News Release
Metropolitan Area Personal Income and Per Capita Personal Income: 2000
Jeffrey Newman: | (202) | 6069265 | (Analysis) | BEA 0213 |
Kathy Albetski: | 6069240 | (Estimates) |
PER CAPITA PERSONAL INCOME: 2000
Metropolitan areas in northern California and eastern North Carolina had the fastest growth in personal income in 2000, according to estimates released today by the U.S. Bureau of Economic Analysis (BEA). Strong growth in earnings contributed to the rapid growth for all 6 metropolitan areas that comprise the greater San Francisco area 1, while a recovery in rental income, which had been affected by flood damage in 1999 from Hurricane Floyd, contributed to personal income growth in Rocky Mount and Greenville.
Fastest growing metropolitan areas, 1999-2000 (Percent change) 1999 ------------- 2000 ------------- Dividends, Personal Personal Net Interest, Transfer Income Income Earnings & Rent Payments United States............. 4.7 7.0 7.8 5.6 5.1 San Jose, CA.............. 15.2 21.0 25.4 6.2 3.3 San Francisco, CA......... 9.6 15.6 20.8 3.8 2.3 Rocky Mount, NC........... -5.2 14.4 7.1 82.7 4.0 Santa Cruz-Watsonville, CA 9.3 14.4 19.1 3.5 2.4 Vallejo-Fairfield-Napa, CA 7.1 13.6 17.4 4.8 4.2 Greenville, NC............ -0.9 13.3 9.4 39.8 4.7 Santa Rosa, CA............ 5.6 13.0 17.7 3.5 4.1 Oakland, CA............... 8.3 12.4 15.6 4.5 3.1
Fastest growing metropolitan areas, 2000
Each of the metropolitan areas that comprise the greater San Francisco area had net earnings growth that were at least double the national average of 7.8 percent. Much of the strength in earnings reflects strong earnings growth in "new economy" types of industries business services, which includes software development, prepackaged software, data processing services, and computer rental and leasing, in industrial machinery and equipment manufacturing, which includes computer manufacturing, and in electronics and other electric equipment manufacturing. Earnings in these industries were affected greatly by increases in the stock market, which peaked in March 2000. San Jose was the fastest growing metropolitan area in 1999 and 2000.
The 2000 growth in Rocky Mount and Greenville reverses a pattern of below average growth in personal income in recent years. In 1999, Rocky Mount was the slowest growing metropolitan area, and Greenville was the fourth slowest, due to the effects of Hurricane Floyd.
Slowest growing metropolitan areas, 2000
All 8 of the slowest growing metropolitan areas had growth in earnings that was less than the national average by at least 5.1 percentage points. Four of the slowest growing areas were in the Southeast Region, and four were in the Great Lakes Region. Six of the 8 areasLake Charles; Youngstown-Warren; Flint; Toledo; Decatur, IL; and New Orleanshad earnings declines in durable goods manufacturing. In addition:
- Anniston had declines in both federal civilian and military earnings due to the closing of Fort McClellan.
- Lake Charles had a decline in mining earnings.
- Flint; Decatur, IL; and New Orleans had earnings declines in depository and nondepository institutions.
Slowest growing metropolitan areas, 1999-2000 (Percent change) 1999 ------------- 2000 ------------- Dividends, Personal Personal Net Interest, Transfer Income Income Earnings & Rent Payments United States............. 4.7 7.0 7.8 5.6 5.1 Anniston, AL.............. 0.4 -0.2 -3.1 3.5 5.4 Lake Charles, LA.......... 1.7 2.8 1.4 7.6 3.0 Decatur, AL............... 4.5 2.9 1.2 6.3 7.0 Youngstown-Warren, OH..... 2.5 3.1 1.9 4.8 5.2 Flint, MI................. 1.9 3.2 1.6 8.9 4.1 Toledo, OH................ 3.6 3.2 2.4 4.6 4.8 Decatur, IL............... 4.2 3.3 2.3 6.1 4.4 New Orleans, LA........... 1.5 3.4 2.7 6.8 2.4
All of the 8 areas with the slowest growth in 2000 had below average personal income growth in 1999. Only Decatur, AL and Decatur, IL had personal income growth in 1999 that was within 1.0 percentage point of the national average.
Per capita personal income levels, 2000
The 10 metropolitan areas with the highest levels of 2000 per capita personal income (PCPI) were located on either the east or west coasts. San Francisco, with a 2000 PCPI of $57,414, continued to have the highest PCPI in the nation. Of the 10 areas, only Trenton did not rank in the top 10 in PCPI in 1999.
Five of the metropolitan areasNew Haven-Bridgeport-Stamford-Waterbury; Bergen-Passaic; Middlesex-Somerset-Hunterdon; Trenton; and Nassau-Suffolkwere part of the greater New York area2.
The 10 Metropolitan Areas with the highest per capita incomes in 2000 --- Dollars --- --- Ranks --- 1999 2000 1999 2000 United States................... 27,843 29,469 .... .... San Francisco, CA............... 49,830 57,414 1 1 San Jose, CA.................... 45,928 55,157 2 2 New Haven-Bridgeport-Stamford- Danbury-Waterbury, CT.......... 43,806 46,542 3 3 Bergen-Passaic, NJ.............. 39,239 42,726 6 4 Middlesex-Somerset- Hunterdon, NJ.................. 39,393 42,392 5 5 West Palm Beach-Boca Raton, FL.. 39,545 41,007 4 6 Trenton, NJ..................... 37,512 40,954 11 7 Seattle-Bellevue-Everett, WA.... 38,858 40,686 8 8 Nassau-Suffolk, NY.............. 38,387 40,353 9 9 Naples, FL...................... 38,916 40,121 7 10
Nine of the 10 metropolitan areas with the lowest levels of 2000 PCPI ranked in the bottom 10 in 1999. McAllen-Edinburg-Mission, with a 2000 PCPI of $13,344, continued to have the lowest PCPI in the nation. Six of the seven lowest ranking metropolitan areas were in the Southwest Region.
The 10 Metropolitan Areas with the lowest per capita incomes in 2000 --- Dollars --- --- Ranks --- 1999 2000 1999 2000 United States................... 27,843 29,469 .... .... Pine Bluff, AR.................. 19,080 19,826 308 309 Provo-Orem, UT.................. 18,114 19,128 310 310 Merced, CA...................... 18,100 18,536 311 311 El Paso, TX..................... 17,749 18,535 313 312 Auburn-Opelika, AL.............. 17,901 18,484 312 313 Las Cruces, NM.................. 16,705 17,321 314 314 Yuma, AZ........................ 16,004 16,002 315 315 Laredo, TX...................... 14,347 15,114 316 316 Brownsville-Harlingen- San Benito, TX................. 14,179 14,906 317 317 McAllen-Edinburg-Mission, TX.... 12,782 13,344 318 318
Note about data on BEA web site
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 (19902000) and most current year (19992000) periods. To access BEARFACTS for any area on BEA's Web site, go to
/regional/bearfacts/
The complete set of income and employment estimates for 19692000 for counties, metropolitan areas, and BEA economic areas is now available interactively on BEA's Web site. Detailed annual estimates of earnings and employment by industry, transfer payments (i.e., social security payments), and farm gross income and expenses by major category for each of the geographic regions are available. These estimates are the only detailed, broadly-inclusive, annual measure of economic activity available for local areas. Go to /regional/reis/ to access these estimates.
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. 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. For further information, call (202) 606-5360.
Definitions
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 workthe sum of wage and salary disbursements (payrolls), other labor income, and proprietors' incomeless 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 in 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 and in the timing of the availability of source data.
Per capita personal income (PCPI) is the annual total personal income of residents divided by resident population as of July 1. PCPI estimates for 19901999 have been revised to incorporate revised county population estimates for 199099 from the Census Bureau that are consistent with the April 1, 2000 decennial census counts.
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 248 metropolitan statistical areas (MSA's). The PMSA's and one NECMA are grouped into 17 consolidated metropolitan statistical areas (CMSA's). The 318 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.
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 "Articles" under the "Regional" heading.
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 $95.00 domestic. Second class mail: Annual subscription $50.00 domestic, $62.50 foreign; single issue $22.00 domestic, $27.50 foreign.
1Designated by the Office of Management and Budget as the San Francisco-Oakland-San Jose, CA consolidated metropolitan statistical area.
2Designated by the Office of Management and Budget as the New York-Northern New Jersey-Long Island, NY-NJ-CT-PA consolidated metropolitan statistical area.
Area name | Personal income | Per capita personal income1 | ||||||
Millions of dollars | Percent change2 1999- 2000 |
Dollars | Rank in U.S. 2000 |
|||||
1998 | 1999 | 2000 | 1998 | 1999 | 2000 | |||
United States3 | 7,418,497 | 7,769,367 | 8,314,032 | 7.0 | 26,893 | 27,843 | 29,469 | . |
Metropolitan portion | 6,309,791 | 6,622,851 | 7,103,560 | 7.3 | 28,528 | 29,569 | 31,332 | . |
Nonmetropolitan portion | 1,108,706 | 1,146,516 | 1,210,472 | 5.6 | 20,277 | 20,822 | 21,847 | . |
Consolidated Metropolitan Statistical Areas | ||||||||
Chicago-Gary-Kenosha, IL-IN-WI | 287,183 | 298,505 | 316,620 | 6.1 | 31,878 | 32,820 | 34,506 | . |
Cincinnati-Hamilton, OH-KY-IN | 54,908 | 57,245 | 60,249 | 5.2 | 28,078 | 29,075 | 30,384 | . |
Cleveland-Akron, OH | 83,338 | 85,770 | 89,742 | 4.6 | 28,294 | 29,115 | 30,464 | . |
Dallas-Fort Worth, TX | 150,138 | 160,079 | 174,907 | 9.3 | 30,167 | 31,267 | 33,289 | . |
Denver-Boulder-Greeley, CO | 78,606 | 85,196 | 94,440 | 10.9 | 31,947 | 33,652 | 36,370 | . |
Detroit-Ann Arbor-Flint, MI | 162,694 | 169,368 | 178,609 | 5.5 | 29,973 | 31,114 | 32,694 | . |
Houston-Galveston-Brazoria, TX | 136,556 | 142,509 | 155,001 | 8.8 | 30,405 | 30,982 | 33,025 | . |
Los Angeles-Riverside-Orange County, CA | 428,551 | 451,458 | 482,176 | 6.8 | 26,909 | 27,892 | 29,329 | . |
Miami-Fort Lauderdale, FL | 95,902 | 98,951 | 105,353 | 6.5 | 25,637 | 25,937 | 27,033 | . |
Milwaukee-Racine, WI | 49,851 | 51,775 | 54,331 | 4.9 | 29,698 | 30,734 | 32,137 | . |
New York-No. New Jersey-Long Island, NY-NJ-CT-PA | 741,023 | 774,361 | 836,234 | 8.0 | 35,723 | 36,956 | 39,568 | . |
Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD | 187,702 | 194,772 | 206,743 | 6.1 | 30,592 | 31,598 | 33,377 | . |
Portland-Salem, OR-WA | 61,119 | 64,272 | 69,210 | 7.7 | 27,732 | 28,687 | 30,453 | . |
Sacramento-Yolo, CA | 46,577 | 50,012 | 54,157 | 8.3 | 26,894 | 28,299 | 29,951 | . |
San Francisco-Oakland-San Jose, CA | 257,252 | 283,762 | 328,725 | 15.8 | 37,277 | 40,660 | 46,586 | . |
Seattle-Tacoma-Bremerton, WA | 112,042 | 121,281 | 127,818 | 5.4 | 32,207 | 34,412 | 35,877 | . |
Washington-Baltimore, DC-MD-VA-WV | 247,605 | 262,832 | 283,865 | 8.0 | 33,416 | 34,955 | 37,168 | . |
Metropolitan Statistical Areas4 | ||||||||
Abilene, TX | 2,881 | 2,964 | 3,096 | 4.5 | 22,971 | 23,460 | 24,487 | 214 |
Akron, OH* | 18,584 | 19,186 | 20,194 | 5.3 | 26,893 | 27,680 | 29,023 | 90 |
Albany, GA | 2,567 | 2,635 | 2,770 | 5.1 | 21,313 | 21,864 | 22,920 | 267 |
Albany-Schenectady-Troy, NY | 24,112 | 24,816 | 26,233 | 5.7 | 27,587 | 28,392 | 29,942 | 71 |
Albuquerque, NM | 16,861 | 17,372 | 18,503 | 6.5 | 24,043 | 24,598 | 25,894 | 164 |
Alexandria, LA | 2,833 | 2,901 | 3,006 | 3.6 | 22,509 | 23,006 | 23,777 | 239 |
Allentown-Bethlehem-Easton, PA | 16,797 | 17,530 | 18,614 | 6.2 | 26,606 | 27,593 | 29,146 | 88 |
Altoona, PA | 2,908 | 3,031 | 3,165 | 4.4 | 22,284 | 23,361 | 24,533 | 210 |
Amarillo, TX | 4,981 | 5,047 | 5,333 | 5.7 | 23,404 | 23,387 | 24,429 | 217 |
Anchorage, AK | 8,403 | 8,599 | 9,108 | 5.9 | 32,668 | 33,156 | 34,950 | 24 |
Ann Arbor, MI* | 17,299 | 18,414 | 19,765 | 7.3 | 31,002 | 32,312 | 33,987 | 32 |
Anniston, AL | 2,361 | 2,369 | 2,364 | -0.2 | 20,146 | 20,620 | 21,232 | 298 |
Appleton-Oshkosh-Neenah, WI | 9,082 | 9,545 | 10,179 | 6.6 | 25,858 | 26,864 | 28,332 | 102 |
Asheville, NC | 5,554 | 5,706 | 6,032 | 5.7 | 25,142 | 25,506 | 26,618 | 144 |
Athens, GA | 3,262 | 3,407 | 3,589 | 5.3 | 22,001 | 22,542 | 23,311 | 253 |
Atlanta, GA | 116,796 | 126,048 | 136,832 | 8.6 | 30,121 | 31,435 | 33,013 | 37 |
Atlantic-Cape May, NJ* | 10,234 | 10,373 | 10,954 | 5.6 | 29,262 | 29,420 | 30,824 | 63 |
Auburn-Opelika, AL | 1,920 | 2,021 | 2,135 | 5.6 | 17,466 | 17,901 | 18,484 | 313 |
Augusta-Aiken, GA-SC | 10,502 | 10,817 | 11,389 | 5.3 | 22,320 | 22,800 | 23,816 | 236 |
Austin-San Marcos, TX | 32,797 | 36,972 | 40,483 | 9.5 | 28,382 | 30,659 | 32,039 | 44 |
Bakersfield, CA | 12,577 | 12,921 | 13,787 | 6.7 | 19,559 | 19,714 | 20,767 | 304 |
Baltimore, MD* | 74,127 | 77,608 | 82,502 | 6.3 | 29,354 | 30,551 | 32,265 | 42 |
Bangor, ME (NECMA) | 3,124 | 3,244 | 3,426 | 5.6 | 21,605 | 22,387 | 23,653 | 242 |
Barnstable-Yarmouth, MA (NECMA) | 6,912 | 7,430 | 8,128 | 9.4 | 32,223 | 33,932 | 36,417 | 20 |
Baton Rouge, LA | 14,061 | 14,542 | 15,176 | 4.4 | 23,787 | 24,312 | 25,117 | 190 |
Beaumont-Port Arthur, TX | 8,795 | 8,798 | 9,146 | 3.9 | 22,974 | 22,851 | 23,756 | 240 |
Bellingham, WA | 3,550 | 3,707 | 3,876 | 4.6 | 22,048 | 22,525 | 23,133 | 261 |
Benton Harbor, MI | 3,853 | 4,018 | 4,171 | 3.8 | 23,776 | 24,799 | 25,659 | 170 |
Bergen-Passaic, NJ* | 51,904 | 53,692 | 58,721 | 9.4 | 38,142 | 39,239 | 42,726 | 4 |
Billings, MT | 3,100 | 3,179 | 3,376 | 6.2 | 24,285 | 24,697 | 26,057 | 160 |
Biloxi-Gulfport-Pascagoula, MS | 7,741 | 8,027 | 8,429 | 5.0 | 21,773 | 22,234 | 23,097 | 262 |
Binghamton, NY | 5,773 | 5,959 | 6,244 | 4.8 | 22,798 | 23,575 | 24,779 | 198 |
Birmingham, AL | 24,406 | 25,652 | 26,814 | 4.5 | 26,791 | 27,966 | 29,057 | 89 |
Bismarck, ND | 2,200 | 2,272 | 2,426 | 6.8 | 23,487 | 24,107 | 25,586 | 174 |
Bloomington, IN | 2,662 | 2,779 | 2,955 | 6.3 | 22,308 | 23,098 | 24,503 | 213 |
Bloomington-Normal, IL | 3,930 | 4,212 | 4,475 | 6.2 | 26,819 | 28,244 | 29,670 | 74 |
Boise City, ID | 10,380 | 11,091 | 12,349 | 11.3 | 25,483 | 26,343 | 28,329 | 103 |
Boston-Worcester-Lawrence-Lowell-Brockton, MA-NH (NECMA) | 199,531 | 212,497 | 235,164 | 10.7 | 33,411 | 35,287 | 38,758 | 16 |
Boulder-Longmont, CO* | 9,487 | 10,392 | 11,521 | 10.9 | 34,181 | 36,347 | 39,347 | 14 |
Brazoria, TX* | 5,314 | 5,625 | 6,014 | 6.9 | 22,984 | 23,675 | 24,723 | 200 |
Bremerton, WA* | 5,442 | 5,636 | 5,916 | 5.0 | 23,777 | 24,568 | 25,443 | 179 |
Brownsville-Harlingen-San Benito, TX | 4,518 | 4,683 | 5,023 | 7.3 | 13,919 | 14,179 | 14,906 | 317 |
Bryan-College Station, TX | 2,760 | 2,856 | 3,058 | 7.1 | 18,708 | 19,015 | 20,033 | 308 |
Buffalo-Niagara Falls, NY | 29,513 | 30,160 | 31,371 | 4.0 | 25,043 | 25,710 | 26,846 | 139 |
Burlington, VT (NECMA) | 5,216 | 5,514 | 5,904 | 7.1 | 26,791 | 27,985 | 29,611 | 77 |
Canton-Massillon, OH | 9,853 | 10,086 | 10,523 | 4.3 | 24,258 | 24,783 | 25,863 | 165 |
Casper, WY | 1,860 | 1,917 | 2,137 | 11.5 | 28,117 | 28,920 | 32,112 | 43 |
Cedar Rapids, IA | 5,450 | 5,718 | 6,089 | 6.5 | 29,112 | 30,106 | 31,686 | 50 |
Champaign-Urbana, IL | 4,129 | 4,296 | 4,554 | 6.0 | 23,329 | 24,049 | 25,331 | 182 |
Charleston-North Charleston, SC | 11,824 | 12,686 | 13,463 | 6.1 | 22,074 | 23,227 | 24,458 | 216 |
Charleston, WV | 6,583 | 6,698 | 7,014 | 4.7 | 25,925 | 26,523 | 27,898 | 113 |
Charlotte-Gastonia-Rock Hill, NC-SC | 40,359 | 43,205 | 46,600 | 7.9 | 28,212 | 29,360 | 30,901 | 60 |
Charlottesville, VA | 4,452 | 4,598 | 4,947 | 7.6 | 28,927 | 29,223 | 30,875 | 62 |
Chattanooga, TN-GA | 11,243 | 11,761 | 12,472 | 6.0 | 24,477 | 25,422 | 26,781 | 140 |
Cheyenne, WY | 2,067 | 2,178 | 2,291 | 5.2 | 25,674 | 26,885 | 28,035 | 109 |
Chicago, IL* | 265,559 | 276,206 | 292,932 | 6.1 | 32,665 | 33,632 | 35,336 | 22 |
Chico-Paradise, CA | 4,086 | 4,280 | 4,549 | 6.3 | 20,433 | 21,262 | 22,325 | 279 |
Cincinnati, OH-KY-IN* | 46,511 | 48,408 | 50,946 | 5.2 | 28,582 | 29,551 | 30,891 | 61 |
Clarksville-Hopkinsville, TN-KY | 4,089 | 4,290 | 4,619 | 7.7 | 20,168 | 20,938 | 22,250 | 281 |
Cleveland-Lorain-Elyria, OH* | 64,754 | 66,584 | 69,549 | 4.5 | 28,723 | 29,557 | 30,909 | 58 |
Colorado Springs, CO | 12,887 | 13,738 | 14,957 | 8.9 | 25,874 | 26,988 | 28,804 | 92 |
Columbia, MO | 3,327 | 3,436 | 3,646 | 6.1 | 25,094 | 25,623 | 26,851 | 138 |
Columbia, SC | 13,418 | 14,089 | 14,932 | 6.0 | 25,621 | 26,519 | 27,741 | 116 |
Columbus, GA-AL | 6,213 | 6,489 | 6,823 | 5.1 | 22,694 | 23,694 | 24,813 | 197 |
Columbus, OH | 41,976 | 44,389 | 47,299 | 6.6 | 27,896 | 29,114 | 30,619 | 66 |
Corpus Christi, TX | 8,262 | 8,409 | 8,879 | 5.6 | 21,646 | 22,029 | 23,323 | 250 |
Corvallis, OR | 2,157 | 2,196 | 2,291 | 4.3 | 27,327 | 28,059 | 29,318 | 81 |
Cumberland, MD-WV | 1,971 | 2,010 | 2,102 | 4.6 | 19,190 | 19,617 | 20,653 | 305 |
Dallas, TX* | 106,605 | 113,699 | 124,705 | 9.7 | 31,840 | 32,974 | 35,216 | 23 |
Danville, VA | 2,150 | 2,199 | 2,314 | 5.2 | 19,461 | 19,936 | 21,028 | 303 |
Davenport-Moline-Rock Island, IA-IL | 9,260 | 9,250 | 9,690 | 4.8 | 25,824 | 25,713 | 27,005 | 134 |
Dayton-Springfield, OH | 25,427 | 26,056 | 27,084 | 3.9 | 26,572 | 27,336 | 28,504 | 99 |
Daytona Beach, FL | 10,308 | 10,587 | 11,232 | 6.1 | 21,519 | 21,754 | 22,660 | 276 |
Decatur, AL | 3,274 | 3,423 | 3,521 | 2.9 | 22,707 | 23,573 | 24,108 | 228 |
Decatur, IL | 2,927 | 3,049 | 3,150 | 3.3 | 25,353 | 26,479 | 27,516 | 124 |
Denver, CO* | 65,598 | 70,982 | 78,793 | 11.0 | 32,532 | 34,267 | 37,153 | 18 |
Des Moines, IA | 13,074 | 13,700 | 14,340 | 4.7 | 29,503 | 30,402 | 31,347 | 53 |
Detroit, MI* | 134,925 | 140,283 | 147,828 | 5.4 | 30,410 | 31,601 | 33,259 | 36 |
Dothan, AL | 2,943 | 3,071 | 3,202 | 4.3 | 21,566 | 22,357 | 23,197 | 259 |
Dover, DE | 2,772 | 2,862 | 3,025 | 5.7 | 22,348 | 22,787 | 23,795 | 238 |
Dubuque, IA | 2,173 | 2,174 | 2,287 | 5.2 | 24,481 | 24,450 | 25,645 | 172 |
Duluth-Superior, MN-WI | 5,789 | 5,978 | 6,339 | 6.0 | 23,893 | 24,590 | 26,005 | 162 |
Dutchess County, NY* | 7,710 | 7,964 | 8,687 | 9.1 | 28,160 | 28,691 | 30,939 | 57 |
Eau Claire, WI | 3,432 | 3,584 | 3,785 | 5.6 | 23,435 | 24,321 | 25,472 | 178 |
El Paso, TX | 11,624 | 11,988 | 12,643 | 5.5 | 17,318 | 17,749 | 18,535 | 312 |
Elkhart-Goshen, IN | 4,372 | 4,627 | 4,857 | 5.0 | 24,578 | 25,614 | 26,485 | 149 |
Elmira, NY | 2,085 | 2,145 | 2,281 | 6.4 | 22,711 | 23,499 | 25,069 | 191 |
Enid, OK | 1,328 | 1,326 | 1,373 | 3.5 | 22,841 | 22,791 | 23,815 | 237 |
Erie, PA | 6,504 | 6,649 | 6,944 | 4.4 | 23,082 | 23,637 | 24,740 | 199 |
Eugene-Springfield, OR | 7,590 | 7,904 | 8,271 | 4.6 | 23,744 | 24,564 | 25,584 | 175 |
Evansville-Henderson, IN-KY | 7,640 | 7,896 | 8,310 | 5.2 | 25,940 | 26,712 | 28,048 | 108 |
Fargo-Moorhead, ND-MN | 4,258 | 4,535 | 4,720 | 4.1 | 24,914 | 26,230 | 27,024 | 133 |
Fayetteville, NC | 6,862 | 7,105 | 7,542 | 6.2 | 22,912 | 23,558 | 24,899 | 193 |
Fayetteville-Springdale-Rogers, AR | 6,356 | 6,806 | 7,306 | 7.4 | 21,588 | 22,442 | 23,316 | 251 |
Flagstaff, AZ-UT | 2,432 | 2,528 | 2,700 | 6.8 | 20,111 | 20,842 | 22,000 | 288 |
Flint, MI* | 10,470 | 10,672 | 11,017 | 3.2 | 24,171 | 24,567 | 25,217 | 186 |
Florence, AL | 2,877 | 2,956 | 3,060 | 3.5 | 20,254 | 20,770 | 21,397 | 295 |
Florence, SC | 2,790 | 2,902 | 3,085 | 6.3 | 22,336 | 23,107 | 24,517 | 211 |
Fort Collins-Loveland, CO | 6,219 | 6,670 | 7,376 | 10.6 | 25,830 | 27,017 | 29,178 | 87 |
Fort Lauderdale, FL* | 43,721 | 44,556 | 47,997 | 7.7 | 28,015 | 27,950 | 29,409 | 80 |
Fort Myers-Cape Coral, FL | 10,924 | 11,196 | 11,834 | 5.7 | 25,893 | 25,917 | 26,655 | 142 |
Fort Pierce-Port St. Lucie, FL | 8,644 | 8,932 | 9,367 | 4.9 | 27,779 | 28,237 | 29,206 | 85 |
Fort Smith, AR-OK | 4,113 | 4,319 | 4,625 | 7.1 | 20,384 | 21,104 | 22,249 | 282 |
Fort Walton Beach, FL | 4,093 | 4,254 | 4,530 | 6.5 | 24,363 | 25,163 | 26,501 | 148 |
Fort Wayne, IN | 12,805 | 13,195 | 13,878 | 5.2 | 25,924 | 26,479 | 27,591 | 118 |
Fort Worth-Arlington, TX* | 43,532 | 46,380 | 50,202 | 8.2 | 26,729 | 27,745 | 29,305 | 82 |
Fresno, CA | 17,465 | 18,462 | 19,556 | 5.9 | 19,454 | 20,260 | 21,121 | 301 |
Gadsden, AL | 2,072 | 2,119 | 2,219 | 4.7 | 19,852 | 20,375 | 21,486 | 294 |
Gainesville, FL | 4,938 | 5,063 | 5,347 | 5.6 | 23,217 | 23,455 | 24,507 | 212 |
Galveston-Texas City, TX* | 6,251 | 6,387 | 6,660 | 4.3 | 25,446 | 25,662 | 26,564 | 145 |
Gary, IN* | 15,702 | 16,146 | 17,196 | 6.5 | 24,947 | 25,604 | 27,216 | 129 |
Glens Falls, NY | 2,698 | 2,751 | 2,893 | 5.2 | 21,856 | 22,169 | 23,262 | 256 |
Goldsboro, NC | 2,217 | 2,222 | 2,443 | 9.9 | 19,543 | 19,635 | 21,550 | 292 |
Grand Forks, ND-MN | 2,264 | 2,264 | 2,388 | 5.5 | 22,657 | 23,122 | 24,572 | 208 |
Grand Junction, CO | 2,562 | 2,709 | 2,885 | 6.5 | 22,738 | 23,591 | 24,693 | 201 |
Grand Rapids-Muskegon-Holland, MI | 27,695 | 28,933 | 30,550 | 5.6 | 26,095 | 26,853 | 27,977 | 110 |
Great Falls, MT | 1,881 | 1,896 | 1,978 | 4.3 | 23,304 | 23,527 | 24,661 | 202 |
Greeley, CO* | 3,521 | 3,822 | 4,126 | 8.0 | 21,144 | 21,921 | 22,539 | 278 |
Green Bay, WI | 6,102 | 6,365 | 6,659 | 4.6 | 27,442 | 28,311 | 29,295 | 83 |
Greensboro-Winston-Salem-High Point, NC | 32,570 | 33,716 | 35,799 | 6.2 | 26,716 | 27,237 | 28,522 | 98 |
Greenville, NC | 2,936 | 2,911 | 3,299 | 13.3 | 22,499 | 21,964 | 24,599 | 207 |
Greenville-Spartanburg-Anderson, SC | 21,965 | 22,964 | 24,403 | 6.3 | 23,404 | 24,108 | 25,277 | 184 |
Hagerstown, MD* | 2,945 | 3,012 | 3,206 | 6.5 | 22,570 | 22,960 | 24,267 | 221 |
Hamilton-Middletown, OH* | 8,397 | 8,837 | 9,303 | 5.3 | 25,580 | 26,719 | 27,878 | 114 |
Harrisburg-Lebanon-Carlisle, PA | 17,221 | 17,838 | 18,653 | 4.6 | 27,505 | 28,399 | 29,624 | 76 |
Hartford, CT (NECMA) | 37,637 | 39,103 | 41,761 | 6.8 | 33,179 | 34,261 | 36,295 | 21 |
Hattiesburg, MS | 2,195 | 2,288 | 2,393 | 4.6 | 20,035 | 20,679 | 21,344 | 296 |
Hickory-Morganton-Lenoir, NC | 7,725 | 8,092 | 8,633 | 6.7 | 23,209 | 23,945 | 25,178 | 189 |
Honolulu, HI | 24,914 | 25,263 | 26,235 | 3.8 | 28,091 | 28,744 | 29,960 | 70 |
Houma, LA | 4,031 | 3,970 | 4,185 | 5.4 | 20,817 | 20,406 | 21,519 | 293 |
Houston, TX* | 124,991 | 130,497 | 142,327 | 9.1 | 31,136 | 31,726 | 33,891 | 33 |
Huntington-Ashland, WV-KY-OH | 6,247 | 6,348 | 6,653 | 4.8 | 19,709 | 20,092 | 21,106 | 302 |
Huntsville, AL | 8,576 | 8,881 | 9,471 | 6.6 | 25,483 | 26,155 | 27,575 | 119 |
Indianapolis, IN | 44,755 | 46,852 | 49,836 | 6.4 | 28,589 | 29,485 | 30,906 | 59 |
Iowa City, IA | 2,888 | 3,058 | 3,276 | 7.1 | 26,788 | 27,847 | 29,441 | 79 |
Jackson, MI | 3,514 | 3,704 | 3,865 | 4.3 | 22,524 | 23,582 | 24,357 | 219 |
Jackson, MS | 10,716 | 11,095 | 11,666 | 5.1 | 24,692 | 25,369 | 26,396 | 151 |
Jackson, TN | 2,404 | 2,512 | 2,674 | 6.4 | 22,969 | 23,611 | 24,853 | 196 |
Jacksonville, FL | 28,638 | 29,383 | 31,413 | 6.9 | 26,673 | 26,997 | 28,456 | 100 |
Jacksonville, NC | 3,166 | 3,284 | 3,433 | 4.5 | 21,000 | 21,950 | 22,847 | 270 |
Jamestown, NY | 2,821 | 2,842 | 2,959 | 4.1 | 20,036 | 20,288 | 21,208 | 299 |
Janesville-Beloit, WI | 3,683 | 3,780 | 3,918 | 3.7 | 24,416 | 24,943 | 25,694 | 169 |
Jersey City, NJ* | 14,950 | 15,660 | 16,760 | 7.0 | 24,990 | 25,927 | 27,522 | 122 |
Johnson City-Kingsport-Bristol, TN-VA | 9,857 | 10,121 | 10,712 | 5.8 | 20,756 | 21,174 | 22,302 | 280 |
Johnstown, PA | 4,865 | 5,069 | 5,262 | 3.8 | 20,634 | 21,658 | 22,663 | 275 |
Jonesboro, AR | 1,615 | 1,699 | 1,793 | 5.5 | 20,154 | 20,968 | 21,744 | 290 |
Joplin, MO | 3,224 | 3,351 | 3,505 | 4.6 | 20,928 | 21,506 | 22,230 | 283 |
Kalamazoo-Battle Creek, MI | 11,108 | 11,333 | 11,759 | 3.8 | 24,700 | 25,092 | 25,950 | 163 |
Kankakee, IL* | 2,302 | 2,358 | 2,494 | 5.8 | 22,297 | 22,740 | 24,010 | 230 |
Kansas City, MO-KS | 50,305 | 53,017 | 56,591 | 6.7 | 28,865 | 30,090 | 31,765 | 48 |
Kenosha, WI* | 3,620 | 3,795 | 3,998 | 5.3 | 24,731 | 25,589 | 26,646 | 143 |
Killeen-Temple, TX | 6,365 | 6,759 | 7,132 | 5.5 | 20,671 | 21,933 | 22,696 | 273 |
Knoxville, TN | 16,490 | 17,021 | 18,153 | 6.7 | 24,441 | 24,975 | 26,345 | 153 |
Kokomo, IN | 2,654 | 2,784 | 2,918 | 4.8 | 26,292 | 27,474 | 28,727 | 95 |
La Crosse, WI-MN | 3,064 | 3,164 | 3,323 | 5.0 | 24,438 | 25,100 | 26,165 | 156 |
Lafayette, LA | 8,201 | 8,151 | 8,572 | 5.2 | 21,511 | 21,219 | 22,210 | 284 |
Lafayette, IN | 4,093 | 4,205 | 4,455 | 5.9 | 22,738 | 23,179 | 24,330 | 220 |
Lake Charles, LA | 3,988 | 4,054 | 4,166 | 2.8 | 21,841 | 22,103 | 22,701 | 272 |
Lakeland-Winter Haven, FL | 10,122 | 10,478 | 11,306 | 7.9 | 21,469 | 21,919 | 23,285 | 255 |
Lancaster, PA | 11,981 | 12,495 | 13,298 | 6.4 | 25,806 | 26,706 | 28,195 | 106 |
Lansing-East Lansing, MI | 10,949 | 11,526 | 12,050 | 4.5 | 24,474 | 25,780 | 26,895 | 136 |
Laredo, TX | 2,572 | 2,712 | 2,945 | 8.6 | 14,053 | 14,347 | 15,114 | 316 |
Las Cruces, NM | 2,818 | 2,905 | 3,032 | 4.4 | 16,376 | 16,705 | 17,321 | 314 |
Las Vegas, NV-AZ | 37,556 | 40,561 | 43,615 | 7.5 | 26,320 | 26,985 | 27,558 | 121 |
Lawrence, KS | 2,043 | 2,135 | 2,278 | 6.7 | 20,941 | 21,461 | 22,747 | 271 |
Lawton, OK | 2,285 | 2,349 | 2,443 | 4.0 | 19,771 | 20,235 | 21,332 | 297 |
Lewiston-Auburn, ME (NECMA) | 2,316 | 2,413 | 2,497 | 3.5 | 22,463 | 23,333 | 24,045 | 229 |
Lexington, KY | 12,170 | 12,785 | 13,743 | 7.5 | 26,121 | 26,975 | 28,597 | 97 |
Lima, OH | 3,555 | 3,702 | 3,864 | 4.4 | 22,894 | 23,909 | 24,890 | 194 |
Lincoln, NE | 6,509 | 6,858 | 7,217 | 5.2 | 26,611 | 27,717 | 28,752 | 94 |
Little Rock-North Little Rock, AR | 14,634 | 15,240 | 16,045 | 5.3 | 25,598 | 26,327 | 27,417 | 126 |
Longview-Marshall, TX | 4,677 | 4,764 | 5,009 | 5.2 | 22,492 | 22,804 | 23,992 | 232 |
Los Angeles-Long Beach, CA* | 253,406 | 265,291 | 281,835 | 6.2 | 27,208 | 28,111 | 29,522 | 78 |
Louisville, KY-IN | 28,201 | 29,247 | 31,008 | 6.0 | 27,866 | 28,670 | 30,191 | 68 |
Lubbock, TX | 5,475 | 5,594 | 5,978 | 6.9 | 22,851 | 23,235 | 24,613 | 205 |
Lynchburg, VA | 4,704 | 4,910 | 5,194 | 5.8 | 22,169 | 22,976 | 24,141 | 226 |
Macon, GA | 7,490 | 7,814 | 8,234 | 5.4 | 23,505 | 24,357 | 25,474 | 177 |
Madison, WI | 13,090 | 13,737 | 14,679 | 6.9 | 31,152 | 32,456 | 34,301 | 30 |
Mansfield, OH | 3,826 | 3,908 | 4,101 | 4.9 | 21,746 | 22,156 | 23,347 | 249 |
McAllen-Edinburg-Mission, TX | 6,720 | 7,105 | 7,659 | 7.8 | 12,492 | 12,782 | 13,344 | 318 |
Medford-Ashland, OR | 4,005 | 4,246 | 4,468 | 5.2 | 22,670 | 23,687 | 24,563 | 209 |
Melbourne-Titusville-Palm Bay, FL | 11,116 | 11,374 | 12,261 | 7.8 | 23,772 | 24,090 | 25,650 | 171 |
Memphis, TN-AR-MS | 30,687 | 31,775 | 33,329 | 4.9 | 27,625 | 28,222 | 29,275 | 84 |
Merced, CA | 3,545 | 3,742 | 3,924 | 4.9 | 17,528 | 18,100 | 18,536 | 311 |
Miami, FL* | 52,180 | 54,395 | 57,356 | 5.4 | 23,935 | 24,492 | 25,320 | 183 |
Middlesex-Somerset-Hunterdon, NJ* | 43,472 | 45,564 | 49,749 | 9.2 | 38,155 | 39,393 | 42,392 | 5 |
Milwaukee-Waukesha, WI* | 44,776 | 46,566 | 48,860 | 4.9 | 30,032 | 31,122 | 32,538 | 39 |
Minneapolis-St. Paul, MN-WI | 96,082 | 101,215 | 109,236 | 7.9 | 33,308 | 34,518 | 36,666 | 19 |
Missoula, MT | 2,093 | 2,161 | 2,315 | 7.1 | 22,307 | 22,802 | 24,111 | 227 |
Mobile, AL | 11,393 | 11,774 | 12,280 | 4.3 | 21,378 | 21,930 | 22,677 | 274 |
Modesto, CA | 9,178 | 9,650 | 10,302 | 6.8 | 21,407 | 22,001 | 22,889 | 268 |
Monmouth-Ocean, NJ* | 35,161 | 36,478 | 39,362 | 7.9 | 31,952 | 32,721 | 34,812 | 28 |
Monroe, LA | 3,109 | 3,258 | 3,396 | 4.2 | 21,055 | 22,135 | 23,061 | 265 |
Montgomery, AL | 7,860 | 8,251 | 8,584 | 4.0 | 23,899 | 24,915 | 25,740 | 167 |
Muncie, IN | 2,735 | 2,813 | 2,952 | 5.0 | 22,889 | 23,683 | 24,877 | 195 |
Myrtle Beach, SC | 4,043 | 4,309 | 4,616 | 7.1 | 21,737 | 22,461 | 23,315 | 252 |
Naples, FL | 8,951 | 9,538 | 10,198 | 6.9 | 38,357 | 38,916 | 40,121 | 10 |
Nashville, TN | 34,143 | 35,748 | 38,263 | 7.0 | 28,598 | 29,429 | 30,962 | 56 |
Nassau-Suffolk, NY* | 101,028 | 105,063 | 111,360 | 6.0 | 37,229 | 38,387 | 40,353 | 9 |
New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT* | 71,036 | 74,358 | 79,510 | 6.9 | 42,134 | 43,806 | 46,542 | 3 |
New London-Norwich, CT (NECMA) | 7,690 | 7,918 | 8,235 | 4.0 | 29,967 | 30,741 | 31,745 | 49 |
New Orleans, LA | 33,225 | 33,710 | 34,842 | 3.4 | 24,878 | 25,187 | 26,056 | 161 |
New York, NY* | 321,204 | 337,522 | 365,961 | 8.4 | 35,123 | 36,504 | 39,259 | 15 |
Newark, NJ* | 72,871 | 75,398 | 81,529 | 8.1 | 36,321 | 37,298 | 40,061 | 11 |
Newburgh, NY-PA* | 9,167 | 9,590 | 10,211 | 6.5 | 24,411 | 25,125 | 26,211 | 155 |
Norfolk-Virginia Beach-Newport News, VA-NC | 37,362 | 38,836 | 41,180 | 6.0 | 24,154 | 24,929 | 26,159 | 157 |
Oakland, CA* | 78,163 | 84,680 | 95,167 | 12.4 | 33,581 | 35,819 | 39,611 | 13 |
Ocala, FL | 5,251 | 5,448 | 5,780 | 6.1 | 20,996 | 21,367 | 22,191 | 285 |
Odessa-Midland, TX | 6,287 | 5,994 | 6,414 | 7.0 | 25,995 | 24,968 | 27,139 | 131 |
Oklahoma City, OK | 24,684 | 25,793 | 27,606 | 7.0 | 23,226 | 23,969 | 25,436 | 180 |
Olympia, WA* | 5,055 | 5,267 | 5,513 | 4.7 | 25,018 | 25,711 | 26,460 | 150 |
Omaha, NE-IA | 20,377 | 21,682 | 22,895 | 5.6 | 28,932 | 30,459 | 31,866 | 46 |
Orange County, CA* | 87,686 | 92,823 | 99,583 | 7.3 | 31,619 | 32,963 | 34,862 | 27 |
Orlando, FL | 38,426 | 40,731 | 43,921 | 7.8 | 24,508 | 25,330 | 26,523 | 147 |
Owensboro, KY | 2,038 | 2,086 | 2,220 | 6.5 | 22,421 | 22,837 | 24,238 | 222 |
Panama City, FL | 3,274 | 3,345 | 3,483 | 4.1 | 22,274 | 22,575 | 23,479 | 246 |
Parkersburg-Marietta, WV-OH | 3,320 | 3,421 | 3,567 | 4.3 | 21,826 | 22,565 | 23,610 | 244 |
Pensacola, FL | 8,788 | 9,038 | 9,522 | 5.4 | 21,491 | 22,043 | 23,063 | 264 |
Peoria-Pekin, IL | 9,219 | 9,360 | 9,689 | 3.5 | 26,532 | 26,893 | 27,908 | 111 |
Philadelphia, PA-NJ* | 156,407 | 162,631 | 172,229 | 5.9 | 30,868 | 31,985 | 33,742 | 34 |
Phoenix-Mesa, AZ | 77,874 | 82,677 | 90,309 | 9.2 | 25,329 | 26,013 | 27,564 | 120 |
Pine Bluff, AR | 1,575 | 1,606 | 1,670 | 4.0 | 18,619 | 19,080 | 19,826 | 309 |
Pittsburgh, PA | 66,086 | 68,840 | 72,206 | 4.9 | 27,806 | 29,096 | 30,644 | 65 |
Pittsfield, MA (NECMA) | 3,726 | 3,817 | 4,051 | 6.1 | 27,445 | 28,226 | 30,054 | 69 |
Pocatello, ID | 1,469 | 1,523 | 1,597 | 4.9 | 19,629 | 20,162 | 21,141 | 300 |
Portland, ME (NECMA) | 7,649 | 8,026 | 8,447 | 5.3 | 29,309 | 30,408 | 31,773 | 47 |
Portland-Vancouver, OR-WA* | 53,544 | 56,273 | 60,856 | 8.1 | 28,700 | 29,672 | 31,620 | 51 |
Providence-Warwick-Pawtucket, RI (NECMA) | 25,106 | 26,176 | 27,693 | 5.8 | 26,519 | 27,393 | 28,709 | 96 |
Provo-Orem, UT | 6,142 | 6,551 | 7,089 | 8.2 | 17,380 | 18,114 | 19,128 | 310 |
Pueblo, CO | 2,861 | 2,985 | 3,146 | 5.4 | 20,780 | 21,291 | 22,174 | 286 |
Punta Gorda, FL | 3,253 | 3,331 | 3,511 | 5.4 | 23,638 | 23,751 | 24,650 | 203 |
Racine, WI* | 5,076 | 5,209 | 5,470 | 5.0 | 27,042 | 27,654 | 28,949 | 91 |
Raleigh-Durham-Chapel Hill, NC | 33,005 | 35,371 | 38,912 | 10.0 | 29,253 | 30,443 | 32,537 | 40 |
Rapid City, SD | 2,100 | 2,209 | 2,340 | 5.9 | 24,056 | 25,090 | 26,361 | 152 |
Reading, PA | 9,620 | 9,934 | 10,509 | 5.8 | 26,208 | 26,781 | 28,078 | 107 |
Redding, CA | 3,605 | 3,781 | 4,032 | 6.6 | 22,247 | 23,339 | 24,606 | 206 |
Reno, NV | 10,552 | 11,195 | 11,911 | 6.4 | 32,502 | 33,636 | 34,879 | 25 |
Richland-Kennewick-Pasco, WA | 4,150 | 4,269 | 4,598 | 7.7 | 22,279 | 22,582 | 23,872 | 235 |
Richmond-Petersburg, VA | 27,932 | 29,358 | 31,271 | 6.5 | 28,635 | 29,744 | 31,292 | 54 |
Riverside-San Bernardino, CA* | 66,827 | 71,205 | 76,593 | 7.6 | 21,500 | 22,325 | 23,350 | 248 |
Roanoke, VA | 6,288 | 6,493 | 6,883 | 6.0 | 26,766 | 27,579 | 29,181 | 86 |
Rochester, MN | 3,622 | 3,867 | 4,151 | 7.3 | 30,171 | 31,547 | 33,283 | 35 |
Rochester, NY | 29,626 | 30,133 | 31,213 | 3.6 | 27,024 | 27,488 | 28,419 | 101 |
Rockford, IL | 9,165 | 9,419 | 9,769 | 3.7 | 25,083 | 25,570 | 26,253 | 154 |
Rocky Mount, NC | 3,250 | 3,080 | 3,524 | 14.4 | 22,739 | 21,488 | 24,629 | 204 |
Sacramento, CA* | 42,528 | 45,671 | 49,567 | 8.5 | 27,086 | 28,509 | 30,252 | 67 |
Saginaw-Bay City-Midland, MI | 10,028 | 10,320 | 10,772 | 4.4 | 24,846 | 25,590 | 26,733 | 141 |
St. Cloud, MN | 3,700 | 3,826 | 4,067 | 6.3 | 22,650 | 23,124 | 24,210 | 224 |
St. Joseph, MO | 2,204 | 2,303 | 2,455 | 6.6 | 21,715 | 22,601 | 23,944 | 234 |
St. Louis, MO-IL | 75,458 | 77,468 | 81,709 | 5.5 | 29,184 | 29,855 | 31,354 | 52 |
Salem, OR* | 7,574 | 7,999 | 8,354 | 4.4 | 22,391 | 23,253 | 24,000 | 231 |
Salinas, CA | 10,442 | 11,127 | 11,970 | 7.6 | 26,919 | 28,081 | 29,695 | 73 |
Salt Lake City-Ogden, UT | 31,226 | 32,672 | 34,868 | 6.7 | 23,953 | 24,738 | 26,075 | 159 |
San Angelo, TX | 2,338 | 2,404 | 2,520 | 4.8 | 22,475 | 23,136 | 24,235 | 223 |
San Antonio, TX | 36,977 | 38,704 | 41,169 | 6.4 | 23,903 | 24,612 | 25,741 | 166 |
San Diego, CA | 78,156 | 84,493 | 91,850 | 8.7 | 28,558 | 30,289 | 32,515 | 41 |
San Francisco, CA* | 78,465 | 85,983 | 99,425 | 15.6 | 45,683 | 49,830 | 57,414 | 1 |
San Jose, CA* | 66,666 | 76,769 | 92,880 | 21.0 | 40,185 | 45,928 | 55,157 | 2 |
San Luis Obispo-Atascadero-Paso Robles, CA | 5,869 | 6,231 | 6,669 | 7.0 | 24,453 | 25,592 | 26,932 | 135 |
Santa Barbara-Santa Maria-Lompoc, CA | 11,416 | 12,132 | 13,085 | 7.9 | 28,920 | 30,567 | 32,734 | 38 |
Santa Cruz-Watsonville, CA* | 7,686 | 8,398 | 9,610 | 14.4 | 30,636 | 33,107 | 37,567 | 17 |
Santa Fe, NM | 4,226 | 4,395 | 4,626 | 5.2 | 29,261 | 30,007 | 31,249 | 55 |
Santa Rosa, CA* | 13,452 | 14,202 | 16,046 | 13.0 | 30,168 | 31,321 | 34,863 | 26 |
Sarasota-Bradenton, FL | 19,092 | 19,594 | 20,503 | 4.6 | 33,319 | 33,672 | 34,577 | 29 |
Savannah, GA | 7,316 | 7,601 | 8,008 | 5.4 | 25,362 | 26,066 | 27,289 | 128 |
Scranton-Wilkes-Barre-Hazleton, PA | 14,638 | 14,950 | 15,708 | 5.1 | 23,206 | 23,827 | 25,191 | 188 |
Seattle-Bellevue-Everett, WA* | 84,997 | 93,159 | 98,384 | 5.6 | 35,880 | 38,858 | 40,686 | 8 |
Sharon, PA | 2,559 | 2,623 | 2,774 | 5.8 | 21,107 | 21,720 | 23,080 | 263 |
Sheboygan, WI | 2,895 | 3,031 | 3,190 | 5.3 | 25,852 | 27,039 | 28,278 | 104 |
Sherman-Denison, TX | 2,306 | 2,426 | 2,597 | 7.1 | 21,546 | 22,218 | 23,400 | 247 |
Shreveport-Bossier City, LA | 8,780 | 9,031 | 9,404 | 4.1 | 22,529 | 23,083 | 23,972 | 233 |
Sioux City, IA-NE | 2,933 | 2,974 | 3,091 | 3.9 | 23,791 | 24,008 | 24,902 | 192 |
Sioux Falls, SD | 4,671 | 4,958 | 5,322 | 7.3 | 28,406 | 29,413 | 30,675 | 64 |
South Bend, IN | 6,727 | 6,930 | 7,261 | 4.8 | 25,495 | 26,156 | 27,335 | 127 |
Spokane, WA | 9,650 | 9,977 | 10,692 | 7.2 | 23,336 | 24,015 | 25,550 | 176 |
Springfield, IL | 5,541 | 5,695 | 5,976 | 4.9 | 27,466 | 28,286 | 29,651 | 75 |
Springfield, MO | 7,296 | 7,561 | 8,000 | 5.8 | 23,032 | 23,510 | 24,473 | 215 |
Springfield, MA (NECMA) | 15,250 | 15,780 | 16,832 | 6.7 | 25,173 | 25,990 | 27,653 | 117 |
State College, PA | 3,080 | 3,251 | 3,428 | 5.4 | 22,871 | 24,026 | 25,237 | 185 |
Steubenville-Weirton, OH-WV | 2,751 | 2,785 | 2,891 | 3.8 | 20,426 | 20,893 | 21,969 | 289 |
Stockton-Lodi, CA | 11,542 | 12,297 | 13,209 | 7.4 | 21,364 | 22,261 | 23,242 | 258 |
Sumter, SC | 1,964 | 2,040 | 2,148 | 5.3 | 18,620 | 19,464 | 20,493 | 306 |
Syracuse, NY | 17,807 | 18,316 | 19,126 | 4.4 | 24,260 | 25,010 | 26,130 | 158 |
Tacoma, WA* | 16,548 | 17,219 | 18,004 | 4.6 | 24,371 | 24,859 | 25,587 | 173 |
Tallahassee, FL | 6,569 | 6,864 | 7,237 | 5.4 | 23,649 | 24,429 | 25,382 | 181 |
Tampa-St. Petersburg-Clearwater, FL | 61,218 | 63,331 | 67,824 | 7.1 | 26,197 | 26,732 | 28,214 | 105 |
Terre Haute, IN | 3,173 | 3,265 | 3,424 | 4.9 | 21,192 | 21,844 | 22,977 | 266 |
Texarkana, TX-Texarkana, AR | 2,564 | 2,673 | 2,808 | 5.0 | 19,916 | 20,647 | 21,636 | 291 |
Toledo, OH | 15,919 | 16,490 | 17,011 | 3.2 | 25,739 | 26,667 | 27,521 | 123 |
Topeka, KS | 4,369 | 4,478 | 4,724 | 5.5 | 25,799 | 26,418 | 27,784 | 115 |
Trenton, NJ* | 12,521 | 13,071 | 14,385 | 10.1 | 36,397 | 37,512 | 40,954 | 7 |
Tucson, AZ | 18,089 | 19,037 | 20,117 | 5.7 | 22,239 | 22,967 | 23,705 | 241 |
Tulsa, OK | 21,450 | 21,984 | 23,157 | 5.3 | 27,244 | 27,529 | 28,775 | 93 |
Tuscaloosa, AL | 3,605 | 3,753 | 3,903 | 4.0 | 22,062 | 22,826 | 23,652 | 243 |
Tyler, TX | 4,389 | 4,518 | 4,810 | 6.5 | 25,662 | 26,152 | 27,421 | 125 |
Utica-Rome, NY | 6,583 | 6,764 | 7,038 | 4.0 | 21,897 | 22,557 | 23,505 | 245 |
Vallejo-Fairfield-Napa, CA* | 12,820 | 13,731 | 15,597 | 13.6 | 25,628 | 26,888 | 29,880 | 72 |
Ventura, CA* | 20,632 | 22,140 | 24,166 | 9.2 | 28,232 | 29,783 | 31,919 | 45 |
Victoria, TX | 2,025 | 2,078 | 2,231 | 7.3 | 24,305 | 24,748 | 26,533 | 146 |
Vineland-Millville-Bridgeton, NJ* | 3,126 | 3,182 | 3,412 | 7.2 | 21,421 | 21,748 | 23,303 | 254 |
Visalia-Tulare-Porterville, CA | 6,631 | 6,972 | 7,396 | 6.1 | 18,426 | 19,117 | 20,043 | 307 |
Waco, TX | 4,467 | 4,705 | 4,897 | 4.1 | 21,293 | 22,241 | 22,878 | 269 |
Washington, DC-MD-VA-WV* | 170,533 | 182,212 | 198,156 | 8.8 | 35,871 | 37,588 | 40,046 | 12 |
Waterloo-Cedar Falls, IA | 2,966 | 2,946 | 3,116 | 5.8 | 23,216 | 23,053 | 24,373 | 218 |
Wausau, WI | 3,088 | 3,209 | 3,381 | 5.3 | 24,782 | 25,591 | 26,860 | 137 |
West Palm Beach-Boca Raton, FL | 42,948 | 44,169 | 46,589 | 5.5 | 39,182 | 39,545 | 41,007 | 6 |
Wheeling, WV-OH | 3,324 | 3,382 | 3,541 | 4.7 | 21,368 | 21,926 | 23,170 | 260 |
Wichita, KS | 14,502 | 14,638 | 15,236 | 4.1 | 26,868 | 26,908 | 27,904 | 112 |
Wichita Falls, TX | 3,252 | 3,341 | 3,537 | 5.9 | 23,143 | 23,746 | 25,208 | 187 |
Williamsport, PA | 2,563 | 2,632 | 2,788 | 5.9 | 21,257 | 21,904 | 23,252 | 257 |
Wilmington-Newark, DE-MD* | 17,935 | 18,587 | 20,149 | 8.4 | 31,301 | 32,010 | 34,262 | 31 |
Wilmington, NC | 5,363 | 5,625 | 6,034 | 7.3 | 23,777 | 24,443 | 25,738 | 168 |
Yakima, WA | 4,551 | 4,593 | 4,906 | 6.8 | 20,709 | 20,730 | 22,022 | 287 |
Yolo, CA* | 4,049 | 4,341 | 4,589 | 5.7 | 25,035 | 26,265 | 27,038 | 132 |
York, PA | 9,518 | 9,805 | 10,387 | 5.9 | 25,328 | 25,877 | 27,142 | 130 |
Youngstown-Warren, OH | 13,592 | 13,926 | 14,356 | 3.1 | 22,649 | 23,312 | 24,173 | 225 |
Yuba City, CA | 2,717 | 2,983 | 3,158 | 5.9 | 19,828 | 21,600 | 22,624 | 277 |
Yuma, AZ | 2,445 | 2,491 | 2,578 | 3.5 | 16,404 | 16,004 | 16,002 | 315 |
1. Per capita personal income was computed using Census Bureau midyear population estimates. Estimates for 19982000 reflect county population estimates available as of April 2002. 2. Percent change calculated from unrounded data. 3. The personal income level shown 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. 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. 4. 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). |
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