SlideShare a Scribd company logo
Tables And Figures To Accompany
Prepared Testimony
Nicholas Eberstadt, Ph.D.
Henry Wendt Chair in Political Economy
American Enterprise Institute
<eberstadt@aei.org>

Committee on Health, Education, Labor and Pensions
Subcommittee on Primary Health and Aging
U.S. Senate
Washington, D.C.
November 20, 2013
Figure 1
Life Expectancy at Birth, USA vs. 23 Never-Communist
OECD countries, 1950-2011 (years)
85

Australia
Austria
Belgium

Canada
Chile
Denmark
Finland

80

France
Germany
Iceland

75

Ireland
Israel
Italy

70

Japan
Luxembourg
Netherlands

65

New Zealand
Norway
Portugal
Spain

60

Sweden

Switzerland
UK
55

USA

Source: Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany).
Available at www.mortality.org, Accessed November 15, 2013.
Figure 2
Infant Mortality Rate for the USA and 23 Never-Communist OECD
countries, 1950-2011 (deaths per 1000 births)
100

Australia
Austria
Belgium
Canada

90

Denmark
Finland

80

France
Germany

70

Iceland
Ireland

60

50

40

Israel
Italy
Japan
Luxembourg
Netherlands

30

New Zealand
Norway

20

Portugal
Spain

10

Sweden
Switzerland

0

UK

USA

Source: Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany).
Available at www.mortality.org, Accessed November 15, 2013.
Table 1
Socioeconomic Disparities and Mortality in the United States, by Ethnicity, c. 2010
Percent
Adults Age 25+
without High
school Degree
(2009)

Poverty Rate
(2010)
White, not
Hispanic

Asian Pacific

Gini Coefficient
for Family
Income (2010)

Percent with no
health insurance
(2010)

Age-Adjusted
Percentage of
Adults Age 18+
With no Health
Care Visits over
Previous 12
Months (2009)

Age standardized
mortality rate
(2008-2010)

Index of Age
Standardized
Mortality
2008-2010
(All = 100)

9.9

9.6

0.418

11.7

16.5

755.0

101

12.2

14.7

0.427

18.4

24.2

424.3

57

120

Black, not
Hispanic

27.4
(classified as
Black alone)

18.6

0.463

20.8

19.7

898.2
(classified as
Black or African
American)

Hispanic
(any race)

26.5

39.1

0.456

30.7

29.8

558.6

75

All

15.1

14.7

0.440

16.3

19.5

747.0

100

Sources: Poverty Rate: U.S. Census Bureau, Current Population Survey, 2011 Annual Social and Economic Supplements,

http://www.census.gov/hhes/www/cpstables/032011/pov/POV01_100.htm; Education: Camille L. Ryan and Julie Siebens, Educational attainment in
the United States: 2009, U.S. Census Bureau, Current Population Reports, P20-556 (February 2012), Table 1,
http://www.census.gov/prod/2012pubs/p20-566.pdf ; Gini coefficient for family income: U.S. Census Bureau, “Historical Income Tables: Income
Inequality”, Table F-4, http://www.census.gov/hhes/www/income/data/historical/inequality/ ; Health Insurance: Carmen DeNavas-Walt, Bernadetter
D. Proctor, Jessica C. Smith, U.S. Census Bureau, Current Population Reports, P60-239, Income, Poverty, and Health Insurance Coverage in the United
States: 2010, Figure 7 and Table 8, http://www.census.gov/prod/2011pubs/p60-239.pdf ; Health Care Use: Schiller JS, Lucas JW, Peregoy JA. Summary health
statistics for U.S. adults: National Health Interview Survey, 2011. National Center for Health Statistics. Vital Health Stat 10(256). 2012., Table 35,
http://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf ; Mortality: Centers for Disease Control/National Center for Health Statistics,
Health, United States, 2012, Table 20, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 . All Data Accessed November 15, 2013.
Figure 3
Age Standardized Mortality for Females by Ethnicity:
USA, 1980-2010
1,100.0

1,000.0

900.0

800.0

700.0

600.0

500.0

400.0

300.0

All

Black or African American

Asian or Pacific Islander

Hispanic or Latino

White, not Hispanic or Latino

Source: CDC/NCHS, National Vital Statistics System, Compressed Mortality File, See Appendix I, National Vital Statistics System (NVSS),
Health, United States, 2012, Table 25, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 , Accessed November 15, 2013
Figure 4
Age Standardized Mortality for Males by Ethnicity:
USA, 1980-2010
1,900.0

1,700.0

1,500.0

1,300.0

1,100.0

900.0

700.0

500.0

300.0
1980

1982
All

1984

1986

1988

Black or African American

1990

1992

1994

Asian or Pacific Islander

1996

1998

2000

Hispanic or Latino

2002

2004

2006

2008

White, not Hispanic or Latino

Source: CDC/NCHS, National Vital Statistics System, Compressed Mortality File, See Appendix I, National Vital Statistics System
(NVSS), Health, United States, 2012, Table 25, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 , Accessed November 15, 2013

2010
Figure 5
Life Expectancy at Birth in Los Angeles County by Ethnicity, 2001-2010
with 2010-12 Poverty Rate by Ethnicity

88

2010 Asian
Poverty Rate:
12.7%

86

2010 Hispanic
Poverty Rate:
23.7%

84

Life Expectancy

82

80

2010 White,
non Hispanic
Poverty Rate: 10.2%

78

76

2010 Black
Poverty Rate:
24.2%

74

72

70
2001

2002

Life Expectancy Legend:

2003

2004
Asian/Pacific Islander

2005

2006
Black

Hispanic

2007

2008

2009

White

Sources: Life expectancy dataset, County of Los Angeles, Department of Public
Health, https://dqs.publichealth.lacounty.gov/query.aspx?d=3, Accessed November 15, 2013;
Poverty Rate Statistics: Poverty Status in the Past (S1701): Los Angeles County, U.S. Census Bureau, American Community Survey, 2010-2012

2010
Figure 6
Life Expectancy at Birth by Race/Ethnicity in New York City, 2001-2010;
with Poverty Rate at 2010 by Ethnicity
2010 Hispanic
Poverty Rate
27.9%

2010
White, nonHispanic
Poverty Rate
12.1%

2010 Black
Poverty Rate
23.0%

Sources: NYC DOHMH Bureau of Vital statistics from Li W, Maduro G, Begier EM. Life Expectancy in New York City: What
Accounts for the Gains? New York City Department of Health and Mental Hygiene: Epi Research Report, March 2013; 1-12.
Poverty Rate Statistics: Poverty Status in the Past 12 months(S1701): New York City, New York, U.S. Census
Bureau, American Community Survey, 2010.
Figure 7
Age Standardized Mortality by Race/Ethnicity in New York City, 1990-2006;
with 2006 NYC poverty rate by ethnicity

2006 Black
21.4%
2006
White, nonHispanic
10.9%

2006
Hispanic
28.6%

2006
Asian
17.9%

Notes: Rates are age adjusted. Asian data prior to 1993 excluded due to changes in category definition.
Sources: US Census 1990 and 2006; NYC DOHMH neighborhood population estimates, 2000-2006; Bureau of Vital Statistics, NYC DOHMH, 1990-2006
from Myers C, Olson C, Kerker B, Thorpe L., Greene C., Farley T. Reducing Health Disparities in New York City: Health Disparities in Life Expectancy
and Death. New York: New York City Department of Health and Mental Hygiene, 2010. Poverty Rate Statistics: Poverty Status in the Past (S1701): New
York City, New York, U.S. Census Bureau, American Community Survey, 2005.
Figure 8

Source: Bureau of Vital Statistics, NYC DOHMH, and New York State Dept. Health Bureau of Biometrics, 2004-2006 combined; NYC neighborhood
population estimates, 2004-2006 combined from Myers C, Olson C, Kerker B, Thorpe L., Greene C., Farley T. Reducing Health Disparities in New York
City: Health Disparities in Life Expectancy and Death. New York: New York City Department of Health and Mental Hygiene, 2010.
Figure 9
Life Expectancy at Birth, 2007 in Years:
OECD Nations vs. African Americans by State
84
82

80
78
76
74

70

District of Columbia
West Virginia
Turkey
Louisiana
Arkansas
Mississippi
Estonia
Alabama
Nebraska
Oklahoma
Tennessee
Michigan
Missouri
Wisconsin
Illinois
Pennsylvania
South Carolina
Hungary
Kentucky
Ohio
Indiana
North Carolina
Kansas
Texas
United States
Georgia
Virginia
California
Iowa
Maryland
Slovakia
Poland
Minnesota
Nevada
New Jersey
Florida
Mexico
Delaware
Czech Republic
Slovenia
Washington
Chile
Connecticut
Arizona
Colorado
Portugal
Oregon
Denmark
Massachusetts
South Korea
New York
Finland
Rhode Island
Belgium
Luxembourg
Austria
Greece
United Kingdom
Ireland
Norway
Germany
New Zealand
Netherlands
Iceland
Israel
Sweden
Spain
France
Canada
Australia
Italy
Switzerland
Japan

72

Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex.
http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013)
US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council,
http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29
(Accessed: Jan. 9, 2013)
70
Turkey
Estonia
Hungary
Slovakia
West Virginia
Poland
Mexico
Oklahoma
Alabama
Mississippi
Kentucky
Nevada
Czech Republic
Arkansas
Slovenia
Louisiana
Tennessee
Chile
Georgia
South Carolina
Texas
Portugal
Indiana
Missouri
North Carolina
Wyoming
Denmark
Ohio
South Korea
Kansas
Maine
Finland
United States
New Mexico
Oregon
Pennsylvania
Delaware
Michigan
Montana
Belgium
Luxembourg
Maryland
Alaska
Idaho
Rhode Island
Virginia
Austria
Illinois
Greece
Nebraska
United Kingdom
California
New Hampshire
Vermont
Washington
Ireland
Florida
Norway
Iowa
New Jersey
Wisconsin
Germany
Colorado
Hawaii
Utah
New Zealand
Arizona
Massachusetts
Netherlands
Iceland
Connecticut
New York
Israel
Sweden
North Dakota
Spain
South Dakota
France
Canada
Minnesota
Australia
Italy
Switzerland
Japan
District of Columbia

Figure 10
Life Expectancy at Birth, 2007 in Years:
OECD Nations vs. White Americans by State

84

82

80

78

76

74

72

Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex.
http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013)
US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council,
http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29
(Accessed: Jan. 9, 2013)
90
88
86
84
82
80
78
76
74
72
70

Turkey
Estonia
Hungary
Slovakia
Poland
Mexico
Czech Republic
Slovenia
Chile
Hawaii
Portugal
Denmark
Mississippi
Alabama
Louisiana
South Korea
Oklahoma
Finland
New Mexico
Belgium
Luxembourg
Arkansas
Kentucky
Tennessee
Austria
Greece
United Kingdom
Ireland
South Carolina
Norway
Germany
Georgia
North Carolina
New Zealand
Netherlands
Missouri
Ohio
Iceland
Israel
Indiana
Sweden
Michigan
Colorado
Spain
Maryland
Pennsylvania
France
Canada
Delaware
Virginia
Texas
Arizona
Australia
Italy
Switzerland
Oregon
Rhode Island
Wisconsin
Iowa
Japan
Florida
Minnesota
United States
California
Connecticut
New York
Idaho
Utah
Nebraska
Kansas
Washington
New Jersey
Massachusetts
Illinois
Nevada

Figure 11
Life Expectancy at Birth, 2007 in Years:
OECD Nations vs. Hispanic Americans by State

Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex.
http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013)
US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council,
http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29
(Accessed: Jan. 9, 2013)
94
92
90
88
86
84
82
80
78
76
74
72
70

Turkey
Estonia
Hungary
Slovakia
Poland
Mexico
Czech Republic
Slovenia
Chile
Portugal
Denmark
South Korea
Finland
Belgium
Luxembourg
Austria
Greece
United Kingdom
Ireland
Norway
Germany
New Zealand
Netherlands
Iceland
Israel
Sweden
Spain
France
Canada
Australia
Italy
Switzerland
Hawaii
Oklahoma
Louisiana
Japan
Tennessee
South Carolina
North Carolina
Ohio
Missouri
Indiana
Kansas
Wisconsin
Minnesota
Utah
Florida
Oregon
California
Washington
United States
Nevada
Pennsylvania
Virginia
Texas
Georgia
Michigan
Maryland
New York
Illinois
Massachusetts
Colorado
New Jersey
Arizona
Connecticut

Figure 12
Life Expectancy at Birth, 2007 in Years:
OECD Nations vs. Asian Americans by State

Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex.
http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013)
US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council,
http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29
(Accessed: Jan. 9, 2013)
Figure 13
Infant Mortality Rate (2009) vs. Poverty Rate (2010):
US Native born vs. Foreign born mothers by ethnicity
14
Black
12

Infant Mortality Rate

10

8

Black
All

6

Hispanic

Asian
White

All
4

Asian

Hispanic

White

2

0
5

10

15

20

25

30

Poverty Rate

Native born mother

Foreign born mother

Source: Infant mortality rate: T.J. Mathews and Marian MacDorman, Infant Mortality Statistics From the 2009 Period Linked Birth/Infant Death Data
Set, National Vital Statistics Reports, Vol 61, No. 8, January 24, 2013, http://www.cdc.gov/nchs/data/nvsr/nvsr61/nvsr61_08.pdf.
Poverty Rate data: Center for Immigration Studies, “Poverty, Welfare, and the Uninsured,” Immigrants in the United States: A profile of America’s
Foreign born Population, Table 10, http://cis.org/node/3876#poverty, Accessed November 15, 2013.

35
Table 2
Infant Mortality Rate by Ethnicity, marital status, and education level,
2007-2009

8th grade
or less
Married
NonHispanic
Black

9th-12th
grade, no
diploma

High
school
graduate Some
or GED
college, no Bachelor's Master's
completes degree
degree
degree

Doctorate or
Professional
degree
Total

10.25

10.77

10.48

8.5

5.56

9.44

12.55

14.84

13.06

11.74

10.21

12.86

12.81

Married
NonHispanic
White

6.42

8.37

5.6

4.58

3.28

2.97

Unmarried
NonHispanic
White

8.43

10.03

7.53

5.66

5.66

Unmarried
NonHispanic
Black

3.58

4.24

7.13

Source: United States Department of Health and Human Services (US DHHS), Centers of Disease Control and Prevention (CDC), National Center for
Health Statistics (NCHS), Division of Vital Statistics (DVS), Linked Birth / Infant Death Records 2007-2009 on CDC WONDER On-line Database. Accessed
at http://wonder.cdc.gov/lbd-current.html on Nov 17, 2013
Figure 14
Gestational age-specific infant mortality rates,
United States vs. selected European countries, 2004
1,000.00

100.00

10.00

1.00
22–23 weeks
Scotland

Northern Ireland

24–27 weeks
Denmark

28–31 weeks
Finland

Austria

England and Wales

32–36 weeks
United States

37 and over
Norway

Sweden

Source: Marian MacDorman and T.J. Mathews, Behind international rankings of infant mortality: How the United States compares with
Europe, Table 2, International Journal of Health Services, Volume 40, Number 4, Pages 577–588, 2010.

More Related Content

Viewers also liked

MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
CongtyTNHHBaLoTuiXach
 
Lectura de un dato
Lectura de un datoLectura de un dato
Lectura de un datoprietoluu
 
Fast instalation software
Fast instalation softwareFast instalation software
Fast instalation software
Mamat Rahmat
 
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
Global Risk Forum GRFDavos
 
Uu no 2_th_2012 ttg tanah utk kepentingan umum
Uu no 2_th_2012 ttg tanah utk kepentingan umumUu no 2_th_2012 ttg tanah utk kepentingan umum
Uu no 2_th_2012 ttg tanah utk kepentingan umumaghaku
 
Perfect welding-solutions
Perfect welding-solutionsPerfect welding-solutions
Perfect welding-solutions
Perfect Welding Solutions
 
Making Your Mark on the World is Hard
Making Your Mark on the World is HardMaking Your Mark on the World is Hard
Making Your Mark on the World is Hard
Mark McKenzie, RHB
 
Cultural / Civic Entrepreneurs Forum:
 Cultural / Civic Entrepreneurs Forum: Cultural / Civic Entrepreneurs Forum:
Cultural / Civic Entrepreneurs Forum:
www.theurbanvision.com
 
Branco! 2013 予選課題
Branco! 2013 予選課題Branco! 2013 予選課題
Branco! 2013 予選課題
yuto0104
 
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
Global Risk Forum GRFDavos
 
Strategisch energiemanagement in de praktijk
Strategisch energiemanagement in de praktijkStrategisch energiemanagement in de praktijk
Strategisch energiemanagement in de praktijk
Lode Denecker
 
Gia sư văn 11
Gia sư văn 11Gia sư văn 11
Gia sư văn 11
CongtyTNHHBaLoTuiXach
 
How to Optimize Your Online Business with EV SSL - Infographic
How to Optimize Your Online Business with EV SSL - InfographicHow to Optimize Your Online Business with EV SSL - Infographic
How to Optimize Your Online Business with EV SSL - Infographic
The SSL Store™
 
4 Serious Reasons Conan O'Brien is an Influencer
4 Serious Reasons Conan O'Brien is an Influencer4 Serious Reasons Conan O'Brien is an Influencer
4 Serious Reasons Conan O'Brien is an Influencer
Mark McKenzie, RHB
 

Viewers also liked (16)

Компьютерные вирусы- асташенко
 Компьютерные вирусы- асташенко Компьютерные вирусы- асташенко
Компьютерные вирусы- асташенко
 
MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
MỘT SỐ PHƯƠNG PHÁP GIÚP HỌC SINH LỚP 8 HỌC MÔN ĐỊA LÝ HIỆU QUẢ.
 
Lectura de un dato
Lectura de un datoLectura de un dato
Lectura de un dato
 
Fast instalation software
Fast instalation softwareFast instalation software
Fast instalation software
 
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
How To Integrate Risk Perception Findings In Spatial And Temporal Risk Models...
 
Uu no 2_th_2012 ttg tanah utk kepentingan umum
Uu no 2_th_2012 ttg tanah utk kepentingan umumUu no 2_th_2012 ttg tanah utk kepentingan umum
Uu no 2_th_2012 ttg tanah utk kepentingan umum
 
Perfect welding-solutions
Perfect welding-solutionsPerfect welding-solutions
Perfect welding-solutions
 
Making Your Mark on the World is Hard
Making Your Mark on the World is HardMaking Your Mark on the World is Hard
Making Your Mark on the World is Hard
 
Cultural / Civic Entrepreneurs Forum:
 Cultural / Civic Entrepreneurs Forum: Cultural / Civic Entrepreneurs Forum:
Cultural / Civic Entrepreneurs Forum:
 
Branco! 2013 予選課題
Branco! 2013 予選課題Branco! 2013 予選課題
Branco! 2013 予選課題
 
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
Impact of Agricultural Activities On Karstic Aquifer Integrity And Possible I...
 
Class 17
Class 17Class 17
Class 17
 
Strategisch energiemanagement in de praktijk
Strategisch energiemanagement in de praktijkStrategisch energiemanagement in de praktijk
Strategisch energiemanagement in de praktijk
 
Gia sư văn 11
Gia sư văn 11Gia sư văn 11
Gia sư văn 11
 
How to Optimize Your Online Business with EV SSL - Infographic
How to Optimize Your Online Business with EV SSL - InfographicHow to Optimize Your Online Business with EV SSL - Infographic
How to Optimize Your Online Business with EV SSL - Infographic
 
4 Serious Reasons Conan O'Brien is an Influencer
4 Serious Reasons Conan O'Brien is an Influencer4 Serious Reasons Conan O'Brien is an Influencer
4 Serious Reasons Conan O'Brien is an Influencer
 

Similar to Senate HELP Testimony 11/20/13

Closing the Gap: Reducing Disparities & Achieving Health Equity
Closing the Gap: Reducing Disparities & Achieving Health EquityClosing the Gap: Reducing Disparities & Achieving Health Equity
Closing the Gap: Reducing Disparities & Achieving Health EquityNASHP HealthPolicy
 
Deaths of Despair: A Clarion Call for State Action
Deaths of Despair: A Clarion Call for State ActionDeaths of Despair: A Clarion Call for State Action
Deaths of Despair: A Clarion Call for State Action
The Commonwealth Fund
 
Diversity and Cultural Competency in Health Care Je.docx
 Diversity and Cultural Competency in Health Care     Je.docx Diversity and Cultural Competency in Health Care     Je.docx
Diversity and Cultural Competency in Health Care Je.docx
ShiraPrater50
 
Diversity and Cultural Competency in Health Care Je.docx
Diversity and Cultural Competency in Health Care     Je.docxDiversity and Cultural Competency in Health Care     Je.docx
Diversity and Cultural Competency in Health Care Je.docx
AASTHA76
 
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
Gaia Manco
 
Chris Snowdon's London SITP Slides
Chris Snowdon's London SITP SlidesChris Snowdon's London SITP Slides
Chris Snowdon's London SITP SlidesJames O'Malley
 
Community health
Community healthCommunity health
Community healthdeteezy
 
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
XhyelMart
 
David Melzer: Health care quality for an active later life
David Melzer: Health care quality for an active later lifeDavid Melzer: Health care quality for an active later life
David Melzer: Health care quality for an active later life
The King's Fund
 
Paho social inequities in the americas 2001 eng
Paho social inequities in the americas 2001 engPaho social inequities in the americas 2001 eng
Paho social inequities in the americas 2001 eng
Ramon Martinez
 
POSTER JORGE PRADA LA NAHN 2015
POSTER JORGE PRADA LA  NAHN 2015 POSTER JORGE PRADA LA  NAHN 2015
POSTER JORGE PRADA LA NAHN 2015 Jorge Prada
 
Social Determinants of Health
Social Determinants of HealthSocial Determinants of Health
Social Determinants of Health
Chad Leaman
 
TMIY - Becoming a Man after God's Own Heart - Week 11
TMIY - Becoming a Man after God's Own Heart - Week 11TMIY - Becoming a Man after God's Own Heart - Week 11
TMIY - Becoming a Man after God's Own Heart - Week 11PDEI
 
Isa Gender Neighborhood And Al 071310
Isa Gender Neighborhood And Al 071310Isa Gender Neighborhood And Al 071310
Isa Gender Neighborhood And Al 071310
Chloe Bird
 
Chapter15a
Chapter15aChapter15a
Chapter15aankit.rk
 
The predictive modeling approach on continuous statistics
The predictive modeling approach on continuous statisticsThe predictive modeling approach on continuous statistics
The predictive modeling approach on continuous statistics
Sergey Soshnikov
 

Similar to Senate HELP Testimony 11/20/13 (20)

Closing the Gap: Reducing Disparities & Achieving Health Equity
Closing the Gap: Reducing Disparities & Achieving Health EquityClosing the Gap: Reducing Disparities & Achieving Health Equity
Closing the Gap: Reducing Disparities & Achieving Health Equity
 
Deaths of Despair: A Clarion Call for State Action
Deaths of Despair: A Clarion Call for State ActionDeaths of Despair: A Clarion Call for State Action
Deaths of Despair: A Clarion Call for State Action
 
Diversity and Cultural Competency in Health Care Je.docx
 Diversity and Cultural Competency in Health Care     Je.docx Diversity and Cultural Competency in Health Care     Je.docx
Diversity and Cultural Competency in Health Care Je.docx
 
Diversity and Cultural Competency in Health Care Je.docx
Diversity and Cultural Competency in Health Care     Je.docxDiversity and Cultural Competency in Health Care     Je.docx
Diversity and Cultural Competency in Health Care Je.docx
 
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
‘Why Greater Equality Makes Societies Stronger’ Richard Wilkinson and Kate Pi...
 
Chris Snowdon's London SITP Slides
Chris Snowdon's London SITP SlidesChris Snowdon's London SITP Slides
Chris Snowdon's London SITP Slides
 
Community health
Community healthCommunity health
Community health
 
Poverty reduction, Charles Waldegrave
Poverty reduction, Charles WaldegravePoverty reduction, Charles Waldegrave
Poverty reduction, Charles Waldegrave
 
Bezruchka scoreboard
Bezruchka scoreboardBezruchka scoreboard
Bezruchka scoreboard
 
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
alan-cooperman-new-research-on-us-and-global-religious-identities-and-practic...
 
medicina
medicinamedicina
medicina
 
David Melzer: Health care quality for an active later life
David Melzer: Health care quality for an active later lifeDavid Melzer: Health care quality for an active later life
David Melzer: Health care quality for an active later life
 
Paho social inequities in the americas 2001 eng
Paho social inequities in the americas 2001 engPaho social inequities in the americas 2001 eng
Paho social inequities in the americas 2001 eng
 
POSTER JORGE PRADA LA NAHN 2015
POSTER JORGE PRADA LA  NAHN 2015 POSTER JORGE PRADA LA  NAHN 2015
POSTER JORGE PRADA LA NAHN 2015
 
Social Determinants of Health
Social Determinants of HealthSocial Determinants of Health
Social Determinants of Health
 
TMIY - Becoming a Man after God's Own Heart - Week 11
TMIY - Becoming a Man after God's Own Heart - Week 11TMIY - Becoming a Man after God's Own Heart - Week 11
TMIY - Becoming a Man after God's Own Heart - Week 11
 
Isa Gender Neighborhood And Al 071310
Isa Gender Neighborhood And Al 071310Isa Gender Neighborhood And Al 071310
Isa Gender Neighborhood And Al 071310
 
Chapter15a
Chapter15aChapter15a
Chapter15a
 
5th world orlando_v1.1
5th world orlando_v1.15th world orlando_v1.1
5th world orlando_v1.1
 
The predictive modeling approach on continuous statistics
The predictive modeling approach on continuous statisticsThe predictive modeling approach on continuous statistics
The predictive modeling approach on continuous statistics
 

More from AEI

#AEICakeWars
#AEICakeWars#AEICakeWars
#AEICakeWars
AEI
 
Beltway arithmetic: Political goals and quantitative analysis in energy and e...
Beltway arithmetic: Political goals and quantitative analysis in energy and e...Beltway arithmetic: Political goals and quantitative analysis in energy and e...
Beltway arithmetic: Political goals and quantitative analysis in energy and e...
AEI
 
Financial stability" Should we trust in central bank superheroes?
Financial stability" Should we trust in central bank superheroes?Financial stability" Should we trust in central bank superheroes?
Financial stability" Should we trust in central bank superheroes?
AEI
 
Life at AEI
Life at AEILife at AEI
Life at AEIAEI
 
AEI Alumni
AEI AlumniAEI Alumni
AEI AlumniAEI
 
The devolution of appraisal and underwriting theory and practice
The devolution of appraisal and underwriting theory and practiceThe devolution of appraisal and underwriting theory and practice
The devolution of appraisal and underwriting theory and practice
AEI
 
A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...
AEI
 
A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...
AEI
 
How to improve economic opportunity for women in the US
How to improve economic opportunity for women in the USHow to improve economic opportunity for women in the US
How to improve economic opportunity for women in the US
AEI
 
The state of housing finance in the United States
The state of housing finance in the United StatesThe state of housing finance in the United States
The state of housing finance in the United StatesAEI
 
Liquidity needs in the post crisis world and liquidity provision for bank res...
Liquidity needs in the post crisis world and liquidity provision for bank res...Liquidity needs in the post crisis world and liquidity provision for bank res...
Liquidity needs in the post crisis world and liquidity provision for bank res...AEI
 
Public and private issues in LTC financing for the elderly
Public and private issues in LTC financing for the elderlyPublic and private issues in LTC financing for the elderly
Public and private issues in LTC financing for the elderlyAEI
 
Happiness, free enterprise, and human flourishing: A special event featuring ...
Happiness, free enterprise, and human flourishing: A special event featuring ...Happiness, free enterprise, and human flourishing: A special event featuring ...
Happiness, free enterprise, and human flourishing: A special event featuring ...
AEI
 
The devolution of appraisal theory and practice
The devolution of appraisal theory and practiceThe devolution of appraisal theory and practice
The devolution of appraisal theory and practice
AEI
 
The great housing boom and bust: Lessons learned
The great housing boom and bust: Lessons learnedThe great housing boom and bust: Lessons learned
The great housing boom and bust: Lessons learned
AEI
 
Housing risk briefing_012714
Housing risk briefing_012714Housing risk briefing_012714
Housing risk briefing_012714
AEI
 
Poll: Tech policy predictions for 2014
Poll: Tech policy predictions for 2014Poll: Tech policy predictions for 2014
Poll: Tech policy predictions for 2014
AEI
 
AEI's International Center on Housing Risk Briefing Presentation
AEI's International Center on Housing Risk Briefing PresentationAEI's International Center on Housing Risk Briefing Presentation
AEI's International Center on Housing Risk Briefing Presentation
AEI
 
The FHA does not produce sustainable homeownership
The FHA does not produce sustainable homeownershipThe FHA does not produce sustainable homeownership
The FHA does not produce sustainable homeownership
AEI
 
Breakthrough Leadership in the Digital Age
Breakthrough Leadership in the Digital AgeBreakthrough Leadership in the Digital Age
Breakthrough Leadership in the Digital Age
AEI
 

More from AEI (20)

#AEICakeWars
#AEICakeWars#AEICakeWars
#AEICakeWars
 
Beltway arithmetic: Political goals and quantitative analysis in energy and e...
Beltway arithmetic: Political goals and quantitative analysis in energy and e...Beltway arithmetic: Political goals and quantitative analysis in energy and e...
Beltway arithmetic: Political goals and quantitative analysis in energy and e...
 
Financial stability" Should we trust in central bank superheroes?
Financial stability" Should we trust in central bank superheroes?Financial stability" Should we trust in central bank superheroes?
Financial stability" Should we trust in central bank superheroes?
 
Life at AEI
Life at AEILife at AEI
Life at AEI
 
AEI Alumni
AEI AlumniAEI Alumni
AEI Alumni
 
The devolution of appraisal and underwriting theory and practice
The devolution of appraisal and underwriting theory and practiceThe devolution of appraisal and underwriting theory and practice
The devolution of appraisal and underwriting theory and practice
 
A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...
 
A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...A straight, broad highway to building wealth for middle and working class fam...
A straight, broad highway to building wealth for middle and working class fam...
 
How to improve economic opportunity for women in the US
How to improve economic opportunity for women in the USHow to improve economic opportunity for women in the US
How to improve economic opportunity for women in the US
 
The state of housing finance in the United States
The state of housing finance in the United StatesThe state of housing finance in the United States
The state of housing finance in the United States
 
Liquidity needs in the post crisis world and liquidity provision for bank res...
Liquidity needs in the post crisis world and liquidity provision for bank res...Liquidity needs in the post crisis world and liquidity provision for bank res...
Liquidity needs in the post crisis world and liquidity provision for bank res...
 
Public and private issues in LTC financing for the elderly
Public and private issues in LTC financing for the elderlyPublic and private issues in LTC financing for the elderly
Public and private issues in LTC financing for the elderly
 
Happiness, free enterprise, and human flourishing: A special event featuring ...
Happiness, free enterprise, and human flourishing: A special event featuring ...Happiness, free enterprise, and human flourishing: A special event featuring ...
Happiness, free enterprise, and human flourishing: A special event featuring ...
 
The devolution of appraisal theory and practice
The devolution of appraisal theory and practiceThe devolution of appraisal theory and practice
The devolution of appraisal theory and practice
 
The great housing boom and bust: Lessons learned
The great housing boom and bust: Lessons learnedThe great housing boom and bust: Lessons learned
The great housing boom and bust: Lessons learned
 
Housing risk briefing_012714
Housing risk briefing_012714Housing risk briefing_012714
Housing risk briefing_012714
 
Poll: Tech policy predictions for 2014
Poll: Tech policy predictions for 2014Poll: Tech policy predictions for 2014
Poll: Tech policy predictions for 2014
 
AEI's International Center on Housing Risk Briefing Presentation
AEI's International Center on Housing Risk Briefing PresentationAEI's International Center on Housing Risk Briefing Presentation
AEI's International Center on Housing Risk Briefing Presentation
 
The FHA does not produce sustainable homeownership
The FHA does not produce sustainable homeownershipThe FHA does not produce sustainable homeownership
The FHA does not produce sustainable homeownership
 
Breakthrough Leadership in the Digital Age
Breakthrough Leadership in the Digital AgeBreakthrough Leadership in the Digital Age
Breakthrough Leadership in the Digital Age
 

Recently uploaded

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
KAMESHS29
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
nkrafacyberclub
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Neo4j
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
DianaGray10
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Vladimir Iglovikov, Ph.D.
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems S.M.S.A.
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 

Recently uploaded (20)

GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
RESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for studentsRESUME BUILDER APPLICATION Project for students
RESUME BUILDER APPLICATION Project for students
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptxSecstrike : Reverse Engineering & Pwnable tools for CTF.pptx
Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx
 
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIEnchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
 
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdfUni Systems Copilot event_05062024_C.Vlachos.pdf
Uni Systems Copilot event_05062024_C.Vlachos.pdf
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 

Senate HELP Testimony 11/20/13

  • 1. Tables And Figures To Accompany Prepared Testimony Nicholas Eberstadt, Ph.D. Henry Wendt Chair in Political Economy American Enterprise Institute <eberstadt@aei.org> Committee on Health, Education, Labor and Pensions Subcommittee on Primary Health and Aging U.S. Senate Washington, D.C. November 20, 2013
  • 2. Figure 1 Life Expectancy at Birth, USA vs. 23 Never-Communist OECD countries, 1950-2011 (years) 85 Australia Austria Belgium Canada Chile Denmark Finland 80 France Germany Iceland 75 Ireland Israel Italy 70 Japan Luxembourg Netherlands 65 New Zealand Norway Portugal Spain 60 Sweden Switzerland UK 55 USA Source: Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org, Accessed November 15, 2013.
  • 3. Figure 2 Infant Mortality Rate for the USA and 23 Never-Communist OECD countries, 1950-2011 (deaths per 1000 births) 100 Australia Austria Belgium Canada 90 Denmark Finland 80 France Germany 70 Iceland Ireland 60 50 40 Israel Italy Japan Luxembourg Netherlands 30 New Zealand Norway 20 Portugal Spain 10 Sweden Switzerland 0 UK USA Source: Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org, Accessed November 15, 2013.
  • 4. Table 1 Socioeconomic Disparities and Mortality in the United States, by Ethnicity, c. 2010 Percent Adults Age 25+ without High school Degree (2009) Poverty Rate (2010) White, not Hispanic Asian Pacific Gini Coefficient for Family Income (2010) Percent with no health insurance (2010) Age-Adjusted Percentage of Adults Age 18+ With no Health Care Visits over Previous 12 Months (2009) Age standardized mortality rate (2008-2010) Index of Age Standardized Mortality 2008-2010 (All = 100) 9.9 9.6 0.418 11.7 16.5 755.0 101 12.2 14.7 0.427 18.4 24.2 424.3 57 120 Black, not Hispanic 27.4 (classified as Black alone) 18.6 0.463 20.8 19.7 898.2 (classified as Black or African American) Hispanic (any race) 26.5 39.1 0.456 30.7 29.8 558.6 75 All 15.1 14.7 0.440 16.3 19.5 747.0 100 Sources: Poverty Rate: U.S. Census Bureau, Current Population Survey, 2011 Annual Social and Economic Supplements, http://www.census.gov/hhes/www/cpstables/032011/pov/POV01_100.htm; Education: Camille L. Ryan and Julie Siebens, Educational attainment in the United States: 2009, U.S. Census Bureau, Current Population Reports, P20-556 (February 2012), Table 1, http://www.census.gov/prod/2012pubs/p20-566.pdf ; Gini coefficient for family income: U.S. Census Bureau, “Historical Income Tables: Income Inequality”, Table F-4, http://www.census.gov/hhes/www/income/data/historical/inequality/ ; Health Insurance: Carmen DeNavas-Walt, Bernadetter D. Proctor, Jessica C. Smith, U.S. Census Bureau, Current Population Reports, P60-239, Income, Poverty, and Health Insurance Coverage in the United States: 2010, Figure 7 and Table 8, http://www.census.gov/prod/2011pubs/p60-239.pdf ; Health Care Use: Schiller JS, Lucas JW, Peregoy JA. Summary health statistics for U.S. adults: National Health Interview Survey, 2011. National Center for Health Statistics. Vital Health Stat 10(256). 2012., Table 35, http://www.cdc.gov/nchs/data/series/sr_10/sr10_256.pdf ; Mortality: Centers for Disease Control/National Center for Health Statistics, Health, United States, 2012, Table 20, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 . All Data Accessed November 15, 2013.
  • 5. Figure 3 Age Standardized Mortality for Females by Ethnicity: USA, 1980-2010 1,100.0 1,000.0 900.0 800.0 700.0 600.0 500.0 400.0 300.0 All Black or African American Asian or Pacific Islander Hispanic or Latino White, not Hispanic or Latino Source: CDC/NCHS, National Vital Statistics System, Compressed Mortality File, See Appendix I, National Vital Statistics System (NVSS), Health, United States, 2012, Table 25, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 , Accessed November 15, 2013
  • 6. Figure 4 Age Standardized Mortality for Males by Ethnicity: USA, 1980-2010 1,900.0 1,700.0 1,500.0 1,300.0 1,100.0 900.0 700.0 500.0 300.0 1980 1982 All 1984 1986 1988 Black or African American 1990 1992 1994 Asian or Pacific Islander 1996 1998 2000 Hispanic or Latino 2002 2004 2006 2008 White, not Hispanic or Latino Source: CDC/NCHS, National Vital Statistics System, Compressed Mortality File, See Appendix I, National Vital Statistics System (NVSS), Health, United States, 2012, Table 25, http://www.cdc.gov/nchs/hus/contents2012.htm#fig01 , Accessed November 15, 2013 2010
  • 7. Figure 5 Life Expectancy at Birth in Los Angeles County by Ethnicity, 2001-2010 with 2010-12 Poverty Rate by Ethnicity 88 2010 Asian Poverty Rate: 12.7% 86 2010 Hispanic Poverty Rate: 23.7% 84 Life Expectancy 82 80 2010 White, non Hispanic Poverty Rate: 10.2% 78 76 2010 Black Poverty Rate: 24.2% 74 72 70 2001 2002 Life Expectancy Legend: 2003 2004 Asian/Pacific Islander 2005 2006 Black Hispanic 2007 2008 2009 White Sources: Life expectancy dataset, County of Los Angeles, Department of Public Health, https://dqs.publichealth.lacounty.gov/query.aspx?d=3, Accessed November 15, 2013; Poverty Rate Statistics: Poverty Status in the Past (S1701): Los Angeles County, U.S. Census Bureau, American Community Survey, 2010-2012 2010
  • 8. Figure 6 Life Expectancy at Birth by Race/Ethnicity in New York City, 2001-2010; with Poverty Rate at 2010 by Ethnicity 2010 Hispanic Poverty Rate 27.9% 2010 White, nonHispanic Poverty Rate 12.1% 2010 Black Poverty Rate 23.0% Sources: NYC DOHMH Bureau of Vital statistics from Li W, Maduro G, Begier EM. Life Expectancy in New York City: What Accounts for the Gains? New York City Department of Health and Mental Hygiene: Epi Research Report, March 2013; 1-12. Poverty Rate Statistics: Poverty Status in the Past 12 months(S1701): New York City, New York, U.S. Census Bureau, American Community Survey, 2010.
  • 9. Figure 7 Age Standardized Mortality by Race/Ethnicity in New York City, 1990-2006; with 2006 NYC poverty rate by ethnicity 2006 Black 21.4% 2006 White, nonHispanic 10.9% 2006 Hispanic 28.6% 2006 Asian 17.9% Notes: Rates are age adjusted. Asian data prior to 1993 excluded due to changes in category definition. Sources: US Census 1990 and 2006; NYC DOHMH neighborhood population estimates, 2000-2006; Bureau of Vital Statistics, NYC DOHMH, 1990-2006 from Myers C, Olson C, Kerker B, Thorpe L., Greene C., Farley T. Reducing Health Disparities in New York City: Health Disparities in Life Expectancy and Death. New York: New York City Department of Health and Mental Hygiene, 2010. Poverty Rate Statistics: Poverty Status in the Past (S1701): New York City, New York, U.S. Census Bureau, American Community Survey, 2005.
  • 10. Figure 8 Source: Bureau of Vital Statistics, NYC DOHMH, and New York State Dept. Health Bureau of Biometrics, 2004-2006 combined; NYC neighborhood population estimates, 2004-2006 combined from Myers C, Olson C, Kerker B, Thorpe L., Greene C., Farley T. Reducing Health Disparities in New York City: Health Disparities in Life Expectancy and Death. New York: New York City Department of Health and Mental Hygiene, 2010.
  • 11. Figure 9 Life Expectancy at Birth, 2007 in Years: OECD Nations vs. African Americans by State 84 82 80 78 76 74 70 District of Columbia West Virginia Turkey Louisiana Arkansas Mississippi Estonia Alabama Nebraska Oklahoma Tennessee Michigan Missouri Wisconsin Illinois Pennsylvania South Carolina Hungary Kentucky Ohio Indiana North Carolina Kansas Texas United States Georgia Virginia California Iowa Maryland Slovakia Poland Minnesota Nevada New Jersey Florida Mexico Delaware Czech Republic Slovenia Washington Chile Connecticut Arizona Colorado Portugal Oregon Denmark Massachusetts South Korea New York Finland Rhode Island Belgium Luxembourg Austria Greece United Kingdom Ireland Norway Germany New Zealand Netherlands Iceland Israel Sweden Spain France Canada Australia Italy Switzerland Japan 72 Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex. http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013) US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council, http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29 (Accessed: Jan. 9, 2013)
  • 12. 70 Turkey Estonia Hungary Slovakia West Virginia Poland Mexico Oklahoma Alabama Mississippi Kentucky Nevada Czech Republic Arkansas Slovenia Louisiana Tennessee Chile Georgia South Carolina Texas Portugal Indiana Missouri North Carolina Wyoming Denmark Ohio South Korea Kansas Maine Finland United States New Mexico Oregon Pennsylvania Delaware Michigan Montana Belgium Luxembourg Maryland Alaska Idaho Rhode Island Virginia Austria Illinois Greece Nebraska United Kingdom California New Hampshire Vermont Washington Ireland Florida Norway Iowa New Jersey Wisconsin Germany Colorado Hawaii Utah New Zealand Arizona Massachusetts Netherlands Iceland Connecticut New York Israel Sweden North Dakota Spain South Dakota France Canada Minnesota Australia Italy Switzerland Japan District of Columbia Figure 10 Life Expectancy at Birth, 2007 in Years: OECD Nations vs. White Americans by State 84 82 80 78 76 74 72 Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex. http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013) US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council, http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29 (Accessed: Jan. 9, 2013)
  • 13. 90 88 86 84 82 80 78 76 74 72 70 Turkey Estonia Hungary Slovakia Poland Mexico Czech Republic Slovenia Chile Hawaii Portugal Denmark Mississippi Alabama Louisiana South Korea Oklahoma Finland New Mexico Belgium Luxembourg Arkansas Kentucky Tennessee Austria Greece United Kingdom Ireland South Carolina Norway Germany Georgia North Carolina New Zealand Netherlands Missouri Ohio Iceland Israel Indiana Sweden Michigan Colorado Spain Maryland Pennsylvania France Canada Delaware Virginia Texas Arizona Australia Italy Switzerland Oregon Rhode Island Wisconsin Iowa Japan Florida Minnesota United States California Connecticut New York Idaho Utah Nebraska Kansas Washington New Jersey Massachusetts Illinois Nevada Figure 11 Life Expectancy at Birth, 2007 in Years: OECD Nations vs. Hispanic Americans by State Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex. http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013) US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council, http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29 (Accessed: Jan. 9, 2013)
  • 14. 94 92 90 88 86 84 82 80 78 76 74 72 70 Turkey Estonia Hungary Slovakia Poland Mexico Czech Republic Slovenia Chile Portugal Denmark South Korea Finland Belgium Luxembourg Austria Greece United Kingdom Ireland Norway Germany New Zealand Netherlands Iceland Israel Sweden Spain France Canada Australia Italy Switzerland Hawaii Oklahoma Louisiana Japan Tennessee South Carolina North Carolina Ohio Missouri Indiana Kansas Wisconsin Minnesota Utah Florida Oregon California Washington United States Nevada Pennsylvania Virginia Texas Georgia Michigan Maryland New York Illinois Massachusetts Colorado New Jersey Arizona Connecticut Figure 12 Life Expectancy at Birth, 2007 in Years: OECD Nations vs. Asian Americans by State Source: OECD Data: United States Census Bureau. International Programs. International Data Base. Mortality Indicators by Sex. http://www.census.gov/population/international/data/idb/informationGateway.php (Accessed: November 17, 2013) US Data: HD Index and Supplemental Indicators By State, 2010-11 Dataset, Measure of America, Social Science Research Council, http://measureofamerica.org/maps/?area=States&race=All&sex=All&year=Year2010&index=Life%20Expectancy%20at%20Birth%20%28years%29 (Accessed: Jan. 9, 2013)
  • 15. Figure 13 Infant Mortality Rate (2009) vs. Poverty Rate (2010): US Native born vs. Foreign born mothers by ethnicity 14 Black 12 Infant Mortality Rate 10 8 Black All 6 Hispanic Asian White All 4 Asian Hispanic White 2 0 5 10 15 20 25 30 Poverty Rate Native born mother Foreign born mother Source: Infant mortality rate: T.J. Mathews and Marian MacDorman, Infant Mortality Statistics From the 2009 Period Linked Birth/Infant Death Data Set, National Vital Statistics Reports, Vol 61, No. 8, January 24, 2013, http://www.cdc.gov/nchs/data/nvsr/nvsr61/nvsr61_08.pdf. Poverty Rate data: Center for Immigration Studies, “Poverty, Welfare, and the Uninsured,” Immigrants in the United States: A profile of America’s Foreign born Population, Table 10, http://cis.org/node/3876#poverty, Accessed November 15, 2013. 35
  • 16. Table 2 Infant Mortality Rate by Ethnicity, marital status, and education level, 2007-2009 8th grade or less Married NonHispanic Black 9th-12th grade, no diploma High school graduate Some or GED college, no Bachelor's Master's completes degree degree degree Doctorate or Professional degree Total 10.25 10.77 10.48 8.5 5.56 9.44 12.55 14.84 13.06 11.74 10.21 12.86 12.81 Married NonHispanic White 6.42 8.37 5.6 4.58 3.28 2.97 Unmarried NonHispanic White 8.43 10.03 7.53 5.66 5.66 Unmarried NonHispanic Black 3.58 4.24 7.13 Source: United States Department of Health and Human Services (US DHHS), Centers of Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), Division of Vital Statistics (DVS), Linked Birth / Infant Death Records 2007-2009 on CDC WONDER On-line Database. Accessed at http://wonder.cdc.gov/lbd-current.html on Nov 17, 2013
  • 17. Figure 14 Gestational age-specific infant mortality rates, United States vs. selected European countries, 2004 1,000.00 100.00 10.00 1.00 22–23 weeks Scotland Northern Ireland 24–27 weeks Denmark 28–31 weeks Finland Austria England and Wales 32–36 weeks United States 37 and over Norway Sweden Source: Marian MacDorman and T.J. Mathews, Behind international rankings of infant mortality: How the United States compares with Europe, Table 2, International Journal of Health Services, Volume 40, Number 4, Pages 577–588, 2010.