Minnesota State Chartbook

8/9/2019 Minnesota State Chartbook

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August 25, 2010 www.shadac.org i

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


www.shadac.org/shap

Minnesota SHAP Grantee Organization: State of Minnesota, Department of Human Services

Project Director

Cara Bailey

Ph. 651-431-4935


mailto:[email protected]










August 25, 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, <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



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 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





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.





Exhibit 2.1: Sub-State Uninsurance Estimates, Age 0-64, ACS 2008


* 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.





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 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





Exhibit 2.3: Sub-State Uninsurance Estimates, Age 0-64, <200% FPL, ACS 2008


* Statistically different from the state uninsurance estimate for people age 0-64 under 200% FPL (21.0%).








Exhibit 2.4: Demographic Profile by Source of Health Insurance Coverage,

Age 0-64, <200% FPL, ACS 2008




Population Uninsured Insured

Private

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


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





Exhibit 2.5: Sub-State Uninsurance Estimates, Age 0-64 by Federal Poverty Level (FPL), ACS 2008


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










GovernmentCoverage

(000) % SE % SE % SE % SE


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








^ Data are suppressed for sub-state areas with fewer than 50 observations.












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.


All PovertyLevels

<200% FPL

% SE % SE

County


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


Blu e Ear th, Nic oll et , Was eca 4.4 1.7 16.8 7.2


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




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



He nn ep i n 8.1 1.3 19.8 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 -- --










GovernmentCoverage

(000) % SE % SE % SE % SE


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





Exhibit 4.4: Demographic Profile by Source of Health Insurance Coverage,

Age 19-64, <200% FPL, ACS 2008




Population Uninsured Insured

Private

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


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









county.

* Statistically different from the state uninsurance estimate for population group (Age 19-64, 11.0%; Age 19-64 <200% FPL, 25.5%).


All PovertyLevels

<200% FPL

% SE % SE

County


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


Blu e Ear th, Nic oll et , Was eca 5.7 * 1.0 11.0 * 3.0


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




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



He nn e pi n 12.3 0.8 30.4 2.5


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





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




http://www.shadac.org/shap/technical-assistance/data


http://www.shadac.org/shap/technical-assistance/HRSA-Benchmarks


http://www.shadac.org/shap/technical-assistance/evaluations


http://www.shadac.org/shap/technical-assistance/surveys


http://www.shadac.org/shap/technical-assistance/%20state-reform-research-and-strategies












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.

http://www.shadac.org/content/acs-info-and-resources










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






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






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.



h d 24


Appendix E. Minnesota Map of County Boundaries

Source: U.S. Census Bureau.

Minnesota State Chartbook

Documents

Transcript of Minnesota State Chartbook