For release 10:00 a.m. (EDT) Wednesday, August 1, 2018 USDL-18-1239 

Technical information:

 Employment: (202) 691-6559 • sminfo@bls.gov • www.bls.gov/sae 

 Unemployment: (202) 691-6392 • lausinfo@bls.gov • www.bls.gov/lau 

Media contact: (202) 691-5902 • PressOffice@bls.gov 

METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — JUNE 2018

Unemployment rates were lower in June than a year earlier in 298 of the 388 metropolitan areas, higher

in 61 areas, and unchanged in 29 areas, the U.S. Bureau of Labor Statistics reported today. Thirty-eight

areas had jobless rates of less than 3.0 percent and two areas had rates of at least 10.0 percent. Nonfarm 

payroll employment increased over the year in 51 metropolitan areas and was essentially unchanged in 

337 areas. The national unemployment rate in June was 4.2 percent, not seasonally adjusted, down from 

4.5 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In June, Ames, IA, had the lowest unemployment rate, 2.0 percent. Yuma, AZ, and El Centro, CA, had

the highest unemployment rates, 19.1 percent and 18.0 percent, respectively. A total of 190 areas had 

June jobless rates above the U.S. rate of 4.2 percent, 185 areas had rates below it, and 13 areas had rates 

equal to that of the nation. (See table 1 and map 1.) 

Farmington, NM, had the largest over-the-year unemployment rate decrease in June (-2.1 percentage 

points). Nine additional areas had rate declines of at least 1.0 percentage point. The largest over-the-year

rate increase occurred in Texarkana, TX-AR (+0.8 percentage point).

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Minneapolis-St. PaulBloomington, MN-WI, had the lowest unemployment rate in June, 2.8 percent. Cleveland-Elyria, OH, 

had the highest jobless rate among the large areas, 6.1 percent. Thirty-nine large areas had over-the-year 

unemployment rate decreases, nine had increases, and three had no change. The largest rate decreases 

occurred in Atlanta-Sandy Springs-Roswell, GA; Las Vegas-Henderson-Paradise, NV; Pittsburgh, PA; 

and Virginia Beach-Norfolk-Newport News, VA-NC (-0.8 percentage point each). No large area had an 

unemployment rate increase greater than 0.3 percentage point. 

Expanded Use of Statistical Significance in Nonfarm Payroll Employment Analysis 

Beginning with this news release, the nonfarm payroll employment analysis has been updated to 

reflect statistical significance. For more information, see the Technical Note section on reliability of 

the estimates.
- 2 - 

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, San Francisco-Redwood City-South San 

Francisco, CA, had the lowest unemployment rate among the divisions, 2.6 percent. Detroit-DearbornLivonia, MI, had the highest division rate, 5.4 percent. (See table 2.)

In June, 30 metropolitan divisions had over-the-year unemployment rate decreases, 6 had increases, and 

2 had no change. The largest rate decline occurred in Chicago-Naperville-Arlington Heights, IL (-1.1 

percentage points). No metropolitan division had an unemployment rate increase greater than 0.4 

percentage point. 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In June, 51 metropolitan areas had over-the-year increases in nonfarm payroll employment and 337 were 

essentially unchanged. The largest over-the-year employment increases occurred in New York-NewarkJersey City, NY-NJ-PA (+117,400), Dallas-Fort Worth-Arlington, TX (+109,400), and Houston-The 

Woodlands-Sugar Land, TX (+94,600). The largest over-the-year percentage gains in employment 

occurred in Midland, TX (+9.5 percent), Crestview-Fort Walton Beach-Destin, FL (+4.5 percent), and 

Olympia-Tumwater, WA, and Provo-Orem, UT (+4.0 percent each). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 35 of 51 metropolitan areas with a 2010 Census population 

of 1 million or more while employment remained essentially unchanged in 16. The largest over-the-year 

percentage increases in employment in these large metropolitan areas occurred in Orlando-KissimmeeSanford, FL (+3.6 percent), Austin-Round Rock, TX (+3.4 percent), and Raleigh, NC, and RiversideSan Bernardino-Ontario, CA (+3.2 percent each). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In June, nonfarm payroll employment increased in 13 of the 38 metropolitan divisions over the year and 

remained essentially unchanged in 25. The largest over-the-year increase in employment among the 

metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+97,100), followed by 

Dallas-Plano-Irving, TX (+83,300), and Los Angeles-Long Beach-Glendale, CA (+66,400). (See 

table 4.) 

The largest over-the-year percentage increase occurred in Tacoma-Lakewood, WA (+4.0 percent), 

followed by Dallas-Plano-Irving, TX (+3.2 percent), and Seattle-Bellevue-Everett, WA (+2.8 percent). 

_____________ 

The State Employment and Unemployment news release for July is scheduled to be released on 

Friday, August 17, 2018, at 10:00 a.m. (EDT). The Metropolitan Area Employment and 

Unemployment news release for July is scheduled to be released on Wednesday, August 29, 2018, 

at 10:00 a.m. (EDT). 
Technical Note

This release presents civilian labor force and unemployment 

data from the Local Area Unemployment Statistics (LAUS) 

program (tables 1 and 2) for 388 metropolitan statistical areas 

and metropolitan New England City and Town Areas 

(NECTAs), plus 7 areas in Puerto Rico. Estimates for 38 

metropolitan and NECTA divisions also are presented. 

Nonfarm payroll employment estimates from the Current 

Employment Statistics (CES) program (tables 3 and 4) are 

provided for the same areas. State estimates were previously 

published in the news release State Employment and 

Unemployment, and are republished in this release for ease of 

reference. The LAUS and CES programs are both federal-state 

cooperative endeavors.

Civilian labor force and unemployment—from the 

LAUS program 

Definitions. The civilian labor force and unemployment 

data are based on the same concepts and definitions as those 

used for the official national estimates obtained from the 

Current Population Survey (CPS), a sample survey of 

households that is conducted for the Bureau of Labor Statistics 

(BLS) by the U.S. Census Bureau. The LAUS program 

measures employed persons and unemployed persons on a 

place-of-residence basis. The universe for each is the civilian 

noninstitutional population 16 years of age and older. 

Employed persons are those who did any work at all for pay or 

profit in the reference week (typically the week including the 

12th of the month) or worked 15 hours or more without pay in 

a family business or farm, plus those not working who had a 

job from which they were temporarily absent, whether or not 

paid, for such reasons as labor-management dispute, illness, or 

vacation. Unemployed persons are those who were not 

employed during the reference week (based on the definition 

above), had actively looked for a job sometime in the 4-week 

period ending with the reference week, and were currently 

available for work; persons on layoff expecting recall need not 

be looking for work to be counted as unemployed. The civilian

labor force is the sum of employed and unemployed persons. 

The unemployment rate is the number of unemployed as a 

percent of the civilian labor force. 

Method of estimation. Estimates for states, the District 

of Columbia, the Los Angeles-Long Beach-Glendale 

metropolitan division, and New York City are produced using 

time-series models with real-time benchmarking to national 

CPS totals. Model-based estimates are also produced for the

following areas and their respective balances: the ChicagoNaperville-Arlington Heights, IL Metropolitan Division; 

Cleveland-Elyria, OH Metropolitan Statistical Area; DetroitWarren-Dearborn, MI Metropolitan Statistical Area; MiamiMiami Beach-Kendall, FL Metropolitan Division; and SeattleBellevue-Everett, WA Metropolitan Division. Modeling 

improves the statistical basis of the estimation for these areas 

and provides important tools for analysis, such as measures of 

errors and seasonally adjusted series. For all other substate 

areas in this release, estimates are prepared through indirect 

estimation procedures using a building-block approach. 

Estimates of employed persons, which are based largely on 

“place of work” estimates from the CES program, are adjusted 

to refer to place of residence as used in the CPS. 

Unemployment estimates are aggregates of persons previously 

employed in industries covered by state unemployment 

insurance (UI) laws and entrants to the labor force from the 

CPS. The substate estimates of employment and 

unemployment, which geographically exhaust the entire state, 

are adjusted proportionally to ensure that they add to the 

independently estimated model-based area totals. A detailed 

description of the estimation procedures is available from BLS 

upon request.

Annual revisions. Civilian labor force and 

unemployment data shown for the prior year reflect 

adjustments made at the beginning of each year, usually 

implemented with the issuance of January estimates. The 

adjusted model-based estimates typically reflect updated 

population data from the U.S. Census Bureau, any revisions in 

other input data sources, and model re-estimation. All substate 

estimates then are re-estimated using updated inputs and 

adjusted to add to the revised model-based totals. In early 

2015, a new generation of time-series models was

implemented, resulting in the replacement of data back to the 

series beginnings. At the same time, enhancements were made 

to the substate estimation methodology, and more timely inputs 

from the American Community Survey were incorporated.

Employment—from the CES program 

Definitions. Employment data refer to persons on 

establishment payrolls who receive pay for any part of the pay 

period that includes the 12th of the month. Persons are counted 

at their place of work rather than at their place of residence; 

those appearing on more than one payroll are counted on each 

payroll. Industries are classified on the basis of their principal 

activity in accordance with the 2017 version of the North 

American Industry Classification System. 

Method of estimation. CES State and Area employment 

data are produced using several estimation procedures. Where 

possible these data are produced using a "weighted link 

relative" estimation technique in which a ratio of current-month 

weighted employment to that of the previous-month weighted 

employment is computed from a sample of establishments 

reporting for both months. The estimates of employment for the 

current month are then obtained by multiplying these ratios by 

the previous month’s employment estimates. The weighted link 

relative technique is utilized for data series where the sample 

size meets certain statistical criteria.

For some employment series, the sample of 

establishments is very small or highly variable. In these cases, 
a model-based approach is used in estimation. These models 

use the direct sample estimates (described above), combined 

with forecasts of historical (benchmarked) data to decrease 

volatility in estimation. Two different models (Fay-Herriot 

Model and Small Domain Model) are used depending on the 

industry level being estimated. For more detailed information 

about each model, refer to the BLS Handbook of Methods.

Annual revisions. Employment estimates are adjusted 

annually to a complete count of jobs, called benchmarks, 

derived principally from tax reports that are submitted by 

employers who are covered under state unemployment 

insurance (UI) laws. The benchmark information is used to 

adjust the monthly estimates between the new benchmark and 

the preceding one and also to establish the level of employment 

for the new benchmark month. Thus, the benchmarking process 

establishes the level of employment, and the sample is used to 

measure the month-to-month changes in the level for the 

subsequent months. 

Seasonal adjustment. Payroll employment data are 

seasonally adjusted for states, metropolitan areas, and 

metropolitan divisions at the total nonfarm level. For states, 

data are seasonally adjusted at the supersector level as well. 

Revisions to historical data for the most recent 5 years are made 

once a year, coincident with annual benchmark adjustments.

Beginning with the release of January 2018 preliminary 

estimates, payroll employment data are seasonally adjusted 

concurrently, using all available estimates including those for 

the current month, to develop sample-based seasonal factors. 

Concurrent sample-based factors are created every month for 

the current month's preliminary estimate as well as the

previous month's final estimate in order to incorporate realtime estimates. Previously, the sample-based seasonal factors 

were forecasted once annually at the beginning of the year and 

applied to the sample-based estimates for the 12 months of the 

year.

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.

Use of error measures

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

www.bls.gov/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. Changes in metropolitan area 

nonfarm payroll employment are cited in the analysis of this 

release only if they have been determined to be statistically 

significant at the 90-percent confidence level. Measures of 

sampling error for the total nonfarm employment series are 

available for metropolitan areas and metropolitan divisions at 

www.bls.gov/web/laus/790stderr.htm. Measures of sampling 

error for more detailed series at the area and division level are 

available upon request. Measures of sampling error for states at 

the supersector level and for the private service-providing, 

goods-producing, total private and total nonfarm levels are 

available on the BLS website at

www.bls.gov/web/laus/790stderr.htm. Information on recent 

benchmark revisions is available online at 

www.bls.gov/web/laus/benchmark.pdf.

Area definitions

The substate area data published in this release reflect the 

delineations issued by the U.S. Office of Management and 

Budget on July 15, 2015. Data reflect New England City and 

Town Area (NECTA) definitions, rather than county-based 

definitions, in the six New England States. A detailed list of the 

geographic definitions is available online at 

www.bls.gov/lau/lausmsa.htm. 

Additional information

Estimates of unadjusted and seasonally adjusted civilian

labor force and unemployment data for states and seven 

substate areas are available in the news release State 

Employment and Unemployment. Estimates of civilian labor 

force and unemployment for all states, metropolitan areas, 

counties, cities with a population of 25,000 or more, and other 

areas used in the administration of various federal economic 

assistance programs are available online 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.

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,163,796 2,194,490 2,180,163 2,226,756 86,255 81,511 105,578 110,321 4.0 3.7 4.8 5.0

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,431 46,221 45,736 46,940 2,057 2,071 2,505 2,758 4.5 4.5 5.5 5.9

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 72,762 74,319 73,280 75,487 2,613 2,529 3,277 3,537 3.6 3.4 4.5 4.7

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 534,010 543,101 537,773 548,975 19,728 18,175 23,738 24,585 3.7 3.3 4.4 4.5

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 92,153 95,399 94,176 98,375 3,216 3,083 3,873 4,177 3.5 3.2 4.1 4.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,437 69,518 69,016 70,744 2,655 2,469 3,223 3,287 3.9 3.6 4.7 4.6

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,658 62,469 62,095 63,308 2,451 2,392 2,939 3,187 4.0 3.8 4.7 5.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,025 64,974 65,199 66,160 2,805 2,636 3,515 3,628 4.3 4.1 5.4 5.5

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,026 43,378 43,253 43,898 1,792 1,673 2,164 2,237 4.2 3.9 5.0 5.1

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,730 220,327 217,463 224,174 7,660 7,165 9,377 9,777 3.6 3.3 4.3 4.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,607 187,778 186,498 189,962 8,793 8,258 10,673 10,901 4.7 4.4 5.7 5.7

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,609 173,357 173,759 175,533 6,409 6,282 7,884 8,396 3.7 3.6 4.5 4.8

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 111,959 115,082 112,388 116,095 4,429 4,540 5,687 5,908 4.0 3.9 5.1 5.1

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363,941 360,833 370,665 363,958 25,680 25,085 26,832 24,483 7.1 7.0 7.2 6.7

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 203,335 201,473 204,459 201,516 13,343 12,885 13,948 12,558 6.6 6.4 6.8 6.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,473 47,008 46,734 45,719 2,935 2,940 2,997 2,768 6.2 6.3 6.4 6.1

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,288,898 3,363,884 3,306,901 3,365,843 153,047 132,707 167,703 163,007 4.7 3.9 5.1 4.8

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,304 76,181 75,892 76,170 3,776 3,182 4,398 4,101 5.0 4.2 5.8 5.4

Lake Havasu City-Kingman. . . . . . . . . . . . 82,210 84,740 82,934 85,591 4,523 3,920 4,895 4,850 5.5 4.6 5.9 5.7

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,281,886 2,347,767 2,298,384 2,350,877 92,466 80,116 100,809 98,154 4.1 3.4 4.4 4.2

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,928 103,910 103,147 104,381 4,381 3,720 4,622 4,593 4.3 3.6 4.5 4.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,655 48,460 49,630 48,750 2,578 2,259 2,775 2,705 5.2 4.7 5.6 5.5

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,428 481,610 471,724 477,677 20,389 17,412 22,051 21,281 4.3 3.6 4.7 4.5

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,379 91,596 94,927 92,930 16,228 14,650 18,254 17,759 17.2 16.0 19.2 19.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,358,442 1,350,631 1,374,820 1,363,752 48,170 47,668 54,092 53,910 3.5 3.5 3.9 4.0

Fayetteville-Springdale-Rogers. . . . . . . . . 273,505 276,589 275,015 276,175 7,403 7,186 8,329 8,028 2.7 2.6 3.0 2.9

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,224 118,214 121,223 119,775 4,951 4,716 5,362 4,959 4.1 4.0 4.4 4.1

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,380 40,207 41,465 40,737 1,557 1,556 1,774 1,773 3.9 3.9 4.3 4.4

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,036 64,116 64,433 64,794 1,954 1,941 2,254 2,270 3.1 3.0 3.5 3.5

Little Rock-North Little Rock-Conway. . . . 355,277 353,951 359,520 358,634 11,451 11,446 12,497 12,575 3.2 3.2 3.5 3.5

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,508 34,824 35,741 35,199 1,677 1,693 1,924 1,959 4.7 4.9 5.4 5.6

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,213,327 19,268,270 19,296,724 19,356,180 846,642 712,769 931,754 869,417 4.4 3.7 4.8 4.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 385,486 381,120 387,561 387,344 33,975 29,476 35,640 33,821 8.8 7.7 9.2 8.7

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,127 103,226 102,041 103,243 5,376 4,407 5,975 5,504 5.2 4.3 5.9 5.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,838 71,994 74,341 73,456 13,095 11,267 13,952 13,233 17.7 15.6 18.8 18.0

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451,039 454,005 452,041 456,078 35,294 30,944 36,445 34,674 7.8 6.8 8.1 7.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,735 57,922 58,205 58,027 4,611 3,996 5,069 4,759 8.0 6.9 8.7 8.2

Los Angeles-Long Beach-Anaheim. . . . . 6,700,384 6,728,376 6,715,050 6,748,582 277,166 249,462 304,228 300,641 4.1 3.7 4.5 4.5

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,535 61,784 61,497 61,639 4,741 4,021 4,861 4,541 7.7 6.5 7.9 7.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,976 116,537 116,302 117,851 10,202 9,022 10,547 10,169 8.8 7.7 9.1 8.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244,152 242,530 243,165 243,191 17,672 14,703 18,577 17,511 7.2 6.1 7.6 7.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,440 73,768 75,223 74,181 2,368 1,848 2,621 2,323 3.2 2.5 3.5 3.1

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,084 424,285 425,868 425,266 16,789 13,365 18,852 16,850 3.9 3.2 4.4 4.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,200 73,796 75,160 74,771 3,945 3,209 4,164 3,850 5.3 4.3 5.5 5.1

Riverside-San Bernardino-Ontario. . . . . . 2,003,640 2,020,095 2,013,511 2,031,563 92,761 73,995 107,027 95,200 4.6 3.7 5.3 4.7

Sacramento--Roseville--Arden-Arcade. . . 1,072,845 1,071,527 1,080,294 1,078,132 44,775 34,942 50,042 44,455 4.2 3.3 4.6 4.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,251 226,454 228,389 229,957 13,363 11,982 12,681 12,083 5.9 5.3 5.6 5.3

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,573,912 1,576,773 1,584,486 1,582,000 58,239 45,219 66,340 58,429 3.7 2.9 4.2 3.7

San Francisco-Oakland-Hayward. . . . . . . 2,555,405 2,555,394 2,569,554 2,564,241 78,459 60,675 89,436 77,861 3.1 2.4 3.5 3.0

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,060,367 1,074,036 1,070,664 1,084,360 32,575 25,003 36,757 32,193 3.1 2.3 3.4 3.0

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,146 143,207 144,581 144,521 4,446 3,572 5,228 4,702 3.1 2.5 3.6 3.3

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 144,221 145,782 147,384 148,530 7,315 6,246 7,221 6,696 5.1 4.3 4.9 4.5

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,504 217,651 218,784 218,668 8,136 6,826 9,251 8,609 3.7 3.1 4.2 3.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,413 262,419 263,195 263,480 7,964 6,234 9,068 8,028 3.0 2.4 3.4 3.0

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 327,397 328,046 323,523 324,376 20,670 17,366 22,146 20,644 6.3 5.3 6.8 6.4

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,029 207,085 209,683 207,097 9,135 7,095 10,017 8,783 4.4 3.4 4.8 4.2

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 210,220 210,541 208,802 211,194 19,496 17,835 20,244 20,326 9.3 8.5 9.7 9.6

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,486 73,806 75,811 74,548 5,814 4,775 5,832 5,413 7.8 6.5 7.7 7.3

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,963,182 3,074,492 3,004,021 3,115,806 75,693 74,560 87,832 93,191 2.6 2.4 2.9 3.0

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,617 192,703 186,055 191,501 4,111 4,046 4,859 5,187 2.2 2.1 2.6 2.7

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 337,066 351,794 341,241 356,575 9,668 9,778 11,708 12,667 2.9 2.8 3.4 3.6

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,578,183 1,633,355 1,600,027 1,657,807 38,379 37,846 45,005 47,746 2.4 2.3 2.8 2.9

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 195,611 203,517 195,047 203,631 4,246 4,101 4,877 5,228 2.2 2.0 2.5 2.6

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 73,500 75,743 73,596 75,359 2,475 2,183 2,917 2,756 3.4 2.9 4.0 3.7

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,751 164,303 156,503 164,068 3,709 3,536 4,403 4,482 2.4 2.2 2.8 2.7

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,298 75,439 74,736 76,232 2,815 2,650 3,321 3,393 3.8 3.5 4.4 4.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,930,665 1,903,930 1,942,078 1,916,971 89,792 80,819 93,578 86,452 4.7 4.2 4.8 4.5

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 474,118 465,580 477,353 470,629 22,266 19,698 23,201 21,253 4.7 4.2 4.9 4.5

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,046 107,771 109,686 108,674 4,143 3,738 4,403 4,128 3.8 3.5 4.0 3.8

Hartford-West Hartford-East Hartford. . . . 629,723 623,580 632,452 626,368 29,092 26,591 30,536 28,352 4.6 4.3 4.8 4.5

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 332,361 326,987 334,189 328,709 15,484 13,746 16,268 14,813 4.7 4.2 4.9 4.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 145,343 144,089 147,449 145,871 6,633 6,005 6,779 6,267 4.6 4.2 4.6 4.3

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,912 110,924 113,539 111,299 6,459 5,887 6,515 6,090 5.7 5.3 5.7 5.5

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475,357 484,832 481,712 491,712 20,587 16,689 23,782 20,017 4.3 3.4 4.9 4.1

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,005 79,574 78,402 80,212 3,693 2,995 4,386 3,756 4.7 3.8 5.6 4.7

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 189,590 189,601 200,527 197,492 8,982 8,254 9,514 9,312 4.7 4.4 4.7 4.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . 398,908 408,402 404,318 412,386 23,115 21,065 26,479 24,531 5.8 5.2 6.5 5.9

Washington-Arlington-Alexandria. . . . . . . 3,387,247 3,423,291 3,416,033 3,463,540 122,253 110,331 133,569 127,913 3.6 3.2 3.9 3.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,120,621 10,270,192 10,127,782 10,289,809 408,129 345,444 438,687 398,901 4.0 3.4 4.3 3.9

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 337,515 338,021 335,329 337,424 13,031 10,672 14,006 12,786 3.9 3.2 4.2 3.8

Crestview-Fort Walton Beach-Destin. . . . 125,990 131,764 129,545 134,665 4,124 3,492 4,453 4,162 3.3 2.7 3.4 3.1

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,956 303,638 298,870 304,789 12,804 10,717 13,561 12,307 4.3 3.5 4.5 4.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 141,471 143,220 140,704 142,215 5,013 4,304 5,742 5,253 3.5 3.0 4.1 3.7

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,402 48,400 48,371 49,085 2,717 2,327 2,864 2,730 5.6 4.8 5.9 5.6

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 761,571 781,809 767,224 787,548 29,199 24,551 32,113 29,336 3.8 3.1 4.2 3.7

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 293,681 300,049 294,103 300,509 13,026 11,129 14,303 13,230 4.4 3.7 4.9 4.4

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,148,984 3,173,758 3,137,923 3,174,332 133,176 112,531 140,553 124,376 4.2 3.5 4.5 3.9

Naples-Immokalee-Marco Island. . . . . . . . 174,070 172,828 169,821 168,622 6,406 5,354 7,091 6,510 3.7 3.1 4.2 3.9

North Port-Sarasota-Bradenton. . . . . . . . . 360,758 368,387 359,953 367,265 13,565 11,428 14,385 13,565 3.8 3.1 4.0 3.7

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,210 136,257 134,835 136,592 6,460 5,488 6,870 6,430 4.8 4.0 5.1 4.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,299,512 1,338,139 1,308,697 1,348,948 47,619 40,580 52,017 47,724 3.7 3.0 4.0 3.5

Palm Bay-Melbourne-Titusville. . . . . . . . . 269,419 271,920 271,759 272,707 11,203 9,181 11,964 10,575 4.2 3.4 4.4 3.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 95,156 98,116 97,618 99,937 3,765 3,135 3,967 3,614 4.0 3.2 4.1 3.6

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 223,461 226,075 225,508 227,086 8,640 7,320 9,644 8,761 3.9 3.2 4.3 3.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 211,489 213,925 211,223 213,420 9,711 8,352 10,454 9,738 4.6 3.9 4.9 4.6

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,321 71,268 70,237 71,256 3,212 2,637 3,341 3,083 4.6 3.7 4.8 4.3

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,512 63,902 63,552 64,211 3,083 2,617 3,299 3,087 4.9 4.1 5.2 4.8

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,718 36,261 35,595 35,433 1,918 1,588 2,079 1,913 5.2 4.4 5.8 5.4

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 190,568 192,624 189,931 193,509 7,279 6,167 8,268 7,551 3.8 3.2 4.4 3.9

Tampa-St. Petersburg-Clearwater. . . . . . 1,507,598 1,538,634 1,516,014 1,544,681 58,157 50,051 62,403 58,071 3.9 3.3 4.1 3.8

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,489 30,814 30,281 31,037 1,866 1,528 1,838 1,764 6.1 5.0 6.1 5.7

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,049,359 5,150,698 5,064,169 5,186,465 231,718 181,943 251,964 216,880 4.6 3.5 5.0 4.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,930 68,708 67,967 69,243 3,721 2,900 4,002 3,571 5.5 4.2 5.9 5.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 100,704 103,535 102,039 104,235 4,261 3,317 5,009 4,292 4.2 3.2 4.9 4.1

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,026,711 3,092,735 3,034,805 3,115,152 134,443 106,007 145,235 124,786 4.4 3.4 4.8 4.0

Augusta-Richmond County. . . . . . . . . . . . . 264,290 270,897 265,230 272,737 12,313 9,728 13,687 11,853 4.7 3.6 5.2 4.3

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,544 54,175 54,077 54,860 2,433 1,843 2,608 2,214 4.5 3.4 4.8 4.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,395 126,292 124,422 127,302 6,508 5,531 7,124 6,554 5.2 4.4 5.7 5.1

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,885 61,749 60,970 62,585 3,147 2,523 3,366 2,979 5.2 4.1 5.5 4.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 99,911 103,909 100,279 104,860 3,784 2,871 4,188 3,614 3.8 2.8 4.2 3.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,551 34,114 33,137 34,448 1,645 1,318 1,736 1,530 4.9 3.9 5.2 4.4

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,258 106,306 105,936 107,336 5,235 4,109 5,612 4,827 5.0 3.9 5.3 4.5

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,946 44,768 44,122 45,236 2,199 1,634 2,390 2,062 5.0 3.6 5.4 4.6

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,255 188,780 186,698 189,264 7,911 6,187 8,700 7,494 4.2 3.3 4.7 4.0

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,845 66,120 64,984 66,468 2,855 2,415 3,264 2,926 4.4 3.7 5.0 4.4

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,829 86,527 84,711 87,197 4,041 3,117 4,308 3,745 4.8 3.6 5.1 4.3

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685,360 687,101 688,732 690,720 16,218 13,452 20,077 18,960 2.4 2.0 2.9 2.7

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 86,401 86,612 87,832 87,893 2,219 1,710 2,706 2,396 2.6 2.0 3.1 2.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 470,804 472,396 470,933 473,568 10,509 8,886 13,024 12,334 2.2 1.9 2.8 2.6

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 830,137 853,366 842,216 862,866 23,117 21,528 24,444 22,756 2.8 2.5 2.9 2.6

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 343,073 354,841 347,072 358,487 9,347 8,561 10,255 9,388 2.7 2.4 3.0 2.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 75,309 77,748 77,160 78,916 2,370 2,286 2,473 2,314 3.1 2.9 3.2 2.9

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,960 69,224 69,076 70,187 1,564 1,524 1,676 1,554 2.3 2.2 2.4 2.2

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,459 32,213 31,733 32,558 913 922 935 992 2.9 2.9 2.9 3.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,001 43,126 41,383 42,421 1,109 1,044 1,194 1,071 2.6 2.4 2.9 2.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,460,273 6,468,648 6,561,649 6,559,734 283,455 228,303 332,530 294,744 4.4 3.5 5.1 4.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 95,814 98,234 94,394 96,778 3,501 3,278 3,988 4,214 3.7 3.3 4.2 4.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 58,400 59,157 57,228 57,969 2,512 2,472 2,853 2,982 4.3 4.2 5.0 5.1

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 119,455 123,347 115,971 119,754 4,508 4,478 5,170 5,568 3.8 3.6 4.5 4.6

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,887,412 4,854,081 4,982,453 4,951,919 213,177 164,413 255,348 215,626 4.4 3.4 5.1 4.4

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,932 34,365 34,019 34,317 1,932 1,771 2,155 2,058 5.7 5.2 6.3 6.0

Davenport-Moline-Rock Island1. . . . . . . . . 188,110 192,017 191,046 194,418 7,497 6,668 8,209 7,775 4.0 3.5 4.3 4.0

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,741 49,879 49,258 50,840 2,308 2,273 2,718 2,894 4.7 4.6 5.5 5.7

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,943 58,225 55,609 58,486 2,548 2,468 2,772 2,845 4.6 4.2 5.0 4.9

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,133 180,168 178,900 180,476 8,570 7,638 9,286 9,058 4.8 4.2 5.2 5.0

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,000 166,619 165,109 168,185 9,536 7,279 9,024 8,735 5.8 4.4 5.5 5.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,272 110,722 110,935 111,778 3,983 3,734 4,517 4,736 3.6 3.4 4.1 4.2

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,331,502 3,404,582 3,363,853 3,434,626 106,122 109,296 117,535 125,283 3.2 3.2 3.5 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,720 72,674 75,690 72,861 2,568 2,807 2,955 3,254 3.4 3.9 3.9 4.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,524 45,903 45,242 46,318 1,122 1,163 1,230 1,309 2.5 2.5 2.7 2.8

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 111,281 118,229 113,943 120,650 2,648 2,814 2,968 3,254 2.4 2.4 2.6 2.7

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,072 165,004 161,651 167,652 5,205 5,047 5,726 5,856 3.3 3.1 3.5 3.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 213,030 218,540 214,877 220,378 6,242 6,496 6,853 7,342 2.9 3.0 3.2 3.3

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,042,731 1,071,310 1,056,753 1,084,029 31,797 32,575 34,602 37,253 3.0 3.0 3.3 3.4

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,880 39,563 39,416 40,274 1,255 1,274 2,151 1,629 3.3 3.2 5.5 4.0

Lafayette-West Lafayette. . . . . . . . . . . . . . 105,652 113,160 105,885 110,987 3,152 3,441 3,628 3,945 3.0 3.0 3.4 3.6

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,898 48,405 48,388 48,413 1,879 1,913 2,024 2,123 3.9 4.0 4.2 4.4

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,450 55,385 54,621 56,080 2,063 2,063 2,292 2,382 3.8 3.7 4.2 4.2

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,935 163,057 158,879 161,103 5,311 5,487 5,832 6,223 3.3 3.4 3.7 3.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,992 77,652 76,795 78,052 2,935 3,091 3,172 3,701 3.8 4.0 4.1 4.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,675,398 1,676,016 1,694,169 1,706,228 48,400 37,011 54,020 43,187 2.9 2.2 3.2 2.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,619 57,610 54,197 55,673 1,074 860 1,421 1,119 1.9 1.5 2.6 2.0

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 141,060 141,887 144,319 144,960 4,526 3,468 4,913 3,984 3.2 2.4 3.4 2.7

Des Moines-West Des Moines. . . . . . . . . 345,378 351,630 350,892 362,158 9,677 7,505 10,739 8,762 2.8 2.1 3.1 2.4

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,546 54,194 54,455 54,744 1,435 1,118 1,584 1,266 2.6 2.1 2.9 2.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,208 96,520 96,382 97,431 2,315 1,771 2,802 2,127 2.4 1.8 2.9 2.2

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,274 90,546 91,433 92,276 2,631 2,098 3,068 2,458 2.9 2.3 3.4 2.7

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 88,249 87,578 88,003 87,744 2,916 2,068 3,222 2,429 3.3 2.4 3.7 2.8

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,469,649 1,471,523 1,493,738 1,497,901 52,027 47,655 57,904 54,342 3.5 3.2 3.9 3.6

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,356 65,025 63,813 62,556 2,077 1,881 2,303 2,218 3.2 2.9 3.6 3.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,424 46,775 46,271 45,297 1,444 1,281 1,601 1,512 3.0 2.7 3.5 3.3

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,169 117,358 121,164 120,197 4,227 3,901 4,668 4,425 3.5 3.3 3.9 3.7

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,785 307,406 310,796 310,601 12,454 11,108 13,713 12,577 4.1 3.6 4.4 4.0

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,061,615 2,076,235 2,084,973 2,098,570 102,602 87,381 113,516 104,234 5.0 4.2 5.4 5.0

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,123 84,756 83,763 85,242 3,399 2,996 4,081 3,852 4.1 3.5 4.9 4.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 66,900 67,314 68,069 68,482 3,193 2,763 3,568 3,306 4.8 4.1 5.2 4.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 271,836 274,520 274,431 277,613 10,511 9,087 11,978 11,268 3.9 3.3 4.4 4.1

Louisville/Jefferson County. . . . . . . . . . . . . 658,865 669,059 670,300 675,457 27,557 26,595 30,201 29,032 4.2 4.0 4.5 4.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,129 56,608 56,627 57,116 2,548 2,201 2,881 2,648 4.5 3.9 5.1 4.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,106,872 2,130,459 2,135,588 2,155,532 107,667 100,224 124,813 130,733 5.1 4.7 5.8 6.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,068 64,460 65,316 65,619 3,740 3,302 4,295 4,272 5.8 5.1 6.6 6.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 415,586 422,208 419,950 430,692 18,402 17,726 21,886 23,429 4.4 4.2 5.2 5.4

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,826 55,713 55,706 56,498 3,114 2,811 3,750 3,830 5.7 5.0 6.7 6.8

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 88,938 89,030 90,166 89,800 4,920 4,319 5,399 5,490 5.5 4.9 6.0 6.1

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,962 214,034 216,922 216,030 12,144 10,405 13,519 13,220 5.7 4.9 6.2 6.1

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 111,769 115,939 114,687 117,464 4,383 4,254 5,033 5,508 3.9 3.7 4.4 4.7

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,793 80,603 80,774 81,580 4,267 4,052 4,767 5,099 5.3 5.0 5.9 6.3

New Orleans-Metairie. . . . . . . . . . . . . . . . . 596,145 605,833 601,695 609,077 27,871 26,680 33,007 35,048 4.7 4.4 5.5 5.8

Shreveport-Bossier City. . . . . . . . . . . . . . . 186,541 188,607 190,069 191,370 10,428 9,692 11,955 12,476 5.6 5.1 6.3 6.5

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 697,339 703,583 712,435 717,872 24,007 21,316 23,820 22,954 3.4 3.0 3.3 3.2

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,737 70,317 71,015 70,837 2,512 2,137 2,553 2,365 3.6 3.0 3.6 3.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,053 56,424 56,366 56,801 1,785 1,600 1,856 1,827 3.2 2.8 3.3 3.2

Portland-South Portland. . . . . . . . . . . . . . . 207,413 210,447 212,470 215,191 5,588 5,133 5,948 5,871 2.7 2.4 2.8 2.7

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,209,731 3,217,883 3,248,859 3,263,653 125,682 125,014 140,659 146,267 3.9 3.9 4.3 4.5

Baltimore-Columbia-Towson. . . . . . . . . . . 1,496,648 1,508,019 1,513,278 1,526,619 60,621 59,580 68,171 69,756 4.1 4.0 4.5 4.6

California-Lexington Park. . . . . . . . . . . . . . 55,048 55,160 56,046 56,108 2,013 2,067 2,514 2,498 3.7 3.7 4.5 4.5

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,291 44,796 44,271 44,906 2,231 2,337 2,580 2,725 5.0 5.2 5.8 6.1

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 129,806 130,367 132,315 133,709 5,037 5,512 5,707 6,100 3.9 4.2 4.3 4.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,642,292 3,789,505 3,702,764 3,857,877 135,023 126,872 148,385 150,148 3.7 3.3 4.0 3.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 122,797 128,571 133,560 138,130 5,068 4,853 5,150 5,268 4.1 3.8 3.9 3.8

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,688,443 2,794,907 2,725,871 2,841,408 91,510 85,738 101,192 101,766 3.4 3.1 3.7 3.6

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 77,682 80,872 78,455 81,502 3,314 3,082 3,533 3,626 4.3 3.8 4.5 4.4

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 84,269 86,807 85,353 88,319 4,393 4,271 4,780 4,853 5.2 4.9 5.6 5.5

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,930 43,790 44,536 45,868 1,900 1,832 1,960 1,969 4.4 4.2 4.4 4.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 368,883 379,804 371,543 382,942 16,318 15,579 18,356 18,531 4.4 4.1 4.9 4.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 351,768 364,469 354,641 367,569 13,871 13,121 15,069 15,246 3.9 3.6 4.2 4.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,865,026 4,926,166 4,916,534 4,952,111 187,178 187,147 219,021 213,639 3.8 3.8 4.5 4.3

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 191,523 194,936 192,969 197,417 6,289 5,985 7,480 6,991 3.3 3.1 3.9 3.5

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,925 64,022 64,447 64,439 2,862 2,605 3,296 2,884 4.5 4.1 5.1 4.5

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,691 50,919 51,448 51,571 2,651 2,389 2,874 2,611 5.2 4.7 5.6 5.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,092,693 2,117,369 2,110,396 2,127,557 70,630 77,821 86,053 92,883 3.4 3.7 4.1 4.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,667 184,776 186,516 186,619 9,261 8,679 10,499 9,512 5.0 4.7 5.6 5.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 572,773 586,559 579,560 588,293 18,013 17,060 21,069 19,455 3.1 2.9 3.6 3.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,489 75,421 74,811 75,272 3,100 2,906 3,605 3,335 4.2 3.9 4.8 4.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 166,929 169,029 168,399 169,827 6,727 6,125 7,603 6,950 4.0 3.6 4.5 4.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . 251,512 254,376 247,117 247,596 9,296 8,521 12,063 9,716 3.7 3.3 4.9 3.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,665 40,866 41,154 41,212 1,739 1,576 1,889 1,744 4.3 3.9 4.6 4.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,345 77,355 77,227 77,984 3,302 3,085 3,782 3,427 4.3 4.0 4.9 4.4

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 78,454 78,647 80,297 79,769 3,788 3,560 4,212 4,087 4.8 4.5 5.2 5.1

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 74,426 74,420 76,226 75,210 3,241 3,122 3,696 3,544 4.4 4.2 4.8 4.7

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,012 87,628 88,488 88,940 4,339 4,028 4,801 4,422 5.0 4.6 5.4 5.0

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,057,119 3,109,192 3,083,747 3,132,913 94,737 77,317 106,407 91,369 3.1 2.5 3.5 2.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,950 145,223 144,123 145,377 6,147 5,047 6,722 5,599 4.3 3.5 4.7 3.9

Mankato-North Mankato. . . . . . . . . . . . . . . 60,605 62,224 59,807 62,297 1,593 1,282 1,848 1,618 2.6 2.1 3.1 2.6

Minneapolis-St. Paul-Bloomington. . . . . . 1,984,759 2,015,686 2,002,779 2,036,572 58,726 46,845 66,988 57,166 3.0 2.3 3.3 2.8

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,186 121,378 123,227 123,810 3,197 2,567 3,598 3,169 2.6 2.1 2.9 2.6

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,286 114,539 111,767 113,489 3,422 2,853 3,766 3,270 3.0 2.5 3.4 2.9

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,285,731 1,293,385 1,295,654 1,303,469 69,030 65,814 78,429 74,715 5.4 5.1 6.1 5.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 165,238 165,368 167,779 167,257 9,083 8,691 9,989 9,695 5.5 5.3 6.0 5.8

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,244 69,528 68,721 69,466 3,339 3,164 3,751 3,474 4.9 4.6 5.5 5.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,810 275,965 274,445 280,082 12,758 12,329 14,488 13,877 4.7 4.5 5.3 5.0

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,059,214 3,076,402 3,083,797 3,112,524 111,943 101,737 116,807 108,940 3.7 3.3 3.8 3.5

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,613 48,476 48,119 49,033 1,814 1,483 1,939 1,705 3.8 3.1 4.0 3.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,544 98,439 95,460 96,066 2,549 2,254 2,758 2,455 2.6 2.3 2.9 2.6

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 75,600 74,996 75,275 74,989 2,267 1,971 2,565 2,160 3.0 2.6 3.4 2.9

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,572 84,624 84,982 85,150 2,970 2,388 3,213 2,719 3.5 2.8 3.8 3.2

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,121,041 1,137,183 1,137,710 1,161,202 40,042 40,903 42,735 40,443 3.6 3.6 3.8 3.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,473 65,870 65,912 66,449 2,285 1,916 2,345 2,079 3.5 2.9 3.6 3.1

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,458,154 1,473,759 1,473,265 1,494,682 53,013 47,900 56,470 54,711 3.6 3.3 3.8 3.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 229,243 230,607 230,021 231,177 7,453 6,320 7,649 6,924 3.3 2.7 3.3 3.0

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 525,675 521,275 533,305 529,245 18,368 15,516 21,186 18,667 3.5 3.0 4.0 3.5

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,682 87,032 87,997 87,972 2,529 2,190 3,307 2,978 2.9 2.5 3.8 3.4

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,844 37,722 38,286 38,061 1,189 1,028 1,482 1,309 3.1 2.7 3.9 3.4

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,407 62,438 62,883 62,520 1,905 1,585 2,230 1,921 3.1 2.5 3.5 3.1

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,010,223 1,016,726 1,019,112 1,026,131 28,038 28,268 31,769 31,546 2.8 2.8 3.1 3.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,288 43,844 44,163 44,279 1,224 1,262 1,331 1,357 2.8 2.9 3.0 3.1

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,392 180,245 176,003 180,157 4,555 4,668 5,153 5,229 2.6 2.6 2.9 2.9

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 476,975 485,199 479,787 490,146 13,807 13,681 15,585 15,120 2.9 2.8 3.2 3.1

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,458,009 1,496,135 1,464,510 1,499,411 72,036 62,701 76,933 66,737 4.9 4.2 5.3 4.5

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,596 26,360 25,769 26,504 1,256 1,115 1,224 1,134 4.9 4.2 4.7 4.3

Las Vegas-Henderson-Paradise. . . . . . . . 1,066,716 1,097,559 1,069,843 1,097,500 54,970 48,423 59,344 51,780 5.2 4.4 5.5 4.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240,467 248,338 241,275 249,083 9,922 8,292 10,317 8,686 4.1 3.3 4.3 3.5

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 742,475 755,073 754,737 769,537 18,892 19,574 19,852 20,122 2.5 2.6 2.6 2.6

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 84,802 86,678 83,831 86,335 1,952 2,034 2,062 2,140 2.3 2.3 2.5 2.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,882 118,180 118,287 120,082 2,977 2,925 3,178 3,037 2.5 2.5 2.7 2.5

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 75,742 77,501 77,735 79,454 1,727 1,785 1,832 1,908 2.3 2.3 2.4 2.4

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,514,399 4,441,929 4,567,931 4,530,094 198,466 163,994 210,912 195,918 4.4 3.7 4.6 4.3

Atlantic City-Hammonton. . . . . . . . . . . . . . 120,553 118,088 122,486 120,859 8,111 6,210 8,523 7,068 6.7 5.3 7.0 5.8

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 46,300 47,629 54,774 55,008 3,573 3,053 3,469 3,118 7.7 6.4 6.3 5.7

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,115 197,943 200,326 201,339 7,647 6,390 8,238 7,808 3.9 3.2 4.1 3.9

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,419 65,649 66,409 65,759 4,111 3,577 4,445 4,167 6.2 5.4 6.7 6.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 921,490 932,224 932,737 946,138 53,839 37,903 63,038 48,732 5.8 4.1 6.8 5.2

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 421,178 428,129 426,134 433,450 22,762 16,346 26,860 21,271 5.4 3.8 6.3 4.9

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,205 53,136 53,475 54,033 3,572 2,349 4,163 3,063 6.7 4.4 7.8 5.7

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 94,059 93,907 94,054 93,727 6,239 4,604 7,128 5,631 6.6 4.9 7.6 6.0

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,997 73,488 73,136 75,367 3,458 2,499 4,081 3,187 4.8 3.4 5.6 4.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,690,531 9,628,113 9,794,282 9,804,779 428,582 356,238 453,016 410,636 4.4 3.7 4.6 4.2

Albany-Schenectady-Troy. . . . . . . . . . . . . . 451,605 447,487 458,361 457,538 18,340 16,000 19,887 17,859 4.1 3.6 4.3 3.9

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 109,959 107,684 110,495 109,178 5,584 4,725 6,038 5,253 5.1 4.4 5.5 4.8

Buffalo-Cheektowaga-Niagara Falls. . . . . 548,930 546,767 555,429 556,461 27,673 23,389 28,716 24,805 5.0 4.3 5.2 4.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,800 34,972 36,607 35,898 1,932 1,631 1,988 1,744 5.4 4.7 5.4 4.9

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 60,187 59,589 63,216 62,802 2,674 2,365 2,652 2,405 4.4 4.0 4.2 3.8

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,837 51,223 49,828 50,622 2,029 1,691 2,494 2,108 4.0 3.3 5.0 4.2

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,240 88,614 90,982 90,985 3,861 3,288 4,057 3,618 4.3 3.7 4.5 4.0

New York-Newark-Jersey City. . . . . . . . . . 10,104,601 10,006,369 10,199,124 10,178,188 431,005 353,978 457,107 422,162 4.3 3.5 4.5 4.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 524,424 522,339 530,344 532,814 24,500 21,117 25,895 22,770 4.7 4.0 4.9 4.3

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,431 303,676 310,923 310,826 14,723 12,373 15,686 13,826 4.8 4.1 5.0 4.4

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 130,077 127,112 132,735 131,227 6,319 5,472 6,528 5,855 4.9 4.3 4.9 4.5

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,475 44,856 46,811 46,460 2,728 2,223 2,569 2,227 6.0 5.0 5.5 4.8

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,940,145 5,020,059 4,953,758 5,043,226 213,136 184,690 225,938 212,051 4.3 3.7 4.6 4.2

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,596 232,735 228,949 234,345 7,901 6,855 8,361 7,938 3.5 2.9 3.7 3.4

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,661 80,532 79,409 80,335 3,247 2,844 3,557 3,373 4.1 3.5 4.5 4.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,311,955 1,342,929 1,319,016 1,348,530 53,145 45,490 56,981 52,468 4.1 3.4 4.3 3.9

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 295,640 301,064 296,041 302,589 11,175 9,829 12,085 11,494 3.8 3.3 4.1 3.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,815 148,866 147,726 149,427 8,009 7,052 8,477 8,105 5.4 4.7 5.7 5.4

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,913 53,247 53,490 53,420 2,636 2,183 2,747 2,465 4.9 4.1 5.1 4.6

Greensboro-High Point. . . . . . . . . . . . . . . . 368,985 372,670 368,473 373,567 16,936 14,515 18,022 16,720 4.6 3.9 4.9 4.5

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,189 90,323 88,981 90,323 4,366 3,816 4,653 4,454 4.9 4.2 5.2 4.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,074 175,957 174,162 175,880 6,921 5,821 7,402 6,801 4.0 3.3 4.3 3.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,554 64,812 64,458 65,011 3,023 2,625 3,200 2,960 4.7 4.1 5.0 4.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,783 51,963 52,124 52,901 2,312 1,967 2,454 2,277 4.5 3.8 4.7 4.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 694,574 714,281 698,165 718,863 26,212 22,830 28,134 26,531 3.8 3.2 4.0 3.7

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,753 64,927 65,302 64,752 4,390 3,749 4,488 4,099 6.7 5.8 6.9 6.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 146,640 148,184 147,207 148,931 5,810 5,066 6,295 5,836 4.0 3.4 4.3 3.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 324,179 329,349 324,322 331,045 13,582 11,514 14,385 13,475 4.2 3.5 4.4 4.1

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 416,201 408,165 424,286 414,033 8,908 9,004 11,630 11,950 2.1 2.2 2.7 2.9

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,473 69,078 71,277 70,161 1,428 1,598 1,883 2,009 2.0 2.3 2.6 2.9

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,783 138,777 138,934 138,592 2,714 2,885 3,339 3,670 2.0 2.1 2.4 2.6

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,234 56,357 56,660 56,638 1,342 1,291 1,781 1,753 2.4 2.3 3.1 3.1

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,776,692 5,813,804 5,836,256 5,870,522 265,194 241,166 302,370 309,467 4.6 4.1 5.2 5.3

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363,496 364,156 362,755 366,540 16,260 14,794 18,497 18,872 4.5 4.1 5.1 5.1

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 201,402 202,055 202,819 203,845 9,587 8,934 10,558 10,947 4.8 4.4 5.2 5.4

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,110,279 1,122,343 1,125,217 1,136,620 44,416 40,723 51,875 53,014 4.0 3.6 4.6 4.7

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,029,479 1,026,415 1,044,736 1,050,490 56,679 50,457 63,463 64,370 5.5 4.9 6.1 6.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,074,757 1,091,903 1,087,210 1,100,046 40,202 37,809 46,633 49,343 3.7 3.5 4.3 4.5

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386,561 390,927 390,369 391,682 16,729 15,468 19,239 20,035 4.3 4.0 4.9 5.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,935 48,742 49,453 49,537 2,223 1,980 2,513 2,515 4.5 4.1 5.1 5.1

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,156 53,408 53,856 54,376 2,607 2,315 2,944 2,934 4.9 4.3 5.5 5.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,150 64,440 64,492 64,699 2,782 2,762 3,254 3,390 4.3 4.3 5.0 5.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,087 304,721 307,167 308,168 16,527 14,212 18,579 17,410 5.4 4.7 6.0 5.6

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,971 50,753 51,568 51,391 3,171 2,929 3,505 3,442 6.2 5.8 6.8 6.7

Youngstown-Warren-Boardman. . . . . . . . 245,693 241,966 247,685 245,163 14,415 11,653 15,698 14,789 5.9 4.8 6.3 6.0

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,824,733 1,858,927 1,845,536 1,880,166 80,509 72,226 86,017 74,823 4.4 3.9 4.7 4.0

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,962 27,706 28,204 28,235 1,150 978 1,179 1,007 4.1 3.5 4.2 3.6

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,057 52,446 52,644 53,314 2,340 2,264 2,466 2,372 4.5 4.3 4.7 4.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 666,442 684,946 675,377 695,510 26,709 24,542 28,728 25,499 4.0 3.6 4.3 3.7

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,397 487,616 482,504 493,528 21,936 19,255 23,164 19,638 4.6 3.9 4.8 4.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,089,234 2,102,938 2,117,704 2,117,464 77,134 73,290 90,393 84,165 3.7 3.5 4.3 4.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,715 58,203 58,328 58,206 2,486 2,278 2,826 2,629 4.3 3.9 4.8 4.5

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 92,725 94,644 94,269 95,782 3,364 3,175 3,885 3,618 3.6 3.4 4.1 3.8

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,566 48,652 49,250 48,833 1,355 1,238 1,829 1,620 2.8 2.5 3.7 3.3

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,869 184,474 182,534 182,728 7,271 6,954 8,644 7,934 4.0 3.8 4.7 4.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,216 35,642 35,683 35,861 1,694 1,657 1,913 1,848 4.8 4.6 5.4 5.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,868 104,582 104,093 105,217 4,507 4,273 5,143 4,860 4.4 4.1 4.9 4.6

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,300,364 1,310,476 1,310,102 1,314,572 46,676 44,980 53,317 50,286 3.6 3.4 4.1 3.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,162 198,967 203,965 200,911 7,794 7,248 9,254 8,367 3.9 3.6 4.5 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,438,733 6,347,859 6,475,415 6,448,436 312,702 233,645 323,923 283,130 4.9 3.7 5.0 4.4

Allentown-Bethlehem-Easton. . . . . . . . . . . 437,008 432,886 439,251 440,510 21,296 16,826 21,739 19,795 4.9 3.9 4.9 4.5

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,661 59,614 61,488 60,750 2,889 2,072 3,123 2,772 4.8 3.5 5.1 4.6

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,411 41,474 42,881 42,249 2,012 1,591 2,090 1,993 4.6 3.8 4.9 4.7

Chambersburg-Waynesboro. . . . . . . . . . . 76,839 75,882 77,605 77,834 3,547 2,348 3,562 2,962 4.6 3.1 4.6 3.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,834 80,806 82,724 82,024 4,841 3,772 4,819 4,308 5.9 4.7 5.8 5.3

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,589 128,067 131,226 129,114 7,377 5,226 7,653 6,335 5.6 4.1 5.8 4.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,991 55,434 55,907 56,417 2,050 1,480 2,182 1,912 3.7 2.7 3.9 3.4

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 296,933 293,388 300,486 298,813 12,553 9,288 13,251 11,583 4.2 3.2 4.4 3.9

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 60,126 58,771 59,998 59,746 3,449 2,449 3,957 3,394 5.7 4.2 6.6 5.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,974 279,372 285,369 284,943 10,582 7,992 11,546 10,316 3.8 2.9 4.0 3.6

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,833 69,881 71,976 71,715 2,843 2,166 3,056 2,791 4.0 3.1 4.2 3.9

Philadelphia-Camden-Wilmington. . . . . . . 3,090,567 3,068,883 3,100,032 3,109,785 145,213 114,473 150,567 134,763 4.7 3.7 4.9 4.3

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,208,762 1,189,836 1,216,398 1,206,083 59,659 42,932 63,234 53,173 4.9 3.6 5.2 4.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,842 210,545 214,061 214,627 9,883 7,507 10,061 9,121 4.6 3.6 4.7 4.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . 277,972 275,341 278,924 279,904 15,137 11,649 15,558 13,726 5.4 4.2 5.6 4.9

State College. . . . . . . . . . . . . . . . . . . . . . . . 75,724 74,560 76,403 76,267 3,047 2,254 2,984 2,788 4.0 3.0 3.9 3.7

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,545 55,833 57,937 56,672 3,185 2,283 3,193 2,694 5.5 4.1 5.5 4.8

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 234,784 231,919 236,106 235,472 10,132 7,497 11,125 9,747 4.3 3.2 4.7 4.1

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 548,914 558,444 558,213 566,041 22,013 21,472 23,617 20,515 4.0 3.8 4.2 3.6

Providence-Warwick. . . . . . . . . . . . . . . . . . 677,845 692,746 687,855 701,265 27,553 26,758 29,518 26,640 4.1 3.9 4.3 3.8

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,313,013 2,301,963 2,342,219 2,334,600 87,929 65,304 104,015 83,764 3.8 2.8 4.4 3.6

Charleston-North Charleston. . . . . . . . . . . 378,647 374,766 382,416 383,139 12,418 9,034 14,756 11,787 3.3 2.4 3.9 3.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 403,392 396,035 406,760 399,734 14,713 11,061 17,454 14,021 3.6 2.8 4.3 3.5

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,232 94,476 96,076 95,322 4,150 3,008 4,837 3,811 4.4 3.2 5.0 4.0

Greenville-Anderson-Mauldin. . . . . . . . . . . 423,225 422,556 426,373 426,102 14,699 10,996 17,308 14,233 3.5 2.6 4.1 3.3

Hilton Head Island-Bluffton-Beaufort. . . . 87,380 87,710 89,417 89,851 3,057 2,276 3,670 3,020 3.5 2.6 4.1 3.4

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,928 199,761 206,355 208,468 8,846 7,167 9,767 8,540 4.4 3.6 4.7 4.1

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 157,031 157,058 158,868 158,677 5,695 4,143 7,011 5,527 3.6 2.6 4.4 3.5

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,846 43,408 44,372 43,960 2,118 1,493 2,481 1,923 4.8 3.4 5.6 4.4

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 455,458 458,568 462,908 466,374 14,297 13,072 14,936 13,703 3.1 2.9 3.2 2.9

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 73,646 74,978 75,547 78,012 2,449 2,261 2,462 2,249 3.3 3.0 3.3 2.9

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 148,216 150,825 149,150 151,907 3,950 3,641 3,971 3,673 2.7 2.4 2.7 2.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,183,073 3,247,144 3,223,651 3,298,160 102,832 96,347 130,786 135,823 3.2 3.0 4.1 4.1

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 264,986 273,162 270,517 279,952 9,303 8,357 11,475 11,356 3.5 3.1 4.2 4.1

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,115 113,279 112,607 113,940 4,895 4,242 5,764 5,806 4.4 3.7 5.1 5.1

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,269 57,781 57,278 58,626 1,877 1,820 2,508 2,606 3.3 3.1 4.4 4.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,831 64,692 64,185 66,471 2,256 2,149 2,781 2,920 3.6 3.3 4.3 4.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 90,285 90,475 89,688 90,255 3,216 2,936 4,074 4,098 3.6 3.2 4.5 4.5

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 138,388 139,395 138,788 140,552 5,113 4,400 6,136 5,932 3.7 3.2 4.4 4.2

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417,962 422,169 422,126 427,177 12,556 11,543 16,538 16,858 3.0 2.7 3.9 3.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 625,994 638,620 636,416 654,114 25,076 24,281 30,481 31,852 4.0 3.8 4.8 4.9

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,136 51,767 51,144 52,481 1,755 1,675 2,219 2,320 3.4 3.2 4.3 4.4

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,005,655 1,034,569 1,022,465 1,050,146 25,573 23,938 32,855 34,114 2.5 2.3 3.2 3.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,498,726 13,834,278 13,543,364 13,845,515 557,907 515,130 608,310 582,939 4.1 3.7 4.5 4.2

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,607 76,921 75,385 76,805 2,809 2,458 3,042 2,853 3.7 3.2 4.0 3.7

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,410 134,125 130,836 133,508 3,841 3,462 4,245 4,110 2.9 2.6 3.2 3.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,149,397 1,188,497 1,153,005 1,192,072 34,409 32,887 37,631 38,092 3.0 2.8 3.3 3.2

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 174,572 173,558 175,114 173,349 11,278 10,250 12,100 11,051 6.5 5.9 6.9 6.4

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 166,389 167,528 168,018 168,425 10,923 10,043 12,547 11,668 6.6 6.0 7.5 6.9

College Station-Bryan. . . . . . . . . . . . . . . . . 128,469 134,033 123,561 129,379 3,946 3,710 4,630 4,585 3.1 2.8 3.7 3.5

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 209,771 207,855 209,834 207,072 11,209 10,171 11,927 11,317 5.3 4.9 5.7 5.5

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,767,275 3,897,914 3,788,012 3,903,134 134,860 131,071 146,833 148,245 3.6 3.4 3.9 3.8

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,949 359,741 352,302 358,109 15,969 14,838 17,360 16,726 4.5 4.1 4.9 4.7

Houston-The Woodlands-Sugar Land. . . 3,314,891 3,396,897 3,327,807 3,414,202 158,355 142,509 170,505 157,250 4.8 4.2 5.1 4.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,589 178,621 175,137 178,189 7,113 6,978 7,597 7,842 4.1 3.9 4.3 4.4

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,222 115,477 114,807 115,287 4,700 4,165 5,218 4,963 4.1 3.6 4.5 4.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,775 97,150 97,453 96,687 4,844 3,915 5,197 4,370 5.0 4.0 5.3 4.5

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,311 165,186 160,818 165,017 4,850 4,650 5,951 5,947 3.0 2.8 3.7 3.6

McAllen-Edinburg-Mission. . . . . . . . . . . . . 342,672 347,469 343,771 346,276 23,983 21,514 27,325 24,983 7.0 6.2 7.9 7.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,799 99,051 91,657 98,981 2,742 2,114 2,891 2,423 3.0 2.1 3.2 2.4

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,333 80,505 77,761 80,239 3,196 2,233 3,274 2,538 4.1 2.8 4.2 3.2

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,632 55,297 54,976 55,236 2,025 1,692 2,168 1,968 3.7 3.1 3.9 3.6

San Antonio-New Braunfels. . . . . . . . . . . . 1,158,967 1,186,464 1,166,117 1,184,166 39,482 37,539 43,478 43,174 3.4 3.2 3.7 3.6

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,025 63,587 62,070 63,475 2,145 1,986 2,291 2,262 3.5 3.1 3.7 3.6

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,887 65,455 65,386 66,125 2,836 3,177 3,169 3,704 4.4 4.9 4.8 5.6

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,531 108,638 105,966 108,355 4,101 3,763 4,386 4,278 3.8 3.5 4.1 3.9

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,322 45,395 46,370 45,454 2,114 1,742 2,282 1,968 4.6 3.8 4.9 4.3

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,331 125,951 125,635 126,466 4,548 4,391 5,611 5,253 3.7 3.5 4.5 4.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,957 65,464 65,087 65,710 2,299 2,132 2,509 2,569 3.5 3.3 3.9 3.9

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,554,142 1,591,726 1,569,111 1,601,141 49,692 44,512 56,908 55,803 3.2 2.8 3.6 3.5

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,486 71,610 70,214 71,442 1,843 1,605 2,162 2,159 2.6 2.2 3.1 3.0

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 326,160 330,656 328,200 333,297 10,169 9,185 11,927 11,658 3.1 2.8 3.6 3.5

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 293,539 303,869 297,755 306,674 8,431 7,729 10,081 10,300 2.9 2.5 3.4 3.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,083 74,048 70,949 74,267 2,344 2,208 2,750 2,786 3.3 3.0 3.9 3.8

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 652,027 667,918 657,263 668,587 20,323 18,296 23,071 22,534 3.1 2.7 3.5 3.4

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342,257 347,536 349,061 353,058 9,669 9,204 10,786 10,450 2.8 2.6 3.1 3.0

Burlington-South Burlington. . . . . . . . . . . . 124,477 126,416 126,099 127,835 2,758 2,595 3,302 3,304 2.2 2.1 2.6 2.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,319,367 4,372,392 4,344,810 4,409,574 157,840 125,242 167,807 143,604 3.7 2.9 3.9 3.3

Blacksburg-Christiansburg-Radford. . . . . 90,424 90,722 88,902 88,712 3,609 2,676 4,014 3,287 4.0 2.9 4.5 3.7

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,142 123,035 119,526 124,078 3,920 3,120 4,347 3,816 3.3 2.5 3.6 3.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 64,742 65,484 64,809 65,792 2,475 1,888 2,762 2,325 3.8 2.9 4.3 3.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,672 124,083 122,437 124,891 5,115 4,112 5,817 4,938 4.2 3.3 4.8 4.0

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 677,065 686,476 681,150 689,073 25,467 20,759 27,041 23,605 3.8 3.0 4.0 3.4

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,608 158,867 157,321 159,663 5,860 4,623 6,354 5,362 3.7 2.9 4.0 3.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,173 59,955 59,345 60,560 2,128 1,668 2,237 1,892 3.6 2.8 3.8 3.1

Virginia Beach-Norfolk-Newport News. . . 851,671 856,399 859,692 867,108 34,227 26,729 36,617 30,646 4.0 3.1 4.3 3.5

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,194 73,259 71,661 73,954 2,328 2,018 2,505 2,272 3.3 2.8 3.5 3.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,702,170 3,752,549 3,736,856 3,775,141 165,916 163,904 172,147 168,579 4.5 4.4 4.6 4.5

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,338 110,497 109,489 110,770 5,190 4,991 5,500 5,186 4.7 4.5 5.0 4.7

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 120,005 121,102 121,064 121,144 5,751 5,614 5,758 5,544 4.8 4.6 4.8 4.6

Kennewick-Richland. . . . . . . . . . . . . . . . . . 137,427 138,652 145,454 145,379 7,166 7,146 7,002 7,079 5.2 5.2 4.8 4.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,694 46,044 45,796 46,100 2,666 2,661 2,641 2,659 5.8 5.8 5.8 5.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . 58,939 59,124 59,835 59,432 3,090 2,971 3,118 3,019 5.2 5.0 5.2 5.1

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 133,135 135,844 133,227 135,592 6,386 6,373 6,405 6,395 4.8 4.7 4.8 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,061,397 2,098,999 2,065,347 2,099,419 79,590 78,788 87,388 85,259 3.9 3.8 4.2 4.1

Spokane-Spokane Valley. . . . . . . . . . . . . . 261,873 260,749 263,187 259,044 13,597 13,477 13,487 13,302 5.2 5.2 5.1 5.1

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,529 31,627 31,163 32,135 1,385 1,358 1,414 1,394 4.5 4.3 4.5 4.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 62,836 63,208 68,650 69,854 3,313 3,095 2,940 2,756 5.3 4.9 4.3 3.9

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,918 127,465 132,401 134,202 7,782 7,612 6,983 6,988 6.2 6.0 5.3 5.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 776,842 788,169 789,105 794,285 35,645 40,161 41,176 42,791 4.6 5.1 5.2 5.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,063 45,932 46,012 46,327 2,272 2,503 2,591 2,631 5.0 5.4 5.6 5.7

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 94,828 95,706 97,111 97,436 4,441 4,923 5,075 5,102 4.7 5.1 5.2 5.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,277 147,320 148,638 148,286 7,820 7,672 8,880 8,875 5.3 5.2 6.0 6.0

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 67,488 69,351 65,648 68,259 2,327 2,893 2,828 3,258 3.4 4.2 4.3 4.8

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,278 38,653 39,117 39,444 1,881 2,019 2,127 2,234 4.9 5.2 5.4 5.7

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,213 65,404 65,650 65,758 3,326 3,242 3,609 3,661 5.1 5.0 5.5 5.6

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,139,778 3,169,716 3,200,865 3,228,044 95,809 82,276 116,128 110,867 3.1 2.6 3.6 3.4

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,158 133,703 134,892 136,644 3,617 3,181 4,382 4,301 2.7 2.4 3.2 3.1

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 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

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,941 94,159 93,522 94,745 2,595 2,187 3,199 2,961 2.8 2.3 3.4 3.1

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,165 58,334 58,492 59,722 1,497 1,344 1,951 1,906 2.6 2.3 3.3 3.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 174,570 176,131 178,696 180,241 4,913 4,317 5,900 5,754 2.8 2.5 3.3 3.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,473 85,905 86,892 87,037 3,099 2,393 3,490 3,201 3.6 2.8 4.0 3.7

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 78,831 79,881 78,841 79,830 2,189 1,811 2,647 2,472 2.8 2.3 3.4 3.1

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387,067 392,605 392,812 396,669 9,365 8,082 11,129 11,075 2.4 2.1 2.8 2.8

Milwaukee-Waukesha-West Allis. . . . . . . 827,761 831,215 838,877 842,721 27,751 23,451 34,202 32,350 3.4 2.8 4.1 3.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,695 94,398 94,919 95,221 2,693 2,269 3,335 3,179 2.9 2.4 3.5 3.3

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,641 99,355 101,558 101,182 3,714 3,128 4,457 4,159 3.7 3.1 4.4 4.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,693 63,803 64,731 65,828 1,687 1,451 2,051 1,969 2.7 2.3 3.2 3.0

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,885 75,625 75,666 77,377 2,027 1,774 2,486 2,361 2.7 2.3 3.3 3.1

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,045 284,520 298,178 289,364 11,502 10,384 12,007 11,745 3.9 3.6 4.0 4.1

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,150 38,410 39,307 38,255 1,950 1,617 2,013 1,793 5.0 4.2 5.1 4.7

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,814 46,786 47,665 46,643 1,620 1,610 1,778 1,850 3.4 3.4 3.7 4.0

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,099,152 1,094,762 1,083,576 1,106,570 113,067 101,736 101,712 101,536 10.3 9.3 9.4 9.2

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 88,726 88,292 87,101 89,512 12,462 10,731 11,004 10,716 14.0 12.2 12.6 12.0

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,978 52,315 51,145 52,666 6,163 5,924 5,435 5,771 11.9 11.3 10.6 11.0

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,422 20,925 20,699 21,172 3,549 2,919 3,130 2,980 16.6 13.9 15.1 14.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,517 26,940 28,164 27,316 3,804 2,942 3,359 2,948 13.3 10.9 11.9 10.8

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,330 93,078 91,961 94,441 13,013 10,956 11,128 10,874 13.8 11.8 12.1 11.5

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,123 34,603 35,701 35,218 5,447 4,428 5,138 4,587 15.1 12.8 14.4 13.0

San Juan-Carolina-Caguas. . . . . . . . . . . . 731,724 735,674 722,675 742,995 61,629 57,837 56,344 57,799 8.4 7.9 7.8 7.8

1 For operational reasons, these interstate areas are listed under the state that accounts for the larger share of the population, which is different from the state that contains the first principal city.

2 The area boundary does not reflect the Office of Management and Budget delineation.

p Preliminary

NOTE: Data refer to place of residence. Data for Puerto Rico are derived from a monthly household survey similar to the Current Population Survey. Area delineations are based on Office of

Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan

New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first

principal city, unless otherwise footnoted. Estimates for the latest month are subject to revision the following month.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitan

division1

State, area, and division

Civilian labor force Unemployed

May June Number Percent of labor force

2017 2018 2017 2018p

May June May June

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,213,327 19,268,270 19,296,724 19,356,180 846,642 712,769 931,754 869,417 4.4 3.7 4.8 4.5

Los Angeles-Long Beach-Anaheim. . . 6,700,384 6,728,376 6,715,050 6,748,582 277,166 249,462 304,228 300,641 4.1 3.7 4.5 4.5

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,608,091 1,600,130 1,613,819 1,606,716 51,556 41,218 59,623 53,474 3.2 2.6 3.7 3.3

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,092,293 5,128,246 5,101,231 5,141,866 225,610 208,244 244,605 247,167 4.4 4.1 4.8 4.8

San Francisco-Oakland-Hayward. . . . . 2,555,405 2,555,394 2,569,554 2,564,241 78,459 60,675 89,436 77,861 3.1 2.4 3.5 3.0

Oakland-Hayward-Berkeley. . . . . . . . 1,403,179 1,402,499 1,410,970 1,408,717 48,207 37,398 54,912 47,839 3.4 2.7 3.9 3.4

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,011,559 1,012,804 1,016,623 1,015,483 26,527 20,408 30,260 26,231 2.6 2.0 3.0 2.6

San Rafael. . . . . . . . . . . . . . . . . . . . . . 140,667 140,091 141,961 140,041 3,725 2,869 4,264 3,791 2.6 2.0 3.0 2.7

District of Columbia. . . . . . . . . . . . . . . . . . . 398,908 408,402 404,318 412,386 23,115 21,065 26,479 24,531 5.8 5.2 6.5 5.9

Washington-Arlington-Alexandria2. . . . 3,387,247 3,423,291 3,416,033 3,463,540 122,253 110,331 133,569 127,913 3.6 3.2 3.9 3.7

Silver Spring-Frederick-Rockville3.. . 683,307 687,476 695,102 699,873 22,462 22,483 25,183 26,801 3.3 3.3 3.6 3.8

Washington-Arlington-Alexandria2.. . 2,703,940 2,735,815 2,720,931 2,763,667 99,791 87,848 108,386 101,112 3.7 3.2 4.0 3.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,120,621 10,270,192 10,127,782 10,289,809 408,129 345,444 438,687 398,901 4.0 3.4 4.3 3.9

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,148,984 3,173,758 3,137,923 3,174,332 133,176 112,531 140,553 124,376 4.2 3.5 4.5 3.9

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,029,243 1,043,155 1,033,144 1,047,309 39,113 33,089 41,753 38,354 3.8 3.2 4.0 3.7

Miami-Miami Beach-Kendall. . . . . . . 1,392,720 1,403,441 1,377,043 1,398,364 65,846 55,707 67,914 57,701 4.7 4.0 4.9 4.1

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 727,021 727,162 727,736 728,659 28,217 23,735 30,886 28,321 3.9 3.3 4.2 3.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,460,273 6,468,648 6,561,649 6,559,734 283,455 228,303 332,530 294,744 4.4 3.5 5.1 4.5

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,887,412 4,854,081 4,982,453 4,951,919 213,177 164,413 255,348 215,626 4.4 3.4 5.1 4.4

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,772,672 3,714,370 3,848,479 3,794,029 168,688 121,447 206,226 164,268 4.5 3.3 5.4 4.3

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 319,278 328,755 323,637 332,681 12,987 12,423 14,301 15,195 4.1 3.8 4.4 4.6

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 339,784 342,922 341,280 348,541 14,343 14,464 15,447 16,327 4.2 4.2 4.5 4.7

Lake County-Kenosha County2. . . . 455,678 468,034 469,057 476,668 17,159 16,079 19,374 19,836 3.8 3.4 4.1 4.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,642,292 3,789,505 3,702,764 3,857,877 135,023 126,872 148,385 150,148 3.7 3.3 4.0 3.9

Boston-Cambridge-Nashua2. . . . . . . . . 2,688,443 2,794,907 2,725,871 2,841,408 91,510 85,738 101,192 101,766 3.4 3.1 3.7 3.6

Boston-Cambridge-Newton. . . . . . . . 1,597,829 1,665,210 1,620,132 1,693,936 52,232 48,308 58,354 58,740 3.3 2.9 3.6 3.5

Brockton-Bridgewater-Easton. . . . . . 106,809 110,867 107,310 111,938 4,502 4,111 4,969 4,918 4.2 3.7 4.6 4.4

Framingham. . . . . . . . . . . . . . . . . . . . . 156,175 161,517 158,744 164,095 4,894 4,528 5,408 5,447 3.1 2.8 3.4 3.3

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 114,282 119,304 116,705 121,387 3,773 3,580 4,057 4,059 3.3 3.0 3.5 3.3

Lawrence-Methuen Town-Salem2.. . 96,305 100,173 97,675 101,694 4,809 4,650 5,148 5,195 5.0 4.6 5.3 5.1

Lowell-Billerica-Chelmsford2. . . . . . . 188,701 196,615 191,659 200,158 6,943 6,569 7,622 7,609 3.7 3.3 4.0 3.8

Lynn-Saugus-Marblehead. . . . . . . . . 84,060 87,679 85,294 89,343 3,079 2,861 3,393 3,436 3.7 3.3 4.0 3.8

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,471 172,334 171,895 175,618 4,801 4,989 5,109 5,112 2.8 2.9 3.0 2.9

Peabody-Salem-Beverly. . . . . . . . . . . 91,557 94,599 92,115 95,340 3,138 3,051 3,475 3,597 3.4 3.2 3.8 3.8

Taunton-Middleborough-Norton. . . . 83,254 86,609 84,342 87,899 3,339 3,091 3,657 3,653 4.0 3.6 4.3 4.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,865,026 4,926,166 4,916,534 4,952,111 187,178 187,147 219,021 213,639 3.8 3.8 4.5 4.3

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,092,693 2,117,369 2,110,396 2,127,557 70,630 77,821 86,053 92,883 3.4 3.7 4.1 4.4

Detroit-Dearborn-Livonia. . . . . . . . . . 778,231 791,508 785,411 795,583 31,639 35,972 39,184 42,880 4.1 4.5 5.0 5.4

Warren-Troy-Farmington Hills. . . . . . 1,314,464 1,325,860 1,324,986 1,331,974 38,992 41,848 46,869 50,003 3.0 3.2 3.5 3.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,690,531 9,628,113 9,794,282 9,804,779 428,582 356,238 453,016 410,636 4.4 3.7 4.6 4.2

New York-Newark-Jersey City2. . . . . . 10,104,601 10,006,369 10,199,124 10,178,188 431,005 353,978 457,107 422,162 4.3 3.5 4.5 4.1

Dutchess County-Putnam County.. . 195,938 196,187 198,692 199,631 8,010 6,996 8,702 7,792 4.1 3.6 4.4 3.9

Nassau County-Suffolk County. . . . . 1,494,724 1,488,382 1,524,456 1,528,621 60,639 52,427 64,824 57,440 4.1 3.5 4.3 3.8

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,247,278 1,217,501 1,259,714 1,241,308 54,857 45,714 58,409 55,121 4.4 3.8 4.6 4.4

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,166,661 7,104,299 7,216,262 7,208,628 307,499 248,841 325,172 301,809 4.3 3.5 4.5 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,438,733 6,347,859 6,475,415 6,448,436 312,702 233,645 323,923 283,130 4.9 3.7 5.0 4.4

Philadelphia-Camden-Wilmington2. . . . 3,090,567 3,068,883 3,100,032 3,109,785 145,213 114,473 150,567 134,763 4.7 3.7 4.9 4.3

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 640,955 636,316 645,335 646,293 28,291 23,496 30,265 28,276 4.4 3.7 4.7 4.4

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,074,461 1,061,677 1,083,578 1,079,041 42,318 31,951 42,894 37,709 3.9 3.0 4.0 3.5

Philadelphia. . . . . . . . . . . . . . . . . . . . . 998,390 986,963 994,332 998,152 57,923 45,151 58,159 52,263 5.8 4.6 5.8 5.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . 376,761 383,927 376,787 386,299 16,681 13,875 19,249 16,515 4.4 3.6 5.1 4.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,498,726 13,834,278 13,543,364 13,845,515 557,907 515,130 608,310 582,939 4.1 3.7 4.5 4.2

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,767,275 3,897,914 3,788,012 3,903,134 134,860 131,071 146,833 148,245 3.6 3.4 3.9 3.8

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,542,826 2,633,725 2,556,605 2,638,653 90,780 88,678 98,645 99,926 3.6 3.4 3.9 3.8

Fort Worth-Arlington. . . . . . . . . . . . . . 1,224,449 1,264,189 1,231,407 1,264,481 44,080 42,393 48,188 48,319 3.6 3.4 3.9 3.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,702,170 3,752,549 3,736,856 3,775,141 165,916 163,904 172,147 168,579 4.5 4.4 4.6 4.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,061,397 2,098,999 2,065,347 2,099,419 79,590 78,788 87,388 85,259 3.9 3.8 4.2 4.1

Seattle-Bellevue-Everett. . . . . . . . . . . 1,648,432 1,677,197 1,651,785 1,679,532 57,825 57,025 65,770 63,957 3.5 3.4 4.0 3.8

Tacoma-Lakewood. . . . . . . . . . . . . . . 412,965 421,802 413,562 419,887 21,765 21,763 21,618 21,302 5.3 5.2 5.2 5.1

1 These 11 areas contain all of the 38 metropolitan divisions.

2 Part of the area (or division) is in one or more adjacent states.

3 All of the division is in one or more adjacent states.

p Preliminary

NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some 

metropolitan areas lie in two or more states. They are listed under the state containing the first principal city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie 

in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, DC-VA-MD-WV, the 

metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,020.8 2,042.9 2,026.6 2,050.4 23.8 1.2

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.6 47.0 47.6 0.6 1.3

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 65.5 64.3 65.8 1.5 2.3

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530.4 539.6 532.5 539.2 6.7 1.3

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 79.6 78.4 81.7 3.3 4.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.5 55.1 54.7 55.3 0.6 1.1

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 58.8 58.2 58.4 0.2 0.3

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 57.0 56.8 57.0 0.2 0.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.5 38.2 38.6 0.4 1.0

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.3 237.4 233.6 238.8 5.2 2.2

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.4 186.8 184.3 186.1 1.8 1.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.0 178.9 179.4 179.3 -0.1 -0.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.1 109.9 106.9 109.3 2.4 2.2

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335.3 332.0 349.1 346.6 -2.5 -0.7

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.2 178.8 182.6 182.9 0.3 0.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 38.7 38.5 38.3 -0.2 -0.5

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,766.6 2,839.1 2,723.5 2,794.2 70.7 2.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 69.1 66.8 67.8 1.0 1.5

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.7 49.5 51.5 2.0 4.0

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,025.6 2,087.7 1,999.2 2,060.6 61.4 3.1

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 65.4 63.5 65.0 1.5 2.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.0 33.3 33.4 33.1 -0.3 -0.9

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378.1 383.8 367.4 375.1 7.7 2.1

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.3 52.6 53.1 0.5 1.0

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,247.1 1,255.6 1,240.5 1,250.7 10.2 0.8

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.8 262.4 252.0 258.2 6.2 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.6 112.7 112.7 112.9 0.2 0.2

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.2 38.5 38.5 38.5 0.0 0.0

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.7 56.9 58.4 1.5 2.6

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.0 363.5 358.6 363.4 4.8 1.3

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 33.0 32.6 32.6 0.0 0.0

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,821.3 17,137.1 16,865.0 17,165.3 300.3 1.8

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.2 261.4 258.2 263.3 5.1 2.0

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.7 84.6 81.3 83.9 2.6 3.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 54.4 53.5 54.6 1.1 2.1

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345.4 355.4 346.2 356.5 10.3 3.0

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 40.1 39.8 40.0 0.2 0.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,049.6 6,125.8 6,049.2 6,132.6 83.4 1.4

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 39.1 38.0 38.9 0.9 2.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 69.4 67.5 69.9 2.4 3.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.3 177.9 174.4 177.8 3.4 1.9

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.6 73.1 73.3 73.4 0.1 0.1

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.5 309.9 305.5 310.4 4.9 1.6

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.6 67.6 67.4 68.3 0.9 1.3

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,447.2 1,495.0 1,445.8 1,491.6 45.8 3.2

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 966.6 985.1 971.3 986.6 15.3 1.6

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.6 143.0 138.9 143.6 4.7 3.4

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,453.3 1,484.0 1,460.7 1,483.2 22.5 1.5

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,393.9 2,435.8 2,404.9 2,439.7 34.8 1.4

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,093.0 1,129.4 1,103.0 1,137.1 34.1 3.1

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 118.9 120.8 119.5 121.6 2.1 1.8

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.5 106.8 105.5 108.5 3.0 2.8

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.2 186.6 183.6 186.2 2.6 1.4

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.0 211.0 207.1 211.4 4.3 2.1

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.6 242.0 233.9 241.2 7.3 3.1

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.5 140.5 139.4 139.4 0.0 0.0

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.6 129.0 125.6 129.2 3.6 2.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.9 44.2 44.2 44.5 0.3 0.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,645.7 2,721.6 2,676.7 2,751.5 74.8 2.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.0 194.5 187.4 191.3 3.9 2.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.3 297.8 289.3 300.2 10.9 3.8

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,460.2 1,499.7 1,475.4 1,517.9 42.5 2.9

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.1 172.3 165.9 171.9 6.0 3.6

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 64.6 62.8 64.2 1.4 2.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 109.0 103.8 108.4 4.6 4.4

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.0 62.7 63.4 0.7 1.1

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,692.7 1,704.0 1,706.8 1,722.7 15.9 0.9

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.8 408.9 415.8 418.0 2.2 0.5

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 79.7 79.4 80.4 1.0 1.3

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 574.0 580.2 578.1 586.0 7.9 1.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.7 288.0 288.9 290.6 1.7 0.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.8 132.0 133.6 134.7 1.1 0.8

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 67.2 68.2 67.5 -0.7 -1.0

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 456.7 464.3 460.7 467.5 6.8 1.5

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 70.9 69.6 70.6 1.0 1.4

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.9 162.4 171.4 167.7 -3.7 -2.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.6 795.1 786.4 793.6 7.2 0.9

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,286.9 3,325.5 3,300.3 3,351.8 51.5 1.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,598.0 8,782.3 8,497.2 8,682.2 185.0 2.2

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.0 265.5 259.2 261.8 2.6 1.0

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.6 119.9 116.1 121.3 5.2 4.5

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.4 205.2 199.1 203.4 4.3 2.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.7 142.9 138.0 139.9 1.9 1.4

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.6 33.1 33.8 0.7 2.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 691.1 712.1 685.8 707.1 21.3 3.1

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.6 226.3 218.2 224.2 6.0 2.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,645.8 2,669.3 2,613.8 2,647.9 34.1 1.3

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.7 144.4 142.5 140.8 -1.7 -1.2

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.4 308.0 296.9 304.1 7.2 2.4

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.6 104.7 101.8 103.8 2.0 2.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,246.9 1,289.3 1,238.5 1,282.6 44.1 3.6

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.4 218.2 214.2 216.0 1.8 0.8

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.0 87.7 86.0 88.4 2.4 2.8

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.4 180.6 177.2 178.9 1.7 1.0

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.9 148.9 144.1 146.4 2.3 1.6

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.2 49.0 47.4 48.2 0.8 1.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 52.2 51.0 51.8 0.8 1.6

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.3 25.7 25.0 24.7 -0.3 -1.2

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.2 182.3 175.9 179.9 4.0 2.3

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,321.6 1,351.7 1,312.0 1,340.9 28.9 2.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 28.7 27.8 28.5 0.7 2.5

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,454.6 4,538.5 4,461.0 4,541.9 80.9 1.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.2 62.4 63.0 0.6 1.0

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.7 99.2 97.6 99.0 1.4 1.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,723.5 2,771.4 2,731.3 2,780.3 49.0 1.8

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.1 242.3 234.8 241.9 7.1 3.0

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 44.7 44.9 45.2 0.3 0.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.0 122.6 120.9 122.5 1.6 1.3

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.3 68.0 67.4 68.5 1.1 1.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.5 93.5 89.7 93.7 4.0 4.5

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.4 20.6 19.9 20.8 0.9 4.5

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 103.5 103.4 104.0 0.6 0.6

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.8 41.6 41.0 41.6 0.6 1.5

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.7 181.1 180.0 180.9 0.9 0.5

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.3 56.9 56.1 56.7 0.6 1.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.8 75.2 73.4 75.2 1.8 2.5

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654.0 666.0 651.5 662.9 11.4 1.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.3 77.7 76.8 78.3 1.5 2.0

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478.2 486.5 475.2 483.6 8.4 1.8

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 717.7 739.0 725.9 747.9 22.0 3.0

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.6 327.7 317.8 330.0 12.2 3.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 66.5 65.5 67.8 2.3 3.5

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.0 67.0 67.0 68.2 1.2 1.8

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.9 29.9 29.3 30.2 0.9 3.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.2 38.0 36.4 37.5 1.1 3.0

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,085.2 6,138.0 6,122.2 6,183.9 61.7 1.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.5 94.8 92.1 93.0 0.9 1.0

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 56.5 55.3 55.1 -0.2 -0.4

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.6 112.7 106.5 108.7 2.2 2.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,714.9 4,750.8 4,757.4 4,803.9 46.5 1.0

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.6 28.2 28.4 28.2 -0.2 -0.7

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.3 187.5 186.7 188.8 2.1 1.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.3 51.6 51.4 52.3 0.9 1.8

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 48.6 46.4 48.8 2.4 5.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.5 174.1 175.0 174.4 -0.6 -0.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.5 152.3 152.7 153.5 0.8 0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.3 113.4 115.4 114.0 -1.4 -1.2

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,122.3 3,146.8 3,114.1 3,134.6 20.5 0.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.1 70.5 74.0 69.8 -4.2 -5.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 54.2 53.2 54.1 0.9 1.7

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.2 145.2 139.0 146.2 7.2 5.2

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.9 164.0 159.4 164.2 4.8 3.0

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.0 227.1 222.0 226.0 4.0 1.8

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,064.5 1,084.8 1,064.0 1,081.5 17.5 1.6

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 43.6 42.2 43.5 1.3 3.1

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.5 106.2 98.2 102.7 4.5 4.6

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 42.1 41.9 41.3 -0.6 -1.4

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.4 51.1 52.1 1.0 2.0

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.1 145.8 141.2 140.8 -0.4 -0.3

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.5 71.3 70.2 70.5 0.3 0.4

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,585.0 1,601.4 1,588.0 1,609.3 21.3 1.3

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 54.2 49.1 50.7 1.6 3.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.3 145.9 146.4 147.2 0.8 0.5

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367.3 376.0 369.5 382.3 12.8 3.5

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 60.6 60.1 60.4 0.3 0.5

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.5 102.3 100.1 101.6 1.5 1.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.7 88.7 88.0 89.2 1.2 1.4

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.2 91.5 90.1 90.2 0.1 0.1

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,406.1 1,432.7 1,399.6 1,430.5 30.9 2.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 53.7 50.8 49.7 -1.1 -2.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 42.4 40.6 40.0 -0.6 -1.5

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 111.1 111.8 112.0 0.2 0.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.1 300.6 294.9 297.9 3.0 1.0

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,928.0 1,941.8 1,931.1 1,938.2 7.1 0.4

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.2 78.6 76.6 77.9 1.3 1.7

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.2 57.3 57.7 0.4 0.7

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.4 281.9 278.0 281.7 3.7 1.3

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667.2 673.0 671.2 673.4 2.2 0.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 55.1 54.1 54.9 0.8 1.5

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,981.3 2,000.7 1,973.9 1,995.1 21.2 1.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 62.3 61.9 62.4 0.5 0.8

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.3 411.6 405.6 414.4 8.8 2.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.9 45.9 46.8 0.9 2.0

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 86.3 85.9 85.9 0.0 0.0

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.6 202.4 202.0 201.6 -0.4 -0.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.2 119.7 117.7 119.8 2.1 1.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 79.0 78.4 78.9 0.5 0.6

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581.4 586.0 575.9 580.2 4.3 0.7

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.5 180.8 180.1 180.7 0.6 0.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623.8 631.5 640.1 647.1 7.0 1.1

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 66.1 66.8 66.5 -0.3 -0.4

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 51.0 51.2 51.4 0.2 0.4

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.9 210.4 213.7 215.6 1.9 0.9

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,741.4 2,756.6 2,753.6 2,769.0 15.4 0.6

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,404.1 1,428.6 1,407.8 1,429.3 21.5 1.5

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.6 45.4 46.0 0.6 1.3

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 40.0 38.9 39.5 0.6 1.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2 106.0 106.0 107.3 1.3 1.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,620.6 3,670.7 3,665.1 3,735.6 70.5 1.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.0 108.9 117.1 117.8 0.7 0.6

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.5 2,787.5 2,771.4 2,824.8 53.4 1.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.9 53.4 53.8 0.4 0.7

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.3 68.7 68.7 69.5 0.8 1.2

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.8 43.4 44.1 0.7 1.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337.0 341.0 337.2 341.7 4.5 1.3

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.0 294.0 288.8 294.6 5.8 2.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,402.2 4,455.4 4,429.0 4,489.9 60.9 1.4

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.6 220.5 216.7 222.9 6.2 2.9

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 58.9 59.0 59.3 0.3 0.5

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.3 35.4 35.7 35.8 0.1 0.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,019.4 2,034.3 2,034.6 2,051.4 16.8 0.8

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.3 142.7 143.0 143.5 0.5 0.3

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557.4 569.1 559.8 570.0 10.2 1.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.1 58.5 58.8 0.3 0.5

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.7 149.4 147.8 149.9 2.1 1.4

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.0 241.0 230.9 233.2 2.3 1.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 37.8 37.9 38.0 0.1 0.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 42.9 42.6 43.3 0.7 1.6

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 65.0 66.9 65.8 -1.1 -1.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.0 64.8 64.1 -0.7 -1.1

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 87.9 88.5 89.1 0.6 0.7

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,944.6 2,972.7 2,969.8 3,015.5 45.7 1.5

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.6 138.8 137.3 139.2 1.9 1.4

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 59.0 56.8 59.4 2.6 4.6

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,994.8 2,023.7 2,009.0 2,049.5 40.5 2.0

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.3 119.5 122.7 122.9 0.2 0.2

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 112.3 110.0 111.9 1.9 1.7

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,154.5 1,168.7 1,147.7 1,167.5 19.8 1.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.6 155.6 156.2 155.7 -0.5 -0.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 65.7 63.9 64.9 1.0 1.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.1 284.7 279.1 285.9 6.8 2.4

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,888.3 2,919.6 2,897.4 2,931.5 34.1 1.2

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 45.5 44.5 45.6 1.1 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.1 101.1 96.7 97.6 0.9 0.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 78.0 77.4 77.5 0.1 0.1

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.2 81.6 80.8 81.5 0.7 0.9

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.8 1,102.4 1,088.3 1,116.7 28.4 2.6

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 65.5 64.8 65.5 0.7 1.1

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,387.7 1,399.0 1,392.6 1,406.9 14.3 1.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.7 215.6 212.6 213.9 1.3 0.6

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.3 480.2 481.6 486.6 5.0 1.0

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.6 86.4 86.0 86.9 0.9 1.0

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 36.4 36.4 36.6 0.2 0.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 62.7 62.1 62.6 0.5 0.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026.7 1,039.4 1,026.0 1,041.4 15.4 1.5

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 43.0 43.1 43.1 0.0 0.0

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.6 191.3 187.2 189.8 2.6 1.4

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503.2 509.4 504.1 510.6 6.5 1.3

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,342.8 1,381.5 1,342.3 1,381.2 38.9 2.9

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.3 31.2 30.3 31.3 1.0 3.3

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 977.8 1,005.9 974.1 1,002.9 28.8 3.0

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.5 239.4 231.2 239.8 8.6 3.7

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675.7 688.5 684.0 698.2 14.2 2.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 56.1 52.9 54.2 1.3 2.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 113.5 113.8 114.7 0.9 0.8

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.5 94.9 96.4 97.5 1.1 1.1

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,152.0 4,207.6 4,219.8 4,270.9 51.1 1.2

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.0 130.6 131.4 133.2 1.8 1.4

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 46.4 54.4 56.0 1.6 2.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267.7 275.0 270.8 277.4 6.6 2.4

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 60.0 59.8 60.4 0.6 1.0

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 832.8 843.2 825.6 842.9 17.3 2.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.7 394.8 389.5 394.7 5.2 1.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 49.6 48.9 49.5 0.6 1.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.6 70.9 69.7 68.8 -0.9 -1.3

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 63.8 63.7 64.9 1.2 1.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554.1 9,669.0 9,606.7 9,739.7 133.0 1.4

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.2 473.7 472.3 475.7 3.4 0.7

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 105.6 105.2 104.9 -0.3 -0.3

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565.4 574.5 567.2 575.2 8.0 1.4

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 36.7 37.4 37.0 -0.4 -1.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.6 59.3 59.4 0.1 0.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 67.3 62.5 64.5 2.0 3.2

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.9 63.6 63.6 64.5 0.9 1.4

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,710.1 9,833.1 9,789.8 9,907.2 117.4 1.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 537.9 546.0 538.0 546.8 8.8 1.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.7 320.9 319.0 322.2 3.2 1.0

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.2 127.6 130.0 129.6 -0.4 -0.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 43.0 43.8 44.1 0.3 0.7

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,436.0 4,534.1 4,437.3 4,541.7 104.4 2.4

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.5 194.6 190.7 195.3 4.6 2.4

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 62.0 60.9 61.3 0.4 0.7

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,182.9 1,215.7 1,184.9 1,216.1 31.2 2.6

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.0 317.5 311.6 318.0 6.4 2.1

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.7 131.7 130.2 131.8 1.6 1.2

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 41.9 42.3 41.9 -0.4 -0.9

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.1 364.9 358.9 364.1 5.2 1.4

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 81.0 79.5 80.6 1.1 1.4

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.6 156.1 154.1 155.6 1.5 1.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 49.9 49.7 50.0 0.3 0.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.2 45.4 45.9 0.5 1.1

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615.8 634.8 618.0 637.6 19.6 3.2

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.3 55.6 56.0 55.2 -0.8 -1.4

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.5 128.5 127.1 128.6 1.5 1.2

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.8 268.7 263.3 269.2 5.9 2.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436.6 434.8 437.1 437.4 0.3 0.1

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.5 73.6 74.5 74.3 -0.2 -0.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.9 143.3 142.1 142.7 0.6 0.4

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 57.1 56.6 57.2 0.6 1.1

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,568.6 5,637.6 5,567.5 5,660.8 93.3 1.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Ohio - Continued

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346.6 345.1 339.8 343.3 3.5 1.0

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.3 175.6 175.4 176.3 0.9 0.5

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103.5 1,112.0 1,104.5 1,115.4 10.9 1.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,066.6 1,081.8 1,072.3 1,095.2 22.9 2.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,089.0 1,102.9 1,089.5 1,103.5 14.0 1.3

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.6 392.2 387.8 389.4 1.6 0.4

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.0 53.6 54.0 54.2 0.2 0.4

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 53.1 52.8 53.6 0.8 1.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 50.9 50.7 51.0 0.3 0.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.6 309.7 307.9 311.5 3.6 1.2

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.4 41.6 41.4 -0.2 -0.5

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.9 221.2 222.1 221.3 -0.8 -0.4

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,663.7 1,696.0 1,660.6 1,691.0 30.4 1.8

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.0 25.9 25.9 25.9 0.0 0.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.2 45.9 46.3 0.4 0.9

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.4 650.5 633.3 651.0 17.7 2.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447.6 460.8 448.9 459.5 10.6 2.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,879.4 1,919.8 1,891.4 1,931.3 39.9 2.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 45.7 44.9 45.9 1.0 2.2

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 84.6 83.0 86.0 3.0 3.6

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.7 44.2 44.1 44.4 0.3 0.7

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.6 164.6 160.2 163.5 3.3 2.1

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 27.1 26.7 27.3 0.6 2.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.6 89.3 87.5 90.3 2.8 3.2

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,175.2 1,199.0 1,179.4 1,205.2 25.8 2.2

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.3 167.2 166.4 167.6 1.2 0.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,978.5 6,051.2 5,962.2 6,061.9 99.7 1.7

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372.6 378.0 372.7 380.6 7.9 2.1

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.6 62.4 62.5 0.1 0.2

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 42.2 42.4 42.1 -0.3 -0.7

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 61.6 60.1 61.6 1.5 2.5

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 59.1 59.0 59.2 0.2 0.3

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.8 129.1 127.4 128.0 0.6 0.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.4 36.2 34.8 35.9 1.1 3.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.8 347.9 345.3 349.0 3.7 1.1

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.9 56.2 54.8 55.8 1.0 1.8

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.2 258.9 254.6 258.1 3.5 1.4

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 53.0 52.5 53.1 0.6 1.1

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,925.2 2,962.3 2,923.2 2,972.2 49.0 1.7

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,183.1 1,194.0 1,181.6 1,193.9 12.3 1.0

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.2 181.2 177.3 181.1 3.8 2.1

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.9 267.8 263.1 268.9 5.8 2.2

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.8 75.4 75.0 75.9 0.9 1.2

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 53.2 53.5 53.2 -0.3 -0.6

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.8 188.8 185.4 188.3 2.9 1.6

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497.7 504.9 502.4 511.4 9.0 1.8

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 593.3 601.9 598.0 606.1 8.1 1.4

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,102.1 2,137.3 2,109.2 2,145.5 36.3 1.7

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.4 359.5 356.6 364.8 8.2 2.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399.3 400.1 398.9 399.6 0.7 0.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.7 89.9 88.3 89.7 1.4 1.6

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.7 424.7 416.0 424.0 8.0 1.9

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 82.2 81.4 83.7 2.3 2.8

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.9 175.5 178.0 182.5 4.5 2.5

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.7 156.4 153.4 156.2 2.8 1.8

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.9 39.2 39.8 0.6 1.5

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439.4 446.1 444.4 453.6 9.2 2.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 70.7 71.6 74.1 2.5 3.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

South Dakota - Continued

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.6 158.8 158.2 160.1 1.9 1.2

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,011.1 3,066.0 2,993.8 3,056.8 63.0 2.1

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.8 262.9 257.3 264.8 7.5 2.9

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.1 91.0 88.7 89.3 0.6 0.7

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 47.0 45.8 46.3 0.5 1.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 69.5 67.9 70.0 2.1 3.1

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.3 80.1 77.7 77.5 -0.2 -0.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.8 123.4 121.2 122.0 0.8 0.7

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.1 399.0 392.3 394.6 2.3 0.6

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639.8 650.9 638.1 653.4 15.3 2.4

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.6 45.1 46.1 1.0 2.2

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 976.9 1,000.6 975.9 996.5 20.6 2.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,231.4 12,584.0 12,275.6 12,628.1 352.5 2.9

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 70.1 68.7 70.1 1.4 2.0

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.0 122.5 119.3 122.2 2.9 2.4

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,034.9 1,068.6 1,038.4 1,074.1 35.7 3.4

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.8 163.9 165.2 163.9 -1.3 -0.8

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.3 143.3 142.8 144.0 1.2 0.8

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.6 121.9 111.2 117.0 5.8 5.2

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195.1 192.9 195.2 192.4 -2.8 -1.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,585.5 3,706.2 3,606.8 3,716.2 109.4 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.0 318.0 310.8 316.6 5.8 1.9

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,029.0 3,110.2 3,038.8 3,133.4 94.6 3.1

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.1 146.4 144.0 146.0 2.0 1.4

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.5 104.7 104.0 104.5 0.5 0.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.8 96.9 96.9 96.6 -0.3 -0.3

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.2 151.5 147.2 151.4 4.2 2.9

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.0 264.5 258.9 262.8 3.9 1.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.4 102.0 93.5 102.4 8.9 9.5

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.7 76.2 73.2 75.8 2.6 3.6

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.8 49.3 49.2 49.6 0.4 0.8

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,037.3 1,060.8 1,044.2 1,059.7 15.5 1.5

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 48.2 47.0 48.0 1.0 2.1

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.6 60.4 61.1 0.7 1.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.7 107.7 105.1 107.6 2.5 2.4

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 40.4 41.3 40.6 -0.7 -1.7

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.9 122.3 121.8 122.6 0.8 0.7

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 59.4 59.3 59.6 0.3 0.5

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,464.1 1,509.3 1,473.8 1,521.7 47.9 3.3

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 63.6 61.5 63.1 1.6 2.6

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.1 260.2 256.6 262.5 5.9 2.3

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.7 254.8 247.4 257.4 10.0 4.0

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 67.0 63.4 67.3 3.9 6.2

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714.8 735.0 719.0 737.2 18.2 2.5

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.7 312.4 317.0 316.6 -0.4 -0.1

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.8 124.3 125.7 124.8 -0.9 -0.7

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,960.3 4,016.8 3,987.6 4,045.9 58.3 1.5

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 77.2 75.0 74.6 -0.4 -0.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.5 120.8 117.0 120.9 3.9 3.3

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 67.3 65.7 66.8 1.1 1.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.4 105.5 103.7 105.3 1.6 1.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672.4 681.1 677.7 681.9 4.2 0.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.8 161.9 160.4 162.4 2.0 1.2

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.9 50.3 51.3 1.0 2.0

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 782.6 787.6 791.7 796.0 4.3 0.5

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.7 65.6 63.7 65.7 2.0 3.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,331.3 3,428.4 3,355.8 3,445.4 89.6 2.7

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.6 95.7 93.2 96.5 3.3 3.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued

[In thousands]

State and area

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.0 92.9 92.1 93.8 1.7 1.8

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.6 116.6 114.9 117.6 2.7 2.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 40.9 40.2 41.4 1.2 3.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.2 51.1 51.6 0.5 1.0

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.7 119.5 115.8 120.4 4.6 4.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,997.4 2,063.0 2,014.5 2,074.8 60.3 3.0

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246.4 247.7 248.2 248.3 0.1 0.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.9 29.3 28.0 29.3 1.3 4.6

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 46.3 46.0 47.9 1.9 4.1

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 90.9 88.1 91.7 3.6 4.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 748.1 766.4 743.1 754.7 11.6 1.6

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.1 45.6 45.5 -0.1 -0.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.5 118.3 117.9 117.8 -0.1 -0.1

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.2 139.1 138.3 137.1 -1.2 -0.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.2 73.8 68.6 70.7 2.1 3.1

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 40.3 40.1 40.3 0.2 0.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 67.7 67.0 67.0 0.0 0.0

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,959.4 2,981.4 2,983.0 3,017.7 34.7 1.2

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.8 127.4 127.7 129.9 2.2 1.7

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.1 88.1 86.4 87.8 1.4 1.6

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.0 48.9 48.6 49.7 1.1 2.3

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.5 180.3 181.5 182.8 1.3 0.7

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 70.0 69.9 70.1 0.2 0.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.5 81.0 79.0 80.3 1.3 1.6

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.5 406.5 403.7 407.2 3.5 0.9

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869.4 877.1 874.9 882.6 7.7 0.9

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 98.9 98.4 98.5 0.1 0.1

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.1 77.9 79.1 78.9 -0.2 -0.3

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.9 64.4 65.6 1.2 1.9

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 73.9 73.3 74.9 1.6 2.2

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.0 287.6 289.0 296.2 7.2 2.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 39.0 39.0 39.2 0.2 0.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 46.7 46.8 47.0 0.2 0.4

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881.1 851.5 881.9 852.1 -29.8 -3.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 51.2 51.1 51.3 0.2 0.4

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.9 33.2 33.7 33.1 -0.6 -1.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.7 14.1 14.4 14.1 -0.3 -2.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.8 30.1 33.3 30.1 -3.2 -9.6

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 67.4 68.1 67.4 -0.7 -1.0

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.6 18.8 19.4 18.8 -0.6 -3.1

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.9 621.5 637.2 617.8 -19.4 -3.0

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 35.9 38.6 36.2 -2.4 -6.2

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 Area boundary does not reflect official OMB delineation.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes

available. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

May June Change from

June 2017 to June 2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,821.3 17,137.1 16,865.0 17,165.3 300.3 1.8

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,049.6 6,125.8 6,049.2 6,132.6 83.4 1.4

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,616.9 1,635.0 1,620.4 1,637.4 17.0 1.0

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,432.7 4,490.8 4,428.8 4,495.2 66.4 1.5

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,393.9 2,435.8 2,404.9 2,439.7 34.8 1.4

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,164.6 1,185.5 1,168.9 1,187.4 18.5 1.6

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113.1 1,133.0 1,118.1 1,135.0 16.9 1.5

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.2 117.3 117.9 117.3 -0.6 -0.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.6 795.1 786.4 793.6 7.2 0.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,286.9 3,325.5 3,300.3 3,351.8 51.5 1.6

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.4 599.8 600.8 607.3 6.5 1.1

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,692.5 2,725.7 2,699.5 2,744.5 45.0 1.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,598.0 8,782.3 8,497.2 8,682.2 185.0 2.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,645.8 2,669.3 2,613.8 2,647.9 34.1 1.3

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 841.6 853.0 832.4 846.5 14.1 1.7

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,180.4 1,192.2 1,166.7 1,183.6 16.9 1.4

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623.8 624.1 614.7 617.8 3.1 0.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,085.2 6,138.0 6,122.2 6,183.9 61.7 1.0

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,714.9 4,750.8 4,757.4 4,803.9 46.5 1.0

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,754.3 3,785.4 3,786.6 3,828.9 42.3 1.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.9 262.3 263.0 265.0 2.0 0.8

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.3 280.9 276.6 279.9 3.3 1.2

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418.4 422.2 431.2 430.1 -1.1 -0.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,620.6 3,670.7 3,665.1 3,735.6 70.5 1.9

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.5 2,787.5 2,771.4 2,824.8 53.4 1.9

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,847.6 1,878.5 1,864.9 1,906.0 41.1 2.2

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.5 82.8 80.8 82.5 1.7 2.1

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.5 173.7 176.1 175.7 -0.4 -0.2

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 70.0 69.3 71.0 1.7 2.5

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.1 85.0 84.2 85.8 1.6 1.9

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.5 160.8 159.8 163.4 3.6 2.3

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 47.0 46.5 48.2 1.7 3.7

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.3 130.1 130.8 131.9 1.1 0.8

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.1 98.1 97.7 97.7 0.0 0.0

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 61.5 61.3 62.6 1.3 2.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,402.2 4,455.4 4,429.0 4,489.9 60.9 1.4

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,019.4 2,034.3 2,034.6 2,051.4 16.8 0.8

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759.3 769.4 763.4 773.6 10.2 1.3

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260.1 1,264.9 1,271.2 1,277.8 6.6 0.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554.1 9,669.0 9,606.7 9,739.7 133.0 1.4

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,710.1 9,833.1 9,789.8 9,907.2 117.4 1.2

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.2 151.7 148.5 150.8 2.3 1.5

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,350.9 1,366.3 1,370.9 1,386.5 15.6 1.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,218.5 1,220.5 1,232.9 1,235.3 2.4 0.2

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,992.5 7,094.6 7,037.5 7,134.6 97.1 1.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,978.5 6,051.2 5,962.2 6,061.9 99.7 1.7

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,925.2 2,962.3 2,923.2 2,972.2 49.0 1.7

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545.8 556.3 551.8 561.3 9.5 1.7

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,073.8 1,082.0 1,078.0 1,087.1 9.1 0.8

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 946.8 959.4 935.5 958.0 22.5 2.4

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.8 364.6 357.9 365.8 7.9 2.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,231.4 12,584.0 12,275.6 12,628.1 352.5 2.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,585.5 3,706.2 3,606.8 3,716.2 109.4 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,557.9 2,646.3 2,572.7 2,656.0 83.3 3.2

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,027.6 1,059.9 1,034.1 1,060.2 26.1 2.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,331.3 3,428.4 3,355.8 3,445.4 89.6 2.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,997.4 2,063.0 2,014.5 2,074.8 60.3 3.0

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,684.7 1,739.0 1,701.2 1,749.1 47.9 2.8

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.7 324.0 313.3 325.7 12.4 4.0

1 These 11 areas contain all of the 38 metropolitan divisions.

2 Part of the area (or division) is in one or more adjacent states.

3 All of the division is in one or more adjacent states.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and available at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New

England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal

city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan

areas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
Map 1. Unemployment rates for metropolitan areas, not seasonally ad

June 2018

(U.S. rate = 4.2 percent)

Map includes data for 388 metropolitan areas basedon Office of Management and Budget Bulletin No. 15- 01. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, June 2018

(U.S. average = 1.6 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Management and Budget Bulletin No. 15-

01. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.