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EMBARGOED UNTIL RELEASE AT 9:00 A.M. EDT, TUESDAY, MAY 6, 2003
Jeffrey Newman (202) 606–9265 (Analysis) BEA 03—15
Kathy Albetski: (202) 606–5360 (Estimates)
E-mail inquiries: RegRelease@bea.gov

METROPOLITAN AREA PERSONAL INCOME AND
PER CAPITA PERSONAL INCOME: 2001

The gap in personal income growth rates for urban and rural areas in 2001 narrowed to its smallest amount since 1996, the last year that rural areas grew faster than urban areas, according to estimates released today by the U.S. Bureau of Economic Analysis. Personal income increased 3.4 percent for metropolitan areas and 2.9 percent for nonmetropolitan areas for a gap of 0.5 percent1.

annual growth in personal income 1989-2001

Although personal income growth decelerated significantly in urban and rural areas in both 1991 and 2001, urban areas grew faster in 2001 while rural areas grew faster in 1991. In 2001, rural areas experienced slowdowns in growth in net earnings (earnings by place of residence) and in dividends, interest and rent from 2000 that were similar to those in urban areas, whereas in 1991, rural areas had an increase in the growth rate of dividends, interest, and rent from 1990.


1Personal income estimates are available only in current dollars.

In both 1991 and 2001, a decline in traditional durable goods manufacturing contributed to the economic slowdown. A decline in construction also contributed to the slowdown in 1991, while a decline in high-tech industries contributed to the slowdown in growth in 2001.

Growth Rates of Personal Income Components: 1990-1991 and 2000-2001
United States: Metro and Nonmetro Areas
  Dividends, Interest
Personal IncomeNet Earningsand RentTransfer Payments
20002001200020012000200120002001
 
United States8.03.37.82.410.62.45.19.4
Metro Areas8.33.48.22.610.72.45.19.4
Nonmetro Areas5.92.94.91.19.72.65.39.2
 
  Dividends, Interest
Personal IncomeNet Earningsand RentTransfer Payments
19901991199019911990199119901991
 
United States6.63.76.22.65.92.010.112.6
Metro Areas6.83.66.32.66.61.710.212.7
Nonmetro Areas5.64.35.62.52.53.29.512.3

Comparison of rural and urban areas by BEA Region, 2001 and 1991

The slow growth years of 2001 and 1991 had some differing effects on the rural and urban areas of BEA regions. The slowdown of 2001 most adversely affected the rural and urban areas of the Great Lakes Region, the rural areas of the Plains Region, and the urban areas of the Far West Region, while the entire New England Region was most affected by the 1991 slowdown.

annual growth in personal income 1991-2001

In 2001, slow growth in net earnings—primarily due to a decline in durable goods manufacturing—most affected the Great Lakes Region. In 1991, net earnings—primarily in construction and durable goods manufacturing—and dividends, interest, and rent declined in New England.

The range of personal income growth was more narrow across the BEA regions in 2001 than it was in 1991. In 2001, growth in personal income ranged from 5.0 percent in the rural areas of the Rocky Mountain Region to 2.0 percent in the rural areas of the Great Lakes Region. In 1991, personal income growth ranged from 6.6 percent in the urban areas of the Rocky Mountain Region to 1.4 percent in the urban areas of the New England Region.

Personal Income Growth by Metropolitan Area, 2001

Four of the six metropolitan areas in the greater San Francisco area (San Jose, Santa Cruz-Watsonville, San Francisco, and Santa Rosa)2 had personal income declines in 2001, after being among the fastest growing metro areas in the Nation in 2000. The 2001 declines in the greater San Francisco area are due primarily to a decline in information technology (IT) industries3. San Jose, CA, which had the fastest growth in personal income in 1999 and 2000, had the largest decline in 2001 at -6.9 percent.

Personal Income Growth Rates for San Francisco-Oakland-San Jose, CA (CMSA)
 
Percent changeRanking
2000200120002001
United States8.03.3....
San Jose, CA22.9-6.91318
Santa Cruz-Watsonville, CA15.8-2.73316
San Francisco, CA18.4-1.72314
Santa Rosa, CA13.4-0.26308
Oakland, CA14.01.75266
Vallejo-Fairfield-Napa, CA10.52.320234

Other metropolitan areas with large percentages of IT industries like Austin-San Marcos, TX, Boulder-Longmont, CO, and Seattle-Bellevue-Everett, WA also had declines in those industries in 2001. However, the effect on personal income was not as great because those areas had more industrial diversification than in San Jose, which had the highest percentage of IT earnings in the Nation. For example, Austin, Boulder, and Seattle all have large research universities located within their metropolitan areas.


2 Designated by the Office of Management and Budget as the San Francisco-Oakland-San Jose, CA consolidated metropolitan statistical area.

3 "Information Technology" industries include the following NAICS categories: Computer and Electronic Manufacturing; Internet Publishing; Telecommunications; Internet Service Providers, Search Portals, and Data Processing; and Professional and Technical Services.

Per Capita Personal Income, 2001

Despite having declines in per capita personal income (PCPI) in 2001, San Francisco and San Jose continue to have the highest PCPI levels in the Nation among metropolitan areas. San Francisco's PCPI of $57,714 was 190 percent of the Nation's PCPI of $30,413, while San Jose's PCPI of $51,579 was 170 percent of the Nation's average. Six of the 10 areas with the highest PCPI levels are from the New York-Northern New Jersey-Long Island consolidated metropolitan statistical area.

The 10 Metropolitan Areas with the Highest Per Capita Incomes in 2001
2000200120002001
 
United States29,76030,413100100
 
San Francisco, CA58,70257,714197190
San Jose, CA55,67751,579187170
New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT47,28648,453159159
Bergen-Passaic, NJ42,79943,856144144
West Palm Beach-Boca Raton, FL41,94543,626141143
Middlesex-Somerset-Hunterdon, NJ43,05143,292145142
Newark, NJ41,29142,550139140
Trenton, NJ40,91142,317137139
Washington, DC-MD-VA-WV40,53641,754136137
Nassau-Suffolk, NY40,97841,559138137

Three Texas border areas (McAllen-Edinburg-Mission, Brownsville-Harlingen-San Benito, and Laredo) had the lowest PCPI levels in 2001. However, due to above average personal income growth, the relative values of PCPI in 2001 for these border areas held steady despite having increases in population that were 2 to 3 times higher than the 1.1 percent increase of the Nation.

The 10 Metropolitan Areas with the Lowest Per Capita Incomes in 2001
DollarsPercent of U.S.
2000200120002001
 
United States29,76030,413100100
 
Visalia-Tulare-Porterville, CA19,53920,1666666
Provo-Orem, UT19,04619,2716463
El Paso, TX18,39819,1866263
Auburn-Opelika, AL18,71418,9236362
Merced, CA18,26818,4616161
Las Cruces, NM17,09017,9845759
Yuma, AZ15,81916,8395355
Laredo, TX15,01115,5085051
Brownsville-Harlingen-San Benito, TX14,95415,3345050
McAllen-Edinburg-Mission, TX13,23813,7884445
Note on 2001 NAICS

Beginning with 2001, earnings by industry estimates for local areas are based on the North American Industry Classification System (NAICS). Estimates of earnings by industry for 1969-2000 are based on the Standard Industrial Classification System.

Note about data on BEA Web site

The complete set of income and employment estimates for 1969-2001 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 www.bea.gov/regional/reis/ to access these estimates.

A narrative summary, BEA Regional Facts (BEARFACTS), of personal income, per capita personal income, and components of income for each metropolitan area and for counties for any ten-year period (i.e. 1991-2001) is available interactively on BEA's Web site. Go to www.bea.gov/regional/bearfacts/ to access these summaries.

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 work (the sum of wage and salary disbursements, 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 in the United States is derived as the sum of the state 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 the annual total personal income of residents divided by 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 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, international, regional, and industry estimates; the Survey of Current Business; and BEA news releases are available without charge on BEA's Web site:

Summary BEA estimates are available on recorded messages as follows: Gross domestic product, (202) 606-5306; personal income and outlays, 606-5303; and U.S. international transactions, 606-5362.


 
Table 1. Personal Income and Per Capita Personal Income by Metropolitan Area 1999–2001
 Personal IncomePer capita personal income1
  (millions of dollars) Percent change 2000-20012 (dollars) Rank in U.S.
Area name 1999 2000 2001 1999 2000 2001
United States3 7,779,521 8,398,871 8,677,490 3.3 27,880 29,760 30,413 .
Metropolitan portion 6,633,219 7,185,218 7,428,050 3.4 29,616 31,680 32,336 .
Nonmetropolitan portion 1,146,302 1,213,653 1,249,440 2.9 20,818 21,901 22,472 .
 
Consolidated Metropolitan Statistical Areas
Chicago-Gary-Kenosha, IL-IN-WI 298,061 321,557 331,277 3.0 32,771 35,028 35,751 .
Cincinnati-Hamilton, OH-KY-IN 57,342 60,627 62,758 3.5 29,124 30,559 31,419 .
Cleveland-Akron, OH 86,292 90,686 92,446 1.9 29,293 30,773 31,368 .
Dallas-Fort Worth, TX 159,254 175,700 180,072 2.5 31,106 33,412 33,247 .
Denver-Boulder-Greeley, CO 85,768 96,583 100,284 3.8 33,878 37,158 37,607 .
Detroit-Ann Arbor-Flint, MI 169,736 180,724 182,894 1.2 31,182 33,067 33,314 .
Houston-Galveston-Brazoria, TX 143,594 157,975 167,954 6.3 31,218 33,632 34,916 .
Los Angeles-Riverside-Orange County, CA 450,650 484,858 508,187 4.8 27,842 29,488 30,360 .
Miami-Fort Lauderdale, FL 100,297 107,399 112,446 4.7 26,289 27,576 28,325 .
Milwaukee-Racine, WI 51,745 54,859 56,513 3.0 30,716 32,436 33,308 .
New York-No. New Jersey-Long Island, NY-NJ-CT-PA 774,091 846,883 872,675 3.0 36,943 40,046 40,949 .
Philadelphia-Wilmington-Atlantic City, PA-NJ-DE-MD 194,331 209,100 216,243 3.4 31,526 33,750 34,750 .
Portland-Salem, OR-WA 64,163 69,645 71,520 2.7 28,638 30,619 30,822 .
Sacramento-Yolo, CA 49,898 54,257 57,143 5.3 28,235 29,996 30,571 .
San Francisco-Oakland-San Jose, CA 283,381 333,236 326,824 -1.9 40,605 47,180 45,778 .
Seattle-Tacoma-Bremerton, WA 121,336 129,721 132,586 2.2 34,428 36,386 36,669 .
Washington-Baltimore, DC-MD-VA-WV 264,060 287,952 302,650 5.1 35,119 37,684 38,915 .
 
Metropolitan Statistical Areas4
Abilene, TX 3,001 3,184 3,051 -4.2 23,757 25,179 24,304 246
Akron, OH* 19,258 20,362 20,905 2.7 27,784 29,258 29,953 91
Albany, GA 2,646 2,776 2,852 2.7 21,951 22,975 23,275 277
Albany-Schenectady-Troy, NY 24,982 26,732 27,956 4.6 28,583 30,503 31,789 62
Albuquerque, NM 17,295 18,436 19,531 5.9 24,489 25,794 27,030 159
Alexandria, LA 2,885 3,070 3,297 7.4 22,877 24,282 26,053 181
Allentown-Bethlehem-Easton, PA 17,521 18,796 19,520 3.8 27,579 29,421 30,317 86
Altoona, PA 2,999 3,146 3,173 0.8 23,110 24,382 24,682 234
Amarillo, TX 5,052 5,344 5,367 0.4 23,407 24,468 24,365 243
Anchorage, AK 8,674 9,200 9,755 6.0 33,447 35,307 36,949 22
Ann Arbor, MI* 18,277 20,022 20,125 0.5 32,072 34,403 33,965 38
Anniston, AL 2,376 2,392 2,452 2.5 20,675 21,486 22,035 295
Appleton-Oshkosh-Neenah, WI 9,604 10,290 10,746 4.4 27,030 28,626 29,579 97
Asheville, NC 5,760 6,114 6,256 2.3 25,747 26,970 27,378 148
Athens, GA 3,405 3,613 3,755 3.9 22,527 23,452 24,085 252
Atlanta, GA 126,446 139,019 144,477 3.9 31,534 33,507 33,769 41
Atlantic-Cape May, NJ* 10,367 11,135 11,273 1.2 29,404 31,328 31,511 66
Auburn-Opelika, AL 2,023 2,161 2,210 2.3 17,918 18,714 18,923 312
Augusta-Aiken, GA-SC 10,819 11,489 11,876 3.4 22,805 24,033 24,721 233
Austin-San Marcos, TX 36,852 40,712 41,673 2.4 30,560 32,185 31,511 66
Bakersfield, CA 12,815 13,637 14,236 4.4 19,553 20,543 21,021 306
Baltimore, MD* 78,303 83,987 87,832 4.6 30,824 32,837 34,039 36
Bangor, ME (NECMA)  3,229 3,461 3,651 5.5 22,287 23,889 25,097 221
Barnstable-Yarmouth, MA (NECMA)  7,348 7,881 8,159 3.5 33,557 35,303 36,135 28
Baton Rouge, LA 14,488 15,246 15,836 3.9 24,221 25,228 26,032 183
Beaumont-Port Arthur, TX 8,752 9,115 9,307 2.1 22,730 23,689 24,296 247
Bellingham, WA 3,699 3,950 4,192 6.1 22,474 23,567 24,564 239
Benton Harbor, MI 4,041 4,219 4,185 -0.8 24,941 25,942 25,826 189
Bergen-Passaic, NJ* 53,208 58,913 60,735 3.1 38,885 42,799 43,856 4
Billings, MT 3,202 3,450 3,635 5.4 24,869 26,628 27,891 137
Biloxi-Gulfport-Pascagoula, MS 8,064 8,502 8,685 2.2 22,336 23,304 23,679 266
Binghamton, NY 5,987 6,344 6,463 1.9 23,686 25,167 25,669 201
Birmingham, AL 25,654 27,170 28,450 4.7 27,969 29,437 30,620 81
Bismarck, ND 2,276 2,460 2,618 6.4 24,155 25,944 27,461 144
Bloomington, IN 2,763 2,979 3,062 2.8 22,964 24,684 25,302 213
Bloomington-Normal, IL 4,206 4,511 4,679 3.7 28,200 29,897 30,761 77
Boise City, ID 11,424 12,776 13,153 3.0 27,135 29,294 29,109 109
Boston-Worcester-Lawrence-Lowell-Brocktn, MA-NH (NECMA)  211,837 237,575 244,142 2.8 35,178 39,125 39,873 16
Boulder-Longmont, CO* 10,384 11,850 12,223 3.1 36,319 40,447 40,840 13
Brazoria, TX* 5,582 6,185 6,409 3.6 23,494 25,426 25,695 200
Bremerton, WA* 5,699 6,162 6,388 3.7 24,844 26,497 27,427 147
Brownsville-Harlingen-San Benito, TX 4,665 5,038 5,283 4.9 14,125 14,954 15,334 317
Bryan-College Station, TX 2,882 3,122 3,233 3.6 19,190 20,429 21,028 305
Buffalo-Niagara Falls, NY 30,386 31,895 32,454 1.8 25,902 27,284 27,852 139
Burlington, VT (NECMA)  5,579 6,035 6,360 5.4 28,315 30,250 31,591 64
Canton-Massillon, OH 10,160 10,635 10,830 1.8 24,964 26,133 26,620 171
Casper, WY 1,967 2,216 2,224 0.3 29,680 33,301 33,274 43
Cedar Rapids, IA 5,738 6,147 6,278 2.1 30,211 31,977 32,391 52
Champaign-Urbana, IL 4,296 4,656 4,863 4.4 24,048 25,874 26,808 168
Charleston-North Charleston, SC 12,671 13,594 14,177 4.3 23,199 24,694 25,543 204
Charleston, WV 6,728 7,104 7,442 4.8 26,638 28,256 29,847 94
Charlotte-Gastonia-Rock Hill, NC-SC 43,384 46,785 48,815 4.3 29,481 30,993 31,526 65
Charlottesville, VA 4,634 5,013 5,123 2.2 29,450 31,269 31,657 63
Chattanooga, TN-GA 11,947 12,694 12,738 0.3 25,823 27,254 27,213 155
Cheyenne, WY 2,191 2,333 2,469 5.8 27,052 28,547 30,074 90
Chicago, IL* 275,684 297,811 306,730 3.0 33,569 35,907 36,624 25
Chico-Paradise, CA 4,258 4,535 4,701 3.6 21,155 22,255 22,818 287
Cincinnati, OH-KY-IN* 48,424 51,222 53,075 3.6 29,561 31,040 31,967 59
Clarksville-Hopkinsville, TN-KY 4,319 4,673 4,802 2.8 21,079 22,510 23,017 282
Cleveland-Lorain-Elyria, OH* 67,035 70,324 71,541 1.7 29,757 31,241 31,807 61
Colorado Springs, CO 13,880 15,266 15,682 2.7 27,267 29,388 29,280 105
Columbia, MO 3,453 3,721 3,850 3.4 25,752 27,396 28,020 133
Columbia, SC 14,108 15,083 15,567 3.2 26,555 28,021 28,578 120
Columbus, GA-AL 6,478 6,872 7,136 3.8 23,654 24,992 25,909 186
Columbus, OH 44,563 47,519 49,093 3.3 29,228 30,737 31,343 69
Corpus Christi, TX 8,478 8,995 9,221 2.5 22,208 23,628 24,280 248
Corvallis, OR 2,191 2,317 2,403 3.7 27,995 29,650 30,709 78
Cumberland, MD-WV 2,014 2,114 2,201 4.1 19,656 20,756 21,694 302
Dallas, TX* 113,010 125,424 126,926 1.2 32,774 35,383 34,697 33
Danville, VA 2,194 2,319 2,335 0.7 19,894 21,074 21,280 304
Davenport-Moline-Rock Island, IA-IL 9,264 9,791 9,988 2.0 25,753 27,283 27,879 138
Dayton-Springfield, OH 26,119 27,251 27,811 2.1 27,402 28,677 29,340 103
Daytona Beach, FL 10,763 11,533 12,040 4.4 22,114 23,273 23,827 264
Decatur, AL 3,403 3,540 3,695 4.4 23,432 24,236 25,233 215
Decatur, IL 3,058 3,194 3,222 0.9 26,563 27,901 28,417 123
Denver, CO* 71,496 80,516 83,704 4.0 34,515 37,924 38,513 17
Des Moines, IA 13,766 14,545 15,318 5.3 30,550 31,777 32,991 47
Detroit, MI* 140,791 149,689 151,753 1.4 31,716 33,665 34,035 37
Dothan, AL 3,072 3,228 3,330 3.1 22,360 23,386 24,030 254
Dover, DE 2,877 3,047 3,084 1.2 22,906 23,974 23,940 260
Dubuque, IA 2,176 2,305 2,394 3.9 24,465 25,825 26,889 163
Duluth-Superior, MN-WI 5,984 6,389 6,571 2.8 24,615 26,202 26,873 166
Dutchess County, NY* 8,029 8,702 9,196 5.7 28,925 30,987 32,349 53
Eau Claire, WI 3,600 3,837 3,872 0.9 24,426 25,817 25,899 188
El Paso, TX 11,874 12,546 13,230 5.4 17,581 18,398 19,186 311
Elkhart-Goshen, IN 4,614 4,852 4,833 -0.4 25,544 26,436 26,050 182
Elmira, NY 2,150 2,298 2,325 1.2 23,549 25,246 25,638 202
Enid, OK 1,321 1,378 1,421 3.1 22,704 23,896 24,780 230
Erie, PA 6,618 6,975 7,156 2.6 23,527 24,847 25,495 206
Eugene-Springfield, OR 7,849 8,292 8,420 1.5 24,392 25,641 25,963 185
Evansville-Henderson, IN-KY 7,817 8,288 8,650 4.4 26,445 27,970 29,185 106
Fargo-Moorhead, ND-MN 4,533 4,811 4,992 3.8 26,216 27,538 28,372 124
Fayetteville, NC 7,151 7,587 7,777 2.5 23,710 25,054 25,729 198
Fayetteville-Springdale-Rogers, AR 6,813 7,356 7,936 7.9 22,464 23,461 24,585 237
Flagstaff, AZ-UT 2,558 2,771 2,884 4.1 21,086 22,577 23,311 275
Flint, MI* 10,667 11,013 11,016 0.0 24,556 25,204 25,105 219
Florence, AL 2,954 3,091 3,140 1.6 20,759 21,615 22,037 294
Florence, SC 2,903 3,103 3,251 4.8 23,107 24,666 25,742 197
Fort Collins-Loveland, CO 6,657 7,512 7,849 4.5 26,966 29,700 30,198 89
Fort Lauderdale, FL* 45,084 48,383 51,370 6.2 28,281 29,629 30,702 79
Fort Myers-Cape Coral, FL 11,477 12,523 13,563 8.3 26,568 28,215 29,540 99
Fort Pierce-Port St. Lucie, FL 9,064 9,608 10,033 4.4 28,653 29,965 30,601 83
Fort Smith, AR-OK 4,304 4,632 4,839 4.5 21,029 22,270 23,048 280
Fort Walton Beach, FL 4,344 4,531 4,768 5.2 25,698 26,505 27,674 142
Fort Wayne, IN 13,234 14,022 14,070 0.3 26,558 27,867 27,819 140
Fort Worth-Arlington, TX* 46,244 50,277 53,146 5.7 27,663 29,337 30,230 88
Fresno, CA 18,282 19,332 20,219 4.6 20,061 20,878 21,463 303
Gadsden, AL 2,121 2,211 2,253 1.9 20,397 21,400 21,865 298
Gainesville, FL 5,121 5,423 5,635 3.9 23,727 24,841 25,572 203
Galveston-Texas City, TX* 6,411 6,839 7,088 3.6 25,758 27,272 27,786 141
Gary, IN* 16,197 17,240 17,825 3.4 25,685 27,282 28,094 130
Glens Falls, NY 2,756 2,934 2,986 1.7 22,211 23,599 23,952 258
Goldsboro, NC 2,249 2,416 2,459 1.8 19,871 21,319 21,738 301
Grand Forks, ND-MN 2,264 2,388 2,444 2.3 23,125 24,562 25,351 212
Grand Junction, CO 2,699 2,922 3,007 2.9 23,509 25,019 25,366 210
Grand Rapids-Muskegon-Holland, MI 28,993 30,747 31,462 2.3 26,909 28,145 28,471 121
Great Falls, MT 1,908 2,013 2,072 2.9 23,669 25,106 26,016 184
Greeley, CO* 3,888 4,217 4,357 3.3 22,301 23,016 22,469 290
Green Bay, WI 6,431 6,834 7,005 2.5 28,605 30,052 30,535 85
Greensboro-Winston-Salem-High Point, NC 33,981 36,054 36,626 1.6 27,452 28,707 28,774 115
Greenville, NC 2,940 3,291 3,362 2.2 22,179 24,526 24,854 225
Greenville-Spartanburg-Anderson, SC 23,013 24,655 25,239 2.4 24,159 25,534 25,818 191
Hagerstown, MD* 3,035 3,257 3,375 3.6 23,139 24,655 25,404 209
Hamilton-Middletown, OH* 8,917 9,404 9,682 3.0 26,961 28,184 28,718 116
Harrisburg-Lebanon-Carlisle, PA 17,748 18,649 19,476 4.4 28,256 29,611 30,829 76
Hartford, CT (NECMA)  39,199 42,490 43,836 3.2 34,345 36,915 37,819 19
Hattiesburg, MS 2,282 2,412 2,533 5.0 20,628 21,517 22,351 291
Hickory-Morganton-Lenoir, NC 8,159 8,648 8,675 0.3 24,141 25,205 24,988 224
Honolulu, HI 25,385 26,644 27,511 3.3 28,882 30,420 31,115 72
Houma, LA 3,955 4,220 4,600 9.0 20,328 21,697 23,540 268
Houston, TX* 131,601 144,951 154,457 6.6 31,995 34,487 35,872 29
Huntington-Ashland, WV-KY-OH 6,319 6,626 6,841 3.2 20,002 21,021 21,793 299
Huntsville, AL 8,837 9,549 9,987 4.6 26,023 27,800 28,684 118
Indianapolis, IN 46,760 50,256 52,244 4.0 29,427 31,155 31,960 60
Iowa City, IA 3,094 3,343 3,524 5.4 28,172 30,018 31,203 71
Jackson, MI 3,705 3,909 3,902 -0.2 23,588 24,628 24,415 241
Jackson, MS 11,091 11,746 12,210 3.9 25,360 26,583 27,428 146
Jackson, TN 2,526 2,697 2,683 -0.5 23,740 25,076 24,674 235
Jacksonville, FL 29,903 32,189 33,416 3.8 27,475 29,161 29,625 96
Jacksonville, NC 3,300 3,448 3,559 3.2 22,056 22,952 23,945 259
Jamestown, NY 2,855 2,990 3,038 1.6 20,383 21,419 21,897 297
Janesville-Beloit, WI 3,783 3,936 3,976 1.0 24,961 25,802 25,908 187
Jersey City, NJ* 15,674 17,130 17,552 2.5 25,950 28,100 28,584 119
Johnson City-Kingsport-Bristol, TN-VA 10,233 10,894 11,282 3.6 21,409 22,676 23,473 271
Johnstown, PA 5,029 5,212 5,344 2.5 21,489 22,441 23,141 279
Jonesboro, AR 1,715 1,811 1,841 1.6 21,165 21,952 22,147 293
Joplin, MO 3,341 3,535 3,654 3.4 21,438 22,413 23,019 281
Kalamazoo-Battle Creek, MI 11,314 11,815 11,912 0.8 25,051 26,063 26,207 178
Kankakee, IL* 2,357 2,512 2,580 2.7 22,731 24,184 24,749 232
Kansas City, MO-KS 52,969 57,032 58,978 3.4 30,063 32,000 32,693 49
Kenosha, WI* 3,823 3,994 4,143 3.7 25,774 26,609 27,217 154
Killeen-Temple, TX 6,785 7,163 7,406 3.4 22,019 22,797 23,415 272
Knoxville, TN 17,138 18,356 19,035 3.7 25,147 26,636 27,330 152
Kokomo, IN 2,778 2,920 2,847 -2.5 27,419 28,762 28,038 132
La Crosse, WI-MN 3,166 3,356 3,525 5.0 25,121 26,420 27,626 143
Lafayette, LA 8,131 8,641 9,247 7.0 21,167 22,395 23,881 262
Lafayette, IN 4,179 4,476 4,642 3.7 23,034 24,416 25,141 218
Lake Charles, LA 4,016 4,118 4,383 6.4 21,895 22,436 23,935 261
Lakeland-Winter Haven, FL 10,600 11,275 11,800 4.7 22,173 23,224 23,991 256
Lancaster, PA 12,415 13,387 13,699 2.3 26,534 28,382 28,863 110
Lansing-East Lansing, MI 11,508 12,116 12,287 1.4 25,740 27,023 27,253 153