Virginia State Chartbook

8/9/2019 Virginia State Chartbook

http://slidepdf.com/reader/full/virginia-state-chartbook 1/35

VirginiaSHAP Grantee Chartbook

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

Prepared for:

State Health Access Program (SHAP)

Last Updated: August 23, 2010



August 23, 2010 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]










August 23, 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, ACS2008 ......................................................................................................................................................... 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


<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 ....................................................... 9


ACS 2008 ................................................................................................................................................ 10

Exhibit 3.3: Sub-State Uninsurance Estimates, Age 0-18, <200% FPL, ACS 2008 .................................. 11


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

Exhibit 3.5: Sub-State Uninsurance Estimates, Age 0-18 by Federal Poverty Level

(FPL), ACS 2008 ...................................................................................................................................... 13

Exhibit 4.1: Sub-State Uninsurance Estimates, Age 19-64, ACS 2008 ................................................... 15


ACS 2008 ................................................................................................................................................ 16

Exhibit 4.3: Sub-State Uninsurance Estimates, Age 19-64, <200% FPL, ACS 2008 ................................ 17


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

Exhibit 4.5: Sub-State Uninsurance Estimates, Age 19-64 by Federal Poverty Level

(FPL), ACS 2008 ...................................................................................................................................... 19

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

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

Appendix C. County Groupings in Sub-state Areas .................................................................................... 23

Appendix D. Virginia Map of Major Cities .................................................................................................. 31

Appendix E. Virginia Map of County Boundaries ....................................................................................... 32

http://p/Projects/ACS%20-%20Urban/Maps/Crosswalk/NY/chartbook/SHAPChartbook_NY.docx%23_Toc262131006


















August 23, 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 Virginia is shown in Exhibit 1. In 2008, 86.7% of the total

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

while 11.2% reported having government coverage. This is in contrast to individuals under 200% of the

Federal Poverty Level (FPL), of which only 71.1% had insurance, with 44.3% having private coverage, and

30.3% 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.

13.3%

86.7%

78.2%

11.2%

28.9%

71.1%

44.3%

30.3%

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.





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 8

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

u , 2 0 0 8 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 . 3 % ) .

N o t e : S u b - s t a t e e s t i m a t e 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 ,

b u t w h e r e p o s s i b l e t h e s u b - c o u n

t y e s t i m a t e s a r e a g g r e g a t e d t o t h e c o u n t y .





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 497 32.9 1.41 67.1 1.41 57.7 1.61 11.0 0.86

White Alone 4,319 9.9 0.25 90.1 0.25 84.2 0.34 8.6 0.22

Black Alone 1,303 16.8 0.61 83.2 0.61 66.0 0.88 20.8 0.72

Asian Alone 338 15.1 1.19 84.9 1.19 81.2 1.44 5.0 0.70

Mult ip le/other

non-Hispanic160 11.6 1.34 88.4 1.34 74.3 2.11 17.4 1.87

Tota l 6,617 13.3 0.25 86.7 0.25 78.2 0.34 11.2 0.23

Ag e0-18 1,942 7.9 0.37 92.1 0.37 75.1 0.60 19.0 0.55

19-24 609 26.3 0.87 73.7 0.87 68.4 0.93 6.6 0.49

25-44 2,048 17.3 0.42 82.7 0.42 78.6 0.45 5.9 0.22

45-64 2,018 10.5 0.31 89.5 0.31 83.9 0.36 10.5 0.25

Tota l 6,617 13.3 0.25 86.7 0.25 78.2 0.34 11.2 0.23

Poverty Level

0 -99% FPL 695 32.0 1.06 68.0 1.06 29.9 1.14 41.2 1.17

100-199% FPL 884 26.5 0.88 73.5 0.88 55.6 1.08 21.8 0.78

200-399% FPL 1,920 14.6 0.49 85.4 0.49 80.4 0.57 7.6 0.30

400%+ FPL 3,015 4.5 0.20 95.5 0.20 94.4 0.23 3.5 0.14

Tota l 6,513 13.4 0.26 86.6 0.26 78.1 0.34 11.2 0.23

Se x

Male 3,245 14.3 0.33 85.7 0.33 77.8 0.40 11.3 0.26

Female 3,372 12.4 0.28 87.6 0.28 78.7 0.38 11.2 0.28

Tota l 6,617 13.3 0.25 86.7 0.25 78.2 0.34 11.2 0.23

Work Status

Not work ing 791 20.0 0.64 80.0 0.64 60.6 0.76 27.9 0.64

Part -t ime 759 21.9 0.64 78.1 0.64 73.1 0.68 7.2 0.37

F u l l - t i m e 3,242 12.9 0.30 87.1 0.30 85.6 0.31 3.4 0.13

Tota l 4,792 15.5 0.28 84.5 0.28 79.5 0.31 8.1 0.17





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 8



* 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 . 9 % ) .


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 ,


t y e s t i m a t e s a r e a g g r e g a t e d t o t h e c o u n t y

.





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 171 50.1 2.53 49.9 2.53 31.2 2.66 20.7 1.87

White Alone 787 26.7 0.88 73.3 0.88 49.9 1.11 27.6 0.87

Black Alone 516 25.2 1.12 74.8 1.12 39.4 1.48 38.8 1.42

Asian Alone 59 34.7 3.92 65.3 3.92 52.5 4.68 14.4 2.85

Mult ip le/other

non-Hispanic46 22.9 3.62 77.1 3.62 41.0 4.35 38.9 4.78

Tota l 1,579 28.9 0.69 71.1 0.69 44.3 0.84 30.3 0.71Ag e

0-18 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34

19-24 206 36.5 1.71 63.5 1.71 52.2 1.83 13.1 1.19

25-44 453 41.8 1.13 58.2 1.13 44.3 1.16 16.0 0.77

45-64 330 32.1 1.10 67.9 1.10 44.1 1.16 29.8 0.99

Tota l 1,579 28.9 0.69 71.1 0.69 44.3 0.84 30.3 0.71

Poverty Level

0 -99% FPL 695 32.0 1.06 68.0 1.06 29.9 1.14 41.2 1.17

100-199% FPL 884 26.5 0.88 73.5 0.88 55.6 1.08 21.8 0.78

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

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

Tota l 1,579 28.9 0.69 71.1 0.69 44.3 0.84 30.3 0.71

Se x

Male 734 30.3 0.91 69.7 0.91 43.7 1.03 30.0 0.88

Female 845 27.7 0.77 72.3 0.77 44.8 0.94 30.7 0.84

Tota l 1,579 28.9 0.69 71.1 0.69 44.3 0.84 30.3 0.71

Work Status

Not work ing 339 31.7 1.14 68.3 1.14 33.6 1.15 41.6 1.16

Part -t ime 221 42.4 1.42 57.6 1.42 45.2 1.45 14.5 0.95

F u l l - t i m e 454 38.7 1.10 61.3 1.10 55.1 1.14 7.4 0.59

Tota l 1,015 37.2 0.76 62.8 0.76 45.8 0.81 20.4 0.57





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

All PovertyLevels

<200% FPL

% SE % SE

County

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

Lancaster , Middlesex, Northampton, Northumber land,

Ri ch mo nd , We st mo re la nd 17.0 1.9 28.1 4.7

Albem arle, Charl ottes vil l e^, Fluva nna, Gree ne 12.1 1.7 27.4 4.8

Al ex an dr ia ^ 12.5 2.0 34.0 6.7

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

Covington^, Cra ig, H igh land, Lexington^, Nelson, Rockbr idge,

St au nt on ^, Wa yn es bo ro ^ 16.9 * 1.7 33.3 4.1

Amel ia , Appomattox, Buck ingham, Char lotte, Cumber land,

Hal ifa x, Not tow ay, Pri nce Edw ard 17.6 2.3 27.2 3.7

Amhers t, Bedfor d^, Bedfo rd, Campb ell, Lynch burg^ 14.6 1.4 26.0 3.2

Ar li ng to n 8.3 * 1.3 25.6 5.4

Bland, Buchan an, Carro ll , Galax ^, Gray son, Tazew ell , Wythe 18.7 * 1.7 29.6 3.0

Bot et our t, Ro an ok e 8.8 * 1.6 16.6 * 4.4

Bri sto l^, Scot t, Smy th, Was hin gto n 15.8 1.8 26.4 3.1

Brunswick , Empor ia^, Frankl in^, Greensvi l le , Lunenburg,

Mec kle nbu rg, Sou tha mpt on, Sur ry, Sus se x 21.3 * 2.5 34.3 4.5

Char les^, Co lon ia l Heights^, D inwiddie, Hopewel l^ , New Kent ,

Pet ers burg ^, Pri nce Geo rge 20.1 * 2.3 34.7 5.1

Ch es ap ea ke ^ 10.6 * 1.1 25.9 3.7

Ch es te rf ie ld 11.7 1.2 30.6 3.8

Cla rke , Fau quie r, Lo udou n, War ren 10.1 * 1.0 39.3 * 4.9

Cul pep er, Fre der ick sbu rg ^, Spo tsy lva nia 10.8 1.5 21.4 4.0

Da nv il le ^, Pi tt sy lv an ia 17.3 * 1.9 32.9 3.7

Dic ken so n, Lee , Nort on^ , Rus se ll, Wis e 16.0 2.1 24.7 3.0

Fai rfa x, Fai rfa x^ , Fal ls Ch urc h^ 11.9 0.7 33.6 2.8

Flo yd, Gil es , Mon tg ome ry, Pul as ki, Rad for d^ 13.4 1.6 26.1 3.0

Fra nkl in, Hen ry, Mar tin sv ill e^ , Pat ric k 19.1 * 2.1 31.8 3.7

Fre der ick , She nan doah , Win che ste r^ 18.8 * 2.1 35.4 4.7

Glouce ster , Jame s^, Math ews, Poquo son^, Will iamsb urg^, York 6.9 * 1.2 24.3 5.2

Goo chl and , Han ove r, Pow hat an 5.3 * 0.9 17.4 * 4.6Ha mp to n^ 13.6 2.1 23.4 5.9

Harr isonburg^, Lou isa , Madison, Orange, Page, Rappahannock,

Ro ck in gh am 15.8 1.7 31.5 4.0

He nr i co 11.6 1.3 25.8 4.1

Isl e of Wig ht, Por tsm out h^, Suf fo lk^ 11.3 1.2 27.7 3.2

Ki ng Ge org e, St af fo rd 8.8 * 1.4 36.7 6.1

Mana ss as^ , Man ass as Par k^, Pri nce Wi lli am (pa rt) 15.8 1.4 39.3 * 4.8






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 where possible the sub-county

estimates are aggregated to the county.

^ Independent city.

* Statistically different from the state uninsurance estimate for population group (Age 0-64, 13.3%; Age 0-64 <200% FPL,

28.9%).


Continued: Sub-State Uninsurance Estimates,

Age 0-64 by Federal Poverty Level (FPL), ACS 2008

All Poverty

Levels<200% FPL

% SE % SE

County

Ne wp or t Ne ws ^ 12.7 1.3 21.7 * 2.8

No rf ol k^ 17.9 * 1.6 24.3 2.6

Ri ch mo nd ^ 19.8 * 1.8 29.3 3.4

Ro an oke ^, Sa le m^ 15.7 1.9 27.1 3.7

Vi rg in ia Be ac h^ 10.6 * 0.9 23.0 * 2.6





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 8





l e a g e 0 - 1 8 ( 7 . 9 % ) .




e t r o a r e a s


v a i l a b l e ,



.










GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 186 20.0 1.86 80.0 1.86 57.9 2.32 24.3 2.04

White Alone 1,165 5.7 0.40 94.3 0.40 83.7 0.61 12.6 0.54

Black Alone 418 8.8 0.88 91.2 0.88 57.9 1.55 36.0 1.52

Asian Alone 87 9.6 1.57 90.4 1.57 81.5 2.62 9.2 2.09

Mult ip le/other

non-Hispanic86 6.0 1.50 94.0 1.50 73.2 3.03 22.4 2.98

Tota l 1,942 7.9 0.37 92.1 0.37 75.1 0.60 19.0 0.55

Ag e0-18 1,942 7.9 0.37 92.1 0.37 75.1 0.60 19.0 0.55

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

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

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

Tota l 1,942 7.9 0.37 92.1 0.37 75.1 0.60 19.0 0.55

Poverty Level

0 -99% FPL 268 16.2 1.53 83.8 1.53 24.4 1.66 62.9 1.98

100-199% FPL 322 13.3 1.21 86.7 1.21 56.0 1.72 35.1 1.63

200-399% FPL 600 8.1 0.62 91.9 0.62 83.3 0.86 10.0 0.67

400%+ FPL 701 2.3 0.28 97.7 0.28 96.2 0.37 2.5 0.28

Tota l 1,890 8.0 0.38 92.0 0.38 75.1 0.61 19.0 0.56

Se x

Male 999 7.8 0.46 92.2 0.46 75.3 0.72 18.9 0.65

Female 943 8.0 0.45 92.0 0.45 74.9 0.73 19.1 0.67

Tota l 1,942 7.9 0.37 92.1 0.37 75.1 0.60 19.0 0.55

Work Status

Not work ing 36 13.7 2.88 86.3 2.88 72.1 3.43 19.1 2.93

Part -t ime 64 10.5 1.69 89.5 1.69 83.2 1.93 7.4 1.20

F u l l - t i m e 17 19.5 3.96 80.5 3.96 74.9 4.62 5.6 3.15

Tota l 117 12.8 1.43 87.2 1.43 78.6 1.68 10.7 1.23





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 8





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

F P L ( 1 4 . 6 % ) .

^ 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 .




e t r o a r e a s


v a i l a b l e ,



.






Age 0-18, <200% FPL, ACS 2008



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


Population Uninsured InsuredPrivate

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


Hispanic 73 28.3 3.66 71.7 3.66 32.6 3.97 42.2 4.00

White Alone 247 14.1 1.40 85.9 1.40 49.1 1.88 41.9 1.84

Black Alone 225 10.5 1.37 89.5 1.37 36.1 2.15 56.7 2.27

Asian Alone 18 20.9 5.46 79.1 5.46 46.7 7.75 33.1 7.30

Mult ip le/other

non-Hispanic28 12.6 4.12 87.4 4.12 40.7 5.77 49.8 6.29

Tota l 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34Ag e

0-18 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34

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

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

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

Tota l 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34

Poverty Level

0 -99% FPL 268 16.2 1.53 83.8 1.53 24.4 1.66 62.9 1.98

100-199% FPL 322 13.3 1.21 86.7 1.21 56.0 1.72 35.1 1.63

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

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

Tota l 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34

Se x

Male 308 14.2 1.15 85.8 1.15 42.7 1.57 47.1 1.59

Female 282 15.1 1.15 84.9 1.15 40.5 1.54 48.4 1.58

Tota l 590 14.6 0.96 85.4 0.96 41.6 1.30 47.7 1.34

Work Status

Not work ing 11 24.9 6.96 75.1 6.96 34.4 6.51 46.1 7.19

Part -t ime 11 29.7 6.02 70.3 6.02 42.9 5.86 29.5 5.22

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

Tota l 26 26.8 4.10 73.2 4.10 41.1 4.13 35.2 4.11






All PovertyLevels

<200% FPL

% SE % SE

County




Albem arle, Charl ottes vil l e^, Fluva nna, Gree ne 8.1 2.4 17.5 7.1

Al ex an dr ia ^ 6.6 3.4 -- --



St au nt on ^, Wa yn es bo ro ^ 12.5 3.1 20.7 6.8


Hal ifa x, Not tow ay, Pri nce Edw ard 9.5 3.0 12.9 4.3


Ar li ng to n 4.2 * 1.7 -- --

Bland, Buchan an, Carro ll , Galax ^, Gray son, Tazew ell , Wythe 5.9 1.8 7.3 * 3.0

Bot et ou rt , Ro an ok e 6.9 2.2 13.5 7.1



Mec kle nbu rg, Sou tha mpt on, Sur ry, Sus se x 12.7 3.2 18.3 5.5



Ch es ap ea ke ^ 3.9 * 1.0 7.0 * 2.9

Ch es te rf ie ld 7.3 1.8 14.6 5.4

Cla rke , Fau qui er, Lo udou n, War ren 5.0 * 1.1 17.0 6.6

Cul pep er, Fre der ick sbu rg ^, Spo tsy lva nia 6.2 1.6 6.4 * 2.7

Danv il le^ , Pi tts yl van ia 8.2 2.6 15.3 5.1


Fai rfa x, Fai rfa x^ , Fal ls Ch urc h^ 7.2 0.9 15.2 3.4

Floy d, Gile s, Montg omery , Pulas ki, Radfor d^ 6.8 2.2 14.5 5.2

Fra nkl in, Hen ry, Mar tin sv ill e^ , Pat ric k 11.1 3.2 13.4 4.8

Fre der ick , She nan doah , Win che ste r^ 11.8 3.0 17.1 6.2

Glouce ster , James ^, Math ews, Poquos on^, Will iams burg^, York 3.1 * 1.6 10.9 6.4

Goo chl and , Han ove r, Pow hat an 1.6 * 0.8 -- --Ha mp to n^ 6.5 2.7 12.6 6.3


Ro ck in gh am 15.3 * 3.2 29.0 * 7.2

He nr i co 7.4 2.0 14.6 5.6

Isl e of Wi ght , Por tsm out h^, Suf fol k^ 4.5 * 1.7 8.5 4.2

Ki ng Ge org e, St af fo rd 5.8 1.7 22.1 8.2

Manass as^, Manas sas Park^ , Pr ince Will iam (part) 12.1 2.2 24.0 6.1






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 where possible the sub-county

estimates are aggregated to the county.

^Independent city.

* Statistically different from the state uninsurance estimate for population group (Age 0-18, 7.9%; Age 0-18 <200% FPL,

14.6%).

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


Continued: Sub-State Uninsurance Estimates,

Age 0-18 by Federal Poverty Level (FPL), ACS 2008

All Poverty

Levels<200% FPL

% SE % SE

County

Ne wp or t Ne ws ^ 4.4 * 1.4 6.1 * 2.3

No rf ol k^ 8.4 1.9 9.6 2.9

Ri ch mo nd ^ 12.9 3.8 19.2 6.2

Ro an oke ^, Sa le m^ 7.2 2.8 12.7 5.2

Vi rg in ia Be ac h^ 7.6 1.6 15.1 4.8





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 8





l e a g e 1 9 - 6 4 ( 1 5 . 5 % ) .




e t r o a r e a s


v a i l a b l e ,



.










GovernmentCoverage

(000) % SE % SE % SE % SE


Hispanic 312 40.6 1.62 59.4 1.62 57.6 1.62 3.2 0.40

White Alone 3,154 11.5 0.27 88.5 0.27 84.4 0.31 7.2 0.18

Black Alone 885 20.6 0.71 79.4 0.71 69.8 0.80 13.7 0.51

Asian Alone 251 17.0 1.28 83.0 1.28 81.2 1.33 3.5 0.52

Mult ip le/other

non-Hispanic74 18.1 1.83 81.9 1.83 75.6 2.04 11.6 1.39

Tota l 4,675 15.5 0.28 84.5 0.28 79.6 0.31 8.0 0.17

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

19-24 609 26.3 0.87 73.7 0.87 68.4 0.93 6.6 0.49

25-44 2,048 17.3 0.42 82.7 0.42 78.6 0.45 5.9 0.22

45-64 2,018 10.5 0.31 89.5 0.31 83.9 0.36 10.5 0.25

Tota l 4,675 15.5 0.28 84.5 0.28 79.6 0.31 8.0 0.17

Poverty Level

0 -99% FPL 427 42.0 1.17 58.0 1.17 33.3 1.18 27.6 0.99

100-199% FPL 562 34.0 0.98 66.0 0.98 55.4 1.04 14.2 0.62

200-399% FPL 1,320 17.6 0.55 82.4 0.55 79.1 0.58 6.5 0.27

400%+ FPL 2,313 5.2 0.23 94.8 0.23 93.9 0.24 3.8 0.15

Tota l 4,623 15.7 0.28 84.3 0.28 79.4 0.31 8.0 0.17

Se x

Male 2,246 17.1 0.38 82.9 0.38 78.9 0.40 7.9 0.22

Female 2,429 14.1 0.31 85.9 0.31 80.2 0.36 8.1 0.23

Tota l 4,675 15.5 0.28 84.5 0.28 79.6 0.31 8.0 0.17

Work Status

Not work ing 755 20.3 0.64 79.7 0.64 60.1 0.76 28.3 0.65

Part -t ime 695 22.9 0.68 77.1 0.68 72.2 0.71 7.2 0.39

F u l l - t i m e 3,225 12.8 0.30 87.2 0.30 85.7 0.31 3.4 0.13

Tota l 4,675 15.5 0.28 84.5 0.28 79.6 0.31 8.0 0.17





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 8





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

F P L ( 3 7 . 5 % ) .




e t r o a r e a s


v a i l a b l e ,



.






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




Population Uninsured InsuredPrivate

Coverage

Government

Coverage

(000) % SE % SE % SE % SE


Hispanic 99 66.1 2.66 33.9 2.66 30.1 2.61 4.9 0.86

White Alone 540 32.4 0.94 67.6 0.94 50.3 1.07 21.0 0.75

Black Alone 291 36.6 1.37 63.4 1.37 42.0 1.44 25.0 1.16

Asian Alone 41 40.6 4.18 59.4 4.18 55.0 4.18 6.4 1.62

Mult ip le/other

non-Hispanic18 38.5 4.54 61.5 4.54 41.3 4.62 22.3 3.98

Tota l 989 37.5 0.77 62.5 0.77 45.9 0.81 20.0 0.57Ag e

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

19-24 206 36.5 1.71 63.5 1.71 52.2 1.83 13.1 1.19

25-44 453 41.8 1.13 58.2 1.13 44.3 1.16 16.0 0.77

45-64 330 32.1 1.10 67.9 1.10 44.1 1.16 29.8 0.99

Tota l 989 37.5 0.77 62.5 0.77 45.9 0.81 20.0 0.57

Poverty Level

0 -99% FPL 427 42.0 1.17 58.0 1.17 33.3 1.18 27.6 0.99

100-199% FPL 562 34.0 0.98 66.0 0.98 55.4 1.04 14.2 0.62

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

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

Tota l 989 37.5 0.77 62.5 0.77 45.9 0.81 20.0 0.57

Se x

Male 426 42.0 1.12 58.0 1.12 44.4 1.14 17.6 0.77

Female 563 34.0 0.88 66.0 0.88 47.0 0.94 21.8 0.75

Tota l 989 37.5 0.77 62.5 0.77 45.9 0.81 20.0 0.57

Work Status

Not work ing 329 31.9 1.14 68.1 1.14 33.6 1.15 41.5 1.15

Part -t ime 210 43.1 1.47 56.9 1.47 45.3 1.48 13.7 0.95

F u l l - t i m e 450 38.9 1.11 61.1 1.11 55.2 1.14 7.3 0.58

Tota l 989 37.5 0.77 62.5 0.77 45.9 0.81 20.0 0.57






All PovertyLevels

<200% FPL

% SE % SE

County




Albem arle , Charl ottes vil l e^, Fluva nna, Green e 13.5 1.7 31.1 4.8

Al ex an dr ia ^ 14.6 2.2 49.9 7.0



St au nt on ^, Wa yn es bo ro ^ 18.4 1.7 38.9 4.6


Hal ifa x, Not tow ay, Pri nce Edw ard 20.7 * 2.5 34.8 4.3


Ar li ng to n 9.4 * 1.5 31.8 6.3

Bland, Buchan an, Carro ll , Galax ^, Gray son, Taze well , Wythe 23.3 * 2.0 39.3 3.6

Bot et our t, Ro an ok e 9.5 * 1.6 18.5 * 4.6



Mec kle nbu rg, Sou tha mpt on, Sur ry, Sus se x 24.9 * 2.8 43.6 4.9



Ch es ap ea ke ^ 13.7 1.4 39.6 4.9

Ch es te rf ie ld 13.6 1.4 41.7 4.2

Cla rke , Fau qui er, Lo udou n, War ren 12.5 * 1.2 51.4 * 5.3

Cul pep er, Fre der ick sbu rg ^, Spo tsy lva nia 12.8 1.6 31.4 4.8

Da nv il le ^, Pi tt sy lv an ia 20.6 * 2.2 41.2 4.2


Fai rfa x, Fai rfa x^ , Fal ls Ch urc h^ 13.8 0.8 44.7 * 3.2

Flo yd, Gil es , Mon tgo mer y, Pul ask i, Rad for d^ 15.7 1.9 29.6 * 3.5

Fra nkl in, Hen ry, Mar tin sv ill e^ , Pat ric k 21.9 * 2.3 40.5 4.1

Fre der ick , She nan doah , Win che ste r^ 21.6 * 2.4 46.0 5.3

Glouce ster , James ^, Math ews, Poquos on^, Will iams burg^, York 8.4 * 1.3 32.4 6.3

Goo chl and , Han ove r, Pow hat an 6.6 * 1.1 24.1 * 6.0Ha mp to n^ 16.5 2.2 32.7 6.6


Ro ck in gh am 16.0 1.5 32.8 3.5

He nr i co 13.3 1.3 34.2 3.9

Isl e of Wi ght , Por tsm out h^, Suf fol k^ 14.7 1.4 42.7 4.0

Ki ng Ge org e, St af fo rd 10.4 * 1.6 47.6 8.2

Mana ss as^ , Man ass as Par k^, Pri nce Wi lli am (pa rt) 17.6 1.4 52.4 * 4.9





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 Arlington

00200 Alexandria*

00301Fairfax (part)

Falls Church*

00302 Fairfax (part)

00303Fairfax*

Fairfax (part)



00400

Frederick

Shenandoah

Winchester*

00501

Manassas*

Manassas Park*

Prince William (part)

00502 Prince William (part)

00600

Clarke

Fauquier

Loudoun

Warren

00700

Harrisonburg*

LouisaMadison

Orange

Page

Rappahannock

Rockingham

00800King George

Stafford

00900

Culpeper

Fredericksburg*

Spotsylvania

01000

Albemarle

Charlottesville*

Fluvanna

Greene

01100Alleghany

Augusta






01100 (cont.)

Bath

Buena Vista*

Clifton Forge*Covington*

Craig

Highland

Lexington*

Nelson

Rockbridge

Staunton*

Waynesboro*

01200 Richmond*

01300 Henrico01400 Chesterfield

01500

Goochland

Hanover

Powhatan

01600Roanoke*

Salem*

01700Botetourt

Roanoke

01800

Amherst

Bedford*Bedford

Campbell

Lynchburg*

01900

Accomack

Caroline

Essex

King and Queen

King William

Lancaster

Middlesex

Northampton

Northumberland

Richmond

Westmoreland

02000 Newport News*

02100 Hampton*

02200 Gloucester






02200 (cont.)

James*

Mathews

Poquoson*Williamsburg*

York

02300

Charles*

Colonial Heights*

Dinwiddie

Hopewell*

New Kent

Petersburg*

Prince George

02400

FloydGiles

Montgomery

Pulaski

Radford*

02500

Dickenson

Lee

Norton*

Russell

Wise

02600Bristol*Scott

Smyth

Washington

02700

Bland

Buchanan

Carroll

Galax*

Grayson

Tazewell

Wythe

02801 Virginia Beach* (part)



02900 Norfolk*

03000 Chesapeake*

03100Isle of Wight

Portsmouth*






03100 (cont.) Suffolk*

03200

Brunswick

Emporia*Franklin*

Greensville

Lunenburg

Mecklenburg

Southampton

Surry

Sussex

03300

Franklin

Henry

Martinsville*Patrick

03400

Amelia

Appomattox

Buckingham

Charlotte

Cumberland

Halifax

Nottoway

Prince Edward

03500 Danville*Pittsylvania

00100 Arlington

00200 Alexandria*

00301Fairfax (part)

Falls Church*


00303Fairfax*

Fairfax (part)



00400

Frederick

Shenandoah

Winchester*

00501

Manassas*

Manassas Park*

Prince William (part)

00502 Prince William (part)






00600

Clarke

Fauquier

LoudounWarren

00700

Harrisonburg*

Louisa

Madison

Orange

Page

Rappahannock

Rockingham

00800King George

Stafford

00900

Culpeper

Fredericksburg*

Spotsylvania

01000

Albemarle

Charlottesville*

Fluvanna

Greene

01100

Alleghany

Augusta

BathBuena Vista*

Clifton Forge*

Covington*

Craig

Highland

Lexington*

Nelson

Rockbridge

Staunton*

Waynesboro*

01200 Richmond*

01300 Henrico

01400 Chesterfield

01500

Goochland

Hanover

Powhatan

01600 Roanoke*






01600 (cont.) Salem*

01700Botetourt

Roanoke

01800

Amherst

Bedford*

Bedford

Campbell

Lynchburg*

01900

Accomack

Caroline

Essex

King and Queen

King WilliamLancaster

Middlesex

Northampton

Northumberland

Richmond

Westmoreland

02000 Newport News*

02100 Hampton*

02200

Gloucester

James*Mathews

Poquoson*

Williamsburg*

York

02300

Charles*

Colonial Heights*

Dinwiddie

Hopewell*

New Kent

Petersburg*

Prince George

02400

Floyd

Giles

Montgomery

Pulaski

Radford*

02500 Dickenson






02500 (cont.)

Lee

Norton*

RussellWise

02600

Bristol*

Scott

Smyth

Washington

02700

Bland

Buchanan

Carroll

Galax*

GraysonTazewell

Wythe




02900 Norfolk*

03000 Chesapeake*

03100

Isle of Wight

Portsmouth*

Suffolk*

03200

Brunswick

Emporia*

Franklin*

Greensville

Lunenburg

Mecklenburg

Southampton

Surry

Sussex

03300

Franklin

Henry

Martinsville*

Patrick

03400

Amelia

Appomattox

Buckingham

Charlotte






03400 (cont.)

Cumberland

Halifax

NottowayPrince Edward

03500Danville*

Pittsylvania

^ 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.

*Independent city.





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 .

Virginia State Chartbook

Documents

Transcript of Virginia State Chartbook