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EMBARGOED FOR RELEASE: 8:30 A.M. ET, Tuesday, August 7, 2007

Personal Income for Metropolitan Areas, 2006

Personal income growth accelerated in 2006 in most of the nation's metropolitan statistical areas (MSAs), according to estimates released today by the U.S. Bureau of Economic Analysis. The faster growth was spurred by the property income and compensation components of personal income. Compensation growth in most private industries, including durable goods manufacturing and professional services, accelerated, while compensation growth at all levels of government, especially the military, slowed.

Personal income grew 6.6% in the metropolitan portion of the U.S. in 2006 up from 5.3% in 2005. Personal income growth accelerated in 252 of the nation's 363 MSAs.

Some of the largest accelerations were in the Gulf Coast MSAs–New Orleans, Lake Charles, Houma, and Lafayette, Louisiana; Gulfport and Hattiesburg, Mississippi; and Mobile, Alabama–recovering from Hurricane Katrina.

The biggest slowdowns in personal income growth were in MSAs with large army and marine corps bases–Jacksonville and Fayetteville, North Carolina; Clarksville, Tennessee; Hinesville and Columbus, Georgia; and Killeen, Texas–all of which had very large personal income increases in 2005. Military compensation at the bases in these MSAs (which train, mobilize, and deploy troops, among other things) had grown at very high, double digit rates from 2003 to 2005 because of the Iraq and Afghanistan wars and slowed to single digit growth (or decline in the case of Hinesville) last year.

Construction was particularly robust in the MSAs with the fastest population growth–St. George, Utah; Bend, Oregon; Cape Coral, Florida; Myrtle Beach, South Carolina; and Baton Rouge, Louisiana. Population in these MSAs grew by at least 4.8%, almost five times as fast as the metropolitan portion of the nation. The one exception is Palm Coast, Florida which had the fastest population growth in the nation (9.3%) yet whose construction sector contributed only 0.1% point to personal income growth.

The construction sector in the Gulf Coast MSAs recovering from Hurricane Katrina also made substantial contributions to their personal income growth, in some cases contributing more than 2 percentage points. For all metropolitan areas combined, the construction sector contributed only 0.4 % point to personal income growth.

Most of the MSAs where construction subtracted from personal income growth were in the Great Lakes states (Michigan, Ohio, Indiana, Illinois and Wisconsin).

Per capita personal income. Per capita personal income growth rates ranged from 90% in New Orleans to –0.1% in Hinesville, Georgia. Per capita personal income growth is a measure which highlights differences in economic conditions across MSAs by removing the effect of differential population growth rates.

Most of the MSAs with the fastest per capita personal income growth had a relatively large mining sector (including oil and gas extraction) or a relatively large manufacturing sector that processes petroleum. Coincidentally, these MSAs include many along the Gulf Coast that are recovering from Hurricane Katrina–New Orleans, Lake Charles, Houma, and Lafayette, Louisiana and Pascagoula, Mississippi. The other MSAs are primarily in Texas, (Odessa, Midland, Beaumont, Victoria, Longview, Wichita Falls, and Abilene) but also include Tulsa and Oklahoma City, Oklahoma; Casper, Wyoming; and Farmington, New Mexico.

The growth in the mining sector had ripple effects on other industries in these MSAs, particularly construction. The construction sector contributed at least 2 percentage points to per capita income growth in Odessa and Beaumont, Texas.

Several of the slowest growing MSAs in terms of per capita personal income were in southern California and Arizona. These MSAs (Merced, Madera, El Centro, and Visalia, California and Yuma, Arizona) have large farming sectors that declined in 2006. Metropolitan areas generate about one–half of all farm income in the U.S.

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 contributions for government 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).

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 county–based definitions developed by the Office of Management and Budget (OMB) for federal statistical purposes and last updated in December 2006. 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. Personal income and per capita personal income estimates for the 363 metropolitan areas are shown in Table 1.

Note about data on the BEA Web site

The complete set of accelerated metropolitan area income estimates for 2006, as well as previously published estimates for 1969–2005, is now available interactively on BEA's Web site. Detailed annual estimates of compensation of employees by industry and components of personal income are available. Currently, these estimates are the only detailed, broadly inclusive, annual measures of economic activity available for metropolitan areas. To access these estimates, go to www.bea.gov/bea/regional/reis/.

Data on personal income and per capita personal income for BEA metropolitan areas will be presented in the September issue of the Survey of Current Business, the monthly journal of the Bureau of Economic Analysis.

BEA's national, international, regional, and industry estimates; the Survey of Current Business; and BEA news releases are available without charge on BEA's Web site at www.bea.gov. By visiting the site, you can also subscribe to receive free e–mail summaries of BEA releases and announcements.

For further information, call (202) 606–5360.

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The next metropolitan area economic data release, scheduled for September 26, 2007, at 8:30 A.M. ET, will be Gross Domestic Product for Metropolitan Areas, 2001–2005.

Table 1. Personal Income and Per Capita Personal Income by Metropolitan Area, 2004-2006 Area name Personal Income Per capita personal income/1 Millions of dollars Percent change/2 Dollars Percent change Rank in United States 2004 2005 2006/p 2004– 2005 2005– 2006/p 2004 2005 2006/p 2004– 2005 2005– 2006/p 2006/p p Preliminary. 1. Per capita personal income was computed using Census Bureau midyear population estimates. 2. Percent change calculated from unrounded data. 3. 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, March 2005, December 2005, and December 2006) for federal statistical purposes.   United States 9,716,351 10,220,942 10,870,319 5.2 6.4 33,090 34,471 36,307 4.2 5.3 --       Metropolitan portion of the United States 8,476,476 8,924,022 9,508,992 5.3 6.6 34,700 36,140 38,109 4.1 5.4 -- Metropolitan Statistical Areas3 Abilene, TX 4,161 4,390 4,700 5.5 7.1 26,289 27,760 29,738 5.6 7.1 245 Akron, OH 22,573 23,425 24,424 3.8 4.3 32,181 33,396 34,845 3.8 4.3 109 Albany, GA 3,835 4,060 4,214 5.9 3.8 23,657 24,941 25,700 5.4 3.0 343 Albany-Schenectady-Troy, NY 29,084 30,159 31,757 3.7 5.3 34,452 35,590 37,320 3.3 4.9 67 Albuquerque, NM 23,280 24,631 26,671 5.8 8.3 29,836 30,884 32,652 3.5 5.7 155 Alexandria, LA 4,045 4,289 4,522 6.0 5.4 27,592 29,115 30,129 5.5 3.5 225 Allentown-Bethlehem-Easton, PA-NJ 25,282 26,698 28,301 5.6 6.0 32,447 33,808 35,361 4.2 4.6 96 Altoona, PA 3,368 3,489 3,625 3.6 3.9 26,502 27,562 28,660 4.0 4.0 278 Amarillo, TX 6,364 6,727 7,240 5.7 7.6 27,000 28,170 29,976 4.3 6.4 231 Ames, IA 2,453 2,553 2,704 4.1 5.9 30,554 32,002 33,734 4.7 5.4 135 Anchorage, AK 12,734 13,508 14,416 6.1 6.7 36,810 38,421 40,137 4.4 4.5 38 Anderson, IN 3,631 3,741 3,874 3.0 3.6 27,837 28,688 29,672 3.1 3.4 247 Anderson, SC 4,511 4,726 4,988 4.8 5.5 26,039 26,968 28,030 3.6 3.9 298 Ann Arbor, MI 13,087 13,578 13,893 3.8 2.3 38,635 39,689 40,381 2.7 1.7 36 Anniston-Oxford, AL 2,967 3,160 3,340 6.5 5.7 26,518 28,156 29,584 6.2 5.1 249 Appleton, WI 6,890 7,194 7,553 4.4 5.0 32,366 33,436 34,758 3.3 4.0 110 Asheville, NC 10,840 11,522 12,254 6.3 6.4 28,005 29,405 30,789 5.0 4.7 206 Athens-Clarke County, GA 4,408 4,670 4,953 6.0 6.1 25,162 25,594 26,702 1.7 4.3 326 Atlanta-Sandy Springs-Marietta, GA 161,795 173,159 184,186 7.0 6.4 33,553 34,825 35,846 3.8 2.9 89 Atlantic City, NJ 8,720 9,274 9,730 6.3 4.9 32,566 34,307 35,823 5.3 4.4 91 Auburn-Opelika, AL 2,870 3,054 3,275 6.4 7.2 23,848 24,804 26,034 4.0 5.0 339 Augusta-Richmond County, GA-SC 13,945 14,687 15,353 5.3 4.5 27,100 28,361 29,342 4.7 3.5 254 Austin-Round Rock, TX 46,192 50,102 54,955 8.5 9.7 32,726 34,441 36,308 5.2 5.4 82 Bakersfield, CA 17,660 18,924 20,087 7.2 6.1 24,067 24,999 25,748 3.9 3.0 342 Baltimore-Towson, MD 103,138 109,543 115,770 6.2 5.7 39,032 41,320 43,549 5.9 5.4 21 Bangor, ME 4,035 4,215 4,419 4.5 4.8 27,522 28,711 30,021 4.3 4.6 229 Barnstable Town, MA 9,530 9,949 10,399 4.4 4.5 41,851 43,992 46,258 5.1 5.2 12 Baton Rouge, LA 20,162 21,687 23,591 7.6 8.8 27,782 29,654 30,777 6.7 3.8 207 Battle Creek, MI 3,807 3,919 4,029 2.9 2.8 27,332 28,289 29,197 3.5 3.2 257 Bay City, MI 2,996 3,047 3,169 1.7 4.0 27,453 27,984 29,234 1.9 4.5 256 Beaumont-Port Arthur, TX 10,081 10,939 11,682 8.5 6.8 26,345 28,550 30,772 8.4 7.8 209 Bellingham, WA 5,065 5,420 5,742 7.0 5.9 28,116 29,561 30,881 5.1 4.5 199 Bend, OR 4,164 4,534 4,995 8.9 10.2 31,001 32,094 33,493 3.5 4.4 137 Billings, MT 4,547 4,829 5,107 6.2 5.8 31,464 32,963 34,481 4.8 4.6 116 Binghamton, NY 6,848 7,122 7,547 4.0 6.0 27,482 28,728 30,488 4.5 6.1 219 Birmingham-Hoover, AL 36,526 38,809 41,399 6.3 6.7 33,816 35,663 37,635 5.5 5.5 65 Bismarck, ND 3,046 3,226 3,387 5.9 5.0 31,134 32,452 33,491 4.2 3.2 138 Blacksburg-Christiansburg-Radford, VA 3,496 3,720 3,939 6.4 5.9 23,225 24,647 25,994 6.1 5.5 340 Bloomington, IN 4,709 4,905 5,136 4.2 4.7 26,558 27,598 28,738 3.9 4.1 273 Bloomington-Normal, IL 5,074 5,231 5,563 3.1 6.3 32,157 32,905 34,511 2.3 4.9 114 Boise City-Nampa, ID 16,372 17,732 19,485 8.3 9.9 31,207 32,527 34,326 4.2 5.5 122 Boston-Cambridge-Quincy, MA-NH 201,089 209,847 223,140 4.4 6.3 45,195 47,168 50,085 4.4 6.2 6 Boulder, CO 12,006 12,815 13,642 6.7 6.5 43,076 45,849 48,324 6.4 5.4 10 Bowling Green, KY 2,894 3,100 3,292 7.1 6.2 26,568 27,945 29,050 5.2 4.0 263 Bremerton-Silverdale, WA 8,189 8,602 9,106 5.0 5.9 34,101 35,616 37,847 4.4 6.3 60 Bridgeport-Stamford-Norwalk, CT 57,845 60,615 64,743 4.8 6.8 64,224 67,269 71,901 4.7 6.9 1 Brownsville-Harlingen, TX 6,221 6,597 7,100 6.0 7.6 16,783 17,410 18,313 3.7 5.2 362 Brunswick, GA 2,875 3,019 3,255 5.0 7.8 29,578 30,772 32,347 4.0 5.1 166 Buffalo-Niagara Falls, NY 35,617 36,715 38,335 3.1 4.4 30,912 32,071 33,701 3.7 5.1 136 Burlington, NC 3,688 3,863 4,099 4.8 6.1 26,668 27,551 28,732 3.3 4.3 274 Burlington-South Burlington, VT 6,976 7,262 7,627 4.1 5.0 34,115 35,385 37,022 3.7 4.6 75 Canton-Massillon, OH 11,386 11,811 12,192 3.7 3.2 27,780 28,841 29,754 3.8 3.2 244 Cape Coral-Fort Myers, FL 18,381 19,905 21,756 8.3 9.3 35,728 36,577 38,079 2.4 4.1 58 Carson City, NV 1,997 2,118 2,209 6.0 4.3 35,697 37,898 39,958 6.2 5.4 39 Casper, WY 2,659 2,888 3,225 8.6 11.7 38,550 41,462 45,815 7.6 10.5 14 Cedar Rapids, IA 7,930 8,282 8,812 4.4 6.4 32,387 33,530 35,344 3.5 5.4 97 Champaign-Urbana, IL 6,261 6,397 6,780 2.2 6.0 29,144 29,687 31,302 1.9 5.4 193 Charleston, WV 9,039 9,400 9,931 4.0 5.6 29,448 30,703 32,505 4.3 5.9 160 Charleston-North Charleston, SC 17,016 18,253 19,535 7.3 7.0 29,223 30,844 32,387 5.5 5.0 165 Charlotte-Gastonia-Concord, NC-SC 51,652 55,931 60,508 8.3 8.2 35,075 36,761 38,223 4.8 4.0 55 Charlottesville, VA 6,269 6,688 7,166 6.7 7.2 33,813 35,570 37,663 5.2 5.9 64 Chattanooga, TN-GA 14,463 15,221 16,142 5.2 6.1 29,629 30,952 32,499 4.5 5.0 161 Cheyenne, WY 2,973 3,124 3,410 5.1 9.2 34,983 36,739 39,936 5.0 8.7 40 Chicago-Naperville-Joliet, IL-IN-WI 350,111 367,957 391,262 5.1 6.3 37,268 38,951 41,161 4.5 5.7 31 Chico, CA 5,517 5,811 6,183 5.3 6.4 25,948 27,136 28,641 4.6 5.5 281 Cincinnati-Middletown, OH-KY-IN 70,041 73,103 76,521 4.4 4.7 33,758 34,961 36,366 3.6 4.0 78 Clarksville, TN-KY 6,537 7,412 7,846 13.4 5.9 27,527 30,515 32,624 10.9 6.9 156 Cleveland, TN 2,847 3,005 3,134 5.6 4.3 26,605 27,785 28,631 4.4 3.0 282 Cleveland-Elyria-Mentor, OH 72,723 75,278 78,371 3.5 4.1 34,078 35,423 37,070 3.9 4.6 74 Coeur d'Alene, ID 3,205 3,445 3,783 7.5 9.8 26,191 26,970 28,765 3.0 6.7 271 College Station-Bryan, TX 4,426 4,753 5,139 7.4 8.1 23,454 25,019 26,743 6.7 6.9 325 Colorado Springs, CO 18,360 19,696 20,647 7.3 4.8 31,726 33,569 34,462 5.8 2.7 117 Columbia, MO 4,517 4,773 5,087 5.7 6.6 29,905 31,141 32,608 4.1 4.7 158 Columbia, SC 20,139 21,288 22,737 5.7 6.8 29,419 30,810 32,308 4.7 4.9 167 Columbus, GA-AL 7,934 8,550 8,969 7.8 4.9 28,188 30,265 31,051 7.4 2.6 197 Columbus, IN 2,402 2,499 2,659 4.0 6.4 32,968 33,955 35,712 3.0 5.2 93 Columbus, OH 56,971 59,674 62,698 4.7 5.1 33,725 34,960 36,335 3.7 3.9 80 Corpus Christi, TX 11,076 11,816 12,700 6.7 7.5 27,068 28,603 30,543 5.7 6.8 216 Corvallis, OR 2,727 2,883 3,031 5.7 5.1 34,809 36,685 38,332 5.4 4.5 54 Cumberland, MD-WV 2,414 2,540 2,654 5.2 4.5 23,943 25,352 26,601 5.9 4.9 330 Dallas-Fort Worth-Arlington, TX 202,282 216,667 235,277 7.1 8.6 35,521 37,209 39,187 4.8 5.3 45 Dalton, GA 3,416 3,612 3,803 5.7 5.3 26,336 27,382 28,300 4.0 3.4 295 Danville, IL 2,023 2,060 2,158 1.8 4.7 24,513 25,068 26,334 2.3 5.1 336 Danville, VA 2,677 2,788 2,816 4.2 1.0 24,802 25,951 26,293 4.6 1.3 338 Davenport-Moline-Rock Island, IA-IL 11,713 12,224 13,039 4.4 6.7 31,226 32,513 34,559 4.1 6.3 113 Dayton, OH 25,935 26,744 27,950 3.1 4.5 30,746 31,792 33,316 3.4 4.8 143 Decatur, AL 4,136 4,364 4,590 5.5 5.2 28,086 29,436 30,695 4.8 4.3 211 Decatur, IL 3,437 3,603 3,762 4.8 4.4 31,163 32,808 34,420 5.3 4.9 119 Deltona-Daytona Beach-Ormond Beach, FL 12,971 13,830 14,789 6.6 6.9 27,117 28,347 29,783 4.5 5.1 243 Denver-Aurora, CO 94,402 100,066 106,706 6.0 6.6 40,583 42,369 44,299 4.4 4.6 16 Des Moines-West Des Moines, IA 18,824 19,750 21,144 4.9 7.1 36,724 37,737 39,579 2.8 4.9 42 Detroit-Warren-Livonia, MI 161,831 168,038 170,600 3.8 1.5 36,094 37,515 38,174 3.9 1.8 57 Dothan, AL 3,678 3,909 4,163 6.3 6.5 27,295 28,708 30,114 5.2 4.9 226 Dover, DE 3,801 4,045 4,230 6.4 4.6 27,382 28,196 28,658 3.0 1.6 279 Dubuque, IA 2,696 2,808 2,983 4.2 6.2 29,549 30,650 32,290 3.7 5.4 168 Duluth, MN-WI 8,034 8,275 8,639 3.0 4.4 29,150 30,092 31,502 3.2 4.7 188 Durham, NC 15,260 16,011 17,304 4.9 8.1 33,937 35,097 37,262 3.4 6.2 70 Eau Claire, WI 4,247 4,441 4,686 4.5 5.5 27,785 28,876 30,223 3.9 4.7 222 El Centro, CA 3,239 3,413 3,547 5.4 3.9 21,285 21,899 22,127 2.9 1.0 359 El Paso, TX 15,727 16,771 17,980 6.6 7.2 22,074 23,256 24,420 5.4 5.0 348 Elizabethtown, KY 3,122 3,280 3,474 5.1 5.9 28,600 29,689 31,330 3.8 5.5 191 Elkhart-Goshen, IN 5,896 6,195 6,461 5.1 4.3 30,760 31,725 32,613 3.1 2.8 157 Elmira, NY 2,310 2,444 2,576 5.8 5.4 25,716 27,456 29,064 6.8 5.9 262 Erie, PA 7,404 7,754 8,098 4.7 4.4 26,363 27,676 28,941 5.0 4.6 266 Eugene-Springfield, OR 9,415 9,981 10,538 6.0 5.6 28,416 29,841 31,189 5.0 4.5 195 Evansville, IN-KY 10,858 11,373 11,926 4.7 4.9 31,234 32,579 34,040 4.3 4.5 128 Fairbanks, AK 2,745 2,939 3,140 7.0 6.8 31,641 33,568 36,191 6.1 7.8 86 Fargo, ND-MN 5,751 6,033 6,444 4.9 6.8 31,510 32,758 34,462 4.0 5.2 117 Farmington, NM 2,818 3,052 3,344 8.3 9.5 22,716 24,260 26,437 6.8 9.0 334 Fayetteville, NC 9,794 10,746 11,188 9.7 4.1 28,398 31,632 32,776 11.4 3.6 151 Fayetteville-Springdale-Rogers, AR-MO 10,640 11,380 12,130 7.0 6.6 27,144 27,994 28,822 3.1 3.0 268 Flagstaff, AZ 3,227 3,473 3,695 7.6 6.4 26,328 28,045 29,574 6.5 5.5 251 Flint, MI 12,110 12,197 12,574 0.7 3.1 27,352 27,550 28,450 0.7 3.3 289 Florence, SC 5,204 5,445 5,758 4.6 5.8 26,458 27,551 28,957 4.1 5.1 265 Florence-Muscle Shoals, AL 3,510 3,699 3,926 5.4 6.1 24,723 26,041 27,520 5.3 5.7 313 Fond du Lac, WI 3,088 3,215 3,349 4.1 4.2 31,346 32,509 33,745 3.7 3.8 133 Fort Collins-Loveland, CO 8,816 9,330 9,893 5.8 6.0 32,796 34,323 35,812 4.7 4.3 92 Fort Smith, AR-OK 7,030 7,514 8,009 6.9 6.6 24,956 26,420 27,729 5.9 5.0 309 Fort Walton Beach-Crestview-Destin, FL 5,968 6,393 6,792 7.1 6.2 33,034 35,275 37,673 6.8 6.8 63 Fort Wayne, IN 12,116 12,620 13,221 4.2 4.8 30,188 31,223 32,399 3.4 3.8 164 Fresno, CA 21,859 22,796 24,173 4.3 6.0 25,257 25,961 27,107 2.8 4.4 320 Gadsden, AL 2,603 2,744 2,872 5.4 4.7 25,289 26,658 27,782 5.4 4.2 307 Gainesville, FL 6,648 7,194 7,662 8.2 6.5 27,927 29,951 31,402 7.2 4.8 189 Gainesville, GA 4,133 4,405 4,773 6.6 8.4 25,757 26,486 27,548 2.8 4.0 312 Glens Falls, NY 3,441 3,607 3,774 4.8 4.6 26,947 28,057 29,151 4.1 3.9 260 Goldsboro, NC 2,847 2,976 3,064 4.5 3.0 24,982 26,141 26,914 4.6 3.0 323 Grand Forks, ND-MN 2,683 2,795 2,879 4.1 3.0 27,670 29,021 29,823 4.9 2.8 240 Grand Junction, CO 3,472 3,744 4,093 7.8 9.3 27,282 28,854 30,503 5.8 5.7 217 Grand Rapids-Wyoming, MI 23,610 24,519 25,500 3.9 4.0 30,832 31,836 32,943 3.3 3.5 147 Great Falls, MT 2,348 2,436 2,592 3.8 6.4 29,392 30,647 32,657 4.3 6.6 154 Greeley, CO 5,322 5,669 6,047 6.5 6.7 24,246 24,846 25,528 2.5 2.7 345 Green Bay, WI 9,399 9,731 10,206 3.5 4.9 31,874 32,757 34,133 2.8 4.2 127 Greensboro-High Point, NC 20,160 21,214 22,469 5.2 5.9 30,301 31,464 32,784 3.8 4.2 150 Greenville, NC 4,196 4,483 4,690 6.8 4.6 26,219 27,610 28,292 5.3 2.5 296 Greenville-Mauldin-Easley, SC 16,497 17,402 18,547 5.5 6.6 28,275 29,464 30,809 4.2 4.6 204 Gulfport-Biloxi, MS 6,538 6,682 7,023 2.2 5.1 25,901 26,245 30,815 1.3 17.4 203 Hagerstown-Martinsburg, MD-WV 6,865 7,392 7,856 7.7 6.3 28,127 29,468 30,494 4.8 3.5 218 Hanford-Corcoran, CA 2,959 3,090 3,289 4.4 6.5 20,808 21,536 22,504 3.5 4.5 355 Harrisburg-Carlisle, PA 17,554 18,322 19,161 4.4 4.6 33,880 35,188 36,471 3.9 3.6 77 Harrisonburg, VA 2,782 2,960 3,106 6.4 4.9 25,115 26,419 27,379 5.2 3.6 316 Hartford-West Hartford-East Hartford, CT 47,840 50,237 52,540 5.0 4.6 40,504 42,369 44,194 4.6 4.3 18 Hattiesburg, MS 3,064 3,243 3,594 5.9 10.8 23,634 24,683 26,672 4.4 8.1 327 Hickory-Lenoir-Morganton, NC 9,387 9,735 10,263 3.7 5.4 26,602 27,349 28,518 2.8 4.3 286 Hinesville-Fort Stewart, GA 1,490 1,617 1,666 8.5 3.0 20,922 22,522 22,501 7.6 -0.1 356 Holland-Grand Haven, MI 7,539 7,845 8,162 4.1 4.0 29,810 30,743 31,677 3.1 3.0 183 Honolulu, HI 31,278 33,316 35,202 6.5 5.7 34,832 36,828 38,689 5.7 5.1 50 Hot Springs, AR 2,439 2,601 2,742 6.6 5.4 26,477 27,833 28,816 5.1 3.5 269 Houma-Bayou Cane-Thibodaux, LA 5,067 5,176 6,211 2.1 20.0 25,581 26,008 30,610 1.7 17.7 212 Houston-Sugar Land-Baytown, TX 191,918 209,818 229,517 9.3 9.4 36,676 39,199 41,429 6.9 5.7 30 Huntington-Ashland, WV-KY-OH 7,040 7,337 7,726 4.2 5.3 24,617 25,701 27,062 4.4 5.3 321 Huntsville, AL 11,467 12,314 13,260 7.4 7.7 31,628 33,403 35,196 5.6 5.4 104 Idaho Falls, ID 2,983 3,179 3,469 6.6 9.1 26,991 28,054 29,651 3.9 5.7 248 Indianapolis-Carmel, IN 56,900 59,683 63,058 4.9 5.7 35,180 36,391 37,849 3.4 4.0 59 Iowa City, IA 4,522 4,701 5,015 4.0 6.7 32,837 33,925 35,936 3.3 5.9 88 Ithaca, NY 2,759 2,849 3,016 3.3 5.9 27,579 28,462 30,040 3.2 5.5 228 Jackson, MI 4,304 4,461 4,568 3.7 2.4 26,480 27,299 27,878 3.1 2.1 302 Jackson, MS 15,015 15,765 16,841 5.0 6.8 29,133 30,277 31,808 3.9 5.1 180 Jackson, TN 2,994 3,152 3,307 5.2 4.9 27,265 28,509 29,544 4.6 3.6 252 Jacksonville, FL 40,348 42,785 46,314 6.0 8.2 33,014 34,288 36,239 3.9 5.7 84 Jacksonville, NC 4,370 4,922 5,115 12.6 3.9 28,320 32,705 33,945 15.5 3.8 129 Janesville, WI 4,380 4,532 4,902 3.5 8.2 28,068 28,804 30,800 2.6 6.9 205 Jefferson City, MO 4,032 4,188 4,380 3.9 4.6 28,352 29,139 30,215 2.8 3.7 223 Johnson City, TN 4,687 4,916 5,205 4.9 5.9 25,054 26,023 27,229 3.9 4.6 318 Johnstown, PA 3,742 3,920 4,096 4.8 4.5 25,195 26,525 27,869 5.3 5.1 303 Jonesboro, AR 2,681 2,772 2,989 3.4 7.8 24,156 24,768 26,370 2.5 6.5 335 Joplin, MO 4,096 4,263 4,530 4.1 6.3 24,987 25,688 26,876 2.8 4.6 324 Kalamazoo-Portage, MI 9,457 9,696 10,109 2.5 4.3 29,739 30,411 31,618 2.3 4.0 186 Kankakee-Bradley, IL 2,833 2,941 3,126 3.8 6.3 26,477 27,275 28,652 3.0 5.0 280 Kansas City, MO-KS 66,426 69,560 74,266 4.7 6.8 34,498 35,769 37,748 3.7 5.5 62 Kennewick-Richland-Pasco, WA 5,985 6,259 6,428 4.6 2.7 27,783 28,337 28,437 2.0 0.4 290 Killeen-Temple-Fort Hood, TX 9,386 10,428 11,140 11.1 6.8 27,203 29,823 31,709 9.6 6.3 182 Kingsport-Bristol-Bristol, TN-VA 7,796 8,149 8,635 4.5 6.0 26,014 27,079 28,549 4.1 5.4 285 Kingston, NY 5,208 5,438 5,811 4.4 6.8 28,657 29,811 31,798 4.0 6.7 181 Knoxville, TN 19,202 20,266 21,643 5.5 6.8 29,694 30,898 32,430 4.1 5.0 163 Kokomo, IN 3,053 3,128 3,246 2.4 3.8 30,224 30,887 32,180 2.2 4.2 171 La Crosse, WI-MN 3,840 3,973 4,149 3.5 4.4 29,922 30,857 32,108 3.1 4.1 174 Lafayette, IN 4,983 5,229 5,441 4.9 4.1 27,449 28,496 29,292 3.8 2.8 255 Lafayette, LA 7,110 7,550 8,509 6.2 12.7 29,004 30,585 33,443 5.5 9.3 141 Lake Charles, LA 5,047 4,540 5,740 -10.1 26.4 26,038 23,362 29,845 -10.3 27.8 237 Lake Havasu City-Kingman, AZ 3,780 4,116 4,462 8.9 8.4 21,066 22,055 23,118 4.7 4.8 353 Lakeland, FL 14,376 15,659 16,755 8.9 7.0 27,459 28,896 29,834 5.2 3.2 239 Lancaster, PA 15,171 15,991 16,684 5.4 4.3 31,216 32,638 33,741 4.6 3.4 134 Lansing-East Lansing, MI 13,329 13,790 14,453 3.5 4.8 29,284 30,330 31,831 3.6 4.9 179 Laredo, TX 3,863 4,230 4,536 9.5 7.2 17,653 18,809 19,598 6.5 4.2 361 Las Cruces, NM 4,092 4,367 4,672 6.7 7.0 22,082 23,070 24,096 4.5 4.4 350 Las Vegas-Paradise, NV 54,475 59,793 64,543 9.8 7.9 33,049 34,980 36,311 5.8 3.8 81 Lawrence, KS 3,012 3,166 3,379 5.1 6.7 27,515 28,394 30,133 3.2 6.1 224 Lawton, OK 2,958 3,127 3,338 5.7 6.7 26,229 28,269 30,573 7.8 8.2 214 Lebanon, PA 3,761 3,957 4,150 5.2 4.9 30,316 31,545 32,703 4.1 3.7 152 Lewiston, ID-WA 1,611 1,662 1,771 3.1 6.6 27,496 28,135 29,722 2.3 5.6 246 Lewiston-Auburn, ME 3,047 3,163 3,327 3.8 5.2 28,521 29,542 30,929 3.6 4.7 198 Lexington-Fayette, KY 13,815 14,496 15,377 4.9 6.1 32,545 33,737 35,214 3.7 4.4 102 Lima, OH 2,817 2,904 3,027 3.1 4.3 26,527 27,382 28,616 3.2 4.5 283 Lincoln, NE 9,028 9,377 9,904 3.9 5.6 32,420 33,316 34,876 2.8 4.7 108 Little Rock-North Little Rock-Conway, AR 20,087 21,059 22,513 4.8 6.9 31,645 32,770 34,485 3.6 5.2 115 Logan, UT-ID 2,392 2,504 2,679 4.7 7.0 21,958 22,609 24,106 3.0 6.6 349 Longview, TX 5,545 6,014 6,536 8.5 8.7 27,763 29,903 32,137 7.7 7.5 172 Longview, WA 2,429 2,553 2,691 5.1 5.4 25,265 26,268 26,932 4.0 2.5 322 Los Angeles-Long Beach-Santa Ana, CA 453,033 475,263 505,197 4.9 6.3 35,115 36,746 39,011 4.6 6.2 46 Louisville-Jefferson County, KY-IN 39,044 40,842 43,257 4.6 5.9 32,522 33,749 35,392 3.8 4.9 95 Lubbock, TX 6,832 7,277 7,722 6.5 6.1 26,510 28,098 29,541 6.0 5.1 253 Lynchburg, VA 6,434 6,808 7,161 5.8 5.2 27,566 28,846 29,897 4.6 3.6 232 Macon, GA 6,411 6,751 7,072 5.3 4.8 28,195 29,613 30,836 5.0 4.1 202 Madera, CA 2,995 3,164 3,262 5.7 3.1 21,560 22,198 22,292 3.0 0.4 357 Madison, WI 19,913 20,939 22,085 5.2 5.5 37,490 38,993 40,671 4.0 4.3 34 Manchester-Nashua, NH 15,385 15,967 16,875 3.8 5.7 38,634 39,865 41,895 3.2 5.1 28 Mansfield, OH 3,351 3,432 3,523 2.4 2.7 26,204 26,900 27,742 2.7 3.1 308 McAllen-Edinburg-Mission, TX 10,229 11,102 11,988 8.5 8.0 15,560 16,359 17,111 5.1 4.6 363 Medford, OR 5,599 5,901 6,227 5.4 5.5 29,021 30,239 31,596 4.2 4.5 187 Memphis, TN-MS-AR 40,258 42,133 44,758 4.7 6.2 32,342 33,529 35,113 3.7 4.7 106 Merced, CA 5,362 5,538 5,618 3.3 1.4 22,647 22,862 22,867 0.9 0.0 354 Miami-Fort Lauderdale-Pompano Beach, FL 190,430 203,465 216,523 6.8 6.4 35,589 37,507 39,628 5.4 5.7 41 Michigan City-La Porte, IN 2,892 3,002 3,128 3.8 4.2 26,371 27,222 28,316 3.2 4.0 294 Midland, TX 4,426 4,963 5,631 12.1 13.5 36,899 40,855 45,274 10.7 10.8 15 Milwaukee-Waukesha-West Allis, WI 55,370 57,604 60,876 4.0 5.7 36,644 38,164 40,316 4.1 5.6 37 Minneapolis-St. Paul-Bloomington, MN-WI 127,315 132,210 138,735 3.8 4.9 40,915 42,091 43,696 2.9 3.8 20 Missoula, MT 2,923 3,062 3,258 4.7 6.4 29,520 30,608 32,127 3.7 5.0 173 Mobile, AL 9,619 10,237 11,235 6.4 9.7 24,111 25,602 27,798 6.2 8.6 305 Modesto, CA 12,886 13,552 14,281 5.2 5.4 25,915 26,810 27,886 3.5 4.0 301 Monroe, LA 4,450 4,609 4,906 3.6 6.4 26,071 27,018 28,485 3.6 5.4 287 Monroe, MI 4,592 4,747 4,908 3.4 3.4 30,154 30,873 31,659 2.4 2.5 185 Montgomery, AL 10,679 11,375 12,216 6.5 7.4 30,237 31,958 33,769 5.7 5.7 132 Morgantown, WV 3,047 3,217 3,439 5.6 6.9 26,766 28,058 29,867 4.8 6.4 236 Morristown, TN 3,052 3,195 3,350 4.7 4.9 23,709 24,459 25,219 3.2 3.1 346 Mount Vernon-Anacortes, WA 3,333 3,594 3,811 7.8 6.1 29,990 31,754 32,942 5.9 3.7 148 Muncie, IN 3,083 3,188 3,261 3.4 2.3 26,255 27,431 28,387 4.5 3.5 292 Muskegon-Norton Shores, MI 4,363 4,495 4,662 3.0 3.7 25,084 25,692 26,606 2.4 3.6 328 Myrtle Beach-Conway-North Myrtle Beach, SC 5,654 6,095 6,639 7.8 8.9 26,006 26,789 27,835 3.0 3.9 304 Napa, CA 5,405 5,787 6,180 7.1 6.8 40,835 43,669 46,286 6.9 6.0 11 Naples-Marco Island, FL 14,550 15,237 16,760 4.7 10.0 49,043 49,492 53,265 0.9 7.6 4 Nashville-Davidson-Murfreesboro-Franklin, TN 48,620 52,092 56,026 7.1 7.6 34,888 36,655 38,503 5.1 5.0 51 New Haven-Milford, CT 31,856 33,182 34,735 4.2 4.7 37,803 39,292 41,094 3.9 4.6 32 New Orleans-Metairie-Kenner, LA 40,230 26,552 39,290 -34.0 48.0 30,611 20,210 38,343 -34.0 89.7 53 New York-Northern New Jersey-Long Island, NY-NJ-PA 816,254 851,660 910,760 4.3 6.9 43,496 45,268 48,397 4.1 6.9 9 Niles-Benton Harbor, MI 4,607 4,740 4,992 2.9 5.3 28,351 29,242 30,869 3.1 5.6 200 Norwich-New London, CT 10,029 10,379 10,800 3.5 4.1 37,715 39,276 41,019 4.1 4.4 33 Ocala, FL 7,495 8,161 8,843 8.9 8.4 25,721 26,893 27,968 4.6 4.0 299 Ocean City, NJ 3,765 3,909 4,070 3.8 4.1 37,556 39,563 41,651 5.3 5.3 29 Odessa, TX 2,914 3,206 3,659 10.0 14.1 23,457 25,590 28,707 9.1 12.2 276 Ogden-Clearfield, UT 12,862 13,654 14,824 6.2 8.6 26,951 28,070 29,788 4.2 6.1 242 Oklahoma City, OK 35,735 37,970 41,278 6.3 8.7 31,325 32,875 35,210 4.9 7.1 103 Olympia, WA 7,317 7,724 8,273 5.6 7.1 32,589 33,745 35,253 3.5 4.5 100 Omaha-Council Bluffs, NE-IA 29,025 30,435 32,448 4.9 6.6 36,191 37,444 39,448 3.5 5.4 44 Orlando-Kissimmee, FL 55,966 60,951 65,459 8.9 7.4 30,068 31,557 32,979 5.0 4.5 146 Oshkosh-Neenah, WI 5,050 5,261 5,504 4.2 4.6 31,846 32,978 34,272 3.6 3.9 123 Owensboro, KY 2,933 3,102 3,218 5.8 3.7 26,435 27,844 28,704 5.3 3.1 277 Oxnard-Thousand Oaks-Ventura, CA 30,534 32,139 33,862 5.3 5.4 38,367 40,358 42,342 5.2 4.9 27 Palm Bay-Melbourne-Titusville, FL 15,780 16,811 17,887 6.5 6.4 30,455 31,800 33,474 4.4 5.3 139 Palm Coast, FL 1,850 2,076 2,270 12.2 9.3 26,913 27,297 27,316 1.4 0.1 317 Panama City-Lynn Haven, FL 4,546 4,888 5,231 7.5 7.0 28,836 30,298 31,996 5.1 5.6 176 Parkersburg-Marietta-Vienna, WV-OH 4,252 4,350 4,584 2.3 5.4 26,123 26,811 28,347 2.6 5.7 293 Pascagoula, MS 3,712 3,910 4,174 5.3 6.8 23,849 24,943 27,390 4.6 9.8 315 Pensacola-Ferry Pass-Brent, FL 11,629 12,361 13,200 6.3 6.8 26,800 28,217 30,000 5.3 6.3 230 Peoria, IL 11,633 12,410 13,456 6.7 8.4 31,694 33,690 36,349 6.3 7.9 79 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 224,974 236,467 250,482 5.1 5.9 38,869 40,727 42,988 4.8 5.6 23 Phoenix-Mesa-Scottsdale, AZ 114,926 125,718 136,972 9.4 9.0 30,892 32,414 33,911 4.9 4.6 131 Pine Bluff, AR 2,392 2,442 2,559 2.1 4.8 22,791 23,433 24,695 2.8 5.4 347 Pittsburgh, PA 83,356 87,003 91,790 4.4 5.5 34,810 36,530 38,717 4.9 6.0 48 Pittsfield, MA 4,651 4,953 5,174 6.5 4.5 35,149 37,586 39,463 6.9 5.0 43 Pocatello, ID 2,045 2,143 2,271 4.8 6.0 23,914 25,048 26,303 4.7 5.0 337 Port St. Lucie, FL 12,295 13,169 14,196 7.1 7.8 33,731 34,723 36,203 2.9 4.3 85 Portland-South Portland-Biddeford, ME 17,405 17,948 18,878 3.1 5.2 34,078 34,986 36,752 2.7 5.0 76 Portland-Vancouver-Beaverton, OR-WA 70,144 74,282 79,399 5.9 6.9 34,018 35,430 37,145 4.2 4.8 72 Poughkeepsie-Newburgh-Middletown, NY 21,372 22,451 23,632 5.1 5.3 32,260 33,647 35,191 4.3 4.6 105 Prescott, AZ 4,519 4,876 5,336 7.9 9.4 23,696 24,521 25,653 3.5 4.6 344 Providence-New Bedford-Fall River, RI-MA 54,685 56,721 59,967 3.7 5.7 33,639 35,025 37,178 4.1 6.1 71 Provo-Orem, UT 8,881 9,557 10,544 7.6 10.3 20,043 20,731 22,236 3.4 7.3 358 Pueblo, CO 3,745 3,870 4,064 3.3 5.0 25,024 25,634 26,575 2.4 3.7 332 Punta Gorda, FL 4,334 4,613 4,951 6.4 7.3 27,588 29,890 32,055 8.3 7.2 175 Racine, WI 6,304 6,574 6,917 4.3 5.2 32,571 33,676 35,275 3.4 4.7 99 Raleigh-Cary, NC 31,680 33,907 36,905 7.0 8.8 34,615 35,624 37,107 2.9 4.2 73 Rapid City, SD 3,697 3,902 4,108 5.5 5.3 31,474 33,093 34,588 5.1 4.5 112 Reading, PA 11,931 12,543 13,412 5.1 6.9 30,501 31,655 33,434 3.8 5.6 142 Redding, CA 4,991 5,209 5,506 4.4 5.7 28,103 29,104 30,596 3.6 5.1 213 Reno-Sparks, NV 15,397 16,259 17,308 5.6 6.5 40,065 41,284 43,209 3.0 4.7 22 Richmond, VA 40,189 42,873 45,122 6.7 5.2 34,808 36,537 37,790 5.0 3.4 61 Riverside-San Bernardino-Ontario, CA 97,251 104,074 111,869 7.0 7.5 25,705 26,618 27,786 3.6 4.4 306 Roanoke, VA 9,128 9,531 10,012 4.4 5.0 31,384 32,587 33,933 3.8 4.1 130 Rochester, MN 6,406 6,640 6,952 3.7 4.7 36,652 37,517 38,715 2.4 3.2 49 Rochester, NY 33,821 35,106 36,762 3.8 4.7 32,531 33,857 35,503 4.1 4.9 94 Rockford, IL 9,253 9,692 10,392 4.7 7.2 27,461 28,335 29,840 3.2 5.3 238 Rocky Mount, NC 3,847 4,025 4,180 4.6 3.9 26,584 27,724 28,579 4.3 3.1 284 Rome, GA 2,550 2,708 2,864 6.2 5.8 27,128 28,698 30,048 5.8 4.7 227 Sacramento-Arden-Arcade-Roseville, CA 68,308 72,404 77,056 6.0 6.4 33,919 35,463 37,277 4.6 5.1 68 Saginaw-Saginaw Township North, MI 5,580 5,665 5,874 1.5 3.7 26,712 27,256 28,472 2.0 4.5 288 Salem, OR 10,167 10,790 11,459 6.1 6.2 27,500 28,677 29,794 4.3 3.9 241 Salinas, CA 14,179 14,752 15,667 4.0 6.2 34,203 35,775 38,193 4.6 6.8 56 Salisbury, MD 3,095 3,309 3,483 6.9 5.2 27,113 28,549 29,577 5.3 3.6 250 Salt Lake City, UT 31,341 33,634 36,520 7.3 8.6 30,731 32,133 34,204 4.6 6.4 126 San Angelo, TX 2,891 3,022 3,161 4.5 4.6 27,431 28,738 29,889 4.8 4.0 234 San Antonio, TX 53,643 57,384 62,110 7.0 8.2 28,981 30,393 31,979 4.9 5.2 177 San Diego-Carlsbad-San Marcos, CA 113,062 119,136 125,885 5.4 5.7 38,536 40,569 42,797 5.3 5.5 24 San Francisco-Oakland-Fremont, CA 207,385 218,475 233,248 5.3 6.8 49,989 52,543 55,801 5.1 6.2 2 San Jose-Sunnyvale-Santa Clara, CA 83,986 88,883 95,671 5.8 7.6 48,226 50,468 53,533 4.6 6.1 3 San Luis Obispo-Paso Robles, CA 8,379 8,766 9,288 4.6 6.0 32,949 34,305 36,140 4.1 5.3 87 Sandusky, OH 2,530 2,620 2,683 3.5 2.4 32,095 33,426 34,350 4.1 2.8 121 Santa Barbara-Santa Maria-Goleta, CA 15,389 16,231 16,968 5.5 4.5 38,313 40,486 42,385 5.7 4.7 26 Santa Cruz-Watsonville, CA 10,258 10,636 11,449 3.7 7.6 40,907 42,643 45,849 4.2 7.5 13 Santa Fe, NM 5,019 5,341 5,768 6.4 8.0 36,095 37,934 40,500 5.1 6.8 35 Santa Rosa-Petaluma, CA 17,985 18,890 19,954 5.0 5.6 38,441 40,451 42,738 5.2 5.7 25 Sarasota-Bradenton-Venice, FL 26,286 27,914 30,073 6.2 7.7 40,356 41,577 44,042 3.0 5.9 19 Savannah, GA 9,423 10,183 10,998 8.1 8.0 30,431 32,486 34,367 6.8 5.8 120 Scranton-Wilkes-Barre, PA 16,131 16,818 17,558 4.3 4.4 29,295 30,547 31,875 4.3 4.3 178 Seattle-Tacoma-Bellevue, WA 131,813 133,475 144,337 1.3 8.1 41,593 41,608 44,228 0.0 6.3 17 Sebastian-Vero Beach, FL 5,643 5,886 6,415 4.3 9.0 45,336 46,219 49,305 1.9 6.7 7 Sheboygan, WI 3,754 3,937 4,113 4.9 4.5 32,978 34,409 35,841 4.3 4.2 90 Sherman-Denison, TX 2,878 3,060 3,277 6.3 7.1 24,846 26,207 27,659 5.5 5.5 310 Shreveport-Bossier City, LA 10,998 11,463 12,248 4.2 6.9 28,947 30,004 31,668 3.7 5.5 184 Sioux City, IA-NE-SD 4,059 4,187 4,366 3.2 4.3 28,361 29,392 30,431 3.6 3.5 220 Sioux Falls, SD 7,193 7,604 8,165 5.7 7.4 35,390 36,576 38,351 3.4 4.9 52 South Bend-Mishawaka, IN-MI 9,694 10,067 10,497 3.8 4.3 30,556 31,700 33,008 3.7 4.1 145 Spartanburg, SC 6,831 7,111 7,567 4.1 6.4 25,908 26,656 27,912 2.9 4.7 300 Spokane, WA 12,202 12,862 13,746 5.4 6.9 28,061 29,203 30,773 4.1 5.4 208 Springfield, IL 6,664 6,918 7,263 3.8 5.0 32,517 33,699 35,237 3.6 4.6 101 Springfield, MA 21,369 22,433 23,473 5.0 4.6 31,128 32,678 34,208 5.0 4.7 125 Springfield, MO 10,447 11,054 11,724 5.8 6.1 26,741 27,783 28,800 3.9 3.7 270 Springfield, OH 3,912 4,042 4,238 3.3 4.8 27,507 28,485 29,872 3.6 4.9 235 St. Cloud, MN 5,146 5,334 5,585 3.7 4.7 28,719 29,473 30,554 2.6 3.7 215 St. George, UT 2,421 2,689 3,020 11.1 12.3 21,912 22,565 23,913 3.0 6.0 352 St. Joseph, MO-KS 3,113 3,231 3,474 3.8 7.5 25,541 26,528 28,402 3.9 7.1 291 St. Louis, MO-IL 94,075 98,979 104,202 5.2 5.3 34,011 35,573 37,263 4.6 4.8 69 State College, PA 3,910 4,110 4,330 5.1 5.4 27,939 29,295 30,723 4.9 4.9 210 Stockton, CA 16,603 17,332 18,273 4.4 5.4 25,570 26,071 27,144 2.0 4.1 319 Sumter, SC 2,515 2,627 2,762 4.5 5.1 23,867 25,042 26,445 4.9 5.6 333 Syracuse, NY 19,583 20,291 21,242 3.6 4.7 30,011 31,195 32,677 3.9 4.8 153 Tallahassee, FL 9,501 9,944 10,504 4.7 5.6 28,775 29,852 31,215 3.7 4.6 194 Tampa-St. Petersburg-Clearwater, FL 82,692 87,999 94,311 6.4 7.2 32,000 33,250 34,959 3.9 5.1 107 Terre Haute, IN 4,285 4,428 4,609 3.3 4.1 25,457 26,341 27,399 3.5 4.0 314 Texarkana, TX-Texarkana, AR 3,409 3,620 3,868 6.2 6.9 25,758 27,184 28,757 5.5 5.8 272 Toledo, OH 19,679 20,269 21,105 3.0 4.1 29,945 30,915 32,285 3.2 4.4 169 Topeka, KS 6,803 7,093 7,432 4.3 4.8 29,923 31,074 32,469 3.8 4.5 162 Trenton-Ewing, NJ 15,893 16,811 17,999 5.8 7.1 43,657 45,923 48,964 5.2 6.6 8 Tucson, AZ 24,881 26,704 28,722 7.3 7.6 27,467 28,869 30,350 5.1 5.1 221 Tulsa, OK 28,763 30,723 33,723 6.8 9.8 32,692 34,685 37,564 6.1 8.3 66 Tuscaloosa, AL 5,350 5,801 6,240 8.4 7.6 27,498 29,557 31,395 7.5 6.2 190 Tyler, TX 5,562 5,963 6,402 7.2 7.4 29,804 31,301 32,893 5.0 5.1 149 Utica-Rome, NY 7,850 8,110 8,535 3.3 5.2 26,323 27,256 28,709 3.5 5.3 275 Valdosta, GA 2,924 3,099 3,283 6.0 6.0 23,701 24,838 25,994 4.8 4.7 340 Vallejo-Fairfield, CA 13,048 13,759 14,537 5.4 5.7 31,716 33,494 35,311 5.6 5.4 98 Victoria, TX 3,082 3,300 3,573 7.1 8.3 27,226 29,102 31,320 6.9 7.6 192 Vineland-Millville-Bridgeton, NJ 4,058 4,304 4,509 6.1 4.8 26,917 28,149 29,122 4.6 3.5 261 Virginia Beach-Norfolk-Newport News, VA-NC 51,739 54,438 57,062 5.2 4.8 31,587 33,163 34,595 5.0 4.3 111 Visalia-Porterville, CA 9,190 9,669 10,056 5.2 4.0 22,920 23,517 23,947 2.6 1.8 351 Waco, TX 5,673 6,026 6,399 6.2 6.2 25,503 26,860 28,292 5.3 5.3 296 Warner Robins, GA 3,347 3,580 3,812 7.0 6.5 27,064 28,507 29,892 5.3 4.9 233 Washington-Arlington-Alexandria, DC-VA-MD-WV 239,826 255,740 270,903 6.6 5.9 46,311 48,697 51,207 5.2 5.2 5 Waterloo-Cedar Falls, IA 4,836 4,986 5,231 3.1 4.9 29,932 30,807 32,238 2.9 4.6 170 Wausau, WI 3,946 4,146 4,358 5.1 5.1 30,890 32,176 33,465 4.2 4.0 140 Weirton-Steubenville, WV-OH 3,224 3,320 3,455 3.0 4.1 25,317 26,287 27,601 3.8 5.0 311 Wenatchee, WA 2,784 2,914 3,094 4.7 6.2 26,971 27,789 28,964 3.0 4.2 264 Wheeling, WV-OH 3,931 4,088 4,262 4.0 4.3 26,319 27,565 28,931 4.7 5.0 267 Wichita Falls, TX 4,228 4,432 4,740 4.8 6.9 28,630 30,335 32,571 6.0 7.4 159 Wichita, KS 18,519 19,763 21,467 6.7 8.6 31,737 33,671 36,254 6.1 7.7 83 Williamsport, PA 3,204 3,311 3,432 3.3 3.6 27,068 28,034 29,164 3.6 4.0 259 Wilmington, NC 8,594 9,357 10,068 8.9 7.6 28,382 29,742 30,869 4.8 3.8 200 Winchester, VA-WV 3,219 3,468 3,699 7.7 6.7 28,487 29,873 31,103 4.9 4.1 196 Winston-Salem, NC 14,004 14,801 15,623 5.7 5.6 31,762 33,022 34,215 4.0 3.6 124 Worcester, MA 27,565 28,806 30,469 4.5 5.8 35,433 36,851 38,814 4.0 5.3 47 Yakima, WA 5,647 5,851 6,202 3.6 6.0 24,637 25,336 26,605 2.8 5.0 329 York-Hanover, PA 12,374 13,222 13,765 6.9 4.1 30,877 32,393 33,062 4.9 2.1 144 Youngstown-Warren-Boardman, OH-PA 15,894 16,352 17,137 2.9 4.8 26,700 27,670 29,197 3.6 5.5 257 Yuba City, CA 3,864 3,998 4,303 3.5 7.6 25,559 25,602 26,594 0.2 3.9 331 Yuma, AZ 3,558 3,814 4,002 7.2 4.9 20,265 21,005 21,336 3.7 1.6 360