Nevada State Chartbook

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NevadaSHAP Grantee Chartbook

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

Prepared for:

State Health Access Program (SHAP)

Last Updated: July 29, 2010


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July 29, 2010 www.shadac.org i

Nevada 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

Nevada SHAP Grantee Organization:State of Nevada, Health Division

Project Director

Laura Hale

Ph. 775-684-4041

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 29, 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 29, 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 Nevada is shown in Exhibit 1. In 2008, 75.7% of the total

population age 0-64 had health insurance coverage. Over two thirds (69.2%) had private coverage,

while 9.0% reported having government coverage. This is in contrast to individuals under 200% of the

Federal Poverty Level (FPL), of which only 56.9% had insurance, with 40.6% having private coverage, and

18.9% 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.

24.3%

75.7%

69.2%

9.0%

43.1%

56.9%

40.6%

18.9%

0%

10%

20%

30%

40%

50%

60%

70%

80%

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


Note: No sub-state areas are statistically different from the state uninsurance estimate for people age 0-64 (24.3%). Sub-state

estimates are typically collections of counties and reflect the lowest level of geography available for a single year of ACS data.

In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the county.


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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 640 39.2 1.34 60.8 1.34 53.2 1.39 9.1 0.74

White Alone 1,227 18.0 0.62 82.0 0.62 76.9 0.70 8.2 0.41

Black Alone 165 23.1 2.06 76.9 2.06 62.1 2.47 18.4 2.00

Asian Alone 136 14.3 1.39 85.7 1.39 84.3 1.43 2.8 0.50

Mult ip le/other

non-Hispanic105 22.3 1.98 77.7 1.98 68.9 2.34 11.6 1.60

Tota l 2,274 24.3 0.58 75.7 0.58 69.2 0.63 9.0 0.36

Ag e0-18 700 21.6 0.97 78.4 0.97 67.1 1.10 13.3 0.80

19-24 179 42.9 1.67 57.1 1.67 53.0 1.67 5.1 0.72

25-44 748 28.3 0.84 71.7 0.84 68.5 0.87 4.5 0.40

45-64 647 17.5 0.63 82.5 0.63 76.8 0.71 10.7 0.44

Tota l 2,274 24.3 0.58 75.7 0.58 69.2 0.63 9.0 0.36

Poverty Level

0 -99% FPL 266 48.6 2.00 51.4 2.00 28.4 1.78 25.5 1.79

100-199% FPL 395 39.5 1.62 60.5 1.62 48.9 1.69 14.4 1.10

200-399% FPL 766 24.0 0.95 76.0 0.95 72.8 0.99 5.5 0.40

400%+ FPL 836 9.7 0.55 90.3 0.55 88.7 0.59 4.3 0.28

Tota l 2,263 24.3 0.58 75.7 0.58 69.3 0.63 9.0 0.36

Se x

Male 1,159 25.1 0.68 74.9 0.68 68.6 0.72 9.4 0.42

Female 1,114 23.5 0.66 76.5 0.66 69.8 0.72 8.7 0.42

Tota l 2,274 24.3 0.58 75.7 0.58 69.2 0.63 9.0 0.36

Work Status

Not work ing 285 31.9 1.21 68.1 1.21 52.1 1.29 22.7 1.15

Part -t ime 226 35.1 1.34 64.9 1.34 60.7 1.35 5.9 0.59

Ful l - t ime 1,096 22.1 0.62 77.9 0.62 76.5 0.63 3.3 0.20

Tota l 1,607 25.7 0.57 74.3 0.57 70.0 0.59 7.1 0.29


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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: No sub-state areas are statistically different from the state uninsurance estimate for the population group (Age 0-64, 24.3%;

Age 0-64


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Note: No sub-state areas are statistically different from the state uninsurance estimate for people age 0-18 (21.6%). Sub-state

estimates are typically collections of counties and reflect the lowest level of geography available for a single year of ACS data.

In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the county.


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GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 261 33.8 1.87 66.2 1.87 51.5 1.95 16.9 1.49

White Alone 302 14.3 1.18 85.7 1.18 78.8 1.35 8.7 0.90

Black Alone 57 17.3 3.33 82.7 3.33 57.2 4.38 28.9 4.07

Asian Alone 33 8.9 2.30 91.1 2.30 90.8 2.32 1.2 0.62

Mult ip le/other

non-Hispanic48 15.1 2.39 84.9 2.39 73.6 3.09 12.9 2.38

Tota l 700 21.6 0.97 78.4 0.97 67.1 1.10 13.3 0.80

Ag e0-18 700 21.6 0.97 78.4 0.97 67.1 1.10 13.3 0.80

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

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

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

Tota l 700 21.6 0.97 78.4 0.97 67.1 1.10 13.3 0.80

Poverty Level

0 -99% FPL 103 37.9 3.11 62.1 3.11 28.7 2.76 36.7 3.01

100-199% FPL 167 32.5 2.33 67.5 2.33 50.3 2.51 19.7 2.07

200-399% FPL 242 17.9 1.48 82.1 1.48 77.7 1.60 5.9 0.83

400%+ FPL 180 6.9 0.97 93.1 0.97 91.2 1.09 3.4 0.71

Tota l 691 21.5 0.97 78.5 0.97 67.4 1.10 13.2 0.80

Se x

Male 361 20.1 1.07 79.9 1.07 68.7 1.24 13.5 0.96

Female 339 23.2 1.25 76.8 1.25 65.4 1.36 13.2 0.92

Tota l 700 21.6 0.97 78.4 0.97 67.1 1.10 13.3 0.80

Work Status

Not work ing 14 39.8 5.69 60.2 5.69 56.4 5.68 5.4 2.33

Part -t ime 13 35.3 7.97 64.7 7.97 63.0 7.84 2.9 1.28

Ful l - t ime 7 22.4 6.30 77.6 6.30 66.2 8.75 11.4 8.39

Tota l 33 34.5 4.20 65.5 4.20 61.0 4.20 5.6 2.08


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Age 0-18,


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Age 0-18


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Note: No sub-state areas are statistically different from the state uninsurance estimate for people age 19-64 (25.5%). Sub-

state estimates are typically collections of counties and reflect the lowest level of geography available for a single year of ACS

data. In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the

county.


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GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 379 43.0 1.36 57.0 1.36 54.4 1.37 3.7 0.42

White Alone 925 19.2 0.64 80.8 0.64 76.2 0.69 8.1 0.40

Black Alone 108 26.1 2.06 73.9 2.06 64.6 2.21 12.9 1.40

Asian Alone 104 16.0 1.45 84.0 1.45 82.2 1.50 3.3 0.61

Mult ip le/other

non-Hispanic58 28.2 2.44 71.8 2.44 65.0 2.68 10.5 1.65

Tota l 1,573 25.5 0.57 74.5 0.57 70.1 0.59 7.1 0.29

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

19-24 179 42.9 1.67 57.1 1.67 53.0 1.67 5.1 0.72

25-44 748 28.3 0.84 71.7 0.84 68.5 0.87 4.5 0.40

45-64 647 17.5 0.63 82.5 0.63 76.8 0.71 10.7 0.44

Tota l 1,573 25.5 0.57 74.5 0.57 70.1 0.59 7.1 0.29

Poverty Level

0 -99% FPL 163 55.3 2.02 44.7 2.02 28.2 1.74 18.5 1.71

100-199% FPL 228 44.6 1.56 55.4 1.56 47.8 1.53 10.6 0.88

200-399% FPL 524 26.8 0.98 73.2 0.98 70.5 1.00 5.3 0.35

400%+ FPL 656 10.5 0.58 89.5 0.58 88.0 0.61 4.5 0.29

Tota l 1,572 25.5 0.57 74.5 0.57 70.1 0.59 7.1 0.29

Se x

Male 798 27.3 0.75 72.7 0.75 68.6 0.76 7.5 0.37

Female 775 23.6 0.63 76.4 0.63 71.8 0.67 6.7 0.36

Tota l 1,573 25.5 0.57 74.5 0.57 70.1 0.59 7.1 0.29

Work Status

Not work ing 272 31.5 1.22 68.5 1.22 51.9 1.31 23.5 1.19

Part -t ime 213 35.1 1.32 64.9 1.32 60.5 1.34 6.1 0.62

Ful l - t ime 1,089 22.1 0.63 77.9 0.63 76.6 0.63 3.2 0.19

Tota l 1,573 25.5 0.57 74.5 0.57 70.1 0.59 7.1 0.29


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Age 19-64,


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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

00100Washoe

00200

00300

Churchill

Elko

Esmeralda

Eureka

Humboldt

Lander

Lincoln

Mineral

NyePershing

White Pine

00400

Carson City*

Douglas

Lyon

Storey

00501

Clark

00502

00503

0050400505

00506

00507

00508

00509

00510

00511

^ 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.* Independent city.


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Appendix D. Nevada Map of Major Cities

Source: U.S. Census Bureau.


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July 29 2010 www shadac org 22


Appendix E. Nevada Map of County Boundaries

Source: U.S. Census Bureau.

* Independent city.

Documents

Nevada State Chartbook