News Release
1997 Local Area Personal Income for counties, metropolitan areas, and nonmetropolitan areas
1997 LOCAL AREA PERSONAL INCOME
For Counties, Metropolitan Areas, and Nonmetropolitan Areas
Personal income in metropolitan counties grew 5.8 percent in 1997, substantially faster than the 4.7 percent growth of personal income in nonmetropolitan counties, according to estimates released today by the Commerce Department's Bureau of Economic Analysis. The faster metro county growth in 1997 reversed the pattern in 1996, when personal income grew 5.7 percent in metro counties and 6.1 percent in nonmetro counties.
Although wages and salaries grew faster in metro counties than in nonmetro counties in both 1996 and 1997, farm proprietors' incomewhich is a much higher proportion of personal income in nonmetro than in metro countiesdecreased less in metro than in nonmetro counties in 1997 after increasing less than in nonmetro counties in 1996. Among the other components of personal income, transfer payments grew slightly faster in nonmetro counties than in metro counties in both 1996 and 1997.
Percent increase or decrease in personal income and in selected components of personal income in 1996 and 1997 |
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All counties Metro counties Nonmetro counties ---------------- ---------------- ----------------- 1996-97 1995-96 1996-97 1995-96 1996-97 1995-96 Personal income 5.7 5.8 5.8 5.7 4.7 6.1 Wage and salary disbursements 7.2 5.9 7.4 6.1 5.6 4.7 Farm proprietors' income -6.4 65.1 -2.2 30.9 -8.3 88.0 Transfer payments 4.0 5.1 3.9 5.0 4.2 5.6 |
In 1997, personal income grew faster in metro counties than in nonmetro counties in all eight BEA regions. In 1996, personal income grew faster in metro counties than in nonmetro counties in all of the regions except the Great Lakes and Plains; however, the faster nonmetro growth in the Plains and, to a lesser extent, in the Great Lakes more than offset the faster metro growth rates in the other regions.
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NOTE.Metropolitan counties are the counties that compose metropolitan areas as defined for federal statistical purposes (see the last item under "Definitions"), and nonmetropolitan counties are all other counties. (See page 5 of this release for the availability of the estimates for the individual metro areas and counties.)
Percent increase in personal income in metropolitan and nonmetropolitan county totals in 1997 and in 1996 |
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All counties Metro counties Nonmetro counties ---------------- ---------------- ----------------- 1996-97 1995-96 1996-97 1995-96 1996-97 1995-96 United States 5.7 5.8 5.8 5.7 4.7 6.1 Southwest 7.5 6.6 7.7 6.9 6.4 5.3 Rocky Mountain 6.8 7.0 7.2 7.3 5.8 6.3 Far West 6.2 6.1 6.3 6.1 4.0 5.7 New England 5.8 5.6 5.9 5.7 4.8 4.9 Southeast 5.8 6.0 6.0 6.2 5.0 5.5 Great Lakes 5.0 4.6 5.1 4.4 4.7 5.4 Plains 4.9 7.1 5.8 5.9 3.2 9.6 Mideast 4.7 5.2 4.8 5.2 3.9 5.1 |
The estimates of local area personal income released today, which incorporate the annual revision of state personal income released in September 1998, include revisions for 198296. The estimates for 1997 are released for the first time. The revisions had little effect on the estimates of the 1996 growth in personal income in metro and nonmetro counties in any of the BEA regions.
Taken together, the metropolitan areas comprise 829, or 27 percent, of the Nation's 3,110 counties and accounted for 80 percent of the Nation's population and 85 percent of its personal income in 1997. The remainder of this release discusses the metro areas with the fastest and slowest personal income growth and the metro areas with the highest and lowest per capita personal income.
Metropolitan areas with fastest personal income growth in 1997
Eight of the ten metro areas with the fastest growth of personal income from 1996 to 1997 were in the Southwest and Far West regions. Five of the areas were in Texas, and two were in California. Taken together, these ten areas had 4.7 percent of the Nation's personal income in 1997 and accounted for more than $28 billion of the $363 billion national increase in personal income.
Metropolitan areas with fastest personal income growth in 1997 | |
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Personal income Change Percent change 1996 1997 1996-97 1996-97 1995-96 (millions of dollars) United States................... 6,408,103 6,770,650 362,547 5.7 5.8 Austin-San Marcos, TX .......... 24,580 27,194 2,614 10.6 8.9 Houma, LA....................... 3,315 3,663 348 10.5 7.5 San Jose, CA.................... 55,607 61,345 5,738 10.3 9.9 Seattle-Bellevue-Everett, WA.... 68,967 76,064 7,097 10.3 7.8 Odessa-Midland, TX.............. 5,366 5,887 521 9.7 6.0 Dallas, TX...................... 86,962 95,191 8,229 9.5 8.5 Laredo, TX...................... 2,158 2,357 199 9.2 8.3 Raleigh-Durham-Chapel Hill, NC.. 26,671 29,107 2,436 9.1 8.3 Bryan-College Station, TX....... 2,190 2,384 194 8.9 6.1 Santa Rosa, CA.................. 11,447 12,439 992 8.7 7.7 |
In all 10 of these areas, the fast growth in personal income in 1997 continued the pattern of above-average growth in 1996. In eight of these areas, the rate of growth in personal income from 1995 to 1996 exceeded the national growth rate by 1.7 percentage point or more, and in all of the areas, the rate of growth in personal income in 1997 exceeded the rate of growth in 1996. Austin-San Marcos and San Jose were among the 10 areas with the fastest personal income growth in 1996.
Metropolitan areas with slowest personal income growth in 1997
The ten metro areas with the slowest growth or a decline in personal income in 1997 include a pair of adjacent areas in eastern Washington (Yakima and Richland-Kennewick-Pasco) and another adjacent pair on the Ohio-West Virginia border (Steubenville-Weirton and Wheeling). Taken together, the ten slowest growing areas had 0.9 percent of the Nation's personal income in 1997 and accounted for less than $1 billion of the $363 billion national increase in personal income.
Metropolitan areas with slowest personal income growth in 1997 | |
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Personal income Change Percent change 1996 1997 1996-97 1996-97 1995-96 (millions of dollars) United States................. 6,408,103 6,770,650 362,547 5.7 5.8 Flint, MI..................... 9,891 9,875 -16 -.2 .7 Steubenville-Weirton, OH-WV... 2,561 2,564 3 .1 2.8 Grand Forks, ND-MN............ 1,985 1,991 6 .3 7.1 Monroe, LA.................... 2,856 2,899 43 1.5 5.5 Dover, DE..................... 2,507 2,550 43 1.7 8.6 Wheeling, WV-OH............... 2,988 3,040 52 1.7 4.2 Yakima, WA.................... 4,101 4,179 78 1.9 6.6 Honolulu, HI.................. 23,296 23,836 540 2.3 .9 Terre Haute, IN............... 2,829 2,895 66 2.3 2.1 Richland-Kennewick-Pasco, WA.. 3,780 3,876 96 2.5 2.7 |
In six of the ten slow-growing areas, the growth in personal income in 1996 was also slow, and in eight of the areas, the of rate of growth in 1997 was slower than in 1996. Flint and Honolulu were among the 10 slowest growing areas in 1996. Dover, Grand Forks, and Yakima experienced sharp reversals in personal income growth rates from 1996 to 1997. In Dover, dividends, interest and rent grew sharply in 1996, and manufacturing earnings declined substantially in 1997. In Grand Forks and Yakima, farm proprietors' income grew sharply in 1996 and declined sharply in 1997.
Metropolitan areas with highest and lowest 1997 per capita personal income
The ten metro areas with the highest per capita personal income in 1997 were generally large in terms of personal income and population; taken together, they accounted for 7.5 percent of the nation's personal income and 5.0 percent of its population. All ten of the areas were located on the east or west coasts. Six of the areas are parts of the metropolitan complex centered on New York City, and two are parts of the metropolitan complex centered on San Francisco. All of these areas ranked among the ten highest in per capita personal income in 1996, and seven of them had a percent increase in per capita personal income greater than or equal to the national increase in 1997.
Metropolitan areas with highest 1997 per capita personal income | |
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Percent of Per capita income Percent national (dollars) change average 1996 1997 1996-97 1996 1997 United States.............. 24,164 25,288 4.7 100 100 San Francisco, CA *........ 38,813 41,128 6.0 161 163 New Haven-Bridgeport- Stamford-Danbury- Waterbury, CT **......... 38,727 40,928 5.7 160 162 West Palm Beach-Boca Raton, FL................ 37,375 38,772 3.7 155 153 San Jose, CA *............. 34,880 37,856 8.5 144 150 Bergen-Passaic, NJ *....... 34,795 36,769 5.7 144 145 Trenton, NJ *.............. 33,893 36,598 8.0 140 145 Naples, FL................. 35,001 36,210 3.5 145 143 Middlesex-Somerset- Hunterdon, NJ *.......... 34,027 35,734 5.0 141 141 Newark, NJ *............... 33,455 35,038 4.7 138 139 Nassau-Suffolk, NY *....... 33,542 34,902 4.1 139 138 * a component (a primary metropolitan statistical area) of a larger metropolitan complex (a consolidated metropolitan statistical area). ** a component (a New England county metropolitan area) of a larger metropolitan complex |
Most of the ten areas with the lowest per capita personal income in 1997 were small in terms of personal income and population; taken together, they accounted for 0.6 percent of the nation's personal income and 1.1 percent of its population. Eight of the ten areas were located in the Southwest or Southeast regions, and the six lowest ranking areas were located on the Mexican border. All of these areas except Visalia-Tulare-Porterville were among the 10 lowest in per capita personal income in 1996, and seven of them had a percent increase in per capita personal income less than the national increase in 1997.
Metropolitan areas with lowest 1997 per capita personal income | |
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Percent of Per capita income Percent national (dollars) change average 1996 1997 1996-97 1996 1997 United States.............. 24,164 25,288 4.7 100 100 Visalia-Tulare- Porterville, CA.......... 16,740 17,116 2.2 69 68 Jacksonville, NC........... 15,817 16,900 6.8 65 67 Sumter, SC................. 16,070 16,883 5.1 67 67 Provo-Orem, UT............. 15,996 16,567 3.6 66 66 Yuma, AZ................... 15,511 15,629 .8 64 62 El Paso, TX................ 14,600 15,216 4.2 60 60 Las Cruces, NM............. 14,564 14,923 2.5 60 59 Laredo, TX................. 12,332 12,999 5.4 51 51 Brownsville-Harlingen- San Benito, TX........... 12,357 12,857 4.0 51 51 McAllen-Edinburg- Mission, TX.............. 11,548 12,005 4.0 48 47 |
Note to correspondents: A narrative summary, BEA Regional Facts (BEARFACTS), of personal income and per capita personal income, components of income, and earnings by industry is available for each metropolitan area and for counties for the latest ten year (198797) and most current year (199697) periods; see sample Table A. To access BEARFACTS for any area on BEA's Web site, go to /regional/bearfacts/. Individual metropolitan area and county BEARFACTS are available to news media as a supplement to this release from the Regional Economic Measurement Division telephone (202) 606-5360 or FAX (202) 606-5322. |
Additional data on personal income and per capita personal income for BEA regions, states, and metropolitan areas, as well as data for counties, will be presented in the May issue of the Survey of Current Business, the monthly journal of the Bureau of Economic Analysis. Preliminary estimates of State personal income for 1998, which were released on April 27, are presented in the May issue. See the end of this release for information on obtaining issues of the Survey of Current Business in printed form and on BEA's Web site. The full detail of the local area personal income estimates is available on a CD-ROM for $35.00. For further information, call (202) 606-5360.
Personal income is the income received by all persons from participation in production, from government and business transfer payments, and from government interest. Personal income is the sum of net earnings by place of residence, rental income of persons, personal dividend income, personal interest income, and transfer payments. Net earnings is earnings by place of work the sum of wage and salary disbursements (payrolls), other labor income, and proprietors' income less personal contributions for social insurance, plus an adjustment to convert earnings by place of work to a place-of-residence basis. Personal income is measured before the deduction of personal income taxes and other personal taxes and is reported in current dollars (no adjustment is made for price changes).
The estimate of personal income for the United States is derived as the sum of the county estimates; it differs from the estimate of personal income in the national income and product accounts (NIPA's) because of differences in coverage, in the methodologies used to prepare the estimates, and in the timing of the availability of source data.
Per capita personal income is personal income divided by the resident population as of July 1.
The metropolitan area definitions used by BEA for its personal income estimates are the county-based definitions issued by the Office of Management and Budget (OMB) for federal statistical purposes. OMB's general concept of a metropolitan area is that of a geographic area consisting of a large population nucleus together with adjacent communities having a high degree of economic and social integration with the nucleus. OMB recognizes two sets of metropolitan areas in the New England region. The first set is defined in terms of cities and towns; the second set, which is used for the estimates presented here, consists of the 12 New England county metropolitan statistical areas (NECMA's). Outside of the New England region, the metropolitan areas consist of 58 primary metropolitan statistical areas (PMSA's) and 246 metropolitan statistical areas (MSA's). The MSA's include Missoula, MT, which was first recognized as an MSA by OMB in June 1998. The PMSA's and one NECMA are grouped into 17 consolidated metropolitan statistical areas (CMSA's). The 316 metropolitan areas discussed in the text of this release consist of the MSA's, PMSA's, and NECMA's. The estimates for all of the areas, including the 17 CMSA's, are shown in Table 1.
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BEA's major national, regional, international, and industry estimates; the Survey of Current Business; and BEA news releases are available on BEA's web site:
The definitions of the metropolitan areas are available on the web site in "Other Products" under the "Regional" heading.
STAT-USA maintains an electronic bulletin board (EBB) and an Internet site, which contains BEA estimates, BEA news releases, and the Survey of Current Business. To subscribe to STAT-USA's World Wide Web system, go to http://www.stat-usa.gov. Subscriptions for single-user unlimited access to STAT-USA's Internet information are $50.00 for 3 months or $150.00 for 1 year. For further information, call (202) 482-1986.
Summary BEA estimates are available on recorded messages at the time of public release at the following telephone numbers:
(202) 606-5306 Gross domestic product 606-5303 Personal income and outlays 606-5362 Summary of international transactions
Most of BEA's estimates and analyses appear in the Survey of Current Business, BEA's monthly journal. The printed Survey of Current Business is available from the Superintendent of Documents, U.S. Government Printing Office, Washington D.C. 20402. First class mail: Annual subscription $88.00 domestic. Second class mail: Annual subscription $39.00 domestic, $48.75 foreign; single issue $14.00 domestic, $17.50 foreign.
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Scheduled release dates for 1999:
Gross State Product, 1995-97.................................... June 7 (Monday) State Personal Income, 1st quarter 1999......................... July 27 (Tuesday) State Personal Income, 2nd quarter 1999......................... October 26 (Tuesday)
Note: The annual revision of State personal income for 1996-98 that would normally be scheduled for this September will instead be combined with the upcoming comprehensive revision, which will be released in the spring of 2000. For further information, see the box "Upcoming Comprehensive Revisions of State and Local Area Personal Income," Survey of Current Business 79 (February 1999): 16.
BEARFACTS Columbus, OH 1986-96 Columbus is one of the 316 metropolitan areas in the United States. Its 1997 population of 1,456,440 ranked 41st in the nation. PER CAPITA PERSONAL INCOME In 1997, Columbus had a per capita personal income (PCPI) of $25,728. This PCPI ranked 75th in the United States and was 102 percent of the national average, $25,288. In 1987, the PCPI of Columbus was $15,812 and ranked 89th in the United States. The average annual growth rate of PCPI over the past 10 years was 5.0 percent. The average annual growth rate for the nation was 4.7 percent. TOTAL PERSONAL INCOME In 1997, Columbus had a total personal income (TPI) of $37,471,060*. This TPI ranked 41st in the United States. In 1987, the TPI of Columbus was $20,420,736* and ranked 41st in the United States. The average annual growth rate of TPI over the past 10 years was 6.3 percent. The average annual growth rate for the nation was 5.8 percent. COMPONENTS OF TOTAL PERSONAL INCOME Total personal income (TPI) includes the earnings (wages and salaries, other labor income, and proprietors' income); dividends, interest, and rent; and transfer payments received by the residents of Columbus. In 1997, earnings were 71.7 percent of TPI (compared with 71.9 percent in 1987); dividends, interest, and rent were 13.8 percent (compared with 14.4 percent in 1987); and transfer payments were 14.6 percent (compared with 13.7 percent in 1987). From 1987 to 1997, earnings increased on average 6.2 percent each year; dividends, interest, and rent increased on average 5.8 percent; and transfer payments increased on average 6.9 percent. EARNINGS BY INDUSTRY Earnings of persons employed in Columbus increased from $16,087,319* in 1987 to $29,615,132* in 1997, an average annual growth rate of 6.3 percent. The largest industries in 1997 were services, 26.3 percent of earnings; state and local government, 13.5 percent; and retail trade, 12.1 percent. In 1987, the largest industries were services, 23.1 percent of earnings; state and local government, 13.6 percent; and durable goods manufacturing, 12.1 percent. Of the industries that accounted for at least 5 percent of earnings in 1997, the slowest growing from 1987 to 1997 was durable goods manufacturing (9.1 percent of earnings in 1997), which increased at an average annual rate of 3.4 percent; the fastest was finance, insurance, and real estate (11.1 percent of earnings in 1997), which increased at an average annual rate of 8.1 percent. * All income estimates with the exception of PCPI are in thousands of dollars. Regional Economic Information System Bureau of Economic Analysis
Table 1. Personal Income and Per Capita Personal Income by Metropolitan Statistical Area 199597
Personal income Per capita personal income1/ ----------------------------------------- ------------------------------------ (Millions of dollars) Percent (Dollars) Rank in change U.S. Area name 1995 1996 1997 1996-97 1995 1996 1997 1997 -------------------------------------------------------------------------------------------------- ------------------------------------ United States2/ 6,059,091 6,408,103 6,770,650 5.7 23,059 24,164 25,288 . Metropolitan portion 5,137,433 5,430,631 5,747,454 5.8 24,470 25,623 26,840 . Nonmetropolitan portion 921,658 977,472 1,023,196 4.7 17,449 18,359 19,089 . Consolidated Metropolitan Statistical Areas Chicago-Gary-Kenosha, IL-IN-WI 235,526 248,253 262,357 5.7 27,296 28,555 29,981 . Cincinnati-Hamilton, OH-KY-IN 44,660 47,149 50,006 6.1 23,427 24,574 25,855 . Cleveland-Akron, OH 71,327 74,337 77,920 4.8 24,499 25,495 26,733 . Dallas-Fort Worth, TX 113,904 123,121 134,293 9.1 25,612 27,023 28,709 . Denver-Boulder-Greeley, CO 60,179 64,674 69,800 7.9 27,024 28,483 30,099 . Detroit-Ann Arbor-Flint, MI 139,276 143,074 149,232 4.3 25,889 26,374 27,419 . Houston-Galveston-Brazoria, TX 105,523 112,366 121,775 8.4 25,408 26,566 28,225 . Los Angeles-Riverside-Orange County, CA 355,870 373,755 393,604 5.3 23,321 24,318 25,313 . Miami-Fort Lauderdale, FL 78,661 83,186 86,917 4.5 22,619 23,459 24,131 . Milwaukee-Racine, WI 41,484 43,512 45,898 5.5 25,230 26,433 27,899 . New York-No. New Jersey-Long Island, NY-NJ-CT-PA 619,350 654,862 688,267 5.1 31,352 33,031 34,560 . Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD 158,253 166,947 175,008 4.8 26,493 27,936 29,292 . Portland-Salem, OR-WA 47,988 52,031 55,815 7.3 23,697 25,100 26,396 . Sacramento-Yolo, CA 37,445 39,292 41,621 5.9 23,326 24,099 25,138 . San Francisco-Oakland-San Jose, CA 200,245 215,695 232,660 7.9 30,562 32,571 34,634 . Seattle-Tacoma-Bremerton, WA 86,045 92,306 100,810 9.2 26,363 27,855 29,839 . Washington-Baltimore, DC-MD-VA-WV 202,626 213,221 225,524 5.8 28,601 29,838 31,265 . Metropolitan Statistical Areas3/ Abilene, TX 2,300 2,424 2,566 5.9 18,800 20,014 21,202 216 Akron, OH* 15,555 16,229 17,079 5.2 22,856 23,700 24,849 99 Albany, GA 2,163 2,296 2,381 3.7 18,586 19,617 20,207 255 Albany-Schenectady-Troy, NY 20,787 21,444 22,217 3.6 23,606 24,429 25,425 83 Albuquerque, NM 14,064 14,759 15,466 4.8 21,324 22,089 22,937 146 Alexandria, LA 2,389 2,456 2,532 3.1 18,861 19,447 20,007 262 Allentown-Bethlehem-Easton, PA 14,328 15,045 15,835 5.3 23,438 24,551 25,762 73 Altoona, PA 2,453 2,578 2,677 3.8 18,597 19,644 20,482 246 Amarillo, TX 4,171 4,343 4,576 5.4 20,457 21,112 22,051 180 Anchorage, AK 6,989 7,162 7,475 4.4 27,845 28,690 29,765 28 Ann Arbor, MI* 14,369 14,989 15,941 6.4 27,573 28,266 29,579 29 Anniston, AL 2,024 2,110 2,210 4.7 17,350 18,098 18,855 292 Appleton-Oshkosh-Neenah, WI 7,601 8,047 8,530 6.0 22,655 23,718 24,957 91 Asheville, NC 4,363 4,604 4,898 6.4 21,083 21,971 23,158 140 Athens, GA 2,588 2,788 2,936 5.3 19,232 20,428 21,256 214 Atlanta, GA 87,823 95,356 102,678 7.7 25,603 26,993 28,253 36 Atlantic-Cape May, NJ* 8,999 9,431 9,722 3.1 27,188 28,339 29,083 33 Augusta-Aiken, GA-SC 8,763 9,086 9,476 4.3 19,398 20,106 20,821 236 Austin-San Marcos, TX 22,572 24,580 27,194 10.6 22,524 23,665 25,420 84 Bakersfield, CA 10,544 11,004 11,449 4.0 17,201 17,801 18,319 297 Baltimore, MD* 61,948 65,177 68,758 5.5 25,157 26,399 27,770 41 Bangor, ME (NECMA) 2,683 2,794 2,927 4.8 18,582 19,418 20,425 248 Barnstable-Yarmouth, MA (NECMA) 5,415 5,815 6,190 6.4 27,199 28,758 30,199 25 Baton Rouge, LA 11,776 12,331 12,786 3.7 20,956 21,786 22,408 168 Beaumont-Port Arthur, TX 7,276 7,505 8,034 7.0 19,413 20,062 21,453 207 Bellingham, WA 2,920 3,151 3,309 5.0 19,589 20,694 21,438 208 Benton Harbor, MI 3,366 3,451 3,647 5.7 20,839 21,415 22,689 157 Bergen-Passaic, NJ* 44,162 46,207 49,111 6.3 33,425 34,795 36,769 5 Billings, MT 2,634 2,729 2,851 4.5 21,162 21,737 22,647 159 Biloxi-Gulfport-Pascagoula, MS 6,006 6,266 6,614 5.6 17,594 18,350 19,211 286 Binghamton, NY 5,208 5,357 5,542 3.5 20,251 21,147 22,123 177 Birmingham, AL 20,268 21,363 22,445 5.1 22,640 23,858 24,898 93 Bismarck, ND 1,789 1,906 1,972 3.5 20,103 21,151 21,711 192 Bloomington, IN 2,135 2,269 2,369 4.4 18,544 19,587 20,316 251 Bloomington-Normal, IL 3,181 3,373 3,545 5.1 22,944 24,172 25,200 87 Boise City, ID 8,423 8,906 9,430 5.9 23,349 23,901 24,567 108 Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH (NECMA) 164,632 174,335 185,340 6.3 28,612 30,124 31,808 15 Boulder-Longmont, CO* 7,160 7,641 8,212 7.5 28,269 29,702 31,393 17 Brazoria, TX* 4,200 4,510 4,787 6.1 19,492 20,508 21,285 211 Bremerton, WA* 4,517 4,756 5,053 6.2 20,006 20,597 21,580 201 Brownsville-Harlingen-San Benito, TX 3,641 3,850 4,095 6.4 11,967 12,357 12,857 315 Bryan-College Station, TX 2,065 2,190 2,384 8.9 15,749 16,697 17,963 301 Buffalo-Niagara Falls, NY 26,422 27,200 28,031 3.1 22,382 23,184 24,099 118 Burlington, VT (NECMA) 4,298 4,554 4,758 4.5 22,911 24,023 24,876 97 Canton-Massillon, OH 8,433 8,727 9,086 4.1 20,968 21,668 22,571 161 Casper, WY 1,562 1,616 1,710 5.8 24,487 25,390 26,866 56 Cedar Rapids, IA 4,294 4,541 4,830 6.4 23,979 25,251 26,641 58 Champaign-Urbana, IL 3,361 3,554 3,703 4.2 20,118 21,144 21,962 186 Charleston-North Charleston, SC 9,397 9,855 10,472 6.3 17,857 18,851 19,601 279 Charleston, WV 5,597 5,844 6,046 3.5 22,011 22,992 23,850 124 Charlotte-Gastonia-Rock Hill, NC-SC 30,999 33,285 35,792 7.5 24,083 25,237 26,480 62 Charlottesville, VA 3,546 3,755 3,958 5.4 24,930 25,996 27,029 55 Chattanooga, TN-GA 9,409 9,902 10,387 4.9 21,279 22,268 23,195 138 Cheyenne, WY 1,662 1,726 1,793 3.9 21,224 21,925 22,815 150 Chicago, IL* 217,348 229,112 242,155 5.7 27,978 29,260 30,717 21 Chico-Paradise, CA 3,426 3,614 3,809 5.4 17,795 18,813 19,715 274 Cincinnati, OH-KY-IN* 37,850 39,973 42,382 6.0 23,855 25,059 26,373 63 Clarksville-Hopkinsville, TN-KY 3,069 3,245 3,410 5.1 16,351 16,715 17,248 306 Cleveland-Lorain-Elyria, OH* 55,772 58,108 60,841 4.7 24,999 26,046 27,314 49 Colorado Springs, CO 9,748 10,514 11,270 7.2 20,978 22,263 23,493 131 Columbia, MO 2,618 2,779 2,915 4.9 21,232 22,106 22,797 152 Columbia, SC 10,429 11,121 11,820 6.3 21,259 22,344 23,435 134 Columbus, GA-AL 5,021 5,331 5,700 6.9 18,468 19,624 20,929 232 Columbus, OH 33,904 35,336 37,471 6.0 23,706 24,502 25,728 75 Corpus Christi, TX 6,830 7,235 7,639 5.6 18,045 18,933 19,781 269 Cumberland, MD-WV 1,715 1,788 1,874 4.8 17,027 17,859 18,919 291 Dallas, TX* 80,161 86,962 95,191 9.5 27,081 28,637 30,481 22 Danville, VA 1,928 1,987 2,082 4.8 17,609 18,193 19,126 288 Davenport-Moline-Rock Island, IA-IL 7,632 8,056 8,541 6.0 21,359 22,561 23,906 123 Dayton-Springfield, OH 21,960 22,576 23,685 4.9 22,918 23,607 24,877 96 Daytona Beach, FL 8,300 8,864 9,341 5.4 18,492 19,489 20,187 256 Decatur, AL 2,764 2,874 3,003 4.5 19,814 20,458 21,202 216 Decatur, IL 2,512 2,665 2,753 3.3 21,629 23,126 24,107 117 Denver, CO* 50,303 54,103 58,471 8.1 27,553 29,055 30,743 20 Des Moines, IA 10,522 11,167 11,830 5.9 24,883 26,102 27,403 45 Detroit, MI* 115,080 118,194 123,417 4.4 26,009 26,506 27,619 44 Dothan, AL 2,492 2,559 2,668 4.3 18,589 19,073 19,869 267 Dover, DE 2,308 2,507 2,550 1.7 19,094 20,611 20,776 239 Dubuque, IA 1,832 1,931 2,016 4.4 20,746 21,849 22,874 149 Duluth-Superior, MN-WI 4,708 4,950 5,167 4.4 19,794 20,839 21,723 191 Dutchess County, NY* 6,404 6,776 7,144 5.4 24,522 25,805 27,085 54 Eau Claire, WI 2,720 2,878 3,035 5.5 19,132 20,155 21,154 219 El Paso, TX 9,431 9,895 10,504 6.2 14,037 14,600 15,216 312 Elkhart-Goshen, IN 3,781 3,873 3,998 3.2 22,718 22,969 23,423 135 Elmira, NY 1,825 1,906 1,968 3.3 19,423 20,459 21,312 210 Enid, OK 1,091 1,143 1,222 6.9 19,088 20,092 21,474 205 Erie, PA 5,670 5,925 6,140 3.6 20,326 21,285 22,120 179 Eugene-Springfield, OR 6,117 6,544 6,920 5.7 20,201 21,358 22,231 173 Evansville-Henderson, IN-KY 6,290 6,643 6,942 4.5 21,906 23,051 24,010 121 Fargo-Moorhead, ND-MN 3,315 3,608 3,746 3.8 20,264 21,876 22,466 166 Fayetteville, NC 5,209 5,461 5,742 5.1 18,314 19,240 20,219 253 Fayetteville-Springdale-Rogers, AR 5,053 5,413 5,799 7.1 19,923 20,704 21,655 198 Flagstaff, AZ-UT 1,939 2,076 2,178 4.9 16,663 17,585 18,184 298 Flint, MI* 9,827 9,891 9,875 -0.2 22,647 22,720 22,685 158 Florence, AL 2,544 2,636 2,715 3.0 18,729 19,295 19,800 268 Florence, SC 2,280 2,426 2,566 5.8 18,617 19,697 20,622 242 Fort Collins-Loveland, CO 4,810 5,259 5,613 6.7 22,174 23,750 24,852 98 Fort Lauderdale, FL* 36,123 38,534 40,743 5.7 25,561 26,752 27,661 43 Fort Myers-Cape Coral, FL 8,749 9,303 9,863 6.0 23,372 24,510 25,568 78 Fort Pierce-Port St. Lucie, FL 6,681 7,211 7,607 5.5 23,804 25,209 26,135 68 Fort Smith, AR-OK 3,403 3,563 3,772 5.9 18,061 18,648 19,570 280 Fort Walton Beach, FL 3,176 3,511 3,736 6.4 19,453 21,200 22,274 171 Fort Wayne, IN 10,859 11,288 11,886 5.3 23,072 23,805 24,891 94 Fort Worth-Arlington, TX* 33,743 36,159 39,102 8.1 22,689 23,798 25,150 88 Fresno, CA 15,106 15,850 16,367 3.3 17,959 18,573 18,958 290 Gadsden, AL 1,814 1,884 1,984 5.3 17,465 18,341 19,126 288 Gainesville, FL 3,876 4,095 4,313 5.3 19,871 20,844 21,822 189 Galveston-Texas City, TX* 5,014 5,269 5,514 4.6 21,164 21,986 22,737 155 Gary, IN* 13,236 13,943 14,689 5.4 21,363 22,460 23,593 128 Glens Falls, NY 2,317 2,410 2,484 3.1 18,961 19,754 20,386 250 Goldsboro, NC 1,866 1,971 2,085 5.8 16,877 17,640 18,611 295 Grand Forks, ND-MN 1,854 1,985 1,991 0.3 17,854 19,206 19,657 275 Grand Junction, CO 1,998 2,125 2,276 7.1 18,853 19,644 20,593 243 Grand Rapids-Muskegon-Holland, MI 22,907 24,185 25,653 6.1 22,857 23,812 24,960 90 Great Falls, MT 1,602 1,659 1,710 3.1 19,824 20,538 21,630 199 Greeley, CO* 2,715 2,930 3,117 6.4 18,355 19,369 20,038 260 Green Bay, WI 4,917 5,208 5,476 5.1 23,400 24,512 25,559 79 Greensboro-Winston-Salem-High Point, NC 26,142 27,734 29,344 5.8 23,277 24,348 25,441 82 Greenville, NC 2,312 2,449 2,620 7.0 19,268 20,103 21,117 220 Greenville-Spartanburg-Anderson, SC 17,912 18,870 19,921 5.6 20,304 21,081 21,972 185 Hagerstown, MD* 2,396 2,537 2,661 4.9 18,890 19,953 20,800 238 Hamilton-Middletown, OH* 6,809 7,176 7,624 6.2 21,305 22,181 23,309 137 Harrisburg-Lebanon-Carlisle, PA 14,369 15,247 15,923 4.4 23,525 24,850 25,899 72 Hartford, CT (NECMA) 32,012 33,500 35,453 5.8 28,899 30,268 32,035 14 Hattiesburg, MS 1,749 1,852 1,960 5.8 16,523 17,164 17,889 302 Hickory-Morganton-Lenoir, NC 6,230 6,547 6,898 5.4 20,094 20,839 21,664 195 Honolulu, HI 23,078 23,296 23,836 2.3 26,434 26,681 27,259 50 Houma, LA 3,085 3,315 3,663 10.5 16,414 17,510 19,146 287 Houston, TX* 96,308 102,587 111,475 8.7 26,024 27,211 28,977 34 Huntington-Ashland, WV-KY-OH 5,462 5,644 5,876 4.1 17,272 17,870 18,652 294 Huntsville, AL 7,118 7,407 7,824 5.6 21,706 22,413 23,459 133 Indianapolis, IN 36,252 37,939 40,111 5.7 24,602 25,475 26,662 57 Iowa City, IA 2,251 2,385 2,510 5.2 22,258 23,523 24,628 105 Jackson, MI 3,030 3,119 3,271 4.9 19,754 20,197 21,057 222 Jackson, MS 8,533 8,973 9,456 5.4 20,544 21,288 22,227 174 Jackson, TN 1,946 2,051 2,186 6.6 20,016 20,862 21,988 183 Jacksonville, FL 22,147 23,821 25,465 6.9 22,601 23,614 24,751 101 Jacksonville, NC 2,153 2,261 2,421 7.1 15,113 15,817 16,900 308 Jamestown, NY 2,538 2,616 2,689 2.8 17,985 18,579 19,260 285 Janesville-Beloit, WI 3,228 3,301 3,444 4.3 21,799 22,024 22,915 148 Jersey City, NJ* 12,824 13,369 13,831 3.5 23,282 24,233 24,943 92 Johnson City-Kingsport-Bristol, TN-VA 8,412 8,851 9,152 3.4 18,559 19,378 19,896 266 Johnstown, PA 4,321 4,500 4,645 3.2 17,987 18,819 19,528 281 Jonesboro, AR 1,328 1,404 1,487 5.9 17,867 18,581 19,456 283 Joplin, MO 2,717 2,872 3,065 6.7 18,924 19,724 20,817 237 Kalamazoo-Battle Creek, MI 9,639 10,057 10,438 3.8 21,820 22,693 23,481 132 Kankakee, IL* 2,007 2,124 2,211 4.1 19,828 20,925 21,677 194 Kansas City, MO-KS 40,847 43,133 45,714 6.0 24,233 25,450 26,627 59 Kenosha, WI* 2,936 3,073 3,302 7.5 21,082 21,743 23,124 142 Killeen-Temple, TX 4,819 5,074 5,348 5.4 16,563 17,059 17,861 303 Knoxville, TN 13,738 14,260 14,888 4.4 21,482 22,004 22,745 154 Kokomo, IN 2,370 2,336 2,412 3.3 23,780 23,287 24,061 119 La Crosse, WI-MN 2,509 2,643 2,770 4.8 20,812 21,812 22,815 150 Lafayette, LA 6,424 6,911 7,453 7.8 17,627 18,783 20,031 261 Lafayette, IN 3,291 3,393 3,582 5.6 19,386 19,841 20,880 235 Lake Charles, LA 3,359 3,547 3,747 5.6 19,109 19,906 20,901 234 Lakeland-Winter Haven, FL 8,133 8,643 9,207 6.5 18,699 19,649 20,625 241 Lancaster, PA 10,107 10,726 11,207 4.5 22,600 23,816 24,694 102 Lansing-East Lansing, MI 9,541 9,835 10,208 3.8 21,026 21,907 22,691 156 Laredo, TX 1,993 2,158 2,357 9.2 11,696 12,332 12,999 314 Las Cruces, NM 2,254 2,370 2,482 4.7 14,194 14,564 14,923 313 Las Vegas, NV-AZ 26,458 29,423 31,876 8.3 23,245 24,575 25,250 86 Lawrence, KS 1,603 1,695 1,820 7.4 18,161 18,896 19,976 264 Lawton, OK 1,882 1,932 1,993 3.2 16,323 16,801 17,487 304 Lewiston-Auburn, ME (NECMA) 1,979 2,067 2,120 2.6 19,292 20,329 20,939 230 Lexington, KY 9,650 10,275 11,033 7.4 22,237 23,374 24,838 100 Lima, OH 3,069 3,129 3,248 3.8 19,744 20,142 20,997 227 Lincoln, NE 5,058 5,429 5,752 5.9 22,081 23,482 24,602 106 Little Rock-North Little Rock, AR 11,717 12,446 13,089 5.2 21,629 22,726 23,707 125 Longview-Marshall, TX 3,852 4,105 4,374 6.6 18,941 19,939 21,025 224 Los Angeles-Long Beach, CA* 213,656 223,742 234,469 4.8 23,662 24,706 25,719 76 Louisville, KY-IN 22,950 24,043 25,353 5.4 23,317 24,307 25,493 80 Lubbock, TX 4,571 4,853 5,082 4.7 19,757 20,980 22,032 181 Lynchburg, VA 4,087 4,261 4,465 4.8 20,037 20,729 21,543 202 Macon, GA 6,183 6,583 6,884 4.6 20,039 21,114 21,770 190 Madison, WI 10,339 10,958 11,550 5.4 25,254 26,379 27,361 47 Mansfield, OH 3,328 3,456 3,619 4.7 18,993 19,719 20,673 240 McAllen-Edinburg-Mission, TX 5,265 5,660 6,058 7.0 11,044 11,548 12,005 316 Medford-Ashland, OR 3,325 3,553 3,744 5.4 20,109 21,120 21,933 187 Melbourne-Titusville-Palm Bay, FL 9,265 9,765 10,342 5.9 20,609 21,531 22,505 164 Memphis, TN-AR-MS 25,271 26,569 28,043 5.5 23,746 24,725 25,905 71 Merced, CA 2,987 3,269 3,394 3.8 15,546 17,113 17,485 305 Miami, FL* 42,538 44,653 46,174 3.4 20,605 21,207 21,688 193 Middlesex-Somerset-Hunterdon, NJ* 34,966 37,105 39,514 6.5 32,461 34,027 35,734 8 Milwaukee-Waukesha, WI* 37,232 39,023 41,131 5.4 25,492 26,695 28,176 37 Minneapolis-St. Paul, MN-WI 74,448 79,350 84,193 6.1 27,315 28,739 30,123 26 Missoula, MT 1,734 1,831 1,910 4.3 19,850 20,735 21,496 204 Mobile, AL 9,498 10,064 10,604 5.4 18,415 19,327 20,119 257 Modesto, CA 7,310 7,762 8,238 6.1 17,879 18,768 19,650 276 Monmouth-Ocean, NJ* 29,420 31,048 32,680 5.3 28,000 29,148 30,275 23 Monroe, LA 2,706 2,856 2,899 1.5 18,474 19,466 19,723 271 Montgomery, AL 6,549 6,872 7,185 4.6 20,867 21,716 22,498 165 Muncie, IN 2,389 2,438 2,527 3.7 20,131 20,635 21,504 203 Myrtle Beach, SC 3,056 3,326 3,591 8.0 19,380 20,301 21,185 218 Naples, FL 5,934 6,503 6,969 7.2 32,836 35,001 36,210 7 Nashville, TN 27,528 28,986 31,057 7.1 25,205 25,995 27,324 48 Nassau-Suffolk, NY* 84,441 89,022 92,861 4.3 31,890 33,542 34,902 10 New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT* 58,754 62,869 66,562 5.9 36,233 38,727 40,928 2 New London-Norwich, CT (NECMA) 6,552 6,840 7,084 3.6 26,270 27,441 28,466 35 New Orleans, LA 27,906 28,837 30,281 5.0 21,293 22,038 23,148 141 New York, NY* 268,292 284,422 298,085 4.8 31,189 32,991 34,459 11 Newark, NJ* 61,710 64,847 68,094 5.0 31,906 33,455 35,038 9 Newburgh, NY-PA* 7,682 8,028 8,314 3.6 21,446 22,198 22,753 153 Norfolk-Virginia Beach-Newport News, VA-NC 31,034 32,448 33,958 4.7 20,255 21,125 21,983 184 Oakland, CA* 62,115 66,771 71,260 6.7 28,061 29,846 31,338 18 Ocala, FL 4,052 4,358 4,652 6.7 17,986 18,930 19,723 271 Odessa-Midland, TX 5,063 5,366 5,887 9.7 21,414 22,488 24,386 111 Oklahoma City, OK 20,341 21,381 22,335 4.5 20,086 20,927 21,659 197 Olympia, WA* 4,204 4,453 4,719 6.0 21,874 22,665 23,607 127 Omaha, NE-IA 15,878 17,086 18,267 6.9 23,711 25,127 26,570 60 Orange County, CA* 70,598 75,099 80,214 6.8 27,447 28,811 30,115 27 Orlando, FL 29,398 31,780 34,194 7.6 21,171 22,360 23,373 136 Owensboro, KY 1,725 1,802 1,910 6.0 19,058 19,866 21,018 225 Panama City, FL 2,541 2,830 2,985 5.5 17,914 19,569 20,392 249 Parkersburg-Marietta, WV-OH 2,963 3,081 3,203 4.0 19,558 20,370 21,252 215 Pensacola, FL 6,810 7,380 7,802 5.7 18,060 19,189 19,759 270 Peoria-Pekin, IL 7,659 8,071 8,495 5.3 22,219 23,398 24,650 104 Philadelphia, PA-NJ* 131,272 138,525 144,970 4.7 26,505 27,994 29,347 31 Phoenix-Mesa, AZ 58,249 63,395 68,597 8.2 21,887 23,025 24,137 116 Pine Bluff, AR 1,381 1,435 1,488 3.7 16,538 17,323 18,109 300 Pittsburgh, PA 56,561 59,485 61,928 4.1 23,703 25,054 26,243 65 Pittsfield, MA (NECMA) 3,289 3,464 3,643 5.2 24,386 25,781 27,200 52 Pocatello, ID 1,247 1,318 1,376 4.4 17,063 17,938 18,596 296 Portland, ME (NECMA) 6,196 6,591 7,049 6.9 25,056 26,409 28,044 38 Portland-Vancouver, OR-WA* 41,933 45,559 49,019 7.6 24,489 25,970 27,388 46 Providence-Warwick-Pawtucket, RI (NECMA) 21,200 21,913 23,054 5.2 23,380 24,205 25,493 80 Provo-Orem, UT 4,750 5,138 5,456 6.2 14,821 15,996 16,567 310 Pueblo, CO 2,396 2,519 2,689 6.7 18,529 19,252 20,274 252 Punta Gorda, FL 2,567 2,764 2,895 4.7 19,941 21,229 21,861 188 Racine, WI* 4,252 4,489 4,767 6.2 23,151 24,349 25,711 77 Raleigh-Durham-Chapel Hill, NC 24,621 26,671 29,107 9.1 24,798 26,101 27,711 42 Rapid City, SD 1,720 1,770 1,852 4.6 19,760 20,383 21,270 212 Reading, PA 8,339 8,761 9,220 5.2 23,813 24,893 26,051 69 Redding, CA 3,095 3,202 3,341 4.3 19,283 19,843 20,539 244 Reno, NV 8,064 8,747 9,262 5.9 27,761 29,284 30,214 24 Richland-Kennewick-Pasco, WA 3,681 3,780 3,876 2.5 20,650 21,120 21,417 209 Richmond-Petersburg, VA 23,575 24,857 26,312 5.9 25,429 26,553 27,797 40 Riverside-San Bernardino, CA* 54,153 56,769 59,748 5.2 18,335 18,949 19,604 278 Roanoke, VA 5,476 5,730 5,977 4.3 24,003 25,085 26,182 66 Rochester, MN 2,752 2,945 3,119 5.9 24,466 26,044 27,233 51 Rochester, NY 26,383 27,410 28,374 3.5 24,310 25,247 26,170 67 Rockford, IL 7,839 8,165 8,528 4.4 22,432 23,128 24,024 120 Rocky Mount, NC 2,618 2,809 2,937 4.6 18,414 19,554 20,214 254 Sacramento, CA* 34,184 35,895 38,101 6.1 23,452 24,236 25,335 85 Saginaw-Bay City-Midland, MI 8,840 9,103 9,485 4.2 21,969 22,604 23,570 129 St. Cloud, MN 2,888 3,081 3,164 2.7 18,230 19,285 19,627 277 St. Joseph, MO 1,855 1,947 2,035 4.5 19,056 20,059 20,939 230 St. Louis, MO-IL 63,014 65,847 69,547 5.6 24,785 25,824 27,177 53 Salem, OR* 6,055 6,471 6,796 5.0 19,362 20,310 20,927 233 Salinas, CA 8,357 8,631 9,227 6.9 24,394 24,890 25,747 74 Salt Lake City-Ogden, UT 24,016 25,953 27,849 7.3 19,802 21,121 22,264 172 San Angelo, TX 1,930 2,027 2,146 5.9 19,053 19,898 20,968 228 San Antonio, TX 29,796 31,526 33,716 6.9 20,474 21,276 22,379 169 San Diego, CA 60,432 63,908 67,998 6.4 22,882 23,903 24,965 89 San Francisco, CA* 60,217 64,159 68,671 7.0 36,668 38,813 41,128 1 San Jose, CA* 50,602 55,607 61,345 10.3 32,289 34,880 37,856 4 San Luis Obispo-Atascadero-Paso Robles, CA 4,575 4,897 5,223 6.7 20,244 21,412 22,568 162 Santa Barbara-Santa Maria-Lompoc, CA 9,685 10,197 10,760 5.5 25,401 26,675 27,839 39 Santa Cruz-Watsonville, CA* 6,117 6,535 7,010 7.3 26,059 27,733 29,406 30 Santa Fe, NM 3,351 3,495 3,680 5.3 24,765 25,507 26,319 64 Santa Rosa, CA* 10,632 11,447 12,439 8.7 25,636 27,295 29,188 32 Sarasota-Bradenton, FL 15,134 16,109 17,020 5.7 28,918 30,460 31,792 16 Savannah, GA 5,884 6,280 6,544 4.2 21,109 22,363 23,054 143 Scranton-Wilkes-Barre-Hazleton, PA 12,754 13,309 13,770 3.5 20,199 21,228 22,177 176 Seattle-Bellevue-Everett, WA* 63,953 68,967 76,064 10.3 29,088 30,916 33,373 13 Sharon, PA 2,227 2,342 2,435 4.0 18,256 19,162 19,950 265 Sheboygan, WI 2,437 2,539 2,637 3.9 22,456 23,215 24,009 122 Sherman-Denison, TX 1,869 2,017 2,135 5.9 19,069 20,144 21,006 226 Shreveport-Bossier City, LA 7,554 7,782 8,064 3.6 19,953 20,532 21,259 213 Sioux City, IA-NE 2,456 2,646 2,730 3.2 20,436 21,905 22,633 160 Sioux Falls, SD 3,669 3,955 4,203 6.3 23,417 24,797 26,030 70 South Bend, IN 5,697 5,841 6,074 4.0 22,214 22,693 23,537 130 Spokane, WA 8,219 8,604 9,037 5.0 20,478 21,300 22,293 170 Springfield, IL 4,536 4,814 5,031 4.5 22,339 23,616 24,679 103 Springfield, MO 6,019 6,328 6,686 5.7 20,481 21,314 22,206 175 Springfield, MA (NECMA) 13,307 13,812 14,496 5.0 22,461 23,397 24,576 107 State College, PA 2,499 2,651 2,793 5.4 19,185 20,070 21,028 223 Steubenville-Weirton, OH-WV 2,492 2,561 2,564 0.1 17,887 18,539 18,794 293 Stockton-Lodi, CA 9,764 10,252 10,854 5.9 18,646 19,286 20,092 259 Sumter, SC 1,624 1,719 1,800 4.7 15,225 16,070 16,883 309 Syracuse, NY 15,978 16,411 16,949 3.3 21,363 22,069 22,952 145 Tacoma, WA* 13,372 14,130 14,973 6.0 20,658 21,551 22,511 163 Tallahassee, FL 5,111 5,419 5,730 5.7 19,902 21,002 22,032 181 Tampa-St. Petersburg-Clearwater, FL 48,799 51,926 55,356 6.6 22,440 23,654 24,879 95 Terre Haute, IN 2,771 2,829 2,895 2.3 18,513 18,914 19,458 282 Texarkana, TX-Texarkana, AR 2,212 2,336 2,469 5.7 18,035 18,918 19,990 263 Toledo, OH 13,881 14,291 14,850 3.9 22,727 23,422 24,315 113 Topeka, KS 3,728 3,896 4,027 3.4 22,637 23,652 24,364 112 Trenton, NJ* 10,696 11,169 12,070 8.1 32,483 33,893 36,598 6 Tucson, AZ 14,616 15,627 16,409 5.0 19,375 20,375 21,068 221 Tulsa, OK 16,334 17,309 18,511 6.9 21,921 22,956 24,206 114 Tuscaloosa, AL 2,992 3,127 3,299 5.5 18,884 19,692 20,514 245 Tyler, TX 3,425 3,685 3,943 7.0 21,209 22,432 23,696 126 Utica-Rome, NY 5,966 6,061 6,239 2.9 19,394 20,121 20,944 229 Vallejo-Fairfield-Napa, CA* 10,562 11,174 11,935 6.8 22,023 23,143 24,406 110 Ventura, CA* 17,463 18,145 19,173 5.7 24,804 25,518 26,563 61 Victoria, TX 1,675 1,793 1,888 5.3 20,799 21,989 23,036 144 Vineland-Millville-Bridgeton, NJ* 2,859 2,918 3,054 4.7 20,227 20,662 21,663 196 Visalia-Tulare-Porterville, CA 5,508 5,802 5,998 3.4 15,985 16,740 17,116 307 Waco, TX 3,750 3,915 4,139 5.7 18,896 19,467 20,446 247 Washington, DC-MD-VA-WV* 138,283 145,507 154,105 5.9 30,761 31,981 33,433 12 Waterloo-Cedar Falls, IA 2,484 2,583 2,730 5.7 20,257 21,127 22,456 167 Wausau, WI 2,479 2,644 2,806 6.1 20,543 21,775 22,937 146 West Palm Beach-Boca Raton, FL 34,157 37,065 39,269 5.9 35,078 37,375 38,772 3 Wheeling, WV-OH 2,868 2,988 3,040 1.7 18,346 19,246 19,722 273 Wichita, KS 11,502 12,177 13,028 7.0 22,137 23,168 24,434 109 Wichita Falls, TX 2,676 2,791 2,944 5.5 19,804 20,295 21,458 206 Williamsport, PA 2,208 2,299 2,377 3.4 18,441 19,343 20,111 258 Wilmington-Newark, DE-MD* 15,123 16,073 17,262 7.4 27,582 29,033 30,851 19 Wilmington, NC 4,040 4,388 4,710 7.3 20,175 21,228 22,122 178 Yakima, WA 3,846 4,101 4,179 1.9 18,150 19,154 19,367 284 Yolo, CA* 3,262 3,396 3,519 3.6 22,086 22,735 23,188 139 York, PA 8,172 8,581 8,953 4.3 22,408 23,305 24,138 115 Youngstown-Warren, OH 12,122 12,390 12,855 3.8 20,215 20,736 21,621 200 Yuba City, CA 2,330 2,417 2,485 2.8 17,217 17,748 18,183 299 Yuma, AZ 2,057 1,938 2,019 4.2 16,889 15,511 15,629 311
1. Per capita personal income was computed using Census Bureau midyear population estimates. Estimates for 1995-97 reflect county population estimates available as of March 1999.
2. The personal income level shown for the United States is derived as the sum of the county estimates; it differs from the national income and product accounts (NIPA's) because of differences in coverage, in the methodologies used to prepare the estimates, and in the timing of source data. In particular, it differs from the NIPA estimate because, by definition, it omits the earnings of Federal civilian and military personnel stationed abroad and of U.S. residents employed abroad temporarily by private U.S. firms.
3. Includes Metropolitan Statistical Areas, Primary Metropolitan Statistical Areas (PMSA's designated by *), and New England County Metropolitan Areas (NECMA's). The New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT NECMA is presented as a PMSA (part of the New York CMSA).
Source: Survey of Current Business, May 1999
U.S. Department of Commerce, Economics and Statistics Administration, Bureau of Economic Analysis