADL limitations refer
to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: bathing, dressing, eating, getting in/out of chairs, walking, or
using the toilet. IADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using the telephone, light
housework, heavy housework, meal preparation, shopping, or managing money. Rates are age adjusted using the 2000 standard population. Data may not sum to
the totals because of rounding.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
-------
INDICATOR 20
Functional Limitations continued
Table 20c. Percentage of Medicare enrollees age 65 and over who are unable to perform certain physical functions,
by sex, 1991 and 2007
Function
1991
2007
Men
Stoop/kneel
Reach over head
Write/grasp small objects
Walk 2-3 blocks
Lift 10 bs.
Any of these five
Women
7.8
3.1
2.3
14.0
9.2
18.9
NOTE: Rates for 1991 are age adjusted to the 2007 population.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Percent
10.1
3.0
1.3
14.3
7.0
19.3
Stoop/kneel
Reach over head
Write/grasp small objects
Walk 2-3 blocks
Lift 1 0 bs.
Any of these five
15.3
6.3
2.6
23.2
18.4
32.2
18.7
4.8
2.0
23.4
15.2
32.4
Table 20d. Percentage of Medicare enrollees age 65 and over who are unable to perform any one of five physical
functions, by selected characteristics, 2007
Selected characteristic
Age
65-74
75-84
85 and over
Race
White, not Hispanic or Latino
Black, not Hispanic or Latino
Hispanic or Latino (any race)
Men
13.0
23.1
40.4
18.9
25.6
20.0
Women
Percent
21.8
35.1
55.9
31.9
35.4
33.3
NOTE: The five physical functions include stooping kneeling, reaching over the head, writing/grasping small objects, walking 2-3 blocks, and lifting 10 Ibs.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
-------
INDICATOR 21
Vaccinations
Table 21a. Percentage of people age 65 and over who reported having been vaccinated against influenza and
pneumococcal disease, by race and Hispanic origin, selected years 1989-2008
Influenza
Not Hispanic or Latino
Year
1989
1991
1993
1994
1995
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
White
32.0
42.8
53.1
56.9
60.0
65.8
65.6
67.9
66.6
65.4
68.7
68.6
67.3
63.2
67.3
69.3
69.9
Black
17.7
26.5
31.1
37.7
39.5
44.6
45.9
49.7
47.9
47.9
49.5
47.8
45.7
39.6
47.1
55.7
50.4
Pneumococcal disease
Hispanic or Latino
(of any race)
23.8
33.2
46.2
36.6
49.5
52.7
50.3
55.1
55.7
51.9
48.5
45.4
54.6
41.7
44.9
52.2
54.9
Not Hispanic or Latino Hispa
/_*
White
15.0
21.0
28.7
30.5
34.2
45.6
49.5
53.1
56.8
57.8
60.3
59.6
60.9
60.6
62.0
62.2
64.3
iui
Black
6.20
13.2
13.1
13.9
20.5
22.2
26.0
32.3
30.5
33.9
36.9
37.0
38.6
40.4
35.6
44.1
44.5
nic or Latino
any race)
9.80
11.0
12.2
13.7
21.6
23.5
22.8
27.9
30.4
32.9
27.1
31.0
33.7
27.5
33.4
31.8
36.4
NOTE: For influenza, the percentage vaccinated consists of people who reported having a flu shot during the past 12 months and does not include receipt of nasal
spray flu vaccinations. For pneumococcal disease, the percentage refers to people who reported ever having a pneumonia vaccination. See Appendix B for the
definition of race and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
Table 21 b. Percentage of people age 65 and over who reported having been vaccinated against influenza and
pneumococcal disease, by selected characteristics, 2008
Selected characteristic
Both sexes
Men
Women
65-74
75-84
85 and over
High school graduate or less
More than high school
Influenza
67.1
65.8
68.1
60.8
72.7
79.1
66.5
68.0
Pneumococcal disease
Percent
60.0
56.4
62.8
52.5
68.6
69.0
58.1
62.9
NOTE: For influenza, the percentage vaccinated consists of people who reported having a flu shot during the past 12 months and does not include receipt of nasal
spray flu vaccinations. For pneumococcal disease, the percentage refers to people who reported ever having a pneumonia vaccination.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
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INDICATOR 22
Mammography
Table 22. Percentage of women who reported having had a mammogram within the past 2 years, by selected
characteristics, selected years 1987-2008
Age Groups
40-49
50-64
65 and over
65-74
75 and over
7987
31.9
31.7
22.8
26.6
17.3
7990
55.1
56.0
43.4
48.7
35.8
1991
55.6
60.3
48.1
55.7
37.8
7993
59.9
65.1
54.2
64.2
41.0
Race and Hispanic Origin
White, not
Hispanic or
Latino
Black, not
Hispanic or
Latino
Hispanic or
Latino
Poverty
Poor
Near poor
Nonpoor
Education
No high
school
diploma or
GED
High school
diploma or
GED
Some college
or more
24.0
14.1
*
13.1
19.9
29.7
16.5
25.9
32.3
43.8
39.7
41.1
30.8
38.6
51.5
33.0
47.5
56.7
49.1
41.6
40.9
35.2
41.8
57.8
37.7
54.0
57.9
54.7
56.3
35.7
40.4
47.6
63.5
44.2
57.4
64.8
7994
Women
61.3
66.5
55.0
63.0
44.6
7998
7999
2000
2003
2005
2008
age 40 and over
63.4
73.7
63.8
69.4
57.2
Women 65 and
54.9
61.0
48.0
43.9
48.8
64.0
45.6
59.1
64.3
64.3
60.6
59.0
51.9
57.8
70.1
54.7
66.8
71.3
67.2
76.5
66.8
73.9
58.9
over
66.8
68.1
67.2
57.6
60.2
72.5
56.6
68.4
77.1
64.3
78.7
67.9
74.0
61.3
68.3
65.5
68.3
54.8
60.3
75.0
57.4
71.8
74.1
64.4
76.2
67.7
74.6
60.6
68.1
65.4
69.5
57.0
62.8
72.6
56.9
69.7
75.1
63.5
71.8
63.8
72.5
54.7
64.7
60.5
63.8
52.3
56.1
70.1
50.7
64.3
73.0
61.5
74.2
65.5
72.6
57.9
66.1
66.4
59.0
49.1
59.4
70.5
49.2
65.7
75.6
* Estimates are considered unreliable.
NOTE: Questions concerning use of mammography differed slightly on the National Health Interview Survey across the years for which data are shown. For details,
see Health, United States 2009, Appendix II.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 23
Diet Quality
Table 23. Average dietary component scores as a percent of federal diet quality standards,3 population age 65 and
older, by age group, 2003-2004
Dietary Components
Total Healthy Eating lndex-2005 score
Dietary Adequacy Components"
Total Fruit
Whole Fruit
Total Vegetables
Dark Green and Orange Vegetables
and Legumes
Total Grains
Whole Grains
Milk
Meat and Beans
Oils
Dietary Moderation Components'"
Saturated Fat
Sodium
Extra Calories0
65 and older
65
86
100
82
34
100
32
56
100
76
62
34
55
Age group (Years)
65-74
63
76
100
84
30
100
28
52
100
75
60
32
51
75 and older
67
100
100
80
38
100
34
62
100
77
64
38
62
3Higher scores reflect higher intakes
^Higher scores reflect lower intakes.
cExtra calories from other sources, such as solid fats, added sugars, and alcohol.
NOTE: The Healthy Eating lndex-2005 (HEI-2005) comprises 12 components. Scores are averages across all adults and reflect long-term dietary intakes. The scores are
expressed here as percentages of recommended dietary intake levels. A score corresponding to 100 percent indicates that the recommendation was met or exceeded,
on average. A score below 100 percent indicates that average intake does not meet recommendations. Nine components of the HEI-2005 address nutrient adequacy.
The remaining three components assess saturated fat, sodium, and calories from solid fats, alcoholic beverages, and added sugars, all of which should be consumed
in moderation. For the adequacy components, higher scores reflect higher intakes; for the moderation components, higher scores reflect lower intakes because lower
intakes are more desirable. For all components, a higher percentage indicates a higher-quality diet.
Reference population: These data refer to the resident noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health and Nutrition Examination Survey, 2003-2004 and U.S.
Department of Agriculture, Center for Nutrition Policy and Promotion, Healthy Eating lndex-2005.
-------
INDICATOR 24
Physical Activity
Table 24a. Percentage of people age 45 and over who reported engaging in regular leisure time physical activity, by
age group, 1997-2008
65 and over
45-64
65-74
75-84
85 and over
Percent
1997-1998
1 999-2000
2001-2002
2003-2004
2005-2006
2007-2008
20.7
21.3
21.6
22.5
21.6
22.1
29.1
28.9
30.1
30.5
29.3
30.9
24.9
26.1
26.5
27.5
25.7
25.4
17.0
17.3
17.9
19.4
19.5
20.6
9.0
9.6
8.5
8.4
9.6
11.0
NOTE: Data are based on 2-year averages. "Regular leisure time physical activity" is defined as "engaging in light-moderate leisure time physical activity for greater
than or equal to 30 minutes at a frequency greater than or equal to five times per week, or engaging in vigorous leisure time physical activity for greater than or equal
to 20 minutes at a frequency greater than or equal to three times per week."
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
Table 24b. Percentage of people age 65 and over who reported engaging in regular leisure time physical activity, by
selected characteristics, 2007-2008
Total
Men
Women
Percent
All
White, not Hispanic or
Latino
Black, not Hispanic or
Latino
Hispanic or Latino
Percent who engage in
strengthening exercises
21.8
22.8
12.5
21.0
14.3
26.9
27.6
17.4
28.3
16.4
18.0
19.1
9.5
15.9
12.8
NOTE: Data are based on a 2-year average from 2007-2008."Regular leisure time physical activity" is defined as "engaging in light-moderate leisure time physical
activity for greater than or equal to 30 minutes at a frequency greater than or equal to 5 times per week, or engaging in vigorous leisure time physical activity for
greater than or equal to 20 minutes at a frequency greater than or equal to three times per week."
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 25
Obesity
Table 25. Body weight status among persons 65 years of age and over, by sex and age group, selected years
1976-2008
Sex and age group
Overweight
Both sexes
65 and over
65-74
75 and over
Men
65 and over
65-74
75 and over
Women
65 and over
65-74
75 and over
Obese
Both sexes
65 and over
65-74
75 and over
Men
65 and over
65-74
75 and over
Women
65 and over
65-74
75 and over
1976-1980
na
57.2
na
na
54.2
na
na
59.5
na
na
17.9
na
na
13.2
na
na
21.5
na
1988-1994
60.1
64.1
53.9
64.4
68.5
56.5
56.9
60.3
52.3
22.2
25.6
17.0
20.3
24.1
13.2
23.6
26.9
19.2
1999-2000
69.0
73.5
62.3
73.3
77.2
66.4
65.6
70.1
59.6
31.0
36.3
23.2
28.7
33.4
20.4
32.9
38.8
25.1
2001-2002
Percent
69.1
73.1
63.5
73.1
75.4
69.2
66.3
71.3
60.1
29.2
35.9
19.8
25.3
30.8
16.0
32.1
40.1
22.1
2003-2004
70.5
74.0
65.9
72.1
76.6
65.2
69.2
71.7
66.4
29.7
34.6
23.5
28.9
33.0
22.7
30.4
36.1
24.1
2005-2006
68.6
73.8
61.8
73.9
79.5
66.3
64.6
69.4
58.7
30.5
35.0
24.7
29.7
32.9
25.3
31.1
36.7
24.4
2007-2008
71.2
73.7
68.3
77.1
78.8
75.0
66.8
69.8
63.7
32.2
36.9
26.7
33.7
39.9
25.9
31.1
34.6
27.3
na: Data not available.
NOTE: Data are based on measured height and weight. Height was measured without shoes. Overweight is defined as having a body mass index (BMI) greater than
or equal to 25 kilograms/meter2. Obese is defined by a BMI of 30 kilograms/meter2 or greater. The percentage of people who are obese is a subset of the percentage
of those who are overweight. See Appendix C for the definition of BMI.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health and Nutrition Examination Survey.
-------
INDICATOR 26
Cigarette Smoking
Table 26a. Percentage of men age 45 and over who are current cigarette smokers, by selected characteristics,
selected years 1965-2008
Total
Year
Men
1965
1974
1979
1983
1985
1987
1988
1990
1991
1992
1993
1994
1995
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
45-64
51.9
42.6
39.3
35.9
33.4
33.5
31.3
29.3
29.3
28.6
29.2
28.3
27.1
27.6
27.7
25.8
26.4
26.4
24.5
23.9
25.0
25.2
24.5
22.6
24.8
65 and over
28.5
24.8
20.9
22.0
19.6
17.2
18.0
14.6
15.1
16.1
13.5
13.2
14.9
12.8
10.4
10.5
10.2
11.5
10.1
10.1
9.8
8.9
12.6
9.3
10.5
45-64
51.3
41.2
38.3
35.0
32.1
32.4
30.0
28.7
28.0
28.1
27.8
26.9
26.3
26.5
27.0
24.5
25.8
25.1
24.4
23.3
24.4
24.5
23.4
22.1
24.0
White
65 and over
Percent
27.7
24.3
20.5
20.6
18.9
16.0
16.9
13.7
14.2
14.9
12.5
11.9
14.1
11.5
10.0
10.0
9.8
10.7
9.3
9.6
9.4
7.9
12.6
8.9
9.9
Black or African American
45-64
57.9
57.8
50.0
44.8
46.1
44.3
43.2
36.7
42.0
35.4
42.4
41.2
33.9
39.4
37.3
35.7
32.2
34.3
29.8
30.1
29.2
32.4
32.6
28.4
33.6
65 and over
36.4
29.7
26.2
38.9
27.7
30.3
29.8
21.5
24.3
28.3
*27.9
25.6
28.5
26.0
16.3
17.3
14.2
21.1
19.4
18.0
14.1
16.8
16.0
14.3
17.5
*Estimates are considered unreliable. Data preceded by an asterisk have a relative standard error of 20-30 percent.
NOTE: Data starting in 1997 are not strictly comparable with data for earlier years due to the 1997 NHIS questionnaire redesign. Starting with 1993 data, current
cigarette smokers were defined as ever smoking 100 cigarettes in their lifetime and smoking now on every day or some days. See Appendix B for the definiton of race
and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 26
Cigarette Smoking continued
Table 26b. Percentage of women age 45 and over who are current cigarette smokers, by selected characteristics,
selected years 1965-2008
Total
Year
Women
1965
1974
1979
1983
1985
1987
1988
1990
1991
1992
1993
1994
1995
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
45-64
32.0
33.4
30.7
31.0
29.9
28.6
27.7
24.8
24.6
26.1
23.0
22.8
24.0
21.5
22.5
21.0
21.7
21.4
21.1
20.2
19.8
18.8
19.3
20.0
20.5
65 and over
9.6
12.0
13.2
13.1
13.5
13.7
12.8
11.5
12.0
12.4
10.5
11.1
11.5
11.5
11.2
10.7
9.3
T9.1
8.6
8.3
8.1
8.3
8.3
7.6
8.3
White
45-64
32.7
33.0
30.6
30.6
29.7
29.0
27.7
25.4
25.3
25.8
23.4
23.2
24.3
20.9
22.5
21.2
21.4
21.6
21.5
20.1
20.1
18.9
18.8
20.0
20.9
65 and over
9.8
12.3
13.8
13.2
13.3
13.9
12.6
11.5
12.1
12.6
10.5
11.1
11.7
11.7
11.2
10.5
9.1
9.4
8.5
8.4
8.2
8.4
8.4
8.0
8.6
Black or African American
45-64
25.7
38.9
34.2
36.3
33.4
28.4
29.5
22.6
23.4
30.9
21.3
23.5
27.5
28.4
25.4
22.3
25.6
22.6
22.2
23.3
20.9
21.0
25.5
22.6
21.3
65 and over
7.1
*8.9
*8.5
*13.1
14.5
11.7
14.8
11.1
9.6
*11.1
*10.2
13.6
13.3
10.7
11.5
13.5
10.2
9.3
9.4
8.0
6.7
10.0
9.3
6.4
8.1
*Estimates are considered unreliable. Data preceded by an asterisk have a relative standard error of 20-30 percent.
fine value for all women includes other races which have a very low rate of cigarette smoking. Thus, the weighted average for all women is slightly lower than that for
white women.
NOTE: Data starting in 1997 are not strictly comparable with data for earlier years due to the 1997 NHIS questionnaire redesign. Starting with 1993 data, current
cigarette smokers were defined as ever smoking 100 cigarettes in their lifetime and smoking now on every day or some days. See Appendix B for the definiton of race
and Hispanic origin in the National Health Interview Survey.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 26
Cigarette Smoking continued
Table 26c. Cigarette smoking status of people age 18 and over, by sex and age group, 2008
Sex and
age group
Both sexes
Men
18-44
45-64
65 and over
Women
18-44
45-64
65 and over
All current
smokers
20.6
25.6
24.8
10.5
20.6
20.5
8.3
Every day
smokers
16.5
18.9
20.2
8.9
16.8
17.4
6.5
Some day
smokers
Percent
4.2
6.7
4.6
1.6
3.8
3.1
1.8
Former smokers
21.6
13.0
28.5
54.6
11.9
22.4
30.7
Non-smokers
57.8
61.4
46.7
34.9
67.5
57.1
60.9
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
INDICATOR 27
Air Quality
Table 27a. Percentage of people age 65 and over living in counties with "poor air quality," 2000-2008
Pollutant
Measures
Particulate Matter
(PM 2.5)
8-hr Ozone
Any standard
2000
41.0
52.0
62.0
2001
39.0
55.0
62.0
2002
38.0
54.0
60.0
2003
Percent
33.0
54.0
59.0
2004
23.0
35.0
45.0
2005
35.0
52.0
58.0
2006
21.0
50.0
54.0
2007
24.0
48.0
53.0
2008
11.0
36.0
38.0
NOTE: The term "poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS). The term "any
standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead. In 2008, EPA strengthened the national
standard for 8-hour ozone to 0 075 ppm and the national standard for lead to 0.15 ug/m3. This figure includes people living in counties that monitored ozone and lead
concentrations above the new levels. This results in percentages that are not comparable to previous publications.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S., U.S. Census Bureau, Population
Projections, 2000-2008.
-------
INDICATOR 27
Air Quality continued
Table 27b. Counties with "poor air quality" for any standard in 2008
State
Alabama
Alabama
Alabama
Alabama
Alaska
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
Arizona
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
County
Jefferson County
Mobile County
P ke County
She by County
Fairbanks North Star
Borough
Cochise County
Gila County
La Paz County
Maricopa County
Final County
Santa Cruz County
Yuma County
Alameda County
Amador County
Butte County
Calaveras County
Contra Costa County
El Dorado County
Fresno County
Imperial County
Inyo County
Kern County
Kings County
Lake County
Los Angeles County
Madera County
Mariposa County
Merced County
Mono County
Nevada County
State
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
California
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Colorado
Connecticut
Connecticut
Connecticut
County
Orange County
Placer County
Plumas County
Riverside County
Sacramento County
San Benito County
San Bernardino County
San Diego County
San Joaquin County
San Luis Obispo County
Shasta County
Solano County
Stanislaus County
Sutler County
Tehama County
Trinity County
Tulare County
Tuolumne County
Ventura County
Yolo County
Adams County
Alamosa County
Boulder County
Douglas County
Jefferson County
Larimer County
Prowers County
Fairfield County
Hartford County
Litchfield County
NOTE: The term "poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS). The term "any
standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S. Census Bureau, Population Projections,
2000-2008.
-------
INDICATOR 27
Air Quality continued
Table 27b. Counties with "poor air quality" for any standard in 2008 (continued)
State
Connecticut
Connecticut
Connecticut
Connecticut
Delaware
Delaware
Delaware
District of Columbia
Florida
Florida
Florida
Florida
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Georgia
Hawaii
Idaho
Idaho
Illinois
Indiana
Kentucky
Louisiana
Louisiana
Louisiana
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
Maryland
County
Middlesex County
New Haven County
New London County
Tolland County
Kent County
New Castle County
Sussex County
District of Columbia
Hillsborough County
Pasco County
Santa Rosa County
Sarasota County
B bb County
Clarke County
DeKalb County
Dougherty County
Douglas County
Fayette County
Fulton County
Gwinnett County
Hall County
Henry County
Murray County
Richmond County
Rockdale County
Hawaii County
Power County
Shoshone County
Madison County
Delaware County
Oldham County
Iberville Parish
Pointe Coupee Parish
St. Tammany Parish
Anne Arundel County
Baltimore County
Calvert County
Carroll County
Cecil County
Charles County
Harford County
Kent County
Montgomery County
State
Maryland
Maryland
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Massachusetts
Michigan
Minnesota
Minnesota
Minnesota
Mississippi
Mississippi
Missouri
Missouri
Missouri
Missouri
Nevada
Nevada
Nevada
New Hampshire
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Jersey
New Mexico
New Mexico
New York
New York
New York
New York
New York
New York
County
Prince George's County
Baltimore city
Bristol County
Dukes County
Essex County
Hampden County
Hampshire County
Norfolk County
Worcester County
Wayne County
Dakota County
Ramsey County
Washington County
Harrison County
Jackson County
Iron County
Jefferson County
St. Charles County
St. Louis city
Clark County
Nye County
Washoe County
Hillsborough County
Bergen County
Camden County
Cumberland County
Gloucester County
Hudson County
Hunterdon County
Mercer County
Middlesex County
Monmouth County
Morris County
Ocean County
Passaic County
Dona Ana County
Luna County
Albany County
Bronx County
Chautauqua County
Dutchess County
Erie County
Monroe County
NOTE: The term "poor air quality" is defined as air quality concentrations abovi
standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide,
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Plannin;
2000-2008.
•e the level of the National Ambient Air Quality Standards (NAAQS). The term "any
sulfur dioxide, carbon monoxide, and lead.
g and Standards, Air Quality System; U.S. Census Bureau, Population Projections,
-------
INDICATOR 27
Air Quality continued
Table 27b. Counties with "poor air quality" for any standard in 2008 (continued)
State
New York
New York
New York
New York
New York
New York
New York
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
North Carolina
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
Ohio
County
New York County
Orange County
Putnam County
Queens County
Saratoga County
Suffolk County
Westchester County
Alexander County
Caswell County
Davie County
Durham County
Forsyth County
Franklin County
Graham County
Granville County
Guilford County
Haywood County
Johnston County
Lincoln County
Mecklenburg County
New Hanover County
Person County
Pitt County
Rockingham County
Rowan County
Union County
Wake County
Yancey County
Butler County
Clinton County
Cuyahoga County
Franklin County
Fulton County
Geauga County
Hamilton County
Lake County
Lawrence County
Montgomery County
Stark County
Summit County
Trumbull County
State
Ohio
Ohio
Oklahoma
Oklahoma
Oregon
Oregon
Oregon
Oregon
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Pennsylvania
Rhode Island
Rhode Island
South Carolina
South Carolina
South Carolina
South Carolina
South Carolina
Tennessee
Tennessee
Tennessee
County
Warren County
Washington County
Oklahoma County
Tulsa County
Harney County
Klamath County
Lake County
Lane County
Adams County
Allegheny County
Armstrong County
Beaver County
Berks County
Bucks County
Chester County
Clearfield County
Dauphin County
Delaware County
Indiana County
Lackawanna County
Lancaster County
Lehigh County
Lycoming County
Mercer County
Monroe County
Montgomery County
Northampton County
Perry County
Philadelphia County
Washington County
York County
Providence County
Washington County
Cherokee County
Darlington County
Pickens County
Richland County
Spartanburg County
Blount County
Hamilton County
Knox County
NOTE: The term "poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS). The term "any
standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S. Census Bureau, Population Projections,
2000-2008.
-------
INDICATOR 27
Air Quality continued
Table 27b. Counties with "poor air quality" for any standard in 2008 (continued)
State
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Tennessee
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Texas
Utah
Utah
Utah
Utah
Utah
Utah
County
Loudon County
Sevier County
Shelby County
Sullivan County
Sumner County
Wilson County
Bexar County
Brazoria County
Collin County
Dallas County
Denton County
El Paso County
Harris County
Jefferson County
Johnson County
Parker County
Tarrant County
Webb County
Box Elder County
Cache County
Davis County
Salt Lake County
Utah County
Weber County
State
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Virginia
Washington
Washington
Washington
West Virginia
West Virginia
West Virginia
Wisconsin
Wyoming
Wyoming
County
Arlington County
Caroline County
Charles City County
Chesterfield County
Fairfax County
Hanover County
Henrico County
Loudoun County
Madison County
Hampton city
Norfolk city
Suffolk city
Virginia Beach city
Pierce County
Stevens County
Yakima County
Brooke County
Hancock County
Kanawha County
Vilas County
Sublette County
Sweetwater County
NOTE: The term "poor air quality" is defined as air quality concentrations above the level of the National Ambient Air Quality Standards (NAAQS). The term "any
standard" refers to any NAAQS for ozone, particulate matter, nitrogen dioxide, sulfur dioxide, carbon monoxide, and lead.
Reference population: These data refer to the resident population.
SOURCE: U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Air Quality System; U.S. Census Bureau, Population Projections,
2000-2008.
-------
INDICATOR 28
Use of Time
Table 28a. Percentage of day that people age 55 and over spent doing selected activities on an average day, by age
group, 2008
55-64
65-74
Average P~rr~nf
Selected leisure activities hours nfriav
per day y
Sleeping
Leisure activities
Work and work-related activities
Household activities
Caring for and helping others
Eating and drinking
Purchasing goods and services
Grooming
Other activities
8.3
5.7
3.5
2.1
0.6
1.3
0.9
0.7
1.0
34.4
23.6
14.7
8.7
2.5
5.6
3.6
2.8
4.1
Average
hours
per day
8.8
7.1
1.2
2.3
0.4
1.5
0.9
0.6
1.2
Percent
of day
36.5
29.7
5.1
9.5
1.7
6.1
3.8
2.6
5.0
75 and over
Average
hours
per day
9.1
7.6
0.4
2.3
0.2
1.5
0.8
0.7
1.4
Percent
of day
38.1
31.7
1.5
9.7
0.9
6.3
3.1
2.8
5.6
NOTE: "Other activities" includes activities such as educational activities; organizational, civic and religious activities; and telephone calls.
Table includes people who did not work at all.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, American Time Use Survey.
Table 28b. Percentage of total leisure time that
average day, by age group, 2008
Selected leisure activities
Socializing and communicating
Watching TV
Participation in sports, exercise, and
recreation
Relaxing and thinking
Reading
Other leisure activities (including related
travel)
people age 55 and
55-64
Average p
per day '
0.7
3.3
0.2
0.3
0.5
0.6
over spent doing
selected
65-74
'ercent
if day
12.5
57.8
4.1
5.0
9.3
11.3
Average
hours
per day
0.7
4.0
0.3
0.4
0.8
0.8
Percent
of day
10.2
56.3
4.2
6.3
11.0
11.9
leisure activities on an
75 and over
Average
hours
per day
0.6
4.2
0.2
0.7
1.0
0.8
Percent
of day
8.3
55.2
2.3
9.7
13.7
10.9
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Bureau of Labor Statistics, American Time Use Survey.
-------
INDICATOR 29
Use of Health Care Services
Table 29a. Use of Medicare-covered health care services by Medicare enrollees age 65 and over, 1992-2007
Utilization Measure
y Hospital stays
Skilled nursing
facility stays
Physician visits
and consultations
Home health
care visits
Average length
of hospital stay
Rate per thousand enrollees
Days
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
306
300
331
336
341
351
354
365
361
364
361
359
353
350
343
336
28
33
43
50
59
67
69
67
67
69
72
74
75
79
80
81
1 1 ,359
1 1 ,600
12,045
12,372
12,478
na
13,061
na
13,346
13,685
13,863
13,519
13,776
13,914
na
na
3,822
4,648
6,352
7,608
8,376
8,227
5,058
3,708
2,913
2,295
2,358
2,440
2,594
2,770
3,072
3,409
8.4
8.0
7.5
7.0
6.6
6.3
6.1
6.0
6.0
5.9
5.9
5.8
5.7
5.7
5.6
5.6
na: Data not available.
NOTES: Data are for Medicare enrollees in fee-for-service only. Physician visits and consultations include all settings, such as physician offices, hospitals,
emergency rooms, and nursing homes. The definition of physician visits and consultations changed beginning in 2003, resulting in a slightly lower rate. Beginning in
1994, managed care enrollees were excluded from the denominator of all utilization rates because utilization data are not available for them. Prior to 1994, managed
care enrollees were included in the denominators; they comprised 7% or less of the Medicare population.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare claims and enrollment data.
Table 29b. Use of Medicare-covered home health and skilled nursing facility services by Medicare enrollees age 65
and over, by age group, 2007
Age
Utilization measure
65-74
75-84
85 and over
Skilled nursing facility stays
Home health care visits
32
1,713
Rate per 1,000 enrollees
94
4,156
227
7,333
NOTE: Data are for Medicare enrollees in fee-for-service only.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare claims and enrollment data.
-------
INDICATOR 30
Health Care Expenditures
Table 30a. Average annual health care costs for Medicare enrollees age 65 and over, in 2006 dollars, by age group,
1992-2006
Year
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
Total
$9,224
9,886
10,653
11,146
11,273
11,522
11,247
11,562
12,001
12,663
13,588
13,714
13,932
na
15,081
Age
65-74
Dollars
$6,864
7,171
7,871
8,111
8,160
8,140
7,869
8,778
8,937
9,628
10,473
10,385
10,356
na
11,287
75-84
$10,094
11,300
11,800
12,197
12,690
12,800
12,512
12,260
13,082
14,081
1 4,756
15,327
15,172
na
16,855
85 and over
$17,841
18,494
19,966
21 ,084
20,641
20,876
21,014
20,305
20,691
21,126
22,027
21 ,550
23,384
na
23,664
na: Data not available.
NOTES: Data include both out-of-pocket costs and costs covered by insurance. Dollars are inflation-adjusted to 2006 using the Consumer Price I
(Series CPI-U-RS).
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.
Table 30b. Major components of health care costs among Medicare enrollees age 65 and over, 1992 and 2006
7992
Cost component Average cost in dollars
Total
Inpatient hospital
Physician/outpatient
hospital
Nursing home/long-term
institution
Home health care
Prescription drugs
Other (short-term
institution/hospice/dental)
$6,551
2,107
2,071
1,325
244
522
282
Percent
100
32
32
20
4
8
4
2006
Average cost in dollars Percent
$15,081
3,695
5,246
2,034
442
2,351
1,313
100
25
35
13
3
16
9
NOTES: Data include both out-of-pocket costs and costs covered by insurance. Dollars are not inflation adjusted.
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.
-------
INDICATOR 30
Health Care Expenditures continued
Table 30c. Average annual health care costs among Medicare enrollees age 65 and over, by selected characteristics,
2006
Characteristics
Average cost in dollars
Total
Race and ethnicity
Non-Hispanic white
Non-Hispanic black
Hispanic
Other
Institutional status
Community
Institution
Annual income
< $10,000
$10,000-$20,000
$20,001-$30,000
$30,001 and over
Chronic conditions
0
1-2
3-4
5 and over
Veteran status (men only)
Yes
No
$15,081
$14,980
$18,098
$14,144
$13,350
$12,383
$57,022
$21,033
$16,674
$13,881
$12,440
$5,186
$9,971
$16,936
$25,132
$14,424
$15,114
NOTE: Data include both out-of-pocket costs and costs covered by insurance. See Appendix B for the definition of race and Hispanic origin in the Medicare Current
Beneficiary Survey. Chronic conditions include cancer (other than skin cancer), stroke, diabetes, heart disease, hypertension, arthritis, and respiratory conditions
(emphysema, asthma, chronic obstructive pulmonary disease). Annual income includes that of respondent and spouse.
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.
Table 30d. Major components of health care costs among Medicare enrollees age 65 and over, by age group, 2006
Age
Cost component
65-74
75-84
NOTE: Data include both out-of-pocket costs and costs covered by insurance.
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.
85 and over
Total
Inpatient hospital
Physician/outpatient hospital
Nursing home/long-term institution
Home health care
Prescription drugs
Other (short-term institution/hospice/
dental)
$11,287
2,763
4,738
547
216
2,370
654
Average cost in dollars
$16,855
4,403
6,051
1,969
479
2,508
1,446
$23,664
5,150
5,070
7,182
1,115
1,935
3,211
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INDICATOR 30
Health Care Expenditures continued
Table 30e. Percentage of noninstitutionalized Medicare enrollees age 65 and older who reported problems with
access to health care, 1992-2005
Reported problems 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005
Percent
obtaining care 3'1 2'6 2'6 2'6 2'3 2'4 2'4 2'8 2'9 2'8 2'5 2'3 2'3 2'5
caredtehj'cost 9'8
7'6 6'8 5'5 48 4A 47 4'8
5'3 5'3 4'8
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.1
1MCBS Project. (2008). Health and Health Care of the Medicare Population: Data from the 2005 Medicare Current Beneficiary Survey.
(Prepared under contract to the Centers for Medicare and Medicaid Services). Rockville, MD: Westat.
INDICATOR 31
Prescription Drugs
Table 31a. Average prescription drug costs and sources of payment among noninstitutionalized Medicare enrollees
age 65 and over, 1992-2004
7992 7993 7994 7995 7996 7997 7998 7999 2000 2007 2002 2003 2004
Average cost in dollars
Total $570 $756 $802 $841 $907 $991 $1,147 $1,284 $1,469 $1,647 $1,827 $1,963 $2,107
pocket
Private 145
Public
82
439
190
127
436
220
146
441 451
248 302
152
155
491
323
177
530 565 616 658 721 736 763
401 449 512 573 666 747 810
215
270
341
416
441
480
534
NOTE: Dollars have been inflation-adjusted to 2004 using the Consumer Price Index (Series CPI-U-RS). Reported costs have been adjusted by a factor of 1.205
to account for underreporting of prescription drug use. Public programs include Medicare, Medicaid, Department of Veterans Affairs, and other state and federal
programs. Data for 2005 and 2006 were not available in time to include in this report.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 31 b. Distribution of annual prescription drug costs among
noninstitutionalized Medicare enrollees age 65 and over, 2004
Cosf in dollars
Percent of enrollees
Total
$0
1-499
500-999
1,000-1,499
1,500-1,999
2,000-2,499
2,500 or more
100.0
7.8
20.0
16.3
12.8
11.0
8.2
23.9
NOTE: Reported costs have been adjusted by a factor of 1 205 to account for underreporting of prescription drug
use. Data for 2005 and 2006 were not available in time to include in this report.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
-------
INDICATOR 31
Prescription Drugs continued
Table 31c. Number of Medicare enrollees age 65 and over who enrolled in Part D prescription drug plans or who
were covered by retiree drug subsidy payments, June 2006 and December 2009
Part D benefit categories
All Medicare enrollees age 65 or over
Enrollees in prescription drug plans
Type of plan
Stand-alone plan
Medicare Advantage plan
Low-income subsidy
Yes
No
Retiree drug subsidy
Other
June 2006
36,052,991
18,245,980
12,583,676
5,662,304
5,935,532
12,310,448
6,498,163
11,308,848
December 2009
38,909,142
22,183,470
13,530,371
8,653,099
6,086,550
16,096,920
6,187,111
10,538,561
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Management Information Integrated Repository.
Table 31d. Average prescription drug costs among noninstitutionalized Medicare enrollees age 65 and over, by
selected characteristics, 2000, 2002, and 2004
Characteristic
Number of chronic conditions
0
1-2
3-4
5 and over
Annual income
<$1 0,001
$10,001 -$20,000
$20,001 -$30,000
More than $30,000
2000
$551
1,153
2,030
2,772
1,383
1,402
1,571
1,520
2002
Average cost in dollars
$650
1,417
2,459
3,502
1,838
1,749
1,892
1,850
2004
$800
1,741
2,845
3,862
1,938
2,080
2,138
2,189
NOTE: Dollars have been inflation adjusted to 2004 using the Consumer Price Index (CPI-U-RS). Reported costs have been adjusted by a factor of 1.205 to account
for underreporting of prescription drug use. Chronic conditions include cancer (other than skin cancer), stroke, diabetes, heart disease, hypertension, arthritis, and
respiratory conditions (emphysema/asthma/chronic obstructive pulmonary disease). Annual income includes that of respondent and spouse. Data for 2005 and 2006
were not available in time to include in this report.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
-------
INDICATOR 32
Sources of Health Insurance
Table 32a. Percentage of noninstitutionalized Medicare enrollees age 65 and over with supplemental health
insurance, by type of insurance, 1991-2007
Types of supplemental insurance
Year
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
Private (employer or
union sponsored)
40.7
41.0
40.8
40.3
39.1
37.8
37.6
37.0
35.8
35.9
36.0
36.1
36.1
36.6
36.1
34.9
35.3
Private
(Medigap)*
44.8
45.0
45.3
45.2
44.3
38.6
35.8
33.9
33.2
33.5
34.5
37.5
34.3
33.7
34.6
32.5
31.5
HMO
Percent
6.3
5.9
7.7
9.1
10.9
13.8
16.6
18.6
20.5
20.4
18.0
15.5
14.8
15.6
15.5
20.7
21.8
Medicaid
8.9
9.0
9.4
9.9
10.1
9.5
9.4
9.6
9.7
9.9
10.6
10.7
11.6
11.3
11.8
11.9
11.9
Other public
4.0
5.3
5.8
5.5
5.0
4.8
4.7
4.8
5.1
4.9
5.4
5.5
5.7
5.2
5.6
4.3
4.0
No
supplement
11.3
10.4
9.7
9.3
9.1
9.4
9.2
8.9
9.0
9.7
10.1
12.3
11.8
12.6
12.0
12.5
13.3
* Includes people with private supplement of unknown sponsorship.
NOTE: HMOs include Health Maintenance Organizations (HMOs), Preferred Provider Organizations (PPOs), and private fee-for-service plans (PFFSs). Not all types
of plans were available in all years. Since 2003 these types of plans have been known collectively as Medicare Advantage. Estimates are based on enrollees'
insurance status in the fall of each year. Categories are not mutually exclusive (i.e., individuals may have more than one supplemental policy). Table excludes
enrollees whose primary insurance is not Medicare (approximately 1 to 2 percent of enrollees). Medicaid coverage was determined from both survey responses and
Medicare administrative records.
Reference population: These data refer to Medicare enrollees.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 32b. Percentage of people age 55-64 with health insurance coverage, by type of insurance and poverty
status, 2008
Type of Insurance
Private
Medicaid
Medicare
Other coverage
Uninsured
Total
73.6
6.6
4.3
3.7
11.8
99 percent or less
16.4
39.8
7.6
5.2
31.0
Poverty Threshold
100-199 percent
40.0
14.5
13.6
5.2
26.7
200 percent
85.3
1.8
2.4
3.3
7.2
NOTE: Poverty status is based on family income and family size using the U.S. Census Bureau's poverty thresholds. Below poverty (99 percent or less) is defined
as people living below the poverty threshold. People living above poverty are divided between those with incomes between 100-199 percent of the poverty
threshold and those with incomes of 200 percent or more of the poverty threshold. A multiple imputation procedure was performed for the missing family income
data (unknown poverty). A detailed description of the multiple imputation procedure is available from http://www.cdc.gov/nchs/nhis htm via the Imputed Income
Files link under data year 2006. Classification of health insurance is based on a hierarchy of mutually exclusive categories. Health insurance categories are
mutually exclusive. Persons who reported both Medicaid and private coverage are classified as having private coverage. Starting with 1997 data, state-sponsored
health plan coverage is included as Medicaid coverage. Starting with 1999 data, coverage by the Children's Health Insurance Program (CH P) is included with
Medicaid coverage. In addition to private and Medicaid, the Other Insurance category includes military and other government. Persons not covered by private
insurance, Medicaid, CHIP, state-sponsored or other government-sponsored health plans (starting in 1997), Medicare, or military plans are considered to have no
health insurance coverage. Persons with only Indian Health Service coverage are considered to have no health insurance coverage.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Centers for Disease Control and Prevention, National Center for Health Statistics, National Health Interview Survey.
-------
INDICATOR 33
Out-of-Pocket Health Care Expenditures
Table 33a. Percentage of people age 55 and over with out-of-pocket expenditures for health care service use, by age
group, 1977, 1987, 1996, 2000-2006
Age Group 1977
65 and D., ~
over 83'3
55-64 81 .9
55-61 81 .6
62-64 82.6
65-74 83.4
75-84 83.8
ove"^ 80'8
7987
88.6
84.0
83.9
84.3
87.9
90.0
88.6
7996
92.4
89.6
89.5
89.7
91.8
92.9
93.9
2000
93.6
90.2
89.4
92.4
93.3
93.5
95.2
2007
Percent
94.7
90.4
90.2
91.1
94.1
95.6
94.6
2002
94.4
90.9
90.7
91.3
94.4
94.6
93.8
NOTE: Out-of-pocket health care expenditures exclude personal spending for health insurance premiums.
comparability across years; for details, see Zuvekas and Cohen.51
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Agency for Healthcare Research and Quality, Medica
2003
94.7
90.4
89.6
92.7
93.7
95.7
95.8
2004
95.5
90.0
89.5
91.6
95.1
95.8
96.3
2005
95.0
90.5
89.6
93.3
94.2
96.1
95.1
2006
95.0
88.9
88.4
90.6
94.1
96.2
95.5
Data for the 1987 survey have been adjusted to permit
I Expenditure Panel Survey (MEPS) and MEPS predecessor surveys.
Table 33b. Out-of-pocket health care expenditures as a percentage of household income,
over, by selected characteristics, 1977, 1987, 1996, 2000-2006
Selected Characteristic
Total
65 and over
55-64
55-61
62-64
65-74
75-84
85 and over
Income Category
Poor/near poor
65 and over
55-64
55-61
62-64
65-74
75-84
85 and over
Low/middle/high
65 and over
55-64
55-61
62-64
65-74
75-84
85 and over
7977
7987
7996
2000
2007
2002
2003
among people age
2004
2005
55 and
2006
Percent
7.2
5.2
5.1
5.5
6.4
8.8
7.9
12.3
16.1
17.5
13.3
11.0
14.4
12.4
5.4
3.9
3.7
4.2
5.0
6.2
5.2
8.8
5.8
5.7
5.9
7.2
11.0
12.0
15.8
18.1
19.8
14.0
13.7
19.0
14.7
7.0
3.7
3.4
4.6
5.9
8.4
10.9
8.4
7.1
6.2
9.5
7.7
9.0
9.8
19.2
30.0
27.6
34.3
21.6
18.3
(B)
5.6
3.2
2.9
3.8
4.9
6.3
7.8
9.1
7.0
6.1
9.3
8.1
10.4
10.1
22.6
29.9
28.1
(B)
24.4
22.9
17.6
6.3
3.4
3.1
4.3
5.6
6.9
7.6
10.0
7.6
6.9
9.6
8.7
11.4
11.8
23.5
31.2
29.6
34.9
25.7
23.3
18.7
7.3
4.2
3.9
5.3
6.2
8.4
9.3
10.8
7.1
6.6
8.5
9.5
11.9
12.7
27.6
27.1
26.5
28.5
27.7
28.4
25.7
7.2
4.1
3.8
5.0
6.4
8.2
7.9
11.6
7.3
6.9
8.4
9.2
13.4
16.4
27.8
29.9
30.0
29.9
23.4
30.2
32.4
8.0
4.5
4.2
5.5
6.9
9.1
10.3
11.6
7.5
7.1
8.8
10.7
11.8
14.9
29.3
30.0
29.6
30.9
29.0
29.4
30.0
8.1
4.1
4.0
4.8
7.4
8.2
11.1
10,
7,
6,
8,
9
12,
13,
27,
27,
27,
27,
26
28,
28,
7,
.9
.1
.7
.2
.2
.5
.0
.6
.7
.9
.3
.2
.6
.6
.4
4.2
3
5
6,
8,
8,
.9
.3
.2
.8
.2
10.0
7.1
6.6
8.5
9.1
10.5
12.2
28.1
28.8
27.7
31.5
29.4
27.9
24.9
6.0
4.0
3.8
4.8
5.2
6.5
8.2
-------
INDICATOR 33
Out-of-Pocket Health Care Expenditures continued
Table 33b. Out-of-pocket health care expenditures as a percentage of household income, among people age 55 and
over, by selected characteristics, 1977,1987,1996, 2000-2006 (continued)
Selected Characteristic
Health Status Category
Poor or fair health
65 and over
55-64
55-61
62-64
65-74
75-84
85 and over
1977
9.5
8.7
8.8
8.6
8.7
11.3
8.9
7987
11.0
8.5
9.0
7.6
10.0
12.4
12.2
7996
11.7
13.0
11.8
15.9
10.7
11.8
(B)
2000
13.1
14.1
12.8
17.4
11.8
14.6
13.8
2007 2002
Percent
13.9
13.6
12.9
15.2
13.5
14.7
13.2
14.6
13.3
12.8
14.7
14.4
15.2
13.5
2003
16.0
13.3
12.4
15.9
13.8
17.5
19.5
2004
15.2
13.8
13.5
14.7
14.3
15.4
17.9
2005
15.5
12.7
11.8
15.3
14.3
17.1
14.5
2006
12.9
13.2
12.9
14.0
13.1
13.0
12.2
Excellent, very good, or good health
65 and over
55-64
55-61
62-64
65-74
75-84
85 and over
6.1
3.9
3.9
4.1
5.3
7.5
7.6
7.1
4.6
4.5
4.9
5.4
9.7
11.8
6.6
5.0
4.1
7.3
6.3
7.2
6.4
6.7
4.0
3.5
5.6
6.2
7.5
7.1
7.6
5.2
4.8
6.6
6.2
9.1
10.6
8.4
4.6
4.4
5.6
7.1
9.6
11.9
8.9
5.0
4.9
5.4
6.9
10.7
13.9
9.4
5.0
4.5
6.4
8.9
9.3
12.8
8.1
4.9
4.6
5.6
6.6
9.2
11.9
8.2
4.8
4.3
6.3
7.1
8.8
12.2
(B) Base is not large enough to produce reliable results.
NOTE: Out-of-pocket health care expenditures exclude personal spending for health insurance premiums. Including expenditures for out-of-pocket premiums in the
estimates of out-of-pocket spending would increase the percentage of household income spent on health care in all years. People are classified into the "poor/near
poor" income category if their household income is below 125 percent of the poverty level; otherwise, people are classified into the "low/middle/high" income category.
The poverty level is calculated according to the U.S. Census Bureau guidelines for the corresponding year. The ratio of a person's out-of-pocket expenditures to their
household income was calculated based on the person's per capita household income. For people whose ratio of out-of-pocket expenditures to income exceeded 100
percent, the ratio was capped at 100 percent. For people with out-of-pocket expenditures and with zero income (or negative income) the ratio was set at 100 percent.
For people with no out-of-pocket expenditures the ratio was set to zero. These methods differ from what was used in Older Americans 2004, which excluded persons
with no out-of-pocket expenditures from the calculations (17 percent of the population 65 and older in 1977, and 4.5 percent of the population age 65 and older in
2004). Data from the 1987 survey have been adjusted to permit comparability across years; for details see Zuvekas and Cohen.51
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Agency for Healthcare Research and Quality, Medical Expenditure Panel Survey (MEPS) and MEPS predecessor surveys.
-------
INDICATOR 33
Out-of-Pocket Health Care Expenditures continued
Table 33c. Distribution of total out-of-pocket health care expenditures among people age 55 and over, by type of
health care services and age group, 2000-2006
Type of health care service, by year
2000
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
2001
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
2002
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
2003
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
2004
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
65 and over
6.4
9.8
15.8
53.6
14.3
5.4
9.4
13.0
56.0
16.2
5.0
10.5
14.0
58.2
12.3
5.2
8.7
11.8
58.3
16.0
5.0
10.1
11.8
61.4
11.8
55-64
8.5
18.9
20.0
44.7
7.8
9.8
19.8
18.6
45.7
6.1
10.2
21.3
18.1
43.8
6.6
9.2
18.8
16.7
48.5
6.8
9.2
20.1
16.9
46.0
7.8
55-61
7.5
19.8
21.3
44.0
7.5
9.4
19.9
20.0
44.3
6.4
9.2
21.6
18.3
43.5
7.4
8.8
18.3
16.7
49.0
7.3
10.1
18.7
18.5
45.0
7.7
62-64
*11.0
16.7
17.0
46.5
8.7
10.7
19.7
15.2
48.9
5.5
13.1
20.3
17.7
44.7
4.3
10.1
19.9
16.9
47.5
5.6
6.9
23.6
12.8
48.7
8.1
65-74
7.3
11.6
17.5
57.1
6.6
5.2
10.5
15.6
57.2
11.5
4.6
12.3
17.6
57.9
7.7
5.9
9.4
14.5
61.3
8.9
5.1
12.4
13.2
61.9
7.4
75-84
4.6
9.0
15.9
51.5
19.0
5.8
9.6
11.9
58.9
13.8
5.5
9.3
12.3
56.6
16.3
4.5
9.1
9.5
54.5
22.4
4.5
9.2
12.0
64.8
9.5
85 and
over
8.6
6.0
9.6
48.0
27.9
*4.8
6.0
8.3
45.1
*35.8
5.1
7.8
6.2
65.5
15.4
5.1
5.4
9.5
59.8
20.2
*5.9
5.3
7.5
51.9
29.5
* Indicates the relative standard error is greater than 30 percent.
NOTE: Out-of-pocket health care expenditures exclude personal spending for health insurance premiums. Hospital care includes hospital inpatient care and care
provided in hospital outpatient departments and emergency rooms. Office-based medical provider services include services provided by medical providers in non-
hospital-based medical offices or clinic settings. Dental services include care provided by any type of dental provider. Prescription drugs include prescribed medications
purchased, including refills. Other health care includes care provided by home health agencies and independent home health providers and expenses for eyewear,
ambulance services, orthopedic items, hearing devices, prostheses, bathroom aids, medical equipment, disposable supplies, and other miscellaneous services. The
majority of expenditures in the "other" category are for home health services and eyeglasses. Figures might not sum to 100 percent because of rounding.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Agency for Healthcare Research and Quality, Medical Expenditure Panel Survey (MEPS).
-------
INDICATOR 33
Out-of-Pocket Health Care Expenditures continued
Table 33c. Distribution of total out-of-pocket health care expenditures among people age 55 and over, by type of
health care services and age group, 2000-2006 (continued)
Type of health care service, by year
2005
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
2006
Hospital care
Office-based medical provider services
Dental services
Prescription drugs
Other health care
65 and over
5.4
11.4
15.3
57.8
10.1
7.2
12.3
16.2
51.1
13.2
55-64
12.2
19.6
15.7
45.9
6.5
*17.7
19.8
13.9
43.2
5.5
55-61
12.8
19.6
16.3
44.7
6.7
9.4
20.9
15.4
48.5
5.8
62-64
10.8
19.9
14.3
49.0
6.1
*35.2
17.4
10.6
32.0
4.9
65-74
5.1
11.4
19.4
57.9
6.2
6.6
14.1
19.7
51.5
8.1
75-84
5.7
12.3
12.6
59.1
10.4
5.9
11.0
15.3
53.2
14.7
85 and
over
5.4
8.7
9.8
53.3
22.7
12.2
9.5
7.6
45.2
25.5
* Indicates the relative standard error is greater than 30 percent.
NOTE: Out-of-pocket health care expenditures exclude personal spending for health insurance premiums. Hospital care includes hospital inpatient care and care
provided in hospital outpatient departments and emergency rooms. Office-based medical provider services include services provided by medical providers in non-
hospital-based medical offices or clinic settings. Dental services include care provided by any type of dental provider. Prescription drugs include prescribed medications
purchased, including refills. Other health care includes care provided by home health agencies and independent home health providers and expenses for eyewear,
ambulance services, orthopedic items, hearing devices, prostheses, bathroom aids, medical equipment, disposable supplies, and other miscellaneous services. The
majority of expenditures in the "other" category are for home health services and eyeglasses. Figures might not sum to 100 percent because of rounding.
Reference population: These data refer to the civilian noninstitutionalized population.
SOURCE: Agency for Healthcare Research and Quality, Medical Expenditure Panel Survey (MEPS).
-------
INDICATOR 34
Sources of Payment for Health Care Services
Table 34a. Sources of payment for health care services for Medicare enrollees age 65 and over, by type of
service, 2006
Service
Hospice
Inpatient hospital
Home health care
Short-term institution
Physician/medical
Outpatient hospital
Prescription drugs
Dental
Long-term care facility
All
Average cost
Dollars
$239
3,695
442
728
3,956
1,290
2,351
346
2,034
15,081
Total
100
100
100
100
100
100
100
100
100
100
NOTE: OOP refers to out-of-pocket payments. "Other" refers to private insurance,
Reference population: These data refer to Medicare enrollees.
Medicare
100
86
91
78
61
68
26
1
1
55
Medicaid
Percent
0
1
1
3
2
2
2
1
47
7
Department of Veterans Affairs, and other publ
OOP
0
4
7
9
18
9
26
77
45
19
ic programs.
Other
0
8
1
10
19
21
45
21
7
19
SOURCE: Medicare Current Beneficiary Survey.
Table 34b. Sources of payment for health care
Income
All
< $10,000
$10,000-$20,000
$20,001 -$30,000
$30,001 and over
Average cost
Dollars
$15,081
21,033
16,674
13,881
1 2,440
services for Medicare enrollees age 65 and
Total
100
100
100
100
100
Medicare
55
56
57
57
51
Medicaid
Percent
7
21
8
3
1
over, by income,
OOP
19
13
19
21
23
2006
Other
19
10
17
20
25
NOTE: Income refers to annual income of respondent and spouse. OOP refers to out-of-pocket payments. "Other" refers to private insurance, Department of
Veterans Affairs, and other public programs.
Reference population: These data refer to Medicare enrollees.
SOURCE: Medicare Current Beneficiary Survey.
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INDICATOR 35
Veterans' Health Care
Table 35. Total number of veterans age 65 and over who are enrolled in or receiving health care from the Veterans
Health Administration, 1990-2008
Year
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
Total
7.9
8.3
8.7
9.0
9.2
9.4
9.7
9.8
9.9
10.0
10.0
9.9
9.8
9.7
9.5
9.3
9.2
9.3
9.2
VA enrollees
Number in millions
na
na
na
na
na
na
na
na
na
1.9
2.2
2.8
3.2
3.3
3.4
3.5
3.5
3.5
3.4
VA patients
0.9
0.9
1.0
1.0
1.0
1.1
1.1
1.1
1.3
1.4
1.6
1.9
2.2
2.3
2.4
2.4
2.4
2.4
2.2
na: Data not available.
NOTE: Department of Veterans Affairs (VA) enrollees are veterans who have signed up to receive health care from the Veterans Health Administration (VHA). VA
patients are veterans who have received care each year through VHA. The methods used to calculate VA patients differ from what was used in Older Americans 2004
and Older Americans Update 2006. Veterans who received care but were not enrolled in VA are now included in patient counts. VHA Vital Status files from the Social
Security Administration (SSA) are now used to ascertain veteran deaths.
Reference population: These data refer to the total veteran population, VHA enrollment population, and VHA patient population.
SOURCE: Department of Veterans Affairs, Veteran Population 2007; Fiscal 2009 Year-end Office of the Assistant Deputy Under Secretary for Health for Policy and
Planning Enrollment file linked with September 2009 VHA Vital Status data (including data from VHA, VA, Medicare, and SSA).
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INDICATOR 36
Residential Services
Table 36a. Percentage of Medicare enrollees age 65 and over residing in selected residential settings, by age group,
2007
Age
Residential setting
65 and over
65-74
75-84
85 and over
Number in thousands
All settings
34,207
16,867
12,429
4,912
Percent
Total
Traditional
community
Community housing
with services
Long term care
facilities
100.0
93.3
2.4
4.2
100.0
97.9
0.8
1.3
100.0
93.3
2.9
3.8
100.0
77.6
7.0
15.4
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing, continuing
care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and similar situations, AND who reported they had
access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry services; help with
medications. Respondents were asked about access to these services, but not whether they actually used the services. A residence (or unit) is considered a long-term
care facility if it is certified by Medicare or Medicaid or has three or more beds and is licensed as a nursing home or other long-term care facility and provides at least
one personal care service or provides 24-hour, seven-day-a-week supervision by a non-family, paid caregiver.
Reference population: These data refer to Medicare beneficiaries.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 36b. Percentage of Medicare enrollees age 65 and over with functional limitations, by residential setting, 2007
Functional status
Traditional community
Community housing
with services
Long-term care facility
Total 100.0
No functional limitations 60.0
IADL limitation only 14.6
1-2 ADL limitations 18.3
3 or more ADL limitations 7.1
Percent
100.0
35.6
18.4
31.7
14.2
100.0
5.0
11.6
16.4
67.0
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing, continuing
care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and similar situations, AND who reported they had
access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry services; help with
medications. Respondents were asked about access to these services, but not whether they actually used the services. A residence (or unit) is considered a long term
care facility if it is certified by Medicare or Medicaid; or has three or more beds and is licensed as a nursing home or other long term care facility and provides at least
one personal care service; or provides 24-hour, seven-day-a-week supervision by a non-family, paid caregiver. Instrumental activities of daily living (IADL) limitations
refer to difficulty performing (or inability to perform, for a health reason) one or more of the following tasks: using the telephone; light housework; heavy housework;
meal preparation; shopping; managing money. Only the questions on telephone use, shopping, and managing money are asked of long-term care facility residents.
activities of daily living (ADL) limitations refer to difficulty performing (or inability to perform, for a health reason) the following tasks: bathing; dressing; eating; getting
in/out of chairs; walking; toileting. Long-term care facility residents with no limitations may include individuals with limitations in certain lADLs: doing light or heavy
housework or meal preparation. These questions were not asked of facility residents.
Reference population: These data refer to Medicare beneficiaries.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 36c. Availability of specific services among Medicare enrollees age 65 and over residing
in community housing with services, 2007
Persons residing in community housing with services who have access to... Percent
Prepared meals 86.9
Housekeeping, maid, or cleaning services 83.9
Laundry services 71.9
Help with medications 51.4
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments,
senior citizen housing, continuing care retirement facilities, assisted living facilities, staged living communities, board and care
facilities/homes, and similar situations, AND who reported they had access to one or more services listed in the table through their
place of residence. Respondents were asked about access to these services, but not whether they actually used the services
Reference population: These data refer to Medicare beneficiaries.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
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INDICATOR 36
Residential Services continued
Table 36d. Annual income distribution of Medicare enrollees age 65 and over, by residential setting, 2007
Income
Traditional community
Community housing
with services
Long-term care facility
Total
$0-$1 0,000
$10,001 -$20,000
$20,001 -$30,000
$30,001 or more
100.0
13.1
24.5
20.6
41.8
Percent
100.0
14.0
28.3
16.9
40.8
100.0
38.2
38.8
10.2
12.8
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing, continuing
care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and similar situations, AND who reported they had
access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry services; help with
medications. Respondents were asked about access to these services, but not whether they actually used the services. A residence (or unit) is considered a long-term
care facility if it is certified by Medicare or Medicaid; or has three or more beds and is licensed as a nursing home or other long-term care facility and provides at least
one personal care service; or provides 24-hour, seven-day-a-week supervision by a non-family, paid caregiver. Income refers to annual income of respondent and
spouse. Table excludes data for respondents who reported only that their income was greater or less than $25,000.
Reference population: These data refer to Medicare beneficiaries.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 36e. Characteristics of services available to Medicare enrollees age 65 and over residing in community housing
with services, 2007
Selected characteristic
Percent
Services included in housing costs
All included
Some included/some separate
All separate
Can continue living there if they need substantial services
Yes
No
100.0
34.5
52.1
13.4
100.0
56.5
43.5
NOTE: Community housing with services applies to respondents who reported they lived in retirement communities or apartments, senior citizen housing, continuing
care retirement facilities, assisted living facilities, staged living communities, board and care facilities/homes, and similar situations, AND who reported they had
access to one or more of the following services through their place of residence: meal preparation; cleaning or housekeeping services; laundry services; help with
medications. Respondents were asked about access to these services, but not whether they actually used the services.
Reference population: These data refer to Medicare beneficiaries.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
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INDICATOR 37
Personal Assistance and Equipment
Table 37a. Distribution of noninstitutionalized Medicare enrollees age 65 and over who have limitations in activities
of daily living (ADLs), by types of assistance, selected years 1992-2007
7992
7997
2007
2005
2007
Personal assistance only
Equipment only
Personal assistance and
equipment
None
9.2
28.3
20.9
41.6
5.6
34.2
21.4
38.8
6.3
36.3
22.0
35.3
6.6
36.3
21.9
35.2
6.0
37.6
22.1
34.3
NOTE: ADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: bathing, dressing, eating, getting in/
out of chairs, walking, or using the toilet. Respondents who report difficulty with an activity are subsequently asked about receiving help or supervision from another
person with the activity and about using special equipment or aids. In this table, personal assistance does not include supervision.
Reference population: These data refer to noninstitutionalized Medicare enrollees who have limitations with one or more ADLs.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
Table 37b. Percentage of noninstitutionalized Medicare enrollees age 65 and over who have limitations in
instrumental activities of daily living (lADLs) and who receive personal assistance, by age group, selected years
1992-2007
65-74
75-84
85 and over
1992
58.9
63.2
69.2
1997
61.8
63.2
71.1
2007
60.9
66.5
73.7
2005
62.7
67.4
74.0
2007
65.4
66.0
69.7
NOTE: IADL limitations refer to difficulty performing (or inability to perform for a health reason) one or more of the following tasks: using the telephone, light
housework, heavy housework, meal preparation, shopping, or managing money. Respondents who report difficulty with an activity are subsequently asked about
receiving help from another person with the activity. In this table, personal assistance does not include supervision or special equipment.
Reference population: These data refer to noninstitutionalized Medicare enrollees who have limitations with one or more lADLs.
SOURCE: Centers for Medicare and Medicaid Services, Medicare Current Beneficiary Survey.
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Appendix B: Data Source Descriptions
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Air Quality System
The Air Quality System (AQS) contains ambient
air pollution data collected by the U.S.
Environmental Protection Agency (EPA) and
state, local, and tribal air pollution control
agencies. Data on criteria pollutants consist of
air quality measurements collected by sensitive
equipment at thousands of monitoring stations
located across all 50 states, plus the District
of Columbia, Puerto Rico, and the U.S. Virgin
Islands. Each monitor measures the concentration
of a particular pollutant in the air. Monitoring
data indicate the average pollutant concentration
during a specified time interval, usually 1 hour or
24 hours. AQS also contains meteorological data,
descriptive information about each monitoring
station (including its geographic location and its
operator), and data quality assurance or quality
control information. The system is administered
by EPA, Office of Air Quality Planning and
Standards, Information Transfer and Program
Integration Division, located in Research Triangle
Park, N.C.
For more information, contact:
David Mintz
U.S. Environmental Protection Agency
Phone: 919-541-5224
Website: http://www.epa.gov/air/data/aqsdb.html
American Housing Survey
The American Housing Survey (AHS) was
mandated by Congress in 1968 to provide data
for evaluating progress toward "a decent home
and a suitable living environment for every
American family." It is the primary source of
detailed information on housing in the United
States and is used to generate a biennial report
to Congress on the conditions of housing in the
United States, among other reports. The survey
is conducted for the Department of Housing and
Urban Development by the U.S. Census Bureau.
The AHS encompasses a national survey and 21
metropolitan surveys and is designed to collect
data from the same housing units for each survey.
The national survey, a representative sample of
approximately 60,000 housing units, is conducted
biennially in odd-numbered years; the metropolitan
surveys, representative samples of 3,500 housing
units, are conducted in odd-numbered years on
a 6-year cycle. The AHS collects data about the
inventory and condition of housing in the United
States and the demographics of its inhabitants.
The survey provides detailed data on the types of
housing in the United States and its characteristics
and conditions; financial data on housing costs,
utilities, mortgages, equity loans, and market
value; demographic data on family composition,
income, education, and race; and information on
neighborhood quality and recent movers.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
Cheryl Levine
U.S. Department of Housing and Urban
Development
E-mail: Cheryl.A.Lcvinc'ajhnd.gov
Phone: 202-402-3928
Website: http ://www.census .gov/hhes/www/ahs.
html
American Time Use Survey
The American Time Use Survey (ATUS) is a
nationally representative sample survey conducted
for the Bureau of Labor Statistics by the U.S.
Census Bureau. The ATUS measures how people
living in the United States spend their time.
Estimates show the kinds of activities people do
and the time they spent doing them by sex, age,
educational attainment, labor force status, and
other characteristics, as well as by weekday and
weekend day.
ATUS respondents are interviewed one time about
how they spent their time on the previous day,
where they were, and whom they were with. The
survey is a continuous survey, with interviews
conducted nearly every day of the year and a
sample that builds over time. About 13,000
members of the civilian noninstitutionalized
population age 15 and over are interviewed each
year.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
American Time Use Survey Staff
E-mail: atusinfo(a)bls.gov
Phone: 202-691-6339
Website: http://www.bls.gov/tus
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Consumer Expenditure Survey
The Consumer Expenditure Survey (CE) is
conducted for the Bureau of Labor Statistics by
the U.S. Census Bureau. The survey contains both
a diary component and an interview component.
Data are integrated before publication. The data
presented in this chartbook are derived from the
integrated data available on the CE website. The
published data are weighted to reflect the U.S.
population.
In the interview portion of the CE, respondents are
interviewed once every 3 months for 5 consecutive
quarters. Respondents report information on
consumer unit characteristics and expenditures
during each interview. Income data are collected
during the second and fifth interviews only.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
E-mail: CEXINFO^bls.gov
Phone: 202-691-6900
Website: http://www.bls.gov/cex
Current Population Survey
The Current Population Survey (CPS) is a
nationally representative sample survey of about
60,000 households conducted monthly for the
Bureau of Labor Statistics (BLS) by the U.S.
Census Bureau. The CPS core survey is the
primary source of information on the labor force
characteristics of the civilian noninstitutionalized
population age 16 and over, including a
comprehensive body of monthly data on the labor
force, employment, unemployment, persons not in
the labor force, hours of work, earnings, and other
demographic and labor force characteristics.
In most months, CPS supplements provide
additional demographic and social data. The Annual
Social and Economic Supplement (ASEC) is the
primary source of detailed information on income
and poverty in the United States. The ASEC is used
to generate the annual Population Profile of the
United States, reports on geographical mobility and
educational attainment, and is the primary source
of detailed information on income and poverty in
the United States. The ASEC, historically referred
to as the March supplement, now is conducted in
February, March, and April with a sample of about
100,000 addresses. The questionnaire asks about
income from more than 50 sources and records up
to 27 different income amounts, including receipt
of many noncash benefits, such as food stamps
and housing assistance.
Race and Hispanic origin: In 2003, for the first
time CPS respondents were asked to identify
themselves as belonging to one or more of the
six racial groups (white, black, American Indian
and Alaska Native, Asian, Native Hawaiian
and other Pacific Islander, and Some Other
Race); previously they were to choose only one.
People who responded to the question on race by
indicating only one race are referred to as the race
alone or single-race population and individuals
who chose more than one of the race categories are
referred to as the Two-or-More-Races population.
The CPS includes a separate question on Hispanic
origin. Starting in 2003, people of Spanish/
Hispanic/Latino origin could identify themselves
as Mexican, Puerto Rican, Cuban, or Other
Spanish/Hispanic/Latino. People of Hispanic
origin may be of any race.
The 1994 redesign of the CPS had an impact on
labor force participation rates for older men and
women. (See "Indicator 11: Participation in the
Labor Force.") For more information on the effect
of the redesign, see "The CPS After the Redesign:
Refocusing the Economic Lens."52
For more information regarding the CPS, its
sampling structure, and estimation methodology,
see "Explanatory Notes and Estimates of Error."53
For more information, contact:
Bureau of Labor Statistics
Department of Labor
E-mail: cpsinfo44bls.gov
Phone: 202-691-6378
Website: http://www.bls.gov/cps
Additional Website: http://www.census.gov/cps
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Decennial Census
Health and Retirement Study
Every 10 years, beginning with the first census
in 1790, the United States government conducts
a census, or count, of the entire population as
mandated by the U.S. Constitution. The 1990
and 2000 censuses were taken April 1 of their
respective years. As in several previous censuses,
two forms were used: a short form and a long
form. The short form was sent to every household,
and the long form, containing the 100 percent
questions plus the sample questions, was sent to
approximately one in every six households.
The Census 2000 short-form questionnaire
included six questions for each member of the
household (name, sex, age, relationship, Hispanic
origin, and race) and whether the housing unit
was owned or rented. The long form asked more
detailed information on subjects such as education,
employment, income, ancestry, homeowner costs,
units in a structure, number of rooms, plumbing
facilities, etc.
Race and Hispanic origin: In Census 2000,
respondents were given the option of selecting
one or more race categories to indicate their racial
identities. People who responded to the question on
race indicating only one of the six race categories
(white, black, American Indian and Alaska Native,
Asian, Native Hawaiian and other Pacific Islander,
and Some Other Race) are referred to as the race
alone or single-race population. Individuals who
chose more than one of the race categories are
referred to as the Two-or-More-Races population.
The six single-race categories, which made up
nearly 98 percent of all respondents, and the
Two-or-More-Races category sum to the total
population. Because respondents were given the
option of selecting one or more race categories to
indicate their racial identities, Census 2000 data
on race are not directly comparable with data from
the 1990 or earlier censuses.
As in earlier censuses, Census 2000 included a
separate question on Hispanic origin. In Census
2000, people of Spanish/Hispanic/Latino origin
could identify themselves as Mexican, Puerto
Rican, Cuban, or Other Spanish/Hispanic/Latino.
People of Hispanic origin may be of any race.
For more information, contact:
Age and Special Populations Branch
Phone: 301-763-2378
Website: http://www.census.gov/main/www/
cen2000.html
The Health and Retirement Study (HRS) is a
national panel study conducted by the University
of Michigan's Institute for Social Research under a
cooperative agreement with the National Institute
on Aging. In 1992, the study had an initial sample
of over 12,600 people from the 1931-1941 birth
cohort and their spouses. The HRS was joined
in 1993 by a companion study, Asset and Health
Dynamics Among the Oldest Old (AHEAD), with
a sample of 8,222 respondents (born before 1924
who were age 70 and over) and their spouses.
In 1998, these two data collection efforts were
combined into a single survey instrument and field
period and were expanded through the addition of
baseline interviews with two new birth cohorts:
Children of the Depression Age (1924-1930) and
War Babies (1942-1947). Plans call for adding a
new 6-year cohort of Americans entering their 50s
every 6 years. In 2004, baseline interviews were
conducted with the Early Boomer birth cohort
(1948-1953). Telephone follow-ups are conducted
every second year, with proxy interviews after
death. Beginning in 2006, one-half of this sample
has an enhanced face-to-face interview that
includes the collection of physical measures and
biomarker collection. The Aging, Demographics,
and Memory Study (ADAMS) is a supplement
to HRS with the specific aim of conducting a
population-based study of dementia.
The combined studies, which are collectively
called HRS, have become a steady state sample
that is representative of the entire U.S. population
age 50 and over (excluding people who resided in
a nursing home or other institutionalized setting at
the time of sampling). HRS will follow respondents
longitudinally until they die (including following
people who move into a nursing home or other
institutionalized setting).
The HRS is intendedto provide datafor researchers,
policy analysts, and program planners who make
major policy decisions that affect retirement,
health insurance, saving, and economic well-being.
The study is designed to explain the antecedents
and consequences of retirement; examine the
relationship between health, income, and wealth
over time; examine life cycle patterns of wealth
accumulation and consumption; monitor work
disability; provide a rich source of interdisciplinary
data, including linkages with administrative data;
-------
monitor transitions in physical, functional, and
cognitive health in advanced old age; relate late-
life changes in physical and cognitive health to
patterns of spending down assets and income flows;
relate changes in health to economic resources
and intergenerational transfers; and examine how
the mix and distribution of economic, family, and
program resources affect key outcomes, including
retirement, spending down assets, health declines,
and institutionalization.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
Health and Retirement Study
E-mail: hrsqi -,-.umich.edu
Phone:734-936-0314
Website: hrsonline.isr.umich.edu
Medical Expenditure Panel Survey
The Medical Expenditure Panel Survey (MEPS)
is an ongoing annual survey of the civilian
noninstitutionalized population that collects
detailed information on health care use and
expenditures (including sources of payment),
health insurance, income, health status, access,
and quality of care. MEPS, which began in 1996,
is the third in a series of national probability
surveys conducted by the Agency for Healthcare
Research and Quality on the financing and use
of medical care in the United States. MEPS
predecessor surveys are the National Medical
Care Expenditure Survey (NMCES) conducted
in 1977 and the National Medical Expenditure
Survey (NMES) conducted in 1987. Each of the
three surveys (i.e., NMCES, NMES, and MEPS)
used multiple rounds of in-person data collection
to elicit expenditures and sources of payments for
each health care event experienced by household
members during the calendar year. The current
MEPS Household Component (HC) sample is
drawn from respondents to the National Health
Interview Survey (NHIS) conducted by the
National Center for Health Statistics (NCHS).
To yield more complete information on health
care spending and payment sources, followback
surveys of health providers were conducted for a
subsample of events in MEPS (and events in the
MEPS predecessor surveys).
Since 1977, the structure of billing mechanism for
medical services has grown more complex as a
result of increasing penetration of managed care
and health maintenance organizations and various
cost-containment reimbursement mechanisms
instituted by Medicare, Medicaid, and private
insurers. As a result, there has been substantial
discussion about what constitutes an appropriate
measure of health care expenditures.54 Health care
expenditures presented in this report refer to what
is actually paid for health care services. More
specifically, expenditures are defined as the sum
of direct payments for care received, including
out-of-pocket payments for care received. This
definition of expenditures differs somewhat from
what was used in the 1987 NMES, which used
charges (rather than payments) as the fundamental
expenditure construct. To improve comparability
of estimates between the 1987 NMES and the
1996 and 2001 MEPS, the 1987 data presented
in this report were adjusted using the method
described by Zuvekas and Cohen.51 Adjustments
to the 1977 data were considered unnecessary
because virtually all of the discounting for health
care services occurred after 1977 (essentially
equating charges with payments in 1977).
A number of quality-related enhancements were
made to the MEPS beginning in 2000, including
the fielding of an annual adult self-administered
questionnaire (SAQ). This questionnaire contains
items on patient satisfaction and accountability
measures from the Consumer Assessment of
Healthcare Providers and Systems (CAHPS®;
previously known as the Consumer Assessment
of Health Plans), the SF-12 physical and mental
health assessment tool, EQ-5D EuroQol 5
dimensions with visual scale (2000-2003), and
several attitude items. Starting in 2004, the K-6
Kessler mental health distress scale and the PH2
two-item depression scale were added to the
SAQ.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
MEPS Project Director
E-mail: mcpsprqjcctdircctoraahrq.hhs.gov
Phone: 301-427-1406
Website: http://www.meps.ahrq.gov/mepsweb
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Medicare Current Beneficiary
Survey
The Medicare Current Beneficiary Survey
(MCBS) is a continuous, multipurpose survey of a
representative sample of the Medicare population
designed to help the Centers for Medicare and
Medicaid Services (CMS) administer, monitor, and
evaluate the Medicare program. The MCB S collects
information on health care use, cost, and sources
of payment; health insurance coverage; household
composition; sociodemographic characteristics;
health status and physical functioning; income
and assets; access to care; satisfaction with care;
usual source of care; and how beneficiaries get
information about Medicare.
MCBS data enable CMS to determine sources
of payment for all medical services used by
Medicare beneficiaries, including copayments,
deductibles, and noncovered services; develop
reliable and current information on the use and
cost of services not covered by Medicare (such
as long-term care); ascertain all types of health
insurance coverage and relate coverage to sources
of payment; and monitor the financial effects of
changes in the Medicare program. Additionally,
the MCBS is the only source of multidimensional
person-based information about the characteristics
of the Medicare population and their access to
and satisfaction with Medicare services and
information about the Medicare program. The
MCBS sample consists of Medicare enrollees in
the community and in institutions.
The survey is conducted in three rounds per
year, with each round being 4 months in length.
MCBS has a multistage, stratified, random sample
design and a rotating panel survey design. Each
panel is followed for 12 interviews. In-person
interviews are conducted using computer-assisted
personal interviewing. A sample of approximately
16,000 people are interviewed in each round.
However, because of the rotating panel design,
only 12,000 people receive all three interviews
in a given calendar year. Information collected
in the survey is combined with information from
CMS administrative data files and made available
through public-use data files.
Race and Hispanic origin: The MCBS defines race
as white, black, Asian, Native Hawaiian or Pacific
Islander, American Indian or Alaska Native, and
other. People are allowed to choose more than one
category. There is a separate question on whether
the person is of Hispanic or Latino origin. The
"other" category in Table 30c on page 121 consists
of people who answered "no" to the Hispanic/
Latino question and who answered something
other than "white" or "black" to the race question.
People who answer with more than one racial
category are assigned to the "other" category.
For more information, contact:
MCBS Staff
E-mail: MCBS44cms.hhs.gov
Website: http://www.cms.hhs.gov/mcbs
The Research Data Assistance Center
E-mail: rcsdnc
-------
present, they have an increased chance of being
selected as the sample adult. The new design
reduces the size of NHIS by approximately 13
percent relative to the previous sample design.
The interviewed sample for 2008 consisted of
28,709 households, which yielded 74,236 people
in 29,421 families. More information on the
survey methodology and content of NHIS can be
found at http://www.cdc.gov/nchs/nhis.htm.
Race and Hispanic origin: Starting with data year
1999, race-specific estimates in NHIS are tabulated
according to 1997 standards for federal data on
race and ethnicity and are not strictly comparable
with estimates for earlier years. The single race
categories for data from 1999 and later conform
to 1997 standards and are for people who reported
only one racial group. Prior to data year 1999, data
were tabulated according to the 1977 standards
and included people who reported one race or, if
they reported more than one race, identified one
race as best representing their race.
For more information, contact:
NHIS staff
E-mail: nchsquery@cdc.gov
Phone: 866-441-6247
Website: http://www.cdc.gov/nchs/nhis.htm
National Health and Nutrition
Examination Survey
The National Health and Nutrition Examination
Survey (NHANES), conducted by the National
Center for Health Statistics, is a family of cross-
sectional surveys designed to assess the health
and nutritional status of the noninstitutionalized
civilian population through direct physical
examinations and interviews. Each survey's
sample was selected using a complex,
stratified, multistage, probability sampling
design. Interviewers obtain information on
personal and demographic characteristics,
including age, household income, and race
and ethnicity directly from sample persons (or
their proxies). In addition, dietary intake data,
biochemical tests, physical measurements, and
clinical assessments are collected.
The NHANES program includes the following
surveys conducted on a periodic basis through
1994: the first, second, and third National Health
Examination Surveys (NHES I, 1960-1962;
NHES II, 1963-1965; and NHES III, 1966-1970);
and the first, second, and third National Health
and Nutritional Examination Surveys (NHANES
I, 1971-1974; NHANES II, 1976-1980; and
NHANES III, 1988-1994). Beginning in 1999,
NHANES changed to a continuous data collection
format without breaks in survey cycles. The
NHANES program now visits 15 U.S. locations per
year, surveying and reporting for approximately
5,000 people annually. The procedures employed
in continuous NHANES to select samples,
conduct interviews, and perform physical exams
have been preserved from previous survey cycles.
NHES I, NHANES I, and NHANES II collected
information on people 6 months to 74 years of age.
NHANES III and later surveys include people age
75 and over.
With the advent of the continuous survey design
(NHANES III), NHANES moved from a 6-year
data release to a 2-year data release schedule.
Estimates for 1999-2000, and later, are based on
a smaller sample size than estimates for earlier
time periods and, therefore, are subject to greater
sampling error.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
NHANES
E-mail: nchsquery@cdc.gov
Phone: 866-441-6247
Website: http://www.cdc.gov/nchs/nhanes.htm
National Vital Statistics System
Through the National Vital Statistics System, the
National Center for Health Statistics collects and
publishes data on births, deaths, and prior to 1996,
marriages and divorces occurring in the United
States based on U.S. standard certificates. The
Division of Vital Statistics obtains information on
births and deaths from the registration offices of
each of the 50 states, New York City, the District
of Columbia, Puerto Rico, the U.S. Virgin Islands,
Guam, American Samoa, and Northern Mariana
Islands. Geographic coverage for births and deaths
has been complete since 1933. Demographic
information on the death certificate is provided
by the funeral director based on information
supplied by an informant. Medical certification of
cause of death is provided by a physician, medical
-------
examiner, or coroner. The mortality data file is a
fundamental source of cause-of-death information
by demographic characteristics and for geographic
areas such as states. The mortality file is one of
the few sources of comparable health-related data
for smaller geographic areas in the United States
and over a long time period. Mortality data can be
used not only to present the characteristics of those
dying in the United States but also to determine life
expectancy and to compare mortality trends with
other countries. Data in this report for the entire
United States refer to events occurring within the
50 states and the District of Columbia; data for
geographic areas are by place of residence.
Race and Hispanic origin: Race and Hispanic
origin are reported separately on the death
certificate. Therefore, data by race shown in Tables
14b, 15b, and 15c include people of Hispanic
or non-Hispanic origin; data for Hispanic origin
include people of any race.
For more information, contact:
Mortality Statistics Branch
E-mail: nchsqucry^cdc.gov
Phone: 866-441-6247
Website: http://www.cdc.gov/nchs/deaths.htm
Panel Study of Income Dynamics
The Panel Study of Income Dynamics (PSID)
is a nationally representative, longitudinal study
conducted by the University of Michigan's
Institute for Social Research. It is a representative
sample of U.S. individuals (men, women, and
children) and the family units in which they reside.
Starting with a national sample of 5,000 U.S.
households in 1968, the PSID has reinterviewed
individuals from those households annually from
1968 to 1997 and biennially thereafter, whether or
not they are living in the same dwelling or with
the same people. Adults have been followed as
they have grown older, and children have been
observed as they advance through childhood
and into adulthood, forming family units of their
own. Information about the original 1968 sample
individuals and their current coresidents (spouses,
cohabitors, children, and anyone else living with
them) is collected each year. In 1997 and 1999,
in order to enhance the representativeness of
the study, a refresher sample of 511 post 1968
immigrant families was added to the PSID. With
low attrition rates and successful recontacts, the
sample size grew to approximately 8,330 as of
2007. PSID data can be used for cross-sectional,
longitudinal, and intergenerational analyses and
for studying both individuals and families.
The central focus of the data has been economic
and demographic, with substantial detail on
income sources and amounts, employment,
family composition changes, and residential
location. Based on findings in the early years,
the PSID expanded to its present focus on family
structure and dynamics as well as income, wealth,
and expenditures. Wealth and health are other
important contributors to individual and family
well-being that have been the focus of the PSID
in recent years.
The PSID wealth modules measure net equity
in homes and nonhousing assets divided into six
categories: other real estate and vehicles; farm
or business ownership; stocks, mutual funds,
investment trusts, and stocks held in IRAs;
checking and savings accounts, CDs, treasury
bills, savings bonds, and liquid assets in IRAs;
bonds, trusts, life insurance, and other assets; and
other debts. The PSID measure of wealth excludes
private pensions and rights to future Social
Security payments.
Race and Hispanic origin: The PSID asks
respondents if they are white, black, American
Indian, Aleut, Eskimo, Asian, Pacific Islander, or
another race. Respondents are allowed to choose
more than one category. They are coded according
to the first category mentioned. Only respondents
who classified themselves as white or black are
included in Table 10 on page 87.
For information, contact:
Frank Stafford
E-mail: fsta"' ••• •;>: " niich.edu or j
umich.edu
Phone:734-763-5166
Website: http://psidonline.isr.umich.edu/
Population Projections
The population projections for the United States
are interim projections that take into account the
results of Census 2000. These interim projections
were created using the cohort-component method,
which uses assumptions about the components
of population change. They are based on Census
-------
2000 results, official postcensus estimates, as well
as vital registration data from the National Center
for Health Statistics. The assumptions are based
on those used in the projections released in 2000
that used a 1998 population estimate base. Some
modifications were made to the assumptions
so that projected values were consistent with
estimates from 2001 as well as Census 2000.
Fertility is assumed to increase slightly from
current estimates. The projected total fertility rate
in 2025 is 2.180, and it is projected to increase to
2.186 by 2050. Mortality is assumed to continue
to improve overtime. By 2050, life expectancy at
birth is assumed to increase to 81.2 for men and
86.7 for women. Net immigration is assumed to
be 996,000 in 2025 and 1,097,000 in 2050.
Race and Hispanic origin: Interim projections
based on Census 2000 were also done by race
and Hispanic origin. The basic assumptions
by race used in the previous projections were
adapted to reflect the Census 2000 race definitions
and results. Projections were developed for the
following groups: (1) non-Hispanic white alone,
(2) Hispanic white alone, (3) black alone, (4) Asian
alone, and (5) all other groups. The fifth category
includes the categories of American Indian and
Alaska Native, Native Hawaiian and Other Pacifc
Islander, and all people reporting more than one of
the major race categories defined by the Office of
Management and Budget (OMB).
For a more detailed discussion of the cohort-
component method and the assumptions about
the components of population change, see
"Methodology and Assumptions forthe Population
Projections of the United States: 1999 to 2100."55
While this paper does not incorporate the updated
assumptions made for the interim projections, it
provides a more extensive treatment of the earlier
projections, released in 2000, on which the interim
series is based.
For more information, contact:
Population Projections Branch
Phone: 301-763-2428
Website: http://www.census.gov/population/
www/projections/popproj .html
Survey of the Aged, 1963
The major purpose of the 1963 Survey of the
Aged was to measure the economic and social
situations of a representative sample of all people
age 62 and over in the United States in 1963 in
order to serve the detailed information needs of
the Social Security Administration (SSA). The
survey included a wide range of questions on
health insurance, medical care costs, income,
assets and liabilities, labor force participation and
work experience, housing and food expenses, and
living arrangements.
The sample consisted of arepresentative subsample
(one-half) of the Current Population Survey
(CPS) sample and the full Quarterly Household
Survey. Income was measured using answers to
17 questions about specific sources. Results from
this survey have been combined with CPS results
from 1971 to the present in an income time series
produced by SSA.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
Susan Grad
E-mail: snsan.grad@ssa.gov
Phone: 202-358-6220
Website: http://www.socialsecurity.gov
Survey of Demographic and
Economic Characteristics of the
Aged, 1968
The 1968 survey of Demographic and Economic
Characteristics of the Aged was conducted by the
Social Security Administration (SSA) to provide
continuing information on the socioeconomic
status of the older population for program
evaluation. Major issues addressed by the study
include the adequacy of Old-Age, Survivors,
Disability, and Health Insurance benefit levels,
the impact of certain Social Security provisions on
the incomes of the older population, and the extent
to which other sources of income are received by
older Americans.
Data for the 1968 survey were obtained as a
supplement to the Current Medicare Survey,
which yields current estimates of health care
-------
services used and charges incurred by people
covered by the hospital insurance and supplemental
medical insurance programs. Supplemental
questions covered work experience, household
relationships, income, and assets. Income was
measured using answers to 17 questions about
specific sources. Results from this survey have
been combined with results from the Current
Population Survey from 1971 to the present in an
income time series produced by SSA.
Race and Hispanic origin: Data from this survey
are not shown by race and Hispanic origin in this
report.
For more information, contact:
Susan Grad
E-mail: susan.groJ ^jgov
Phone: 202-358-6220
Website: http://www.socialsecurity.gov
Survey of Veteran Enrollees' Health
and Reliance Upon VA, 2008
The 2008 Survey of Veteran Enrollees' Health
and Reliance Upon VA is the seventh in a series
of surveys of veteran enrollees for the Department
of Veterans Affairs (VA) health care conducted by
the Veterans Health Administration (VHA), within
the VA, under multiyear Office of Management
and Budget authority. Previous surveys of VHA-
enrolled veterans were conducted in 1999, 2000,
2002,2003,2005,and2007. All seven VHAsurveys
of enrollees consisted of telephone interviews with
stratified random samples of enrolled veterans.
From 2000 on, the survey instrument was modified
to reflect VA management's need for specific data
and information on enrolled veterans.
As with the other surveys in the series, the 2008
Survey of Veteran Enrollees' Health and Reliance
Upon VA sample was stratified by Veterans
Integrated Service Network, enrollment priority,
and type of enrollee (new or past user). Telephone
interviews averaged 17 minutes in length. In the
2008 survey, interviews were conducted beginning
on September 25, 2008, over a course of 11 weeks.
Of approximately 7.3 million eligible enrollees
who had not declined enrollment as of April 30,
2008, some 42,000 completed interviews in the
2008 telephone survey.
VHA enrollee surveys provide a fundamental
source of data and information on enrollees that
cannot be obtained in any other way except through
surveys and yet are basic to many VHA activities.
The primary purpose of the VHA enrollee surveys
is to provide critical inputs into VHA Health Care
Services Demand Model enrollment, patient,
and expenditure projections, and the Secretary's
enrollment level decision processes; however,
data from the enrollee surveys find their way
into a variety of strategic analysis areas related to
budget, policy, or legislation.
VHA enrollee surveys provide particular
value in terms of their ability to help identify
not only who VA serves but also to help
supplement VA's knowledge of veteran enrollees'
sociodemographic, economic, and health
characteristics, including household income,
health insurance coverage status, functional
status (limitations in activities of daily living and
instrumental activities of daily living), perceived
health status, race and ethnicity, employment
status, smoking status, period of service and
combat status, other eligibilities and resources,
their use of VA and non-VA health care services
and "reliance" upon VA, and their potential future
use of VA health care services.
For more information, contact:
Marybeth Matthews
E-mail: Marvbeth.Matthe\YS/fl;va.gov
Phone: 414-384-2000, ext. 42359
Website: http://www4.va.gov/
HEALTHPOLICYPLANNING/reports 1 .asp
Veteran Population Estimates
and Projections (model name is
VetPop2007 (December 2007)
VetPop2007 provides estimates and projections
of the veteran population by age groups and other
demographic characteristics at the county and state
levels. Veteran estimates and projections were
computed using a cohort-component approach,
whereby Census 2000 baseline data were adjusted
forward in time on the basis of separations from
the Armed Forces (new veterans) and expected
mortality.
Race and Hispanic origin: Data from this model
are not shown by race and Hispanic origin in this
report.
For more information, contact:
Hyo Park
E-mail: hyo.park^va.gov
Phone: 202-226-4539
Website: http://wwwl .va.gov/vetdata
-------
Appendix C: Glossary
-------
••.:.:•.• . •.. ! • . •• • • Activities
of daily living (ADLs) are basic activities that
support survival, including eating, bathing, and
toileting. See Instrumental activities of daily
living (lADLs).
In the Medicare Current Beneficiary Survey, ADL
disabilities are measured as difficulty performing
(or inability to perform because of a health
reason) one or more of the following activities:
eating, getting in/out of chairs, walking, dressing,
bathing, or toileting.
Asset income includes money
income reported in the Current Population Survey
from interest (on savings or bonds), dividends,
income from estates or trusts, and net rental
income. Capital gains are not included.
Assist ivo device; Assistive device refers to any
item, piece of equipment, or product system,
whether acquired commercially, modified, or
customized, that is used to increase, maintain,
or improve functional capabilities of individuals
with disabilities.
Body mass index; Body mass index (BMI) is a
measure of body weight adjusted for height and
correlates with body fat. A tool for indicating
weight status in adults, BMI is generally computed
using metric units and is defined as weight divided
by height2 or kilograms/meters2. The categories
used in this report are consistent with those set
by the World Health Organization. For adults 20
years of age and over, underweight is defined
as having a BMI less than 18.5; healthy weight
is defined as having a BMI of at least 18.5 and
less than 25; overweight is defined as having
values of BMI equal to 25 or greater; and obese
is defined as having BMI values equal to 30 or
greater. To calculate your own body mass index,
goto http://www.nhlbisupport.com/bmi. For more
information about BMI, see "Clinical guidelines
on the identification, evaluation, and treatment of
overweight and obesity in adults."56
. •••'•.•. • • , • A hybrid pension
plan that looks like a defined-contribution plan but
actually is a defined-benefit plan, a responsibility of
the employer. In a cash balance plan, an employer
establishes an account for employees, contributes
to the account, guarantees a return to the account,
and pays a lump sum benefit from the account at
job termination.
.' . . For the purpose of national
mortality statistics, every death is attributed to
one underlying condition, based on information
reported on the death certificate and using the
international rules for selecting the underlying
cause-of-death from the conditions stated on
the death certificate. The conditions that are not
selected as underlying cause of death constitute
the nonunderlying cause of death, also known
as multiple cause of death. Cause of death is
coded according to the appropriate revision of the
International Classification of Diseases (ICD).
Effective with deaths occurring in 1999, the
United States began using the Tenth Revision of
the ICD (ICD-10). Data from earlier time periods
were coded using the appropriate revision of the
ICD for that time period. Changes in classification
of causes of death in successive revisions of the
ICD may introduce discontinuities in cause-of-
death statistics over time. These discontinuities
are measured using comparability ratios. These
measures of discontinuity are essential to the
interpretation of mortality trends. For further
discussion, seethe "Mortality Technical Appendix"
available at http://www.cdc.gov/nchs/data/statab/
techap99.pdf.
: ; i • •-. • '••: The cause-of-death
ranking for adults is based on the List of 113
Selected Causes of Death. The top-ranking causes
determine the leading causes of death. Certain
causes on the tabulation lists are not ranked if,
for example, the category title represents a group
title (such as "Major cardiovascular diseases"
and "Symptoms, signs, and abnormal clinical and
laboratory findings, not elsewhere classified")
or the category title begins with the words
"Other" and "All other." In addition, when a title
that represents a subtotal (such as "Malignant
neoplasm") is ranked, its component parts are not
ranked. Causes that are tied receive the same rank;
the next cause is assigned the rank it would have
received had the lower-ranked causes not been
tied (i.e., they skip a rank).
• '. > v Information about cigarette
smoking in the National Health Interview Survey
is obtained for adults age 18 and over. Although
there has been some variation in question wording,
smokers continue to be defined as people who have
ever smoked 100 cigarettes and currently smoke.
Starting in 1993, current smokers are identified
by asking the following two questions: "Have
-------
you smoked at least 100 cigarettes in your entire
life?" and "Do you now smoke cigarettes every
day, some days, or not at all?" (revised definition).
People who smoked 100 cigarettes and who now
smoke every day or some days are defined as
current smokers. Before 1992, current smokers
were identified based on positive responses to
the following two questions: "Have you smoked
at least 100 cigarettes in your entire life?" and
"Do you smoke now?" (traditional definition). In
1992, cigarette smoking data were collected for
a half sample with one-half the respondents (a
one-quarter sample) using the traditional smoking
questions and the other half of respondents (a
one-quarter sample) using the revised smoking
question. An unpublished analysis of the 1992
traditional smoking measure revealed that the
crude percentage of current smokers age 18 and
over remained the same as in 1991. The statistics
reported for 1992 combined data collected using
the traditional and the revised questions. The
information obtained from the two smoking
questions listed above is combined to create the
variables represented in Tables 26a and 26b on
pages 111 and 112.
•' / r - -;<;'••.<•/• There are two categories of
current smokers: people who smoke every day
and people who smoke only on some days.
- ;, ••!•:<:•••••• This category includes people
who have smoked at least 100 cigarettes in their
lifetimes but currently do not smoke at all.
<:?-/'< This category includes people who
have never smoked at least 100 cigarettes in their
lifetime.
The death rate is calculated by dividing
the number of deaths in a population in a year by
the midyear resident population. For census years,
rates are based on unrounded census counts of the
resident population as of April 1. For the noncensus
years of 1981-1989 and 1991, rates are based on
national estimates of the resident population as of
July 1, rounded to the nearest thousand. Starting
in 1992, rates are based on unrounded national
population estimates. Rates for the Hispanic and
non-Hispanic white populations in each year are
based on unrounded state population estimates for
states in the Hispanic reporting area through 1996.
Beginning in 1997, all states reported Hispanic
origin. Death rates are expressed as the number
of deaths per 100,000 people. The rate may be
restricted to deaths in specific age, race, sex, or
geographic groups or from specific causes of
death (specific rate), or it may be related to the
entire population (crude rate).
Dental services; In the Medicare Current
Beneficiary Survey (Indicators 30 and 34), the
Medical Expenditure Panel Survey (MEPS),
and the data used from the MEPS predecessor
surveys used in this report (Indicator 33) this
category covers expenses for any type of dental
care provider, including general dentists, dental
hygienists, dental technicians, dental surgeons,
orthodontists, endodontists, and periodontists.
t :• VK-C/,. In the Medical
Expenditure Panel Survey (MEPS) and the data
used from the MEPS predecessor surveys used in
this report (Indicator 33), this category includes
expenses for visits to medical providers seen in
emergency rooms (except visits resulting in a
hospital admission). These expenses include
payments for services covered under the basic
facility charge and those for separately billed
physician services. In the Medicare Current
Beneficiary Survey (Indicators 30 and 34)
emergency room services are included as a
hospital outpatient service unless they are incurred
immediately prior to a hospital stay, in which case
they are included as a hospital inpatient service.
, n - ,• This is the method of reimbursing
health care providers on the basis of a fee for each
health service provided to the insured person.
,i . See Activities of daily
living (ADLs) and Instrumental activities of daily
living (lADLs).
• For Census 2000, the U.S.
Census Bureau classified all people not living in
households as living in group quarters. There are
two types of group quarters: institutional (e.g.,
correctional facilities, nursing homes, and mental
hospitals) and noninstitutional (e.g., college
dormitories, military barracks, group homes,
missions, and shelters).
-------
! • ;• ;•! "">! li'-in-M-li'-i!^.1 In the Consumer Expenditure
Survey head of household is denned as the first
person mentioned when the respondent is asked
to name the person or people who own or rent the
home in which the consumer unit resides.
In the Panel Study of Income Dynamics (within
each wave of data), each family unit has only one
current head of household (Head). Originally,
if the family contained a husband-wife pair, the
husband was arbitrarily designated the Head to
conform with U.S. Census Bureau definitions in
effect at the time the study began. The person
designated as Head may change over time as a
result of other changes affecting the family. When
a new Head must be chosen, the following rules
apply: The Head of the family unit must be at
least 16 years old and the person with the most
financial responsibility for the family unit. If this
person is female and she has a husband in the
family unit, then he is designated as Head. If she
has a boyfriend with whom she has been living for
at least 1 year, then he is Head. However, if the
husband or boyfriend is incapacitated and unable
to fulfill the functions of Head, then the family
unit will have a female Head.
nv.nliii ;•:•;; <;• .'j.y-'niln;n :•••.: In the Consumer
Expenditure Survey (Indicator 12), health care
expenditures include out-of-pocket expenditures
for health insurance, medical services, prescription
drugs, and medical supplies. In the Medicare
Current Beneficiary Survey (Indicators 30 and 34),
health care expenditures include all expenditures
for inpatient hospital, medical, nursing home,
outpatient (including emergency room visits),
dental, prescription drugs, home health care,
and hospice services, including both out-of-
pocket expenditures and expenditures covered by
insurance. Personal spending for health insurance
premiums is excluded. In the Medical Expenditure
Panel Survey (MEPS) and the data used from the
MEPS predecessor surveys used in this report
(Indicator 33), health care expenditures refers to
payments for health care services provided during
the year. (Data from the 1987 survey have been
adjusted to permit comparability across years;
see Zuvekas and Cohen.51) Out-of-pocket health
care expenditures are the sum of payments paid to
health care providers by the person, or the person's
family, for health care services provided during
the year. Health care services include inpatient
hospital, hospital emergency room, and outpatient
department care; dental services; office-based
medical provider services; prescription drugs;
home health care; and other medical equipment
and services. Personal spending for health
insurance premium(s) is excluded.
An HMO is a prepaid health plan delivering
comprehensive care to members through
designated providers, having a fixed monthly
payment for health care services, and requiring
members to be in a plan for a specified period of
time (usually 1 year).
UiMiuui u..M:vur. See specific data source
descriptions in Appendix B.
(/•-mi:- k-:-'hh .• :>••.< .•••.,') ••. \c: • M-,--:'.'<....--rvii.•.••<.•; Hospice care is a
program of palliative and supportive care services
providing physical, psychological, social, and
spiritual care for dying persons, their families,
and other loved ones by a hospice program or
agency. Hospice services are available in home
and inpatient settings. In the Medicare Current
Beneficiary Survey (MCBS) (Indicators 30 and
34) hospice care includes only those services
provided as part of a Medicare benefit. In MCBS
Indicator 30 (Medicare) hospice services are
included as part of the "Other" category. In
MCBS Indicator 34 (Medicare) hospice services
-------
are included as a separate category. In the Medical
Expenditure Panel Survey (MEPS) (Indicator 33)
hospice care provided in the home (regardless of
the source of payment) is included in the "Other
health care" category, while hospice care provided
in an institutional setting (e.g., nursing home) is
excluded from the MEPS universe.
i.l>i> Vn' = MV Hospital care in the Medical
Expenditure Panel Survey (Indicator 33) includes
hospital inpatient care and care provided in
hospital outpatient departments and emergency
rooms. Care can be provided by physicians or
other health practitioners; payments for hospital
care include payments billed directly by the
hospital and those billed separately by providers
for services provided in the hospital.
il'^H i '• \r\\':-- -i <-.'.-TV'>.:•.-•': In the Medicare
Current Beneficiary Survey (Indicators 30 and
34) hospital inpatient services include room and
board and all hospital diagnostic and laboratory
expenses associated with the basic facility
charge, and emergency room expenses incurred
immediately prior to inpatient stays. Expenses
for hospital stays with the same admission and
discharge dates are included if the Medicare bill
classified the stay as an "inpatient" stay. Payments
for separate billed physician inpatient services
are excluded. In the Medical Expenditure Panel
Survey (Indicator 33) these services include room
and board and all hospital diagnostic and laboratory
expenses associated with the basic facility charge,
payments for separately billed physician inpatient
services, and emergency room expenses incurred
immediately prior to inpatient stays. Expenses for
reported hospital stays with the same admission
and discharge dates are also included.
!i>;vijhi! >;.)in«iW i, >,,•)", !;:;, These services
in the Medicare Current Beneficiary Survey
(Indicators 30 and 34) include visits to both
physicians and other medical providers seen in
hospital outpatient departments or emergency
rooms (provided the emergency room visit does not
result in an inpatient hospital admission), as well
as diagnostic laboratory and radiology services.
Payments for these services include those covered
under the basic facility charge. Expenses for in-
patient hospital stays with the same admission and
discharge dates and classified on the Medicare bill
as "outpatient" are also included. Separately billed
physician services are excluded.
!fi"n i f! v.-.lyv. Hospital stays in the Medicare
claims data (Indicator 29) refers to admission
to and discharge from a short-stay acute care
hospital.
! i>;u':' •.-. (•";! lujivv In the American Housing
Survey, housing cost burden is defined as
expenditures on housing utilities in excess of 30
percent of reported income.
• •;. • • ' In the Consumer
Expenditure Survey's Interview Survey, housing
expenditures include payments for mortgage
interest; property taxes; maintenance, repairs,
insurance, and other expenses; rent; rent as pay
(reduced or free rent for a unit as a form of pay);
maintenance, insurance, and other expenses for
renters; and utilities.
i i; >1.' ! ;,•-. Incidence is the number of cases of
disease having their onset during a prescribed
period of time. It is often expressed as a rate.
For example, the incidence of measles per 1,000
children ages 5 to 15 during a specified year.
Incidence is a measure of morbidity or other
events that occur within a specified period of time.
See Prevalence.
r H > ;•; i; • In the Current Population Survey, income
includes money income (prior to payments for
personal income taxes, Social Security, union
dues, Medicare deductions, etc.) from: (1) money
wages or salary; (2) net income from nonfarm
self-employment; (3) net income from farm self-
employment; (4) Social Security or Railroad
Retirement; (5) Supplemental Security Income;
(6) public assistance or welfare payments; (7)
interest (on savings or bonds); (8) dividends,
income from estates or trusts, or net rental income;
(9) veterans' payment or unemployment and
worker's compensation; (10) private pensions or
government employee pensions; and (11) alimony
or child support, regular contributions from people
not living in the household, and other periodic
income. Certain money receipts such as capital
gains are not included.
In the Medicare Current Beneficiary Study, income
is for the sample person, or the sample person
and spouse if the sample person was married
at the time of the survey. All sources of income
from jobs, pensions, Social Security benefits,
Railroad Retirement and other retirement income,
-------
Supplemental Security Income, interest, dividends,
and other income sources are included.
Two income categories
were used to examine out-of-pocket health care
expenditures using the Medical Expenditure Panel
Survey (MEPS) and MEPS predecessor survey
data. The categories were expressed in terms
of poverty status (i.e., the ratio of the family's
income to the federal poverty thresholds for
the corresponding year), which controls for the
size of the family and the age of the head of the
family. The income categories were (1) poor and
near poor and (2) other income. Poor and near
poor income category includes people in families
with income less than 100 percent of the poverty
line, including those whose losses exceeded their
earnings, resulting in negative income (i.e., the
poor), as well as people in families with income
from 100 percent to less than 125 percent of the
poverty line (i.e., the near poor). Other income
category includes people in families with income
greater than or equal to 125 percent of the poverty
line. See Income, household.
Household income from the
Medical Expenditure Panel Survey (MEPS) and
the MEPS predecessor surveys used in this report
was created by summing personal income from
each household member to create family income.
Family income was then divided by the number of
people that lived in the household during the year
to create per capita household income. Potential
income sources asked about in the survey
interviews include annual earnings from wages,
salaries, withdrawals; Social Security and VA
payments; Supplemental Security Income and
cash welfare payments from public assistance;
Temporary Assistance for Needy Families,
formerly known as Aid to Families with Dependent
Children; gains or losses from estates, trusts,
partnerships, C corporations, rent, and royalties;
and a small amount of other income. See Income
categories.
A population can be divided into
groups with equal numbers of people based on the
size of their income to show how the population
differs on a characteristic at various income levels.
Income fifths are five groups of equal size, ordered
from lowest to highest income.
See Hospital inpatient
services.
For Census 2000, the U.S. Census
Bureau defined institutions as correctional insti-
tutions; nursing homes; psychiatric hospitals;
hospitals or wards for chronically ill or for the
treatment of substance abuse; schools, hospitals
or wards for the mentally retarded or physically
handicapped; and homes, schools, and other
institutional settings providing care for children.64
See Population.
See Population.
lADLs are indicators of functional well-being that
measure the ability to perform more complex tasks
than the related activities of daily living (ADLs).
See Activities of daily living (ADLs).
In the Medicare Current Beneficiary Survey.
lADLs are measured as difficulty performing (or
inability to perform because of a health reason)
one or more of the following activities: heavy
housework, light housework, preparing meals,
using a telephone, managing money, or shopping.
In the Medicare Current
Beneficiary Survey (MCBS) (Indicators 20 and
36), a residence (or unit) is considered a long-
term care facility if it is certified by Medicare or
Medicaid; has three or more beds and is licensed
as a nursing home or other long-term care facility
and provides at least one personal care service; or
provides 24-hour, 7-day-a-week supervision by a
non-family, paid caregiver. In MCBS (Indicators
30 and 34), a long-term care facility excludes
"short-term institutions" (e.g., sub-acute care)
stays. See Short-term institution (Indicators 30
and 34), and Skilled nursing home (Indicator 29).
Mammography is an x-ray
image of the breast used to detect irregularities in
breast tissue.
The mean is an average of n numbers
computed by adding the numbers and
dividing by n.
The median is a measure of central
tendency, the point on the scale that divides a
group into two parts.
This nationwide health insurance
program is operated and administered by the
states, with federal financial participation. Within
certain broad, federally determined guidelines,
-------
states decide who is eligible; the amount, duration,
and scope of services covered; rates of payment
for providers; and methods of administering the
program. Medicaid pays for health care services,
community-based supports, and nursing home
care for certain low-income people. Medicaid does
not cover all low-income people in every state.
The program was authorized in 1965 by Title XIX
of the Social Security Act.
v);-r;i,j , , This nationwide program provides
health insurance to people age 65 and over, people
entitled to Social Security disability payments for
2 years or more, and people with end-stage renal
disease, regardless of income. The program was
enacted July 30, 1965, as Title XVIII, Health
Insurance for the Aged of the Social Security Act,
and became effective on July 1, 1966. Medicare
covers acute care services and post-acute care
settings such as rehabilitation and long-term care
hospitals, and generally does not cover nursing
home care. Prescription drug coverage began
in 2006.
M.'Jicjiv "'.;h:ii>i..•-,;.;,•: See Medicare Part C.
M:'>-)ii.t'i,-:' !''<'>•• I \ Medicare Part A (Hospital
Insurance) covers inpatient care in hospitals,
critical access hospitals, skilled nursing facilities,
and other post-acute care settings such as
rehabilitation and long-term care hospitals. It also
covers hospice and some home health care.
Yl.-'.lM-.j.v \:.i--I H: Medicare Part B (Medical
Insurance) covers doctors' services, outpatient
hospital care, and durable medical equipment.
It also covers some other medical services that
Medicare Part A does not cover, such as physical
and occupational therapy and some home health
care. Medicare Part B also pays for some supplies
when they are medically necessary.
\l,'vUi.,uv r.'h'i H Medicare Part D subsidizes
the costs of prescription drugs for Medicare
beneficiaries. It was enacted as part of the
Medicare Prescription Drug, Improvement, and
Modernization Act of 2003 (MMA) and went into
effect on January 1,2006. Beneficiaries can obtain
the Medicare drug benefit through two types of
private plans: beneficiaries can join a Prescription
Drug Plan (POP) for drug coverage only or they
can join a Medicare Advantage plan (MA) that
covers both medical services and prescription
drugs (MA-PD). Alternatively, beneficiaries may
receive drug coverage through a former employer,
in which case the former employer may qualify for
a retiree drug subsidy payment from Medicare.
M ••••>! i>.•: ;i p See Supplemental health insurance.
'."••-.ih;)..),-1! j?;;rjy,jl,jjfO)> :v. I JM--I uvoi nr.iin:-. The
national population adjustment matrix adjusts the
population to account for net underenumeration.
Details on this matrix can be found on the U.S.
Census Bureau website: http://www.census.gov/
population/www/censusdata/adjustment.html.
(.'! ."•••••,![; ; See Body mass index.
OfnO.-k>.-..'-d mL-'l'-.-Ul j..:V<, liU'i- ,..",",! ..-^'. In tilC
Medical Expenditure Panel Survey (Indicator
33) this category includes expenses for visits to
physicians and other health practitioners seen
in office-based settings or clinics. Other health
practitioner includes audiologists, optometrists,
chiropractors, podiatrists, mental health
professionals, therapists, nurses, and physician's
assistants, as well as providers of diagnostic
laboratory and radiology services. Services
provided in a hospital based setting, including
outpatient department services, are excluded.
. . . In the Medicare Current
Beneficiary Survey (Indicator 34), this category
includes "short-term institution," "hospice," and
"dental" services. In the Medical Expenditure
Panel Survey (MEPS) (Indicator 33) other
health care includes "home health services"
(formal care provided by home health agencies
and independent home health providers) and
other medical equipment and services. The latter
includes expenses for eyeglasses, contact lenses,
-------
ambulance services, orthopedic items, hearing
devices, prostheses, bathroom aids, medical
equipment, disposable supplies, alterations/
modifications, and other miscellaneous items or
services that were obtained, purchased, or rented
during the year.
Other income is total income
minus retirement benefits, earnings, asset income,
and public assistance. It includes, but is not
limited to, unemployment compensation, worker's
compensation, alimony, and child support.
See Hospital outpatient
services.
These are health
care costs that are not covered by insurance.
See Body mass index.
Pensions include money income
reported in the Current Population Survey from
Railroad Retirement, company or union pensions
(including profit sharing and 401(k) payments),
IRAs, Keoghs, regular payments from annuities
and paid-up life insurance policies, federal
government pensions, U.S. military pensions, and
state or local government pensions.
In the Medicare
Current Beneficiary Survey (Indicator 34), this
category includes visits to a medical doctor,
osteopathic doctor, and health practitioner as well
as diagnostic laboratory and radiology services.
Health practitioners include audiologists,
optometrists, chiropractors, podiatrists,
mental health professionals, therapists, nurses,
paramedics, and physician's assistants. Services
provided in a hospital-based setting, including
outpatient department services, are included.
In the Medicare
Current Beneficiary Survey (Indicator 30), this
term refers to "physician/medical services"
combined with "hospital outpatient services."
In Medicare
claims data (Indicator 29) physician visits and
consultations include visits and consultations
with primary care physicians, specialists, and
chiropractors in their offices, hospitals (inpatient
and outpatient), emergency rooms, patient homes,
and nursing homes.
Data on populations in the United
States are often collected and published according
to several different definitions. Various statistical
systems then use the appropriate population for
calculating rates.
The resident population of
the United States includes people resident in the
50 states and the District of Columbia. It excludes
residents of the Commonwealth of Puerto Rico and
residents of the outlying areas under United States
sovereignty or jurisdiction (principally American
Samoa, Guam, Virgin Islands of the United States,
and the Commonwealth of the Northern Mariana
Islands). The definition of residence conforms to
the criterion used in Census 2000, which defines
a resident of a specified area as a person "usually
resident" in that area. The resident population
includes people resident in a nursing home and
other types of institutional settings, but excludes
the U.S. Armed Forces overseas, as well as civilian
U.S. citizens whose usual place of residence is
outside the United States. As defined in "Indicator
6: Older Veterans," the resident population
includes Puerto Rico.
The
resident noninstitutionalized population is the
resident population not residing in institutions. For
Census 2000, institutions, as defined by the U.S.
Census Bureau, included correctional institutions;
nursing homes; psychiatric hospitals; hospitals
or wards for chronically ill or for the treatment
of substance abuse; homes and schools, hospitals
or wards for the mentally retarded or physically
handicapped; and homes, schools, and other
institutional settings providing care for children.
People living in noninstitutional group quarters
are part of the resident noninstitutionalized
population. For Census 2000, noninstitutional
group quarters included group homes (i.e.,
community-based homes that provide care
and supportive services); residential facilities
"providing protective oversight ... to people with
disabilities"; worker and college dormitories;
military and religious quarters; and emergency
and transitional shelters with sleeping facilities.64
The civilian population is
the U.S. resident population not in the active duty
Armed Forces.
The
civilian noninstitutionalized population is the
-------
civilian population not residing in institutions. For
Census 2000, institutions, as denned by the U.S.
Census Bureau, included correctional institutions;
nursing homes; psychiatric hospitals; hospitals or
wards for chronically ill or for the treatment of
substance abuse; schools, hospitals or wards for
the mentally retarded or physically handicapped;
and homes, schools, and other institutional
settings providing care for children. Civilians
living in noninstitutional group quarters are part
of the civilian noninstitutionalized population.
For Census 2000, noninstitutional group quarters
included group homes (i.e., "community based
homes that provide care and supportive services");
residential facilities "providing protective
oversight to people with disabilities"; worker
and college dormitories; religious quarters; and
emergency and transitional shelters with sleeping
facilities.57
• ::•:,;.;<•:• ., ,., -,vi,.-,....-,.,, For Census 2000, the
institutionalized population was the population
residing in correctional institutions; nursing
homes; psychiatric hospitals; hospitals or wards
for chronically ill or for the treatment of substance
abuse; schools, hospitals, or wards for the
mentally retarded or physically handicapped; and
homes, schools, and other institutional settings
providing care for children. People living in
noninstitutional group quarters are part of the
noninstitutionalized population. For Census
2000, noninstitutional group quarters included
group homes (i.e., "community-based homes that
provide care and supportive services"); residential
facilities "providing protective oversight ... to
people with disabilities"; worker and college
dormitories; military and religious quarters; and
emergency and transitional shelters with sleeping
facilities.57
IV-v.') u: The official measure of poverty is
computed each year by the U.S. Census Bureau
and is denned as being less than 100 percent of the
poverty threshold (i.e., $9,944 for one person age
65 and over in 2007).58 Poverty thresholds are the
dollar amounts used to determine poverty status.
Each family (including single-person households)
is assigned a poverty threshold based upon the
family's income, size of the family, and ages of
the family members. All family members have
the same poverty status. Several of the indicators
included in this report include a poverty status
measure. Poverty status (less than 100 percent of
the poverty threshold) was computed for "Indicator
7: Poverty," "Indicator 8: Income," "Indicator 17:
Sensory Impairments and Oral Health," "Indicator
22: Mammography," and "Indicator 32: Sources of
Health Insurance," "Indicator 33: Out-of-Pocket
Health Care Expenditures" using the official U.S.
Census Bureau definition for the corresponding
year. In addition, the following above-poverty
categories are used in this report.
/ . . • • • The income categories are
derived from the ratio of the family's income (or
an unrelated individual's income) to the poverty
threshold. Being in poverty is measured as income
less than 100 percent of the poverty threshold. Low
income is between 100 percent and 199 percent
of the poverty threshold (i.e., $9,944 and $19,887
for one person age 65 and over in 2007). Middle
income is between 200 percent and 399 percent of
the poverty threshold (i.e., between $19,888 and
$39,775 for one person age 65 and over in 2007).
High income is 400 percent or more of the poverty
threshold.
.':'".•••, • ,<.' .'/••,•:'•••'•• :.• •.::•:,• Below poverty is
defined as less than 100 percent of the poverty
threshold. Above poverty is grouped into two
categories: (1) 100 percent to less than 200 percent
of the poverty threshold and (2) 200 percent of the
poverty threshold or greater.
Below poverty is defined as less
than 100 percent of the poverty threshold. People
are classified into the poor/near poor income
category if the person's household income is
below 125 percent of the poverty level. People
are classified into the other income category if the
person's household income is equal to or greater
than 125 percent of the poverty level.
.[•V>"..i.-,-ij:.ii.:n! cij-u^.v'iii'.'-^in'ti-:"..; In the Medicare
Current Beneficiary Survey (Indicators 30,
31, 34) and in the Medical Expenditure Panel
Survey (Indicator 33) prescription drugs are all
prescription medications (including refills) except
those provided by the doctor or practitioner
as samples and those provided in an inpatient
setting.
i (( H|.•..!;•,>: Prevalence is the number of cases of
a disease, infected people, or people with some
other attribute present during a particular interval
-------
of time. It is often expressed as a rate (e.g., the
prevalence of diabetes per 1,000 people during a
year). See Incidence.
See
Supplemental health insurance.
Public assistance is money
income reported in the Current Population Survey
from Supplemental Security Income (payments
made to low-income people who are age 65 and
over, blind, or disabled) and public assistance or
welfare payments, such as Temporary Assistance
for Needy Families and General Assistance.
See Income fifths.
See specific data source descriptions in
Appendix B.
A rate is a measure of some event, disease,
or condition in relation to a unit of population,
along with some specification of time.
The reference population
is the base population from which a sample is drawn
at the time of initial sampling. See Population.
In the
National Health Interview Survey, respondent-
assessed health status is measured by asking the
respondent, "Would you say [your/subject name's]
health is excellent, very good, good, fair, or
poor?" The respondent answers for all household
members including himself or herself.
This category in the
Medicare Current Beneficiary Survey (Indicators
30 and 34) includes skilled nursing facility stays
and other short-term (e.g., sub-acute care) facility
stays (e.g., a rehabilitation facility stay). Payments
for these services include Medicare and other
payment sources. See Skilled nursing facility
(Indicator 29), Nursing facility (Indicator 36),
and Long-term care facility (Indicators 20, 30, 34,
and 37.
Skilled nursing
facility stays in the Medicare claims data (Indicator
29) refers to admission to and discharge from a
skilled nursing facility, regardless of the length of
stay. See Skilled nursing facility (Indicator 29).
A skilled nursing
facility (SNF) as defined by Medicare (Indicator
29) provides short-term skilled nursing care on an
inpatient basis, following hospitalization. These
facilities provide the most intensive care available
outside of inpatient acute hospital care. In the
Medicare Current Beneficiary Survey (Indicators
30 and 34) "skilled nursing facilities" are classified
as a type of "short-term institution." See Short-
term institution (Indicators 30 and 34), and Long-
term care facility (Indicators 20, 30, 34, and 36).
Social Security benefits
include money income reported in the Current
Population Survey from Social Security old-age,
disability, and survivors' benefits.
A population in which
the age and sex composition is known precisely,
as a result of a census. A standard population is
used as a comparison group in the procedure for
standardizing mortality rates.
Supplemental
health insurance is designed to fill gaps in the
original Medicare plan coverage by paying some
of the amounts that Medicare does not pay for
covered services and may pay for certain services
not covered by Medicare. Private Medigap is
supplemental insurance individuals purchase
themselves orthrough organizations such as AARP
or other professional organizations. Employer-or
union-sponsored supplemental insurance policies
are provided through a Medicare enrollee's former
employer or union. For dual-eligible beneficiaries,
Medicaid acts as a supplemental insurer to
Medicare. Some Medicare beneficiaries enroll in
HMOs and other managed care plans that provide
many of the benefits of supplemental insurance,
such as low copayments and coverage of services
that Medicare does not cover.
TRICARE is the Department
of Defense's regionally managed health care
program for active duty and retired members of the
uniformed services, their families, and survivors.
TRICARE for Life is
TRIG ARE's Medicare wraparound coverage
(similar to traditional Medigap coverage) for
Medicare-eligible uniformed services beneficiaries
and their eligible family members and survivors.
Veterans include those who served on
active duty in the Army, Navy, Air Force, Marines,
Coast Guard, uniformed Public Health Service,
or uniformed National Oceanic and Atmospheric
-------
Administration; Reserve Force and National
Guard called to federal active duty; and those
disabled while on active duty training. Excluded
are those dishonorably discharged and those
whose only active duty was for training or State
National Guard service.
Veterans' health care: Health care services
provided by the Veterans Health Administration
(Indicator 35) includes preventive care, ambulatory
diagnosis and treatment, inpatient diagnosis and
treatment and medications and supplies. This
includes home- and community-based services
(e.g., home health care) and long-term care
institutional services (for those eligible to receive
these services).
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The Historical Experience of Three Cohorts of Older Americans:
A Timeline of Selected Events 1923-2010
1923 Cohort Year
Historical Events
Legislative Events
5 years old
1933 Cohort!
7929- Stock market crashes
5 years old 15 years old
7934- Federal Housing Administration created
by Congress; 7935-Social Security Act
passed; 7937- U.S. Housing Act passed,
establishing Public Housing
1943 Cohort!
7947 - Pearl Harbor; United States enters WWII
5 years old 15 years old 25 years old
7945-Yalta Conference;Cold War begins
7946 - Baby boom begins
7950 - United States enters Korean War
15 years old 25 years old 35 years old
25 years old 35 years old 45 years old
7955 - Nationwide polio vaccination program
begins
7964 - United States enters Vietnam War;
baby boom ends
7969 - First man on the moon
7956 - Women age 62-64 eligible for reduced
Social Security benefits; 7957- Social
Security Disability Insurance implement-
ed; 7959-Section 202 of the Housing Act
established, providing assistance to older
adults with low income; 7967 - Men age
62-64 eligible for reduced Social Security
benefits; 7962- Self-Employed Individual
Retirement Act (Keogh Act) passed; 7964 -
Civil Rights Act passed; 7965- Medicare
and Medicaid established; Older Americans
Act passed; 7967- Age Discrimination in
Employment Act passed
35 years old 45 years old 55 years old
45 years old 55 years old 65 years old
7980 - First AIDS case is reported to the
Centers for Disease Control and
Prevention
7989-Berlin Wall falls
7990-United States enters Persian Gulf War
7972 - Formula for Social Security cost-of-living
adjustment established; Social Security
Supplemental Security Income legislation
passed; 7974- Employee Retirement
Income Security Act (ERISA) passed;
IRAs established; 7975-Age Discrimin-
ation Act passed; 7978 - 401 (k)s establish-
ed
7983 - Social Security eligibility age increased
for full benefits; 7984 - Widows entitled
to pension benefits if spouse was vested
7986 - Mandatory retirement eliminated for
most workers; 7987- Reverse mortgage
market created by the HUD Home Equity
Conversion Program
7990 - Americans with Disabilities Act passed
55 years old 65 years old 75 years old
65 years old 75 years old 85 years old
2007 - September 11-Terrorists attack United
States
2003 - United States enters Iraq war
2007- Economic downturn begins
December 2007
2008 - First baby boomers begin to turn 62
years old and become eligible for
Social Security retired worker benefits
7996 -Veterans'Health Care Eligibility Reform Act
passed, creating access to community based
long-term care for all enrollees; 7997- Bal-
anced Budget Act passed changing Medi-
care payment policies;2000- Social Secur-
ity earnings test eliminated for full retire-
ment age;2003 - Medicare Modernization
Act passed
2005- Deficit Reduction Act passed realigning
Medicaid incentives to provide noninsti-
tutionalized long-term care;2006 - Medi-
care presciption drug benefit implemented;
Pension Protection Act passed
2070 - Patient Protection and Affordable
Care Act passed
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