 |
Available for this release:  Full Release: PDF (492 kb),  Tables: XLS (1,310 kb)
EMBARGOED FOR RELEASE: 8:30 A.M. EDT, Tuesday, May 25, 2004
| Jeffrey Newman |
(202) |
606–9265 |
BEA 04—21 |
| Kathy Albetski |
(202) |
606–5360 |
| E-mail inquiries: |
RegRelease@bea.gov |
INCOME OF SMALLEST METROPOLITAN AREAS GREW FASTEST IN 2002
Local Area Personal and Per Capita Income
Personal income grew twice as fast in 2002 in the smallest metropolitan statistical areas (MSAs) as in metropolitan areas with population levels over 1 million, according to estimates released today by the U.S. Bureau of Economic Analysis. Personal income grew 3.6 percent in the 191 MSAs with population levels below 250,000, compared with a 1.8 percent increase in the 49 MSAs with population levels over 1 million.
The MSAs with population below 250,000 had the fastest growth in personal income in consecutive years (2001–2002) for the first time since 1991–94. The largest MSAs had the fastest growth in personal income for 6 consecutive years (1995–2000), peaking with an increase of 9.0 percent in 2000.
New Metropolitan Area Definitions
The metropolitan area definitions used by BEA for its entire series of personal income estimates (1969–2002) are the new definitions issued by the Office of Management and Budget (OMB) in June 2003 (with revisions released February 2004) for federal statistical purposes. The new metropolitan areas are county-based, just like the previous definitions. Please refer to the "Definitions" section at the end of this release for more information.
Growth in net earnings by place-of-residence decelerated more slowly in the smallest MSAs than in both the largest and medium-sized MSAs from 2000–2002. In addition, net earnings accounted for only 65 percent of personal income in the smallest MSAs, compared with 67 percent in the medium-sized and 71 percent in the largest MSAs.
Personal Income Growth Rates for Metropolitan Areas by Population Levels
| |
Personal income |
Net earnings |
| 1998 |
1999 |
2000 |
2001 |
2002 |
1998 |
1999 |
2000 |
2001 |
2002 |
| United States |
7.4 |
5.1 |
8.0 |
3.3 |
2.3 |
8.0 |
6.9 |
8.2 |
3.0 |
1.4 |
| Metro Areas Grouped by Population Levels |
|
|
|
|
|
|
|
|
|
|
| MSAs 250,000 |
6.3 |
4.1 |
6.4 |
3.9 |
3.6 |
6.4 |
5.6 |
5.7 |
3.5 |
3.0 |
| 250,000 ≤ MSA ≤ 1,000,000 |
6.8 |
4.6 |
7.3 |
3.4 |
2.9 |
7.1 |
6.1 |
7.2 |
3.1 |
2.2 |
| MSAs > 1,000,000 |
8.1 |
5.8 |
9.0 |
3.1 |
1.8 |
9.0 |
7.7 |
9.5 |
2.9 |
0.9 |
| |
In the largest MSAs, earnings decreased in the following industrial categories: information technology1; securities, commodity contracts, investments; transportation and warehousing; and durable goods manufacturing. In the smallest and medium-sized MSAs, earnings either decreased less or grew slightly in these industries. In addition, these industries comprised 30 percent of total earnings in the largest MSAs, compared with 25 percent in the medium-sized, and 21 percent in the smallest MSAs in 2002.
1"Information Technology" industries include the following North American Industrial Classification System (NAICS) categories: Computer and Electronic Manufacturing; Internet Publishing; Telecommunications; Internet Service Providers, Search Portals, and Data Processing; and Professional and Technical Services.
Personal Income Growth by Metropolitan Area, 2000–2002
Six of the 10 fastest growing metropolitan areas in 2002 are located along the Mexican border. The rapid growth of these areas reflected a combination of above average increases in per capita net earnings and personal current transfer receipts and above average population growth. Yuma, AZ had the fastest growth in personal income in both 2001 and 2002, primarily due to large increases in farm earnings, after being the third slowest growing area in 2000.
Total Personal Income for Metropolitan Statistical Areas
| |
Percent change |
Rank |
| 2000 |
2001 |
2002 |
2000 |
2001 |
2002 |
| United States |
8.0 |
3.3 |
2.3 |
.. |
.. |
.. |
| Fastest Growing Areas |
|
|
|
|
|
|
| Yuma, AZ |
1.4 |
11.8 |
15.6 |
359 |
1 |
1 |
| El Centro, CA |
-3.4 |
8.1 |
8.7 |
361 |
17 |
2 |
| Fort Walton Beach-Crestview-Destin, FL |
5.0 |
5.7 |
7.9 |
284 |
63 |
3 |
| Valdosta, GA |
5.3 |
4.5 |
7.5 |
267 |
121 |
4 |
| Las Cruces, NM |
4.1 |
9.8 |
7.3 |
327 |
6 |
5 |
| McAllen-Edinburg-Pharr, TX |
8.9 |
8.3 |
7.3 |
59 |
15 |
5 |
| Hanford-Corcoran, CA |
4.9 |
10.4 |
7.1 |
292 |
5 |
7 |
| Warner Robins, GA |
7.2 |
4.2 |
7.0 |
142 |
146 |
8 |
| Laredo, TX |
9.4 |
9.6 |
6.9 |
41 |
8 |
9 |
| Brownsville-Harlingen, TX |
8.1 |
6.3 |
6.7 |
87 |
42 |
10 |
| Fayetteville, NC |
6.1 |
3.4 |
6.7 |
209 |
201 |
10 |
| |
Four of the 5 metropolitan areas with the slowest growth in personal income in 2002 were in the top 5 in growth in 2000.
Total Personal Income for Metropolitan Statistical Areas
| |
Percent change |
Rank |
| 2000 |
2001 |
2002 |
2000 |
2001 |
2002 |
| United States |
8.0 |
3.3 |
2.3 |
.. |
.. |
.. |
| Slowest Growing Areas |
|
|
|
|
|
|
| Decatur, AL |
3.1 |
5.0 |
0.2 |
353 |
88 |
352 |
| Boston-Cambridge-Quincy, MA-NH |
12.1 |
3.3 |
0.0 |
12 |
210 |
353 |
| Springfield, OH |
3.6 |
0.7 |
0.0 |
346 |
325 |
353 |
| Decatur, IL |
3.0 |
1.3 |
-0.4 |
354 |
309 |
355 |
| Austin-Round Rock, TX |
10.0 |
4.8 |
-1.1 |
32 |
98 |
356 |
| Santa Cruz-Watsonville, CA |
17.0 |
-1.7 |
-1.4 |
2 |
354 |
357 |
| Bridgeport-Stamford-Norwalk, CT |
10.0 |
4.2 |
-1.8 |
32 |
146 |
358 |
| San Francisco-Oakland-Fremont, CA |
15.4 |
0.1 |
-2.4 |
4 |
338 |
359 |
| Boulder, CO2 |
14.8 |
2.2 |
-6.6 |
5 |
273 |
360 |
| San Jose-Sunnyvale-Santa Clara, CA |
24.9 |
-7.9 |
-7.0 |
1 |
361 |
361 |
| |
2 In 2002, the Boulder, CO MSA geography changed. In that year, Broomfield County was created from parts of 4 counties (Adams, Boulder, Jefferson, and Weld), and the county was made part of the Denver-Aurora metropolitan area. The effect was to reduce Boulder and increase Denver by over 20,000 population. Personal income was similarly affected.
Per capita Personal Income, 2002
Bridgeport-Stamford-Norwalk, CT had the highest per capita income (PCPI) in 2002. All 10 metropolitan areas with the highest levels of PCPI in 2001 remained in the top 10 in 2002, despite five of these areas having declines in PCPI levels.
Per Capita Personal Income for Metropolitan Statistical Areas
| |
Dollars |
Percent of U.S. |
| 2001 |
2002 |
2001 |
2002 |
| United States |
30,527 |
30,906 |
100.0 |
100.0 |
| Highest per capita levels |
|
|
|
|
| Bridgeport-Stamford-Norwalk, CT |
61,130 |
59,727 |
200.2 |
193.3 |
| San Francisco-Oakland-Fremont, CA |
47,906 |
46,920 |
156.9 |
151.8 |
| San Jose-Sunnyvale-Santa Clara, CA |
48,981 |
45,925 |
160.5 |
148.6 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV |
42,241 |
42,773 |
138.4 |
138.4 |
| Boston-Cambridge-Quincy, MA-NH |
42,501 |
42,436 |
139.2 |
137.3 |
| Naples-Marco Island, FL |
42,129 |
42,050 |
138.0 |
136.1 |
| Trenton-Ewing, NJ |
40,193 |
40,711 |
131.7 |
131.7 |
| New York-Northern New Jersey-Long Island, NY-NJ-PA |
40,664 |
40,680 |
133.2 |
131.6 |
| Boulder, CO |
40,405 |
40,474 |
132.4 |
131.0 |
| Vero Beach, FL |
39,437 |
39,830 |
129.2 |
128.9 |
| Lowest per capita levels |
|
|
|
|
| El Paso, TX |
19,349 |
20,129 |
63.4 |
65.1 |
| St. George, UT |
19,856 |
20,059 |
65.0 |
64.9 |
| Logan, UT-ID |
19,564 |
19,772 |
64.1 |
64.0 |
| Madera, CA |
18,901 |
19,617 |
61.9 |
63.5 |
| Provo-Orem, UT |
19,697 |
19,594 |
64.5 |
63.4 |
| Hanford-Corcoran, CA |
17,693 |
18,581 |
58.0 |
60.1 |
| Hinesville-Fort Stewart, GA |
17,416 |
17,919 |
57.1 |
58.0 |
| Laredo, TX |
16,007 |
16,593 |
52.4 |
53.7 |
| Brownsville-Harlingen, TX |
15,516 |
16,126 |
50.8 |
52.2 |
| McAllen-Edinburg-Pharr, TX |
14,278 |
14,769 |
46.8 |
47.8 |
| |
Seven of the 10 metropolitan areas with the lowest levels of PCPI in 2002 had gains relative to the U.S. PCPI. McAllen-Edinburg-Pharr, TX, Brownsville-Harlingen, TX, and Laredo, TX remained the metropolitan areas with the lowest PCPI levels, though these three areas were among the 10 fastest growing areas in terms of personal income.
Comprehensive revision of the state personal income estimates
The annual estimates (1969–2002) of local area personal income have been revised to incorporate the comprehensive revision of the national income and product accounts (NIPAs)** that was released on December 10, 2003 and the comprehensive revision of state personal income that was released on April 27, 2004. The revised annual estimates of county and metropolitan area personal income are released today and are available on BEA's Web site www.bea.gov.
The major definitional changes that affect the components of personal income are the new treatment of banking services, which lowers personal interest income, and the new treatment of insurance services, which raises personal interest income and, in the most recent years, raises personal current transfer receipts.
The revised estimates also reflect the incorporation of newly available and revised source data and improved estimating methodologies. Some of the newly available source data that affect the local area personal income estimates are the following: Bureau of the Census 2000 decennial census journey-to-work information; Internal Revenue Service tabulations of 2000 income tax returns of sole proprietors and partnerships and 2001 tabulations of dividends, interest, and rent from individual tax returns; U.S. Department of Agriculture farm income and expense statistics for 2002; and Bureau of Labor Statistics tabulations of wages and salaries for 2002.
The revisions to personal income levels for two-thirds of the metropolitan areas in 2001 ranged between 2.4 percent and -1.5 percent. These metropolitan areas accounted for 74 percent of the U.S. personal income. Personal income for the nation was revised up 0.3 percent.
Articles previewing the NIPA comprehensive revision were featured in the June, August, and September 2003 issues of the Survey of Current Business, and an article in the February 2004 issue provided more detailed information on the effects of the revision on the U.S. estimates. See the February 2004 Survey of Current Business, "Improved Estimates of the National Income and Product Accounts for 1929–2002: Results of the Comprehensive Revision", pages 7-29. For the comprehensive revision of state personal income estimates, see the May 2004 Survey of Current Business, "Comprehensive Revision of State Personal Income: Preliminary Estimates for 2003, Revised Estimates for 1969–2002", pages 27-90. For the comprehensive revision of local area personal income estimates, a more detailed discussion will be presented in the June 2004 issue of the Survey.
** NOTE.— Comprehensive revisions, which are carried out about every 4 to 5 years, are an important part of BEA's regular process for improving and modernizing its accounts to keep pace with the ever-changing U.S. economy. Such revisions differ from annual revisions because of the scope of the changes and because of the number of years subject to revision. Comprehensive revisions incorporate three major types: (1) definitional and classificational changes that update the accounts to portray more accurately the evolving U.S. economy, (2) statistical changes that update the national and regional accounts to reflect the introduction of new and improved methodologies and the incorporation of newly available and revised source data, and (3) presentational changes that update the tables to reflect definitional, classificational, and statistical changes and to make the tables more informative.
Note about data on BEA Web site
The complete set of income and employment estimates for 1969–2002 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, personal current transfer receipts, 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.
BEA Regional Facts (BEARFACTS), a narrative summary of personal income, per capita personal income, and components of income for metropolitan areas and counties, is available 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 June 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 all sources. Personal income is the sum of net earnings by place of residence, rental income of persons, personal dividend income, personal interest income, and personal current transfer receipts. Net earnings is earnings by place of work (the sum of wage and salary disbursements (payrolls), supplements to wages and salaries, and proprietors' income) less government 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 (NIPAs) 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 calculated as the personal income of residents of a given area divided by the resident population of the area. In computing per capita personal income, BEA uses the Census Bureau's annual midyear population estimates.
The metropolitan area definitions used by BEA for its entire series of personal income estimates are the new county-based definitions issued by the Office of Management and Budget (OMB) in June 2003 (with revisions released in February 2004) 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. The personal income and per capita personal income estimates for the 361 MSAs are shown in Table 1. Detailed personal income estimates for the new metropolitan statistical areas, as well as for the new micropolitan statistical areas, metropolitan divisions, and combined statistical areas are available on the BEA Web site at www.bea.gov.
BEA's major national, regional, international, 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 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 U.S. international transactions
-->
Most of BEA's estimates and analyses are published in the Survey of Current Business, BEA's monthly journal. Subscriptions and single copies of the printed Survey are for sale by the Superintendent of Documents, U.S. Government Printing Office. Internet: <bookstore.gpo.gov>; phone: 202-512-1800; fax: 202-512-2250; mail: SSOP, Washington, DC 20402-0001.
Next state personal income release—June 29, 2004, at 8:30 AM EDT for
State Personal Income, First Quarter 2004
|
|
Table 1. Personal Income and Per Capita Personal Income by Metropolitan Area, 2000-2002
Area Name Personal income Per capita personal income /1
Millions of dollars Percent change /2 Dollars Rank in U.S.
2000 2001 2002 2001-2002 2000 2001 2002 2002
United States /3 8,422,074 8,703,023 8,900,007 2.3 29,847 30,527 30,906 ...
Metropolitan portion 7,345,921 7,585,056 7,751,013 2.2 31,488 32,126 32,459 ...
Nonmetropolitan portion 1,076,153 1,117,967 1,148,994 2.8 22,014 22,820 23,362 ...
Metropolitan Statistical Areas /4
Abilene, TX 3,880 3,674 3,837 4.4 24,232 23,191 24,252 294
Akron, OH 20,593 20,602 21,147 2.6 29,591 29,493 30,205 96
Albany, GA 3,371 3,517 3,662 4.1 21,372 21,892 22,862 328
Albany-Schenectady-Troy, NY 25,168 26,179 26,967 3.0 30,445 31,553 32,297 56
Albuquerque, NM 18,910 20,525 21,421 4.4 25,848 27,785 28,471 138
Alexandria, LA 3,318 3,612 3,762 4.1 22,863 24,904 25,887 218
Allentown-Bethlehem-Easton, PA-NJ 22,220 22,762 23,542 3.4 29,952 30,382 31,073 79
Altoona, PA 3,057 3,061 3,165 3.4 23,692 23,832 24,815 275
Amarillo, TX 5,565 5,627 5,828 3.6 24,508 24,616 25,255 247
Ames, IA 2,067 2,103 2,173 3.3 25,775 26,177 26,479 197
Anchorage, AK 10,330 11,335 11,874 4.8 32,235 34,754 35,623 22
Anderson, IN 3,305 3,366 3,430 1.9 24,795 25,417 26,005 211
Anderson, SC 4,037 4,199 4,252 1.3 24,274 24,874 24,983 268
Ann Arbor, MI 11,541 11,458 11,801 3.0 35,575 34,784 35,282 27
Anniston-Oxford, AL 2,382 2,493 2,618 5.0 21,397 22,427 23,504 315
Appleton, WI 5,873 6,062 6,232 2.8 28,999 29,497 29,891 106
Asheville, NC 9,684 9,857 10,103 2.5 26,145 26,380 26,757 187
Athens-Clarke County, GA 3,785 3,961 4,109 3.8 22,694 23,513 24,171 297
Atlanta-Sandy Springs-Marietta, GA 141,817 147,307 149,974 1.8 33,120 33,439 33,257 43
Atlantic City, NJ 7,975 7,887 8,210 4.1 31,517 30,886 31,702 70
Auburn-Opelika, AL 2,338 2,437 2,530 3.8 20,248 20,882 21,445 342
Augusta-Richmond County, GA-SC 11,963 12,506 13,016 4.1 23,911 24,852 25,666 227
Austin-Round Rock, TX 41,157 43,152 42,671 -1.1 32,546 32,678 31,677 72
Bakersfield, CA 13,891 14,727 15,674 6.4 20,931 21,799 22,635 334
Baltimore-Towson, MD 85,144 89,050 92,410 3.8 33,294 34,519 35,556 24
Bangor, ME 3,422 3,667 3,817 4.1 23,621 25,207 26,123 205
Barnstable Town, MA 7,980 8,714 9,021 3.5 35,745 38,649 39,589 11
Baton Rouge, LA 17,206 17,841 18,494 3.7 24,325 25,112 25,841 222
Battle Creek, MI 3,471 3,477 3,621 4.2 25,138 25,127 26,097 207
Bay City, MI 2,858 2,829 2,861 1.1 25,951 25,774 26,067 208
Beaumont-Port Arthur, TX 9,169 9,375 9,689 3.4 23,832 24,499 25,352 238
Bellingham, WA 4,063 4,341 4,509 3.9 24,245 25,450 25,902 215
Bend, OR 3,140 3,367 3,540 5.1 26,929 27,883 28,193 147
Billings, MT 3,651 3,846 3,986 3.6 26,246 27,433 28,156 148
Binghamton, NY 6,315 6,371 6,503 2.1 25,054 25,319 25,809 224
Birmingham-Hoover, AL 29,898 31,494 32,651 3.7 28,386 29,707 30,661 86
Bismarck, ND 2,435 2,571 2,658 3.4 25,675 27,006 27,649 159
Blacksburg-Christiansburg-Radford, VA 3,040 3,145 3,262 3.7 20,078 20,615 21,399 343
Bloomington, IN 3,956 4,048 4,182 3.3 22,501 22,948 23,633 313
Bloomington-Normal, IL 4,410 4,619 4,798 3.9 29,229 30,296 30,892 82
Boise City-Nampa, ID 13,416 13,976 14,397 3.0 28,622 28,811 28,878 127
Boston-Cambridge-Quincy, MA-NH 182,380 188,380 188,418 0.0 41,435 42,501 42,436 5
Boulder, CO 11,825 12,084 11,281 -6.6 40,364 40,405 40,474 9
Bowling Green, KY 2,455 2,463 2,574 4.5 23,502 23,423 24,242 295
Bremerton-Silverdale, WA 6,853 7,159 7,570 5.7 29,472 30,461 31,740 68
Bridgeport-Stamford-Norwalk, CT 52,190 54,393 53,433 -1.8 58,998 61,130 59,727 1
Brownsville-Harlingen, TX 5,023 5,340 5,697 6.7 14,915 15,516 16,126 360
Brunswick, GA 2,411 2,497 2,616 4.8 25,851 26,440 27,409 167
Buffalo-Niagara Falls, NY 31,806 32,169 33,076 2.8 27,209 27,618 28,489 136
Burlington, NC 3,431 3,524 3,587 1.8 26,102 26,376 26,459 199
Burlington-South Burlington, VT 6,026 6,328 6,474 2.3 30,206 31,471 31,981 63
Canton-Massillon, OH 10,749 10,791 11,061 2.5 26,412 26,543 27,185 174
Cape Coral-Fort Myers, FL 12,875 14,295 15,009 5.0 29,011 31,138 31,562 74
Carson City, NV 1,684 1,721 1,774 3.1 32,049 32,194 32,522 51
Casper, WY 2,257 2,220 2,294 3.4 33,911 33,199 34,018 37
Cedar Rapids, IA 7,112 7,254 7,329 1.0 29,910 30,260 30,341 93
Champaign-Urbana, IL 5,447 5,684 5,862 3.1 25,870 26,770 27,294 171
Charleston, WV 8,024 8,409 8,654 2.9 25,934 27,358 28,230 145
Charleston-North Charleston, SC 13,933 14,433 15,176 5.1 25,316 26,018 26,965 179
Charlotte-Gastonia-Concord, NC-SC 43,120 44,965 46,512 3.4 32,187 32,716 33,083 47
Charlottesville, VA 5,333 5,576 5,755 3.2 30,513 31,461 32,053 60
Chattanooga, TN-GA 12,863 12,991 13,333 2.6 26,958 27,066 27,603 161
Cheyenne, WY 2,293 2,425 2,570 6.0 28,057 29,527 30,949 81
Chicago-Naperville-Joliet, IL-IN-WI 318,439 325,965 329,814 1.2 34,921 35,430 35,583 23
Chico, CA 4,571 4,783 4,999 4.5 22,430 23,230 23,944 302
Cincinnati-Middletown, OH-KY-IN 61,393 62,996 64,769 2.8 30,477 31,080 31,804 67
Clarksville, TN-KY 5,305 5,520 5,802 5.1 22,799 23,613 24,716 280
Cleveland, TN 2,333 2,587 2,655 2.6 22,372 24,622 25,149 254
Cleveland-Elyria-Mentor, OH 67,935 68,364 69,060 1.0 31,626 31,885 32,244 57
Coeur d'Alene, ID 2,521 2,639 2,761 4.6 23,014 23,615 24,164 298
College Station-Bryan, TX 3,673 3,842 3,976 3.5 19,814 20,617 21,028 345
Colorado Springs, CO 15,990 16,534 16,895 2.2 29,603 29,699 29,892 105
Columbia, MO 3,846 3,989 4,131 3.6 26,339 27,042 27,658 158
Columbia, SC 17,429 17,844 18,385 3.0 26,855 27,215 27,730 156
Columbus, GA-AL 6,740 7,159 7,410 3.5 23,887 25,273 25,899 217
Columbus, IN 2,183 2,126 2,172 2.2 30,450 29,540 30,261 95
Columbus, OH 49,770 51,420 53,061 3.2 30,740 31,359 32,043 61
Corpus Christi, TX 9,348 9,771 10,163 4.0 23,183 24,309 25,119 255
Corvallis, OR 2,259 2,334 2,399 2.8 28,907 29,789 30,421 92
Cumberland, MD-WV 2,100 2,167 2,264 4.5 20,619 21,368 22,377 337
Dallas-Fort Worth-Arlington, TX 176,530 182,207 185,167 1.6 33,973 34,063 33,816 39
Dalton, GA 2,869 2,972 3,083 3.7 23,735 24,083 24,609 283
Danville, IL 1,807 1,842 1,870 1.5 21,563 22,052 22,484 336
Danville, VA 2,364 2,391 2,470 3.3 21,488 21,822 22,660 332
Davenport-Moline-Rock Island, IA-IL 10,173 10,411 10,644 2.2 27,066 27,748 28,384 142
Dayton, OH 24,210 24,689 25,190 2.0 28,549 29,184 29,796 107
Decatur, AL 3,462 3,635 3,642 0.2 23,702 24,821 24,884 271
Decatur, IL 3,130 3,169 3,157 -0.4 27,336 27,922 28,094 150
Deltona-Daytona Beach-Ormond Beach, FL 10,381 10,865 11,380 4.7 23,329 24,059 24,747 279
Denver-Aurora, CO 82,196 85,894 86,526 0.7 37,852 38,651 38,008 15
Des Moines, IA 15,219 15,782 16,434 4.1 31,508 32,253 33,129 46
Detroit-Warren-Livonia, MI 151,793 151,682 152,800 0.7 34,048 33,913 34,129 35
Dothan, AL 3,018 3,240 3,358 3.6 23,029 24,668 25,462 233
Dover, DE 3,021 3,088 3,286 6.4 23,769 23,944 24,987 267
Dubuque, IA 2,293 2,362 2,442 3.4 25,691 26,495 27,294 171
Duluth, MN-WI 7,000 7,154 7,437 4.0 25,404 25,869 26,927 181
Durham, NC 12,997 13,548 13,903 2.6 30,507 31,128 31,435 75
Eau Claire, WI 3,804 3,873 4,010 3.5 25,595 25,920 26,685 190
El Centro, CA 2,530 2,734 2,973 8.7 17,753 19,021 20,382 351
Elizabethtown, KY 2,621 2,702 2,766 2.3 24,315 24,862 25,324 240
Elkhart-Goshen, IN 4,871 4,921 5,145 4.6 26,544 26,536 27,665 157
Elmira, NY 2,217 2,203 2,230 1.2 24,351 24,252 24,558 286
El Paso, TX 12,650 13,314 13,992 5.1 18,556 19,349 20,129 352
Erie, PA 6,888 6,949 7,095 2.1 24,541 24,767 25,301 244
Eugene-Springfield, OR 8,248 8,435 8,647 2.5 25,502 25,979 26,416 200
Evansville, IN-KY 9,294 9,717 10,021 3.1 27,098 28,310 29,116 120
Fairbanks, AK 2,303 2,426 2,561 5.6 27,832 28,894 30,081 100
Fargo, ND-MN 4,821 4,896 5,114 4.5 27,596 27,819 28,869 128
Farmington, NM 2,167 2,365 2,458 3.9 18,974 20,366 20,511 349
Fayetteville, NC 7,823 8,088 8,626 6.7 23,232 23,994 25,409 235
Fayetteville-Springdale-Rogers, AR-MO 7,979 8,636 9,097 5.3 22,834 24,090 24,788 276
Flagstaff, AZ 2,662 2,792 2,943 5.4 22,820 23,756 24,543 287
Flint, MI 11,550 11,270 11,446 1.6 26,434 25,683 25,977 213
Florence, SC 4,486 4,741 4,863 2.6 23,212 24,444 24,943 270
Florence-Muscle Shoals, AL 3,113 3,213 3,226 0.4 21,773 22,571 22,769 331
Fond du Lac, WI 2,700 2,799 2,881 2.9 27,721 28,629 29,487 112
Fort Collins-Loveland, CO 7,657 8,099 8,296 2.4 30,272 31,178 31,420 77
Fort Smith, AR-OK 5,889 6,253 6,399 2.3 21,506 22,676 23,021 324
Fort Walton Beach-Crestview-Destin, FL 4,611 4,871 5,254 7.9 26,969 28,336 29,938 103
Fort Wayne, IN 11,211 11,277 11,486 1.9 28,670 28,639 28,965 125
Fresno, CA 17,628 18,401 19,544 6.2 21,979 22,592 23,492 316
Gadsden, AL 2,212 2,292 2,365 3.2 21,413 22,263 22,999 325
Gainesville, FL 5,521 5,720 5,934 3.7 23,712 24,360 25,033 261
Gainesville, GA 3,485 3,670 3,795 3.4 24,741 25,007 25,040 260
Glens Falls, NY 3,009 3,040 3,149 3.6 24,197 24,346 25,092 259
Goldsboro, NC 2,504 2,567 2,641 2.9 22,093 22,703 23,376 318
Grand Forks, ND-MN 2,309 2,363 2,475 4.7 23,740 24,539 25,831 223
Grand Junction, CO 2,928 3,010 3,167 5.2 24,926 25,251 25,940 214
Grand Rapids-Wyoming, MI 20,818 21,257 21,688 2.0 28,026 28,333 28,659 131
Great Falls, MT 1,968 2,033 2,113 3.9 24,545 25,521 26,546 194
Greeley, CO 4,586 4,886 5,000 2.3 25,040 25,248 24,495 288
Green Bay, WI 8,137 8,327 8,641 3.8 28,729 29,139 29,905 104
Greensboro-High Point, NC 18,138 18,383 18,708 1.8 28,109 28,210 28,508 135
Greenville, NC 3,667 3,702 3,790 2.4 23,944 23,976 24,212 296
Greenville, SC 15,073 15,342 15,573 1.5 26,834 27,003 27,179 175
Gulfport-Biloxi, MS 5,827 5,965 6,213 4.2 23,627 24,060 24,971 269
Hagerstown-Martinsburg, MD-WV 5,454 5,778 6,028 4.3 24,395 25,469 26,051 209
Hanford-Corcoran, CA 2,118 2,339 2,505 7.1 16,306 17,693 18,581 357
Harrisburg-Carlisle, PA 15,143 15,718 16,366 4.1 29,729 30,778 31,821 66
Harrisonburg, VA 2,385 2,534 2,562 1.1 22,051 23,214 23,270 320
Hartford-West Hartford-East Hartford, CT 42,568 43,659 44,403 1.7 36,987 37,697 37,995 16
Hattiesburg, MS 2,555 2,754 2,893 5.0 20,557 21,948 22,781 330
Hickory-Lenoir-Morganton, NC 8,636 8,816 8,887 0.8 25,178 25,419 25,507 231
Hinesville-Fort Stewart, GA 1,192 1,230 1,290 4.9 16,617 17,416 17,919 358
Holland-Grand Haven, MI 6,678 6,673 6,769 1.5 27,885 27,401 27,485 165
Honolulu, HI 26,605 26,915 28,301 5.1 30,383 30,497 31,707 69
Hot Springs, AR 2,118 2,216 2,292 3.5 23,964 24,835 25,482 232
Houma-Bayou Cane-Thibodaux, LA 4,198 4,597 4,773 3.8 21,588 23,564 24,330 291
Houston-Baytown-Sugar Land, TX 161,398 170,558 173,757 1.9 34,041 35,200 34,969 29
Huntington-Ashland, WV-KY-OH 6,204 6,412 6,630 3.4 21,514 22,319 23,139 322
Huntsville, AL 9,477 9,850 10,223 3.8 27,589 28,327 28,959 126
Idaho Falls, ID 2,321 2,494 2,605 4.4 22,730 24,182 24,837 274
Indianapolis, IN 48,862 50,763 51,841 2.1 31,920 32,672 32,916 49
Iowa City, IA 3,815 3,950 4,087 3.5 28,886 29,435 30,163 97
Ithaca, NY 2,321 2,422 2,521 4.1 24,002 24,638 25,242 248
Jackson, MI 3,966 3,929 4,030 2.6 24,987 24,581 25,011 264
Jackson, MS 12,668 13,144 13,550 3.1 25,424 26,214 26,848 184
Jackson, TN 2,664 2,682 2,766 3.1 24,766 24,683 25,310 243
Jacksonville, FL 33,151 33,974 35,338 4.0 29,439 29,549 30,037 101
Jacksonville, NC 3,437 3,596 3,808 5.9 22,881 24,218 25,317 241
Janesville, WI 3,993 4,010 4,138 3.2 26,176 26,134 26,865 183
Jefferson City, MO 3,445 3,637 3,708 2.0 24,554 25,819 26,112 206
Johnson City, TN 3,893 4,066 4,205 3.4 21,395 22,335 22,897 327
Johnstown, PA 3,413 3,498 3,590 2.6 22,422 23,131 23,885 304
Jonesboro, AR 2,248 2,336 2,399 2.7 20,793 21,502 21,968 339
Joplin, MO 3,533 3,654 3,747 2.6 22,405 23,037 23,418 317
Kalamazoo-Portage, MI 8,325 8,446 8,673 2.7 26,410 26,717 27,265 173
Kankakee-Bradley, IL 2,571 2,651 2,716 2.5 24,747 25,384 25,901 216
Kansas City, MO-KS 58,247 59,737 61,255 2.5 31,612 32,055 32,467 52
Kennewick-Richland-Pasco, WA 4,756 5,139 5,469 6.4 24,687 26,139 26,905 182
Killeen-Temple-Fort Hood, TX 7,459 7,823 8,231 5.2 22,458 23,361 24,287 293
Kingsport-Bristol-Bristol, TN-VA 6,834 7,122 7,317 2.7 22,898 23,870 24,481 289
Kingston, NY 4,546 4,710 4,864 3.3 25,553 26,401 27,013 178
Knoxville, TN 16,569 17,156 17,922 4.5 26,836 27,521 28,466 139
Kokomo, IN 2,929 2,825 2,892 2.4 28,851 27,829 28,543 134
La Crosse, WI-MN 3,303 3,480 3,612 3.8 26,004 27,297 28,222 146
Lafayette, IN 4,393 4,491 4,549 1.3 24,554 24,891 25,006 265
Lafayette, LA 6,048 6,478 6,636 2.4 25,281 26,974 27,385 168
Lake Charles, LA 4,313 4,582 4,701 2.6 22,292 23,756 24,370 290
Lakeland, FL 11,517 12,316 12,891 4.7 23,727 25,033 25,777 225
Lancaster, PA 13,570 13,603 14,001 2.9 28,770 28,665 29,266 118
Lansing-East Lansing, MI 12,067 12,268 12,614 2.8 26,909 27,207 27,806 154
Laredo, TX 2,934 3,216 3,437 6.9 15,071 16,007 16,593 359
Las Cruces, NM 3,120 3,424 3,674 7.3 17,831 19,422 20,573 347
Las Vegas-Paradise, NV 41,239 42,457 44,572 5.0 29,601 29,152 29,396 114
Lawrence, KS 2,423 2,587 2,658 2.8 24,190 25,595 26,010 210
Lawton, OK 2,453 2,584 2,686 3.9 21,408 22,876 23,725 307
Lebanon, PA 3,175 3,295 3,380 2.6 26,369 27,248 27,836 153
Lewiston, ID-WA 1,419 1,471 1,515 3.0 24,484 25,592 26,246 203
Lewiston-Auburn, ME 2,532 2,662 2,809 5.5 24,378 25,541 26,721 189
Lexington-Fayette, KY 12,388 12,576 12,967 3.1 30,251 30,431 31,136 78
Lima, OH 2,633 2,674 2,728 2.0 24,258 24,717 25,237 249
Lincoln, NE 7,775 7,905 8,222 4.0 29,041 29,257 30,022 102
Little Rock-North Little Rock, AR 16,498 17,293 17,831 3.1 26,960 28,029 28,659 131
Logan, UT-ID 1,932 2,028 2,099 3.5 18,744 19,564 19,772 354
Longview, TX 4,775 4,932 5,062 2.6 24,611 25,346 25,727 226
Longview, WA 2,202 2,339 2,373 1.5 23,668 24,936 25,104 256
Los Angeles-Long Beach-Santa Ana, CA 385,053 402,424 413,165 2.7 31,049 32,066 32,547 50
Louisville, KY-IN 34,250 35,463 36,195 2.1 29,398 30,251 30,666 85
Lubbock, TX 6,055 6,109 6,365 4.2 24,227 24,182 25,027 262
Lynchburg, VA 5,626 5,773 5,850 1.3 24,579 25,177 25,422 234
Macon, GA 5,662 5,949 6,214 4.4 25,458 26,660 27,635 160
Madera, CA 2,265 2,379 2,527 6.2 18,321 18,901 19,617 355
Madison, WI 16,469 17,199 18,001 4.7 32,688 33,633 34,650 32
Manchester-Nashua, NH 13,770 13,837 13,914 0.6 36,016 35,606 35,496 25
Mansfield, OH 3,024 3,120 3,222 3.3 23,482 24,379 25,098 257
McAllen-Edinburg-Pharr, TX 7,793 8,443 9,056 7.3 13,578 14,278 14,769 361
Medford, OR 4,531 4,738 4,942 4.3 24,917 25,772 26,477 198
Memphis, TN-MS-AR 34,459 36,299 37,496 3.3 28,520 29,839 30,557 90
Merced, CA 4,134 4,429 4,640 4.8 19,533 20,302 20,623 346
Miami-Fort Lauderdale-Miami Beach, FL 157,015 163,369 168,639 3.2 31,226 31,923 32,373 55
Michigan City-La Porte, IN 2,683 2,698 2,729 1.2 24,350 24,459 24,773 278
Midland, TX 4,092 3,925 3,956 0.8 35,422 33,844 33,728 40
Milwaukee-Waukesha-West Allis, WI 49,151 50,691 51,798 2.2 32,722 33,673 34,308 34
Minneapolis-St. Paul-Bloomington, MN-WI 109,818 113,143 115,502 2.1 36,840 37,407 37,787 17
Missoula, MT 2,343 2,497 2,626 5.2 24,383 25,815 26,823 186
Mobile, AL 8,638 8,863 9,033 1.9 21,592 22,135 22,620 335
Modesto, CA 10,573 10,908 11,372 4.3 23,506 23,434 23,642 311
Monroe, LA 3,839 4,027 4,224 4.9 22,581 23,785 24,857 273
Monroe, MI 4,281 4,235 4,328 2.2 29,228 28,632 29,015 123
Montgomery, AL 8,865 9,261 9,665 4.4 25,549 26,571 27,533 164
Morgantown, WV 2,449 2,663 2,778 4.3 22,018 23,772 24,576 285
Morristown, TN 2,621 2,769 2,873 3.8 21,218 22,179 22,909 326
Mount Vernon-Anacortes, WA 2,823 3,020 3,135 3.8 27,288 28,732 29,377 115
Muncie, IN 2,898 2,945 2,992 1.6 24,421 24,758 25,313 242
Muskegon-Norton Shores, MI 3,943 4,013 4,082 1.7 23,126 23,418 23,707 309
Myrtle Beach-Conway-North Myrtle Beach, SC 4,740 4,890 5,059 3.5 23,936 24,258 24,584 284
Napa, CA 4,714 4,846 4,983 2.8 37,834 37,965 38,361 12
Naples-Marco Island, FL 10,012 11,143 11,601 4.1 39,406 42,129 42,050 6
Nashville-Davidson-Murfreesboro, TN 40,309 42,030 43,317 3.1 30,605 31,447 32,026 62
New Haven-Milford, CT 28,379 28,950 29,532 2.0 34,400 34,891 35,339 26
New Orleans-Metairie-Kenner, LA 34,606 36,767 38,085 3.6 26,304 28,023 28,995 124
New York-Northern New Jersey-Long Island, NY-NJ-PA 732,799 751,488 755,390 0.5 39,920 40,664 40,680 8
Niles-Benton Harbor, MI 4,239 4,226 4,305 1.9 26,071 26,063 26,482 196
Norwich-New London, CT 8,514 8,874 9,203 3.7 32,813 34,060 35,106 28
Ocala, FL 5,894 6,168 6,437 4.4 22,643 23,274 23,637 312
Ocean City, NJ 3,239 3,363 3,549 5.5 31,666 32,965 34,879 30
Odessa, TX 2,546 2,658 2,732 2.8 21,097 22,000 22,342 338
Ogden-Clearfield, UT 10,772 11,144 11,587 4.0 24,212 24,655 25,168 252
Oklahoma City, OK 29,092 30,441 31,219 2.6 26,503 27,492 27,877 152
Olympia, WA 6,093 6,461 6,719 4.0 29,242 30,341 30,828 83
Omaha-Council Bluffs, NE-IA 24,230 25,249 26,012 3.0 31,509 32,541 33,200 45
Orlando, FL 44,751 46,354 48,431 4.5 27,018 27,146 27,587 163
Oshkosh-Neenah, WI 4,431 4,542 4,681 3.1 28,217 28,776 29,537 110
Owensboro, KY 2,698 2,736 2,759 0.8 24,530 24,866 25,014 263
Oxnard-Thousand Oaks-Ventura, CA 25,364 26,173 27,006 3.2 33,523 34,028 34,572 33
Palm Bay-Melbourne-Titusville, FL 12,865 13,281 13,770 3.7 26,925 27,297 27,762 155
Panama City-Lynn Haven, FL 3,522 3,657 3,889 6.4 23,757 24,400 25,536 230
Parkersburg-Marietta, WV-OH 3,785 3,897 4,054 4.0 23,013 23,761 24,774 277
Pascagoula, MS 3,303 3,447 3,497 1.4 21,860 22,605 22,833 329
Pensacola-Ferry Pass-Brent, FL 9,703 10,229 10,544 3.1 23,507 24,480 24,884 271
Peoria, IL 10,257 10,498 10,685 1.8 27,974 28,723 29,170 119
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 193,919 199,176 205,346 3.1 34,062 34,856 35,753 21
Phoenix-Mesa-Scottsdale, AZ 92,975 96,477 99,387 3.0 28,365 28,516 28,481 137
Pine Bluff, AR 2,046 2,138 2,180 2.0 19,073 20,024 20,501 350
Pittsburgh, PA 74,361 76,386 78,241 2.4 30,610 31,539 32,381 54
Pittsfield, MA 4,082 4,260 4,437 4.2 30,278 31,808 33,263 42
Pocatello, ID 1,732 1,830 1,886 3.0 20,840 21,940 22,643 333
Portland-South Portland-Biddeford, ME 14,576 15,296 15,849 3.6 29,791 30,929 31,678 71
Portland-Vancouver-Beaverton, OR-WA 62,190 63,892 64,755 1.4 32,127 32,326 32,167 58
Port St. Lucie-Fort Pierce, FL 9,650 10,181 10,663 4.7 30,103 31,103 31,638 73
Poughkeepsie-Newburgh-Middletown, NY 18,378 19,256 19,702 2.3 29,459 30,390 30,618 88
Prescott, AZ 3,574 3,713 3,927 5.8 21,153 21,379 21,936 340
Providence-New Bedford-Fall River, RI-MA 45,976 48,076 49,645 3.3 28,976 30,089 30,796 84
Provo-Orem, UT 7,433 7,704 7,850 1.9 19,606 19,697 19,594 356
Pueblo, CO 3,262 3,372 3,489 3.5 22,995 23,355 23,689 310
Punta Gorda, FL 3,650 3,797 4,036 6.3 25,653 25,975 26,932 180
Racine, WI 5,439 5,658 5,785 2.2 28,779 29,844 30,331 94
Raleigh-Cary, NC 27,062 28,271 28,613 1.2 33,658 33,926 33,293 41
Rapid City, SD 2,918 3,045 3,171 4.1 25,819 26,630 27,429 166
Reading, PA 10,778 10,960 11,262 2.8 28,783 29,027 29,531 111
Redding, CA 4,005 4,312 4,558 5.7 24,445 25,788 26,532 195
Reno-Sparks, NV 12,418 13,136 13,425 2.2 36,026 36,990 36,763 20
Richmond, VA 33,603 35,208 36,061 2.4 30,548 31,677 32,067 59
Riverside-San Bernardino-Ontario, CA 74,787 80,077 84,301 5.3 22,810 23,668 24,073 300
Roanoke, VA 7,808 8,183 8,467 3.5 27,073 28,338 29,283 117
Rochester, MN 5,103 5,501 5,741 4.4 31,044 32,980 33,829 38
Rochester, NY 30,455 31,203 31,716 1.6 29,329 30,039 30,499 91
Rockford, IL 8,722 8,669 8,861 2.2 27,169 26,790 27,138 176
Rocky Mount, NC 3,422 3,532 3,548 0.5 23,919 24,614 24,650 282
Rome, GA 2,110 2,245 2,346 4.5 23,240 24,589 25,337 239
Sacramento-Arden-Arcade-Roseville, CA 54,236 57,497 59,829 4.1 29,993 30,793 31,069 80
Saginaw-Saginaw Township North, MI 5,374 5,255 5,306 1.0 25,596 25,060 25,297 245
St. Cloud, MN 4,219 4,379 4,593 4.9 25,104 25,728 26,626 192
St. George, UT 1,752 1,877 1,994 6.2 19,206 19,856 20,059 353
St. Joseph, MO-KS 2,816 2,861 2,940 2.8 22,718 23,162 23,885 304
St. Louis, MO-IL 84,222 86,138 88,410 2.6 31,174 31,748 32,462 53
Salem, OR 8,515 8,733 9,032 3.4 24,453 24,781 25,214 250
Salinas, CA 12,097 12,699 13,091 3.1 30,015 31,132 31,842 65
Salisbury, MD 2,503 2,640 2,712 2.8 22,832 23,865 24,312 292
Salt Lake City, UT 27,081 27,937 28,540 2.2 27,852 28,372 28,674 130
San Angelo, TX 2,523 2,624 2,684 2.3 23,864 25,007 25,556 229
San Antonio, TX 45,997 47,317 48,884 3.3 26,752 27,057 27,368 169
San Diego-Carlsbad-San Marcos, CA 92,654 97,141 101,293 4.3 32,797 33,926 34,872 31
Sandusky, OH 2,280 2,340 2,378 1.6 28,652 29,483 30,155 98
San Francisco-Oakland-Fremont, CA 199,989 200,185 195,396 -2.4 48,347 47,906 46,920 2
San Jose-Sunnyvale-Santa Clara, CA 92,947 85,586 79,596 -7.0 53,408 48,981 45,925 3
San Luis Obispo-Paso Robles, CA 6,801 7,300 7,599 4.1 27,459 29,112 30,145 99
Santa Barbara-Santa Maria-Goleta, CA 12,911 13,272 13,701 3.2 32,298 33,102 34,103 36
Santa Cruz-Watsonville, CA 10,015 9,841 9,707 -1.4 39,153 38,551 38,323 13
Santa Fe, NM 3,846 4,147 4,417 6.5 29,627 31,608 32,932 48
Santa Rosa-Petaluma, CA 16,778 17,209 17,391 1.1 36,447 36,960 37,331 19
Sarasota-Bradenton-Venice, FL 21,027 22,345 23,264 4.1 35,476 36,894 37,509 18
Savannah, GA 7,879 8,127 8,449 4.0 26,863 27,389 28,054 151
Scranton-Wilkes-Barre, PA 14,643 14,901 15,279 2.5 26,171 26,791 27,602 162
Seattle-Tacoma-Bellevue, WA 115,203 117,090 118,739 1.4 37,746 37,832 38,037 14
Sheboygan, WI 3,249 3,361 3,465 3.1 28,819 29,747 30,612 89
Sherman-Denison, TX 2,559 2,609 2,644 1.3 23,052 23,188 23,274 319
Shreveport-Bossier City, LA 9,064 9,490 9,789 3.2 24,103 25,219 25,984 212
Sioux City, IA-NE-SD 3,712 3,816 3,869 1.4 25,953 26,731 27,112 177
Sioux Falls, SD 5,648 5,977 6,223 4.1 30,005 31,162 31,947 64
South Bend-Mishawaka, IN-MI 8,315 8,704 8,947 2.8 26,228 27,419 28,153 149
Spartanburg, SC 6,190 6,327 6,523 3.1 24,331 24,641 25,182 251
Spokane, WA 10,890 11,072 11,382 2.8 26,012 26,179 26,637 191
Springfield, IL 5,996 6,266 6,416 2.4 29,745 30,902 31,430 76
Springfield, MA 18,766 19,420 20,066 3.3 27,578 28,543 29,302 116
Springfield, MO 8,792 9,333 9,705 4.0 23,789 24,960 25,622 228
Springfield, OH 3,735 3,763 3,762 0.0 25,825 26,122 26,159 204
State College, PA 3,266 3,394 3,560 4.9 24,020 24,764 25,394 236
Stockton, CA 13,757 14,274 14,788 3.6 24,213 24,056 24,119 299
Sumter, SC 2,150 2,176 2,270 4.3 20,528 20,856 21,577 341
Syracuse, NY 17,566 17,726 18,423 3.9 27,007 27,233 28,257 144
Tallahassee, FL 7,958 8,288 8,547 3.1 24,791 25,680 26,302 202
Tampa-St. Petersburg-Clearwater, FL 68,891 71,522 73,986 3.4 28,655 29,263 29,728 108
Terre Haute, IN 3,771 3,838 3,934 2.5 22,081 22,582 23,196 321
Texarkana, TX-Texarkana, AR 2,885 3,009 3,128 4.0 22,237 23,122 23,931 303
Toledo, OH 18,305 18,452 18,891 2.4 27,767 27,944 28,612 133
Topeka, KS 6,023 6,233 6,401 2.7 26,787 27,679 28,398 141
Trenton-Ewing, NJ 13,872 14,263 14,582 2.2 39,455 40,193 40,711 7
Tucson, AZ 20,514 21,246 22,213 4.6 24,172 24,645 25,278 246
Tulsa, OK 24,984 26,336 26,827 1.9 29,008 30,336 30,627 87
Tuscaloosa, AL 4,517 4,705 4,871 3.5 23,362 24,284 25,152 253
Tyler, TX 4,922 4,946 5,144 4.0 28,061 27,861 28,466 139
Utica-Rome, NY 7,047 7,148 7,348 2.8 23,520 23,955 24,668 281
Valdosta, GA 2,485 2,595 2,790 7.5 20,765 21,716 23,059 323
Vallejo-Fairfield, CA 10,953 11,601 11,912 2.7 27,579 28,683 29,089 122
Vero Beach, FL 4,208 4,548 4,699 3.3 37,114 39,437 39,830 10
Victoria, TX 2,809 2,873 2,908 1.2 25,162 25,557 25,844 221
Vineland-Millville-Bridgeton, NJ 3,421 3,609 3,823 5.9 23,371 24,584 25,856 220
Virginia Beach-Norfolk-Newport News, VA-NC 41,659 43,856 45,773 4.4 26,355 27,557 28,365 143
Visalia-Porterville, CA 7,219 7,739 8,076 4.3 19,571 20,703 21,193 344
Waco, TX 4,862 5,007 5,212 4.1 22,719 23,230 24,003 301
Warner Robins, GA 2,714 2,828 3,027 7.0 24,378 24,910 25,876 219
Washington-Arlington-Alexandria, DC-VA-MD-WV 196,093 208,098 214,441 3.0 40,665 42,241 42,773 4
Waterloo-Cedar Falls, IA 4,056 4,204 4,354 3.6 24,795 25,748 26,846 185
Wausau, WI 3,431 3,555 3,692 3.8 27,248 28,120 29,103 121
Weirton-Steubenville, WV-OH 2,937 2,982 3,072 3.0 22,307 22,859 23,750 306
Wenatchee, WA 2,378 2,523 2,644 4.8 23,923 25,297 26,321 201
Wheeling, WV-OH 3,540 3,680 3,776 2.6 23,159 24,282 24,993 266
Wichita, KS 15,918 16,830 17,158 2.0 27,828 29,268 29,587 109
Wichita Falls, TX 3,712 3,822 3,982 4.2 24,513 25,441 26,583 193
Williamsport, PA 2,762 2,932 2,980 1.6 23,029 24,602 25,096 258
Wilmington, NC 7,118 7,477 7,689 2.8 25,820 26,579 26,753 188
Winchester, VA-WV 2,649 2,837 2,955 4.1 25,577 26,781 27,308 170
Winston-Salem, NC 12,412 12,500 12,775 2.2 29,323 29,173 29,485 113
Worcester, MA 24,539 25,377 25,580 0.8 32,604 33,305 33,229 44
Yakima, WA 4,916 5,120 5,324 4.0 22,074 22,934 23,714 308
York-Hanover, PA 11,019 10,891 11,222 3.0 28,790 28,243 28,810 129
Youngstown-Warren-Boardman, OH-PA 14,806 14,749 15,107 2.4 24,588 24,610 25,358 237
Yuba City, CA 3,094 3,252 3,416 5.1 22,177 22,987 23,617 314
1. Per capita personal income was computed using Census Bureau midyear population estimates.
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 (NIPAs) 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. The metropolitan area definitions used by BEA for its personal income estimates are the new county-based definitions issued by the Office of Management
and Budget in June 2003 (with revisions released February 2004) for federal statistical purposes.
Last updated:
|
