For release 10:00 a.m. (EDT) Wednesday, August 29, 2018 USDL-18-1371 

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 — JULY 2018 

Unemployment rates were lower in July than a year earlier in 323 of the 388 metropolitan areas, higher 

in 41 areas, and unchanged in 24 areas, the U.S. Bureau of Labor Statistics reported today. Fifty-three 

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 59 metropolitan areas and was essentially unchanged in 

329 areas. The national unemployment rate in July was 4.1 percent, not seasonally adjusted, down from 

4.6 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In July, Ames, IA, had the lowest unemployment rate, 1.8 percent. Yuma, AZ, and El Centro, CA, had 

the highest unemployment rates, 20.9 percent and 19.3 percent, respectively. A total of 190 areas had 

July jobless rates above the U.S. rate of 4.1 percent, 184 areas had rates below it, and 14 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 July (-1.9 percentage 

points). Forty-seven additional areas had rate declines of at least 1.0 percentage point. The largest overthe-year rate increases occurred in Cumberland, MD-WV, and Morgantown, WV (+0.7 percentage point 

each). 

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 July, 2.6 percent. New Orleans-Metairie, 

LA, and Cleveland-Elyria, OH, had the highest jobless rates among the large areas, 5.6 percent and 5.5 

percent, respectively. Forty-four large areas had over-the-year unemployment rate decreases, five had 

increases, and two had no change. The largest rate decrease occurred in Riverside-San BernardinoOntario, CA (-1.1 percentage points). No large area had an unemployment rate increase greater than 0.3 

percentage point. 

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

Eleven of the most populous metropolitan areas are made up of 38 metropolitan divisions, which are 

essentially separately identifiable employment centers. In July, San Francisco-Redwood City-South San 

Francisco, CA, had the lowest unemployment rate among the divisions, 2.4 percent. Detroit-DearbornLivonia, MI, had the highest division rate, 6.4 percent. (See table 2.) 
- 2 - 

In July, 27 metropolitan divisions had over-the-year unemployment rate decreases, 5 had increases, and 

6 had no change. The largest rate decline occurred in Chicago-Naperville-Arlington Heights, IL (-1.2 

percentage points). No metropolitan division had an unemployment rate increase greater than 0.1 

percentage point. 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In July, 59 metropolitan areas had over-the-year increases in nonfarm payroll employment and 329 were 

essentially unchanged. The largest over-the-year employment increases occurred in New York-NewarkJersey City, NY-NJ-PA (+143,000), Dallas-Fort Worth-Arlington, TX (+118,200), and Houston-The 

Woodlands-Sugar Land, TX (+101,800). The largest over-the-year percentage gains in employment 

occurred in Midland, TX (+10.1 percent), Atlantic City-Hammonton, NJ (+7.8 percent), and MankatoNorth Mankato, MN (+7.1 percent). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 38 of 51 metropolitan areas with a 2010 Census population 

of 1 million or more, while employment remained essentially unchanged in 13. The largest over-the-year 

percentage increases in employment in these large metropolitan areas occurred in Orlando-KissimmeeSanford, FL (+4.3 percent), and Las Vegas-Henderson-Paradise, NV, and Raleigh, NC (+3.9 percent 

each). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In July, nonfarm payroll employment increased in 17 of the 38 metropolitan divisions over the year and 

remained essentially unchanged in 21. The largest over-the-year increase in employment among the 

metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+121,000), followed by 

Dallas-Plano-Irving, TX (+89,600), and Washington-Arlington-Alexandria, DC-VA-MD-WV 

(+62,500). (See table 4.) 

The largest over-the-year percentage increase occurred in Tacoma-Lakewood, WA (+4.9 percent), 

followed by Seattle-Bellevue-Everett, WA (+3.6 percent), and Dallas-Plano-Irving, TX (+3.5 percent). 

_____________ 

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

Friday, September 21, 2018, at 10:00 a.m. (EDT). The Metropolitan Area Employment and 

Unemployment news release for August is scheduled to be released on Wednesday, October 3, 

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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,180,163 2,225,120 2,173,759 2,217,317 105,578 110,048 100,246 97,933 4.8 4.9 4.6 4.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,736 47,029 45,684 46,882 2,505 2,750 2,335 2,438 5.5 5.8 5.1 5.2

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,280 74,006 73,019 73,739 3,277 3,526 3,010 3,039 4.5 4.8 4.1 4.1

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 537,773 550,129 537,270 547,937 23,738 24,523 22,277 21,396 4.4 4.5 4.1 3.9

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 94,176 98,459 94,556 98,123 3,873 4,171 3,585 3,617 4.1 4.2 3.8 3.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,016 70,896 68,765 70,569 3,223 3,279 3,014 2,827 4.7 4.6 4.4 4.0

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,095 63,622 62,382 63,455 2,939 3,177 2,738 2,835 4.7 5.0 4.4 4.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,199 66,046 64,701 65,690 3,515 3,620 3,260 3,310 5.4 5.5 5.0 5.0

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,253 43,931 42,736 43,517 2,164 2,231 2,008 1,962 5.0 5.1 4.7 4.5

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,463 223,941 216,015 224,512 9,377 9,752 8,671 8,718 4.3 4.4 4.0 3.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,498 190,233 186,095 188,959 10,673 10,880 10,121 10,158 5.7 5.7 5.4 5.4

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 173,759 176,068 172,251 175,147 7,884 8,378 7,900 7,531 4.5 4.8 4.6 4.3

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 112,388 113,408 112,645 112,544 5,687 5,891 5,551 5,252 5.1 5.2 4.9 4.7

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370,665 363,827 373,884 366,894 26,832 24,462 24,848 21,157 7.2 6.7 6.6 5.8

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 204,459 201,332 204,066 200,804 13,948 12,547 12,919 10,916 6.8 6.2 6.3 5.4

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,734 45,740 47,102 46,166 2,997 2,766 2,764 2,363 6.4 6.0 5.9 5.1

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,306,901 3,363,110 3,309,906 3,372,669 167,703 162,787 169,559 169,444 5.1 4.8 5.1 5.0

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,892 76,976 76,649 77,546 4,398 4,095 4,430 4,428 5.8 5.3 5.8 5.7

Lake Havasu City-Kingman. . . . . . . . . . . . 82,934 85,386 83,458 86,106 4,895 4,841 4,853 4,821 5.9 5.7 5.8 5.6

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,298,384 2,347,906 2,304,786 2,354,786 100,809 97,989 100,022 100,747 4.4 4.2 4.3 4.3

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,147 104,237 102,828 104,747 4,622 4,586 4,527 4,609 4.5 4.4 4.4 4.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,630 48,658 48,207 47,937 2,775 2,701 2,780 2,734 5.6 5.6 5.8 5.7

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471,724 477,589 472,599 479,049 22,051 21,237 21,796 21,813 4.7 4.4 4.6 4.6

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,927 92,824 96,351 95,569 18,254 17,788 20,726 20,014 19.2 19.2 21.5 20.9

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,374,820 1,364,026 1,373,322 1,363,795 54,092 53,936 57,080 51,924 3.9 4.0 4.2 3.8

Fayetteville-Springdale-Rogers. . . . . . . . . 275,015 276,238 277,684 279,153 8,329 8,030 8,899 7,955 3.0 2.9 3.2 2.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,223 119,450 121,153 119,486 5,362 4,965 5,384 4,721 4.4 4.2 4.4 4.0

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 41,465 40,823 42,000 41,158 1,774 1,774 1,898 1,672 4.3 4.3 4.5 4.1

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,433 64,797 65,460 65,729 2,254 2,271 2,378 2,194 3.5 3.5 3.6 3.3

Little Rock-North Little Rock-Conway. . . . 359,520 359,495 365,269 364,314 12,497 12,584 13,272 12,070 3.5 3.5 3.6 3.3

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,741 35,149 36,012 35,290 1,924 1,959 2,039 1,915 5.4 5.6 5.7 5.4

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,296,724 19,356,142 19,413,562 19,469,466 931,754 870,246 995,611 856,485 4.8 4.5 5.1 4.4

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 387,561 386,910 384,859 384,016 35,640 33,727 35,709 31,486 9.2 8.7 9.3 8.2

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,041 102,928 102,370 103,329 5,975 5,475 6,275 5,239 5.9 5.3 6.1 5.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,341 73,460 72,263 71,095 13,952 13,320 15,031 13,715 18.8 18.1 20.8 19.3

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452,041 455,362 451,774 455,154 36,445 34,541 36,669 32,657 8.1 7.6 8.1 7.2

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 58,205 57,764 58,688 58,229 5,069 4,763 4,868 4,339 8.7 8.2 8.3 7.5

Los Angeles-Long Beach-Anaheim. . . . . 6,715,050 6,746,088 6,777,366 6,792,039 304,228 302,127 337,516 313,109 4.5 4.5 5.0 4.6

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,497 61,597 60,917 61,008 4,861 4,503 4,868 4,279 7.9 7.3 8.0 7.0

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,302 117,633 113,666 115,901 10,547 10,113 10,323 9,342 9.1 8.6 9.1 8.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,165 243,014 245,173 246,323 18,577 17,451 18,716 16,492 7.6 7.2 7.6 6.7

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,223 74,215 75,594 74,705 2,621 2,307 2,769 2,201 3.5 3.1 3.7 2.9

Oxnard-Thousand Oaks-Ventura. . . . . . . 425,868 424,439 425,120 422,610 18,852 16,843 20,339 16,377 4.4 4.0 4.8 3.9

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,160 74,835 74,177 74,691 4,164 3,817 4,333 3,679 5.5 5.1 5.8 4.9

Riverside-San Bernardino-Ontario. . . . . . 2,013,511 2,033,193 2,021,898 2,043,098 107,027 95,399 114,853 93,458 5.3 4.7 5.7 4.6

Sacramento--Roseville--Arden-Arcade. . . 1,080,294 1,080,511 1,093,170 1,091,793 50,042 44,217 52,802 42,458 4.6 4.1 4.8 3.9

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,389 230,794 230,918 231,360 12,681 12,009 12,567 10,995 5.6 5.2 5.4 4.8

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,584,486 1,583,950 1,594,546 1,593,037 66,340 58,440 70,688 56,292 4.2 3.7 4.4 3.5

San Francisco-Oakland-Hayward. . . . . . . 2,569,554 2,563,076 2,592,172 2,596,468 89,436 77,953 95,323 73,960 3.5 3.0 3.7 2.8

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,070,664 1,084,949 1,080,969 1,093,399 36,757 32,110 38,775 30,262 3.4 3.0 3.6 2.8

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,581 144,219 142,365 142,545 5,228 4,687 5,714 4,477 3.6 3.2 4.0 3.1

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 147,384 148,206 146,666 147,325 7,221 6,664 7,390 6,187 4.9 4.5 5.0 4.2

Santa Maria-Santa Barbara. . . . . . . . . . . . 218,784 218,544 219,051 217,295 9,251 8,594 9,757 8,194 4.2 3.9 4.5 3.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 263,195 263,475 263,774 264,472 9,068 8,014 9,634 7,545 3.4 3.0 3.7 2.9

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 323,523 324,183 324,981 326,345 22,146 20,546 22,962 19,616 6.8 6.3 7.1 6.0

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 209,683 207,263 210,052 208,391 10,017 8,771 10,626 8,512 4.8 4.2 5.1 4.1

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 208,802 211,262 204,064 208,367 20,244 20,372 21,031 19,397 9.7 9.6 10.3 9.3

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,811 74,565 75,851 75,343 5,832 5,398 5,724 4,994 7.7 7.2 7.5 6.6

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,004,021 3,116,839 3,019,606 3,126,246 87,832 93,059 84,207 95,383 2.9 3.0 2.8 3.1

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,055 191,082 186,734 191,551 4,859 5,182 4,601 5,200 2.6 2.7 2.5 2.7

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 341,241 355,360 341,447 357,385 11,708 12,652 11,287 13,376 3.4 3.6 3.3 3.7

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,600,027 1,658,566 1,606,332 1,659,223 45,005 47,676 43,261 48,737 2.8 2.9 2.7 2.9

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 195,047 203,851 196,900 204,795 4,877 5,219 4,607 5,148 2.5 2.6 2.3 2.5

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 73,596 75,707 74,042 75,796 2,917 2,751 2,894 2,934 4.0 3.6 3.9 3.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,503 163,910 156,723 164,680 4,403 4,478 4,168 4,625 2.8 2.7 2.7 2.8

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,736 76,211 74,265 75,572 3,321 3,385 3,407 3,619 4.4 4.4 4.6 4.8

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,942,078 1,916,798 1,951,246 1,944,139 93,578 86,282 94,974 86,605 4.8 4.5 4.9 4.5

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 477,353 470,560 481,932 478,944 23,201 21,205 23,111 21,049 4.9 4.5 4.8 4.4

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,686 108,665 110,564 110,606 4,403 4,124 4,466 4,121 4.0 3.8 4.0 3.7

Hartford-West Hartford-East Hartford. . . . 632,452 626,531 634,038 634,036 30,536 28,292 31,441 28,603 4.8 4.5 5.0 4.5

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 334,189 328,466 333,646 331,944 16,268 14,788 16,470 14,864 4.9 4.5 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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 147,449 145,636 148,804 148,029 6,779 6,264 6,877 6,210 4.6 4.3 4.6 4.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 113,539 111,324 114,050 112,688 6,515 6,081 6,669 6,274 5.7 5.5 5.8 5.6

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481,712 491,740 483,010 493,123 23,782 20,028 23,342 20,624 4.9 4.1 4.8 4.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,402 80,416 77,315 79,897 4,386 3,755 4,338 3,844 5.6 4.7 5.6 4.8

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 200,527 197,032 203,058 199,727 9,514 9,284 9,315 9,060 4.7 4.7 4.6 4.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . 404,318 412,394 407,291 414,525 26,479 24,509 26,933 24,833 6.5 5.9 6.6 6.0

Washington-Arlington-Alexandria. . . . . . . 3,416,033 3,463,185 3,438,343 3,479,908 133,569 127,733 134,363 122,258 3.9 3.7 3.9 3.5

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,127,782 10,291,445 10,164,624 10,318,381 438,687 399,312 444,483 408,440 4.3 3.9 4.4 4.0

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 335,329 337,366 334,546 338,295 14,006 12,795 14,206 12,890 4.2 3.8 4.2 3.8

Crestview-Fort Walton Beach-Destin. . . . 129,545 134,392 130,023 135,301 4,453 4,170 4,509 4,087 3.4 3.1 3.5 3.0

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,870 304,281 299,811 305,656 13,561 12,316 13,621 12,440 4.5 4.0 4.5 4.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 140,704 142,154 141,940 143,737 5,742 5,256 5,681 5,197 4.1 3.7 4.0 3.6

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,371 48,526 47,495 47,515 2,864 2,733 2,893 2,713 5.9 5.6 6.1 5.7

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 767,224 789,675 773,117 793,456 32,113 29,386 32,709 30,301 4.2 3.7 4.2 3.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 294,103 299,693 293,402 299,798 14,303 13,242 14,588 13,659 4.9 4.4 5.0 4.6

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,137,923 3,174,535 3,161,908 3,175,164 140,553 124,509 142,866 128,429 4.5 3.9 4.5 4.0

Naples-Immokalee-Marco Island. . . . . . . . 169,821 168,638 169,435 168,709 7,091 6,512 7,617 6,999 4.2 3.9 4.5 4.1

North Port-Sarasota-Bradenton. . . . . . . . . 359,953 367,345 360,491 368,413 14,385 13,578 14,701 13,594 4.0 3.7 4.1 3.7

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,835 136,537 134,690 137,082 6,870 6,432 6,936 6,495 5.1 4.7 5.1 4.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,308,697 1,350,917 1,314,362 1,363,065 52,017 47,787 52,345 48,820 4.0 3.5 4.0 3.6

Palm Bay-Melbourne-Titusville. . . . . . . . . 271,759 272,785 272,917 275,667 11,964 10,585 12,025 10,754 4.4 3.9 4.4 3.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 97,618 99,931 97,456 100,388 3,967 3,615 3,959 3,622 4.1 3.6 4.1 3.6

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 225,508 227,100 225,108 228,517 9,644 8,768 9,568 8,868 4.3 3.9 4.3 3.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 211,223 213,598 211,032 212,900 10,454 9,744 10,677 10,012 4.9 4.6 5.1 4.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,237 71,171 69,814 70,909 3,341 3,084 3,390 3,136 4.8 4.3 4.9 4.4

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,552 64,120 63,216 64,089 3,299 3,090 3,437 3,248 5.2 4.8 5.4 5.1

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,595 35,349 35,236 34,798 2,079 1,915 2,193 2,022 5.8 5.4 6.2 5.8

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 189,931 193,230 190,514 192,946 8,268 7,558 8,197 7,641 4.4 3.9 4.3 4.0

Tampa-St. Petersburg-Clearwater. . . . . . 1,516,014 1,544,769 1,520,403 1,548,565 62,403 58,124 62,669 58,875 4.1 3.8 4.1 3.8

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,281 30,906 30,256 30,743 1,838 1,766 1,900 1,727 6.1 5.7 6.3 5.6

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,064,169 5,185,232 5,090,447 5,193,945 251,964 217,017 255,534 209,118 5.0 4.2 5.0 4.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,967 69,295 67,704 69,171 4,002 3,574 3,993 3,447 5.9 5.2 5.9 5.0

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,039 104,306 101,342 104,631 5,009 4,294 4,940 3,903 4.9 4.1 4.9 3.7

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,034,805 3,115,615 3,056,206 3,125,492 145,235 124,862 146,525 118,713 4.8 4.0 4.8 3.8

Augusta-Richmond County. . . . . . . . . . . . . 265,230 272,952 266,174 272,982 13,687 11,858 14,077 11,934 5.2 4.3 5.3 4.4

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,077 54,785 54,438 54,827 2,608 2,216 2,642 2,053 4.8 4.0 4.9 3.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,422 127,083 125,093 127,426 7,124 6,553 7,226 6,163 5.7 5.2 5.8 4.8

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,970 62,413 61,467 62,961 3,366 2,980 3,406 3,147 5.5 4.8 5.5 5.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 100,279 104,780 101,252 104,922 4,188 3,616 4,195 3,328 4.2 3.5 4.1 3.2

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,137 34,092 33,618 34,107 1,736 1,530 1,778 1,463 5.2 4.5 5.3 4.3

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,936 107,183 105,965 106,790 5,612 4,829 5,702 4,589 5.3 4.5 5.4 4.3

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,122 45,144 44,785 45,356 2,390 2,062 2,772 2,111 5.4 4.6 6.2 4.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,698 188,895 188,424 188,173 8,700 7,502 8,680 6,993 4.7 4.0 4.6 3.7

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,984 66,478 64,518 66,753 3,264 2,934 3,254 2,766 5.0 4.4 5.0 4.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,711 87,189 85,289 86,363 4,308 3,749 4,344 3,500 5.1 4.3 5.1 4.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688,732 690,740 688,438 689,962 20,077 19,115 16,219 15,111 2.9 2.8 2.4 2.2

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 87,832 87,868 87,817 88,838 2,706 2,415 2,214 1,907 3.1 2.7 2.5 2.1

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 470,933 473,673 471,224 470,963 13,024 12,427 10,374 9,529 2.8 2.6 2.2 2.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 842,216 863,020 845,036 866,508 24,444 22,753 24,691 23,877 2.9 2.6 2.9 2.8

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 347,072 358,392 349,199 360,418 10,255 9,384 10,357 9,994 3.0 2.6 3.0 2.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 77,160 78,879 77,480 79,585 2,473 2,319 2,515 2,415 3.2 2.9 3.2 3.0

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,076 70,421 68,851 70,392 1,676 1,551 1,719 1,594 2.4 2.2 2.5 2.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,733 32,249 31,603 31,977 935 987 953 970 2.9 3.1 3.0 3.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,383 42,499 41,187 42,507 1,194 1,071 1,182 1,146 2.9 2.5 2.9 2.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,561,649 6,558,494 6,567,081 6,562,531 332,530 294,591 335,872 280,237 5.1 4.5 5.1 4.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 94,394 96,548 95,830 96,630 3,988 4,207 4,166 4,035 4.2 4.4 4.3 4.2

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 57,228 57,966 59,408 59,596 2,853 2,977 2,982 2,901 5.0 5.1 5.0 4.9

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 115,971 119,689 117,311 120,172 5,170 5,563 5,376 5,349 4.5 4.6 4.6 4.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,982,453 4,951,237 4,985,235 4,959,562 255,348 215,529 255,098 204,051 5.1 4.4 5.1 4.1

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,019 34,386 34,298 34,527 2,155 2,055 2,332 2,042 6.3 6.0 6.8 5.9

Davenport-Moline-Rock Island1. . . . . . . . . 191,046 193,791 192,804 194,738 8,209 7,773 8,114 7,278 4.3 4.0 4.2 3.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,258 50,672 49,606 50,710 2,718 2,890 2,851 2,820 5.5 5.7 5.7 5.6

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,609 58,778 56,073 58,937 2,772 2,843 2,860 2,747 5.0 4.8 5.1 4.7

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,900 179,816 178,387 180,140 9,286 9,056 9,730 8,781 5.2 5.0 5.5 4.9

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165,109 168,389 166,424 168,435 9,024 8,731 9,319 8,452 5.5 5.2 5.6 5.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,935 111,878 110,811 111,752 4,517 4,732 4,765 4,493 4.1 4.2 4.3 4.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,363,853 3,432,332 3,355,414 3,442,520 117,535 125,197 120,612 121,567 3.5 3.6 3.6 3.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,690 72,205 74,245 71,210 2,955 3,248 3,046 3,162 3.9 4.5 4.1 4.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,242 46,216 44,900 46,736 1,230 1,306 1,269 1,231 2.7 2.8 2.8 2.6

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 113,943 120,744 113,737 120,710 2,968 3,255 2,981 3,185 2.6 2.7 2.6 2.6

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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,651 167,310 163,395 168,217 5,726 5,855 5,697 5,622 3.5 3.5 3.5 3.3

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 214,877 220,425 214,618 222,797 6,853 7,332 7,066 7,142 3.2 3.3 3.3 3.2

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,056,753 1,082,739 1,059,000 1,088,388 34,602 37,229 36,017 36,297 3.3 3.4 3.4 3.3

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,416 40,299 38,230 40,556 2,151 1,625 1,428 1,404 5.5 4.0 3.7 3.5

Lafayette-West Lafayette. . . . . . . . . . . . . . 105,885 110,607 106,921 111,899 3,628 3,937 3,746 3,771 3.4 3.6 3.5 3.4

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,388 48,459 48,212 48,534 2,024 2,127 2,038 2,048 4.2 4.4 4.2 4.2

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,621 55,727 53,916 55,804 2,292 2,378 2,435 2,273 4.2 4.3 4.5 4.1

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,879 160,697 157,268 160,444 5,832 6,221 6,221 6,180 3.7 3.9 4.0 3.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,795 77,973 76,462 77,930 3,172 3,699 3,321 3,827 4.1 4.7 4.3 4.9

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,694,169 1,707,150 1,698,474 1,713,849 54,020 43,151 51,144 41,746 3.2 2.5 3.0 2.4

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,197 55,653 54,620 55,831 1,421 1,116 1,258 1,024 2.6 2.0 2.3 1.8

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 144,319 145,232 143,867 145,365 4,913 3,981 4,673 3,852 3.4 2.7 3.2 2.6

Des Moines-West Des Moines. . . . . . . . . 350,892 362,950 352,756 364,561 10,739 8,759 10,130 8,493 3.1 2.4 2.9 2.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,455 54,612 54,476 54,416 1,584 1,266 1,541 1,220 2.9 2.3 2.8 2.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,382 97,494 97,034 97,738 2,802 2,123 2,602 2,019 2.9 2.2 2.7 2.1

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 91,433 92,112 91,209 92,604 3,068 2,506 2,940 2,400 3.4 2.7 3.2 2.6

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 88,003 87,675 88,151 88,300 3,222 2,424 2,980 2,331 3.7 2.8 3.4 2.6

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,493,738 1,497,663 1,501,319 1,500,562 57,904 54,549 62,362 59,350 3.9 3.6 4.2 4.0

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,813 62,601 63,476 63,271 2,303 2,226 2,436 2,377 3.6 3.6 3.8 3.8

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 46,271 44,848 45,290 45,087 1,601 1,524 1,704 1,623 3.5 3.4 3.8 3.6

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,164 120,331 123,078 121,518 4,668 4,432 4,988 4,889 3.9 3.7 4.1 4.0

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310,796 310,586 313,546 313,716 13,713 12,612 15,019 13,585 4.4 4.1 4.8 4.3

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,084,973 2,101,161 2,071,239 2,091,128 113,516 104,854 110,880 102,650 5.4 5.0 5.4 4.9

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,763 85,315 81,333 83,591 4,081 3,873 3,850 3,688 4.9 4.5 4.7 4.4

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 68,069 68,574 68,216 69,206 3,568 3,349 3,627 3,344 5.2 4.9 5.3 4.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 274,431 277,985 271,752 276,290 11,978 11,329 11,397 10,663 4.4 4.1 4.2 3.9

Louisville/Jefferson County. . . . . . . . . . . . . 670,300 677,600 675,409 682,205 30,201 29,294 31,526 30,115 4.5 4.3 4.7 4.4

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,627 57,036 56,621 57,195 2,881 2,660 2,733 2,523 5.1 4.7 4.8 4.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,135,588 2,155,127 2,136,012 2,160,283 124,813 130,594 119,626 126,813 5.8 6.1 5.6 5.9

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,316 65,493 65,605 65,779 4,295 4,269 4,097 4,168 6.6 6.5 6.2 6.3

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 419,950 430,416 421,620 430,454 21,886 23,395 20,975 23,005 5.2 5.4 5.0 5.3

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,706 56,446 55,598 56,572 3,750 3,828 3,596 3,708 6.7 6.8 6.5 6.6

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 90,166 89,816 90,515 90,712 5,399 5,483 5,119 5,243 6.0 6.1 5.7 5.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,922 215,539 217,457 216,923 13,519 13,206 12,769 12,767 6.2 6.1 5.9 5.9

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 114,687 117,561 115,800 117,839 5,033 5,495 4,824 5,307 4.4 4.7 4.2 4.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,774 81,381 80,684 81,751 4,767 5,095 4,526 5,005 5.9 6.3 5.6 6.1

New Orleans-Metairie. . . . . . . . . . . . . . . . . 601,695 610,008 601,519 613,045 33,007 35,028 32,062 34,319 5.5 5.7 5.3 5.6

Shreveport-Bossier City. . . . . . . . . . . . . . . 190,069 191,285 190,816 191,863 11,955 12,460 11,370 11,868 6.3 6.5 6.0 6.2

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 712,435 717,973 720,418 728,217 23,820 22,971 23,499 23,869 3.3 3.2 3.3 3.3

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,015 70,792 70,761 71,234 2,553 2,367 2,560 2,816 3.6 3.3 3.6 4.0

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,366 56,809 56,351 56,902 1,856 1,829 1,855 1,925 3.3 3.2 3.3 3.4

Portland-South Portland. . . . . . . . . . . . . . . 212,470 215,688 214,354 217,696 5,948 5,880 5,673 5,908 2.8 2.7 2.6 2.7

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,248,859 3,266,061 3,274,692 3,284,997 140,659 145,631 140,435 146,315 4.3 4.5 4.3 4.5

Baltimore-Columbia-Towson. . . . . . . . . . . 1,513,278 1,529,173 1,526,827 1,531,460 68,171 69,346 68,145 70,559 4.5 4.5 4.5 4.6

California-Lexington Park. . . . . . . . . . . . . . 56,046 56,035 56,160 56,529 2,514 2,488 2,528 2,706 4.5 4.4 4.5 4.8

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,271 44,797 44,451 44,830 2,580 2,721 2,459 2,758 5.8 6.1 5.5 6.2

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 132,315 133,091 131,935 134,013 5,707 6,071 5,577 6,009 4.3 4.6 4.2 4.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,702,764 3,857,394 3,713,111 3,893,015 148,385 150,125 148,026 153,090 4.0 3.9 4.0 3.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 133,560 137,885 140,045 145,464 5,150 5,259 4,941 5,115 3.9 3.8 3.5 3.5

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,725,871 2,840,483 2,728,112 2,863,135 101,192 101,786 100,417 104,111 3.7 3.6 3.7 3.6

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 78,455 81,498 78,495 82,068 3,533 3,623 3,705 3,773 4.5 4.4 4.7 4.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,353 88,218 85,792 89,077 4,780 4,851 4,875 4,983 5.6 5.5 5.7 5.6

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,536 45,672 45,243 46,548 1,960 1,965 1,859 1,922 4.4 4.3 4.1 4.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 371,543 383,199 370,282 383,288 18,356 18,532 18,654 18,963 4.9 4.8 5.0 4.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 354,641 368,358 353,029 368,411 15,069 15,241 15,259 15,637 4.2 4.1 4.3 4.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,916,534 4,954,030 4,942,077 4,950,174 219,021 213,493 268,290 239,419 4.5 4.3 5.4 4.8

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 192,969 195,447 192,839 195,013 7,480 6,986 9,593 7,787 3.9 3.6 5.0 4.0

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 64,447 64,429 64,578 63,727 3,296 2,883 3,920 3,088 5.1 4.5 6.1 4.8

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,448 51,544 51,465 51,266 2,874 2,610 3,322 2,749 5.6 5.1 6.5 5.4

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,110,396 2,128,604 2,138,047 2,137,190 86,053 92,825 107,913 107,906 4.1 4.4 5.0 5.0

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,516 186,769 185,916 185,301 10,499 9,508 12,954 11,517 5.6 5.1 7.0 6.2

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 579,560 589,305 576,648 583,351 21,069 19,432 26,318 21,163 3.6 3.3 4.6 3.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,811 75,316 74,366 73,998 3,605 3,332 4,291 3,481 4.8 4.4 5.8 4.7

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 168,399 169,885 167,654 169,164 7,603 6,946 9,097 7,383 4.5 4.1 5.4 4.4

Lansing-East Lansing. . . . . . . . . . . . . . . . . 247,117 248,714 245,371 248,019 12,063 9,711 13,713 11,044 4.9 3.9 5.6 4.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,154 41,200 41,057 40,827 1,889 1,748 2,200 1,816 4.6 4.2 5.4 4.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,227 77,978 76,741 77,297 3,782 3,425 4,920 3,819 4.9 4.4 6.4 4.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 80,297 79,952 80,110 80,080 4,212 4,094 5,271 4,315 5.2 5.1 6.6 5.4

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 76,226 75,403 75,585 74,873 3,696 3,538 4,345 3,621 4.8 4.7 5.7 4.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,488 88,937 88,399 88,155 4,801 4,427 5,702 5,075 5.4 5.0 6.5 5.8

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,083,747 3,133,173 3,097,084 3,137,518 106,407 91,467 102,342 85,440 3.5 2.9 3.3 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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,123 145,178 144,554 144,821 6,722 5,600 6,282 5,144 4.7 3.9 4.3 3.6

Mankato-North Mankato. . . . . . . . . . . . . . . 59,807 62,288 59,051 62,507 1,848 1,614 1,714 1,409 3.1 2.6 2.9 2.3

Minneapolis-St. Paul-Bloomington. . . . . . 2,002,779 2,037,455 2,023,440 2,045,931 66,988 57,247 64,806 53,585 3.3 2.8 3.2 2.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,227 123,683 124,324 124,506 3,598 3,162 3,439 2,829 2.9 2.6 2.8 2.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,767 113,358 111,912 113,521 3,766 3,259 3,520 2,920 3.4 2.9 3.1 2.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,295,654 1,303,216 1,293,157 1,304,105 78,429 74,833 75,197 69,524 6.1 5.7 5.8 5.3

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 167,779 167,415 168,612 169,094 9,989 9,716 9,668 8,966 6.0 5.8 5.7 5.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,721 69,419 68,532 69,831 3,751 3,505 3,597 3,289 5.5 5.0 5.2 4.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274,445 279,623 274,541 278,565 14,488 13,873 13,833 12,834 5.3 5.0 5.0 4.6

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,083,797 3,111,518 3,087,860 3,111,852 116,807 108,538 128,665 117,348 3.8 3.5 4.2 3.8

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,119 48,956 47,067 48,112 1,939 1,699 1,999 1,783 4.0 3.5 4.2 3.7

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,460 96,063 96,947 97,514 2,758 2,455 2,955 2,799 2.9 2.6 3.0 2.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 75,275 74,975 75,972 75,801 2,565 2,156 2,817 2,398 3.4 2.9 3.7 3.2

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,982 85,139 84,831 85,681 3,213 2,709 3,360 3,012 3.8 3.2 4.0 3.5

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,137,710 1,160,011 1,157,899 1,172,401 42,735 40,409 49,923 46,032 3.8 3.5 4.3 3.9

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,912 66,398 66,414 66,873 2,345 2,072 2,504 2,256 3.6 3.1 3.8 3.4

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473,265 1,496,068 1,482,526 1,500,613 56,470 54,546 60,193 57,012 3.8 3.6 4.1 3.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,021 231,297 231,749 232,411 7,649 6,898 7,969 7,301 3.3 3.0 3.4 3.1

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533,305 529,862 535,948 533,248 21,186 18,708 19,530 17,201 4.0 3.5 3.6 3.2

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,997 87,740 87,845 87,497 3,307 2,994 3,051 2,840 3.8 3.4 3.5 3.2

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,286 38,282 37,406 37,272 1,482 1,317 1,357 1,215 3.9 3.4 3.6 3.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,883 62,534 61,568 61,508 2,230 1,923 2,072 1,760 3.5 3.1 3.4 2.9

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019,112 1,026,280 1,022,611 1,031,647 31,769 31,677 32,315 31,608 3.1 3.1 3.2 3.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 44,163 44,231 44,115 44,284 1,331 1,364 1,366 1,354 3.0 3.1 3.1 3.1

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,003 179,779 177,969 181,980 5,153 5,215 5,108 5,121 2.9 2.9 2.9 2.8

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 479,787 490,152 485,204 495,875 15,585 15,192 15,936 15,138 3.2 3.1 3.3 3.1

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,464,510 1,499,837 1,470,436 1,512,538 76,933 67,026 75,576 67,630 5.3 4.5 5.1 4.5

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,769 26,426 25,907 26,528 1,224 1,133 1,222 1,132 4.7 4.3 4.7 4.3

Las Vegas-Henderson-Paradise. . . . . . . . 1,069,843 1,097,668 1,077,241 1,109,803 59,344 52,024 58,349 52,377 5.5 4.7 5.4 4.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241,275 249,445 242,593 249,828 10,317 8,711 10,046 8,853 4.3 3.5 4.1 3.5

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 754,737 769,988 759,632 775,492 19,852 20,129 19,741 20,701 2.6 2.6 2.6 2.7

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 83,831 86,327 84,362 87,125 2,062 2,139 2,098 2,186 2.5 2.5 2.5 2.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 118,287 120,179 117,672 119,457 3,178 3,036 3,072 3,060 2.7 2.5 2.6 2.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 77,735 79,742 78,678 80,535 1,832 1,914 1,813 1,935 2.4 2.4 2.3 2.4

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,567,931 4,531,405 4,586,978 4,581,457 210,912 196,016 234,116 218,099 4.6 4.3 5.1 4.8

Atlantic City-Hammonton. . . . . . . . . . . . . . 122,486 121,439 124,001 129,074 8,523 7,065 9,030 7,577 7.0 5.8 7.3 5.9

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,774 53,024 58,642 56,537 3,469 3,120 3,282 2,947 6.3 5.9 5.6 5.2

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,326 201,506 200,975 204,532 8,238 7,809 9,483 9,045 4.1 3.9 4.7 4.4

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,409 65,766 64,915 65,228 4,445 4,156 4,844 4,549 6.7 6.3 7.5 7.0

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 932,737 946,180 932,069 943,004 63,038 48,745 62,198 47,547 6.8 5.2 6.7 5.0

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 426,134 434,841 425,798 433,242 26,860 21,264 26,690 20,846 6.3 4.9 6.3 4.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,475 53,806 52,684 52,684 4,163 3,065 3,950 2,962 7.8 5.7 7.5 5.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 94,054 93,475 92,488 92,010 7,128 5,636 6,911 5,363 7.6 6.0 7.5 5.8

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,136 75,049 73,758 75,801 4,081 3,186 4,127 3,133 5.6 4.2 5.6 4.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,794,282 9,803,502 9,858,475 9,834,720 453,016 410,500 485,742 417,771 4.6 4.2 4.9 4.2

Albany-Schenectady-Troy. . . . . . . . . . . . . . 458,361 457,636 457,495 454,028 19,887 17,848 20,180 17,312 4.3 3.9 4.4 3.8

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 110,495 109,087 108,747 107,789 6,038 5,250 5,962 5,154 5.5 4.8 5.5 4.8

Buffalo-Cheektowaga-Niagara Falls. . . . . 555,429 557,239 558,889 556,108 28,716 24,797 30,239 25,227 5.2 4.4 5.4 4.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,607 35,910 36,152 35,526 1,988 1,743 1,997 1,670 5.4 4.9 5.5 4.7

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 63,216 63,273 63,911 64,025 2,652 2,403 2,733 2,254 4.2 3.8 4.3 3.5

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,828 50,607 49,361 50,223 2,494 2,108 2,447 2,014 5.0 4.2 5.0 4.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,982 91,010 90,398 90,741 4,057 3,617 4,220 3,612 4.5 4.0 4.7 4.0

New York-Newark-Jersey City. . . . . . . . . . 10,199,124 10,177,398 10,273,872 10,242,743 457,107 422,209 503,462 447,618 4.5 4.1 4.9 4.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 530,344 532,747 528,033 530,093 25,895 22,763 26,674 22,555 4.9 4.3 5.1 4.3

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 310,923 310,763 311,083 310,457 15,686 13,819 15,845 13,408 5.0 4.4 5.1 4.3

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 132,735 131,262 133,356 132,141 6,528 5,856 6,644 5,788 4.9 4.5 5.0 4.4

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 46,811 46,455 47,338 46,727 2,569 2,227 2,663 2,227 5.5 4.8 5.6 4.8

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,953,758 5,041,296 4,988,088 5,052,714 225,938 212,181 237,962 206,069 4.6 4.2 4.8 4.1

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,949 234,363 231,187 234,720 8,361 7,938 8,948 7,673 3.7 3.4 3.9 3.3

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,409 80,428 80,300 80,764 3,557 3,373 3,749 3,245 4.5 4.2 4.7 4.0

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,319,016 1,348,675 1,324,276 1,346,836 56,981 52,504 59,277 51,106 4.3 3.9 4.5 3.8

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 296,041 302,290 299,771 304,824 12,085 11,503 12,887 11,089 4.1 3.8 4.3 3.6

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,726 149,356 146,245 148,183 8,477 8,111 8,956 8,097 5.7 5.4 6.1 5.5

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,490 53,386 53,675 53,253 2,747 2,465 2,912 2,379 5.1 4.6 5.4 4.5

Greensboro-High Point. . . . . . . . . . . . . . . . 368,473 373,121 369,528 372,922 18,022 16,722 19,017 16,257 4.9 4.5 5.1 4.4

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,981 90,239 89,322 90,577 4,653 4,454 4,878 4,271 5.2 4.9 5.5 4.7

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,162 176,128 174,063 175,660 7,402 6,804 7,832 6,551 4.3 3.9 4.5 3.7

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,458 64,781 62,777 62,846 3,200 2,963 3,479 2,874 5.0 4.6 5.5 4.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,124 52,710 52,515 52,998 2,454 2,277 2,584 2,244 4.7 4.3 4.9 4.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 698,165 719,628 709,445 729,827 28,134 26,552 29,856 25,731 4.0 3.7 4.2 3.5

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,302 64,312 65,639 64,714 4,488 4,099 4,578 3,974 6.9 6.4 7.0 6.1

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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,207 149,071 148,401 149,834 6,295 5,841 6,607 5,751 4.3 3.9 4.5 3.8

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 324,322 330,276 326,041 329,654 14,385 13,479 15,043 13,001 4.4 4.1 4.6 3.9

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 424,286 414,233 423,222 411,778 11,630 11,947 9,731 9,899 2.7 2.9 2.3 2.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,277 70,145 71,322 69,571 1,883 2,011 1,592 1,670 2.6 2.9 2.2 2.4

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,934 138,558 139,637 138,755 3,339 3,662 2,930 3,024 2.4 2.6 2.1 2.2

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,660 56,510 55,579 55,374 1,781 1,757 1,625 1,575 3.1 3.1 2.9 2.8

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,836,256 5,872,504 5,864,866 5,849,707 302,370 309,470 310,257 284,440 5.2 5.3 5.3 4.9

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362,755 366,975 364,963 366,006 18,497 18,876 18,671 17,177 5.1 5.1 5.1 4.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 202,819 203,300 202,375 202,293 10,558 10,952 10,594 9,901 5.2 5.4 5.2 4.9

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,125,217 1,139,866 1,129,396 1,137,640 51,875 53,016 51,717 48,714 4.6 4.7 4.6 4.3

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,044,736 1,049,551 1,056,494 1,060,633 63,463 64,358 63,768 58,345 6.1 6.1 6.0 5.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,087,210 1,100,138 1,095,674 1,094,730 46,633 49,334 46,577 44,485 4.3 4.5 4.3 4.1

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390,369 392,002 395,611 389,918 19,239 20,033 19,377 18,464 4.9 5.1 4.9 4.7

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,453 49,498 49,751 49,514 2,513 2,514 2,846 2,637 5.1 5.1 5.7 5.3

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,856 54,323 54,010 53,779 2,944 2,934 3,200 2,815 5.5 5.4 5.9 5.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,492 64,675 63,995 63,980 3,254 3,384 3,568 3,365 5.0 5.2 5.6 5.3

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,167 308,615 306,820 305,192 18,579 17,419 19,091 16,039 6.0 5.6 6.2 5.3

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,568 51,285 51,678 50,978 3,505 3,441 3,440 3,308 6.8 6.7 6.7 6.5

Youngstown-Warren-Boardman. . . . . . . . 247,685 244,732 249,677 242,977 15,698 14,809 19,247 14,785 6.3 6.1 7.7 6.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,845,536 1,880,837 1,839,879 1,872,416 86,017 74,913 79,646 68,089 4.7 4.0 4.3 3.6

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,204 28,224 28,159 28,517 1,179 1,011 1,084 919 4.2 3.6 3.8 3.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,644 53,312 52,265 52,825 2,466 2,380 2,302 2,256 4.7 4.5 4.4 4.3

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 675,377 695,611 677,371 694,507 28,728 25,529 26,572 23,107 4.3 3.7 3.9 3.3

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 482,504 494,244 483,155 495,031 23,164 19,654 21,560 17,870 4.8 4.0 4.5 3.6

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,117,704 2,119,545 2,134,577 2,137,197 90,393 84,155 95,339 85,016 4.3 4.0 4.5 4.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,328 58,680 57,859 58,836 2,826 2,626 3,026 2,703 4.8 4.5 5.2 4.6

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 94,269 95,929 95,357 97,158 3,885 3,624 3,982 3,576 4.1 3.8 4.2 3.7

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,250 48,994 46,625 46,698 1,829 1,624 1,918 1,635 3.7 3.3 4.1 3.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,534 184,263 181,087 182,520 8,644 7,924 9,070 8,052 4.7 4.3 5.0 4.4

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,683 35,891 35,500 35,758 1,913 1,845 2,037 1,911 5.4 5.1 5.7 5.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,093 105,204 103,973 104,862 5,143 4,867 5,478 4,986 4.9 4.6 5.3 4.8

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,310,102 1,314,031 1,320,321 1,324,416 53,317 50,223 55,681 50,094 4.1 3.8 4.2 3.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203,965 200,714 206,616 204,122 9,254 8,370 9,808 8,696 4.5 4.2 4.7 4.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,475,415 6,448,404 6,514,475 6,501,697 323,923 283,168 344,024 291,781 5.0 4.4 5.3 4.5

Allentown-Bethlehem-Easton. . . . . . . . . . . 439,251 439,993 439,205 442,501 21,739 19,800 23,309 20,755 4.9 4.5 5.3 4.7

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,488 60,781 61,649 61,103 3,123 2,775 3,222 2,779 5.1 4.6 5.2 4.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,881 42,126 43,121 42,462 2,090 1,986 2,277 2,046 4.9 4.7 5.3 4.8

Chambersburg-Waynesboro. . . . . . . . . . . 77,605 77,727 77,893 78,214 3,562 2,961 3,746 3,147 4.6 3.8 4.8 4.0

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 82,724 82,095 83,756 83,132 4,819 4,307 5,035 4,520 5.8 5.2 6.0 5.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,226 129,793 131,596 130,823 7,653 6,330 7,996 6,271 5.8 4.9 6.1 4.8

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,907 56,340 56,396 56,929 2,182 1,913 2,317 1,982 3.9 3.4 4.1 3.5

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 300,486 298,768 303,471 303,126 13,251 11,592 13,892 11,625 4.4 3.9 4.6 3.8

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 59,998 59,693 59,943 59,834 3,957 3,387 4,034 3,430 6.6 5.7 6.7 5.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 285,369 284,674 287,544 288,259 11,546 10,321 12,292 10,793 4.0 3.6 4.3 3.7

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,976 71,409 72,123 71,724 3,056 2,790 3,247 2,846 4.2 3.9 4.5 4.0

Philadelphia-Camden-Wilmington. . . . . . . 3,100,032 3,110,820 3,119,420 3,139,352 150,567 134,785 163,876 144,403 4.9 4.3 5.3 4.6

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,216,398 1,208,421 1,223,747 1,215,377 63,234 53,187 65,285 53,376 5.2 4.4 5.3 4.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,061 214,126 214,975 215,721 10,061 9,113 10,555 9,308 4.7 4.3 4.9 4.3

Scranton--Wilkes-Barre--Hazleton. . . . . . . 278,924 280,117 280,327 283,879 15,558 13,736 16,623 14,691 5.6 4.9 5.9 5.2

State College. . . . . . . . . . . . . . . . . . . . . . . . 76,403 76,016 77,764 76,890 2,984 2,790 3,293 2,867 3.9 3.7 4.2 3.7

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,937 56,615 58,018 56,184 3,193 2,691 3,301 2,682 5.5 4.8 5.7 4.8

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 236,106 235,104 237,633 237,088 11,125 9,750 11,927 9,952 4.7 4.1 5.0 4.2

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 558,213 566,120 561,995 571,460 23,617 20,632 26,292 23,337 4.2 3.6 4.7 4.1

Providence-Warwick. . . . . . . . . . . . . . . . . . 687,855 701,520 690,690 707,131 29,518 26,743 32,242 29,702 4.3 3.8 4.7 4.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,342,219 2,334,208 2,342,714 2,336,709 104,015 83,848 104,779 82,192 4.4 3.6 4.5 3.5

Charleston-North Charleston. . . . . . . . . . . 382,416 381,913 384,089 382,917 14,756 11,796 14,453 11,520 3.9 3.1 3.8 3.0

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 406,760 400,032 407,429 403,992 17,454 14,033 17,017 13,731 4.3 3.5 4.2 3.4

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,076 95,197 95,593 95,481 4,837 3,819 4,801 3,834 5.0 4.0 5.0 4.0

Greenville-Anderson-Mauldin. . . . . . . . . . . 426,373 427,307 426,275 424,246 17,308 14,242 18,024 13,807 4.1 3.3 4.2 3.3

Hilton Head Island-Bluffton-Beaufort. . . . 89,417 89,723 89,694 90,313 3,670 3,023 3,611 2,956 4.1 3.4 4.0 3.3

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206,355 208,305 206,130 209,242 9,767 8,563 9,639 8,358 4.7 4.1 4.7 4.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 158,868 158,670 159,225 158,426 7,011 5,533 7,978 5,447 4.4 3.5 5.0 3.4

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,372 43,938 44,411 44,208 2,481 1,924 2,439 1,882 5.6 4.4 5.5 4.3

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 462,908 466,085 463,056 466,174 14,936 13,706 14,479 12,350 3.2 2.9 3.1 2.6

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 75,547 77,867 76,437 77,447 2,462 2,255 2,331 1,964 3.3 2.9 3.0 2.5

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 149,150 151,810 150,885 152,894 3,971 3,670 3,803 3,203 2.7 2.4 2.5 2.1

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,223,651 3,297,457 3,230,978 3,297,513 130,786 135,358 125,904 133,443 4.1 4.1 3.9 4.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 270,517 279,457 269,973 279,613 11,475 11,321 11,309 11,056 4.2 4.1 4.2 4.0

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,607 114,198 112,180 114,149 5,764 5,842 5,677 5,787 5.1 5.1 5.1 5.1

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,278 58,606 57,594 58,832 2,508 2,595 2,360 2,495 4.4 4.4 4.1 4.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,185 66,243 64,940 66,343 2,781 2,908 2,610 2,837 4.3 4.4 4.0 4.3

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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 89,688 90,831 90,255 91,015 4,074 4,082 3,915 4,047 4.5 4.5 4.3 4.4

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 138,788 140,649 138,422 140,811 6,136 5,913 6,012 5,717 4.4 4.2 4.3 4.1

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422,126 427,167 423,615 428,213 16,538 16,791 15,898 16,339 3.9 3.9 3.8 3.8

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 636,416 652,798 638,246 653,994 30,481 31,737 29,023 30,644 4.8 4.9 4.5 4.7

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,144 52,361 51,284 52,531 2,219 2,311 2,154 2,225 4.3 4.4 4.2 4.2

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022,465 1,051,165 1,026,575 1,049,575 32,855 33,999 31,462 33,306 3.2 3.2 3.1 3.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,543,364 13,844,974 13,571,881 13,840,527 608,310 582,961 604,241 556,630 4.5 4.2 4.5 4.0

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,385 76,621 75,104 76,613 3,042 2,847 3,024 2,677 4.0 3.7 4.0 3.5

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,836 133,587 130,272 133,238 4,245 4,107 4,264 3,895 3.2 3.1 3.3 2.9

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,153,005 1,191,190 1,158,322 1,186,262 37,631 38,107 38,072 36,559 3.3 3.2 3.3 3.1

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 175,114 173,749 174,177 172,695 12,100 11,055 12,020 10,901 6.9 6.4 6.9 6.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 168,018 168,336 167,165 167,002 12,547 11,656 12,093 10,977 7.5 6.9 7.2 6.6

College Station-Bryan. . . . . . . . . . . . . . . . . 123,561 129,077 124,969 129,338 4,630 4,581 4,567 4,290 3.7 3.5 3.7 3.3

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 209,834 206,849 208,422 206,068 11,927 11,301 11,778 10,699 5.7 5.5 5.7 5.2

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,788,012 3,906,318 3,815,317 3,919,474 146,833 148,332 147,106 142,401 3.9 3.8 3.9 3.6

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352,302 357,940 352,202 357,916 17,360 16,730 17,020 15,854 4.9 4.7 4.8 4.4

Houston-The Woodlands-Sugar Land. . . 3,327,807 3,411,756 3,338,158 3,416,567 170,505 157,277 168,655 150,378 5.1 4.6 5.1 4.4

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,137 178,267 175,467 177,896 7,597 7,837 7,647 7,450 4.3 4.4 4.4 4.2

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,807 115,578 115,013 115,560 5,218 4,959 4,979 4,607 4.5 4.3 4.3 4.0

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,453 96,953 97,531 96,892 5,197 4,373 5,068 4,143 5.3 4.5 5.2 4.3

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,818 164,782 161,384 165,069 5,951 5,939 5,934 5,678 3.7 3.6 3.7 3.4

McAllen-Edinburg-Mission. . . . . . . . . . . . . 343,771 346,504 336,020 341,757 27,325 24,976 26,309 23,724 7.9 7.2 7.8 6.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,657 100,082 93,349 101,167 2,891 2,419 2,844 2,263 3.2 2.4 3.0 2.2

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,761 80,175 78,897 80,502 3,274 2,533 3,182 2,361 4.2 3.2 4.0 2.9

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,976 55,286 54,801 55,142 2,168 1,966 2,124 1,861 3.9 3.6 3.9 3.4

San Antonio-New Braunfels. . . . . . . . . . . . 1,166,117 1,182,460 1,173,863 1,183,580 43,478 43,177 43,948 41,376 3.7 3.7 3.7 3.5

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,070 63,530 62,524 63,830 2,291 2,262 2,265 2,116 3.7 3.6 3.6 3.3

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,386 66,120 64,683 65,290 3,169 3,705 3,172 3,490 4.8 5.6 4.9 5.3

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,966 108,814 106,068 109,019 4,386 4,273 4,367 4,007 4.1 3.9 4.1 3.7

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,370 45,276 46,176 45,140 2,282 1,963 2,262 1,829 4.9 4.3 4.9 4.1

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,635 126,498 125,386 126,943 5,611 5,247 5,603 4,950 4.5 4.1 4.5 3.9

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,087 65,691 65,083 65,533 2,509 2,567 2,513 2,449 3.9 3.9 3.9 3.7

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,569,111 1,601,557 1,570,778 1,601,011 56,908 55,798 52,995 51,851 3.6 3.5 3.4 3.2

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,214 71,279 67,670 68,508 2,162 2,157 2,008 2,022 3.1 3.0 3.0 3.0

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 328,200 333,090 330,799 334,266 11,927 11,664 11,312 10,954 3.6 3.5 3.4 3.3

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 297,755 307,012 296,222 304,564 10,081 10,295 9,441 9,411 3.4 3.4 3.2 3.1

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 70,949 74,083 71,083 73,697 2,750 2,786 2,556 2,541 3.9 3.8 3.6 3.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 657,263 669,199 660,288 674,276 23,071 22,529 21,414 21,132 3.5 3.4 3.2 3.1

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349,061 353,081 350,175 352,240 10,786 10,501 10,730 10,271 3.1 3.0 3.1 2.9

Burlington-South Burlington. . . . . . . . . . . . 126,099 127,645 127,012 127,503 3,302 3,300 3,361 3,259 2.6 2.6 2.6 2.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,344,810 4,409,193 4,367,600 4,420,443 167,807 143,473 169,970 130,052 3.9 3.3 3.9 2.9

Blacksburg-Christiansburg-Radford. . . . . 88,902 88,956 89,070 89,041 4,014 3,293 3,958 2,905 4.5 3.7 4.4 3.3

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,526 124,144 118,253 122,809 4,347 3,823 4,323 3,348 3.6 3.1 3.7 2.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 64,809 65,862 65,108 65,792 2,762 2,319 2,667 1,989 4.3 3.5 4.1 3.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,437 124,642 123,803 124,753 5,817 4,922 5,804 4,444 4.8 3.9 4.7 3.6

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 681,150 689,437 686,030 695,297 27,041 23,561 27,553 21,785 4.0 3.4 4.0 3.1

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,321 159,466 158,036 159,010 6,354 5,359 6,448 4,692 4.0 3.4 4.1 3.0

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,345 60,467 59,409 60,562 2,237 1,897 2,229 1,664 3.8 3.1 3.8 2.7

Virginia Beach-Norfolk-Newport News. . . 859,692 867,770 867,282 872,761 36,617 30,605 37,344 28,434 4.3 3.5 4.3 3.3

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,661 73,807 72,061 73,863 2,505 2,268 2,531 2,040 3.5 3.1 3.5 2.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,736,856 3,773,212 3,756,579 3,798,646 172,147 167,628 174,245 160,875 4.6 4.4 4.6 4.2

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,489 110,721 110,677 111,772 5,500 5,149 5,521 4,903 5.0 4.7 5.0 4.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 121,064 120,807 121,030 120,348 5,758 5,506 5,828 5,175 4.8 4.6 4.8 4.3

Kennewick-Richland. . . . . . . . . . . . . . . . . . 145,454 145,242 145,171 143,327 7,002 7,037 6,958 6,649 4.8 4.8 4.8 4.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,796 45,987 45,681 45,849 2,641 2,644 2,648 2,514 5.8 5.7 5.8 5.5

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,835 59,498 60,135 60,249 3,118 3,002 3,109 2,875 5.2 5.0 5.2 4.8

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 133,227 135,334 133,048 134,635 6,405 6,356 6,579 5,985 4.8 4.7 4.9 4.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,065,347 2,097,934 2,068,263 2,116,208 87,388 84,790 89,038 81,623 4.2 4.0 4.3 3.9

Spokane-Spokane Valley. . . . . . . . . . . . . . 263,187 257,872 260,495 256,053 13,487 13,223 13,713 12,730 5.1 5.1 5.3 5.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 31,163 32,082 31,696 31,733 1,414 1,386 1,439 1,351 4.5 4.3 4.5 4.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 68,650 70,778 77,992 76,670 2,940 2,736 2,734 2,503 4.3 3.9 3.5 3.3

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,401 134,279 135,651 136,976 6,983 6,948 6,689 6,672 5.3 5.2 4.9 4.9

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 789,105 794,141 785,049 788,595 41,176 42,808 39,644 42,698 5.2 5.4 5.0 5.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,012 46,187 46,344 45,966 2,591 2,635 2,481 2,636 5.6 5.7 5.4 5.7

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 97,111 96,929 96,434 95,931 5,075 5,108 4,867 5,138 5.2 5.3 5.0 5.4

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 148,638 148,131 148,023 147,210 8,880 8,888 8,469 8,612 6.0 6.0 5.7 5.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 65,648 67,766 66,483 68,202 2,828 3,257 2,688 3,184 4.3 4.8 4.0 4.7

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 39,117 39,165 38,879 38,765 2,127 2,239 2,139 2,185 5.4 5.7 5.5 5.6

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,650 65,543 65,600 64,862 3,609 3,663 3,514 3,541 5.5 5.6 5.4 5.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,200,865 3,227,678 3,201,145 3,216,112 116,128 111,250 108,410 101,165 3.6 3.4 3.4 3.1

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,892 136,286 135,029 135,978 4,382 4,310 4,130 3,940 3.2 3.2 3.1 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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,522 94,744 94,044 94,445 3,199 2,981 2,961 2,685 3.4 3.1 3.1 2.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 58,492 59,539 58,395 59,222 1,951 1,912 1,801 1,748 3.3 3.2 3.1 3.0

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 178,696 180,394 178,287 179,305 5,900 5,780 5,546 5,254 3.3 3.2 3.1 2.9

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 86,892 87,115 87,900 87,693 3,490 3,203 3,154 2,908 4.0 3.7 3.6 3.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 78,841 79,852 78,215 79,527 2,647 2,468 2,462 2,174 3.4 3.1 3.1 2.7

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392,812 397,240 394,779 398,233 11,129 11,115 10,140 9,553 2.8 2.8 2.6 2.4

Milwaukee-Waukesha-West Allis. . . . . . . 838,877 842,170 846,244 845,749 34,202 32,495 32,767 30,490 4.1 3.9 3.9 3.6

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 94,919 95,083 96,040 95,092 3,335 3,187 3,101 2,845 3.5 3.4 3.2 3.0

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,558 101,219 102,391 101,691 4,457 4,168 4,394 4,069 4.4 4.1 4.3 4.0

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 64,731 66,039 64,941 66,158 2,051 1,988 1,874 1,710 3.2 3.0 2.9 2.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,666 77,494 75,147 76,785 2,486 2,380 2,333 2,144 3.3 3.1 3.1 2.8

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,178 289,410 297,426 289,031 12,007 11,762 11,094 10,932 4.0 4.1 3.7 3.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,307 38,370 39,364 38,628 2,013 1,796 1,874 1,684 5.1 4.7 4.8 4.4

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,665 46,716 48,512 47,378 1,778 1,856 1,647 1,727 3.7 4.0 3.4 3.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083,576 1,106,570 1,091,104 1,105,128 101,712 101,536 113,848 105,410 9.4 9.2 10.4 9.5

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 87,101 89,239 88,781 88,628 11,004 10,694 12,134 11,017 12.6 12.0 13.7 12.4

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,145 52,562 52,043 52,204 5,435 5,754 5,952 5,772 10.6 10.9 11.4 11.1

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,699 21,132 21,462 20,678 3,130 2,978 3,753 2,913 15.1 14.1 17.5 14.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,164 27,274 27,685 27,245 3,359 2,936 3,590 3,191 11.9 10.8 13.0 11.7

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,961 93,734 93,304 93,696 11,128 10,860 12,401 11,171 12.1 11.6 13.3 11.9

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,701 35,206 35,515 34,838 5,138 4,592 5,486 4,761 14.4 13.0 15.4 13.7

San Juan-Carolina-Caguas. . . . . . . . . . . . 722,675 744,278 727,605 746,174 56,344 57,878 63,808 60,822 7.8 7.8 8.8 8.2

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

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

p Preliminary

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

June July Number Percent of labor force

2017 2018 2017 2018p

June July June July

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,296,724 19,356,142 19,413,562 19,469,466 931,754 870,246 995,611 856,485 4.8 4.5 5.1 4.4

Los Angeles-Long Beach-Anaheim. . . 6,715,050 6,746,088 6,777,366 6,792,039 304,228 302,127 337,516 313,109 4.5 4.5 5.0 4.6

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,613,819 1,604,610 1,624,380 1,618,249 59,623 53,538 64,088 51,259 3.7 3.3 3.9 3.2

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,101,231 5,141,478 5,152,986 5,173,790 244,605 248,589 273,428 261,850 4.8 4.8 5.3 5.1

San Francisco-Oakland-Hayward. . . . . 2,569,554 2,563,076 2,592,172 2,596,468 89,436 77,953 95,323 73,960 3.5 3.0 3.7 2.8

Oakland-Hayward-Berkeley. . . . . . . . 1,410,970 1,407,556 1,420,577 1,421,880 54,912 47,870 58,510 45,738 3.9 3.4 4.1 3.2

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,016,623 1,015,701 1,028,969 1,031,696 30,260 26,304 32,240 24,648 3.0 2.6 3.1 2.4

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,961 139,819 142,626 142,892 4,264 3,779 4,573 3,574 3.0 2.7 3.2 2.5

District of Columbia. . . . . . . . . . . . . . . . . . . 404,318 412,394 407,291 414,525 26,479 24,509 26,933 24,833 6.5 5.9 6.6 6.0

Washington-Arlington-Alexandria2. . . . 3,416,033 3,463,185 3,438,343 3,479,908 133,569 127,733 134,363 122,258 3.9 3.7 3.9 3.5

Silver Spring-Frederick-Rockville3.. . 695,102 700,818 697,516 706,005 25,183 26,754 24,927 25,633 3.6 3.8 3.6 3.6

Washington-Arlington-Alexandria2.. . 2,720,931 2,762,367 2,740,827 2,773,903 108,386 100,979 109,436 96,625 4.0 3.7 4.0 3.5

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,127,782 10,291,445 10,164,624 10,318,381 438,687 399,312 444,483 408,440 4.3 3.9 4.4 4.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,137,923 3,174,535 3,161,908 3,175,164 140,553 124,509 142,866 128,429 4.5 3.9 4.5 4.0

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,033,144 1,048,194 1,033,963 1,047,879 41,753 38,401 42,019 38,923 4.0 3.7 4.1 3.7

Miami-Miami Beach-Kendall. . . . . . . 1,377,043 1,397,499 1,402,620 1,396,544 67,914 57,745 68,949 59,984 4.9 4.1 4.9 4.3

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 727,736 728,842 725,325 730,741 30,886 28,363 31,898 29,522 4.2 3.9 4.4 4.0

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,561,649 6,558,494 6,567,081 6,562,531 332,530 294,591 335,872 280,237 5.1 4.5 5.1 4.3

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,982,453 4,951,237 4,985,235 4,959,562 255,348 215,529 255,098 204,051 5.1 4.4 5.1 4.1

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,848,479 3,792,256 3,844,615 3,796,807 206,226 164,219 204,102 154,339 5.4 4.3 5.3 4.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 323,637 332,337 325,366 333,813 14,301 15,182 14,817 14,734 4.4 4.6 4.6 4.4

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 341,280 349,115 342,927 349,898 15,447 16,305 16,358 15,970 4.5 4.7 4.8 4.6

Lake County-Kenosha County2. . . . 469,057 477,529 472,327 479,044 19,374 19,823 19,821 19,008 4.1 4.2 4.2 4.0

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,702,764 3,857,394 3,713,111 3,893,015 148,385 150,125 148,026 153,090 4.0 3.9 4.0 3.9

Boston-Cambridge-Nashua2. . . . . . . . . 2,725,871 2,840,483 2,728,112 2,863,135 101,192 101,786 100,417 104,111 3.7 3.6 3.7 3.6

Boston-Cambridge-Newton. . . . . . . . 1,620,132 1,693,088 1,622,697 1,709,924 58,354 58,757 57,598 59,498 3.6 3.5 3.5 3.5

Brockton-Bridgewater-Easton. . . . . . 107,310 111,779 107,711 112,686 4,969 4,920 5,173 5,269 4.6 4.4 4.8 4.7

Framingham. . . . . . . . . . . . . . . . . . . . . 158,744 164,381 159,099 165,106 5,408 5,453 5,484 5,564 3.4 3.3 3.4 3.4

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 116,705 121,622 116,630 121,995 4,057 4,056 3,965 4,263 3.5 3.3 3.4 3.5

Lawrence-Methuen Town-Salem2.. . 97,675 101,681 98,205 102,434 5,148 5,197 4,910 5,196 5.3 5.1 5.0 5.1

Lowell-Billerica-Chelmsford2. . . . . . . 191,659 199,908 192,157 202,492 7,622 7,598 7,694 8,010 4.0 3.8 4.0 4.0

Lynn-Saugus-Marblehead. . . . . . . . . 85,294 89,269 85,084 89,673 3,393 3,434 3,313 3,440 4.0 3.8 3.9 3.8

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 171,895 175,453 170,245 174,743 5,109 5,119 5,141 5,427 3.0 2.9 3.0 3.1

Peabody-Salem-Beverly. . . . . . . . . . . 92,115 95,362 92,001 95,683 3,475 3,596 3,392 3,593 3.8 3.8 3.7 3.8

Taunton-Middleborough-Norton. . . . 84,342 87,940 84,283 88,399 3,657 3,656 3,747 3,851 4.3 4.2 4.4 4.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,916,534 4,954,030 4,942,077 4,950,174 219,021 213,493 268,290 239,419 4.5 4.3 5.4 4.8

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,110,396 2,128,604 2,138,047 2,137,190 86,053 92,825 107,913 107,906 4.1 4.4 5.0 5.0

Detroit-Dearborn-Livonia. . . . . . . . . . 785,411 796,540 797,808 802,046 39,184 42,909 50,652 51,087 5.0 5.4 6.3 6.4

Warren-Troy-Farmington Hills. . . . . . 1,324,986 1,332,064 1,340,239 1,335,145 46,869 49,916 57,262 56,819 3.5 3.7 4.3 4.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,794,282 9,803,502 9,858,475 9,834,720 453,016 410,500 485,742 417,771 4.6 4.2 4.9 4.2

New York-Newark-Jersey City2. . . . . . 10,199,124 10,177,398 10,273,872 10,242,743 457,107 422,209 503,462 447,618 4.5 4.1 4.9 4.4

Dutchess County-Putnam County.. . 198,692 199,493 200,654 200,063 8,702 7,788 8,868 7,563 4.4 3.9 4.4 3.8

Nassau County-Suffolk County. . . . . 1,524,456 1,527,812 1,533,274 1,527,975 64,824 57,420 69,832 59,319 4.3 3.8 4.6 3.9

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,259,714 1,242,014 1,264,257 1,251,761 58,409 55,170 64,680 61,083 4.6 4.4 5.1 4.9

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,216,262 7,208,079 7,275,687 7,262,944 325,172 301,831 360,082 319,653 4.5 4.2 4.9 4.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,475,415 6,448,404 6,514,475 6,501,697 323,923 283,168 344,024 291,781 5.0 4.4 5.3 4.5

Philadelphia-Camden-Wilmington2. . . . 3,100,032 3,110,820 3,119,420 3,139,352 150,567 134,785 163,876 144,403 4.9 4.3 5.3 4.6

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 645,335 647,148 644,521 651,542 30,265 28,257 33,992 31,996 4.7 4.4 5.3 4.9

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,083,578 1,079,972 1,091,275 1,090,480 42,894 37,719 47,091 40,068 4.0 3.5 4.3 3.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . 994,332 997,256 1,004,041 1,009,025 58,159 52,291 63,474 54,880 5.8 5.2 6.3 5.4

Wilmington3. . . . . . . . . . . . . . . . . . . . . 376,787 386,444 379,583 388,305 19,249 16,518 19,319 17,459 5.1 4.3 5.1 4.5

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,543,364 13,844,974 13,571,881 13,840,527 608,310 582,961 604,241 556,630 4.5 4.2 4.5 4.0

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,788,012 3,906,318 3,815,317 3,919,474 146,833 148,332 147,106 142,401 3.9 3.8 3.9 3.6

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,556,605 2,641,757 2,575,074 2,650,958 98,645 99,966 98,387 96,063 3.9 3.8 3.8 3.6

Fort Worth-Arlington. . . . . . . . . . . . . . 1,231,407 1,264,561 1,240,243 1,268,516 48,188 48,366 48,719 46,338 3.9 3.8 3.9 3.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,736,856 3,773,212 3,756,579 3,798,646 172,147 167,628 174,245 160,875 4.6 4.4 4.6 4.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,065,347 2,097,934 2,068,263 2,116,208 87,388 84,790 89,038 81,623 4.2 4.0 4.3 3.9

Seattle-Bellevue-Everett. . . . . . . . . . . 1,651,785 1,678,859 1,654,880 1,695,828 65,770 63,615 67,175 61,509 4.0 3.8 4.1 3.6

Tacoma-Lakewood. . . . . . . . . . . . . . . 413,562 419,075 413,383 420,380 21,618 21,175 21,863 20,114 5.2 5.1 5.3 4.8

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,026.6 2,046.1 2,007.6 2,029.8 22.2 1.1

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.7 46.7 47.4 0.7 1.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 64.0 63.9 63.6 -0.3 -0.5

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.5 540.1 529.9 537.4 7.5 1.4

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 81.8 78.4 81.3 2.9 3.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 55.4 54.2 54.9 0.7 1.3

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.7 58.2 58.5 0.3 0.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 56.9 56.0 56.4 0.4 0.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.2 38.5 37.6 38.2 0.6 1.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.6 238.4 231.0 238.4 7.4 3.2

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.3 186.2 183.0 184.3 1.3 0.7

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.4 179.6 176.4 178.5 2.1 1.2

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.9 106.5 106.0 105.2 -0.8 -0.8

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349.1 347.1 353.4 352.5 -0.9 -0.3

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.6 182.7 180.6 180.7 0.1 0.1

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 38.4 38.4 38.3 -0.1 -0.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,723.5 2,792.5 2,702.6 2,775.0 72.4 2.7

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.8 68.4 66.9 68.3 1.4 2.1

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 51.4 49.3 51.3 2.0 4.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,999.2 2,057.0 1,985.6 2,046.9 61.3 3.1

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 64.9 62.9 64.3 1.4 2.2

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 33.0 32.0 32.1 0.1 0.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367.4 374.8 364.9 372.3 7.4 2.0

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 52.8 51.4 52.6 1.2 2.3

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,240.5 1,250.9 1,223.2 1,237.9 14.7 1.2

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.0 258.5 248.7 255.5 6.8 2.7

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.7 112.8 110.2 110.4 0.2 0.2

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 38.6 38.1 38.0 -0.1 -0.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 58.5 56.6 57.9 1.3 2.3

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.6 364.9 355.7 362.4 6.7 1.9

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.6 32.6 32.0 32.1 0.1 0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,865.0 17,178.0 16,721.3 17,052.6 331.3 2.0

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.2 262.9 253.0 257.0 4.0 1.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.3 83.8 80.5 82.8 2.3 2.9

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.5 50.7 51.6 0.9 1.8

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346.2 356.2 341.4 351.3 9.9 2.9

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.9 40.0 40.0 0.0 0.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,049.2 6,130.8 6,008.6 6,073.2 64.6 1.1

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 39.1 37.4 38.6 1.2 3.2

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 69.9 64.2 67.5 3.3 5.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.4 177.8 174.7 178.5 3.8 2.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 73.6 72.8 73.1 0.3 0.4

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.5 309.9 301.8 304.6 2.8 0.9

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 68.6 65.6 67.3 1.7 2.6

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,445.8 1,494.0 1,432.5 1,480.8 48.3 3.4

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 971.3 990.2 971.1 985.7 14.6 1.5

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.9 143.8 138.6 142.2 3.6 2.6

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,460.7 1,486.1 1,450.5 1,471.7 21.2 1.5

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,404.9 2,439.6 2,395.5 2,434.9 39.4 1.6

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103.0 1,138.4 1,100.4 1,131.4 31.0 2.8

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 119.5 121.3 115.7 117.8 2.1 1.8

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.5 108.0 102.8 104.6 1.8 1.8

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.6 186.3 181.0 182.2 1.2 0.7

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.1 211.7 204.7 208.9 4.2 2.1

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.9 241.4 232.9 240.5 7.6 3.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.4 139.8 137.6 138.2 0.6 0.4

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.6 129.3 123.3 126.4 3.1 2.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.3 43.0 43.3 0.3 0.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,676.7 2,757.9 2,669.8 2,751.5 81.7 3.1

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.4 191.1 186.7 190.4 3.7 2.0

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289.3 299.7 287.5 300.1 12.6 4.4

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,475.4 1,521.7 1,470.4 1,517.2 46.8 3.2

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.9 172.4 166.4 172.4 6.0 3.6

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.8 64.5 62.7 64.1 1.4 2.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.8 108.5 102.5 108.0 5.5 5.4

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.4 61.7 62.3 0.6 1.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,706.8 1,722.6 1,676.9 1,701.2 24.3 1.4

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.8 418.0 412.0 416.2 4.2 1.0

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 80.4 78.2 79.2 1.0 1.3

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.1 586.2 566.3 577.3 11.0 1.9

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.9 290.2 281.1 285.3 4.2 1.5

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133.6 134.5 132.1 133.5 1.4 1.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 67.6 66.7 66.5 -0.2 -0.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460.7 467.4 460.1 469.3 9.2 2.0

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.6 71.0 68.2 70.1 1.9 2.8

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.4 167.4 173.3 169.4 -3.9 -2.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786.4 793.9 795.2 802.6 7.4 0.9

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.3 3,357.3 3,283.1 3,360.2 77.1 2.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,497.2 8,695.9 8,455.9 8,679.6 223.7 2.6

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.2 261.9 257.2 261.4 4.2 1.6

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.1 121.1 115.8 121.5 5.7 4.9

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.1 203.0 198.2 202.5 4.3 2.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.0 140.0 138.4 140.9 2.5 1.8

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 33.4 32.2 32.4 0.2 0.6

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685.8 709.6 685.9 708.0 22.1 3.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.2 223.5 216.3 222.0 5.7 2.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,613.8 2,649.7 2,595.2 2,641.0 45.8 1.8

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.5 141.1 140.9 139.9 -1.0 -0.7

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.9 304.3 295.7 304.1 8.4 2.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.8 103.8 101.1 103.9 2.8 2.8

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,238.5 1,285.3 1,234.6 1,288.1 53.5 4.3

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.2 216.2 213.6 217.4 3.8 1.8

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 88.6 85.3 88.5 3.2 3.8

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.2 179.1 175.7 179.2 3.5 2.0

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.1 146.8 143.0 145.0 2.0 1.4

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.4 48.2 46.8 47.7 0.9 1.9

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 51.8 50.4 51.1 0.7 1.4

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 24.6 24.6 24.2 -0.4 -1.6

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.9 179.5 175.6 178.4 2.8 1.6

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,312.0 1,341.8 1,307.6 1,337.5 29.9 2.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 28.3 27.4 27.8 0.4 1.5

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,461.0 4,541.2 4,428.1 4,521.2 93.1 2.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.1 61.7 62.8 1.1 1.8

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.6 99.1 95.9 99.2 3.3 3.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,731.3 2,782.2 2,714.6 2,771.6 57.0 2.1

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.8 242.2 232.5 240.2 7.7 3.3

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.1 44.6 44.8 0.2 0.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.9 122.2 120.1 122.1 2.0 1.7

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 68.3 67.1 68.4 1.3 1.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.7 93.7 89.8 93.5 3.7 4.1

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.9 20.5 20.0 20.5 0.5 2.5

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.4 103.8 102.1 102.9 0.8 0.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 41.6 40.7 41.4 0.7 1.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.0 180.6 179.5 178.3 -1.2 -0.7

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.9 55.2 56.9 1.7 3.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.4 75.3 73.2 74.1 0.9 1.2

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.5 662.8 643.6 655.5 11.9 1.8

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 78.1 76.2 78.5 2.3 3.0

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 475.2 483.8 467.6 476.0 8.4 1.8

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 725.9 748.3 722.1 746.4 24.3 3.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.8 330.0 317.1 329.4 12.3 3.9

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 68.1 65.7 68.2 2.5 3.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 68.5 66.1 67.9 1.8 2.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.3 30.1 29.1 29.6 0.5 1.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 37.5 35.8 37.1 1.3 3.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,122.2 6,180.2 6,075.4 6,151.3 75.9 1.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.1 92.8 92.2 91.9 -0.3 -0.3

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.3 55.0 56.6 56.2 -0.4 -0.7

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.5 108.6 106.4 108.0 1.6 1.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,757.4 4,800.9 4,722.5 4,782.1 59.6 1.3

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 28.2 28.1 28.0 -0.1 -0.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.7 187.9 186.1 186.7 0.6 0.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 52.2 50.9 51.6 0.7 1.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 49.0 46.0 48.7 2.7 5.9

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.0 173.5 171.5 172.0 0.5 0.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.7 153.5 151.1 152.1 1.0 0.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.4 114.0 113.1 113.1 0.0 0.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,114.1 3,129.4 3,063.8 3,101.6 37.8 1.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 69.2 71.4 67.2 -4.2 -5.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.9 52.0 54.0 2.0 3.8

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.0 146.4 136.8 144.5 7.7 5.6

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.4 164.0 159.2 163.2 4.0 2.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.0 225.9 219.0 226.0 7.0 3.2

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,064.0 1,079.9 1,051.8 1,074.3 22.5 2.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 43.6 41.1 43.7 2.6 6.3

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.2 102.3 98.5 102.0 3.5 3.6

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 41.2 41.3 40.9 -0.4 -1.0

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.7 49.5 51.2 1.7 3.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.2 140.4 137.6 138.7 1.1 0.8

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.2 70.4 69.1 69.2 0.1 0.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,588.0 1,612.8 1,564.7 1,590.1 25.4 1.6

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 50.7 48.9 49.9 1.0 2.0

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.4 147.4 143.7 145.0 1.3 0.9

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369.5 383.0 366.4 377.8 11.4 3.1

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 60.1 59.1 58.9 -0.2 -0.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.1 101.7 99.5 100.0 0.5 0.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.0 89.0 86.2 87.8 1.6 1.9

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.1 90.1 88.9 89.1 0.2 0.2

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,399.6 1,429.7 1,385.9 1,410.8 24.9 1.8

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 49.7 49.1 49.3 0.2 0.4

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 39.5 38.8 39.1 0.3 0.8

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.8 112.0 111.4 110.6 -0.8 -0.7

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294.9 297.7 290.6 295.2 4.6 1.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,931.1 1,942.4 1,911.0 1,929.1 18.1 0.9

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 78.0 73.7 75.8 2.1 2.8

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 57.7 56.8 57.7 0.9 1.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.0 282.1 274.6 278.7 4.1 1.5

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.2 675.4 666.2 671.6 5.4 0.8

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.8 54.2 54.6 0.4 0.7

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,973.9 1,994.5 1,954.2 1,980.2 26.0 1.3

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 62.3 61.8 62.1 0.3 0.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405.6 414.5 402.0 410.4 8.4 2.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.7 45.3 46.4 1.1 2.4

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.9 86.0 85.7 86.0 0.3 0.4

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.0 201.3 201.0 200.5 -0.5 -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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.7 120.2 117.2 119.6 2.4 2.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 78.8 77.6 78.5 0.9 1.2

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.9 581.6 568.5 578.2 9.7 1.7

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.1 180.8 179.0 179.9 0.9 0.5

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640.1 647.2 640.0 649.4 9.4 1.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.8 66.6 65.6 65.9 0.3 0.5

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 51.4 50.2 50.7 0.5 1.0

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.7 216.5 213.4 217.4 4.0 1.9

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,753.6 2,779.3 2,733.3 2,761.7 28.4 1.0

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,407.8 1,433.8 1,403.1 1,419.1 16.0 1.1

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.0 44.8 45.7 0.9 2.0

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 39.4 38.7 39.1 0.4 1.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.0 107.0 104.7 107.1 2.4 2.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,665.1 3,733.7 3,643.0 3,721.6 78.6 2.2

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.1 117.6 122.6 123.4 0.8 0.7

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,771.4 2,824.4 2,750.8 2,813.0 62.2 2.3

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 53.8 52.6 53.2 0.6 1.1

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 69.3 68.0 68.7 0.7 1.0

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 43.8 44.0 44.3 0.3 0.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337.2 342.1 331.6 336.4 4.8 1.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.8 295.7 283.5 290.5 7.0 2.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,429.0 4,493.7 4,344.1 4,421.9 77.8 1.8

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216.7 219.7 213.9 218.0 4.1 1.9

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 59.3 58.3 58.1 -0.2 -0.3

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.7 35.9 35.3 35.6 0.3 0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,034.6 2,054.1 1,995.3 2,023.3 28.0 1.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 143.7 139.8 139.8 0.0 0.0

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559.8 570.7 548.3 560.2 11.9 2.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.5 58.8 57.2 57.1 -0.1 -0.2

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.8 150.0 144.8 148.1 3.3 2.3

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230.9 234.3 226.4 231.3 4.9 2.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.9 38.0 37.5 37.4 -0.1 -0.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 43.2 41.1 42.1 1.0 2.4

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 66.0 65.3 65.9 0.6 0.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 64.2 63.5 63.3 -0.2 -0.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.5 89.2 87.1 87.3 0.2 0.2

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,969.8 3,018.6 2,947.7 3,007.4 59.7 2.0

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.3 139.0 136.0 137.8 1.8 1.3

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 59.5 55.2 59.1 3.9 7.1

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,009.0 2,050.6 1,998.9 2,043.0 44.1 2.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.7 122.9 122.0 122.4 0.4 0.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.0 111.9 108.8 111.1 2.3 2.1

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,147.7 1,166.0 1,135.7 1,152.9 17.2 1.5

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.2 155.8 155.5 156.2 0.7 0.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 64.8 63.1 64.6 1.5 2.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.1 285.3 276.6 281.5 4.9 1.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,897.4 2,932.5 2,849.3 2,882.7 33.4 1.2

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 45.6 42.5 43.6 1.1 2.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.7 97.5 96.2 96.8 0.6 0.6

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 77.6 76.4 76.8 0.4 0.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 81.3 78.9 79.9 1.0 1.3

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088.3 1,115.0 1,079.9 1,101.4 21.5 2.0

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 65.5 63.8 64.6 0.8 1.3

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,392.6 1,408.0 1,369.4 1,383.9 14.5 1.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212.6 214.0 209.7 210.3 0.6 0.3

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481.6 487.5 479.1 486.4 7.3 1.5

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 86.8 85.1 85.9 0.8 0.9

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 36.8 35.0 35.6 0.6 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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 62.7 60.0 61.2 1.2 2.0

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026.0 1,041.5 1,013.9 1,033.2 19.3 1.9

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 43.1 42.3 42.6 0.3 0.7

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.2 189.9 185.4 189.6 4.2 2.3

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504.1 511.9 498.7 510.0 11.3 2.3

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,342.3 1,382.6 1,337.9 1,387.7 49.8 3.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.3 31.2 30.3 31.2 0.9 3.0

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 974.1 1,002.8 971.1 1,008.7 37.6 3.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.2 240.2 230.8 239.3 8.5 3.7

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 684.0 698.8 678.6 694.0 15.4 2.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 54.1 52.2 54.0 1.8 3.4

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.8 114.8 112.2 112.9 0.7 0.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.4 97.8 96.9 98.1 1.2 1.2

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,219.8 4,275.2 4,141.5 4,235.9 94.4 2.3

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.4 133.9 130.3 140.5 10.2 7.8

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 53.4 58.5 56.8 -1.7 -2.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270.8 277.6 265.3 276.1 10.8 4.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.8 60.4 56.7 58.6 1.9 3.4

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825.6 843.5 818.6 836.5 17.9 2.2

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.5 397.2 386.9 395.5 8.6 2.2

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 49.4 48.0 48.3 0.3 0.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.7 68.5 68.0 67.3 -0.7 -1.0

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.7 64.6 64.0 65.0 1.0 1.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,606.7 9,737.8 9,535.3 9,692.1 156.8 1.6

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472.3 475.9 465.3 467.9 2.6 0.6

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2 104.8 102.0 102.7 0.7 0.7

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 567.2 576.4 562.4 569.3 6.9 1.2

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.4 37.0 36.4 36.4 0.0 0.0

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 60.2 59.6 60.6 1.0 1.7

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 64.6 61.2 63.4 2.2 3.6

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 64.5 62.0 63.2 1.2 1.9

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,789.8 9,905.8 9,698.6 9,841.6 143.0 1.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.0 546.9 528.4 538.2 9.8 1.9

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319.0 322.1 315.0 319.2 4.2 1.3

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.0 129.4 129.0 129.0 0.0 0.0

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.8 44.1 43.9 43.9 0.0 0.0

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,437.3 4,539.7 4,362.1 4,473.1 111.0 2.5

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.7 195.5 188.3 192.5 4.2 2.2

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 61.5 60.2 60.7 0.5 0.8

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,184.9 1,217.2 1,167.0 1,197.8 30.8 2.6

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.6 317.8 308.2 315.1 6.9 2.2

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.2 131.8 125.6 128.1 2.5 2.0

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.0 40.7 40.4 -0.3 -0.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.9 363.9 351.7 358.2 6.5 1.8

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.5 80.6 77.8 79.5 1.7 2.2

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.1 155.9 150.3 153.0 2.7 1.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 49.9 46.8 47.2 0.4 0.9

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 45.7 44.5 45.1 0.6 1.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 618.0 639.0 615.4 639.2 23.8 3.9

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 54.8 54.6 54.1 -0.5 -0.9

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.1 128.7 125.3 127.6 2.3 1.8

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.3 268.6 259.3 263.8 4.5 1.7

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437.1 438.0 430.8 434.7 3.9 0.9

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.5 74.3 73.2 73.2 0.0 0.0

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 142.9 140.1 142.0 1.9 1.4

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 57.0 54.5 55.2 0.7 1.3

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,567.5 5,665.0 5,542.7 5,648.1 105.4 1.9

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Ohio - Continued

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.8 343.9 338.0 344.0 6.0 1.8

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.4 175.7 173.2 175.4 2.2 1.3

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,104.5 1,118.7 1,095.6 1,115.6 20.0 1.8

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,072.3 1,092.5 1,065.6 1,092.7 27.1 2.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,089.5 1,103.4 1,088.2 1,101.2 13.0 1.2

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387.8 389.4 389.2 388.5 -0.7 -0.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.0 54.2 53.4 54.0 0.6 1.1

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 53.6 52.4 53.0 0.6 1.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 50.9 49.1 50.0 0.9 1.8

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.9 311.9 304.1 309.2 5.1 1.7

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.4 41.3 41.2 -0.1 -0.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.1 220.8 218.5 218.3 -0.2 -0.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,660.6 1,692.5 1,647.4 1,677.7 30.3 1.8

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.9 25.9 25.7 26.0 0.3 1.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.3 45.0 45.4 0.4 0.9

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633.3 651.3 629.0 646.3 17.3 2.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448.9 460.2 445.4 458.9 13.5 3.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,891.4 1,936.5 1,866.9 1,919.9 53.0 2.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 46.7 44.0 45.9 1.9 4.3

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.0 86.4 83.0 86.5 3.5 4.2

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 44.6 40.1 41.1 1.0 2.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.2 165.4 155.9 161.1 5.2 3.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.7 27.3 25.7 26.6 0.9 3.5

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.5 90.2 85.9 88.3 2.4 2.8

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,179.4 1,206.6 1,172.6 1,202.5 29.9 2.5

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.4 167.5 161.6 165.0 3.4 2.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,962.2 6,062.3 5,918.9 6,018.1 99.2 1.7

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372.7 380.4 366.7 376.8 10.1 2.8

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 62.6 61.7 62.1 0.4 0.6

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 42.0 41.8 41.7 -0.1 -0.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 61.6 59.4 60.8 1.4 2.4

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 59.4 59.5 59.4 -0.1 -0.2

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.4 128.9 125.9 128.3 2.4 1.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.8 35.9 34.7 35.8 1.1 3.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345.3 349.3 344.3 350.1 5.8 1.7

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.8 54.2 55.1 0.9 1.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.6 258.1 253.3 257.5 4.2 1.7

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 52.8 51.7 52.0 0.3 0.6

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,923.2 2,975.9 2,893.4 2,954.9 61.5 2.1

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,181.6 1,197.7 1,174.1 1,188.7 14.6 1.2

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.3 180.7 175.4 179.5 4.1 2.3

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.1 269.4 260.6 268.7 8.1 3.1

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 75.7 75.3 75.5 0.2 0.3

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 53.2 52.9 52.0 -0.9 -1.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.4 188.0 183.8 186.9 3.1 1.7

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502.4 511.4 496.4 509.1 12.7 2.6

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 598.0 607.2 589.5 602.4 12.9 2.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,109.2 2,145.7 2,093.5 2,132.2 38.7 1.8

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.6 363.6 356.1 361.8 5.7 1.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 400.1 397.1 401.1 4.0 1.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.3 89.7 87.1 89.1 2.0 2.3

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416.0 425.4 412.2 418.8 6.6 1.6

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.4 83.6 81.3 83.7 2.4 3.0

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.0 182.4 175.9 181.5 5.6 3.2

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.4 156.3 151.3 154.9 3.6 2.4

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.8 39.1 39.7 0.6 1.5

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444.4 453.0 438.3 447.7 9.4 2.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.6 73.8 71.5 72.6 1.1 1.5

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

South Dakota - Continued

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.2 160.1 157.0 159.1 2.1 1.3

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,993.8 3,052.1 2,982.9 3,043.9 61.0 2.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.3 264.8 254.7 263.5 8.8 3.5

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.7 89.5 88.0 89.0 1.0 1.1

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.3 45.8 46.5 0.7 1.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 69.8 68.3 69.7 1.4 2.0

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 78.0 77.9 77.9 0.0 0.0

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.2 122.2 119.7 121.8 2.1 1.8

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392.3 395.0 391.5 394.9 3.4 0.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 638.1 652.3 636.1 650.4 14.3 2.2

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 46.0 44.8 46.0 1.2 2.7

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 975.9 998.7 973.9 993.2 19.3 2.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,275.6 12,625.3 12,173.8 12,558.5 384.7 3.2

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 70.0 67.5 69.4 1.9 2.8

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.3 122.3 117.9 121.2 3.3 2.8

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,038.4 1,073.6 1,029.8 1,059.8 30.0 2.9

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.2 164.4 162.0 162.0 0.0 0.0

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 143.9 141.2 141.9 0.7 0.5

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.2 116.7 111.8 116.5 4.7 4.2

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195.2 192.3 191.5 190.1 -1.4 -0.7

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,606.8 3,720.4 3,585.8 3,704.0 118.2 3.3

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.8 316.4 307.0 314.1 7.1 2.3

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,038.8 3,131.6 3,011.3 3,113.1 101.8 3.4

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 146.3 142.3 144.8 2.5 1.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 104.7 102.9 104.1 1.2 1.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.9 97.0 95.9 96.3 0.4 0.4

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.2 151.4 146.4 150.8 4.4 3.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.9 263.2 251.1 258.0 6.9 2.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.5 103.6 94.5 104.0 9.5 10.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.2 75.4 73.4 75.1 1.7 2.3

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.2 49.7 48.6 49.3 0.7 1.4

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,044.2 1,058.3 1,037.7 1,051.0 13.3 1.3

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 48.0 47.2 48.2 1.0 2.1

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 61.1 58.6 59.2 0.6 1.0

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.1 108.1 103.9 107.6 3.7 3.6

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 40.5 41.0 40.2 -0.8 -2.0

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.8 122.9 119.7 122.6 2.9 2.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 59.7 58.7 59.1 0.4 0.7

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473.8 1,523.0 1,453.6 1,510.7 57.1 3.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 63.0 58.2 60.1 1.9 3.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.6 262.4 255.0 261.5 6.5 2.5

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247.4 257.6 241.8 253.0 11.2 4.6

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 67.3 62.9 66.3 3.4 5.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 719.0 737.5 711.4 737.3 25.9 3.6

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.0 316.5 310.2 309.4 -0.8 -0.3

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.7 124.4 124.0 122.3 -1.7 -1.4

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,987.6 4,049.6 3,958.3 4,034.7 76.4 1.9

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 74.9 74.1 74.4 0.3 0.4

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.0 121.1 114.6 119.4 4.8 4.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 67.0 65.6 66.4 0.8 1.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 105.4 103.5 104.7 1.2 1.2

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677.7 683.1 673.0 683.7 10.7 1.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.4 162.3 158.9 160.9 2.0 1.3

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.2 49.6 50.8 1.2 2.4

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.7 797.8 787.1 795.2 8.1 1.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.7 65.7 63.3 65.2 1.9 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,355.8 3,446.0 3,343.3 3,448.8 105.5 3.2

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.2 96.7 90.9 94.5 3.6 4.0

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.1 93.8 91.6 93.4 1.8 2.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.9 117.6 114.5 117.3 2.8 2.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 41.3 40.0 41.2 1.2 3.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.8 50.7 52.2 1.5 3.0

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.8 120.5 115.1 119.7 4.6 4.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,014.5 2,075.3 2,011.1 2,087.3 76.2 3.8

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.2 247.7 244.6 245.8 1.2 0.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.0 29.4 27.1 28.3 1.2 4.4

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 48.1 46.7 48.3 1.6 3.4

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.1 91.5 87.4 90.3 2.9 3.3

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 743.1 754.2 736.9 747.7 10.8 1.5

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 45.7 45.5 45.3 -0.2 -0.4

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 118.0 116.6 116.3 -0.3 -0.3

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.3 137.3 136.4 136.3 -0.1 -0.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 70.6 69.1 71.1 2.0 2.9

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 40.3 39.5 39.7 0.2 0.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 67.0 66.5 66.3 -0.2 -0.3

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,983.0 3,015.5 2,965.6 3,009.5 43.9 1.5

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.7 129.6 126.0 128.7 2.7 2.1

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.4 87.8 86.2 87.2 1.0 1.2

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.5 48.3 49.2 0.9 1.9

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.5 183.1 179.2 181.4 2.2 1.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.9 70.3 70.2 70.5 0.3 0.4

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.0 80.5 77.4 79.7 2.3 3.0

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.7 408.1 401.6 408.5 6.9 1.7

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 874.9 882.6 869.5 880.2 10.7 1.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.4 98.4 98.7 98.0 -0.7 -0.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.0 78.8 79.0 0.2 0.3

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 65.7 64.0 65.9 1.9 3.0

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 74.9 72.2 74.3 2.1 2.9

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289.0 296.1 288.3 296.6 8.3 2.9

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.5 38.6 39.4 0.8 2.1

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.1 47.2 47.7 0.5 1.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881.9 851.7 861.6 841.5 -20.1 -2.3

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.3 50.2 49.7 -0.5 -1.0

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.1 33.3 32.1 -1.2 -3.6

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.4 14.1 14.3 13.7 -0.6 -4.2

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 30.2 31.5 29.7 -1.8 -5.7

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 66.9 66.8 65.8 -1.0 -1.5

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.4 18.9 18.5 18.1 -0.4 -2.2

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.2 621.5 623.0 616.0 -7.0 -1.1

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 36.1 38.0 36.2 -1.8 -4.7

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

June July Change from

July 2017 to July 2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,865.0 17,178.0 16,721.3 17,052.6 331.3 2.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,049.2 6,130.8 6,008.6 6,073.2 64.6 1.1

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,620.4 1,635.6 1,609.5 1,625.5 16.0 1.0

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,428.8 4,495.2 4,399.1 4,447.7 48.6 1.1

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,404.9 2,439.6 2,395.5 2,434.9 39.4 1.6

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,168.9 1,186.7 1,160.1 1,179.4 19.3 1.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,118.1 1,135.8 1,118.8 1,137.4 18.6 1.7

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 117.1 116.6 118.1 1.5 1.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786.4 793.9 795.2 802.6 7.4 0.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.3 3,357.3 3,283.1 3,360.2 77.1 2.3

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 600.8 609.5 591.8 606.4 14.6 2.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,699.5 2,747.8 2,691.3 2,753.8 62.5 2.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,497.2 8,695.9 8,455.9 8,679.6 223.7 2.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,613.8 2,649.7 2,595.2 2,641.0 45.8 1.8

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 832.4 848.6 828.3 842.1 13.8 1.7

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,166.7 1,182.6 1,157.3 1,181.6 24.3 2.1

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 614.7 618.5 609.6 617.3 7.7 1.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,122.2 6,180.2 6,075.4 6,151.3 75.9 1.2

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,757.4 4,800.9 4,722.5 4,782.1 59.6 1.3

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,786.6 3,824.4 3,765.5 3,812.0 46.5 1.2

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.0 264.4 258.0 263.1 5.1 2.0

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.6 280.6 273.4 278.0 4.6 1.7

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431.2 431.5 425.6 429.0 3.4 0.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,665.1 3,733.7 3,643.0 3,721.6 78.6 2.2

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,771.4 2,824.4 2,750.8 2,813.0 62.2 2.3

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,864.9 1,905.6 1,854.4 1,903.9 49.5 2.7

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 82.3 80.3 81.2 0.9 1.1

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.1 176.4 174.4 174.2 -0.2 -0.1

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.3 71.3 68.2 69.9 1.7 2.5

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.2 85.8 84.9 85.7 0.8 0.9

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.8 163.0 158.8 163.4 4.6 2.9

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 48.1 45.8 47.8 2.0 4.4

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.8 131.5 127.1 128.5 1.4 1.1

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.7 97.7 96.5 96.7 0.2 0.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.3 62.7 60.4 61.7 1.3 2.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,429.0 4,493.7 4,344.1 4,421.9 77.8 1.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,034.6 2,054.1 1,995.3 2,023.3 28.0 1.4

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 763.4 775.6 746.5 764.1 17.6 2.4

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,271.2 1,278.5 1,248.8 1,259.2 10.4 0.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,606.7 9,737.8 9,535.3 9,692.1 156.8 1.6

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,789.8 9,905.8 9,698.6 9,841.6 143.0 1.5

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.5 150.8 148.3 149.7 1.4 0.9

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,370.9 1,386.1 1,356.3 1,368.8 12.5 0.9

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,232.9 1,236.0 1,212.8 1,220.9 8.1 0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,037.5 7,132.9 6,981.2 7,102.2 121.0 1.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,962.2 6,062.3 5,918.9 6,018.1 99.2 1.7

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,923.2 2,975.9 2,893.4 2,954.9 61.5 2.1

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551.8 562.2 536.9 552.9 16.0 3.0

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,078.0 1,089.7 1,069.3 1,082.2 12.9 1.2

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 935.5 957.5 930.1 954.7 24.6 2.6

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.9 366.5 357.1 365.1 8.0 2.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,275.6 12,625.3 12,173.8 12,558.5 384.7 3.2

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,606.8 3,720.4 3,585.8 3,704.0 118.2 3.3

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,572.7 2,660.2 2,558.9 2,648.5 89.6 3.5

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,034.1 1,060.2 1,026.9 1,055.5 28.6 2.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,355.8 3,446.0 3,343.3 3,448.8 105.5 3.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,014.5 2,075.3 2,011.1 2,087.3 76.2 3.8

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,701.2 1,749.6 1,699.2 1,760.0 60.8 3.6

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.3 325.7 311.9 327.3 15.4 4.9

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

July 2018

(U.S. rate = 4.1 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, July 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.