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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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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.mherzog@hrsa.gov
2221 University Ave SE, Suite 345
Minneapolis, MN 55414
Ph. 612-624-4802
Fax. 612-624-1493
Email.shadac@umn.edu
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. james.johnston@wi.gov
August 25, 2010
mailto:mherzog@hrsa.govmailto:mherzog@hrsa.govmailto:mherzog@hrsa.govmailto:shadac@umn.edumailto:shadac@umn.edumailto:shadac@umn.edumailto:shadac@umn.edumailto:mherzog@hrsa.gov8/9/2019 Wisconsin State Chartbook
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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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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
Source: U.S. Census Bureau, 2008 American Community Survey.
* 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.
Source: U.S. Census Bureau, 2008 American Community Survey.
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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
All PovertyLevels
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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 (5.3%).
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 3.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-18, ACS 2008
Population Uninsured Insured PrivateCoverage
GovernmentCoverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
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
Definitions: % = Percent; SE = Standard Error
Note: Counts are presented in thousands.
Source: U.S. Census Bureau, 2008 American Community Survey.
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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
All PovertyLevels
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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 (12.1%).
Note: Sub-state estimates are typically collections of counties and reflect the lowest level of geography available for a single
year of ACS data. 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 4.2: Demographic Profile by Source of Health Insurance Coverage, Age 19-64, ACS 2008
Population Uninsured Insured PrivateCoverage
GovernmentCoverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
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
Definitions: % = Percent; SE = Standard Error
Note: Counts are presented in thousands.
Source: U.S. Census Bureau, 2008 American Community Survey.
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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
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 orelukanen@umn.edu.
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:elukanen@umn.edumailto:elukanen@umn.edumailto:elukanen@umn.eduhttp://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:elukanen@umn.edu8/9/2019 Wisconsin State Chartbook
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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-resources8/9/2019 Wisconsin State Chartbook
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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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Sub-State Area^ Counties
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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Sub-State Area^ Counties
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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Appendix E. Wisconsin Map of County Boundaries
Source: U.S. Census Bureau
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