Minnesota State Chartbook
Transcript of Minnesota State Chartbook
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Minnesota SHAP Grantee Chartbook
This chartbook was prepared for the U.S. Department of Health and Human Services Health
Resources and Services Administration’s 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. [email protected]
2221 University Ave SE, Suite 345
Minneapolis, MN 55414
Ph. 612-624-4802
Fax. 612-624-1493
Email. [email protected]
www.shadac.org/shap
Minnesota SHAP Grantee Organization: State of Minnesota, Department of Human Services
Project Director
Cara Bailey
Ph. 651-431-4935
Email. [email protected]
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Minnesota SHAP Grantee Chartbook
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, <200% FPL, ACS 2008 .................................... 5
Exhibit 2.4: Demographic Profile by Source of Health Insurance Coverage, Age 0-64, <200% FPL, ACS
2008 .......................................................................................................................................................... 6
Exhibit 2.5: Sub-State Uninsurance Estimates, Age 0-64 by Federal Poverty Level (FPL), ACS 2008 ...... 7
Exhibit 3.1: Sub-State Uninsurance Estimates, Age 0-18, ACS 2008 ....................................................... 8
Exhibit 3.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-18, ACS 2008 .......... 9
Exhibit 3.3: Sub-State Uninsurance Estimates, Age 0-18, <200% FPL, ACS 2008 .................................. 10
Exhibit 3.4: Demographic Profile by Source of Health Insurance Coverage, Age 0-18, <200% FPL, ACS
................................................................................................................................................................ 11
Exhibit 3.5: Sub-State Uninsurance Estimates, Age 0-18 by Federal Poverty Level (FPL), ACS 2008 .... 12
Exhibit 4.1: Sub-State Uninsurance Estimates, Age 19-64, ACS 2008 ................................................... 13
Exhibit 4.2: Demographic Profile by Source of Health Insurance Coverage, Age 19-64, ACS 2008 ...... 14
Exhibit 4.3: Sub-State Uninsurance Estimates, Age 19-64, <200% FPL, ACS 2008 ................................ 15
Exhibit 4.4: Demographic Profile by Source of Health Insurance Coverage, Age 19-64, <200% FPL, ACS................................................................................................................................................................ 16
Exhibit 4.5: Sub-State Uninsurance Estimates, Age 19-64 by Federal Poverty Level (FPL), ACS 2008 .. 17
Appendix A. Technical Assistance Available from SHADAC ....................................................................... 18
Appendix B. Data Source ............................................................................................................................ 19
Appendix C. County Groupings in Sub-state Areas .................................................................................... 20
Appendix D. Minnesota Map of Major Cities ............................................................................................. 23
Appendix E. Minnesota Map of County Boundaries .................................................................................. 24
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Minnesota SHAP Grantee Chartbook
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 under
200% FPL
Tables of health insurance coverage estimates for the above mentioned population groups, with
variance information
County-level estimates of uninsurance
Demographic profiles of state populations
Summary Statistics
Any source of health insurance coverage for Minnesota is shown in Exhibit 1. In 2008, 90.4% of the total
population age 0-64 had health insurance coverage. Around four fifths (80.1%) had private coverage,
while 12.9% reported having government coverage. This is in contrast to individuals under 200% of the
Federal Poverty Level (FPL), of which only 79.0% had insurance, with 44.8% having private coverage, and
38.3% 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.
9.6%
90.4%
80.1%
12.9%
21.0%
79.0%
44.8%38.3%
0%10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Uninsured Insured Private Coverage Government
Coverage
Total < 200% FPL
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Minnesota SHAP Grantee Chartbook
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 (9.6%).
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.
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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 208 31.9 3.10 68.1 3.10 51.0 3.07 18.5 1.85
White Alone 3,804 8.0 0.27 92.0 0.27 84.4 0.37 10.3 0.29
Black Alone 229 14.1 1.52 85.9 1.52 49.5 2.90 39.4 3.09
Asian Alone 171 8.1 1.61 91.9 1.61 75.2 2.87 18.5 2.55
Mult ip le/other
non-Hispanic134 16.9 2.29 83.1 2.29 60.9 3.03 26.4 2.61
Tota l 4,546 9.6 0.31 90.4 0.31 80.1 0.44 12.9 0.35
Ag e0-18 1,329 6.4 0.45 93.6 0.45 78.4 0.79 17.5 0.72
19-24 437 20.2 1.01 79.8 1.01 68.0 1.26 13.0 0.96
25-44 1,382 11.9 0.51 88.1 0.51 79.6 0.61 10.1 0.42
45-64 1,398 7.2 0.33 92.8 0.33 85.9 0.44 11.2 0.36
Tota l 4,546 9.6 0.31 90.4 0.31 80.1 0.44 12.9 0.35
Poverty Level
0 -99% FPL 447 21.1 1.35 78.9 1.35 32.7 1.62 49.9 1.76
100-199% FPL 601 21.0 1.27 79.0 1.27 53.9 1.58 29.7 1.40
200-399% FPL 1,393 10.3 0.53 89.7 0.53 84.2 0.63 8.3 0.42
400%+ FPL 2,039 3.5 0.26 96.5 0.26 95.4 0.28 2.9 0.16
Tota l 4,479 9.7 0.32 90.3 0.32 80.1 0.45 12.9 0.36
Se x
Male 2,295 11.1 0.39 88.9 0.39 79.8 0.51 12.1 0.39
Female 2,251 8.2 0.34 91.8 0.34 80.4 0.51 13.6 0.44
Tota l 4,546 9.6 0.31 90.4 0.31 80.1 0.44 12.9 0.35
Work Status
Not work ing 391 14.2 0.95 85.8 0.95 58.0 1.29 36.2 1.26
Part -t ime 674 12.4 0.60 87.6 0.60 74.6 0.79 16.1 0.67
Ful l - t ime 2,228 10.0 0.36 90.0 0.36 86.7 0.40 5.0 0.21
Tota l 3,293 11.0 0.32 89.0 0.32 80.8 0.40 11.0 0.29
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Exhibit 2.3: Sub-State Uninsurance Estimates, Age 0-64, <200% FPL, ACS 2008
Source: U.S. Census Bureau, 2008 American Community Survey.
* Statistically different from the state uninsurance estimate for people age 0-64 under 200% FPL (21.0%).
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.
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Exhibit 2.4: Demographic Profile by Source of Health Insurance Coverage,
Age 0-64, <200% FPL, 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
Private
Coverage
Government
Coverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
Hispanic 109 43.0 4.40 57.0 4.40 30.2 3.83 28.0 3.28
White Alone 705 19.2 0.92 80.8 0.92 51.3 1.25 34.0 1.15
Black Alone 127 14.3 2.30 85.7 2.30 27.7 3.70 62.4 3.95
Asian Alone 51 10.9 2.66 89.1 2.66 41.9 6.24 50.1 6.16
Mult ip le/other
non-Hispanic55 26.1 4.63 73.9 4.63 32.8 4.58 48.0 4.74
Tota l 1,048 21.0 0.95 79.0 0.95 44.8 1.18 38.3 1.15Ag e
0-18 376 13.1 1.29 86.9 1.29 44.6 1.83 47.2 1.85
19-24 171 26.3 1.91 73.7 1.91 51.7 2.37 23.9 2.06
25-44 297 27.8 1.57 72.2 1.57 41.7 1.61 32.9 1.51
45-64 204 21.4 1.36 78.6 1.36 43.9 1.56 41.7 1.55
Tota l 1,048 21.0 0.95 79.0 0.95 44.8 1.18 38.3 1.15
Poverty Level
0 -99% FPL 447 21.1 1.35 78.9 1.35 32.7 1.62 49.9 1.76
100-199% FPL 601 21.0 1.27 79.0 1.27 53.9 1.58 29.7 1.40
200-399% FPL -- -- -- -- -- -- -- -- --
400%+ FPL -- -- -- -- -- -- -- -- --
Tota l 1,048 21.0 0.95 79.0 0.95 44.8 1.18 38.3 1.15
Se x
Male 500 24.0 1.28 76.0 1.28 45.1 1.47 35.2 1.39
Female 547 18.4 0.98 81.6 0.98 44.6 1.32 41.2 1.32
Tota l 1,048 21.0 0.95 79.0 0.95 44.8 1.18 38.3 1.15
Work Status
Not work ing 178 21.4 1.79 78.6 1.79 29.0 1.87 56.0 2.13
Part -t ime 217 22.4 1.44 77.6 1.44 46.3 1.75 35.5 1.66
Ful l - t ime 297 29.8 1.51 70.2 1.51 53.8 1.57 18.2 1.11
Tota l 692 25.3 1.01 74.7 1.01 45.0 1.11 33.3 1.05
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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. In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the
county.
* Statistically different from the state uninsurance estimate for population group (Age 0-64, 9.6%; Age 0-64 <200% FPL, 21.0%).Source: U.S. Census Bureau, 2008 American Community Survey.
All PovertyLevels
<200% FPL
% SE % SE
County
Aitki n, Carlt on, Crow Wing , Kanabe c, Mill e Lacs, Pine 11.6 1.4 20.0 3.4
An ok a 11.1 1.5 25.3 5.2
Becke r, Belt rami, Clea rwate r, Hubbar d, Lake of the Woods , Mahno men 18.5 * 2.9 31.0 6.3
Be nt on, St ea rn s 9.0 1.3 14.1 * 2.8
Big Stone , Grant , Otter Tail , Pope, Steve ns, Swift , Trave rse, Wilk in 12.6 1.9 22.4 4.0
Blu e Ear th, Nic oll et , Was eca 5.3 * 0.9 12.3 * 3.0
Brown, Ch ippewa, Lac qu i Par le, L inco ln , Lyon, Redwood, Yel low
Me di ci ne 10.7 1.7 18.0 4.1Ca rv er , Sc ot t 4.7 * 0.9 19.8 5.6
Cas s, Coo k, Ita sca , Koo chi chi ng, Lak e 10.9 1.6 14.8 3.6
Chi sag o, Isa nti , She rbur ne, Wri ght 8.9 1.2 17.8 3.2
Clay , Kitt son, Mars hall , Norman , Penn ingt on, Polk , Red Lake, Rose au 9.4 1.4 21.3 4.3
Cottonwood, Far ibault , Jackson, Mart in , Murray, Nobles, P ipestone,
Ro ck , Wa to nw an 9.5 1.8 18.5 4.5
Da k ot a 7.2 * 1.1 22.7 5.2
Dodg e, Fre ebo rn, Mow er, Ste el e 9.2 1.8 17.4 4.7
Doug las , Mor ris on, Tod d, Wade na 9.0 1.6 15.7 4.2
Fil lmo re, Hous ton , Wab as ha, Win ona 13.2 2.1 26.4 5.5
Go od hue , Le Su eu r, Ri ce 9.2 1.6 28.4 6.8
He nn e pi n 11.1 0.8 26.6 2.6
Kandiy ohi, McLe od, Mee ker, Renv il le , Sible y 7.9 1.2 15.0 3.6
Ol ms te d 3.8 * 0.7 8.1 * 2.4
Ra ms e y 9.3 0.9 16.1 2.3
St . L ou is 13.3 * 1.6 24.3 3.8
Wa sh in gt on 7.0 * 1.1 16.1 4.3
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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 (6.4%).
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.
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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.
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 87 23.1 3.67 76.9 3.67 48.7 3.92 30.0 3.49
White Alone 1,036 4.8 0.40 95.2 0.40 85.4 0.65 12.0 0.59
Black Alone 86 6.0 1.50 94.0 1.50 45.4 4.34 52.3 4.53
Asian Alone 57 6.2 1.94 93.8 1.94 66.8 4.76 28.8 4.69
Mult ip le/other
non-Hispanic62 10.8 2.58 89.2 2.58 60.7 4.35 33.0 3.97
Tota l 1,329 6.4 0.45 93.6 0.45 78.4 0.79 17.5 0.72
Ag e0-18 1,329 6.4 0.45 93.6 0.45 78.4 0.79 17.5 0.72
19-24 -- -- -- -- -- -- -- -- --
25-44 -- -- -- -- -- -- -- -- --
45-64 -- -- -- -- -- -- -- -- --
Tota l 1,329 6.4 0.45 93.6 0.45 78.4 0.79 17.5 0.72
Poverty Level
0 -99% FPL 149 12.6 1.99 87.4 1.99 28.7 2.55 62.9 2.79
100-199% FPL 227 13.4 1.66 86.6 1.66 55.1 2.33 36.9 2.27
200-399% FPL 439 6.1 0.66 93.9 0.66 87.5 0.95 8.6 0.78
400%+ FPL 482 1.7 0.34 98.3 0.34 97.2 0.41 1.7 0.25
Tota l 1,297 6.5 0.46 93.5 0.46 78.7 0.79 17.2 0.72
Se x
Male 674 7.0 0.59 93.0 0.59 78.3 0.93 17.1 0.83
Female 655 5.8 0.52 94.2 0.52 78.5 0.94 18.0 0.88
Tota l 1,329 6.4 0.45 93.6 0.45 78.4 0.79 17.5 0.72
Work Status
Not work ing 17 10.2 3.26 89.8 3.26 68.9 5.18 23.4 4.74
Part -t ime 51 7.8 1.55 92.2 1.55 85.3 1.92 9.1 1.52
Ful l - t ime 9 22.3 5.94 77.7 5.94 72.3 6.10 5.5 2.46
Tota l 77 10.1 1.60 89.9 1.60 80.1 1.99 11.8 1.52
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Exhibit 3.3: Sub-State Uninsurance Estimates, Age 0-18, <200% FPL, ACS 2008
Source: U.S. Census Bureau, 2008 American Community Survey.
* Statistically different from the state uninsurance estimate for people age 0-18 under 200% FPL (13.1%).
^ Data are suppressed for sub-state areas with fewer than 50 observations.
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.
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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. In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the
county.
* Statistically different from the state uninsurance estimate for population group (Age 0-18, 6.4%; Age 0-18 <200% FPL, 13.1%).-- Data are suppressed for sub-state areas with fewer than 50 observations.
Source: U.S. Census Bureau, 2008 American Community Survey.
All PovertyLevels
<200% FPL
% SE % SE
County
Aitki n, Carlt on, Crow Wing , Kanabe c, Mill e Lacs, Pine 7.2 1.5 12.5 3.3
An ok a 8.6 2.4 15.7 6.6
Becke r, Belt rami, Clea rwate r, Hubbar d, Lake of the Woods , Mahno men 10.9 3.1 15.1 6.0
Be nt on, St ea rn s 4.4 1.5 3.6 * 1.8
Big Stone , Grant , Otter Tail , Pope, Steve ns, Swift , Trave rse, Wilk in 9.1 2.3 12.1 4.1
Blu e Ear th, Nic oll et , Was eca 4.4 1.7 16.8 7.2
Brown, Ch ippewa, Lac qu i Par le, L inco ln , Lyon, Redwood, Yel low
Me di ci ne 8.5 2.6 13.8 6.1Ca rv er , Sc ot t 1.8 * 0.9 -- --
Cas s, Coo k, Ita sca , Koo chi chi ng, Lak e 6.2 2.0 8.7 4.1
Chi sag o, Isa nti , She rbur ne, Wri ght 5.5 1.4 13.0 4.2
Clay , Kitt son, Mars hall , Norman , Penn ingt on, Polk , Red Lake, Rose au 6.3 2.8 13.1 7.6
Cottonwood, Far ibault , Jackson, Mart in , Murray, Nobles, P ipestone,
Ro ck , Wa to nw an 7.8 2.7 12.7 5.2
Da k ot a 5.0 1.3 11.6 4.7
Dodg e, Fre ebo rn, Mow er, Ste ele 4.3 2.7 8.9 6.6
Doug las , Mor ris on, Tod d, Wade na 8.9 3.5 16.1 7.8
Fil lmo re, Hous ton , Wab as ha, Win ona 10.3 2.9 21.7 7.1
Go od hue , Le Su eu r, Ri ce 6.9 2.2 21.6 8.5
He nn ep i n 8.1 1.3 19.8 3.9
Kandiy ohi, McLe od, Mee ker, Renv il le , Sible y 4.4 1.7 7.9 3.9
Ol ms te d 0.4 * 0.3 -- --
Ra ms e y 5.0 1.2 6.6 * 2.4
St . Lo ui s 9.2 2.9 16.2 6.9
Wa sh in gt on 4.6 1.8 -- --
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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 (11.0%).
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.
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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 121 38.3 3.40 61.7 3.40 52.7 3.37 10.2 1.40
White Alone 2,768 9.2 0.29 90.8 0.29 84.1 0.36 9.6 0.26
Black Alone 143 19.0 1.86 81.0 1.86 52.0 2.76 31.6 2.84
Asian Alone 114 9.0 1.67 91.0 1.67 79.4 2.33 13.4 1.82
Mult ip le/other
non-Hispanic71 22.3 3.29 77.7 3.29 61.1 3.38 20.6 2.41
Tota l 3,217 11.0 0.33 89.0 0.33 80.8 0.40 11.0 0.29
Ag e0-18 -- -- -- -- -- -- -- -- --
19-24 437 20.2 1.01 79.8 1.01 68.0 1.26 13.0 0.96
25-44 1,382 11.9 0.51 88.1 0.51 79.6 0.61 10.1 0.42
45-64 1,398 7.2 0.33 92.8 0.33 85.9 0.44 11.2 0.36
Tota l 3,217 11.0 0.33 89.0 0.33 80.8 0.40 11.0 0.29
Poverty Level
0 -99% FPL 297 25.4 1.45 74.6 1.45 34.7 1.66 43.3 1.68
100-199% FPL 374 25.6 1.34 74.4 1.34 53.1 1.46 25.3 1.25
200-399% FPL 954 12.3 0.58 87.7 0.58 82.7 0.66 8.2 0.41
400%+ FPL 1,556 4.1 0.29 95.9 0.29 94.8 0.31 3.3 0.19
Tota l 3,182 11.1 0.33 88.9 0.33 80.6 0.41 11.1 0.29
Se x
Male 1,621 12.8 0.44 87.2 0.44 80.4 0.51 10.1 0.36
Female 1,596 9.1 0.36 90.9 0.36 81.2 0.48 11.9 0.38
Tota l 3,217 11.0 0.33 89.0 0.33 80.8 0.40 11.0 0.29
Work Status
Not work ing 374 14.4 0.98 85.6 0.98 57.5 1.29 36.8 1.25
Part -t ime 624 12.8 0.63 87.2 0.63 73.7 0.84 16.6 0.70
Ful l - t ime 2,219 9.9 0.36 90.1 0.36 86.7 0.40 5.0 0.21
Tota l 3,217 11.0 0.33 89.0 0.33 80.8 0.40 11.0 0.29
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Exhibit 4.3: Sub-State Uninsurance Estimates, Age 19-64, <200% FPL, ACS 2008
Source: U.S. Census Bureau, 2008 American Community Survey.
* Statistically different from the state uninsurance estimate for people age 19-64 under 200% FPL (25.5%).
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.
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Exhibit 4.4: Demographic Profile by Source of Health Insurance Coverage,
Age 19-64, <200% FPL, 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
Private
Coverage
Government
Coverage
(000) % SE % SE % SE % SE
Race and Ethnic i ty
Hispanic 55 54.3 4.66 45.7 4.66 30.8 4.13 15.6 2.61
White Alone 487 22.9 1.01 77.1 1.01 49.6 1.19 31.5 1.07
Black Alone 71 21.1 3.02 78.9 3.02 27.2 3.43 55.3 4.10
Asian Alone 28 15.6 3.57 84.4 3.57 48.1 5.78 38.2 5.58
Mult ip le/other
non-Hispanic31 33.5 6.20 66.5 6.20 34.3 5.87 37.6 5.20
Tota l 672 25.5 1.02 74.5 1.02 44.9 1.12 33.3 1.04Ag e
0-18 -- -- -- -- -- -- -- -- --
19-24 171 26.3 1.91 73.7 1.91 51.7 2.37 23.9 2.06
25-44 297 27.8 1.57 72.2 1.57 41.7 1.61 32.9 1.51
45-64 204 21.4 1.36 78.6 1.36 43.9 1.56 41.7 1.55
Tota l 672 25.5 1.02 74.5 1.02 44.9 1.12 33.3 1.04
Poverty Level
0 -99% FPL 297 25.4 1.45 74.6 1.45 34.7 1.66 43.3 1.68
100-199% FPL 374 25.6 1.34 74.4 1.34 53.1 1.46 25.3 1.25
200-399% FPL -- -- -- -- -- -- -- -- --
400%+ FPL -- -- -- -- -- -- -- -- --
Tota l 672 25.5 1.02 74.5 1.02 44.9 1.12 33.3 1.04
Se x
Male 310 29.7 1.50 70.3 1.50 45.5 1.57 28.7 1.45
Female 362 21.9 1.10 78.1 1.10 44.4 1.30 37.2 1.25
Tota l 672 25.5 1.02 74.5 1.02 44.9 1.12 33.3 1.04
Work Status
Not work ing 171 21.4 1.82 78.6 1.82 28.9 1.85 56.2 2.11
Part -t ime 206 22.5 1.49 77.5 1.49 45.7 1.81 36.0 1.70
Ful l - t ime 295 29.9 1.52 70.1 1.52 53.7 1.58 18.2 1.12
Tota l 672 25.5 1.02 74.5 1.02 44.9 1.12 33.3 1.04
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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. In most metro areas sub-county estimates are available, but for this map all sub-county estimates are aggregated to the
county.
* Statistically different from the state uninsurance estimate for population group (Age 19-64, 11.0%; Age 19-64 <200% FPL, 25.5%).
Source: U.S. Census Bureau, 2008 American Community Survey.
All PovertyLevels
<200% FPL
% SE % SE
County
Aitki n, Carlt on, Crow Wing , Kanabe c, Mill e Lacs, Pine 13.6 1.6 24.5 4.1
An ok a 12.3 1.4 31.6 6.1
Becke r, Belt rami, Clea rwate r, Hubbar d, Lake of the Woods , Mahno men 21.8 * 3.5 39.6 * 7.1
Be nt on, St ea rn s 10.7 1.6 18.7 3.7
Big Stone , Grant , Otter Tail , Pope, Steve ns, Swift , Trave rse, Wilk in 13.9 2.1 27.1 4.8
Blu e Ear th, Nic oll et , Was eca 5.7 * 1.0 11.0 * 3.0
Brown, Ch ippewa, Lac qu i Par le, L inco ln , Lyon, Redwood, Yel low
Me di ci ne 11.6 1.7 20.5 4.2Ca rv er , Sc ot t 6.0 * 1.1 30.1 7.6
Cas s, Coo k, Ita sca , Koo chi chi ng, Lak e 12.7 1.9 17.2 * 3.9
Chi sag o, Isa nti , She rbur ne, Wri ght 10.4 1.3 20.5 4.0
Clay , Kitt son, Mars hall , Norman , Penn ingt on, Polk , Red Lake, Rose au 10.7 1.4 25.6 3.9
Cottonwood, Far ibault , Jackson, Mart in , Murray, Nobles, P ipestone,
Ro ck , Wa to nw an 10.2 1.6 23.2 4.5
Da k ot a 8.1 * 1.3 30.2 6.7
Dodg e, Fre ebo rn, Mow er , Ste ele 11.6 2.0 24.0 4.7
Doug las , Mor ris on, Tod d, Wade na 9.0 1.3 15.5 * 3.2
Fil lmo re, Hous ton , Wab as ha, Win ona 14.3 2.3 28.4 6.6
Go od hue , Le Su eu r, Ri ce 10.2 1.8 31.9 7.8
He nn e pi n 12.3 0.8 30.4 2.5
Kandiy ohi, McLe od, Mee ker, Renv il le , Sible y 9.4 1.4 19.8 4.5
Ol ms te d 5.1 * 1.0 11.0 * 3.4
Ra ms e y 11.0 1.1 22.9 2.7
St . L ou is 14.7 * 1.7 27.4 4.0
Wa sh in gt on 8.0 * 1.2 19.0 5.1
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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 or [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: SHADAC’s 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. SHADAC’s 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
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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 visit http://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
Clay
Kittson
Marshall
Norman
Pennington
Polk
Red Lake
Roseau
00200
Becker
Beltrami
ClearwaterHubbard
Lake of the Woods
Mahnomen
00300
Cass
Cook
Itasca
Koochiching
Lake
00400 St. Louis
00500
AitkinCarlton
Crow Wing
Kanabec
Mille Lacs
Pine
00600
Douglas
Morrison
Todd
Wadena
00700
Big StoneGrant
Otter Tail
Pope
Stevens
Swift
Traverse
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Sub-State Area^ Counties
00700 (cont.) Wilkin
00800 BentonStearns
00900
Chisago
Isanti
Sherburne
Wright
01001Anoka
01002
01100Carver
Scott
01201 Dakota01202
01203
01301
Hennepin
01302
01303
01401
01402
01403
01404
01405
01406
01501
Ramsey01502
01601
01602
01700 Washington
01800
Kandiyohi
McLeod
Meeker
Renville
Sibley
01900
Brown
Chippewa
Lac qui Parle
Lincoln
Lyon
Redwood
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Sub-State Area^ Counties
01900 (cont.) Yellow Medicine
02000Blue EarthNicollet
Waseca
02100
Goodhue
Le Sueur
Rice
02200
Fillmore
Houston
Wabasha
Winona
02300 Olmsted
02400
Dodge
Freeborn
Mower
Steele
02500
Cottonwood
Faribault
Jackson
Martin
Murray
Nobles
Pipestone
Rock
Watonwan
^ 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 E. Minnesota Map of County Boundaries
Source: U.S. Census Bureau.