West Virginia State Chartbook

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West VirginiaSHAP Grantee Chartbook

Health Insurance Coverage Estimatesfrom the 2008 American Community Survey (ACS)

Prepared for:

State Health Access Program (SHAP)

Last Updated: July 21, 2010


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July 21, 2010 www.shadac.org i

West Virginia SHAP Grantee Chartbook

This chartbook was prepared for the U.S. Department of Health and Human Services Health

Resources and Services Administrations State Health Access Program (SHAP) by the State

Health Access Data Assistance Center (SHADAC).

5600 Fishers Lane

Rockville, MD 20857

HRSA Contact Person

Michelle Herzog

Ph. 301-443-0650

[email protected]

2221 University Ave SE, Suite 345

Minneapolis, MN 55414

Ph. 612-624-4802

Fax. 612-624-1493

[email protected]

www.shadac.org/shap

West Virginia SHAP Grantee Organization:West Virginia Department of Health and Human Resources

Office of the Secretary

Project Liaison

Gerald Roueche

Ph. 304-558-0684

Email. [email protected]
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


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July 21, 2010 www.shadac.org ii


Table of Contents Page

Introduction .................................................................................................................................................. 1

Summary Statistics ........................................................................................................................................ 1

Exhibit 1: Any Source of Health Insurance Coverage by Poverty Level, Age 0-64, ACS 2008 .................. 1

Maps and Data Tables ................................................................................................................................... 2

Exhibit 2.1: Sub-State Uninsurance Estimates, Age 0-64, ACS 2008 ....................................................... 3

Exhibit 2.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-64, ACS 2008 .......... 4

Exhibit 2.3: Sub-State Uninsurance Estimates, Age 0-64,


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July 21, 2010 www.shadac.org 1


Introduction

This chartbook of health insurance coverage estimates is designed to be an easily accessed resource for

State Health Access Program (SHAP) grantees. Estimates for key population groups within your state

are provided in summary map format, with detailed tables for reference. Data provided in thischartbook are from the 2008 American Community Survey (ACS).

Your chartbook includes the following information for your state:

Maps of uninsurance estimates for children and adults, as well as children and adults under200% FPL

Tables of health insurance coverage estimates for the above mentioned population groups, withvariance information

County-level estimates of uninsurance Demographic profiles of state populations

Summary Statistics

Any source of health insurance coverage for West Virginia is shown in Exhibit 1. In 2008, 81.9% of the

total population age 0-64 had health insurance coverage. Nearly two thirds (65.1%) had private

coverage, while 21.4% reported having government coverage. This is in contrast to individuals under

200% of the Federal Poverty Level (FPL), of which only 69.0% had insurance, with 32.7% having private

coverage, and 40.8% having government coverage.

Exhibit 1: Any Source of Health Insurance Coverage by Poverty Level, Age 0-64, ACS 2008

Source: U.S. Census Bureau, 2008 American Community Survey.

Note: Those who report multiple types of insurance coverage (i.e., private or public) are included

in each category; therefore, totals may add to more than 100 percent.

18.1%

81.9%

65.1%

21.4%

31.0%

69.0%

32.7%

40.8%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

Uninsured Insured Private Coverage Government

Coverage

Total < 200% FPL


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Maps and Data Tables

Detailed uninsurance estimates begin with Exhibit 2.1. Each subpopulation is shown as a map, followed

by a detailed table. The estimates in the tables provide percent and standard error (for calculation of

confidence intervals). Additional subgroup estimates are available upon request.


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Exhibit 2.1: Sub-State Uninsurance Estimates, Age 0-64, ACS 2008


* Statistically different from the state uninsurance estimate for people age 0-64 (18.1%).

Note: Sub-state estimates are typically collections of counties and reflect the lowest level of geography available for a single

year of ACS data.


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Exhibit 2.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-64, ACS 2008

Definitions: % = Percent; SE = Standard Error

Note: Counts are presented in thousands.


Population Uninsured Insured PrivateCoverage

GovernmentCoverage

(000) % SE % SE % SE % SE

Race and Ethnic i ty

Hispanic 19 33.1 8.93 66.9 8.93 53.0 8.49 20.3 5.55

White Alone 1,412 17.8 0.53 82.2 0.53 65.9 0.78 20.9 0.56

Black Alone 52 21.0 2.97 79.0 2.97 53.4 4.43 30.6 3.71

Asian Alone 8 20.6 5.89 79.4 5.89 74.0 6.87 5.3 2.66

Mult ip le/other

non-Hispanic27 16.1 2.77 83.9 2.77 49.8 4.96 37.6 4.70

Tota l 1,518 18.1 0.52 81.9 0.52 65.1 0.77 21.4 0.55

Ag e0-18 403 7.2 0.70 92.8 0.70 60.4 1.38 36.1 1.34

19-24 138 34.1 1.91 65.9 1.91 56.3 2.06 11.1 1.18

25-44 456 27.7 1.05 72.3 1.05 62.9 1.12 11.6 0.68

45-64 520 13.9 0.65 86.1 0.65 72.8 0.84 21.4 0.70

Tota l 1,518 18.1 0.52 81.9 0.52 65.1 0.77 21.4 0.55

Poverty Level

0 -99% FPL 266 34.1 1.44 65.9 1.44 19.4 1.28 50.5 1.50

100-199% FPL 305 28.3 1.24 71.7 1.24 44.3 1.73 32.3 1.26

200-399% FPL 497 13.6 0.84 86.4 0.84 79.6 1.07 12.0 0.74

400%+ FPL 427 6.6 0.61 93.4 0.61 91.3 0.74 6.3 0.52

Tota l 1,495 18.3 0.53 81.7 0.53 65.0 0.77 21.4 0.56

Se x

Male 756 17.9 0.62 82.1 0.62 65.0 0.87 23.0 0.71

Female 761 18.3 0.64 81.7 0.64 65.1 0.88 19.9 0.65

Tota l 1,518 18.1 0.52 81.9 0.52 65.1 0.77 21.4 0.55

Work Status

Not work ing 303 21.2 0.97 78.8 0.97 46.4 1.23 43.3 1.15

Part -t ime 164 33.0 1.59 67.0 1.59 58.3 1.67 11.5 1.03

Ful l - t ime 673 19.3 0.71 80.7 0.71 78.2 0.74 5.2 0.34

Tota l 1,140 21.8 0.60 78.2 0.60 66.9 0.71 16.3 0.46


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Exhibit 2.4: Demographic Profile by Source of Health Insurance Coverage,

Age 0-64,


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Exhibit 2.5: Sub-State Uninsurance Estimates, Age 0-64 by Federal Poverty Level (FPL), ACS 2008


Note: Sub-state estimates are typically collections of counties and reflect the lowest level of geography available for a single year of

ACS data.

* Statistically different from the state uninsurance estimate for population group (Age 0-64, 18.1%; Age 0-64


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year of ACS data.


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*Sample size for this subpopulation is not sufficient to provide an estimate.



GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 8 24.6 11.57 75.4 11.57 53.2 11.23 28.5 9.57

White Alone 367 7.1 0.70 92.9 0.70 61.6 1.43 35.2 1.38

Black Alone 14 2.6 1.55 97.4 1.55 49.3 8.23 52.3 8.37

Asian Alone* 1 -- -- -- -- -- -- -- --

Mult ip le/other

non-Hispanic13 4.3 2.06 95.7 2.06 43.0 7.15 52.7 7.20

Tota l 403 7.2 0.70 92.8 0.70 60.4 1.38 36.1 1.34

Ag e0-18 403 7.2 0.70 92.8 0.70 60.4 1.38 36.1 1.34

19-24 -- -- -- -- -- -- -- -- --

25-44 -- -- -- -- -- -- -- -- --

45-64 -- -- -- -- -- -- -- -- --

Tota l 403 7.2 0.70 92.8 0.70 60.4 1.38 36.1 1.34

Poverty Level

0 -99% FPL 86 10.7 2.10 89.3 2.10 16.6 2.07 78.2 2.49

100-199% FPL 96 9.4 1.40 90.6 1.40 43.6 2.88 51.5 2.88

200-399% FPL 135 6.9 1.17 93.1 1.17 81.8 1.84 14.3 1.63

400%+ FPL 74 1.7 0.64 98.3 0.64 95.2 1.06 5.7 1.35

Tota l 391 7.4 0.72 92.6 0.72 60.6 1.40 35.9 1.36

Se x

Male 208 6.0 0.82 94.0 0.82 61.2 1.70 36.6 1.68

Female 195 8.4 0.94 91.6 0.94 59.6 1.69 35.7 1.62

Tota l 403 7.2 0.70 92.8 0.70 60.4 1.38 36.1 1.34

Work Status

Not work ing 11 7.9 2.70 92.1 2.70 63.0 6.14 34.8 6.13

Part -t ime 10 7.8 3.31 92.2 3.31 83.7 4.26 8.5 2.88

Ful l - t ime* 4 -- -- -- -- -- -- -- --

Tota l 25 8.5 1.97 91.5 1.97 72.7 3.72 21.7 3.52


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Age 0-18,


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ACS data.



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year of ACS data.


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GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 10 39.8 9.00 60.2 9.00 52.8 8.39 13.9 4.53

White Alone 1,046 21.6 0.62 78.4 0.62 67.4 0.73 15.9 0.47

Black Alone 38 27.6 3.79 72.4 3.79 54.9 4.26 22.8 3.30

Asian Alone 7 22.3 6.47 77.7 6.47 75.0 6.80 2.7 1.81

Mult ip le/other

non-Hispanic14 27.8 4.80 72.2 4.80 56.5 5.54 22.7 4.40

Tota l 1,115 22.1 0.61 77.9 0.61 66.7 0.71 16.1 0.46

Ag e0-18 -- -- -- -- -- -- -- -- --

19-24 138 34.1 1.91 65.9 1.91 56.3 2.06 11.1 1.18

25-44 456 27.7 1.05 72.3 1.05 62.9 1.12 11.6 0.68

45-64 520 13.9 0.65 86.1 0.65 72.8 0.84 21.4 0.70

Tota l 1,115 22.1 0.61 77.9 0.61 66.7 0.71 16.1 0.46

Poverty Level

0 -99% FPL 180 45.4 1.68 54.6 1.68 20.7 1.39 37.2 1.55

100-199% FPL 209 37.0 1.54 63.0 1.54 44.6 1.68 23.5 1.21

200-399% FPL 362 16.1 0.91 83.9 0.91 78.7 1.03 11.2 0.68

400%+ FPL 353 7.7 0.68 92.3 0.68 90.5 0.80 6.5 0.51

Tota l 1,103 22.1 0.61 77.9 0.61 66.6 0.72 16.3 0.47

Se x

Male 548 22.4 0.74 77.6 0.74 66.4 0.85 17.9 0.65

Female 566 21.7 0.73 78.3 0.73 67.0 0.84 14.4 0.57

Tota l 1,115 22.1 0.61 77.9 0.61 66.7 0.71 16.1 0.46

Work Status

Not work ing 292 21.7 0.99 78.3 0.99 45.7 1.24 43.7 1.16

Part -t ime 154 34.7 1.65 65.3 1.65 56.6 1.71 11.7 1.08

Ful l - t ime 669 19.3 0.71 80.7 0.71 78.2 0.75 5.2 0.34

Tota l 1,115 22.1 0.61 77.9 0.61 66.7 0.71 16.1 0.46


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Age 19-64,


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ACS data.



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Appendix A. Technical Assistance Available from SHADAC

SHADAC has a contract with Health Resources and Services Administration (HRSA) at Health and Human

Services (HHS) to provide technical assistance to states that have received State Health Access Program

(SHAP) grants. This includes support for data collection, analysis and evaluation related to their SHAP

project work. A summary of assistance is provided below. Questions and requests can be directed to

Elizabeth Lukanen at 612-626-1537 [email protected].

Data Assistance

Several SHADAC resources are available to help SHAP grantees access and utilize data relating to health

insurance coverage estimates, access to care, and understanding available data-specific technical

assistance resources. Resources include: SHADACs Data Center, an online table and chart generator;

issue briefs and technical briefs; and information on how to access microdata.

Web page: http://www.shadac.org/shap/technical-assistance/data

HRSA Benchmarks

SHADAC will also assist states in reporting HSRA benchmark data.

Web page: http://www.shadac.org/shap/technical-assistance/HRSA-Benchmarks

Evaluation

SHADAC staff are available to help SHAP grantees refine and implement evaluation plans, to ensure the

fidelity and success of SHAP-funded programs.

Web page: http://www.shadac.org/shap/technical-assistance/evaluations

Surveys

SHADAC has a variety of resources to help SHAP grantees conduct survey research and apply the results

to relevant audiences. SHADACs technical assistance can facilitate the sharing of information and

expertise among grantees, help policy makers understand the unique characteristics of state sub-

populations, and provide assistance in developing survey tools and methods.

Web page: http://www.shadac.org/shap/technical-assistance/surveys

State Reform Research and Strategies

SHADAC has provided evaluative information on health reform initiatives in states participating in the

State Health Access Reform Evaluation (SHARE) program. Many of these evaluations provide descriptive

information that may be useful for SHAP grantees.

Web page: http://www.shadac.org/shap/technical-assistance/ state-reform-research-and-strategies
mailto:[email protected]:[email protected]:[email protected]://www.shadac.org/shap/technical-assistance/datahttp://www.shadac.org/shap/technical-assistance/datahttp://www.shadac.org/shap/technical-assistance/HRSA-Benchmarkshttp://www.shadac.org/shap/technical-assistance/HRSA-Benchmarkshttp://www.shadac.org/shap/technical-assistance/evaluationshttp://www.shadac.org/shap/technical-assistance/evaluationshttp://www.shadac.org/shap/technical-assistance/surveyshttp://www.shadac.org/shap/technical-assistance/surveyshttp://www.shadac.org/shap/technical-assistance/%20state-reform-research-and-strategieshttp://www.shadac.org/shap/technical-assistance/%20state-reform-research-and-strategieshttp://www.shadac.org/shap/technical-assistance/%20state-reform-research-and-strategieshttp://www.shadac.org/shap/technical-assistance/surveyshttp://www.shadac.org/shap/technical-assistance/evaluationshttp://www.shadac.org/shap/technical-assistance/HRSA-Benchmarkshttp://www.shadac.org/shap/technical-assistance/datamailto:[email protected]


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Appendix B. Data Source

Source: U.S. Census Bureau, 2008 American Community Survey (ACS). Calculations by SHADAC.

Estimates for the ACS exclude military but include non-institutionalized group quarters such as

college/university housing, group homes intended for adults, residential treatment facilities for adults,workers group living quarters and Job Corps centers, and religious group quarters.

Population counts are presented in thousands.

Definitions: '%' = Percent; 'SE' = Standard error as a percent. Confidence intervals can be calculated

from the standard errors; for example, the 95% confidence interval is (1.96 * SE).

Insurance coverage note: Listed Medicaid rates include SCHIP and state-specific public programs. Those

who report multiple types of insurance coverage (i.e., private or public) are included in each category;

therefore, row totals may add to more than 100 percent. Active duty military coverage (e.g., TRICARE) is

considered employer-sponsored insurance, while VA coverage is considered government coverage.

ACS methodology note: The ACS asks respondents about their health insurance coverage at the time of

the interview.

For technical documentation on the ACS please visithttp://www.shadac.org/content/acs-info-and-

resources.
http://www.shadac.org/content/acs-info-and-resourceshttp://www.shadac.org/content/acs-info-and-resourceshttp://www.shadac.org/content/acs-info-and-resourceshttp://www.shadac.org/content/acs-info-and-resourceshttp://www.shadac.org/content/acs-info-and-resourceshttp://www.shadac.org/content/acs-info-and-resources


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Appendix C. County Groupings in Sub-state Areas

Sub-State Area^ Counties

00100

Brooke

Hancock

Marshall

Ohio

Wetzel

00200

Doddridge

Harrison

Marion

Taylor

00300

Monongalia

Preston

00400

Berkeley

Grant

Hampshire

Hardy

Jefferson

Mineral

Morgan

Pendleton

00500

Barbour

BraxtonGilmer

Lewis

Randolph

Tucker

Upshur

00600

Calhoun

Jackson

Pleasants

Ritchie

RoaneTyler

Wirt

Wood

00700Cabell

Mason

00800 Boone


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Sub-State Area^ Counties

00800 (cont.)

Clay

KanawhaPutnam

00900

Fayette

Greenbrier

Nicholas

Pocahontas

Webster

01000

Monroe

Raleigh

Summers

01100 McDowellMercer

Wyoming

01200

Lincoln

Logan

Mingo

Wayne

^ Sub-state areas are labeled according to Census Bureau-defined geographical areas known

at PUMAs (Public Use Microdata Areas). For more information on these areas, contact

SHADAC.


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Appendix D. West Virginia Map of Major Cities

Source: U.S. Census Bureau.


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July 21 2010 www shadac org 23


Appendix E. West Virginia Map of County Boundaries

Source: U.S. Census Bureau.

West Virginia State Chartbook

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