Salamanders of West Virginia - West Virginia Division of Natural
West Virginia State Chartbook
Transcript of 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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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
2221 University Ave SE, Suite 345
Minneapolis, MN 55414
Ph. 612-624-4802
Fax. 612-624-1493
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]
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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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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
Source: U.S. Census Bureau, 2008 American Community Survey.
* 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.
Source: U.S. Census Bureau, 2008 American Community Survey.
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 2.3: Sub-State Uninsurance Estimates, Age 0-64,
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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
Definitions: % = Percent; SE = Standard Error
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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Exhibit 3.1: Sub-State Uninsurance Estimates, Age 0-18, ACS 2008
Source: U.S. Census Bureau, 2008 American Community Survey.
* Statistically different from the state uninsurance estimate for people age 0-18 (7.2%).
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 3.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-18, ACS 2008
Definitions: % = Percent; SE = Standard Error
Note: Counts are presented in thousands.
*Sample size for this subpopulation is not sufficient to provide an estimate.
Source: U.S. Census Bureau, 2008 American Community Survey.
Population Uninsured Insured PrivateCoverage
GovernmentCoverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
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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Exhibit 3.3: Sub-State Uninsurance Estimates, Age 0-18,
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Exhibit 3.4: Demographic Profile by Source of Health Insurance Coverage,
Age 0-18,
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Exhibit 3.5: Sub-State Uninsurance Estimates, Age 0-18 by Federal Poverty Level (FPL), ACS 2008
Definitions: % = Percent; SE = Standard Error
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 0-18, 7.2%; Age 0-18
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Exhibit 4.1: Sub-State Uninsurance Estimates, Age 19-64, ACS 2008
Source: U.S. Census Bureau, 2008 American Community Survey.
* Statistically different from the state uninsurance estimate for people age 19-64 (22.1%).
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 4.2: Demographic Profile by Source of Health Insurance Coverage, Age 19-64, ACS 2008
Definitions: % = Percent; SE = Standard Error
Note: Counts are presented in thousands.
Source: U.S. Census Bureau, 2008 American Community Survey.
Population Uninsured Insured PrivateCoverage
GovernmentCoverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
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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Exhibit 4.3: Sub-State Uninsurance Estimates, Age 19-64,
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Exhibit 4.4: Demographic Profile by Source of Health Insurance Coverage,
Age 19-64,
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Exhibit 4.5: Sub-State Uninsurance Estimates, Age 19-64 by Federal Poverty Level (FPL), ACS 2008
Definitions: % = Percent; SE = Standard Error
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 19-64, 22.1%; Age 19-64
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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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Appendix E. West Virginia Map of County Boundaries
Source: U.S. Census Bureau.