Wisconsin State Chartbook

8/9/2019 Wisconsin State Chartbook

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WisconsinSHAP Grantee Chartbook

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

Prepared for:

State Health Access Program (SHAP)

Last updated: August 25, 2010


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March 2010 www.shadac.org i

Wisconsin 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

Wisconsin SHAP Grantee Organization:Wisconsin Department of Health Services

Division of Health Care Access and Accountability

Project Director

Jim Johnston

Ph. 608-267-7283

Email. [email protected]

August 25, 2010
mailto:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]:[email protected]


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August 25, 2010 www.shadac.org ii


Table of Contents

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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August 25, 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 Wisconsin is shown in Exhibit 1. In 2008, 89.8% of the total

population age 0-64 had health insurance coverage. Over three fourths (78.2%) had private coverage,

while 14.7% reported having government coverage. This is in contrast to individuals under 200% of the

Federal Poverty Level (FPL), of which only 78.2% had insurance, with 42.8% having private coverage, and

39.7% 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.

10.2%

89.8%

78.2%

14.7%

21.8%

78.2%

42.8%39.7%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

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 (10.2%).

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

year of ACS data. In most metro areas sub-county estimates are available, but for this map all sub-county estimates are

aggregated to the county. In some of these cases the aggregations do not exactly match county boundaries; this typically

occurs in metro areas and affects a very small geographic area.


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

Population Uninsured Insured PrivateCoverage

GovernmentCoverage

(000) % SE % SE % SE % SE

Race and Ethnic i ty

Hispanic 273 27.2 2.25 72.8 2.25 53.5 2.51 22.9 1.85

White Alone 4,043 8.5 0.26 91.5 0.26 82.8 0.39 11.6 0.32

Black Alone 281 14.9 1.34 85.1 1.34 46.1 2.41 42.0 2.41

Asian Alone 116 13.5 2.24 86.5 2.24 73.8 3.29 16.5 2.77

Mult ip le/other

non-Hispanic116 15.5 2.19 84.5 2.19 55.5 3.08 32.4 2.89

Tota l 4,828 10.2 0.29 89.8 0.29 78.2 0.43 14.7 0.36

Ag e0-18 1,391 5.3 0.40 94.7 0.40 75.1 0.78 22.7 0.74

19-24 471 22.7 1.06 77.3 1.06 68.2 1.19 11.3 0.74

25-44 1,448 12.5 0.49 87.5 0.49 77.8 0.60 11.8 0.43

45-64 1,519 8.5 0.34 91.5 0.34 84.4 0.44 11.1 0.35

Tota l 4,828 10.2 0.29 89.8 0.29 78.2 0.43 14.7 0.36

Poverty Level

0 -99% FPL 515 23.6 1.31 76.4 1.31 30.9 1.48 50.0 1.64

100-199% FPL 718 20.6 1.00 79.4 1.00 51.3 1.39 32.3 1.24

200-399% FPL 1,598 9.5 0.44 90.5 0.44 85.1 0.60 8.4 0.43

400%+ FPL 1,926 3.5 0.24 96.5 0.24 95.0 0.29 3.7 0.21

Tota l 4,757 10.3 0.29 89.7 0.29 78.1 0.43 14.6 0.36

Se x

Male 2,432 11.6 0.36 88.4 0.36 78.2 0.48 13.4 0.38

Female 2,396 8.7 0.33 91.3 0.33 78.1 0.51 15.9 0.44

Tota l 4,828 10.2 0.29 89.8 0.29 78.2 0.43 14.7 0.36

Work Status

Not work ing 461 16.5 0.85 83.5 0.85 57.9 1.07 34.3 0.99

Part -t ime 675 15.2 0.67 84.8 0.67 72.9 0.81 14.7 0.63

Ful l - t ime 2,387 10.5 0.34 89.5 0.34 85.4 0.40 6.1 0.24

Tota l 3,523 12.2 0.32 87.8 0.32 79.4 0.39 11.4 0.27

Definitions: % = Percent; SE = Standard Error

Note: Counts are presented in thousands.



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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

All PovertyLevels


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GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 116 14.5 2.26 85.5 2.26 52.9 3.29 37.3 3.05

White Alone 1,070 4.3 0.41 95.7 0.41 82.4 0.71 16.0 0.65

Black Alone 107 5.5 1.21 94.5 1.21 37.0 3.70 60.2 3.63

Asian Alone 42 3.8 1.34 96.2 1.34 73.6 5.06 29.9 5.42

Mult ip le/other

non-Hispanic57 7.1 1.98 92.9 1.98 53.8 4.24 42.9 4.23

Tota l 1,391 5.3 0.40 94.7 0.40 75.1 0.78 22.7 0.74

Ag e0-18 1,391 5.3 0.40 94.7 0.40 75.1 0.78 22.7 0.74

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

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

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

Tota l 1,391 5.3 0.40 94.7 0.40 75.1 0.78 22.7 0.74

Poverty Level

0 -99% FPL 183 11.2 1.72 88.8 1.72 23.0 2.14 71.9 2.37

100-199% FPL 271 9.0 1.27 91.0 1.27 54.5 2.12 41.8 2.02

200-399% FPL 492 4.3 0.52 95.7 0.52 88.3 0.85 9.7 0.75

400%+ FPL 411 1.6 0.27 98.4 0.27 96.6 0.44 2.9 0.42

Tota l 1,357 5.3 0.41 94.7 0.41 75.3 0.79 22.4 0.74

Se x

Male 708 5.6 0.46 94.4 0.46 74.7 0.89 22.9 0.85

Female 683 5.1 0.53 94.9 0.53 75.4 0.96 22.4 0.91

Tota l 1,391 5.3 0.40 94.7 0.40 75.1 0.78 22.7 0.74

Work Status

Not work ing 16 17.6 4.48 82.4 4.48 69.0 5.40 14.7 4.02

Part -t ime 54 7.3 1.58 92.7 1.58 84.1 2.31 10.0 1.92

Ful l - t ime 16 27.7 5.66 72.3 5.66 66.4 5.80 8.4 2.95

Tota l 86 12.9 1.73 87.1 1.73 78.1 2.10 10.6 1.53





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Age 0-18,


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All PovertyLevels


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GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 157 36.6 2.72 63.4 2.72 53.9 2.62 12.4 1.32

White Alone 2,973 10.0 0.28 90.0 0.28 83.0 0.36 10.1 0.26

Black Alone 174 20.6 1.73 79.4 1.73 51.7 2.14 30.8 1.88

Asian Alone 74 19.0 3.01 81.0 3.01 73.9 3.24 9.0 1.58

Mult ip le/other

non-Hispanic59 23.6 3.06 76.4 3.06 57.2 3.31 22.2 2.68

Tota l 3,438 12.1 0.32 87.9 0.32 79.4 0.38 11.4 0.27

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

19-24 471 22.7 1.06 77.3 1.06 68.2 1.19 11.3 0.74

25-44 1,448 12.5 0.49 87.5 0.49 77.8 0.60 11.8 0.43

45-64 1,519 8.5 0.34 91.5 0.34 84.4 0.44 11.1 0.35

Tota l 3,438 12.1 0.32 87.9 0.32 79.4 0.38 11.4 0.27

Poverty Level

0 -99% FPL 331 30.5 1.46 69.5 1.46 35.3 1.63 37.8 1.47

100-199% FPL 447 27.6 1.16 72.4 1.16 49.4 1.26 26.6 1.06

200-399% FPL 1,106 11.8 0.52 88.2 0.52 83.6 0.61 7.8 0.39

400%+ FPL 1,515 4.0 0.28 96.0 0.28 94.5 0.31 4.0 0.22

Tota l 3,400 12.2 0.32 87.8 0.32 79.3 0.39 11.5 0.27

Se x

Male 1,724 14.1 0.44 85.9 0.44 79.6 0.49 9.5 0.31

Female 1,713 10.2 0.36 89.8 0.36 79.2 0.46 13.4 0.36

Tota l 3,438 12.1 0.32 87.9 0.32 79.4 0.38 11.4 0.27

Work Status

Not work ing 446 16.5 0.87 83.5 0.87 57.5 1.08 35.0 1.00

Part -t ime 621 15.9 0.71 84.1 0.71 71.9 0.85 15.1 0.65

Ful l - t ime 2,371 10.4 0.34 89.6 0.34 85.5 0.40 6.0 0.24

Tota l 3,438 12.1 0.32 87.9 0.32 79.4 0.38 11.4 0.27





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Age 19-64,


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All PovertyLevels


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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

Ashland

Bayfield

Burnett

Douglas

Iron

Price

Rusk

Sawyer

Taylor

Washburn

00200 Brown00300

00400

Barron

Clark

Dunn

Polk

St. Croix

00500Chippewa

Eau Claire

00600

Adams

ForestJuneau

Langlade

Lincoln

Oneida

Portage

Vilas

Wood

00700

Buffalo

Crawford

JacksonMonroe

Pepin

Pierce

Trempealeau

Vernon

00800 Grant


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00800 (cont.)

Green

IowaLafayette

Richland

00900 La Crosse

01000

Columbia

Dodge

Sauk

01100Dane

01200

01300

Door

FlorenceKewaunee

Manitowoc

Marinette

Oconto

01400

Fond du Lac

Green Lake

Marquette

Menominee

Shawano

Waupaca

Waushara

01500

Calumet

Outagamie

Winnebago

01600 Marathon

01700Jefferson

Walworth

01800 Kenosha

01900 Racine

02001

Milwaukee

02102

02002

02003

02004

02101

02202Waukesha

02201


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02203 Waukesha (cont.)

02300 OzaukeeWashington

02400 Rock

02500 Sheboygan

^ 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. Wisconsin Map of Major Cities

Source: U.S. Census Bureau


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h d 24


Appendix E. Wisconsin Map of County Boundaries

Source: U.S. Census Bureau

Wisconsin State Chartbook

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