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For release 10:00 a.m. (EDT) Wednesday, August 3, 2016 USDL-16-1592 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 2016 Unemployment rates were lower in June than a year earlier in 285 of the 387 metropolitan areas, higher in 75 areas, and unchanged in 27 areas, the U.S. Bureau of Labor Statistics reported today. Eight areas had jobless rates of less than 3.0 percent and six areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 329 metropolitan areas, decreased in 47 areas, and was unchanged in 11 areas. The national unemployment rate in June was 5.1 percent, not seasonally adjusted, down from 5.5 percent a year earlier. Metropolitan Area Unemployment (Not Seasonally Adjusted) In June, the lowest unemployment rate was in Sioux Falls, S.D., 2.3 percent. El Centro, Calif., had the highest unemployment rate, 23.7 percent. A total of 191 areas had June jobless rates below the U.S. rate of 5.1 percent, 180 areas had rates above it, and 16 areas had rates equal to that of the nation. (See table 1 and map 1.) Atlantic City-Hammonton, N.J., had the largest over-the-year unemployment rate decrease in June (-1.9 percentage points). Thirty-six other areas had rate declines of at least 1.0 percentage point. The largest over-the-year rate increase occurred in Casper, Wyo. (+2.7 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Austin-Round Rock, Texas, had the lowest unemployment rate in June, 3.3 percent. Las Vegas-Henderson- Paradise, Nev., had the highest rate among the large areas, 6.9 percent. Forty-two large areas had over-the-year unemployment rate decreases, eight had increases, and one had no change. The largest rate decrease occurred in Los Angeles-Long Beach-Anaheim, Calif. (-1.3 percentage points). The largest over-the-year rate increase occurred in Houston-The Woodlands-Sugar Land, Texas (+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

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Page 1: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

For release 10:00 a.m. (EDT) Wednesday, August 3, 2016 USDL-16-1592 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 2016 Unemployment rates were lower in June than a year earlier in 285 of the 387 metropolitan areas, higher in 75 areas, and unchanged in 27 areas, the U.S. Bureau of Labor Statistics reported today. Eight areas had jobless rates of less than 3.0 percent and six areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 329 metropolitan areas, decreased in 47 areas, and was unchanged in 11 areas. The national unemployment rate in June was 5.1 percent, not seasonally adjusted, down from 5.5 percent a year earlier. Metropolitan Area Unemployment (Not Seasonally Adjusted) In June, the lowest unemployment rate was in Sioux Falls, S.D., 2.3 percent. El Centro, Calif., had the highest unemployment rate, 23.7 percent. A total of 191 areas had June jobless rates below the U.S. rate of 5.1 percent, 180 areas had rates above it, and 16 areas had rates equal to that of the nation. (See table 1 and map 1.) Atlantic City-Hammonton, N.J., had the largest over-the-year unemployment rate decrease in June (-1.9 percentage points). Thirty-six other areas had rate declines of at least 1.0 percentage point. The largest over-the-year rate increase occurred in Casper, Wyo. (+2.7 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Austin-Round Rock, Texas, had the lowest unemployment rate in June, 3.3 percent. Las Vegas-Henderson-Paradise, Nev., had the highest rate among the large areas, 6.9 percent. Forty-two large areas had over-the-year unemployment rate decreases, eight had increases, and one had no change. The largest rate decrease occurred in Los Angeles-Long Beach-Anaheim, Calif. (-1.3 percentage points). The largest over-the-year rate increase occurred in Houston-The Woodlands-Sugar Land, Texas (+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

Page 2: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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lowest unemployment rate among the divisions, 3.1 percent. Detroit-Dearborn-Livonia, Mich., had the highest division rate, 6.8 percent. (See table 2.) In June, 35 metropolitan divisions had over-the-year unemployment rate decreases, 2 had increases, and 1 had no change. The largest rate decline occurred in Los Angeles-Long Beach-Glendale, Calif. (-1.7 percentage points). The largest over-the-year rate increase occurred in Tacoma-Lakewood, Wash. (+0.3 percentage point). Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) In June, 329 metropolitan areas had over-the-year increases in nonfarm payroll employment, 47 had decreases, and 11 had no change. The largest over-the-year employment increases occurred in New York-Newark-Jersey City, N.Y.-N.J.-Pa. (+196,500), Los Angeles-Long Beach-Anaheim, Calif. (+171,900), and Dallas-Fort Worth-Arlington, Texas (+114,100). The largest over-the-year percentage gain in employment occurred in Madera, Calif. (+8.4 percent), followed by St. George, Utah (+6.7 percent), and Janesville-Beloit, Wis. (+5.4 percent). (See table 3 and map 2.) The largest over-the-year decreases in employment occurred in Lafayette, La. (-6,900), Davenport-Moline-Rock Island, Iowa-Ill. (-5,500), and Houma-Thibodaux, La. (-4,400). The largest over-the-year percentage decreases in employment occurred in Casper, Wyo. (-5.0 percent), Houma-Thibodaux, La. (-4.5 percent), and Odessa, Texas (-3.3 percent). Over the year, nonfarm employment rose in all of the 51 metropolitan areas with a 2010 Census population of 1 million or more. The largest over-the-year percentage increase in employment in these large metropolitan areas occurred in Orlando-Kissimmee-Sanford, Fla. (+4.5 percent), followed by Austin-Round Rock, Texas (+4.0 percent), and San Jose-Sunnyvale-Santa Clara, Calif. (+3.9 percent). Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) In June, nonfarm payroll employment increased in all of the 38 metropolitan divisions over the year. The largest over-the-year increase in employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, N.Y.-N.J. (+158,300), followed by Los Angeles-Long Beach-Glendale, Calif. (+122,500), and Dallas-Plano-Irving, Texas (+99,600). (See table 4.) The largest over-the-year percentage increase in employment among the metropolitan divisions occurred in Fort Lauderdale-Pompano Beach-Deerfield Beach, Fla. (+4.5 percent), followed by Dallas-Plano-Irving, Texas (+4.1 percent), and San Rafael, Calif. (+4.0 percent). _____________ The Regional and State Employment and Unemployment news release for July is scheduled to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is scheduled to be released on Wednesday, August 31, 2016, at 10:00 a.m. (EDT).

Page 3: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

Technical Note This release presents labor force and unemployment data

from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 387 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, Regional and 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.

Labor force and unemployment—from the LAUS program

Definitions. The 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 employment and unemployment 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 (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 labor force is the sum of employed and unemployed persons. The unemployment rate is the number of unemployed as a percent of the 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. Employment estimates, 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 data 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 state or balance-of-state totals. A detailed description of the estimation procedures is available from BLS upon request.

Annual revisions. 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, a model-based approach is used in estimation. These models

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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 of 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. Unemployment rates are computed from unrounded data and thus may differ slightly from rates computed using the rounded data displayed in the tables.

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 are available for metropolitan areas or metropolitan divisions 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/benchmark2016.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 February 28, 2013. 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 labor force and unemployment data for states, census regions and divisions, and seven substate areas are available in the news release Regional and State Employment and Unemployment. Estimates of 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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,157,591 2,175,802 2,164,225 2,196,562 132,164 124,630 143,670 143,404 6.1 5.7 6.6 6.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . 46,379 46,317 46,288 46,778 3,257 2,989 3,487 3,418 7.0 6.5 7.5 7.3

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 71,452 73,048 71,573 73,873 3,666 3,631 4,170 4,400 5.1 5.0 5.8 6.0

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 533,798 538,867 534,153 544,704 29,469 28,879 31,510 32,762 5.5 5.4 5.9 6.0

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 88,912 90,973 90,412 93,122 4,744 4,622 5,033 5,089 5.3 5.1 5.6 5.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,325 69,286 69,710 69,818 4,299 3,982 4,641 4,469 6.2 5.7 6.7 6.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,513 62,492 63,111 62,873 3,905 3,647 4,206 4,046 6.2 5.8 6.7 6.4

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,828 67,192 66,694 67,776 4,978 4,330 5,365 4,937 7.4 6.4 8.0 7.3

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,465 44,433 43,478 44,586 2,658 2,535 2,867 2,885 6.1 5.7 6.6 6.5

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,272 211,699 210,046 213,162 11,620 10,673 12,716 12,281 5.5 5.0 6.1 5.8

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,116 185,419 184,252 185,810 12,864 11,979 14,147 13,948 7.0 6.5 7.7 7.5

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 170,180 170,304 169,832 172,236 10,036 9,262 10,936 10,776 5.9 5.4 6.4 6.3

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 112,013 113,888 112,226 114,559 6,525 6,424 7,240 7,813 5.8 5.6 6.5 6.8

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364,910 360,368 371,633 367,523 22,994 23,878 24,586 24,837 6.3 6.6 6.6 6.8

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 202,913 202,217 204,085 204,287 11,078 11,943 12,033 12,750 5.5 5.9 5.9 6.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,445 46,578 46,508 45,697 2,415 2,587 2,656 2,618 5.1 5.6 5.7 5.7

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,148,508 3,227,323 3,157,676 3,233,403 188,462 176,769 202,400 199,882 6.0 5.5 6.4 6.2

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,178 73,572 75,292 76,023 4,497 4,207 5,026 5,123 6.1 5.7 6.7 6.7

Lake Havasu City-Kingman. . . . . . . . . . . . 79,866 80,446 80,394 80,319 6,087 5,339 6,470 6,002 7.6 6.6 8.0 7.5

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,152,636 2,214,817 2,163,417 2,222,639 108,217 104,254 119,174 118,437 5.0 4.7 5.5 5.3

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,159 101,033 98,463 102,399 5,112 4,855 5,739 5,533 5.2 4.8 5.8 5.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,750 50,523 51,086 51,204 3,689 3,253 3,876 3,615 7.3 6.4 7.6 7.1

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464,508 478,709 459,329 472,008 24,832 23,767 27,518 27,135 5.3 5.0 6.0 5.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,829 97,214 96,627 97,464 23,808 20,395 21,655 21,629 24.3 21.0 22.4 22.2

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,336,245 1,361,449 1,349,251 1,372,077 72,301 52,060 73,629 57,950 5.4 3.8 5.5 4.2

Fayetteville-Springdale-Rogers. . . . . . . . . 252,914 263,569 255,723 266,328 10,415 7,383 10,417 8,350 4.1 2.8 4.1 3.1

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,228 121,906 122,779 123,083 6,989 5,604 7,049 6,093 5.7 4.6 5.7 5.0

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,373 40,985 40,683 41,419 2,329 1,678 2,349 1,850 5.8 4.1 5.8 4.5

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 60,926 62,475 61,587 63,096 2,983 2,019 3,138 2,329 4.9 3.2 5.1 3.7

Little Rock-North Little Rock-Conway. . . . 346,483 354,812 349,563 359,122 16,911 12,073 16,913 13,403 4.9 3.4 4.8 3.7

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,870 36,617 37,225 37,044 2,633 1,911 2,730 2,128 7.1 5.2 7.3 5.7

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,036,611 18,984,655 18,999,793 19,181,189 1,164,888 898,746 1,179,350 1,087,685 6.1 4.7 6.2 5.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 397,707 394,813 391,477 398,502 40,513 38,079 40,532 42,924 10.2 9.6 10.4 10.8

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,022 101,543 101,772 102,616 7,112 5,890 7,413 7,348 6.9 5.8 7.3 7.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,858 79,316 79,518 81,426 18,793 16,957 18,987 19,279 23.5 21.4 23.9 23.7

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449,811 451,463 448,685 456,266 44,391 37,960 43,479 42,786 9.9 8.4 9.7 9.4

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 59,413 58,047 58,314 58,238 5,927 4,999 6,009 5,938 10.0 8.6 10.3 10.2

Los Angeles-Long Beach-Anaheim. . . . . 6,622,481 6,592,869 6,591,688 6,653,446 412,989 271,903 415,741 331,429 6.2 4.1 6.3 5.0

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,965 61,445 61,030 62,576 6,309 5,159 6,135 5,870 10.3 8.4 10.1 9.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,034 114,790 115,639 116,350 12,912 11,067 12,532 12,287 11.2 9.6 10.8 10.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244,060 243,624 242,663 246,027 23,282 19,306 23,193 22,580 9.5 7.9 9.6 9.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,916 75,684 75,898 76,757 3,167 2,576 3,176 3,194 4.2 3.4 4.2 4.2

Oxnard-Thousand Oaks-Ventura. . . . . . . 432,614 426,000 429,898 427,957 23,126 18,957 23,603 23,301 5.3 4.5 5.5 5.4

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,190 73,979 75,590 75,379 5,697 4,527 5,633 5,410 7.6 6.1 7.5 7.2

Riverside-San Bernardino-Ontario. . . . . . 1,958,071 1,958,609 1,956,018 1,977,933 125,609 103,381 130,832 129,761 6.4 5.3 6.7 6.6

Sacramento--Roseville--Arden-Arcade. . . 1,061,229 1,054,937 1,065,550 1,072,860 60,511 49,180 61,725 60,570 5.7 4.7 5.8 5.6

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226,436 226,210 229,352 231,008 15,750 13,298 14,726 14,320 7.0 5.9 6.4 6.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,565,494 1,560,360 1,567,145 1,576,952 78,949 65,171 80,995 80,585 5.0 4.2 5.2 5.1

San Francisco-Oakland-Hayward. . . . . . . 2,504,339 2,505,230 2,504,935 2,525,364 103,829 84,601 107,089 105,379 4.1 3.4 4.3 4.2

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,046,412 1,057,529 1,050,640 1,069,075 43,550 35,797 44,437 44,238 4.2 3.4 4.2 4.1

San Luis Obispo-Paso Robles-ArroyoGrande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 145,183 144,971 146,077 147,238 6,298 5,104 6,579 6,611 4.3 3.5 4.5 4.5

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 146,361 145,311 147,873 149,257 9,971 8,523 9,399 9,374 6.8 5.9 6.4 6.3

Santa Maria-Santa Barbara. . . . . . . . . . . . 222,600 222,950 221,422 224,352 10,512 8,785 10,791 11,045 4.7 3.9 4.9 4.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,366 260,048 260,951 263,268 11,194 8,906 11,604 11,119 4.3 3.4 4.4 4.2

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 321,118 322,688 317,356 325,588 27,262 22,761 27,629 27,139 8.5 7.1 8.7 8.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 206,632 206,093 207,170 208,427 12,383 9,961 12,573 12,218 6.0 4.8 6.1 5.9

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 208,748 207,105 205,799 207,629 22,470 19,554 22,568 22,370 10.8 9.4 11.0 10.8

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,678 72,741 73,735 74,003 7,433 6,140 7,246 6,950 10.1 8.4 9.8 9.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,824,897 2,888,425 2,852,411 2,915,108 112,017 102,737 118,507 117,824 4.0 3.6 4.2 4.0

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,242 181,345 176,534 181,433 5,771 5,228 6,174 6,203 3.3 2.9 3.5 3.4

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 320,488 326,140 322,234 328,114 14,691 13,049 15,959 15,348 4.6 4.0 5.0 4.7

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,506,096 1,545,640 1,516,377 1,554,973 56,082 50,910 59,346 59,006 3.7 3.3 3.9 3.8

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 181,607 186,864 183,442 187,320 6,032 5,589 6,423 6,426 3.3 3.0 3.5 3.4

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 72,513 73,147 72,085 73,233 4,001 4,153 4,407 4,808 5.5 5.7 6.1 6.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148,686 152,770 148,662 152,269 5,832 5,539 6,338 6,404 3.9 3.6 4.3 4.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,544 73,894 72,284 73,772 4,075 3,726 4,378 4,377 5.6 5.0 6.1 5.9

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,895,146 1,894,548 1,905,317 1,922,539 105,395 101,415 106,216 113,532 5.6 5.4 5.6 5.9

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 466,511 468,112 470,000 476,118 25,335 24,365 25,512 26,973 5.4 5.2 5.4 5.7

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,409 107,638 107,806 109,007 4,733 4,723 4,750 5,436 4.4 4.4 4.4 5.0

Hartford-West Hartford-East Hartford. . . . 617,445 617,345 619,855 624,654 34,351 33,327 34,732 38,134 5.6 5.4 5.6 6.1

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 324,179 322,056 325,912 329,453 18,304 17,502 18,437 19,462 5.6 5.4 5.7 5.9

See footnotes at end of table.

Page 6: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 142,607 142,333 144,556 144,071 8,492 7,754 8,502 8,585 6.0 5.4 5.9 6.0

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,674 111,082 111,903 112,715 7,904 7,231 7,909 7,798 7.1 6.5 7.1 6.9

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464,051 479,590 470,772 484,933 21,514 18,813 24,359 22,812 4.6 3.9 5.2 4.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,130 77,915 76,612 77,734 4,047 3,443 4,489 4,132 5.3 4.4 5.9 5.3

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 184,894 188,454 194,242 200,336 10,564 8,848 10,993 9,716 5.7 4.7 5.7 4.8

District of Columbia. . . . . . . . . . . . . . . . . . . . . 384,242 392,578 390,496 399,446 25,361 20,369 27,536 24,461 6.6 5.2 7.1 6.1

Washington-Arlington-Alexandria. . . . . . . 3,296,795 3,281,673 3,307,168 3,323,015 149,907 116,363 154,469 130,752 4.5 3.5 4.7 3.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,756,834 9,749,076 9,691,201 9,766,839 538,880 426,600 541,500 478,016 5.5 4.4 5.6 4.9

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 322,277 326,658 317,826 324,281 16,623 13,090 16,667 14,880 5.2 4.0 5.2 4.6

Crestview-Fort Walton Beach-Destin. . . . 123,015 121,498 124,254 124,066 5,586 4,359 5,503 4,976 4.5 3.6 4.4 4.0

Deltona-Daytona Beach-OrmondBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286,057 288,526 283,821 289,712 17,190 13,252 17,007 14,815 6.0 4.6 6.0 5.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 138,090 137,807 133,893 135,758 6,527 5,232 6,703 6,400 4.7 3.8 5.0 4.7

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,577 47,224 48,320 47,562 3,717 2,894 3,665 3,239 7.7 6.1 7.6 6.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 730,389 734,860 730,138 741,195 39,304 30,317 40,283 35,036 5.4 4.1 5.5 4.7

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 282,400 280,353 280,251 280,657 17,578 13,659 17,997 16,025 6.2 4.9 6.4 5.7

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,040,504 3,015,358 3,012,143 3,010,571 172,099 140,510 172,533 150,543 5.7 4.7 5.7 5.0

Naples-Immokalee-Marco Island. . . . . . . . 163,046 162,160 159,583 160,725 8,204 6,559 8,723 7,799 5.0 4.0 5.5 4.9

North Port-Sarasota-Bradenton. . . . . . . . . 347,530 346,517 344,910 346,725 17,482 13,889 17,245 15,630 5.0 4.0 5.0 4.5

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,543 131,133 131,178 131,855 8,717 6,851 8,622 7,664 6.6 5.2 6.6 5.8

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,231,921 1,251,451 1,230,772 1,260,129 63,496 49,621 63,908 56,837 5.2 4.0 5.2 4.5

Palm Bay-Melbourne-Titusville. . . . . . . . . 260,096 255,313 259,408 258,551 15,761 12,106 15,592 13,494 6.1 4.7 6.0 5.2

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 95,491 94,089 96,307 95,938 5,170 4,026 5,071 4,444 5.4 4.3 5.3 4.6

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 216,263 212,947 215,012 214,386 11,652 9,157 11,879 10,853 5.4 4.3 5.5 5.1

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 202,975 202,074 200,676 200,863 12,163 9,612 12,387 11,096 6.0 4.8 6.2 5.5

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 68,288 67,831 67,373 68,054 4,058 3,201 3,946 3,560 5.9 4.7 5.9 5.2

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 61,796 61,180 61,312 61,440 4,269 3,394 4,407 3,851 6.9 5.5 7.2 6.3

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,243 36,163 34,043 34,546 2,645 2,023 2,654 2,345 7.3 5.6 7.8 6.8

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 185,510 185,322 185,249 185,652 9,949 7,768 10,281 9,399 5.4 4.2 5.5 5.1

Tampa-St. Petersburg-Clearwater. . . . . . 1,458,089 1,469,598 1,453,292 1,474,415 77,203 60,259 76,833 67,986 5.3 4.1 5.3 4.6

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 28,891 28,866 28,487 29,047 2,247 1,820 2,099 1,905 7.8 6.3 7.4 6.6

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,798,766 4,850,483 4,777,896 4,909,991 292,266 229,794 299,459 272,908 6.1 4.7 6.3 5.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,308 66,194 64,973 66,836 4,729 3,714 4,858 4,401 7.2 5.6 7.5 6.6

Athens-Clarke County. . . . . . . . . . . . . . . . . 93,084 95,819 93,206 97,335 5,389 4,180 5,774 5,464 5.8 4.4 6.2 5.6

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,851,166 2,886,883 2,838,467 2,921,019 165,971 131,203 169,168 154,628 5.8 4.5 6.0 5.3

Augusta-Richmond County. . . . . . . . . . . . . 257,113 256,847 256,743 260,507 16,597 13,610 17,202 15,668 6.5 5.3 6.7 6.0

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,660 51,426 50,492 52,431 3,298 2,529 3,295 2,926 6.5 4.9 6.5 5.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,399 124,503 124,796 125,592 8,846 7,096 9,147 8,291 7.1 5.7 7.3 6.6

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,663 60,743 60,592 61,455 3,999 3,214 4,127 3,884 6.6 5.3 6.8 6.3

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,828 94,745 92,560 96,273 4,638 3,632 4,792 4,479 5.0 3.8 5.2 4.7

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,350 32,024 31,788 32,179 2,081 1,616 2,100 1,917 6.4 5.0 6.6 6.0

Macon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,628 104,058 103,419 105,581 6,855 5,307 7,050 6,228 6.6 5.1 6.8 5.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,082 42,783 42,899 43,531 2,915 2,271 3,013 2,721 6.8 5.3 7.0 6.3

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,206 180,347 176,506 183,984 10,249 8,068 10,633 9,875 5.8 4.5 6.0 5.4

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,216 63,514 62,294 63,888 3,886 3,009 4,054 3,653 6.1 4.7 6.5 5.7

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 81,328 81,140 81,138 82,330 5,150 4,001 5,293 4,772 6.3 4.9 6.5 5.8

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675,441 682,080 680,048 686,455 24,355 21,413 28,093 26,605 3.6 3.1 4.1 3.9

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 83,572 85,574 84,824 85,822 3,035 2,781 3,537 3,344 3.6 3.2 4.2 3.9

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 468,530 469,456 468,948 471,817 16,020 13,808 18,271 17,179 3.4 2.9 3.9 3.6

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797,300 812,670 808,677 821,795 29,932 26,721 32,158 29,734 3.8 3.3 4.0 3.6

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 323,150 330,402 326,391 334,246 12,144 10,565 13,255 12,147 3.8 3.2 4.1 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 71,926 73,720 73,599 75,056 3,025 2,890 3,180 3,064 4.2 3.9 4.3 4.1

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,016 66,736 66,406 67,597 2,059 1,870 2,220 2,106 3.2 2.8 3.3 3.1

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,734 31,400 30,673 31,380 1,164 1,087 1,179 1,182 3.8 3.5 3.8 3.8

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,409 43,214 41,874 42,285 1,559 1,282 1,640 1,421 3.7 3.0 3.9 3.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,520,791 6,594,464 6,589,926 6,664,394 373,226 368,542 394,985 398,121 5.7 5.6 6.0 6.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 99,827 97,642 97,828 95,839 4,452 5,108 4,887 5,147 4.5 5.2 5.0 5.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,075 59,130 59,067 57,923 3,358 3,609 3,627 3,518 5.6 6.1 6.1 6.1

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 120,481 120,747 117,017 117,026 5,725 6,218 6,278 6,219 4.8 5.1 5.4 5.3

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,896,443 4,970,947 4,957,812 5,053,549 284,763 269,270 297,253 303,665 5.8 5.4 6.0 6.0

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,660 35,504 35,769 35,271 2,316 2,571 2,516 2,516 6.5 7.2 7.0 7.1

Davenport-Moline-Rock Island1. . . . . . . . . 193,273 188,042 195,496 189,196 10,137 10,271 10,375 10,684 5.2 5.5 5.3 5.6

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,395 49,925 50,983 50,064 3,281 3,380 3,600 3,427 6.5 6.8 7.1 6.8

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,952 54,801 55,453 54,738 3,439 3,529 3,646 3,352 6.3 6.4 6.6 6.1

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,265 184,767 188,588 184,755 10,762 12,057 11,602 11,661 5.8 6.5 6.2 6.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168,434 170,063 170,626 171,216 10,659 11,169 11,295 10,838 6.3 6.6 6.6 6.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,251 111,377 111,692 111,602 5,295 5,379 5,623 5,248 4.8 4.8 5.0 4.7

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,286,281 3,368,421 3,297,485 3,409,386 159,838 146,080 157,333 157,430 4.9 4.3 4.8 4.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,496 75,695 74,966 76,057 3,916 3,557 4,266 4,162 5.2 4.7 5.7 5.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,477 45,329 43,499 45,925 1,558 1,489 1,590 1,627 3.6 3.3 3.7 3.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 105,426 105,941 106,852 106,494 4,073 3,739 4,138 4,207 3.9 3.5 3.9 4.0

See footnotes at end of table.

Page 7: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,361 159,442 160,270 161,300 6,855 6,768 6,960 7,318 4.3 4.2 4.3 4.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 211,525 218,490 212,811 220,953 9,423 8,848 9,391 9,556 4.5 4.0 4.4 4.3

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,014,465 1,039,005 1,019,694 1,056,462 46,942 41,887 45,792 44,686 4.6 4.0 4.5 4.2

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,047 38,131 37,143 38,578 1,897 1,776 1,848 1,847 5.1 4.7 5.0 4.8

Lafayette-West Lafayette. . . . . . . . . . . . . . 107,340 111,386 105,376 110,189 4,574 4,249 4,918 4,913 4.3 3.8 4.7 4.5

Michigan City-La Porte. . . . . . . . . . . . . . . . 49,034 49,164 49,329 50,101 3,006 2,836 2,824 2,933 6.1 5.8 5.7 5.9

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,133 55,046 54,207 55,854 3,169 2,858 3,208 3,196 5.9 5.2 5.9 5.7

South Bend-Mishawaka. . . . . . . . . . . . . . . 156,776 159,604 156,080 161,113 7,990 6,854 7,832 7,555 5.1 4.3 5.0 4.7

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,665 79,042 76,638 79,240 4,749 4,355 4,652 4,608 6.1 5.5 6.1 5.8

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,699,388 1,703,694 1,713,556 1,730,080 58,649 58,477 63,468 70,049 3.5 3.4 3.7 4.0

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,515 57,478 54,715 55,325 1,325 1,209 1,757 1,792 2.3 2.1 3.2 3.2

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,648 143,559 145,501 145,882 5,066 5,282 5,358 5,875 3.5 3.7 3.7 4.0

Des Moines-West Des Moines. . . . . . . . . 339,540 340,861 343,113 348,323 11,325 11,047 12,022 13,165 3.3 3.2 3.5 3.8

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,940 55,555 55,366 56,699 1,804 1,843 2,001 2,194 3.2 3.3 3.6 3.9

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,445 95,551 95,447 96,491 2,401 2,386 2,836 3,089 2.5 2.5 3.0 3.2

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,409 92,722 93,615 95,159 3,008 2,827 3,455 3,544 3.3 3.0 3.7 3.7

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 91,336 89,998 90,571 89,841 3,780 3,803 4,029 4,593 4.1 4.2 4.4 5.1

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,491,922 1,490,344 1,511,866 1,508,460 64,431 54,015 67,507 66,236 4.3 3.6 4.5 4.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,193 64,916 63,159 63,193 2,505 2,068 2,674 2,681 3.8 3.2 4.2 4.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,144 50,727 47,766 47,621 1,775 1,454 1,840 1,859 3.6 2.9 3.9 3.9

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,018 119,579 122,881 121,559 5,248 4,304 5,393 5,170 4.3 3.6 4.4 4.3

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311,820 313,140 314,318 317,647 14,834 12,596 15,430 15,482 4.8 4.0 4.9 4.9

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,967,090 1,983,256 1,978,569 2,001,878 106,942 98,194 109,346 108,818 5.4 5.0 5.5 5.4

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 77,020 77,474 76,921 77,836 3,798 3,221 4,042 3,641 4.9 4.2 5.3 4.7

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 63,844 65,264 64,492 66,698 3,437 2,931 3,473 3,210 5.4 4.5 5.4 4.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 255,153 258,374 257,863 258,914 10,880 9,597 11,167 10,599 4.3 3.7 4.3 4.1

Louisville/Jefferson County. . . . . . . . . . . . . 626,724 637,557 630,325 647,601 30,383 27,053 30,198 29,572 4.8 4.2 4.8 4.6

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 52,835 54,124 53,332 54,535 2,520 2,442 2,631 2,648 4.8 4.5 4.9 4.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,179,116 2,154,453 2,196,583 2,187,256 140,130 131,719 152,481 153,259 6.4 6.1 6.9 7.0

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,583 67,220 68,546 68,337 4,523 4,199 4,961 4,932 6.7 6.2 7.2 7.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 424,046 426,750 426,558 434,778 23,536 22,037 26,026 26,221 5.6 5.2 6.1 6.0

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,518 54,008 55,008 54,732 4,027 3,691 4,445 4,417 7.4 6.8 8.1 8.1

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 101,103 97,516 101,688 98,365 5,902 6,466 6,214 7,268 5.8 6.6 6.1 7.4

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,195 223,969 232,223 226,810 15,125 16,177 16,218 18,103 6.5 7.2 7.0 8.0

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 101,773 103,529 103,201 105,434 5,639 5,034 5,970 5,922 5.5 4.9 5.8 5.6

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82,639 82,182 83,172 83,052 5,639 5,065 6,129 5,816 6.8 6.2 7.4 7.0

New Orleans-Metairie. . . . . . . . . . . . . . . . . 610,696 602,725 613,547 610,612 37,002 33,255 40,258 38,958 6.1 5.5 6.6 6.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 197,315 193,003 199,128 196,187 13,844 12,441 15,180 14,571 7.0 6.4 7.6 7.4

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678,525 677,133 691,223 694,200 30,191 24,036 29,231 25,440 4.4 3.5 4.2 3.7

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,422 68,820 69,831 69,783 2,929 2,458 2,886 2,649 4.2 3.6 4.1 3.8

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 54,932 54,971 55,232 55,533 2,282 1,826 2,207 1,958 4.2 3.3 4.0 3.5

Portland-South Portland. . . . . . . . . . . . . . . 197,278 196,916 201,331 202,587 7,079 5,472 6,943 6,119 3.6 2.8 3.4 3.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,155,474 3,145,227 3,179,911 3,194,209 164,343 129,769 171,863 145,010 5.2 4.1 5.4 4.5

Baltimore-Columbia-Towson. . . . . . . . . . . 1,475,289 1,471,894 1,482,179 1,493,026 80,060 62,761 83,709 70,013 5.4 4.3 5.6 4.7

California-Lexington Park. . . . . . . . . . . . . . 54,506 54,038 55,186 55,036 2,686 2,138 2,903 2,612 4.9 4.0 5.3 4.7

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,837 43,617 44,857 44,096 3,073 2,447 3,318 2,811 6.9 5.6 7.4 6.4

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 129,662 128,295 131,792 131,881 7,186 5,483 7,364 5,990 5.5 4.3 5.6 4.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,560,302 3,573,518 3,616,217 3,634,834 174,161 135,670 188,750 155,649 4.9 3.8 5.2 4.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 122,751 122,718 130,790 131,441 6,569 5,038 6,693 5,340 5.4 4.1 5.1 4.1

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,616,257 2,633,464 2,652,445 2,677,422 116,887 91,464 127,332 105,188 4.5 3.5 4.8 3.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 75,965 76,092 76,699 76,887 4,401 3,395 4,749 3,902 5.8 4.5 6.2 5.1

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 83,765 83,276 84,850 84,872 5,775 4,371 6,142 4,922 6.9 5.2 7.2 5.8

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,051 43,406 44,396 44,915 2,319 1,902 2,417 2,095 5.4 4.4 5.4 4.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 364,909 363,601 367,370 364,169 20,993 17,304 22,770 19,804 5.8 4.8 6.2 5.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 345,272 346,484 348,789 349,703 18,096 14,323 19,366 16,314 5.2 4.1 5.6 4.7

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,803,409 4,858,280 4,807,952 4,863,417 284,564 217,973 278,749 240,558 5.9 4.5 5.8 4.9

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 192,223 195,556 189,444 194,069 8,109 6,305 8,021 6,802 4.2 3.2 4.2 3.5

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 65,819 65,824 65,789 65,547 3,600 2,782 3,471 2,885 5.5 4.2 5.3 4.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,090 52,730 53,108 52,711 3,282 2,460 3,080 2,645 6.2 4.7 5.8 5.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,009,816 2,055,212 2,014,473 2,065,354 133,795 99,746 133,644 119,419 6.7 4.9 6.6 5.8

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,279 185,199 185,927 184,538 11,975 9,326 11,443 9,498 6.4 5.0 6.2 5.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 561,420 570,559 562,144 569,548 23,770 18,141 23,314 19,538 4.2 3.2 4.1 3.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,634 72,842 74,598 72,410 4,204 3,279 4,107 3,412 5.6 4.5 5.5 4.7

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,214 168,879 167,452 168,429 8,634 6,570 8,377 7,012 5.2 3.9 5.0 4.2

Lansing-East Lansing. . . . . . . . . . . . . . . . . 247,861 248,553 241,331 242,187 12,067 11,331 11,865 9,683 4.9 4.6 4.9 4.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,552 42,093 42,660 42,102 2,198 1,698 2,123 1,797 5.2 4.0 5.0 4.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,637 78,911 77,257 78,355 3,814 2,916 3,616 3,080 4.9 3.7 4.7 3.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 79,360 79,839 79,868 79,904 4,910 3,727 4,795 3,957 6.2 4.7 6.0 5.0

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 75,547 75,766 76,003 76,115 4,229 3,267 4,041 3,521 5.6 4.3 5.3 4.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,285 90,307 89,810 90,672 5,496 4,226 5,244 4,376 6.2 4.7 5.8 4.8

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,019,576 3,042,503 3,037,344 3,049,853 106,734 101,456 115,545 121,352 3.5 3.3 3.8 4.0

See footnotes at end of table.

Page 8: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,701 142,689 144,579 144,506 6,624 7,357 7,490 8,452 4.6 5.2 5.2 5.8

Mankato-North Mankato. . . . . . . . . . . . . . . 58,882 59,576 58,561 59,289 1,680 1,611 1,833 2,043 2.9 2.7 3.1 3.4

Minneapolis-St. Paul-Bloomington. . . . . . 1,951,015 1,968,877 1,953,718 1,971,286 65,744 61,104 70,923 73,775 3.4 3.1 3.6 3.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,128 119,476 119,916 120,504 3,693 3,270 3,944 3,978 3.1 2.7 3.3 3.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,936 111,688 110,388 111,986 3,870 3,735 4,183 4,316 3.5 3.3 3.8 3.9

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,278,144 1,284,983 1,286,448 1,292,802 86,965 77,875 90,993 87,773 6.8 6.1 7.1 6.8

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,673 164,272 166,368 166,927 11,167 10,363 11,458 11,194 6.8 6.3 6.9 6.7

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 66,197 67,793 66,554 67,330 4,047 3,746 4,251 4,210 6.1 5.5 6.4 6.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268,827 271,040 270,832 272,990 15,091 13,916 15,935 15,707 5.6 5.1 5.9 5.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,140,540 3,149,904 3,154,288 3,168,155 166,493 126,814 165,037 155,651 5.3 4.0 5.2 4.9

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 49,817 49,574 49,893 50,633 2,516 2,045 2,561 2,612 5.1 4.1 5.1 5.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,555 103,514 99,315 99,490 3,881 2,823 4,031 3,913 3.8 2.7 4.1 3.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 77,168 77,139 77,621 77,620 3,549 2,602 3,553 3,410 4.6 3.4 4.6 4.4

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,230 87,180 88,231 87,355 4,255 3,202 4,276 4,230 4.8 3.7 4.8 4.8

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,124,838 1,128,837 1,134,939 1,137,969 55,688 45,755 55,140 51,056 5.0 4.1 4.9 4.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,811 66,133 66,771 66,487 3,218 2,371 3,239 3,000 4.8 3.6 4.9 4.5

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,492,826 1,500,890 1,497,433 1,509,497 77,788 62,792 78,931 74,015 5.2 4.2 5.3 4.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 234,818 237,718 234,812 238,125 11,073 8,128 11,000 10,417 4.7 3.4 4.7 4.4

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523,271 521,447 530,430 530,831 18,810 18,814 21,780 22,348 3.6 3.6 4.1 4.2

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,993 88,192 88,511 89,292 2,478 2,687 3,055 3,436 2.8 3.0 3.5 3.8

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,943 38,203 39,718 39,283 1,321 1,297 1,560 1,623 3.4 3.4 3.9 4.1

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,367 61,578 61,183 61,715 2,046 1,938 2,382 2,344 3.3 3.1 3.9 3.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,015,079 1,021,211 1,024,122 1,029,890 29,549 28,553 33,173 34,073 2.9 2.8 3.2 3.3

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,620 44,205 44,351 44,964 1,381 1,341 1,571 1,523 3.2 3.0 3.5 3.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,940 177,925 175,544 177,099 4,596 4,518 5,178 5,461 2.6 2.5 2.9 3.1

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 477,879 479,874 480,128 482,866 15,085 14,269 16,649 16,828 3.2 3.0 3.5 3.5

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,425,995 1,436,897 1,430,171 1,442,348 94,018 89,499 99,515 97,478 6.6 6.2 7.0 6.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,110 24,925 25,500 25,209 1,754 1,642 1,841 1,749 7.0 6.6 7.2 6.9

Las Vegas-Henderson-Paradise. . . . . . . . 1,047,448 1,055,459 1,049,522 1,059,667 69,496 67,173 74,049 73,399 6.6 6.4 7.1 6.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229,858 232,944 230,464 233,851 14,233 12,779 14,794 13,816 6.2 5.5 6.4 5.9

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 737,911 744,416 748,678 760,114 24,688 19,338 25,495 20,788 3.3 2.6 3.4 2.7

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 82,510 83,614 81,997 83,298 2,601 1,967 2,589 2,109 3.2 2.4 3.2 2.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 113,953 115,690 115,080 118,261 3,736 2,953 3,858 3,215 3.3 2.6 3.4 2.7

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 73,373 75,098 75,133 77,054 2,134 1,700 2,216 1,887 2.9 2.3 2.9 2.4

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,552,979 4,563,067 4,579,658 4,598,889 262,655 225,711 256,468 227,177 5.8 4.9 5.6 4.9

Atlantic City-Hammonton. . . . . . . . . . . . . . 129,046 123,954 130,140 125,909 12,337 8,967 11,700 8,904 9.6 7.2 9.0 7.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,800 50,644 55,683 56,681 4,874 4,207 4,366 3,842 9.8 8.3 7.8 6.8

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,130 201,237 199,904 201,970 9,964 8,693 9,854 8,976 5.0 4.3 4.9 4.4

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 67,984 67,139 67,789 66,359 5,812 4,876 5,582 4,896 8.5 7.3 8.2 7.4

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 916,941 916,145 926,033 932,806 58,686 55,044 68,121 65,549 6.4 6.0 7.4 7.0

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 411,440 414,783 415,394 422,578 24,576 22,325 28,983 27,137 6.0 5.4 7.0 6.4

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 55,159 55,897 55,730 56,496 3,712 4,524 4,419 5,164 6.7 8.1 7.9 9.1

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 94,032 93,473 93,382 93,776 6,901 6,281 7,749 7,197 7.3 6.7 8.3 7.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,720 71,537 72,258 73,083 3,634 3,289 4,273 4,010 5.1 4.6 5.9 5.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,709,479 9,640,340 9,755,284 9,684,638 517,567 406,406 507,585 439,174 5.3 4.2 5.2 4.5

Albany-Schenectady-Troy. . . . . . . . . . . . . . 451,830 447,643 455,949 449,834 20,300 16,713 20,862 17,466 4.5 3.7 4.6 3.9

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 111,779 109,784 112,181 109,110 6,539 5,203 6,635 5,400 5.8 4.7 5.9 4.9

Buffalo-Cheektowaga-Niagara Falls. . . . . 552,678 553,088 557,566 554,821 30,352 24,327 30,201 24,723 5.5 4.4 5.4 4.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,273 37,396 38,757 37,733 2,306 1,945 2,299 1,928 6.0 5.2 5.9 5.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 61,470 60,942 64,138 63,277 3,060 2,586 2,991 2,474 5.0 4.2 4.7 3.9

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,620 56,002 54,612 54,430 2,334 1,933 2,504 2,174 4.1 3.5 4.6 4.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,238 89,748 90,259 90,494 4,348 3,522 4,380 3,662 4.9 3.9 4.9 4.0

New York-Newark-Jersey City. . . . . . . . . . 10,091,848 10,052,248 10,126,286 10,104,914 543,913 440,543 530,261 471,276 5.4 4.4 5.2 4.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 529,576 524,363 534,078 528,883 27,808 22,229 27,764 22,825 5.3 4.2 5.2 4.3

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 313,771 310,825 314,956 310,676 17,226 13,452 17,197 13,944 5.5 4.3 5.5 4.5

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 132,086 131,257 133,762 131,881 7,304 5,788 7,164 5,765 5.5 4.4 5.4 4.4

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 47,072 47,295 48,365 48,237 2,974 2,444 2,837 2,358 6.3 5.2 5.9 4.9

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,827,901 4,856,348 4,806,585 4,860,758 289,984 229,454 294,529 250,385 6.0 4.7 6.1 5.2

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222,312 223,944 220,873 223,023 10,736 8,381 10,977 9,246 4.8 3.7 5.0 4.1

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,846 78,456 77,063 77,807 4,355 3,487 4,507 3,896 5.6 4.4 5.8 5.0

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,249,076 1,266,003 1,244,768 1,272,393 71,266 57,355 72,483 63,228 5.7 4.5 5.8 5.0

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 284,695 288,050 280,851 285,378 15,004 12,069 15,316 13,330 5.3 4.2 5.5 4.7

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,106 147,695 147,557 148,739 11,518 8,800 11,615 9,587 7.8 6.0 7.9 6.4

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,427 54,899 54,646 54,665 3,473 2,835 3,517 3,061 6.4 5.2 6.4 5.6

Greensboro-High Point. . . . . . . . . . . . . . . . 369,629 369,627 365,879 369,504 22,919 17,978 23,295 19,713 6.2 4.9 6.4 5.3

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,854 87,703 87,740 87,396 5,900 4,760 6,001 5,199 6.6 5.4 6.8 5.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 169,372 167,743 168,273 167,642 10,227 7,764 10,304 8,399 6.0 4.6 6.1 5.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 65,165 64,806 64,391 65,293 4,027 3,285 4,115 3,599 6.2 5.1 6.4 5.5

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,718 52,122 52,101 52,311 3,297 2,526 3,329 2,758 6.4 4.8 6.4 5.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660,100 674,091 659,546 677,073 33,295 27,366 33,872 29,913 5.0 4.1 5.1 4.4

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 67,432 65,958 66,660 65,320 5,854 4,557 5,883 4,873 8.7 6.9 8.8 7.5

See footnotes at end of table.

Page 9: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 142,034 141,267 140,499 141,944 7,862 6,264 7,994 6,899 5.5 4.4 5.7 4.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 322,414 321,100 319,890 322,167 18,514 14,537 18,932 15,961 5.7 4.5 5.9 5.0

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 416,074 419,812 422,951 428,366 10,432 12,023 12,786 14,575 2.5 2.9 3.0 3.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,511 70,303 68,739 71,653 1,542 1,741 1,842 2,069 2.3 2.5 2.7 2.9

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,085 136,239 131,333 137,470 2,951 3,037 3,386 3,663 2.3 2.2 2.6 2.7

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 54,786 56,113 55,103 56,401 1,667 1,514 1,868 1,947 3.0 2.7 3.4 3.5

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,736,717 5,816,168 5,750,073 5,834,735 277,383 267,671 287,871 287,163 4.8 4.6 5.0 4.9

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361,285 367,957 360,990 366,808 17,078 16,788 17,704 17,980 4.7 4.6 4.9 4.9

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 201,666 204,083 202,098 205,209 10,370 10,591 10,463 10,827 5.1 5.2 5.2 5.3

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,081,204 1,094,605 1,085,089 1,101,866 48,422 44,492 50,721 49,019 4.5 4.1 4.7 4.4

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,032,645 1,037,523 1,038,228 1,044,887 54,239 52,849 56,465 56,954 5.3 5.1 5.4 5.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,041,961 1,061,372 1,043,330 1,066,941 42,858 40,738 44,800 44,511 4.1 3.8 4.3 4.2

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382,221 386,681 384,067 390,608 18,204 16,907 18,847 18,476 4.8 4.4 4.9 4.7

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,228 49,850 48,542 50,660 2,300 2,207 2,381 2,408 4.8 4.4 4.9 4.8

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,696 53,470 53,988 53,738 2,904 2,679 2,912 2,851 5.4 5.0 5.4 5.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,497 65,372 64,998 65,455 3,116 3,026 3,265 3,300 4.8 4.6 5.0 5.0

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,858 311,381 301,009 311,801 15,045 13,570 15,434 14,556 4.9 4.4 5.1 4.7

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 53,207 53,302 53,815 54,015 3,963 4,033 4,070 4,068 7.4 7.6 7.6 7.5

Youngstown-Warren-Boardman. . . . . . . . 253,973 253,872 252,959 254,078 14,902 15,247 15,197 15,640 5.9 6.0 6.0 6.2

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,846,721 1,841,642 1,862,255 1,851,364 82,705 88,309 88,596 98,473 4.5 4.8 4.8 5.3

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,305 52,851 54,050 53,663 2,350 2,455 2,514 2,740 4.4 4.6 4.7 5.1

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 666,643 669,770 675,201 676,438 26,241 27,836 28,571 31,481 3.9 4.2 4.2 4.7

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476,240 475,488 482,711 479,579 21,070 23,254 22,450 25,824 4.4 4.9 4.7 5.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,955,649 2,029,436 1,977,215 2,064,052 108,954 87,352 114,773 109,794 5.6 4.3 5.8 5.3

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,454 55,837 54,733 56,525 3,635 2,926 3,771 3,539 6.7 5.2 6.9 6.3

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 83,449 88,363 84,851 90,195 4,752 3,724 4,925 4,521 5.7 4.2 5.8 5.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,416 46,680 45,950 47,446 1,834 1,575 2,144 2,281 4.0 3.4 4.7 4.8

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171,237 176,478 171,604 178,373 9,838 7,934 10,526 10,256 5.7 4.5 6.1 5.7

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 33,177 34,079 33,482 34,648 2,473 1,966 2,599 2,377 7.5 5.8 7.8 6.9

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,018 99,902 97,415 101,639 6,642 5,320 6,918 6,430 6.8 5.3 7.1 6.3

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,214,772 1,261,953 1,216,136 1,272,810 64,200 53,411 66,177 65,409 5.3 4.2 5.4 5.1

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,734 194,454 189,522 197,882 11,042 8,794 11,616 11,194 5.9 4.5 6.1 5.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,462,242 6,536,446 6,485,914 6,575,976 354,304 357,222 357,063 364,878 5.5 5.5 5.5 5.5

Allentown-Bethlehem-Easton. . . . . . . . . . . 433,798 433,591 434,873 437,127 24,098 22,931 23,836 23,309 5.6 5.3 5.5 5.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,669 62,854 62,324 63,389 3,191 3,188 3,451 3,412 5.2 5.1 5.5 5.4

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,378 43,942 42,756 43,422 2,397 2,391 2,464 2,413 5.5 5.4 5.8 5.6

Chambersburg-Waynesboro. . . . . . . . . . . 78,080 79,981 78,752 80,335 3,849 4,030 3,923 4,153 4.9 5.0 5.0 5.2

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 80,908 81,761 81,667 83,326 5,509 5,287 5,311 5,274 6.8 6.5 6.5 6.3

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,555 135,590 136,092 136,528 7,582 8,989 7,755 9,180 5.6 6.6 5.7 6.7

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,491 56,371 55,420 56,228 2,397 2,186 2,558 2,363 4.3 3.9 4.6 4.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 295,065 299,713 297,298 303,553 13,330 13,789 13,941 14,266 4.5 4.6 4.7 4.7

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,079 62,354 62,987 62,542 4,190 4,188 4,496 4,564 6.6 6.7 7.1 7.3

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 277,401 279,576 279,537 281,522 11,827 11,498 12,478 12,510 4.3 4.1 4.5 4.4

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,737 71,410 71,182 71,934 3,319 3,197 3,456 3,331 4.7 4.5 4.9 4.6

Philadelphia-Camden-Wilmington. . . . . . . 3,066,201 3,120,246 3,077,266 3,137,451 172,000 159,314 171,377 163,533 5.6 5.1 5.6 5.2

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,221,209 1,226,699 1,226,883 1,239,642 65,481 70,159 67,160 72,196 5.4 5.7 5.5 5.8

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,435 216,961 215,038 217,974 11,110 11,036 11,190 11,150 5.2 5.1 5.2 5.1

Scranton--Wilkes-Barre--Hazleton. . . . . . . 280,870 281,768 280,308 283,549 18,049 17,394 17,844 17,808 6.4 6.2 6.4 6.3

State College. . . . . . . . . . . . . . . . . . . . . . . . 75,413 80,719 75,807 77,138 3,242 3,387 3,404 3,594 4.3 4.2 4.5 4.7

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 61,795 60,273 61,500 60,507 3,834 4,216 3,725 4,036 6.2 7.0 6.1 6.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 233,989 238,474 235,330 239,954 11,625 11,079 12,070 11,671 5.0 4.6 5.1 4.9

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 552,912 548,300 559,099 557,539 33,082 28,900 32,117 28,533 6.0 5.3 5.7 5.1

Providence-Warwick. . . . . . . . . . . . . . . . . . 678,924 674,031 685,768 684,597 40,030 34,137 39,624 34,649 5.9 5.1 5.8 5.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,274,821 2,302,872 2,289,415 2,336,009 137,424 111,460 144,488 131,046 6.0 4.8 6.3 5.6

Charleston-North Charleston. . . . . . . . . . . 365,348 369,858 366,136 375,912 19,258 15,572 20,079 18,310 5.3 4.2 5.5 4.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 397,014 403,583 398,327 407,830 22,036 18,391 23,399 21,811 5.6 4.6 5.9 5.3

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,549 96,477 96,379 97,146 6,613 5,310 7,037 6,154 6.8 5.5 7.3 6.3

Greenville-Anderson-Mauldin. . . . . . . . . . . 417,769 422,947 419,597 426,956 22,786 18,354 24,110 22,066 5.5 4.3 5.7 5.2

Hilton Head Island-Bluffton-Beaufort. . . . 84,202 86,228 85,345 88,873 4,665 3,729 4,840 4,570 5.5 4.3 5.7 5.1

Myrtle Beach-Conway-North MyrtleBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,901 192,230 195,343 198,713 12,910 10,165 13,119 11,201 6.8 5.3 6.7 5.6

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 151,312 153,081 152,142 154,744 9,166 7,272 9,905 8,870 6.1 4.8 6.5 5.7

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,676 44,928 44,778 45,227 3,103 2,589 3,279 3,036 6.9 5.8 7.3 6.7

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 453,787 455,085 460,694 464,092 14,280 11,640 14,202 12,884 3.1 2.6 3.1 2.8

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,730 71,243 73,851 73,936 2,433 1,988 2,298 2,092 3.4 2.8 3.1 2.8

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 142,687 146,180 143,645 148,136 3,831 3,127 3,674 3,338 2.7 2.1 2.6 2.3

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,079,575 3,132,572 3,099,802 3,175,268 179,684 118,817 193,193 159,263 5.8 3.8 6.2 5.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 254,058 257,943 257,316 262,680 14,548 10,229 15,575 13,461 5.7 4.0 6.1 5.1

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,627 111,903 109,431 112,339 6,742 5,036 7,118 6,392 6.1 4.5 6.5 5.7

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,137 57,994 56,474 58,776 3,185 2,154 3,589 2,972 5.7 3.7 6.4 5.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,989 62,457 62,770 63,559 3,863 2,500 4,125 3,424 6.2 4.0 6.6 5.4

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 88,723 89,921 88,086 89,815 5,551 3,774 5,946 5,036 6.3 4.2 6.8 5.6

See footnotes at end of table.

Page 10: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Tennessee - Continued

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 138,197 138,379 138,046 139,052 7,977 5,783 8,527 7,504 5.8 4.2 6.2 5.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406,826 416,775 409,550 422,281 22,211 14,686 24,262 20,025 5.5 3.5 5.9 4.7

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 614,585 620,522 621,896 630,469 40,702 28,220 43,113 36,144 6.6 4.5 6.9 5.7

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,243 51,200 49,969 51,653 3,246 2,098 3,440 2,813 6.5 4.1 6.9 5.4

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 938,946 964,149 948,387 981,891 44,512 29,252 47,969 39,274 4.7 3.0 5.1 4.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,104,878 13,281,123 13,127,106 13,338,824 565,656 558,838 623,024 644,663 4.3 4.2 4.7 4.8

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,799 75,478 75,482 75,651 2,947 2,748 3,194 3,150 3.9 3.6 4.2 4.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,700 132,333 130,409 131,910 4,010 3,692 4,450 4,327 3.1 2.8 3.4 3.3

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,069,356 1,098,926 1,073,067 1,109,571 35,011 31,728 38,408 37,166 3.3 2.9 3.6 3.3

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 177,400 176,364 177,165 177,323 11,288 10,684 12,090 12,180 6.4 6.1 6.8 6.9

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 165,390 168,131 166,031 170,042 11,378 11,025 12,445 12,847 6.9 6.6 7.5 7.6

College Station-Bryan. . . . . . . . . . . . . . . . . 122,703 126,477 118,920 123,095 4,248 4,131 4,967 5,008 3.5 3.3 4.2 4.1

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 207,971 211,727 208,142 212,763 10,417 11,235 11,257 12,730 5.0 5.3 5.4 6.0

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,578,828 3,676,364 3,594,227 3,694,005 141,375 128,144 154,756 147,772 4.0 3.5 4.3 4.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345,872 351,473 345,230 349,756 17,658 15,906 19,204 18,279 5.1 4.5 5.6 5.2

Houston-The Woodlands-Sugar Land. . . 3,254,887 3,264,176 3,257,658 3,285,288 142,382 157,280 157,493 179,949 4.4 4.8 4.8 5.5

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 169,709 172,753 169,278 172,921 7,707 7,080 8,372 8,270 4.5 4.1 4.9 4.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,457 114,238 112,849 115,114 5,246 5,202 5,965 6,110 4.7 4.6 5.3 5.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,858 100,983 100,546 102,020 4,972 5,522 5,505 6,672 4.9 5.5 5.5 6.5

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154,305 157,587 153,762 157,391 5,170 4,834 6,188 6,174 3.4 3.1 4.0 3.9

McAllen-Edinburg-Mission. . . . . . . . . . . . . 335,617 339,379 334,752 339,784 25,495 23,711 28,077 27,861 7.6 7.0 8.4 8.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,531 90,193 91,312 90,400 3,173 3,839 3,494 4,156 3.5 4.3 3.8 4.6

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,896 78,496 79,701 78,977 3,621 4,800 3,987 5,305 4.5 6.1 5.0 6.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,877 56,557 55,702 56,678 2,337 2,365 2,517 2,609 4.2 4.2 4.5 4.6

San Antonio-New Braunfels. . . . . . . . . . . . 1,102,652 1,124,558 1,105,042 1,126,791 41,132 38,257 45,424 44,776 3.7 3.4 4.1 4.0

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 60,762 61,517 61,003 61,710 2,332 2,131 2,570 2,428 3.8 3.5 4.2 3.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,811 65,117 65,300 65,692 3,207 2,596 3,391 2,969 4.9 4.0 5.2 4.5

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,746 104,189 103,404 105,097 4,523 4,289 4,858 5,002 4.4 4.1 4.7 4.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,768 50,362 49,638 50,824 2,015 2,425 2,260 2,767 4.0 4.8 4.6 5.4

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,706 120,720 119,337 121,834 4,788 4,445 5,429 5,354 4.0 3.7 4.5 4.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,136 64,877 65,356 65,169 2,749 2,640 3,036 3,005 4.2 4.1 4.6 4.6

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,462,672 1,493,923 1,474,129 1,508,053 52,008 57,036 57,623 63,109 3.6 3.8 3.9 4.2

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,627 68,955 67,560 69,668 1,935 2,290 2,255 2,583 2.9 3.3 3.3 3.7

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 308,323 316,302 310,823 318,199 10,962 11,686 12,232 13,149 3.6 3.7 3.9 4.1

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 268,731 277,463 271,847 281,294 8,788 9,734 10,004 10,967 3.3 3.5 3.7 3.9

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,116 67,316 64,107 67,342 2,449 2,650 2,791 2,995 3.8 3.9 4.4 4.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 614,010 625,889 618,701 630,149 20,833 22,226 22,919 24,808 3.4 3.6 3.7 3.9

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342,838 343,401 349,178 350,985 11,645 9,568 13,005 11,933 3.4 2.8 3.7 3.4

Burlington-South Burlington. . . . . . . . . . . . 123,905 124,543 125,863 127,499 3,295 2,610 3,862 3,698 2.7 2.1 3.1 2.9

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,282,734 4,216,397 4,268,927 4,250,100 199,168 152,222 198,131 168,488 4.7 3.6 4.6 4.0

Blacksburg-Christiansburg-Radford. . . . . 93,145 89,610 89,631 88,037 4,595 3,612 4,693 4,172 4.9 4.0 5.2 4.7

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 117,680 117,335 116,152 116,843 4,940 3,621 5,011 4,182 4.2 3.1 4.3 3.6

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,128 62,082 64,891 62,342 3,280 2,369 3,362 2,756 5.0 3.8 5.2 4.4

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 124,293 120,781 123,856 121,240 6,459 4,874 6,641 5,662 5.2 4.0 5.4 4.7

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 664,041 666,945 662,348 671,165 32,342 24,402 32,002 27,117 4.9 3.7 4.8 4.0

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,474 157,133 159,233 157,248 7,408 5,546 7,460 6,120 4.6 3.5 4.7 3.9

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,672 57,302 59,532 57,436 2,651 1,955 2,635 2,124 4.4 3.4 4.4 3.7

Virginia Beach-Norfolk-Newport News. . . 847,125 829,024 847,662 837,511 43,157 34,443 42,858 37,955 5.1 4.2 5.1 4.5

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,400 69,622 69,866 70,192 3,126 2,259 3,086 2,521 4.5 3.2 4.4 3.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,545,995 3,606,402 3,556,723 3,630,577 197,117 197,395 192,513 201,595 5.6 5.5 5.4 5.6

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 103,237 104,894 103,049 105,172 6,216 6,058 5,879 6,575 6.0 5.8 5.7 6.3

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 114,832 117,163 113,585 117,165 6,667 6,652 6,095 7,051 5.8 5.7 5.4 6.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . 131,521 133,921 137,649 141,270 9,005 8,499 8,015 8,839 6.8 6.3 5.8 6.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,311 45,043 43,489 44,692 3,511 3,222 3,235 3,382 7.9 7.2 7.4 7.6

Mount Vernon-Anacortes. . . . . . . . . . . . . . 56,771 57,759 56,473 58,460 3,860 3,698 3,581 3,924 6.8 6.4 6.3 6.7

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 125,408 128,953 123,511 127,919 7,693 7,321 7,099 7,740 6.1 5.7 5.7 6.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 1,973,203 2,010,061 1,973,526 2,008,957 91,294 97,046 96,793 96,745 4.6 4.8 4.9 4.8

Spokane-Spokane Valley. . . . . . . . . . . . . . 250,185 254,207 246,161 253,510 16,648 15,533 15,434 16,554 6.7 6.1 6.3 6.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,349 30,337 30,108 30,543 1,786 1,575 1,648 1,692 5.9 5.2 5.5 5.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 60,545 62,444 67,901 68,559 3,706 4,035 2,978 3,640 6.1 6.5 4.4 5.3

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,270 121,531 127,892 131,583 9,744 9,300 8,157 8,974 8.2 7.7 6.4 6.8

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 790,471 783,383 800,151 799,055 54,793 45,371 57,510 48,494 6.9 5.8 7.2 6.1

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,348 46,535 48,330 47,710 3,692 3,228 3,885 3,403 7.8 6.9 8.0 7.1

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 99,918 97,342 101,237 100,346 6,706 5,422 6,787 5,745 6.7 5.6 6.7 5.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 149,242 149,164 148,806 149,787 9,461 8,688 9,910 9,385 6.3 5.8 6.7 6.3

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 66,672 66,981 64,632 65,703 3,531 2,935 3,900 3,333 5.3 4.4 6.0 5.1

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 40,174 39,689 40,561 40,020 2,609 2,170 2,747 2,380 6.5 5.5 6.8 5.9

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,153 66,959 67,248 67,264 4,425 4,539 4,749 4,507 6.6 6.8 7.1 6.7

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,088,630 3,109,207 3,132,217 3,167,612 142,000 119,065 151,310 140,323 4.6 3.8 4.8 4.4

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,738 130,068 130,883 132,888 5,156 4,355 5,347 5,250 4.0 3.3 4.1 4.0

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,105 91,963 91,526 91,698 3,723 3,134 4,013 3,802 4.0 3.4 4.4 4.1

See footnotes at end of table.

Page 11: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

Wisconsin - Continued

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 56,967 57,609 57,999 58,807 2,378 1,922 2,564 2,363 4.2 3.3 4.4 4.0

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 169,893 170,392 173,286 173,987 7,301 6,140 7,684 7,123 4.3 3.6 4.4 4.1

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 82,877 86,187 83,872 87,613 4,364 3,544 4,680 4,172 5.3 4.1 5.6 4.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,411 78,140 76,430 77,778 2,994 2,681 3,196 3,210 3.9 3.4 4.2 4.1

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373,425 380,392 377,031 383,232 13,210 11,140 13,785 12,975 3.5 2.9 3.7 3.4

Milwaukee-Waukesha-West Allis. . . . . . . 820,879 822,484 827,260 837,583 41,454 34,668 44,730 41,161 5.0 4.2 5.4 4.9

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 91,115 91,754 91,596 92,509 4,054 3,298 4,302 3,896 4.4 3.6 4.7 4.2

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,166 98,672 100,538 100,727 5,531 4,638 5,947 5,528 5.6 4.7 5.9 5.5

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 61,131 61,716 62,698 63,204 2,438 2,065 2,563 2,421 4.0 3.3 4.1 3.8

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,312 73,892 75,205 75,745 3,029 2,546 3,172 2,961 4.1 3.4 4.2 3.9

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305,957 298,806 311,850 304,843 12,417 16,277 13,154 17,023 4.1 5.4 4.2 5.6

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,753 40,481 42,775 40,776 2,048 3,022 2,184 3,181 4.8 7.5 5.1 7.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,666 47,402 48,629 47,539 1,738 1,890 1,923 2,135 3.6 4.0 4.0 4.5

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,117,784 1,138,642 1,119,298 1,125,797 138,011 128,233 140,688 121,107 12.3 11.3 12.6 10.8

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 87,436 90,352 87,392 89,913 13,913 13,060 14,198 12,561 15.9 14.5 16.2 14.0

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,896 53,167 51,125 52,143 7,832 7,192 7,770 6,523 15.1 13.5 15.2 12.5

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,297 22,659 22,305 22,202 4,389 3,944 4,350 3,690 19.7 17.4 19.5 16.6

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,929 29,579 29,247 29,298 3,867 3,739 3,940 3,465 13.4 12.6 13.5 11.8

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,531 99,486 98,265 97,341 16,188 15,148 16,220 13,689 16.4 15.2 16.5 14.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,064 36,629 36,248 36,507 5,227 5,216 5,385 5,183 14.5 14.2 14.9 14.2

San Juan-Carolina-Caguas. . . . . . . . . . . . 747,680 760,306 750,160 751,901 77,803 72,490 80,049 68,989 10.4 9.5 10.7 9.2

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. 13-01, dated February 28, 2013, and are available on the BLS website at 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 … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

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

2015 2016 2015 2016pMay June May June

2015 2016 2015 2016p 2015 2016 2015 2016p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,036,611 18,984,655 18,999,793 19,181,189 1,164,888 898,746 1,179,350 1,087,685 6.1 4.7 6.2 5.7

Los Angeles-Long Beach-Anaheim. . . 6,622,481 6,592,869 6,591,688 6,653,446 412,989 271,903 415,741 331,429 6.2 4.1 6.3 5.0

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,594,399 1,599,537 1,595,318 1,611,627 69,098 57,031 71,510 71,165 4.3 3.6 4.5 4.4

Los Angeles-LongBeach-Glendale. . . . . . . . . . . . . . . . 5,028,082 4,993,332 4,996,370 5,041,819 343,891 214,872 344,231 260,264 6.8 4.3 6.9 5.2

San Francisco-Oakland-Hayward. . . . . 2,504,339 2,505,230 2,504,935 2,525,364 103,829 84,601 107,089 105,379 4.1 3.4 4.3 4.2

Oakland-Hayward-Berkeley. . . . . . . . 1,376,344 1,372,346 1,377,015 1,383,901 65,054 53,019 66,978 66,001 4.7 3.9 4.9 4.8

San Francisco-Redwood City-SouthSan Francisco. . . . . . . . . . . . . . . . . 986,604 991,124 986,593 998,429 33,980 27,643 35,138 34,327 3.4 2.8 3.6 3.4

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,391 141,760 141,327 143,034 4,795 3,939 4,973 5,051 3.4 2.8 3.5 3.5

District of Columbia. . . . . . . . . . . . . . . . . . . 384,242 392,578 390,496 399,446 25,361 20,369 27,536 24,461 6.6 5.2 7.1 6.1

Washington-Arlington-Alexandria2. . . . 3,296,795 3,281,673 3,307,168 3,323,015 149,907 116,363 154,469 130,752 4.5 3.5 4.7 3.9

Silver Spring-Frederick-Rockville3.. . 677,664 671,463 684,485 682,801 28,640 22,357 30,111 25,503 4.2 3.3 4.4 3.7

Washington-Arlington-Alexandria2.. . 2,619,131 2,610,210 2,622,683 2,640,214 121,267 94,006 124,358 105,249 4.6 3.6 4.7 4.0

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,756,834 9,749,076 9,691,201 9,766,839 538,880 426,600 541,500 478,016 5.5 4.4 5.6 4.9

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,040,504 3,015,358 3,012,143 3,010,571 172,099 140,510 172,533 150,543 5.7 4.7 5.7 5.0

Fort Lauderdale-PompanoBeach-Deerfield Beach. . . . . . . . . 998,658 1,007,282 995,760 1,015,219 51,857 41,064 51,791 46,090 5.2 4.1 5.2 4.5

Miami-Miami Beach-Kendall. . . . . . . 1,343,860 1,312,243 1,324,438 1,301,093 84,825 70,161 84,654 70,413 6.3 5.3 6.4 5.4

West Palm Beach-BocaRaton-Delray Beach. . . . . . . . . . . . 697,986 695,833 691,945 694,259 35,417 29,285 36,088 34,040 5.1 4.2 5.2 4.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,520,791 6,594,464 6,589,926 6,664,394 373,226 368,542 394,985 398,121 5.7 5.6 6.0 6.0

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,896,443 4,970,947 4,957,812 5,053,549 284,763 269,270 297,253 303,665 5.8 5.4 6.0 6.0

Chicago-Naperville-ArlingtonHeights. . . . . . . . . . . . . . . . . . . . . . . 3,779,951 3,837,645 3,828,766 3,909,355 223,585 209,184 235,028 242,273 5.9 5.5 6.1 6.2

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 321,746 324,472 325,654 325,292 16,715 17,312 17,803 17,005 5.2 5.3 5.5 5.2

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 340,368 346,662 340,099 351,800 22,234 20,092 20,950 21,302 6.5 5.8 6.2 6.1

Lake County-Kenosha County2. . . . 454,378 462,168 463,293 467,102 22,229 22,682 23,472 23,085 4.9 4.9 5.1 4.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,560,302 3,573,518 3,616,217 3,634,834 174,161 135,670 188,750 155,649 4.9 3.8 5.2 4.3

Boston-Cambridge-Nashua2. . . . . . . . . 2,616,257 2,633,464 2,652,445 2,677,422 116,887 91,464 127,332 105,188 4.5 3.5 4.8 3.9

Boston-Cambridge-Newton. . . . . . . . 1,547,614 1,557,621 1,568,496 1,583,864 66,267 51,663 72,847 60,347 4.3 3.3 4.6 3.8

Brockton-Bridgewater-Easton. . . . . . 104,446 105,468 105,830 106,365 5,733 4,567 6,329 5,277 5.5 4.3 6.0 5.0

Framingham. . . . . . . . . . . . . . . . . . . . . 154,292 154,772 156,766 157,623 6,128 4,781 6,704 5,547 4.0 3.1 4.3 3.5

Haverhill-Newburyport-AmesburyTown2. . . . . . . . . . . . . . . . . . . . . . . . 112,477 114,178 114,569 116,802 4,873 3,823 5,185 4,249 4.3 3.3 4.5 3.6

Lawrence-Methuen Town-Salem2. . . 94,707 94,846 96,140 96,125 6,151 4,740 6,475 5,190 6.5 5.0 6.7 5.4

Lowell-Billerica-Chelmsford2. . . . . . . 182,026 183,285 184,601 185,624 9,075 7,168 9,772 8,115 5.0 3.9 5.3 4.4

Lynn-Saugus-Marblehead. . . . . . . . . 82,688 82,653 84,184 84,242 4,086 3,218 4,471 3,668 4.9 3.9 5.3 4.4

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 166,863 168,389 168,637 172,082 6,161 4,911 6,470 5,262 3.7 2.9 3.8 3.1

Peabody-Salem-Beverly. . . . . . . . . . . 89,534 89,894 90,526 91,268 4,100 3,238 4,450 3,726 4.6 3.6 4.9 4.1

Taunton-Middleborough-Norton. . . . 81,610 82,358 82,696 83,427 4,313 3,355 4,629 3,807 5.3 4.1 5.6 4.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,803,409 4,858,280 4,807,952 4,863,417 284,564 217,973 278,749 240,558 5.9 4.5 5.8 4.9

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,009,816 2,055,212 2,014,473 2,065,354 133,795 99,746 133,644 119,419 6.7 4.9 6.6 5.8

Detroit-Dearborn-Livonia. . . . . . . . . . 753,353 767,644 754,553 771,431 58,452 43,787 58,773 52,659 7.8 5.7 7.8 6.8

Warren-Troy-Farmington Hills. . . . . . 1,256,463 1,287,568 1,259,921 1,293,923 75,343 55,959 74,871 66,760 6.0 4.3 5.9 5.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,709,479 9,640,340 9,755,284 9,684,638 517,567 406,406 507,585 439,174 5.3 4.2 5.2 4.5

New York-Newark-Jersey City2. . . . . . 10,091,848 10,052,248 10,126,286 10,104,914 543,913 440,543 530,261 471,276 5.4 4.4 5.2 4.7

Dutchess County-Putnam County.. . 194,856 196,861 196,986 198,175 8,955 7,347 9,123 7,737 4.6 3.7 4.6 3.9

Nassau County-Suffolk County. . . . . 1,479,397 1,484,994 1,501,199 1,501,500 67,493 54,874 68,046 56,743 4.6 3.7 4.5 3.8

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,264,949 1,267,548 1,268,429 1,272,108 71,214 62,229 69,947 62,559 5.6 4.9 5.5 4.9

New York-Jersey City-WhitePlains2. . . . . . . . . . . . . . . . . . . . . . . . 7,152,646 7,102,845 7,159,672 7,133,131 396,251 316,093 383,145 344,237 5.5 4.5 5.4 4.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,462,242 6,536,446 6,485,914 6,575,976 354,304 357,222 357,063 364,878 5.5 5.5 5.5 5.5

Philadelphia-Camden-Wilmington2. . . . 3,066,201 3,120,246 3,077,266 3,137,451 172,000 159,314 171,377 163,533 5.6 5.1 5.6 5.2

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 638,800 642,536 640,517 647,138 38,146 32,018 37,282 32,785 6.0 5.0 5.8 5.1

Montgomery County-BucksCounty-Chester County. . . . . . . . . 1,060,919 1,081,997 1,069,501 1,095,565 46,971 46,113 46,860 47,240 4.4 4.3 4.4 4.3

Philadelphia. . . . . . . . . . . . . . . . . . . . . 992,208 1,010,391 990,832 1,008,589 68,444 65,168 66,537 64,325 6.9 6.4 6.7 6.4

Wilmington3. . . . . . . . . . . . . . . . . . . . . 374,274 385,322 376,416 386,159 18,439 16,015 20,698 19,183 4.9 4.2 5.5 5.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,104,878 13,281,123 13,127,106 13,338,824 565,656 558,838 623,024 644,663 4.3 4.2 4.7 4.8

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,578,828 3,676,364 3,594,227 3,694,005 141,375 128,144 154,756 147,772 4.0 3.5 4.3 4.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,391,745 2,474,836 2,404,610 2,486,875 93,173 84,138 101,801 96,931 3.9 3.4 4.2 3.9

Fort Worth-Arlington. . . . . . . . . . . . . . 1,187,083 1,201,528 1,189,617 1,207,130 48,202 44,006 52,955 50,841 4.1 3.7 4.5 4.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,545,995 3,606,402 3,556,723 3,630,577 197,117 197,395 192,513 201,595 5.6 5.5 5.4 5.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 1,973,203 2,010,061 1,973,526 2,008,957 91,294 97,046 96,793 96,745 4.6 4.8 4.9 4.8

Seattle-Bellevue-Everett. . . . . . . . . . . 1,582,295 1,608,845 1,588,503 1,608,396 65,129 72,669 72,916 70,880 4.1 4.5 4.6 4.4

Tacoma-Lakewood. . . . . . . . . . . . . . . 390,908 401,216 385,023 400,561 26,165 24,377 23,877 25,865 6.7 6.1 6.2 6.5

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. 13-01, dated February 28, 2013, and are available on the BLS website at

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 … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,956.3 1,972.0 1,957.5 1,972.4 14.9 0.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 46.2 46.3 46.5 0.2 0.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 62.4 60.9 62.8 1.9 3.1

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 517.5 521.8 518.5 524.9 6.4 1.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.7 73.8 73.5 75.8 2.3 3.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.2 54.5 54.2 -0.3 -0.6

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 57.7 57.8 57.7 -0.1 -0.2

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 57.4 56.1 57.2 1.1 2.0

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 38.7 37.7 38.4 0.7 1.9

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.5 222.7 220.3 222.8 2.5 1.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.6 179.6 177.2 178.2 1.0 0.6

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.2 171.7 170.7 172.5 1.8 1.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.8 106.5 104.3 106.0 1.7 1.6

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345.4 342.9 358.2 359.4 1.2 0.3

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.8 184.0 186.7 187.7 1.0 0.5

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.0 39.3 39.3 39.2 -0.1 -0.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,627.7 2,696.3 2,575.2 2,656.6 81.4 3.2

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 66.1 66.0 67.0 1.0 1.5

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.9 48.5 47.0 47.2 0.2 0.4

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,902.1 1,960.3 1,868.9 1,936.2 67.3 3.6

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 63.3 60.6 63.5 2.9 4.8

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.6 34.3 33.9 34.3 0.4 1.2

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368.0 380.3 356.1 368.5 12.4 3.5

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 53.3 50.7 51.6 0.9 1.8

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,213.5 1,235.7 1,207.3 1,230.5 23.2 1.9

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.3 244.8 234.7 243.8 9.1 3.9

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.6 114.6 113.4 114.0 0.6 0.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.7 37.8 39.2 1.4 3.7

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 55.8 54.0 55.8 1.8 3.3

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351.3 358.1 349.5 357.3 7.8 2.2

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1 33.8 33.8 33.6 -0.2 -0.6

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,017.8 16,474.0 16,039.0 16,556.8 517.8 3.2

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.2 263.1 256.7 262.7 6.0 2.3

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 79.9 77.5 80.0 2.5 3.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 53.8 51.9 54.2 2.3 4.4

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.3 336.1 326.0 338.7 12.7 3.9

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 38.8 38.5 38.9 0.4 1.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,802.3 5,956.7 5,799.2 5,971.1 171.9 3.0

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 38.1 35.7 38.7 3.0 8.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 65.4 63.7 65.7 2.0 3.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.1 171.5 165.7 172.4 6.7 4.0

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.7 73.0 71.2 73.7 2.5 3.5

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295.7 298.2 294.6 299.4 4.8 1.6

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 65.0 64.5 65.7 1.2 1.9

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,340.9 1,384.3 1,338.3 1,382.9 44.6 3.3

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 914.7 936.3 920.4 946.9 26.5 2.9

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133.1 137.0 133.2 137.8 4.6 3.5

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,384.9 1,418.8 1,389.2 1,426.8 37.6 2.7

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,251.0 2,314.0 2,257.2 2,324.8 67.6 3.0

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,038.8 1,078.0 1,044.6 1,085.8 41.2 3.9

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 115.6 118.9 116.7 120.1 3.4 2.9

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.5 101.8 100.7 103.3 2.6 2.6

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.2 186.0 180.5 186.6 6.1 3.4

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197.6 201.8 197.1 203.6 6.5 3.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216.2 225.9 217.3 227.1 9.8 4.5

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.7 135.6 132.5 136.2 3.7 2.8

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.5 122.0 118.0 122.0 4.0 3.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 42.2 41.0 42.6 1.6 3.9

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,530.3 2,593.4 2,554.9 2,624.0 69.1 2.7

See footnotes at end of table.

Page 14: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.4 186.2 179.0 185.5 6.5 3.6

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.2 279.1 273.7 280.9 7.2 2.6

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,395.0 1,440.4 1,407.3 1,452.3 45.0 3.2

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.3 160.8 157.5 161.4 3.9 2.5

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 62.2 61.1 61.9 0.8 1.3

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.0 102.7 99.8 102.0 2.2 2.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.6 60.9 62.3 1.4 2.3

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,687.7 1,695.3 1,698.7 1,711.5 12.8 0.8

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.4 414.1 416.9 422.1 5.2 1.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 79.3 79.6 79.8 0.2 0.3

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 570.8 576.2 574.1 578.9 4.8 0.8

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.1 281.8 284.0 288.5 4.5 1.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.8 130.3 131.2 131.0 -0.2 -0.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 67.9 67.2 68.7 1.5 2.2

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451.0 462.1 453.5 468.7 15.2 3.4

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 69.3 68.3 69.5 1.2 1.8

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.1 161.7 165.3 172.9 7.6 4.6

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 770.0 777.5 764.3 775.8 11.5 1.5

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,185.4 3,245.8 3,195.0 3,276.1 81.1 2.5

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,093.5 8,356.6 7,998.8 8,255.1 256.3 3.2

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.6 254.9 240.0 250.1 10.1 4.2

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.2 110.3 109.9 111.1 1.2 1.1

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.0 196.2 185.7 194.0 8.3 4.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133.7 136.1 129.5 133.4 3.9 3.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 33.0 32.5 32.6 0.1 0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647.7 669.5 643.0 666.1 23.1 3.6

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.1 212.5 205.3 209.1 3.8 1.9

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,505.0 2,569.4 2,474.9 2,540.5 65.6 2.7

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.5 138.6 131.5 135.4 3.9 3.0

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.4 290.8 280.9 287.4 6.5 2.3

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.4 99.4 96.1 98.8 2.7 2.8

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,155.8 1,205.9 1,147.8 1,199.4 51.6 4.5

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.2 203.8 200.3 203.6 3.3 1.6

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.2 83.9 83.6 84.6 1.0 1.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.5 169.8 165.9 168.2 2.3 1.4

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.6 141.1 134.8 137.6 2.8 2.1

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.9 44.9 46.3 1.4 3.1

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.8 47.8 49.4 1.6 3.3

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.8 25.7 23.4 24.5 1.1 4.7

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170.9 175.0 168.5 171.8 3.3 2.0

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,248.8 1,292.9 1,238.9 1,282.3 43.4 3.5

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.2 26.9 25.8 26.8 1.0 3.9

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,267.2 4,397.6 4,268.5 4,390.1 121.6 2.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.6 62.5 60.5 61.9 1.4 2.3

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.2 94.4 90.5 94.1 3.6 4.0

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,585.2 2,664.1 2,589.5 2,658.9 69.4 2.7

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.9 230.6 227.4 230.7 3.3 1.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 43.5 42.4 43.8 1.4 3.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.0 123.2 122.0 122.5 0.5 0.4

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 69.0 68.1 68.6 0.5 0.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.9 86.8 84.0 87.2 3.2 3.8

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.9 19.8 19.5 19.5 0.0 0.0

Macon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.9 104.3 102.2 104.3 2.1 2.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 40.7 40.2 40.8 0.6 1.5

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.1 178.6 172.4 179.5 7.1 4.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 56.4 54.6 55.8 1.2 2.2

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.0 71.7 71.1 71.6 0.5 0.7

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.0 648.8 635.4 650.8 15.4 2.4

See footnotes at end of table.

Page 15: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.1 75.2 73.1 75.1 2.0 2.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468.9 475.1 467.1 477.3 10.2 2.2

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675.9 695.5 680.7 702.4 21.7 3.2

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293.3 302.2 292.3 304.4 12.1 4.1

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.2 62.2 61.3 63.6 2.3 3.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 64.4 63.1 65.3 2.2 3.5

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.0 28.7 27.8 28.9 1.1 4.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.9 36.8 35.1 36.0 0.9 2.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,001.9 6,036.4 6,016.6 6,056.3 39.7 0.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.0 94.2 93.8 92.3 -1.5 -1.6

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 56.3 55.6 55.3 -0.3 -0.5

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 110.5 105.5 106.7 1.2 1.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,611.2 4,675.7 4,641.0 4,702.7 61.7 1.3

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.7 29.4 29.4 29.5 0.1 0.3

Davenport-Moline-Rock Island1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.5 181.3 186.9 181.4 -5.5 -2.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 51.2 51.7 51.4 -0.3 -0.6

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 44.8 45.0 44.9 -0.1 -0.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.4 178.0 180.8 178.4 -2.4 -1.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.4 155.5 154.2 157.3 3.1 2.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.7 114.6 113.2 115.2 2.0 1.8

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,057.5 3,090.3 3,034.4 3,078.3 43.9 1.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.8 73.1 72.1 71.7 -0.4 -0.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.6 53.1 51.0 53.0 2.0 3.9

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.8 127.2 129.4 125.4 -4.0 -3.1

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.0 156.5 158.2 155.7 -2.5 -1.6

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.3 223.8 218.6 222.2 3.6 1.6

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,023.2 1,037.9 1,019.8 1,036.5 16.7 1.6

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.5 41.0 40.1 41.0 0.9 2.2

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.9 103.1 97.7 100.0 2.3 2.4

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 41.6 42.7 41.9 -0.8 -1.9

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 51.1 50.4 50.8 0.4 0.8

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.1 142.3 138.0 141.2 3.2 2.3

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 71.0 69.3 70.0 0.7 1.0

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,578.9 1,595.7 1,576.5 1,599.6 23.1 1.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.6 49.0 49.9 0.9 1.8

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.8 145.3 145.0 146.5 1.5 1.0

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.8 358.9 354.7 362.8 8.1 2.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 61.0 59.8 61.7 1.9 3.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.8 100.0 97.9 99.6 1.7 1.7

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.5 89.1 88.7 90.6 1.9 2.1

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.3 91.4 90.6 89.8 -0.8 -0.9

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,411.4 1,407.0 1,406.3 1,410.7 4.4 0.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 53.0 49.9 50.2 0.3 0.6

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.7 45.5 41.8 41.9 0.1 0.2

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.2 111.5 112.8 112.1 -0.7 -0.6

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297.8 300.9 296.7 301.5 4.8 1.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,892.7 1,916.2 1,892.9 1,921.4 28.5 1.5

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.1 74.1 72.4 74.0 1.6 2.2

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 57.8 56.3 59.0 2.7 4.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270.9 275.5 270.7 273.6 2.9 1.1

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645.6 659.4 647.5 664.8 17.3 2.7

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 54.4 52.6 54.5 1.9 3.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,999.4 1,980.2 1,991.4 1,978.7 -12.7 -0.6

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 64.4 64.2 64.4 0.2 0.3

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405.4 412.1 403.3 414.6 11.3 2.8

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.0 44.0 43.6 43.6 0.0 0.0

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 93.5 97.3 92.9 -4.4 -4.5

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216.1 207.8 214.5 207.6 -6.9 -3.2

See footnotes at end of table.

Page 16: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Louisiana - Continued

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.7 104.9 102.2 105.4 3.2 3.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 79.8 78.8 79.4 0.6 0.8

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.2 577.0 574.8 576.9 2.1 0.4

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.6 182.6 184.0 182.8 -1.2 -0.7

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613.5 612.5 625.8 629.1 3.3 0.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.1 65.9 66.3 66.6 0.3 0.5

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 51.3 50.7 51.6 0.9 1.8

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.0 200.1 203.4 206.6 3.2 1.6

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,681.6 2,726.2 2,686.9 2,749.0 62.1 2.3

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,375.8 1,400.7 1,373.9 1,411.1 37.2 2.7

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.1 45.0 45.5 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.0 39.6 39.4 39.3 -0.1 -0.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.3 106.2 105.9 107.2 1.3 1.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,519.6 3,568.7 3,548.3 3,614.4 66.1 1.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.3 107.0 113.1 115.3 2.2 1.9

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,665.8 2,699.1 2,682.2 2,733.9 51.7 1.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.5 51.8 51.4 52.1 0.7 1.4

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 67.9 67.9 68.7 0.8 1.2

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.8 43.3 44.5 1.2 2.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332.3 333.3 330.9 330.8 -0.1 0.0

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.6 285.0 281.8 285.3 3.5 1.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,279.0 4,354.0 4,292.4 4,390.9 98.5 2.3

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.2 219.5 210.0 219.3 9.3 4.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 60.0 59.7 60.3 0.6 1.0

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 36.5 36.6 36.7 0.1 0.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,952.4 1,985.8 1,962.0 2,004.1 42.1 2.1

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.9 141.0 140.9 141.7 0.8 0.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 529.8 543.6 531.0 547.1 16.1 3.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 55.5 57.3 55.6 -1.7 -3.0

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 146.1 143.1 146.7 3.6 2.5

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.5 228.9 222.0 226.6 4.6 2.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.8 38.4 38.8 38.8 0.0 0.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 44.0 43.0 44.1 1.1 2.6

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 66.1 65.6 66.7 1.1 1.7

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.2 63.2 64.2 1.0 1.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.1 89.5 88.2 91.0 2.8 3.2

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,881.0 2,902.4 2,906.8 2,941.1 34.3 1.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.6 134.6 137.6 137.2 -0.4 -0.3

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.9 56.6 55.3 56.7 1.4 2.5

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,944.6 1,970.4 1,959.9 1,991.4 31.5 1.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.5 118.3 118.1 120.5 2.4 2.0

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.9 109.5 108.1 111.3 3.2 3.0

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,139.9 1,146.9 1,130.5 1,137.9 7.4 0.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.7 154.2 154.1 154.9 0.8 0.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 63.8 61.5 62.3 0.8 1.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.5 279.6 275.0 277.5 2.5 0.9

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,817.2 2,833.0 2,813.1 2,829.2 16.1 0.6

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 44.7 44.2 45.4 1.2 2.7

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.6 102.7 96.7 97.9 1.2 1.2

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 77.3 76.5 77.3 0.8 1.0

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.3 81.0 80.4 80.3 -0.1 -0.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,048.9 1,062.1 1,053.1 1,068.8 15.7 1.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.2 62.7 63.4 0.7 1.1

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,356.6 1,381.7 1,355.3 1,386.6 31.3 2.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.6 214.2 207.4 213.1 5.7 2.7

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.4 467.1 469.4 474.2 4.8 1.0

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.7 86.5 85.6 86.7 1.1 1.3

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 36.2 37.3 37.0 -0.3 -0.8

See footnotes at end of table.

Page 17: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Montana - Continued

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 60.8 59.2 60.5 1.3 2.2

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013.2 1,023.9 1,013.1 1,025.7 12.6 1.2

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 42.8 42.5 43.2 0.7 1.6

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.1 188.1 183.8 186.3 2.5 1.4

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494.8 499.9 495.9 500.8 4.9 1.0

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260.4 1,288.6 1,257.2 1,293.9 36.7 2.9

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2 28.3 28.6 28.6 0.0 0.0

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 919.1 940.9 915.0 941.1 26.1 2.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.1 217.4 209.9 217.9 8.0 3.8

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660.0 667.4 665.4 677.4 12.0 1.8

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.8 51.9 52.0 0.1 0.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.5 110.4 108.8 111.8 3.0 2.8

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.4 91.8 91.7 94.2 2.5 2.7

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,049.5 4,099.6 4,099.1 4,172.1 73.0 1.8

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.9 129.5 133.4 132.9 -0.5 -0.4

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 46.8 52.7 55.2 2.5 4.7

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.2 267.0 262.2 269.0 6.8 2.6

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 58.0 58.4 57.9 -0.5 -0.9

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 830.9 834.4 818.0 832.0 14.0 1.7

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381.6 387.2 378.3 387.4 9.1 2.4

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 51.7 51.0 51.1 0.1 0.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.5 72.0 69.1 69.9 0.8 1.2

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 63.6 63.3 64.3 1.0 1.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,300.8 9,388.0 9,327.3 9,454.6 127.3 1.4

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462.4 458.8 462.9 461.7 -1.2 -0.3

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.1 104.2 104.8 103.2 -1.6 -1.5

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560.1 563.6 561.9 566.8 4.9 0.9

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 38.1 39.3 38.5 -0.8 -2.0

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.1 59.3 59.1 -0.2 -0.3

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 71.6 68.4 69.2 0.8 1.2

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 62.3 61.9 62.8 0.9 1.5

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,377.2 9,527.4 9,433.3 9,629.8 196.5 2.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.3 530.5 532.6 534.8 2.2 0.4

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.8 318.3 317.6 317.8 0.2 0.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.4 127.9 128.5 128.6 0.1 0.1

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 44.0 44.5 44.9 0.4 0.9

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,266.8 4,342.2 4,257.8 4,341.5 83.7 2.0

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.7 186.3 182.9 185.6 2.7 1.5

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 60.6 59.0 59.8 0.8 1.4

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,109.9 1,136.1 1,109.3 1,138.7 29.4 2.7

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297.9 303.3 293.6 298.8 5.2 1.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.7 130.2 128.4 130.8 2.4 1.9

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 42.9 42.4 42.8 0.4 0.9

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.5 361.1 354.7 360.2 5.5 1.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.5 78.0 77.6 77.6 0.0 0.0

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.4 147.3 147.1 147.1 0.0 0.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.9 49.9 49.2 50.1 0.9 1.8

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 45.0 44.7 45.2 0.5 1.1

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 580.1 597.7 583.2 601.2 18.0 3.1

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.0 56.2 56.0 55.5 -0.5 -0.9

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.6 121.5 120.5 122.3 1.8 1.5

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.1 260.0 257.7 260.6 2.9 1.1

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459.6 442.9 458.6 444.6 -14.0 -3.1

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.3 75.3 75.7 75.8 0.1 0.1

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.2 141.7 139.2 142.3 3.1 2.2

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 57.1 56.7 56.7 0.0 0.0

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,472.1 5,536.9 5,452.9 5,546.9 94.0 1.7

See footnotes at end of table.

Page 18: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Ohio - Continued

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.3 347.5 338.1 342.7 4.6 1.4

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 174.6 173.6 176.0 2.4 1.4

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,070.5 1,085.4 1,068.0 1,086.0 18.0 1.7

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,055.5 1,066.6 1,058.1 1,076.2 18.1 1.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,045.1 1,063.6 1,039.1 1,064.1 25.0 2.4

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380.5 384.7 379.6 386.7 7.1 1.9

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 54.5 52.7 55.2 2.5 4.7

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 52.5 52.7 52.5 -0.2 -0.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.3 51.9 51.4 51.5 0.1 0.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.6 316.9 302.8 315.8 13.0 4.3

Weirton-Steubenville1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.9 44.0 44.0 44.1 0.1 0.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.8 227.1 226.5 226.7 0.2 0.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,675.3 1,674.1 1,666.4 1,666.6 0.2 0.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 46.6 46.6 46.6 0.0 0.0

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631.0 638.6 628.7 635.4 6.7 1.1

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447.5 448.7 446.6 445.8 -0.8 -0.2

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,780.6 1,841.5 1,791.8 1,852.5 60.7 3.4

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.7 42.3 42.6 0.3 0.7

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 78.2 75.3 79.3 4.0 5.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 42.0 42.1 42.5 0.4 1.0

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.1 155.9 153.3 156.1 2.8 1.8

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 25.7 25.3 25.7 0.4 1.6

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 83.5 82.0 84.6 2.6 3.2

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,110.2 1,142.9 1,113.0 1,146.8 33.8 3.0

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.8 161.1 157.0 161.3 4.3 2.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,878.8 5,919.3 5,867.7 5,939.4 71.7 1.2

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.2 360.6 360.9 363.0 2.1 0.6

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 63.1 62.1 63.3 1.2 1.9

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 42.9 41.3 42.1 0.8 1.9

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 61.9 60.4 61.7 1.3 2.2

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.3 57.0 57.0 58.5 1.5 2.6

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.4 129.5 131.1 129.9 -1.2 -0.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.4 35.0 33.8 34.5 0.7 2.1

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.3 340.4 336.6 343.8 7.2 2.1

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 56.4 56.8 56.0 -0.8 -1.4

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246.1 247.7 245.7 247.7 2.0 0.8

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 51.8 51.2 51.8 0.6 1.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,838.3 2,897.5 2,841.8 2,915.6 73.8 2.6

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,173.9 1,170.1 1,172.7 1,179.5 6.8 0.6

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.1 178.7 176.2 178.6 2.4 1.4

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.2 261.0 258.6 261.7 3.1 1.2

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.4 78.8 73.2 74.4 1.2 1.6

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 54.2 55.9 54.5 -1.4 -2.5

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.4 186.5 182.2 186.3 4.1 2.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492.0 492.1 491.6 496.1 4.5 0.9

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583.2 585.6 583.6 590.7 7.1 1.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,015.1 2,062.7 2,017.5 2,067.9 50.4 2.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335.3 342.8 335.4 345.2 9.8 2.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384.6 394.1 382.9 393.2 10.3 2.7

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.1 88.0 86.0 87.3 1.3 1.5

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401.4 410.5 402.0 409.6 7.6 1.9

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.5 78.0 76.6 79.7 3.1 4.0

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.0 164.3 165.3 169.1 3.8 2.3

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.2 145.6 142.3 145.3 3.0 2.1

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.5 38.8 39.3 0.5 1.3

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433.4 439.3 438.2 447.1 8.9 2.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.6 69.6 70.3 0.7 1.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.0 156.7 152.1 158.4 6.3 4.1

See footnotes at end of table.

Page 19: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,889.1 2,957.2 2,871.8 2,942.1 70.3 2.4

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.2 250.7 245.8 249.8 4.0 1.6

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.0 91.2 87.4 89.5 2.1 2.4

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 47.9 45.5 47.4 1.9 4.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 67.1 66.3 67.0 0.7 1.1

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 79.5 76.2 77.1 0.9 1.2

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.1 122.9 120.0 121.1 1.1 0.9

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386.0 396.4 381.7 392.7 11.0 2.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.0 633.8 621.5 630.4 8.9 1.4

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 46.2 44.1 45.5 1.4 3.2

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 911.4 936.9 907.8 936.0 28.2 3.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,840.4 12,016.2 11,862.9 12,035.5 172.6 1.5

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 68.8 68.5 68.9 0.4 0.6

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.4 120.8 118.5 120.4 1.9 1.6

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 956.7 993.0 962.4 1,000.8 38.4 4.0

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.7 167.8 167.5 167.8 0.3 0.2

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.0 143.5 140.5 144.4 3.9 2.8

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 114.7 106.3 110.9 4.6 4.3

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.8 197.4 194.2 197.7 3.5 1.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,389.8 3,515.7 3,409.3 3,523.4 114.1 3.3

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.0 311.2 302.2 308.2 6.0 2.0

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,990.0 2,993.2 2,993.5 2,998.7 5.2 0.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.7 142.4 138.4 141.8 3.4 2.5

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 103.2 101.2 103.7 2.5 2.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.2 100.0 100.1 100.4 0.3 0.3

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.1 144.5 139.4 143.6 4.2 3.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.2 256.6 249.1 254.1 5.0 2.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.7 90.7 92.7 91.0 -1.7 -1.8

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.3 72.8 75.3 72.8 -2.5 -3.3

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 50.1 49.3 50.4 1.1 2.2

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 981.8 1,009.7 985.2 1,008.6 23.4 2.4

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.9 46.6 47.0 0.4 0.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.2 60.8 60.2 60.9 0.7 1.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.9 103.1 101.9 104.0 2.1 2.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.4 44.9 45.5 0.6 1.3

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.7 117.3 115.2 118.2 3.0 2.6

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.5 58.7 58.7 58.9 0.2 0.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,373.4 1,417.2 1,379.3 1,427.8 48.5 3.5

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 61.2 58.7 61.3 2.6 4.4

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.4 251.6 242.1 251.8 9.7 4.0

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.3 233.1 223.8 235.5 11.7 5.2

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 61.3 57.1 60.9 3.8 6.7

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 674.2 694.8 676.1 697.3 21.2 3.1

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.8 315.4 312.7 317.3 4.6 1.5

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.9 125.2 124.3 126.0 1.7 1.4

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,852.2 3,927.0 3,866.7 3,956.8 90.1 2.3

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 76.9 74.6 74.9 0.3 0.4

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.3 117.6 112.2 116.6 4.4 3.9

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 63.8 63.6 63.6 0.0 0.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 104.1 103.7 104.1 0.4 0.4

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 648.6 672.8 651.7 676.1 24.4 3.7

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.3 163.1 161.1 162.7 1.6 1.0

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 49.2 49.7 49.2 -0.5 -1.0

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 767.6 772.1 773.9 778.2 4.3 0.6

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 63.6 61.3 63.3 2.0 3.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,156.6 3,256.8 3,178.4 3,274.8 96.4 3.0

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.4 89.9 89.0 90.0 1.0 1.1

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.8 89.4 88.8 90.2 1.4 1.6

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.3 111.2 109.4 111.6 2.2 2.0

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 40.1 39.2 40.0 0.8 2.0

See footnotes at end of table.

Page 20: METROPOLITAN AREA EMPLOYMENT AND … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area — Continued[In thousands]

State and areaMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

Washington - Continued

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.7 49.7 49.1 50.8 1.7 3.5

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.3 112.6 109.7 112.7 3.0 2.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,886.4 1,953.3 1,904.3 1,971.6 67.3 3.5

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.1 240.8 237.2 242.4 5.2 2.2

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.4 27.8 27.1 27.5 0.4 1.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.0 43.7 44.2 44.2 0.0 0.0

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.0 83.8 82.1 83.8 1.7 2.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773.2 778.3 766.0 766.3 0.3 0.0

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.6 47.5 47.9 47.3 -0.6 -1.3

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.0 123.2 124.2 123.6 -0.6 -0.5

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.0 143.8 139.6 140.9 1.3 0.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.1 73.5 68.2 69.4 1.2 1.8

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 43.0 42.3 41.7 -0.6 -1.4

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.2 68.9 68.2 68.3 0.1 0.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,899.8 2,939.2 2,921.4 2,973.1 51.7 1.8

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.1 124.5 125.1 126.7 1.6 1.3

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.5 86.3 85.2 85.1 -0.1 -0.1

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 48.9 48.5 49.1 0.6 1.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.9 174.6 176.2 176.8 0.6 0.3

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 70.3 67.2 70.8 3.6 5.4

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 78.9 76.7 78.0 1.3 1.7

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387.5 395.0 389.9 395.3 5.4 1.4

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 857.1 860.4 862.5 872.3 9.8 1.1

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.7 95.5 94.4 95.4 1.0 1.1

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 77.1 78.3 78.2 -0.1 -0.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 61.8 62.4 63.0 0.6 1.0

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 72.7 73.4 73.8 0.4 0.5

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292.2 283.2 297.2 289.6 -7.6 -2.6

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 39.7 42.2 40.1 -2.1 -5.0

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.3 47.0 47.3 47.3 0.0 0.0

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 904.4 895.1 895.5 888.2 -7.3 -0.8

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.4 50.7 51.3 0.6 1.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 33.3 32.2 32.8 0.6 1.9

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 15.3 14.9 15.2 0.3 2.0

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.3 34.2 34.4 34.2 -0.2 -0.6

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.2 70.8 71.3 69.8 -1.5 -2.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.6 19.8 20.5 19.6 -0.9 -4.4

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 655.6 647.3 649.2 642.8 -6.4 -1.0

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 38.0 37.9 37.9 0.0 0.0

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 the 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. 13-01, dated February 28, 2013, and are available on the BLS website atwww.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 … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division1

[In thousands]

State, area, and divisionMay June

Change fromJune 2015 to June 2016p

2015 2016 2015 2016p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,017.8 16,474.0 16,039.0 16,556.8 517.8 3.2

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,802.3 5,956.7 5,799.2 5,971.1 171.9 3.0

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,535.4 1,584.1 1,540.4 1,589.8 49.4 3.2

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,266.9 4,372.6 4,258.8 4,381.3 122.5 2.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,251.0 2,314.0 2,257.2 2,324.8 67.6 3.0

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,094.9 1,120.8 1,097.6 1,124.4 26.8 2.4

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,043.7 1,076.6 1,046.2 1,082.5 36.3 3.5

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 116.6 113.4 117.9 4.5 4.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 770.0 777.5 764.3 775.8 11.5 1.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,185.4 3,245.8 3,195.0 3,276.1 81.1 2.5

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 588.5 595.3 593.1 603.2 10.1 1.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,596.9 2,650.5 2,601.9 2,672.9 71.0 2.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,093.5 8,356.6 7,998.8 8,255.1 256.3 3.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,505.0 2,569.4 2,474.9 2,540.5 65.6 2.7

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 796.4 828.1 789.4 825.3 35.9 4.5

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,123.4 1,143.5 1,109.1 1,127.7 18.6 1.7

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.2 597.8 576.4 587.5 11.1 1.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,001.9 6,036.4 6,016.6 6,056.3 39.7 0.7

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,611.2 4,675.7 4,641.0 4,702.7 61.7 1.3

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,669.6 3,716.9 3,694.1 3,737.8 43.7 1.2

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.7 261.4 258.4 262.9 4.5 1.7

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.0 278.9 273.3 276.8 3.5 1.3

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.9 418.5 415.2 425.2 10.0 2.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,519.6 3,568.7 3,548.3 3,614.4 66.1 1.9

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,665.8 2,699.1 2,682.2 2,733.9 51.7 1.9

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,783.7 1,808.0 1,793.4 1,831.4 38.0 2.1

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 82.6 80.9 81.8 0.9 1.1

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 175.3 176.1 178.3 2.2 1.2

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 68.4 67.5 70.1 2.6 3.9

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2 83.0 83.1 83.7 0.6 0.7

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.3 151.6 151.4 153.1 1.7 1.1

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 45.2 46.2 46.4 0.2 0.4

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.1 127.7 127.7 129.9 2.2 1.7

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.4 96.9 96.4 97.9 1.5 1.6

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 60.4 59.5 61.3 1.8 3.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,279.0 4,354.0 4,292.4 4,390.9 98.5 2.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,952.4 1,985.8 1,962.0 2,004.1 42.1 2.1

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739.1 750.0 741.3 754.6 13.3 1.8

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,213.3 1,235.8 1,220.7 1,249.5 28.8 2.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,300.8 9,388.0 9,327.3 9,454.6 127.3 1.4

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,377.2 9,527.4 9,433.3 9,629.8 196.5 2.1

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.0 147.1 145.1 147.8 2.7 1.9

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,320.0 1,325.4 1,335.4 1,347.5 12.1 0.9

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.3 1,211.7 1,202.2 1,225.6 23.4 1.9

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,717.9 6,843.2 6,750.6 6,908.9 158.3 2.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,878.8 5,919.3 5,867.7 5,939.4 71.7 1.2

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,838.3 2,897.5 2,841.8 2,915.6 73.8 2.6

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523.7 535.6 527.7 543.5 15.8 3.0

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,039.5 1,059.2 1,044.5 1,072.2 27.7 2.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917.4 936.0 912.3 930.3 18.0 2.0

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.7 366.7 357.3 369.6 12.3 3.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11,840.4 12,016.2 11,862.9 12,035.5 172.6 1.5

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,389.8 3,515.7 3,409.3 3,523.4 114.1 3.3

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,391.2 2,502.4 2,408.7 2,508.3 99.6 4.1

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998.6 1,013.3 1,000.6 1,015.1 14.5 1.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,156.6 3,256.8 3,178.4 3,274.8 96.4 3.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,886.4 1,953.3 1,904.3 1,971.6 67.3 3.5

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,589.8 1,647.3 1,606.3 1,663.3 57.0 3.5

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.6 306.0 298.0 308.3 10.3 3.5

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. 13-01, dated February 28, 2013, and available at 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 … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

Map 1. Unemployment rates for metropolitan areas, not seasonally adjusted, June 2016

(U.S. rate = 5.1 percent)

Map includes data for 387 metropolitan areas basedon Office of Management and Budget Bulletin No. 13-01. 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 … · to be released on Friday, August 19, 2016, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for July is

Map 2. Over-the-year percentage change in employment, by metropolitan area, not seasonally adjusted, June 2016

(U.S. average = 1.8 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 387metropolitan areas based on Office ofManagment and Budget Bulletin No. 13-01. Areas in the six New England statesare Metropolitan New England City andTown areas (NECTAs), while areas inother states are county based.