METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND...

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For release 10:00 a.m. (EDT) Wednesday, August 2, 2017 USDL-17-1068 Technical information: Employment: (202) 691-6559 [email protected] www.bls.gov/sae Unemployment: (202) 691-6392 [email protected] www.bls.gov/lau Media contact: (202) 691-5902 [email protected] METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT JUNE 2017 Unemployment rates were lower in June than a year earlier in 336 of the 388 metropolitan areas, higher in 45 areas, and unchanged in 7 areas, the U.S. Bureau of Labor Statistics reported today. Twenty-six areas had jobless rates of less than 3.0 percent and two areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 342 metropolitan areas, decreased in 39 areas, and was unchanged in 7 areas. The national unemployment rate in June was 4.5 percent, not seasonally adjusted, down from 5.1 percent a year earlier. Metropolitan Area Unemployment (Not Seasonally Adjusted) In June, Fort Collins, Colo., had the lowest unemployment rate, 2.1 percent, closely followed by Boulder, Colo.; Elkhart-Goshen, Ind.; Fargo, N.D.-Minn.; and Idaho Falls, Idaho, 2.3 percent each. El Centro, Calif., and Yuma, Ariz., had the highest unemployment rates, 20.8 percent and 20.5 percent, respectively. A total of 192 areas had June jobless rates below the U.S. rate of 4.5 percent, 185 areas had rates above it, and 11 areas had rates equal to that of the nation. (See table 1 and map 1.) El Centro, Calif., had the largest over-the-year unemployment rate decrease in June (-3.2 percentage points). An additional 106 areas had rate declines of at least 1.0 percentage point. The largest over-the- year rate increase occurred in Toledo, Ohio (+1.5 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Denver-Aurora- Lakewood, Colo., had the lowest unemployment rate in June, 2.5 percent. Cleveland-Elyria, Ohio, had the highest jobless rate among the large areas, 6.4 percent. Forty-three large areas had over-the-year unemployment rate decreases and eight had increases. The largest rate decrease occurred in Detroit- Warren-Dearborn, Mich. (-2.0 percentage points). The largest over-the-year rate increase was in Cleveland-Elyria, Ohio (+0.7 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 June, Nashua, N.H.-Mass., had the lowest unemployment rate among the divisions, 3.0 percent, followed by San Francisco-Redwood City-South San Francisco, Calif., and San Rafael, Calif., 3.1 percent each. Philadelphia, Pa., had the highest division rate, 5.9 percent. (See table 2.)

Transcript of METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND...

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For release 10:00 a.m. (EDT) Wednesday, August 2, 2017 USDL-17-1068 Technical information:

Employment: (202) 691-6559 • [email protected] • www.bls.gov/sae Unemployment: (202) 691-6392 • [email protected] • www.bls.gov/lau

Media contact: (202) 691-5902 • [email protected]

METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017 Unemployment rates were lower in June than a year earlier in 336 of the 388 metropolitan areas, higher in 45 areas, and unchanged in 7 areas, the U.S. Bureau of Labor Statistics reported today. Twenty-six areas had jobless rates of less than 3.0 percent and two areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 342 metropolitan areas, decreased in 39 areas, and was unchanged in 7 areas. The national unemployment rate in June was 4.5 percent, not seasonally adjusted, down from 5.1 percent a year earlier. Metropolitan Area Unemployment (Not Seasonally Adjusted) In June, Fort Collins, Colo., had the lowest unemployment rate, 2.1 percent, closely followed by Boulder, Colo.; Elkhart-Goshen, Ind.; Fargo, N.D.-Minn.; and Idaho Falls, Idaho, 2.3 percent each. El Centro, Calif., and Yuma, Ariz., had the highest unemployment rates, 20.8 percent and 20.5 percent, respectively. A total of 192 areas had June jobless rates below the U.S. rate of 4.5 percent, 185 areas had rates above it, and 11 areas had rates equal to that of the nation. (See table 1 and map 1.) El Centro, Calif., had the largest over-the-year unemployment rate decrease in June (-3.2 percentage points). An additional 106 areas had rate declines of at least 1.0 percentage point. The largest over-the-year rate increase occurred in Toledo, Ohio (+1.5 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Denver-Aurora-Lakewood, Colo., had the lowest unemployment rate in June, 2.5 percent. Cleveland-Elyria, Ohio, had the highest jobless rate among the large areas, 6.4 percent. Forty-three large areas had over-the-year unemployment rate decreases and eight had increases. The largest rate decrease occurred in Detroit-Warren-Dearborn, Mich. (-2.0 percentage points). The largest over-the-year rate increase was in Cleveland-Elyria, Ohio (+0.7 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 June, Nashua, N.H.-Mass., had the lowest unemployment rate among the divisions, 3.0 percent, followed by San Francisco-Redwood City-South San Francisco, Calif., and San Rafael, Calif., 3.1 percent each. Philadelphia, Pa., had the highest division rate, 5.9 percent. (See table 2.)

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In June, 25 metropolitan divisions had over-the-year unemployment rate decreases, 12 had increases, and 1 had no change. The largest rate decline occurred in Detroit-Dearborn-Livonia, Mich. (-2.2 percentage points). The largest over-the-year rate increase occurred in Lawrence-Methuen Town-Salem, Mass.-N.H. (+0.5 percentage point). Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) In June, 342 metropolitan areas had over-the-year increases in nonfarm payroll employment, 39 had decreases, and 7 had no change. The largest over-the-year employment increases occurred in New York-Newark-Jersey City, N.Y.-N.J.-Pa. (+169,500), Dallas-Fort Worth-Arlington, Texas (+115,300), and Los Angeles-Long Beach-Anaheim, Calif. (+102,600). The largest over-the-year percentage gains in employment occurred in Manhattan, Kan. (+7.8 percent), Fort Collins, Colo. (+7.2 percent), and Sebring, Fla. (+5.7 percent). (See table 3 and map 2.) The largest over-the-year decrease in employment occurred in Houma-Thibodaux, La. (-2,800), followed by Shreveport-Bossier City, La. (-1,900), and Casper, Wyo. (-1,500). The largest over-the-year percentage decrease in employment occurred in Casper, Wyo. (-3.8 percent), followed by Houma-Thibodaux, La. (-3.2 percent), and Cape Girardeau, Mo.-Ill. (-2.9 percent). Over the year, nonfarm employment rose in 50 of the 51 metropolitan areas with a 2010 Census population of 1 million or more, and fell in Virginia Beach-Norfolk-Newport News, Va.-N.C. (-900, or -0.1 percent). The largest over-the-year percentage increase in employment in these large metropolitan areas occurred in Orlando-Kissimmee-Sanford, Fla. (+4.0 percent), followed by Las Vegas-Henderson-Paradise, Nev. (+3.7 percent), and Jacksonville, Fla.; Nashville-Davidson—Murfreesboro—Franklin, Tenn.; and Tampa-St. Petersburg-Clearwater, Fla. (+3.6 percent each). Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) In June, nonfarm payroll employment increased in 36 of the 38 metropolitan divisions over the year, and fell in 2. The largest over-the-year increase in employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, N.Y.-N.J. (+147,000), followed by Dallas-Plano-Irving, Texas (+85,200), and Los Angeles-Long Beach-Glendale, Calif. (+83,600). The largest over-the-year percentage increases occurred in Fort Lauderdale-Pompano Beach-Deerfield Beach, Fla. (+4.3 percent), Dallas-Plano-Irving, Texas (+3.4 percent), and Haverhill-Newburyport-Amesbury Town, Mass.-N.H., and West Palm Beach-Boca Raton-Delray Beach, Fla. (+3.1 percent each). The over-the-year decreases in employment occurred in Newark, N.J.-Pa. (-1,000, or -0.1 percent), and Lawrence-Methuen Town-Salem, Mass.-N.H. (-400, or -0.5 percent). (See table 4.) _____________ The State Employment and Unemployment news release for July is scheduled to be released on Friday, August 18, 2017, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is scheduled to be released on Wednesday, August 30, 2017, at 10:00 a.m. (EDT).

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Technical Note This release presents civilian labor force and unemployment

data from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 388 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 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 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 2012 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,

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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.

Reliability of the estimates

The estimates presented in this 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.

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/lau/lastderr.htm. Measures of nonsampling error are not available for the areas contained in this release. Information on recent data revisions for states and local areas is available online at www.bls.gov/lau/launews1.htm.

Employment estimates. Measures of sampling error for the total private employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/sae/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 down to the supersector level are available on the BLS website at www.bls.gov/sae/790stderr.htm. Measures of nonsampling error are not available for the areas contained in this release. Information on recent benchmark revisions is available online at www.bls.gov/sae/benchmark2017.pdf.

Area definitions

The substate area data published in this release reflect the delineations issued by the U.S. Office of Management and Budget on July 15, 2015. 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 release will be made available to

sensory impaired individuals upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.

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LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,159,095 2,170,164 2,177,701 2,187,123 116,430 90,602 137,606 113,407 5.4 4.2 6.3 5.2

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,791 45,497 46,108 45,804 2,792 2,168 3,290 2,702 6.1 4.8 7.1 5.9

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 72,259 74,275 72,932 75,088 3,434 2,720 4,291 3,493 4.8 3.7 5.9 4.7

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 533,811 535,044 537,382 539,876 26,976 20,721 31,423 25,472 5.1 3.9 5.8 4.7

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 90,894 92,308 93,036 94,329 4,373 3,331 4,952 4,102 4.8 3.6 5.3 4.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,120 69,099 69,806 69,724 3,713 2,789 4,276 3,458 5.4 4.0 6.1 5.0

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,876 62,474 62,459 62,796 3,407 2,583 3,896 3,163 5.5 4.1 6.2 5.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,493 66,152 66,647 66,660 4,036 2,951 4,734 3,778 6.1 4.5 7.1 5.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,879 44,485 44,230 44,671 2,359 1,888 2,747 2,334 5.4 4.2 6.2 5.2

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,609 216,683 213,526 216,520 10,026 7,990 11,856 10,015 4.7 3.7 5.6 4.6

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,884 183,252 185,977 184,293 11,182 9,242 13,371 11,469 6.0 5.0 7.2 6.2

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 170,797 171,659 172,147 173,004 8,640 6,754 10,325 8,520 5.1 3.9 6.0 4.9

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 111,306 112,672 112,331 113,294 6,031 4,647 7,525 6,099 5.4 4.1 6.7 5.4

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361,669 367,677 367,755 373,827 23,829 24,994 24,922 26,128 6.6 6.8 6.8 7.0

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 202,428 207,129 202,905 208,201 11,883 12,972 12,588 13,573 5.9 6.3 6.2 6.5

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,272 47,696 46,103 46,411 2,596 2,846 2,648 2,904 5.5 6.0 5.7 6.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,220,802 3,300,203 3,239,204 3,315,560 163,739 165,404 183,455 175,400 5.1 5.0 5.7 5.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,005 75,463 75,339 76,158 3,894 3,946 4,694 4,398 5.3 5.2 6.2 5.8

Lake Havasu City-Kingman. . . . . . . . . . . . 80,337 81,927 81,115 82,446 4,931 4,831 5,493 5,064 6.1 5.9 6.8 6.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,217,998 2,283,977 2,233,455 2,300,478 96,897 98,975 109,043 104,466 4.4 4.3 4.9 4.5

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,155 102,403 101,242 103,432 4,496 4,683 5,070 4,794 4.5 4.6 5.0 4.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,426 50,713 50,692 50,666 2,980 2,792 3,271 2,900 5.9 5.5 6.5 5.7

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471,875 475,920 468,809 472,963 21,854 21,993 24,702 23,098 4.6 4.6 5.3 4.9

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,928 99,462 96,600 99,272 18,857 18,852 19,891 20,374 19.7 19.0 20.6 20.5

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,348,027 1,364,495 1,361,968 1,390,525 52,655 45,676 57,869 51,680 3.9 3.3 4.2 3.7

Fayetteville-Springdale-Rogers. . . . . . . . . 263,773 275,309 265,797 278,776 7,593 6,982 8,434 7,884 2.9 2.5 3.2 2.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,076 120,936 123,262 122,765 5,676 4,882 6,083 5,278 4.6 4.0 4.9 4.3

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,770 41,257 41,230 42,208 1,692 1,476 1,843 1,696 4.2 3.6 4.5 4.0

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,592 63,824 62,937 65,096 2,052 1,847 2,324 2,145 3.3 2.9 3.7 3.3

Little Rock-North Little Rock-Conway. . . . 350,499 351,786 355,177 361,031 12,194 10,850 13,317 11,940 3.5 3.1 3.7 3.3

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,141 36,087 36,361 36,593 1,918 1,601 2,100 1,849 5.3 4.4 5.8 5.1

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,021,893 19,061,992 19,106,981 19,145,674 941,445 806,265 1,060,958 937,364 4.9 4.2 5.6 4.9

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 389,972 382,162 391,299 384,158 38,888 32,414 41,106 36,656 10.0 8.5 10.5 9.5

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,055 102,532 101,468 102,422 5,998 5,150 6,955 6,233 5.9 5.0 6.9 6.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,746 74,311 77,354 73,677 17,321 15,451 18,554 15,288 22.6 20.8 24.0 20.8

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448,010 448,170 450,382 449,133 38,774 33,733 40,711 37,717 8.7 7.5 9.0 8.4

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,979 56,529 57,756 56,718 5,105 4,362 5,697 5,191 8.8 7.7 9.9 9.2

Los Angeles-Long Beach-Anaheim. . . . . 6,618,082 6,675,467 6,620,438 6,686,875 301,141 256,280 338,351 290,626 4.6 3.8 5.1 4.3

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,763 61,961 61,123 61,445 5,259 4,500 5,573 4,956 8.5 7.3 9.1 8.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,716 113,430 115,414 115,360 11,307 9,658 11,653 10,810 9.9 8.5 10.1 9.4

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,727 245,233 243,834 247,001 19,721 17,142 21,503 19,319 8.1 7.0 8.8 7.8

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,884 74,398 74,401 74,950 2,629 2,256 3,043 2,699 3.6 3.0 4.1 3.6

Oxnard-Thousand Oaks-Ventura. . . . . . . 427,872 427,543 428,181 429,348 19,338 16,166 22,221 19,243 4.5 3.8 5.2 4.5

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,183 74,646 75,537 75,861 4,600 3,839 5,144 4,401 6.2 5.1 6.8 5.8

Riverside-San Bernardino-Ontario. . . . . . 1,971,168 1,983,938 1,981,683 1,990,309 105,683 89,560 124,613 110,356 5.4 4.5 6.3 5.5

Sacramento--Roseville--Arden-Arcade. . . 1,066,203 1,061,934 1,077,830 1,072,481 50,346 43,348 57,816 51,947 4.7 4.1 5.4 4.8

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,119 224,995 229,493 228,264 13,548 12,094 13,510 12,621 6.0 5.4 5.9 5.5

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,561,417 1,553,762 1,570,732 1,562,475 66,528 55,800 77,001 67,777 4.3 3.6 4.9 4.3

San Francisco-Oakland-Hayward. . . . . . . 2,521,842 2,526,626 2,540,400 2,540,734 86,437 75,783 100,913 91,662 3.4 3.0 4.0 3.6

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,048,262 1,046,088 1,058,903 1,052,270 36,601 31,395 42,322 37,641 3.5 3.0 4.0 3.6

San Luis Obispo-Paso Robles-ArroyoGrande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,611 141,300 142,926 142,690 5,202 4,262 6,307 5,358 3.7 3.0 4.4 3.8

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 145,196 144,469 147,519 147,345 8,710 7,564 8,886 7,833 6.0 5.2 6.0 5.3

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,010 217,942 218,384 217,246 8,965 7,720 10,527 9,414 4.1 3.5 4.8 4.3

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 259,673 258,429 260,821 259,851 9,087 7,680 10,598 9,378 3.5 3.0 4.1 3.6

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 320,961 312,984 317,848 315,916 23,303 19,875 25,910 23,103 7.3 6.4 8.2 7.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 206,550 205,351 208,903 205,937 10,194 8,841 11,693 10,447 4.9 4.3 5.6 5.1

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 208,763 209,047 207,619 209,230 19,960 18,275 21,397 20,666 9.6 8.7 10.3 9.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,149 73,499 74,596 74,605 6,266 5,537 6,597 5,991 8.6 7.5 8.8 8.0

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,871,881 2,957,573 2,910,847 2,996,788 93,353 71,855 107,876 77,856 3.3 2.4 3.7 2.6

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,800 187,072 181,554 186,802 4,765 3,917 5,696 4,321 2.7 2.1 3.1 2.3

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 325,561 335,043 329,324 339,331 11,809 9,164 14,011 10,366 3.6 2.7 4.3 3.1

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,533,520 1,580,397 1,550,646 1,602,311 46,347 36,452 54,105 39,928 3.0 2.3 3.5 2.5

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 188,015 197,374 187,379 201,222 5,111 4,024 5,922 4,316 2.7 2.0 3.2 2.1

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 72,538 71,856 72,166 71,749 3,748 2,348 4,370 2,583 5.2 3.3 6.1 3.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149,458 154,783 149,397 154,636 5,052 3,485 5,890 3,865 3.4 2.3 3.9 2.5

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,304 74,318 73,306 74,216 3,376 2,674 3,996 2,941 4.6 3.6 5.5 4.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,895,569 1,930,159 1,913,076 1,954,854 97,111 92,742 103,749 100,624 5.1 4.8 5.4 5.1

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 468,850 476,300 473,757 482,823 23,403 22,944 24,728 24,918 5.0 4.8 5.2 5.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,717 109,475 108,979 110,931 4,538 4,297 4,996 4,741 4.2 3.9 4.6 4.3

Hartford-West Hartford-East Hartford. . . . 615,717 629,375 621,720 636,013 31,885 30,013 34,814 32,810 5.2 4.8 5.6 5.2

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 324,701 330,586 327,386 336,337 16,741 16,035 17,772 17,538 5.2 4.9 5.4 5.2

See footnotes at end of table.

Page 6: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 141,874 144,069 144,001 146,493 7,445 6,775 7,899 7,232 5.2 4.7 5.5 4.9

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,660 112,995 112,105 113,970 6,916 6,650 7,104 6,977 6.2 5.9 6.3 6.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471,888 474,675 477,351 481,313 19,240 20,783 22,505 24,115 4.1 4.4 4.7 5.0

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,564 77,925 77,144 77,851 3,521 3,730 4,093 4,454 4.5 4.8 5.3 5.7

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 185,861 188,182 196,111 199,414 8,802 8,992 9,616 9,450 4.7 4.8 4.9 4.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . 388,784 400,536 394,651 404,935 21,042 21,951 24,938 25,823 5.4 5.5 6.3 6.4

Washington-Arlington-Alexandria. . . . . . . 3,299,917 3,384,314 3,325,964 3,424,661 117,807 122,955 134,057 132,784 3.6 3.6 4.0 3.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,819,355 10,131,353 9,825,069 10,142,085 445,147 405,582 497,771 438,732 4.5 4.0 5.1 4.3

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 328,079 330,222 326,114 327,328 13,937 12,636 15,552 13,684 4.2 3.8 4.8 4.2

Crestview-Fort Walton Beach-Destin. . . . 123,396 126,626 126,708 130,010 4,560 4,061 5,115 4,413 3.7 3.2 4.0 3.4

Deltona-Daytona Beach-OrmondBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291,252 297,582 291,311 298,018 14,002 12,712 15,396 13,474 4.8 4.3 5.3 4.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 137,453 142,600 136,185 141,659 5,479 4,916 6,531 5,666 4.0 3.4 4.8 4.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,136 47,877 48,031 48,032 3,027 2,704 3,329 2,879 6.3 5.6 6.9 6.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 733,584 758,533 739,139 764,568 32,022 28,980 36,862 32,409 4.4 3.8 5.0 4.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 285,401 294,455 284,705 293,446 14,500 12,989 16,805 14,460 5.1 4.4 5.9 4.9

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,043,228 3,151,852 3,038,779 3,147,254 143,101 132,969 157,011 141,098 4.7 4.2 5.2 4.5

Naples-Immokalee-Marco Island. . . . . . . . 168,175 169,734 164,759 167,623 6,937 6,332 8,134 7,211 4.1 3.7 4.9 4.3

North Port-Sarasota-Bradenton. . . . . . . . . 350,573 364,347 350,269 364,811 14,722 13,396 16,270 14,321 4.2 3.7 4.6 3.9

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,347 135,782 132,451 135,826 7,188 6,402 7,917 6,841 5.4 4.7 6.0 5.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,251,679 1,302,393 1,258,371 1,305,155 52,622 47,146 59,477 51,541 4.2 3.6 4.7 3.9

Palm Bay-Melbourne-Titusville. . . . . . . . . 261,142 269,153 263,373 272,918 12,780 11,114 13,968 11,926 4.9 4.1 5.3 4.4

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,863 96,377 96,602 98,199 4,226 3,839 4,587 4,074 4.5 4.0 4.7 4.1

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 216,922 221,544 217,957 222,593 9,531 8,596 11,058 9,628 4.4 3.9 5.1 4.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 205,519 209,893 204,695 210,068 10,150 9,169 11,631 10,101 4.9 4.4 5.7 4.8

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 68,553 71,063 68,423 71,038 3,391 3,163 3,693 3,292 4.9 4.5 5.4 4.6

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 61,629 63,620 61,847 63,618 3,568 3,113 3,987 3,423 5.8 4.9 6.4 5.4

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,339 37,943 35,311 36,900 2,142 1,943 2,433 2,154 5.9 5.1 6.9 5.8

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 185,039 192,272 185,873 192,889 8,120 7,204 9,599 8,220 4.4 3.7 5.2 4.3

Tampa-St. Petersburg-Clearwater. . . . . . 1,473,280 1,520,611 1,477,630 1,529,023 63,620 58,199 70,772 62,527 4.3 3.8 4.8 4.1

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 29,164 30,234 29,279 30,197 1,945 1,788 1,977 1,779 6.7 5.9 6.8 5.9

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,898,019 5,034,235 4,914,807 5,058,064 241,857 237,316 273,846 256,927 4.9 4.7 5.6 5.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,992 67,378 65,949 67,302 3,851 3,842 4,345 4,103 5.8 5.7 6.6 6.1

Athens-Clarke County. . . . . . . . . . . . . . . . . 96,327 99,077 97,603 100,126 4,458 4,427 5,620 5,243 4.6 4.5 5.8 5.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,921,599 3,020,478 2,931,814 3,037,341 138,577 137,293 155,828 147,644 4.7 4.5 5.3 4.9

Augusta-Richmond County. . . . . . . . . . . . . 262,345 264,178 263,779 266,666 13,779 12,395 15,357 13,699 5.3 4.7 5.8 5.1

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,732 53,144 53,130 53,549 2,670 2,489 2,944 2,654 5.1 4.7 5.5 5.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,947 123,862 123,385 124,162 7,216 6,799 8,091 7,441 5.9 5.5 6.6 6.0

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,125 62,825 62,322 63,189 3,380 3,242 3,912 3,451 5.4 5.2 6.3 5.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 95,444 99,337 95,539 99,483 3,849 3,849 4,532 4,238 4.0 3.9 4.7 4.3

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,201 33,063 32,019 32,958 1,667 1,676 1,877 1,749 5.2 5.1 5.9 5.3

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 103,235 104,872 103,843 105,204 5,528 5,410 6,162 5,771 5.4 5.2 5.9 5.5

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,256 44,192 43,202 44,219 2,382 2,267 2,728 2,453 5.5 5.1 6.3 5.5

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,642 184,922 181,801 185,649 8,505 8,081 9,910 8,844 4.7 4.4 5.5 4.8

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,948 64,787 63,878 64,801 3,107 2,879 3,540 3,264 4.9 4.4 5.5 5.0

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 82,765 84,574 83,156 84,827 4,158 4,139 4,706 4,389 5.0 4.9 5.7 5.2

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681,018 692,125 686,621 694,930 20,261 19,078 24,984 22,460 3.0 2.8 3.6 3.2

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 84,730 87,093 86,235 88,365 2,631 2,608 3,148 3,028 3.1 3.0 3.7 3.4

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 470,834 477,227 472,577 477,704 13,065 12,386 16,111 14,602 2.8 2.6 3.4 3.1

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 812,838 821,085 824,595 829,163 27,316 22,576 30,153 22,708 3.4 2.7 3.7 2.7

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 332,473 340,776 336,356 344,173 10,856 9,117 12,388 9,523 3.3 2.7 3.7 2.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 73,568 73,666 75,074 74,673 2,964 2,308 3,117 2,279 4.0 3.1 4.2 3.1

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,530 66,334 67,609 66,940 1,910 1,527 2,132 1,551 2.9 2.3 3.2 2.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,674 31,512 30,742 31,589 1,107 896 1,184 888 3.6 2.8 3.9 2.8

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,929 41,683 42,515 40,972 1,302 1,082 1,435 1,109 3.0 2.6 3.4 2.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,516,889 6,437,920 6,610,567 6,548,143 342,972 275,066 393,374 329,269 5.3 4.3 6.0 5.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,435 97,622 96,143 96,971 4,473 3,697 5,050 4,287 4.6 3.8 5.3 4.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,282 59,858 58,901 58,905 3,151 2,664 3,437 3,088 5.2 4.5 5.8 5.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 120,746 118,883 117,330 115,832 5,492 4,758 6,163 5,563 4.5 4.0 5.3 4.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,906,431 4,851,645 4,998,171 4,960,092 258,403 197,867 300,782 242,770 5.3 4.1 6.0 4.9

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,977 34,037 34,913 34,258 2,249 2,043 2,454 2,325 6.4 6.0 7.0 6.8

Davenport-Moline-Rock Island1. . . . . . . . . 190,098 187,200 192,421 189,625 9,348 7,798 10,331 8,620 4.9 4.2 5.4 4.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,218 49,025 50,671 49,702 2,950 2,439 3,356 2,927 5.9 5.0 6.6 5.9

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,155 54,250 54,876 55,052 3,091 2,693 3,291 2,990 5.7 5.0 6.0 5.4

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,489 180,214 184,186 181,929 10,524 9,061 11,402 10,012 5.8 5.0 6.2 5.5

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,603 164,390 169,227 166,103 9,779 10,073 10,633 9,707 5.8 6.1 6.3 5.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,891 111,304 112,343 112,235 4,715 4,207 5,159 4,861 4.2 3.8 4.6 4.3

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,342,323 3,333,416 3,367,532 3,375,602 140,717 93,554 153,573 104,820 4.2 2.8 4.6 3.1

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,559 73,029 75,282 73,570 3,444 2,263 4,086 2,644 4.6 3.1 5.4 3.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,435 45,260 45,275 45,522 1,440 988 1,585 1,099 3.2 2.2 3.5 2.4

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 108,211 111,147 110,738 113,229 3,604 2,334 4,108 2,648 3.3 2.1 3.7 2.3

See footnotes at end of table.

Page 7: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,322 160,553 162,597 163,080 6,525 4,666 7,131 5,278 4.1 2.9 4.4 3.2

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 213,224 212,547 213,765 216,878 8,524 5,501 9,314 6,114 4.0 2.6 4.4 2.8

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,037,321 1,042,351 1,049,073 1,061,355 40,523 27,914 43,766 30,713 3.9 2.7 4.2 2.9

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,980 38,525 38,315 39,592 1,695 1,112 1,789 1,925 4.5 2.9 4.7 4.9

Lafayette-West Lafayette. . . . . . . . . . . . . . 110,374 110,656 108,002 107,278 4,131 2,766 4,842 3,219 3.7 2.5 4.5 3.0

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,938 47,397 49,355 48,125 2,719 1,665 2,847 1,818 5.6 3.5 5.8 3.8

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,413 53,801 54,931 54,415 2,745 1,835 3,110 2,073 5.0 3.4 5.7 3.8

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,745 157,734 158,723 159,943 6,646 4,703 7,479 5,216 4.2 3.0 4.7 3.3

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 78,068 77,198 77,535 77,307 4,176 2,597 4,470 2,846 5.3 3.4 5.8 3.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,697,251 1,680,290 1,716,732 1,704,127 56,466 48,904 65,910 54,484 3.3 2.9 3.8 3.2

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,931 56,857 54,360 54,822 1,184 1,078 1,725 1,414 2.1 1.9 3.2 2.6

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 141,912 141,513 144,602 144,438 5,101 4,566 5,539 4,919 3.6 3.2 3.8 3.4

Des Moines-West Des Moines. . . . . . . . . 340,693 344,901 345,556 354,643 10,729 9,711 12,502 10,748 3.1 2.8 3.6 3.0

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,871 54,160 55,027 54,721 1,780 1,454 2,079 1,594 3.2 2.7 3.8 2.9

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,497 96,963 95,682 97,926 2,318 2,324 2,930 2,806 2.4 2.4 3.1 2.9

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,815 91,823 94,747 93,220 2,769 2,640 3,405 3,072 3.0 2.9 3.6 3.3

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,735 88,184 89,711 87,495 3,667 2,955 4,316 3,273 4.1 3.4 4.8 3.7

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,475,236 1,468,991 1,498,331 1,494,493 57,046 54,505 68,046 59,820 3.9 3.7 4.5 4.0

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,757 65,789 62,887 64,792 2,199 2,149 2,761 2,387 3.3 3.3 4.4 3.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,525 49,958 46,747 49,337 1,537 1,524 1,917 1,679 3.1 3.1 4.1 3.4

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,747 120,982 122,588 122,711 4,535 4,427 5,300 4,875 3.8 3.7 4.3 4.0

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,849 306,901 312,532 312,736 13,322 12,994 15,914 14,277 4.3 4.2 5.1 4.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,991,254 2,078,886 2,017,049 2,090,932 96,565 98,194 107,207 118,769 4.8 4.7 5.3 5.7

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 79,300 83,956 79,910 83,977 3,198 3,226 3,609 4,235 4.0 3.8 4.5 5.0

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,072 68,065 66,238 69,228 2,843 3,060 3,124 3,740 4.4 4.5 4.7 5.4

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 260,518 275,329 263,339 276,363 9,492 9,990 10,512 12,409 3.6 3.6 4.0 4.5

Louisville/Jefferson County. . . . . . . . . . . . . 639,897 665,690 650,457 673,297 26,536 26,023 29,197 30,644 4.1 3.9 4.5 4.6

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 53,880 55,982 54,331 56,027 2,413 2,440 2,610 3,021 4.5 4.4 4.8 5.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,126,138 2,103,892 2,155,187 2,123,048 124,825 115,878 149,501 124,864 5.9 5.5 6.9 5.9

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,136 65,175 67,260 65,960 3,973 4,022 4,795 4,300 6.0 6.2 7.1 6.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 418,535 417,621 423,881 420,592 20,852 19,760 25,574 21,857 5.0 4.7 6.0 5.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,277 54,318 55,044 54,979 3,487 3,335 4,314 3,739 6.4 6.1 7.8 6.8

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 93,305 88,683 94,169 89,792 6,112 5,316 7,079 5,426 6.6 6.0 7.5 6.0

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,718 212,647 219,642 213,354 15,420 13,063 17,766 13,516 7.1 6.1 8.1 6.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 105,066 108,978 107,840 110,834 4,782 4,697 5,785 5,013 4.6 4.3 5.4 4.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,037 80,888 82,294 81,746 4,835 4,596 5,710 4,771 6.0 5.7 6.9 5.8

New Orleans-Metairie. . . . . . . . . . . . . . . . . 599,746 595,477 605,709 600,341 31,563 30,000 38,040 33,024 5.3 5.0 6.3 5.5

Shreveport-Bossier City. . . . . . . . . . . . . . . 190,907 187,142 194,332 188,936 11,727 11,247 14,145 11,972 6.1 6.0 7.3 6.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685,895 696,670 702,058 712,383 25,865 24,537 26,416 25,955 3.8 3.5 3.8 3.6

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,836 70,952 70,781 71,527 2,607 2,525 2,700 2,705 3.7 3.6 3.8 3.8

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,432 56,594 55,960 57,116 1,956 1,785 2,033 2,010 3.5 3.2 3.6 3.5

Portland-South Portland. . . . . . . . . . . . . . . 201,578 205,681 206,653 211,542 5,862 5,547 6,349 6,358 2.9 2.7 3.1 3.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,151,996 3,203,889 3,190,270 3,258,161 125,543 125,972 142,976 138,380 4.0 3.9 4.5 4.2

Baltimore-Columbia-Towson. . . . . . . . . . . 1,478,162 1,496,020 1,492,155 1,518,657 60,606 60,803 68,716 67,197 4.1 4.1 4.6 4.4

California-Lexington Park. . . . . . . . . . . . . . 54,328 54,951 55,384 56,347 2,075 2,002 2,586 2,448 3.8 3.6 4.7 4.3

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,539 44,379 44,699 44,561 2,385 2,190 2,791 2,536 5.4 4.9 6.2 5.7

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 131,014 132,084 133,014 134,547 5,381 4,847 5,932 5,574 4.1 3.7 4.5 4.1

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,569,607 3,686,201 3,628,844 3,729,449 131,194 152,466 145,385 162,524 3.7 4.1 4.0 4.4

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 121,108 125,241 130,558 133,945 4,849 5,568 4,960 5,430 4.0 4.4 3.8 4.1

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,634,593 2,719,187 2,671,559 2,748,756 89,058 102,837 99,141 110,004 3.4 3.8 3.7 4.0

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 75,991 78,040 76,683 78,606 3,280 3,744 3,646 3,877 4.3 4.8 4.8 4.9

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 82,845 87,079 84,351 87,789 4,218 4,937 4,584 5,227 5.1 5.7 5.4 6.0

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,335 43,390 43,901 44,690 1,830 2,170 1,942 2,177 4.3 5.0 4.4 4.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 363,259 373,380 365,106 373,359 16,696 18,247 18,413 20,107 4.6 4.9 5.0 5.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 345,406 354,899 348,902 356,710 13,838 15,576 15,182 16,552 4.0 4.4 4.4 4.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,834,360 4,868,861 4,877,133 4,889,522 218,781 179,602 251,290 195,161 4.5 3.7 5.2 4.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 190,013 191,659 189,973 190,758 6,501 5,491 7,479 6,405 3.4 2.9 3.9 3.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 64,792 64,978 65,254 65,513 2,842 2,562 3,144 2,911 4.4 3.9 4.8 4.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,125 51,381 52,728 52,053 2,526 2,384 2,894 2,560 4.8 4.6 5.5 4.9

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,053,841 2,088,619 2,074,843 2,086,284 97,170 75,265 118,349 77,278 4.7 3.6 5.7 3.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,737 183,175 185,043 185,253 9,529 8,318 10,390 9,332 5.2 4.5 5.6 5.0

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 570,007 575,563 573,992 578,966 18,732 16,074 21,598 18,644 3.3 2.8 3.8 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,045 74,399 75,588 74,961 3,371 2,798 3,759 3,232 4.5 3.8 5.0 4.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,113 167,807 167,919 169,841 6,763 6,028 7,697 6,752 4.0 3.6 4.6 4.0

Lansing-East Lansing. . . . . . . . . . . . . . . . . 249,045 249,644 243,371 246,554 11,667 8,321 10,673 10,684 4.7 3.3 4.4 4.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,460 41,185 41,687 41,458 1,739 1,563 1,960 1,682 4.2 3.8 4.7 4.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,462 76,915 77,488 77,424 3,116 2,969 3,371 3,371 4.0 3.9 4.4 4.4

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,869 77,261 79,274 78,280 3,831 3,382 4,349 3,723 4.9 4.4 5.5 4.8

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 74,684 73,889 75,796 75,162 3,329 2,905 3,828 3,285 4.5 3.9 5.1 4.4

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,444 88,025 89,459 89,748 4,314 3,893 4,773 4,257 4.9 4.4 5.3 4.7

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,995,353 3,028,333 3,020,836 3,068,871 98,186 101,908 119,516 112,434 3.3 3.4 4.0 3.7

See footnotes at end of table.

Page 8: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,196 141,882 142,206 144,176 7,137 6,435 8,290 6,986 5.0 4.5 5.8 4.8

Mankato-North Mankato. . . . . . . . . . . . . . . 59,694 59,759 58,783 59,382 1,570 1,709 2,037 1,951 2.6 2.9 3.5 3.3

Minneapolis-St. Paul-Bloomington. . . . . . 1,936,533 1,968,826 1,950,951 1,999,700 59,327 62,839 72,939 70,488 3.1 3.2 3.7 3.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,418 119,262 120,490 121,662 3,174 3,436 3,936 3,804 2.7 2.9 3.3 3.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,189 110,653 109,262 110,883 3,619 3,685 4,247 4,002 3.3 3.3 3.9 3.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,279,090 1,296,835 1,292,264 1,305,107 75,602 69,095 87,736 79,321 5.9 5.3 6.8 6.1

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,848 165,899 167,482 168,042 10,096 9,038 11,219 10,036 6.1 5.4 6.7 6.0

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 66,788 69,043 66,953 69,093 3,634 3,328 4,200 3,765 5.4 4.8 6.3 5.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270,170 274,040 274,140 278,155 13,545 12,746 15,710 14,672 5.0 4.7 5.7 5.3

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,119,644 3,058,239 3,152,760 3,084,792 130,546 124,033 155,158 120,536 4.2 4.1 4.9 3.9

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,952 47,085 49,862 46,927 2,081 2,012 2,625 2,020 4.3 4.3 5.3 4.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,303 98,112 97,684 96,313 2,888 2,803 3,864 2,828 2.9 2.9 4.0 2.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 76,600 74,873 77,654 75,932 2,668 2,510 3,376 2,644 3.5 3.4 4.3 3.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,442 84,227 87,951 85,082 3,297 3,286 4,213 3,307 3.8 3.9 4.8 3.9

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,124,879 1,119,659 1,139,445 1,135,865 47,542 43,140 51,408 43,387 4.2 3.9 4.5 3.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,204 64,676 66,618 65,231 2,427 2,527 2,977 2,417 3.7 3.9 4.5 3.7

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484,905 1,454,472 1,500,094 1,470,310 61,447 58,001 73,653 58,954 4.1 4.0 4.9 4.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 233,247 230,189 234,158 229,335 8,397 8,241 10,400 7,879 3.6 3.6 4.4 3.4

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526,760 523,761 534,086 532,137 19,465 18,812 22,468 20,249 3.7 3.6 4.2 3.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,926 87,383 88,701 88,665 2,801 2,593 3,474 3,159 3.2 3.0 3.9 3.6

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,225 37,836 38,863 38,514 1,332 1,231 1,608 1,432 3.5 3.3 4.1 3.7

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,857 61,727 62,221 62,035 2,023 1,947 2,361 2,127 3.3 3.2 3.8 3.4

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013,004 1,008,062 1,023,027 1,019,060 29,932 28,238 35,621 31,227 3.0 2.8 3.5 3.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,203 43,586 43,988 44,191 1,407 1,238 1,602 1,316 3.3 2.8 3.6 3.0

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,222 177,707 176,080 176,644 4,762 4,562 5,732 5,036 2.7 2.6 3.3 2.9

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 476,734 476,895 479,804 483,319 14,831 13,856 17,388 15,300 3.1 2.9 3.6 3.2

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423,834 1,440,808 1,427,966 1,445,851 80,669 66,839 84,989 69,997 5.7 4.6 6.0 4.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,787 24,726 24,936 24,741 1,467 1,174 1,510 1,127 5.9 4.7 6.1 4.6

Las Vegas-Henderson-Paradise. . . . . . . . 1,043,982 1,060,776 1,047,268 1,063,902 60,628 50,960 64,145 53,869 5.8 4.8 6.1 5.1

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230,873 233,865 231,401 234,666 11,509 9,209 11,982 9,432 5.0 3.9 5.2 4.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 743,011 748,103 754,888 760,213 20,206 20,474 21,559 20,225 2.7 2.7 2.9 2.7

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 83,573 85,397 83,314 84,526 2,088 2,065 2,190 2,108 2.5 2.4 2.6 2.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,110 117,776 117,408 119,080 3,080 3,177 3,330 3,202 2.7 2.7 2.8 2.7

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 74,760 74,977 76,650 76,611 1,787 1,825 1,958 1,877 2.4 2.4 2.6 2.5

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,524,636 4,507,247 4,570,417 4,547,748 224,726 188,537 236,030 196,033 5.0 4.2 5.2 4.3

Atlantic City-Hammonton. . . . . . . . . . . . . . 124,390 122,675 125,850 125,164 8,877 7,734 9,180 7,976 7.1 6.3 7.3 6.4

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,248 47,523 54,105 53,004 4,129 3,405 3,918 3,237 8.7 7.2 7.2 6.1

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,355 200,456 200,731 200,976 8,668 7,259 9,310 7,661 4.3 3.6 4.6 3.8

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 67,583 67,406 67,635 67,260 4,860 3,925 5,109 4,172 7.2 5.8 7.6 6.2

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 919,658 927,379 932,354 938,625 58,612 56,803 70,024 63,318 6.4 6.1 7.5 6.7

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 417,864 423,129 423,347 430,587 23,812 23,936 29,007 26,891 5.7 5.7 6.9 6.2

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,551 52,818 53,944 53,027 4,726 3,812 5,382 4,229 8.8 7.2 10.0 8.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 95,263 97,192 95,106 96,221 6,672 6,585 7,706 7,161 7.0 6.8 8.1 7.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,750 72,682 73,040 74,036 3,498 3,648 4,273 4,090 4.9 5.0 5.9 5.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,566,693 9,614,907 9,644,655 9,739,671 414,684 410,183 455,409 440,982 4.3 4.3 4.7 4.5

Albany-Schenectady-Troy. . . . . . . . . . . . . . 448,535 445,636 452,413 451,456 16,811 17,292 18,324 19,428 3.7 3.9 4.1 4.3

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 110,038 108,171 110,058 109,541 5,247 5,284 5,679 5,914 4.8 4.9 5.2 5.4

Buffalo-Cheektowaga-Niagara Falls. . . . . 547,681 543,118 551,883 549,961 24,505 26,109 25,974 28,057 4.5 4.8 4.7 5.1

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,370 35,082 36,825 36,076 1,949 1,819 2,016 1,938 5.4 5.2 5.5 5.4

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,596 60,094 62,570 62,751 2,591 2,533 2,585 2,608 4.3 4.2 4.1 4.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,315 50,739 50,134 50,022 1,949 1,915 2,286 2,440 3.8 3.8 4.6 4.9

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,503 87,760 89,899 89,917 3,535 3,654 3,832 3,982 4.0 4.2 4.3 4.4

New York-Newark-Jersey City. . . . . . . . . . 9,985,542 10,048,327 10,063,161 10,152,281 447,542 413,344 487,809 437,319 4.5 4.1 4.8 4.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 526,120 515,565 528,871 524,877 22,346 23,166 23,929 25,367 4.2 4.5 4.5 4.8

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,138 305,495 309,577 308,423 13,565 13,913 14,674 15,363 4.4 4.6 4.7 5.0

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,398 127,996 131,073 131,397 5,802 5,982 6,031 6,404 4.5 4.7 4.6 4.9

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 46,011 45,641 47,181 47,213 2,441 2,592 2,453 2,528 5.3 5.7 5.2 5.4

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,872,058 4,921,137 4,877,332 4,917,303 227,259 212,792 252,690 208,449 4.7 4.3 5.2 4.2

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,886 227,919 225,790 227,563 8,309 7,902 9,346 7,730 3.7 3.5 4.1 3.4

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,818 79,481 78,463 79,415 3,478 3,246 3,962 3,282 4.4 4.1 5.0 4.1

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,277,834 1,309,079 1,281,399 1,307,077 56,602 52,440 63,428 52,504 4.4 4.0 4.9 4.0

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 288,170 291,402 287,339 293,170 11,999 11,151 13,512 11,145 4.2 3.8 4.7 3.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,200 147,078 148,630 146,994 8,648 7,947 9,590 7,771 5.8 5.4 6.5 5.3

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,807 53,017 53,523 52,543 2,778 2,644 3,057 2,543 5.2 5.0 5.7 4.8

Greensboro-High Point. . . . . . . . . . . . . . . . 366,110 368,456 364,754 368,934 17,817 16,924 19,889 16,643 4.9 4.6 5.5 4.5

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,042 87,988 88,126 86,971 4,689 4,349 5,216 4,282 5.3 4.9 5.9 4.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 170,788 171,843 170,763 171,219 7,613 6,950 8,387 6,869 4.5 4.0 4.9 4.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,115 63,843 63,655 63,567 3,155 3,006 3,527 2,928 4.9 4.7 5.5 4.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,840 51,927 52,258 52,622 2,470 2,329 2,750 2,285 4.8 4.5 5.3 4.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676,152 690,969 679,437 694,451 27,449 25,986 30,574 25,777 4.1 3.8 4.5 3.7

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 66,413 65,244 66,323 64,868 4,475 4,422 4,869 4,180 6.7 6.8 7.3 6.4

See footnotes at end of table.

Page 9: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,567 146,238 144,262 146,336 6,231 5,802 6,993 5,801 4.3 4.0 4.8 4.0

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 322,151 321,677 321,856 321,556 14,413 13,621 16,115 13,333 4.5 4.2 5.0 4.1

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 417,037 417,854 425,186 425,407 12,292 8,284 14,765 10,675 2.9 2.0 3.5 2.5

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,110 70,454 71,597 71,195 1,780 1,319 2,101 1,709 2.5 1.9 2.9 2.4

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,056 139,038 136,561 139,351 3,057 2,657 3,667 3,206 2.2 1.9 2.7 2.3

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,428 56,419 57,066 57,152 1,503 1,316 1,918 1,739 2.7 2.3 3.4 3.0

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,713,907 5,771,430 5,754,452 5,830,760 250,260 266,002 286,907 312,842 4.4 4.6 5.0 5.4

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359,538 360,580 357,868 359,993 15,635 16,087 17,767 19,097 4.3 4.5 5.0 5.3

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 200,316 199,099 200,740 200,276 9,838 9,505 10,652 10,922 4.9 4.8 5.3 5.5

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,084,479 1,113,679 1,094,754 1,130,329 42,050 43,260 48,543 53,223 3.9 3.9 4.4 4.7

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,023,975 1,038,817 1,037,092 1,055,777 50,038 60,243 59,098 67,229 4.9 5.8 5.7 6.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,047,703 1,063,378 1,057,444 1,076,342 38,281 39,417 44,402 47,626 3.7 3.7 4.2 4.4

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381,265 383,930 384,692 386,432 15,730 16,510 18,241 19,788 4.1 4.3 4.7 5.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,956 48,259 48,565 49,057 2,051 2,201 2,377 2,586 4.3 4.6 4.9 5.3

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,372 53,279 53,785 54,227 2,497 2,584 2,815 3,033 4.7 4.8 5.2 5.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,542 63,555 64,146 64,294 2,810 2,765 3,256 3,374 4.4 4.4 5.1 5.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,085 306,111 304,683 310,244 12,557 16,341 14,354 19,130 4.1 5.3 4.7 6.2

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 52,031 50,636 52,446 51,770 3,841 3,038 4,010 3,547 7.4 6.0 7.6 6.9

Youngstown-Warren-Boardman. . . . . . . . 249,209 247,920 250,297 250,579 14,239 14,534 15,465 16,194 5.7 5.9 6.2 6.5

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,822,419 1,813,034 1,839,619 1,827,093 89,887 83,847 99,152 88,429 4.9 4.6 5.4 4.8

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,821 30,215 30,154 30,961 1,381 1,214 1,468 1,229 4.6 4.0 4.9 4.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,081 52,395 53,070 53,047 2,484 2,467 2,739 2,567 4.8 4.7 5.2 4.8

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 662,854 666,052 671,669 674,180 28,405 27,716 31,788 29,436 4.3 4.2 4.7 4.4

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472,381 469,676 480,531 475,298 23,725 22,800 26,075 23,768 5.0 4.9 5.4 5.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,043,391 2,105,730 2,074,431 2,130,689 94,466 69,590 109,759 85,596 4.6 3.3 5.3 4.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,852 58,324 57,574 58,735 3,168 2,238 3,538 2,673 5.6 3.8 6.1 4.6

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 89,240 93,300 90,887 94,022 4,053 3,013 4,555 3,640 4.5 3.2 5.0 3.9

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,279 48,542 47,703 48,947 1,704 1,209 2,273 1,703 3.6 2.5 4.8 3.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,852 183,809 180,392 183,904 8,570 6,552 10,265 8,184 4.8 3.6 5.7 4.5

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 34,205 35,697 34,795 35,928 2,126 1,532 2,376 1,818 6.2 4.3 6.8 5.1

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,945 104,066 102,185 104,437 5,736 4,043 6,400 4,833 5.7 3.9 6.3 4.6

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,267,533 1,301,539 1,274,634 1,312,900 57,105 43,051 65,330 50,859 4.5 3.3 5.1 3.9

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,075 201,698 199,325 205,181 9,508 7,025 11,185 8,753 4.9 3.5 5.6 4.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,484,977 6,479,922 6,521,308 6,511,190 343,548 336,560 370,348 329,780 5.3 5.2 5.7 5.1

Allentown-Bethlehem-Easton. . . . . . . . . . . 437,748 433,357 440,675 434,935 22,165 22,558 23,744 21,878 5.1 5.2 5.4 5.0

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,662 60,751 62,206 61,836 3,057 3,105 3,451 3,186 5.0 5.1 5.5 5.2

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,080 43,022 42,656 42,682 2,288 2,167 2,440 2,136 5.3 5.0 5.7 5.0

Chambersburg-Waynesboro. . . . . . . . . . . 78,196 77,302 78,467 78,188 3,899 3,798 4,238 3,613 5.0 4.9 5.4 4.6

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 82,091 81,818 82,702 82,266 5,124 5,212 5,396 4,911 6.2 6.4 6.5 6.0

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,087 132,721 135,190 132,849 8,632 7,935 9,294 7,780 6.4 6.0 6.9 5.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 56,003 56,237 55,643 56,217 2,102 2,205 2,396 2,224 3.8 3.9 4.3 4.0

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 298,009 301,009 300,751 305,544 13,287 13,482 14,532 13,459 4.5 4.5 4.8 4.4

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,026 60,774 61,962 61,564 4,013 3,726 4,617 4,047 6.5 6.1 7.5 6.6

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,932 284,861 284,292 287,601 11,092 11,351 12,727 11,693 3.9 4.0 4.5 4.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,442 71,222 71,804 72,295 3,077 3,034 3,388 3,086 4.3 4.3 4.7 4.3

Philadelphia-Camden-Wilmington. . . . . . . 3,084,610 3,105,511 3,103,959 3,118,975 155,073 151,442 166,192 150,220 5.0 4.9 5.4 4.8

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,221,476 1,214,133 1,230,414 1,222,571 67,352 64,305 73,140 64,498 5.5 5.3 5.9 5.3

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,620 215,372 215,157 216,626 10,634 10,625 11,343 10,235 5.0 4.9 5.3 4.7

Scranton--Wilkes-Barre--Hazleton. . . . . . . 281,044 278,144 282,209 278,484 16,721 16,322 18,063 15,848 5.9 5.9 6.4 5.7

State College. . . . . . . . . . . . . . . . . . . . . . . . 75,849 79,146 76,570 75,274 3,287 3,272 3,681 3,027 4.3 4.1 4.8 4.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 59,058 57,280 59,141 57,752 4,045 3,444 4,089 3,267 6.8 6.0 6.9 5.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 235,889 235,706 237,337 236,713 10,688 10,874 11,869 11,317 4.5 4.6 5.0 4.8

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 548,407 550,786 556,175 561,084 28,907 20,142 28,574 23,385 5.3 3.7 5.1 4.2

Providence-Warwick. . . . . . . . . . . . . . . . . . 674,616 681,290 683,851 691,448 33,926 26,537 34,192 29,929 5.0 3.9 5.0 4.3

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,301,982 2,318,362 2,329,058 2,346,877 103,766 83,647 122,678 98,632 4.5 3.6 5.3 4.2

Charleston-North Charleston. . . . . . . . . . . 373,644 379,049 378,164 382,684 14,589 11,738 17,295 13,903 3.9 3.1 4.6 3.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,828 404,187 405,145 408,812 17,118 14,033 20,417 16,588 4.2 3.5 5.0 4.1

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,974 97,324 96,599 98,271 4,888 3,976 5,692 4,617 5.1 4.1 5.9 4.7

Greenville-Anderson-Mauldin. . . . . . . . . . . 421,667 423,281 425,443 426,582 17,092 14,034 20,716 16,488 4.1 3.3 4.9 3.9

Hilton Head Island-Bluffton-Beaufort. . . . 85,699 86,128 87,585 88,390 3,494 2,887 4,314 3,460 4.1 3.4 4.9 3.9

Myrtle Beach-Conway-North MyrtleBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193,324 198,526 199,176 202,229 9,770 8,372 10,841 8,992 5.1 4.2 5.4 4.4

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 153,569 155,962 155,513 157,537 6,768 5,427 8,273 6,659 4.4 3.5 5.3 4.2

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,353 43,844 44,715 44,717 2,390 2,029 2,819 2,372 5.4 4.6 6.3 5.3

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 453,250 456,611 461,502 464,174 11,951 13,185 12,784 13,936 2.6 2.9 2.8 3.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,785 73,376 74,141 75,815 2,046 2,248 2,079 2,290 2.9 3.1 2.8 3.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,189 147,876 145,379 148,586 3,228 3,624 3,312 3,687 2.2 2.5 2.3 2.5

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,119,543 3,152,504 3,168,941 3,195,906 130,525 90,745 166,315 133,828 4.2 2.9 5.2 4.2

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 257,757 263,347 263,389 270,091 11,040 8,663 13,832 11,758 4.3 3.3 5.3 4.4

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,657 111,135 110,362 111,187 5,341 4,471 6,594 5,913 4.9 4.0 6.0 5.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,710 58,193 57,292 58,953 2,375 1,659 3,111 2,575 4.2 2.9 5.4 4.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,745 63,346 64,143 64,613 2,741 2,000 3,566 2,861 4.4 3.2 5.6 4.4

See footnotes at end of table.

Page 10: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 88,857 89,228 88,952 89,137 4,120 2,843 5,209 4,181 4.6 3.2 5.9 4.7

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,937 136,351 138,136 137,949 6,238 4,823 7,769 6,316 4.6 3.5 5.6 4.6

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411,371 411,043 418,585 415,319 16,127 11,083 20,912 16,916 3.9 2.7 5.0 4.1

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 619,214 625,358 630,361 637,880 29,939 22,895 37,111 31,196 4.8 3.7 5.9 4.9

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,371 50,887 50,489 51,260 2,314 1,550 2,947 2,275 4.6 3.0 5.8 4.4

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 966,168 995,116 983,781 1,008,028 32,450 22,431 41,441 33,342 3.4 2.3 4.2 3.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,245,519 13,450,012 13,319,665 13,464,322 566,379 591,992 662,948 631,068 4.3 4.4 5.0 4.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,987 74,492 74,326 74,587 2,753 3,000 3,198 3,175 3.7 4.0 4.3 4.3

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,055 133,179 131,475 132,445 3,713 4,110 4,409 4,438 2.8 3.1 3.4 3.4

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,104,558 1,132,217 1,113,964 1,135,351 32,381 36,100 38,503 38,636 2.9 3.2 3.5 3.4

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 172,977 172,842 174,594 173,138 10,787 12,055 12,476 12,651 6.2 7.0 7.1 7.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 165,641 167,830 167,916 168,227 11,119 11,720 13,110 13,167 6.7 7.0 7.8 7.8

College Station-Bryan. . . . . . . . . . . . . . . . . 127,120 129,427 122,747 124,636 4,205 4,156 5,169 4,755 3.3 3.2 4.2 3.8

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 205,510 209,316 206,669 209,570 11,333 11,958 13,018 12,441 5.5 5.7 6.3 5.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,658,856 3,765,846 3,685,363 3,772,902 130,048 142,402 152,209 151,528 3.6 3.8 4.1 4.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349,386 357,718 348,755 356,697 15,907 16,979 18,485 18,018 4.6 4.7 5.3 5.1

Houston-The Woodlands-Sugar Land. . . 3,273,846 3,313,519 3,295,875 3,322,070 159,879 167,570 185,761 176,436 4.9 5.1 5.6 5.3

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 174,565 178,411 175,355 178,152 7,152 7,546 8,468 7,867 4.1 4.2 4.8 4.4

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,807 113,977 113,665 114,681 5,252 5,000 6,246 5,439 4.7 4.4 5.5 4.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,202 97,063 99,001 97,515 5,573 5,188 6,822 5,445 5.7 5.3 6.9 5.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,031 159,844 159,248 160,384 4,908 5,171 6,372 6,209 3.1 3.2 4.0 3.9

McAllen-Edinburg-Mission. . . . . . . . . . . . . 336,373 340,726 338,414 341,875 24,007 25,564 28,572 28,476 7.1 7.5 8.4 8.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,478 86,445 86,550 86,440 3,906 2,929 4,296 3,018 4.5 3.4 5.0 3.5

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,213 74,084 75,298 73,686 4,900 3,435 5,503 3,443 6.5 4.6 7.3 4.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,441 54,736 55,610 54,276 2,383 2,172 2,675 2,266 4.3 4.0 4.8 4.2

San Antonio-New Braunfels. . . . . . . . . . . . 1,130,367 1,152,816 1,136,978 1,153,386 38,879 41,703 46,219 44,921 3.4 3.6 4.1 3.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 60,855 61,688 61,148 61,783 2,170 2,277 2,505 2,379 3.6 3.7 4.1 3.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,430 65,110 66,185 65,886 2,617 2,908 3,048 3,208 4.0 4.5 4.6 4.9

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,344 107,046 106,070 106,994 4,347 4,352 5,140 4,561 4.1 4.1 4.8 4.3

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,068 46,748 46,990 46,859 2,457 2,255 2,847 2,380 5.2 4.8 6.1 5.1

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,310 122,073 122,172 122,217 4,473 4,854 5,459 5,855 3.7 4.0 4.5 4.8

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,021 63,214 64,548 63,422 2,643 2,465 3,045 2,632 4.1 3.9 4.7 4.1

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,504,567 1,569,484 1,519,515 1,583,512 50,903 51,066 57,738 61,470 3.4 3.3 3.8 3.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,883 70,441 68,754 70,322 2,080 1,904 2,399 2,336 3.0 2.7 3.5 3.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 314,790 329,097 317,573 331,884 10,420 10,457 12,020 12,886 3.3 3.2 3.8 3.9

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 281,726 295,717 285,266 299,299 8,726 8,570 10,081 10,762 3.1 2.9 3.5 3.6

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,811 71,914 67,839 72,026 2,383 2,390 2,758 2,943 3.5 3.3 4.1 4.1

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 632,262 660,473 636,978 664,593 19,778 20,954 22,631 25,024 3.1 3.2 3.6 3.8

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342,550 342,190 349,875 347,195 10,313 10,082 12,015 10,799 3.0 2.9 3.4 3.1

Burlington-South Burlington. . . . . . . . . . . . 123,278 124,313 125,844 125,794 2,815 2,825 3,730 3,247 2.3 2.3 3.0 2.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,240,815 4,321,660 4,258,789 4,365,235 158,991 164,111 178,517 171,140 3.7 3.8 4.2 3.9

Blacksburg-Christiansburg-Radford. . . . . 90,867 92,496 88,167 90,469 3,765 3,733 4,414 4,060 4.1 4.0 5.0 4.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 115,042 119,522 115,281 119,941 3,803 4,056 4,475 4,409 3.3 3.4 3.9 3.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 64,072 65,349 64,244 66,255 2,472 2,551 2,926 2,792 3.9 3.9 4.6 4.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,346 122,353 121,417 123,364 5,092 5,331 6,007 5,972 4.2 4.4 4.9 4.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 662,657 680,302 665,575 688,821 25,514 26,405 28,821 27,524 3.9 3.9 4.3 4.0

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,668 160,356 157,626 161,889 5,779 6,118 6,466 6,505 3.7 3.8 4.1 4.0

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 58,748 60,327 59,019 61,060 2,031 2,208 2,230 2,282 3.5 3.7 3.8 3.7

Virginia Beach-Norfolk-Newport News. . . 834,525 841,740 842,727 852,945 35,886 35,654 40,107 37,421 4.3 4.2 4.8 4.4

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,266 70,822 69,761 71,565 2,342 2,358 2,637 2,514 3.4 3.3 3.8 3.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,625,231 3,675,332 3,655,602 3,720,051 190,151 159,034 196,498 165,687 5.2 4.3 5.4 4.5

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 106,702 108,546 107,041 110,443 6,210 5,109 6,482 5,375 5.8 4.7 6.1 4.9

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 117,278 117,177 116,764 118,850 6,818 5,680 6,948 5,644 5.8 4.8 6.0 4.7

Kennewick-Richland. . . . . . . . . . . . . . . . . . 134,929 134,293 140,226 143,239 8,728 7,046 8,730 6,840 6.5 5.2 6.2 4.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,752 44,703 44,233 44,711 3,297 2,630 3,333 2,584 7.4 5.9 7.5 5.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . 57,421 58,727 57,951 59,800 3,784 3,046 3,860 3,057 6.6 5.2 6.7 5.1

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 129,172 132,772 128,455 133,371 7,472 6,268 7,614 6,254 5.8 4.7 5.9 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,020,321 2,057,153 2,025,938 2,053,338 87,384 74,045 93,103 82,798 4.3 3.6 4.6 4.0

Spokane-Spokane Valley. . . . . . . . . . . . . . 255,084 256,635 253,659 258,240 15,899 13,376 16,328 13,186 6.2 5.2 6.4 5.1

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,389 30,747 30,637 31,217 1,611 1,375 1,669 1,402 5.3 4.5 5.4 4.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 62,199 62,358 70,867 71,490 4,138 3,266 3,593 2,878 6.7 5.2 5.1 4.0

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,555 123,914 131,763 136,402 9,494 7,697 8,805 6,878 7.7 6.2 6.7 5.0

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 785,503 780,657 795,837 795,465 45,348 32,239 48,771 40,206 5.8 4.1 6.1 5.1

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,427 44,444 47,153 45,656 3,228 2,058 3,442 2,535 7.0 4.6 7.3 5.6

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 97,444 96,127 98,947 98,644 5,408 4,028 5,766 4,978 5.5 4.2 5.8 5.0

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,124 146,845 147,304 148,758 8,542 7,319 9,375 8,962 5.8 5.0 6.4 6.0

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 66,486 66,900 64,459 65,775 2,928 2,105 3,332 2,773 4.4 3.1 5.2 4.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 39,404 38,782 39,811 39,450 2,169 1,706 2,402 2,078 5.5 4.4 6.0 5.3

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,118 64,296 66,420 65,639 4,371 3,165 4,474 3,638 6.6 4.9 6.7 5.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,106,700 3,136,471 3,164,710 3,206,796 119,416 88,059 141,330 110,577 3.8 2.8 4.5 3.4

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,925 133,398 133,893 137,458 4,372 3,315 5,298 4,167 3.3 2.5 4.0 3.0

See footnotes at end of table.

Page 11: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,487 91,783 92,426 92,355 3,135 2,373 3,817 3,046 3.4 2.6 4.1 3.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 56,869 57,958 57,930 59,565 1,927 1,374 2,370 1,842 3.4 2.4 4.1 3.1

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 171,545 172,176 174,823 176,132 6,204 4,505 7,229 5,627 3.6 2.6 4.1 3.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 83,969 85,988 85,481 87,501 3,566 2,847 4,208 3,315 4.2 3.3 4.9 3.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,960 79,087 78,220 79,754 2,681 2,067 3,223 2,576 3.4 2.6 4.1 3.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380,073 387,849 385,729 392,679 11,279 8,538 13,182 10,536 3.0 2.2 3.4 2.7

Milwaukee-Waukesha-West Allis. . . . . . . 824,744 823,842 834,973 840,126 34,718 25,554 41,407 32,488 4.2 3.1 5.0 3.9

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 92,729 93,669 93,794 95,020 3,296 2,484 3,918 3,187 3.6 2.7 4.2 3.4

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,375 99,020 101,207 101,712 4,658 3,422 5,591 4,236 4.7 3.5 5.5 4.2

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 61,350 62,328 63,766 64,432 2,075 1,555 2,445 1,955 3.4 2.5 3.8 3.0

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,078 74,737 75,171 76,810 2,548 1,868 2,978 2,374 3.5 2.5 4.0 3.1

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302,387 296,884 308,256 300,684 17,102 12,276 17,119 12,151 5.7 4.1 5.6 4.0

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,510 38,878 41,371 38,908 3,183 2,095 3,204 2,054 7.7 5.4 7.7 5.3

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,407 49,322 48,594 48,666 1,985 1,720 2,147 1,785 4.1 3.5 4.4 3.7

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,130,852 1,103,366 1,108,392 1,087,821 127,305 113,284 119,781 102,258 11.3 10.3 10.8 9.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 89,268 88,577 87,849 87,108 12,973 12,492 12,326 11,158 14.5 14.1 14.0 12.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,525 51,572 51,922 50,596 7,143 6,169 6,430 5,477 13.3 12.0 12.4 10.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,497 21,946 22,052 21,395 3,905 3,553 3,613 3,154 17.4 16.2 16.4 14.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 29,033 29,116 28,633 28,626 3,697 3,817 3,435 3,398 12.7 13.1 12.0 11.9

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,060 96,093 96,017 93,952 14,987 13,046 13,423 11,287 15.1 13.6 14.0 12.0

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,914 37,505 36,681 37,276 5,194 5,420 5,093 5,171 14.1 14.5 13.9 13.9

San Juan-Carolina-Caguas. . . . . . . . . . . . 754,214 731,911 739,443 722,157 72,023 61,776 68,624 56,377 9.5 8.4 9.3 7.8

1 For operational reasons, these interstate areas are listed under the state that accounts for the larger share of the population, which is different from the state that contains the first principal city.2 The area boundary does not reflect the Office of Management and Budget delineation.

p Preliminary

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 ofManagement and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are MetropolitanNew 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 firstprincipal city, unless otherwise footnoted. Estimates for the latest month are subject to revision the following month.

Page 12: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitandivision1

State, area, and division

Civilian labor force Unemployed

May June Number Percent of labor force

2016 2017 2016 2017pMay June May June

2016 2017 2016 2017p 2016 2017 2016 2017p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,021,893 19,061,992 19,106,981 19,145,674 941,445 806,265 1,060,958 937,364 4.9 4.2 5.6 4.9

Los Angeles-Long Beach-Anaheim. . . 6,618,082 6,675,467 6,620,438 6,686,875 301,141 256,280 338,351 290,626 4.6 3.8 5.1 4.3

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,595,227 1,577,881 1,599,790 1,584,266 58,245 49,677 68,086 60,783 3.7 3.1 4.3 3.8

Los Angeles-LongBeach-Glendale. . . . . . . . . . . . . . . . 5,022,855 5,097,586 5,020,648 5,102,609 242,896 206,603 270,265 229,843 4.8 4.1 5.4 4.5

San Francisco-Oakland-Hayward. . . . . 2,521,842 2,526,626 2,540,400 2,540,734 86,437 75,783 100,913 91,662 3.4 3.0 4.0 3.6

Oakland-Hayward-Berkeley. . . . . . . . 1,383,841 1,384,059 1,393,850 1,392,337 54,260 46,688 63,285 56,447 3.9 3.4 4.5 4.1

San Francisco-Redwood City-SouthSan Francisco. . . . . . . . . . . . . . . . . 997,874 1,003,069 1,005,271 1,008,234 28,175 25,520 32,822 30,840 2.8 2.5 3.3 3.1

San Rafael. . . . . . . . . . . . . . . . . . . . . . 140,127 139,498 141,279 140,163 4,002 3,575 4,806 4,375 2.9 2.6 3.4 3.1

District of Columbia. . . . . . . . . . . . . . . . . . . 388,784 400,536 394,651 404,935 21,042 21,951 24,938 25,823 5.4 5.5 6.3 6.4

Washington-Arlington-Alexandria2. . . . 3,299,917 3,384,314 3,325,964 3,424,661 117,807 122,955 134,057 132,784 3.6 3.6 4.0 3.9

Silver Spring-Frederick-Rockville3.. . 674,851 688,918 683,185 701,054 21,690 22,447 25,347 24,607 3.2 3.3 3.7 3.5

Washington-Arlington-Alexandria2.. . 2,625,066 2,695,396 2,642,779 2,723,607 96,117 100,508 108,710 108,177 3.7 3.7 4.1 4.0

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,819,355 10,131,353 9,825,069 10,142,085 445,147 405,582 497,771 438,732 4.5 4.0 5.1 4.3

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,043,228 3,151,852 3,038,779 3,147,254 143,101 132,969 157,011 141,098 4.7 4.2 5.2 4.5

Fort Lauderdale-PompanoBeach-Deerfield Beach. . . . . . . . . 1,001,241 1,037,132 1,005,044 1,042,677 43,230 39,371 47,943 42,037 4.3 3.8 4.8 4.0

Miami-Miami Beach-Kendall. . . . . . . 1,333,460 1,387,287 1,324,933 1,374,880 69,007 64,925 73,568 67,481 5.2 4.7 5.6 4.9

West Palm Beach-BocaRaton-Delray Beach. . . . . . . . . . . . 708,527 727,433 708,802 729,697 30,864 28,673 35,500 31,580 4.4 3.9 5.0 4.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,516,889 6,437,920 6,610,567 6,548,143 342,972 275,066 393,374 329,269 5.3 4.3 6.0 5.0

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,906,431 4,851,645 4,998,171 4,960,092 258,403 197,867 300,782 242,770 5.3 4.1 6.0 4.9

Chicago-Naperville-ArlingtonHeights. . . . . . . . . . . . . . . . . . . . . . . 3,787,318 3,740,776 3,862,266 3,826,039 203,515 153,919 240,548 193,342 5.4 4.1 6.2 5.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 320,506 316,035 324,566 320,981 15,236 13,651 16,791 15,311 4.8 4.3 5.2 4.8

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 342,236 338,617 345,803 344,413 19,332 12,642 20,760 13,772 5.6 3.7 6.0 4.0

Lake County-Kenosha County2. . . . 456,371 456,217 465,536 468,659 20,320 17,655 22,683 20,345 4.5 3.9 4.9 4.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,569,607 3,686,201 3,628,844 3,729,449 131,194 152,466 145,385 162,524 3.7 4.1 4.0 4.4

Boston-Cambridge-Nashua2. . . . . . . . . 2,634,593 2,719,187 2,671,559 2,748,756 89,058 102,837 99,141 110,004 3.4 3.8 3.7 4.0

Boston-Cambridge-Newton. . . . . . . . 1,559,619 1,615,390 1,581,769 1,633,856 50,003 58,863 56,439 63,703 3.2 3.6 3.6 3.9

Brockton-Bridgewater-Easton. . . . . . 104,333 108,311 105,239 108,335 4,424 5,082 4,948 5,438 4.2 4.7 4.7 5.0

Framingham. . . . . . . . . . . . . . . . . . . . . 154,122 158,298 156,922 160,633 4,623 5,513 5,187 5,910 3.0 3.5 3.3 3.7

Haverhill-Newburyport-AmesburyTown2. . . . . . . . . . . . . . . . . . . . . . . . 113,395 116,362 115,530 118,300 3,804 4,209 4,118 4,336 3.4 3.6 3.6 3.7

Lawrence-Methuen Town-Salem2. . . 95,326 97,712 96,592 98,157 4,639 5,345 4,923 5,534 4.9 5.5 5.1 5.6

Lowell-Billerica-Chelmsford2. . . . . . . 184,144 190,196 186,839 191,641 6,961 7,879 7,623 8,376 3.8 4.1 4.1 4.4

Lynn-Saugus-Marblehead. . . . . . . . . 83,010 85,083 84,179 86,145 3,111 3,496 3,428 3,728 3.7 4.1 4.1 4.3

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,167 171,573 171,302 174,189 5,120 5,154 5,439 5,166 3.0 3.0 3.2 3.0

Peabody-Salem-Beverly. . . . . . . . . . . 89,806 92,043 90,328 92,873 3,125 3,538 3,472 3,805 3.5 3.8 3.8 4.1

Taunton-Middleborough-Norton. . . . 81,671 84,219 82,859 84,627 3,248 3,758 3,564 4,008 4.0 4.5 4.3 4.7

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,834,360 4,868,861 4,877,133 4,889,522 218,781 179,602 251,290 195,161 4.5 3.7 5.2 4.0

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,053,841 2,088,619 2,074,843 2,086,284 97,170 75,265 118,349 77,278 4.7 3.6 5.7 3.7

Detroit-Dearborn-Livonia. . . . . . . . . . 765,253 778,544 773,600 777,194 42,627 33,739 52,141 35,168 5.6 4.3 6.7 4.5

Warren-Troy-Farmington Hills. . . . . . 1,288,589 1,310,076 1,301,243 1,309,089 54,543 41,527 66,208 42,110 4.2 3.2 5.1 3.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,566,693 9,614,907 9,644,655 9,739,671 414,684 410,183 455,409 440,982 4.3 4.3 4.7 4.5

New York-Newark-Jersey City2. . . . . . 9,985,542 10,048,327 10,063,161 10,152,281 447,542 413,344 487,809 437,319 4.5 4.1 4.8 4.3

Dutchess County-Putnam County.. . 194,130 192,894 195,925 196,378 7,366 7,574 8,086 8,530 3.8 3.9 4.1 4.3

Nassau County-Suffolk County. . . . . 1,480,010 1,477,549 1,501,704 1,511,924 55,196 57,274 59,549 63,468 3.7 3.9 4.0 4.2

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,254,323 1,232,853 1,261,206 1,242,494 61,929 52,291 65,098 54,336 4.9 4.2 5.2 4.4

New York-Jersey City-WhitePlains2. . . . . . . . . . . . . . . . . . . . . . . . 7,057,079 7,145,031 7,104,326 7,201,485 323,051 296,205 355,076 310,985 4.6 4.1 5.0 4.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,484,977 6,479,922 6,521,308 6,511,190 343,548 336,560 370,348 329,780 5.3 5.2 5.7 5.1

Philadelphia-Camden-Wilmington2. . . . 3,084,610 3,105,511 3,103,959 3,118,975 155,073 151,442 166,192 150,220 5.0 4.9 5.4 4.8

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 635,969 639,717 642,611 643,893 31,827 26,859 33,888 28,163 5.0 4.2 5.3 4.4

Montgomery County-BucksCounty-Chester County. . . . . . . . . 1,071,242 1,078,257 1,081,512 1,089,826 44,424 45,464 48,060 43,541 4.1 4.2 4.4 4.0

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,000,507 1,008,784 1,001,334 1,005,342 62,654 62,356 65,244 59,205 6.3 6.2 6.5 5.9

Wilmington3. . . . . . . . . . . . . . . . . . . . . 376,892 378,753 378,502 379,914 16,168 16,763 19,000 19,311 4.3 4.4 5.0 5.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,245,519 13,450,012 13,319,665 13,464,322 566,379 591,992 662,948 631,068 4.3 4.4 5.0 4.7

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,658,856 3,765,846 3,685,363 3,772,902 130,048 142,402 152,209 151,528 3.6 3.8 4.1 4.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,461,514 2,540,725 2,481,071 2,544,573 85,450 95,840 99,932 101,746 3.5 3.8 4.0 4.0

Fort Worth-Arlington. . . . . . . . . . . . . . 1,197,342 1,225,121 1,204,292 1,228,329 44,598 46,562 52,277 49,782 3.7 3.8 4.3 4.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,625,231 3,675,332 3,655,602 3,720,051 190,151 159,034 196,498 165,687 5.2 4.3 5.4 4.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,020,321 2,057,153 2,025,938 2,053,338 87,384 74,045 93,103 82,798 4.3 3.6 4.6 4.0

Seattle-Bellevue-Everett. . . . . . . . . . . 1,618,175 1,646,369 1,625,945 1,639,881 62,389 52,637 67,587 61,693 3.9 3.2 4.2 3.8

Tacoma-Lakewood. . . . . . . . . . . . . . . 402,146 410,784 399,993 413,457 24,995 21,408 25,516 21,105 6.2 5.2 6.4 5.1

1 These 11 areas contain all of the 38 metropolitan divisions.2 Part of the area (or division) is in one or more adjacent states.3 All of the division is in one or more adjacent states.

p Preliminary

NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, 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, N.J., are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.

Page 13: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,981.6 2,010.4 1,981.6 2,016.4 34.8 1.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 46.5 46.5 46.4 -0.1 -0.2

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 65.3 62.6 65.6 3.0 4.8

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521.8 525.5 522.2 528.9 6.7 1.3

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.3 76.4 76.3 78.3 2.0 2.6

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 54.3 54.8 54.7 -0.1 -0.2

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 58.4 57.7 58.3 0.6 1.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 57.4 57.0 57.5 0.5 0.9

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 39.3 38.5 39.2 0.7 1.8

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.9 231.3 225.4 230.0 4.6 2.0

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.9 179.7 180.0 179.5 -0.5 -0.3

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 175.7 174.2 176.4 2.2 1.3

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.9 106.8 104.6 106.6 2.0 1.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.0 334.8 349.2 351.7 2.5 0.7

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.6 179.8 183.1 184.3 1.2 0.7

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 38.4 38.7 37.9 -0.8 -2.1

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,698.8 2,747.5 2,642.0 2,704.7 62.7 2.4

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 67.4 65.7 66.3 0.6 0.9

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 49.1 47.5 48.3 0.8 1.7

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,963.2 2,009.9 1,926.7 1,984.7 58.0 3.0

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.6 62.1 63.4 1.3 2.1

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 34.3 33.3 33.8 0.5 1.5

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374.9 375.2 362.8 364.7 1.9 0.5

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 55.5 51.7 54.1 2.4 4.6

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,233.1 1,254.4 1,226.0 1,251.7 25.7 2.1

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246.0 255.9 243.7 253.9 10.2 4.2

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.0 114.0 114.5 113.6 -0.9 -0.8

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 38.9 38.5 38.9 0.4 1.0

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 57.0 55.5 56.9 1.4 2.5

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.6 354.3 353.7 356.5 2.8 0.8

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.5 33.2 33.1 -0.1 -0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,491.7 16,756.0 16,451.6 16,805.3 353.7 2.1

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.6 259.1 256.1 258.8 2.7 1.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.7 82.9 79.4 82.4 3.0 3.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 53.1 52.1 53.1 1.0 1.9

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.5 344.6 337.8 345.5 7.7 2.3

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.2 38.9 39.4 0.5 1.3

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,985.7 6,042.3 5,944.2 6,046.8 102.6 1.7

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 38.1 36.9 38.4 1.5 4.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 66.2 65.3 67.3 2.0 3.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.7 176.6 171.2 177.7 6.5 3.8

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 72.9 71.1 73.4 2.3 3.2

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.7 308.5 300.3 311.0 10.7 3.6

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.6 67.8 66.3 68.8 2.5 3.8

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,398.1 1,440.8 1,389.0 1,436.7 47.7 3.4

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 950.2 963.2 953.5 972.0 18.5 1.9

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.0 139.0 137.3 139.3 2.0 1.5

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423.5 1,443.0 1,421.6 1,449.4 27.8 2.0

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,337.2 2,380.6 2,339.5 2,394.6 55.1 2.4

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.0 1,084.5 1,073.2 1,090.9 17.7 1.6

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 116.4 118.4 116.3 119.3 3.0 2.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.2 104.3 103.1 105.9 2.8 2.7

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.4 185.8 181.6 184.8 3.2 1.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.3 204.8 201.7 205.9 4.2 2.1

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.8 229.4 224.3 228.9 4.6 2.1

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.9 137.5 136.8 137.2 0.4 0.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.2 127.6 123.4 127.6 4.2 3.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 43.9 42.4 44.5 2.1 5.0

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,579.5 2,636.9 2,610.6 2,670.7 60.1 2.3

See footnotes at end of table.

Page 14: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.4 190.1 185.1 188.4 3.3 1.8

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.3 285.6 281.3 288.1 6.8 2.4

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,429.4 1,460.5 1,442.4 1,479.3 36.9 2.6

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.9 168.6 160.7 172.3 11.6 7.2

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 61.4 61.0 61.1 0.1 0.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.2 102.4 98.0 101.6 3.6 3.7

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.7 61.8 62.5 0.7 1.1

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,691.6 1,699.7 1,700.3 1,714.2 13.9 0.8

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.8 414.9 418.0 421.1 3.1 0.7

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.0 79.7 79.6 80.6 1.0 1.3

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571.7 577.3 574.4 580.6 6.2 1.1

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.5 285.7 285.8 290.1 4.3 1.5

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.4 129.9 131.1 131.7 0.6 0.5

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 67.6 68.2 67.5 -0.7 -1.0

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455.0 459.3 457.9 462.5 4.6 1.0

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.7 70.3 68.7 69.3 0.6 0.9

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.6 162.2 167.6 171.5 3.9 2.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.4 789.5 775.5 791.0 15.5 2.0

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,240.0 3,285.0 3,246.9 3,306.3 59.4 1.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,385.5 8,622.9 8,269.6 8,529.0 259.4 3.1

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.9 258.5 251.2 252.5 1.3 0.5

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 115.2 114.0 117.0 3.0 2.6

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198.2 201.5 194.8 198.9 4.1 2.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.5 142.7 133.8 139.7 5.9 4.4

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.5 33.0 33.1 0.1 0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667.5 689.9 661.8 685.4 23.6 3.6

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.0 222.3 211.2 218.8 7.6 3.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,583.1 2,656.3 2,545.2 2,626.0 80.8 3.2

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 145.0 138.7 141.7 3.0 2.2

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294.3 306.2 290.0 302.9 12.9 4.4

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.6 103.2 99.2 102.1 2.9 2.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,204.3 1,253.1 1,192.1 1,239.3 47.2 4.0

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.6 215.4 207.4 215.9 8.5 4.1

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.9 86.1 85.1 86.8 1.7 2.0

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.7 177.1 171.4 175.0 3.6 2.1

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.4 146.3 139.8 143.9 4.1 2.9

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 48.9 46.4 48.3 1.9 4.1

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.8 49.2 51.1 1.9 3.9

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.8 27.2 24.6 26.0 1.4 5.7

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.2 182.2 172.0 179.3 7.3 4.2

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,295.4 1,335.5 1,281.3 1,327.6 46.3 3.6

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 28.2 27.0 27.9 0.9 3.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,379.2 4,491.2 4,376.0 4,500.2 124.2 2.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.6 61.2 62.2 1.0 1.6

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.5 95.9 94.0 96.3 2.3 2.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,664.3 2,745.7 2,665.7 2,759.8 94.1 3.5

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.1 236.2 234.0 237.2 3.2 1.4

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.4 44.4 44.7 0.3 0.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 121.0 120.1 120.8 0.7 0.6

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.7 70.4 69.7 70.7 1.0 1.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.3 89.9 86.0 89.5 3.5 4.1

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.8 20.2 19.6 20.2 0.6 3.1

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.1 103.3 102.4 103.4 1.0 1.0

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.7 41.5 40.4 41.4 1.0 2.5

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.3 180.0 176.7 180.4 3.7 2.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 56.9 55.9 56.4 0.5 0.9

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.9 74.2 72.9 74.4 1.5 2.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647.6 655.6 643.8 654.5 10.7 1.7

See footnotes at end of table.

Page 15: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 76.3 74.6 76.9 2.3 3.1

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.4 481.0 472.7 480.1 7.4 1.6

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 696.3 714.1 702.1 719.7 17.6 2.5

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.2 317.8 305.0 319.7 14.7 4.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 63.5 63.2 64.4 1.2 1.9

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 64.9 64.9 65.6 0.7 1.1

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.1 29.1 28.2 29.5 1.3 4.6

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.8 37.1 35.9 36.4 0.5 1.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,036.8 6,070.4 6,044.5 6,101.1 56.6 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.7 96.2 91.4 94.5 3.1 3.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 58.5 55.7 57.0 1.3 2.3

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 110.7 105.6 106.0 0.4 0.4

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,664.3 4,701.4 4,689.5 4,749.1 59.6 1.3

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.9 28.3 28.5 28.3 -0.2 -0.7

Davenport-Moline-Rock Island1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.2 184.1 184.4 185.2 0.8 0.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 51.5 51.5 51.5 0.0 0.0

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 45.3 44.5 45.7 1.2 2.7

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.0 177.2 176.1 177.5 1.4 0.8

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.0 151.2 153.3 153.1 -0.2 -0.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.1 116.4 114.7 116.7 2.0 1.7

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,095.8 3,135.5 3,071.4 3,131.9 60.5 2.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.9 72.4 71.9 71.9 0.0 0.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 54.2 52.5 53.7 1.2 2.3

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.8 137.6 132.7 138.5 5.8 4.4

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.0 160.8 158.6 161.2 2.6 1.6

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.5 223.4 217.0 225.1 8.1 3.7

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,047.2 1,067.9 1,041.0 1,072.8 31.8 3.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 42.7 41.1 42.7 1.6 3.9

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.0 105.0 98.8 100.2 1.4 1.4

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 41.3 42.0 41.7 -0.3 -0.7

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.2 50.3 51.0 0.7 1.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 143.2 139.3 143.3 4.0 2.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 71.7 69.2 71.2 2.0 2.9

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,584.3 1,600.4 1,582.6 1,610.5 27.9 1.8

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 53.5 49.0 50.1 1.1 2.2

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.8 145.4 145.6 147.3 1.7 1.2

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.6 369.0 360.9 376.4 15.5 4.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.6 59.9 60.6 0.7 1.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.2 102.9 99.0 102.7 3.7 3.7

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.8 90.0 90.5 90.5 0.0 0.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.5 91.6 90.2 89.9 -0.3 -0.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,419.6 1,415.7 1,409.3 1,413.0 3.7 0.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 55.1 50.1 52.8 2.7 5.4

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.6 41.1 44.3 3.2 7.8

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.2 115.0 113.6 115.0 1.4 1.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299.3 300.2 297.2 300.7 3.5 1.2

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,922.1 1,951.5 1,917.8 1,957.5 39.7 2.1

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.8 78.1 75.2 77.4 2.2 2.9

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 58.2 57.8 59.0 1.2 2.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.5 282.4 274.8 283.1 8.3 3.0

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661.4 674.7 663.1 678.4 15.3 2.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.3 53.5 53.8 0.3 0.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,980.8 1,988.4 1,969.0 1,990.6 21.6 1.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 62.9 63.7 63.2 -0.5 -0.8

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.8 410.2 404.9 409.4 4.5 1.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.5 44.5 45.4 0.9 2.0

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.8 85.7 88.8 86.0 -2.8 -3.2

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.2 200.7 200.9 199.8 -1.1 -0.5

See footnotes at end of table.

Page 16: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Louisiana - Continued

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.7 112.9 108.7 114.3 5.6 5.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 79.8 79.0 80.2 1.2 1.5

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 580.1 579.6 574.8 578.9 4.1 0.7

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.5 179.8 182.0 180.1 -1.9 -1.0

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 619.1 621.8 633.6 638.3 4.7 0.7

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 66.7 66.7 66.9 0.2 0.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 51.4 50.9 51.7 0.8 1.6

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.4 205.1 207.1 211.6 4.5 2.2

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,722.6 2,766.7 2,728.3 2,793.0 64.7 2.4

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,404.3 1,412.6 1,401.7 1,417.4 15.7 1.1

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.6 45.6 46.1 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 39.7 39.5 39.3 -0.2 -0.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.8 107.6 107.4 108.2 0.8 0.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,574.4 3,628.3 3,601.5 3,670.5 69.0 1.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.9 108.7 114.8 117.4 2.6 2.3

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,710.4 2,756.5 2,725.1 2,789.4 64.3 2.4

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.7 51.9 53.0 1.1 2.1

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 70.6 68.3 71.2 2.9 4.2

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 42.2 43.2 44.1 0.9 2.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334.7 339.1 332.3 337.3 5.0 1.5

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.3 288.2 285.0 289.2 4.2 1.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,345.8 4,419.6 4,368.0 4,451.3 83.3 1.9

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.8 217.8 212.0 214.9 2.9 1.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 60.4 59.7 60.6 0.9 1.5

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 35.9 36.8 36.5 -0.3 -0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,985.1 2,026.2 1,999.2 2,043.1 43.9 2.2

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.0 141.9 141.4 142.6 1.2 0.8

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 548.0 559.8 549.1 561.9 12.8 2.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.7 58.5 58.8 59.0 0.2 0.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.9 148.4 145.5 150.1 4.6 3.2

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.7 237.2 226.9 231.7 4.8 2.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.3 38.1 38.3 0.2 0.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 42.8 43.2 43.1 -0.1 -0.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 64.1 65.4 64.9 -0.5 -0.8

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.0 63.7 64.1 0.4 0.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.4 88.7 89.2 90.8 1.6 1.8

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.5 2,964.6 2,923.9 3,001.2 77.3 2.6

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.1 137.3 135.3 139.2 3.9 2.9

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 58.0 56.2 57.3 1.1 2.0

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,967.7 2,015.6 1,973.7 2,038.1 64.4 3.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.1 120.7 120.7 123.3 2.6 2.2

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.7 110.9 108.4 111.2 2.8 2.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,148.7 1,149.7 1,137.5 1,148.3 10.8 0.9

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.3 155.3 155.0 155.8 0.8 0.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 64.7 61.8 64.0 2.2 3.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.7 280.7 277.9 281.9 4.0 1.4

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,861.1 2,901.6 2,863.0 2,910.0 47.0 1.6

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.0 44.5 43.2 -1.3 -2.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.2 101.3 95.9 98.1 2.2 2.3

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.3 78.0 77.4 78.3 0.9 1.2

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.0 81.4 81.1 81.2 0.1 0.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,068.9 1,091.4 1,071.9 1,095.8 23.9 2.2

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 64.1 63.6 64.2 0.6 0.9

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,375.1 1,387.9 1,374.4 1,391.0 16.6 1.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.5 215.8 209.3 212.7 3.4 1.6

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471.1 478.3 475.9 484.5 8.6 1.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 87.0 86.0 87.3 1.3 1.5

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 36.4 36.4 36.8 0.4 1.1

See footnotes at end of table.

Page 17: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Montana - Continued

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 61.8 60.8 61.7 0.9 1.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,023.0 1,034.1 1,020.6 1,039.2 18.6 1.8

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 43.1 42.4 43.4 1.0 2.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.9 191.5 186.1 189.5 3.4 1.8

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500.3 507.2 500.5 511.9 11.4 2.3

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,297.1 1,339.4 1,295.8 1,349.2 53.4 4.1

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.8 29.2 28.8 29.3 0.5 1.7

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 947.4 978.4 945.8 981.0 35.2 3.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.2 225.7 219.0 226.9 7.9 3.6

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.2 679.5 673.8 688.1 14.3 2.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 55.8 52.2 54.1 1.9 3.6

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.9 112.6 111.2 113.5 2.3 2.1

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.1 91.2 93.5 93.6 0.1 0.1

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,088.9 4,137.8 4,148.8 4,208.0 59.2 1.4

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.7 131.0 132.6 134.7 2.1 1.6

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 44.5 51.9 52.0 0.1 0.2

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.3 271.1 267.0 272.3 5.3 2.0

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 60.3 59.2 60.8 1.6 2.7

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 834.3 842.6 822.2 841.5 19.3 2.3

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.2 389.9 386.7 394.3 7.6 2.0

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 48.6 48.5 48.2 -0.3 -0.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.5 73.8 70.9 71.4 0.5 0.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 64.0 64.3 64.6 0.3 0.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,415.8 9,556.4 9,458.3 9,623.1 164.8 1.7

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.7 470.2 465.9 470.1 4.2 0.9

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.4 105.6 104.5 105.1 0.6 0.6

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563.3 567.2 564.8 567.7 2.9 0.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.2 36.5 37.5 37.3 -0.2 -0.5

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 57.0 58.4 59.9 1.5 2.6

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 66.2 63.0 63.7 0.7 1.1

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 62.5 62.8 63.6 0.8 1.3

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,534.3 9,678.7 9,604.7 9,774.2 169.5 1.8

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.1 535.3 536.6 538.2 1.6 0.3

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.5 321.0 317.6 319.8 2.2 0.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.9 127.8 128.1 130.0 1.9 1.5

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 43.4 44.1 44.8 0.7 1.6

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,363.1 4,425.6 4,352.7 4,424.2 71.5 1.6

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.7 192.3 188.2 191.3 3.1 1.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 62.1 60.5 61.8 1.3 2.1

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,151.3 1,186.6 1,148.9 1,182.4 33.5 2.9

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.9 309.3 301.6 310.7 9.1 3.0

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.2 130.7 130.9 131.0 0.1 0.1

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 41.8 41.8 41.9 0.1 0.2

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.8 362.4 355.7 363.0 7.3 2.1

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 79.0 78.6 78.0 -0.6 -0.8

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.2 153.3 150.8 152.4 1.6 1.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 49.7 49.0 49.4 0.4 0.8

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.5 45.3 46.2 0.9 2.0

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 601.1 617.7 602.9 620.8 17.9 3.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 56.0 56.7 56.1 -0.6 -1.1

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.3 128.1 124.6 127.8 3.2 2.6

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.8 262.6 261.6 262.4 0.8 0.3

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437.5 442.1 437.2 444.7 7.5 1.7

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.7 74.2 74.9 74.5 -0.4 -0.5

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.7 143.8 140.1 143.1 3.0 2.1

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 57.3 57.3 57.5 0.2 0.3

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,523.2 5,564.2 5,506.7 5,578.5 71.8 1.3

See footnotes at end of table.

Page 18: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Ohio - Continued

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344.4 343.9 336.4 336.9 0.5 0.1

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.5 173.8 173.7 173.7 0.0 0.0

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088.0 1,110.6 1,083.4 1,116.0 32.6 3.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,063.3 1,071.9 1,063.7 1,084.7 21.0 2.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,065.7 1,081.5 1,062.5 1,084.1 21.6 2.0

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385.6 387.1 383.9 385.5 1.6 0.4

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.2 53.2 53.7 0.5 0.9

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 53.0 53.1 53.6 0.5 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 50.7 50.7 50.8 0.1 0.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.1 312.0 310.7 312.8 2.1 0.7

Weirton-Steubenville1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 41.6 42.3 41.8 -0.5 -1.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.3 225.3 224.8 225.7 0.9 0.4

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,657.8 1,663.1 1,645.0 1,657.2 12.2 0.7

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 28.5 27.6 29.1 1.5 5.4

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 46.2 45.9 46.4 0.5 1.1

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631.2 637.0 625.6 637.3 11.7 1.9

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445.6 444.3 443.6 444.8 1.2 0.3

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,837.9 1,882.0 1,846.6 1,898.9 52.3 2.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 44.6 43.9 44.8 0.9 2.1

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.5 81.4 79.8 82.2 2.4 3.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 42.8 42.3 43.3 1.0 2.4

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.9 160.4 158.3 160.2 1.9 1.2

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 26.6 25.7 26.7 1.0 3.9

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.6 87.0 85.2 87.6 2.4 2.8

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,145.6 1,166.6 1,147.4 1,176.3 28.9 2.5

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.7 164.3 162.7 165.5 2.8 1.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,913.8 5,974.3 5,893.3 5,988.7 95.4 1.6

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367.5 366.9 367.5 368.1 0.6 0.2

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 61.7 62.0 62.5 0.5 0.8

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 42.7 41.2 42.0 0.8 1.9

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 60.0 59.7 60.3 0.6 1.0

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.1 57.7 58.5 0.8 1.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.8 129.3 128.5 129.0 0.5 0.4

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.1 35.5 34.1 35.0 0.9 2.6

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340.0 347.0 340.4 351.2 10.8 3.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 56.2 55.4 56.4 1.0 1.8

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.4 256.6 250.5 256.5 6.0 2.4

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 52.3 51.9 52.5 0.6 1.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,876.3 2,926.3 2,879.9 2,939.5 59.6 2.1

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,171.4 1,180.3 1,170.5 1,185.5 15.0 1.3

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.5 179.8 175.9 179.7 3.8 2.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.1 262.0 260.4 262.0 1.6 0.6

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.7 78.2 73.8 73.7 -0.1 -0.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 52.7 53.1 53.1 0.0 0.0

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.8 186.0 183.7 185.1 1.4 0.8

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493.6 501.2 497.4 504.4 7.0 1.4

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 588.7 594.2 592.4 598.0 5.6 0.9

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,067.5 2,096.6 2,067.7 2,097.9 30.2 1.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347.6 354.9 348.5 355.1 6.6 1.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394.9 399.2 392.0 398.7 6.7 1.7

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.0 90.2 87.3 89.9 2.6 3.0

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.8 414.4 409.6 413.3 3.7 0.9

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 78.6 78.5 79.9 1.4 1.8

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.7 172.1 170.0 174.1 4.1 2.4

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.8 150.9 147.0 150.7 3.7 2.5

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 39.0 39.0 39.3 0.3 0.8

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436.7 441.9 442.9 448.1 5.2 1.2

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 69.3 70.4 71.9 1.5 2.1

See footnotes at end of table.

Page 19: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

South Dakota - Continued

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.9 156.7 154.4 157.5 3.1 2.0

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,963.2 3,024.2 2,942.1 3,004.6 62.5 2.1

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.2 257.6 251.6 260.1 8.5 3.4

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.3 90.0 87.6 88.3 0.7 0.8

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.9 48.8 46.0 48.1 2.1 4.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 69.5 67.9 69.2 1.3 1.9

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.2 80.5 76.8 78.0 1.2 1.6

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.7 121.7 120.6 121.1 0.5 0.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.5 395.8 390.7 390.6 -0.1 0.0

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 636.6 646.0 631.9 645.3 13.4 2.1

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 46.9 44.4 46.2 1.8 4.1

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 945.1 980.9 941.1 975.2 34.1 3.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,026.4 12,299.1 12,034.8 12,348.2 313.4 2.6

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 68.0 67.4 68.3 0.9 1.3

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.0 122.6 120.3 122.1 1.8 1.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998.6 1,026.9 1,003.3 1,031.3 28.0 2.8

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.3 163.5 164.5 164.0 -0.5 -0.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.4 144.0 142.2 143.7 1.5 1.1

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.2 118.3 110.3 113.7 3.4 3.1

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.3 195.8 191.2 196.2 5.0 2.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,500.3 3,612.1 3,508.8 3,624.1 115.3 3.3

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.1 318.5 307.3 317.8 10.5 3.4

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,003.6 3,048.2 3,002.8 3,058.9 56.1 1.9

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 147.8 144.0 148.0 4.0 2.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.9 103.9 102.0 104.4 2.4 2.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.1 96.7 96.8 97.4 0.6 0.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.3 147.7 145.5 148.1 2.6 1.8

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.2 259.3 252.5 258.6 6.1 2.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 88.2 86.3 88.3 2.0 2.3

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.2 69.6 68.5 69.2 0.7 1.0

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 49.2 49.4 48.8 -0.6 -1.2

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,016.1 1,039.7 1,017.0 1,041.3 24.3 2.4

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 47.2 46.6 47.4 0.8 1.7

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 60.6 61.3 60.7 -0.6 -1.0

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 107.0 104.8 107.0 2.2 2.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.0 41.5 42.2 0.7 1.7

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.4 119.5 118.8 118.9 0.1 0.1

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 57.4 58.0 57.8 -0.2 -0.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423.4 1,471.8 1,428.5 1,477.7 49.2 3.4

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 61.8 60.0 61.4 1.4 2.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247.9 257.2 248.4 258.3 9.9 4.0

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.4 245.6 237.1 247.5 10.4 4.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 64.9 61.1 64.2 3.1 5.1

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 698.5 721.8 700.4 723.0 22.6 3.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.0 312.3 313.7 315.7 2.0 0.6

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.6 124.6 125.0 125.2 0.2 0.2

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,925.0 3,970.1 3,942.9 4,003.3 60.4 1.5

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 78.9 74.7 76.1 1.4 1.9

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.4 117.7 114.4 116.9 2.5 2.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.9 67.2 65.7 67.2 1.5 2.3

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.1 103.9 103.9 103.9 0.0 0.0

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664.5 675.9 667.7 682.3 14.6 2.2

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.9 163.7 162.8 164.4 1.6 1.0

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 51.3 50.6 51.7 1.1 2.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.7 772.4 781.3 780.4 -0.9 -0.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 63.2 62.3 63.4 1.1 1.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,248.7 3,328.2 3,265.4 3,344.3 78.9 2.4

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.5 94.0 91.6 94.1 2.5 2.7

See footnotes at end of table.

Page 20: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

Washington - Continued

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.5 89.4 89.8 90.5 0.7 0.8

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 112.2 111.8 114.0 2.2 2.0

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 39.3 39.1 39.1 0.0 0.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 50.5 49.8 51.0 1.2 2.4

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 116.6 113.1 116.5 3.4 3.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,950.7 2,001.7 1,963.6 2,012.9 49.3 2.5

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.4 243.2 242.2 244.6 2.4 1.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 28.8 27.5 28.3 0.8 2.9

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 45.9 45.8 47.5 1.7 3.7

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.7 86.7 84.2 87.3 3.1 3.7

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 761.1 751.2 744.9 750.1 5.2 0.7

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 44.7 45.9 44.9 -1.0 -2.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.8 119.2 119.7 119.6 -0.1 -0.1

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.9 138.9 136.8 138.1 1.3 1.0

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.3 71.5 66.9 68.6 1.7 2.5

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 40.7 40.7 40.6 -0.1 -0.2

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 66.5 67.1 67.0 -0.1 -0.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,933.2 2,968.8 2,951.9 2,996.0 44.1 1.5

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.3 127.8 127.1 130.9 3.8 3.0

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 85.9 85.7 84.9 -0.8 -0.9

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.2 48.9 48.3 49.4 1.1 2.3

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.1 176.3 177.5 177.9 0.4 0.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.0 69.6 68.5 70.2 1.7 2.5

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.0 80.2 78.4 80.1 1.7 2.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.1 402.1 397.4 402.5 5.1 1.3

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864.8 866.5 868.5 873.9 5.4 0.6

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.8 97.6 97.0 97.2 0.2 0.2

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 77.6 78.5 79.1 0.6 0.8

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 62.4 63.3 63.8 0.5 0.8

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.1 73.3 73.2 74.4 1.2 1.6

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.2 280.1 289.1 286.7 -2.4 -0.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.3 37.4 39.4 37.9 -1.5 -3.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 47.1 46.9 47.3 0.4 0.9

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 891.3 882.3 887.7 875.3 -12.4 -1.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 51.1 50.7 50.6 -0.1 -0.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.0 33.4 33.5 32.9 -0.6 -1.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.3 15.3 15.3 15.2 -0.1 -0.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 33.7 33.7 33.6 -0.1 -0.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.9 70.5 70.1 69.8 -0.3 -0.4

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.4 21.0 20.6 20.8 0.2 1.0

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645.2 638.6 640.8 634.0 -6.8 -1.1

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.8 38.4 38.6 0.2 0.5

1 For operational reasons, these interstate areas are listed under the state that accounts for the larger share of the population, which is different from the state that containsthe first principal city.

2 Area boundary does not reflect official OMB delineation.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomesavailable. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website athttps://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 arecounty-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 forthe latest month are subject to revision the following month.

Page 21: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, notseasonally adjusted1

[In thousands]

State, area, and divisionMay June

Change fromJune 2016 to June 2017p

2016 2017 2016 2017p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,491.7 16,756.0 16,451.6 16,805.3 353.7 2.1

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,985.7 6,042.3 5,944.2 6,046.8 102.6 1.7

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,582.2 1,588.9 1,575.9 1,594.9 19.0 1.2

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,403.5 4,453.4 4,368.3 4,451.9 83.6 1.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,337.2 2,380.6 2,339.5 2,394.6 55.1 2.4

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,134.4 1,154.1 1,133.5 1,160.0 26.5 2.3

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,087.9 1,110.5 1,090.6 1,117.7 27.1 2.5

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.9 116.0 115.4 116.9 1.5 1.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.4 789.5 775.5 791.0 15.5 2.0

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,240.0 3,285.0 3,246.9 3,306.3 59.4 1.8

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595.9 607.5 598.1 609.9 11.8 2.0

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,644.1 2,677.5 2,648.8 2,696.4 47.6 1.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,385.5 8,622.9 8,269.6 8,529.0 259.4 3.1

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,583.1 2,656.3 2,545.2 2,626.0 80.8 3.2

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 819.2 850.0 809.5 844.6 35.1 4.3

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,155.8 1,183.2 1,138.3 1,165.2 26.9 2.4

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 608.1 623.1 597.4 616.2 18.8 3.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,036.8 6,070.4 6,044.5 6,101.1 56.6 0.9

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,664.3 4,701.4 4,689.5 4,749.1 59.6 1.3

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,719.7 3,745.8 3,740.4 3,780.0 39.6 1.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.2 255.4 256.3 257.8 1.5 0.6

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.4 281.6 275.2 282.0 6.8 2.5

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.0 418.6 417.6 429.3 11.7 2.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,574.4 3,628.3 3,601.5 3,670.5 69.0 1.9

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,710.4 2,756.5 2,725.1 2,789.4 64.3 2.4

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,818.9 1,854.8 1,827.8 1,878.6 50.8 2.8

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 82.2 79.8 81.2 1.4 1.8

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.2 175.1 176.6 178.5 1.9 1.1

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 69.0 68.5 70.6 2.1 3.1

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.0 84.0 84.6 84.2 -0.4 -0.5

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.7 156.7 155.4 157.7 2.3 1.5

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 45.9 46.5 46.8 0.3 0.6

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.5 130.6 129.1 132.5 3.4 2.6

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.3 97.6 96.3 98.3 2.0 2.1

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.8 60.6 60.5 61.0 0.5 0.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,345.8 4,419.6 4,368.0 4,451.3 83.3 1.9

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,985.1 2,026.2 1,999.2 2,043.1 43.9 2.2

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 747.2 764.0 751.1 768.7 17.6 2.3

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,237.9 1,262.2 1,248.1 1,274.4 26.3 2.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,415.8 9,556.4 9,458.3 9,623.1 164.8 1.7

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,534.3 9,678.7 9,604.7 9,774.2 169.5 1.8

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.5 147.8 146.2 148.2 2.0 1.4

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,335.1 1,354.8 1,353.4 1,374.9 21.5 1.6

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,202.5 1,196.2 1,212.4 1,211.4 -1.0 -0.1

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,850.2 6,979.9 6,892.7 7,039.7 147.0 2.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,913.8 5,974.3 5,893.3 5,988.7 95.4 1.6

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,876.3 2,926.3 2,879.9 2,939.5 59.6 2.1

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531.7 541.8 539.0 549.0 10.0 1.9

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,053.0 1,069.7 1,056.2 1,081.3 25.1 2.4

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931.7 951.3 924.6 945.6 21.0 2.3

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.9 363.5 360.1 363.6 3.5 1.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,026.4 12,299.1 12,034.8 12,348.2 313.4 2.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,500.3 3,612.1 3,508.8 3,624.1 115.3 3.3

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,489.3 2,575.5 2,497.8 2,583.0 85.2 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,011.0 1,036.6 1,011.0 1,041.1 30.1 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,248.7 3,328.2 3,265.4 3,344.3 78.9 2.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,950.7 2,001.7 1,963.6 2,012.9 49.3 2.5

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,643.8 1,686.2 1,655.9 1,696.1 40.2 2.4

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306.9 315.5 307.7 316.8 9.1 3.0

1 These 11 areas contain all of the 38 metropolitan divisions.2 Part of the area (or division) is in one or more adjacent states.3 All of the division is in one or more adjacent states.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions arebased on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and available at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland 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 principalcity. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, N.J., are totally outside the states under which theirmetropolitan areas are listed.For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision thefollowing month.

Page 22: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

Map 1. Unemployment rates for metropolitan areas, not seasonally adjusted, June 2017

(U.S. rate = 4.5 percent)

Map includes data for 388 metropolitan areas based on Office of Management and Budget Bulletin No. 15-01. Areas in the six New England states are Metro-politan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:

Above U.S. average

U.S. average or below

Page 23: METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT-JUNE 2017 · METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2017. Unemployment rates were lower in June than a year earlier in

Map 2. Over-the-year percentage change in employment, by metropolitan area, not seasonally adjusted, June 2017

(U.S. average = 1.5 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388metropolitan areas based on Office ofManagment and Budget Bulletin No. 15-01. Areas in the six New England statesare Metropolitan New England City andTown areas (NECTAs), while areas inother states are county based.