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For release 10:00 a.m. (ET) Wednesday, February 1, 2023 USDL-23-0149 Technical information: Employment: (202) 691-6559 * sminfo@bls.gov * www.bls.gov/sae Unemployment: (202) 691-6392 * lausinfo@bls.gov * www.bls.gov/lau Media contact: (202) 691-5902 * PressOffice@bls.gov METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT -- DECEMBER 2022 Unemployment rates were lower in December than a year earlier in 244 of the 389 metropolitan areas, higher in 115 areas, and unchanged in 30 areas, the U.S. Bureau of Labor Statistics reported today. A total of 172 areas had jobless rates of less than 3.0 percent and 2 areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 81 metropolitan areas and was essentially unchanged in 308 areas. The national unemployment rate in December was 3.3 percent, not seasonally adjusted, down from 3.7 percent a year earlier. This news release presents statistics from two monthly programs. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the national household survey estimates. These data pertain to individuals by where they reside. The employment data are from an establishment survey that measures nonfarm employment, hours, and earnings by industry. These data pertain to jobs on payrolls defined by where the establishments are located. For more information about the concepts and statistical methodologies used by these two programs, see the Technical Note. Metropolitan Area Unemployment (Not Seasonally Adjusted) In December, Madison, WI, had the lowest unemployment rate, 1.6 percent, closely followed by Columbia, MO, 1.7 percent. El Centro, CA, had the highest rate, 14.8 percent. The next highest rate was in Yuma, AZ, 13.7 percent. A total of 227 areas had December jobless rates below the U.S. rate of 3.3 percent, 148 areas had rates above it, and 14 areas had rates equal to that of the nation. (See table 1.) The largest over-the-year unemployment rate decreases in December occurred in Farmington, NM (-2.1 percentage points), and Odessa, TX (-2.0 points). An additional 43 areas had rate declines between 1.0 percentage point and 1.9 points. Yuma, AZ, had the largest over-the-year rate increase in December (+3.4 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Miami- Fort Lauderdale-West Palm Beach, FL, had the lowest jobless rate in December, 1.9 percent. Las Vegas-Henderson-Paradise, NV, had the highest rate, 5.4 percent. Forty large areas had over-the-year unemployment rate decreases, nine had increases, and two had no change. The largest rate declines occurred in Baltimore-Columbia-Towson, MD, and Riverside-San Bernardino-Ontario, CA (-1.4 percentage points each). The largest jobless rate increase was in Indianapolis-Carmel-Anderson, IN (+0.8 percentage point). Metropolitan Division Unemployment (Not Seasonally Adjusted) Eleven of the most populous metropolitan areas are made up of 38 metropolitan divisions, which are essentially separately identifiable employment centers. In December, Miami-Miami Beach-Kendall, FL, had the lowest division unemployment rate, 1.4 percent. Tacoma-Lakewood, WA, had the highest rate among the divisions, 5.3 percent. (See table 2.) In December, 34 metropolitan divisions had over-the-year unemployment rate decreases and 4 had increases. The largest rate decline occurred in Miami-Miami Beach-Kendall, FL (-1.6 percentage points). The largest over-the-year jobless rate increase occurred in Gary, IN (+1.5 percentage points). Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) In December, nonfarm payroll employment increased over the year in 81 metropolitan areas and was essentially unchanged in 308 areas. The largest over-the-year employment increases occurred in New York-Newark-Jersey City, NY-NJ-PA (+344,400), Dallas-Fort Worth-Arlington, TX (+234,700), and Los Angeles-Long Beach-Anaheim, CA (+215,700). The largest over-the-year percentage gains in employment occurred in Charleston-North Charleston, SC, and Dallas-Fort Worth-Arlington, TX (+5.9 percent each), followed by Atlantic City-Hammonton, NJ (+5.8 percent). (See table 3.) Over the year, nonfarm employment increased in 40 metropolitan areas with a 2010 Census population of 1 million or more, while employment was essentially unchanged in 11 areas. The largest over-the-year percentage increases in employment in these large metropolitan areas occurred in Dallas-Fort Worth-Arlington, TX (+5.9 percent), Jacksonville, FL (+5.7 percent), and Houston-The Woodlands-Sugar Land, TX (+5.6 percent). Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) In December, nonfarm payroll employment increased over the year in 22 metropolitan divisions and was essentially unchanged in 16 divisions. The largest over-the-year increases in employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+289,500), Dallas-Plano-Irving, TX (+182,100), and Los Angeles-Long Beach-Glendale, CA (+145,400). (See table 4.) The largest over-the-year percentage increases in employment occurred in Dallas- Plano-Irving, TX (+6.4 percent), San Francisco-Redwood City-South San Francisco, CA (+5.3 percent), and Lowell-Billerica-Chelmsford, MA-NH (+5.2 percent). _____________ The Regional and State Unemployment 2022 Annual Averages news release is scheduled to be released on Wednesday, March 1, 2023, at 10:00 a.m. (ET). The State Employment and Unemployment news release for January 2023 is scheduled to be released on Monday, March 13, 2023, at 10:00 a.m. (ET). The Metropolitan Area Employment and Unemployment news release for January 2023 is scheduled to be released on Friday, March 17, 2023, at 10:00 a.m. (ET). _______________________________________________________________________________________ | | | Upcoming Changes to Local Area Unemployment Statistics Data | | | | Effective with the release of Regional and State Unemployment 2022 Annual Averages on | | March 1, 2023, the civilian labor force and unemployment data for the states, the | | District of Columbia, and the modeled substate areas presented in tables 1 and 2 of | | this news release will be revised from 2018 to 2022 to incorporate updated inputs, | | new population controls, reestimation of models, and adjustment to new census | | division and national control totals. The population controls will continue to | | reflect a "blended base," with elements from three independent data sources for April | | 1, 2020. Subsequently, civilian labor force and unemployment estimates for all other | | metropolitan areas and metropolitan divisions will be revised to reflect updated | | inputs and adjustment to the new statewide estimates. These revised estimates will be | | published in conjunction with the March 2023 State Employment and Unemployment news | | release on April 21, 2023. | |_______________________________________________________________________________________| _______________________________________________________________________________________ | | | Upcoming Changes to Current Employment Statistics Data | | | | Effective with the release of January 2023 estimates on March 13, 2023, all nonfarm | | payroll employment estimates for states and areas presented in tables 3 and 4 of this | | news release will be adjusted to 2022 benchmark levels. Not seasonally adjusted data | | beginning with April 2021 and seasonally adjusted data beginning with January 2018 | | are subject to revision. Some not seasonally adjusted and seasonally adjusted series | | may be revised as far back as 1990. | | | | In addition, the Current Employment Statistics (CES) State and Area division will | | revise the basis for industry classification from the 2017 North American Industry | | Classification System (NAICS) to NAICS 2022. The conversion to NAICS 2022 will result | | in revisions reflecting content and coding changes within the mining and logging, | | manufacturing, wholesale trade, retail trade, information, financial activities, and | | other services sectors. The majority of the changes associated with the NAICS 2022 | | update impact levels of detail not published by CES State and Area. Details of | | updated titles and new, discontinued, and collapsed industries resulting from the | | NAICS 2022 update, as well as changes due to the annual benchmarking process, will | | be available on March 13, 2023. For more information on NAICS 2022, visit | | www.census.gov/naics. | |_______________________________________________________________________________________| _______________________________________________________________________________________ | | | Household Data for Puerto Rico | | | | Due to Hurricane Fiona, Puerto Rico was not able to conduct normal data collection | | for its household survey for September 2022. Data collection started again in | | October, and BLS resumed publication of the not seasonally adjusted data effective | | with the release of October estimates. Publication of seasonally adjusted data for | | Puerto Rico will resume at a later time, pending further research. | |_______________________________________________________________________________________|
Technical Note This news release presents civilian labor force and unemployment data from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 389 metropolitan statistical areas and metropolitan New England City and Town Areas (NECTAs), plus 7 areas in Puerto Rico. Estimates for 38 metropolitan and NECTA divisions also are presented. Nonfarm payroll employment estimates from the Current Employment Statistics (CES) program (tables 3 and 4) are provided for the same areas. State estimates were previously published in the news release State Employment and Unemployment, and are republished in this news release for ease of reference. The LAUS and CES programs are both federal-state cooperative endeavors. Civilian labor force and unemployment--from the LAUS program Definitions. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the official national estimates obtained from the Current Population Survey (CPS), a sample survey of households that is conducted for the Bureau of Labor Statistics (BLS) by the U.S. Census Bureau. The LAUS program measures employed persons and unemployed persons on a place-of-residence basis. The universe for each is the civilian noninstitutional population 16 years of age and older. Employed persons are those who did any work at all for pay or profit in the reference week (typically the week including the 12th of the month) or worked 15 hours or more without pay in a family business or farm, plus those not working who had a job from which they were temporarily absent, whether or not paid, for such reasons as labor-management dispute, illness, or vacation. Unemployed persons are those who were not employed during the reference week (based on the definition above), had actively looked for a job sometime in the 4-week period ending with the reference week, and were currently available for work; persons on layoff expecting recall need not be looking for work to be counted as unemployed. The civilian labor force is the sum of employed and unemployed persons. The unemployment rate is the number of unemployed as a percent of the civilian labor force. Method of estimation. Estimates for states, the District of Columbia, the Los Angeles-Long Beach-Glendale metropolitan division, and New York City are produced using time-series models with real-time benchmarking to national CPS totals. Model- based estimates are also produced for the following areas and their respective balances: the Chicago-Naperville-Arlington Heights, IL Metropolitan Division; Cleveland-Elyria, OH Metropolitan Statistical Area; Detroit-Warren-Dearborn, MI Metropolitan Statistical Area; Miami-Miami Beach-Kendall, FL Metropolitan Division; and Seattle-Bellevue-Everett, WA Metropolitan Division. Modeling improves the statistical basis of the estimation for these areas and provides important tools for analysis, such as measures of errors and seasonally adjusted series. For all other substate areas in this news release, estimates are prepared through indirect estimation procedures using a building-block approach. Estimates of employed persons, which are based largely on “place of work” estimates from the CES program, are adjusted to refer to place of residence as used in the CPS. Unemployment estimates are aggregates of persons previously employed in industries covered by state unemployment insurance (UI) laws and entrants to the labor force from the CPS. The substate estimates of employment and unemployment, which geographically exhaust the entire state, are adjusted proportionally to ensure that they add to the independently estimated model-based area totals. A detailed description of the estimation procedures is available from BLS upon request. Annual revisions. Civilian labor force and unemployment data shown for the prior year reflect adjustments made at the beginning of each year, usually implemented with the issuance of January estimates. The adjusted model-based estimates typically reflect updated population data from the U.S. Census Bureau, any revisions in other input data sources, and model re-estimation. All substate estimates then are re-estimated using updated inputs and adjusted to add to the revised model-based totals. In early 2021, a new generation of time-series models was implemented, resulting in the replacement of data back to the series beginnings. Employment--from the CES program Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2017 version of the North American Industry Classification System. Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible, these data are produced using a "weighted link relative" estimation technique in which a ratio of current month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month's employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria. For some employment series, the estimates are produced with a model that uses direct sample estimates (described above) combined with other regressors to compensate for smaller sample sizes. Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months. Seasonal adjustment. Payroll employment data are seasonally adjusted for states, metropolitan areas, and metropolitan divisions at the total nonfarm level. For states, data are seasonally adjusted at the supersector level as well. Revisions to historical data for the most recent 5 years are made once a year, coincident with annual benchmark adjustments. Payroll employment data are seasonally adjusted concurrently, using all available estimates including those for the current month, to develop sample-based seasonal factors. Concurrent sample-based factors are created every month for the current month's preliminary estimate as well as the previous month's final estimate. Reliability of the estimates The estimates presented in this news release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability—that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding. Use of error measures Civilian labor force and unemployment estimates. Measures of sampling error are not available for metropolitan areas or metropolitan divisions. Model-based error measures for states are available on the BLS website at www.bls.gov/laus/lastderr.htm. Measures of nonsampling error are not available for the areas contained in this news release. Information on recent data revisions for states and local areas is available online at www.bls.gov/lau/launews1.htm. Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this news release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states at the supersector level and for the private service-providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/web/laus/790stderr.htm. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf. Area definitions The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. Data reflect New England City and Town Area (NECTA) definitions, rather than county-based definitions, in the six New England States. A detailed list of the geographic definitions is available online at www.bls.gov/lau/lausmsa.htm. Additional information Estimates of unadjusted and seasonally adjusted civilian labor force and unemployment data for states and seven substate areas are available in the news release State Employment and Unemployment. Estimates of civilian labor force and unemployment for all states, metropolitan areas, counties, cities with a population of 25,000 or more, and other areas used in the administration of various federal economic assistance programs are available on the Internet at www.bls.gov/lau/. Employment data from the CES program for states and metropolitan areas are available on the BLS website at www.bls.gov/sae/. If you are deaf, hard of hearing, or have a speech disability, please dial 7-1-1 to access telecommunications relay services.
State and area | Civilian labor force | Unemployed | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
November | December | Number | Percent of labor force | |||||||||
2021 | 2022 | 2021 | 2022(p) | November | December | November | December | |||||
2021 | 2022 | 2021 | 2022(p) | 2021 | 2022 | 2021 | 2022(p) | |||||
Alabama |
2,256,694 | 2,287,325 | 2,249,968 | 2,284,705 | 58,866 | 54,460 | 59,223 | 51,645 | 2.6 | 2.4 | 2.6 | 2.3 |
Anniston-Oxford-Jacksonville |
45,845 | 46,344 | 45,712 | 46,442 | 1,442 | 1,222 | 1,460 | 1,116 | 3.1 | 2.6 | 3.2 | 2.4 |
Auburn-Opelika |
77,602 | 78,593 | 77,399 | 78,506 | 1,727 | 1,711 | 1,671 | 1,557 | 2.2 | 2.2 | 2.2 | 2.0 |
Birmingham-Hoover |
560,606 | 565,712 | 558,119 | 568,738 | 13,514 | 12,155 | 13,534 | 11,229 | 2.4 | 2.1 | 2.4 | 2.0 |
Daphne-Fairhope-Foley |
99,271 | 99,455 | 99,220 | 99,370 | 2,254 | 2,195 | 2,176 | 2,097 | 2.3 | 2.2 | 2.2 | 2.1 |
Decatur |
73,657 | 74,723 | 73,696 | 74,770 | 1,511 | 1,457 | 1,487 | 1,316 | 2.1 | 1.9 | 2.0 | 1.8 |
Dothan |
65,118 | 65,885 | 65,255 | 65,824 | 1,603 | 1,548 | 1,580 | 1,476 | 2.5 | 2.3 | 2.4 | 2.2 |
Florence-Muscle Shoals |
66,185 | 66,444 | 65,437 | 66,461 | 1,745 | 1,661 | 1,795 | 1,622 | 2.6 | 2.5 | 2.7 | 2.4 |
Gadsden |
39,164 | 39,344 | 39,088 | 39,204 | 1,220 | 1,053 | 1,218 | 973 | 3.1 | 2.7 | 3.1 | 2.5 |
Huntsville |
239,841 | 243,791 | 239,285 | 244,014 | 4,946 | 4,772 | 4,742 | 4,418 | 2.1 | 2.0 | 2.0 | 1.8 |
Mobile |
192,003 | 191,010 | 191,694 | 190,953 | 6,568 | 5,717 | 6,909 | 5,684 | 3.4 | 3.0 | 3.6 | 3.0 |
Montgomery |
174,090 | 176,534 | 174,277 | 176,075 | 5,354 | 4,687 | 5,656 | 4,471 | 3.1 | 2.7 | 3.2 | 2.5 |
Tuscaloosa |
115,439 | 116,540 | 114,876 | 116,118 | 3,197 | 2,823 | 3,220 | 2,539 | 2.8 | 2.4 | 2.8 | 2.2 |
Alaska |
359,883 | 356,997 | 358,926 | 357,502 | 19,216 | 15,243 | 18,586 | 14,969 | 5.3 | 4.3 | 5.2 | 4.2 |
Anchorage |
205,570 | 206,031 | 205,827 | 206,845 | 9,906 | 7,454 | 9,522 | 7,276 | 4.8 | 3.6 | 4.6 | 3.5 |
Fairbanks |
46,547 | 46,368 | 46,592 | 46,672 | 2,087 | 1,762 | 1,988 | 1,697 | 4.5 | 3.8 | 4.3 | 3.6 |
Arizona |
3,549,254 | 3,638,190 | 3,536,972 | 3,642,051 | 113,525 | 130,713 | 104,124 | 117,092 | 3.2 | 3.6 | 2.9 | 3.2 |
Flagstaff |
74,128 | 76,824 | 73,348 | 76,606 | 2,924 | 3,192 | 2,843 | 2,930 | 3.9 | 4.2 | 3.9 | 3.8 |
Lake Havasu City-Kingman |
87,955 | 89,195 | 87,343 | 89,448 | 3,444 | 3,968 | 3,166 | 3,499 | 3.9 | 4.4 | 3.6 | 3.9 |
Phoenix-Mesa-Scottsdale |
2,525,302 | 2,584,944 | 2,518,007 | 2,590,356 | 70,699 | 76,415 | 64,781 | 70,053 | 2.8 | 3.0 | 2.6 | 2.7 |
Prescott |
106,091 | 109,317 | 105,633 | 109,004 | 2,786 | 3,171 | 2,524 | 2,959 | 2.6 | 2.9 | 2.4 | 2.7 |
Sierra Vista-Douglas |
49,242 | 49,680 | 48,973 | 49,874 | 1,652 | 1,943 | 1,514 | 1,787 | 3.4 | 3.9 | 3.1 | 3.6 |
Tucson |
483,147 | 488,679 | 482,383 | 492,280 | 15,303 | 16,544 | 14,053 | 15,056 | 3.2 | 3.4 | 2.9 | 3.1 |
Yuma |
97,216 | 109,722 | 96,004 | 105,123 | 10,992 | 18,301 | 9,911 | 14,380 | 11.3 | 16.7 | 10.3 | 13.7 |
Arkansas |
1,334,229 | 1,346,605 | 1,330,940 | 1,344,018 | 34,193 | 40,735 | 35,898 | 39,470 | 2.6 | 3.0 | 2.7 | 2.9 |
Fayetteville-Springdale-Rogers |
290,790 | 296,946 | 290,164 | 294,714 | 5,168 | 6,337 | 5,428 | 6,034 | 1.8 | 2.1 | 1.9 | 2.0 |
Fort Smith |
116,178 | 117,353 | 115,747 | 117,021 | 2,959 | 3,483 | 2,926 | 3,202 | 2.5 | 3.0 | 2.5 | 2.7 |
Hot Springs |
39,896 | 40,449 | 39,935 | 40,743 | 1,271 | 1,451 | 1,323 | 1,442 | 3.2 | 3.6 | 3.3 | 3.5 |
Jonesboro |
65,788 | 66,319 | 65,736 | 66,598 | 1,319 | 1,691 | 1,407 | 1,597 | 2.0 | 2.5 | 2.1 | 2.4 |
Little Rock-North Little Rock-Conway |
350,634 | 353,381 | 350,674 | 353,640 | 9,282 | 10,178 | 9,552 | 9,797 | 2.6 | 2.9 | 2.7 | 2.8 |
Pine Bluff |
32,460 | 32,495 | 32,556 | 32,759 | 1,398 | 1,529 | 1,472 | 1,517 | 4.3 | 4.7 | 4.5 | 4.6 |
California |
19,129,013 | 19,221,458 | 19,041,028 | 19,220,972 | 988,408 | 777,043 | 913,303 | 716,249 | 5.2 | 4.0 | 4.8 | 3.7 |
Bakersfield |
387,242 | 391,538 | 378,851 | 388,872 | 28,700 | 26,559 | 28,473 | 25,861 | 7.4 | 6.8 | 7.5 | 6.7 |
Chico |
92,737 | 93,092 | 91,982 | 92,616 | 4,567 | 4,057 | 4,393 | 3,747 | 4.9 | 4.4 | 4.8 | 4.0 |
El Centro |
69,827 | 71,445 | 69,505 | 70,917 | 10,542 | 11,913 | 9,718 | 10,469 | 15.1 | 16.7 | 14.0 | 14.8 |
Fresno |
444,030 | 449,440 | 443,813 | 450,426 | 31,513 | 29,850 | 30,725 | 28,122 | 7.1 | 6.6 | 6.9 | 6.2 |
Hanford-Corcoran |
55,676 | 56,271 | 56,037 | 56,525 | 4,099 | 3,930 | 4,175 | 3,849 | 7.4 | 7.0 | 7.5 | 6.8 |
Los Angeles-Long Beach-Anaheim |
6,599,627 | 6,546,857 | 6,554,504 | 6,532,533 | 374,738 | 268,983 | 336,937 | 256,187 | 5.7 | 4.1 | 5.1 | 3.9 |
Madera |
61,284 | 62,321 | 62,076 | 63,578 | 4,144 | 3,939 | 4,105 | 3,803 | 6.8 | 6.3 | 6.6 | 6.0 |
Merced |
115,369 | 116,579 | 114,452 | 115,421 | 8,857 | 8,474 | 9,242 | 8,565 | 7.7 | 7.3 | 8.1 | 7.4 |
Modesto |
240,177 | 238,168 | 237,626 | 236,180 | 15,029 | 13,342 | 14,393 | 12,458 | 6.3 | 5.6 | 6.1 | 5.3 |
Napa |
67,640 | 67,552 | 67,092 | 67,404 | 2,857 | 2,160 | 2,722 | 1,989 | 4.2 | 3.2 | 4.1 | 3.0 |
Oxnard-Thousand Oaks-Ventura |
406,379 | 412,137 | 405,313 | 412,678 | 18,359 | 15,248 | 16,964 | 13,375 | 4.5 | 3.7 | 4.2 | 3.2 |
Redding |
73,200 | 73,867 | 72,624 | 73,387 | 3,695 | 3,234 | 3,499 | 2,981 | 5.0 | 4.4 | 4.8 | 4.1 |
Riverside-San Bernardino-Ontario |
2,156,212 | 2,194,177 | 2,154,984 | 2,200,196 | 115,582 | 92,098 | 106,683 | 79,578 | 5.4 | 4.2 | 5.0 | 3.6 |
Sacramento--Roseville--Arden-Arcade |
1,106,356 | 1,113,951 | 1,102,380 | 1,115,511 | 51,617 | 41,262 | 47,378 | 36,611 | 4.7 | 3.7 | 4.3 | 3.3 |
Salinas |
211,826 | 210,333 | 201,169 | 200,340 | 12,076 | 11,749 | 14,776 | 13,860 | 5.7 | 5.6 | 7.3 | 6.9 |
San Diego-Carlsbad |
1,575,096 | 1,581,097 | 1,570,184 | 1,588,968 | 71,017 | 52,906 | 64,259 | 45,587 | 4.5 | 3.3 | 4.1 | 2.9 |
San Francisco-Oakland-Hayward |
2,499,693 | 2,536,239 | 2,504,292 | 2,550,566 | 95,376 | 71,242 | 86,115 | 62,014 | 3.8 | 2.8 | 3.4 | 2.4 |
San Jose-Sunnyvale-Santa Clara |
1,062,242 | 1,088,513 | 1,067,389 | 1,093,480 | 34,236 | 26,583 | 31,026 | 23,228 | 3.2 | 2.4 | 2.9 | 2.1 |
San Luis Obispo-Paso Robles-Arroyo Grande |
139,177 | 136,823 | 134,986 | 136,057 | 4,819 | 3,775 | 4,402 | 3,296 | 3.5 | 2.8 | 3.3 | 2.4 |
Santa Cruz-Watsonville |
134,151 | 134,763 | 131,992 | 133,454 | 6,567 | 6,003 | 6,898 | 6,040 | 4.9 | 4.5 | 5.2 | 4.5 |
Santa Maria-Santa Barbara |
221,252 | 224,909 | 216,755 | 222,256 | 8,599 | 7,204 | 8,410 | 6,781 | 3.9 | 3.2 | 3.9 | 3.1 |
Santa Rosa |
244,301 | 247,475 | 243,938 | 248,408 | 9,212 | 7,169 | 8,413 | 6,307 | 3.8 | 2.9 | 3.4 | 2.5 |
Stockton-Lodi |
334,165 | 337,254 | 334,808 | 337,730 | 21,800 | 18,772 | 20,904 | 17,509 | 6.5 | 5.6 | 6.2 | 5.2 |
Vallejo-Fairfield |
200,848 | 200,011 | 200,121 | 200,722 | 10,999 | 8,574 | 10,295 | 7,663 | 5.5 | 4.3 | 5.1 | 3.8 |
Visalia-Porterville |
203,453 | 205,531 | 200,861 | 203,906 | 16,592 | 17,596 | 16,358 | 16,725 | 8.2 | 8.6 | 8.1 | 8.2 |
Yuba City |
76,219 | 75,850 | 75,795 | 75,557 | 5,051 | 4,834 | 5,037 | 4,751 | 6.6 | 6.4 | 6.6 | 6.3 |
Colorado |
3,184,714 | 3,257,021 | 3,184,396 | 3,229,977 | 125,142 | 107,695 | 114,622 | 89,526 | 3.9 | 3.3 | 3.6 | 2.8 |
Boulder |
199,137 | 206,170 | 198,590 | 201,887 | 6,072 | 5,443 | 5,517 | 4,429 | 3.0 | 2.6 | 2.8 | 2.2 |
Colorado Springs |
365,880 | 375,298 | 364,630 | 367,853 | 15,109 | 13,371 | 13,811 | 10,964 | 4.1 | 3.6 | 3.8 | 3.0 |
Denver-Aurora-Lakewood |
1,702,484 | 1,756,069 | 1,691,446 | 1,735,541 | 68,095 | 57,411 | 62,431 | 47,901 | 4.0 | 3.3 | 3.7 | 2.8 |
Fort Collins |
209,056 | 214,298 | 208,863 | 212,087 | 6,918 | 6,053 | 6,259 | 5,030 | 3.3 | 2.8 | 3.0 | 2.4 |
Grand Junction |
78,215 | 79,018 | 77,746 | 78,036 | 3,206 | 2,836 | 3,048 | 2,455 | 4.1 | 3.6 | 3.9 | 3.1 |
Greeley |
166,758 | 169,712 | 167,574 | 168,716 | 6,911 | 5,927 | 6,346 | 5,076 | 4.1 | 3.5 | 3.8 | 3.0 |
Pueblo |
78,042 | 79,694 | 77,843 | 78,452 | 4,719 | 4,055 | 4,462 | 3,353 | 6.0 | 5.1 | 5.7 | 4.3 |
Connecticut |
1,872,194 | 1,896,539 | 1,855,780 | 1,882,348 | 81,514 | 66,274 | 75,286 | 58,909 | 4.4 | 3.5 | 4.1 | 3.1 |
Bridgeport-Stamford-Norwalk |
454,971 | 460,493 | 451,403 | 458,388 | 20,180 | 16,809 | 18,470 | 14,861 | 4.4 | 3.7 | 4.1 | 3.2 |
Danbury |
103,926 | 105,732 | 102,945 | 104,937 | 3,800 | 3,124 | 3,434 | 2,801 | 3.7 | 3.0 | 3.3 | 2.7 |
Hartford-West Hartford-East Hartford |
615,127 | 621,663 | 610,169 | 617,095 | 26,689 | 21,466 | 24,794 | 19,063 | 4.3 | 3.5 | 4.1 | 3.1 |
New Haven |
331,352 | 337,134 | 327,755 | 334,058 | 13,594 | 11,057 | 12,411 | 9,658 | 4.1 | 3.3 | 3.8 | 2.9 |
Norwich-New London-Westerly |
135,076 | 136,590 | 133,314 | 134,221 | 6,524 | 5,039 | 6,019 | 4,285 | 4.8 | 3.7 | 4.5 | 3.2 |
Waterbury |
109,239 | 109,936 | 108,664 | 109,553 | 5,844 | 4,763 | 5,562 | 4,401 | 5.3 | 4.3 | 5.1 | 4.0 |
Delaware |
497,828 | 495,541 | 499,290 | 494,354 | 20,186 | 20,234 | 20,385 | 19,877 | 4.1 | 4.1 | 4.1 | 4.0 |
Dover |
81,330 | 80,884 | 81,691 | 80,565 | 3,708 | 3,766 | 3,738 | 3,695 | 4.6 | 4.7 | 4.6 | 4.6 |
Salisbury(1) |
193,175 | 192,262 | 193,655 | 192,515 | 9,375 | 9,023 | 9,911 | 9,095 | 4.9 | 4.7 | 5.1 | 4.7 |
District of Columbia |
387,907 | 370,433 | 383,122 | 370,762 | 22,142 | 16,525 | 19,706 | 16,843 | 5.7 | 4.5 | 5.1 | 4.5 |
Washington-Arlington-Alexandria |
3,375,610 | 3,352,757 | 3,360,187 | 3,364,619 | 132,971 | 104,813 | 122,133 | 95,408 | 3.9 | 3.1 | 3.6 | 2.8 |
Florida |
10,443,334 | 10,770,171 | 10,452,212 | 10,775,173 | 339,321 | 276,246 | 301,198 | 236,770 | 3.2 | 2.6 | 2.9 | 2.2 |
Cape Coral-Fort Myers |
362,561 | 375,652 | 362,039 | 377,849 | 11,119 | 13,443 | 9,800 | 10,941 | 3.1 | 3.6 | 2.7 | 2.9 |
Crestview-Fort Walton Beach-Destin |
132,267 | 136,451 | 131,834 | 136,001 | 3,318 | 3,098 | 2,993 | 2,630 | 2.5 | 2.3 | 2.3 | 1.9 |
Deltona-Daytona Beach-Ormond Beach |
306,307 | 317,352 | 306,607 | 316,748 | 10,556 | 9,382 | 9,400 | 8,071 | 3.4 | 3.0 | 3.1 | 2.5 |
Gainesville |
148,204 | 151,664 | 146,859 | 151,358 | 3,949 | 3,918 | 3,597 | 3,087 | 2.7 | 2.6 | 2.4 | 2.0 |
Homosassa Springs |
47,019 | 47,144 | 46,971 | 47,332 | 2,024 | 1,897 | 1,838 | 1,648 | 4.3 | 4.0 | 3.9 | 3.5 |
Jacksonville |
807,412 | 842,747 | 806,862 | 847,564 | 23,808 | 21,118 | 21,199 | 18,014 | 2.9 | 2.5 | 2.6 | 2.1 |
Lakeland-Winter Haven |
333,449 | 342,135 | 334,394 | 339,911 | 13,064 | 10,978 | 11,489 | 9,300 | 3.9 | 3.2 | 3.4 | 2.7 |
Miami-Fort Lauderdale-West Palm Beach |
3,104,480 | 3,165,450 | 3,106,486 | 3,178,898 | 102,678 | 66,978 | 91,401 | 59,312 | 3.3 | 2.1 | 2.9 | 1.9 |
Naples-Immokalee-Marco Island |
183,987 | 188,970 | 185,431 | 189,173 | 4,851 | 5,041 | 4,257 | 4,101 | 2.6 | 2.7 | 2.3 | 2.2 |
North Port-Sarasota-Bradenton |
381,043 | 393,204 | 381,270 | 390,770 | 10,843 | 10,161 | 9,611 | 8,636 | 2.8 | 2.6 | 2.5 | 2.2 |
Ocala |
142,009 | 145,145 | 142,308 | 144,671 | 5,260 | 4,671 | 4,666 | 3,996 | 3.7 | 3.2 | 3.3 | 2.8 |
Orlando-Kissimmee-Sanford |
1,365,194 | 1,414,348 | 1,366,646 | 1,407,116 | 49,339 | 38,615 | 43,483 | 32,717 | 3.6 | 2.7 | 3.2 | 2.3 |
Palm Bay-Melbourne-Titusville |
291,698 | 301,736 | 292,153 | 302,325 | 8,627 | 7,753 | 7,659 | 6,682 | 3.0 | 2.6 | 2.6 | 2.2 |
Panama City |
90,610 | 94,568 | 90,585 | 94,308 | 2,578 | 2,279 | 2,427 | 2,024 | 2.8 | 2.4 | 2.7 | 2.1 |
Pensacola-Ferry Pass-Brent |
233,147 | 239,375 | 232,348 | 237,685 | 7,142 | 6,225 | 6,420 | 5,523 | 3.1 | 2.6 | 2.8 | 2.3 |
Port St. Lucie |
225,538 | 233,327 | 225,742 | 232,873 | 7,454 | 6,538 | 6,609 | 5,623 | 3.3 | 2.8 | 2.9 | 2.4 |
Punta Gorda |
74,099 | 77,458 | 74,545 | 77,567 | 2,477 | 2,768 | 2,206 | 2,340 | 3.3 | 3.6 | 3.0 | 3.0 |
Sebastian-Vero Beach |
65,563 | 67,315 | 65,815 | 67,311 | 2,308 | 2,010 | 2,039 | 1,746 | 3.5 | 3.0 | 3.1 | 2.6 |
Sebring |
34,736 | 34,225 | 34,594 | 34,426 | 1,542 | 1,453 | 1,358 | 1,246 | 4.4 | 4.2 | 3.9 | 3.6 |
Tallahassee |
197,773 | 204,873 | 195,731 | 204,666 | 6,080 | 5,569 | 5,456 | 4,555 | 3.1 | 2.7 | 2.8 | 2.2 |
Tampa-St. Petersburg-Clearwater |
1,591,139 | 1,662,945 | 1,596,468 | 1,661,495 | 49,245 | 42,607 | 43,485 | 36,390 | 3.1 | 2.6 | 2.7 | 2.2 |
The Villages |
35,234 | 36,230 | 35,150 | 36,140 | 1,441 | 1,359 | 1,272 | 1,221 | 4.1 | 3.8 | 3.6 | 3.4 |
Georgia |
5,227,324 | 5,256,585 | 5,235,548 | 5,258,315 | 151,516 | 147,520 | 150,215 | 141,838 | 2.9 | 2.8 | 2.9 | 2.7 |
Albany |
65,715 | 65,403 | 66,197 | 64,412 | 2,492 | 2,377 | 2,423 | 2,253 | 3.8 | 3.6 | 3.7 | 3.5 |
Athens-Clarke County |
101,755 | 104,715 | 102,226 | 103,727 | 2,518 | 2,630 | 2,648 | 2,533 | 2.5 | 2.5 | 2.6 | 2.4 |
Atlanta-Sandy Springs-Roswell |
3,169,178 | 3,208,706 | 3,175,581 | 3,216,104 | 91,366 | 86,468 | 89,847 | 82,674 | 2.9 | 2.7 | 2.8 | 2.6 |
Augusta-Richmond County |
265,125 | 262,027 | 264,804 | 262,770 | 8,303 | 8,510 | 8,352 | 8,364 | 3.1 | 3.2 | 3.2 | 3.2 |
Brunswick |
52,503 | 52,753 | 52,663 | 52,554 | 1,487 | 1,471 | 1,494 | 1,389 | 2.8 | 2.8 | 2.8 | 2.6 |
Columbus |
122,101 | 121,666 | 122,746 | 121,842 | 4,174 | 4,225 | 4,062 | 3,973 | 3.4 | 3.5 | 3.3 | 3.3 |
Dalton |
58,795 | 57,976 | 59,152 | 58,247 | 1,701 | 2,078 | 1,750 | 2,236 | 2.9 | 3.6 | 3.0 | 3.8 |
Gainesville |
106,204 | 105,605 | 106,540 | 106,065 | 2,191 | 2,291 | 2,289 | 2,260 | 2.1 | 2.2 | 2.1 | 2.1 |
Hinesville |
34,785 | 34,347 | 34,924 | 34,291 | 1,014 | 1,017 | 1,023 | 948 | 2.9 | 3.0 | 2.9 | 2.8 |
Macon-Bibb County |
103,990 | 102,884 | 104,187 | 103,017 | 3,355 | 3,233 | 3,283 | 3,074 | 3.2 | 3.1 | 3.2 | 3.0 |
Rome |
43,889 | 43,918 | 44,001 | 44,253 | 1,171 | 1,225 | 1,199 | 1,206 | 2.7 | 2.8 | 2.7 | 2.7 |
Savannah |
198,932 | 199,726 | 199,752 | 198,853 | 5,771 | 5,212 | 5,687 | 4,920 | 2.9 | 2.6 | 2.8 | 2.5 |
Valdosta |
64,279 | 62,878 | 64,011 | 62,485 | 1,855 | 1,893 | 1,868 | 1,778 | 2.9 | 3.0 | 2.9 | 2.8 |
Warner Robins |
88,128 | 86,609 | 87,874 | 86,456 | 2,448 | 2,527 | 2,420 | 2,396 | 2.8 | 2.9 | 2.8 | 2.8 |
Hawaii |
677,620 | 673,742 | 678,211 | 675,860 | 31,538 | 26,416 | 29,515 | 24,031 | 4.7 | 3.9 | 4.4 | 3.6 |
Kahului-Wailuku-Lahaina |
88,259 | 86,928 | 88,094 | 87,575 | 4,994 | 3,665 | 4,628 | 3,316 | 5.7 | 4.2 | 5.3 | 3.8 |
Urban Honolulu |
457,348 | 455,429 | 459,370 | 457,096 | 20,139 | 17,301 | 18,903 | 15,689 | 4.4 | 3.8 | 4.1 | 3.4 |
Idaho |
923,828 | 965,425 | 922,062 | 958,570 | 25,693 | 25,261 | 24,225 | 22,548 | 2.8 | 2.6 | 2.6 | 2.4 |
Boise City |
398,087 | 414,824 | 400,832 | 416,686 | 10,893 | 10,332 | 9,971 | 8,867 | 2.7 | 2.5 | 2.5 | 2.1 |
Coeur d'Alene |
83,275 | 86,541 | 82,918 | 86,111 | 2,841 | 2,863 | 2,775 | 2,772 | 3.4 | 3.3 | 3.3 | 3.2 |
Idaho Falls |
77,778 | 81,416 | 77,362 | 81,040 | 1,659 | 1,780 | 1,629 | 1,635 | 2.1 | 2.2 | 2.1 | 2.0 |
Lewiston |
31,869 | 32,456 | 31,782 | 32,316 | 826 | 931 | 854 | 924 | 2.6 | 2.9 | 2.7 | 2.9 |
Pocatello |
43,849 | 45,812 | 43,744 | 45,160 | 1,175 | 1,174 | 1,093 | 989 | 2.7 | 2.6 | 2.5 | 2.2 |
Twin Falls |
54,957 | 57,641 | 54,724 | 57,286 | 1,514 | 1,444 | 1,425 | 1,364 | 2.8 | 2.5 | 2.6 | 2.4 |
Illinois |
6,386,585 | 6,416,518 | 6,371,891 | 6,382,192 | 275,705 | 282,241 | 270,793 | 267,397 | 4.3 | 4.4 | 4.2 | 4.2 |
Bloomington |
95,296 | 95,994 | 93,346 | 94,639 | 3,092 | 3,242 | 3,141 | 2,907 | 3.2 | 3.4 | 3.4 | 3.1 |
Carbondale-Marion |
59,941 | 58,764 | 59,012 | 58,412 | 2,425 | 2,389 | 2,402 | 2,135 | 4.0 | 4.1 | 4.1 | 3.7 |
Champaign-Urbana |
127,524 | 125,439 | 124,456 | 124,187 | 4,285 | 4,457 | 4,267 | 3,989 | 3.4 | 3.6 | 3.4 | 3.2 |
Chicago-Naperville-Elgin |
4,862,288 | 4,912,746 | 4,872,792 | 4,892,205 | 208,265 | 216,385 | 199,410 | 206,914 | 4.3 | 4.4 | 4.1 | 4.2 |
Danville |
31,635 | 31,371 | 31,098 | 31,218 | 1,609 | 1,631 | 1,550 | 1,509 | 5.1 | 5.2 | 5.0 | 4.8 |
Davenport-Moline-Rock Island(1) |
186,401 | 192,846 | 185,485 | 190,708 | 7,484 | 7,122 | 7,670 | 7,093 | 4.0 | 3.7 | 4.1 | 3.7 |
Decatur |
46,707 | 46,171 | 46,032 | 45,645 | 2,812 | 2,619 | 2,785 | 2,329 | 6.0 | 5.7 | 6.1 | 5.1 |
Kankakee |
52,314 | 52,379 | 51,748 | 52,251 | 2,656 | 2,800 | 2,763 | 2,652 | 5.1 | 5.3 | 5.3 | 5.1 |
Peoria |
169,581 | 169,556 | 167,247 | 168,453 | 7,643 | 7,648 | 7,732 | 7,149 | 4.5 | 4.5 | 4.6 | 4.2 |
Rockford |
159,328 | 159,143 | 158,340 | 158,987 | 10,343 | 9,281 | 10,670 | 8,573 | 6.5 | 5.8 | 6.7 | 5.4 |
Springfield |
105,268 | 105,050 | 103,907 | 105,050 | 4,243 | 4,128 | 4,204 | 3,740 | 4.0 | 3.9 | 4.0 | 3.6 |
Indiana |
3,314,714 | 3,397,027 | 3,289,362 | 3,398,327 | 72,337 | 96,888 | 49,475 | 83,107 | 2.2 | 2.9 | 1.5 | 2.4 |
Bloomington |
80,753 | 84,103 | 79,382 | 81,604 | 1,393 | 2,183 | 899 | 1,636 | 1.7 | 2.6 | 1.1 | 2.0 |
Columbus |
42,681 | 43,560 | 42,442 | 43,738 | 733 | 1,012 | 495 | 841 | 1.7 | 2.3 | 1.2 | 1.9 |
Elkhart-Goshen |
116,228 | 118,895 | 115,874 | 119,011 | 1,716 | 3,339 | 1,140 | 2,998 | 1.5 | 2.8 | 1.0 | 2.5 |
Evansville |
155,973 | 159,273 | 154,895 | 159,841 | 3,478 | 4,456 | 2,605 | 3,747 | 2.2 | 2.8 | 1.7 | 2.3 |
Fort Wayne |
215,126 | 220,403 | 213,153 | 220,727 | 4,441 | 5,802 | 2,996 | 4,806 | 2.1 | 2.6 | 1.4 | 2.2 |
Indianapolis-Carmel-Anderson |
1,083,997 | 1,113,924 | 1,076,300 | 1,110,642 | 22,789 | 29,089 | 15,429 | 23,930 | 2.1 | 2.6 | 1.4 | 2.2 |
Kokomo |
33,821 | 33,992 | 33,030 | 33,951 | 1,721 | 1,631 | 949 | 1,461 | 5.1 | 4.8 | 2.9 | 4.3 |
Lafayette-West Lafayette |
108,823 | 111,808 | 108,224 | 111,882 | 2,152 | 2,937 | 1,423 | 2,219 | 2.0 | 2.6 | 1.3 | 2.0 |
Michigan City-La Porte |
46,051 | 46,383 | 45,482 | 46,467 | 1,374 | 1,668 | 984 | 1,553 | 3.0 | 3.6 | 2.2 | 3.3 |
Muncie |
51,848 | 54,270 | 51,484 | 54,251 | 1,265 | 1,647 | 855 | 1,328 | 2.4 | 3.0 | 1.7 | 2.4 |
South Bend-Mishawaka |
153,016 | 159,258 | 151,621 | 158,837 | 4,001 | 5,363 | 3,088 | 4,901 | 2.6 | 3.4 | 2.0 | 3.1 |
Terre Haute |
71,239 | 72,155 | 70,577 | 72,282 | 1,820 | 2,424 | 1,279 | 2,122 | 2.6 | 3.4 | 1.8 | 2.9 |
Iowa |
1,680,211 | 1,709,010 | 1,680,583 | 1,702,556 | 53,327 | 48,427 | 59,381 | 51,751 | 3.2 | 2.8 | 3.5 | 3.0 |
Ames |
58,873 | 60,811 | 58,970 | 59,701 | 1,299 | 1,304 | 1,405 | 1,137 | 2.2 | 2.1 | 2.4 | 1.9 |
Cedar Rapids |
140,838 | 142,624 | 140,768 | 142,727 | 5,263 | 4,748 | 5,598 | 4,984 | 3.7 | 3.3 | 4.0 | 3.5 |
Des Moines-West Des Moines |
363,098 | 368,525 | 362,322 | 367,598 | 11,436 | 10,139 | 12,130 | 10,339 | 3.1 | 2.8 | 3.3 | 2.8 |
Dubuque |
54,639 | 55,378 | 55,177 | 55,603 | 1,772 | 1,545 | 2,069 | 1,774 | 3.2 | 2.8 | 3.7 | 3.2 |
Iowa City |
97,158 | 100,516 | 96,554 | 99,710 | 2,661 | 2,408 | 2,858 | 2,332 | 2.7 | 2.4 | 3.0 | 2.3 |
Sioux City |
91,710 | 93,183 | 92,149 | 93,179 | 2,627 | 2,503 | 3,017 | 2,726 | 2.9 | 2.7 | 3.3 | 2.9 |
Waterloo-Cedar Falls |
88,053 | 89,401 | 87,951 | 89,452 | 2,922 | 2,548 | 3,266 | 2,805 | 3.3 | 2.9 | 3.7 | 3.1 |
Kansas |
1,501,811 | 1,506,485 | 1,493,120 | 1,516,314 | 32,523 | 37,331 | 29,276 | 39,199 | 2.2 | 2.5 | 2.0 | 2.6 |
Lawrence |
66,633 | 65,862 | 65,523 | 65,704 | 1,307 | 1,564 | 1,197 | 1,681 | 2.0 | 2.4 | 1.8 | 2.6 |
Manhattan |
48,152 | 47,296 | 45,970 | 46,506 | 818 | 1,091 | 762 | 1,218 | 1.7 | 2.3 | 1.7 | 2.6 |
Topeka |
118,606 | 120,007 | 117,612 | 120,519 | 2,477 | 3,032 | 2,323 | 3,222 | 2.1 | 2.5 | 2.0 | 2.7 |
Wichita |
319,771 | 319,915 | 317,498 | 320,744 | 9,377 | 9,219 | 8,394 | 9,455 | 2.9 | 2.9 | 2.6 | 2.9 |
Kentucky |
2,062,734 | 2,043,491 | 2,060,990 | 2,039,805 | 78,955 | 76,652 | 79,765 | 68,404 | 3.8 | 3.8 | 3.9 | 3.4 |
Bowling Green |
84,157 | 83,961 | 84,099 | 83,633 | 2,743 | 3,088 | 2,805 | 2,645 | 3.3 | 3.7 | 3.3 | 3.2 |
Elizabethtown-Fort Knox |
64,798 | 64,214 | 65,010 | 64,394 | 2,700 | 2,582 | 2,694 | 2,291 | 4.2 | 4.0 | 4.1 | 3.6 |
Lexington-Fayette |
275,446 | 273,257 | 275,622 | 274,006 | 8,214 | 8,556 | 8,384 | 7,184 | 3.0 | 3.1 | 3.0 | 2.6 |
Louisville/Jefferson County |
673,880 | 680,771 | 672,926 | 678,057 | 24,768 | 21,067 | 22,337 | 18,131 | 3.7 | 3.1 | 3.3 | 2.7 |
Owensboro |
54,432 | 53,929 | 54,722 | 54,052 | 1,803 | 2,181 | 1,885 | 1,987 | 3.3 | 4.0 | 3.4 | 3.7 |
Louisiana |
2,071,852 | 2,103,985 | 2,061,712 | 2,091,398 | 83,122 | 61,710 | 73,584 | 70,011 | 4.0 | 2.9 | 3.6 | 3.3 |
Alexandria |
64,030 | 65,607 | 63,922 | 65,003 | 1,904 | 1,625 | 1,668 | 1,886 | 3.0 | 2.5 | 2.6 | 2.9 |
Baton Rouge |
420,969 | 425,819 | 420,239 | 423,863 | 14,767 | 11,152 | 13,003 | 12,564 | 3.5 | 2.6 | 3.1 | 3.0 |
Hammond |
55,836 | 56,807 | 55,862 | 56,371 | 2,721 | 2,057 | 2,433 | 2,355 | 4.9 | 3.6 | 4.4 | 4.2 |
Houma-Thibodaux |
83,088 | 84,652 | 82,637 | 83,865 | 3,495 | 2,348 | 3,010 | 2,659 | 4.2 | 2.8 | 3.6 | 3.2 |
Lafayette |
212,691 | 217,332 | 211,602 | 215,089 | 7,587 | 5,787 | 6,708 | 6,622 | 3.6 | 2.7 | 3.2 | 3.1 |
Lake Charles |
101,911 | 103,193 | 101,006 | 102,214 | 3,910 | 2,749 | 3,524 | 3,094 | 3.8 | 2.7 | 3.5 | 3.0 |
Monroe |
78,524 | 79,068 | 78,277 | 78,245 | 2,816 | 2,290 | 2,512 | 2,584 | 3.6 | 2.9 | 3.2 | 3.3 |
New Orleans-Metairie |
585,810 | 602,154 | 582,640 | 600,820 | 27,582 | 18,802 | 24,265 | 21,076 | 4.7 | 3.1 | 4.2 | 3.5 |
Shreveport-Bossier City |
185,534 | 187,628 | 183,638 | 186,464 | 7,212 | 5,681 | 6,412 | 6,392 | 3.9 | 3.0 | 3.5 | 3.4 |
Maine |
675,060 | 666,079 | 672,934 | 666,741 | 25,978 | 23,287 | 23,592 | 22,855 | 3.8 | 3.5 | 3.5 | 3.4 |
Bangor |
70,304 | 69,435 | 69,619 | 69,590 | 2,529 | 2,233 | 2,320 | 2,159 | 3.6 | 3.2 | 3.3 | 3.1 |
Lewiston-Auburn |
54,606 | 53,545 | 54,537 | 53,984 | 2,192 | 1,915 | 1,928 | 1,866 | 4.0 | 3.6 | 3.5 | 3.5 |
Portland-South Portland |
204,941 | 206,870 | 203,248 | 205,232 | 6,865 | 5,930 | 6,050 | 5,623 | 3.3 | 2.9 | 3.0 | 2.7 |
Maryland |
3,203,506 | 3,171,678 | 3,199,841 | 3,194,131 | 159,874 | 111,813 | 149,245 | 102,193 | 5.0 | 3.5 | 4.7 | 3.2 |
Baltimore-Columbia-Towson |
1,499,667 | 1,492,656 | 1,501,247 | 1,502,740 | 70,749 | 51,750 | 67,083 | 46,989 | 4.7 | 3.5 | 4.5 | 3.1 |
California-Lexington Park |
57,361 | 56,978 | 57,646 | 57,741 | 2,316 | 1,787 | 2,236 | 1,665 | 4.0 | 3.1 | 3.9 | 2.9 |
Cumberland |
42,967 | 41,994 | 43,220 | 42,089 | 2,061 | 1,736 | 2,138 | 1,695 | 4.8 | 4.1 | 4.9 | 4.0 |
Hagerstown-Martinsburg |
134,431 | 132,108 | 134,889 | 133,061 | 4,726 | 4,201 | 4,605 | 3,821 | 3.5 | 3.2 | 3.4 | 2.9 |
Massachusetts |
3,770,869 | 3,716,814 | 3,763,429 | 3,712,433 | 159,898 | 107,741 | 155,428 | 119,667 | 4.2 | 2.9 | 4.1 | 3.2 |
Barnstable Town |
120,051 | 117,731 | 119,832 | 115,717 | 6,018 | 4,322 | 6,228 | 5,249 | 5.0 | 3.7 | 5.2 | 4.5 |
Boston-Cambridge-Nashua |
2,800,552 | 2,788,174 | 2,795,481 | 2,788,246 | 108,377 | 73,890 | 102,801 | 80,002 | 3.9 | 2.7 | 3.7 | 2.9 |
Leominster-Gardner |
79,835 | 78,465 | 79,939 | 78,764 | 3,897 | 2,684 | 3,978 | 3,101 | 4.9 | 3.4 | 5.0 | 3.9 |
New Bedford |
85,104 | 82,503 | 84,888 | 82,369 | 4,956 | 3,679 | 5,080 | 4,116 | 5.8 | 4.5 | 6.0 | 5.0 |
Pittsfield |
40,885 | 38,677 | 41,099 | 38,978 | 2,172 | 1,513 | 2,230 | 1,775 | 5.3 | 3.9 | 5.4 | 4.6 |
Springfield |
377,390 | 370,026 | 375,491 | 367,530 | 18,222 | 12,658 | 18,011 | 13,729 | 4.8 | 3.4 | 4.8 | 3.7 |
Worcester |
359,884 | 350,449 | 358,980 | 351,150 | 15,401 | 10,650 | 14,934 | 11,636 | 4.3 | 3.0 | 4.2 | 3.3 |
Michigan |
4,798,984 | 4,848,178 | 4,787,712 | 4,844,991 | 190,863 | 169,173 | 199,169 | 186,123 | 4.0 | 3.5 | 4.2 | 3.8 |
Ann Arbor |
193,039 | 199,140 | 192,598 | 196,315 | 5,406 | 6,120 | 5,598 | 5,898 | 2.8 | 3.1 | 2.9 | 3.0 |
Battle Creek |
59,256 | 60,280 | 59,118 | 59,917 | 2,705 | 2,561 | 2,853 | 2,712 | 4.6 | 4.2 | 4.8 | 4.5 |
Bay City |
47,861 | 48,833 | 47,845 | 48,734 | 2,000 | 2,170 | 2,281 | 2,481 | 4.2 | 4.4 | 4.8 | 5.1 |
Detroit-Warren-Dearborn |
2,135,252 | 2,106,174 | 2,134,360 | 2,118,919 | 90,378 | 62,013 | 89,737 | 69,913 | 4.2 | 2.9 | 4.2 | 3.3 |
Flint |
173,853 | 177,367 | 173,854 | 176,881 | 9,332 | 9,147 | 9,686 | 9,534 | 5.4 | 5.2 | 5.6 | 5.4 |
Grand Rapids-Wyoming |
566,623 | 587,958 | 563,869 | 586,790 | 17,035 | 17,599 | 18,056 | 18,187 | 3.0 | 3.0 | 3.2 | 3.1 |
Jackson |
72,374 | 73,166 | 72,291 | 72,600 | 2,812 | 2,814 | 3,019 | 3,032 | 3.9 | 3.8 | 4.2 | 4.2 |
Kalamazoo-Portage |
163,456 | 167,752 | 163,021 | 166,582 | 5,679 | 6,137 | 6,112 | 6,493 | 3.5 | 3.7 | 3.7 | 3.9 |
Lansing-East Lansing |
236,212 | 248,195 | 234,375 | 245,627 | 7,902 | 8,463 | 8,353 | 8,734 | 3.3 | 3.4 | 3.6 | 3.6 |
Midland |
38,122 | 38,898 | 38,165 | 38,616 | 1,261 | 1,490 | 1,395 | 1,590 | 3.3 | 3.8 | 3.7 | 4.1 |
Monroe |
72,358 | 73,928 | 72,278 | 73,532 | 2,818 | 2,949 | 2,829 | 3,121 | 3.9 | 4.0 | 3.9 | 4.2 |
Muskegon |
75,308 | 77,128 | 75,324 | 76,673 | 3,998 | 3,776 | 4,094 | 3,818 | 5.3 | 4.9 | 5.4 | 5.0 |
Niles-Benton Harbor |
69,466 | 71,230 | 69,629 | 70,877 | 2,771 | 2,923 | 3,003 | 3,238 | 4.0 | 4.1 | 4.3 | 4.6 |
Saginaw |
81,012 | 82,883 | 81,064 | 82,713 | 4,054 | 4,156 | 4,286 | 4,559 | 5.0 | 5.0 | 5.3 | 5.5 |
Minnesota |
3,032,983 | 3,064,103 | 3,044,101 | 3,076,179 | 66,209 | 62,080 | 79,778 | 90,873 | 2.2 | 2.0 | 2.6 | 3.0 |
Duluth |
139,266 | 139,703 | 139,630 | 138,971 | 3,809 | 3,847 | 4,490 | 5,042 | 2.7 | 2.8 | 3.2 | 3.6 |
Mankato-North Mankato |
59,980 | 60,642 | 60,339 | 60,736 | 1,055 | 978 | 1,284 | 1,493 | 1.8 | 1.6 | 2.1 | 2.5 |
Minneapolis-St. Paul-Bloomington |
1,991,636 | 2,029,673 | 1,991,752 | 2,028,489 | 42,875 | 39,222 | 48,274 | 53,194 | 2.2 | 1.9 | 2.4 | 2.6 |
Rochester |
125,175 | 126,776 | 126,103 | 127,371 | 2,275 | 2,084 | 2,758 | 3,128 | 1.8 | 1.6 | 2.2 | 2.5 |
St. Cloud |
110,441 | 110,770 | 111,517 | 111,677 | 2,535 | 2,401 | 3,272 | 3,737 | 2.3 | 2.2 | 2.9 | 3.3 |
Mississippi |
1,249,663 | 1,240,948 | 1,249,710 | 1,238,977 | 45,034 | 45,169 | 44,198 | 42,452 | 3.6 | 3.6 | 3.5 | 3.4 |
Gulfport-Biloxi-Pascagoula |
164,285 | 164,405 | 164,514 | 163,518 | 6,208 | 6,084 | 6,088 | 5,602 | 3.8 | 3.7 | 3.7 | 3.4 |
Hattiesburg |
69,489 | 68,615 | 69,167 | 67,792 | 2,187 | 2,191 | 2,139 | 2,032 | 3.1 | 3.2 | 3.1 | 3.0 |
Jackson |
259,457 | 255,082 | 259,386 | 254,735 | 8,475 | 8,454 | 8,287 | 7,667 | 3.3 | 3.3 | 3.2 | 3.0 |
Missouri |
3,067,104 | 3,065,562 | 3,067,289 | 3,072,892 | 99,570 | 72,615 | 104,116 | 70,944 | 3.2 | 2.4 | 3.4 | 2.3 |
Cape Girardeau |
48,027 | 47,560 | 48,142 | 47,740 | 1,402 | 1,104 | 1,432 | 1,049 | 2.9 | 2.3 | 3.0 | 2.2 |
Columbia |
100,553 | 101,060 | 100,630 | 100,708 | 2,400 | 1,866 | 2,352 | 1,727 | 2.4 | 1.8 | 2.3 | 1.7 |
Jefferson City |
73,678 | 73,824 | 74,077 | 74,144 | 1,837 | 1,448 | 1,887 | 1,399 | 2.5 | 2.0 | 2.5 | 1.9 |
Joplin |
84,917 | 85,079 | 84,954 | 85,561 | 2,407 | 1,908 | 2,466 | 1,833 | 2.8 | 2.2 | 2.9 | 2.1 |
Kansas City |
1,139,921 | 1,143,436 | 1,138,286 | 1,149,586 | 34,704 | 28,176 | 32,833 | 28,144 | 3.0 | 2.5 | 2.9 | 2.4 |
St. Joseph |
61,510 | 60,970 | 61,675 | 61,394 | 1,659 | 1,301 | 1,697 | 1,248 | 2.7 | 2.1 | 2.8 | 2.0 |
St. Louis(2) |
1,463,997 | 1,465,207 | 1,460,514 | 1,459,027 | 49,464 | 39,194 | 52,811 | 36,820 | 3.4 | 2.7 | 3.6 | 2.5 |
Springfield |
240,388 | 240,130 | 240,277 | 240,345 | 6,242 | 4,926 | 6,398 | 4,650 | 2.6 | 2.1 | 2.7 | 1.9 |
Montana |
555,830 | 565,835 | 552,309 | 566,515 | 14,202 | 12,383 | 14,290 | 13,479 | 2.6 | 2.2 | 2.6 | 2.4 |
Billings |
91,941 | 93,649 | 91,356 | 93,827 | 2,086 | 1,753 | 2,124 | 1,935 | 2.3 | 1.9 | 2.3 | 2.1 |
Great Falls |
38,391 | 38,880 | 38,163 | 38,984 | 923 | 916 | 917 | 919 | 2.4 | 2.4 | 2.4 | 2.4 |
Missoula |
65,858 | 67,084 | 65,872 | 67,545 | 1,683 | 1,402 | 1,746 | 1,638 | 2.6 | 2.1 | 2.7 | 2.4 |
Nebraska |
1,057,965 | 1,062,929 | 1,053,545 | 1,061,478 | 18,057 | 22,816 | 18,552 | 24,423 | 1.7 | 2.1 | 1.8 | 2.3 |
Grand Island |
45,025 | 44,555 | 44,909 | 44,711 | 797 | 958 | 863 | 1,088 | 1.8 | 2.2 | 1.9 | 2.4 |
Lincoln |
189,918 | 192,106 | 188,166 | 191,439 | 3,068 | 4,015 | 3,023 | 4,065 | 1.6 | 2.1 | 1.6 | 2.1 |
Omaha-Council Bluffs |
505,153 | 511,538 | 502,000 | 508,654 | 10,519 | 12,043 | 11,044 | 12,961 | 2.1 | 2.4 | 2.2 | 2.5 |
Nevada |
1,493,684 | 1,551,731 | 1,484,272 | 1,558,931 | 69,199 | 79,791 | 64,089 | 76,926 | 4.6 | 5.1 | 4.3 | 4.9 |
Carson City |
24,985 | 25,595 | 25,001 | 25,767 | 731 | 1,021 | 689 | 1,001 | 2.9 | 4.0 | 2.8 | 3.9 |
Las Vegas-Henderson-Paradise |
1,099,665 | 1,145,175 | 1,093,227 | 1,149,504 | 58,678 | 64,402 | 54,198 | 62,173 | 5.3 | 5.6 | 5.0 | 5.4 |
Reno |
251,386 | 259,434 | 249,159 | 261,626 | 6,428 | 9,139 | 6,001 | 8,779 | 2.6 | 3.5 | 2.4 | 3.4 |
New Hampshire |
755,514 | 769,710 | 755,049 | 775,940 | 19,303 | 19,389 | 17,920 | 19,142 | 2.6 | 2.5 | 2.4 | 2.5 |
Dover-Durham |
84,744 | 85,305 | 84,176 | 86,386 | 1,979 | 2,021 | 1,823 | 1,960 | 2.3 | 2.4 | 2.2 | 2.3 |
Manchester |
119,233 | 123,318 | 118,844 | 124,173 | 2,902 | 2,963 | 2,704 | 2,873 | 2.4 | 2.4 | 2.3 | 2.3 |
Portsmouth |
76,702 | 76,236 | 76,670 | 77,410 | 1,842 | 1,876 | 1,683 | 1,834 | 2.4 | 2.5 | 2.2 | 2.4 |
New Jersey |
4,641,588 | 4,732,244 | 4,650,220 | 4,731,550 | 211,312 | 141,588 | 198,059 | 147,077 | 4.6 | 3.0 | 4.3 | 3.1 |
Atlantic City-Hammonton |
123,443 | 127,939 | 124,181 | 128,025 | 8,166 | 5,252 | 8,000 | 5,776 | 6.6 | 4.1 | 6.4 | 4.5 |
Ocean City |
42,918 | 43,857 | 42,429 | 44,119 | 3,258 | 2,779 | 3,498 | 3,448 | 7.6 | 6.3 | 8.2 | 7.8 |
Trenton |
212,253 | 215,001 | 211,815 | 214,497 | 7,864 | 5,419 | 7,176 | 5,436 | 3.7 | 2.5 | 3.4 | 2.5 |
Vineland-Bridgeton |
67,438 | 68,514 | 67,454 | 68,643 | 3,858 | 2,923 | 3,915 | 3,381 | 5.7 | 4.3 | 5.8 | 4.9 |
New Mexico |
953,309 | 945,009 | 954,846 | 937,512 | 53,708 | 33,915 | 49,633 | 31,475 | 5.6 | 3.6 | 5.2 | 3.4 |
Albuquerque |
446,635 | 438,175 | 445,726 | 434,352 | 23,245 | 14,344 | 21,330 | 13,278 | 5.2 | 3.3 | 4.8 | 3.1 |
Farmington |
50,134 | 48,632 | 50,180 | 47,855 | 3,314 | 2,080 | 3,089 | 1,971 | 6.6 | 4.3 | 6.2 | 4.1 |
Las Cruces |
99,060 | 99,556 | 99,600 | 99,107 | 5,571 | 3,966 | 5,171 | 3,708 | 5.6 | 4.0 | 5.2 | 3.7 |
Santa Fe |
73,772 | 73,352 | 73,822 | 72,151 | 3,658 | 2,189 | 3,417 | 2,043 | 5.0 | 3.0 | 4.6 | 2.8 |
New York |
9,347,999 | 9,453,068 | 9,322,127 | 9,436,995 | 454,916 | 354,358 | 420,494 | 362,977 | 4.9 | 3.7 | 4.5 | 3.8 |
Albany-Schenectady-Troy |
445,124 | 452,715 | 442,846 | 450,115 | 12,981 | 11,042 | 11,516 | 11,357 | 2.9 | 2.4 | 2.6 | 2.5 |
Binghamton |
102,108 | 105,510 | 101,857 | 105,180 | 3,581 | 3,032 | 3,289 | 3,290 | 3.5 | 2.9 | 3.2 | 3.1 |
Buffalo-Cheektowaga-Niagara Falls |
526,620 | 537,186 | 523,582 | 537,869 | 20,331 | 16,577 | 18,179 | 17,402 | 3.9 | 3.1 | 3.5 | 3.2 |
Elmira |
34,127 | 34,553 | 34,008 | 34,516 | 1,251 | 1,073 | 1,114 | 1,119 | 3.7 | 3.1 | 3.3 | 3.2 |
Glens Falls |
57,050 | 57,352 | 57,040 | 57,377 | 1,940 | 1,635 | 1,803 | 1,828 | 3.4 | 2.9 | 3.2 | 3.2 |
Ithaca |
48,602 | 49,383 | 48,471 | 49,095 | 1,236 | 1,160 | 1,063 | 1,165 | 2.5 | 2.3 | 2.2 | 2.4 |
Kingston |
85,787 | 87,640 | 85,697 | 87,232 | 2,713 | 2,158 | 2,391 | 2,239 | 3.2 | 2.5 | 2.8 | 2.6 |
New York-Newark-Jersey City |
9,934,802 | 10,062,312 | 9,925,518 | 10,052,596 | 513,722 | 374,985 | 477,647 | 380,979 | 5.2 | 3.7 | 4.8 | 3.8 |
Rochester |
515,161 | 519,288 | 513,142 | 517,798 | 17,376 | 14,447 | 15,544 | 15,007 | 3.4 | 2.8 | 3.0 | 2.9 |
Syracuse |
302,068 | 309,413 | 302,308 | 307,461 | 10,228 | 8,669 | 9,278 | 9,211 | 3.4 | 2.8 | 3.1 | 3.0 |
Utica-Rome |
125,738 | 127,570 | 125,318 | 126,965 | 4,547 | 3,849 | 4,138 | 4,146 | 3.6 | 3.0 | 3.3 | 3.3 |
Watertown-Fort Drum |
43,668 | 43,803 | 43,228 | 43,720 | 1,573 | 1,524 | 1,516 | 1,712 | 3.6 | 3.5 | 3.5 | 3.9 |
North Carolina |
5,008,793 | 5,116,575 | 4,993,364 | 5,089,679 | 186,830 | 192,849 | 160,670 | 163,346 | 3.7 | 3.8 | 3.2 | 3.2 |
Asheville |
230,607 | 233,611 | 230,431 | 231,565 | 7,053 | 7,196 | 5,993 | 5,878 | 3.1 | 3.1 | 2.6 | 2.5 |
Burlington |
81,685 | 82,927 | 81,214 | 82,464 | 3,010 | 3,105 | 2,578 | 2,626 | 3.7 | 3.7 | 3.2 | 3.2 |
Charlotte-Concord-Gastonia |
1,373,276 | 1,417,600 | 1,377,149 | 1,414,791 | 49,661 | 49,152 | 44,226 | 43,330 | 3.6 | 3.5 | 3.2 | 3.1 |
Durham-Chapel Hill |
314,080 | 321,014 | 311,304 | 319,367 | 9,380 | 10,176 | 7,950 | 8,431 | 3.0 | 3.2 | 2.6 | 2.6 |
Fayetteville |
146,031 | 148,467 | 146,603 | 147,773 | 8,130 | 8,156 | 7,056 | 7,093 | 5.6 | 5.5 | 4.8 | 4.8 |
Goldsboro |
50,746 | 50,931 | 50,545 | 50,754 | 2,012 | 2,061 | 1,723 | 1,710 | 4.0 | 4.0 | 3.4 | 3.4 |
Greensboro-High Point |
360,889 | 366,131 | 360,317 | 364,357 | 15,260 | 15,179 | 13,203 | 13,053 | 4.2 | 4.1 | 3.7 | 3.6 |
Greenville |
88,541 | 88,593 | 88,266 | 87,708 | 3,471 | 3,648 | 3,013 | 3,082 | 3.9 | 4.1 | 3.4 | 3.5 |
Hickory-Lenoir-Morganton |
170,318 | 171,946 | 169,313 | 171,808 | 5,941 | 6,107 | 5,010 | 4,988 | 3.5 | 3.6 | 3.0 | 2.9 |
Jacksonville |
65,721 | 66,673 | 65,646 | 66,437 | 2,586 | 2,969 | 2,201 | 2,484 | 3.9 | 4.5 | 3.4 | 3.7 |
New Bern |
50,519 | 50,765 | 50,153 | 50,457 | 1,795 | 1,954 | 1,499 | 1,610 | 3.6 | 3.8 | 3.0 | 3.2 |
Raleigh |
738,936 | 766,797 | 737,649 | 764,883 | 22,888 | 24,427 | 19,557 | 20,323 | 3.1 | 3.2 | 2.7 | 2.7 |
Rocky Mount |
63,185 | 61,616 | 62,924 | 61,226 | 3,653 | 3,653 | 3,200 | 3,197 | 5.8 | 5.9 | 5.1 | 5.2 |
Wilmington |
154,354 | 157,797 | 154,267 | 157,407 | 4,966 | 5,381 | 4,216 | 4,632 | 3.2 | 3.4 | 2.7 | 2.9 |
Winston-Salem |
324,286 | 328,480 | 322,524 | 326,477 | 11,696 | 12,026 | 9,972 | 10,216 | 3.6 | 3.7 | 3.1 | 3.1 |
North Dakota |
405,661 | 402,725 | 402,487 | 403,004 | 10,549 | 7,469 | 11,937 | 8,940 | 2.6 | 1.9 | 3.0 | 2.2 |
Bismarck |
70,628 | 69,808 | 70,490 | 69,753 | 1,665 | 1,245 | 2,020 | 1,565 | 2.4 | 1.8 | 2.9 | 2.2 |
Fargo |
144,483 | 143,334 | 143,613 | 142,810 | 2,703 | 2,204 | 3,115 | 2,764 | 1.9 | 1.5 | 2.2 | 1.9 |
Grand Forks |
53,111 | 52,652 | 52,710 | 52,533 | 1,200 | 926 | 1,403 | 1,209 | 2.3 | 1.8 | 2.7 | 2.3 |
Ohio |
5,753,180 | 5,707,509 | 5,731,474 | 5,722,975 | 213,184 | 187,433 | 206,497 | 203,480 | 3.7 | 3.3 | 3.6 | 3.6 |
Akron |
349,211 | 342,883 | 348,419 | 345,635 | 13,007 | 10,984 | 12,725 | 13,361 | 3.7 | 3.2 | 3.7 | 3.9 |
Canton-Massillon |
193,708 | 191,843 | 194,448 | 193,080 | 7,204 | 6,211 | 7,100 | 7,444 | 3.7 | 3.2 | 3.7 | 3.9 |
Cincinnati |
1,125,821 | 1,113,439 | 1,123,242 | 1,116,215 | 36,606 | 32,897 | 34,367 | 34,107 | 3.3 | 3.0 | 3.1 | 3.1 |
Cleveland-Elyria |
1,022,507 | 1,021,510 | 1,011,298 | 1,015,001 | 45,151 | 43,292 | 46,329 | 35,260 | 4.4 | 4.2 | 4.6 | 3.5 |
Columbus |
1,127,024 | 1,111,860 | 1,121,138 | 1,118,600 | 35,565 | 30,372 | 33,049 | 34,354 | 3.2 | 2.7 | 2.9 | 3.1 |
Dayton |
386,207 | 380,662 | 385,590 | 385,319 | 13,945 | 11,936 | 13,015 | 13,486 | 3.6 | 3.1 | 3.4 | 3.5 |
Lima |
46,771 | 46,220 | 47,309 | 46,492 | 1,783 | 1,531 | 1,730 | 1,726 | 3.8 | 3.3 | 3.7 | 3.7 |
Mansfield |
51,289 | 51,190 | 51,717 | 52,047 | 2,116 | 1,835 | 2,119 | 2,280 | 4.1 | 3.6 | 4.1 | 4.4 |
Springfield |
62,297 | 61,619 | 62,169 | 62,150 | 2,262 | 1,926 | 2,152 | 2,287 | 3.6 | 3.1 | 3.5 | 3.7 |
Toledo |
296,200 | 301,197 | 297,985 | 301,586 | 11,976 | 10,064 | 11,132 | 11,745 | 4.0 | 3.3 | 3.7 | 3.9 |
Weirton-Steubenville(1) |
50,083 | 49,230 | 50,195 | 49,295 | 2,241 | 2,164 | 2,235 | 2,354 | 4.5 | 4.4 | 4.5 | 4.8 |
Youngstown-Warren-Boardman |
228,546 | 225,461 | 228,009 | 226,347 | 10,687 | 8,845 | 10,328 | 10,155 | 4.7 | 3.9 | 4.5 | 4.5 |
Oklahoma |
1,860,799 | 1,893,141 | 1,847,217 | 1,882,716 | 44,914 | 56,380 | 39,714 | 49,449 | 2.4 | 3.0 | 2.1 | 2.6 |
Enid |
26,674 | 26,749 | 26,560 | 26,669 | 586 | 746 | 510 | 662 | 2.2 | 2.8 | 1.9 | 2.5 |
Lawton |
50,122 | 50,607 | 49,561 | 50,192 | 1,354 | 1,778 | 1,211 | 1,584 | 2.7 | 3.5 | 2.4 | 3.2 |
Oklahoma City |
702,904 | 715,477 | 699,178 | 711,592 | 15,700 | 19,975 | 13,706 | 17,424 | 2.2 | 2.8 | 2.0 | 2.4 |
Tulsa |
482,102 | 495,658 | 479,679 | 491,520 | 12,237 | 15,006 | 10,902 | 13,062 | 2.5 | 3.0 | 2.3 | 2.7 |
Oregon |
2,170,411 | 2,185,247 | 2,162,903 | 2,176,198 | 79,012 | 93,558 | 77,422 | 98,007 | 3.6 | 4.3 | 3.6 | 4.5 |
Albany |
61,088 | 61,268 | 61,000 | 61,012 | 2,467 | 2,964 | 2,407 | 3,061 | 4.0 | 4.8 | 3.9 | 5.0 |
Bend-Redmond |
103,680 | 103,515 | 103,724 | 103,118 | 3,780 | 4,467 | 3,795 | 4,979 | 3.6 | 4.3 | 3.7 | 4.8 |
Corvallis |
48,671 | 49,072 | 48,492 | 48,825 | 1,250 | 1,599 | 1,217 | 1,750 | 2.6 | 3.3 | 2.5 | 3.6 |
Eugene |
184,001 | 184,519 | 182,517 | 183,357 | 7,104 | 8,857 | 6,888 | 8,984 | 3.9 | 4.8 | 3.8 | 4.9 |
Grants Pass |
37,042 | 37,228 | 36,951 | 37,109 | 1,703 | 2,242 | 1,711 | 2,413 | 4.6 | 6.0 | 4.6 | 6.5 |
Medford |
108,548 | 107,461 | 107,391 | 106,538 | 4,082 | 5,158 | 3,975 | 5,422 | 3.8 | 4.8 | 3.7 | 5.1 |
Portland-Vancouver-Hillsboro |
1,371,702 | 1,391,396 | 1,369,607 | 1,391,563 | 48,920 | 54,948 | 47,474 | 56,776 | 3.6 | 3.9 | 3.5 | 4.1 |
Salem |
210,902 | 210,249 | 210,043 | 208,341 | 7,428 | 9,067 | 7,310 | 9,425 | 3.5 | 4.3 | 3.5 | 4.5 |
Pennsylvania |
6,368,072 | 6,415,111 | 6,303,482 | 6,442,442 | 303,714 | 221,260 | 277,460 | 225,528 | 4.8 | 3.4 | 4.4 | 3.5 |
Allentown-Bethlehem-Easton |
451,042 | 456,130 | 447,351 | 458,516 | 21,474 | 15,263 | 19,064 | 15,229 | 4.8 | 3.3 | 4.3 | 3.3 |
Altoona |
58,586 | 59,190 | 58,229 | 59,737 | 2,581 | 1,947 | 2,481 | 2,118 | 4.4 | 3.3 | 4.3 | 3.5 |
Bloomsburg-Berwick |
42,252 | 42,133 | 41,736 | 42,088 | 1,733 | 1,449 | 1,688 | 1,506 | 4.1 | 3.4 | 4.0 | 3.6 |
Chambersburg-Waynesboro |
76,469 | 76,930 | 76,233 | 77,426 | 2,765 | 2,122 | 2,571 | 2,195 | 3.6 | 2.8 | 3.4 | 2.8 |
East Stroudsburg |
81,395 | 81,799 | 80,778 | 81,988 | 4,992 | 4,011 | 4,584 | 3,932 | 6.1 | 4.9 | 5.7 | 4.8 |
Erie |
125,021 | 126,346 | 123,703 | 126,612 | 6,866 | 5,080 | 6,559 | 5,279 | 5.5 | 4.0 | 5.3 | 4.2 |
Gettysburg |
54,516 | 55,131 | 54,041 | 55,608 | 1,682 | 1,245 | 1,577 | 1,293 | 3.1 | 2.3 | 2.9 | 2.3 |
Harrisburg-Carlisle |
302,153 | 308,489 | 297,676 | 310,160 | 11,937 | 8,510 | 10,744 | 8,586 | 4.0 | 2.8 | 3.6 | 2.8 |
Johnstown |
54,972 | 55,146 | 54,531 | 55,613 | 2,914 | 2,215 | 2,820 | 2,471 | 5.3 | 4.0 | 5.2 | 4.4 |
Lancaster |
282,685 | 283,758 | 280,206 | 285,439 | 10,198 | 7,078 | 9,234 | 7,253 | 3.6 | 2.5 | 3.3 | 2.5 |
Lebanon |
72,264 | 74,199 | 71,651 | 74,927 | 2,838 | 1,930 | 2,558 | 1,975 | 3.9 | 2.6 | 3.6 | 2.6 |
Philadelphia-Camden-Wilmington |
3,147,900 | 3,190,093 | 3,135,960 | 3,197,031 | 149,196 | 108,817 | 135,868 | 107,315 | 4.7 | 3.4 | 4.3 | 3.4 |
Pittsburgh |
1,166,113 | 1,174,342 | 1,147,805 | 1,177,164 | 55,395 | 41,191 | 51,096 | 43,009 | 4.8 | 3.5 | 4.5 | 3.7 |
Reading |
209,828 | 210,070 | 207,345 | 211,578 | 10,451 | 7,230 | 9,363 | 7,192 | 5.0 | 3.4 | 4.5 | 3.4 |
Scranton--Wilkes-Barre--Hazleton |
274,889 | 272,848 | 270,524 | 273,679 | 15,906 | 11,434 | 14,440 | 11,707 | 5.8 | 4.2 | 5.3 | 4.3 |
State College |
77,355 | 77,978 | 76,815 | 78,451 | 2,478 | 1,978 | 2,456 | 2,183 | 3.2 | 2.5 | 3.2 | 2.8 |
Williamsport |
54,391 | 54,412 | 53,907 | 54,425 | 2,793 | 2,010 | 2,681 | 2,174 | 5.1 | 3.7 | 5.0 | 4.0 |
York-Hanover |
233,948 | 236,691 | 231,328 | 237,868 | 9,214 | 6,623 | 8,231 | 6,681 | 3.9 | 2.8 | 3.6 | 2.8 |
Rhode Island |
574,747 | 574,176 | 570,621 | 567,047 | 23,046 | 19,666 | 19,635 | 13,112 | 4.0 | 3.4 | 3.4 | 2.3 |
Providence-Warwick |
710,362 | 705,887 | 706,157 | 698,803 | 29,457 | 24,068 | 26,312 | 18,521 | 4.1 | 3.4 | 3.7 | 2.7 |
South Carolina |
2,365,142 | 2,356,400 | 2,371,018 | 2,359,973 | 75,441 | 63,923 | 79,238 | 70,343 | 3.2 | 2.7 | 3.3 | 3.0 |
Charleston-North Charleston |
398,954 | 409,812 | 400,171 | 408,735 | 11,153 | 9,177 | 11,642 | 10,166 | 2.8 | 2.2 | 2.9 | 2.5 |
Columbia |
398,413 | 391,447 | 399,511 | 392,721 | 11,769 | 10,222 | 12,329 | 11,019 | 3.0 | 2.6 | 3.1 | 2.8 |
Florence |
95,457 | 91,980 | 95,645 | 93,278 | 3,171 | 2,644 | 3,305 | 2,824 | 3.3 | 2.9 | 3.5 | 3.0 |
Greenville-Anderson-Mauldin |
435,948 | 437,762 | 434,455 | 436,717 | 12,184 | 10,526 | 12,634 | 11,433 | 2.8 | 2.4 | 2.9 | 2.6 |
Hilton Head Island-Bluffton-Beaufort |
88,835 | 87,420 | 89,285 | 88,591 | 2,506 | 2,193 | 2,641 | 2,517 | 2.8 | 2.5 | 3.0 | 2.8 |
Myrtle Beach-Conway-North Myrtle Beach |
201,510 | 201,549 | 201,384 | 199,089 | 8,602 | 7,614 | 8,801 | 8,122 | 4.3 | 3.8 | 4.4 | 4.1 |
Spartanburg |
167,423 | 166,654 | 168,818 | 167,229 | 5,420 | 4,472 | 5,651 | 4,901 | 3.2 | 2.7 | 3.3 | 2.9 |
Sumter |
42,204 | 40,373 | 42,180 | 40,932 | 1,543 | 1,413 | 1,606 | 1,640 | 3.7 | 3.5 | 3.8 | 4.0 |
South Dakota |
471,563 | 476,708 | 467,498 | 474,089 | 12,003 | 9,547 | 12,862 | 10,558 | 2.5 | 2.0 | 2.8 | 2.2 |
Rapid City |
76,269 | 78,500 | 75,515 | 77,481 | 2,083 | 1,707 | 2,105 | 1,703 | 2.7 | 2.2 | 2.8 | 2.2 |
Sioux Falls |
160,790 | 164,187 | 159,168 | 162,847 | 3,517 | 2,808 | 3,776 | 3,197 | 2.2 | 1.7 | 2.4 | 2.0 |
Tennessee |
3,358,423 | 3,300,377 | 3,366,777 | 3,286,597 | 103,210 | 108,004 | 103,520 | 96,624 | 3.1 | 3.3 | 3.1 | 2.9 |
Chattanooga |
278,476 | 269,554 | 276,886 | 269,198 | 7,765 | 8,221 | 7,839 | 7,698 | 2.8 | 3.0 | 2.8 | 2.9 |
Clarksville |
120,079 | 117,258 | 120,311 | 117,511 | 4,256 | 4,571 | 4,516 | 4,200 | 3.5 | 3.9 | 3.8 | 3.6 |
Cleveland |
58,001 | 56,319 | 58,113 | 55,982 | 1,729 | 1,993 | 1,737 | 1,755 | 3.0 | 3.5 | 3.0 | 3.1 |
Jackson |
64,522 | 62,603 | 64,600 | 62,299 | 1,931 | 2,086 | 1,972 | 1,806 | 3.0 | 3.3 | 3.1 | 2.9 |
Johnson City |
93,416 | 91,485 | 93,609 | 90,721 | 2,640 | 3,087 | 2,745 | 2,756 | 2.8 | 3.4 | 2.9 | 3.0 |
Kingsport-Bristol-Bristol |
134,390 | 131,681 | 134,051 | 131,090 | 3,972 | 4,466 | 3,913 | 4,054 | 3.0 | 3.4 | 2.9 | 3.1 |
Knoxville |
439,692 | 437,994 | 439,504 | 436,643 | 11,041 | 12,944 | 11,353 | 11,455 | 2.5 | 3.0 | 2.6 | 2.6 |
Memphis |
642,129 | 631,993 | 646,075 | 629,481 | 27,430 | 25,813 | 27,082 | 23,245 | 4.3 | 4.1 | 4.2 | 3.7 |
Morristown |
53,038 | 52,196 | 53,320 | 52,196 | 1,609 | 1,751 | 1,655 | 1,586 | 3.0 | 3.4 | 3.1 | 3.0 |
Nashville-Davidson--Murfreesboro--Franklin |
1,116,333 | 1,114,034 | 1,124,910 | 1,111,047 | 28,790 | 29,322 | 28,178 | 25,847 | 2.6 | 2.6 | 2.5 | 2.3 |
Texas |
14,393,136 | 14,704,057 | 14,369,567 | 14,720,000 | 651,011 | 543,883 | 608,019 | 530,622 | 4.5 | 3.7 | 4.2 | 3.6 |
Abilene |
79,788 | 79,151 | 79,384 | 79,315 | 2,958 | 2,532 | 2,662 | 2,529 | 3.7 | 3.2 | 3.4 | 3.2 |
Amarillo |
134,449 | 134,288 | 134,091 | 134,268 | 4,231 | 3,737 | 3,838 | 3,446 | 3.1 | 2.8 | 2.9 | 2.6 |
Austin-Round Rock |
1,341,688 | 1,372,926 | 1,339,834 | 1,372,624 | 42,645 | 37,936 | 38,751 | 36,833 | 3.2 | 2.8 | 2.9 | 2.7 |
Beaumont-Port Arthur |
165,529 | 165,948 | 165,601 | 166,454 | 12,883 | 9,916 | 12,521 | 10,483 | 7.8 | 6.0 | 7.6 | 6.3 |
Brownsville-Harlingen |
174,021 | 174,900 | 175,175 | 176,374 | 11,645 | 9,887 | 11,518 | 10,098 | 6.7 | 5.7 | 6.6 | 5.7 |
College Station-Bryan |
140,401 | 142,123 | 138,941 | 140,832 | 4,686 | 4,348 | 4,305 | 3,962 | 3.3 | 3.1 | 3.1 | 2.8 |
Corpus Christi |
202,417 | 202,591 | 202,410 | 202,880 | 12,118 | 9,375 | 11,658 | 9,209 | 6.0 | 4.6 | 5.8 | 4.5 |
Dallas-Fort Worth-Arlington |
4,180,476 | 4,328,083 | 4,170,319 | 4,327,848 | 164,953 | 141,892 | 151,376 | 136,569 | 3.9 | 3.3 | 3.6 | 3.2 |
El Paso |
368,434 | 365,444 | 365,233 | 366,661 | 18,380 | 15,454 | 17,280 | 14,604 | 5.0 | 4.2 | 4.7 | 4.0 |
Houston-The Woodlands-Sugar Land |
3,457,881 | 3,549,739 | 3,460,832 | 3,565,905 | 176,962 | 142,903 | 166,817 | 140,487 | 5.1 | 4.0 | 4.8 | 3.9 |
Killeen-Temple |
182,514 | 183,217 | 181,913 | 183,372 | 8,722 | 7,557 | 7,985 | 7,247 | 4.8 | 4.1 | 4.4 | 4.0 |
Laredo |
117,630 | 118,583 | 117,470 | 118,859 | 5,831 | 4,544 | 5,515 | 4,368 | 5.0 | 3.8 | 4.7 | 3.7 |
Longview |
96,174 | 96,581 | 95,602 | 96,411 | 4,934 | 3,931 | 4,541 | 3,844 | 5.1 | 4.1 | 4.7 | 4.0 |
Lubbock |
166,865 | 168,898 | 166,318 | 168,652 | 5,927 | 5,253 | 5,457 | 4,821 | 3.6 | 3.1 | 3.3 | 2.9 |
McAllen-Edinburg-Mission |
367,158 | 374,406 | 368,989 | 376,182 | 28,250 | 23,872 | 28,767 | 25,553 | 7.7 | 6.4 | 7.8 | 6.8 |
Midland |
103,660 | 104,795 | 103,649 | 105,497 | 4,444 | 2,941 | 4,130 | 2,736 | 4.3 | 2.8 | 4.0 | 2.6 |
Odessa |
80,983 | 81,456 | 81,054 | 81,648 | 5,023 | 3,271 | 4,697 | 3,072 | 6.2 | 4.0 | 5.8 | 3.8 |
San Angelo |
54,778 | 54,776 | 54,610 | 54,936 | 2,162 | 1,753 | 1,968 | 1,666 | 3.9 | 3.2 | 3.6 | 3.0 |
San Antonio-New Braunfels |
1,221,074 | 1,250,789 | 1,217,217 | 1,244,094 | 50,542 | 42,969 | 45,993 | 40,799 | 4.1 | 3.4 | 3.8 | 3.3 |
Sherman-Denison |
66,202 | 67,792 | 66,158 | 68,002 | 2,518 | 2,250 | 2,289 | 2,199 | 3.8 | 3.3 | 3.5 | 3.2 |
Texarkana |
63,516 | 63,790 | 63,692 | 63,958 | 2,749 | 2,427 | 2,660 | 2,332 | 4.3 | 3.8 | 4.2 | 3.6 |
Tyler |
110,877 | 112,482 | 111,105 | 112,444 | 4,542 | 3,868 | 4,157 | 3,740 | 4.1 | 3.4 | 3.7 | 3.3 |
Victoria |
44,324 | 44,093 | 44,308 | 44,029 | 2,324 | 1,770 | 2,163 | 1,671 | 5.2 | 4.0 | 4.9 | 3.8 |
Waco |
130,608 | 131,999 | 130,347 | 132,121 | 5,091 | 4,398 | 4,621 | 4,255 | 3.9 | 3.3 | 3.5 | 3.2 |
Wichita Falls |
63,609 | 64,462 | 63,631 | 64,460 | 2,673 | 2,248 | 2,437 | 2,156 | 4.2 | 3.5 | 3.8 | 3.3 |
Utah |
1,707,720 | 1,767,210 | 1,701,096 | 1,774,925 | 33,035 | 35,972 | 31,229 | 35,995 | 1.9 | 2.0 | 1.8 | 2.0 |
Logan |
78,426 | 81,484 | 77,895 | 81,494 | 1,196 | 1,478 | 1,149 | 1,459 | 1.5 | 1.8 | 1.5 | 1.8 |
Ogden-Clearfield |
346,062 | 358,596 | 344,901 | 359,842 | 6,515 | 7,200 | 6,143 | 7,140 | 1.9 | 2.0 | 1.8 | 2.0 |
Provo-Orem |
348,538 | 363,183 | 345,721 | 363,397 | 5,812 | 6,965 | 5,457 | 6,800 | 1.7 | 1.9 | 1.6 | 1.9 |
St. George |
85,297 | 89,017 | 84,533 | 88,997 | 1,796 | 1,926 | 1,721 | 2,004 | 2.1 | 2.2 | 2.0 | 2.3 |
Salt Lake City |
700,690 | 718,423 | 699,196 | 722,471 | 13,864 | 14,570 | 12,887 | 14,573 | 2.0 | 2.0 | 1.8 | 2.0 |
Vermont |
329,546 | 337,945 | 328,117 | 340,092 | 8,361 | 8,089 | 8,341 | 9,099 | 2.5 | 2.4 | 2.5 | 2.7 |
Burlington-South Burlington |
122,781 | 127,250 | 121,256 | 126,785 | 2,592 | 2,514 | 2,477 | 2,677 | 2.1 | 2.0 | 2.0 | 2.1 |
Virginia |
4,268,312 | 4,340,872 | 4,272,370 | 4,362,123 | 120,348 | 128,369 | 117,116 | 114,098 | 2.8 | 3.0 | 2.7 | 2.6 |
Blacksburg-Christiansburg-Radford |
93,079 | 94,585 | 92,382 | 94,226 | 2,110 | 2,660 | 1,954 | 2,320 | 2.3 | 2.8 | 2.1 | 2.5 |
Charlottesville |
117,993 | 119,530 | 118,034 | 119,879 | 2,880 | 3,292 | 2,684 | 2,898 | 2.4 | 2.8 | 2.3 | 2.4 |
Harrisonburg |
66,263 | 66,969 | 66,329 | 67,081 | 1,527 | 1,899 | 1,526 | 1,619 | 2.3 | 2.8 | 2.3 | 2.4 |
Lynchburg |
118,177 | 119,715 | 117,977 | 120,525 | 3,484 | 3,950 | 3,311 | 3,521 | 2.9 | 3.3 | 2.8 | 2.9 |
Richmond |
660,452 | 666,893 | 664,206 | 670,336 | 20,650 | 21,585 | 21,168 | 19,386 | 3.1 | 3.2 | 3.2 | 2.9 |
Roanoke |
152,080 | 152,833 | 152,506 | 154,654 | 4,126 | 4,510 | 3,890 | 4,013 | 2.7 | 3.0 | 2.6 | 2.6 |
Staunton-Waynesboro |
58,771 | 59,834 | 58,949 | 59,754 | 1,394 | 1,584 | 1,442 | 1,402 | 2.4 | 2.6 | 2.4 | 2.3 |
Virginia Beach-Norfolk-Newport News |
818,958 | 835,143 | 821,309 | 840,432 | 27,782 | 28,226 | 26,300 | 25,090 | 3.4 | 3.4 | 3.2 | 3.0 |
Winchester |
75,023 | 76,038 | 75,524 | 76,523 | 1,629 | 1,937 | 1,928 | 1,739 | 2.2 | 2.5 | 2.6 | 2.3 |
Washington |
3,966,632 | 3,987,698 | 3,968,555 | 3,997,079 | 154,714 | 166,228 | 157,023 | 176,328 | 3.9 | 4.2 | 4.0 | 4.4 |
Bellingham |
116,925 | 117,288 | 116,826 | 117,580 | 5,211 | 5,574 | 5,146 | 5,822 | 4.5 | 4.8 | 4.4 | 5.0 |
Bremerton-Silverdale |
131,549 | 130,609 | 132,451 | 131,380 | 4,880 | 5,621 | 4,780 | 5,690 | 3.7 | 4.3 | 3.6 | 4.3 |
Kennewick-Richland |
149,661 | 151,917 | 148,281 | 151,542 | 7,042 | 7,815 | 7,380 | 9,464 | 4.7 | 5.1 | 5.0 | 6.2 |
Longview |
49,282 | 49,602 | 49,359 | 49,742 | 2,476 | 2,817 | 2,408 | 2,887 | 5.0 | 5.7 | 4.9 | 5.8 |
Mount Vernon-Anacortes |
63,402 | 62,516 | 63,210 | 62,554 | 3,165 | 3,274 | 3,030 | 3,426 | 5.0 | 5.2 | 4.8 | 5.5 |
Olympia-Tumwater |
149,423 | 147,733 | 149,394 | 148,020 | 5,864 | 6,827 | 5,749 | 6,944 | 3.9 | 4.6 | 3.8 | 4.7 |
Seattle-Tacoma-Bellevue |
2,182,363 | 2,203,301 | 2,193,880 | 2,213,681 | 74,987 | 75,613 | 75,787 | 75,268 | 3.4 | 3.4 | 3.5 | 3.4 |
Spokane-Spokane Valley |
293,196 | 293,414 | 292,999 | 293,502 | 11,708 | 14,128 | 12,469 | 16,004 | 4.0 | 4.8 | 4.3 | 5.5 |
Walla Walla |
34,589 | 33,923 | 33,301 | 32,876 | 1,173 | 1,359 | 1,296 | 1,627 | 3.4 | 4.0 | 3.9 | 4.9 |
Wenatchee |
65,497 | 65,275 | 64,934 | 64,832 | 2,886 | 3,209 | 2,883 | 3,945 | 4.4 | 4.9 | 4.4 | 6.1 |
Yakima |
128,870 | 128,562 | 126,455 | 128,425 | 7,820 | 8,581 | 8,211 | 11,293 | 6.1 | 6.7 | 6.5 | 8.8 |
West Virginia |
790,853 | 788,902 | 789,702 | 782,655 | 26,878 | 27,895 | 27,923 | 26,438 | 3.4 | 3.5 | 3.5 | 3.4 |
Beckley |
45,712 | 46,541 | 45,845 | 46,010 | 1,730 | 1,719 | 1,762 | 1,608 | 3.8 | 3.7 | 3.8 | 3.5 |
Charleston |
90,521 | 90,193 | 90,963 | 89,388 | 3,206 | 3,160 | 3,264 | 2,944 | 3.5 | 3.5 | 3.6 | 3.3 |
Huntington-Ashland |
144,723 | 142,569 | 145,105 | 142,605 | 5,364 | 5,385 | 5,564 | 5,469 | 3.7 | 3.8 | 3.8 | 3.8 |
Morgantown |
72,969 | 73,673 | 72,562 | 73,258 | 2,144 | 2,158 | 2,217 | 2,029 | 2.9 | 2.9 | 3.1 | 2.8 |
Parkersburg-Vienna |
38,710 | 39,176 | 38,718 | 38,887 | 1,415 | 1,507 | 1,502 | 1,437 | 3.7 | 3.8 | 3.9 | 3.7 |
Wheeling |
61,432 | 61,123 | 61,911 | 61,251 | 2,424 | 2,379 | 2,563 | 2,577 | 3.9 | 3.9 | 4.1 | 4.2 |
Wisconsin |
3,142,112 | 3,060,109 | 3,124,753 | 3,050,770 | 76,582 | 79,677 | 72,279 | 69,828 | 2.4 | 2.6 | 2.3 | 2.3 |
Appleton |
133,507 | 131,436 | 132,969 | 131,144 | 2,616 | 2,820 | 2,455 | 2,452 | 2.0 | 2.1 | 1.8 | 1.9 |
Eau Claire |
94,335 | 92,602 | 93,865 | 91,465 | 2,008 | 2,215 | 2,067 | 2,296 | 2.1 | 2.4 | 2.2 | 2.5 |
Fond du Lac |
57,758 | 56,208 | 57,496 | 56,100 | 1,154 | 1,231 | 1,049 | 1,032 | 2.0 | 2.2 | 1.8 | 1.8 |
Green Bay |
175,498 | 171,740 | 173,797 | 170,959 | 3,856 | 4,038 | 3,626 | 3,551 | 2.2 | 2.4 | 2.1 | 2.1 |
Janesville-Beloit |
86,940 | 85,029 | 86,604 | 84,587 | 2,528 | 2,602 | 2,398 | 2,193 | 2.9 | 3.1 | 2.8 | 2.6 |
La Crosse-Onalaska |
78,596 | 76,658 | 78,288 | 76,633 | 1,505 | 1,602 | 1,443 | 1,528 | 1.9 | 2.1 | 1.8 | 2.0 |
Madison |
401,831 | 397,523 | 400,355 | 395,887 | 7,579 | 7,965 | 6,637 | 6,457 | 1.9 | 2.0 | 1.7 | 1.6 |
Milwaukee-Waukesha-West Allis |
824,758 | 800,422 | 817,582 | 799,375 | 23,977 | 23,850 | 21,386 | 18,938 | 2.9 | 3.0 | 2.6 | 2.4 |
Oshkosh-Neenah |
93,763 | 92,114 | 93,142 | 91,676 | 1,954 | 2,104 | 1,767 | 1,767 | 2.1 | 2.3 | 1.9 | 1.9 |
Racine |
98,856 | 95,504 | 98,234 | 95,330 | 3,027 | 2,959 | 2,809 | 2,494 | 3.1 | 3.1 | 2.9 | 2.6 |
Sheboygan |
62,648 | 61,336 | 62,380 | 61,092 | 1,267 | 1,368 | 1,121 | 1,089 | 2.0 | 2.2 | 1.8 | 1.8 |
Wausau |
74,665 | 72,680 | 74,452 | 72,379 | 1,439 | 1,550 | 1,337 | 1,371 | 1.9 | 2.1 | 1.8 | 1.9 |
Wyoming |
290,796 | 290,792 | 288,271 | 290,931 | 10,106 | 9,085 | 9,331 | 9,910 | 3.5 | 3.1 | 3.2 | 3.4 |
Casper |
39,853 | 39,291 | 39,111 | 38,841 | 1,756 | 1,395 | 1,651 | 1,507 | 4.4 | 3.6 | 4.2 | 3.9 |
Cheyenne |
50,620 | 50,724 | 50,117 | 50,572 | 1,523 | 1,471 | 1,446 | 1,667 | 3.0 | 2.9 | 2.9 | 3.3 |
Puerto Rico |
1,216,239 | 1,215,771 | 1,239,889 | 1,233,170 | 88,302 | 75,758 | 82,480 | 73,493 | 7.3 | 6.2 | 6.7 | 6.0 |
Aguadilla-Isabela |
97,010 | 97,191 | 97,999 | 97,847 | 8,642 | 8,536 | 8,214 | 8,245 | 8.9 | 8.8 | 8.4 | 8.4 |
Arecibo |
59,289 | 59,192 | 59,933 | 59,575 | 4,548 | 4,594 | 4,247 | 4,489 | 7.7 | 7.8 | 7.1 | 7.5 |
Guayama |
21,782 | 21,784 | 22,228 | 22,367 | 1,732 | 1,697 | 1,654 | 1,689 | 8.0 | 7.8 | 7.4 | 7.6 |
Mayaguez |
30,700 | 30,390 | 31,189 | 30,625 | 2,563 | 2,124 | 2,398 | 2,062 | 8.3 | 7.0 | 7.7 | 6.7 |
Ponce |
102,999 | 102,900 | 104,563 | 105,013 | 9,365 | 8,798 | 8,895 | 8,572 | 9.1 | 8.6 | 8.5 | 8.2 |
San German |
39,146 | 38,831 | 39,764 | 39,114 | 3,556 | 3,093 | 3,309 | 2,919 | 9.1 | 8.0 | 8.3 | 7.5 |
San Juan-Carolina-Caguas |
817,822 | 819,029 | 836,354 | 831,412 | 53,286 | 42,801 | 49,395 | 41,535 | 6.5 | 5.2 | 5.9 | 5.0 |
Footnotes |
||||||||||||
NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for the latest month are subject to revision the following month. |
State, area, and division | Civilian labor force | Unemployed | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
November | December | Number | Percent of labor force | |||||||||
2021 | 2022 | 2021 | 2022(p) | November | December | November | December | |||||
2021 | 2022 | 2021 | 2022(p) | 2021 | 2022 | 2021 | 2022(p) | |||||
California |
19,129,013 | 19,221,458 | 19,041,028 | 19,220,972 | 988,408 | 777,043 | 913,303 | 716,249 | 5.2 | 4.0 | 4.8 | 3.7 |
Los Angeles-Long Beach-Anaheim |
6,599,627 | 6,546,857 | 6,554,504 | 6,532,533 | 374,738 | 268,983 | 336,937 | 256,187 | 5.7 | 4.1 | 5.1 | 3.9 |
Anaheim-Santa Ana-Irvine |
1,572,253 | 1,598,060 | 1,574,275 | 1,604,854 | 64,338 | 47,308 | 58,089 | 40,672 | 4.1 | 3.0 | 3.7 | 2.5 |
Los Angeles-Long Beach-Glendale |
5,027,374 | 4,948,797 | 4,980,229 | 4,927,679 | 310,400 | 221,675 | 278,848 | 215,515 | 6.2 | 4.5 | 5.6 | 4.4 |
San Francisco-Oakland-Hayward |
2,499,693 | 2,536,239 | 2,504,292 | 2,550,566 | 95,376 | 71,242 | 86,115 | 62,014 | 3.8 | 2.8 | 3.4 | 2.4 |
Oakland-Hayward-Berkeley |
1,367,322 | 1,379,240 | 1,371,024 | 1,385,793 | 59,298 | 44,884 | 53,699 | 38,961 | 4.3 | 3.3 | 3.9 | 2.8 |
San Francisco-Redwood City-South San Francisco |
1,001,335 | 1,028,552 | 1,003,772 | 1,035,986 | 32,141 | 23,188 | 28,900 | 20,284 | 3.2 | 2.3 | 2.9 | 2.0 |
San Rafael |
131,036 | 128,447 | 129,496 | 128,787 | 3,937 | 3,170 | 3,516 | 2,769 | 3.0 | 2.5 | 2.7 | 2.2 |
District of Columbia |
387,907 | 370,433 | 383,122 | 370,762 | 22,142 | 16,525 | 19,706 | 16,843 | 5.7 | 4.5 | 5.1 | 4.5 |
Washington-Arlington-Alexandria(2) |
3,375,610 | 3,352,757 | 3,360,187 | 3,364,619 | 132,971 | 104,813 | 122,133 | 95,408 | 3.9 | 3.1 | 3.6 | 2.8 |
Silver Spring-Frederick-Rockville(3) |
686,615 | 680,815 | 683,847 | 683,545 | 31,324 | 20,883 | 28,437 | 18,898 | 4.6 | 3.1 | 4.2 | 2.8 |
Washington-Arlington-Alexandria(2) |
2,688,995 | 2,671,942 | 2,676,340 | 2,681,074 | 101,647 | 83,930 | 93,696 | 76,510 | 3.8 | 3.1 | 3.5 | 2.9 |
Florida |
10,443,334 | 10,770,171 | 10,452,212 | 10,775,173 | 339,321 | 276,246 | 301,198 | 236,770 | 3.2 | 2.6 | 2.9 | 2.2 |
Miami-Fort Lauderdale-West Palm Beach |
3,104,480 | 3,165,450 | 3,106,486 | 3,178,898 | 102,678 | 66,978 | 91,401 | 59,312 | 3.3 | 2.1 | 2.9 | 1.9 |
Fort Lauderdale-Pompano Beach-Deerfield Beach |
1,040,443 | 1,072,635 | 1,037,371 | 1,066,747 | 36,158 | 27,328 | 31,787 | 23,192 | 3.5 | 2.5 | 3.1 | 2.2 |
Miami-Miami Beach-Kendall |
1,320,592 | 1,322,139 | 1,320,238 | 1,343,886 | 43,283 | 19,784 | 39,190 | 19,459 | 3.3 | 1.5 | 3.0 | 1.4 |
West Palm Beach-Boca Raton-Delray Beach |
743,445 | 770,676 | 748,877 | 768,265 | 23,237 | 19,866 | 20,424 | 16,661 | 3.1 | 2.6 | 2.7 | 2.2 |
Illinois |
6,386,585 | 6,416,518 | 6,371,891 | 6,382,192 | 275,705 | 282,241 | 270,793 | 267,397 | 4.3 | 4.4 | 4.2 | 4.2 |
Chicago-Naperville-Elgin(2) |
4,862,288 | 4,912,746 | 4,872,792 | 4,892,205 | 208,265 | 216,385 | 199,410 | 206,914 | 4.3 | 4.4 | 4.1 | 4.2 |
Chicago-Naperville-Arlington Heights |
3,758,599 | 3,801,035 | 3,779,864 | 3,777,215 | 167,523 | 171,952 | 159,362 | 162,718 | 4.5 | 4.5 | 4.2 | 4.3 |
Elgin |
317,540 | 318,125 | 314,236 | 316,541 | 13,450 | 13,486 | 14,423 | 13,575 | 4.2 | 4.2 | 4.6 | 4.3 |
Gary(3) |
326,246 | 334,870 | 322,349 | 335,297 | 10,644 | 13,711 | 7,798 | 13,176 | 3.3 | 4.1 | 2.4 | 3.9 |
Lake County-Kenosha County(2) |
459,903 | 458,716 | 456,343 | 463,152 | 16,648 | 17,236 | 17,827 | 17,445 | 3.6 | 3.8 | 3.9 | 3.8 |
Massachusetts |
3,770,869 | 3,716,814 | 3,763,429 | 3,712,433 | 159,898 | 107,741 | 155,428 | 119,667 | 4.2 | 2.9 | 4.1 | 3.2 |
Boston-Cambridge-Nashua(2) |
2,800,552 | 2,788,174 | 2,795,481 | 2,788,246 | 108,377 | 73,890 | 102,801 | 80,002 | 3.9 | 2.7 | 3.7 | 2.9 |
Boston-Cambridge-Newton |
1,676,821 | 1,669,273 | 1,673,210 | 1,666,434 | 62,846 | 41,201 | 58,764 | 44,429 | 3.7 | 2.5 | 3.5 | 2.7 |
Brockton-Bridgewater-Easton |
110,288 | 108,884 | 109,920 | 108,868 | 5,596 | 3,765 | 5,552 | 4,155 | 5.1 | 3.5 | 5.1 | 3.8 |
Framingham |
157,952 | 155,972 | 158,010 | 156,433 | 5,249 | 3,474 | 4,959 | 3,997 | 3.3 | 2.2 | 3.1 | 2.6 |
Haverhill-Newburyport-Amesbury Town(2) |
117,348 | 116,693 | 116,939 | 116,760 | 4,222 | 3,173 | 4,054 | 3,453 | 3.6 | 2.7 | 3.5 | 3.0 |
Lawrence-Methuen Town-Salem(2) |
100,359 | 99,235 | 100,106 | 99,637 | 6,015 | 4,214 | 5,887 | 4,527 | 6.0 | 4.2 | 5.9 | 4.5 |
Lowell-Billerica-Chelmsford(2) |
197,320 | 197,589 | 197,320 | 197,936 | 7,678 | 5,427 | 7,457 | 5,981 | 3.9 | 2.7 | 3.8 | 3.0 |
Lynn-Saugus-Marblehead |
86,227 | 84,119 | 85,964 | 84,203 | 4,441 | 2,791 | 4,283 | 3,061 | 5.2 | 3.3 | 5.0 | 3.6 |
Nashua(2) |
175,520 | 181,257 | 175,833 | 182,824 | 4,683 | 4,621 | 4,397 | 4,680 | 2.7 | 2.5 | 2.5 | 2.6 |
Peabody-Salem-Beverly |
92,347 | 90,610 | 92,027 | 90,681 | 3,778 | 2,516 | 3,577 | 2,713 | 4.1 | 2.8 | 3.9 | 3.0 |
Taunton-Middleborough-Norton |
86,370 | 84,542 | 86,152 | 84,470 | 3,869 | 2,708 | 3,871 | 3,006 | 4.5 | 3.2 | 4.5 | 3.6 |
Michigan |
4,798,984 | 4,848,178 | 4,787,712 | 4,844,991 | 190,863 | 169,173 | 199,169 | 186,123 | 4.0 | 3.5 | 4.2 | 3.8 |
Detroit-Warren-Dearborn |
2,135,252 | 2,106,174 | 2,134,360 | 2,118,919 | 90,378 | 62,013 | 89,737 | 69,913 | 4.2 | 2.9 | 4.2 | 3.3 |
Detroit-Dearborn-Livonia |
804,285 | 786,102 | 806,245 | 793,324 | 43,769 | 28,710 | 42,494 | 31,951 | 5.4 | 3.7 | 5.3 | 4.0 |
Warren-Troy-Farmington Hills |
1,330,967 | 1,320,072 | 1,328,114 | 1,325,595 | 46,609 | 33,303 | 47,242 | 37,962 | 3.5 | 2.5 | 3.6 | 2.9 |
New York |
9,347,999 | 9,453,068 | 9,322,127 | 9,436,995 | 454,916 | 354,358 | 420,494 | 362,977 | 4.9 | 3.7 | 4.5 | 3.8 |
New York-Newark-Jersey City(2) |
9,934,802 | 10,062,312 | 9,925,518 | 10,052,596 | 513,722 | 374,985 | 477,647 | 380,979 | 5.2 | 3.7 | 4.8 | 3.8 |
Dutchess County-Putnam County |
190,941 | 194,246 | 190,971 | 192,624 | 5,778 | 4,778 | 5,006 | 4,764 | 3.0 | 2.5 | 2.6 | 2.5 |
Nassau County-Suffolk County |
1,485,041 | 1,520,595 | 1,481,343 | 1,513,083 | 45,442 | 37,146 | 39,544 | 37,005 | 3.1 | 2.4 | 2.7 | 2.4 |
Newark(3) |
1,272,302 | 1,288,975 | 1,274,592 | 1,289,296 | 58,342 | 39,246 | 54,325 | 40,716 | 4.6 | 3.0 | 4.3 | 3.2 |
New York-Jersey City-White Plains(2) |
6,986,518 | 7,058,496 | 6,978,612 | 7,057,593 | 404,160 | 293,815 | 378,772 | 298,494 | 5.8 | 4.2 | 5.4 | 4.2 |
Pennsylvania |
6,368,072 | 6,415,111 | 6,303,482 | 6,442,442 | 303,714 | 221,260 | 277,460 | 225,528 | 4.8 | 3.4 | 4.4 | 3.5 |
Philadelphia-Camden-Wilmington(2) |
3,147,900 | 3,190,093 | 3,135,960 | 3,197,031 | 149,196 | 108,817 | 135,868 | 107,315 | 4.7 | 3.4 | 4.3 | 3.4 |
Camden(3) |
667,934 | 687,748 | 669,571 | 686,869 | 29,134 | 20,226 | 27,349 | 21,212 | 4.4 | 2.9 | 4.1 | 3.1 |
Montgomery County-Bucks County-Chester County |
1,078,553 | 1,093,898 | 1,073,246 | 1,101,700 | 38,873 | 28,859 | 34,994 | 29,155 | 3.6 | 2.6 | 3.3 | 2.6 |
Philadelphia |
1,013,470 | 1,022,199 | 1,004,235 | 1,021,788 | 64,843 | 44,910 | 57,376 | 42,495 | 6.4 | 4.4 | 5.7 | 4.2 |
Wilmington(3) |
387,943 | 386,248 | 388,908 | 386,674 | 16,346 | 14,822 | 16,149 | 14,453 | 4.2 | 3.8 | 4.2 | 3.7 |
Texas |
14,393,136 | 14,704,057 | 14,369,567 | 14,720,000 | 651,011 | 543,883 | 608,019 | 530,622 | 4.5 | 3.7 | 4.2 | 3.6 |
Dallas-Fort Worth-Arlington |
4,180,476 | 4,328,083 | 4,170,319 | 4,327,848 | 164,953 | 141,892 | 151,376 | 136,569 | 3.9 | 3.3 | 3.6 | 3.2 |
Dallas-Plano-Irving |
2,833,097 | 2,946,984 | 2,825,024 | 2,943,498 | 110,555 | 95,607 | 101,404 | 92,297 | 3.9 | 3.2 | 3.6 | 3.1 |
Fort Worth-Arlington |
1,347,379 | 1,381,099 | 1,345,295 | 1,384,350 | 54,398 | 46,285 | 49,972 | 44,272 | 4.0 | 3.4 | 3.7 | 3.2 |
Washington |
3,966,632 | 3,987,698 | 3,968,555 | 3,997,079 | 154,714 | 166,228 | 157,023 | 176,328 | 3.9 | 4.2 | 4.0 | 4.4 |
Seattle-Tacoma-Bellevue |
2,182,363 | 2,203,301 | 2,193,880 | 2,213,681 | 74,987 | 75,613 | 75,787 | 75,268 | 3.4 | 3.4 | 3.5 | 3.4 |
Seattle-Bellevue-Everett |
1,725,035 | 1,748,623 | 1,736,759 | 1,756,133 | 53,565 | 52,209 | 55,108 | 51,096 | 3.1 | 3.0 | 3.2 | 2.9 |
Tacoma-Lakewood |
457,328 | 454,678 | 457,121 | 457,548 | 21,422 | 23,404 | 20,679 | 24,172 | 4.7 | 5.1 | 4.5 | 5.3 |
Footnotes |
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NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month. |
State and area | November | December | December 2021 to December 2022(p) | |||
---|---|---|---|---|---|---|
2021 | 2022 | 2021 | 2022(p) | Level change | Percent change | |
Alabama |
2,068.5 | 2,120.2 | 2,064.6 | 2,120.5 | 55.9 | 2.7 |
Anniston-Oxford-Jacksonville |
46.6 | 47.6 | 46.3 | 48.0 | 1.7 | 3.7 |
Auburn-Opelika |
68.0 | 69.6 | 67.8 | 69.6 | 1.8 | 2.7 |
Birmingham-Hoover |
547.6 | 559.3 | 546.1 | 562.7 | 16.6 | 3.0 |
Daphne-Fairhope-Foley |
80.9 | 81.8 | 81.2 | 82.0 | 0.8 | 1.0 |
Decatur |
57.5 | 58.6 | 57.5 | 59.1 | 1.6 | 2.8 |
Dothan |
60.1 | 61.6 | 60.6 | 61.7 | 1.1 | 1.8 |
Florence-Muscle Shoals |
57.0 | 57.8 | 56.3 | 58.0 | 1.7 | 3.0 |
Gadsden |
33.9 | 34.5 | 33.9 | 34.5 | 0.6 | 1.8 |
Huntsville |
254.7 | 261.5 | 254.5 | 261.9 | 7.4 | 2.9 |
Mobile |
187.8 | 188.8 | 187.1 | 188.7 | 1.6 | 0.9 |
Montgomery |
176.1 | 181.1 | 176.1 | 180.3 | 4.2 | 2.4 |
Tuscaloosa |
108.3 | 110.5 | 107.7 | 110.3 | 2.6 | 2.4 |
Alaska |
303.2 | 312.9 | 301.6 | 311.5 | 9.9 | 3.3 |
Anchorage |
168.7 |