SHAPChartbook VA May2011

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VirginiaSHAP Grantee Chartbook

Health Insurance Coverage Estimatesfrom the 2009 American Community Survey (ACS)

Prepared for:

State Health Access Program (SHAP)

Last Updated: May 3, 2011



May 3, 2011 www.shadac.org i

Virginia 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

Virginia SHAP Grantee Organization: Virginia Department of Health

Office of Minority Health and Public Policy

Project Director

Kathy H. Wibberly

Ph. 804-864-7426


mailto:[email protected]










May 3, 2011 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, ACS2009 ......................................................................................................................................................... 1

Maps and Data Tables ................................................................................................................................... 2

Exhibit 2.1: Sub-State Uninsurance Estimates, Age 0-64, ACS 2009 ....................................................... 3

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

ACS 2009 .................................................................................................................................................. 4

Exhibit 2.3: Sub-State Uninsurance Estimates, Age 0-64, <200% FPL, ACS 2009 .................................... 5


<200% FPL, ACS 2009 ............................................................................................................................... 6

Exhibit 2.5: Sub-State Uninsurance Estimates, Age 0-64 by Federal Poverty Level

(FPL), ACS 2009 ........................................................................................................................................ 7

Exhibit 3.1: Sub-State Uninsurance Estimates, Age 0-18, ACS 2009 ....................................................... 9


ACS 2009 ................................................................................................................................................ 10

Exhibit 3.3: Sub-State Uninsurance Estimates, Age 0-18, <200% FPL, ACS 2009 .................................. 11


<200% FPL, ACS ...................................................................................................................................... 12


(FPL), ACS 2009 ...................................................................................................................................... 13

Exhibit 4.1: Sub-State Uninsurance Estimates, Age 19-64, ACS 2009 ................................................... 15


ACS 2009 ................................................................................................................................................ 16

Exhibit 4.3: Sub-State Uninsurance Estimates, Age 19-64, <200% FPL, ACS 2009 ................................ 17


<200% FPL, ACS ...................................................................................................................................... 18


(FPL), ACS 2009 ...................................................................................................................................... 19

Appendix A. Technical Assistance Available from SHADAC ....................................................................... 21

Appendix B. Data Source ............................................................................................................................ 22

Appendix C: Metro Area Sub-state (PUMA) Maps ..................................................................................... 23

Appendix D. Virginia Map of Major Cities .................................................................................................. 27

Appendix E. Virginia Map of County Boundaries ....................................................................................... 28

http://sph-hpm2.ad.umn.edu/sph-hpm2$/shares3/ShaDAC/Shared/SHAP/_Technical%20Assistance/Chartbook/Books/Virginia/SHAPChartbook_VA.docx%23_Toc291841111


















May 3, 2011 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 2009 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 Virginia is shown in Exhibit 1. In 2009, 86.6% of the total

population age 0-64 had health insurance coverage. Three quarters (76.9%) had private coverage, while

12.7% reported having government coverage. This is in contrast to individuals under 200% of the

Federal Poverty Level (FPL), of which only 71.4% had insurance, with 41.6% having private coverage, and

34.0% having government coverage.

Exhibit 1: Any Source of Health Insurance Coverage by Poverty Level, Age 0-64, ACS 2009

Source: U.S. Census Bureau, 2009 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.

13.4%

86.6%

76.9%

12.7%

28.6%

71.4%

41.6%

34.0%

0%

20%

40%

60%

80%

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.





E x h i b i t 2 . 1 : S u b - S t a t e U n i n s u r a n c e E s t i m a t e s , A g e 0 - 6

4 , A C S 2 0 0 9

S o u r c e : U . S . C e n s u s B u r e a

u , 2 0 0 9 A m e r i c a n C o m m u n i t y S u r v e y .

* S t a t i s t i c a l l y d i f f e r e n t f r o m t

h e s t a t e u n i n s u r a n c e e s t i m a t e f o r p e o p

l e a g e 0 - 6 4 ( 1 3 . 4 % ) .

N o t e : S u b - s t a t e a r e a s a r e

t y p i c a l l y c o l l e c t i o n s o f c o u n t i e s a n d r e f l e c

t t h e l o w e s t l e v e l o f g e o g r a p h y a v a i l a b l e f

o r a s i n g l e y e a r o f A C S d a t a . I n m o s t m e t r

o a r e a s s u b -

c o u n t y e s t i m a t e s a r e a v a i l a b l e .





Exhibit 2.2: Demographic Profile by Source of Health Insurance Coverage, Age 0-64, ACS 2009

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 529 33.4 1.44 66.6 1.44 54.6 1.63 14.2 0.93

White Alone 4,347 9.8 0.24 90.2 0.24 82.9 0.35 10.0 0.26

Black Alone 1,305 16.9 0.59 83.1 0.59 64.8 0.89 22.8 0.78

Asian Alone 357 15.9 1.15 84.1 1.15 81.6 1.25 3.7 0.48

Mult ip le/other

non-Hispanic189 10.9 1.40 89.1 1.40 74.2 1.99 18.8 1.64

Tota l 6,726 13.4 0.25 86.6 0.25 76.9 0.35 12.7 0.25

Ag e0-18 1,978 7.0 0.35 93.0 0.35 73.9 0.61 21.8 0.57

19-24 757 26.3 0.79 73.7 0.79 67.8 0.85 7.0 0.46

25-44 1,949 18.0 0.45 82.0 0.45 76.6 0.49 7.6 0.28

45-64 2,043 10.5 0.29 89.5 0.29 83.4 0.35 11.1 0.26

Tota l 6,726 13.4 0.25 86.6 0.25 76.9 0.35 12.7 0.25

Poverty Level

0 -99% FPL 1,077 29.7 0.81 70.3 0.81 33.4 0.92 41.0 0.94

100-199% FPL 573 26.5 1.12 73.5 1.12 57.0 1.33 21.0 0.99

200-399% FPL 1,950 15.0 0.48 85.0 0.48 79.1 0.58 8.9 0.35

400%+ FPL 2,995 4.4 0.21 95.6 0.21 94.5 0.23 3.6 0.14

Tota l 6,595 13.6 0.26 86.4 0.26 76.7 0.35 12.8 0.25

Se x

Male 3,304 14.8 0.32 85.2 0.32 75.8 0.40 12.9 0.29

Female 3,423 12.0 0.28 88.0 0.28 77.9 0.39 12.6 0.31

Tota l 6,726 13.4 0.25 86.6 0.25 76.9 0.35 12.7 0.25

Work Status

Not work ing 900 20.6 0.61 79.4 0.61 58.7 0.73 28.1 0.63

Part -t ime 804 23.2 0.66 76.8 0.66 70.7 0.72 8.1 0.44

F u l l - t i m e 3,178 12.7 0.30 87.3 0.30 85.6 0.31 3.9 0.14

Tota l 4,882 15.9 0.28 84.1 0.28 78.2 0.31 9.1 0.19





E x h i b i t 2 . 3 : S u b - S t a t e U n i n s u r a n c e E s t i m a t e s , A g e 0 - 6 4 , < 2 0

0 % F P L , A C S 2 0 0 9



* S t a t i s t i c a l l y d i f f e r e n t f r o m

t h e s t a t e u n i n s u r a n c e e s t i m a t e f o r p e o p

l e a g e 0 - 6 4 u n d e r 2 0 0 %

F P L ( 2 8 . 6 % ) .


t y p i c a l l y c o l l e c t i o n s o f c o u n t i e s a n d r e f l e c t t h e l o w e s t l e v e l o f g e o g r a p h y a v a i l a b l e f o r a s i n g l e y e a r o f A C S d a t a . I n m o s t m e t r o a r e a s s u b -






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

Age 0-64, <200% FPL, ACS 2009




Population Uninsured Insured

Private

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


Hispanic 205 50.1 2.26 49.9 2.26 27.4 2.25 24.8 1.74

White Alone 837 25.4 0.78 74.6 0.78 47.6 1.06 31.3 0.95

Black Alone 499 25.1 1.12 74.9 1.12 36.1 1.45 44.1 1.48

Asian Alone 62 38.5 3.93 61.5 3.93 53.2 4.18 10.1 2.16

Mult ip le/other

non-Hispanic48 15.8 2.51 84.2 2.51 39.9 4.03 47.8 4.04

Tota l 1,650 28.6 0.66 71.4 0.66 41.6 0.80 34.0 0.74Ag e

0-18 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30

19-24 259 39.2 1.56 60.8 1.56 48.0 1.67 14.3 1.16

25-44 435 42.1 1.16 57.9 1.16 39.5 1.13 21.4 0.95

45-64 360 31.4 1.00 68.6 1.00 44.4 1.09 30.3 0.95

Tota l 1,650 28.6 0.66 71.4 0.66 41.6 0.80 34.0 0.74

Poverty Level

0 -99% FPL 1,077 29.7 0.81 70.3 0.81 33.4 0.92 41.0 0.94

100-199% FPL 573 26.5 1.12 73.5 1.12 57.0 1.33 21.0 0.99

200-399% FPL -- -- -- -- -- -- -- -- --

400%+ FPL -- -- -- -- -- -- -- -- --

Tota l 1,650 28.6 0.66 71.4 0.66 41.6 0.80 34.0 0.74

Se x

Male 769 31.2 0.87 68.8 0.87 39.6 0.96 33.4 0.90

Female 881 26.3 0.75 73.7 0.75 43.4 0.92 34.6 0.87

Tota l 1,650 28.6 0.66 71.4 0.66 41.6 0.80 34.0 0.74

Work Status

Not work ing 390 32.6 1.08 67.4 1.08 31.0 1.04 42.3 1.12

Part -t ime 258 42.4 1.44 57.6 1.44 43.8 1.47 16.4 1.13

F u l l - t i m e 435 38.5 1.10 61.5 1.10 54.0 1.13 10.0 0.66

Tota l 1,082 37.3 0.74 62.7 0.74 43.3 0.77 23.1 0.63





Exhibit 2.5: Sub-State Uninsurance Estimates, Age 0-64 by Federal Poverty Level (FPL), ACS 2009

Al l PovertyL e v e l s

<200% FPL

% S E % S E

CountySub-state

area

Ar l ington 00100 12 .6 1 .81 37 .1 7 .46

Alexandr ia~ 00200 12 .6 1 .85 34 .7 6 .56

Fa ir fax (part ) , Fa l ls Church~ 00301 16 .5 1 .76 34 .7 4 .28

Fa ir fax (part ) 00302 13 .7 1 .81 35 .0 5 .84

Fa ir fax~, Fa ir fax (part ) 00303 10 .6 1 .55 34 .9 6 .30

Fa ir fax (part ) 00304 11 .8 2 .07 47 .7 * 8 .70

Fa ir fax (part ) 00305 7 .2 * 1 .14 23 .1 4 .48Freder ick , Shenandoah, Winchester~ 00400 16 .0 1 .77 33 .5 4 .05

Manassas~, Manassas Park~, Pr ince Wil l iam (part ) 00501 16 .3 1 .95 57 .1 * 6 .05

Pr ince Wil l iam (part ) 00502 12 .9 1 .53 36 .6 4 .90

Clarke, Fauquier , Loudoun, Warren 00600 8 .1 * 0 .86 32 .7 4 .53

Harr isonburg~, Lou isa , Madison, Orange, Page,

Rappahannock, Rock ingham00700 14 .5 1 .35 29 .5 3 .12

King George, Staf ford 00800 10 .4 * 1 .48 22 .3 4 .95

Culpeper , Freder icksburg~, Spotsylvan ia 00900 11 .4 1 .41 24 .4 3 .56

Albemar le, Char lottesvi l l e~ , F luvanna, Greene 01000 11 .0 1 .47 19 .8 * 3 .79

Al leghany, Augusta , Bath , Buena Vista~, C l i f ton

Forge~, Covington~, Cra ig, H igh land, Lexington~,

Nelson, Rockbr idge, Staunton~, Waynesboro~

01100 15 .3 1 .52 29 .0 3 .72

Richmond~ 01200 20 .1 * 1 .78 30 .5 3 .04

Henr ico 01300 14 .0 1 .31 33 .3 3 .49

Chester f ie ld 01400 10 .8 * 1 .10 28 .2 3 .81

Goochland, Hanover , Powhatan 01500 7 .6 * 1 .48 32 .7 7 .48

Roanoke~, Sa lem~ 01600 19 .9 * 1 .96 34 .3 3 .59

Botetourt , Roanoke 01700 10 .3 1 .77 18 .0 * 4 .70

Amherst , Bedford~, Bedford , Campbel l , Lynchburg~ 01800 13 .1 1 .27 26 .8 2 .74

Accomack, Caro l ine, Essex, K ing and Queen, K ing

Wil l iam, Lancaster , Middlesex, Northampton,

Northumber land, Richmond, Westmoreland

01900 15 .7 1 .75 28 .8 4 .26

Newport News~ 02000 15 .1 1 .56 26 .4 3 .39

Hampton~ 02100 14 .2 1 .88 17 .4 * 3 .77

Gloucester , James~, Mathews, Poquoson~,

Wil l iamsburg~, York02200 8 .0 * 1 .14 23 .1 4 .64

Char les~, Co lon ia l Heights~, D inwiddie, Hopewel l~ ,

New Kent , Petersburg~, Pr ince George02300 20 .1 * 2 .39 27 .0 4 .58

Floyd, Gi les, Montgomery, Pu lask i , Radford~ 02400 13 .2 1 .42 23 .2 3 .07

Dickenson, Lee, Norton~, Russel l , Wise 02500 14 .6 1 .79 23 .5 3 .19

Br isto l~ , Scott , Smyth, Washington 02600 19 .7 * 2 .02 32 .8 3 .65





Al l Poverty

L e v e l s <200% FPL

% S E % S E

CountySub-state

areaBland, Buchanan, Carro l l , Ga lax~, Grayson, Tazewel l ,

Wythe02700 16 .8 1 .77 25 .3 3 .08

Virgin ia Beach~ (part ) 02801 11 .0 1 .71 23 .6 4 .54



Norfo lk~ 02900 19 .0 * 1 .62 26 .3 2 .79

Chesapeake~ 03000 11 .9 1 .56 32 .7 4 .41

Is le of Wight , Portsmouth~, Suf fo lk~ 03100 12 .6 1 .38 21 .6 * 3 .17

Brunswick , Empor ia~, Frankl in~, Greensvi l le ,

Lunenburg, Mecklenburg, Southampton, Surry, Sussex03200 19 .6 * 2 .29 27 .5 3 .91

Frankl in , Henry, Mart insvi l le~ , Patr ick 03300 17 .4 2 .17 28 .3 3 .89

Amel ia , Appomattox, Buck ingham, Char lotte,

Cumber land, Ha l i fax, Nottoway, Pr ince Edward03400 15 .1 2 .61 16 .9 * 3 .43

Danvi l le~ , P i t tsylvan ia 03500 18 .3 * 2 .26 26 .5 3 .81


Sub-state areas (also called PUMAs, or Public Use Microdata Areas) 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. See

Appendix C for maps of metro areas that have more than one sub-state area.

~ Independent city.

* Statistically different from the state uninsurance estimate for population group (Age 0-64, 13.4%; Age 0-64 <200% FPL,

28.6%).






E x h i b i t 3 . 1 : S u b - S t a t e U n i n s u r a n c e E s t i m a t e s , A g e 0 - 1

8 , A C S 2 0 0 9





l e a g e 0 - 1 8 ( 7 . 0 % ) .













GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 204 20.6 1.96 79.4 1.96 52.7 2.32 30.1 2.10

White Alone 1,164 4.4 0.30 95.6 0.30 82.6 0.62 15.1 0.61

Black Alone 417 6.9 0.81 93.1 0.81 58.5 1.54 38.7 1.54

Asian Alone 94 12.6 1.72 87.4 1.72 81.5 2.07 6.9 1.35

Mult ip le/other

non-Hispanic99 4.1 1.27 95.9 1.27 71.7 2.64 26.6 2.55

Tota l 1,978 7.0 0.35 93.0 0.35 73.9 0.61 21.8 0.57

Ag e0-18 1,978 7.0 0.35 93.0 0.35 73.9 0.61 21.8 0.57

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

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

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

Tota l 1,978 7.0 0.35 93.0 0.35 73.9 0.61 21.8 0.57

Poverty Level

0 -99% FPL 394 12.4 1.09 87.6 1.09 28.1 1.46 64.6 1.55

100-199% FPL 203 12.6 1.43 87.4 1.43 59.4 2.08 33.8 2.01

200-399% FPL 608 7.4 0.62 92.6 0.62 82.3 0.90 12.4 0.76

400%+ FPL 705 2.2 0.29 97.8 0.29 96.3 0.37 2.6 0.29

Tota l 1,910 7.0 0.36 93.0 0.36 73.8 0.62 21.8 0.58

Se x

Male 1,011 7.2 0.43 92.8 0.43 73.9 0.72 21.8 0.68

Female 967 6.8 0.46 93.2 0.46 73.9 0.76 21.8 0.71

Tota l 1,978 7.0 0.35 93.0 0.35 73.9 0.61 21.8 0.57

Work Status

Not work ing 48 10.9 1.91 89.1 1.91 74.9 2.77 16.0 2.44

Part -t ime 68 8.9 1.47 91.1 1.47 85.5 1.78 8.7 1.54

F u l l - t i m e 18 15.3 3.46 84.7 3.46 73.9 4.56 10.8 3.72

Tota l 134 10.5 1.12 89.5 1.12 80.2 1.50 11.6 1.28





E x h i b i t 3 . 3 : S u b - S t a t e U n i n s u r a n c e E s t i m a t e s , A g e 0 - 1 8 , < 2 0

0 % F P L , A C S 2 0 0 9





l e a g e 0 - 1 8 u n d e r 2 0 0 %

F P L ( 1 2 . 4 % ) .

^ D a t a a r e s u p p r e s s e d f o r s u b - s t a t e a r e a s w i t h f e w e r t h a n 5 0 o b s e r v

a t i o n s .









Age 0-18, <200% FPL, ACS 2009



* Sample size for this subpopulation is not sufficient to provide an estimate.


Population Uninsured InsuredPrivate

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


Hispanic 86 29.2 3.41 70.8 3.41 24.8 3.23 51.2 3.57

White Alone 260 9.4 0.93 90.6 0.93 48.2 1.87 47.7 1.86

Black Alone 203 8.4 1.35 91.6 1.35 32.8 2.17 64.6 2.26

Asian Alone 18 36.3 6.11 63.7 6.11 45.5 6.29 21.4 5.60

Mult ip le/other

non-Hispanic30 3.9 2.12 96.1 2.12 33.5 5.01 65.8 5.13

Tota l 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30Ag e

0-18 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30

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

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

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

Tota l 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30

Poverty Level

0 -99% FPL 394 12.4 1.09 87.6 1.09 28.1 1.46 64.6 1.55

100-199% FPL 203 12.6 1.43 87.4 1.43 59.4 2.08 33.8 2.01

200-399% FPL -- -- -- -- -- -- -- -- --

400%+ FPL -- -- -- -- -- -- -- -- --

Tota l 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30

Se x

Male 305 12.6 1.06 87.4 1.06 38.8 1.51 54.1 1.56

Female 292 12.3 1.10 87.7 1.10 38.7 1.57 54.0 1.61

Tota l 597 12.4 0.87 87.6 0.87 38.8 1.27 54.1 1.30

Work Status

Not work ing 14 17.5 4.39 82.5 4.39 41.8 6.32 44.1 6.27

Part -t ime 11 24.5 5.63 75.5 5.63 51.1 7.31 33.9 5.81

F u l l - t i m e * 4 -- -- -- -- -- -- -- --

Tota l 29 22.0 3.35 78.0 3.35 44.3 4.49 38.9 4.10





Exhibit 3.5: Sub-State Uninsurance Estimates, Age 0-18 by Federal Poverty Level (FPL), ACS 2009

Al l PovertyL e v e l s

<200% FPL

% S E % S E

CountySub-state

area

Ar l ington 00100 13 .9 4 .32 - - - -

Alexandr ia~ 00200 5 .2 2 .67 9 .6 6 .84

Fa ir fax (part ) , Fa l ls Church~ 00301 10 .4 2 .87 13 .0 7 .29

Fa ir fax (part ) 00302 7 .3 2 .48 17 .5 7 .43

Fa ir fax~, Fa ir fax (part ) 00303 6 .6 2 .14 17 .8 8 .80

Fa ir fax (part ) 00304 7 .9 2 .62 - - - -

Fa ir fax (part ) 00305 3 .2 * 1 .17 - - - -Freder ick , Shenandoah, Winchester~ 00400 8 .1 2 .12 12 .4 4 .27

Manassas~, Manassas Park~, Pr ince Wil l iam (part ) 00501 9 .5 2 .56 43 .4 * 10 .59

Pr ince Wil l iam (part ) 00502 7 .6 1 .79 14 .3 5 .37

Clarke, Fauquier , Loudoun, Warren 00600 5 .5 1 .12 22 .6 6 .13

Harr isonburg~, Lou isa , Madison, Orange, Page,

Rappahannock, Rock ingham00700 8 .9 1 .88 15 .3 4 .13

King George, Staf ford 00800 7 .6 1 .93 12 .4 4 .70

Culpeper , Freder icksburg~, Spotsylvan ia 00900 5 .3 1 .59 7 .3 3 .18

Albemar le, Char lottesvi l l e~ , F luvanna, Greene 01000 8 .2 2 .48 14 .8 6 .13

Al leghany, Augusta , Bath , Buena Vista~, C l i f ton

Forge~, Covington~, Cra ig, H igh land, Lexington~,

Nelson, Rockbr idge, Staunton~, Waynesboro~

01100 7 .6 2 .03 8 .9 3 .90

Richmond~ 01200 8 .9 2 .62 15 .5 4 .70

Henr ico 01300 8 .5 2 .08 18 .6 5 .67

Chester f ie ld 01400 5 .7 1 .63 11 .7 4 .77

Goochland, Hanover , Powhatan 01500 6 .7 2 .82 39 .2 14 .13

Roanoke~, Sa lem~ 01600 3 .4 * 1 .66 4 .6 * 2 .89

Botetourt , Roanoke 01700 9 .4 3 .53 7 .0 5 .19

Amherst , Bedford~, Bedford , Campbel l , Lynchburg~ 01800 6 .0 1 .47 10 .6 3 .29

Accomack, Caro l ine, Essex, K ing and Queen, K ing

Wil l iam, Lancaster , Middlesex, Northampton,

Northumber land, Richmond, Westmoreland

01900 7 .4 2 .42 14 .1 5 .92

Newport News~ 02000 7 .8 2 .23 11 .3 3 .86

Hampton~ 02100 4 .9 1 .74 4 .3 * 2 .60

Gloucester , James~, Mathews, Poquoson~,

Wil l iamsburg~, York02200 3 .2 * 0 .99 7 .2 3 .29

Char les~, Co lon ia l Heights~, D inwiddie, Hopewel l~ ,

New Kent , Petersburg~, Pr ince George02300 12 .3 3 .99 11 .2 5 .86

Floyd, Gi les, Montgomery, Pu lask i , Radford~ 02400 5 .7 1 .57 7 .3 2 .78

Dickenson, Lee, Norton~, Russel l , Wise 02500 3 .1 * 1 .65 6 .2 3 .30

Br isto l~ , Scott , Smyth, Washington 02600 7 .3 2 .39 11 .7 4 .38





Al l Poverty


% S E % S E

CountySub-state


Wythe02700 5 .0 1 .92 4 .7 * 2 .93

Virgin ia Beach~ (part ) 02801 2 .9 * 1 .52 6 .1 4 .23


Virgin ia Beach~ (part ) 02803 3 .5 * 1 .53 8 .1 4 .73

Norfo lk~ 02900 7 .2 1 .76 7 .7 2 .52

Chesapeake~ 03000 7 .4 2 .11 18 .7 6 .13

Is le of Wight , Portsmouth~, Suf fo lk~ 03100 6 .0 1 .79 9 .1 3 .81


Lunenburg, Mecklenburg, Southampton, Surry, Sussex03200 9 .9 3 .14 13 .0 4 .66




Danvi l le~ , P i t tsylvan ia 03500 8 .3 3 .27 10 .0 5 .18





^Independent city.

* Statistically different from the state uninsurance estimate for population group (Age 0-18, 7.0%; Age 0-18 <200% FPL, 12.4%).

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






E x h i b i t 4 . 1 : S u b - S t a t

e U n i n s u r a n c e E s t i m a t e s , A g e 1 9 - 6 4 , A C S 2 0 0 9





l e a g e 1 9 - 6 4 ( 1 6 . 1 % ) .













GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 325 41.5 1.61 58.5 1.61 55.8 1.61 4.2 0.48

White Alone 3,184 11.8 0.27 88.2 0.27 83.1 0.32 8.2 0.21

Black Alone 888 21.5 0.69 78.5 0.69 67.8 0.81 15.3 0.57

Asian Alone 263 17.1 1.17 82.9 1.17 81.6 1.20 2.6 0.37

Mult ip le/other

non-Hispanic90 18.4 2.12 81.6 2.12 77.0 2.26 10.3 1.29

Tota l 4,749 16.1 0.28 83.9 0.28 78.1 0.31 9.0 0.19

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

19-24 757 26.3 0.79 73.7 0.79 67.8 0.85 7.0 0.46

25-44 1,949 18.0 0.45 82.0 0.45 76.6 0.49 7.6 0.28

45-64 2,043 10.5 0.29 89.5 0.29 83.4 0.35 11.1 0.26

Tota l 4,749 16.1 0.28 83.9 0.28 78.1 0.31 9.0 0.19

Poverty Level

0 -99% FPL 684 39.7 0.93 60.3 0.93 36.5 0.92 27.4 0.83

100-199% FPL 370 34.1 1.22 65.9 1.22 55.7 1.27 14.0 0.80

200-399% FPL 1,342 18.4 0.55 81.6 0.55 77.7 0.58 7.3 0.30

400%+ FPL 2,290 5.1 0.23 94.9 0.23 93.9 0.24 3.9 0.15

Tota l 4,685 16.2 0.28 83.8 0.28 77.9 0.32 9.1 0.19

Se x

Male 2,293 18.2 0.38 81.8 0.38 76.7 0.41 8.9 0.25

Female 2,456 14.1 0.31 85.9 0.31 79.5 0.35 9.0 0.24

Tota l 4,749 16.1 0.28 83.9 0.28 78.1 0.31 9.0 0.19

Work Status

Not work ing 853 21.1 0.63 78.9 0.63 57.8 0.74 28.8 0.64

Part -t ime 736 24.6 0.70 75.4 0.70 69.3 0.76 8.0 0.46

F u l l - t i m e 3,161 12.7 0.30 87.3 0.30 85.7 0.31 3.9 0.14

Tota l 4,749 16.1 0.28 83.9 0.28 78.1 0.31 9.0 0.19





E x h i b i t 4 . 3 : S u b - S t a t e U n i n

s u r a n c e E s t i m a t e s , A g e 1 9 - 6 4 , < 2 0 0 % F P L , A C S 2 0 0 9





l e a g e 1 9 - 6 4 u n d e r 2 0 0 %

F P L ( 3 7 . 7 % ) .









Age 19-64, <200% FPL, ACS 2009




Population Uninsured InsuredPrivate

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


Hispanic 119 65.3 2.44 34.7 2.44 29.4 2.37 5.8 0.97

White Alone 577 32.6 0.91 67.4 0.91 47.4 0.99 23.9 0.83

Black Alone 295 36.6 1.33 63.4 1.33 38.4 1.39 30.0 1.30

Asian Alone 44 39.5 3.93 60.5 3.93 56.4 4.02 5.4 1.45

Mult ip le/other

non-Hispanic18 35.5 4.77 64.5 4.77 50.4 5.15 17.7 3.22

Tota l 1,053 37.7 0.75 62.3 0.75 43.2 0.77 22.7 0.62Ag e

0-18 -- -- -- -- -- -- -- -- --

19-24 259 39.2 1.56 60.8 1.56 48.0 1.67 14.3 1.16

25-44 435 42.1 1.16 57.9 1.16 39.5 1.13 21.4 0.95

45-64 360 31.4 1.00 68.6 1.00 44.4 1.09 30.3 0.95

Tota l 1,053 37.7 0.75 62.3 0.75 43.2 0.77 22.7 0.62

Poverty Level

0 -99% FPL 684 39.7 0.93 60.3 0.93 36.5 0.92 27.4 0.83

100-199% FPL 370 34.1 1.22 65.9 1.22 55.7 1.27 14.0 0.80

200-399% FPL -- -- -- -- -- -- -- -- --

400%+ FPL -- -- -- -- -- -- -- -- --

Tota l 1,053 37.7 0.75 62.3 0.75 43.2 0.77 22.7 0.62

Se x

Male 465 43.4 1.08 56.6 1.08 40.1 1.07 19.8 0.84

Female 589 33.2 0.85 66.8 0.85 45.7 0.89 25.0 0.76

Tota l 1,053 37.7 0.75 62.3 0.75 43.2 0.77 22.7 0.62

Work Status

Not work ing 376 33.1 1.10 66.9 1.10 30.6 1.04 42.2 1.12

Part -t ime 247 43.2 1.46 56.8 1.46 43.4 1.48 15.6 1.14

F u l l - t i m e 431 38.6 1.10 61.4 1.10 54.2 1.13 9.7 0.65

Tota l 1,053 37.7 0.75 62.3 0.75 43.2 0.77 22.7 0.62







Al l Poverty


% S E % S E

County/Independent C itySub-state


Wythe02700 21 .2 * 2 .06 36 .0 3 .86




Norfo lk~ 02900 24 .3 * 1 .92 38 .3 3 .53

Chesapeake~ 03000 14 .1 1 .57 40 .6 4 .33

Is le of Wight , Portsmouth~, Suf fo lk~ 03100 15 .6 1 .58 30 .3 * 3 .69


Lunenburg, Mecklenburg, Southampton, Surry, Sussex03200 23 .1 * 2 .56 34 .9 4 .14




Danvi l le~ , P i t tsylvan ia 03500 22 .0 * 2 .48 35 .0 4 .10





~ Independent city.

* Statistically different from the state uninsurance estimate for population group (Age 19-64, 16.1%; Age 19-64 <200% FPL,

37.7%).






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, 2009 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












Source: http://www2.census.gov/geo/maps/puma/puma2k/va_puma5.pdf

http://www2.census.gov/geo/maps/puma/puma2k/va_puma5.pdf










Source: http://www2.census.gov/geo/maps/puma/puma2k/va_puma5.pdf









A p p e n d i x D

. V i r g i n i a M a p o f M a j o r C i t i e s

S o u r c e : U . S . C e n

s u s B u r e a u .




A p p e n d i x E . V i r g i n i a M a p o f C o u n t y B o u n

d a r i e s

S o u r c e : U . S . C e n s u s B u r e a u .

Documents

SHAPChartbook VA May2011