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For release 10:00 a.m. (ET) Wednesday, September 2, 2020 USDL-20-1648 Technical information: Employment: sminfo@bls.gov * www.bls.gov/sae Unemployment: lausinfo@bls.gov * www.bls.gov/lau Media contact: (202) 691-5902 * PressOffice@bls.gov (NOTE: On September 11, 2020, BLS corrected errors in estimates for not seasonally adjusted all employees in state government educational services, state government, government, service-providing, and total nonfarm for California and many of its metropolitan areas. Seasonally adjusted estimates for all employees and 3-month average change were corrected at aggregate levels. Tables 3 and 4 in this news release were corrected. In addition, estimates in the LABSTAT database for April, May, June, and July 2020 were corrected. BLS also corrected other supplemental materials as listed at www.bls.gov/bls/errata/sae_errata.htm.) METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT -- JULY 2020 Unemployment rates were higher in July than a year earlier in all 389 metropolitan areas, the U.S. Bureau of Labor Statistics reported today. A total of seven areas had jobless rates of less than 5.0 percent and four areas had rates of at least 20.0 percent. Nonfarm payroll employment decreased over the year in 272 metropolitan areas, increased in 1 area, and was essentially unchanged in 116 areas. The national unemployment rate in July was 10.5 percent, not seasonally adjusted, up from 4.0 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) El Centro, CA, had the highest unemployment rate in July, 26.8 percent, followed by Yuma, AZ, 24.8 percent, and Atlantic City-Hammonton, NJ, 24.0 percent. Logan, UT-ID, and Idaho Falls, ID, had the lowest unemployment rates, 2.7 percent and 3.1 percent, respectively. A total of 268 areas had July jobless rates below the U.S. rate of 10.5 percent, 116 areas had rates above it, and 5 areas had rates equal to that of the nation. (See table 1.) The largest over-the-year unemployment rate increases in July occurred in Atlantic City- Hammonton, NJ (+19.0 percentage points), and Kahului-Wailuku-Lahaina, HI (+18.7 points). Rates rose over the year by at least 10.0 percentage points in an additional 15 areas. The smallest jobless rate increase from a year earlier occurred in Logan, UT-ID (+0.3 percentage point). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Los Angeles-Long Beach-Anaheim, CA, had the highest unemployment rate in July, 16.8 percent, followed by Las Vegas-Henderson-Paradise, NV, and New York-Newark-Jersey City, NY-NJ-PA, 16.4 percent each. Salt Lake City, UT, had the lowest jobless rate among the large areas, 5.3 percent. All 51 large areas had over-the-year unemployment rate increases, the largest of which were in Boston-Cambridge-Nashua, MA-NH (+12.6 percentage points), New York-Newark- Jersey City, NY-NJ-PA (+12.4 points), and Los Angeles-Long Beach-Anaheim, CA (+12.3 points). The smallest rate increase occurred in Louisville/Jefferson County, KY-IN (+2.0 percentage points). 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 July, Lawrence-Methuen Town-Salem, MA-NH, had the highest unemployment rate among the divisions, 21.4 percent. Silver Spring-Frederick-Rockville, MD, had the lowest division rate, 7.3 percent. (See table 2.) In July, all 38 metropolitan divisions had over-the-year unemployment rate increases, the largest of which was in Lawrence-Methuen Town-Salem, MA-NH (+17.3 percentage points). The smallest rate increase occurred in Dallas-Plano-Irving, TX (+3.8 percentage points). Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) In July, 272 metropolitan areas had over-the-year decreases in nonfarm payroll employment, 1 had an increase, and 116 were essentially unchanged. The largest over-the-year employment decreases occurred in New York-Newark-Jersey City, NY-NJ-PA (-1,354,700), Los Angeles-Long Beach-Anaheim, CA (-625,100), and Chicago-Naperville-Elgin, IL-IN-WI (-396,000). The largest over-the-year percentage losses in employment occurred in Ocean City, NJ (-29.7 percent), Kahului-Wailuku-Lahaina, HI (-27.6 percent), and Atlantic City-Hammonton, NJ, and Barnstable Town, MA (-19.9 percent each). Employment increased in Idaho Falls, ID (+4,000, or +5.6 percent). (See table 3.) Over the year, nonfarm employment declined in all of the 51 metropolitan areas with a 2010 Census population of 1 million or more. The largest over-the-year percentage decreases in employment in these large metropolitan areas occurred in New York-Newark-Jersey City, NY-NJ-PA (-13.6 percent), Rochester, NY (-13.0 percent), and Las Vegas-Henderson-Paradise, NV (-12.6 percent). Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) In July, nonfarm payroll employment decreased in all of the 38 metropolitan divisions over the year. The largest over-the-year decrease in employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (-1,026,700), followed by Los Angeles-Long Beach- Glendale, CA (-424,300), and Chicago-Naperville-Arlington Heights, IL (-311,900). (See table 4.) The largest over-the-year percentage decreases in employment occurred in Lynn-Saugus-Marblehead, MA (-16.2 percent), Haverhill-Newburyport-Amesbury Town, MA-NH (-14.8 percent), and New York-Jersey City-White Plains, NY-NJ (-14.2 percent). _____________ The State Employment and Unemployment news release for August is scheduled to be released on Friday, September 18, 2020, at 10:00 a.m. (ET). The Metropolitan Area Employment and Unemployment news release for August is scheduled to be released on Wednesday, September 30, 2020, at 10:00 a.m. (ET). ____________________________________________________________________________________________ | | | Coronavirus (COVID-19) Pandemic Impact on July 2020 | | Establishment and Household Survey Data | | | | BLS has continued to review all estimation and methodological procedures for the | | establishment survey, which included the review of data, estimation processes, the | | application of the birth-death model, and seasonal adjustment. Business births and deaths | | cannot be adequately captured by the establishment survey as they occur. Therefore, the | | Current Employment Statistics (CES) program uses a model to account for the relatively | | stable net employment change generated by business births and deaths. Due to the impact of | | COVID-19, the relationship between business births and deaths is no longer stable. | | Typically, reports with zero employment are not included in estimation. For the June final | | and July preliminary estimates, CES included a portion of these reports in the estimates | | and made modifications to the birth-death model. In addition for both months, the | | establishment survey included a portion of the reports that returned to reporting positive | | employment from reporting zero employment. For more information, see | | www.bls.gov/web/empsit/cesbd.htm. | | | | In the establishment survey, workers who are paid by their employer for all or any part of | | the pay period including the 12th of the month are counted as employed, even if they were | | not actually at their jobs. Workers who are temporarily or permanently absent from their | | jobs and are not being paid are not counted as employed, even if they are continuing to | | receive benefits. The length of the reference period does vary across the respondents in | | the establishment survey; one-third of businesses have a weekly pay period, slightly over | | 40 percent a bi-weekly, about 20 percent semi-monthly, and a small amount monthly. | | | | For the July 2020 estimates of household employment and unemployment from the Local Area | | Unemployment Statistics (LAUS) program, BLS continued to implement level-shift outliers in | | the employment and/or unemployment inputs to the state models, based on statistical | | evaluation of movements in each area's inputs. Both the Current Population Survey inputs, | | which serve as the primary inputs to the LAUS models, and the nonfarm payroll employment | | and unemployment insurance claims covariates were examined for outliers. The resulting | | implementation of level shifts preserved movements in the published estimates that the | | models otherwise would have discounted, without requiring changes to how the models create | | estimates at other points in the time series. | | | | The "Frequently asked questions" document at | | www.bls.gov/covid19/employment-situation-covid19-faq-july-2020.htm extensively discusses | | the impact of a misclassification in the household survey on the national estimates for | | July 2020. Despite the considerable decline in its degree relative to prior months, this | | misclassification continued to be widespread geographically, with BLS analysis indicating | | that most states again were affected to at least some extent. However, according to usual | | practice, the data from the household survey are accepted as recorded. To maintain data | | integrity, no ad hoc actions are taken to reclassify survey responses. Hence, the | | household survey estimates of employed and unemployed people that serve as the primary | | inputs to the state models were affected to varying degrees by the misclassification, | | which in turn affected the official LAUS estimates for July 2020. Similar | | misclassifications had occurred in the household survey from March through June (see | | www.bls.gov/covid19/effects-of-covid-19-pandemic-and-response-on-the-employment-situation- | | news-release.htm#summaries). | | | | Household data for substate areas are controlled to the employment and unemployment totals | | for their respective model-based areas. Hence, the preliminary July and revised June | | estimates for substate areas reflect the use of level-shift outliers, where implemented, | | in the inputs for their model-based control areas. The substate area estimates for both | | months also were impacted by misclassification in the household survey, in proportion to | | the impacts of the misclassifications on the data for their model-based control areas. | | | | Household data for Puerto Rico are not modeled, but rather are derived from a monthly | | household survey similar to the Current Population Survey. The Puerto Rico Department of | | Labor has reported a misclassification in its household survey since May 2020 similar in | | nature to the misclassification in the Current Population Survey, which has affected the | | local area data proportionally. | |____________________________________________________________________________________________|
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 2015, a new generation of time-series models was implemented, resulting in the replacement of data back to the series beginnings. At the same time, enhancements were made to the substate estimation methodology, and more timely inputs from the American Community Survey were incorporated. 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 sample of establishments is very small or highly variable. In these cases, a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods. 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 in order to incorporate real-time estimates. 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 are available on the BLS website at www.bls.gov/sae/. Information in this news release will be made available to sensory impaired individuals upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.
State and area | Civilian labor force | Unemployed | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
June | July | Number | Percent of labor force | |||||||||
2019 | 2020 | 2019 | 2020(p) | June | July | June | July | |||||
2019 | 2020 | 2019 | 2020(p) | 2019 | 2020 | 2019 | 2020(p) | |||||
Alabama |
2,246,030 | 2,201,446 | 2,245,474 | 2,237,001 | 73,570 | 174,813 | 69,916 | 182,321 | 3.3 | 7.9 | 3.1 | 8.2 |
Anniston-Oxford-Jacksonville |
46,355 | 44,000 | 46,131 | 44,794 | 1,784 | 4,112 | 1,661 | 4,237 | 3.8 | 9.3 | 3.6 | 9.5 |
Auburn-Opelika |
75,926 | 72,148 | 76,138 | 73,662 | 2,327 | 5,308 | 2,129 | 5,299 | 3.1 | 7.4 | 2.8 | 7.2 |
Birmingham-Hoover |
554,770 | 540,904 | 555,589 | 548,020 | 16,372 | 40,436 | 15,381 | 42,552 | 3.0 | 7.5 | 2.8 | 7.8 |
Daphne-Fairhope-Foley |
99,811 | 97,972 | 99,665 | 98,935 | 2,799 | 7,125 | 2,544 | 7,281 | 2.8 | 7.3 | 2.6 | 7.4 |
Decatur |
72,755 | 68,940 | 72,575 | 70,097 | 2,147 | 4,368 | 2,008 | 4,493 | 3.0 | 6.3 | 2.8 | 6.4 |
Dothan |
64,481 | 62,378 | 64,851 | 63,724 | 2,146 | 4,375 | 1,975 | 4,513 | 3.3 | 7.0 | 3.0 | 7.1 |
Florence-Muscle Shoals |
66,072 | 63,661 | 66,343 | 64,538 | 2,556 | 5,022 | 2,481 | 5,036 | 3.9 | 7.9 | 3.7 | 7.8 |
Gadsden |
42,958 | 40,566 | 42,549 | 41,195 | 1,595 | 3,924 | 1,484 | 4,123 | 3.7 | 9.7 | 3.5 | 10.0 |
Huntsville |
228,912 | 221,899 | 228,952 | 222,811 | 6,548 | 14,100 | 6,095 | 14,144 | 2.9 | 6.4 | 2.7 | 6.3 |
Mobile |
189,001 | 187,486 | 188,081 | 190,693 | 7,554 | 21,426 | 7,387 | 23,356 | 4.0 | 11.4 | 3.9 | 12.2 |
Montgomery |
173,806 | 170,172 | 173,392 | 173,266 | 5,523 | 16,080 | 5,267 | 17,385 | 3.2 | 9.4 | 3.0 | 10.0 |
Tuscaloosa |
117,757 | 115,135 | 117,408 | 117,847 | 3,902 | 10,348 | 3,728 | 10,632 | 3.3 | 9.0 | 3.2 | 9.0 |
Alaska |
355,191 | 350,803 | 359,113 | 351,838 | 22,261 | 43,221 | 20,150 | 38,096 | 6.3 | 12.3 | 5.6 | 10.8 |
Anchorage |
194,887 | 195,933 | 193,776 | 192,316 | 11,328 | 23,992 | 10,244 | 21,226 | 5.8 | 12.2 | 5.3 | 11.0 |
Fairbanks |
44,424 | 43,811 | 45,041 | 45,158 | 2,420 | 4,585 | 2,220 | 4,025 | 5.4 | 10.5 | 4.9 | 8.9 |
Arizona |
3,542,293 | 3,511,432 | 3,550,152 | 3,563,645 | 178,750 | 361,607 | 180,844 | 389,677 | 5.0 | 10.3 | 5.1 | 10.9 |
Flagstaff |
78,032 | 70,331 | 77,592 | 70,052 | 4,594 | 9,386 | 4,635 | 9,549 | 5.9 | 13.3 | 6.0 | 13.6 |
Lake Havasu City-Kingman |
88,783 | 86,439 | 88,808 | 88,011 | 5,233 | 10,984 | 5,215 | 11,030 | 5.9 | 12.7 | 5.9 | 12.5 |
Phoenix-Mesa-Scottsdale |
2,490,205 | 2,479,436 | 2,502,385 | 2,519,889 | 109,300 | 242,081 | 109,076 | 259,967 | 4.4 | 9.8 | 4.4 | 10.3 |
Prescott |
108,141 | 108,470 | 107,835 | 109,029 | 5,097 | 10,010 | 5,043 | 10,467 | 4.7 | 9.2 | 4.7 | 9.6 |
Sierra Vista-Douglas |
50,239 | 50,825 | 49,803 | 51,794 | 3,039 | 4,470 | 3,043 | 4,805 | 6.0 | 8.8 | 6.1 | 9.3 |
Tucson |
497,736 | 496,222 | 498,093 | 500,543 | 23,677 | 49,184 | 23,748 | 52,789 | 4.8 | 9.9 | 4.8 | 10.5 |
Yuma |
96,187 | 92,547 | 98,365 | 98,174 | 18,137 | 20,349 | 20,097 | 24,371 | 18.9 | 22.0 | 20.4 | 24.8 |
Arkansas |
1,376,830 | 1,331,793 | 1,379,283 | 1,322,768 | 52,458 | 111,111 | 56,737 | 98,992 | 3.8 | 8.3 | 4.1 | 7.5 |
Fayetteville-Springdale-Rogers |
280,387 | 274,511 | 284,839 | 274,123 | 7,694 | 17,641 | 8,530 | 15,602 | 2.7 | 6.4 | 3.0 | 5.7 |
Fort Smith |
120,421 | 115,425 | 120,296 | 115,571 | 4,690 | 8,575 | 4,774 | 8,305 | 3.9 | 7.4 | 4.0 | 7.2 |
Hot Springs |
41,985 | 41,219 | 42,818 | 41,575 | 1,690 | 4,495 | 1,826 | 3,990 | 4.0 | 10.9 | 4.3 | 9.6 |
Jonesboro |
66,185 | 65,227 | 67,235 | 65,692 | 2,138 | 5,088 | 2,307 | 4,413 | 3.2 | 7.8 | 3.4 | 6.7 |
Little Rock-North Little Rock-Conway |
362,917 | 349,496 | 366,061 | 345,941 | 12,176 | 31,464 | 13,706 | 28,620 | 3.4 | 9.0 | 3.7 | 8.3 |
Pine Bluff |
35,190 | 34,293 | 35,418 | 33,690 | 2,019 | 3,297 | 2,132 | 3,135 | 5.7 | 9.6 | 6.0 | 9.3 |
California |
19,325,538 | 18,928,353 | 19,465,613 | 18,885,235 | 794,837 | 2,852,147 | 857,771 | 2,591,029 | 4.1 | 15.1 | 4.4 | 13.7 |
Bakersfield |
390,954 | 375,049 | 384,070 | 370,022 | 31,102 | 65,477 | 32,518 | 61,191 | 8.0 | 17.5 | 8.5 | 16.5 |
Chico |
97,541 | 93,734 | 97,842 | 93,223 | 5,242 | 11,440 | 5,461 | 10,372 | 5.4 | 12.2 | 5.6 | 11.1 |
El Centro |
71,901 | 73,161 | 70,275 | 71,499 | 13,142 | 20,079 | 14,224 | 19,152 | 18.3 | 27.4 | 20.2 | 26.8 |
Fresno |
451,786 | 450,021 | 451,656 | 447,392 | 31,743 | 65,152 | 32,696 | 60,354 | 7.0 | 14.5 | 7.2 | 13.5 |
Hanford-Corcoran |
57,229 | 57,031 | 57,888 | 56,513 | 4,542 | 8,195 | 4,499 | 7,406 | 7.9 | 14.4 | 7.8 | 13.1 |
Los Angeles-Long Beach-Anaheim |
6,692,809 | 6,519,105 | 6,756,753 | 6,518,559 | 274,997 | 1,183,160 | 306,734 | 1,091,896 | 4.1 | 18.1 | 4.5 | 16.8 |
Madera |
62,281 | 62,205 | 61,042 | 60,808 | 4,265 | 8,641 | 4,413 | 7,909 | 6.8 | 13.9 | 7.2 | 13.0 |
Merced |
115,242 | 114,591 | 112,782 | 112,344 | 9,336 | 17,888 | 9,425 | 16,329 | 8.1 | 15.6 | 8.4 | 14.5 |
Modesto |
242,761 | 236,496 | 244,386 | 236,000 | 15,409 | 35,387 | 15,785 | 32,175 | 6.3 | 15.0 | 6.5 | 13.6 |
Napa |
75,059 | 73,298 | 75,942 | 72,681 | 2,067 | 9,254 | 2,234 | 7,579 | 2.8 | 12.6 | 2.9 | 10.4 |
Oxnard-Thousand Oaks-Ventura |
421,387 | 412,869 | 422,938 | 412,170 | 15,163 | 51,884 | 16,388 | 46,419 | 3.6 | 12.6 | 3.9 | 11.3 |
Redding |
74,445 | 72,702 | 73,839 | 71,688 | 3,402 | 8,348 | 3,531 | 7,544 | 4.6 | 11.5 | 4.8 | 10.5 |
Riverside-San Bernardino-Ontario |
2,055,848 | 2,059,311 | 2,074,443 | 2,056,551 | 87,191 | 294,027 | 94,788 | 275,444 | 4.2 | 14.3 | 4.6 | 13.4 |
Sacramento--Roseville--Arden-Arcade |
1,096,850 | 1,087,766 | 1,105,826 | 1,086,300 | 40,851 | 139,214 | 43,517 | 125,374 | 3.7 | 12.8 | 3.9 | 11.5 |
Salinas |
231,689 | 203,516 | 231,408 | 198,393 | 11,019 | 29,306 | 10,872 | 23,992 | 4.8 | 14.4 | 4.7 | 12.1 |
San Diego-Carlsbad |
1,582,682 | 1,584,423 | 1,595,803 | 1,576,739 | 52,870 | 219,345 | 56,736 | 193,994 | 3.3 | 13.8 | 3.6 | 12.3 |
San Francisco-Oakland-Hayward |
2,574,357 | 2,515,621 | 2,606,919 | 2,518,800 | 70,861 | 316,885 | 75,680 | 279,148 | 2.8 | 12.6 | 2.9 | 11.1 |
San Jose-Sunnyvale-Santa Clara |
1,081,065 | 1,068,607 | 1,092,797 | 1,067,767 | 29,140 | 114,940 | 30,832 | 100,204 | 2.7 | 10.8 | 2.8 | 9.4 |
San Luis Obispo-Paso Robles-Arroyo Grande |
142,111 | 132,859 | 140,314 | 131,237 | 4,239 | 15,230 | 4,523 | 13,026 | 3.0 | 11.5 | 3.2 | 9.9 |
Santa Cruz-Watsonville |
144,904 | 132,288 | 144,340 | 130,015 | 6,112 | 17,356 | 6,215 | 14,552 | 4.2 | 13.1 | 4.3 | 11.2 |
Santa Maria-Santa Barbara |
221,045 | 213,557 | 220,335 | 215,167 | 7,528 | 24,663 | 8,002 | 21,449 | 3.4 | 11.5 | 3.6 | 10.0 |
Santa Rosa |
256,989 | 252,242 | 260,892 | 252,982 | 7,215 | 29,356 | 7,682 | 24,720 | 2.8 | 11.6 | 2.9 | 9.8 |
Stockton-Lodi |
327,178 | 327,409 | 327,810 | 322,382 | 19,020 | 51,783 | 20,168 | 47,650 | 5.8 | 15.8 | 6.2 | 14.8 |
Vallejo-Fairfield |
209,064 | 203,712 | 209,831 | 203,209 | 8,063 | 27,646 | 8,564 | 25,139 | 3.9 | 13.6 | 4.1 | 12.4 |
Visalia-Porterville |
205,888 | 195,252 | 202,033 | 191,143 | 18,839 | 33,379 | 20,084 | 30,909 | 9.2 | 17.1 | 9.9 | 16.2 |
Yuba City |
75,878 | 71,946 | 76,246 | 70,719 | 4,998 | 10,578 | 5,010 | 9,559 | 6.6 | 14.7 | 6.6 | 13.5 |
Colorado |
3,162,311 | 3,197,104 | 3,171,847 | 3,102,029 | 92,508 | 343,630 | 85,711 | 228,922 | 2.9 | 10.7 | 2.7 | 7.4 |
Boulder |
195,857 | 198,765 | 196,219 | 189,458 | 5,160 | 19,001 | 4,606 | 12,583 | 2.6 | 9.6 | 2.3 | 6.6 |
Colorado Springs |
357,736 | 366,045 | 356,534 | 355,801 | 12,490 | 38,484 | 12,003 | 24,549 | 3.5 | 10.5 | 3.4 | 6.9 |
Denver-Aurora-Lakewood |
1,690,123 | 1,719,264 | 1,688,814 | 1,676,146 | 47,514 | 190,980 | 44,060 | 131,076 | 2.8 | 11.1 | 2.6 | 7.8 |
Fort Collins |
207,215 | 209,794 | 206,484 | 198,761 | 5,245 | 19,398 | 4,578 | 12,261 | 2.5 | 9.2 | 2.2 | 6.2 |
Grand Junction |
76,133 | 79,237 | 76,401 | 76,353 | 2,759 | 8,034 | 2,664 | 5,306 | 3.6 | 10.1 | 3.5 | 6.9 |
Greeley |
168,997 | 170,164 | 170,232 | 165,644 | 4,713 | 17,229 | 4,352 | 11,988 | 2.8 | 10.1 | 2.6 | 7.2 |
Pueblo |
76,305 | 77,445 | 75,745 | 74,759 | 3,255 | 8,452 | 3,262 | 5,904 | 4.3 | 10.9 | 4.3 | 7.9 |
Connecticut |
1,925,633 | 1,896,444 | 1,945,070 | 1,929,934 | 74,192 | 192,941 | 75,777 | 198,522 | 3.9 | 10.2 | 3.9 | 10.3 |
Bridgeport-Stamford-Norwalk |
473,156 | 456,240 | 477,495 | 465,712 | 18,498 | 48,338 | 18,482 | 49,575 | 3.9 | 10.6 | 3.9 | 10.6 |
Danbury |
108,232 | 105,732 | 109,699 | 108,110 | 3,501 | 9,792 | 3,551 | 9,742 | 3.2 | 9.3 | 3.2 | 9.0 |
Hartford-West Hartford-East Hartford |
630,127 | 630,583 | 636,440 | 641,603 | 24,311 | 62,127 | 25,245 | 64,493 | 3.9 | 9.9 | 4.0 | 10.1 |
New Haven |
329,978 | 330,017 | 332,738 | 333,969 | 12,541 | 30,670 | 12,839 | 32,358 | 3.8 | 9.3 | 3.9 | 9.7 |
Norwich-New London-Westerly |
144,539 | 141,188 | 146,728 | 143,400 | 5,340 | 18,711 | 5,470 | 17,712 | 3.7 | 13.3 | 3.7 | 12.4 |
Waterbury |
112,484 | 110,744 | 113,305 | 112,782 | 5,215 | 12,697 | 5,413 | 13,449 | 4.6 | 11.5 | 4.8 | 11.9 |
Delaware |
490,751 | 490,453 | 492,940 | 510,905 | 19,899 | 63,184 | 20,243 | 54,170 | 4.1 | 12.9 | 4.1 | 10.6 |
Dover |
79,134 | 83,141 | 79,191 | 86,412 | 3,745 | 11,634 | 3,916 | 9,973 | 4.7 | 14.0 | 4.9 | 11.5 |
Salisbury(1) |
204,404 | 195,578 | 206,884 | 202,671 | 8,566 | 20,874 | 8,387 | 17,375 | 4.2 | 10.7 | 4.1 | 8.6 |
District of Columbia |
412,636 | 396,821 | 416,468 | 399,066 | 24,062 | 36,049 | 24,138 | 35,347 | 5.8 | 9.1 | 5.8 | 8.9 |
Washington-Arlington-Alexandria |
3,489,162 | 3,442,338 | 3,527,506 | 3,453,634 | 115,882 | 286,709 | 116,169 | 271,924 | 3.3 | 8.3 | 3.3 | 7.9 |
Florida |
10,318,834 | 9,769,147 | 10,372,151 | 10,032,703 | 344,231 | 1,027,965 | 350,600 | 1,157,494 | 3.3 | 10.5 | 3.4 | 11.5 |
Cape Coral-Fort Myers |
344,466 | 329,431 | 345,699 | 333,436 | 11,891 | 31,644 | 11,820 | 35,740 | 3.5 | 9.6 | 3.4 | 10.7 |
Crestview-Fort Walton Beach-Destin |
132,666 | 121,304 | 133,459 | 123,185 | 3,770 | 7,700 | 3,750 | 8,651 | 2.8 | 6.3 | 2.8 | 7.0 |
Deltona-Daytona Beach-Ormond Beach |
301,711 | 287,355 | 303,220 | 294,054 | 11,386 | 27,315 | 11,362 | 30,840 | 3.8 | 9.5 | 3.7 | 10.5 |
Gainesville |
143,534 | 133,152 | 144,711 | 136,172 | 4,779 | 8,602 | 4,946 | 10,274 | 3.3 | 6.5 | 3.4 | 7.5 |
Homosassa Springs |
47,675 | 45,532 | 46,672 | 45,131 | 2,445 | 4,484 | 2,455 | 5,065 | 5.1 | 9.8 | 5.3 | 11.2 |
Jacksonville |
787,160 | 746,406 | 794,262 | 765,557 | 26,777 | 57,896 | 27,522 | 66,995 | 3.4 | 7.8 | 3.5 | 8.8 |
Lakeland-Winter Haven |
305,166 | 303,137 | 306,720 | 304,430 | 12,214 | 41,289 | 12,602 | 40,238 | 4.0 | 13.6 | 4.1 | 13.2 |
Miami-Fort Lauderdale-West Palm Beach |
3,144,322 | 2,951,277 | 3,165,320 | 3,038,739 | 93,941 | 336,984 | 96,275 | 402,316 | 3.0 | 11.4 | 3.0 | 13.2 |
Naples-Immokalee-Marco Island |
175,950 | 167,548 | 175,679 | 170,348 | 5,867 | 15,805 | 6,260 | 17,764 | 3.3 | 9.4 | 3.6 | 10.4 |
North Port-Sarasota-Bradenton |
368,704 | 346,728 | 367,810 | 351,274 | 12,399 | 29,376 | 12,396 | 33,163 | 3.4 | 8.5 | 3.4 | 9.4 |
Ocala |
137,956 | 133,762 | 138,538 | 137,147 | 5,736 | 11,051 | 5,689 | 12,790 | 4.2 | 8.3 | 4.1 | 9.3 |
Orlando-Kissimmee-Sanford |
1,364,425 | 1,287,034 | 1,374,139 | 1,353,072 | 43,960 | 207,450 | 44,835 | 206,554 | 3.2 | 16.1 | 3.3 | 15.3 |
Palm Bay-Melbourne-Titusville |
285,268 | 275,374 | 287,648 | 281,541 | 9,696 | 22,643 | 9,745 | 25,996 | 3.4 | 8.2 | 3.4 | 9.2 |
Panama City |
92,381 | 85,324 | 92,427 | 86,741 | 3,601 | 5,847 | 3,476 | 6,653 | 3.9 | 6.9 | 3.8 | 7.7 |
Pensacola-Ferry Pass-Brent |
229,761 | 213,669 | 232,397 | 221,910 | 7,758 | 15,625 | 7,911 | 18,839 | 3.4 | 7.3 | 3.4 | 8.5 |
Port St. Lucie |
219,042 | 210,952 | 219,356 | 213,040 | 8,719 | 19,102 | 8,906 | 21,678 | 4.0 | 9.1 | 4.1 | 10.2 |
Punta Gorda |
71,458 | 68,811 | 71,184 | 70,312 | 2,775 | 6,238 | 2,748 | 7,059 | 3.9 | 9.1 | 3.9 | 10.0 |
Sebastian-Vero Beach |
65,296 | 61,612 | 65,378 | 63,135 | 2,707 | 5,690 | 2,800 | 6,535 | 4.1 | 9.2 | 4.3 | 10.4 |
Sebring |
36,110 | 34,748 | 35,501 | 35,124 | 1,768 | 3,096 | 1,820 | 3,626 | 4.9 | 8.9 | 5.1 | 10.3 |
Tallahassee |
192,252 | 178,192 | 193,756 | 181,584 | 6,747 | 12,405 | 7,076 | 15,234 | 3.5 | 7.0 | 3.7 | 8.4 |
Tampa-St. Petersburg-Clearwater |
1,554,392 | 1,485,174 | 1,562,931 | 1,520,131 | 52,744 | 133,830 | 53,288 | 154,033 | 3.4 | 9.0 | 3.4 | 10.1 |
The Villages |
32,753 | 31,064 | 32,201 | 31,644 | 1,637 | 2,918 | 1,552 | 3,166 | 5.0 | 9.4 | 4.8 | 10.0 |
Georgia |
5,101,635 | 4,936,947 | 5,126,399 | 5,018,467 | 193,000 | 392,596 | 196,151 | 400,197 | 3.8 | 8.0 | 3.8 | 8.0 |
Albany |
66,302 | 63,657 | 66,482 | 65,019 | 3,152 | 5,136 | 3,108 | 5,625 | 4.8 | 8.1 | 4.7 | 8.7 |
Athens-Clarke County |
97,409 | 94,333 | 97,904 | 95,170 | 3,695 | 6,297 | 3,629 | 6,289 | 3.8 | 6.7 | 3.7 | 6.6 |
Atlanta-Sandy Springs-Roswell |
3,088,537 | 2,992,218 | 3,105,869 | 3,053,798 | 111,677 | 258,085 | 111,222 | 260,701 | 3.6 | 8.6 | 3.6 | 8.5 |
Augusta-Richmond County |
268,204 | 260,030 | 268,368 | 262,867 | 10,685 | 18,567 | 10,908 | 19,306 | 4.0 | 7.1 | 4.1 | 7.3 |
Brunswick |
53,192 | 46,027 | 53,589 | 47,141 | 1,949 | 3,642 | 1,950 | 3,706 | 3.7 | 7.9 | 3.6 | 7.9 |
Columbus |
123,369 | 117,395 | 123,143 | 119,373 | 5,450 | 10,216 | 5,506 | 10,118 | 4.4 | 8.7 | 4.5 | 8.5 |
Dalton |
58,826 | 55,970 | 59,311 | 56,724 | 2,653 | 4,232 | 2,863 | 4,489 | 4.5 | 7.6 | 4.8 | 7.9 |
Gainesville |
101,625 | 97,315 | 102,131 | 98,773 | 3,199 | 5,584 | 3,190 | 5,548 | 3.1 | 5.7 | 3.1 | 5.6 |
Hinesville |
33,879 | 33,465 | 34,328 | 33,990 | 1,449 | 2,156 | 1,472 | 2,224 | 4.3 | 6.4 | 4.3 | 6.5 |
Macon-Bibb County |
102,942 | 97,613 | 103,236 | 99,713 | 4,292 | 7,489 | 4,319 | 8,080 | 4.2 | 7.7 | 4.2 | 8.1 |
Rome |
43,887 | 44,021 | 44,436 | 44,138 | 1,752 | 3,070 | 2,083 | 3,134 | 4.0 | 7.0 | 4.7 | 7.1 |
Savannah |
189,824 | 181,786 | 190,258 | 184,218 | 6,656 | 15,647 | 6,650 | 15,539 | 3.5 | 8.6 | 3.5 | 8.4 |
Valdosta |
63,309 | 61,434 | 63,497 | 62,302 | 2,481 | 4,036 | 2,473 | 4,459 | 3.9 | 6.6 | 3.9 | 7.2 |
Warner Robins |
86,516 | 80,846 | 86,356 | 81,429 | 3,310 | 5,008 | 3,279 | 5,097 | 3.8 | 6.2 | 3.8 | 6.3 |
Hawaii |
665,587 | 633,171 | 667,217 | 638,063 | 22,078 | 88,201 | 18,429 | 83,293 | 3.3 | 13.9 | 2.8 | 13.1 |
Kahului-Wailuku-Lahaina |
87,202 | 82,147 | 87,789 | 82,486 | 2,710 | 17,751 | 2,264 | 17,589 | 3.1 | 21.6 | 2.6 | 21.3 |
Urban Honolulu |
450,087 | 426,792 | 450,177 | 432,741 | 14,402 | 51,866 | 11,749 | 47,852 | 3.2 | 12.2 | 2.6 | 11.1 |
Idaho |
891,130 | 905,361 | 895,029 | 912,822 | 23,779 | 49,489 | 24,218 | 42,843 | 2.7 | 5.5 | 2.7 | 4.7 |
Boise City |
378,088 | 389,368 | 380,137 | 392,137 | 10,106 | 22,745 | 10,296 | 20,071 | 2.7 | 5.8 | 2.7 | 5.1 |
Coeur d'Alene |
81,852 | 80,744 | 82,244 | 80,708 | 2,379 | 5,588 | 2,379 | 4,820 | 2.9 | 6.9 | 2.9 | 6.0 |
Idaho Falls |
73,476 | 77,465 | 73,631 | 77,992 | 1,585 | 2,852 | 1,593 | 2,404 | 2.2 | 3.7 | 2.2 | 3.1 |
Lewiston |
31,385 | 29,852 | 31,425 | 30,369 | 934 | 1,558 | 980 | 1,612 | 3.0 | 5.2 | 3.1 | 5.3 |
Pocatello |
42,500 | 40,977 | 42,646 | 40,858 | 1,123 | 2,055 | 1,370 | 1,855 | 2.6 | 5.0 | 3.2 | 4.5 |
Twin Falls |
53,971 | 54,422 | 54,175 | 54,950 | 1,408 | 2,738 | 1,400 | 2,417 | 2.6 | 5.0 | 2.6 | 4.4 |
Illinois |
6,517,399 | 6,569,589 | 6,534,712 | 6,314,164 | 267,575 | 957,765 | 276,947 | 715,559 | 4.1 | 14.6 | 4.2 | 11.3 |
Bloomington |
94,703 | 90,915 | 95,224 | 89,433 | 3,627 | 9,591 | 3,908 | 7,136 | 3.8 | 10.5 | 4.1 | 8.0 |
Carbondale-Marion |
58,579 | 59,137 | 59,841 | 58,094 | 2,378 | 7,279 | 2,568 | 5,361 | 4.1 | 12.3 | 4.3 | 9.2 |
Champaign-Urbana |
119,703 | 118,505 | 120,871 | 117,239 | 4,660 | 12,061 | 5,067 | 9,289 | 3.9 | 10.2 | 4.2 | 7.9 |
Chicago-Naperville-Elgin |
4,930,924 | 5,012,431 | 4,935,559 | 4,797,284 | 200,045 | 779,102 | 202,248 | 573,930 | 4.1 | 15.5 | 4.1 | 12.0 |
Danville |
33,223 | 33,263 | 33,538 | 32,306 | 1,584 | 4,091 | 1,819 | 3,208 | 4.8 | 12.3 | 5.4 | 9.9 |
Davenport-Moline-Rock Island(1) |
197,693 | 192,898 | 200,967 | 186,931 | 7,775 | 22,114 | 7,853 | 17,025 | 3.9 | 11.5 | 3.9 | 9.1 |
Decatur |
49,456 | 47,944 | 49,761 | 46,688 | 2,565 | 6,917 | 2,767 | 5,593 | 5.2 | 14.4 | 5.6 | 12.0 |
Kankakee |
56,391 | 56,653 | 56,811 | 55,044 | 2,481 | 6,805 | 2,647 | 5,242 | 4.4 | 12.0 | 4.7 | 9.5 |
Peoria |
177,832 | 170,135 | 179,859 | 164,881 | 7,731 | 22,887 | 8,288 | 17,539 | 4.3 | 13.5 | 4.6 | 10.6 |
Rockford |
167,898 | 166,403 | 170,106 | 165,015 | 9,164 | 26,522 | 11,462 | 22,771 | 5.5 | 15.9 | 6.7 | 13.8 |
Springfield |
109,454 | 107,382 | 109,373 | 105,413 | 4,179 | 12,557 | 4,429 | 9,566 | 3.8 | 11.7 | 4.0 | 9.1 |
Indiana |
3,413,468 | 3,432,097 | 3,412,239 | 3,355,888 | 114,185 | 380,662 | 119,491 | 265,346 | 3.3 | 11.1 | 3.5 | 7.9 |
Bloomington |
76,121 | 76,928 | 75,703 | 75,555 | 2,886 | 7,113 | 2,889 | 5,154 | 3.8 | 9.2 | 3.8 | 6.8 |
Columbus |
45,511 | 45,209 | 45,627 | 44,229 | 1,180 | 4,782 | 1,174 | 3,020 | 2.6 | 10.6 | 2.6 | 6.8 |
Elkhart-Goshen |
115,752 | 110,145 | 110,236 | 107,708 | 3,583 | 11,825 | 4,136 | 8,684 | 3.1 | 10.7 | 3.8 | 8.1 |
Evansville |
166,004 | 168,354 | 165,514 | 165,057 | 5,390 | 15,425 | 5,488 | 11,322 | 3.2 | 9.2 | 3.3 | 6.9 |
Fort Wayne |
222,074 | 225,579 | 221,509 | 217,213 | 6,885 | 25,278 | 7,435 | 17,807 | 3.1 | 11.2 | 3.4 | 8.2 |
Indianapolis-Carmel-Anderson |
1,083,451 | 1,095,016 | 1,089,609 | 1,089,032 | 33,673 | 115,795 | 34,741 | 83,934 | 3.1 | 10.6 | 3.2 | 7.7 |
Kokomo |
36,204 | 39,285 | 36,999 | 37,216 | 1,365 | 6,520 | 1,434 | 3,268 | 3.8 | 16.6 | 3.9 | 8.8 |
Lafayette-West Lafayette |
111,211 | 110,438 | 111,804 | 106,846 | 3,524 | 10,430 | 3,585 | 7,575 | 3.2 | 9.4 | 3.2 | 7.1 |
Michigan City-La Porte |
48,878 | 51,447 | 48,620 | 48,737 | 1,996 | 7,968 | 2,026 | 5,141 | 4.1 | 15.5 | 4.2 | 10.5 |
Muncie |
52,488 | 52,975 | 52,618 | 52,338 | 2,171 | 5,928 | 2,213 | 4,313 | 4.1 | 11.2 | 4.2 | 8.2 |
South Bend-Mishawaka |
161,917 | 160,813 | 159,655 | 155,029 | 6,294 | 21,316 | 6,692 | 15,728 | 3.9 | 13.3 | 4.2 | 10.1 |
Terre Haute |
76,034 | 75,283 | 75,968 | 73,713 | 3,196 | 8,390 | 3,305 | 5,949 | 4.2 | 11.1 | 4.4 | 8.1 |
Iowa |
1,750,382 | 1,657,047 | 1,763,368 | 1,644,385 | 48,303 | 137,349 | 48,724 | 106,148 | 2.8 | 8.3 | 2.8 | 6.5 |
Ames |
56,480 | 54,151 | 56,843 | 54,049 | 1,379 | 3,438 | 1,308 | 2,699 | 2.4 | 6.3 | 2.3 | 5.0 |
Cedar Rapids |
150,044 | 142,469 | 151,045 | 141,917 | 4,342 | 13,618 | 4,467 | 10,728 | 2.9 | 9.6 | 3.0 | 7.6 |
Des Moines-West Des Moines |
370,835 | 350,259 | 375,696 | 349,712 | 10,330 | 32,338 | 10,148 | 24,149 | 2.8 | 9.2 | 2.7 | 6.9 |
Dubuque |
56,757 | 53,484 | 57,512 | 53,525 | 1,353 | 4,855 | 1,445 | 3,754 | 2.4 | 9.1 | 2.5 | 7.0 |
Iowa City |
99,446 | 97,215 | 101,335 | 97,864 | 2,326 | 7,412 | 2,361 | 5,958 | 2.3 | 7.6 | 2.3 | 6.1 |
Sioux City |
94,570 | 92,012 | 95,277 | 92,140 | 2,736 | 6,854 | 2,752 | 5,377 | 2.9 | 7.4 | 2.9 | 5.8 |
Waterloo-Cedar Falls |
90,789 | 87,059 | 91,561 | 86,486 | 2,631 | 7,615 | 3,148 | 5,953 | 2.9 | 8.7 | 3.4 | 6.9 |
Kansas |
1,498,185 | 1,497,192 | 1,508,779 | 1,514,277 | 48,792 | 113,748 | 56,697 | 115,911 | 3.3 | 7.6 | 3.8 | 7.7 |
Lawrence |
62,085 | 62,195 | 63,017 | 62,736 | 1,987 | 5,188 | 2,302 | 5,146 | 3.2 | 8.3 | 3.7 | 8.2 |
Manhattan |
44,736 | 42,164 | 45,517 | 42,871 | 1,357 | 3,116 | 1,603 | 3,160 | 3.0 | 7.4 | 3.5 | 7.4 |
Topeka |
121,816 | 119,510 | 122,974 | 121,148 | 3,901 | 8,615 | 4,513 | 8,387 | 3.2 | 7.2 | 3.7 | 6.9 |
Wichita |
317,999 | 322,963 | 321,702 | 326,353 | 11,109 | 34,963 | 12,600 | 35,695 | 3.5 | 10.8 | 3.9 | 10.9 |
Kentucky |
2,099,909 | 1,952,575 | 2,090,399 | 1,879,153 | 101,143 | 96,680 | 101,089 | 116,765 | 4.8 | 5.0 | 4.8 | 6.2 |
Bowling Green |
85,136 | 74,895 | 83,533 | 71,696 | 3,960 | 3,870 | 3,817 | 4,426 | 4.7 | 5.2 | 4.6 | 6.2 |
Elizabethtown-Fort Knox |
68,761 | 64,302 | 69,115 | 61,756 | 3,247 | 3,284 | 3,295 | 3,810 | 4.7 | 5.1 | 4.8 | 6.2 |
Lexington-Fayette |
279,154 | 259,560 | 276,198 | 250,658 | 10,946 | 11,358 | 10,605 | 13,896 | 3.9 | 4.4 | 3.8 | 5.5 |
Louisville/Jefferson County |
682,869 | 644,127 | 685,834 | 629,900 | 28,782 | 41,587 | 30,147 | 40,411 | 4.2 | 6.5 | 4.4 | 6.4 |
Owensboro |
56,338 | 53,667 | 56,675 | 52,507 | 2,499 | 2,264 | 2,404 | 2,820 | 4.4 | 4.2 | 4.2 | 5.4 |
Louisiana |
2,116,798 | 2,021,155 | 2,116,103 | 2,037,928 | 117,592 | 209,370 | 115,749 | 202,464 | 5.6 | 10.4 | 5.5 | 9.9 |
Alexandria |
64,011 | 60,704 | 64,306 | 61,690 | 3,756 | 4,557 | 3,779 | 4,545 | 5.9 | 7.5 | 5.9 | 7.4 |
Baton Rouge |
419,912 | 399,757 | 418,963 | 407,081 | 21,588 | 38,185 | 21,209 | 36,898 | 5.1 | 9.6 | 5.1 | 9.1 |
Hammond |
54,574 | 54,033 | 54,975 | 54,145 | 3,572 | 6,794 | 3,528 | 6,553 | 6.5 | 12.6 | 6.4 | 12.1 |
Houma-Thibodaux |
88,995 | 85,001 | 90,110 | 86,424 | 4,686 | 7,432 | 4,514 | 7,333 | 5.3 | 8.7 | 5.0 | 8.5 |
Lafayette |
214,706 | 207,627 | 215,288 | 211,310 | 11,678 | 19,038 | 11,366 | 19,209 | 5.4 | 9.2 | 5.3 | 9.1 |
Lake Charles |
112,499 | 103,593 | 111,096 | 102,536 | 5,221 | 10,198 | 5,145 | 10,070 | 4.6 | 9.8 | 4.6 | 9.8 |
Monroe |
79,492 | 79,865 | 80,046 | 80,962 | 4,811 | 6,805 | 4,710 | 6,739 | 6.1 | 8.5 | 5.9 | 8.3 |
New Orleans-Metairie |
602,602 | 575,024 | 601,336 | 574,171 | 31,398 | 73,378 | 30,809 | 68,558 | 5.2 | 12.8 | 5.1 | 11.9 |
Shreveport-Bossier City |
188,535 | 181,806 | 189,546 | 183,710 | 11,125 | 17,783 | 10,871 | 17,332 | 5.9 | 9.8 | 5.7 | 9.4 |
Maine |
701,100 | 680,560 | 708,797 | 716,038 | 19,348 | 44,364 | 18,891 | 67,639 | 2.8 | 6.5 | 2.7 | 9.4 |
Bangor |
70,597 | 67,614 | 70,436 | 71,103 | 1,930 | 4,139 | 1,939 | 6,202 | 2.7 | 6.1 | 2.8 | 8.7 |
Lewiston-Auburn |
55,821 | 54,609 | 55,146 | 57,693 | 1,562 | 3,721 | 1,593 | 5,793 | 2.8 | 6.8 | 2.9 | 10.0 |
Portland-South Portland |
211,982 | 200,852 | 213,230 | 214,289 | 4,874 | 13,893 | 4,637 | 21,082 | 2.3 | 6.9 | 2.2 | 9.8 |
Maryland |
3,285,538 | 3,243,857 | 3,316,105 | 3,281,791 | 126,624 | 274,749 | 128,327 | 253,886 | 3.9 | 8.5 | 3.9 | 7.7 |
Baltimore-Columbia-Towson |
1,536,254 | 1,510,041 | 1,543,891 | 1,523,429 | 60,333 | 124,263 | 61,622 | 114,418 | 3.9 | 8.2 | 4.0 | 7.5 |
California-Lexington Park |
57,742 | 55,875 | 58,397 | 55,629 | 2,064 | 3,366 | 2,325 | 3,315 | 3.6 | 6.0 | 4.0 | 6.0 |
Cumberland |
45,284 | 43,296 | 45,667 | 42,374 | 2,620 | 4,188 | 2,692 | 3,462 | 5.8 | 9.7 | 5.9 | 8.2 |
Hagerstown-Martinsburg |
134,893 | 130,131 | 135,349 | 129,703 | 5,332 | 11,223 | 5,193 | 9,764 | 4.0 | 8.6 | 3.8 | 7.5 |
Massachusetts |
3,851,461 | 3,726,254 | 3,865,262 | 3,722,933 | 120,601 | 664,413 | 121,141 | 602,132 | 3.1 | 17.8 | 3.1 | 16.2 |
Barnstable Town |
136,713 | 125,456 | 144,347 | 129,195 | 4,335 | 23,641 | 4,187 | 19,931 | 3.2 | 18.8 | 2.9 | 15.4 |
Boston-Cambridge-Nashua |
2,852,718 | 2,748,221 | 2,858,404 | 2,748,032 | 82,005 | 468,361 | 82,841 | 424,833 | 2.9 | 17.0 | 2.9 | 15.5 |
Leominster-Gardner |
81,019 | 80,547 | 80,844 | 80,658 | 2,927 | 15,500 | 2,999 | 14,364 | 3.6 | 19.2 | 3.7 | 17.8 |
New Bedford |
86,843 | 87,718 | 86,626 | 85,880 | 3,941 | 18,654 | 3,901 | 16,186 | 4.5 | 21.3 | 4.5 | 18.8 |
Pittsfield |
44,385 | 41,873 | 44,785 | 42,383 | 1,604 | 7,488 | 1,520 | 7,211 | 3.6 | 17.9 | 3.4 | 17.0 |
Springfield |
378,212 | 361,590 | 377,564 | 359,819 | 15,134 | 63,066 | 15,417 | 58,859 | 4.0 | 17.4 | 4.1 | 16.4 |
Worcester |
364,616 | 356,916 | 363,284 | 358,377 | 12,620 | 57,559 | 12,765 | 53,274 | 3.5 | 16.1 | 3.5 | 14.9 |
Michigan |
4,971,319 | 4,987,986 | 4,995,452 | 4,872,075 | 212,011 | 748,153 | 252,608 | 463,381 | 4.3 | 15.0 | 5.1 | 9.5 |
Ann Arbor |
196,456 | 207,910 | 197,148 | 203,278 | 6,672 | 22,196 | 8,187 | 16,118 | 3.4 | 10.7 | 4.2 | 7.9 |
Battle Creek |
63,134 | 65,624 | 62,631 | 62,044 | 2,824 | 10,041 | 3,263 | 6,747 | 4.5 | 15.3 | 5.2 | 10.9 |
Bay City |
50,736 | 51,566 | 50,485 | 49,783 | 2,473 | 7,071 | 2,730 | 4,735 | 4.9 | 13.7 | 5.4 | 9.5 |
Detroit-Warren-Dearborn |
2,159,216 | 2,050,504 | 2,192,505 | 2,041,892 | 95,839 | 368,458 | 116,168 | 205,978 | 4.4 | 18.0 | 5.3 | 10.1 |
Flint |
185,201 | 196,995 | 184,551 | 186,176 | 9,949 | 31,967 | 11,223 | 21,914 | 5.4 | 16.2 | 6.1 | 11.8 |
Grand Rapids-Wyoming |
589,196 | 613,390 | 584,115 | 592,088 | 19,094 | 73,802 | 22,756 | 49,521 | 3.2 | 12.0 | 3.9 | 8.4 |
Jackson |
74,817 | 79,073 | 74,064 | 75,279 | 3,058 | 11,397 | 3,621 | 7,605 | 4.1 | 14.4 | 4.9 | 10.1 |
Kalamazoo-Portage |
169,797 | 177,663 | 168,089 | 171,291 | 6,535 | 21,169 | 7,733 | 14,975 | 3.8 | 11.9 | 4.6 | 8.7 |
Lansing-East Lansing |
246,625 | 253,486 | 244,714 | 243,556 | 9,231 | 28,947 | 11,285 | 20,570 | 3.7 | 11.4 | 4.6 | 8.4 |
Midland |
41,049 | 41,776 | 40,500 | 40,197 | 1,609 | 4,630 | 1,813 | 3,194 | 3.9 | 11.1 | 4.5 | 7.9 |
Monroe |
76,171 | 77,657 | 75,969 | 73,781 | 3,039 | 10,396 | 4,304 | 6,796 | 4.0 | 13.4 | 5.7 | 9.2 |
Muskegon |
78,937 | 85,363 | 78,973 | 80,265 | 3,556 | 15,122 | 4,304 | 10,246 | 4.5 | 17.7 | 5.4 | 12.8 |
Niles-Benton Harbor |
75,435 | 79,290 | 75,001 | 76,450 | 3,379 | 10,962 | 3,717 | 7,574 | 4.5 | 13.8 | 5.0 | 9.9 |
Saginaw |
87,792 | 90,918 | 87,275 | 86,928 | 4,325 | 13,307 | 4,936 | 9,176 | 4.9 | 14.6 | 5.7 | 10.6 |
Minnesota |
3,126,861 | 3,132,255 | 3,142,453 | 3,122,326 | 101,099 | 268,067 | 99,631 | 232,475 | 3.2 | 8.6 | 3.2 | 7.4 |
Duluth |
143,200 | 142,845 | 142,698 | 139,601 | 5,795 | 14,811 | 5,739 | 12,185 | 4.0 | 10.4 | 4.0 | 8.7 |
Mankato-North Mankato |
61,293 | 62,869 | 60,324 | 62,886 | 1,817 | 4,620 | 1,713 | 3,888 | 3.0 | 7.3 | 2.8 | 6.2 |
Minneapolis-St. Paul-Bloomington |
2,037,819 | 2,047,082 | 2,052,753 | 2,029,218 | 63,618 | 188,240 | 61,878 | 165,968 | 3.1 | 9.2 | 3.0 | 8.2 |
Rochester |
125,968 | 127,344 | 127,883 | 126,085 | 3,620 | 10,373 | 3,475 | 8,338 | 2.9 | 8.1 | 2.7 | 6.6 |
St. Cloud |
112,317 | 117,644 | 113,323 | 116,125 | 3,517 | 8,708 | 3,320 | 7,118 | 3.1 | 7.4 | 2.9 | 6.1 |
Mississippi |
1,292,689 | 1,214,977 | 1,294,421 | 1,250,601 | 83,202 | 118,980 | 81,327 | 143,336 | 6.4 | 9.8 | 6.3 | 11.5 |
Gulfport-Biloxi-Pascagoula |
166,586 | 159,991 | 167,684 | 164,551 | 10,538 | 17,273 | 10,315 | 19,899 | 6.3 | 10.8 | 6.2 | 12.1 |
Hattiesburg |
67,827 | 64,268 | 68,352 | 66,768 | 3,904 | 5,668 | 3,911 | 6,890 | 5.8 | 8.8 | 5.7 | 10.3 |
Jackson |
270,897 | 254,486 | 271,590 | 260,950 | 15,600 | 23,748 | 15,107 | 27,824 | 5.8 | 9.3 | 5.6 | 10.7 |
Missouri |
3,108,213 | 3,062,094 | 3,117,422 | 3,104,813 | 104,362 | 242,693 | 117,030 | 223,884 | 3.4 | 7.9 | 3.8 | 7.2 |
Cape Girardeau |
48,795 | 45,478 | 47,555 | 44,088 | 1,681 | 3,222 | 1,773 | 2,886 | 3.4 | 7.1 | 3.7 | 6.5 |
Columbia |
96,112 | 95,258 | 97,250 | 97,009 | 2,536 | 5,443 | 2,858 | 4,934 | 2.6 | 5.7 | 2.9 | 5.1 |
Jefferson City |
75,277 | 74,581 | 76,323 | 75,455 | 2,170 | 4,138 | 2,402 | 4,194 | 2.9 | 5.5 | 3.1 | 5.6 |
Joplin |
84,416 | 84,370 | 85,515 | 84,005 | 2,777 | 6,063 | 3,232 | 5,505 | 3.3 | 7.2 | 3.8 | 6.6 |
Kansas City |
1,152,837 | 1,137,889 | 1,166,708 | 1,158,309 | 37,689 | 88,448 | 46,899 | 87,519 | 3.3 | 7.8 | 4.0 | 7.6 |
St. Joseph |
64,060 | 62,214 | 64,676 | 63,667 | 2,027 | 3,578 | 2,275 | 3,499 | 3.2 | 5.8 | 3.5 | 5.5 |
St. Louis(2) |
1,490,157 | 1,460,349 | 1,504,296 | 1,477,354 | 50,765 | 141,168 | 54,599 | 120,569 | 3.4 | 9.7 | 3.6 | 8.2 |
Springfield |
235,326 | 235,507 | 238,189 | 237,829 | 6,617 | 17,157 | 7,130 | 15,050 | 2.8 | 7.3 | 3.0 | 6.3 |
Montana |
539,659 | 541,884 | 543,860 | 544,582 | 18,106 | 38,219 | 16,834 | 32,657 | 3.4 | 7.1 | 3.1 | 6.0 |
Billings |
88,323 | 89,225 | 88,202 | 89,572 | 2,988 | 6,004 | 2,768 | 5,241 | 3.4 | 6.7 | 3.1 | 5.9 |
Great Falls |
38,463 | 38,652 | 37,674 | 39,075 | 1,293 | 2,693 | 1,199 | 2,402 | 3.4 | 7.0 | 3.2 | 6.1 |
Missoula |
64,333 | 67,005 | 63,386 | 66,802 | 1,907 | 4,937 | 1,806 | 4,188 | 3.0 | 7.4 | 2.8 | 6.3 |
Nebraska |
1,047,089 | 1,056,791 | 1,051,883 | 1,062,027 | 34,683 | 60,587 | 35,001 | 53,250 | 3.3 | 5.7 | 3.3 | 5.0 |
Grand Island |
44,721 | 44,879 | 44,598 | 45,440 | 1,486 | 2,800 | 1,514 | 2,440 | 3.3 | 6.2 | 3.4 | 5.4 |
Lincoln |
184,484 | 192,980 | 187,752 | 197,214 | 5,892 | 10,982 | 5,689 | 9,813 | 3.2 | 5.7 | 3.0 | 5.0 |
Omaha-Council Bluffs |
499,939 | 505,233 | 507,334 | 511,749 | 16,414 | 34,702 | 16,761 | 30,157 | 3.3 | 6.9 | 3.3 | 5.9 |
Nevada |
1,543,666 | 1,502,735 | 1,550,643 | 1,492,874 | 63,748 | 230,332 | 63,204 | 211,304 | 4.1 | 15.3 | 4.1 | 14.2 |
Carson City |
26,575 | 24,966 | 26,541 | 25,300 | 1,058 | 2,187 | 1,018 | 2,035 | 4.0 | 8.8 | 3.8 | 8.0 |
Las Vegas-Henderson-Paradise |
1,130,891 | 1,110,574 | 1,139,458 | 1,102,994 | 49,377 | 198,080 | 48,856 | 181,335 | 4.4 | 17.8 | 4.3 | 16.4 |
Reno |
258,026 | 245,765 | 258,478 | 244,774 | 8,377 | 21,423 | 8,378 | 19,759 | 3.2 | 8.7 | 3.2 | 8.1 |
New Hampshire |
781,077 | 731,828 | 787,198 | 748,051 | 19,442 | 66,493 | 19,857 | 59,337 | 2.5 | 9.1 | 2.5 | 7.9 |
Dover-Durham |
86,300 | 80,529 | 87,005 | 82,348 | 1,978 | 6,865 | 2,054 | 6,720 | 2.3 | 8.5 | 2.4 | 8.2 |
Manchester |
123,274 | 118,579 | 122,952 | 119,554 | 2,979 | 10,670 | 2,956 | 9,557 | 2.4 | 9.0 | 2.4 | 8.0 |
Portsmouth |
79,437 | 73,447 | 80,559 | 75,668 | 1,742 | 5,875 | 1,742 | 5,862 | 2.2 | 8.0 | 2.2 | 7.7 |
New Jersey |
4,508,811 | 4,586,771 | 4,555,166 | 4,626,988 | 147,120 | 762,472 | 176,079 | 647,417 | 3.3 | 16.6 | 3.9 | 14.0 |
Atlantic City-Hammonton |
122,278 | 130,190 | 124,700 | 128,381 | 5,413 | 44,771 | 6,281 | 30,795 | 4.4 | 34.4 | 5.0 | 24.0 |
Ocean City |
53,261 | 46,891 | 57,280 | 47,696 | 2,260 | 9,453 | 2,325 | 7,155 | 4.2 | 20.2 | 4.1 | 15.0 |
Trenton |
203,279 | 202,832 | 204,653 | 207,226 | 6,058 | 25,122 | 7,407 | 22,679 | 3.0 | 12.4 | 3.6 | 10.9 |
Vineland-Bridgeton |
65,373 | 67,884 | 63,596 | 66,756 | 3,118 | 11,329 | 3,773 | 9,756 | 4.8 | 16.7 | 5.9 | 14.6 |
New Mexico |
958,214 | 927,108 | 960,503 | 915,503 | 52,893 | 84,250 | 52,663 | 121,941 | 5.5 | 9.1 | 5.5 | 13.3 |
Albuquerque |
438,294 | 421,768 | 438,755 | 416,079 | 23,151 | 38,034 | 22,991 | 54,658 | 5.3 | 9.0 | 5.2 | 13.1 |
Farmington |
52,329 | 47,248 | 51,601 | 47,737 | 3,330 | 5,370 | 3,327 | 7,633 | 6.4 | 11.4 | 6.4 | 16.0 |
Las Cruces |
96,906 | 91,970 | 96,423 | 90,718 | 6,217 | 8,190 | 6,069 | 11,806 | 6.4 | 8.9 | 6.3 | 13.0 |
Santa Fe |
75,847 | 70,521 | 76,902 | 70,153 | 3,413 | 6,668 | 3,416 | 9,491 | 4.5 | 9.5 | 4.4 | 13.5 |
New York |
9,538,972 | 9,438,251 | 9,596,950 | 9,688,730 | 363,430 | 1,461,408 | 400,342 | 1,548,633 | 3.8 | 15.5 | 4.2 | 16.0 |
Albany-Schenectady-Troy |
449,844 | 449,486 | 449,292 | 465,851 | 15,846 | 46,880 | 17,008 | 53,662 | 3.5 | 10.4 | 3.8 | 11.5 |
Binghamton |
107,265 | 108,648 | 105,964 | 111,402 | 4,705 | 12,034 | 5,041 | 13,924 | 4.4 | 11.1 | 4.8 | 12.5 |
Buffalo-Cheektowaga-Niagara Falls |
541,610 | 554,133 | 543,096 | 573,947 | 21,969 | 74,538 | 24,781 | 81,184 | 4.1 | 13.5 | 4.6 | 14.1 |
Elmira |
35,272 | 37,439 | 34,662 | 38,344 | 1,456 | 4,438 | 1,515 | 4,790 | 4.1 | 11.9 | 4.4 | 12.5 |
Glens Falls |
60,965 | 58,618 | 62,240 | 60,750 | 2,197 | 6,200 | 2,268 | 6,768 | 3.6 | 10.6 | 3.6 | 11.1 |
Ithaca |
47,722 | 49,275 | 48,128 | 51,045 | 1,811 | 4,341 | 2,001 | 5,034 | 3.8 | 8.8 | 4.2 | 9.9 |
Kingston |
88,443 | 90,331 | 88,568 | 93,706 | 3,237 | 10,140 | 3,560 | 11,632 | 3.7 | 11.2 | 4.0 | 12.4 |
New York-Newark-Jersey City |
9,961,096 | 9,902,832 | 10,041,853 | 10,094,064 | 353,469 | 1,687,395 | 401,529 | 1,651,128 | 3.5 | 17.0 | 4.0 | 16.4 |
Rochester |
522,374 | 518,263 | 521,882 | 529,306 | 20,409 | 58,272 | 22,345 | 68,525 | 3.9 | 11.2 | 4.3 | 12.9 |
Syracuse |
307,251 | 303,616 | 309,474 | 316,645 | 12,277 | 35,747 | 13,245 | 41,317 | 4.0 | 11.8 | 4.3 | 13.0 |
Utica-Rome |
130,145 | 129,262 | 130,621 | 133,835 | 5,698 | 13,858 | 5,683 | 16,279 | 4.4 | 10.7 | 4.4 | 12.2 |
Watertown-Fort Drum |
44,858 | 42,711 | 45,199 | 44,457 | 2,042 | 4,776 | 2,233 | 5,461 | 4.6 | 11.2 | 4.9 | 12.3 |
North Carolina |
5,097,518 | 4,812,847 | 5,125,881 | 4,965,432 | 213,152 | 371,764 | 219,539 | 441,279 | 4.2 | 7.7 | 4.3 | 8.9 |
Asheville |
239,348 | 221,531 | 240,228 | 228,796 | 8,232 | 19,751 | 8,226 | 21,446 | 3.4 | 8.9 | 3.4 | 9.4 |
Burlington |
82,450 | 78,649 | 83,371 | 81,414 | 3,474 | 6,043 | 3,638 | 7,137 | 4.2 | 7.7 | 4.4 | 8.8 |
Charlotte-Concord-Gastonia |
1,377,278 | 1,322,464 | 1,382,416 | 1,361,084 | 52,422 | 109,745 | 54,025 | 126,377 | 3.8 | 8.3 | 3.9 | 9.3 |
Durham-Chapel Hill |
304,896 | 283,797 | 308,115 | 294,946 | 11,600 | 19,509 | 11,817 | 23,331 | 3.8 | 6.9 | 3.8 | 7.9 |
Fayetteville |
150,076 | 139,130 | 149,011 | 143,068 | 8,097 | 13,632 | 8,442 | 16,666 | 5.4 | 9.8 | 5.7 | 11.6 |
Goldsboro |
52,481 | 47,117 | 52,517 | 48,216 | 2,344 | 3,254 | 2,410 | 3,945 | 4.5 | 6.9 | 4.6 | 8.2 |
Greensboro-High Point |
372,107 | 351,948 | 371,752 | 361,567 | 16,511 | 31,604 | 17,208 | 37,269 | 4.4 | 9.0 | 4.6 | 10.3 |
Greenville |
89,437 | 84,610 | 89,686 | 85,714 | 4,395 | 6,016 | 4,584 | 7,511 | 4.9 | 7.1 | 5.1 | 8.8 |
Hickory-Lenoir-Morganton |
176,861 | 161,963 | 176,537 | 166,984 | 7,100 | 12,854 | 7,215 | 15,099 | 4.0 | 7.9 | 4.1 | 9.0 |
Jacksonville |
65,496 | 61,681 | 63,597 | 64,183 | 3,251 | 4,435 | 3,296 | 5,298 | 5.0 | 7.2 | 5.2 | 8.3 |
New Bern |
52,674 | 48,880 | 53,020 | 50,621 | 2,295 | 3,155 | 2,337 | 3,773 | 4.4 | 6.5 | 4.4 | 7.5 |
Raleigh |
733,697 | 681,616 | 742,574 | 707,515 | 27,311 | 48,042 | 28,081 | 56,408 | 3.7 | 7.0 | 3.8 | 8.0 |
Rocky Mount |
64,333 | 60,640 | 65,126 | 63,807 | 3,640 | 5,790 | 3,788 | 7,229 | 5.7 | 9.5 | 5.8 | 11.3 |
Wilmington |
155,317 | 145,631 | 157,050 | 149,668 | 6,057 | 10,516 | 6,197 | 12,397 | 3.9 | 7.2 | 3.9 | 8.3 |
Winston-Salem |
333,315 | 310,928 | 333,585 | 319,173 | 13,342 | 24,020 | 13,650 | 28,313 | 4.0 | 7.7 | 4.1 | 8.9 |
North Dakota |
412,677 | 413,089 | 411,927 | 409,533 | 10,907 | 31,063 | 9,189 | 26,019 | 2.6 | 7.5 | 2.2 | 6.4 |
Bismarck |
68,843 | 69,246 | 69,683 | 70,037 | 1,851 | 4,249 | 1,516 | 3,439 | 2.7 | 6.1 | 2.2 | 4.9 |
Fargo |
139,329 | 142,844 | 140,281 | 141,738 | 3,374 | 9,112 | 2,999 | 7,290 | 2.4 | 6.4 | 2.1 | 5.1 |
Grand Forks |
54,236 | 54,916 | 53,690 | 53,888 | 1,706 | 3,842 | 1,518 | 3,146 | 3.1 | 7.0 | 2.8 | 5.8 |
Ohio |
5,844,525 | 5,855,106 | 5,884,316 | 5,727,517 | 253,781 | 650,488 | 266,365 | 521,299 | 4.3 | 11.1 | 4.5 | 9.1 |
Akron |
361,055 | 354,477 | 363,326 | 347,615 | 15,982 | 39,059 | 16,588 | 31,510 | 4.4 | 11.0 | 4.6 | 9.1 |
Canton-Massillon |
199,578 | 199,009 | 200,509 | 194,703 | 8,955 | 21,437 | 9,268 | 17,101 | 4.5 | 10.8 | 4.6 | 8.8 |
Cincinnati |
1,141,322 | 1,134,329 | 1,142,548 | 1,111,458 | 46,480 | 101,987 | 47,849 | 86,149 | 4.1 | 9.0 | 4.2 | 7.8 |
Cleveland-Elyria |
1,052,016 | 1,062,229 | 1,067,558 | 1,021,874 | 47,648 | 148,444 | 49,305 | 119,674 | 4.5 | 14.0 | 4.6 | 11.7 |
Columbus |
1,102,941 | 1,098,508 | 1,115,322 | 1,081,435 | 42,223 | 108,537 | 44,071 | 89,017 | 3.8 | 9.9 | 4.0 | 8.2 |
Dayton |
391,833 | 398,328 | 394,943 | 392,688 | 16,907 | 42,159 | 17,610 | 34,178 | 4.3 | 10.6 | 4.5 | 8.7 |
Lima |
48,341 | 48,582 | 48,641 | 47,436 | 2,066 | 5,320 | 2,308 | 4,114 | 4.3 | 11.0 | 4.7 | 8.7 |
Mansfield |
52,970 | 53,192 | 52,955 | 52,026 | 2,393 | 5,989 | 2,623 | 4,828 | 4.5 | 11.3 | 5.0 | 9.3 |
Springfield |
63,496 | 64,938 | 63,579 | 63,041 | 2,794 | 6,746 | 3,165 | 5,289 | 4.4 | 10.4 | 5.0 | 8.4 |
Toledo |
304,702 | 307,040 | 304,801 | 301,684 | 13,392 | 37,495 | 14,140 | 28,955 | 4.4 | 12.2 | 4.6 | 9.6 |
Weirton-Steubenville(1) |
51,333 | 51,324 | 51,703 | 50,226 | 2,871 | 6,285 | 2,959 | 5,375 | 5.6 | 12.2 | 5.7 | 10.7 |
Youngstown-Warren-Boardman |
241,561 | 235,137 | 242,305 | 229,183 | 14,073 | 31,482 | 14,853 | 27,028 | 5.8 | 13.4 | 6.1 | 11.8 |
Oklahoma |
1,854,443 | 1,781,678 | 1,850,754 | 1,812,336 | 65,316 | 119,135 | 62,846 | 128,819 | 3.5 | 6.7 | 3.4 | 7.1 |
Enid |
27,237 | 25,559 | 27,549 | 25,350 | 862 | 1,558 | 836 | 1,680 | 3.2 | 6.1 | 3.0 | 6.6 |
Lawton |
51,509 | 49,423 | 51,236 | 50,226 | 1,982 | 3,399 | 1,962 | 3,674 | 3.8 | 6.9 | 3.8 | 7.3 |
Oklahoma City |
688,604 | 671,010 | 690,680 | 678,629 | 22,521 | 46,174 | 21,612 | 48,165 | 3.3 | 6.9 | 3.1 | 7.1 |
Tulsa |
487,736 | 460,361 | 488,582 | 472,144 | 16,817 | 32,714 | 16,090 | 35,850 | 3.4 | 7.1 | 3.3 | 7.6 |
Oregon |
2,113,944 | 2,173,018 | 2,126,411 | 2,082,253 | 83,768 | 253,740 | 85,756 | 219,802 | 4.0 | 11.7 | 4.0 | 10.6 |
Albany |
58,902 | 60,898 | 58,253 | 57,916 | 2,687 | 6,754 | 2,792 | 6,067 | 4.6 | 11.1 | 4.8 | 10.5 |
Bend-Redmond |
97,100 | 99,338 | 97,698 | 94,470 | 3,783 | 12,208 | 3,679 | 10,035 | 3.9 | 12.3 | 3.8 | 10.6 |
Corvallis |
49,120 | 48,369 | 46,188 | 44,796 | 1,643 | 4,230 | 1,714 | 3,780 | 3.3 | 8.7 | 3.7 | 8.4 |
Eugene |
181,181 | 190,043 | 179,377 | 182,420 | 7,915 | 22,299 | 7,961 | 19,334 | 4.4 | 11.7 | 4.4 | 10.6 |
Grants Pass |
36,143 | 36,255 | 35,865 | 34,321 | 1,834 | 4,152 | 1,830 | 3,674 | 5.1 | 11.5 | 5.1 | 10.7 |
Medford |
103,596 | 106,434 | 103,568 | 102,087 | 4,815 | 12,642 | 5,322 | 11,144 | 4.6 | 11.9 | 5.1 | 10.9 |
Portland-Vancouver-Hillsboro |
1,322,096 | 1,363,261 | 1,331,809 | 1,325,165 | 50,589 | 160,767 | 50,689 | 147,477 | 3.8 | 11.8 | 3.8 | 11.1 |
Salem |
203,756 | 205,578 | 205,343 | 197,009 | 8,591 | 21,352 | 8,961 | 18,476 | 4.2 | 10.4 | 4.4 | 9.4 |
Pennsylvania |
6,514,786 | 6,414,146 | 6,581,549 | 6,555,812 | 287,947 | 855,034 | 321,521 | 922,435 | 4.4 | 13.3 | 4.9 | 14.1 |
Allentown-Bethlehem-Easton |
444,700 | 445,462 | 446,877 | 450,595 | 19,352 | 62,878 | 21,796 | 62,425 | 4.4 | 14.1 | 4.9 | 13.9 |
Altoona |
60,402 | 59,044 | 60,843 | 60,254 | 2,820 | 7,006 | 3,270 | 7,931 | 4.7 | 11.9 | 5.4 | 13.2 |
Bloomsburg-Berwick |
42,373 | 42,404 | 42,846 | 43,348 | 1,975 | 4,323 | 2,149 | 4,813 | 4.7 | 10.2 | 5.0 | 11.1 |
Chambersburg-Waynesboro |
78,317 | 77,058 | 79,077 | 78,410 | 2,997 | 8,896 | 3,475 | 9,570 | 3.8 | 11.5 | 4.4 | 12.2 |
East Stroudsburg |
83,661 | 81,614 | 84,978 | 82,318 | 4,449 | 14,903 | 4,959 | 14,255 | 5.3 | 18.3 | 5.8 | 17.3 |
Erie |
129,310 | 125,679 | 130,267 | 128,366 | 6,025 | 18,314 | 6,603 | 19,346 | 4.7 | 14.6 | 5.1 | 15.1 |
Gettysburg |
55,868 | 55,715 | 56,165 | 56,167 | 1,907 | 5,779 | 2,190 | 5,796 | 3.4 | 10.4 | 3.9 | 10.3 |
Harrisburg-Carlisle |
304,772 | 302,487 | 309,299 | 309,821 | 11,858 | 35,222 | 13,111 | 36,454 | 3.9 | 11.6 | 4.2 | 11.8 |
Johnstown |
58,485 | 55,588 | 58,394 | 57,418 | 3,419 | 7,181 | 3,653 | 8,359 | 5.8 | 12.9 | 6.3 | 14.6 |
Lancaster |
288,734 | 292,019 | 292,146 | 298,444 | 10,432 | 33,298 | 11,839 | 33,570 | 3.6 | 11.4 | 4.1 | 11.2 |
Lebanon |
73,742 | 72,919 | 74,280 | 73,545 | 2,920 | 8,698 | 3,170 | 8,846 | 4.0 | 11.9 | 4.3 | 12.0 |
Philadelphia-Camden-Wilmington |
3,125,601 | 3,126,319 | 3,155,369 | 3,187,644 | 128,623 | 450,816 | 146,781 | 449,589 | 4.1 | 14.4 | 4.7 | 14.1 |
Pittsburgh |
1,216,835 | 1,185,405 | 1,228,656 | 1,220,757 | 53,680 | 152,633 | 58,524 | 176,731 | 4.4 | 12.9 | 4.8 | 14.5 |
Reading |
217,595 | 225,603 | 219,663 | 229,109 | 9,672 | 29,749 | 10,635 | 30,691 | 4.4 | 13.2 | 4.8 | 13.4 |
Scranton--Wilkes-Barre--Hazleton |
275,810 | 266,552 | 278,675 | 268,985 | 14,536 | 40,808 | 16,290 | 42,310 | 5.3 | 15.3 | 5.8 | 15.7 |
State College |
76,322 | 73,589 | 77,590 | 75,437 | 2,752 | 6,317 | 3,207 | 7,225 | 3.6 | 8.6 | 4.1 | 9.6 |
Williamsport |
56,896 | 52,529 | 57,189 | 53,378 | 2,628 | 6,535 | 2,826 | 7,171 | 4.6 | 12.4 | 4.9 | 13.4 |
York-Hanover |
237,121 | 235,823 | 239,871 | 238,292 | 9,686 | 27,529 | 10,761 | 28,611 | 4.1 | 11.7 | 4.5 | 12.0 |
Rhode Island |
557,755 | 555,237 | 562,181 | 564,178 | 18,645 | 68,286 | 21,801 | 64,357 | 3.3 | 12.3 | 3.9 | 11.4 |
Providence-Warwick |
693,435 | 692,053 | 696,920 | 698,980 | 23,768 | 95,090 | 26,907 | 87,786 | 3.4 | 13.7 | 3.9 | 12.6 |
South Carolina |
2,400,898 | 2,468,874 | 2,402,172 | 2,484,700 | 75,412 | 220,259 | 72,245 | 219,673 | 3.1 | 8.9 | 3.0 | 8.8 |
Charleston-North Charleston |
399,829 | 407,682 | 401,657 | 411,389 | 10,603 | 36,868 | 10,254 | 37,680 | 2.7 | 9.0 | 2.6 | 9.2 |
Columbia |
404,598 | 412,852 | 406,952 | 418,343 | 12,295 | 32,136 | 11,657 | 32,419 | 3.0 | 7.8 | 2.9 | 7.7 |
Florence |
98,716 | 103,316 | 98,648 | 104,237 | 3,391 | 8,473 | 3,252 | 8,781 | 3.4 | 8.2 | 3.3 | 8.4 |
Greenville-Anderson-Mauldin |
438,105 | 455,006 | 438,913 | 457,562 | 12,675 | 38,104 | 11,932 | 36,248 | 2.9 | 8.4 | 2.7 | 7.9 |
Hilton Head Island-Bluffton-Beaufort |
92,852 | 95,842 | 93,565 | 97,676 | 2,758 | 7,111 | 2,659 | 6,881 | 3.0 | 7.4 | 2.8 | 7.0 |
Myrtle Beach-Conway-North Myrtle Beach |
212,728 | 209,321 | 214,409 | 209,023 | 8,411 | 22,232 | 8,168 | 22,181 | 4.0 | 10.6 | 3.8 | 10.6 |
Spartanburg |
166,033 | 173,463 | 165,533 | 170,593 | 5,051 | 17,564 | 4,792 | 16,965 | 3.0 | 10.1 | 2.9 | 9.9 |
Sumter |
44,112 | 45,943 | 43,834 | 46,245 | 1,663 | 4,025 | 1,577 | 4,505 | 3.8 | 8.8 | 3.6 | 9.7 |
South Dakota |
470,901 | 476,205 | 471,856 | 474,154 | 15,018 | 33,606 | 14,359 | 28,498 | 3.2 | 7.1 | 3.0 | 6.0 |
Rapid City |
77,299 | 76,891 | 77,917 | 76,334 | 2,551 | 6,329 | 2,358 | 5,158 | 3.3 | 8.2 | 3.0 | 6.8 |
Sioux Falls |
156,797 | 161,138 | 157,811 | 160,033 | 4,164 | 10,814 | 3,778 | 8,846 | 2.7 | 6.7 | 2.4 | 5.5 |
Tennessee |
3,372,213 | 3,202,728 | 3,377,806 | 3,173,394 | 131,488 | 322,865 | 132,139 | 315,241 | 3.9 | 10.1 | 3.9 | 9.9 |
Chattanooga |
280,189 | 271,665 | 280,166 | 273,079 | 10,486 | 22,031 | 10,620 | 21,573 | 3.7 | 8.1 | 3.8 | 7.9 |
Clarksville |
117,764 | 114,188 | 118,623 | 109,741 | 5,759 | 10,032 | 5,813 | 10,047 | 4.9 | 8.8 | 4.9 | 9.2 |
Cleveland |
59,810 | 58,672 | 60,432 | 58,013 | 2,506 | 4,950 | 2,567 | 4,975 | 4.2 | 8.4 | 4.2 | 8.6 |
Jackson |
66,091 | 61,694 | 66,016 | 61,474 | 2,681 | 5,769 | 2,629 | 5,810 | 4.1 | 9.4 | 4.0 | 9.5 |
Johnson City |
91,599 | 86,645 | 92,116 | 85,143 | 3,980 | 7,682 | 3,967 | 7,246 | 4.3 | 8.9 | 4.3 | 8.5 |
Kingsport-Bristol-Bristol |
139,257 | 131,485 | 138,594 | 130,487 | 5,784 | 11,910 | 5,850 | 11,457 | 4.2 | 9.1 | 4.2 | 8.8 |
Knoxville |
436,264 | 412,091 | 437,431 | 409,283 | 16,719 | 33,423 | 16,709 | 32,225 | 3.8 | 8.1 | 3.8 | 7.9 |
Memphis |
651,549 | 619,634 | 653,760 | 628,584 | 31,456 | 73,465 | 31,038 | 81,971 | 4.8 | 11.9 | 4.7 | 13.0 |
Morristown |
53,423 | 51,201 | 53,205 | 50,954 | 2,317 | 4,807 | 2,301 | 4,519 | 4.3 | 9.4 | 4.3 | 8.9 |
Nashville-Davidson--Murfreesboro--Franklin |
1,102,056 | 1,043,045 | 1,103,447 | 1,027,942 | 33,493 | 106,138 | 33,554 | 100,840 | 3.0 | 10.2 | 3.0 | 9.8 |
Texas |
14,009,283 | 13,804,456 | 14,064,960 | 13,846,028 | 520,024 | 1,197,957 | 540,487 | 1,140,101 | 3.7 | 8.7 | 3.8 | 8.2 |
Abilene |
78,274 | 76,433 | 78,826 | 77,159 | 2,553 | 4,815 | 2,621 | 4,587 | 3.3 | 6.3 | 3.3 | 5.9 |
Amarillo |
131,854 | 125,167 | 132,139 | 125,356 | 3,661 | 7,371 | 3,825 | 6,436 | 2.8 | 5.9 | 2.9 | 5.1 |
Austin-Round Rock |
1,234,994 | 1,215,025 | 1,240,719 | 1,225,085 | 34,716 | 88,628 | 36,333 | 81,942 | 2.8 | 7.3 | 2.9 | 6.7 |
Beaumont-Port Arthur |
173,250 | 167,609 | 172,969 | 168,490 | 10,124 | 20,927 | 10,826 | 20,115 | 5.8 | 12.5 | 6.3 | 11.9 |
Brownsville-Harlingen |
167,285 | 163,091 | 167,732 | 164,664 | 9,663 | 17,741 | 9,943 | 18,180 | 5.8 | 10.9 | 5.9 | 11.0 |
College Station-Bryan |
130,319 | 131,734 | 130,393 | 132,611 | 4,153 | 8,319 | 4,211 | 7,659 | 3.2 | 6.3 | 3.2 | 5.8 |
Corpus Christi |
206,451 | 200,114 | 206,849 | 201,053 | 9,325 | 19,690 | 9,536 | 20,119 | 4.5 | 9.8 | 4.6 | 10.0 |
Dallas-Fort Worth-Arlington |
3,960,641 | 3,945,263 | 3,987,104 | 3,946,657 | 136,815 | 323,218 | 141,791 | 296,368 | 3.5 | 8.2 | 3.6 | 7.5 |
El Paso |
360,048 | 357,058 | 362,073 | 358,376 | 14,614 | 34,030 | 14,909 | 31,205 | 4.1 | 9.5 | 4.1 | 8.7 |
Houston-The Woodlands-Sugar Land |
3,420,393 | 3,380,586 | 3,434,101 | 3,386,174 | 135,598 | 328,034 | 141,120 | 319,349 | 4.0 | 9.7 | 4.1 | 9.4 |
Killeen-Temple |
176,330 | 171,917 | 177,281 | 174,470 | 7,135 | 13,207 | 7,360 | 12,401 | 4.0 | 7.7 | 4.2 | 7.1 |
Laredo |
118,663 | 114,967 | 118,394 | 115,608 | 4,730 | 11,231 | 4,794 | 10,562 | 4.0 | 9.8 | 4.0 | 9.1 |
Longview |
98,958 | 94,648 | 99,408 | 95,031 | 3,762 | 8,404 | 3,984 | 8,046 | 3.8 | 8.9 | 4.0 | 8.5 |
Lubbock |
163,106 | 157,100 | 163,564 | 159,034 | 5,321 | 10,450 | 5,547 | 10,139 | 3.3 | 6.7 | 3.4 | 6.4 |
McAllen-Edinburg-Mission |
351,385 | 352,048 | 348,112 | 350,956 | 22,911 | 43,512 | 24,070 | 43,966 | 6.5 | 12.4 | 6.9 | 12.5 |
Midland |
110,115 | 102,532 | 111,590 | 102,658 | 2,365 | 9,735 | 2,485 | 9,618 | 2.1 | 9.5 | 2.2 | 9.4 |
Odessa |
87,649 | 85,354 | 88,454 | 85,549 | 2,397 | 10,802 | 2,521 | 10,761 | 2.7 | 12.7 | 2.9 | 12.6 |
San Angelo |
55,148 | 51,813 | 54,830 | 52,010 | 1,804 | 3,968 | 1,870 | 3,816 | 3.3 | 7.7 | 3.4 | 7.3 |
San Antonio-New Braunfels |
1,202,628 | 1,194,204 | 1,208,286 | 1,194,989 | 39,735 | 98,832 | 41,391 | 94,488 | 3.3 | 8.3 | 3.4 | 7.9 |
Sherman-Denison |
64,188 | 63,096 | 64,573 | 63,671 | 2,062 | 4,150 | 2,117 | 3,757 | 3.2 | 6.6 | 3.3 | 5.9 |
Texarkana |
66,014 | 63,988 | 65,231 | 64,087 | 3,015 | 5,252 | 3,135 | 4,842 | 4.6 | 8.2 | 4.8 | 7.6 |
Tyler |
107,044 | 105,750 | 107,191 | 106,147 | 3,795 | 8,232 | 3,915 | 7,605 | 3.5 | 7.8 | 3.7 | 7.2 |
Victoria |
45,954 | 44,097 | 46,037 | 44,880 | 1,646 | 3,868 | 1,696 | 4,222 | 3.6 | 8.8 | 3.7 | 9.4 |
Waco |
126,235 | 124,623 | 127,231 | 126,324 | 4,608 | 8,550 | 4,776 | 8,231 | 3.7 | 6.9 | 3.8 | 6.5 |
Wichita Falls |
65,559 | 62,042 | 65,622 | 63,009 | 2,273 | 4,425 | 2,340 | 4,469 | 3.5 | 7.1 | 3.6 | 7.1 |
Utah |
1,612,516 | 1,627,388 | 1,616,418 | 1,632,582 | 48,104 | 92,601 | 43,635 | 75,140 | 3.0 | 5.7 | 2.7 | 4.6 |
Logan |
70,907 | 70,309 | 68,017 | 69,376 | 1,800 | 2,529 | 1,646 | 1,886 | 2.5 | 3.6 | 2.4 | 2.7 |
Ogden-Clearfield |
335,168 | 343,824 | 337,708 | 344,558 | 9,889 | 17,316 | 9,048 | 13,632 | 3.0 | 5.0 | 2.7 | 4.0 |
Provo-Orem |
310,895 | 316,654 | 310,745 | 315,453 | 8,797 | 14,059 | 8,070 | 11,367 | 2.8 | 4.4 | 2.6 | 3.6 |
St. George |
75,145 | 77,737 | 76,101 | 77,962 | 2,569 | 4,859 | 2,401 | 4,027 | 3.4 | 6.3 | 3.2 | 5.2 |
Salt Lake City |
672,410 | 669,873 | 676,600 | 677,351 | 19,594 | 43,052 | 17,666 | 35,676 | 2.9 | 6.4 | 2.6 | 5.3 |
Vermont |
346,954 | 345,686 | 346,705 | 343,764 | 8,577 | 32,872 | 8,209 | 28,096 | 2.5 | 9.5 | 2.4 | 8.2 |
Burlington-South Burlington |
126,985 | 124,920 | 127,289 | 124,218 | 2,731 | 10,816 | 2,589 | 9,384 | 2.2 | 8.7 | 2.0 | 7.6 |
Virginia |
4,434,710 | 4,348,216 | 4,465,718 | 4,374,802 | 129,920 | 358,528 | 131,979 | 352,026 | 2.9 | 8.2 | 3.0 | 8.0 |
Blacksburg-Christiansburg-Radford |
89,081 | 83,396 | 89,742 | 85,030 | 2,954 | 6,244 | 2,957 | 5,909 | 3.3 | 7.5 | 3.3 | 6.9 |
Charlottesville |
123,644 | 121,552 | 123,017 | 119,984 | 3,466 | 9,577 | 3,451 | 9,075 | 2.8 | 7.9 | 2.8 | 7.6 |
Harrisonburg |
66,483 | 63,861 | 66,640 | 64,240 | 2,059 | 4,941 | 2,025 | 4,308 | 3.1 | 7.7 | 3.0 | 6.7 |
Lynchburg |
123,657 | 118,831 | 124,154 | 121,105 | 4,440 | 9,269 | 4,501 | 9,102 | 3.6 | 7.8 | 3.6 | 7.5 |
Richmond |
690,643 | 678,528 | 697,236 | 686,216 | 21,367 | 60,691 | 21,943 | 60,965 | 3.1 | 8.9 | 3.1 | 8.9 |
Roanoke |
157,975 | 152,250 | 159,553 | 155,066 | 4,780 | 12,075 | 4,739 | 11,913 | 3.0 | 7.9 | 3.0 | 7.7 |
Staunton-Waynesboro |
60,950 | 62,155 | 61,042 | 63,236 | 1,651 | 4,272 | 1,623 | 3,977 | 2.7 | 6.9 | 2.7 | 6.3 |
Virginia Beach-Norfolk-Newport News |
866,525 | 856,185 | 874,949 | 872,954 | 27,796 | 78,752 | 28,394 | 81,372 | 3.2 | 9.2 | 3.2 | 9.3 |
Winchester |
74,444 | 71,081 | 75,022 | 70,977 | 2,133 | 4,901 | 2,121 | 4,409 | 2.9 | 6.9 | 2.8 | 6.2 |
Washington |
3,919,625 | 3,906,162 | 3,944,959 | 3,994,934 | 164,802 | 386,218 | 164,164 | 405,529 | 4.2 | 9.9 | 4.2 | 10.2 |
Bellingham |
115,468 | 118,358 | 115,641 | 121,221 | 5,880 | 12,184 | 5,730 | 14,272 | 5.1 | 10.3 | 5.0 | 11.8 |
Bremerton-Silverdale |
127,845 | 132,005 | 128,283 | 135,709 | 6,152 | 10,797 | 5,880 | 12,829 | 4.8 | 8.2 | 4.6 | 9.5 |
Kennewick-Richland |
152,203 | 148,517 | 151,057 | 157,337 | 7,647 | 14,202 | 7,315 | 17,073 | 5.0 | 9.6 | 4.8 | 10.9 |
Longview |
47,638 | 48,978 | 47,659 | 50,882 | 2,966 | 4,828 | 2,802 | 5,844 | 6.2 | 9.9 | 5.9 | 11.5 |
Mount Vernon-Anacortes |
63,521 | 63,673 | 63,642 | 65,887 | 3,463 | 7,089 | 3,323 | 8,036 | 5.5 | 11.1 | 5.2 | 12.2 |
Olympia-Tumwater |
141,189 | 145,372 | 141,080 | 149,863 | 7,047 | 12,901 | 6,807 | 15,594 | 5.0 | 8.9 | 4.8 | 10.4 |
Seattle-Tacoma-Bellevue |
2,163,471 | 2,169,968 | 2,179,576 | 2,197,638 | 72,654 | 217,881 | 75,320 | 203,951 | 3.4 | 10.0 | 3.5 | 9.3 |
Spokane-Spokane Valley |
276,986 | 275,026 | 275,297 | 285,607 | 14,587 | 26,636 | 14,144 | 32,702 | 5.3 | 9.7 | 5.1 | 11.4 |
Walla Walla |
32,364 | 31,226 | 32,424 | 32,057 | 1,587 | 2,111 | 1,564 | 2,717 | 4.9 | 6.8 | 4.8 | 8.5 |
Wenatchee |
70,716 | 65,115 | 77,169 | 67,316 | 3,067 | 6,365 | 2,901 | 6,746 | 4.3 | 9.8 | 3.8 | 10.0 |
Yakima |
140,204 | 131,160 | 140,212 | 138,416 | 8,176 | 14,416 | 7,727 | 17,394 | 5.8 | 11.0 | 5.5 | 12.6 |
West Virginia |
806,744 | 778,147 | 805,335 | 767,127 | 39,694 | 82,044 | 38,061 | 74,462 | 4.9 | 10.5 | 4.7 | 9.7 |
Beckley |
47,735 | 47,712 | 47,627 | 46,956 | 2,367 | 5,322 | 2,279 | 4,788 | 5.0 | 11.2 | 4.8 | 10.2 |
Charleston |
94,941 | 93,722 | 94,839 | 92,082 | 4,501 | 10,911 | 4,305 | 9,853 | 4.7 | 11.6 | 4.5 | 10.7 |
Huntington-Ashland |
147,578 | 147,491 | 147,572 | 144,285 | 7,958 | 13,934 | 7,736 | 12,871 | 5.4 | 9.4 | 5.2 | 8.9 |
Morgantown |
68,595 | 68,495 | 69,840 | 68,188 | 2,914 | 6,394 | 2,718 | 5,849 | 4.2 | 9.3 | 3.9 | 8.6 |
Parkersburg-Vienna |
39,627 | 39,723 | 39,469 | 39,242 | 2,052 | 4,073 | 1,976 | 3,840 | 5.2 | 10.3 | 5.0 | 9.8 |
Wheeling |
66,859 | 63,274 | 66,951 | 60,953 | 3,378 | 7,449 | 3,331 | 6,350 | 5.1 | 11.8 | 5.0 | 10.4 |
Wisconsin |
3,150,680 | 3,107,071 | 3,150,096 | 3,066,529 | 117,562 | 275,154 | 113,279 | 214,862 | 3.7 | 8.9 | 3.6 | 7.0 |
Appleton |
133,280 | 129,162 | 133,137 | 127,066 | 4,485 | 9,810 | 4,346 | 7,535 | 3.4 | 7.6 | 3.3 | 5.9 |
Eau Claire |
91,934 | 90,438 | 92,191 | 88,580 | 3,348 | 7,617 | 3,201 | 5,932 | 3.6 | 8.4 | 3.5 | 6.7 |
Fond du Lac |
58,938 | 59,476 | 58,289 | 57,440 | 1,976 | 4,926 | 1,936 | 3,353 | 3.4 | 8.3 | 3.3 | 5.8 |
Green Bay |
176,162 | 174,375 | 175,342 | 171,606 | 6,375 | 15,055 | 6,128 | 11,301 | 3.6 | 8.6 | 3.5 | 6.6 |
Janesville-Beloit |
86,443 | 84,555 | 87,131 | 84,265 | 3,594 | 8,332 | 3,485 | 6,924 | 4.2 | 9.9 | 4.0 | 8.2 |
La Crosse-Onalaska |
76,422 | 75,378 | 76,355 | 73,768 | 2,664 | 5,684 | 2,396 | 4,319 | 3.5 | 7.5 | 3.1 | 5.9 |
Madison |
391,595 | 373,682 | 394,057 | 370,524 | 12,019 | 27,981 | 10,693 | 21,677 | 3.1 | 7.5 | 2.7 | 5.9 |
Milwaukee-Waukesha-West Allis |
824,342 | 827,996 | 829,116 | 817,705 | 33,812 | 84,370 | 33,455 | 69,007 | 4.1 | 10.2 | 4.0 | 8.4 |
Oshkosh-Neenah |
92,133 | 91,277 | 92,662 | 90,589 | 3,268 | 7,161 | 3,135 | 5,464 | 3.5 | 7.8 | 3.4 | 6.0 |
Racine |
99,883 | 102,241 | 100,573 | 100,512 | 4,385 | 9,632 | 4,628 | 7,757 | 4.4 | 9.4 | 4.6 | 7.7 |
Sheboygan |
63,844 | 63,542 | 64,099 | 61,704 | 2,061 | 5,083 | 1,893 | 3,802 | 3.2 | 8.0 | 3.0 | 6.2 |
Wausau |
74,620 | 74,270 | 74,468 | 72,347 | 2,459 | 5,137 | 2,375 | 3,953 | 3.3 | 6.9 | 3.2 | 5.5 |
Wyoming |
297,410 | 300,957 | 298,084 | 299,787 | 10,840 | 22,898 | 10,633 | 20,266 | 3.6 | 7.6 | 3.6 | 6.8 |
Casper |
39,460 | 40,362 | 39,751 | 40,065 | 1,600 | 4,390 | 1,454 | 4,090 | 4.1 | 10.9 | 3.7 | 10.2 |
Cheyenne |
48,383 | 49,919 | 49,052 | 49,070 | 1,748 | 3,348 | 1,654 | 2,864 | 3.6 | 6.7 | 3.4 | 5.8 |
Puerto Rico |
1,113,225 | 1,063,390 | 1,105,444 | 1,042,138 | 89,438 | 90,194 | 86,848 | 75,757 | 8.0 | 8.5 | 7.9 | 7.3 |
Aguadilla-Isabela |
87,896 | 82,028 | 87,467 | 80,283 | 9,422 | 7,708 | 8,958 | 6,440 | 10.7 | 9.4 | 10.2 | 8.0 |
Arecibo |
53,747 | 52,529 | 53,871 | 51,800 | 5,146 | 4,555 | 4,932 | 3,750 | 9.6 | 8.7 | 9.2 | 7.2 |
Guayama |
20,490 | 18,749 | 19,962 | 18,387 | 2,637 | 1,582 | 2,461 | 1,326 | 12.9 | 8.4 | 12.3 | 7.2 |
Mayaguez |
27,998 | 25,864 | 27,890 | 25,507 | 2,775 | 2,225 | 2,789 | 1,804 | 9.9 | 8.6 | 10.0 | 7.1 |
Ponce |
94,817 | 88,532 | 94,084 | 87,327 | 10,420 | 7,538 | 9,763 | 6,460 | 11.0 | 8.5 | 10.4 | 7.4 |
San German |
35,242 | 33,087 | 35,123 | 32,294 | 3,794 | 2,878 | 3,829 | 2,410 | 10.8 | 8.7 | 10.9 | 7.5 |
San Juan-Carolina-Caguas |
750,228 | 723,545 | 745,594 | 708,940 | 50,236 | 60,277 | 49,363 | 50,541 | 6.7 | 8.3 | 6.6 | 7.1 |
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 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
June | July | Number | Percent of labor force | |||||||||
2019 | 2020 | 2019 | 2020(p) | June | July | June | July | |||||
2019 | 2020 | 2019 | 2020(p) | 2019 | 2020 | 2019 | 2020(p) | |||||
California |
19,325,538 | 18,928,353 | 19,465,613 | 18,885,235 | 794,837 | 2,852,147 | 857,771 | 2,591,029 | 4.1 | 15.1 | 4.4 | 13.7 |
Los Angeles-Long Beach-Anaheim |
6,692,809 | 6,519,105 | 6,756,753 | 6,518,559 | 274,997 | 1,183,160 | 306,734 | 1,091,896 | 4.1 | 18.1 | 4.5 | 16.8 |
Anaheim-Santa Ana-Irvine |
1,613,664 | 1,594,642 | 1,626,509 | 1,578,565 | 47,266 | 217,619 | 50,739 | 194,384 | 2.9 | 13.6 | 3.1 | 12.3 |
Los Angeles-Long Beach-Glendale |
5,079,145 | 4,924,463 | 5,130,244 | 4,939,994 | 227,731 | 965,541 | 255,995 | 897,512 | 4.5 | 19.6 | 5.0 | 18.2 |
San Francisco-Oakland-Hayward |
2,574,357 | 2,515,621 | 2,606,919 | 2,518,800 | 70,861 | 316,885 | 75,680 | 279,148 | 2.8 | 12.6 | 2.9 | 11.1 |
Oakland-Hayward-Berkeley |
1,399,750 | 1,370,978 | 1,414,027 | 1,366,225 | 44,067 | 184,502 | 47,278 | 163,585 | 3.1 | 13.5 | 3.3 | 12.0 |
San Francisco-Redwood City-South San Francisco |
1,035,359 | 1,011,672 | 1,051,513 | 1,018,851 | 23,442 | 118,957 | 24,805 | 103,821 | 2.3 | 11.8 | 2.4 | 10.2 |
San Rafael |
139,248 | 132,971 | 141,379 | 133,724 | 3,352 | 13,426 | 3,597 | 11,742 | 2.4 | 10.1 | 2.5 | 8.8 |
District of Columbia |
412,636 | 396,821 | 416,468 | 399,066 | 24,062 | 36,049 | 24,138 | 35,347 | 5.8 | 9.1 | 5.8 | 8.9 |
Washington-Arlington-Alexandria(2) |
3,489,162 | 3,442,338 | 3,527,506 | 3,453,634 | 115,882 | 286,709 | 116,169 | 271,924 | 3.3 | 8.3 | 3.3 | 7.9 |
Silver Spring-Frederick-Rockville(3) |
705,686 | 699,886 | 714,702 | 717,618 | 23,350 | 56,915 | 23,162 | 52,400 | 3.3 | 8.1 | 3.2 | 7.3 |
Washington-Arlington-Alexandria(2) |
2,783,476 | 2,742,452 | 2,812,804 | 2,736,016 | 92,532 | 229,794 | 93,007 | 219,524 | 3.3 | 8.4 | 3.3 | 8.0 |
Florida |
10,318,834 | 9,769,147 | 10,372,151 | 10,032,703 | 344,231 | 1,027,965 | 350,600 | 1,157,494 | 3.3 | 10.5 | 3.4 | 11.5 |
Miami-Fort Lauderdale-West Palm Beach |
3,144,322 | 2,951,277 | 3,165,320 | 3,038,739 | 93,941 | 336,984 | 96,275 | 402,316 | 3.0 | 11.4 | 3.0 | 13.2 |
Fort Lauderdale-Pompano Beach-Deerfield Beach |
1,042,537 | 994,236 | 1,046,699 | 1,016,525 | 33,791 | 117,061 | 34,231 | 133,366 | 3.2 | 11.8 | 3.3 | 13.1 |
Miami-Miami Beach-Kendall |
1,369,579 | 1,278,344 | 1,384,625 | 1,332,895 | 34,494 | 150,853 | 35,504 | 188,849 | 2.5 | 11.8 | 2.6 | 14.2 |
West Palm Beach-Boca Raton-Delray Beach |
732,206 | 678,697 | 733,996 | 689,319 | 25,656 | 69,070 | 26,540 | 80,101 | 3.5 | 10.2 | 3.6 | 11.6 |
Illinois |
6,517,399 | 6,569,589 | 6,534,712 | 6,314,164 | 267,575 | 957,765 | 276,947 | 715,559 | 4.1 | 14.6 | 4.2 | 11.3 |
Chicago-Naperville-Elgin(2) |
4,930,924 | 5,012,431 | 4,935,559 | 4,797,284 | 200,045 | 779,102 | 202,248 | 573,930 | 4.1 | 15.5 | 4.1 | 12.0 |
Chicago-Naperville-Arlington Heights |
3,778,783 | 3,875,459 | 3,776,587 | 3,690,126 | 154,332 | 633,237 | 153,302 | 465,248 | 4.1 | 16.3 | 4.1 | 12.6 |
Elgin |
331,558 | 321,650 | 334,425 | 314,054 | 13,179 | 42,259 | 14,381 | 32,262 | 4.0 | 13.1 | 4.3 | 10.3 |
Gary(3) |
346,087 | 354,847 | 345,937 | 342,415 | 14,799 | 51,901 | 15,750 | 36,190 | 4.3 | 14.6 | 4.6 | 10.6 |
Lake County-Kenosha County(2) |
474,496 | 460,475 | 478,610 | 450,689 | 17,735 | 51,705 | 18,815 | 40,230 | 3.7 | 11.2 | 3.9 | 8.9 |
Massachusetts |
3,851,461 | 3,726,254 | 3,865,262 | 3,722,933 | 120,601 | 664,413 | 121,141 | 602,132 | 3.1 | 17.8 | 3.1 | 16.2 |
Boston-Cambridge-Nashua(2) |
2,852,718 | 2,748,221 | 2,858,404 | 2,748,032 | 82,005 | 468,361 | 82,841 | 424,833 | 2.9 | 17.0 | 2.9 | 15.5 |
Boston-Cambridge-Newton |
1,703,502 | 1,629,763 | 1,709,002 | 1,632,697 | 46,630 | 275,686 | 46,711 | 252,589 | 2.7 | 16.9 | 2.7 | 15.5 |
Brockton-Bridgewater-Easton |
112,317 | 112,885 | 112,504 | 111,780 | 3,909 | 23,991 | 4,069 | 21,497 | 3.5 | 21.3 | 3.6 | 19.2 |
Framingham |
164,854 | 157,483 | 165,037 | 157,668 | 4,283 | 23,590 | 4,380 | 21,467 | 2.6 | 15.0 | 2.7 | 13.6 |
Haverhill-Newburyport-Amesbury Town(2) |
121,291 | 113,380 | 121,151 | 113,783 | 3,485 | 17,602 | 3,521 | 15,619 | 2.9 | 15.5 | 2.9 | 13.7 |
Lawrence-Methuen Town-Salem(2) |
100,438 | 103,025 | 100,273 | 102,252 | 4,237 | 24,167 | 4,110 | 21,893 | 4.2 | 23.5 | 4.1 | 21.4 |
Lowell-Billerica-Chelmsford(2) |
200,623 | 191,363 | 200,742 | 189,933 | 6,098 | 32,746 | 6,337 | 28,971 | 3.0 | 17.1 | 3.2 | 15.3 |
Lynn-Saugus-Marblehead |
87,807 | 89,214 | 88,041 | 87,787 | 2,796 | 19,758 | 2,816 | 17,568 | 3.2 | 22.1 | 3.2 | 20.0 |
Nashua(2) |
179,349 | 169,904 | 178,889 | 172,272 | 4,781 | 16,531 | 5,063 | 14,862 | 2.7 | 9.7 | 2.8 | 8.6 |
Peabody-Salem-Beverly |
94,478 | 94,312 | 95,039 | 93,788 | 2,809 | 17,611 | 2,775 | 15,544 | 3.0 | 18.7 | 2.9 | 16.6 |
Taunton-Middleborough-Norton |
88,059 | 86,892 | 87,726 | 86,072 | 2,977 | 16,679 | 3,059 | 14,823 | 3.4 | 19.2 | 3.5 | 17.2 |
Michigan |
4,971,319 | 4,987,986 | 4,995,452 | 4,872,075 | 212,011 | 748,153 | 252,608 | 463,381 | 4.3 | 15.0 | 5.1 | 9.5 |
Detroit-Warren-Dearborn |
2,159,216 | 2,050,504 | 2,192,505 | 2,041,892 | 95,839 | 368,458 | 116,168 | 205,978 | 4.4 | 18.0 | 5.3 | 10.1 |
Detroit-Dearborn-Livonia |
804,409 | 780,788 | 820,208 | 769,014 | 42,322 | 161,925 | 53,463 | 95,382 | 5.3 | 20.7 | 6.5 | 12.4 |
Warren-Troy-Farmington Hills |
1,354,808 | 1,269,715 | 1,372,297 | 1,272,879 | 53,517 | 206,533 | 62,705 | 110,597 | 4.0 | 16.3 | 4.6 | 8.7 |
New York |
9,538,972 | 9,438,251 | 9,596,950 | 9,688,730 | 363,430 | 1,461,408 | 400,342 | 1,548,633 | 3.8 | 15.5 | 4.2 | 16.0 |
New York-Newark-Jersey City(2) |
9,961,096 | 9,902,832 | 10,041,853 | 10,094,064 | 353,469 | 1,687,395 | 401,529 | 1,651,128 | 3.5 | 17.0 | 4.0 | 16.4 |
Dutchess County-Putnam County |
195,887 | 193,631 | 198,029 | 200,882 | 6,977 | 21,911 | 7,466 | 25,033 | 3.6 | 11.3 | 3.8 | 12.5 |
Nassau County-Suffolk County |
1,504,901 | 1,494,557 | 1,512,591 | 1,554,847 | 50,916 | 191,311 | 57,888 | 215,128 | 3.4 | 12.8 | 3.8 | 13.8 |
Newark(3) |
1,239,114 | 1,252,014 | 1,252,776 | 1,271,671 | 41,763 | 198,928 | 49,583 | 174,427 | 3.4 | 15.9 | 4.0 | 13.7 |
New York-Jersey City-White Plains(2) |
7,021,194 | 6,962,630 | 7,078,457 | 7,066,664 | 253,813 | 1,275,245 | 286,592 | 1,236,540 | 3.6 | 18.3 | 4.0 | 17.5 |
Pennsylvania |
6,514,786 | 6,414,146 | 6,581,549 | 6,555,812 | 287,947 | 855,034 | 321,521 | 922,435 | 4.4 | 13.3 | 4.9 | 14.1 |
Philadelphia-Camden-Wilmington(2) |
3,125,601 | 3,126,319 | 3,155,369 | 3,187,644 | 128,623 | 450,816 | 146,781 | 449,589 | 4.1 | 14.4 | 4.7 | 14.1 |
Camden(3) |
632,427 | 653,019 | 636,033 | 652,195 | 21,517 | 100,920 | 26,049 | 84,760 | 3.4 | 15.5 | 4.1 | 13.0 |
Montgomery County-Bucks County-Chester County |
1,096,775 | 1,052,265 | 1,111,446 | 1,073,551 | 38,310 | 125,528 | 44,932 | 129,686 | 3.5 | 11.9 | 4.0 | 12.1 |
Philadelphia |
1,015,771 | 1,042,450 | 1,025,225 | 1,070,400 | 53,083 | 177,443 | 59,498 | 193,916 | 5.2 | 17.0 | 5.8 | 18.1 |
Wilmington(3) |
380,628 | 378,585 | 382,665 | 391,498 | 15,713 | 46,925 | 16,302 | 41,227 | 4.1 | 12.4 | 4.3 | 10.5 |
Texas |
14,009,283 | 13,804,456 | 14,064,960 | 13,846,028 | 520,024 | 1,197,957 | 540,487 | 1,140,101 | 3.7 | 8.7 | 3.8 | 8.2 |
Dallas-Fort Worth-Arlington |
3,960,641 | 3,945,263 | 3,987,104 | 3,946,657 | 136,815 | 323,218 | 141,791 | 296,368 | 3.5 | 8.2 | 3.6 | 7.5 |
Dallas-Plano-Irving |
2,669,214 | 2,663,803 | 2,688,517 | 2,665,694 | 92,125 | 216,229 | 95,447 | 198,271 | 3.5 | 8.1 | 3.6 | 7.4 |
Fort Worth-Arlington |
1,291,427 | 1,281,460 | 1,298,587 | 1,280,963 | 44,690 | 106,989 | 46,344 | 98,097 | 3.5 | 8.3 | 3.6 | 7.7 |
Washington |
3,919,625 | 3,906,162 | 3,944,959 | 3,994,934 | 164,802 | 386,218 | 164,164 | 405,529 | 4.2 | 9.9 | 4.2 | 10.2 |
Seattle-Tacoma-Bellevue |
2,163,471 | 2,169,968 | 2,179,576 | 2,197,638 | 72,654 | 217,881 | 75,320 | 203,951 | 3.4 | 10.0 | 3.5 | 9.3 |
Seattle-Bellevue-Everett |
1,725,228 | 1,715,889 | 1,740,245 | 1,726,429 | 49,532 | 166,605 | 53,191 | 146,213 | 2.9 | 9.7 | 3.1 | 8.5 |
Tacoma-Lakewood |
438,243 | 454,079 | 439,331 | 471,209 | 23,122 | 51,276 | 22,129 | 57,738 | 5.3 | 11.3 | 5.0 | 12.3 |
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 | June | July | Change from July 2019 to July 2020(p) |
|||
---|---|---|---|---|---|---|
2019 | 2020 | 2019 | 2020(p) | Number | Percent | |
Alabama |
2,076.7 | 1,956.5 | 2,069.2 | 1,967.4 | -101.8 | -4.9 |
Anniston-Oxford-Jacksonville |
47.4 | 43.0 | 47.2 | 43.5 | -3.7 | -7.8 |
Auburn-Opelika |
66.3 | 61.2 | 67.0 | 62.1 | -4.9 | -7.3 |
Birmingham-Hoover |
547.1 | 517.8 | 547.1 | 518.2 | -28.9 | -5.3 |
Daphne-Fairhope-Foley |
83.1 | 79.5 | 82.7 | 79.4 | -3.3 | -4.0 |
Decatur |
57.5 | 53.0 | 57.1 | 53.7 | -3.4 | -6.0 |
Dothan |
60.1 | 56.7 | 60.2 | 57.5 | -2.7 | -4.5 |
Florence-Muscle Shoals |
57.2 | 53.6 | 57.2 | 53.9 | -3.3 | -5.8 |
Gadsden |
37.6 | 33.7 | 37.2 | 33.8 | -3.4 | -9.1 |
Huntsville |
244.6 |