appendix e. ranking tables · e–10 table e-11. health conditions and chronic disease-related...

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Appendix E. Ranking Tables Page State Rankings E–2 Table E-1. Area and Population E–3 Table E-2. Population Projections E–4 Table E-3. Population by Age Group E–5 Table E-4. Median Income of Households and Families in Constant (2003) Dollars E–6 Table E-5. Poverty Status of Families and Individuals in the Past 12 Months E–7 Table E-6. Value and Gross Rent of Specified Owner- and Renter-Occupied Units, Homeownership Rates, Vacancy Rates, and Housing Prices E–8 Table E-7. Cost of Living Indicators—Utilities, Gasoline, and Tax Rates E–9 Table E-8. Population by Residence E–9 Table E-9. Population by Race and Hispanic Origin—Percent of Total: 2004 E–10 Table E-10. Persons With and Without Health Insurance Coverage: 2003 E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services, Medicare, Medicaid, and State Children’s Health Insurance Program: 2003 Metropolitan Area Rankings E–12 Table E-13. Population Indicators E–17 Table E-14. Population Characteristics E–22 Table E-15. Social and Housing Indicators E–27 Table E-16. Economic Indicators E–32 Table E-17. Business and Federal Funds E–1 State and Metropolitan Area Data Book: 2006 U.S. Census Bureau

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Page 1: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Appendix E.Ranking Tables

Page State Rankings

E–2 Table E-1. Area and PopulationE–3 Table E-2. Population ProjectionsE–4 Table E-3. Population by Age GroupE–5 Table E-4. Median Income of Households and Families in Constant (2003) DollarsE–6 Table E-5. Poverty Status of Families and Individuals in the Past 12 MonthsE–7 Table E-6. Value and Gross Rent of Specified Owner- and Renter-Occupied Units, Homeownership Rates, Vacancy

Rates, and Housing PricesE–8 Table E-7. Cost of Living Indicators—Utilities, Gasoline, and Tax RatesE–9 Table E-8. Population by ResidenceE–9 Table E-9. Population by Race and Hispanic Origin—Percent of Total: 2004E–10 Table E-10. Persons With and Without Health Insurance Coverage: 2003E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001E–11 Table E-12. Social Insurance, Human Services, Medicare, Medicaid, and State Children’s Health Insurance

Program: 2003

Metropolitan Area Rankings

E–12 Table E-13. Population IndicatorsE–17 Table E-14. Population CharacteristicsE–22 Table E-15. Social and Housing IndicatorsE–27 Table E-16. Economic IndicatorsE–32 Table E-17. Business and Federal Funds

E–1State and Metropolitan Area Data Book: 2006

U.S. Census Bureau

Page 2: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-1. State Rankings — Area and Population

Geographic area

Area, 2000 Population Population per square mile of land area1 Population change,2000–2005

Total(sq. mi.) Rank

2005(1,000)

20002

(1,000)19903

(1,000)

Rank

2005 2000 1990

Rank Net change Percent change

2005 2000 1990 2005 2000 1990Number(1,000) Rank

Num-ber Rank

United States . . . 3,794,083 (X) 296,410 281,425 248,791 (X) (X) (X) 83.8 79.6 70.3 (X) (X) (X) 14,985.8 (X) 5.3 (X)

Alabama . . . . . . . . . . . 52,419 30 4,558 4,447 4,040 23 23 22 89.8 87.6 79.6 26 26 25 110.5 28 2.5 39Alaska . . . . . . . . . . . . . 663,267 1 664 627 550 47 48 49 1.2 1.1 1.0 50 50 50 36.7 43 5.9 18Arizona . . . . . . . . . . . . 113,998 6 5,939 5,131 3,665 17 20 24 52.3 45.2 32.3 35 36 37 808.7 5 15.8 2Arkansas . . . . . . . . . . . 53,179 29 2,779 2,673 2,351 32 33 33 53.4 51.3 45.1 33 34 35 105.8 30 4.0 23California . . . . . . . . . . . 163,696 3 36,132 33,872 29,811 1 1 1 231.7 217.2 191.1 11 12 12 2,260.5 1 6.7 13

Colorado . . . . . . . . . . . 104,094 8 4,665 4,302 3,294 22 24 26 45.0 41.5 31.8 37 37 38 363.2 10 8.4 8Connecticut . . . . . . . . . 5,543 48 3,510 3,406 3,287 29 29 27 724.5 702.9 678.5 4 4 4 104.7 31 3.1 32Delaware . . . . . . . . . . . 2,489 49 844 784 666 45 45 46 431.8 401.1 341.0 6 7 7 59.9 36 7.6 10District of Columbia . . . . 68 (X) 551 572 607 (X) (X) (X) 8,966.1 9,316.4 9,884.4 (X) (X) (X) –21.5 (X) –3.8 (X)Florida . . . . . . . . . . . . . 65,755 22 17,790 15,983 12,938 4 4 4 329.9 296.4 239.9 8 8 10 1,807.0 3 11.3 3

Georgia . . . . . . . . . . . . 59,425 24 9,073 8,187 6,478 9 10 11 156.7 141.4 111.9 18 18 21 885.8 4 10.8 4Hawaii . . . . . . . . . . . . . 10,931 43 1,275 1,212 1,108 42 42 41 198.5 188.6 172.6 13 13 13 63.7 35 5.3 20Idaho. . . . . . . . . . . . . . 83,570 14 1,429 1,294 1,007 39 39 42 17.3 15.6 12.2 44 44 44 135.1 25 10.4 6Illinois . . . . . . . . . . . . . 57,914 25 12,763 12,420 11,431 5 5 6 229.6 223.4 205.6 12 11 11 343.7 11 2.8 36Indiana . . . . . . . . . . . . 36,418 38 6,272 6,081 5,544 15 14 14 174.9 169.5 154.6 17 16 16 191.5 21 3.1 30

Iowa . . . . . . . . . . . . . . 56,272 26 2,966 2,926 2,777 30 30 30 53.1 52.4 49.7 34 33 33 40.0 42 1.4 44Kansas . . . . . . . . . . . . 82,277 15 2,745 2,689 2,478 33 32 32 33.5 32.9 30.3 40 40 39 55.9 37 2.1 41Kentucky . . . . . . . . . . . 40,409 37 4,173 4,042 3,687 26 25 23 105.0 101.7 92.8 22 23 23 131.1 26 3.2 28Louisiana . . . . . . . . . . . 51,840 31 4,524 4,469 4,222 24 22 21 103.8 102.6 96.9 23 22 22 54.7 38 1.2 45Maine . . . . . . . . . . . . . 35,385 39 1,322 1,275 1,228 40 40 38 42.8 41.3 39.8 38 38 36 46.6 41 3.7 25

Maryland . . . . . . . . . . . 12,407 42 5,600 5,297 4,781 19 19 19 573.0 541.9 489.1 5 5 5 303.9 12 5.7 19Massachusetts . . . . . . . 10,555 44 6,399 6,349 6,016 13 13 13 816.2 809.8 767.4 3 3 3 49.6 39 0.8 48Michigan . . . . . . . . . . . 96,716 11 10,121 9,938 9,295 8 8 8 178.2 175.0 163.6 16 15 14 182.4 22 1.8 42Minnesota . . . . . . . . . . 86,939 12 5,133 4,919 4,376 21 21 20 64.5 61.8 55.0 31 31 31 213.3 19 4.3 22Mississippi . . . . . . . . . . 48,430 32 2,921 2,845 2,575 31 31 31 62.3 60.6 54.9 32 32 32 76.4 33 2.7 37

Missouri . . . . . . . . . . . . 69,704 21 5,800 5,597 5,117 18 17 15 84.2 81.2 74.3 28 27 27 203.6 20 3.6 26Montana . . . . . . . . . . . 147,042 4 936 902 799 44 44 44 6.4 6.2 5.5 48 48 48 33.5 44 3.7 24Nebraska . . . . . . . . . . . 77,354 16 1,759 1,711 1,578 38 38 36 22.9 22.3 20.5 42 42 42 47.5 40 2.8 35Nevada . . . . . . . . . . . . 110,561 7 2,415 1,998 1,202 35 35 39 22.0 18.2 10.9 43 43 45 416.6 8 20.8 1New Hampshire. . . . . . . 9,350 46 1,310 1,236 1,109 41 41 40 146.1 137.8 123.7 19 20 18 74.2 34 6.0 17

New Jersey . . . . . . . . . 8,721 47 8,718 8,414 7,748 10 9 9 1,175.3 1,134.4 1,044.5 1 1 1 303.6 13 3.6 27New Mexico . . . . . . . . . 121,590 5 1,928 1,819 1,515 36 36 37 15.9 15.0 12.5 45 45 43 109.3 29 6.0 16New York . . . . . . . . . . . 54,556 27 19,255 18,977 17,991 3 3 2 407.8 401.9 381.0 7 6 6 277.8 14 1.5 43North Carolina. . . . . . . . 53,819 28 8,683 8,046 6,632 11 11 10 178.3 165.2 136.2 15 17 17 636.8 6 7.9 9North Dakota . . . . . . . . 70,700 19 637 642 639 48 47 47 9.2 9.3 9.3 47 47 46 –5.5 50 –0.9 50

Ohio . . . . . . . . . . . . . . 44,825 34 11,464 11,353 10,847 7 7 7 280.0 277.3 264.9 9 9 9 110.9 27 1.0 47Oklahoma . . . . . . . . . . 69,898 20 3,548 3,451 3,146 28 27 28 51.7 50.3 45.8 36 35 34 97.2 32 2.8 33Oregon . . . . . . . . . . . . 98,381 9 3,641 3,421 2,842 27 28 29 37.9 35.6 29.6 39 39 40 219.6 18 6.4 14Pennsylvania . . . . . . . . 46,055 33 12,430 12,281 11,883 6 6 5 277.3 274.0 265.1 10 10 8 148.6 24 1.2 46Rhode Island . . . . . . . . 1,545 50 1,076 1,048 1,003 43 43 43 1,029.9 1,003.2 960.3 2 2 2 27.9 45 2.7 38

South Carolina . . . . . . . 32,020 40 4,255 4,012 3,486 25 26 25 141.3 133.2 115.8 21 21 20 243.3 16 6.1 15South Dakota . . . . . . . . 77,117 17 776 755 696 46 46 45 10.2 9.9 9.2 46 46 47 21.1 46 2.8 34Tennessee . . . . . . . . . . 42,143 36 5,963 5,689 4,877 16 16 17 144.7 138.0 118.3 20 19 19 273.7 15 4.8 21Texas . . . . . . . . . . . . . 268,581 2 22,860 20,852 16,986 2 2 3 87.3 79.6 64.9 27 28 29 2,008.2 2 9.6 7Utah . . . . . . . . . . . . . . 84,899 13 2,470 2,233 1,723 34 34 35 30.1 27.2 21.0 41 41 41 236.4 17 10.6 5

Vermont . . . . . . . . . . . . 9,614 45 623 609 563 49 49 48 67.4 65.8 60.8 30 30 30 14.2 48 2.3 40Virginia . . . . . . . . . . . . 42,774 35 7,567 7,079 6,189 12 12 12 191.1 178.8 156.3 14 14 15 488.4 7 6.9 11Washington . . . . . . . . . 71,300 18 6,288 5,894 4,867 14 15 18 94.5 88.6 73.1 25 25 28 393.6 9 6.7 12West Virginia . . . . . . . . 24,230 41 1,817 1,808 1,793 37 37 34 75.5 75.1 74.5 29 29 26 8.5 49 0.5 49Wisconsin. . . . . . . . . . . 65,498 23 5,536 5,364 4,892 20 18 16 101.9 98.8 90.1 24 24 24 172.5 23 3.2 29Wyoming . . . . . . . . . . . 97,814 10 509 494 454 50 50 50 5.2 5.1 4.7 49 49 49 15.5 47 3.1 31

X Not applicable.

1Persons per square mile were calculated on the basis of land area data from the 2000 census.2The April 1, 2000, Population Estimates base reflects modifications to the Census 2000 population as documented in the Count Question Resolution program and geographic program revisions.3The April 1, 1990, census counts include corrections processed through August 1997 and results of special censuses and test censuses, and do not include adjustments for census coverage

errors.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites<http://www.census.gov/main/www/cen2000.html> and <http://www.census.gov/popest/topics/methodology/>.

Sources: Area—U.S. Census Bureau, 2000 Census of Population and Housing, Summary Population and Housing Characteristics, Series PHC-1; and unpublished data on AmericanFactFinder; Population—U.S. Census Bureau, 1990 Census of Population and Housing, Population and Housing Unit Counts (CPH-2); ‘‘Time Series of Intercensal State Population Estimates: April 1,1990 to April 1, 2000’’ (CO-EST2001-12-00), published 11 April 2002; Internet site <http://www.census.gov/popest/archives/2000s/vintage_2001/CO-EST2001-12/CO-EST2001-12-00.html>; and ‘‘AnnualEstimates of the Population for the United States and States, and for Puerto Rico: April 1, 2000 to July 1, 2005’’ (NST-EST2005-01), published 22 December 2005; Internet site<http://www.census.gov/popest/states/NST-ann-est.html>; Population change—U.S. Census Bureau, ‘‘Table 4: Cumulative Estimates of the Components of Population Change for the United Statesand States: April 1, 2000 to July 1, 2005’’ (NST-EST2005-04), published 22 December 2005; Internet site <http://www.census.gov/popest/states/NST-comp-chg.html>.

E–2 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 3: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-2. State Rankings — Population Projections

Geographic area

Number(1,000) Rank Percent change

2005 2010 2015 2020 2025 2030 2005 2010 2015 2020 2025 20302000–2010

2010–2020

2020–2030

Rank

2000–2010

2010–2020

2020–2030

United States . . . 295,507 308,936 322,366 335,805 349,439 363,584 (X) (X) (X) (X) (X) (X) 9.8 8.7 8.3 (X) (X) (X)

Alabama . . . . . . . . . . . 4,527 4,596 4,663 4,729 4,800 4,874 24 24 24 24 24 24 3.4 2.9 3.1 43 36 26Alaska . . . . . . . . . . . . . 661 694 733 774 821 868 47 47 47 47 46 46 10.7 11.6 12.0 18 11 10Arizona . . . . . . . . . . . . 5,868 6,637 7,495 8,456 9,532 10,712 17 14 13 13 12 10 29.4 27.4 26.7 2 2 1Arkansas . . . . . . . . . . . 2,777 2,875 2,969 3,060 3,151 3,240 32 32 33 31 32 32 7.5 6.4 5.9 23 21 20California . . . . . . . . . . . 36,039 38,067 40,123 42,207 44,305 46,445 1 1 1 1 1 1 12.4 10.9 10.0 11 13 13

Colorado . . . . . . . . . . . 4,618 4,832 5,049 5,279 5,523 5,792 22 22 22 22 22 22 12.3 9.3 9.7 12 16 14Connecticut . . . . . . . . . 3,503 3,577 3,635 3,676 3,691 3,689 29 29 29 29 30 30 5.0 2.7 0.4 34 37 39Delaware . . . . . . . . . . . 837 884 927 963 991 1,013 45 45 45 45 45 45 12.9 8.9 5.1 10 17 21District of Columbia . . . . 551 530 506 481 455 433 (X) (X) (X) (X) (X) (X) –7.4 –9.3 –9.8 (X) (X) (X)Florida . . . . . . . . . . . . . 17,510 19,252 21,204 23,407 25,912 28,686 4 4 3 3 3 3 20.5 21.6 22.6 3 3 3

Georgia . . . . . . . . . . . . 8,926 9,589 10,231 10,844 11,439 12,018 9 9 9 8 9 8 17.1 13.1 10.8 6 9 11Hawaii . . . . . . . . . . . . . 1,277 1,341 1,386 1,412 1,439 1,466 42 42 42 41 41 41 10.7 5.3 3.8 19 24 23Idaho. . . . . . . . . . . . . . 1,407 1,517 1,630 1,741 1,853 1,970 39 39 39 39 37 37 17.3 14.8 13.1 5 6 9Illinois . . . . . . . . . . . . . 12,699 12,917 13,097 13,237 13,341 13,433 5 5 5 5 5 5 4.0 2.5 1.5 41 39 36Indiana . . . . . . . . . . . . 6,250 6,392 6,518 6,627 6,721 6,810 14 16 16 17 18 18 5.1 3.7 2.8 33 32 29

Iowa . . . . . . . . . . . . . . 2,974 3,010 3,026 3,020 2,993 2,955 30 30 31 33 34 34 2.9 0.4 –2.2 45 48 48Kansas . . . . . . . . . . . . 2,752 2,805 2,853 2,891 2,919 2,940 33 33 34 35 35 35 4.4 3.0 1.7 38 35 34Kentucky . . . . . . . . . . . 4,163 4,265 4,351 4,424 4,490 4,555 26 26 26 26 27 27 5.5 3.7 3.0 31 31 28Louisiana . . . . . . . . . . . 4,534 4,613 4,674 4,719 4,762 4,803 23 23 23 25 25 26 3.2 2.3 1.8 44 41 33Maine . . . . . . . . . . . . . 1,319 1,357 1,389 1,409 1,414 1,411 40 41 41 42 42 42 6.4 3.8 0.2 29 30 40

Maryland . . . . . . . . . . . 5,601 5,905 6,208 6,498 6,763 7,022 19 19 18 18 17 16 11.5 10.0 8.1 14 15 16Massachusetts . . . . . . . 6,519 6,649 6,759 6,856 6,939 7,012 13 13 15 15 16 17 4.7 3.1 2.3 36 34 31Michigan . . . . . . . . . . . 10,207 10,429 10,599 10,696 10,714 10,694 8 8 8 10 10 11 4.9 2.6 0.0 35 38 41Minnesota . . . . . . . . . . 5,175 5,421 5,668 5,901 6,109 6,306 21 21 21 21 20 20 10.2 8.9 6.9 20 18 18Mississippi . . . . . . . . . . 2,916 2,971 3,014 3,045 3,069 3,092 31 31 32 32 33 33 4.5 2.5 1.6 37 40 35

Missouri . . . . . . . . . . . . 5,765 5,922 6,070 6,200 6,315 6,430 18 18 19 19 19 19 5.8 4.7 3.7 30 28 24Montana . . . . . . . . . . . 933 969 999 1,023 1,037 1,045 44 44 44 44 44 44 7.4 5.6 2.2 24 23 32Nebraska . . . . . . . . . . . 1,744 1,769 1,789 1,803 1,813 1,820 38 38 38 37 38 38 3.4 1.9 1.0 42 44 37Nevada . . . . . . . . . . . . 2,352 2,691 3,058 3,452 3,863 4,282 35 34 30 30 28 28 34.6 28.3 24.0 1 1 2New Hampshire. . . . . . . 1,315 1,386 1,457 1,525 1,586 1,646 41 40 40 40 40 40 12.1 10.0 8.0 13 14 17

New Jersey . . . . . . . . . 8,745 9,018 9,256 9,462 9,637 9,802 10 11 11 11 11 13 7.2 4.9 3.6 25 26 25New Mexico . . . . . . . . . 1,902 1,980 2,042 2,084 2,107 2,100 36 36 36 36 36 36 8.9 5.3 0.7 22 25 38New York . . . . . . . . . . . 19,258 19,444 19,547 19,577 19,540 19,477 3 3 4 4 4 4 2.5 0.7 –0.5 47 46 45North Carolina. . . . . . . . 8,702 9,346 10,011 10,709 11,449 12,228 11 10 10 9 8 7 16.1 14.6 14.2 8 7 7North Dakota . . . . . . . . 635 637 635 630 621 607 48 49 49 49 49 49 –0.9 –1.0 –3.7 50 49 49

Ohio . . . . . . . . . . . . . . 11,478 11,576 11,635 11,644 11,606 11,551 7 7 7 7 7 9 2.0 0.6 –0.8 48 47 46Oklahoma . . . . . . . . . . 3,521 3,592 3,662 3,736 3,821 3,913 28 28 28 28 29 29 4.1 4.0 4.8 40 29 22Oregon . . . . . . . . . . . . 3,596 3,791 4,013 4,260 4,536 4,834 27 27 27 27 26 25 10.8 12.4 13.5 17 10 8Pennsylvania . . . . . . . . 12,427 12,584 12,711 12,787 12,802 12,768 6 6 6 6 6 6 2.5 1.6 –0.1 46 45 43Rhode Island . . . . . . . . 1,087 1,117 1,140 1,154 1,158 1,153 43 43 43 43 43 43 6.5 3.4 –0.1 28 33 42

South Carolina . . . . . . . 4,239 4,447 4,642 4,823 4,990 5,149 25 25 25 23 23 23 10.8 8.5 6.8 16 20 19South Dakota . . . . . . . . 772 786 797 802 802 800 46 46 46 46 47 47 4.2 2.0 –0.2 39 43 44Tennessee . . . . . . . . . . 5,965 6,231 6,502 6,781 7,073 7,381 16 17 17 16 15 15 9.5 8.8 8.8 21 19 15Texas . . . . . . . . . . . . . 22,775 24,649 26,586 28,635 30,865 33,318 2 2 2 2 2 2 18.2 16.2 16.4 4 4 5Utah . . . . . . . . . . . . . . 2,418 2,595 2,783 2,990 3,226 3,485 34 35 35 34 31 31 16.2 15.2 16.6 7 5 4

Vermont . . . . . . . . . . . . 631 653 673 691 703 712 49 48 48 48 48 48 7.2 5.9 3.1 26 22 27Virginia . . . . . . . . . . . . 7,553 8,010 8,467 8,917 9,364 9,825 12 12 12 12 13 12 13.2 11.3 10.2 9 12 12Washington . . . . . . . . . 6,205 6,542 6,951 7,432 7,996 8,625 15 15 14 14 14 14 11.0 13.6 16.0 15 8 6West Virginia . . . . . . . . 1,819 1,829 1,823 1,801 1,766 1,720 37 37 37 38 39 39 1.2 –1.5 –4.5 49 50 50Wisconsin. . . . . . . . . . . 5,554 5,727 5,883 6,005 6,088 6,151 20 20 20 20 21 21 6.8 4.8 2.4 27 27 30Wyoming . . . . . . . . . . . 507 520 528 531 529 523 50 50 50 50 50 50 5.3 2.1 –1.5 32 42 47

X Not applicable.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Based on calculations using National Center for Health Statistics (NCHS) fertility and mortality rates, state migration patterns derived from the InternalRevenue Service (IRS) and Census 2000, and international migration derived from the Population Estimates Program and data on the foreign-born population in Census 2000; for information, seeInternet site <http://www.census.gov/population/www/methodep.html>.

Source: U.S. Census Bureau, ‘‘State Interim Population Projections by Age and Sex: 2004–2030,’’ published 21 April 2005. See Internet site<http://www.census.gov/population/www/projections/projectionsagesex.html>.

E–3State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 4: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-3. State Rankings — Population by Age Group

Geographic area

Population under 18 years Population 65 years and over Percent of population by age, 2004

2004(1,000)

2000(1,000)

19901

(1,000)

Rank

2004(1,000)

2000(1,000)

19901

(1,000)

Rank Under 18 years 65 yearsand over

2004 2000 1990 2004 2000 1990 Percent Rank Percent Rank

United States . . . 73,278 72,295 63,941 (X) (X) (X) 36,294 34,992 31,082 (X) (X) (X) 25.0 (X) 12.4 (X)

Alabama . . . . . . . . . . . 1,095 1,124 1,064 24 23 22 598 580 520 22 22 20 24.2 28 13.2 17Alaska . . . . . . . . . . . . . 188 191 173 47 47 47 42 36 22 50 50 50 28.7 2 6.4 50Arizona . . . . . . . . . . . . 1,547 1,367 986 14 19 23 732 668 476 17 18 22 26.9 4 12.7 26Arkansas . . . . . . . . . . . 677 680 624 34 34 34 381 374 349 31 31 30 24.6 22 13.8 9California . . . . . . . . . . . 9,596 9,250 7,822 1 1 1 3,823 3,596 3,113 1 1 1 26.7 5 10.7 45

Colorado . . . . . . . . . . . 1,179 1,101 864 22 24 26 451 416 328 29 30 32 25.6 13 9.8 47Connecticut . . . . . . . . . 839 842 754 29 29 28 474 470 444 26 26 25 23.9 31 13.5 12Delaware . . . . . . . . . . . 194 195 164 45 46 48 109 102 80 46 46 47 23.3 39 13.1 19District of Columbia . . . . 110 115 119 (X) (X) (X) 67 70 77 (X) (X) (X) 19.8 (X) 12.1 (X)Florida . . . . . . . . . . . . . 4,003 3,646 2,884 4 4 5 2,928 2,808 2,356 2 2 2 23.0 42 16.8 1

Georgia . . . . . . . . . . . . 2,333 2,169 1,736 9 9 10 847 785 651 12 13 15 26.4 7 9.6 48Hawaii . . . . . . . . . . . . . 299 296 282 41 42 41 172 161 124 40 40 42 23.7 35 13.6 11Idaho. . . . . . . . . . . . . . 372 369 309 39 39 39 159 146 121 41 43 43 26.7 6 11.4 41Illinois . . . . . . . . . . . . . 3,238 3,246 2,961 5 5 4 1,521 1,500 1,429 7 7 6 25.5 14 12.0 38Indiana . . . . . . . . . . . . 1,600 1,574 1,461 13 13 13 772 753 694 14 15 13 25.7 12 12.4 30

Iowa . . . . . . . . . . . . . . 680 734 721 33 31 31 433 436 426 30 29 26 23.0 41 14.7 5Kansas . . . . . . . . . . . . 683 713 663 32 33 32 355 356 342 32 32 31 25.0 17 13.0 23Kentucky . . . . . . . . . . . 980 995 957 26 26 24 519 505 465 25 24 24 23.6 36 12.5 27Louisiana . . . . . . . . . . . 1,165 1,220 1,233 23 22 18 528 517 467 23 23 23 25.8 11 11.7 39Maine . . . . . . . . . . . . . 282 301 310 42 41 38 190 183 163 39 39 36 21.4 49 14.4 6

Maryland . . . . . . . . . . . 1,395 1,356 1,168 17 20 21 635 599 514 20 20 21 25.1 15 11.4 40Massachusetts . . . . . . . 1,464 1,500 1,361 16 15 14 854 860 815 11 11 10 22.8 44 13.3 13Michigan . . . . . . . . . . . 2,533 2,596 2,468 8 8 8 1,247 1,219 1,104 8 8 8 25.1 16 12.3 31Minnesota . . . . . . . . . . 1,240 1,287 1,170 21 21 20 615 594 546 21 21 19 24.3 25 12.1 35Mississippi . . . . . . . . . . 750 775 750 30 30 29 353 344 319 33 33 33 25.8 10 12.2 32

Missouri . . . . . . . . . . . . 1,385 1,428 1,319 19 16 15 766 755 715 15 14 12 24.1 29 13.3 15Montana . . . . . . . . . . . 208 230 223 44 44 44 127 121 106 44 44 44 22.5 46 13.7 10Nebraska . . . . . . . . . . . 435 450 430 37 37 37 232 232 223 36 35 35 24.9 18 13.3 16Nevada . . . . . . . . . . . . 604 512 299 35 35 40 262 219 127 35 36 40 25.9 9 11.2 44New Hampshire. . . . . . . 305 310 280 40 40 42 157 148 125 42 42 41 23.5 38 12.1 37

New Jersey . . . . . . . . . 2,156 2,088 1,817 10 10 9 1,126 1,113 1,026 9 9 9 24.8 20 12.9 24New Mexico . . . . . . . . . 492 509 449 36 36 35 229 212 162 37 37 37 25.9 8 12.1 36New York . . . . . . . . . . . 4,572 4,690 4,292 3 3 3 2,493 2,449 2,340 3 3 3 23.8 32 13.0 22North Carolina. . . . . . . . 2,118 1,964 1,616 11 11 11 1,032 969 800 10 10 11 24.8 19 12.1 33North Dakota . . . . . . . . 139 161 176 48 48 46 93 94 91 47 47 46 21.9 47 14.7 4

Ohio . . . . . . . . . . . . . . 2,779 2,888 2,808 7 7 6 1,525 1,508 1,403 6 6 7 24.3 26 13.3 14Oklahoma . . . . . . . . . . 860 892 840 27 27 27 464 456 423 27 27 27 24.4 24 13.2 18Oregon . . . . . . . . . . . . 852 847 727 28 28 30 460 438 390 28 28 29 23.7 34 12.8 25Pennsylvania . . . . . . . . 2,837 2,922 2,807 6 6 7 1,897 1,919 1,821 5 5 4 22.9 43 15.3 3Rhode Island . . . . . . . . 244 248 227 43 43 43 151 152 150 43 41 38 22.6 45 13.9 8

South Carolina . . . . . . . 1,025 1,010 925 25 25 25 520 485 394 24 25 28 24.4 23 12.4 29South Dakota . . . . . . . . 191 203 199 46 45 45 109 108 102 45 45 45 24.8 21 14.2 7Tennessee . . . . . . . . . . 1,391 1,399 1,222 18 17 19 738 703 616 16 16 17 23.6 37 12.5 28Texas . . . . . . . . . . . . . 6,267 5,887 4,858 2 2 2 2,217 2,073 1,708 4 4 5 27.9 3 9.9 46Utah . . . . . . . . . . . . . . 740 719 629 31 32 33 208 190 149 38 38 39 31.0 1 8.7 49

Vermont . . . . . . . . . . . . 135 148 144 49 49 49 81 78 66 48 48 48 21.7 48 13.0 20Virginia . . . . . . . . . . . . 1,805 1,738 1,511 12 12 12 847 792 661 13 12 14 24.2 27 11.4 42Washington . . . . . . . . . 1,486 1,514 1,267 15 14 17 703 662 573 19 19 18 24.0 30 11.3 43West Virginia . . . . . . . . 385 402 445 38 38 36 278 277 268 34 34 34 21.2 50 15.3 2Wisconsin. . . . . . . . . . . 1,308 1,369 1,292 20 18 16 716 703 650 18 17 16 23.7 33 13.0 21Wyoming . . . . . . . . . . . 117 129 136 50 50 50 61 58 47 49 49 49 23.1 40 12.1 34

X Not applicable.

1The April 1, 1990, data shown here do not reflect the corrections referred to in footnote 2 of Table A-1.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and sites<http://www.census.gov/main/www/cen2000.html> and <http://www.census.gov/popest/topics/methodology/>.

Source: U.S. Census Bureau, ‘‘State Single Year of Age and Sex Population Estimates: April 1, 2000 to July 1, 2004—RESIDENT’’; see Internet site<http://www.census.gov/popest/states/files/SC-EST2004-AGESEXRES.csv>; and ‘‘Age and Sex for States and for Puerto Rico: April 1, 2000 to July 1, 2004’’; see Internet site<http://www.census.gov/popest/states/asrh/SC-est2004-02.html>; and ‘‘Table ST-99-9 Population Estimates for the U.S., Regions, and States by Selected Age Groups and Sex: Annual Time Series,July 1, 1990 to July 1, 1999,’’ published 9 March 2000; see Internet site <http://www.census.gov/popest/archives/1990s/ST-99-09.txt>.

E–4 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-4. State Rankings — Median Income of Households and Families in Constant(2003) Dollars

Geographic area

Median household income in (2003) dollars Median family income in (2003) dollars

2003 2002 2001 2000

Rank

2003 2002 2001 2000

Rank

2003 2002 2001 2000 2003 2002 2001 2000

United States . . . 43,564 44,049 43,937 44,270 (X) (X) (X) (X) 52,273 52,764 52,754 52,904 (X) (X) (X) (X)

Alabama . . . . . . . . . . . 35,158 35,937 34,919 35,576 43 45 44 44 43,307 43,249 43,075 43,507 43 46 43 44Alaska . . . . . . . . . . . . . 52,499 57,567 58,292 56,586 6 2 3 3 61,117 67,256 64,509 63,190 8 4 6 6Arizona . . . . . . . . . . . . 40,762 41,907 42,190 41,171 29 26 26 30 47,219 48,524 48,792 48,876 36 33 33 32Arkansas . . . . . . . . . . . 34,246 35,218 34,094 35,312 47 47 47 46 41,072 42,843 41,534 42,168 48 47 48 48California . . . . . . . . . . . 50,220 50,574 50,009 49,699 11 9 11 11 56,530 57,486 56,350 56,681 14 14 15 15

Colorado . . . . . . . . . . . 50,538 49,017 49,237 49,445 10 12 12 12 59,252 58,481 58,263 59,373 12 11 12 9Connecticut . . . . . . . . . 56,803 57,539 58,427 57,693 3 3 2 2 69,917 70,421 70,807 69,729 2 2 1 2Delaware . . . . . . . . . . . 50,583 50,883 50,979 50,983 9 8 9 9 61,270 58,936 59,278 58,919 7 10 10 11District of Columbia . . . . 42,118 44,668 42,264 43,534 (X) (X) (X) (X) 50,243 50,073 49,030 48,890 (X) (X) (X) (X)Florida . . . . . . . . . . . . . 39,871 40,050 39,561 40,626 34 34 36 32 47,442 47,617 46,899 48,340 35 36 38 34

Georgia . . . . . . . . . . . . 42,742 42,725 43,932 44,048 23 22 21 21 50,647 50,503 50,983 49,968 29 30 25 28Hawaii . . . . . . . . . . . . . 50,787 51,400 51,897 54,904 8 7 7 5 60,647 59,977 60,691 63,139 9 8 8 7Idaho. . . . . . . . . . . . . . 39,492 38,034 38,462 40,093 36 39 38 34 46,783 45,683 44,029 46,983 39 41 41 39Illinois . . . . . . . . . . . . . 47,977 47,458 47,853 48,737 14 14 14 13 57,385 57,916 58,326 58,993 13 12 11 10Indiana . . . . . . . . . . . . 42,067 42,573 43,349 43,496 24 23 23 22 51,338 51,872 52,547 52,411 25 22 20 22

Iowa . . . . . . . . . . . . . . 40,526 40,020 40,989 40,767 32 35 30 31 51,336 50,634 50,662 50,463 26 28 27 26Kansas . . . . . . . . . . . . 41,075 40,789 40,333 42,970 28 31 33 24 51,157 51,353 49,588 52,737 27 25 31 20Kentucky . . . . . . . . . . . 34,368 35,650 34,831 35,029 46 46 45 47 41,898 43,838 42,556 43,018 45 44 44 45Louisiana . . . . . . . . . . . 34,141 34,092 34,763 32,981 48 48 46 49 41,831 41,696 42,296 41,095 46 48 45 49Maine . . . . . . . . . . . . . 39,838 40,676 39,011 38,980 35 33 37 38 48,541 48,086 45,610 48,911 32 34 39 31

Maryland . . . . . . . . . . . 57,218 56,858 55,761 55,796 2 4 4 4 69,087 66,985 67,027 66,966 3 5 4 3Massachusetts . . . . . . . 53,610 56,367 54,718 53,204 5 5 5 7 67,527 68,411 67,933 65,908 4 3 3 4Michigan . . . . . . . . . . . 44,407 44,723 46,036 46,305 19 20 16 18 55,018 55,118 55,977 56,264 17 17 16 16Minnesota . . . . . . . . . . 50,100 50,320 51,560 50,986 12 10 8 8 61,417 61,534 61,679 61,308 6 7 7 8Mississippi . . . . . . . . . . 32,466 32,566 33,456 34,947 49 49 49 48 39,182 39,372 40,983 42,857 49 50 49 46

Missouri . . . . . . . . . . . . 40,725 40,967 40,593 39,661 30 30 31 36 49,441 50,779 50,059 47,951 31 27 30 35Montana . . . . . . . . . . . 35,399 35,980 34,052 35,438 42 44 48 45 44,503 44,939 41,898 43,997 42 42 46 42Nebraska . . . . . . . . . . . 41,406 40,725 41,178 39,899 26 32 29 35 50,756 50,606 50,866 49,791 28 29 26 29Nevada . . . . . . . . . . . . 45,395 44,846 45,418 45,481 18 18 18 19 52,502 51,183 52,407 52,454 20 26 23 21New Hampshire. . . . . . . 53,910 55,456 54,693 54,199 4 6 6 6 63,439 65,816 64,767 64,493 5 6 5 5

New Jersey . . . . . . . . . 58,588 60,031 58,429 57,727 1 1 1 1 70,263 72,082 69,856 69,904 1 1 2 1New Mexico . . . . . . . . . 34,805 36,721 35,561 35,602 45 42 42 43 41,661 43,586 41,645 42,816 47 45 47 47New York . . . . . . . . . . . 46,195 45,703 45,567 46,691 17 17 17 17 55,309 55,615 54,650 55,887 16 16 17 18North Carolina. . . . . . . . 38,234 38,972 40,296 40,302 40 36 34 33 45,540 46,926 48,003 47,555 41 39 35 37North Dakota . . . . . . . . 37,554 36,895 36,483 36,768 41 41 41 41 48,386 48,072 47,976 45,833 33 35 36 41

Ohio . . . . . . . . . . . . . . 41,350 41,353 42,212 42,453 27 28 25 25 51,522 50,356 52,507 52,297 23 31 21 23Oklahoma . . . . . . . . . . 35,129 36,228 35,154 36,309 44 43 43 42 43,259 44,234 43,266 43,523 44 43 42 43Oregon . . . . . . . . . . . . 40,319 41,207 42,012 41,769 33 29 27 28 49,800 51,534 50,345 49,324 30 24 28 30Pennsylvania . . . . . . . . 41,478 41,899 42,333 42,319 25 27 24 26 51,339 52,152 52,461 51,689 24 21 22 24Rhode Island . . . . . . . . 48,854 46,653 44,373 46,750 13 16 20 16 60,165 56,977 56,598 57,732 11 15 14 14

South Carolina . . . . . . . 38,467 38,739 40,143 38,894 37 37 35 39 47,081 47,411 48,935 46,857 37 37 32 40South Dakota . . . . . . . . 38,415 38,068 38,140 37,174 38 38 39 40 46,824 47,245 47,529 47,582 38 38 37 36Tennessee . . . . . . . . . . 38,247 37,913 37,541 39,035 39 40 40 37 46,654 46,735 45,155 47,448 40 40 40 38Texas . . . . . . . . . . . . . 40,674 42,184 41,915 42,069 31 24 28 27 47,479 48,967 48,772 48,595 34 32 34 33Utah . . . . . . . . . . . . . . 46,873 47,505 47,873 48,461 15 13 13 14 52,481 52,405 54,017 54,916 21 20 19 19

Vermont . . . . . . . . . . . . 43,697 44,745 43,636 43,207 21 19 22 23 52,895 54,203 51,771 51,328 19 18 24 25Virginia . . . . . . . . . . . . 50,805 49,879 50,396 50,276 7 11 10 10 60,174 58,980 59,585 58,824 10 9 9 12Washington . . . . . . . . . 46,868 46,983 47,579 48,120 16 15 15 15 56,461 57,508 58,218 58,146 15 13 13 13West Virginia . . . . . . . . 31,008 31,626 30,548 31,102 50 50 50 50 38,568 39,545 38,876 37,375 50 49 50 50Wisconsin. . . . . . . . . . . 44,084 44,667 44,649 45,140 20 21 19 20 54,500 54,140 54,044 55,892 18 19 18 17Wyoming . . . . . . . . . . . 43,332 41,925 40,479 41,191 22 25 32 29 51,627 51,716 50,105 49,977 22 23 29 27

X Not applicable.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site<http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site<http://www.census.gov/acs/www/Products/Profiles/Chg/2003/ACS/index.htm>.

E–5State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 6: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-5. State Rankings — Poverty Status of Families and Individuals in the Past 12Months

Geographic area

Number below poverty in past 12 months Percent below poverty in the past 12 months

Families Individuals Families Individuals

2003(1,000)

2000(1,000)

Rank

2003(1,000)

2000(1,000)

Rank

2003 2000

Rank

2003 2000

Rank

2003 2000 2003 2000 2003 2000 2003 2000

United States . . . 7,143 6,615 (X) (X) 35,846 33,311 (X) (X) 9.8 9.3 (X) (X) 12.7 12.2 (X) (X)

Alabama . . . . . . . . . . . 164 146 14 15 748 672 14 14 13.7 12.4 6 7 17.1 15.6 6 7Alaska . . . . . . . . . . . . . 13 11 47 49 61 55 48 49 8.0 6.8 30 38 9.7 9.1 40 42Arizona . . . . . . . . . . . . 166 150 12 13 839 780 12 12 11.9 11.6 10 10 15.4 15.6 10 7Arkansas . . . . . . . . . . . 89 96 26 25 421 439 29 27 12.1 13.0 9 6 16.0 17.0 9 5California . . . . . . . . . . . 849 832 1 1 4,610 4,520 1 1 10.5 10.7 16 12 13.4 13.7 18 12

Colorado . . . . . . . . . . . 88 64 27 32 433 363 28 29 7.3 5.7 37 47 9.8 8.7 39 46Connecticut . . . . . . . . . 58 51 33 34 273 254 35 34 6.4 5.8 45 46 8.1 7.7 48 48Delaware . . . . . . . . . . . 12 14 48 46 69 70 47 46 5.8 6.7 48 40 8.7 9.3 45 39District of Columbia . . . . 21 17 (X) (X) 105 94 (X) (X) 18.5 15.4 (X) (X) 19.9 17.5 (X) (X)Florida . . . . . . . . . . . . . 422 387 4 4 2,174 1,987 4 4 9.7 9.3 19 19 13.1 12.8 20 18

Georgia . . . . . . . . . . . . 234 206 9 8 1,125 999 9 9 10.8 10.0 12 15 13.4 12.6 18 19Hawaii . . . . . . . . . . . . . 21 19 43 43 132 103 41 43 7.4 6.8 36 37 10.9 8.8 30 44Idaho. . . . . . . . . . . . . . 35 26 39 39 183 144 38 39 9.8 7.7 18 29 13.8 11.4 15 23Illinois . . . . . . . . . . . . . 265 262 6 5 1,389 1,335 5 5 8.5 8.6 25 20 11.3 11.1 26 26Indiana . . . . . . . . . . . . 119 113 22 21 633 592 20 20 7.5 7.1 34 34 10.6 10.1 34 31

Iowa . . . . . . . . . . . . . . 53 53 34 33 286 281 33 33 6.9 7.0 42 35 10.1 10.0 38 34Kansas . . . . . . . . . . . . 51 43 35 35 284 247 34 35 7.1 6.2 41 44 10.8 9.5 32 38Kentucky . . . . . . . . . . . 159 148 15 14 696 640 16 17 14.2 13.5 5 5 17.4 16.4 5 6Louisiana . . . . . . . . . . . 191 182 11 11 882 862 11 11 16.6 16.0 1 1 20.3 20.0 1 1Maine . . . . . . . . . . . . . 26 22 40 42 133 124 40 40 7.6 6.6 33 42 10.5 10.1 36 31

Maryland . . . . . . . . . . . 86 89 29 26 439 477 27 24 6.1 6.6 47 41 8.2 9.3 47 39Massachusetts . . . . . . . 118 110 23 22 582 586 21 21 7.5 7.1 35 33 9.4 9.6 43 36Michigan . . . . . . . . . . . 224 196 10 10 1,118 975 10 10 8.6 7.7 24 30 11.4 10.1 25 31Minnesota . . . . . . . . . . 75 66 31 30 383 328 30 30 5.6 5.1 49 49 7.8 6.9 49 49Mississippi . . . . . . . . . . 121 104 20 23 553 498 24 23 16.4 14.2 2 4 19.9 18.2 2 3

Missouri . . . . . . . . . . . . 133 118 17 20 646 606 18 19 8.6 7.7 23 28 11.7 11.2 22 25Montana . . . . . . . . . . . 24 23 41 40 126 117 42 41 9.9 9.5 17 17 14.2 13.4 11 14Nebraska . . . . . . . . . . . 36 28 38 38 182 158 39 38 8.2 6.5 28 43 10.8 9.6 32 36Nevada . . . . . . . . . . . . 47 34 36 37 252 194 36 36 8.7 6.9 22 36 11.5 9.9 24 35New Hampshire. . . . . . . 17 11 44 48 96 63 44 47 5.1 3.5 50 50 7.7 5.3 50 50

New Jersey . . . . . . . . . 145 126 16 17 704 651 15 16 6.6 6.0 44 45 8.4 7.9 46 47New Mexico . . . . . . . . . 70 64 32 31 340 320 31 32 14.8 14.2 4 3 18.6 18.0 3 4New York . . . . . . . . . . . 499 491 3 3 2,501 2,391 3 3 10.7 10.7 13 13 13.5 13.1 17 16North Carolina. . . . . . . . 239 203 8 9 1,136 1,018 8 8 10.7 9.6 14 16 14.0 13.1 13 16North Dakota . . . . . . . . 13 14 46 45 71 71 46 45 8.4 8.1 26 25 11.7 11.6 22 20

Ohio . . . . . . . . . . . . . . 280 246 5 7 1,343 1,216 6 7 9.4 8.4 21 24 12.1 11.1 21 26Oklahoma . . . . . . . . . . 112 100 24 24 546 459 25 26 12.4 11.0 8 11 16.1 13.8 8 11Oregon . . . . . . . . . . . . 88 84 28 27 481 439 26 28 9.7 9.5 20 18 13.9 13.2 14 15Pennsylvania . . . . . . . . 260 247 7 6 1,296 1,240 7 6 8.2 7.8 27 27 10.9 10.5 30 30Rhode Island . . . . . . . . 22 23 42 41 117 108 43 42 8.2 8.5 29 22 11.3 10.7 26 28

South Carolina . . . . . . . 121 123 19 19 563 557 22 22 11.3 11.7 11 9 14.1 14.4 12 10South Dakota . . . . . . . . 14 16 45 44 81 83 45 44 7.2 8.4 40 23 11.1 11.5 28 22Tennessee . . . . . . . . . . 164 158 13 12 780 745 13 13 10.6 10.5 15 14 13.8 13.5 15 13Texas . . . . . . . . . . . . . 712 639 2 2 3,508 3,056 2 2 13.1 12.3 7 8 16.3 15.1 7 9Utah . . . . . . . . . . . . . . 43 40 37 36 244 192 37 37 7.6 7.2 32 32 10.6 8.8 34 44

Vermont . . . . . . . . . . . . 10 12 49 47 57 63 49 48 6.4 7.5 46 31 9.7 10.7 40 28Virginia . . . . . . . . . . . . 126 124 18 18 642 630 19 18 6.6 6.8 43 39 9.0 9.2 44 41Washington . . . . . . . . . 121 127 21 16 654 667 17 15 7.9 8.6 31 21 11.0 11.6 29 20West Virginia . . . . . . . . 76 72 30 29 326 327 32 31 15.5 14.7 3 2 18.5 18.6 4 2Wisconsin. . . . . . . . . . . 101 75 25 28 554 461 23 25 7.2 5.6 39 48 10.5 8.9 36 43Wyoming . . . . . . . . . . . 10 10 50 50 47 55 50 50 7.3 7.9 38 26 9.7 11.4 40 23

X Not applicable.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Based on the American Community Survey; for information, see Appendix B, Limitations of the Data and Methodology, and Internet site<http://www.census.gov/acs/www/AdvMeth/index.htm>.

Source: U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Economic Characteristics, accessed 24 June 2005. See Internet site<http://www.census.gov/acs/www/Products/Profiles/Chg/2003/ACS/index.htm>.

E–6 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 7: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-6. State Rankings — Value and Gross Rent of Specified Owner- and Renter-Occupied Units, Homeownership Rates, Vacancy Rates, andHousing Prices

Geographic area

Median value of specified owner-occupied units in constant (2003)

dollars1

Median gross rent of specified renter-occupied units in constant (2003)

dollars2Homeownership

rate, 20043 Vacancy rates, 2004Housing pricesof single-familyhomes, 20044

2003($1,000)

2000($1,000)

Rank

2003 2000

Rank

Rate(per-cent) Rank

Rental5 Homeowner6

Number($1,000) Rank2003 2000 2003 2000

Rate(per-cent) Rank

Rate(per-cent) Rank

United States . . . 147 129 (X) (X) 679 649 (X) (X) 69.0 (X) 10.2 (X) 1.7 (X) 211.7 (X)

Alabama . . . . . . . . . . . 96 92 44 40 498 472 45 47 78.0 2 14.8 2 2.5 6 139.9 40Alaska . . . . . . . . . . . . . 174 155 12 11 780 734 6 6 67.2 42 7.0 41 1.8 19 179.5 23Arizona . . . . . . . . . . . . 146 130 20 20 662 675 19 17 68.7 40 11.3 19 1.6 25 169.0 27Arkansas . . . . . . . . . . . 84 78 49 49 513 500 43 41 69.1 37 13.5 8 2.3 11 125.0 47California . . . . . . . . . . . 334 230 1 2 890 815 1 2 59.7 49 5.4 48 0.9 43 399.9 1

Colorado . . . . . . . . . . . 210 180 6 6 754 727 11 10 71.1 30 12.7 13 2.8 3 234.0 13Connecticut . . . . . . . . . 226 179 5 7 766 734 10 6 71.7 26 8.4 36 0.9 43 289.0 6Delaware . . . . . . . . . . . 166 143 16 16 718 694 15 14 77.3 3 11.0 22 1.4 32 270.0 8District of Columbia . . . . 248 178 (X) (X) 721 677 (X) (X) 45.6 (X) 11.3 (X) 2.4 (X) 370.0 (X)Florida . . . . . . . . . . . . . 145 115 21 26 724 699 14 12 72.2 23 11.7 16 1.7 21 185.0 19

Georgia . . . . . . . . . . . . 141 121 23 23 687 676 17 16 70.9 32 16.3 1 2.2 12 177.5 24Hawaii . . . . . . . . . . . . . 325 307 2 1 863 876 2 1 60.6 48 7.7 39 1.3 36 344.0 2Idaho. . . . . . . . . . . . . . 118 112 32 28 565 510 32 39 73.7 12 9.8 28 1.4 32 150.0 33Illinois . . . . . . . . . . . . . 161 139 18 17 699 660 16 18 72.7 20 14.8 2 1.7 21 227.0 15Indiana . . . . . . . . . . . . 107 101 37 35 581 556 30 29 75.8 7 12.9 12 2.5 6 120.0 49

Iowa . . . . . . . . . . . . . . 91 85 45 45 531 507 38 40 73.2 17 9.4 32 2.4 9 108.0 50Kansas . . . . . . . . . . . . 100 90 40 42 535 534 37 33 69.9 35 13.6 7 2.8 3 147.0 36Kentucky . . . . . . . . . . . 104 94 38 38 491 478 47 44 73.3 14 11.3 19 2.1 15 144.6 38Louisiana . . . . . . . . . . . 99 90 41 41 525 516 39 37 70.6 33 7.3 40 1.3 36 145.4 37Maine . . . . . . . . . . . . . 135 110 25 31 562 523 33 35 74.7 10 6.8 42 0.8 46 185.0 19

Maryland . . . . . . . . . . . 186 157 11 10 817 734 5 6 72.1 24 8.2 37 1.8 19 290.0 5Massachusetts . . . . . . . 310 206 3 3 820 763 4 4 63.8 46 6.5 43 0.7 48 340.0 3Michigan . . . . . . . . . . . 141 125 22 21 608 584 25 25 77.1 4 13.0 10 2.2 12 156.0 31Minnesota . . . . . . . . . . 170 132 15 19 657 612 20 22 76.4 5 9.1 33 1.1 41 218.0 16Mississippi . . . . . . . . . . 85 81 48 46 525 486 39 43 74.0 11 12.5 14 1.4 32 131.9 44

Missouri . . . . . . . . . . . . 109 97 36 37 556 523 34 35 72.4 21 10.3 25 3.1 2 139.9 40Montana . . . . . . . . . . . 119 106 30 32 506 478 44 44 72.4 21 9.7 29 1.7 21 164.0 29Nebraska . . . . . . . . . . . 101 92 39 39 540 525 36 34 71.2 29 9.5 31 1.5 28 141.9 39Nevada . . . . . . . . . . . . 170 150 14 13 771 744 8 5 65.7 44 10.6 23 3.2 1 252.0 11New Hampshire. . . . . . . 208 148 7 14 780 703 6 11 73.3 14 4.8 49 0.9 43 255.0 10

New Jersey . . . . . . . . . 246 185 4 4 856 813 3 3 68.8 39 6.2 44 0.7 48 310.0 4New Mexico . . . . . . . . . 119 113 31 27 523 511 41 38 71.5 28 8.1 38 1.6 25 126.2 46New York . . . . . . . . . . . 199 161 10 8 770 728 9 9 54.8 50 6.1 45 1.3 36 243.0 12North Carolina. . . . . . . . 125 115 27 25 601 592 27 24 69.8 36 13.3 9 2.5 6 173.5 25North Dakota . . . . . . . . 82 79 50 47 456 463 49 48 70.0 34 10.4 24 1.5 28 139.9 40

Ohio . . . . . . . . . . . . . . 119 110 29 30 575 543 31 32 73.1 18 13.0 10 2.1 15 180.0 22Oklahoma . . . . . . . . . . 86 79 47 48 519 493 42 42 71.1 30 13.9 5 2.7 5 122.5 48Oregon . . . . . . . . . . . . 171 160 13 9 657 659 20 19 69.0 38 11.8 15 1.7 21 205.0 17Pennsylvania . . . . . . . . 110 101 34 36 602 551 26 30 74.9 8 11.7 16 1.4 32 190.0 18Rhode Island . . . . . . . . 205 147 8 15 686 594 18 23 61.5 47 6.1 45 0.6 50 265.0 9

South Carolina . . . . . . . 121 111 28 29 586 576 29 27 76.2 6 14.7 4 1.9 17 159.2 30South Dakota . . . . . . . . 97 88 43 44 490 456 48 49 68.5 41 11.2 21 1.6 25 147.0 35Tennessee . . . . . . . . . . 110 103 35 34 548 551 35 30 71.6 27 10.0 26 2.4 9 151.2 32Texas . . . . . . . . . . . . . 99 89 42 43 639 616 22 21 65.5 45 13.9 5 2.2 12 138.5 43Utah . . . . . . . . . . . . . . 157 154 19 12 632 639 23 20 74.9 8 8.9 35 1.9 17 183.4 21

Vermont . . . . . . . . . . . . 138 123 24 22 624 578 24 26 72.0 25 4.7 50 0.8 46 130.0 45Virginia . . . . . . . . . . . . 162 135 17 18 751 692 12 15 73.4 13 11.4 18 1.0 42 289.0 6Washington . . . . . . . . . 200 181 9 5 734 697 13 13 66.0 43 9.6 30 1.3 36 232.5 14West Virginia . . . . . . . . 86 78 46 50 432 431 50 50 80.3 1 10.0 26 1.5 28 164.9 28Wisconsin. . . . . . . . . . . 132 117 26 24 595 574 28 28 73.3 14 9.1 33 1.5 28 169.9 26Wyoming . . . . . . . . . . . 116 105 33 33 494 476 46 46 72.8 19 5.6 47 1.2 40 149.0 34

X Not applicable.

1Specified owner-occupied units are owner-occupied, one-family, attached and detached houses on less than 10 acres without a business or medical office on the property.2Specified renter-occupied units include all renter-occupied units except 1-unit attached or detached houses on 10 acres or more.3Proportion of owner households to occupied households.4Median price of single-family nonfarm homes.5Proportion of the rental inventory that is vacant for rent.6Proportion of the homeowner inventory that is vacant for sale.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Specified owner- and renter-occupied units—Based on the American Community Survey; for information, see Appendix B, Limitations of the Data andMethodology, and Internet site <http://www.census.gov/acs/www/AdvMeth/index.htm>; Homeownership and vacancy rates—Based on the Current Population Survey/Housing Vacancy Survey(CPS/HVS); for information, see Appendix B, Limitations of the Data and Methodology, and Internet site <http://www.census.gov/hhes/www/housing/hvs/annual04/ann04src.html>; Housingprices—Based on the Finance Board Monthly Interest Rate Survey (MIRS); for information, see Internet site <http://www.fhfb.gov/>.

Source: Specified owner- and renter-occupied units—U.S. Census Bureau, American Community Survey, Multi-Year Profiles 2003—Housing Characteristics, accessed 24 June 2005. See Internetsite <http://www.census.gov/acs/www/Products/Profiles/Chg/2003/ACS/index.htm>; Homeownership and vacancy rates—U.S. Census Bureau, ‘‘Housing Vacancies and Home Ownership Annual Sta-tistics: 2004,’’ Internet site <http://www.census.gov/hhes/www/housing/hvs/annual04/ann04ind.html> (accessed 31 Mar 2005); Housing prices—Federal Housing Finance Board, ‘‘Monthly Interest RateSurvey’’; see Internet site <http://www.fhfb.gov/>.

E–7State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-7. State Rankings — Cost of Living Indicators—Utilities, Gasoline, and Tax Rates

Geographic area

Regulargasolineprices1

Residential utility prices State individualincome taxcollectionsper capita2

State tax rates3

No. 2 heating oil1 Natural gas Electric energy General sales tax Gasoline

2004(dollars

pergallon) Rank

2004(dollars

pergallon) Rank

2004(dollars

per 1,000cubicfeet) Rank

2004(dollars

per 1,000kilowatt-

hours) Rank2004

(dollars) Rank

2005(cents

perdollar) Rank

2005(cents

pergallon) Rank

United States . . . 1.40 (X) 1.55 (X) 10.74 (X) 89.4 (X) 674 (X) (X) (X) (X) (X)

Alabama . . . . . . . . . . . 1.36 40 (NA) (X) 13.41 6 75.5 37 495 37 4.000 39 418.00 36Alaska . . . . . . . . . . . . . 1.69 2 1.52 10 4.88 45 123.9 6 (X) (X) (X) (X) 8.00 49Arizona . . . . . . . . . . . . 1.55 5 (NA) (X) 12.11 16 84.7 22 403 39 5.600 22 518.00 36Arkansas . . . . . . . . . . . 1.34 47 (NA) (X) 11.71 17 74.4 38 612 31 6.000 10 21.50 22California . . . . . . . . . . . 1.62 3 (NA) (X) 9.93 32 117.8 9 1,014 6 6, 77.250 1 18.00 36

Colorado . . . . . . . . . . . 1.41 24 (NA) (X) 8.40 43 83.2 25 742 18 2.900 45 22.00 20Connecticut . . . . . . . . . 1.45 11 1.52 11 14.04 3 116.4 10 1,233 3 6.000 10 25.00 11Delaware . . . . . . . . . . . 1.41 22 1.57 6 12.16 15 88.0 18 941 9 (X) (X) 23.00 18District of Columbia . . . . (D) (X) (NA) (X) 14.31 (X) 81.4 (X) (X) (X) 5.750 (X) 22.50 (X)Florida . . . . . . . . . . . . . 1.37 33 (NA) (X) 18.47 2 89.5 17 (X) (X) 6.000 10 814.50 46

Georgia . . . . . . . . . . . . 1.36 36 (NA) (X) 13.75 5 79.4 32 774 16 4.000 39 7.50 50Hawaii . . . . . . . . . . . . . 1.75 1 (NA) (X) 27.15 1 180.6 1 926 10 4.000 39 416.00 44Idaho. . . . . . . . . . . . . . 1.45 12 1.50 16 9.06 38 60.8 49 652 27 6.000 10 25.00 11Illinois . . . . . . . . . . . . . 1.41 23 1.41 23 9.43 36 85.1 21 640 30 66.250 8 4, 520.10 27Indiana . . . . . . . . . . . . 1.37 35 1.54 9 10.02 31 73.2 39 610 32 6.000 10 518.00 36

Iowa . . . . . . . . . . . . . . 1.34 47 (NA) (X) (NA) (X) 90.6 16 663 24 5.000 25 20.50 26Kansas . . . . . . . . . . . . 1.35 43 (NA) (X) 10.76 25 78.2 34 700 21 5.300 24 24.00 14Kentucky . . . . . . . . . . . 1.39 31 (NA) (X) 11.02 23 60.8 49 680 23 6.000 10 5, 917.40 41Louisiana . . . . . . . . . . . 1.34 46 (NA) (X) 11.21 19 80.9 27 484 38 4.000 39 20.00 28Maine . . . . . . . . . . . . . 1.46 9 1.51 12 14.04 3 126.3 4 881 12 5.000 25 1025.20 10

Maryland . . . . . . . . . . . 1.40 28 1.63 3 12.40 13 80.0 30 950 8 5.000 25 23.50 16Massachusetts . . . . . . . 1.44 15 1.56 7 (NA) (X) 118.5 8 1,376 1 5.000 25 21.00 24Michigan . . . . . . . . . . . 1.40 27 1.54 8 8.47 42 85.5 20 650 28 6.000 10 19.00 33Minnesota . . . . . . . . . . 1.42 19 1.43 22 9.56 33 80.6 28 1,119 5 6.500 5 20.00 28Mississippi . . . . . . . . . . 1.37 32 (NA) (X) (NA) (X) 81.7 26 366 40 7.000 2 18.40 35

Missouri . . . . . . . . . . . . 1.35 42 (NA) (X) 11.04 21 70.6 43 647 29 4.225 38 17.03 42Montana . . . . . . . . . . . 1.40 28 (NA) (X) 9.27 37 78.4 33 653 26 (X) (X) 27.00 5Nebraska . . . . . . . . . . . 1.35 41 (NA) (X) 9.02 40 69.1 44 711 19 5.500 23 1026.30 8Nevada . . . . . . . . . . . . 1.61 4 (NA) (X) 10.05 30 97.0 12 (X) (X) 6.500 5 423.00 18New Hampshire. . . . . . . 1.45 14 1.50 15 13.20 9 125.1 5 42 42 (X) (X) 19.50 32

New Jersey . . . . . . . . . 1.45 12 1.66 2 11.59 18 112.4 11 851 13 6.000 10 14.50 46New Mexico . . . . . . . . . 1.43 18 (NA) (X) 9.50 35 87.8 19 529 36 5.000 25 18.90 34New York . . . . . . . . . . . 1.43 16 1.63 4 12.42 12 145.8 2 1,282 2 4.250 37 23.20 17North Carolina. . . . . . . . 1.34 45 (NA) (X) 12.65 10 84.4 24 849 14 114.500 35 926.85 7North Dakota . . . . . . . . 1.45 10 (NA) (X) 9.03 39 67.7 46 338 41 5.000 25 21.00 24

Ohio . . . . . . . . . . . . . . 1.37 34 1.48 19 10.45 26 84.7 22 760 17 6.000 10 26.00 9Oklahoma . . . . . . . . . . 1.32 50 (NA) (X) 10.24 28 76.7 35 658 25 4.500 35 17.00 43Oregon . . . . . . . . . . . . 1.51 6 1.59 5 11.10 20 71.2 41 1,188 4 (X) (X) 424.00 14Pennsylvania . . . . . . . . 1.36 37 1.49 18 12.26 14 96.6 13 590 33 6.000 10 30.00 2Rhode Island . . . . . . . . 1.40 26 1.51 12 13.24 8 121.9 7 833 15 7.000 2 31.00 1

South Carolina . . . . . . . 1.36 39 (NA) (X) 12.46 11 80.5 29 581 35 5.000 25 16.00 44South Dakota . . . . . . . . 1.41 21 (NA) (X) 9.52 34 76.4 36 (X) (X) 4.000 39 422.00 20Tennessee . . . . . . . . . . 1.34 44 (NA) (X) 10.39 27 68.8 45 25 43 7.000 2 421.40 23Texas . . . . . . . . . . . . . 1.33 49 (NA) (X) (NA) (X) 96.0 14 (X) (X) 6.250 8 20.00 28Utah . . . . . . . . . . . . . . 1.40 30 (NA) (X) 8.12 44 72.4 40 708 20 4.750 34 24.50 13

Vermont . . . . . . . . . . . . 1.49 7 1.51 14 11.03 22 130.7 3 692 22 6.000 10 20.00 28Virginia . . . . . . . . . . . . 1.36 38 1.46 21 13.38 7 79.9 31 995 7 75.000 25 4, 1217.50 40Washington . . . . . . . . . 1.47 8 1.75 1 (NA) (X) 63.6 47 (X) (X) 6.500 5 28.00 4West Virginia . . . . . . . . 1.41 24 1.49 17 10.87 24 62.3 48 589 34 6.000 10 27.00 5Wisconsin. . . . . . . . . . . 1.42 20 1.47 20 10.13 29 91.0 15 917 11 5.000 25 1029.10 3Wyoming . . . . . . . . . . . 1.43 16 (NA) (X) 8.56 41 71.0 42 (X) (X) 64.000 39 14.00 48

D Data withheld to avoid disclosure of individual company data. NA Not available. X Not applicable.

1Excludes federal and state taxes. Prices for No. 2 heating oil include sales of No. 2 fuel oil and high- and low-sulfur diesel fuels.2Population estimated as of July 1.3As of January 1 of the year shown.4Does not include local option taxes.5Carriers pay an additional surcharge equal to: Arizona, 8 cents; Illinois, 6.3 cents; Indiana, 11 cents; Kentucky, 2 percent; New York, 22.21 cents.6Tax rate may be adjusted annually according to a formula based on balances in the unappropriated general fund and the school foundation fund.7Includes statewide local tax of 1.25 percent in California and 1.0 percent in Virginia.8Local taxes for gasoline vary from 9.7 cents to 17.7 cents in 2005, plus a 2.07 cents per gallon pollution tax.9Tax rate is based on the average wholesale price and is adjusted quarterly.10A portion of the rate is adjustable based on maintenance costs, sales volume, or cost of fuel to state government.11Tax rate scheduled to decrease to 4.0 after June 30, 2005.12Large trucks pay a higher tax: Vermont, total of 25 cents/gallon; Virginia, additional 3.5 cents.

Note: When states share the same rank, the next lower rank is omitted. States may share the same value but have different ranks due to rounding.

Survey, Census, or Data Collection Method: Gasoline, heating oil, and natural gas prices—Based on the Oil and Gas Information Retrieval System; for information, see Internet site<http://www.eia.doe.gov/>; Electric energy prices—Based on Form EIA-861, ‘‘Annual Electric Power Industry Report’’; for information, see Internet site<http://www.eia.doe.gov/cneaf/electricity/epa/epa_sum.html>; State individual income tax—Based on the Annual Survey of State Government Tax Collection; for information, see Internet site<http://www.census.gov/govs/www/statetaxtechdoc2004.html>; State tax rates—For information, see Internet site <http://www.taxadmin.org/>.

Sources: Gasoline prices—U.S. Energy Information Administration, Petroleum Marketing Annual 2004; see also Internet site <http://www.eia.doe.gov/>; Utility prices—U.S. Energy InformationAdministration, ‘‘Petroleum Product Prices’’ and ‘‘Natural Gas Prices’’; see Internet site <http://www.eia.doe.gov/emeu/states/_states.html> (accessed 12 September 2005); and Electric Power Monthly,March 2005; see also Internet site <http://www.eia.doe.gov/>; State individual income tax—U.S. Census Bureau, ‘‘State Government Tax Collections’’; see Internet site<http://www.census.gov/govs/www/statetax.html>; State tax rates—Federation of Tax Administrators, 2005; see Internet site <http://www.taxadmin.org/fta/rate/tax_stru.html>.

E–8 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-8. State Rankings — Population by Residence

Item Unit UnitedStates State Value State Value State Value State Value State Value

Top 5Total population, 2004 . . . . . . . . . . . . 1,000 . . . 293,655 California 35,894 Texas 22,490 New York 19,227 Florida 17,397 Illinois 12,714

Metropolitan and micropolitan area population,2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000 . . . 274,114 California 35,637 Texas 21,079 New York 18,794 Florida 17,013 Illinois 12,096

Percent of total . . . . . . . . . . . . . . . . . . Percent . . 93.3 Connecticut 100.0 Delaware 100.0 New Jersey 100.0 Rhode Island 100.0 Hawaii 100.0

Nonmetropolitan area population, 20041. . . . . . 1,000 . . . 19,542 Texas 1,411 Kentucky 1,016 Iowa 822 Virginia 821 Georgia 812Percent of total . . . . . . . . . . . . . . . . . . Percent . . 6.7 Montana 35.4 North Dakota 31.2 Maine 29.6 South Dakota 28.9 Wyoming 28.4

Urban population, 2000. . . . . . . . . . . . . . . . . 1,000 . . . 222,361 California 31,990 Texas 17,204 New York 16,603 Florida 14,270 Illinois 10,910

Percent of total . . . . . . . . . . . . . . . . . . Percent . . 79.0 California 94.4 New Jersey 94.4 Nevada 91.5 Hawaii 91.5Massachu-setts 91.4

Bottom 5Total population, 2004 . . . . . . . . . . . . 1,000 . . . 293,655 Wyoming 507 Vermont 621 North Dakota 634 Alaska 655 South Dakota 771

Metropolitan and micropolitan area population,2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000 . . . 274,114 Wyoming 362 North Dakota 437 Vermont 458 Alaska 489 South Dakota 548

Percent of total . . . . . . . . . . . . . . . . . . Percent . . 93.3 Montana 64.6 North Dakota 68.8 Maine 70.4 South Dakota 71.1 Wyoming 71.6

Nonmetropolitan area population, 20041. . . . . . 1,000 . . . 19,542 Connecticut – Delaware – New Jersey – Rhode Island – Hawaii (Z)Percent of total . . . . . . . . . . . . . . . . . . Percent . . 6.7 Connecticut – Delaware – New Jersey – Rhode Island – Hawaii (Z)

Urban population, 2000. . . . . . . . . . . . . . . . . 1,000 . . . 222,361 Vermont 232 Wyoming 321 North Dakota 359 South Dakota 391 Alaska 411Percent of total . . . . . . . . . . . . . . . . . . Percent . . 79.0 Vermont 38.2 Maine 40.2 West Virginia 46.1 Mississippi 48.8 South Dakota 51.9

– Represents zero. Z Less than 500 or .05%.

1Represents the area outside of metropolitan and micropolitan areas.

Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alpha-betically within the table and the remaining states are listed in the corresponding footnote.

Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites<http://www.census.gov/main/www/cen2000.html> and <http://www.census.gov/popest/topics/methodology/>.

Sources: Total, metropolitan, micropolitan, and nonmetropolitan area population—U.S. Census Bureau, ‘‘Annual Estimates of the Population for Counties: April 1, 2000 to July 1, 2004’’ (CO-EST2004-01), published 14 April 2005; Internet site <http://www.census.gov/popest/counties/CO-EST2004-01.html>; Urban population—U.S. Census Bureau, 2000 Census of Population and Housing,Population and Housing Unit Counts PHC-3, see Internet site <http://www.census.gov/prod/cen2000/index.html>.

Table E-9. State Rankings — Population by Race and Hispanic Origin—Percent of Total:2004

Race or Hispanic origin Unit UnitedStates State Value State Value State Value State Value State Value

Top 5White alone. . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 80.4 Maine 96.9 Vermont 96.9 NewHampshire 96.2 Idaho 95.5 West Virginia 95.2Black or African American alone . . . . . . . . . . . Percent . . 12.8 Mississippi 36.8 Louisiana 33.0 Georgia 29.6 South Carolina 29.4 Maryland 29.1American Indian, Alaska Native alone . . . . . . . Percent . . 1.0 Alaska 15.8 New Mexico 10.1 South Dakota 8.6 Oklahoma 8.1 Montana 6.4Asian alone. . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 4.2 Hawaii 41.8 California 12.1 New Jersey 7.0 New York 6.5 Washington 6.3Native Hawaiian, Other Pacific Islander alone . . Percent . . 0.2 Hawaii 9.1 Utah 0.7 Alaska 0.6 Nevada 0.5 Washington 0.5Two or more races . . . . . . . . . . . . . . . . . . . . Percent . . 1.5 Hawaii 20.1 Alaska 4.7 Oklahoma 4.0 Washington 2.9 Nevada 2.5Hispanic or Latino origin . . . . . . . . . . . . . . . . Percent . . 14.1 New Mexico 43.3 California 34.7 Texas 34.6 Arizona 28.0 Nevada 22.8Non-Hispanic White alone . . . . . . . . . . . . . . . Percent . . 67.4 Maine 96.1 Vermont 96.0 West Virginia 94.4 NewHampshire 94.3 Iowa 91.7

Bottom 5White alone. . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 80.4 Hawaii 26.5 Mississippi 61.3 Louisiana 64.1 Maryland 64.5 Georgia 66.4Black or African American alone . . . . . . . . . . . Percent . . 12.8 Montana 0.4 Idaho 0.6 Vermont 0.6 North Dakota 0.7 Maine 0.7American Indian, Alaska Native alone . . . . . . . Percent . . 1.0 Pennsylvania 0.2 West Virginia 0.2 Kentucky 0.2 Ohio 0.2 NewHampshire 0.2Asian alone. . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 4.2 Montana 0.5 West Virginia 0.6 Wyoming 0.6 North Dakota 0.7 South Dakota 0.7Native Hawaiian, Other Pacific Islander alone . . Percent . . 0.2 West Virginia (Z) Vermont (Z) Mississippi (Z) Ohio (Z) Maine (Z)Two or more races . . . . . . . . . . . . . . . . . . . . Percent . . 1.5 Mississippi 0.6 Louisiana 0.8 West Virginia 0.8 South Carolina 0.8 Alabama 0.9Hispanic or Latino origin . . . . . . . . . . . . . . . . Percent . . 14.1 West Virginia 0.8 Maine 0.9 Vermont 1.0 North Dakota 1.5 Mississippi 1.7Non-Hispanic White alone . . . . . . . . . . . . . . . Percent . . 67.4 Hawaii 23.3 New Mexico 43.5 California 44.5 Texas 49.8 Maryland 59.8

Z Less than .05%.

Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alpha-betically within the table and the remaining states are listed in the corresponding footnote.

Survey, Census, or Data Collection Method: Based on the Census of Population and Housing; for information, see Appendix B, Limitations of the Data and Methodology, and Internet sites<http://www.census.gov/main/www/cen2000.html> and <http://www.census.gov/popest/topics/methodology/>.

Sources: U.S. Census Bureau, ‘‘State Population Estimates with Sex, 6 Race Groups (5 Race Alone Groups and One Group with Two or More Race Groups) and Hispanic Origin: April 1, 2000 toJuly 1, 2004’’ (SC-EST2004-6RACE), published 11 August 2005; <http://www.census.gov/popest/datasets.html>; ‘‘Table 4: Annual Estimates of the Population by Race Alone and Hispanic or Latino Ori-gin for the United States and States: July 1, 2004’’ (SC-EST2004-04), published 11 August 2005; <http://www.census.gov/popest/states/asrh/SC-EST2004-04.html>.

E–9State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-10. State Rankings — Persons With and Without Health Insurance Coverage: 2003

Insurance item Unit UnitedStates State Value State Value State Value State Value State Value

Top 5PersonsPersons covered . . . . . . . . . . . . 1,000 . . . . 243,320 California 28,895 Texas 16,484 New York 16,104 Florida 13,849 Illinois 10,810Persons not covered . . . . . . . . . 1,000 . . . . 44,961 California 6,499 Texas 5,374 Florida 3,071 New York 2,866 Illinois 1,818Percent not covered . . . . . . . . . . Percent . . 15.6 Texas 24.6 New Mexico 22.1 Louisiana 20.6 Oklahoma 20.4 Montana 19.4ChildrenChildren not covered . . . . . . . . . 1,000 . . . . 8,373 Texas 1,264 California 1,196 Florida 616 New York 432 Illinois 320Percent not covered . . . . . . . . . . Percent . . 11.4 Texas 20.0 Oklahoma 17.9 Montana 17.7 Nevada 17.4 Florida 15.5

Bottom 5PersonsPersons covered . . . . . . . . . . . . 1,000 . . . . 243,320 Wyoming 411 Alaska 523 Vermont 553 North Dakota 563 South Dakota 659Persons not covered . . . . . . . . . 1,000 . . . . 44,961 Vermont 58 North Dakota 69 Wyoming 78 South Dakota 91 Delaware 91Percent not covered . . . . . . . . . . Percent . . 15.6 Minnesota 8.7 Vermont 9.5 Hawaii 10.1 Rhode Island 10.2 New Hampshire 10.3ChildrenChildren not covered . . . . . . . . . 1,000 . . . . 8,373 Vermont 5 North Dakota 11 Rhode Island 13 Wyoming 15 South Dakota 16Percent not covered . . . . . . . . . . Percent . . 11.4 Vermont 3.9 Rhode Island 5.2 New Hampshire 5.5 Michigan 5.8 Maine 6.0

Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alpha-betically within the table and the remaining states are listed in the corresponding footnote.

Survey, Census, or Data Collection Method: Based on the Annual Social and Economic Supplement to the Current Population Survey; for information, see Internet site<http://www.census.gov/hhes/income/p60_226sa.pdf>.

Source: U.S. Census Bureau, Current Population Reports, annual, and unpublished data.

Table E-11. State Rankings — Health Conditions and Chronic Disease-RelatedCharacteristics and Diabetes: 2001

Item Unit UnitedStates1 State Value State Value State Value State Value State Value

Top 5High blood pressure . . . . . . . . . . . . . . . . . . . . . . Percent . . 25.6 West Virginia 32.5 Alabama 31.6 Mississippi 31.3 Kentucky 30.1 Arkansas 29.7High blood cholesterol . . . . . . . . . . . . . . . . . . . . Percent . . 30.2 West Virginia 37.7 Nevada 36.5 Michigan 33.6 Tennessee 33.2 Rhode Island 33.1Cigarette smoking2. . . . . . . . . . . . . . . . . . . . . . . Percent . . 23.2 Kentucky 30.9 Oklahoma 28.7 West Virginia 28.2 Ohio 27.6 Indiana 27.4Heavy drinking3 . . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 5.1 Wisconsin 8.7 Nevada 7.8 Rhode Island 7.5 Delaware 7.1 Massachusetts 7.0Above healthy weight4 . . . . . . . . . . . . . . . . . . . . Percent . . 58.9 Mississippi 63.8 Alaska 63.3 West Virginia 63.0 Kentucky 62.1 Alabama6 61.6Obesity5. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 21.4 Mississippi 27.1 Michigan 25.8 West Virginia 25.3 Texas 25.2 Indiana 25.1Diagnosed diabetes . . . . . . . . . . . . . . . . . . . . . . Percent . . 6.5 Alabama 9.6 Mississippi 9.3 West Virginia 8.8 Florida 8.2 South Carolina 8.1No leisure time physical activity in the past month . . Percent . . 25.4 Louisiana 35.6 Tennessee 35.1 Kentucky7 33.4 Mississippi7 33.4 Oklahoma 32.8

Bottom 5High blood pressure . . . . . . . . . . . . . . . . . . . . . . Percent . . 25.6 New Mexico 20.0 Vermont 21.4 Colorado 21.6 Alaska 21.8 Minnesota 22.3High blood cholesterol . . . . . . . . . . . . . . . . . . . . Percent . . 30.2 New Mexico 24.8 Hawaii 25.1 Louisiana 27.6 Nebraska9 27.8 South Carolina 27.8Cigarette smoking2. . . . . . . . . . . . . . . . . . . . . . . Percent . . 23.2 Utah 13.2 California 17.2 Massachusetts 19.5 Idaho 19.6 Nebraska 20.2Heavy drinking3 . . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 5.1 Tennessee 2.5 Kentucky 2.7 West Virginia 3.0 Utah 3.1 Oklahoma 3.5Above healthy weight4 . . . . . . . . . . . . . . . . . . . . Percent . . 58.9 Hawaii 51.4 Colorado 51.7 Vermont 52.1 Massachusetts 54.4 Utah 54.8Obesity5. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Percent . . 21.4 Colorado 15.5 Massachusetts 17.1 Rhode Island10 18.1 Vermont10 18.1 Connecticut 18.2Diagnosed diabetes . . . . . . . . . . . . . . . . . . . . . . Percent . . 6.5 Alaska 4.0 Utah 4.3 Minnesota 4.4 Wyoming 4.5 Colorado 4.6No leisure time physical activity in the past month . . Percent . . 25.4 Utah 16.5 Minnesota11 17.1 Washington11 17.1 Hawaii 18.9 Colorado 19.2

1Represents median value among the states and DC.2Has smoked 100 cigarettes or more and currently smokes.3Having consumed an average of more than 2 drinks for males and more than 1 drink for females per day in the past month.4Overweight is defined as having a body mass index greater than or equal to 25.0 and less than or equal to 99.8 kg/m2.5In adults age 20 years and over. Obesity is defined as having a body mass index greater than or equal to 30.0 and less than or equal to 99.8 kg/m2.6Alabama and Oklahoma share the same rank.7Kentucky and Mississippi share the same rank.8Minnesota and Utah share the same rank.9Nebraska and South Carolina share the same rank.10Rhode Island and Vermont share the same rank.11Minnesota and Washington share the same rank.

Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alpha-betically within the table and the remaining states are listed in the corresponding footnote.

Survey, Census, or Data Collection Method: Based on the Behavioral Risk Factor Surveillance System (BRFSS); for information, see Internet site <http://www.cdc.gov/brfss/>.

Source: U.S. Centers for Disease Control and Prevention, Atlanta, GA, Morbidity and Mortality Weekly Report, Supplemental Summaries Vol. 52, No. SS-8, August 22, 2003; see Internet site<http://www.cdc.gov/mmwr/>.

E–10 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-12. State Rankings — Social Insurance, Human Services, Medicare, Medicaid, andState Children’s Health Insurance Program: 2003

Item Unit UnitedStates State Value State Value State Value State Value State Value

Top 5Social security benefits

Beneficiaries (Dec. 31)Total . . . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 45,312 California 4,304 Florida 3,278 New York 3,024 Texas 2,731 Pennsylvania 2,377Retired workers and dependents1 . . . . . . 1,000. . 31,652 California 3,110 Florida 2,433 New York 2,156 Texas 1,865 Pennsylvania 1,703

Payments2

Total . . . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 463,006 California 43,857 Florida 33,305 New York 32,187 Texas 27,068 Pennsylvania 24,919Retired workers and dependents1 . . . . . . mil. dol.. 309,918 California 30,115 Florida 23,685 New York 22,188 Texas 17,506 Pennsylvania 16,941

Federal food stamp programParticipants (Sept. 30) . . . . . . . . . . . . . . . . . 1,000. . 21,222 Texas 1,872 California 1,709 New York 1,436 Florida 1,041 Illinois 954Federal cost3 . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 21,332 Texas 1,881 California 1,806 New York 1,677 Illinois 1,053 Florida 988

National school lunch programParticipants . . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 27,928 California 2,732 Texas 2,672 New York 1,788 Florida 1,398 Georgia 1,130Federal cost4 . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 7,051 California 949 Texas 774 New York 489 Florida 411 Illinois 288

Supplemental security income (SSI)5

Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . 1,000. . 6,902 California 1,163 New York 625 Texas 455 Florida 409 Pennsylvania 311Annual payments . . . . . . . . . . . . . . . . . . . . mil. dol.. 34,696 California 7,573 New York 3,400 Florida 1,908 Texas 1,901 Pennsylvania 1,599

Temporary Assistance for Needy Families (TANF)6

Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . 1,000. . 4,867 California 1,107 New York 336 Texas 318 Pennsylvania 214 Michigan 206Annual payments7 . . . . . . . . . . . . . . . . . . . . mil. dol.. 26,340 California 5,851 New York 4,463 Michigan 1,205 Pennsylvania 1,109 Ohio 1,007

State unemployment insurance8

Beneficiaries, first payments . . . . . . . . . . . . . 1,000. . 9,827 California 1,380 New York 599 Pennsylvania 566 Texas 533 Michigan 502Benefits paid . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 41,117 California 6,115 New York 3,124 Pennsylvania 2,678 Illinois 2,455 Texas 2,204

Medicare enrollment . . . . . . . . . . . . . . . . . . . . . . 1,000. . 40,173 California 4,078 Florida 2,921 New York 2,763 Texas 2,390 Pennsylvania 2,110Medicaid9

Enrollment10. . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 49,755 California 9,301 New York 3,921 Texas 2,953 Florida 2,676 Tennessee 1,732Payments11 . . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 213,491 New York 31,489 California 23,636 Texas 11,121 Florida 9,827 Ohio 9,186

State Children’s Health Insurance Program (SCHIP)Enrollment12. . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 5,985 California 955 New York 897 Texas 726 Florida 443 Georgia 252Expenditures13 . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 4,276.4 California 565.0 Texas 405.6 Florida 357.7 New York 352.2 New Jersey 262.6

Bottom 5Social security benefits

Beneficiaries (Dec. 31)Total . . . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 45,312 Alaska 59 Wyoming 79 Vermont 107 North Dakota 114 South Dakota 138Retired workers and dependents1 . . . . . . 1,000. . 31,652 Alaska 38 Wyoming 58 Vermont 74 North Dakota 82 South Dakota 98

Payments2

Total . . . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 463,006 Alaska 574 Wyoming 809 Vermont 1,066 North Dakota 1,082 South Dakota 1,282Retired workers and dependents1 . . . . . . mil. dol.. 309,918 Alaska 364 Wyoming 566 North Dakota 719 Vermont 723 South Dakota 873

Federal food stamp programParticipants (Sept. 30) . . . . . . . . . . . . . . . . . 1,000. . 21,222 Wyoming 25 North Dakota 40 Vermont 41 New Hampshire 45 Delaware 46Federal cost3 . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 21,332 Wyoming 24 North Dakota 37 Vermont 38 New Hampshire 40 Delaware 48

National school lunch programParticipants . . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 27,928 Wyoming 49 Alaska 53 Vermont 54 Delaware 75 North Dakota 77Federal cost4 . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 7,051 Wyoming 10 Vermont 10 North Dakota 13 Delaware 15 New Hampshire 16

Supplemental security income (SSI)5

Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . 1,000. . 6,902 Wyoming 6 North Dakota 8 Alaska 11 Delaware14 13 New Hampshire14 13Annual payments . . . . . . . . . . . . . . . . . . . . mil. dol.. 34,696 Wyoming 25 North Dakota 32 Alaska 47 South Dakota 52 Vermont 57

Temporary Assistance for Needy Families (TANF)6

Recipients (Dec.) . . . . . . . . . . . . . . . . . . . . 1,000. . 4,867 Wyoming 1 Idaho 3 South Dakota 6 North Dakota 9 Delaware15 13Annual payments7 . . . . . . . . . . . . . . . . . . . . mil. dol.. 26,340 South Dakota 26 North Dakota 42 Idaho 43 Arkansas 54 Montana 56

State unemployment insurance8

Beneficiaries, first payments . . . . . . . . . . . . . 1,000. . 9,827 South Dakota 12 North Dakota16 16 Wyoming16 16 New Hampshire 23 Montana 27Benefits paid . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 41,117 South Dakota 33 North Dakota 47 Wyoming 49 Montana 81 Vermont 101

Medicare enrollment . . . . . . . . . . . . . . . . . . . . . . 1,000. . 40,173 Alaska 48 Wyoming 69 Vermont 93 North Dakota 103 Delaware 119Medicaid9

Enrollment10. . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 49,755 Wyoming 59 North Dakota 70 Montana 104 New Hampshire 104 Alaska 110Payments11 . . . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 213,491 Wyoming 280 North Dakota 423 South Dakota 504 Montana 533 Vermont 607

State Children’s Health Insurance Program (SCHIP)Enrollment12. . . . . . . . . . . . . . . . . . . . . . . . 1,000. . 5,985 Minnesota 4 North Dakota 5 Wyoming 5 Vermont 7 Washington 10Expenditures13 . . . . . . . . . . . . . . . . . . . . . . mil. dol.. 4,276.4 Minnesota (Z) Vermont 3.1 Wyoming 3.9 New Hampshire 4.4 Delaware 4.6

Z Less than $50,000.

1Includes special benefits for persons age 72 and over not insured under regular or transitional provisions of the Social Security Act.2Unnegotiated checks not deducted.3Includes benefits only and excludes administrative expenditures.4Includes cash payments and commodity costs.5Data cover federal SSI payments and/or federally administered state supplementation.6Prior to TANF, the cash assistance program to families was called Aid to Families with Dependent Children (1980–1996). Under the new welfare law (Personal Responsibility and Work Opportu-

nity Reconciliation Act of 1996), the program became TANF.7Represents federal and state funds expended in fiscal year.8Includes unemployment compensation for state and local government employees where covered by state law.9The data presented here are for 2002 because later data were unavailable at the time of this table’s preparation.10Persons who had payments made on their behalf at any time during the fiscal year.11Payments are for fiscal year and reflect federal and state hospital share payments. Data exclude disproportionate hospital share payments. Disproportionate share hospitals receive higher Medic-

aid reimbursement than other hospitals because they treat a disproportionate share of Medicaid patients.12Number of children ever enrolled in SCHIP.13Expenditures for which states are entitled to federal reimbursement under Title XXI and that reconcile any advance of Title XXI federal funds made on the basis of estimates.14Delaware, New Hampshire, South Dakota, and Vermont share the same rank.15Delaware and New Hampshire share the same rank.16North Dakota and Wyoming share the same rank.

Note: If two or more states share the same rank, they are listed alphabetically. When six or more states make up the top 5 or bottom 5 listing due to shared ranks, only five states are listed alpha-betically within the table and the remaining states are listed in the corresponding footnote.

Survey, Census, or Data Collection Method: Social security, federal food stamp program, and national school lunch program—For information, please refer to Table A-80. SSI, TANF, and stateunemployment insurance—For information, please refer to Table A-81. Medicare, Medicaid, and SCHIP—For information, please refer to Table A-83.

Sources: Social security, federal food stamp program, and national school lunch program—For source information, please refer to Table A-80. SSI, TANF, and state unemploymentinsurance—For source information, please refer to Table A-81. Medicare, Medicaid, and SCHIP—For source information, please refer to Table A-83.

E–11State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 12: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-13. Metropolitan Area Rankings — Population Indicators

Metropolitan statistical area

Area, 2000(square miles) Population

Population persquare mile of

land area1Population change,

April 1, 2000, to July 1, 2005Population change,

April 1, 1990, to April 1, 2000

Total Rank2005

(July 1) Rank2005

(July 1) Rank

Totalpopula-

tionchange2 Rank

Percentchange,

2000–2005 Rank

Totalpopula-

tionchange2 Rank

Percentchange,

1990–2000 Rank

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.6 111 158,291 239 57.7 328 −1,950 331 −1.2 332 12,241 256 8.3 242Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 927.2 280 702,235 69 776.0 20 7,275 211 1.0 284 37,385 142 5.7 281Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,958.0 162 162,842 231 84.2 294 4,976 239 3.2 226 11,259 264 7.7 253Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 2,878.3 101 848,879 57 301.3 103 23,004 107 2.8 238 16,432 230 2.0 318Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,297.0 9 797,940 61 85.9 295 68,287 43 9.4 68 130,233 43 21.7 79Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,026.5 155 147,965 255 75.2 309 2,930 274 2.0 260 −4,047 347 −2.7 351

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 1,475.7 220 790,535 63 541.8 36 50,141 55 6.8 106 53,707 103 7.8 250Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527.1 343 126,795 288 241.1 136 −2,349 336 −1.8 343 −1,398 339 −1.1 339Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,682.3 77 238,664 180 65.2 322 12,142 163 5.4 150 30,378 159 15.5 138Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573.7 338 79,952 353 139.5 225 −29 308 0.0 309 5,729 303 7.7 252Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,220.9 2 351,049 138 13.3 358 31,444 82 9.8 63 53,584 104 20.1 91Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452.9 350 130,412 280 288.5 109 −2,946 344 −2.2 350 2,689 323 2.1 317

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 757.5 310 175,514 224 244.4 137 9,774 181 5.9 130 20,544 205 14.1 153Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722.5 315 341,847 141 481.5 46 19,077 125 5.9 129 39,958 132 14.1 156Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 612.3 333 112,141 313 184.4 179 −102 310 −0.1 310 −3,785 346 −3.3 353Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,041.4 263 215,143 193 224.1 147 13,421 153 6.7 109 26,801 172 15.3 140Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,041.1 153 392,831 125 193.2 178 23,659 106 6.4 115 61,170 92 19.9 93Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 1,035.2 264 175,085 225 169.8 194 9,006 186 5.4 146 30,054 163 22.1 74

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 8,480.3 15 4,917,717 9 587.1 34 669,699 1 15.8 24 1,178,556 2 38.4 18Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.5 323 271,015 164 483.1 45 18,463 128 7.3 94 28,225 168 12.6 184Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615.6 331 123,254 296 202.4 168 8,162 196 7.1 97 27,946 170 32.1 26Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 3,324.5 87 520,332 95 158.7 206 20,683 116 4.1 184 63,921 89 14.7 147Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 4,279.9 57 1,452,529 38 343.9 85 202,776 15 16.2 22 403,536 18 47.7 9Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,161.4 17 756,825 66 93.0 288 95,172 34 14.4 30 118,168 47 21.7 78

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 3,104.5 93 2,655,675 19 1,017.9 17 102,681 31 4.0 189 170,822 37 7.2 263Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,556.1 80 147,068 256 43.3 339 2,149 285 1.5 278 −1,682 342 −1.1 340Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,305.6 237 226,514 188 572.0 32 4,284 251 1.9 266 35,625 146 19.1 102Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,214.6 59 733,802 67 182.1 186 27,835 97 3.9 195 82,120 66 13.2 170Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718.4 316 139,191 271 196.3 170 1,206 298 0.9 288 2,003 328 1.5 324Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630.9 326 109,029 323 245.6 130 −1,128 322 −1.0 328 −1,566 341 −1.4 343

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,388.2 132 383,530 126 178.1 189 −1,560 325 −0.4 318 23,864 180 6.6 268Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,503.6 128 183,471 214 86.5 291 16,645 134 10.0 61 39,034 137 30.5 31Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,054.8 94 141,382 267 46.8 337 26,015 104 22.5 5 40,409 130 53.9 6Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,711.2 49 146,593 257 31.3 350 7,689 203 5.5 141 17,405 222 14.3 151Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,238.4 245 248,422 173 202.6 164 −3,898 349 −1.5 337 −12,177 357 −4.6 356Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 5,369.8 41 1,090,126 48 205.8 163 38,820 75 3.7 206 95,394 58 10.0 216

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,613.3 79 99,346 339 27.9 353 4,627 246 4.9 161 10,888 267 13.0 172Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 1,089.6 254 151,057 251 140.4 226 −267 312 −0.2 313 10,557 271 7.5 258Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,345.1 232 177,709 221 134.5 234 2,203 284 1.3 281 18,837 215 12.0 193Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 1,186.3 249 159,013 238 134.3 237 8,580 193 5.7 133 21,253 198 16.5 126Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,833.1 5 544,201 88 46.2 338 79,361 38 17.1 19 145,244 40 45.4 12Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 4,511.5 52 4,411,835 11 1,258.0 9 19,495 123 0.4 299 257,449 25 6.2 274

Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751.4 311 280,440 161 378.0 74 10,653 174 3.9 194 65,949 85 29.3 38Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855.7 295 110,990 317 130.9 246 6,824 217 6.6 111 17,136 223 19.7 95Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 566.0 339 240,661 178 607.7 29 8,692 192 3.7 202 42,238 122 22.3 72Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 837.0 297 902,775 54 1,442.1 6 20,208 120 2.3 257 54,922 100 6.6 267Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,276.3 239 378,311 129 417.6 65 43,084 65 12.9 40 75,107 74 28.9 40Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,607.1 201 98,433 342 75.7 307 5,389 229 5.8 132 10,837 268 13.2 168

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 2,366.7 133 1,147,711 47 732.4 21 −22,400 360 −1.9 346 −19,177 360 −1.6 346Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 434.8 351 140,533 270 326.8 93 9,739 182 7.4 92 22,587 188 20.9 86Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 1,506.3 215 205,230 198 163.0 199 6,341 221 3.2 225 21,830 193 12.3 189Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 979.9 273 409,996 115 422.2 59 3,062 272 0.8 292 12,828 251 3.3 303Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 1,211.9 246 544,758 87 677.6 26 103,870 30 23.6 4 105,775 52 31.6 27Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.7 361 56,062 361 392.0 72 3,605 263 6.9 103 12,014 257 29.7 34

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,375.7 40 69,799 358 13.1 359 3,266 269 4.9 160 5,307 306 8.7 236Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,019.7 157 246,412 175 122.7 258 9,182 185 3.9 196 26,590 175 12.6 182Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 1,924.3 165 215,742 192 112.2 270 5,463 228 2.6 249 7,427 290 3.7 297Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,547.0 126 306,435 150 121.0 259 −3,200 347 −1.0 329 1,946 329 0.6 331Charleston-North Charleston, SC . . . . . . . . . . . . . . . . . . . 3,162.9 91 594,899 81 229.6 145 45,927 62 8.4 78 42,158 124 8.3 239Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 3,147.2 92 1,521,278 36 491.1 47 190,859 16 14.3 31 305,805 22 29.8 33

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,657.9 194 188,424 212 114.3 272 14,403 146 8.3 80 30,136 162 20.9 85Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,137.9 146 492,126 98 235.6 139 15,625 139 3.3 222 43,321 120 10.0 215Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,687.6 117 85,163 351 31.7 349 3,556 264 4.4 178 8,465 284 11.6 200Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 9,579.2 8 9,443,356 3 1,309.4 8 344,741 10 3.8 200 916,240 8 11.2 206Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677.1 187 214,185 194 130.7 242 11,014 172 5.4 147 21,051 203 11.6 201Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 4,465.9 54 2,070,441 25 470.8 48 60,784 47 3.0 230 164,715 38 8.9 229

Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,242.2 139 243,665 176 112.7 271 11,621 169 5.0 159 42,721 121 22.6 68Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.9 305 108,036 325 141.4 223 4,021 259 3.9 197 16,660 226 19.1 103Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 3,978.9 67 2,126,318 23 1,061.0 12 −21,692 359 −1.0 327 45,895 117 2.2 314Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,315.7 236 127,668 287 102.5 284 18,983 126 17.5 17 38,890 139 55.7 4College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 2,133.7 147 189,735 209 90.1 289 4,850 241 2.6 248 33,887 153 22.4 69Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 2,688.5 116 587,500 84 218.9 155 50,016 56 9.3 69 128,002 44 31.3 28

Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,161.9 251 153,283 247 133.2 239 7,617 204 5.2 154 23,656 181 19.4 98Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,833.9 71 689,878 70 186.4 182 42,617 68 6.6 110 98,823 56 18.0 110Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,960.0 161 284,299 158 146.8 218 2,531 279 0.9 287 15,318 239 5.7 279Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409.4 354 73,540 357 180.7 188 2,105 286 2.9 234 7,778 288 12.2 190Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,013.6 65 1,708,625 32 428.9 58 95,788 33 5.9 127 207,526 29 14.8 146Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,401.4 130 413,553 111 232.5 141 10,273 177 2.5 251 35,494 147 9.7 219

See footnotes at end of table.

E–12 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 13: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Metropolitan statistical area

Area, 2000(square miles) Population

Population persquare mile of

land area1Population change,

April 1, 2000, to July 1, 2005Population change,

April 1, 1990, to April 1, 2000

Total Rank2005

(July 1) Rank2005

(July 1) Rank

Totalpopula-

tionchange2 Rank

Percentchange,

2000–2005 Rank

Totalpopula-

tionchange2 Rank

Percentchange,

1990–2000 Rank

Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679.0 321 78,640 356 116.3 261 501 304 0.6 295 7,342 291 10.4 212Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 759.0 309 100,667 336 133.7 235 −1,341 323 −1.3 334 365 336 0.4 333Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 9,284.2 10 5,819,475 5 647.3 27 657,957 2 12.7 42 1,172,250 3 29.4 36Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.5 325 131,701 278 207.7 162 11,640 168 9.7 65 21,422 196 21.7 80Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 902.1 285 82,344 352 91.6 287 −1,580 326 −1.9 345 −4,338 349 −4.9 357Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022.1 266 107,997 326 106.5 277 −2,159 334 −2.0 347 1,445 330 1.3 325

Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 2,313.8 135 376,309 130 165.8 196 255 306 0.1 307 7,868 287 2.1 316Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,716.1 184 843,577 59 493.9 44 −4,576 353 −0.5 321 4,318 314 0.5 332Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,317.1 235 148,345 253 116.3 263 2,478 281 1.7 272 14,311 242 10.9 209Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.4 336 110,167 322 189.6 177 −4,539 352 −4.0 359 −2,500 344 −2.1 349Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 1,432.4 224 490,055 100 444.3 55 46,712 58 10.5 55 72,631 77 19.6 97Denver-Aurora, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,387.2 16 2,359,994 22 282.3 113 181,600 17 8.3 79 507,267 12 30.7 29

Des Moines, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.2 99 522,454 93 181.5 190 41,056 70 8.5 75 65,048 87 15.6 135Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 4,235.1 58 4,488,335 10 1,146.7 11 35,778 76 0.8 291 203,858 30 4.8 288Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,728.9 183 136,594 273 79.5 302 5,733 224 4.4 176 10,509 272 8.7 235Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 800.1 301 143,968 260 244.0 138 17,268 129 13.6 36 15,704 237 14.1 153Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616.6 330 91,631 347 150.7 210 2,475 282 2.8 241 2,740 320 3.2 305Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,215.1 11 275,413 162 32.8 347 −73 309 0.0 308 6,256 301 2.3 312

Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,812.1 172 456,187 103 258.5 125 32,384 80 7.6 88 81,868 67 23.8 62Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,686.6 186 154,039 245 93.5 286 5,702 225 3.8 199 10,794 270 7.8 249El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,481.7 53 155,823 244 37.3 345 13,462 152 9.5 67 33,058 156 30.2 32Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893.6 288 110,646 319 124.2 253 3,103 271 2.9 236 6,628 297 6.6 270Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467.9 349 195,362 205 421.0 64 12,571 160 6.9 102 26,593 174 17.0 117Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.8 353 89,512 348 219.4 149 −1,558 324 −1.7 341 −4,125 348 −4.3 355

El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014.7 269 721,598 68 712.3 22 41,976 69 6.2 121 88,012 61 14.9 145Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,558.4 209 280,446 160 349.7 79 −397 314 −0.1 311 5,271 307 1.9 320Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 4,721.8 48 335,180 143 73.6 313 12,203 162 3.8 201 40,047 131 14.2 152Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,348.0 134 349,543 139 152.6 209 6,728 219 2.0 263 17,957 221 5.5 284Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,444.0 21 87,560 349 11.9 360 4,720 245 5.7 134 5,120 309 6.6 269Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,820.7 105 184,857 213 65.8 321 10,490 175 6.0 125 21,071 202 13.7 159

Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,538.4 38 126,208 290 22.9 355 12,407 161 10.9 53 22,196 192 24.2 58Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,050.8 260 345,536 140 331.0 88 8,923 188 2.7 247 39,187 134 13.2 169Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 3,213.0 90 405,101 117 127.7 252 58,056 50 16.7 20 107,581 49 44.9 15Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,661.2 3 123,866 295 6.7 361 7,546 205 6.5 113 19,729 212 20.4 90Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649.3 324 443,883 107 693.6 24 7,735 201 1.8 267 5,682 305 1.3 326Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,370.5 230 198,443 202 145.8 217 5,288 233 2.7 243 16,960 225 9.6 220

Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 1,342.4 233 142,351 266 112.6 268 −599 318 −0.4 320 11,623 262 8.9 231Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 765.8 308 99,337 340 137.4 232 2,041 289 2.1 258 7,213 293 8.0 244Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 2,633.9 120 271,927 163 104.5 279 20,433 119 8.1 85 65,358 86 35.1 22Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,092.8 63 284,994 157 71.2 315 11,823 165 4.3 180 39,092 136 16.7 123Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 1,082.0 257 182,172 217 194.6 173 11,674 167 6.8 104 26,722 173 18.6 106Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,368.4 231 404,414 118 296.7 106 14,258 147 3.7 207 35,721 145 10.1 213

Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,017.4 32 877,584 56 147.2 216 78,177 40 9.8 64 131,917 42 19.8 94Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548.8 342 103,189 333 192.9 174 −270 313 −0.3 314 3,619 316 3.6 298Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,324.6 234 240,254 179 196.4 171 7,862 200 3.4 217 41,129 129 21.5 82Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429.2 352 165,771 229 420.7 67 26,456 102 19.0 12 43,849 119 45.9 11Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,777.5 177 128,572 285 75.4 308 4,227 254 3.4 216 5,806 302 4.9 286Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556.7 340 114,448 308 207.0 161 1,119 301 1.0 285 8,663 283 8.3 240

Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,437.6 82 97,073 344 28.5 352 −405 315 −0.4 319 −5,703 351 −5.5 359Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,341.1 85 129,872 281 39.0 342 12,937 158 11.1 52 23,110 185 24.8 57Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 2,890.7 100 771,185 65 272.7 118 30,703 87 4.1 183 94,568 59 14.6 148Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,711.7 113 79,569 354 29.5 351 −788 319 −1.0 326 2,666 324 3.4 302Greeley, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,021.6 64 228,943 184 57.4 330 48,082 57 26.6 2 49,115 112 37.3 19Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,849.0 104 297,493 154 159.2 203 14,996 142 5.3 151 38,901 138 16.0 131

Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 2,020.0 156 674,500 73 336.7 87 31,053 86 4.8 162 103,400 53 19.1 101Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 920.7 281 162,596 233 177.3 192 9,903 179 6.5 114 29,464 167 23.9 60Greenville, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,030.8 154 591,251 83 295.3 107 31,329 83 5.6 139 87,787 62 18.6 105Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.8 159 255,383 170 169.9 195 9,193 184 3.7 203 38,315 140 18.4 107Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 1,018.8 267 251,311 171 249.3 135 28,540 93 12.8 41 29,997 164 15.6 137Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 1,391.5 228 143,420 262 103.1 281 13,959 149 10.8 54 27,992 169 27.6 44

Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 1,664.4 191 521,812 94 320.3 96 12,738 159 2.5 252 34,832 152 7.3 261Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870.9 290 111,689 315 128.5 247 3,522 265 3.3 223 20,004 208 22.7 67Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 1,606.7 202 1,188,241 44 784.3 19 39,623 72 3.4 214 24,940 177 2.2 313Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,620.9 199 131,871 276 81.9 299 8,059 197 6.5 112 14,209 244 13.0 173Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 1,665.8 190 355,654 136 217.1 154 13,834 150 4.0 186 49,442 110 16.9 119Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 1,006.0 271 68,627 359 74.6 300 −3,287 348 −4.6 361 12,967 249 22.0 75

Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,632.0 197 255,406 169 451.2 53 17,092 130 7.2 96 50,546 108 26.9 46Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,126.9 148 905,266 53 1,508.8 5 29,110 91 3.3 219 39,925 133 4.8 290Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 734.6 312 93,551 346 138.2 233 5,483 227 6.2 120 14,671 241 20.0 92Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 3,552.1 81 199,670 200 85.3 292 5,193 238 2.7 246 11,635 261 6.4 272Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 10,061.9 6 5,280,077 7 591.4 31 564,670 5 12.0 45 948,072 7 25.2 54Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 1,773.8 179 286,012 156 163.5 197 −2,637 342 −0.9 325 460 334 0.2 336

Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,419.9 227 368,661 133 268.5 121 26,034 103 7.6 89 49,329 111 16.8 120Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,006.2 98 113,436 309 38.3 344 11,759 166 11.6 47 12,927 250 14.6 149Indianapolis, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,887.9 69 1,640,591 34 424.7 61 115,487 26 7.6 90 230,887 28 17.8 114Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.1 247 138,524 272 117.1 262 6,848 216 5.2 156 15,945 234 13.8 158Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491.6 347 100,018 338 210.1 157 3,517 266 3.6 208 2,404 325 2.6 309Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723.8 314 163,629 230 231.4 140 5,207 237 3.3 220 8,666 282 5.8 278

See footnotes at end of table.

E–13State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 14: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Metropolitan statistical area

Area, 2000(square miles) Population

Population persquare mile of

land area1Population change,

April 1, 2000, to July 1, 2005Population change,

April 1, 1990, to April 1, 2000

Total Rank2005

(July 1) Rank2005

(July 1) Rank

Totalpopula-

tionchange2 Rank

Percentchange,

2000–2005 Rank

Totalpopula-

tionchange2 Rank

Percentchange,

1990–2000 Rank

Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,795.3 73 522,580 92 140.3 230 25,383 105 5.1 158 50,256 109 11.2 205Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 847.4 296 110,857 318 131.0 241 3,492 267 3.3 224 16,576 227 18.3 108Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,698.1 76 1,248,371 42 387.6 73 125,621 24 11.2 50 197,537 34 21.4 83Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 908.6 283 152,440 249 198.7 166 2,085 287 1.4 280 517 333 0.3 335Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726.2 313 157,538 240 218.8 152 5,231 236 3.4 215 12,797 252 9.2 224Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,278.4 138 143,867 261 63.9 324 3,815 260 2.7 244 19,348 214 16.0 130

Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863.9 292 188,944 211 221.2 151 7,337 210 4.0 188 21,238 199 13.2 166Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 693.4 317 148,073 254 215.2 153 −4,525 351 −3.0 356 −10,431 354 −6.4 360Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,476.4 219 112,084 314 76.3 306 4,322 250 4.0 191 14,142 245 15.1 143Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,268.0 241 166,178 228 131.3 244 8,856 190 5.6 137 22,412 190 16.6 124Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,670.4 189 319,348 145 272.2 117 4,482 248 1.4 279 21,395 197 7.3 262Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 681.4 319 107,972 327 159.5 202 4,139 256 4.0 192 7,578 289 7.9 248

Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,949.4 20 1,947,694 27 247.9 133 111,276 27 6.1 124 199,510 33 12.2 192Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . . . . . . . 3,025.5 96 220,961 191 75.0 312 29,139 90 15.2 26 41,789 126 27.9 42Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 2,858.6 102 351,528 137 124.5 257 20,816 115 6.3 118 61,892 90 23.0 66Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 2,047.1 152 301,294 152 149.7 211 2,810 276 0.9 286 22,806 186 8.3 241Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,160.8 252 182,693 216 162.2 200 4,944 240 2.8 240 12,445 253 7.5 257Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,931.7 164 655,400 78 352.9 80 39,321 74 6.4 116 81,162 69 15.2 142

Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.3 341 101,362 335 183.3 185 −179 311 −0.2 312 4,595 312 4.7 291La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,048.8 262 128,899 283 127.5 248 2,061 288 1.6 275 10,437 273 9.0 228Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,284.5 238 183,340 215 143.5 221 4,799 243 2.7 245 19,693 213 12.4 186Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,086.8 255 247,824 174 245.4 134 8,888 189 3.7 204 30,346 161 14.5 150Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,025.9 95 194,977 207 81.8 298 1,409 297 0.7 293 16,174 233 9.1 225Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,010.0 158 542,912 89 289.7 112 58,988 48 12.2 43 78,542 70 19.4 99

Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 983.8 272 490,562 99 516.9 40 19,904 121 4.2 182 47,836 113 11.3 203Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 1,714.5 185 455,315 104 266.7 119 7,493 208 1.7 273 15,054 240 3.5 301Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,375.5 84 224,695 189 66.9 319 31,578 81 16.4 21 59,878 96 44.9 14Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,814.6 72 189,444 210 49.8 334 14,762 144 8.5 76 39,172 135 28.9 39Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 8,090.7 19 1,710,551 31 216.3 158 334,813 11 24.3 3 634,306 11 85.5 2Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.5 348 102,914 334 225.2 146 2,949 273 3.0 233 18,164 220 22.2 73

Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.8 256 112,429 312 105.2 280 −2,567 341 −2.2 351 3,510 317 3.1 306Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.6 359 125,578 292 346.9 82 5,251 235 4.4 177 6,583 299 5.8 277Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,497.1 216 59,109 360 39.8 341 1,148 300 2.0 262 6,602 298 12.9 179Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 497.2 346 108,039 324 229.9 143 4,246 253 4.1 185 −1,466 340 −1.4 342Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484.1 218 429,889 110 290.7 110 21,563 111 5.3 152 59,898 95 17.2 116Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406.9 355 106,234 328 263.0 120 −2,239 335 −2.1 349 −1,282 338 −1.2 341

Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,422.4 226 281,553 159 199.1 169 14,766 143 5.5 142 37,696 141 16.5 125Little Rock-North Little Rock, AR. . . . . . . . . . . . . . . . . . . . 4,198.2 60 643,272 80 157.3 207 32,754 79 5.4 149 75,484 73 14.1 157Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,841.4 171 110,426 321 60.3 326 7,706 202 7.5 91 23,305 184 29.3 37Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,807.7 173 201,501 199 112.9 269 7,459 209 3.8 198 13,989 246 7.8 251Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,166.3 250 97,325 343 85.4 293 4,377 249 4.7 164 10,829 269 13.2 167Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 5,700.3 35 12,923,547 2 2,664.6 2 557,928 6 4.5 169 1,091,907 4 9.7 217

Louisville, KY-IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,196.3 61 1,208,452 43 292.2 108 46,037 60 4.0 193 106,002 51 10.0 214Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,802.4 175 258,970 167 144.0 219 9,270 183 3.7 205 19,760 211 8.6 237Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,146.7 145 236,910 181 111.5 273 8,294 195 3.6 210 22,390 191 10.9 210Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,737.7 182 228,712 186 132.6 238 6,327 222 2.8 237 15,752 236 7.6 255Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,153.3 143 142,788 263 66.8 320 19,679 122 16.0 23 35,019 149 39.8 17Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,802.1 106 537,039 90 196.1 172 35,265 77 7.0 99 69,451 80 16.1 129

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 892.2 289 401,291 120 458.1 52 20,450 118 5.4 148 44,768 118 13.3 165Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500.3 345 127,949 286 257.4 124 −903 321 −0.7 323 2,715 322 2.2 315McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 1,582.7 203 678,275 72 432.0 62 108,812 29 19.1 11 185,918 35 48.5 8Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,801.8 107 195,322 206 70.1 317 14,047 148 7.7 87 34,880 151 23.8 61Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,699.6 50 1,260,905 41 275.8 116 55,711 52 4.6 166 137,941 41 12.9 176Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,971.9 160 241,706 177 125.3 254 31,152 85 14.8 28 32,151 157 18.0 110

Miami-Fort Lauderdale-Miami Beach, FL. . . . . . . . . . . . . 6,137.2 30 5,422,200 6 1,057.8 13 414,212 9 8.3 81 951,464 6 23.5 64Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 613.0 332 110,512 320 184.8 183 406 305 0.4 301 3,040 318 2.8 307Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 902.0 286 121,371 298 134.9 236 5,362 231 4.6 167 9,398 279 8.8 232Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 3,322.3 88 1,512,855 37 1,036.2 14 12,111 164 0.8 290 68,592 82 4.8 289Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 6,364.1 27 3,142,779 16 518.4 39 173,962 19 5.9 131 429,972 15 16.9 118Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,618.3 121 100,086 337 38.5 343 4,284 252 4.5 170 17,115 224 21.8 77Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,644.0 195 401,427 119 325.6 91 1,584 294 0.4 300 21,200 201 5.6 283Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,514.7 213 505,505 97 338.4 86 58,508 49 13.1 38 76,475 72 20.6 87Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,538.0 211 171,138 226 115.0 265 1,085 302 0.6 296 7,172 294 4.4 295Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680.0 320 153,935 246 279.4 114 7,990 198 5.5 143 12,345 254 9.2 223Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,786.5 108 357,244 135 131.1 240 10,716 173 3.1 229 41,353 127 13.6 162Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017.3 268 114,501 307 113.5 267 3,301 268 3.0 231 6,654 296 6.4 271

Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.5 302 130,575 279 182.6 187 7,494 207 6.1 122 22,490 189 22.4 71Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 1,920.5 166 113,171 311 65.2 323 10,192 178 9.9 62 23,424 182 29.4 35Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.9 357 116,362 303 296.1 104 −2,407 338 −2.0 348 −890 337 −0.7 337Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 1,459.3 222 175,554 223 344.9 83 5,354 232 3.1 227 11,217 265 7.1 264Myrtle Beach-Conway-North Myrtle Beach, SC . . . . . . . . . . 1,255.0 242 226,992 187 200.2 175 30,363 88 15.4 25 52,576 106 36.5 21Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 788.3 304 132,764 275 176.1 191 8,456 194 6.8 105 13,514 248 12.2 191

Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 2,304.9 137 307,242 149 151.7 215 55,865 51 22.2 6 99,278 55 65.3 3Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . . . 5,762.7 34 1,422,544 39 250.1 132 110,751 28 8.4 77 263,573 24 25.1 55New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 862.0 293 846,766 58 1,397.3 7 22,758 109 2.8 242 19,789 210 2.5 310New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 7,097.0 23 1,319,367 40 418.4 63 2,855 275 0.2 304 52,119 107 4.1 296New York-Northern New Jersey-Long Island, NY-NJ-PA . . 9,212.2 12 18,747,320 1 2,787.3 1 423,938 7 2.3 256 1,476,956 1 8.8 233Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 1,581.4 204 162,611 232 284.8 111 156 307 0.1 306 1,075 332 0.7 330

See footnotes at end of table.

E–14 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 15: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Metropolitan statistical area

Area, 2000(square miles) Population

Population persquare mile of

land area1Population change,

April 1, 2000, to July 1, 2005Population change,

April 1, 1990, to April 1, 2000

Total Rank2005

(July 1) Rank2005

(July 1) Rank

Totalpopula-

tionchange2 Rank

Percentchange,

2000–2005 Rank

Totalpopula-

tionchange2 Rank

Percentchange,

1990–2000 Rank

Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 771.7 307 266,618 166 400.3 69 7,512 206 2.9 235 4,131 315 1.6 323Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,663.0 193 303,442 151 192.2 180 44,526 63 17.2 18 64,083 88 32.9 25Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 620.3 328 99,286 341 389.4 71 −3,040 345 −3.0 357 7,237 292 7.6 256Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901.7 287 125,339 293 139.1 231 4,216 255 3.5 213 2,189 326 1.8 321Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904.0 169 486,842 101 327.0 94 44,186 64 10.0 60 90,857 60 25.8 51Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,581.8 36 1,156,812 46 209.6 159 61,391 46 5.6 138 124,379 46 12.8 180

Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.6 306 228,867 185 314.8 99 21,512 112 10.4 58 46,117 115 28.6 41Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 4,406.2 55 813,170 60 186.4 181 46,030 61 6.0 126 81,244 68 11.8 197Orlando-Kissimee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,011.8 66 1,933,255 28 553.8 37 288,692 12 17.6 16 419,709 16 34.3 23Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.7 337 159,482 237 363.3 76 2,719 278 1.7 270 16,443 229 11.7 199Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931.4 279 111,599 316 123.3 256 1,724 291 1.6 276 5,194 308 5.0 285Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 2,208.2 142 796,106 62 431.5 57 42,909 66 5.7 135 84,181 64 12.6 183

Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 1,557.0 210 531,250 91 521.9 41 55,020 53 11.6 48 77,252 71 19.4 100Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 1,033.3 265 161,558 236 211.5 160 13,341 155 9.0 71 21,223 200 16.7 122Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 1,386.5 229 162,529 234 119.0 260 −2,095 333 −1.3 333 2,717 321 1.7 322Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,526.9 212 157,199 242 130.5 245 6,635 220 4.4 175 18,648 217 14.1 155Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 2,049.1 151 439,877 109 262.0 122 27,724 98 6.7 108 67,747 84 19.7 96Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,518.3 127 369,161 132 149.5 212 2,286 283 0.6 297 8,347 286 2.3 311

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 4,870.6 44 5,823,233 4 1,257.7 10 136,092 23 2.4 255 251,679 27 4.6 292Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 14,598.4 4 3,865,077 14 265.2 126 613,201 4 18.9 13 1,013,396 5 45.3 13Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,084.7 150 104,865 331 51.3 332 −2,480 339 −2.3 353 383 335 0.4 334Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,343.1 42 2,386,074 21 451.9 51 −45,013 361 −1.9 344 −37,202 361 −1.5 345Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 946.3 278 131,868 277 141.6 220 −3,085 346 −2.3 352 −4,399 350 −3.2 352Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,590.1 124 85,908 350 34.1 346 2,805 277 3.4 218 9,991 275 13.7 160

Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 2,858.4 103 514,227 96 247.2 131 26,659 101 5.5 144 46,311 114 10.5 211Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 6,817.8 24 2,095,861 24 313.6 101 167,980 20 8.7 74 404,140 17 26.5 47Port St. Lucie-Fort Pierce, FL. . . . . . . . . . . . . . . . . . . . . . 1,440.9 223 381,033 128 337.8 92 61,607 45 19.3 9 68,355 83 27.2 45Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 1,663.9 192 667,742 75 412.7 66 46,225 59 7.4 93 54,408 101 9.6 221Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,127.8 18 198,701 201 24.5 354 31,184 84 18.6 14 59,803 97 55.5 5Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 2,236.2 140 1,622,520 35 1,013.4 15 39,523 73 2.5 253 73,208 76 4.8 287

Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,547.3 37 452,851 105 84.0 305 76,073 41 20.2 7 107,367 50 39.9 16Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,397.7 131 151,322 250 63.3 325 9,850 180 7.0 101 18,421 218 15.0 144Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 859.1 294 157,536 241 227.0 144 15,909 135 11.2 49 30,652 158 27.6 43Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.9 303 195,708 204 587.7 30 6,877 214 3.6 209 13,797 247 7.9 247Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,147.6 144 949,681 51 448.8 56 152,655 22 19.2 10 255,971 26 47.3 10Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,266.8 29 118,203 301 18.9 357 5,385 230 4.8 163 9,597 278 9.3 222

Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865.7 291 396,314 123 461.4 50 22,676 110 6.1 123 37,115 143 11.0 208Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,847.4 70 179,904 220 47.5 335 16,648 133 10.2 59 16,220 232 11.0 207Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,815.1 25 393,946 124 59.6 327 51,061 54 14.9 27 85,692 63 33.3 24Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,841.7 33 1,175,654 45 205.8 165 78,697 39 7.2 95 147,713 39 15.6 136Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 27,408.5 1 3,909,954 13 143.4 227 655,133 3 20.1 8 666,028 10 25.7 52Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,896.7 170 292,983 155 156.3 208 4,729 244 1.6 274 19,911 209 7.4 259

Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,644.0 196 176,984 222 109.4 274 13,366 154 8.2 83 21,673 194 15.3 141Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,870.1 45 1,039,028 49 354.5 78 1,197 299 0.1 305 35,421 148 3.5 300Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 801.2 300 339,178 142 426.6 60 18,974 127 5.9 128 36,485 144 12.9 178Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,049.3 261 145,507 259 139.2 228 2,516 280 1.8 268 9,791 276 7.3 260Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518.5 344 94,198 345 183.6 184 3,633 262 4.0 190 9,314 280 11.5 202Sacramento-Arden-Arcade-Roseville, CA . . . . . . . . . . . . . . 5,309.3 43 2,042,283 26 400.9 70 245,426 14 13.7 35 315,755 21 21.3 84

Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 815.8 299 208,356 195 257.5 123 −1,686 328 −0.8 324 −1,907 343 −0.9 338St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,802.9 174 181,159 219 103.3 282 13,763 151 8.2 82 18,416 219 12.4 187St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,429.9 129 118,885 299 49.0 336 28,531 94 31.6 1 41,794 125 86.1 1St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,673.9 188 121,961 297 73.4 311 −1,861 330 −1.5 336 6,520 300 5.6 282St. Louis, MO-IL4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,844.0 14 2,778,518 18 321.3 95 79,846 37 3.0 232 117,790 48 4.6 293Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,938.3 163 375,560 131 195.1 176 28,342 95 8.2 84 69,190 81 24.9 56Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,771.1 75 412,104 112 124.1 250 10,342 176 2.6 250 46,102 116 13.0 174Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,010.6 270 116,247 305 165.1 198 6,856 215 6.3 119 11,612 263 11.9 195Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,977.0 7 1,034,484 50 108.4 276 65,601 44 6.8 107 200,783 32 26.1 50San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,592.1 123 105,367 330 40.9 340 −414 316 −0.4 317 5,694 304 5.7 280San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,384.7 22 1,889,797 29 257.5 127 178,071 18 10.4 57 303,958 23 21.6 81San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 4,525.5 51 2,933,462 17 698.4 23 119,629 25 4.3 181 315,817 20 12.6 181

Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 626.2 327 78,665 355 308.5 98 −886 320 −1.1 331 2,772 319 3.6 299San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 3,424.4 83 4,152,688 12 1,679.2 3 28,946 92 0.7 294 437,148 14 11.9 196San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 2,694.7 115 1,754,988 30 654.8 25 19,169 124 1.1 282 201,545 31 13.1 171San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 3,615.5 78 255,478 168 77.3 304 8,797 191 3.6 211 29,519 166 13.6 161Santa Barbara-Santa Maria, CA . . . . . . . . . . . . . . . . . . . . 3,789.1 74 400,762 121 146.4 214 1,415 296 0.4 302 29,739 165 8.0 243Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 607.2 334 249,666 172 561.0 33 −5,936 356 −2.3 354 25,868 176 11.3 204

Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,910.8 167 140,855 268 73.8 314 11,567 170 8.9 72 30,364 160 30.7 30Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 1,768.2 180 466,477 102 296.0 105 7,863 199 1.7 271 70,392 78 18.1 109Sarasota-Bradenton-Venice, FL . . . . . . . . . . . . . . . . . . . . 1,617.9 200 673,035 74 512.6 43 83,072 35 14.1 32 100,476 54 20.5 88Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,569.6 207 313,883 148 231.0 142 20,584 117 7.0 100 34,940 150 13.5 163Scranton-Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . . 1,776.4 178 550,546 86 315.1 97 −10,079 358 −1.8 342 −14,639 358 −2.5 350Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 6,309.4 28 3,203,314 15 543.5 35 159,429 21 5.2 153 484,714 13 18.9 104

Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,271.0 240 114,610 306 223.0 148 1,954 290 1.7 269 8,769 281 8.4 238Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 979.2 274 116,834 302 125.1 251 6,239 223 5.6 136 15,574 238 16.4 127Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 2,698.3 114 383,233 127 147.5 213 7,268 212 1.9 265 16,278 231 4.5 294Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,094.6 149 142,571 264 68.8 318 −482 317 −0.3 315 11,703 260 8.9 230Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,586.9 125 207,918 196 80.6 301 20,825 114 11.1 51 33,593 155 21.9 76South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 969.4 275 318,156 146 334.9 84 1,495 295 0.5 298 20,134 207 6.8 266

See footnotes at end of table.

E–15State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-13. Metropolitan Area Rankings — Population Indicators—Con.

Metropolitan statistical area

Area, 2000(square miles) Population

Population persquare mile of

land area1Population change,

April 1, 2000, to July 1, 2005Population change,

April 1, 1990, to April 1, 2000

Total Rank2005

(July 1) Rank2005

(July 1) Rank

Totalpopula-

tionchange2 Rank

Percentchange,

2000–2005 Rank

Totalpopula-

tionchange2 Rank

Percentchange,

1990–2000 Rank

Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819.1 298 266,809 165 329.0 90 13,027 157 5.1 157 26,991 171 11.9 194Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,780.7 176 440,706 108 249.8 128 22,767 108 5.4 145 56,575 98 15.7 134Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,192.4 248 205,527 197 173.9 193 4,087 257 2.0 259 11,887 259 6.3 273Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,904.3 168 687,264 71 371.7 75 7,250 213 1.1 283 7,044 295 1.0 328Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,020.8 97 398,124 122 132.3 243 29,750 89 8.1 86 69,556 79 23.3 65Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.6 356 142,376 265 355.9 77 −2,365 337 −1.6 339 −2,806 345 −1.9 348

State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,111.9 253 140,561 269 126.9 249 4,803 242 3.5 212 11,972 258 9.7 218Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,426.3 225 664,116 76 474.7 49 100,518 32 17.8 15 82,970 65 17.3 115Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.0 318 105,517 329 158.7 201 881 303 0.8 289 2,009 327 2.0 319Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,779.4 110 651,763 79 272.8 115 1,609 293 0.2 303 −9,710 353 −1.5 344Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,602.7 122 334,886 144 140.3 229 14,582 145 4.6 168 61,208 91 23.6 63Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 3,330.9 86 2,647,658 20 1,036.7 16 251,645 13 10.5 56 328,038 19 15.9 133

Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484.8 217 168,059 227 114.7 264 −2,895 343 −1.7 340 4,365 313 2.6 308Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 1,560.3 208 133,805 274 88.5 290 4,056 258 3.1 228 9,617 277 8.0 245Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,208.9 141 656,696 77 405.4 68 −2,492 340 −0.4 316 5,031 311 0.8 329Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,290.2 89 229,075 183 70.7 316 4,524 247 2.0 261 14,294 243 6.8 265Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.8 360 366,256 134 1,620.6 4 15,495 140 4.4 173 24,937 178 7.7 254Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,188.8 13 924,786 52 100.7 283 81,040 36 9.6 66 176,866 36 26.5 48

Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,460.2 26 887,715 55 141.3 224 28,185 96 3.3 221 98,513 57 12.9 175Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,667.6 119 196,885 203 75.3 310 3,751 261 1.9 264 15,861 235 9.0 227Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949.5 277 190,594 208 205.4 167 15,888 136 9.1 70 23,397 183 15.5 139Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,715.5 112 297,885 153 113.5 266 −2,011 332 −0.7 322 −16,737 359 −5.3 358Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,629.0 198 124,838 294 78.6 303 5,272 234 4.4 174 20,316 206 20.5 89Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906.7 284 411,593 113 496.5 42 17,080 131 4.3 179 54,121 102 15.9 132

Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 616.9 329 128,594 284 255.7 129 15,647 138 13.9 34 22,739 187 25.2 53Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,780.2 109 113,356 310 50.4 333 1,693 292 1.5 277 12,269 255 12.3 188Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 676.6 322 153,252 248 313.4 100 6,814 218 4.7 165 8,385 285 6.1 275Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 3,896.5 68 1,647,346 33 626.8 28 70,429 42 4.5 171 126,981 45 8.8 234Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,839.1 47 410,874 114 85.2 296 42,853 67 11.6 46 56,100 99 18.0 112Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.2 259 224,668 190 215.6 156 11,155 171 5.2 155 24,394 179 12.9 177

Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.8 358 126,163 291 334.6 89 15,398 141 13.9 33 21,557 195 24.2 59Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 6,028.0 31 5,214,666 8 926.7 18 418,484 8 8.7 73 673,269 9 16.3 128Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 1,514.1 214 161,897 235 107.4 275 −1,810 329 −1.1 330 5,066 310 3.2 304Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,576.1 206 128,941 282 83.5 297 3,107 270 2.5 254 10,434 274 9.0 226Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 591.5 335 126,464 289 217.7 150 −5,544 355 −4.2 360 −10,515 355 −7.4 361Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,842.3 46 104,768 332 22.1 356 5,549 226 5.6 140 20,764 204 26.5 49

Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 962.4 276 148,677 252 156.3 205 −4,501 350 −2.9 355 −6,129 352 −3.8 354Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,181.1 62 587,055 85 141.5 222 15,887 137 2.8 239 60,055 94 11.7 198Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,675.0 118 146,276 258 55.5 329 −5,248 354 −3.5 358 11,149 266 7.9 246Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,243.8 244 118,395 300 95.9 285 −1,649 327 −1.4 335 1,334 331 1.1 327Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,310.6 136 315,144 147 163.8 204 40,594 71 14.8 29 74,408 75 37.2 20Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.6 258 116,267 304 109.1 278 13,270 156 12.9 39 18,829 216 22.4 70

Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473.2 221 448,629 106 306.9 102 26,672 100 6.3 117 60,513 93 16.7 121Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,579.0 205 783,262 64 517.7 38 33,289 78 4.4 172 41,258 128 5.8 276Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,311.6 56 231,586 182 53.9 331 9,005 187 4.0 187 33,758 154 17.9 113York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 910.3 282 408,801 116 452.2 54 27,050 99 7.1 98 42,177 123 12.4 185Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 1,740.7 181 593,168 82 348.1 81 −9,796 357 −1.6 338 −10,658 356 −1.7 347Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,252.3 243 156,029 243 126.5 255 16,880 132 12.1 44 16,506 228 13.5 164Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,519.0 39 181,277 218 32.9 348 21,251 113 13.3 37 53,131 105 49.7 7

1Persons per square mile were calculated on the basis of land area data from the 2000 census.2Includes net internal migration and residual not shown separately.3The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15,

2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county whendata are available to do so. In many cases, the data will not be available.

4The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

Source: U.S. Census Bureau. See Tables B-1 and B-2 of the State and Metropolitan Area Data Book: 2006. For more information, see <http://www.census.gov/population>.

E–16 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-14. Metropolitan Area Rankings — Population Characteristics

Metropolitan statistical area

Black orAfricanAmeri-

canalone,2003

(percent) Rank

Asianalone,2003

(percent) Rank

Hispanicor Latino

origin,12003

(percent) Rank

Age, 2003(percent)

Educationalattainment, 2000

Under 25years Rank

65 yearsand over Rank

Bach-elor’s

degreeor

higher(percent) Rank

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 182 1.1 217 18.7 60 38.7 68 13.2 134 19.6 221Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 122 1.6 172 0.9 343 33.8 259 13.4 123 24.3 124Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.2 1 0.7 292 1.2 324 39.0 62 11.1 247 15.7 298Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 7.3 174 2.6 90 3.1 222 32.5 308 13.7 103 29.1 55Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.9 254 1.9 136 42.9 19 35.8 160 11.4 234 28.1 63Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 33 0.9 266 1.6 296 36.7 121 13.1 140 15.7 297

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 3.4 244 2.0 129 8.1 108 32.1 321 15.1 53 21.7 181Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 310 0.5 350 0.5 360 31.4 330 17.3 23 13.9 332Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 199 1.8 150 21.0 50 37.9 82 11.9 207 20.8 202Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 284 6.2 21 1.6 297 41.8 19 9.9 305 44.5 5Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.3 210 4.9 30 5.7 146 39.3 54 6.1 359 27.0 79Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.0 162 0.4 359 1.7 293 33.3 278 15.0 55 14.4 322

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.0 82 0.5 328 1.3 318 33.0 289 13.7 104 15.9 291Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.3 111 7.6 16 2.8 230 36.4 132 8.3 342 48.1 2Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.4 71 0.7 305 1.8 283 33.7 265 14.3 80 15.2 305Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.6 341 2.4 99 2.0 275 36.0 147 11.0 250 22.2 169Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.0 214 0.7 304 3.8 191 29.9 345 17.5 21 23.1 151Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 19.8 67 2.2 115 5.6 149 39.5 50 9.1 333 32.4 34

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 29.2 31 3.7 53 7.7 114 36.0 148 7.7 352 31.4 38Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.2 78 5.7 23 13.3 70 33.7 262 13.4 121 18.7 236Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.2 47 1.9 142 1.5 299 41.1 32 8.3 341 27.9 69Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 35.3 16 1.5 180 2.2 252 37.1 109 11.2 242 20.4 208Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 165 4.0 45 28.3 37 37.3 99 7.2 356 36.7 21Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 193 3.6 54 41.5 20 41.8 20 9.2 331 13.5 337

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 27.3 35 3.1 68 2.1 262 34.0 247 11.9 203 29.2 53Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 345 0.8 283 0.6 355 32.8 300 13.3 127 20.3 210Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 279 0.8 279 1.5 306 26.1 359 22.9 8 33.6 30Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 19 1.5 178 1.9 280 38.2 76 9.8 315 22.8 156Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.0 125 1.3 203 3.3 215 35.1 191 13.7 106 16.0 290Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 303 0.5 332 4.0 183 32.6 306 14.9 57 14.2 325

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 25.4 40 2.1 118 8.8 102 36.2 141 13.2 131 14.7 317Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.8 334 3.1 70 5.5 150 35.9 152 12.0 202 27.2 76Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 357 0.8 272 4.2 179 32.4 310 13.3 129 25.0 111Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 348 0.6 316 3.7 194 33.6 268 13.7 101 26.2 94Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4 246 2.7 87 2.2 256 33.2 281 15.8 39 22.0 172Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 28.1 34 0.9 258 2.1 260 33.8 260 12.7 163 22.7 158

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 360 0.5 349 0.7 353 35.0 201 13.3 128 25.5 100Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 4.4 223 2.5 97 1.3 314 39.1 57 11.2 244 25.7 98Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.0 280 2.8 78 1.5 304 39.0 60 10.9 255 29.0 57Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 186 2.8 84 3.2 220 39.7 48 9.5 323 36.2 23Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.7 338 1.6 171 9.9 94 37.8 85 9.9 309 25.5 102Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 7.5 173 5.4 26 7.0 124 32.1 315 12.5 176 37.0 17

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.0 321 3.7 52 11.8 79 34.3 238 8.0 347 52.4 1Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.0 161 1.3 194 2.9 229 36.7 124 10.9 253 22.3 168Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 2.9 256 4.5 37 4.6 172 35.8 161 10.8 263 25.3 103Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 10.7 130 3.8 48 12.9 73 32.8 297 13.0 143 39.9 10Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 0.7 337 0.5 334 85.7 3 45.1 8 10.9 254 13.4 341Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.5 45 0.5 331 2.7 236 34.6 216 13.6 109 19.7 219

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 12.6 107 1.6 166 3.4 213 32.2 311 15.6 43 23.2 149Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.7 73 1.2 210 8.8 103 34.5 219 13.9 93 19.2 227Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 0.8 332 1.8 147 1.0 339 34.4 231 10.2 289 34.8 24Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 183 0.6 317 0.9 346 33.1 284 15.2 52 17.3 270Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 7.6 170 1.0 249 12.2 75 27.9 357 23.8 7 21.1 196Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 291 1.6 173 15.6 68 32.2 313 15.3 50 18.5 244

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 325 0.5 347 4.9 165 35.7 164 12.7 167 20.0 215Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 268 1.4 190 1.4 312 34.4 229 13.0 145 24.9 112Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 137 6.5 18 3.2 218 39.8 45 10.7 269 34.5 25Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.8 217 0.8 278 0.5 358 30.4 340 15.2 51 17.9 255Charleston-North Charleston, SC . . . . . . . . . . . . . . . . . . . 31.6 28 1.6 174 2.4 247 36.3 135 10.7 271 25.0 108Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 23.2 48 2.4 100 6.5 134 35.0 199 9.6 319 28.0 65

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 103 2.8 85 2.5 244 35.2 184 12.4 179 38.3 15Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 101 1.1 218 1.6 295 32.8 301 13.6 114 19.4 224Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1 250 1.0 230 11.6 81 35.1 195 11.7 215 23.4 143Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 18.5 76 4.9 31 17.9 63 36.0 151 10.7 267 29.0 56Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 299 3.8 49 11.3 84 35.6 168 15.0 56 21.8 179Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 11.5 119 1.5 175 1.2 323 35.5 170 11.6 217 24.8 116

Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.2 62 1.7 157 3.9 186 39.6 49 9.6 321 16.2 287Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.5 243 0.7 303 2.1 265 33.4 275 12.7 160 14.5 319Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 19.6 68 1.7 153 3.5 201 33.1 285 14.4 75 23.9 137Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 361 0.5 327 2.6 241 35.5 176 12.9 153 19.1 230College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 12.2 113 3.4 61 18.7 61 45.4 7 8.5 340 31.5 37Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 180 2.8 81 11.6 80 37.9 83 8.8 338 31.8 36

Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 155 3.2 66 1.8 282 39.1 58 9.2 330 39.9 9Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.2 21 1.4 185 2.6 237 35.6 165 10.6 273 26.6 86Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 10 1.4 187 3.5 204 39.0 63 11.2 243 18.3 248Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 289 2.3 108 2.7 233 34.3 235 12.7 164 22.0 173Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 102 2.9 74 2.1 269 35.4 181 10.0 298 28.3 62Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.5 242 1.2 207 55.1 7 38.7 67 11.7 214 17.7 259

See footnotes at end of table.

E–17State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 18: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Metropolitan statistical area

Black orAfricanAmeri-

canalone,2003

(percent) Rank

Asianalone,2003

(percent) Rank

Hispanicor Latino

origin,12003

(percent) Rank

Age, 2003(percent)

Educationalattainment, 2000

Under 25years Rank

65 yearsand over Rank

Bach-elor’s

degreeor

higher(percent) Rank

Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 328 5.2 27 5.1 162 37.3 98 10.6 274 47.4 4Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.7 219 0.5 347 0.7 351 31.8 325 17.1 24 13.4 338Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 14.0 100 4.3 39 24.3 44 38.2 78 7.8 350 28.5 60Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 262 0.8 271 20.0 54 38.2 77 9.8 313 11.1 358Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.0 124 0.6 320 3.3 214 33.5 270 16.1 33 12.5 348Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.0 25 0.4 358 1.5 303 31.5 329 16.6 29 11.3 357

Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 6.1 197 1.4 193 6.1 140 33.9 255 14.0 88 19.9 216Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 96 1.6 168 1.2 327 34.5 221 13.5 115 22.8 154Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 117 0.4 351 3.4 210 33.5 271 12.6 169 15.8 295Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 97 0.8 282 1.1 331 34.1 242 15.7 40 16.9 273Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 10.0 135 1.2 216 7.9 111 29.3 353 21.3 10 17.6 261Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 204 3.4 59 20.3 53 34.8 207 9.0 335 34.2 27

Des Moines, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 234 2.7 88 4.5 174 34.7 212 11.3 240 27.9 67Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 23.0 49 2.9 75 3.1 223 34.3 234 11.8 211 23.2 148Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.5 46 0.5 338 1.5 300 33.5 274 14.8 60 15.9 292Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.7 57 1.8 143 3.5 207 37.4 96 12.1 197 18.6 239Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 317 0.7 289 1.2 325 35.0 198 14.8 58 21.3 188Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 327 0.7 300 0.8 349 33.3 277 15.4 47 20.5 207

Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.7 32 3.6 58 8.0 110 34.7 211 10.2 288 38.8 14Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.4 351 2.2 116 0.8 348 36.5 129 13.1 142 22.1 170El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 225 2.1 120 74.7 5 41.7 23 10.3 284 10.3 361Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 120 1.9 138 2.9 228 37.2 104 10.9 258 14.8 315Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 212 1.1 225 10.7 89 38.8 66 10.8 260 15.5 301Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 187 1.0 232 2.2 255 32.8 296 15.5 46 18.6 240

El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 261 1.0 243 81.3 4 42.9 12 10.1 295 16.6 279Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 194 0.7 294 2.2 257 35.5 177 14.2 81 20.9 201Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 330 2.4 103 5.1 163 33.1 288 13.5 117 25.5 101Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 207 0.7 288 1.1 335 34.4 226 13.8 94 17.4 265Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 185 2.0 125 4.7 169 41.7 25 5.0 360 27.0 78Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 314 1.4 189 1.8 281 37.5 92 10.6 275 29.4 51

Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.6 343 0.3 361 15.4 69 42.7 14 9.3 328 13.5 336Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 14 2.1 124 5.6 148 41.7 22 8.3 343 18.3 250Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 1.5 298 1.5 179 9.8 96 37.3 101 11.5 222 20.9 200Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.0 319 0.9 257 11.1 85 41.7 21 7.4 354 29.9 45Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.3 60 0.9 263 2.4 250 36.0 146 11.8 210 16.2 289Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 9 0.6 309 1.1 333 35.2 186 12.2 189 16.9 274

Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 12.5 109 0.4 360 1.1 330 32.1 316 15.5 44 16.8 276Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.0 318 0.9 264 2.5 246 34.2 241 14.3 79 16.9 275Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 0.8 333 1.8 146 8.9 101 35.7 162 9.6 320 39.5 12Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.7 239 2.0 127 5.3 155 35.8 155 13.0 147 13.2 345Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 9.4 143 2.8 79 4.3 178 34.8 206 12.8 155 24.2 125Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.8 136 1.5 181 4.2 180 37.2 103 11.6 219 21.3 189

Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.7 205 8.6 14 46.0 15 42.3 15 9.7 316 17.5 263Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.8 94 0.4 351 2.0 273 32.5 309 15.9 38 13.4 340Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.9 66 3.6 55 5.7 147 39.2 55 10.1 296 36.7 20Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 178 1.4 188 22.6 47 38.3 74 9.2 329 18.7 233Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.0 282 0.5 342 1.9 279 31.4 332 14.7 67 18.9 231Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 22 1.0 227 5.5 151 36.3 137 12.0 198 15.0 309

Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 307 1.0 237 2.8 232 38.3 73 12.2 192 24.2 126Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 346 0.6 324 10.3 92 34.4 230 15.3 49 22.0 177Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 7.9 164 1.7 156 6.9 128 37.7 86 10.5 279 22.7 159Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 301 0.9 262 2.6 242 34.4 228 14.6 69 21.5 185Greeley, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.8 335 1.0 247 29.7 34 40.9 33 8.2 344 21.6 183Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 313 2.0 129 3.7 193 35.3 183 11.5 227 20.1 212

Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 23.8 43 2.2 117 5.2 159 33.8 258 12.4 180 23.4 144Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.1 17 1.0 246 4.5 175 38.6 70 9.9 308 23.9 136Greenville, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.5 81 1.4 192 4.0 184 34.5 217 12.0 201 23.1 153Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.5 69 2.4 102 2.3 251 36.1 144 12.0 199 17.9 257Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 6.5 189 0.7 293 1.4 310 32.6 304 13.1 141 14.5 319Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 151 3.2 66 45.4 17 40.3 41 7.3 355 10.4 360

Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 138 2.1 122 2.7 233 32.0 322 14.4 76 24.3 122Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4 245 1.4 184 6.4 138 40.7 35 12.1 193 21.4 186Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 10.7 129 2.8 83 9.8 95 32.5 307 13.7 99 30.5 41Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 37 0.8 276 1.3 321 39.2 56 10.8 261 22.6 160Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 6.8 181 2.5 93 5.0 164 32.9 294 13.1 136 13.6 335Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 38.6 12 1.9 135 6.4 137 48.8 3 4.8 361 13.2 344

Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 1.2 309 2.4 104 7.4 117 39.7 47 10.4 282 26.0 96Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1 249 46.9 1 6.8 131 33.1 286 13.7 100 27.9 70Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 158 0.6 322 2.7 235 29.7 348 20.7 11 18.0 253Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 15.7 88 0.8 270 1.7 290 38.0 81 10.8 264 12.3 349Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 16.8 83 5.4 25 31.1 33 38.8 65 7.8 351 26.4 90Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 2.5 269 0.5 332 0.7 354 31.7 326 15.4 48 14.9 313

Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.5 53 1.9 137 2.2 259 34.5 222 11.5 220 30.9 40Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.6 342 0.8 277 8.5 106 42.1 18 10.2 291 24.2 127Indianapolis, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.4 98 1.6 167 3.3 216 36.0 150 10.5 278 26.5 88Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 258 4.6 36 2.6 238 37.3 100 9.1 334 42.0 8Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 230 9.0 12 3.6 196 41.3 29 9.4 325 47.5 3Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.9 163 0.6 321 2.4 249 34.0 246 12.6 168 16.3 286

See footnotes at end of table.

E–18 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 19: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Metropolitan statistical area

Black orAfricanAmeri-

canalone,2003

(percent) Rank

Asianalone,2003

(percent) Rank

Hispanicor Latino

origin,12003

(percent) Rank

Age, 2003(percent)

Educationalattainment, 2000

Under 25years Rank

65 yearsand over Rank

Bach-elor’s

degreeor

higher(percent) Rank

Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 4 0.8 275 1.1 334 37.6 89 10.7 269 26.2 93Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.9 30 0.7 299 1.8 284 36.6 125 12.3 185 20.1 213Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.7 50 2.6 89 4.1 181 35.6 167 11.0 252 22.6 161Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.7 74 2.2 112 4.8 167 50.2 2 7.2 357 14.8 314Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.6 220 0.9 251 4.5 176 35.2 187 12.8 156 16.7 277Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 175 0.7 297 1.3 315 34.6 213 11.5 224 21.2 192

Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 259 0.6 318 1.5 308 30.3 342 14.7 66 18.5 245Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.0 253 0.4 356 1.0 338 29.9 346 19.3 14 13.7 333Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.8 148 0.5 329 2.2 258 36.2 138 12.3 187 17.3 269Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 304 0.7 305 3.7 195 36.2 143 13.5 119 16.4 282Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 150 1.7 151 4.1 182 37.1 111 11.6 218 26.9 83Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.6 90 0.8 279 5.9 142 37.0 116 12.9 151 15.0 310

Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 106 2.0 128 5.7 144 35.1 194 11.3 238 28.0 66Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . . . . . . . 1.6 296 2.2 114 23.1 46 39.9 44 9.6 322 23.3 146Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 19.4 72 2.5 98 17.1 66 42.2 17 8.7 339 18.0 254Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 1.9 283 0.4 357 0.8 350 29.4 352 16.2 31 15.5 302Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 191 1.5 183 7.0 126 31.7 328 13.2 133 25.0 110Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.3 192 1.2 206 1.4 313 31.9 323 13.6 108 24.6 118

Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 203 1.0 240 1.7 286 34.3 237 13.7 102 17.1 272La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 324 3.0 72 0.9 347 36.5 131 13.1 138 24.6 121Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 275 4.5 38 5.2 160 41.6 26 9.8 314 29.2 53Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.0 39 1.3 205 1.7 291 38.1 80 9.9 309 22.0 174Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.7 44 0.7 290 1.5 301 37.2 106 12.1 195 16.4 281Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 95 1.1 219 11.4 83 34.0 250 17.8 20 14.9 311

Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.3 247 1.6 163 6.0 141 35.6 166 14.2 83 20.5 206Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 8.6 153 3.1 71 4.9 166 37.5 93 10.3 285 28.4 61Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 350 0.4 353 95.1 1 48.4 5 7.6 353 13.9 329Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 274 1.0 244 64.9 6 41.7 24 11.3 239 22.3 165Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 9.1 144 5.5 24 24.4 43 34.9 203 10.8 266 17.3 268Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.1 228 3.6 56 3.5 200 41.4 28 8.1 345 42.7 6

Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.8 56 2.3 107 7.3 120 41.2 31 10.2 292 19.1 228Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.5 300 0.9 254 5.2 157 31.7 327 16.5 30 15.4 303Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 359 0.7 302 1.9 278 32.6 303 17.1 25 18.6 241Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 326 0.7 307 1.1 332 32.6 305 14.2 84 14.4 323Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 10.6 132 2.1 121 3.4 209 34.1 243 10.3 286 29.8 47Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 114 0.8 284 1.5 309 36.1 145 13.9 89 13.4 339

Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.8 260 3.2 64 3.5 202 37.3 102 10.5 276 32.0 35Little Rock-North Little Rock, AR. . . . . . . . . . . . . . . . . . . . 22.3 51 1.1 223 2.1 263 35.1 190 11.5 222 24.2 131Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 349 1.9 139 7.3 122 48.6 4 7.8 349 29.6 48Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.8 79 0.6 323 9.2 100 36.3 134 13.8 97 16.2 288Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.6 339 1.3 201 5.2 156 34.9 205 13.5 118 13.3 342Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 8.1 159 13.2 5 43.0 18 36.9 118 10.0 302 26.3 91

Louisville, KY-IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 104 1.2 208 2.0 272 33.7 263 12.2 191 21.2 193Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 168 1.3 204 29.6 35 39.9 43 11.2 241 24.0 135Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.3 77 0.8 285 1.0 337 33.5 273 14.8 59 18.7 234Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 7 1.0 239 1.3 316 36.6 125 11.9 206 18.7 237Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 231 1.5 176 47.2 14 39.7 46 10.8 265 12.0 352Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.7 240 3.7 51 3.4 212 34.5 225 10.0 304 36.9 18

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 295 2.5 94 3.6 198 33.6 269 10.6 272 30.1 44Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.5 142 0.6 318 0.9 342 33.1 283 14.8 63 12.6 347McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 0.7 336 0.7 298 89.2 2 47.2 6 9.4 326 12.9 346Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.5 347 1.0 234 7.4 119 32.8 302 15.9 35 22.3 167Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 5 1.6 170 2.6 239 37.4 97 9.9 312 22.0 176Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.1 229 6.5 17 49.5 13 44.5 10 9.0 336 11.0 359

Miami-Fort Lauderdale-Miami Beach, FL. . . . . . . . . . . . . 20.9 55 1.9 133 36.8 25 32.1 318 15.9 37 24.1 132Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 10.1 134 0.5 346 3.5 203 33.7 261 13.5 120 14.0 328Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 179 1.0 242 31.8 32 39.5 51 11.9 205 24.8 115Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 16.4 84 2.5 95 6.9 129 35.2 188 12.4 181 27.0 80Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 5.9 201 4.7 33 3.8 189 35.1 192 9.6 318 33.3 31Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.4 355 1.2 211 1.7 292 34.8 208 10.1 294 32.8 32

Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 18 1.7 160 1.2 326 37.0 117 12.1 194 18.6 238Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.0 252 4.7 34 36.0 27 40.7 38 10.0 303 14.1 327Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 23 0.7 295 1.5 305 38.3 75 12.3 183 21.2 194Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.0 281 0.6 312 2.2 253 35.1 196 11.4 235 14.3 324Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 8 0.9 254 1.3 320 36.7 122 11.5 221 24.2 128Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.7 265 2.2 113 0.9 345 35.7 163 11.7 216 26.0 95

Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.9 257 0.5 339 4.4 177 32.1 319 13.6 112 12.2 350Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 0.5 344 1.7 155 12.5 74 35.0 200 14.3 78 20.8 204Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 184 0.8 286 1.1 329 37.6 87 13.6 113 20.4 209Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 14.2 99 0.5 345 3.8 192 36.2 139 12.7 165 13.9 330Myrtle Beach-Conway-North Myrtle Beach, SC . . . . . . . . . . 15.9 86 0.9 261 3.1 224 30.4 339 15.6 41 18.7 235Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 287 4.2 42 26.6 40 32.9 293 14.4 74 26.4 89

Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 198 0.8 287 23.3 45 28.5 356 23.8 6 27.9 68Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . . . 15.1 93 1.9 140 3.8 190 34.3 239 10.3 287 25.6 99New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 12.4 110 2.9 75 11.1 86 33.0 290 13.9 91 27.6 73New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 37.9 13 2.5 95 4.7 170 35.9 153 11.5 228 22.8 157New York-Northern New Jersey-Long Island, NY-NJ-PA . . 20.2 63 8.6 13 20.9 51 32.8 295 12.7 166 30.3 43Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 15.9 87 1.4 191 3.4 211 34.5 218 14.5 73 19.6 220

See footnotes at end of table.

E–19State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 20: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Metropolitan statistical area

Black orAfricanAmeri-

canalone,2003

(percent) Rank

Asianalone,2003

(percent) Rank

Hispanicor Latino

origin,12003

(percent) Rank

Age, 2003(percent)

Educationalattainment, 2000

Under 25years Rank

65 yearsand over Rank

Bach-elor’s

degreeor

higher(percent) Rank

Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 6.1 196 2.6 91 5.5 152 32.8 299 13.0 144 26.2 92Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.0 116 0.9 267 7.0 127 29.4 349 23.9 4 13.7 334Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.0 215 0.6 311 3.6 199 29.3 354 20.3 12 22.0 175Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.7 218 0.6 310 45.7 16 41.2 30 11.1 248 12.0 353Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 302 1.6 165 9.3 99 45.0 9 8.8 337 24.6 119Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 126 2.9 73 7.4 118 36.2 142 11.4 236 24.2 130

Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.6 267 4.7 32 4.8 168 33.9 254 11.5 226 29.8 46Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 7.8 166 1.8 144 5.8 143 36.6 127 10.9 259 27.1 77Orlando-Kissimee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 89 3.2 65 19.0 58 34.5 220 12.3 186 24.8 117Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 312 2.1 123 2.1 268 34.3 236 12.5 172 22.8 155Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.9 237 0.4 355 1.0 336 34.9 204 13.7 105 15.6 299Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 2.2 276 5.8 22 35.3 28 37.0 113 10.5 280 26.9 81

Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 9.0 145 1.7 152 5.2 158 29.8 347 20.0 13 23.6 142Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 11.1 123 1.9 141 2.1 261 33.1 287 14.0 86 17.7 260Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 1.0 320 0.6 326 0.5 359 31.4 331 15.5 45 14.7 316Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.1 64 1.7 159 2.1 264 36.9 119 10.9 256 15.5 300Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 17.6 80 2.2 111 2.1 266 35.8 156 13.2 132 21.5 184Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.8 149 1.3 197 1.8 284 34.0 247 14.7 65 20.8 205

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 20.6 59 3.8 47 5.4 153 34.0 251 13.1 137 27.7 72Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 4.0 232 2.4 101 28.1 38 37.5 91 11.4 229 25.1 107Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 3 0.6 314 1.1 328 36.4 133 12.8 157 14.1 326Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.0 160 1.3 195 0.7 352 30.1 343 17.3 22 23.4 145Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 273 1.2 214 2.0 270 30.7 336 17.8 19 26.0 97Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.6 340 1.0 234 6.8 132 40.5 40 10.5 277 24.0 134

Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 0.9 323 1.3 199 1.0 340 31.2 334 13.4 124 29.2 52Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 2.9 255 5.2 28 8.7 104 34.0 245 10.2 290 28.8 58Port St. Lucie-Fort Pierce, FL. . . . . . . . . . . . . . . . . . . . . . 12.2 112 0.9 251 9.4 98 28.9 355 23.9 5 19.7 218Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 10.2 133 2.6 92 11.5 82 35.8 159 10.9 256 24.9 113Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.4 352 0.6 325 10.5 91 29.4 351 21.9 9 21.1 195Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 5.1 213 2.3 106 7.8 113 33.2 282 13.9 92 23.7 139

Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.4 353 1.2 209 7.5 116 50.8 1 6.5 358 31.0 39Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.3 272 0.7 291 39.3 23 35.6 169 14.8 61 18.3 247Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.9 216 1.0 230 3.8 188 21.9 361 34.1 1 17.6 262Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 127 0.8 274 8.6 105 35.5 175 12.2 190 20.3 211Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.1 65 3.3 63 7.0 125 35.5 179 7.9 348 37.6 16Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 306 0.9 253 2.5 245 37.1 108 12.0 199 23.3 147

Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 222 1.2 212 10.6 90 33.6 267 14.5 72 18.5 242Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 329 2.0 126 6.6 133 34.0 252 15.0 54 16.6 280Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 286 4.2 43 18.4 62 34.5 224 10.8 262 23.7 139Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.8 29 2.1 119 2.6 240 34.2 240 11.4 233 27.6 74Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 8.2 157 4.6 35 40.9 22 40.7 36 10.0 297 16.3 285Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 108 1.2 215 1.4 311 30.9 335 15.6 42 21.0 197

Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.4 270 3.9 46 2.4 248 34.8 209 11.7 213 30.5 42Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 118 2.2 110 5.2 161 34.1 244 13.0 149 27.7 71Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.6 140 1.8 145 9.5 97 35.4 180 12.4 182 18.8 232Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 6 0.5 340 3.5 206 35.1 189 12.5 175 13.9 331Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 105 1.0 232 6.5 136 36.0 149 13.6 107 15.8 296Sacramento-Arden-Arcade-Roseville, CA . . . . . . . . . . . . . . 7.5 172 10.0 8 16.9 67 36.2 140 11.2 245 26.5 87

Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 19.4 70 0.9 256 6.9 130 35.5 174 13.5 116 15.9 293St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 308 1.6 162 1.5 307 39.0 59 11.1 249 21.0 198St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 358 0.5 335 5.7 145 42.7 13 16.9 28 21.0 198St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.6 221 0.5 344 2.0 271 34.0 249 14.5 71 16.4 283St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.1 202 1.7 7 1.7 41 34.4 227 11.8 212 24.8 114Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.0 322 1.8 148 17.8 64 37.1 110 12.5 174 20.8 203

Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 235 6.3 20 49.7 11 39.4 52 9.9 311 22.5 163Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.9 36 1.6 169 2.0 274 35.9 154 13.0 148 19.5 223Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.3 305 2.8 82 13.0 71 42.3 16 8.0 346 27.6 75San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.9 238 0.9 265 32.9 30 38.4 72 13.8 96 19.5 222San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 195 1.5 177 52.1 10 38.7 69 10.7 268 22.1 171San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 5.9 200 9.4 11 28.7 36 36.3 136 11.0 251 29.5 49

Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 156 0.5 341 2.2 254 32.1 320 15.9 36 16.6 278San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 9.5 141 20.9 3 18.9 59 30.4 338 11.9 209 38.8 13San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 2.8 263 27.8 2 25.4 42 33.2 280 10.0 300 39.8 11San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 2.1 278 2.8 80 17.3 65 33.2 279 14.3 77 26.7 85Santa Barbara-Santa Maria, CA . . . . . . . . . . . . . . . . . . . . 2.4 271 4.2 41 36.1 26 37.2 107 12.8 159 29.4 50Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 1.1 316 3.7 50 27.7 39 34.6 214 9.9 307 34.2 26

Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.9 331 1.1 222 49.5 12 31.8 324 11.4 230 36.9 19Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 1.6 297 3.6 57 19.8 57 33.3 276 12.4 178 28.5 59Sarasota-Bradenton-Venice, FL . . . . . . . . . . . . . . . . . . . . 6.5 188 1.0 229 7.9 112 25.7 360 26.9 3 24.6 120Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 20 1.7 161 2.0 277 36.8 120 11.4 231 23.2 150Scranton-Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . . 1.7 294 0.7 296 1.5 302 30.0 344 18.7 15 17.5 264Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 5.5 209 9.5 10 6.2 139 33.0 292 10.1 293 32.7 33

Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.1 315 4.0 44 3.9 185 33.6 266 13.8 95 17.9 256Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 206 0.6 315 8.0 109 35.5 178 14.7 68 17.2 271Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 38.8 11 1.0 245 2.1 267 36.7 123 13.0 150 19.2 226Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.8 288 2.8 86 10.9 88 37.0 112 12.8 158 18.5 243Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 292 1.1 224 2.0 276 36.5 130 11.4 232 25.1 106South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 10.6 131 1.5 182 4.7 171 37.0 115 13.4 122 21.7 182

See footnotes at end of table.

E–20 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-14. Metropolitan Area Rankings — Population Characteristics—Con.

Metropolitan statistical area

Black orAfricanAmeri-

canalone,2003

(percent) Rank

Asianalone,2003

(percent) Rank

Hispanicor Latino

origin,12003

(percent) Rank

Age, 2003(percent)

Educationalattainment, 2000

Under 25years Rank

65 yearsand over Rank

Bach-elor’s

degreeor

higher(percent) Rank

Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 54 1.7 154 3.4 208 33.9 257 12.6 171 18.2 252Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 293 1.9 132 3.1 225 35.5 173 12.3 184 25.0 109Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.6 139 1.3 196 1.3 322 33.0 291 13.3 125 28.1 64Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 177 1.9 134 12.1 76 35.1 193 13.6 111 25.2 105Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.7 290 0.9 260 1.7 288 35.2 185 13.2 130 21.3 190Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.8 147 0.6 313 1.3 317 34.3 233 14.8 62 14.9 312

State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.7 264 4.3 40 1.5 298 40.1 42 10.4 283 36.3 22Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.6 171 13.0 6 33.4 29 40.8 34 9.9 306 14.5 321Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 2 1.0 227 1.6 294 38.6 71 11.9 208 15.8 294Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.7 169 2.0 131 2.6 243 34.9 202 13.1 139 25.2 104Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 24 1.6 164 3.9 186 37.4 95 9.4 327 34.1 28Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 11.2 121 2.2 109 12.0 78 30.5 337 17.9 17 21.7 180

Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 226 1.0 238 0.9 341 35.5 172 14.1 85 17.4 267Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 24.0 42 0.5 336 3.6 197 35.1 197 13.3 125 15.0 308Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 115 1.3 202 4.6 173 35.8 158 12.7 162 21.2 191Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 176 0.9 259 6.5 135 34.4 232 13.9 90 23.6 141Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.6 58 6.3 19 10.9 87 34.6 215 12.3 188 34.0 29Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 248 2.3 105 31.9 31 35.3 182 14.2 82 26.7 84

Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 146 1.4 186 5.3 154 35.8 157 12.1 196 22.5 164Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.4 15 0.9 268 1.3 319 37.6 88 11.5 225 21.9 178Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.7 75 0.8 279 13.0 72 37.0 114 14.0 87 22.5 162Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 211 1.3 200 3.3 217 32.2 312 16.1 34 17.7 258Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.5 26 1.0 236 3.0 226 39.0 61 10.0 299 17.4 266Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.4 91 13.5 4 19.9 55 37.5 90 10.0 301 21.4 187

Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 154 0.9 269 7.6 115 26.8 358 27.8 2 23.1 152Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.6 208 1.3 198 40.9 21 38.2 79 12.8 154 15.2 306Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 21.6 52 1.1 226 21.0 49 34.5 223 12.7 161 11.7 355Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 32.0 27 2.9 77 3.1 221 37.5 94 10.5 281 23.7 138Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 285 3.4 60 53.8 9 44.2 11 9.4 324 11.5 356Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 92 1.2 213 19.8 56 40.7 37 12.5 173 19.1 229

Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 41 1.8 149 2.9 227 37.9 84 9.7 317 19.8 217Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 26.4 38 7.7 15 10.1 93 33.9 256 9.1 332 42.5 7Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 190 1.1 220 1.7 289 35.5 171 14.7 64 22.3 166Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.3 356 5.1 29 0.9 344 34.7 210 13.2 135 18.3 249Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 4.0 233 0.4 354 0.6 357 29.4 350 18.6 16 12.1 351Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.4 354 0.7 301 20.4 52 36.6 128 13.8 97 20.0 214

Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.1 251 0.5 337 0.5 361 30.3 341 17.9 18 14.6 318Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 167 3.1 69 8.1 107 37.2 105 11.9 204 24.3 123Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 152 1.7 157 12.1 77 38.8 64 13.0 146 19.2 225Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.2 227 0.5 342 0.6 356 32.8 298 16.2 32 15.1 307Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.4 85 0.6 308 2.8 231 31.3 333 14.5 70 24.2 129Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 224 0.8 273 3.5 205 33.7 264 12.6 170 18.3 251

Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.3 61 1.0 250 7.3 123 33.5 272 12.9 152 24.0 133Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.6 241 3.3 62 7.3 121 33.9 253 12.5 176 26.9 82Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 311 1.0 241 38.3 24 41.6 27 11.1 246 15.3 304York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 236 1.0 248 3.2 219 32.2 314 13.6 110 18.4 246Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 10.8 128 0.5 330 1.7 287 32.1 317 17.0 27 16.3 284Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.6 266 10.0 9 22.3 48 39.3 53 11.3 237 13.2 343Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.2 277 1.1 221 54.4 8 40.5 39 17.0 26 11.8 354

1Persons of Hispanic origin may be any race.2The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15,

2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county whendata are available to do so. In many cases, the data will not be available.

3The portion of Sullivan City in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis MSA.

Source: U.S. Census Bureau. See Tables B-3 and B-4 of the State and Metropolitan Area Data Book: 2006. For more information, see <http://www.census.gov/popest/datasets.html>.

E–21State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-15. Metropolitan Area Rankings — Social and Housing Indicators

Metropolitan statistical area

Birth rate,2002

Physicians,20031

Medicareprogram

enrollment,20032

Social securityprogram

beneficiaries,December

2004

Housing units,percentchange

2000–20043

Housing unitsper square

mile ofland area,

2004

Home-ownershiprate, 2000(percent)

Rate per1,000

persons4 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank Percent Rank Number Rank Percent Rank

Abilene, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 122 198 276 15,168 136 17,455 141 2.5 311 24.3 324 58.3 273Akron, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 275 271 153 14,841 156 16,746 177 3.8 254 333.8 22 66.4 70Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 137 210 259 12,816 239 15,402 224 5.3 200 34.7 297 55.6 315Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . . . 11.2 321 353 69 15,657 114 17,793 129 2.5 308 132.4 99 58.5 269Albuquerque, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 97 385 45 12,782 242 14,939 239 8.5 92 35.7 294 62.4 189Alexandria, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.4 117 308 103 16,149 89 18,211 109 3.7 264 31.9 305 62.5 186

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . . . 11.7 297 261 172 16,793 65 19,306 70 4.8 214 220.7 40 66.7 63Altoona, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 302 267 159 19,634 22 20,005 58 1.3 349 106.0 133 68.2 37Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.6 60 293 124 12,772 243 14,376 260 4.0 247 26.0 322 61.3 210Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 303 216 246 11,239 306 12,291 326 9.9 61 58.8 229 55.9 310Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 86 292 127 7,176 359 8,959 358 5.8 175 5.1 359 57.3 287Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 269 153 338 17,408 55 20,391 48 2.6 302 129.2 103 69.1 24

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 246 206 266 16,511 75 20,772 44 7.0 138 109.1 130 68.4 36Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 242 1,023 5 9,691 338 11,303 337 8.4 95 199.9 49 57.1 292Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 204 196 278 19,395 24 22,342 24 3.0 285 86.8 170 64.0 129Appleton, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.9 149 191 290 11,927 278 14,138 272 10.1 56 89.8 163 71.2 10Asheville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.7 295 389 40 19,970 20 22,877 20 7.9 107 93.1 155 64.9 109Athens-Clarke County, GA. . . . . . . . . . . . . . . . . . . . . . . . 13.1 200 236 208 10,885 323 12,985 308 11.0 41 72.7 197 53.1 338

Atlanta-Sandy Springs-Marietta, GA . . . . . . . . . . . . . . . . . 16.3 47 259 176 8,786 350 10,618 344 16.5 8 228.8 35 63.1 155Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 154 244 197 14,973 151 17,108 159 6.2 159 216.0 42 55.3 321Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.0 277 161 328 9,657 339 12,657 319 10.4 47 91.3 156 56.4 301Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . . . 14.2 127 204 269 13,173 228 16,205 201 6.0 171 66.1 211 62.9 161Austin-Round Rock, TX. . . . . . . . . . . . . . . . . . . . . . . . . . 16.7 36 233 213 7,890 357 9,343 357 15.7 11 135.9 95 55.4 316Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.6 27 157 329 11,029 317 13,187 299 6.8 143 30.4 310 56.0 306

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 215 475 16 13,110 232 14,884 242 3.3 274 414.9 17 62.2 195Bangor, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.2 342 330 82 16,964 63 19,592 64 2.8 293 20.2 332 60.6 226Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 359 368 61 25,149 6 27,632 5 3.7 257 385.8 18 50.2 351Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 123 227 226 11,178 308 13,599 288 6.2 161 74.5 195 63.0 159Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 178 184 303 16,539 72 19,615 63 2.6 304 85.0 175 67.3 54Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 292 157 329 16,993 62 20,469 46 2.6 305 107.2 132 75.1 3

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . . . 13.3 180 185 299 15,193 134 18,061 114 2.9 286 74.9 194 64.1 127Bellingham, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 316 280 142 13,447 217 15,761 214 9.1 74 38.0 288 55.3 318Bend, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 287 316 95 14,630 166 18,025 117 18.8 6 21.5 328 60.4 230Billings, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 197 375 53 15,176 135 17,094 161 4.0 248 13.3 348 65.0 104Binghamton, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.6 335 272 150 18,465 38 21,311 37 0.3 361 90.2 159 61.6 205Birmingham-Hoover, AL . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 161 390 39 15,248 131 18,192 110 5.2 203 90.2 160 65.3 93

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 271 351 71 15,009 149 16,682 183 7.3 128 11.9 352 66.4 68Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . . . 9.6 354 192 287 14,105 192 16,264 199 4.6 231 61.0 223 57.4 285Bloomington, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.8 329 222 236 12,442 252 14,831 245 6.3 156 61.0 224 56.4 300Bloomington-Normal, IL. . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 166 213 252 10,905 321 12,301 325 9.2 73 55.3 241 62.9 167Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.5 40 234 211 11,102 312 13,182 300 15.5 13 17.8 340 67.5 49Boston-Cambridge-Quincy, MA-NH . . . . . . . . . . . . . . . . 12.9 217 546 11 13,960 197 15,211 232 1.9 328 508.9 8 58.4 272

Boulder, CO6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 185 359 64 11,049 315 9,944 354 7.6 116 161.5 66 61.9 201Bowling Green, KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 175 255 183 13,832 202 16,368 193 8.0 104 56.6 234 59.9 238Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . . . 12.4 260 258 177 12,211 266 13,921 277 5.0 210 245.6 29 62.9 165Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . . . 13.3 179 402 34 13,876 201 15,234 231 1.7 335 551.6 6 66.1 76Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . . . 24.5 4 152 339 10,516 330 12,235 328 11.9 34 147.9 80 55.0 323Brunswick, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 198 263 168 15,690 109 19,475 67 7.8 113 37.2 291 58.1 280

Buffalo-Niagara Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . 11.3 313 351 71 17,889 44 20,268 52 1.3 345 330.7 23 60.6 228Burlington, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 177 181 308 16,494 76 19,071 78 8.0 105 139.3 91 65.2 100Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . . . 11.2 318 649 9 11,781 290 13,790 285 4.5 233 68.6 205 63.0 157Canton-Massillon, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 293 228 224 17,316 56 18,850 89 2.5 309 179.6 58 68.4 35Cape Coral-Fort Myers, FL . . . . . . . . . . . . . . . . . . . . . . . 11.3 308 279 143 21,546 12 24,734 11 19.3 5 364.4 20 58.8 261Carson City, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 188 291 129 19,154 28 18,872 87 5.3 202 156.3 70 59.8 241

Casper, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 187 264 166 14,551 173 16,743 179 1.8 331 5.7 358 62.8 174Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 167 191 290 14,480 177 16,801 174 8.1 101 53.3 250 70.0 13Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 282 294 121 11,874 284 13,035 306 5.3 197 48.3 266 55.4 317Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.4 255 324 90 19,075 31 22,318 25 1.6 339 56.9 232 67.5 51Charleston-North Charleston, SC . . . . . . . . . . . . . . . . . . . 14.0 139 463 17 12,317 264 14,852 244 10.1 53 99.0 144 59.4 249Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . . . 15.6 64 247 192 11,419 302 13,529 292 16.2 10 204.9 46 63.1 154

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 272 1,057 4 13,926 198 15,680 216 10.1 55 49.3 263 58.8 259Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 250 290 133 15,794 102 18,661 94 5.7 180 103.9 138 64.7 113Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 113 275 148 13,625 210 14,937 240 4.9 211 13.4 347 64.4 118Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . . . 15.1 79 334 80 11,681 292 13,128 302 4.8 215 503.0 10 61.8 203Chico, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 328 239 202 17,599 53 20,088 56 5.6 189 55.1 242 56.5 298Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . . . 14.2 128 307 106 13,540 213 15,500 220 5.6 187 200.1 48 62.9 163

Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.8 25 154 337 11,160 309 13,793 284 8.9 79 46.4 271 57.1 290Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 205 156 333 15,721 108 19,410 68 6.0 170 61.3 221 65.0 106Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . . . 12.5 254 432 27 15,791 103 17,394 146 2.2 322 464.6 13 63.7 140Coeur d’Alene, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 225 219 240 15,095 144 18,369 104 12.5 30 42.1 280 66.0 78College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . . . 14.7 102 227 226 9,462 344 10,849 341 9.8 63 39.2 285 46.1 360Colorado Springs, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . 15.6 63 235 210 10,133 335 11,805 334 12.3 32 89.0 166 61.5 208

Columbia, MO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 229 734 8 11,235 307 13,119 303 10.7 44 58.7 230 54.8 325Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 186 300 114 12,346 262 14,925 241 7.9 108 78.5 186 63.9 133Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 108 237 206 13,919 199 16,273 198 5.8 174 63.3 215 53.7 335Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 157 272 150 14,619 168 17,799 127 2.9 287 75.5 191 69.5 18Columbus, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 84 300 114 11,459 301 13,035 306 9.3 72 186.6 51 59.0 258Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.6 61 246 193 13,191 227 15,459 221 4.5 233 94.4 150 55.7 313

See footnotes at end of table.

E–22 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 23: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Metropolitan statistical area

Birth rate,2002

Physicians,20031

Medicareprogram

enrollment,20032

Social securityprogram

beneficiaries,December

2004

Housing units,percentchange

2000–20043

Housing unitsper square

mile ofland area,

2004

Home-ownershiprate, 2000(percent)

Rate per1,000

persons4 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank Percent Rank Number Rank Percent Rank

Corvallis, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 349 347 73 10,929 320 13,384 294 6.2 160 50.2 262 54.0 333Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 343 233 213 20,076 18 21,397 36 1.5 342 60.8 226 64.3 121Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . . . 17.6 28 221 237 8,716 352 10,181 350 10.2 52 244.9 30 56.7 295Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.4 14 162 325 12,445 251 15,019 236 8.4 93 77.0 187 65.8 83Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 192 192 287 19,030 32 21,409 35 1.0 354 40.8 282 66.0 80Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 304 179 312 19,913 21 23,967 15 2.4 316 51.6 253 62.1 198

Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . . . 13.2 190 203 270 15,740 105 18,140 111 2.3 317 71.5 201 67.7 45Dayton, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 243 288 137 15,668 110 17,413 145 2.8 290 219.4 41 62.4 193Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 236 147 344 15,422 123 18,937 84 3.7 260 50.7 259 69.1 23Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 207 257 180 18,124 43 20,349 49 2.3 318 88.5 169 66.4 67Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . . . 9.9 348 213 252 22,335 8 25,476 9 8.9 81 209.1 43 65.6 88Denver-Aurora, CO6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.4 45 330 82 9,721 337 11,106 338 12.8 28 118.3 115 64.0 130

Des Moines, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.3 70 221 237 12,651 248 14,537 256 10.3 51 76.4 190 67.3 55Detroit-Warren-Livonia, MI. . . . . . . . . . . . . . . . . . . . . . . 13.3 181 291 129 13,662 209 15,888 211 3.7 256 476.3 12 68.6 33Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 174 258 177 15,585 117 21,197 39 4.3 238 36.3 292 64.7 114Dover, DE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 120 169 320 13,488 216 16,884 169 11.5 37 95.5 149 65.5 90Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 221 261 172 16,700 69 18,961 83 5.1 206 61.4 220 69.7 15Duluth, MN-WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.4 337 297 118 17,860 45 19,942 59 3.0 282 15.9 344 64.9 108

Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 101 1,108 3 11,579 296 13,839 282 11.5 38 113.7 118 55.3 319Eau Claire, WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 278 317 94 14,871 154 17,153 157 8.3 96 39.6 284 65.4 92El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.4 19 93 360 12,641 249 14,739 248 8.8 82 11.4 354 52.3 344Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.5 66 206 266 13,425 218 15,575 218 7.5 117 52.5 251 62.7 177Elkhart-Goshen, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.2 50 146 346 12,270 265 14,290 266 7.5 120 161.7 65 68.5 34Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 291 306 110 18,520 37 21,488 32 0.8 356 93.2 154 64.0 128

El Paso, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.3 8 193 284 11,262 305 12,659 318 7.2 132 237.5 32 59.5 247Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 280 220 239 16,182 87 18,558 99 1.7 333 145.0 82 64.5 117Eugene-Springfield, OR . . . . . . . . . . . . . . . . . . . . . . . . . 10.7 332 271 153 15,520 119 17,910 122 3.9 252 31.7 306 58.4 271Evansville, IN-KY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 244 265 163 16,244 85 18,901 85 4.8 217 67.6 210 66.5 65Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.9 24 243 198 6,140 360 7,973 360 1.5 343 4.6 360 48.3 356Fargo, ND-MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 214 344 75 11,876 282 13,230 298 9.6 66 28.7 314 56.1 303

Farmington, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.5 44 148 342 10,527 329 12,956 309 2.6 300 8.0 357 65.7 86Fayetteville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.9 22 209 262 10,088 336 12,654 321 6.8 145 133.9 97 55.2 322Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . . . 16.3 46 188 295 13,396 222 16,162 204 13.1 27 51.5 255 60.9 219Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 59 267 159 11,725 291 11,079 339 7.1 136 3.1 361 46.5 359Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 134 225 230 14,812 161 17,557 139 5.4 192 302.7 25 67.7 44Florence, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 142 248 191 15,265 130 17,925 121 2.6 303 60.9 225 67.2 57

Florence-Muscle Shoals, AL. . . . . . . . . . . . . . . . . . . . . . . 10.9 327 193 284 18,923 34 22,872 21 3.2 277 53.4 249 66.4 69Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 301 183 305 16,466 77 17,454 142 4.7 224 56.9 233 68.6 32Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . . . 12.4 257 252 187 10,708 327 12,291 326 13.3 25 45.9 273 62.4 191Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 96 179 312 16,146 90 19,785 60 4.0 250 30.0 312 63.8 137Fort Walton Beach-Crestview-Destin, FL . . . . . . . . . . . . . . 14.0 140 272 150 15,029 148 16,833 173 8.2 99 90.9 158 55.9 309Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 92 257 180 13,106 233 15,413 223 6.1 164 126.4 109 67.5 52

Fresno, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.8 26 216 246 11,118 311 12,379 323 5.7 185 48.0 267 52.8 341Gadsden, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.3 262 211 257 19,175 27 23,531 18 3.1 279 88.6 168 67.4 53Gainesville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.0 323 812 6 12,422 256 13,847 281 7.8 111 89.0 165 51.9 347Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.3 15 223 234 11,047 316 13,498 293 15.3 14 149.5 76 66.0 79Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.3 341 227 226 17,244 59 20,123 55 3.4 270 37.4 290 56.2 302Goldsboro, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 104 175 315 15,664 112 18,516 100 4.6 226 89.6 164 58.8 260

Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 223 283 141 13,402 221 14,940 238 2.8 291 12.5 351 54.6 327Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 237 293 124 17,304 57 19,254 74 11.9 33 16.4 343 68.8 27Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . . . 14.9 93 239 202 12,147 270 14,481 258 5.6 186 109.5 128 67.9 41Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 162 307 106 16,587 71 18,871 88 1.0 355 13.2 349 59.9 237Greeley, CO6 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.3 30 157 329 9,147 347 11,009 340 25.6 1 20.8 330 65.6 87Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 169 224 231 12,790 241 15,193 233 8.8 83 68.8 204 63.4 147

Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . . . 13.3 184 224 231 14,551 173 17,035 163 7.9 109 148.1 79 62.4 187Greenville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.2 125 582 10 12,371 261 14,947 237 11.7 36 80.1 181 54.0 332Greenville, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 212 264 166 14,553 172 17,254 153 7.0 140 127.8 106 63.9 134Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 100 269 158 14,927 152 17,674 133 8.5 91 76.6 188 58.6 267Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . . . 12.8 230 196 278 14,839 157 17,264 151 10.0 58 102.5 141 63.5 145Hanford-Corcoran, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 17.2 32 104 358 8,240 356 10,068 352 7.3 130 28.2 315 52.6 342

Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 310 369 60 15,879 97 17,240 154 3.7 263 138.1 92 65.0 105Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 233 231 217 12,439 253 15,583 217 6.7 148 50.3 261 60.7 222Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . . . 11.3 312 378 52 15,310 127 17,157 156 2.4 315 319.0 24 62.7 180Hattiesburg, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 87 328 87 13,907 200 17,012 165 3.7 259 32.5 304 61.6 206Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . . . 12.8 228 200 272 15,303 128 18,678 92 6.0 165 93.8 153 68.7 30Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . . . 22.2 6 85 361 5,841 361 7,945 361 5.8 176 30.1 311 46.5 358

Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . . . 14.1 129 140 349 11,835 287 13,679 286 10.0 57 168.9 63 76.0 2Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 112 389 40 14,188 187 15,305 227 3.1 280 543.2 7 49.4 353Hot Springs, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 320 326 89 25,361 5 26,992 7 2.6 306 68.1 207 59.9 239Houma-Bayou Cane-Thibodaux, LA . . . . . . . . . . . . . . . . . 14.9 90 168 321 13,409 219 17,096 160 4.6 227 33.5 299 69.6 17Houston-Sugar Land-Baytown, TX . . . . . . . . . . . . . . . . . . 17.5 29 291 129 8,522 354 10,066 353 10.5 46 222.6 39 56.1 305Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . . . 11.9 284 330 82 19,379 25 21,415 34 1.1 353 75.1 193 65.5 89

Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.3 261 237 206 13,048 236 15,123 235 6.6 149 114.3 117 65.2 102Idaho Falls, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.1 20 210 259 11,939 277 14,666 251 9.4 69 13.6 346 72.0 6Indianapolis, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.5 68 386 43 11,907 281 14,074 274 9.9 59 183.5 53 62.4 190Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 216 1,294 2 10,310 333 11,947 332 10.4 49 50.7 260 57.1 291Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.5 360 271 153 11,070 313 12,867 311 3.6 266 84.1 177 50.7 348Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.4 256 130 352 15,050 146 17,705 131 5.5 191 93.9 152 70.7 11

See footnotes at end of table.

E–23State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 24: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Metropolitan statistical area

Birth rate,2002

Physicians,20031

Medicareprogram

enrollment,20032

Social securityprogram

beneficiaries,December

2004

Housing units,percentchange

2000–20043

Housing unitsper square

mile ofland area,

2004

Home-ownershiprate, 2000(percent)

Rate per1,000

persons4 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank Percent Rank Number Rank Percent Rank

Jackson, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.8 98 417 29 13,062 235 15,906 210 6.2 158 56.0 238 64.2 124Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 155 385 45 14,429 180 17,292 150 7.0 141 56.2 236 63.5 144Jacksonville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.9 147 313 100 12,652 247 14,853 243 11.0 42 163.7 64 61.5 209Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.8 7 165 323 8,741 351 10,607 345 8.3 98 78.7 185 50.2 350Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 235 215 251 14,683 163 17,418 144 5.4 196 90.9 157 67.1 59Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 251 139 350 13,623 211 16,590 187 6.0 167 26.7 319 66.3 73

Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 319 458 20 17,692 50 21,029 41 4.2 245 100.0 143 65.3 96Johnstown, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.7 352 287 139 21,956 9 24,210 13 0.4 358 96.0 147 68.8 28Jonesboro, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 131 262 169 15,212 133 18,497 101 5.1 204 33.1 301 59.2 253Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.2 72 181 308 16,266 83 19,266 73 4.8 213 55.8 239 64.0 132Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 227 331 81 13,702 208 16,344 194 5.7 184 120.0 113 62.9 168Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 85 174 317 15,636 115 17,875 125 4.3 240 62.6 216 65.3 97

Kansas City, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 82 285 140 12,897 238 14,826 246 7.1 134 104.7 135 63.8 138Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . . . . . . . 16.5 43 185 299 10,746 325 12,775 316 9.4 70 26.7 318 64.0 131Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . . 20.0 11 316 95 9,494 341 11,305 336 9.0 77 47.1 269 51.9 346Kingsport-Bristol-Bristol, TN-VA . . . . . . . . . . . . . . . . . . . . 10.6 336 278 145 20,015 19 24,198 14 3.9 251 70.4 203 69.2 22Kingston, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 347 207 264 15,322 126 18,255 106 2.8 292 70.9 202 59.1 255Knoxville, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 283 358 65 15,864 98 18,595 98 6.1 163 157.8 69 64.3 120

Kokomo, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 191 185 299 16,103 92 19,503 66 3.7 261 83.3 179 67.8 43La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 314 448 22 14,656 165 16,525 188 4.7 220 53.5 248 64.4 119Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 232 231 217 11,064 314 13,257 297 9.0 75 60.4 227 56.1 304Lafayette, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 80 290 133 11,652 293 14,211 270 5.9 172 103.2 139 62.9 169Lake Charles, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 106 210 259 14,223 185 16,918 167 6.2 162 36.2 293 64.1 126Lakeland, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 158 187 298 18,324 42 22,017 27 9.0 78 131.6 101 60.7 225

Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 133 188 295 15,130 140 17,227 155 4.7 218 198.6 50 67.9 42Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . . . 12.6 247 236 208 12,195 267 14,379 259 5.7 177 112.6 121 63.8 139Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.7 1 106 357 8,617 353 9,922 355 13.8 24 18.7 336 60.4 231Las Cruces, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.2 31 174 317 12,142 271 13,963 276 8.0 106 18.5 338 61.6 204Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 56 196 278 11,572 297 13,899 278 22.1 3 86.4 171 54.1 331Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 286 216 246 9,377 345 10,708 343 9.4 68 96.4 146 49.6 352

Lawton, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.0 33 213 252 11,972 275 14,320 264 1.2 351 43.0 279 52.9 340Lebanon, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 245 245 194 17,735 48 20,300 51 4.7 222 142.7 86 68.7 31Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 273 245 194 19,411 23 22,549 23 1.9 329 17.4 341 63.7 141Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 281 266 162 17,659 51 20,218 53 2.7 297 100.4 142 58.0 281Lexington-Fayette, KY . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 163 520 13 12,153 269 14,363 261 8.4 94 128.5 104 56.0 308Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 153 258 177 15,736 106 18,331 105 1.4 344 110.9 124 66.2 74

Lincoln, NE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 111 265 163 11,914 280 13,368 296 6.8 144 83.6 178 58.1 278Little Rock-North Little Rock, AR. . . . . . . . . . . . . . . . . . . . 14.5 114 441 24 13,383 223 16,519 190 6.3 157 68.1 208 61.3 211Logan, UT-ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.5 5 156 333 8,374 355 9,869 356 10.6 45 19.9 333 62.6 181Longview, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.3 71 190 292 16,688 70 18,664 93 2.5 310 46.6 270 64.2 123Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 195 224 231 16,236 86 19,748 62 4.2 242 35.4 295 62.8 172Los Angeles-Long Beach-Santa Ana, CA . . . . . . . . . . . . 15.4 69 307 106 10,443 331 10,580 346 2.1 325 892.6 2 48.9 354

Louisville, KY-IN7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 183 340 78 14,606 169 17,013 164 6.5 153 126.8 108 65.3 95Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.9 53 411 30 12,415 257 14,316 265 7.3 127 61.9 218 54.4 328Lynchburg, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 311 211 257 18,397 40 20,465 47 5.4 193 48.7 265 68.0 39Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 107 362 63 14,827 159 17,540 140 5.5 190 57.5 231 59.1 256Madera, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.7 37 112 355 14,279 182 14,327 263 8.7 85 20.6 331 59.3 252Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 252 510 14 11,528 299 13,085 304 9.5 67 85.1 173 57.3 286

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 226 240 200 12,177 268 14,345 262 5.0 209 179.7 57 62.6 184Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 278 184 303 17,105 60 19,243 75 3.1 281 110.1 125 66.8 62McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . . . 25.6 3 119 354 9,194 346 10,845 342 15.7 12 141.9 87 59.5 248Medford, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 309 316 95 17,816 47 20,705 45 8.7 87 29.5 313 62.8 171Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.5 65 297 118 11,800 289 14,245 268 7.8 112 113.4 119 61.5 207Merced, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.9 23 111 356 9,083 348 12,200 329 9.9 62 38.9 286 54.8 324

Miami-Fort Lauderdale-Miami Beach, FL. . . . . . . . . . . . . 13.1 199 343 76 15,404 124 16,644 185 6.7 147 447.7 14 58.5 268Michigan City-La Porte, IN. . . . . . . . . . . . . . . . . . . . . . . . 12.4 259 185 299 15,129 141 17,903 123 3.4 271 78.8 184 67.7 47Midland, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.8 55 188 295 12,335 263 14,647 254 2.0 327 54.4 245 61.8 202Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . . . 13.9 146 374 54 14,131 190 16,032 207 3.1 278 436.8 15 58.1 279Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . . . 14.6 110 305 111 10,724 326 12,197 330 8.2 100 208.8 44 70.4 12Missoula, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 305 400 37 11,840 286 13,546 290 7.3 126 17.1 342 57.6 284

Mobile, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 109 292 127 14,832 158 18,240 107 4.6 228 140.1 90 62.6 182Modesto, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.5 41 183 305 11,844 285 13,619 287 8.7 86 109.7 127 59.6 245Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 81 260 174 14,037 194 16,221 200 3.2 276 49.3 264 60.0 236Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 285 94 359 13,154 229 16,044 206 9.9 60 112.6 120 77.1 1Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.4 118 217 242 14,065 193 16,883 170 4.6 230 55.5 240 62.7 179Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.0 324 743 7 13,239 226 15,735 215 2.2 319 50.8 258 59.8 240

Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 219 151 340 17,729 49 20,999 42 5.7 178 79.4 183 69.1 25Mount Vernon-Anacortes, WA . . . . . . . . . . . . . . . . . . . . . 13.0 206 271 153 15,984 95 18,468 102 7.1 135 26.4 320 63.5 146Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.9 325 305 111 15,732 107 18,602 97 2.8 294 133.3 98 62.1 197Muskegon-Norton Shores, MI. . . . . . . . . . . . . . . . . . . . . . 13.4 173 157 329 16,112 91 19,338 69 5.1 205 141.6 88 71.8 8Myrtle Beach-Conway-North Myrtle Beach, SC . . . . . . . . . . 12.3 263 199 274 16,031 94 21,572 31 15.2 15 124.0 111 48.9 355Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.0 276 426 28 16,725 68 16,740 180 5.7 179 68.1 206 60.9 218

Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 203 387 42 18,928 33 21,697 28 20.8 4 86.2 172 53.8 334Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . . . 14.3 119 371 57 11,875 283 14,158 271 9.4 71 104.5 137 62.7 178New Haven-Milford, CT. . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 268 524 12 15,664 112 17,359 149 1.3 346 569.8 5 59.1 257New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . . . 14.1 132 460 19 13,610 212 16,025 208 2.6 301 178.5 59 55.9 311New York-Northern New Jersey-Long Island, NY-NJ-PA . . 14.0 145 448 22 13,539 214 14,577 255 2.1 326 1,076.3 1 47.8 357Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 253 196 278 17,828 46 19,760 61 2.7 295 132.1 100 62.5 185

See footnotes at end of table.

E–24 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 25: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Metropolitan statistical area

Birth rate,2002

Physicians,20031

Medicareprogram

enrollment,20032

Social securityprogram

beneficiaries,December

2004

Housing units,percentchange

2000–20043

Housing unitsper square

mile ofland area,

2004

Home-ownershiprate, 2000(percent)

Rate per1,000

persons4 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank Percent Rank Number Rank Percent Rank

Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . . . 13.6 159 276 147 14,854 155 16,717 181 2.7 296 170.7 62 60.1 234Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.7 333 190 292 25,848 3 30,007 3 14.4 20 88.9 167 69.4 21Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.0 345 155 336 21,853 10 24,812 10 5.9 173 377.8 19 34.4 361Odessa, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.6 16 207 264 12,953 237 15,142 234 2.2 323 56.1 237 60.8 220Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.1 10 163 324 9,491 342 10,449 347 11.1 40 109.4 129 72.4 5Oklahoma City, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 76 288 137 12,385 259 14,650 253 5.4 194 90.2 161 59.3 250

Olympia, WA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 317 289 135 13,375 224 15,912 209 7.4 123 128.0 105 62.7 176Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . . . 16.1 51 371 57 12,380 260 14,036 275 7.2 133 76.6 189 63.2 151Orlando-Kissimee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.8 152 231 217 13,784 204 15,771 213 15.1 16 225.4 38 60.6 227Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 299 289 135 14,179 188 16,641 186 7.0 139 157.9 68 64.2 122Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 168 198 276 16,894 64 20,142 54 7.4 121 55.1 243 67.2 56Oxnard-Thousand Oaks-Ventura, CA. . . . . . . . . . . . . . . . . 14.9 95 239 202 11,534 298 12,811 314 5.0 208 143.2 85 65.3 94

Palm Bay-Melbourne-Titusville, FL . . . . . . . . . . . . . . . . . . 9.7 351 243 198 20,460 15 23,813 16 9.7 64 239.3 31 66.6 64Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . . 13.1 196 229 221 16,438 78 19,182 76 9.7 65 112.6 122 52.1 345Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . . . 11.3 307 194 283 18,430 39 21,125 40 1.5 341 55.0 244 67.6 48Pascagoula, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 130 216 246 13,268 225 17,881 124 6.9 142 52.5 252 69.9 14Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . . . 12.8 234 293 124 15,131 139 18,238 108 7.5 118 111.2 123 63.2 149Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 193 299 117 16,336 79 18,637 95 3.4 272 64.1 213 68.1 38

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . . . 13.0 207 401 36 14,582 171 16,445 192 2.7 298 506.0 9 65.5 91Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . . 17.0 34 239 202 11,603 295 13,864 280 14.8 18 104.8 134 61.0 216Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 156 173 319 15,128 142 17,620 137 2.5 312 21.6 327 60.6 229Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.4 338 384 47 19,117 30 21,456 33 1.7 336 207.7 45 66.0 81Pittsfield, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.3 356 402 34 20,093 17 22,714 22 1.3 347 72.1 200 56.5 297Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.5 18 217 242 12,439 253 13,573 289 3.6 265 13.1 350 66.1 77

Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . . . 10.9 326 373 55 15,438 122 17,668 134 5.3 201 118.1 116 58.5 270Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . . . 13.9 150 343 76 11,481 300 13,146 301 6.8 146 126.3 110 59.3 251Port St. Lucie-Fort Pierce, FL. . . . . . . . . . . . . . . . . . . . . . 10.3 339 240 200 22,667 7 26,758 8 14.7 19 159.3 67 66.5 66Poughkeepsie-Newburgh-Middletown, NY . . . . . . . . . . . . . 12.9 218 251 189 13,063 234 15,303 228 4.8 212 148.3 78 63.6 143Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.7 330 228 224 21,152 13 27,027 6 14.1 22 11.5 353 63.0 156Providence-New Bedford-Fall River, RI-MA. . . . . . . . . . . . . 12.1 270 307 106 16,091 93 18,131 112 1.7 334 417.3 16 56.6 296

Provo-Orem, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.9 2 147 344 7,197 358 8,617 359 16.9 7 23.2 326 64.2 125Pueblo, CO. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 143 279 143 17,424 54 18,898 86 8.6 90 26.8 317 65.2 101Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 361 278 145 27,140 2 34,104 1 10.3 50 126.8 107 67.0 60Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 182 195 282 14,822 160 16,896 168 4.4 235 234.2 33 66.9 61Raleigh-Cary, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.9 54 229 221 9,579 340 11,381 335 16.3 9 181.1 56 63.0 158Rapid City, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.5 67 312 102 14,212 186 16,746 177 6.6 150 8.1 356 61.1 215

Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.4 258 203 270 15,860 99 18,384 103 4.6 229 183.0 54 69.7 16Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 305 294 121 19,242 26 22,072 26 6.5 155 19.4 334 61.0 217Reno-Sparks, NV. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 103 314 99 12,094 272 14,282 267 13.2 26 24.9 323 54.6 326Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 194 357 67 13,116 231 15,514 219 7.3 129 85.0 174 64.6 115Riverside-San Bernardino-Ontario, CA. . . . . . . . . . . . . . . . 16.1 52 175 315 10,952 318 12,717 317 10.1 54 47.9 268 58.1 277Roanoke, VA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.1 322 398 38 17,276 58 20,059 57 4.7 219 72.4 199 65.1 103

Rochester, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 89 1,720 1 12,551 250 14,727 249 12.6 29 45.3 275 74.6 4Rochester, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 289 386 43 15,245 132 17,798 128 2.2 320 149.0 77 63.2 152Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.1 136 257 180 14,115 191 16,782 175 5.7 181 172.6 61 67.1 58Rocky Mount, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 165 162 325 16,265 84 19,001 79 5.7 183 61.7 219 58.7 264Rome, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 105 365 62 16,282 81 19,572 65 5.3 199 75.1 192 62.1 196Sacramento-Arden-Arcade-Roseville, CA . . . . . . . . . . . . . . 14.0 144 290 132 12,436 255 13,534 291 11.1 39 155.9 71 57.0 293

Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . . . 12.7 241 267 159 16,278 82 19,298 71 2.9 289 108.8 131 69.5 20St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 176 252 187 12,733 244 14,130 273 10.4 48 40.1 283 68.8 26St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.9 12 189 294 15,521 118 18,708 91 23.1 2 18.5 337 60.7 223St. Joseph, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.3 264 150 341 16,180 88 18,787 90 2.4 313 31.2 308 64.5 116St. Louis, MO-IL8 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 212 330 82 14,550 175 16,773 176 4.4 236 136.8 93 66.3 72Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 115 199 274 14,035 195 16,167 202 5.3 198 72.6 198 60.1 235

Salinas, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.8 35 232 215 10,557 328 11,937 333 3.7 261 41.1 281 50.3 349Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 239 308 103 14,587 170 16,996 166 7.7 114 68.0 209 61.2 213Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.1 9 352 70 8,811 349 10,305 349 7.5 119 38.6 287 64.7 112San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.2 75 217 242 15,513 121 17,641 135 2.4 314 17.8 339 57.7 283San Antonio, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.5 42 330 82 11,920 279 13,885 279 8.1 102 95.5 148 59.8 242San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . . . 15.2 74 347 73 11,997 273 12,881 310 5.7 182 261.7 27 53.0 339

Sandusky, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.7 298 179 312 17,633 52 19,138 77 2.5 307 144.5 83 63.6 142San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . . . 13.5 164 441 24 12,676 245 12,808 315 3.0 284 669.1 3 53.5 337San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . . . 16.2 48 382 50 10,274 334 10,407 348 3.8 255 230.7 34 58.7 266San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . . . 9.4 355 323 91 15,849 100 17,776 130 7.4 125 33.2 300 55.7 314Santa Barbara-Santa Maria, CA . . . . . . . . . . . . . . . . . . . . 14.2 126 328 87 13,964 196 15,270 229 3.4 268 54.0 246 53.6 336Santa Cruz-Watsonville, CA. . . . . . . . . . . . . . . . . . . . . . . 13.9 148 294 121 11,148 310 12,369 324 2.2 321 226.9 37 55.3 320

Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.1 274 405 32 12,410 258 14,496 257 4.5 232 31.6 307 62.4 192Santa Rosa-Petaluma, CA. . . . . . . . . . . . . . . . . . . . . . . . 12.2 267 316 95 13,718 207 15,246 230 4.7 225 121.6 112 60.3 232Sarasota-Bradenton-Venice, FL . . . . . . . . . . . . . . . . . . . . 10.0 344 371 57 25,474 4 27,674 4 11.0 43 271.1 26 62.8 170Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 77 322 92 13,150 230 15,331 226 8.6 89 97.9 145 58.3 273Scranton-Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . . 9.6 353 254 185 20,855 14 23,737 17 1.2 350 146.5 81 62.8 173Seattle-Tacoma-Bellevue, WA . . . . . . . . . . . . . . . . . . . . 12.9 220 373 55 11,270 304 12,600 322 6.6 151 227.0 36 59.2 254

Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 266 181 308 15,515 120 17,630 136 5.1 207 94.0 151 67.7 46Sherman-Denison, TX . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 172 216 246 16,531 73 18,618 96 3.5 267 53.6 247 62.6 183Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . . . 14.8 99 453 21 14,622 167 16,714 182 4.0 249 64.0 214 59.7 243Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.2 49 200 272 14,980 150 16,520 189 1.9 330 28.0 316 65.3 98Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 57 384 47 12,809 240 14,823 247 12.4 31 33.0 302 64.8 111South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . . . 13.5 170 232 215 15,033 147 17,261 152 4.2 244 143.7 84 67.5 50

See footnotes at end of table.

E–25State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 26: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-15. Metropolitan Area Rankings — Social and Housing Indicators—Con.

Metropolitan statistical area

Birth rate,2002

Physicians,20031

Medicareprogram

enrollment,20032

Social securityprogram

beneficiaries,December

2004

Housing units,percentchange

2000–20043

Housing unitsper square

mile ofland area,

2004

Home-ownershiprate, 2000(percent)

Rate per1,000

persons4 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank

Rate per100,000

persons5 Rank Percent Rank Number Rank Percent Rank

Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 189 234 211 15,891 96 18,980 81 7.2 131 141.5 89 65.8 85Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 209 322 92 14,288 181 16,167 202 5.4 195 104.6 136 61.2 212Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 240 505 15 15,300 129 17,927 120 3.7 258 79.6 182 65.0 107Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 315 313 100 15,841 101 17,827 126 1.3 348 151.4 74 59.5 246Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 210 254 185 15,665 111 18,060 115 8.9 80 56.6 235 62.9 164Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 238 166 322 17,066 61 18,988 80 1.2 352 154.6 72 66.3 71

State College, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.1 357 229 221 11,609 294 13,371 295 6.0 166 50.9 257 55.8 312Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.6 38 162 325 11,285 303 12,847 312 11.9 35 151.3 75 58.0 282Sumter, SC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 88 148 342 13,720 206 16,661 184 4.1 246 65.3 212 62.8 174Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.8 290 384 47 15,631 116 18,115 113 1.7 337 118.3 114 60.7 221Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 249 245 194 10,831 324 12,828 313 8.6 88 62.2 217 57.3 288Tampa-St. Petersburg-Clearwater, FL . . . . . . . . . . . . . . . . 11.7 296 295 120 18,542 36 21,217 38 7.9 110 483.2 11 62.4 188

Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.6 248 209 262 16,763 67 19,268 72 2.9 288 50.9 256 65.3 99Texarkana, TX-Texarkana, AR . . . . . . . . . . . . . . . . . . . . . 13.1 202 265 163 15,332 125 17,685 132 4.4 237 37.4 289 62.9 165Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 222 335 79 14,672 164 16,342 195 3.3 273 182.1 55 62.0 200Topeka, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 138 249 190 16,300 80 18,036 116 4.3 239 31.0 309 65.9 82Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 223 411 30 14,472 178 15,774 212 3.2 275 608.9 4 63.3 148Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.2 124 379 51 15,102 143 17,142 158 8.3 97 43.2 278 58.2 275

Tulsa, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 91 212 255 13,796 203 16,307 196 4.7 221 61.0 222 62.1 199Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.0 211 262 169 14,508 176 18,003 118 6.6 152 34.4 298 58.2 276Tyler, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.2 73 404 33 15,751 104 17,930 119 4.7 223 80.8 180 63.8 135Utica-Rome, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.6 334 223 234 18,888 35 21,614 29 0.4 358 51.6 254 58.7 265Valdosta, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.9 94 180 311 11,971 276 14,666 251 7.4 124 32.5 303 57.2 289Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 121 212 255 10,435 332 12,006 331 7.1 137 173.7 60 63.2 150

Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 358 358 65 27,154 1 30,217 2 14.3 21 131.5 102 65.8 84Victoria, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.6 62 217 242 14,279 182 16,881 171 3.0 283 21.3 329 59.6 244Vineland-Millville-Bridgeton, NJ. . . . . . . . . . . . . . . . . . . . . 14.1 135 145 347 15,150 138 17,361 148 1.7 338 109.8 126 63.2 153Virginia Beach-Norfolk-Newport News, VA-NC. . . . . . . . . . . 14.4 116 300 114 11,835 287 13,799 283 5.6 187 250.3 28 58.8 262Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.5 13 135 351 10,898 322 13,071 305 6.0 169 26.3 321 56.8 294Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 78 231 217 14,150 189 16,146 205 4.2 243 84.8 176 56.0 307

Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.8 151 156 333 10,949 319 12,655 320 15.0 17 135.9 94 63.0 160Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . . . 15.1 83 440 26 9,473 343 10,081 351 7.6 115 361.4 21 60.7 224Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 265 206 266 16,521 74 18,966 82 3.9 253 45.7 274 68.0 40Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.9 288 262 169 13,756 205 16,485 191 8.1 103 35.2 296 71.7 9Weirton-Steubenville, WV-OH. . . . . . . . . . . . . . . . . . . . . . 10.0 346 142 348 21,692 11 24,280 12 0.7 357 102.5 140 69.5 19Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.5 171 274 149 15,069 145 17,368 147 4.3 241 9.5 355 56.5 299

Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 350 271 153 20,190 16 23,237 19 0.4 360 73.1 196 66.2 75Wichita, KS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 58 260 174 13,405 220 15,384 225 4.8 216 60.2 228 62.9 162Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 141 255 183 14,809 162 16,871 172 2.7 298 24.2 325 58.7 263Williamsport, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.7 331 226 229 18,363 41 20,809 43 1.8 332 43.3 277 62.2 194Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 300 308 103 16,785 66 20,329 50 14.0 23 90.0 162 54.3 330Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 231 304 113 14,279 182 17,063 162 9.0 76 46.1 272 63.8 136

Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 160 462 18 15,165 137 17,426 143 7.4 122 134.5 96 64.9 110Worcester, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 201 355 68 14,461 179 16,304 197 3.4 269 203.8 47 61.1 214Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.0 21 193 284 12,655 246 14,707 250 2.2 324 18.8 335 60.2 233York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.7 294 192 287 14,902 153 17,605 138 6.0 168 183.7 52 72.0 7Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . . . 10.3 340 219 240 19,122 29 21,611 30 1.6 340 153.1 73 68.7 29Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.5 39 183 305 13,515 215 15,445 222 6.5 154 44.0 276 54.4 329Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.6 17 128 353 11,987 274 14,241 269 8.7 84 14.6 345 52.4 343

1Active, nonfederal physicians as of December 31.2Unduplicated count of persons enrolled in either hospital and/or supplemental medical insurance as of July 1.3The April 1, 2000, housing estimates base reflects changes to the 2000 Census of Population and Housing as documented in the Count Question Resolution program and geographic program

revisions.4Per 1,000 resident population estimated as of July 1, 2002.5Based on resident population estimated as of July 1 of the year shown.6The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15,

2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county whendata are available to do so. In many cases, the data will not be available.

Sources: U.S. Census Bureau. U.S. National Center for Health Statistics, American Medical Association. For more information, see <http://www.census.gov/popest.housing>,<http://cdc.gov/nchs/nvss.htm>, and <http://www.aha.org/aha/index/jsp;>. See Tables B-5, B-6 and B-7 of the State and Metropolitan Area Data Book: 2006.

E–26 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-16. Metropolitan Area Rankings — Economic Indicators

Metropolitan statistical area

Earnings, 2002—percent by selected major industries Civilianlabor force,2000–2004

Unemployment rate,22004

New private housing unitsauthorized by buildingpermits, 2000–2003Manufacturing Government1

Percent Rank Percent Rank Net change Rank Rate Rank Number Rank

Abilene, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.5 318 30.1 51 5,012 177 4.9 222 1,380 320Akron, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.8 114 14.9 227 9,785 108 6.0 102 12,396 99Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 22.9 105 946 272 5.2 190 2,982 260Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . 7.8 272 26.8 73 16,396 63 4.2 305 11,916 106Albuquerque, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 260 22.7 109 21,567 45 5.2 187 25,656 50Alexandria, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.8 216 26.7 77 1,258 264 5.7 124 2,004 289

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . 21.3 87 11.1 328 19,721 51 5.3 178 16,837 78Altoona, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.1 143 15.8 210 3,446 203 5.5 151 1,164 331Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.5 275 17.1 178 10,675 102 4.3 293 3,543 243Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.3 196 44.2 13 −116 301 3.2 357 2,796 267Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 338 27.1 68 9,454 114 6.4 73 8,199 134Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 10 14.6 234 −329 305 5.9 110 1,751 304

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.6 25 17.9 163 330 291 7.1 44 5,165 203Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.7 115 27.0 72 2,203 244 4.3 295 8,945 127Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . 19.3 110 29.8 52 755 280 5.4 168 991 340Appleton, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.7 62 10.1 341 4,352 184 4.6 262 7,944 142Asheville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.5 125 16.0 205 11,225 100 4.3 302 13,361 92Athens-Clarke County, GA . . . . . . . . . . . . . . . . . . . . . . 14.0 167 32.3 46 5,957 151 3.4 349 7,003 163

Atlanta-Sandy Springs-Marietta, GA. . . . . . . . . . . . . . . . 8.2 267 11.5 315 81,620 13 4.6 249 267,199 1Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 331 16.7 191 5,422 159 5.6 146 7,615 149Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 149 34.5 33 3,984 189 4.2 309 4,020 227Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . 14.0 168 26.8 74 13,528 77 5.4 165 12,292 102Austin-Round Rock, TX . . . . . . . . . . . . . . . . . . . . . . . . 14.6 162 17.9 162 39,898 26 5.1 208 72,106 21Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 321 27.1 67 24,212 40 9.8 8 16,886 76

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . 8.3 266 21.9 115 20,017 50 4.5 266 44,836 36Bangor, ME. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 176 20.1 136 3,623 198 5.4 163 2,086 283Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 330 15.8 208 9,761 109 4.8 226 6,122 182Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.9 171 19.8 139 12,673 81 6.1 93 16,907 75Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.8 24 19.2 153 3,360 206 7.0 51 1,751 304Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 97 16.9 185 107 299 7.6 31 1,438 318

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . 20.5 100 15.4 220 3,138 215 8.4 17 4,196 220Bellingham, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.8 173 18.4 157 12,623 84 5.7 123 6,926 165Bend, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.5 243 14.3 244 9,492 113 6.7 59 10,105 117Billings, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 291 13.7 261 6,159 147 3.5 343 2,675 271Binghamton, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 49 19.6 142 −2,475 336 5.3 174 1,331 323Birmingham-Hoover, AL. . . . . . . . . . . . . . . . . . . . . . . . 9.7 240 13.8 258 −1,665 328 4.8 225 22,392 57

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 274 21.5 123 3,642 197 3.0 359 3,088 256Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . 26.2 54 29.0 57 3,392 205 4.1 312 2,849 262Bloomington, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.8 147 29.3 55 2,877 224 4.6 263 3,725 233Bloomington-Normal, IL . . . . . . . . . . . . . . . . . . . . . . . . 10.8 215 12.7 285 −412 308 4.5 271 5,800 188Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . 18.0 121 14.3 242 16,176 66 4.3 294 27,655 44Boston-Cambridge-Quincy, MA-NH. . . . . . . . . . . . . . . 11.4 206 10.1 338 −5,419 350 4.9 221 47,961 34

Boulder, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.9 122 14.1 252 6,040 149 4.9 218 9,246 126Bowling Green, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.5 84 16.9 183 2,605 232 4.4 277 3,224 253Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . 1.5 341 54.5 7 14,736 73 5.9 115 4,938 211Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . 12.0 201 6.7 360 8,869 116 4.4 286 8,341 131Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . 9.8 239 27.0 70 15,832 67 8.8 12 13,566 89Brunswick, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.5 204 26.2 81 3,694 196 4.0 321 3,256 251

Buffalo-Niagara Falls, NY. . . . . . . . . . . . . . . . . . . . . . . 20.0 105 17.8 168 7,365 135 5.8 118 11,341 108Burlington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.0 69 9.8 342 583 282 6.2 86 4,469 218Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . 21.3 88 15.8 209 5,325 162 3.5 344 4,030 226Canton-Massillon, OH . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 48 12.0 304 −1,176 319 6.6 63 5,367 195Cape Coral-Fort Myers, FL. . . . . . . . . . . . . . . . . . . . . . 4.8 317 15.4 218 40,332 25 3.9 330 46,900 35Carson City, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.8 217 36.4 24 738 281 5.0 213 1,199 328

Casper, WY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 304 13.5 266 3,335 207 3.7 336 609 353Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.6 82 11.0 329 817 278 5.1 209 7,074 160Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . 10.8 214 34.2 36 −556 310 4.6 259 5,095 206Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 229 18.2 160 −6,570 352 5.0 216 1,762 303Charleston-North Charleston, SC . . . . . . . . . . . . . . . . . 10.4 222 26.4 78 25,386 38 5.3 174 23,446 53Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . 14.0 169 10.2 337 46,975 21 5.6 142 81,349 17

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . 0.1 345 32.5 44 5,961 150 3.1 358 7,607 150Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . 16.8 131 16.2 199 2,641 230 4.4 278 11,613 107Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 319 40.2 17 2,464 239 4.5 268 1,821 299Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . 13.1 186 11.7 310 −34,733 358 6.1 90 187,013 5Chico, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 312 21.9 116 4,853 180 7.2 42 5,182 202Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . 16.2 142 12.3 296 40,454 24 5.3 182 50,733 31

Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.0 145 48.5 8 5,153 171 5.3 181 7,276 155Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.5 29 11.7 313 249 293 5.2 197 2,264 281Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . 18.5 118 13.7 260 −23,015 357 5.9 112 27,554 45Coeur d’Alene, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.9 257 19.4 146 7,433 134 5.5 154 5,769 189College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . 7.4 278 37.7 21 8,222 123 4.5 275 6,553 176Colorado Springs, CO . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 27.6 62 20,077 49 5.7 132 26,466 48

Columbia, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.4 280 36.8 23 5,829 155 3.7 335 6,373 179Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 207 25.5 87 16,245 64 5.7 126 21,276 60Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 32.7 43 −1,897 332 5.2 193 6,823 168Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 4 11.3 321 −1,278 321 4.4 291 849 346Columbus, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 198 16.2 202 37,862 27 5.4 166 64,622 22Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.3 225 23.0 102 12,616 85 6.7 60 6,922 166

See footnotes at end of table.

E–27State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Metropolitan statistical area

Earnings, 2002—percent by selected major industries Civilianlabor force,2000–2004

Unemployment rate,22004

New private housing unitsauthorized by buildingpermits, 2000–2003Manufacturing Government1

Percent Rank Percent Rank Net change Rank Rate Rank Number Rank

Corvallis, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.3 53 27.0 71 1,080 266 5.4 163 1,867 297Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . 16.4 139 24.5 93 −678 314 6.3 75 983 342Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . (NA) (NA) 9.6 346 115,774 8 5.9 111 198,805 2Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 6 9.4 354 524 284 4.1 314 3,559 241Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.9 78 23.4 99 −1,351 322 8.3 18 262 359Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 17 15.5 216 −241 303 7.4 35 1,254 326

Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . 16.7 136 16.7 189 −3,743 345 5.5 150 4,727 212Dayton, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 96 20.4 131 −1,669 329 6.2 81 12,823 96Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.0 12 14.5 236 −1,593 327 6.1 89 1,550 314Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.2 33 10.1 340 −4,170 346 7.3 38 1,505 317Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . 7.4 277 16.5 195 22,446 43 4.6 260 19,459 66Denver-Aurora, CO3 . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 12.3 299 78,429 14 5.8 122 94,975 14

Des Moines, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.2 281 13.3 271 12,435 88 4.7 239 17,567 70Detroit-Warren-Livonia, MI . . . . . . . . . . . . . . . . . . . . . 21.6 83 10.1 339 −84,522 359 7.1 45 75,813 20Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 174 16.6 193 −240 302 4.7 235 1,938 295Dover, DE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 39.8 19 5,345 161 3.6 342 5,495 193Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.7 71 8.1 358 220 294 4.7 236 1,820 300Duluth, MN-WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 270 21.8 118 2,866 225 5.8 117 4,584 216

Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 41 17.9 166 10,808 101 4.4 288 20,106 65Eau Claire, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.4 127 16.2 200 3,613 199 4.7 232 5,123 205El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 320 35.7 27 3,766 195 17.1 1 4,052 225Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.7 135 45.7 11 3,258 211 5.3 186 3,075 257Elkhart-Goshen, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 2 6.3 361 2,728 226 4.2 310 5,131 204Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 99 21.6 120 −2,244 334 6.1 91 643 352

El Paso, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.2 199 27.6 63 14,845 72 7.8 25 15,622 83Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 49 13.9 255 542 283 6.3 76 2,831 263Eugene-Springfield, OR. . . . . . . . . . . . . . . . . . . . . . . . 14.8 158 19.3 150 2,269 243 7.4 36 5,874 187Evansville, IN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.6 46 9.2 356 1,616 253 4.6 247 6,817 169Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 343 46.9 10 2,580 233 6.6 66 734 348Fargo, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.7 261 15.0 226 8,073 126 2.9 361 7,258 156

Farmington, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.3 328 22.0 113 3,959 190 6.1 92 989 341Fayetteville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.4 264 58.3 4 6,326 146 5.6 140 8,522 130Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . 17.4 128 12.0 303 30,685 31 3.6 340 17,116 72Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.8 285 33.8 37 4,449 181 5.5 159 3,614 239Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2 36 14.6 231 −749 315 8.3 19 10,420 113Florence, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.4 57 17.4 171 4,191 186 8.2 21 1,998 290

Florence-Muscle Shoals, AL . . . . . . . . . . . . . . . . . . . . . 17.0 130 27.3 66 −3,649 344 6.5 68 1,341 322Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 13 11.5 318 1,511 258 4.6 251 1,993 291Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . 20.2 104 19.2 151 16,577 61 4.6 246 13,227 95Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.3 74 13.3 273 5,194 169 5.1 200 3,331 246Fort Walton Beach-Crestview-Destin, FL. . . . . . . . . . . . . 3.5 325 44.4 12 12,425 89 3.5 345 6,613 175Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.2 75 9.7 345 861 277 5.2 192 10,275 116

Fresno, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.6 263 21.8 117 20,243 47 10.4 6 16,514 80Gadsden, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.1 112 14.7 229 −1,493 324 6.3 78 1,232 327Gainesville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.3 323 37.6 22 5,217 167 3.5 347 8,091 139Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.0 44 12.3 298 5,226 166 3.8 332 7,569 151Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.8 132 21.0 129 3,182 213 4.8 230 2,509 277Goldsboro, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 159 35.1 31 814 279 5.4 161 1,972 293

Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . 6.9 284 32.7 42 2,558 235 3.7 334 1,402 319Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 288 17.6 169 10,085 106 5.1 203 5,528 192Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . 26.4 51 9.6 351 −1,891 330 7.0 52 17,080 73Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.9 333 30.8 48 922 274 4.2 308 587 356Greeley, CO3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.5 150 13.4 269 15,077 71 5.4 170 17,044 74Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.6 81 11.8 308 9,840 107 4.7 237 10,779 111

Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . 21.7 79 11.2 325 7,777 130 5.6 143 21,663 59Greenville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.7 148 32.5 45 2,976 218 5.7 128 7,285 154Greenville, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.1 92 13.6 264 1,006 271 6.2 83 17,349 71Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 298 35.3 29 2,469 238 5.1 202 7,165 158Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . 15.1 153 20.2 133 1,874 248 4.3 300 9,605 121Hanford-Corcoran, CA. . . . . . . . . . . . . . . . . . . . . . . . . 9.0 255 47.1 9 5,065 175 10.8 4 2,823 265

Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . 9.3 248 22.1 112 11,500 97 4.5 272 9,264 125Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.1 38 15.2 221 7,321 137 3.0 360 2,751 269Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . 15.1 156 14.3 245 17,054 59 5.1 205 14,752 86Hattiesburg, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.1 211 25.7 86 1,739 249 5.2 198 1,168 330Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . 37.2 9 12.8 280 −7,693 354 6.7 58 8,116 138Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 79.7 1 2,924 221 5.5 155 1,296 325

Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . 42.0 7 11.9 307 −1,997 333 5.6 138 8,715 129Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.1 339 34.2 35 −528 309 3.2 355 10,090 118Hot Springs, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.3 208 15.0 225 2,560 234 5.9 109 472 357Houma-Bayou Cane-Thibodaux, LA. . . . . . . . . . . . . . . . 11.2 210 13.4 268 5,886 153 5.1 205 3,254 252Houston-Sugar Land-Baytown, TX. . . . . . . . . . . . . . . . . 13.2 184 9.8 344 182,523 4 6.3 77 177,297 6Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . 12.9 191 18.5 156 4,446 182 5.5 148 960 343

Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.2 76 27.0 69 8,642 118 4.6 255 6,895 167Idaho Falls, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.4 309 14.4 237 5,888 152 3.5 348 3,545 242Indianapolis, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.1 129 12.4 294 46,862 22 4.7 242 64,409 23Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.8 259 41.8 16 19,155 53 3.2 353 5,337 197Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 232 12.5 292 2,926 220 3.6 339 1,590 313Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.4 85 17.8 167 −43 300 7.6 32 3,623 238

See footnotes at end of table.

E–28 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 29: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Metropolitan statistical area

Earnings, 2002—percent by selected major industries Civilianlabor force,2000–2004

Unemployment rate,22004

New private housing unitsauthorized by buildingpermits, 2000–2003Manufacturing Government1

Percent Rank Percent Rank Net change Rank Rate Rank Number Rank

Jackson, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.8 273 21.1 127 11,922 93 5.1 201 12,005 105Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.7 70 18.6 155 −589 311 5.6 145 2,898 261Jacksonville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.7 287 18.4 157 20,115 48 4.8 227 53,614 27Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 344 75.2 2 2,329 242 5.5 153 4,172 222Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 16 12.8 282 1,261 263 5.6 144 3,644 236Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.5 244 36.0 26 2,974 219 4.3 304 2,542 276

Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.0 113 20.2 135 3,865 192 5.4 172 2,595 272Johnstown, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 256 19.5 143 1,022 270 7.0 50 875 345Jonesboro, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.8 107 16.9 184 1,674 252 5.6 139 2,086 283Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 60 11.0 330 2,136 245 5.2 199 2,060 286Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . 27.0 43 15.5 215 −642 312 6.2 85 7,729 147Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 90 15.7 211 −359 307 7.6 30 1,981 292

Kansas City, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 237 14.6 232 35,423 29 6.0 100 57,071 26Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . . . . . 6.7 286 17.9 165 15,736 68 6.3 78 7,059 161Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . 5.9 303 54.8 6 11,990 92 5.7 126 9,865 120Kingsport-Bristol-Bristol, TN-VA. . . . . . . . . . . . . . . . . . . 30.5 28 11.5 317 1,425 260 5.5 149 4,605 215Kingston, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.4 223 26.0 84 3,052 217 4.8 228 2,773 268Knoxville, TN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 163 15.1 222 19,308 52 4.1 315 15,235 84

Kokomo, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 1 10.3 336 −2,954 339 6.4 71 1,792 301La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.8 124 14.4 241 2,113 247 4.2 307 2,594 273Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.0 42 24.6 92 −1,134 318 4.7 244 6,381 178Lafayette, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 299 10.8 332 3,297 210 4.7 243 5,258 200Lake Charles, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.7 95 14.2 248 943 273 5.6 141 4,547 217Lakeland, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 194 15.1 223 17,521 57 5.0 211 21,062 62

Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 55 8.8 357 16,177 65 4.0 325 9,521 122Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . 16.3 141 27.6 61 2,123 246 6.0 104 10,347 114Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.4 342 26.4 79 12,636 82 6.8 55 7,098 159Las Cruces, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.9 315 35.6 28 6,537 143 6.4 72 4,956 209Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . 3.1 332 13.4 270 99,671 10 4.4 290 121,819 10Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.0 254 30.7 49 5,527 157 4.1 313 3,848 229

Lawton, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.6 242 56.5 5 3,207 212 4.5 274 604 355Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.5 64 17.9 164 5,521 158 4.1 318 2,677 270Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.2 152 18.4 159 434 286 5.4 162 609 353Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 155 12.1 302 1,686 251 4.5 273 1,509 316Lexington-Fayette, KY. . . . . . . . . . . . . . . . . . . . . . . . . 20.8 94 16.4 196 −2,261 335 4.1 317 14,917 85Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.5 30 14.2 250 1,067 268 6.6 64 925 344

Lincoln, NE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 178 21.2 124 8,358 120 3.4 350 8,061 140Little Rock-North Little Rock, AR . . . . . . . . . . . . . . . . . . 8.7 262 22.2 110 13,533 76 5.1 207 14,426 87Logan, UT-ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 98 25.0 89 7,648 132 3.9 328 3,322 247Longview, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.8 192 11.7 311 7,110 139 6.0 103 1,129 334Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.5 56 14.5 235 406 287 8.5 15 1,842 298Los Angeles-Long Beach-Santa Ana, CA. . . . . . . . . . . 12.3 197 12.4 295 233,068 1 6.0 101 114,794 11

Louisville, KY-IN 4. . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.6 117 12.2 300 −9,034 355 5.1 204 – 361Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.8 305 22.2 111 9,643 110 4.6 253 7,485 152Lynchburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 35 13.1 277 205 295 4.3 299 5,320 198Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 14.3 243 2,693 228 4.9 223 5,295 199Madera, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 253 22.0 114 8,079 125 8.8 11 3,645 235Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.6 203 24.1 95 22,830 42 3.3 352 21,119 61

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . 20.3 102 9.6 350 10,326 104 3.9 327 8,198 135Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.5 14 16.6 192 353 289 7.2 41 1,964 294McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . 4.9 316 26.7 76 43,139 23 9.1 9 28,062 43Medford, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 251 16.2 201 7,004 141 7.1 46 6,639 172Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . 10.3 226 14.1 253 4,370 183 5.9 107 37,483 37Merced, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 175 20.8 130 8,359 119 10.8 5 6,967 164

Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . . 5.2 311 14.1 251 125,014 7 5.2 191 149,670 7Michigan City-La Porte, IN . . . . . . . . . . . . . . . . . . . . . . 24.6 63 16.4 197 −1,210 320 6.0 96 1,712 307Midland, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4 326 11.7 312 6,096 148 4.5 270 799 347Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . 20.4 101 11.2 327 −4,976 348 5.4 167 23,913 52Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . 14.2 165 12.0 305 86,535 12 4.5 276 98,659 13Missoula, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 297 18.7 154 3,322 208 4.0 326 3,168 255

Mobile, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.7 193 17.3 175 −6,657 353 6.5 69 7,929 143Modesto, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 179 17.1 178 18,076 56 9.1 10 13,530 90Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 185 16.3 198 3,599 200 5.7 131 1,913 296Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.3 22 12.9 279 262 292 6.3 80 4,137 223Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 238 29.3 53 1,293 262 5.5 157 6,172 181Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.5 245 35.2 30 2,621 231 3.8 331 340 358

Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 8 11.3 324 519 285 5.8 116 2,342 279Mount Vernon-Anacortes, WA. . . . . . . . . . . . . . . . . . . . 13.5 177 19.2 152 4,213 185 6.8 54 3,187 254Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22.1 77 19.4 148 −1,891 330 6.0 105 1,614 312Muskegon-Norton Shores, MI . . . . . . . . . . . . . . . . . . . . 27.2 39 16.0 206 3,807 193 7.9 23 3,695 234Myrtle Beach-Conway-North Myrtle Beach, SC . . . . . . . . 5.4 307 13.9 254 12,880 79 5.7 133 17,907 69Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.1 111 13.6 265 5,612 156 4.6 255 3,063 258

Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . 2.3 337 9.6 347 20,876 46 4.0 322 29,230 42Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . 13.1 187 10.8 331 17,091 58 4.3 301 48,085 33New Haven-Milford, CT . . . . . . . . . . . . . . . . . . . . . . . . 14.9 157 13.2 274 15,370 69 5.2 188 7,031 162New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . 7.8 271 17.0 182 −12,170 356 4.6 261 20,117 64New York-Northern New Jersey-Long Island,NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 295 12.3 297 165,555 5 5.7 135 189,222 4Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . 33.2 18 11.8 309 −6,018 351 7.8 26 2,273 280

See footnotes at end of table.

E–29State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 30: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Metropolitan statistical area

Earnings, 2002—percent by selected major industries Civilianlabor force,2000–2004

Unemployment rate,22004

New private housing unitsauthorized by buildingpermits, 2000–2003Manufacturing Government1

Percent Rank Percent Rank Net change Rank Rate Rank Number Rank

Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . 18.6 116 31.9 47 11,520 96 4.4 280 3,774 231Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.7 202 18.0 161 7,839 129 4.6 254 18,161 68Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.9 340 26.1 82 2,445 240 6.9 53 5,760 190Odessa, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.3 227 17.3 172 5,066 174 6.0 99 712 349Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 161 33.0 39 15,113 70 5.3 182 15,863 82Oklahoma City, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . 13.4 180 24.3 94 24,293 39 4.4 282 25,729 49

Olympia, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.0 324 42.2 15 12,632 83 5.7 128 6,627 173Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . 7.5 276 15.1 224 14,626 74 4.3 297 23,314 54Orlando-Kissimee, FL . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 292 11.3 322 67,015 17 4.5 265 102,684 12Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 5 11.9 306 2,913 222 4.5 269 4,947 210Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.9 61 16.8 187 −1,053 317 5.2 195 3,296 249Oxnard-Thousand Oaks-Ventura, CA . . . . . . . . . . . . . . . 16.6 138 16.5 194 23,103 41 5.3 173 13,505 91

Palm Bay-Melbourne-Titusville, FL. . . . . . . . . . . . . . . . . 16.7 137 17.1 177 18,309 55 4.4 281 22,119 58Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . 5.5 306 29.3 54 6,558 142 4.6 252 7,815 145Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . (NA) (NA) 16.1 203 1,068 267 5.9 114 1,031 337Pascagoula, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 15 23.9 97 −2,485 337 6.2 84 3,751 232Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . 5.3 310 33.4 38 9,226 115 4.7 233 13,707 88Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 59 11.5 316 −3,244 343 5.7 125 5,935 186

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . 12.1 200 12.5 293 70,451 15 5.2 189 77,455 19Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . 11.2 209 12.6 288 185,661 3 4.4 279 194,169 3Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 89 27.7 60 1,388 261 7.8 24 657 351Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.9 172 11.2 326 26,554 34 5.8 121 27,015 47Pittsfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.8 133 11.4 319 2,534 236 4.6 257 1,547 315Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.9 190 26.8 75 1,565 255 4.8 229 1,307 324

Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . 9.4 246 17.3 174 16,533 62 3.6 341 13,246 94Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . 15.5 151 13.3 272 16,729 60 7.2 43 57,253 25Port St. Lucie-Fort Pierce, FL . . . . . . . . . . . . . . . . . . . . 5.4 308 15.4 217 21,639 44 5.7 134 23,275 55Poughkeepsie-Newburgh-Middletown, NY. . . . . . . . . . . . 16.7 134 22.7 107 18,351 54 4.4 284 12,379 100Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.1 300 21.6 121 11,384 98 4.3 303 10,787 110Providence-New Bedford-Fall River, RI-MA . . . . . . . . . . . 16.0 144 16.7 188 28,480 33 5.5 157 16,734 79

Provo-Orem, UT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12.5 195 14.6 233 12,168 91 4.8 224 15,869 81Pueblo, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.6 220 22.7 108 4,917 178 7.2 40 5,073 207Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 336 13.7 262 5,356 160 5.0 212 8,310 132Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 11 12.8 281 921 275 6.0 98 3,804 230Raleigh-Cary, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.9 236 17.1 176 31,195 30 4.4 292 52,322 30Rapid City, SD. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7.1 283 26.3 80 4,155 187 3.3 351 3,061 259

Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.4 65 11.3 323 3,117 216 5.3 177 7,952 141Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 313 20.2 134 8,721 117 7.4 34 4,693 213Reno-Sparks, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8.1 269 14.7 230 11,642 94 4.0 323 19,277 67Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.4 224 19.4 145 36,023 28 3.9 329 34,333 40Riverside-San Bernardino-Ontario, CA . . . . . . . . . . . . . . 10.6 219 21.5 122 227,378 2 5.7 130 123,639 9Roanoke, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 13.7 263 −315 304 3.7 338 6,513 177

Rochester, MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.2 103 9.3 355 8,187 124 4.1 316 7,802 146Rochester, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.1 68 14.2 249 −4,793 347 5.3 176 12,702 97Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.8 27 10.6 334 −5,400 349 7.7 28 8,154 137Rocky Mount, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.3 66 16.7 190 392 288 7.3 37 3,271 250Rome, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.7 45 14.2 247 3,884 191 4.6 257 2,057 287Sacramento-Arden-Arcade-Roseville, CA . . . . . . . . . . . . 7.2 282 28.7 58 98,069 11 5.4 171 80,158 18

Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . 31.6 26 12.6 287 −343 306 8.7 13 2,831 264St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.3 109 15.4 219 5,028 176 4.7 238 6,705 171St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.0 301 14.8 228 11,318 99 4.4 285 8,185 136St. Joseph, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . 18.1 119 17.5 170 5,145 172 5.9 108 1,131 333St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 12.8 283 25,391 37 6.0 106 53,225 29Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.2 252 30.4 50 7,203 138 7.4 33 7,413 153

Salinas, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.1 314 21.8 119 8,353 121 8.2 20 5,347 196Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.8 218 21.2 126 4,054 188 4.7 241 3,636 237Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 230 15.6 213 13,744 75 5.4 169 27,273 46San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 233 27.5 65 1,577 254 4.9 220 1,012 339San Antonio, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.5 293 22.9 104 64,002 18 5.6 136 50,728 32San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . 9.9 235 22.8 106 113,684 9 4.7 234 62,712 24

Sandusky, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.1 23 13.9 257 1,548 256 6.3 74 1,095 336San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . 8.2 268 12.6 286 −104,663 360 5.6 146 53,583 28San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . 29.3 32 7.6 359 −113,545 361 6.7 61 25,202 51San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . 6.6 290 21.1 128 8,236 122 4.4 289 7,869 144Santa Barbara-Santa Maria, CA . . . . . . . . . . . . . . . . . . 9.4 247 19.8 138 11,566 95 4.7 240 5,050 208Santa Cruz-Watsonville, CA . . . . . . . . . . . . . . . . . . . . . 9.6 241 16.1 204 −3,119 342 7.0 48 2,819 266

Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.6 334 26.0 83 5,169 170 4.3 296 2,097 282Santa Rosa-Petaluma, CA . . . . . . . . . . . . . . . . . . . . . . 15.8 146 13.5 267 3,469 202 4.9 217 9,268 124Sarasota-Bradenton-Venice, FL . . . . . . . . . . . . . . . . . . 8.4 265 9.6 349 26,347 35 4.1 319 35,969 39Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 160 19.7 140 12,549 87 4.0 320 10,447 112Scranton-Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . 17.8 123 14.2 246 5,144 173 6.5 70 5,447 194Seattle-Tacoma-Bellevue, WA. . . . . . . . . . . . . . . . . . . 14.1 166 14.4 240 54,877 20 5.6 137 84,921 16

Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 3 9.8 342 139 297 4.4 283 2,579 274Sherman-Denison, TX. . . . . . . . . . . . . . . . . . . . . . . . . 24.3 67 12.5 291 868 276 6.2 88 1,162 332Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . 10.8 213 23.8 98 3,310 209 6.1 95 5,661 191Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 12.2 301 −2,850 338 5.2 194 1,635 311Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.2 228 9.4 353 8,033 127 3.2 354 9,347 123South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . 23.5 73 10.7 333 −1,515 325 5.0 215 6,005 183

See footnotes at end of table.

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Table E-16. Metropolitan Area Rankings — Economic Indicators—Con.

Metropolitan statistical area

Earnings, 2002—percent by selected major industries Civilianlabor force,2000–2004

Unemployment rate,22004

New private housing unitsauthorized by buildingpermits, 2000–2003Manufacturing Government1

Percent Rank Percent Rank Net change Rank Rate Rank Number Rank

Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 19 13.9 256 1,735 250 7.6 29 7,206 157Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.1 231 20.3 132 13,084 78 6.5 67 8,933 128Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.4 327 32.8 41 −3,068 341 5.5 152 3,853 228Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 164 19.6 141 7,355 136 5.3 184 5,978 185Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.1 154 13.2 275 12,204 90 4.5 267 12,098 104Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.3 58 16.0 207 −1,459 323 6.8 56 1,124 335

State College, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.5 221 42.4 14 3,785 194 4.4 287 3,448 244Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10.0 234 19.9 137 26,032 36 8.5 16 22,915 56Sumter, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 86 36.4 25 1,041 269 8.1 22 1,709 308Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16.3 140 17.0 180 2,913 222 5.5 160 6,799 170Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2.5 335 40.0 18 1,108 265 4.0 324 12,150 103Tampa-St. Petersburg-Clearwater, FL. . . . . . . . . . . . . . . 7.4 279 13.0 278 68,868 16 4.6 263 93,881 15

Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.7 80 19.4 147 109 298 7.1 47 1,724 306Texarkana, TX-Texarkana, AR. . . . . . . . . . . . . . . . . . . . 13.0 189 23.1 101 2,686 229 5.8 120 1,700 309Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23.5 72 15.5 214 162 296 7.0 49 11,204 109Topeka, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9.3 249 23.4 100 5,272 163 6.1 94 4,613 214Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . 4.4 322 24.0 96 10,326 104 4.2 306 5,254 201Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 181 24.6 90 29,961 32 4.6 248 30,308 41

Tulsa, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.0 93 9.6 348 3,424 204 5.0 214 16,859 77Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.2 91 24.6 91 1,517 257 4.9 219 4,416 219Tyler, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 182 12.5 289 7,856 128 5.3 179 2,368 278Utica-Rome, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.2 183 25.4 88 −671 313 5.3 185 1,779 302Valdosta, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 34.3 34 5,261 164 3.5 346 3,356 245Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 9.3 250 29.2 56 9,547 112 5.9 113 9,917 119

Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.2 296 13.1 276 5,208 168 6.6 65 8,227 133Victoria, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . (NA) (NA) 14.4 238 337 290 5.8 119 1,026 338Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . . . . . . . . . 19.4 108 25.8 85 3,162 214 6.6 62 1,195 329Virginia Beach-Norfolk-Newport News, VA-NC . . . . . . . . . (NA) (NA) 38.3 20 58,254 19 4.1 311 36,809 38Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . 8.9 258 22.9 103 10,579 103 11.5 3 7,662 148Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.0 120 17.3 173 6,530 144 5.3 180 3,321 248

Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . 6.6 289 61.1 3 5,838 154 3.8 333 6,614 174Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . (NA) (NA) 27.6 64 140,347 6 3.7 337 149,060 8Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . 26.6 47 15.6 212 2,431 241 4.8 231 2,560 275Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.1 37 10.6 335 2,474 237 4.3 298 4,193 221Weirton-Steubenville, WV-OH . . . . . . . . . . . . . . . . . . . . 32.6 20 12.5 290 −992 316 7.8 27 673 350Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5.9 302 21.2 125 4,856 179 6.7 57 2,037 288

Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 188 17.0 181 −1,585 326 6.0 96 184 360Wichita, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.5 21 12.7 284 7,049 140 6.2 87 12,374 101Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.0 170 34.5 32 2,712 227 5.2 196 1,656 310Williamsport, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 34 16.8 186 1,502 259 6.2 82 1,345 321Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.1 211 19.4 144 12,608 86 4.6 245 20,502 63Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 52 11.6 314 5,257 165 3.2 355 4,090 224

Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . 19.8 106 9.5 352 7,720 131 5.0 210 13,344 93Worcester, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17.5 126 14.4 239 12,785 80 5.5 156 12,592 98Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.4 205 19.3 149 6,389 145 8.6 14 2,078 285York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.5 31 11.4 320 7,571 133 4.6 250 10,298 115Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . 27.2 40 13.8 259 −2,960 340 7.2 39 5,999 184Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6.4 294 32.9 40 3,554 201 10.2 7 3,608 240Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3.2 329 28.2 59 9,568 111 15.4 2 6,239 180

– Represents zero. NA Not available.

1Includes government enterprises.2Civilian unemployed as percent of total civilian labor force.3The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15,

2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county whendata are available to do so. In many cases, the data will not be available.

4Excludes Trimble County, KY.5The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis, MO-IL MSA.

Sources: U.S. Bureau of Economic Analysis, U.S. Bureau of Labor Statistics, and U.S. Census Bureau. For more information, see <http://www.bea.gov/bea/regional/reis/>,<http://www.bls.gov/lau>, and <http://www.census.gov/popest/housing/>. See Tables B-7, B-8, and B-9 of the State and Metropolitan Area Data Book: 2006.

E–31State and Metropolitan Area Data Book: 2006U.S. Census Bureau

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Table E-17. Metropolitan Area Rankings — Business and Federal Funds

Metropolitan statistical area

Private nonfarm businessestablishments

Retail trade1 (NAICS 44–55),sales 2002

Accommodationand

food services1

(NAICS 72),sales 2002

Federal funds and grants,2003

Estab-lishmentchange,

2000–2003 Rank

Annualpayroll

per em-ployee,

2002(dol-lars) Rank

Percapita2

(dol-lars) Rank

Percentchange,

1997–2002 Rank

Percapita2

(dol-lars) Rank

Totalexpen-ditures(milliondollars) Rank

Percapita3

(dol-lars) Rank

Abilene, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −102 340 23,141 349 11,361 134 17.7 261 1,232 199 1,098 208 6,941 92Akron, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 109 33,118 72 10,683 196 12.7 313 1,272 186 3,706 92 5,286 227Albany, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 199 27,068 250 9,104 317 6.4 344 (NA) (NA) 1,142 201 7,057 89Albany-Schenectady-Troy, NY . . . . . . . . . . . . . . . . . . . 465 55 33,012 74 11,225 142 28.3 98 1,311 166 13,954 25 16,600 3Albuquerque, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 151 29,893 150 11,732 105 23.1 161 1,615 84 7,472 49 9,747 33Alexandria, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 218 25,561 308 10,398 224 22.2 177 (NA) (NA) 1,092 209 7,465 79

Allentown-Bethlehem-Easton, PA-NJ . . . . . . . . . . . . . . . 360 70 33,849 58 10,680 197 24.2 143 1,105 262 3,722 91 4,838 285Altoona, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −30 297 25,870 300 13,277 35 27.3 105 1,213 211 825 264 6,471 124Amarillo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −15 280 28,006 204 12,324 67 18.6 237 1,462 120 1,468 177 6,286 134Ames, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −31 301 24,796 323 9,909 272 26.7 115 1,374 150 489 340 6,087 151Anchorage, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304 85 42,496 9 13,210 39 22.4 170 2,448 21 3,379 99 9,959 31Anderson, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −87 336 27,403 237 9,678 289 13.7 299 1,076 274 710 290 5,414 211

Anderson, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71 192 27,213 243 9,736 286 22.9 165 1,029 292 770 275 4,481 312Ann Arbor, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 225 41,491 10 12,247 73 20.7 208 1,540 105 1,944 150 5,789 181Anniston-Oxford, AL . . . . . . . . . . . . . . . . . . . . . . . . . . 4 260 25,003 319 10,413 221 18.2 245 1,177 228 1,071 214 9,554 35Appleton, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 137 32,127 93 13,712 27 31.9 66 1,300 172 746 280 3,537 355Asheville, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393 66 26,716 264 12,092 86 23.1 162 1,854 48 2,243 131 5,863 175Athens-Clarke County, GA . . . . . . . . . . . . . . . . . . . . . . 206 110 25,608 307 10,414 220 26.9 111 1,373 151 870 255 5,067 250

Atlanta-Sandy Springs-Marietta, GA. . . . . . . . . . . . . . . . 4,148 6 38,356 22 11,658 112 27.8 103 1,777 56 21,496 15 4,668 300Atlantic City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156 130 29,592 155 12,768 53 31.7 67 18,767 1 1,601 172 6,069 154Auburn-Opelika, AL . . . . . . . . . . . . . . . . . . . . . . . . . . 85 175 24,053 337 8,617 336 30.8 77 1,186 224 461 343 3,872 347Augusta-Richmond County, GA-SC . . . . . . . . . . . . . . . . 87 173 30,887 122 9,666 290 23.5 159 1,081 272 4,864 64 9,529 36Austin-Round Rock, TX . . . . . . . . . . . . . . . . . . . . . . . . 1,540 21 38,111 23 15,612 5 11.4 323 1,837 51 9,517 36 6,913 94Bakersfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375 68 30,746 127 8,082 346 32.6 61 927 315 3,856 84 5,405 213

Baltimore-Towson, MD . . . . . . . . . . . . . . . . . . . . . . . . 1,445 22 36,431 33 10,906 174 30.6 80 1,504 114 22,639 13 8,617 49Bangor, ME. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −7 276 27,924 208 14,212 18 26.2 119 1,266 188 963 236 6,506 120Barnstable Town, MA . . . . . . . . . . . . . . . . . . . . . . . . . 257 96 31,479 113 14,911 12 34.7 46 3,327 13 1,768 161 7,716 70Baton Rouge, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227 105 30,399 139 9,552 295 14.7 292 1,100 265 4,460 68 6,181 140Battle Creek, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −30 297 33,473 65 10,080 261 12.9 310 1,161 237 971 231 6,992 91Bay City, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 253 30,078 148 11,670 111 16.2 277 1,158 240 583 317 5,322 222

Beaumont-Port Arthur, TX . . . . . . . . . . . . . . . . . . . . . . −98 337 30,638 132 10,873 178 20.0 220 1,047 288 2,342 125 6,117 148Bellingham, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 115 29,662 154 10,205 241 6.2 345 1,412 139 879 248 4,978 268Bend, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457 57 27,299 239 14,836 13 43.7 22 2,125 28 532 330 4,108 330Billings, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 139 27,071 249 14,079 22 24.0 145 2,040 33 781 273 5,460 208Binghamton, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 242 27,827 217 9,763 283 24.0 147 1,161 237 1,890 152 7,541 77Birmingham-Hoover, AL. . . . . . . . . . . . . . . . . . . . . . . . 233 103 33,683 61 11,611 116 23.7 154 1,201 215 6,441 54 5,997 158

Bismarck, ND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 182 26,888 260 13,205 40 25.7 127 1,470 119 789 271 8,138 61Blacksburg-Christiansburg-Radford, VA . . . . . . . . . . . . . 79 186 26,983 255 9,190 314 18.5 238 1,190 220 790 270 5,235 233Bloomington, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −4 272 25,449 310 9,221 311 22.3 173 1,397 144 872 254 4,928 277Bloomington-Normal, IL . . . . . . . . . . . . . . . . . . . . . . . . −6 275 37,082 28 11,220 143 18.2 246 1,563 98 529 332 3,374 357Boise City-Nampa, ID . . . . . . . . . . . . . . . . . . . . . . . . . 746 33 30,840 123 10,455 217 22.3 175 1,219 209 2,543 120 4,970 270Boston-Cambridge-Quincy, MA-NH. . . . . . . . . . . . . . . 273 90 45,709 5 11,977 93 23.7 155 1,961 41 35,269 6 7,961 65

Boulder, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −542 357 40,589 14 12,448 61 (NA) (NA) 1,938 43 1,864 154 6,718 108Bowling Green, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 197 26,830 263 11,972 94 12.6 314 (NA) (NA) 539 326 5,016 260Bremerton-Silverdale, WA . . . . . . . . . . . . . . . . . . . . . . 326 75 27,229 242 9,507 299 31.6 69 986 304 2,809 109 11,718 18Bridgeport-Stamford-Norwalk, CT . . . . . . . . . . . . . . . . . −202 354 56,000 2 15,569 7 20.5 213 1,529 106 5,778 57 6,422 126Brownsville-Harlingen, TX . . . . . . . . . . . . . . . . . . . . . . 250 99 20,372 360 7,808 349 44.8 18 1,052 284 1,665 168 4,596 307Brunswick, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 210 24,090 335 11,755 103 32.6 60 3,707 8 682 294 7,043 90

Buffalo-Niagara Falls, NY. . . . . . . . . . . . . . . . . . . . . . . 412 63 30,621 133 10,050 265 20.9 207 1,229 201 7,532 48 6,504 121Burlington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −40 308 26,162 287 12,018 89 30.9 76 1,436 132 585 316 4,279 320Burlington-South Burlington, VT . . . . . . . . . . . . . . . . . . 576 47 33,430 66 14,172 19 31.1 73 1,656 74 1,538 173 7,560 75Canton-Massillon, OH . . . . . . . . . . . . . . . . . . . . . . . . . −151 351 28,198 194 10,446 218 12.4 318 1,135 253 1,994 144 4,860 282Cape Coral-Fort Myers, FL. . . . . . . . . . . . . . . . . . . . . . 1,375 23 28,422 188 13,386 34 45.8 15 1,766 58 2,615 115 5,310 225Carson City, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −69 326 30,207 146 15,786 2 26.9 110 2,019 37 648 301 11,722 17

Casper, WY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 207 28,243 191 12,979 44 35.7 38 1,449 126 351 360 5,145 241Cedar Rapids, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 163 31,298 115 12,115 81 26.8 114 1,187 223 1,458 178 6,008 157Champaign-Urbana, IL . . . . . . . . . . . . . . . . . . . . . . . . 62 203 27,601 229 10,109 259 21.1 205 1,424 133 1,081 212 5,041 255Charleston, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −162 353 29,301 163 10,936 173 10.7 328 1,268 187 2,645 114 8,604 51Charleston-North Charleston, SC . . . . . . . . . . . . . . . . . 590 45 27,869 213 11,029 161 37.0 35 2,126 27 4,368 69 7,631 73Charlotte-Gastonia-Concord, NC-SC . . . . . . . . . . . . . . . 1,129 25 36,636 30 12,150 78 28.1 102 1,604 87 5,580 58 3,877 346

Charlottesville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . 232 104 30,515 136 11,627 113 35.1 42 2,024 36 1,106 207 6,150 145Chattanooga, TN-GA . . . . . . . . . . . . . . . . . . . . . . . . . −69 326 28,839 177 10,696 193 21.6 190 1,314 165 3,474 96 7,140 87Cheyenne, WY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 160 26,133 288 14,313 16 39.2 29 1,668 71 994 224 11,784 16Chicago-Naperville-Joliet, IL-IN-WI . . . . . . . . . . . . . . . 2,515 15 40,878 13 10,824 183 24.6 139 1,681 70 46,091 4 4,940 275Chico, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161 129 24,066 336 9,714 287 34.9 43 1,067 277 1,191 195 5,639 190Cincinnati-Middletown, OH-KY-IN . . . . . . . . . . . . . . . . . 217 107 34,824 46 10,574 204 18.1 247 (NA) (NA) 11,587 29 5,661 187

Clarksville, TN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 220 23,839 340 8,933 328 20.5 210 1,050 286 2,494 122 10,559 26Cleveland, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −4 272 27,620 228 8,517 337 13.5 303 1,016 295 494 338 4,647 304Cleveland-Elyria-Mentor, OH . . . . . . . . . . . . . . . . . . . . −616 358 35,139 41 11,070 157 19.9 223 1,356 155 12,708 27 5,937 167Coeur d’Alene, ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 240 26,233 284 11,265 138 25.9 125 1,944 42 608 310 5,168 238College Station-Bryan, TX . . . . . . . . . . . . . . . . . . . . . . 183 119 24,719 326 9,368 303 18.7 235 1,420 136 2,029 143 10,791 24Colorado Springs, CO . . . . . . . . . . . . . . . . . . . . . . . . . 687 41 31,919 101 10,991 166 21.6 191 1,891 46 5,294 60 9,296 39

Columbia, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 216 26,601 271 12,004 90 19.4 226 1,580 95 770 275 5,128 245Columbia, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80 184 29,400 161 10,149 252 16.6 272 1,297 173 4,844 65 7,218 85Columbus, GA-AL . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 203 26,593 272 9,548 296 21.6 189 1,359 153 2,562 117 9,231 42Columbus, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −118 347 36,219 34 10,186 250 7.5 342 1,319 163 370 359 5,111 247Columbus, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,002 28 34,907 45 12,238 74 17.1 267 1,661 72 10,399 33 6,201 139Corpus Christi, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 175 27,916 210 9,560 294 18.7 236 1,459 122 2,723 112 6,702 109

See footnotes at end of table.

E–32 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 33: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Metropolitan statistical area

Private nonfarm businessestablishments

Retail trade1 (NAICS 44–55),sales 2002

Accommodationand

food services1

(NAICS 72),sales 2002

Federal funds and grants,2003

Estab-lishmentchange,

2000–2003 Rank

Annualpayroll

per em-ployee,

2002(dol-lars) Rank

Percapita2

(dol-lars) Rank

Percentchange,

1997–2002 Rank

Percapita2

(dol-lars) Rank

Totalexpen-ditures(milliondollars) Rank

Percapita3

(dol-lars) Rank

Corvallis, OR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 201 34,268 51 6,811 358 13.6 302 1,228 203 393 357 4,967 271Cumberland, MD-WV . . . . . . . . . . . . . . . . . . . . . . . . . −15 280 24,836 321 9,065 320 13.7 300 1,193 217 713 288 7,063 88Dallas-Fort Worth-Arlington, TX . . . . . . . . . . . . . . . . . 3,453 9 39,359 18 11,383 132 24.7 138 (NA) (NA) 32,528 7 5,823 179Dalton, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . – 266 30,650 131 11,619 114 18.0 249 1,140 249 436 348 3,422 356Danville, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −19 286 27,506 232 8,618 335 12.3 319 873 326 529 332 6,386 131Danville, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 258 25,201 316 8,984 324 10.6 329 934 312 611 309 5,621 193

Davenport-Moline-Rock Island, IA-IL . . . . . . . . . . . . . . . −101 339 31,101 120 10,964 170 10.6 331 1,897 45 2,115 135 5,642 189Dayton, OH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −130 349 32,342 89 10,943 171 15.8 279 1,396 146 6,884 52 8,141 60Decatur, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 230 27,906 211 9,257 308 8.2 340 938 310 743 283 5,039 258Decatur, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −48 311 31,668 108 11,344 135 13.1 308 1,177 228 599 312 5,384 216Deltona-Daytona Beach-Ormond Beach, FL . . . . . . . . . . 444 60 24,012 338 10,260 235 21.3 196 1,599 90 2,878 107 6,155 143Denver-Aurora, CO4 . . . . . . . . . . . . . . . . . . . . . . . . . . 2,614 14 39,322 19 12,296 71 (NA) (NA) 1,922 44 12,714 26 5,523 200

Des Moines, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 82 34,027 55 12,459 60 22.2 178 1,481 117 2,986 104 5,930 171Detroit-Warren-Livonia, MI . . . . . . . . . . . . . . . . . . . . . −250 356 41,443 12 11,558 122 15.6 283 1,266 188 24,590 10 5,480 207Dothan, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 213 26,187 285 12,904 47 15.0 291 1,077 273 879 248 6,581 118Dover, DE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 238 26,545 277 13,061 42 29.7 90 1,163 235 1,159 199 8,609 50Dubuque, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −28 295 27,073 248 12,232 75 17.0 269 1,289 178 438 347 4,843 284Duluth, MN-WI. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 205 27,494 234 10,997 165 23.8 153 1,601 89 1,786 157 6,463 125

Durham, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 131 39,256 20 9,355 305 23.3 160 1,657 73 3,391 97 7,613 74Eau Claire, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 175 27,195 245 12,796 52 26.8 113 1,220 208 702 291 4,639 305El Centro, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 216 25,370 311 9,234 309 36.0 37 870 327 766 278 5,143 242Elizabethtown, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . 104 158 26,183 286 10,612 202 22.9 166 1,273 183 1,013 222 9,293 40Elkhart-Goshen, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 170 31,994 99 10,394 225 −2.1 358 1,210 214 594 315 3,145 359Elmira, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 253 26,569 275 11,489 126 19.1 229 1,152 243 539 326 5,973 162

El Paso, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 167 23,411 347 8,373 339 23.6 157 1,113 261 4,318 70 6,145 146Erie, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −156 352 28,066 200 10,895 176 20.1 219 1,135 253 1,513 174 5,345 219Eugene-Springfield, OR. . . . . . . . . . . . . . . . . . . . . . . . −105 342 29,030 173 11,376 133 12.0 321 1,421 135 1,741 164 5,273 229Evansville, IN-KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . −86 335 30,542 134 11,895 98 20.5 211 1,602 88 1,888 153 5,448 209Fairbanks, AK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 171 35,531 39 13,126 41 19.9 222 1,829 52 1,142 201 13,403 11Fargo, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177 123 27,817 218 14,169 20 17.9 253 1,510 110 902 244 5,040 256

Farmington, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101 159 28,657 182 10,325 231 25.0 134 1,146 246 575 319 4,699 299Fayetteville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 255 25,048 318 9,069 319 17.4 264 1,096 268 4,296 71 12,461 15Fayetteville-Springdale-Rogers, AR-MO . . . . . . . . . . . . . 513 52 28,697 181 10,324 232 46.2 13 1,186 224 1,396 183 3,689 351Flagstaff, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150 133 24,631 328 11,174 147 24.0 149 3,538 10 799 268 6,596 116Flint, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −120 348 33,644 63 11,401 129 11.2 326 1,004 299 2,292 128 5,178 236Florence, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 244 27,199 244 11,207 144 15.7 281 1,056 282 1,120 204 5,703 186

Florence-Muscle Shoals, AL . . . . . . . . . . . . . . . . . . . . . −39 307 23,553 345 10,748 188 16.5 273 966 308 940 240 6,633 113Fond du Lac, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . −25 292 28,632 183 10,519 211 15.5 285 1,144 247 424 350 4,317 317Fort Collins-Loveland, CO . . . . . . . . . . . . . . . . . . . . . . 483 53 31,617 110 11,996 92 29.7 91 1,806 54 1,088 210 4,082 335Fort Smith, AR-OK . . . . . . . . . . . . . . . . . . . . . . . . . . . 113 153 25,642 306 8,987 323 15.4 286 917 317 1,482 176 5,297 226Fort Walton Beach-Crestview-Destin, FL. . . . . . . . . . . . . 108 157 25,798 301 14,131 21 41.1 25 2,040 33 2,940 105 16,532 4Fort Wayne, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 118 32,397 88 11,207 144 13.5 304 1,295 174 1,979 147 4,945 274

Fresno, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 90 29,157 167 8,724 331 30.2 85 990 303 4,074 76 4,789 292Gadsden, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 250 23,601 344 8,858 330 23.6 156 996 301 627 307 6,081 152Gainesville, FL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 145 26,290 283 10,199 243 22.5 169 1,405 140 1,420 181 5,982 161Gainesville, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169 124 30,753 126 9,834 280 20.3 215 1,308 169 566 322 3,619 352Glens Falls, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 243 27,640 226 11,937 96 34.4 47 1,872 47 636 303 5,016 260Goldsboro, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −2 267 24,535 329 9,049 321 −0.9 357 914 318 904 243 7,971 64

Grand Forks, ND-MN . . . . . . . . . . . . . . . . . . . . . . . . . 3 264 24,883 320 13,791 26 15.2 288 1,403 141 796 269 8,315 55Grand Junction, CO . . . . . . . . . . . . . . . . . . . . . . . . . . 46 221 27,293 240 13,603 29 44.2 19 1,477 118 641 302 5,140 244Grand Rapids-Wyoming, MI . . . . . . . . . . . . . . . . . . . . . 577 46 33,819 59 12,104 84 25.0 135 1,137 252 2,936 106 3,849 348Great Falls, MT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −54 316 22,877 352 12,683 55 26.0 123 1,625 79 768 277 9,629 34Greeley, CO4. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352 71 31,914 102 8,187 342 (NA) (NA) 775 335 652 299 3,077 360Green Bay, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112 154 32,517 85 11,696 108 18.2 243 1,273 183 1,142 201 3,912 342

Greensboro-High Point, NC . . . . . . . . . . . . . . . . . . . . . −85 334 30,834 124 11,765 102 16.3 276 1,459 122 3,184 103 4,809 289Greenville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 209 25,662 305 11,079 156 21.1 206 1,246 195 724 285 4,566 308Greenville, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −215 355 32,068 95 10,227 240 7.5 341 1,276 181 2,791 110 4,828 286Gulfport-Biloxi, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 247 25,531 309 10,168 251 33.9 51 6,371 4 2,462 123 9,863 32Hagerstown-Martinsburg, MD-WV . . . . . . . . . . . . . . . . . 148 134 27,905 212 10,798 187 36.9 36 1,162 236 1,326 185 5,573 198Hanford-Corcoran, CA. . . . . . . . . . . . . . . . . . . . . . . . . 52 215 26,959 256 5,378 360 15.0 290 644 344 777 274 5,600 196

Harrisburg-Carlisle, PA . . . . . . . . . . . . . . . . . . . . . . . . 66 198 31,745 106 12,611 57 17.9 251 1,609 85 5,972 55 11,546 20Harrisonburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 137 26,395 281 12,432 62 30.6 79 1,346 159 399 355 3,607 353Hartford-West Hartford-East Hartford, CT . . . . . . . . . . . . −74 330 41,444 11 10,883 177 16.3 275 1,396 146 10,751 32 9,112 43Hattiesburg, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 230 24,440 331 11,148 149 21.3 195 1,126 256 664 298 5,171 237Hickory-Lenoir-Morganton, NC . . . . . . . . . . . . . . . . . . . 1 265 26,640 268 10,190 248 21.1 204 1,069 276 1,505 175 4,293 318Hinesville-Fort Stewart, GA . . . . . . . . . . . . . . . . . . . . . 20 249 22,582 355 4,590 361 25.3 130 622 346 340 361 4,815 287

Holland-Grand Haven, MI . . . . . . . . . . . . . . . . . . . . . . 21 247 33,002 75 8,693 333 11.5 322 881 325 801 267 3,211 358Honolulu, HI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315 80 31,756 105 9,948 268 6.7 343 3,337 12 9,056 39 10,137 30Hot Springs, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 155 23,446 346 12,301 70 26.4 117 1,757 59 628 306 6,890 98Houma-Bayou Cane-Thibodaux, LA. . . . . . . . . . . . . . . . 119 152 29,887 151 9,335 306 12.1 320 1,013 296 979 229 4,954 272Houston-Sugar Land-Baytown, TX. . . . . . . . . . . . . . . . . 2,816 13 40,435 15 10,529 209 30.4 83 1,437 131 24,184 11 4,767 294Huntington-Ashland, WV-KY-OH . . . . . . . . . . . . . . . . . . −84 333 26,954 257 10,199 243 21.2 199 1,102 263 1,982 145 6,906 96

Huntsville, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 115 34,183 53 10,847 182 27.0 109 1,376 149 7,124 51 19,921 1Idaho Falls, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166 126 29,485 158 12,311 68 30.2 85 1,142 248 1,421 180 13,223 12Indianapolis, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 649 42 35,727 36 12,126 79 19.2 227 1,682 69 9,500 37 5,935 168Iowa City, IA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 251 27,790 221 10,525 210 23.9 151 1,506 113 746 280 5,482 206Ithaca, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 227 26,472 280 8,181 343 30.5 81 1,597 92 607 311 6,108 150Jackson, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 230 31,279 116 9,606 292 20.1 216 986 304 723 286 4,446 313

See footnotes at end of table.

E–33State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 34: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Metropolitan statistical area

Private nonfarm businessestablishments

Retail trade1 (NAICS 44–55),sales 2002

Accommodationand

food services1

(NAICS 72),sales 2002

Federal funds and grants,2003

Estab-lishmentchange,

2000–2003 Rank

Annualpayroll

per em-ployee,

2002(dol-lars) Rank

Percapita2

(dol-lars) Rank

Percentchange,

1997–2002 Rank

Percapita2

(dol-lars) Rank

Totalexpen-ditures(milliondollars) Rank

Percapita3

(dol-lars) Rank

Jackson, MS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295 86 28,056 201 11,136 151 25.1 132 1,289 178 3,792 87 7,431 81Jackson, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −38 306 29,186 166 13,430 33 13.3 307 1,452 124 578 318 5,278 228Jacksonville, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,761 20 31,220 118 11,598 119 30.6 78 1,575 97 8,597 41 7,180 86Jacksonville, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . −50 312 19,223 361 9,622 291 32.2 65 1,138 250 2,079 137 13,720 10Janesville, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65 199 33,167 71 11,384 131 9.6 332 1,193 217 745 282 4,811 288Jefferson City, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 181 26,492 279 12,114 82 46.9 12 1,067 277 1,793 156 12,524 14

Johnson City, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 255 25,159 317 10,265 234 30.3 84 1,102 263 1,720 165 9,236 41Johnstown, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −2 267 23,891 339 9,332 307 12.7 311 860 330 1,204 194 8,047 62Jonesboro, AR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 207 24,355 332 10,869 180 22.0 184 1,098 266 623 308 5,658 188Joplin, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 125 25,755 302 11,684 110 29.5 92 1,177 228 952 238 5,865 174Kalamazoo-Portage, MI . . . . . . . . . . . . . . . . . . . . . . . . −104 341 33,084 73 10,121 258 11.3 324 1,261 192 1,435 179 4,488 311Kankakee-Bradley, IL . . . . . . . . . . . . . . . . . . . . . . . . . 31 237 28,196 195 10,495 215 21.9 185 1,063 280 523 334 4,920 278

Kansas City, MO-KS . . . . . . . . . . . . . . . . . . . . . . . . . . 447 59 35,091 44 11,585 121 18.7 234 1,697 66 11,732 28 6,155 143Kennewick-Richland-Pasco, WA . . . . . . . . . . . . . . . . . . 202 112 34,480 50 11,039 159 32.4 63 1,149 245 3,225 101 15,342 6Killeen-Temple-Fort Hood, TX . . . . . . . . . . . . . . . . . . . . 145 135 26,077 290 8,710 332 40.5 26 936 311 3,882 83 11,285 21Kingsport-Bristol-Bristol, TN-VA. . . . . . . . . . . . . . . . . . . −105 342 29,244 164 9,878 275 13.9 298 748 340 1,776 159 5,918 173Kingston, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239 102 25,980 293 10,188 249 43.8 21 1,512 109 863 257 4,758 295Knoxville, TN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −12 279 30,745 128 13,463 32 17.9 255 1,577 96 6,524 53 10,183 29

Kokomo, IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 206 37,747 25 12,431 63 16.8 271 1,423 134 485 342 4,788 293La Crosse, WI-MN . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 194 27,509 231 12,522 59 4.8 349 1,350 157 630 305 4,900 279Lafayette, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −33 302 30,101 147 11,081 155 21.3 198 1,401 143 743 283 4,105 331Lafayette, LA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254 97 28,620 184 11,997 91 9.4 333 1,727 62 1,030 219 4,221 325Lake Charles, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 228 27,996 206 10,688 195 26.2 120 2,080 32 1,076 213 5,548 199Lakeland, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198 114 28,372 189 9,041 322 17.6 262 905 320 2,549 119 4,990 266

Lancaster, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 127 30,538 135 11,240 141 15.1 289 1,229 201 1,972 149 4,083 334Lansing-East Lansing, MI . . . . . . . . . . . . . . . . . . . . . . 134 142 32,410 87 11,241 140 17.8 259 1,287 180 4,231 72 9,315 38Laredo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252 98 21,194 359 9,845 278 33.5 56 1,164 234 896 247 4,213 326Las Cruces, NM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 236 21,954 356 7,012 356 18.2 241 870 327 1,241 190 6,799 103Las Vegas-Paradise, NV . . . . . . . . . . . . . . . . . . . . . . . 2,936 12 31,171 119 12,734 54 56.7 2 10,846 2 7,170 50 4,552 309Lawrence, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 234 23,125 350 8,647 334 15.7 280 1,547 104 398 356 3,903 344

Lawton, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −55 318 23,831 341 8,059 347 30.2 87 1,087 270 1,287 188 11,664 19Lebanon, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −2 267 27,573 230 10,544 207 6.1 346 772 336 747 279 6,070 153Lewiston, ID-WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . −51 313 28,181 196 11,959 95 10.6 330 1,256 194 373 358 6,409 128Lewiston-Auburn, ME . . . . . . . . . . . . . . . . . . . . . . . . . −21 288 27,916 209 13,951 24 17.7 260 1,072 275 597 313 5,628 192Lexington-Fayette, KY. . . . . . . . . . . . . . . . . . . . . . . . . 132 144 31,459 114 13,265 37 26.5 116 1,848 50 2,271 130 5,396 215Lima, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −5 274 29,094 170 12,402 64 3.8 350 1,359 153 711 289 6,641 112

Lincoln, NE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 142 28,616 185 10,872 179 26.3 118 1,443 128 1,706 166 6,167 142Little Rock-North Little Rock, AR . . . . . . . . . . . . . . . . . . 80 184 29,794 153 12,037 88 19.0 231 1,294 175 4,694 66 7,459 80Logan, UT-ID. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 182 23,261 348 7,482 353 9.2 335 760 338 407 352 3,756 350Longview, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 165 26,986 254 11,687 109 22.4 171 1,036 291 992 227 4,990 266Longview, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −29 296 32,544 83 9,914 271 15.6 282 1,188 221 487 341 5,121 246Los Angeles-Long Beach-Santa Ana, CA. . . . . . . . . . . 8,784 2 38,732 21 10,072 263 33.6 55 1,560 100 68,978 3 5,380 218

Louisville, KY-IN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374 69 32,014 97 10,651 200 21.4 194 (NA) (NA) 8,223 43 6,909 95Lubbock, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 201 24,295 333 13,043 43 22.1 180 1,635 77 1,284 189 5,000 265Lynchburg, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 235 29,358 162 10,855 181 21.7 188 913 319 1,766 162 7,635 72Macon, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −54 316 28,126 198 10,676 199 13.7 301 (NA) (NA) 1,420 181 6,266 135Madera, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 194 27,485 235 5,474 359 33.7 53 725 341 522 335 3,907 343Madison, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437 61 33,185 70 15,289 8 22.3 176 1,590 93 3,795 86 7,227 84

Manchester-Nashua, NH . . . . . . . . . . . . . . . . . . . . . . . −35 304 37,944 24 15,761 3 25.5 128 1,413 137 2,137 134 5,409 212Mansfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 260 29,134 168 11,557 123 14.3 295 1,188 221 635 304 4,954 272McAllen-Edinburg-Mission, TX . . . . . . . . . . . . . . . . . . . 462 56 21,523 357 8,196 341 50.5 3 856 331 2,608 116 4,105 331Medford, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261 95 27,149 246 13,803 25 24.3 142 1,599 90 1,013 222 5,322 222Memphis, TN-MS-AR . . . . . . . . . . . . . . . . . . . . . . . . . −109 344 33,498 64 10,381 228 17.3 266 2,396 23 8,480 42 6,845 101Merced, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 238 26,008 292 7,124 355 45.4 17 626 345 965 235 4,168 329

Miami-Fort Lauderdale-Miami Beach, FL . . . . . . . . . . . 7,520 3 33,228 69 12,114 82 25.0 133 1,773 57 29,055 8 5,505 203Michigan City-La Porte, IN . . . . . . . . . . . . . . . . . . . . . . −62 321 27,497 233 10,234 238 8.3 339 3,093 14 494 338 4,501 310Midland, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −56 319 30,377 141 11,014 163 5.5 348 1,447 127 428 349 3,597 354Milwaukee-Waukesha-West Allis, WI . . . . . . . . . . . . . . . −139 350 35,998 35 10,745 190 13.4 305 1,293 176 7,963 45 5,261 230Minneapolis-St. Paul-Bloomington, MN-WI . . . . . . . . . . . 3,311 11 40,197 16 12,667 56 24.0 148 1,618 81 14,802 22 4,798 291Missoula, MT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137 141 25,908 298 15,590 6 42.7 23 2,105 30 540 325 5,486 205

Mobile, AL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −78 332 28,025 203 10,194 247 19.7 224 1,098 266 2,320 127 5,801 180Modesto, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411 64 29,587 156 10,242 237 49.9 4 1,038 290 2,047 140 4,169 328Monroe, LA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 228 26,845 262 11,023 162 18.9 232 1,211 213 898 245 5,258 231Monroe, MI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88 171 34,800 47 9,365 304 35.1 41 883 324 575 319 3,810 349Montgomery, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −76 331 27,816 219 10,073 262 11.2 325 1,174 232 3,742 89 10,603 25Morgantown, WV . . . . . . . . . . . . . . . . . . . . . . . . . . . . −53 315 27,011 252 8,950 326 22.0 182 1,183 227 784 272 6,906 96

Morristown, TN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −17 283 27,717 223 9,405 302 23.9 150 894 322 667 296 5,232 235Mount Vernon-Anacortes, WA. . . . . . . . . . . . . . . . . . . . 93 167 29,036 172 15,029 11 49.8 6 1,750 60 539 326 4,934 276Muncie, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −45 310 26,628 269 11,121 152 18.2 242 1,233 198 596 314 5,033 259Muskegon-Norton Shores, MI . . . . . . . . . . . . . . . . . . . . 76 188 30,766 125 8,920 329 12.5 316 1,028 293 877 251 5,063 251Myrtle Beach-Conway-North Myrtle Beach, SC . . . . . . . . 222 106 22,828 353 15,647 4 28.7 96 5,170 6 1,023 220 4,850 283Napa, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216 108 35,647 37 10,696 193 46.0 14 2,700 16 702 291 5,329 221

Naples-Marco Island, FL . . . . . . . . . . . . . . . . . . . . . . . 726 35 30,380 140 15,222 10 59.8 1 2,531 17 1,225 193 4,280 319Nashville-Davidson-Murfreesboro, TN . . . . . . . . . . . . . . 343 73 34,015 56 11,712 107 21.2 200 1,853 49 7,838 46 5,712 185New Haven-Milford, CT . . . . . . . . . . . . . . . . . . . . . . . . −70 328 37,425 26 11,102 153 20.0 221 1,212 212 5,200 61 6,179 141New Orleans-Metairie-Kenner, LA . . . . . . . . . . . . . . . . . 71 192 30,339 142 9,833 281 17.8 257 2,399 22 9,929 34 7,546 76New York-Northern New Jersey-Long Island,NY-NJ-PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,313 4 50,172 3 9,883 274 28.2 100 1,509 111 112,903 1 6,047 155Niles-Benton Harbor, MI . . . . . . . . . . . . . . . . . . . . . . . 74 190 31,626 109 8,113 345 1.2 356 1,176 231 876 252 5,381 217

See footnotes at end of table.

E–34 State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 35: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Metropolitan statistical area

Private nonfarm businessestablishments

Retail trade1 (NAICS 44–55),sales 2002

Accommodationand

food services1

(NAICS 72),sales 2002

Federal funds and grants,2003

Estab-lishmentchange,

2000–2003 Rank

Annualpayroll

per em-ployee,

2002(dol-lars) Rank

Percapita2

(dol-lars) Rank

Percentchange,

1997–2002 Rank

Percapita2

(dol-lars) Rank

Totalexpen-ditures(milliondollars) Rank

Percapita3

(dol-lars) Rank

Norwich-New London, CT . . . . . . . . . . . . . . . . . . . . . . 162 128 36,453 32 11,464 128 25.2 131 9,060 3 3,994 80 15,060 7Ocala, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311 82 24,745 324 10,496 214 28.8 95 884 323 1,647 170 5,859 177Ocean City, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138 140 30,234 145 13,587 30 43.9 20 4,888 7 688 293 6,757 106Odessa, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 146 27,849 215 11,091 154 19.1 230 1,257 193 501 337 4,071 336Ogden-Clearfield, UT . . . . . . . . . . . . . . . . . . . . . . . . . 689 40 26,512 278 9,118 316 16.9 270 829 333 3,912 82 8,346 54Oklahoma City, OK. . . . . . . . . . . . . . . . . . . . . . . . . . . 467 54 28,080 199 10,429 219 15.4 287 1,402 142 8,762 40 7,732 69

Olympia, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200 113 28,824 178 10,299 233 38.3 30 1,128 255 2,283 129 10,333 27Omaha-Council Bluffs, NE-IA . . . . . . . . . . . . . . . . . . . . 424 62 32,629 82 12,567 58 23.5 158 1,707 64 4,536 67 5,723 184Orlando-Kissimee, FL . . . . . . . . . . . . . . . . . . . . . . . . . 2,300 18 30,735 129 12,118 80 26.1 122 3,453 11 9,792 35 5,433 210Oshkosh-Neenah, WI . . . . . . . . . . . . . . . . . . . . . . . . . −33 302 35,111 43 9,535 297 1.4 355 1,056 282 1,239 191 7,815 67Owensboro, KY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −21 288 26,920 259 10,196 245 21.8 187 1,230 200 555 324 5,007 263Oxnard-Thousand Oaks-Ventura, CA . . . . . . . . . . . . . . . 743 34 36,690 29 11,557 123 39.3 28 1,264 190 4,066 77 5,143 242

Palm Bay-Melbourne-Titusville, FL. . . . . . . . . . . . . . . . . 518 50 31,764 104 10,555 206 34.2 49 1,219 209 5,545 59 10,965 23Panama City-Lynn Haven, FL . . . . . . . . . . . . . . . . . . . . 44 225 24,092 334 12,249 72 24.6 140 2,451 20 1,324 186 8,548 53Parkersburg-Marietta-Vienna, WV-OH . . . . . . . . . . . . . . −60 320 26,857 261 12,350 65 30.9 75 (NA) (NA) 1,059 217 6,484 123Pascagoula, MS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . −66 322 28,795 179 6,986 357 2.7 353 866 329 2,146 133 13,914 9Pensacola-Ferry Pass-Brent, FL . . . . . . . . . . . . . . . . . . 289 88 25,357 312 9,776 282 20.7 209 1,125 257 3,502 94 8,157 59Peoria, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 260 32,226 91 10,633 201 13.0 309 1,655 75 1,917 151 5,235 233

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD . . . . . 2,011 19 39,379 17 11,752 104 25.7 126 1,316 164 38,986 5 6,754 107Phoenix-Mesa-Scottsdale, AZ . . . . . . . . . . . . . . . . . . . . 3,484 8 33,323 67 11,036 160 28.3 99 1,616 83 20,090 16 5,591 197Pine Bluff, AR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 251 25,231 315 7,610 352 5.7 347 (NA) (NA) 951 239 8,955 46Pittsburgh, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 221 32,917 76 10,411 222 14.5 293 1,365 152 18,585 18 7,713 71Pittsfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −73 329 30,281 144 11,785 101 22.7 167 2,455 19 1,088 210 8,175 58Pocatello, ID . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 245 24,718 327 10,099 260 13.3 306 1,123 259 403 354 4,867 281

Portland-South Portland-Biddeford, ME . . . . . . . . . . . . . 598 44 32,777 80 12,849 50 22.2 179 1,995 40 3,819 85 7,527 78Portland-Vancouver-Beaverton, OR-WA . . . . . . . . . . . . . 699 38 36,473 31 10,804 185 12.7 312 1,498 115 9,441 38 4,625 306Port St. Lucie-Fort Pierce, FL . . . . . . . . . . . . . . . . . . . . 538 49 27,243 241 11,294 136 34.0 50 1,157 241 2,078 138 5,955 165Poughkeepsie-Newburgh-Middletown, NY. . . . . . . . . . . . 706 37 32,502 86 11,064 158 34.3 48 1,048 287 3,388 98 5,167 239Prescott, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397 65 23,669 343 8,978 325 33.7 54 1,747 61 981 228 5,314 224Providence-New Bedford-Fall River, RI-MA . . . . . . . . . . . 16,927 1 32,027 96 10,972 168 39.7 27 1,525 107 10,818 31 6,665 110

Provo-Orem, UT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 950 29 26,324 282 8,367 340 32.5 62 835 332 1,064 215 2,621 361Pueblo, CO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 221 25,934 297 9,708 288 21.2 202 1,193 217 931 241 6,247 137Punta Gorda, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320 78 24,818 322 9,570 293 34.9 44 922 316 971 231 6,353 132Racine, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110 155 33,256 68 9,924 269 21.2 203 975 307 823 265 4,273 321Raleigh-Cary, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 921 31 33,646 62 12,943 45 32.3 64 1,439 130 4,895 63 5,516 201Rapid City, SD. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154 131 25,953 295 14,632 14 35.3 40 2,034 35 897 246 7,736 68

Reading, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250 99 31,689 107 10,072 263 15.5 284 966 309 1,671 167 4,321 316Redding, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 179 28,131 197 11,471 127 45.6 16 1,346 159 1,061 216 6,041 156Reno-Sparks, NV . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 93 32,174 92 13,681 28 32.9 58 5,490 5 1,743 163 4,651 303Richmond, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709 36 34,003 57 11,255 139 31.3 72 (NA) (NA) 7,547 47 6,629 114Riverside-San Bernardino-Ontario, CA . . . . . . . . . . . . . . 4,006 7 29,093 171 9,211 313 47.0 11 1,199 216 14,663 23 4,023 338Roanoke, VA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127 149 28,547 186 12,841 51 17.9 252 (NA) (NA) 1,782 158 6,139 147

Rochester, MN. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 93 35,137 42 13,221 38 37.8 32 1,621 80 828 263 4,803 290Rochester, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316 79 33,722 60 9,919 270 17.0 268 1,083 271 5,837 56 5,607 195Rockford, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 258 32,543 84 10,678 198 18.2 244 1,124 258 1,356 184 4,092 333Rocky Mount, NC. . . . . . . . . . . . . . . . . . . . . . . . . . . . −26 293 26,944 258 9,417 301 8.5 338 1,011 297 831 262 5,748 182Rome, GA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 230 26,061 291 10,366 229 18.8 233 1,310 167 440 346 4,714 297Sacramento-Arden-Arcade-Roseville, CA . . . . . . . . . . . . 2,353 17 34,575 49 10,968 169 49.6 7 1,460 121 17,706 20 8,963 45

Saginaw-Saginaw Township North, MI . . . . . . . . . . . . . . −17 283 32,837 77 12,880 49 9.1 336 1,617 82 1,153 200 5,506 202St. Cloud, MN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324 76 27,642 225 14,269 17 34.8 45 1,304 170 717 287 4,034 337St. George, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283 89 23,696 342 11,615 115 31.6 70 1,561 99 406 353 3,890 345St. Joseph, MO-KS. . . . . . . . . . . . . . . . . . . . . . . . . . . 72 191 25,972 294 9,481 300 20.1 218 976 306 665 297 5,402 214St. Louis, MO-IL5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,015 27 34,607 48 10,998 164 22.0 182 1,651 76 21,990 14 7,985 63Salem, OR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 167 27,674 224 9,075 318 12.4 317 (NA) (NA) 2,331 126 6,392 130

Salinas, CA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323 77 32,123 94 9,873 276 33.8 52 2,512 18 2,107 136 5,083 249Salisbury, MD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −2 267 27,020 251 11,610 117 22.0 181 1,138 250 570 321 5,040 256Salt Lake City, UT . . . . . . . . . . . . . . . . . . . . . . . . . . . 942 30 31,910 103 12,209 76 14.3 296 1,705 65 5,112 62 5,084 248San Angelo, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −15 280 26,103 289 10,803 186 27.4 104 (NA) (NA) 678 295 6,422 126San Antonio, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,132 24 29,188 165 10,543 208 37.6 33 1,718 63 14,255 24 7,848 66San Diego-Carlsbad-San Marcos, CA . . . . . . . . . . . . . . 3,408 10 37,412 27 10,906 174 42.2 24 2,186 26 24,045 12 8,238 57

Sandusky, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 260 28,872 176 10,569 205 14.0 297 2,294 25 420 351 5,331 220San Francisco-Oakland-Fremont, CA . . . . . . . . . . . . . −1,744 361 49,720 4 11,591 120 31.5 71 2,109 29 25,999 9 6,255 136San Jose-Sunnyvale-Santa Clara, CA . . . . . . . . . . . . . . −1,287 360 62,395 1 11,802 100 20.5 212 1,782 55 11,408 30 6,586 117San Luis Obispo-Paso Robles, CA . . . . . . . . . . . . . . . . 548 48 28,004 205 10,587 203 49.9 5 2,382 24 1,114 206 4,401 314Santa Barbara-Santa Maria, CA . . . . . . . . . . . . . . . . . . 178 122 34,230 52 10,738 192 35.4 39 2,094 31 2,724 111 6,763 105Santa Cruz-Watsonville, CA . . . . . . . . . . . . . . . . . . . . . 56 210 34,118 54 10,335 230 32.9 59 1,683 68 993 226 3,944 341

Santa Fe, NM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197 115 27,814 220 13,484 31 27.2 106 2,803 15 1,173 197 8,584 52Santa Rosa-Petaluma, CA . . . . . . . . . . . . . . . . . . . . . . 247 101 35,607 38 12,303 69 38.2 31 1,554 101 2,039 141 4,363 315Sarasota-Bradenton-Venice, FL . . . . . . . . . . . . . . . . . . 1,127 26 28,499 187 11,508 125 24.2 144 1,413 137 3,999 79 6,303 133Savannah, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 146 28,909 175 10,748 188 19.2 228 1,997 39 2,861 108 9,378 37Scranton-Wilkes-Barre, PA . . . . . . . . . . . . . . . . . . . . . . −114 345 26,712 265 11,148 149 22.6 168 1,226 205 4,013 78 7,261 83Seattle-Tacoma-Bellevue, WA. . . . . . . . . . . . . . . . . . . 54 213 43,193 8 12,170 77 25.9 124 1,685 67 18,730 17 5,961 163

Sheboygan, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95 163 30,492 137 10,144 254 26.2 121 1,224 206 453 344 3,987 340Sherman-Denison, TX. . . . . . . . . . . . . . . . . . . . . . . . . −3 271 28,209 193 12,039 87 25.3 129 1,021 294 561 323 4,880 280Shreveport-Bossier City, LA . . . . . . . . . . . . . . . . . . . . . 55 212 26,570 274 10,815 184 24.0 146 3,552 9 2,506 121 6,618 115Sioux City, IA-NE-SD . . . . . . . . . . . . . . . . . . . . . . . . . −7 276 26,670 266 9,161 315 2.9 352 1,333 161 852 258 5,954 166Sioux Falls, SD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272 92 28,944 174 14,016 23 27.1 108 1,824 53 994 224 5,004 264South Bend-Mishawaka, IN-MI . . . . . . . . . . . . . . . . . . . −98 337 29,993 149 10,938 172 18.0 250 1,161 237 2,164 132 6,817 102

See footnotes at end of table.

E–35State and Metropolitan Area Data Book: 2006U.S. Census Bureau

Page 36: Appendix E. Ranking Tables · E–10 Table E-11. Health Conditions and Chronic Disease-Related Characteristics and Diabetes: 2001 E–11 Table E-12. Social Insurance, Human Services,

Table E-17. Metropolitan Area Rankings — Business and Federal Funds—Con.

Metropolitan statistical area

Private nonfarm businessestablishments

Retail trade1 (NAICS 44–55),sales 2002

Accommodationand

food services1

(NAICS 72),sales 2002

Federal funds and grants,2003

Estab-lishmentchange,

2000–2003 Rank

Annualpayroll

per em-ployee,

2002(dol-lars) Rank

Percapita2

(dol-lars) Rank

Percentchange,

1997–2002 Rank

Percapita2

(dol-lars) Rank

Totalexpen-ditures(milliondollars) Rank

Percapita3

(dol-lars) Rank

Spartanburg, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 136 31,607 111 10,503 213 17.8 256 1,155 242 1,116 205 4,261 322Spokane, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 161 30,294 143 11,394 130 18.1 248 1,354 156 2,554 118 5,923 172Springfield, IL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −52 314 29,481 159 11,888 99 18.4 240 1,628 78 3,216 102 15,722 5Springfield, MA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −1,097 359 30,681 130 9,954 267 28.6 97 1,151 244 4,076 75 5,931 170Springfield, MO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291 87 25,318 313 12,349 66 19.5 225 1,397 144 1,823 155 4,741 296Springfield, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −11 278 26,565 276 9,233 310 20.4 214 1,066 279 837 260 5,862 176

State College, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 240 25,894 299 10,123 256 21.6 192 1,509 111 961 237 6,874 99Stockton, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 644 43 30,952 121 8,936 327 48.8 10 933 313 2,675 113 4,234 323Sumter, SC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 175 25,686 304 8,114 344 9.2 334 749 339 878 250 8,298 56Syracuse, NY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348 72 32,316 90 10,387 226 21.2 201 1,264 190 3,750 88 5,740 183Tallahassee, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331 74 27,395 238 9,518 298 21.8 186 1,302 171 4,111 73 12,554 13Tampa-St. Petersburg-Clearwater, FL. . . . . . . . . . . . . . . 2,378 16 32,704 81 12,096 85 24.4 141 1,442 129 16,181 21 6,393 129

Terre Haute, IN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −35 304 27,121 247 16,610 1 3.2 351 1,227 204 1,052 218 6,205 138Texarkana, TX-Texarkana, AR. . . . . . . . . . . . . . . . . . . . −21 288 25,284 314 11,168 148 22.4 172 1,450 125 971 231 7,373 82Toledo, OH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75 189 32,000 98 10,989 167 12.6 315 1,490 116 3,329 100 5,047 254Topeka, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −18 285 28,364 190 9,741 285 20.1 217 (NA) (NA) 1,974 148 8,704 48Trenton-Ewing, NJ . . . . . . . . . . . . . . . . . . . . . . . . . . . 695 39 43,228 7 11,719 106 31.7 68 1,548 103 3,730 90 10,327 28Tucson, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 515 51 29,586 157 9,906 273 26.8 112 1,581 94 8,109 44 9,101 44

Tulsa, OK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306 84 31,950 100 10,141 255 17.4 265 1,275 182 4,103 74 4,663 301Tuscaloosa, AL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −21 288 27,634 227 10,201 242 21.4 193 1,240 197 1,189 196 6,117 148Tyler, TX. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179 121 29,849 152 12,902 48 24.8 136 1,309 168 922 242 5,013 262Utica-Rome, NY. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69 196 26,574 273 9,212 312 27.1 107 932 314 1,982 145 6,650 111Valdosta, GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 161 23,056 351 11,610 117 28.2 101 1,554 101 839 259 6,865 100Vallejo-Fairfield, CA . . . . . . . . . . . . . . . . . . . . . . . . . . 315 80 32,808 79 10,148 253 49.0 9 1,059 281 2,442 124 5,933 169

Vero Beach, FL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128 148 26,624 270 12,922 46 33.3 57 1,185 226 832 261 6,921 93Victoria, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 255 29,446 160 10,411 222 17.6 263 1,001 300 532 330 4,709 298Vineland-Millville-Bridgeton, NJ . . . . . . . . . . . . . . . . . . . 87 173 31,262 117 10,259 236 23.8 152 705 342 875 253 5,851 178Virginia Beach-Norfolk-Newport News, VA-NC . . . . . . . . . 810 32 28,234 192 9,745 284 23.0 163 (NA) (NA) 18,214 19 11,208 22Visalia-Porterville, CA . . . . . . . . . . . . . . . . . . . . . . . . . 83 180 26,668 267 7,687 351 37.2 34 678 343 1,634 171 4,178 327Waco, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −19 286 25,935 296 10,123 256 22.3 174 1,348 158 1,236 192 5,630 191

Warner Robins, GA . . . . . . . . . . . . . . . . . . . . . . . . . . 127 149 22,801 354 10,460 216 29.4 93 1,291 177 1,770 160 14,741 8Washington-Arlington-Alexandria, DC-VA-MD-WV . . . . 4,445 5 44,152 6 11,177 146 30.4 82 2,011 38 98,385 2 19,403 2Waterloo-Cedar Falls, IA . . . . . . . . . . . . . . . . . . . . . . . −43 309 27,476 236 11,280 137 17.9 254 1,093 269 805 266 4,978 268Wausau, WI . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −116 346 29,109 169 14,530 15 29.7 89 1,009 298 538 329 4,224 324Weirton-Steubenville, WV-OH . . . . . . . . . . . . . . . . . . . . −30 297 27,867 214 7,338 354 14.5 294 784 334 870 255 6,768 104Wenatchee, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 224 28,055 202 10,229 239 16.4 274 1,523 108 514 336 5,049 253

Wheeling, WV-OH . . . . . . . . . . . . . . . . . . . . . . . . . . . −67 324 24,468 330 10,195 246 15.8 278 1,171 233 974 230 6,490 122Wichita, KS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 119 31,602 112 9,990 266 17.8 258 1,273 183 3,488 95 5,992 159Wichita Falls, TX . . . . . . . . . . . . . . . . . . . . . . . . . . . . −27 294 24,739 325 10,382 227 21.3 197 1,241 196 1,296 187 8,716 47Williamsport, PA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . −30 297 25,711 303 10,744 191 11.1 327 993 302 652 299 5,498 204Wilmington, NC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457 57 27,009 253 13,266 36 24.8 137 1,606 86 1,649 169 5,612 194Winchester, VA-WV . . . . . . . . . . . . . . . . . . . . . . . . . . 94 165 28,788 180 15,237 9 49.5 8 1,395 148 442 345 4,000 339

Winston-Salem, NC . . . . . . . . . . . . . . . . . . . . . . . . . . 77 187 32,836 78 11,921 97 23.0 164 1,328 162 2,039 141 4,663 301Worcester, MA. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380 67 35,155 40 10,517 212 29.9 88 1,221 207 3,927 81 5,061 252Yakima, WA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . −66 322 27,766 222 8,463 338 9.1 337 902 321 1,172 198 5,164 240York-Hanover, PA . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 111 30,415 138 9,873 276 18.4 239 1,051 285 2,075 139 5,245 232Youngstown-Warren-Boardman, OH-PA . . . . . . . . . . . . . −67 324 27,985 207 9,838 279 1.5 354 1,116 260 3,533 93 5,957 164Yuba City, CA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 218 27,829 216 7,714 350 31.0 74 766 337 966 234 6,517 119Yuma, AZ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 246 21,320 358 8,021 348 29.1 94 1,044 289 1,022 221 5,989 160

– Represents zero. NA Not available.

1Includes only establishments with payroll.2Based on resident population estimated as of July 1, 2002.3Based on resident population estimated as of July 1, 2003.4The Denver-Aurora metropolitan statistical area includes Broomfield County. Broomfield County, CO, was formed from parts of Adams, Boulder, Jefferson, and Weld Counties on November 15,

2001, and is coextensive with Broomfield city. For the purposes of defining and presenting data for the Denver-Aurora metropolitan statistical area, Broomfield is treated as if it were a county whendata are available to do so.

5The portion of Sullivan city in Crawford County, MO, is legally part of the St. Louis, MO-IL MSA. That portion is not included in these figures for the St. Louis, MO-IL MSA.

Sources: U.S. Bureau of Labor Statistics, U.S. Census Bureau, U.S. Federal Deposit Insurance Corporation (FDIC), and Office of Thrift Supervision (OTS). For more information, see<http://www.bls.gov/lau>, <http://www.census.gov/govs/www/cffr.html>, and <http://www2.fdic.gov/sod/index.asp>. See Tables B-9, B-10, and B-11 of the State and Metropolitan Area Data Book: 2006.

E–36 State and Metropolitan Area Data Book: 2006U.S. Census Bureau