For release 10:00 a.m. (EDT) Wednesday, June 27, 2018 USDL-18-1057 

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 — MAY 2018

Unemployment rates were lower in May than a year earlier in 350 of the 388 metropolitan areas, higher 

in 20 areas, and unchanged in 18 areas, the U.S. Bureau of Labor Statistics reported today. Ninety-six 

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

payroll employment increased over the year in 332 metropolitan areas, decreased in 52 areas, and was 

unchanged in 4 areas. The national unemployment rate in May was 3.6 percent, not seasonally adjusted, 

down from 4.1 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In May, Ames, IA, had the lowest unemployment rate, 1.5 percent. Yuma, AZ, had the highest 

unemployment rate, 16.0 percent. A total of 191 areas had May jobless rates below the U.S. rate of 3.6 

percent, 175 areas had rates above it, and 22 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 May (-2.2 percentage 

points). An additional 52 areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Morgantown, WV (+0.8 percentage point). 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Denver-AuroraLakewood, CO; Minneapolis-St. Paul-Bloomington, MN-WI; Nashville-Davidson—Murfreesboro—

Franklin, TN; and San Jose-Sunnyvale-Santa Clara, CA, had the lowest unemployment rates in May, 

2.3 percent each. Cleveland-Elyria, OH, had the highest jobless rate among the large areas, 4.9 percent. 

Forty-eight large areas had over-the-year unemployment rate decreases, one had an increase, and two 

had no change. The largest rate decrease occurred in Pittsburgh, PA (-1.3 percentage points). The lone 

rate increase occurred in Detroit-Warren-Dearborn, MI (+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 May, San Francisco-Redwood City-South 

San Francisco, CA, and San Rafael, CA, had the lowest unemployment rates among the divisions, 2.0 

percent each. Tacoma-Lakewood, WA, had the highest division rate, 5.2 percent. (See table 2.) 
- 2 - 

In May, 33 metropolitan divisions had over-the-year unemployment rate decreases, 3 had increases, 

and 2 had no change. The largest rate declines occurred in Chicago-Naperville-Arlington Heights, IL, 

and Philadelphia, PA (-1.2 percentage points each). None of the over-the-year jobless rate increases 

exceeded 0.4 percentage point. 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In May, 332 metropolitan areas had over-the-year increases in nonfarm payroll employment, 52 had 

decreases, and 4 had no change. The largest over-the-year employment increases occurred in Dallas-Fort 

Worth-Arlington, TX (+122,000), New York-Newark-Jersey City, NY-NJ-PA (+116,200), and Los 

Angeles-Long Beach-Anaheim, CA (+81,200). The largest over-the-year percentage gains in 

employment occurred in Midland, TX (+11.3 percent), Ocean City, NJ (+7.4 percent), and LafayetteWest Lafayette, IN (+7.0 percent). (See table 3 and map 2.) 

The largest over-the-year decrease in employment occurred in Youngstown-Warren-Boardman, OH-PA 

(-2,500), followed by Naples-Immokalee-Marco Island, FL (-2,400), and Corpus Christi, TX (-1,800). 

The largest over-the-year percentage decrease in employment occurred in Victoria, TX (-2.4 percent), 

followed by Enid, OK, and Sebring, FL (-2.3 percent each). 

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

of 1 million or more. The largest over-the-year percentage increases in employment in these large 

metropolitan areas occurred in Orlando-Kissimmee-Sanford, FL (+3.5 percent), Dallas-Fort WorthArlington, TX (+3.4 percent), and Austin-Round Rock, TX, and Seattle-Tacoma-Bellevue, WA (+3.3 

percent each). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In May, nonfarm payroll employment increased in 37 of the 38 metropolitan divisions over the year and 

fell in Gary, IN (-200). The largest over-the-year increase in employment among the metropolitan 

divisions occurred in New York-Jersey City-White Plains, NY-NJ (+97,900), followed by Dallas-PlanoIrving, TX (+90,700), and Los Angeles-Long Beach-Glendale, CA (+63,900). (See table 4.) 

The largest over-the-year percentage increase occurred in Tacoma-Lakewood, WA (+3.8 percent), 

followed by Dallas-Plano-Irving, TX, and Lynn-Saugus-Marblehead, MA (+3.5 percent each). The overthe-year percentage decrease occurred in Gary, IN (-0.1 percent). 

_____________ 

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

on Friday, July 20, 2018, at 10:00 a.m. (EDT). The Metropolitan Area Employment and 

Unemployment news release for June is scheduled to be released on Wednesday, August 1, 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.

Reliability of the estimates

The estimates presented in this release are based on 

sample surveys, administrative data, and modeling and, thus, 

are subject to sampling and other types of errors. Sampling 

error is a measure of sampling variability—that is, variation 

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding.

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

www.bls.gov/lau/lastderr.htm. Measures of nonsampling error 

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

is available online at www.bls.gov/lau/launews1.htm.

Employment estimates. Measures of sampling error for 

the total 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 

down to the supersector level are available on the BLS website 

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

nonsampling error are not available for the areas contained in 

this news release. 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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,171,702 2,193,308 2,163,796 2,194,378 89,137 76,151 86,255 81,749 4.1 3.5 4.0 3.7

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,804 46,226 45,431 46,203 2,126 1,925 2,057 2,077 4.6 4.2 4.5 4.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,562 74,832 72,762 74,565 2,640 2,319 2,613 2,537 3.6 3.1 3.6 3.4

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 535,051 541,806 534,010 542,295 20,429 17,075 19,728 18,229 3.8 3.2 3.7 3.4

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 91,865 94,607 92,153 95,471 3,341 2,906 3,216 3,087 3.6 3.1 3.5 3.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,304 69,311 68,437 69,713 2,771 2,323 2,655 2,476 4.1 3.4 3.9 3.6

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,816 62,401 61,658 62,391 2,495 2,240 2,451 2,398 4.0 3.6 4.0 3.8

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,482 65,342 65,025 65,522 2,965 2,498 2,805 2,646 4.5 3.8 4.3 4.0

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,074 43,349 43,026 43,530 1,865 1,572 1,792 1,679 4.3 3.6 4.2 3.9

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,613 221,779 215,730 220,353 7,825 6,736 7,660 7,186 3.6 3.0 3.6 3.3

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,653 188,708 185,607 188,320 9,118 7,947 8,793 8,281 4.9 4.2 4.7 4.4

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,993 172,700 172,609 172,806 6,619 5,952 6,409 6,299 3.8 3.4 3.7 3.6

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 113,002 115,286 111,959 115,528 4,456 3,721 4,429 4,555 3.9 3.2 4.0 3.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358,437 357,994 363,941 361,038 26,236 26,934 25,680 25,103 7.3 7.5 7.1 7.0

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 201,566 200,501 203,335 201,138 13,539 13,793 13,343 12,893 6.7 6.9 6.6 6.4

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,376 46,080 47,473 46,903 2,932 3,177 2,935 2,943 6.3 6.9 6.2 6.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,293,061 3,373,474 3,288,898 3,362,129 153,625 147,390 153,047 132,653 4.7 4.4 4.7 3.9

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,209 76,009 75,304 75,449 3,920 3,660 3,776 3,183 5.2 4.8 5.0 4.2

Lake Havasu City-Kingman. . . . . . . . . . . . 82,007 84,586 82,210 84,949 4,689 4,434 4,523 3,913 5.7 5.2 5.5 4.6

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,287,847 2,357,488 2,281,886 2,347,044 93,100 89,941 92,466 80,107 4.1 3.8 4.1 3.4

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,170 103,895 101,928 104,095 4,452 4,198 4,381 3,721 4.4 4.0 4.3 3.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,710 48,636 49,655 48,454 2,689 2,565 2,578 2,260 5.4 5.3 5.2 4.7

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,254 482,471 474,428 481,105 20,471 19,529 20,389 17,412 4.3 4.0 4.3 3.6

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,052 90,770 94,379 91,300 15,261 14,424 16,228 14,609 16.2 15.9 17.2 16.0

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,352,393 1,347,998 1,358,442 1,349,338 43,094 45,858 48,170 47,543 3.2 3.4 3.5 3.5

Fayetteville-Springdale-Rogers. . . . . . . . . 272,196 275,649 273,505 276,752 6,362 6,943 7,403 7,172 2.3 2.5 2.7 2.6

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 119,704 118,207 120,224 118,288 4,504 4,649 4,951 4,713 3.8 3.9 4.1 4.0

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 41,056 40,690 40,380 40,182 1,389 1,470 1,557 1,549 3.4 3.6 3.9 3.9

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,736 64,155 64,036 64,023 1,738 1,845 1,954 1,936 2.7 2.9 3.1 3.0

Little Rock-North Little Rock-Conway. . . . 353,587 353,293 355,277 353,632 10,238 11,244 11,451 11,414 2.9 3.2 3.2 3.2

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,467 34,881 35,508 34,838 1,560 1,627 1,677 1,691 4.4 4.7 4.7 4.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,240,604 19,246,059 19,213,327 19,266,046 902,414 739,014 846,642 711,537 4.7 3.8 4.4 3.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 384,517 377,364 385,486 381,507 38,105 31,338 33,975 29,497 9.9 8.3 8.8 7.7

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,341 103,003 103,127 103,222 6,047 4,757 5,376 4,433 5.9 4.6 5.2 4.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,817 69,754 73,838 71,224 12,885 10,163 13,095 11,219 17.7 14.6 17.7 15.8

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452,602 450,704 451,039 453,862 40,739 33,673 35,294 31,092 9.0 7.5 7.8 6.9

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,632 57,321 57,735 57,999 5,555 4,578 4,611 4,006 9.6 8.0 8.0 6.9

Los Angeles-Long Beach-Anaheim. . . . . 6,716,182 6,740,199 6,700,384 6,730,233 280,811 249,683 277,166 247,927 4.2 3.7 4.1 3.7

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,865 60,590 61,535 61,805 5,415 4,435 4,741 4,037 8.9 7.3 7.7 6.5

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,007 115,876 115,976 116,360 11,934 10,038 10,202 9,078 10.3 8.7 8.8 7.8

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,336 239,969 244,152 242,374 19,482 15,202 17,672 14,737 8.0 6.3 7.2 6.1

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,685 72,677 74,440 73,613 2,622 2,053 2,368 1,860 3.6 2.8 3.2 2.5

Oxnard-Thousand Oaks-Ventura. . . . . . . 428,492 424,601 426,084 423,881 18,070 13,835 16,789 13,311 4.2 3.3 3.9 3.1

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,339 73,630 74,200 73,611 4,586 3,580 3,945 3,226 6.2 4.9 5.3 4.4

Riverside-San Bernardino-Ontario. . . . . . 2,008,992 2,019,804 2,003,640 2,018,545 97,991 75,565 92,761 73,861 4.9 3.7 4.6 3.7

Sacramento--Roseville--Arden-Arcade. . . 1,074,068 1,070,888 1,072,845 1,070,262 48,541 36,749 44,775 35,083 4.5 3.4 4.2 3.3

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223,576 222,225 225,251 225,485 17,606 14,971 13,363 12,008 7.9 6.7 5.9 5.3

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,579,209 1,577,333 1,573,912 1,578,241 60,970 46,286 58,239 45,169 3.9 2.9 3.7 2.9

San Francisco-Oakland-Hayward. . . . . . . 2,559,590 2,554,991 2,555,405 2,556,120 81,781 62,187 78,459 60,600 3.2 2.4 3.1 2.4

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,061,176 1,072,611 1,060,367 1,072,821 34,242 26,063 32,575 25,027 3.2 2.4 3.1 2.3

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,377 142,748 143,146 143,355 4,816 3,743 4,446 3,577 3.4 2.6 3.1 2.5

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 143,504 143,807 144,221 145,758 9,276 7,687 7,315 6,247 6.5 5.3 5.1 4.3

Santa Maria-Santa Barbara. . . . . . . . . . . . 218,337 217,340 217,504 217,675 9,247 7,701 8,136 6,837 4.2 3.5 3.7 3.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,094 260,344 262,413 262,410 8,638 6,643 7,964 6,226 3.3 2.6 3.0 2.4

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 322,663 323,116 327,397 327,705 23,322 18,737 20,670 17,436 7.2 5.8 6.3 5.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,523 206,806 208,029 206,864 9,897 7,475 9,135 7,125 4.7 3.6 4.4 3.4

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 211,127 209,472 210,220 210,849 21,978 19,291 19,496 17,797 10.4 9.2 9.3 8.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,865 73,537 74,486 74,122 6,827 5,383 5,814 4,794 9.2 7.3 7.8 6.5

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,955,181 3,057,975 2,963,182 3,073,077 76,319 79,283 75,693 74,531 2.6 2.6 2.6 2.4

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,231 192,454 186,617 192,335 4,038 4,375 4,111 4,041 2.2 2.3 2.2 2.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 334,703 348,756 337,066 349,667 9,918 10,675 9,668 9,776 3.0 3.1 2.9 2.8

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,568,352 1,625,764 1,578,183 1,634,713 39,000 40,565 38,379 37,833 2.5 2.5 2.4 2.3

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 192,842 200,037 195,611 203,700 4,286 4,396 4,246 4,098 2.2 2.2 2.2 2.0

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 72,811 75,214 73,500 75,877 2,701 2,480 2,475 2,185 3.7 3.3 3.4 2.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,640 162,016 156,751 164,155 3,790 3,830 3,709 3,533 2.4 2.4 2.4 2.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,299 75,101 74,298 75,460 2,825 2,944 2,815 2,650 3.8 3.9 3.8 3.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,921,392 1,884,854 1,930,665 1,903,769 89,980 80,466 89,792 80,919 4.7 4.3 4.7 4.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 470,786 460,793 474,118 465,858 21,749 19,765 22,266 19,719 4.6 4.3 4.7 4.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,579 106,628 109,046 107,652 4,315 3,682 4,143 3,745 4.0 3.5 3.8 3.5

Hartford-West Hartford-East Hartford. . . . 627,838 618,907 629,723 622,999 29,607 26,986 29,092 26,615 4.7 4.4 4.6 4.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 331,286 323,621 332,361 327,181 15,102 13,105 15,484 13,762 4.6 4.0 4.7 4.2

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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 144,028 141,970 145,343 144,510 6,479 5,839 6,633 6,005 4.5 4.1 4.6 4.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,495 109,241 112,912 110,764 6,797 5,795 6,459 5,904 6.0 5.3 5.7 5.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476,851 483,690 475,357 484,933 21,618 17,952 20,587 16,670 4.5 3.7 4.3 3.4

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,607 79,631 78,005 79,600 3,794 3,196 3,693 2,994 4.8 4.0 4.7 3.8

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 186,701 187,446 189,590 189,511 10,169 9,461 8,982 8,272 5.4 5.0 4.7 4.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . 399,234 408,753 398,908 408,983 22,272 20,532 23,115 21,104 5.6 5.0 5.8 5.2

Washington-Arlington-Alexandria. . . . . . . 3,375,015 3,410,187 3,387,247 3,425,946 114,802 106,894 122,253 110,534 3.4 3.1 3.6 3.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,091,093 10,202,550 10,120,621 10,270,841 398,973 347,903 408,129 345,124 4.0 3.4 4.0 3.4

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 338,237 338,369 337,515 337,891 12,536 10,669 13,031 10,666 3.7 3.2 3.9 3.2

Crestview-Fort Walton Beach-Destin. . . . 124,472 129,575 125,990 131,444 4,076 3,548 4,124 3,487 3.3 2.7 3.3 2.7

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297,660 300,177 298,956 303,514 12,473 10,598 12,804 10,712 4.2 3.5 4.3 3.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,051 145,366 141,471 143,261 4,987 4,446 5,013 4,298 3.5 3.1 3.5 3.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,292 48,141 48,402 48,387 2,622 2,269 2,717 2,323 5.4 4.7 5.6 4.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 754,801 770,729 761,571 782,868 28,543 24,378 29,199 24,512 3.8 3.2 3.8 3.1

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 292,679 297,927 293,681 300,200 12,725 11,127 13,026 11,126 4.3 3.7 4.4 3.7

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,143,080 3,157,535 3,148,984 3,172,884 131,070 115,869 133,176 112,429 4.2 3.7 4.2 3.5

Naples-Immokalee-Marco Island. . . . . . . . 176,748 173,832 174,070 172,647 6,209 5,359 6,406 5,352 3.5 3.1 3.7 3.1

North Port-Sarasota-Bradenton. . . . . . . . . 359,732 366,367 360,758 368,635 13,144 11,344 13,565 11,422 3.7 3.1 3.8 3.1

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,971 134,904 134,210 136,095 6,338 5,474 6,460 5,485 4.7 4.1 4.8 4.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,291,254 1,323,587 1,299,512 1,339,275 46,435 40,553 47,619 40,542 3.6 3.1 3.7 3.0

Palm Bay-Melbourne-Titusville. . . . . . . . . 267,756 268,742 269,419 271,767 10,999 9,190 11,203 9,173 4.1 3.4 4.2 3.4

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,052 96,320 95,156 98,108 3,677 3,138 3,765 3,131 3.9 3.3 4.0 3.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 222,262 223,732 223,461 225,965 8,491 7,395 8,640 7,307 3.8 3.3 3.9 3.2

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 210,276 212,085 211,489 213,955 9,396 8,170 9,711 8,343 4.5 3.9 4.6 3.9

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,616 71,123 70,321 71,369 3,062 2,601 3,212 2,635 4.3 3.7 4.6 3.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,391 63,757 63,512 63,898 2,887 2,522 3,083 2,613 4.6 4.0 4.9 4.1

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,575 36,188 36,718 36,248 1,830 1,571 1,918 1,586 5.0 4.3 5.2 4.4

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 192,059 193,656 190,568 192,858 7,203 6,291 7,279 6,161 3.8 3.2 3.8 3.2

Tampa-St. Petersburg-Clearwater. . . . . . 1,502,611 1,531,304 1,507,598 1,538,404 56,637 49,584 58,157 50,008 3.8 3.2 3.9 3.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,253 30,518 30,489 30,798 1,766 1,498 1,866 1,526 5.8 4.9 6.1 5.0

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,041,112 5,140,436 5,049,359 5,149,749 228,457 188,589 231,718 181,827 4.5 3.7 4.6 3.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,788 68,361 67,930 68,740 3,651 2,947 3,721 2,898 5.4 4.3 5.5 4.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 101,485 103,833 100,704 103,730 4,222 3,501 4,261 3,317 4.2 3.4 4.2 3.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,019,418 3,088,555 3,026,711 3,092,068 132,289 109,844 134,443 105,930 4.4 3.6 4.4 3.4

Augusta-Richmond County. . . . . . . . . . . . . 267,234 275,167 264,290 272,010 11,918 9,910 12,313 9,718 4.5 3.6 4.7 3.6

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,249 53,626 53,544 54,130 2,344 1,881 2,433 1,843 4.4 3.5 4.5 3.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,349 125,922 124,395 126,322 6,389 5,536 6,508 5,527 5.1 4.4 5.2 4.4

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,931 61,738 60,885 61,799 3,176 2,677 3,147 2,521 5.2 4.3 5.2 4.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 99,553 103,211 99,911 103,937 3,723 2,953 3,784 2,867 3.7 2.9 3.8 2.8

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,557 34,046 33,551 34,122 1,636 1,384 1,645 1,318 4.9 4.1 4.9 3.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,136 105,940 105,258 106,355 5,188 4,263 5,235 4,106 4.9 4.0 5.0 3.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,109 44,846 43,946 44,782 2,155 1,703 2,199 1,634 4.9 3.8 5.0 3.6

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,554 188,182 186,255 188,577 7,800 6,370 7,911 6,183 4.2 3.4 4.2 3.3

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,780 65,935 64,845 66,047 2,774 2,423 2,855 2,411 4.3 3.7 4.4 3.7

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,837 86,137 84,829 86,588 3,963 3,207 4,041 3,117 4.7 3.7 4.8 3.6

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688,671 688,876 685,360 686,730 16,578 13,285 16,218 13,404 2.4 1.9 2.4 2.0

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 86,597 86,549 86,401 86,724 2,413 1,701 2,219 1,709 2.8 2.0 2.6 2.0

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 473,633 474,870 470,804 472,103 10,486 8,887 10,509 8,854 2.2 1.9 2.2 1.9

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 822,734 845,902 830,137 853,247 26,478 23,959 23,117 21,546 3.2 2.8 2.8 2.5

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 340,835 352,592 343,073 355,071 10,113 9,093 9,347 8,565 3.0 2.6 2.7 2.4

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 74,381 75,983 75,309 77,676 2,888 2,634 2,370 2,286 3.9 3.5 3.1 2.9

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,996 68,690 67,960 69,280 1,653 1,646 1,564 1,526 2.5 2.4 2.3 2.2

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,182 31,955 31,459 32,164 1,000 1,006 913 924 3.2 3.1 2.9 2.9

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,693 42,983 42,001 43,141 1,265 1,110 1,109 1,042 3.0 2.6 2.6 2.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,462,314 6,448,363 6,460,273 6,468,858 291,942 233,043 283,455 228,259 4.5 3.6 4.4 3.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,723 98,383 95,814 98,493 3,473 3,046 3,501 3,275 3.6 3.1 3.7 3.3

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,413 60,244 58,400 59,113 2,489 2,269 2,512 2,472 4.1 3.8 4.3 4.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 121,890 124,350 119,455 123,413 4,411 4,009 4,508 4,479 3.6 3.2 3.8 3.6

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,870,738 4,839,903 4,887,412 4,854,481 219,951 173,761 213,177 164,345 4.5 3.6 4.4 3.4

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,340 34,303 33,932 34,370 1,909 1,644 1,932 1,769 5.6 4.8 5.7 5.1

Davenport-Moline-Rock Island1. . . . . . . . . 188,103 191,608 188,110 192,366 7,661 6,679 7,497 6,671 4.1 3.5 4.0 3.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,002 49,669 48,741 49,942 2,342 2,157 2,308 2,271 4.8 4.3 4.7 4.5

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,338 57,756 54,943 58,045 2,588 2,398 2,548 2,464 4.7 4.2 4.6 4.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,135 178,684 177,133 180,550 8,902 7,300 8,570 7,644 5.0 4.1 4.8 4.2

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165,357 165,704 164,000 166,487 10,819 6,881 9,536 7,275 6.5 4.2 5.8 4.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,353 110,257 109,272 110,754 4,179 3,575 3,983 3,737 3.8 3.2 3.6 3.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,317,416 3,371,914 3,331,502 3,406,833 99,519 99,098 106,122 109,270 3.0 2.9 3.2 3.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 78,031 77,665 75,720 76,059 2,337 2,396 2,568 2,809 3.0 3.1 3.4 3.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,383 45,634 44,524 45,998 985 995 1,122 1,165 2.2 2.2 2.5 2.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 110,170 116,728 111,281 118,329 2,352 2,324 2,648 2,815 2.1 2.0 2.4 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,218 164,425 159,072 164,977 4,794 4,525 5,205 5,087 3.0 2.8 3.3 3.1

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 211,762 216,328 213,030 218,725 5,773 5,705 6,242 6,499 2.7 2.6 2.9 3.0

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,039,620 1,061,539 1,042,731 1,070,841 29,322 29,468 31,797 32,572 2.8 2.8 3.0 3.0

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,667 39,286 37,880 39,583 1,172 1,205 1,255 1,271 3.1 3.1 3.3 3.2

Lafayette-West Lafayette. . . . . . . . . . . . . . 108,473 112,806 105,652 113,570 2,807 3,021 3,152 3,443 2.6 2.7 3.0 3.0

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,721 47,791 47,898 48,425 1,871 1,885 1,879 1,909 3.9 3.9 3.9 3.9

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,549 56,173 54,450 54,744 1,950 1,863 2,063 2,067 3.6 3.3 3.8 3.8

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,474 162,058 158,935 162,824 4,975 5,131 5,311 5,485 3.1 3.2 3.3 3.4

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,957 77,121 76,992 77,674 2,854 2,831 2,935 3,092 3.7 3.7 3.8 4.0

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,679,203 1,672,615 1,675,398 1,676,976 51,050 42,355 48,400 37,029 3.0 2.5 2.9 2.2

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,242 59,263 56,619 57,609 1,007 885 1,074 859 1.7 1.5 1.9 1.5

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 141,903 142,821 141,060 141,929 4,699 3,959 4,526 3,473 3.3 2.8 3.2 2.4

Des Moines-West Des Moines. . . . . . . . . 345,413 348,851 345,378 351,505 9,967 8,127 9,677 7,510 2.9 2.3 2.8 2.1

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,488 54,325 54,546 54,212 1,513 1,350 1,435 1,118 2.8 2.5 2.6 2.1

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,721 98,072 96,208 96,833 2,332 1,871 2,315 1,772 2.4 1.9 2.4 1.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,109 90,512 90,274 90,585 2,756 2,356 2,631 2,102 3.1 2.6 2.9 2.3

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,126 88,261 88,249 87,658 3,158 2,378 2,916 2,069 3.5 2.7 3.3 2.4

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,472,812 1,466,884 1,469,649 1,470,847 50,296 47,053 52,027 47,831 3.4 3.2 3.5 3.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,434 66,542 65,356 65,052 2,002 1,929 2,077 1,886 3.0 2.9 3.2 2.9

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,634 48,622 47,424 46,853 1,412 1,292 1,444 1,285 2.9 2.7 3.0 2.7

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,792 118,367 119,169 117,651 4,125 3,829 4,227 3,913 3.5 3.2 3.5 3.3

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,090 305,215 306,785 306,338 12,065 10,939 12,454 11,168 3.9 3.6 4.1 3.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,059,556 2,073,040 2,061,615 2,076,198 98,936 81,050 102,602 86,594 4.8 3.9 5.0 4.2

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,556 84,844 83,123 84,580 3,332 2,833 3,399 2,958 4.0 3.3 4.1 3.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 66,953 67,193 66,900 67,390 3,143 2,522 3,193 2,745 4.7 3.8 4.8 4.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 272,425 273,570 271,836 274,650 10,066 8,467 10,511 8,970 3.7 3.1 3.9 3.3

Louisville/Jefferson County. . . . . . . . . . . . . 656,138 669,417 658,865 671,092 26,165 22,680 27,557 26,251 4.0 3.4 4.2 3.9

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,992 56,467 56,129 56,596 2,466 2,103 2,548 2,203 4.4 3.7 4.5 3.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,109,716 2,139,825 2,106,872 2,130,914 106,015 91,846 107,667 100,337 5.0 4.3 5.1 4.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,394 64,877 64,068 64,543 3,586 2,992 3,740 3,309 5.6 4.6 5.8 5.1

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 418,032 426,881 415,586 422,168 18,189 16,171 18,402 17,733 4.4 3.8 4.4 4.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,665 56,037 54,826 55,739 3,018 2,614 3,114 2,814 5.5 4.7 5.7 5.0

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 88,565 89,136 88,938 89,246 4,961 3,965 4,920 4,321 5.6 4.4 5.5 4.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,039 214,065 213,962 214,274 12,065 9,559 12,144 10,420 5.6 4.5 5.7 4.9

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 111,108 116,949 111,769 116,403 4,207 3,893 4,383 4,258 3.8 3.3 3.9 3.7

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,006 81,122 79,793 80,685 4,186 3,731 4,267 4,059 5.2 4.6 5.3 5.0

New Orleans-Metairie. . . . . . . . . . . . . . . . . 596,780 608,339 596,145 606,139 27,328 24,474 27,871 26,717 4.6 4.0 4.7 4.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,601 189,590 186,541 188,451 10,156 8,710 10,428 9,707 5.4 4.6 5.6 5.2

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 692,797 697,190 697,339 703,470 24,305 21,447 24,007 21,299 3.5 3.1 3.4 3.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,380 71,113 70,737 70,329 2,488 2,165 2,512 2,137 3.5 3.0 3.6 3.0

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,941 56,335 56,053 56,400 1,799 1,599 1,785 1,599 3.2 2.8 3.2 2.8

Portland-South Portland. . . . . . . . . . . . . . . 204,696 207,347 207,413 210,364 5,457 5,039 5,588 5,126 2.7 2.4 2.7 2.4

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,202,113 3,208,069 3,209,731 3,216,820 122,990 123,902 125,682 125,447 3.8 3.9 3.9 3.9

Baltimore-Columbia-Towson. . . . . . . . . . . 1,490,876 1,499,432 1,496,648 1,505,560 60,258 58,817 60,621 59,840 4.0 3.9 4.1 4.0

California-Lexington Park. . . . . . . . . . . . . . 55,153 55,052 55,048 55,077 1,920 2,038 2,013 2,069 3.5 3.7 3.7 3.8

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,368 44,636 44,291 44,741 2,383 2,537 2,231 2,325 5.4 5.7 5.0 5.2

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 129,681 130,318 129,806 130,201 5,006 5,666 5,037 5,543 3.9 4.3 3.9 4.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,646,782 3,751,378 3,642,292 3,789,531 130,569 123,195 135,023 126,878 3.6 3.3 3.7 3.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 118,544 122,225 122,797 128,562 5,306 5,166 5,068 4,854 4.5 4.2 4.1 3.8

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,696,477 2,772,265 2,688,443 2,795,358 87,026 82,074 91,510 85,741 3.2 3.0 3.4 3.1

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 77,893 80,212 77,682 80,852 3,343 3,110 3,314 3,086 4.3 3.9 4.3 3.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 84,366 86,418 84,269 86,721 4,450 4,300 4,393 4,275 5.3 5.0 5.2 4.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,552 42,950 42,930 43,830 1,976 1,905 1,900 1,833 4.6 4.4 4.4 4.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 370,839 378,368 368,883 379,850 16,053 15,187 16,318 15,582 4.3 4.0 4.4 4.1

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 352,180 361,436 351,768 364,259 13,539 12,848 13,871 13,126 3.8 3.6 3.9 3.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,829,355 4,879,003 4,865,026 4,925,940 181,556 194,126 187,178 187,197 3.8 4.0 3.8 3.8

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 193,714 196,546 191,523 197,509 5,119 5,600 6,289 5,980 2.6 2.8 3.3 3.0

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,605 63,359 63,925 63,950 2,671 2,792 2,862 2,605 4.2 4.4 4.5 4.1

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,755 50,821 50,691 50,843 2,598 2,655 2,651 2,393 5.1 5.2 5.2 4.7

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,076,197 2,093,167 2,092,693 2,117,708 69,782 76,063 70,630 77,836 3.4 3.6 3.4 3.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,012 182,359 183,667 184,556 8,910 9,183 9,261 8,682 4.9 5.0 5.0 4.7

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 567,889 581,632 572,773 586,214 15,739 17,499 18,013 17,063 2.8 3.0 3.1 2.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,967 74,743 74,489 75,512 2,925 2,995 3,100 2,904 4.0 4.0 4.2 3.8

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,376 168,878 166,929 168,883 6,082 6,340 6,727 6,128 3.6 3.8 4.0 3.6

Lansing-East Lansing. . . . . . . . . . . . . . . . . 250,212 253,731 251,512 253,645 8,248 8,946 9,296 8,517 3.3 3.5 3.7 3.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,335 40,361 40,665 40,756 1,670 1,775 1,739 1,574 4.1 4.4 4.3 3.9

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,131 76,642 76,345 77,388 2,908 2,864 3,302 3,090 3.8 3.7 4.3 4.0

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,351 77,489 78,454 78,459 3,467 3,686 3,788 3,570 4.5 4.8 4.8 4.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 72,868 73,134 74,426 74,208 2,966 3,226 3,241 3,128 4.1 4.4 4.4 4.2

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,142 86,929 87,012 87,439 4,219 4,350 4,339 4,028 4.8 5.0 5.0 4.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,051,011 3,100,740 3,057,119 3,109,058 104,572 96,766 94,737 76,781 3.4 3.1 3.1 2.5

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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,715 146,258 143,950 145,107 7,063 6,000 6,147 4,989 4.9 4.1 4.3 3.4

Mankato-North Mankato. . . . . . . . . . . . . . . 61,166 62,672 60,605 62,221 1,609 1,540 1,593 1,277 2.6 2.5 2.6 2.1

Minneapolis-St. Paul-Bloomington. . . . . . 1,978,612 2,011,274 1,984,759 2,015,871 61,048 55,183 58,726 46,620 3.1 2.7 3.0 2.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,716 121,045 121,186 121,225 3,417 3,348 3,197 2,556 2.8 2.8 2.6 2.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,903 114,805 112,286 114,620 3,877 3,811 3,422 2,833 3.4 3.3 3.0 2.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,279,466 1,278,096 1,285,731 1,293,066 58,631 53,951 69,030 65,958 4.6 4.2 5.4 5.1

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,463 163,775 165,238 165,580 7,895 7,139 9,083 8,725 4.8 4.4 5.5 5.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,243 68,867 68,244 69,530 2,790 2,608 3,339 3,170 4.1 3.8 4.9 4.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,063 273,193 271,810 275,604 10,682 10,106 12,758 12,332 3.9 3.7 4.7 4.5

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,061,521 3,050,540 3,059,214 3,076,794 108,193 101,099 111,943 101,966 3.5 3.3 3.7 3.3

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,823 48,279 47,613 48,503 1,704 1,507 1,814 1,484 3.6 3.1 3.8 3.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,578 97,985 98,544 98,365 2,362 2,231 2,549 2,258 2.4 2.3 2.6 2.3

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 75,695 74,514 75,600 74,959 2,213 2,024 2,267 1,971 2.9 2.7 3.0 2.6

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,204 84,369 84,572 84,681 2,861 2,468 2,970 2,395 3.4 2.9 3.5 2.8

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,120,499 1,129,091 1,121,041 1,135,651 38,443 37,347 40,042 41,027 3.4 3.3 3.6 3.6

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,569 65,209 65,473 65,958 2,214 1,953 2,285 1,928 3.4 3.0 3.5 2.9

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,456,453 1,460,395 1,458,154 1,474,640 51,775 47,407 53,013 47,960 3.6 3.2 3.6 3.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 229,448 229,011 229,243 230,851 7,166 6,373 7,453 6,335 3.1 2.8 3.3 2.7

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522,610 519,214 525,675 521,179 20,324 18,978 18,368 15,486 3.9 3.7 3.5 3.0

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,274 86,881 87,682 87,184 2,751 2,681 2,529 2,186 3.2 3.1 2.9 2.5

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,919 37,700 37,844 37,650 1,279 1,243 1,189 1,024 3.4 3.3 3.1 2.7

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,172 62,286 62,407 62,422 2,160 1,939 1,905 1,579 3.5 3.1 3.1 2.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,007,564 1,013,431 1,010,223 1,016,909 28,336 28,850 28,038 28,395 2.8 2.8 2.8 2.8

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,623 43,644 43,288 43,846 1,539 1,310 1,224 1,257 3.5 3.0 2.8 2.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,740 179,679 177,392 179,785 4,493 4,654 4,555 4,688 2.5 2.6 2.6 2.6

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 476,389 482,537 476,975 485,915 13,934 14,053 13,807 13,731 2.9 2.9 2.9 2.8

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,452,558 1,493,980 1,458,009 1,495,119 74,195 71,680 72,036 62,418 5.1 4.8 4.9 4.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,409 26,268 25,596 26,287 1,349 1,374 1,256 1,105 5.3 5.2 4.9 4.2

Las Vegas-Henderson-Paradise. . . . . . . . 1,064,509 1,097,515 1,066,716 1,097,486 56,570 55,039 54,970 48,225 5.3 5.0 5.2 4.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238,383 248,036 240,467 248,325 10,192 9,639 9,922 8,247 4.3 3.9 4.1 3.3

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 740,783 751,166 742,475 755,176 19,388 20,402 18,892 19,588 2.6 2.7 2.5 2.6

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 84,611 85,882 84,802 86,641 1,890 2,021 1,952 2,042 2.2 2.4 2.3 2.4

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 117,297 118,121 116,882 118,492 2,972 3,038 2,977 2,923 2.5 2.6 2.5 2.5

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 74,877 76,469 75,742 77,569 1,685 1,821 1,727 1,788 2.3 2.4 2.3 2.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,509,912 4,437,141 4,514,399 4,441,543 191,918 180,529 198,466 163,978 4.3 4.1 4.4 3.7

Atlantic City-Hammonton. . . . . . . . . . . . . . 119,818 119,039 120,553 118,248 8,267 7,180 8,111 6,236 6.9 6.0 6.7 5.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 42,963 44,126 46,300 47,584 4,307 4,379 3,573 3,061 10.0 9.9 7.7 6.4

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,148 197,962 198,115 198,165 7,281 6,892 7,647 6,398 3.7 3.5 3.9 3.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 65,992 65,800 66,419 66,026 4,164 4,317 4,111 3,586 6.3 6.6 6.2 5.4

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 924,811 933,827 921,490 933,527 53,916 41,389 53,839 37,878 5.8 4.4 5.8 4.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 423,944 430,116 421,178 429,864 22,338 17,646 22,762 16,318 5.3 4.1 5.4 3.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,719 53,013 53,205 52,681 3,789 2,549 3,572 2,348 7.1 4.8 6.7 4.5

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 94,519 93,640 94,059 93,896 6,422 5,177 6,239 4,604 6.8 5.5 6.6 4.9

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,202 73,331 71,997 73,457 3,355 2,709 3,458 2,496 4.7 3.7 4.8 3.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,687,025 9,620,036 9,690,531 9,627,528 421,390 418,211 428,582 356,305 4.4 4.3 4.4 3.7

Albany-Schenectady-Troy. . . . . . . . . . . . . . 453,815 448,268 451,605 447,856 18,074 18,715 18,340 16,002 4.0 4.2 4.1 3.6

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 109,495 107,075 109,959 107,626 5,760 5,750 5,584 4,726 5.3 5.4 5.1 4.4

Buffalo-Cheektowaga-Niagara Falls. . . . . 546,635 541,456 548,930 546,776 27,883 27,586 27,673 23,394 5.1 5.1 5.0 4.3

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,854 34,831 35,800 35,017 1,937 1,840 1,932 1,630 5.4 5.3 5.4 4.7

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,470 58,782 60,187 59,599 3,009 3,069 2,674 2,365 5.1 5.2 4.4 4.0

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,945 52,054 50,837 51,178 1,995 2,007 2,029 1,693 3.8 3.9 4.0 3.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,602 87,658 89,240 88,551 3,864 3,697 3,861 3,287 4.4 4.2 4.3 3.7

New York-Newark-Jersey City. . . . . . . . . . 10,094,000 9,999,625 10,104,601 10,002,901 415,423 402,193 431,005 353,951 4.1 4.0 4.3 3.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 526,826 520,408 524,424 524,444 24,208 24,753 24,500 21,123 4.6 4.8 4.7 4.0

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,394 304,603 306,431 303,655 14,830 14,784 14,723 12,377 4.8 4.9 4.8 4.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 130,684 126,837 130,077 126,878 6,582 6,695 6,319 5,472 5.0 5.3 4.9 4.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,020 44,242 45,475 44,805 2,983 2,926 2,728 2,225 6.6 6.6 6.0 5.0

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,924,665 4,983,756 4,940,145 5,019,980 203,092 185,590 213,136 184,582 4.1 3.7 4.3 3.7

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,439 232,134 228,596 232,508 7,394 6,913 7,901 6,854 3.3 3.0 3.5 2.9

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,670 79,973 79,661 80,619 3,049 2,793 3,247 2,842 3.8 3.5 4.1 3.5

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,304,867 1,333,561 1,311,955 1,343,223 51,171 45,778 53,145 45,463 3.9 3.4 4.1 3.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 294,088 298,008 295,640 301,046 10,589 9,785 11,175 9,823 3.6 3.3 3.8 3.3

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,925 148,343 147,815 148,882 7,670 7,044 8,009 7,041 5.2 4.7 5.4 4.7

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,351 53,133 53,913 53,264 2,565 2,222 2,636 2,183 4.7 4.2 4.9 4.1

Greensboro-High Point. . . . . . . . . . . . . . . . 368,745 371,356 368,985 373,121 15,995 14,467 16,936 14,512 4.3 3.9 4.6 3.9

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,202 89,912 89,189 90,325 3,936 3,639 4,366 3,811 4.4 4.0 4.9 4.2

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,324 174,691 174,074 175,850 6,513 5,863 6,921 5,817 3.7 3.4 4.0 3.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,475 64,755 64,554 64,921 2,830 2,658 3,023 2,622 4.4 4.1 4.7 4.0

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,778 51,725 51,783 51,901 2,164 2,000 2,312 1,966 4.2 3.9 4.5 3.8

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 690,306 707,130 694,574 714,285 24,834 23,009 26,212 22,823 3.6 3.3 3.8 3.2

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,968 64,765 65,753 64,981 4,326 3,769 4,390 3,747 6.6 5.8 6.7 5.8

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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,463 146,941 146,640 148,378 5,533 5,143 5,810 5,062 3.8 3.5 4.0 3.4

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 323,649 327,641 324,179 329,563 12,729 11,577 13,582 11,510 3.9 3.5 4.2 3.5

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 413,430 406,679 416,201 407,825 10,998 11,697 8,908 8,997 2.7 2.9 2.1 2.2

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,276 69,249 70,473 69,130 1,749 2,145 1,428 1,597 2.5 3.1 2.0 2.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,159 138,783 138,783 138,828 3,207 3,744 2,714 2,876 2.3 2.7 2.0 2.1

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,357 56,195 56,234 56,591 1,588 1,630 1,342 1,279 2.8 2.9 2.4 2.3

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,761,735 5,787,859 5,776,692 5,813,989 266,262 234,030 265,194 241,290 4.6 4.0 4.6 4.2

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360,441 362,807 363,496 367,224 16,892 15,182 16,260 14,803 4.7 4.2 4.5 4.0

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 200,610 201,017 201,402 202,310 9,914 9,430 9,587 8,942 4.9 4.7 4.8 4.4

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,100,326 1,110,161 1,110,279 1,125,941 43,036 38,909 44,416 40,727 3.9 3.5 4.0 3.6

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,039,267 1,035,381 1,029,479 1,025,669 55,746 46,089 56,679 50,479 5.4 4.5 5.5 4.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,065,881 1,083,436 1,074,757 1,090,390 39,267 36,292 40,202 37,826 3.7 3.3 3.7 3.5

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,100 393,740 386,561 390,431 16,314 14,721 16,729 15,479 4.2 3.7 4.3 4.0

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,604 48,364 48,935 48,709 2,296 1,937 2,223 1,978 4.7 4.0 4.5 4.1

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,729 53,064 53,156 53,438 2,738 2,379 2,607 2,315 5.2 4.5 4.9 4.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,702 63,792 64,150 64,486 2,761 2,491 2,782 2,764 4.3 3.9 4.3 4.3

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,130 302,469 306,087 304,959 15,637 12,753 16,527 14,219 5.2 4.2 5.4 4.7

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,989 50,373 50,971 50,632 3,374 3,025 3,171 2,928 6.6 6.0 6.2 5.8

Youngstown-Warren-Boardman. . . . . . . . 245,385 239,678 245,693 241,531 15,218 12,341 14,415 11,662 6.2 5.1 5.9 4.8

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,822,182 1,849,346 1,824,733 1,857,567 72,604 69,664 80,509 72,120 4.0 3.8 4.4 3.9

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,023 27,369 27,962 27,375 1,036 945 1,150 975 3.7 3.5 4.1 3.6

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,223 52,348 52,057 52,406 2,096 2,191 2,340 2,253 4.0 4.2 4.5 4.3

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 666,231 682,138 666,442 683,496 23,778 23,649 26,709 24,504 3.6 3.5 4.0 3.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472,791 484,762 474,397 488,044 19,911 18,622 21,936 19,229 4.2 3.8 4.6 3.9

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,085,262 2,102,390 2,089,234 2,104,074 79,461 80,700 77,134 73,428 3.8 3.8 3.7 3.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,705 58,324 57,715 58,225 2,560 2,552 2,486 2,283 4.4 4.4 4.3 3.9

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 92,319 94,330 92,725 94,494 3,536 3,674 3,364 3,172 3.8 3.9 3.6 3.4

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,290 48,454 48,566 48,606 1,320 1,281 1,355 1,243 2.7 2.6 2.8 2.6

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,524 183,708 181,869 184,101 7,506 7,527 7,271 6,988 4.1 4.1 4.0 3.8

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,122 35,639 35,216 35,645 1,776 1,854 1,694 1,655 5.1 5.2 4.8 4.6

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,655 104,891 102,868 104,454 4,773 4,728 4,507 4,284 4.6 4.5 4.4 4.1

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,300,730 1,310,225 1,300,364 1,312,480 47,165 48,165 46,676 45,101 3.6 3.7 3.6 3.4

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,496 198,937 200,162 199,489 7,917 7,973 7,794 7,260 4.0 4.0 3.9 3.6

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,431,950 6,323,416 6,438,733 6,348,830 290,893 253,225 312,702 233,594 4.5 4.0 4.9 3.7

Allentown-Bethlehem-Easton. . . . . . . . . . . 434,791 430,096 437,008 432,234 19,751 18,354 21,296 16,819 4.5 4.3 4.9 3.9

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,403 58,602 60,661 59,416 2,718 2,256 2,889 2,071 4.5 3.8 4.8 3.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,429 42,276 43,411 42,339 1,981 1,717 2,012 1,591 4.6 4.1 4.6 3.8

Chambersburg-Waynesboro. . . . . . . . . . . 76,615 74,860 76,839 75,850 3,136 2,563 3,547 2,346 4.1 3.4 4.6 3.1

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,419 79,996 81,834 80,663 4,516 4,087 4,841 3,768 5.5 5.1 5.9 4.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,207 127,271 130,589 127,921 7,272 5,870 7,377 5,226 5.5 4.6 5.6 4.1

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,727 54,800 55,991 55,418 1,815 1,573 2,050 1,480 3.3 2.9 3.7 2.7

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 296,422 290,669 296,933 293,569 11,316 9,875 12,553 9,291 3.8 3.4 4.2 3.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 60,158 58,617 60,126 58,805 3,275 2,704 3,449 2,444 5.4 4.6 5.7 4.2

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,361 275,646 281,974 279,430 9,456 8,445 10,582 7,983 3.4 3.1 3.8 2.9

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,676 69,089 70,833 69,864 2,553 2,403 2,843 2,161 3.6 3.5 4.0 3.1

Philadelphia-Camden-Wilmington. . . . . . . 3,092,587 3,069,659 3,090,567 3,070,123 134,892 121,364 145,213 114,405 4.4 4.0 4.7 3.7

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,205,978 1,188,004 1,208,762 1,190,051 56,054 47,232 59,659 42,943 4.6 4.0 4.9 3.6

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,578 209,041 212,842 210,654 9,018 8,030 9,883 7,496 4.2 3.8 4.6 3.6

Scranton--Wilkes-Barre--Hazleton. . . . . . . 277,466 274,836 277,972 275,501 14,550 12,846 15,137 11,650 5.2 4.7 5.4 4.2

State College. . . . . . . . . . . . . . . . . . . . . . . . 80,969 78,706 75,724 74,532 2,627 2,313 3,047 2,259 3.2 2.9 4.0 3.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,720 55,671 57,545 55,528 3,051 2,604 3,185 2,284 5.3 4.7 5.5 4.1

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 234,244 230,171 234,784 231,890 9,118 8,044 10,132 7,506 3.9 3.5 4.3 3.2

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 548,149 555,650 548,914 558,642 22,297 22,458 22,013 21,420 4.1 4.0 4.0 3.8

Providence-Warwick. . . . . . . . . . . . . . . . . . 677,236 688,773 677,845 692,689 27,977 27,899 27,553 26,707 4.1 4.1 4.1 3.9

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,304,377 2,296,738 2,313,013 2,302,016 84,561 64,142 87,929 65,264 3.7 2.8 3.8 2.8

Charleston-North Charleston. . . . . . . . . . . 376,756 373,678 378,647 374,303 12,036 8,698 12,418 9,029 3.2 2.3 3.3 2.4

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 403,029 395,295 403,392 396,498 13,974 10,797 14,713 11,055 3.5 2.7 3.6 2.8

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,947 94,121 95,232 94,514 4,026 2,994 4,150 3,004 4.2 3.2 4.4 3.2

Greenville-Anderson-Mauldin. . . . . . . . . . . 421,790 422,181 423,225 421,939 13,837 10,475 14,699 10,993 3.3 2.5 3.5 2.6

Hilton Head Island-Bluffton-Beaufort. . . . 86,383 86,718 87,380 87,734 2,950 2,175 3,057 2,274 3.4 2.5 3.5 2.6

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,567 196,185 198,928 198,954 8,555 7,276 8,846 7,164 4.4 3.7 4.4 3.6

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 156,833 157,565 157,031 156,984 5,416 4,056 5,695 4,142 3.5 2.6 3.6 2.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,999 43,490 43,846 43,373 2,098 1,513 2,118 1,492 4.8 3.5 4.8 3.4

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 452,900 457,701 455,458 458,182 14,570 15,744 14,297 13,064 3.2 3.4 3.1 2.9

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,377 74,001 73,646 74,715 2,448 2,644 2,449 2,268 3.4 3.6 3.3 3.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 148,245 151,302 148,216 150,773 3,929 4,394 3,950 3,636 2.7 2.9 2.7 2.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,182,553 3,250,129 3,183,073 3,247,611 107,501 92,318 102,832 96,750 3.4 2.8 3.2 3.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 264,921 274,025 264,986 272,818 9,471 8,122 9,303 8,385 3.6 3.0 3.5 3.1

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,426 113,848 112,115 113,250 4,935 3,954 4,895 4,220 4.4 3.5 4.4 3.7

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,183 57,735 56,269 57,927 1,967 1,708 1,877 1,823 3.5 3.0 3.3 3.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,950 64,770 62,831 64,797 2,260 2,057 2,256 2,158 3.6 3.2 3.6 3.3

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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 91,220 91,125 90,285 90,641 3,286 2,758 3,216 2,948 3.6 3.0 3.6 3.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 138,125 139,547 138,388 139,138 5,156 4,278 5,113 4,413 3.7 3.1 3.7 3.2

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417,441 422,066 417,962 422,786 13,234 11,114 12,556 11,587 3.2 2.6 3.0 2.7

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 625,627 636,788 625,994 637,741 25,004 22,325 25,076 24,376 4.0 3.5 4.0 3.8

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,266 51,717 51,136 51,950 1,863 1,564 1,755 1,682 3.6 3.0 3.4 3.2

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,003,380 1,035,496 1,005,655 1,034,531 26,452 22,922 25,573 24,028 2.6 2.2 2.5 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,527,232 13,863,075 13,498,726 13,836,477 559,386 520,621 557,907 515,248 4.1 3.8 4.1 3.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,714 77,367 75,607 76,983 2,596 2,478 2,809 2,460 3.4 3.2 3.7 3.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,044 133,871 131,410 134,194 3,692 3,456 3,841 3,464 2.8 2.6 2.9 2.6

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,149,292 1,190,455 1,149,397 1,188,870 33,406 32,886 34,409 32,871 2.9 2.8 3.0 2.8

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 175,907 174,843 174,572 173,197 11,739 10,753 11,278 10,263 6.7 6.2 6.5 5.9

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 167,672 168,100 166,389 167,401 11,427 10,512 10,923 10,051 6.8 6.3 6.6 6.0

College Station-Bryan. . . . . . . . . . . . . . . . . 129,321 133,998 128,469 134,131 3,733 3,647 3,946 3,711 2.9 2.7 3.1 2.8

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 210,686 208,630 209,771 208,186 11,728 10,622 11,209 10,187 5.6 5.1 5.3 4.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,773,905 3,904,883 3,767,275 3,899,693 132,899 131,095 134,860 131,059 3.5 3.4 3.6 3.4

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356,314 361,588 354,949 359,939 15,769 15,021 15,969 14,839 4.4 4.2 4.5 4.1

Houston-The Woodlands-Sugar Land. . . 3,323,912 3,410,234 3,314,891 3,395,423 161,143 144,823 158,355 142,491 4.8 4.2 4.8 4.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,388 178,669 175,589 178,646 7,056 6,856 7,113 6,979 4.0 3.8 4.1 3.9

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,546 116,062 114,222 115,641 4,786 4,210 4,700 4,167 4.2 3.6 4.1 3.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,589 97,750 96,775 97,046 5,073 3,991 4,844 3,919 5.2 4.1 5.0 4.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,626 164,591 161,311 164,776 4,662 4,635 4,850 4,656 2.9 2.8 3.0 2.8

McAllen-Edinburg-Mission. . . . . . . . . . . . . 344,548 348,994 342,672 347,688 25,111 22,913 23,983 21,525 7.3 6.6 7.0 6.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,316 98,666 90,799 99,674 2,752 2,078 2,742 2,115 3.0 2.1 3.0 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,224 80,968 77,333 80,529 3,337 2,241 3,196 2,235 4.3 2.8 4.1 2.8

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,788 55,350 54,632 55,354 1,954 1,665 2,025 1,693 3.6 3.0 3.7 3.1

San Antonio-New Braunfels. . . . . . . . . . . . 1,161,247 1,188,532 1,158,967 1,186,452 38,208 37,209 39,482 37,551 3.3 3.1 3.4 3.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,038 63,420 62,025 63,700 2,105 1,973 2,145 1,989 3.4 3.1 3.5 3.1

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,026 65,190 64,887 65,476 2,712 2,738 2,836 3,173 4.2 4.2 4.4 4.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,647 108,138 106,531 108,845 4,048 3,718 4,101 3,769 3.8 3.4 3.8 3.5

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,551 45,606 46,322 45,379 2,196 1,784 2,114 1,741 4.7 3.9 4.6 3.8

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,467 126,089 124,331 126,041 4,325 4,322 4,548 4,396 3.5 3.4 3.7 3.5

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,180 65,580 64,957 65,449 2,260 2,089 2,299 2,133 3.5 3.2 3.5 3.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,545,898 1,586,549 1,554,142 1,594,522 49,594 48,326 49,692 44,455 3.2 3.0 3.2 2.8

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,308 71,386 70,486 71,869 1,846 1,805 1,843 1,605 2.6 2.5 2.6 2.2

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 322,613 328,532 326,160 331,081 10,258 10,170 10,169 9,184 3.2 3.1 3.1 2.8

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 295,319 306,294 293,539 304,313 8,393 8,246 8,431 7,724 2.8 2.7 2.9 2.5

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 70,310 73,292 71,083 74,165 2,397 2,429 2,344 2,196 3.4 3.3 3.3 3.0

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 644,920 662,804 652,027 669,841 20,363 20,000 20,323 18,287 3.2 3.0 3.1 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340,810 346,279 342,257 347,486 10,986 10,316 9,669 9,155 3.2 3.0 2.8 2.6

Burlington-South Burlington. . . . . . . . . . . . 124,728 126,795 124,477 126,460 2,889 2,733 2,758 2,583 2.3 2.2 2.2 2.0

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,312,146 4,350,333 4,319,367 4,373,043 150,014 122,596 157,840 125,396 3.5 2.8 3.7 2.9

Blacksburg-Christiansburg-Radford. . . . . 92,080 91,527 90,424 90,735 3,406 2,621 3,609 2,683 3.7 2.9 4.0 3.0

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,531 123,278 119,142 123,156 3,575 3,003 3,920 3,114 3.0 2.4 3.3 2.5

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 66,522 66,982 64,742 65,640 2,175 1,807 2,475 1,890 3.3 2.7 3.8 2.9

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,309 124,286 121,672 124,457 4,792 3,970 5,115 4,109 3.9 3.2 4.2 3.3

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 675,899 682,656 677,065 687,157 24,913 20,565 25,467 20,797 3.7 3.0 3.8 3.0

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,213 157,903 157,608 158,896 5,448 4,499 5,860 4,625 3.5 2.8 3.7 2.9

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,485 59,940 59,173 59,944 1,930 1,599 2,128 1,671 3.2 2.7 3.6 2.8

Virginia Beach-Norfolk-Newport News. . . 850,610 849,112 851,671 855,974 32,741 26,185 34,227 26,776 3.8 3.1 4.0 3.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,113 72,771 71,194 73,199 2,234 1,957 2,328 2,017 3.1 2.7 3.3 2.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,693,551 3,741,740 3,702,170 3,753,803 162,273 164,932 165,916 165,028 4.4 4.4 4.5 4.4

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,016 109,985 109,338 110,759 5,165 5,266 5,190 5,026 4.7 4.8 4.7 4.5

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 119,542 120,251 120,005 121,116 5,708 5,934 5,751 5,656 4.8 4.9 4.8 4.7

Kennewick-Richland. . . . . . . . . . . . . . . . . . 136,240 136,463 137,427 138,372 7,393 7,725 7,166 7,191 5.4 5.7 5.2 5.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,742 45,871 45,694 46,068 2,708 2,838 2,666 2,679 5.9 6.2 5.8 5.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . 58,813 58,587 58,939 59,359 3,159 3,149 3,090 2,993 5.4 5.4 5.2 5.0

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 133,321 135,114 133,135 136,061 6,377 6,648 6,386 6,416 4.8 4.9 4.8 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,059,684 2,102,160 2,061,397 2,100,223 74,040 74,596 79,590 79,329 3.6 3.5 3.9 3.8

Spokane-Spokane Valley. . . . . . . . . . . . . . 261,550 258,847 261,873 260,932 14,109 14,469 13,597 13,577 5.4 5.6 5.2 5.2

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,263 31,169 30,529 31,685 1,376 1,469 1,385 1,367 4.5 4.7 4.5 4.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 62,657 63,065 62,836 63,262 3,222 3,276 3,313 3,118 5.1 5.2 5.3 4.9

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,311 126,386 124,918 127,702 8,343 8,070 7,782 7,669 6.7 6.4 6.2 6.0

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 778,528 783,770 776,842 788,225 38,533 42,374 35,645 40,136 4.9 5.4 4.6 5.1

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,073 45,154 45,063 45,732 2,451 2,746 2,272 2,508 5.4 6.1 5.0 5.5

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 94,865 95,200 94,828 95,503 4,764 5,187 4,441 4,924 5.0 5.4 4.7 5.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,069 146,458 147,277 146,828 7,975 7,748 7,820 7,677 5.4 5.3 5.3 5.2

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 67,619 69,297 67,488 69,068 2,461 2,893 2,327 2,887 3.6 4.2 3.4 4.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,351 38,337 38,278 38,504 2,033 2,146 1,881 2,021 5.3 5.6 4.9 5.2

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,124 64,996 65,213 65,349 3,686 3,550 3,326 3,248 5.7 5.5 5.1 5.0

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,129,780 3,170,192 3,139,778 3,167,299 97,378 85,308 95,809 82,173 3.1 2.7 3.1 2.6

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,067 133,183 132,158 133,711 3,639 3,283 3,617 3,175 2.8 2.5 2.7 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

Table 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,440 94,267 92,941 94,579 2,675 2,494 2,595 2,185 2.9 2.6 2.8 2.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,092 58,048 57,165 58,354 1,443 1,324 1,497 1,333 2.5 2.3 2.6 2.3

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 174,037 176,314 174,570 175,557 4,932 4,558 4,913 4,316 2.8 2.6 2.8 2.5

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,343 85,919 85,473 85,961 3,175 2,373 3,099 2,393 3.7 2.8 3.6 2.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 79,162 80,148 78,831 79,838 2,173 1,854 2,189 1,788 2.7 2.3 2.8 2.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387,446 393,854 387,067 391,450 8,751 7,577 9,365 8,081 2.3 1.9 2.4 2.1

Milwaukee-Waukesha-West Allis. . . . . . . 825,342 835,398 827,761 830,347 27,168 22,519 27,751 23,408 3.3 2.7 3.4 2.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 94,042 94,567 93,695 94,328 2,554 2,237 2,693 2,261 2.7 2.4 2.9 2.4

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,329 99,438 99,641 99,265 3,863 3,200 3,714 3,122 3.9 3.2 3.7 3.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,242 63,139 62,693 63,528 1,637 1,381 1,687 1,445 2.6 2.2 2.7 2.3

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,407 75,639 73,885 75,550 1,983 1,857 2,027 1,779 2.7 2.5 2.7 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291,377 285,890 292,045 284,825 12,295 11,262 11,502 10,845 4.2 3.9 3.9 3.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,730 39,030 39,150 38,545 2,089 1,690 1,950 1,683 5.3 4.3 5.0 4.4

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,571 47,762 47,814 46,703 1,653 1,630 1,620 1,665 3.4 3.4 3.4 3.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,115,404 1,090,577 1,099,152 1,094,762 128,146 101,870 113,067 101,736 11.5 9.3 10.3 9.3

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 89,807 87,790 88,726 88,111 14,381 11,018 12,462 10,746 16.0 12.6 14.0 12.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,690 52,038 51,978 52,235 7,264 6,069 6,163 5,943 13.8 11.7 11.9 11.4

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,861 20,978 21,422 20,934 3,933 2,956 3,549 2,917 18.0 14.1 16.6 13.9

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,973 26,719 28,517 26,867 4,171 2,919 3,804 2,943 14.4 10.9 13.3 11.0

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,710 92,453 94,330 93,048 14,379 10,874 13,013 10,972 15.0 11.8 13.8 11.8

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,479 34,233 36,123 34,520 6,001 4,336 5,447 4,435 16.5 12.7 15.1 12.8

San Juan-Carolina-Caguas. . . . . . . . . . . . 744,703 731,962 731,724 734,169 70,534 57,886 61,629 57,784 9.5 7.9 8.4 7.9

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

April May Number Percent of labor force

2017 2018 2017 2018p

April May April May

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,240,604 19,246,059 19,213,327 19,266,046 902,414 739,014 846,642 711,537 4.7 3.8 4.4 3.7

Los Angeles-Long Beach-Anaheim. . . 6,716,182 6,740,199 6,700,384 6,730,233 280,811 249,683 277,166 247,927 4.2 3.7 4.1 3.7

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,609,645 1,603,402 1,608,091 1,599,791 54,063 41,970 51,556 41,081 3.4 2.6 3.2 2.6

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,106,537 5,136,797 5,092,293 5,130,442 226,748 207,713 225,610 206,846 4.4 4.0 4.4 4.0

San Francisco-Oakland-Hayward. . . . . 2,559,590 2,554,991 2,555,405 2,556,120 81,781 62,187 78,459 60,600 3.2 2.4 3.1 2.4

Oakland-Hayward-Berkeley. . . . . . . . 1,404,275 1,401,050 1,403,179 1,402,236 50,553 38,394 48,207 37,382 3.6 2.7 3.4 2.7

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,014,891 1,014,614 1,011,559 1,013,989 27,333 20,803 26,527 20,360 2.7 2.1 2.6 2.0

San Rafael. . . . . . . . . . . . . . . . . . . . . . 140,424 139,327 140,667 139,895 3,895 2,990 3,725 2,858 2.8 2.1 2.6 2.0

District of Columbia. . . . . . . . . . . . . . . . . . . 399,234 408,753 398,908 408,983 22,272 20,532 23,115 21,104 5.6 5.0 5.8 5.2

Washington-Arlington-Alexandria2. . . . 3,375,015 3,410,187 3,387,247 3,425,946 114,802 106,894 122,253 110,534 3.4 3.1 3.6 3.2

Silver Spring-Frederick-Rockville3.. . 681,419 686,956 683,307 688,427 20,158 21,245 22,462 22,505 3.0 3.1 3.3 3.3

Washington-Arlington-Alexandria2.. . 2,693,596 2,723,231 2,703,940 2,737,519 94,644 85,649 99,791 88,029 3.5 3.1 3.7 3.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,091,093 10,202,550 10,120,621 10,270,841 398,973 347,903 408,129 345,124 4.0 3.4 4.0 3.4

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,143,080 3,157,535 3,148,984 3,172,884 131,070 115,869 133,176 112,429 4.2 3.7 4.2 3.5

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,020,659 1,032,434 1,029,243 1,042,154 37,909 32,830 39,113 33,059 3.7 3.2 3.8 3.2

Miami-Miami Beach-Kendall. . . . . . . 1,396,688 1,400,930 1,392,720 1,403,471 65,840 59,455 65,846 55,663 4.7 4.2 4.7 4.0

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 725,733 724,171 727,021 727,259 27,321 23,584 28,217 23,707 3.8 3.3 3.9 3.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,462,314 6,448,363 6,460,273 6,468,858 291,942 233,043 283,455 228,259 4.5 3.6 4.4 3.5

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,870,738 4,839,903 4,887,412 4,854,481 219,951 173,761 213,177 164,345 4.5 3.6 4.4 3.4

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,755,838 3,706,656 3,772,672 3,713,798 174,070 131,904 168,688 121,391 4.6 3.6 4.5 3.3

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 320,052 325,848 319,278 328,687 13,502 12,031 12,987 12,421 4.2 3.7 4.1 3.8

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 338,997 340,418 339,784 343,407 14,476 13,887 14,343 14,465 4.3 4.1 4.2 4.2

Lake County-Kenosha County2. . . . 455,851 466,981 455,678 468,589 17,903 15,939 17,159 16,068 3.9 3.4 3.8 3.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,646,782 3,751,378 3,642,292 3,789,531 130,569 123,195 135,023 126,878 3.6 3.3 3.7 3.3

Boston-Cambridge-Nashua2. . . . . . . . . 2,696,477 2,772,265 2,688,443 2,795,358 87,026 82,074 91,510 85,741 3.2 3.0 3.4 3.1

Boston-Cambridge-Newton. . . . . . . . 1,603,267 1,651,163 1,597,829 1,665,575 48,359 45,361 52,232 48,309 3.0 2.7 3.3 2.9

Brockton-Bridgewater-Easton. . . . . . 107,145 110,299 106,809 110,767 4,337 3,941 4,502 4,109 4.0 3.6 4.2 3.7

Framingham. . . . . . . . . . . . . . . . . . . . . 156,599 160,238 156,175 161,649 4,695 4,376 4,894 4,523 3.0 2.7 3.1 2.8

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 113,939 118,042 114,282 119,248 3,857 3,656 3,773 3,579 3.4 3.1 3.3 3.0

Lawrence-Methuen Town-Salem2.. . 96,718 99,149 96,305 100,161 4,766 4,513 4,809 4,646 4.9 4.6 5.0 4.6

Lowell-Billerica-Chelmsford2. . . . . . . 189,352 195,454 188,701 196,609 6,832 6,376 6,943 6,573 3.6 3.3 3.7 3.3

Lynn-Saugus-Marblehead. . . . . . . . . 84,307 86,644 84,060 87,758 2,874 2,695 3,079 2,855 3.4 3.1 3.7 3.3

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,712 171,884 169,471 172,452 5,016 5,232 4,801 5,004 3.0 3.0 2.8 2.9

Peabody-Salem-Beverly. . . . . . . . . . . 92,000 93,616 91,557 94,644 2,965 2,871 3,138 3,051 3.2 3.1 3.4 3.2

Taunton-Middleborough-Norton. . . . 83,438 85,776 83,254 86,495 3,325 3,053 3,339 3,092 4.0 3.6 4.0 3.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,829,355 4,879,003 4,865,026 4,925,940 181,556 194,126 187,178 187,197 3.8 4.0 3.8 3.8

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,076,197 2,093,167 2,092,693 2,117,708 69,782 76,063 70,630 77,836 3.4 3.6 3.4 3.7

Detroit-Dearborn-Livonia. . . . . . . . . . 775,431 784,158 778,231 792,130 31,750 33,608 31,639 35,971 4.1 4.3 4.1 4.5

Warren-Troy-Farmington Hills. . . . . . 1,300,766 1,309,010 1,314,464 1,325,577 38,032 42,456 38,992 41,864 2.9 3.2 3.0 3.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,687,025 9,620,036 9,690,531 9,627,528 421,390 418,211 428,582 356,305 4.4 4.3 4.4 3.7

New York-Newark-Jersey City2. . . . . . 10,094,000 9,999,625 10,104,601 10,002,901 415,423 402,193 431,005 353,951 4.1 4.0 4.3 3.5

Dutchess County-Putnam County.. . 195,589 194,571 195,938 195,994 7,800 7,838 8,010 7,000 4.0 4.0 4.1 3.6

Nassau County-Suffolk County. . . . . 1,484,141 1,473,435 1,494,724 1,487,013 58,583 58,823 60,639 52,427 3.9 4.0 4.1 3.5

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,248,161 1,219,703 1,247,278 1,217,193 52,502 49,945 54,857 45,739 4.2 4.1 4.4 3.8

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,166,109 7,111,916 7,166,661 7,102,701 296,538 285,587 307,499 248,785 4.1 4.0 4.3 3.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,431,950 6,323,416 6,438,733 6,348,830 290,893 253,225 312,702 233,594 4.5 4.0 4.9 3.7

Philadelphia-Camden-Wilmington2. . . . 3,092,587 3,069,659 3,090,567 3,070,123 134,892 121,364 145,213 114,405 4.4 4.0 4.7 3.7

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 641,748 638,379 640,955 636,079 26,451 25,566 28,291 23,489 4.1 4.0 4.4 3.7

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,071,534 1,055,642 1,074,461 1,062,280 38,404 33,944 42,318 31,911 3.6 3.2 3.9 3.0

Philadelphia. . . . . . . . . . . . . . . . . . . . . 999,099 991,188 998,390 987,535 52,989 47,212 57,923 45,147 5.3 4.8 5.8 4.6

Wilmington3. . . . . . . . . . . . . . . . . . . . . 380,206 384,450 376,761 384,229 17,048 14,642 16,681 13,858 4.5 3.8 4.4 3.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,527,232 13,863,075 13,498,726 13,836,477 559,386 520,621 557,907 515,248 4.1 3.8 4.1 3.7

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,773,905 3,904,883 3,767,275 3,899,693 132,899 131,095 134,860 131,059 3.5 3.4 3.6 3.4

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,547,672 2,641,222 2,542,826 2,635,929 89,460 88,933 90,780 88,671 3.5 3.4 3.6 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . 1,226,233 1,263,661 1,224,449 1,263,764 43,439 42,162 44,080 42,388 3.5 3.3 3.6 3.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,693,551 3,741,740 3,702,170 3,753,803 162,273 164,932 165,916 165,028 4.4 4.4 4.5 4.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,059,684 2,102,160 2,061,397 2,100,223 74,040 74,596 79,590 79,329 3.6 3.5 3.9 3.8

Seattle-Bellevue-Everett. . . . . . . . . . . 1,647,507 1,684,147 1,648,432 1,677,595 52,465 51,948 57,825 57,398 3.2 3.1 3.5 3.4

Tacoma-Lakewood. . . . . . . . . . . . . . . 412,177 418,013 412,965 422,628 21,575 22,648 21,765 21,931 5.2 5.4 5.3 5.2

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,014.6 2,035.4 2,020.8 2,042.4 21.6 1.1

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.4 47.1 47.6 0.5 1.1

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.6 65.9 64.3 65.7 1.4 2.2

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527.6 535.3 530.4 538.1 7.7 1.5

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.6 78.3 76.6 79.5 2.9 3.8

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 54.5 54.5 55.2 0.7 1.3

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.0 58.4 58.3 58.6 0.3 0.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.0 57.1 57.2 57.3 0.1 0.2

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 38.4 38.3 38.5 0.2 0.5

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.7 237.9 232.3 237.0 4.7 2.0

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.2 186.5 184.4 186.8 2.4 1.3

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.8 177.3 179.0 178.1 -0.9 -0.5

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.6 110.0 107.1 110.1 3.0 2.8

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 322.2 321.3 335.3 332.6 -2.7 -0.8

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.5 173.5 179.2 178.6 -0.6 -0.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 36.7 38.7 38.6 -0.1 -0.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,780.1 2,844.5 2,766.6 2,837.3 70.7 2.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 68.6 67.9 68.2 0.3 0.4

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 51.6 50.1 51.8 1.7 3.4

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,036.3 2,094.1 2,025.6 2,087.4 61.8 3.1

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 65.7 64.0 65.6 1.6 2.5

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.9 33.5 34.0 33.4 -0.6 -1.8

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.6 384.7 378.1 383.4 5.3 1.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 54.6 53.9 54.1 0.2 0.4

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,244.3 1,249.9 1,247.1 1,253.6 6.5 0.5

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.9 260.3 254.8 263.0 8.2 3.2

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.0 112.4 113.6 112.9 -0.7 -0.6

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 38.9 38.2 38.6 0.4 1.0

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 58.5 57.6 58.7 1.1 1.9

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.5 360.6 360.0 363.5 3.5 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 32.9 33.1 33.0 -0.1 -0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,725.4 17,082.6 16,821.3 17,130.9 309.6 1.8

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.1 260.8 258.2 261.7 3.5 1.4

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.9 83.8 82.7 84.5 1.8 2.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.2 53.3 54.4 1.1 2.1

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.9 353.2 345.4 355.1 9.7 2.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.8 39.3 39.5 40.1 0.6 1.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,023.7 6,115.0 6,049.6 6,130.8 81.2 1.3

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 38.3 37.8 39.2 1.4 3.7

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.1 69.3 67.2 69.3 2.1 3.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.4 176.8 174.3 177.8 3.5 2.0

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.6 72.0 72.6 72.9 0.3 0.4

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.8 308.0 305.5 309.4 3.9 1.3

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 66.8 66.6 67.4 0.8 1.2

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,439.6 1,489.4 1,447.2 1,491.9 44.7 3.1

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 959.5 981.2 966.6 983.7 17.1 1.8

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.3 142.3 138.6 143.0 4.4 3.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,448.4 1,480.2 1,453.3 1,485.8 32.5 2.2

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,382.0 2,427.3 2,393.9 2,435.8 41.9 1.8

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,086.5 1,124.3 1,093.0 1,127.8 34.8 3.2

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 118.2 120.2 118.9 120.8 1.9 1.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.9 104.9 103.5 106.6 3.1 3.0

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.5 185.5 183.2 186.5 3.3 1.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.3 208.4 207.0 210.7 3.7 1.8

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.4 240.8 233.6 241.6 8.0 3.4

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.6 140.0 138.5 140.4 1.9 1.4

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.0 127.9 125.6 129.3 3.7 2.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.3 44.3 43.9 44.8 0.9 2.1

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,640.6 2,707.6 2,645.7 2,719.7 74.0 2.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.3 193.1 190.0 193.8 3.8 2.0

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.9 294.3 287.3 295.9 8.6 3.0

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,449.3 1,489.5 1,460.2 1,501.1 40.9 2.8

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.6 169.2 167.1 172.6 5.5 3.3

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 64.0 63.2 64.6 1.4 2.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 108.1 104.7 108.9 4.2 4.0

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.9 62.6 62.7 63.1 0.4 0.6

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,676.3 1,684.9 1,692.7 1,703.6 10.9 0.6

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.2 403.9 408.8 409.9 1.1 0.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.1 78.9 78.7 79.6 0.9 1.1

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 570.9 576.4 574.0 580.2 6.2 1.1

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.0 285.9 286.7 288.3 1.6 0.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.4 129.9 130.8 132.7 1.9 1.5

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.6 65.8 67.2 67.1 -0.1 -0.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453.8 459.0 456.7 464.6 7.9 1.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.9 70.5 69.8 71.1 1.3 1.9

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.1 157.1 161.9 162.3 0.4 0.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 790.9 797.0 792.6 797.8 5.2 0.7

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,269.2 3,303.0 3,286.9 3,328.2 41.3 1.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,598.7 8,780.4 8,598.0 8,784.5 186.5 2.2

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267.0 268.1 265.0 265.4 0.4 0.2

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.4 118.6 114.6 119.7 5.1 4.5

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.7 204.6 202.4 205.3 2.9 1.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 146.0 140.7 143.0 2.3 1.6

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.7 33.7 33.6 -0.1 -0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688.1 707.6 691.1 713.5 22.4 3.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.4 225.9 220.6 226.5 5.9 2.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,640.7 2,666.6 2,645.8 2,669.2 23.4 0.9

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.3 145.6 146.7 144.3 -2.4 -1.6

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302.1 309.0 301.4 308.5 7.1 2.4

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.5 104.1 102.6 104.5 1.9 1.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,244.7 1,284.9 1,246.9 1,290.9 44.0 3.5

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.3 217.3 215.4 218.3 2.9 1.3

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.0 86.8 85.0 87.9 2.9 3.4

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.2 180.0 178.4 180.6 2.2 1.2

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.6 148.7 146.9 148.9 2.0 1.4

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.7 49.3 48.2 49.1 0.9 1.9

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.6 51.8 52.3 0.5 1.0

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 26.0 26.3 25.7 -0.6 -2.3

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.6 184.8 180.2 182.7 2.5 1.4

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,323.4 1,356.5 1,321.6 1,352.0 30.4 2.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 28.8 28.4 28.7 0.3 1.1

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,442.0 4,517.9 4,454.6 4,535.1 80.5 1.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.0 62.7 63.2 0.5 0.8

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.6 99.5 96.7 99.4 2.7 2.8

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,711.4 2,757.1 2,723.5 2,769.5 46.0 1.7

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238.1 245.9 235.1 243.3 8.2 3.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.3 44.3 44.7 0.4 0.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.9 121.6 121.0 122.5 1.5 1.2

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.3 67.7 67.3 68.0 0.7 1.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.1 92.7 89.5 93.5 4.0 4.5

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 20.5 20.4 20.6 0.2 1.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 102.8 102.7 103.5 0.8 0.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.5 40.8 41.6 0.8 2.0

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.6 179.9 179.7 180.8 1.1 0.6

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 57.0 56.3 56.8 0.5 0.9

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.7 74.8 73.8 75.2 1.4 1.9

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 652.0 662.0 654.0 665.1 11.1 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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.8 77.3 76.3 77.8 1.5 2.0

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.6 483.8 478.2 485.7 7.5 1.6

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 708.4 731.0 717.7 738.4 20.7 2.9

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.9 325.1 316.6 328.0 11.4 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 64.3 64.2 66.5 2.3 3.6

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.9 66.4 66.0 67.1 1.1 1.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.8 29.6 28.9 29.8 0.9 3.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 37.9 37.2 38.1 0.9 2.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,034.6 6,080.0 6,085.2 6,143.0 57.8 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.4 94.7 94.5 95.0 0.5 0.5

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 57.6 57.2 56.5 -0.7 -1.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 113.9 111.6 112.9 1.3 1.2

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,664.2 4,695.1 4,714.9 4,753.5 38.6 0.8

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 28.0 28.6 28.2 -0.4 -1.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.4 186.0 185.3 188.0 2.7 1.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 51.3 51.3 51.8 0.5 1.0

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 48.1 46.5 48.3 1.8 3.9

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.9 172.5 174.5 174.8 0.3 0.2

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.3 150.8 151.5 152.3 0.8 0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.9 112.5 114.3 113.5 -0.8 -0.7

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,099.9 3,126.7 3,122.3 3,153.6 31.3 1.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.3 76.4 75.1 74.5 -0.6 -0.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 53.9 53.0 54.3 1.3 2.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.8 143.4 137.2 145.3 8.1 5.9

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.1 162.9 158.9 163.7 4.8 3.0

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.6 224.4 223.0 227.1 4.1 1.8

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,054.3 1,070.4 1,064.5 1,083.0 18.5 1.7

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 43.2 41.8 43.6 1.8 4.3

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 106.4 99.5 106.5 7.0 7.0

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

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 53.2 51.9 51.5 -0.4 -0.8

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 144.1 144.1 145.4 1.3 0.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 71.0 71.5 71.3 -0.2 -0.3

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,577.6 1,585.8 1,585.0 1,603.9 18.9 1.2

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.6 55.8 52.9 54.1 1.2 2.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.2 145.1 144.3 145.9 1.6 1.1

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.5 368.3 367.3 375.7 8.4 2.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.2 59.9 60.7 60.5 -0.2 -0.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.6 103.1 101.5 102.6 1.1 1.1

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.9 87.9 87.7 88.6 0.9 1.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.4 91.2 91.2 91.6 0.4 0.4

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,402.1 1,421.3 1,406.1 1,429.1 23.0 1.6

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.6 54.9 53.7 53.7 0.0 0.0

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 44.0 42.5 42.4 -0.1 -0.2

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.8 111.7 112.0 111.2 -0.8 -0.7

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.3 296.3 296.1 299.0 2.9 1.0

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,919.4 1,929.9 1,928.0 1,944.0 16.0 0.8

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.1 78.3 77.2 78.4 1.2 1.6

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 56.8 56.9 57.3 0.4 0.7

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.9 280.7 278.4 282.2 3.8 1.4

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 662.3 670.9 667.2 675.8 8.6 1.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.6 54.4 55.1 0.7 1.3

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,974.3 1,994.6 1,981.3 2,000.5 19.2 1.0

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.4 62.0 62.3 0.3 0.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.5 412.1 408.3 411.2 2.9 0.7

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.9 46.1 46.8 0.7 1.5

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.6 86.0 86.1 86.4 0.3 0.3

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.1 201.3 202.6 202.5 -0.1 0.0

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.5 119.2 116.2 120.1 3.9 3.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 78.8 78.8 79.1 0.3 0.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577.7 583.0 581.4 585.8 4.4 0.8

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.8 180.3 179.5 180.4 0.9 0.5

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 611.0 614.6 623.8 631.3 7.5 1.2

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.1 66.3 66.7 66.1 -0.6 -0.9

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.5 50.6 51.0 50.9 -0.1 -0.2

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.0 204.5 207.9 210.0 2.1 1.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,719.0 2,728.4 2,741.4 2,752.4 11.0 0.4

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,392.9 1,416.3 1,404.1 1,425.8 21.7 1.5

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.2 45.0 45.5 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.5 39.5 40.0 0.5 1.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.3 105.1 105.2 105.9 0.7 0.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,590.4 3,635.7 3,620.6 3,671.3 50.7 1.4

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.3 102.6 107.0 109.0 2.0 1.9

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,728.2 2,763.9 2,744.5 2,789.6 45.1 1.6

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 53.4 53.1 53.9 0.8 1.5

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.3 68.3 68.7 0.4 0.6

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.9 40.9 41.7 41.9 0.2 0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.4 340.0 337.0 341.2 4.2 1.2

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.7 291.1 288.0 293.8 5.8 2.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,349.2 4,392.8 4,402.2 4,457.9 55.7 1.3

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.2 224.8 217.6 224.6 7.0 3.2

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 58.1 59.3 58.9 -0.4 -0.7

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 35.5 35.3 35.5 0.2 0.6

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,993.1 2,009.7 2,019.4 2,036.6 17.2 0.9

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.6 140.6 142.3 142.7 0.4 0.3

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551.1 563.8 557.4 569.1 11.7 2.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.9 58.5 58.8 59.1 0.3 0.5

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.7 149.0 147.7 149.3 1.6 1.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.5 240.2 239.0 240.6 1.6 0.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 37.1 37.8 37.7 -0.1 -0.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.5 42.4 42.8 0.4 0.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 63.6 65.5 64.8 -0.7 -1.1

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 61.7 63.5 62.7 -0.8 -1.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.5 87.1 87.6 87.8 0.2 0.2

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,913.4 2,922.2 2,944.6 2,973.8 29.2 1.0

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.6 137.6 137.6 138.7 1.1 0.8

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.9 57.7 59.0 1.3 2.3

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.4 1,989.6 1,994.8 2,023.8 29.0 1.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.1 117.8 120.3 119.3 -1.0 -0.8

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.3 110.9 110.7 112.7 2.0 1.8

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,154.9 1,169.9 1,154.5 1,167.8 13.3 1.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.5 155.7 155.6 155.8 0.2 0.1

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 65.7 64.3 65.7 1.4 2.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.8 284.5 280.1 284.3 4.2 1.5

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,877.2 2,908.4 2,888.3 2,919.7 31.4 1.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 45.5 44.4 45.5 1.1 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.0 101.2 101.1 101.0 -0.1 -0.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 77.7 78.4 78.0 -0.4 -0.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.5 81.7 81.2 81.8 0.6 0.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,080.0 1,097.2 1,083.8 1,099.8 16.0 1.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.5 65.0 64.7 65.6 0.9 1.4

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,380.5 1,390.4 1,387.7 1,400.0 12.3 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.2 215.1 213.7 216.1 2.4 1.1

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469.2 471.1 476.3 480.0 3.7 0.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.3 85.1 86.6 86.8 0.2 0.2

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.0 35.8 36.2 36.4 0.2 0.6

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 61.7 62.1 62.7 0.6 1.0

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019.4 1,026.4 1,026.7 1,039.7 13.0 1.3

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 42.6 42.4 43.0 0.6 1.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.0 189.9 189.6 191.0 1.4 0.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499.6 503.0 503.2 510.2 7.0 1.4

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,330.4 1,373.8 1,342.8 1,380.4 37.6 2.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.9 30.7 30.3 31.1 0.8 2.6

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 970.7 1,000.6 977.8 1,005.5 27.7 2.8

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.4 238.6 231.5 239.4 7.9 3.4

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.5 678.2 675.7 688.7 13.0 1.9

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.9 55.3 55.1 56.1 1.0 1.8

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5 112.9 112.8 114.0 1.2 1.1

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.5 92.5 93.5 95.1 1.6 1.7

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,095.2 4,151.5 4,152.0 4,205.6 53.6 1.3

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.0 129.9 129.0 130.7 1.7 1.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 40.1 43.1 46.3 3.2 7.4

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.5 273.1 267.7 275.3 7.6 2.8

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 59.5 59.4 60.4 1.0 1.7

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 833.0 842.5 832.8 846.6 13.8 1.7

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.9 394.8 389.7 397.0 7.3 1.9

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.3 49.3 49.5 49.4 -0.1 -0.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 70.7 71.6 70.8 -0.8 -1.1

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.3 63.2 63.8 0.6 0.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,470.2 9,570.8 9,554.1 9,664.6 110.5 1.2

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469.3 473.0 470.2 474.3 4.1 0.9

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.4 103.9 105.6 105.5 -0.1 -0.1

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 558.6 566.0 565.4 574.6 9.2 1.6

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 36.3 36.9 36.8 -0.1 -0.3

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.3 56.1 56.6 0.5 0.9

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.2 67.9 65.5 67.3 1.8 2.7

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.1 62.9 63.5 0.6 1.0

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,613.9 9,723.5 9,710.1 9,826.3 116.2 1.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535.9 539.9 537.9 548.6 10.7 2.0

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.1 319.9 317.7 321.1 3.4 1.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.5 125.6 128.2 127.3 -0.9 -0.7

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.5 42.6 43.1 0.5 1.2

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,402.3 4,482.2 4,436.0 4,533.8 97.8 2.2

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.8 193.5 191.5 194.2 2.7 1.4

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 61.7 61.4 62.2 0.8 1.3

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,172.8 1,205.1 1,182.9 1,215.3 32.4 2.7

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.2 313.9 313.0 317.4 4.4 1.4

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.5 131.3 130.7 131.7 1.0 0.8

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 41.6 42.5 41.9 -0.6 -1.4

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.4 363.5 361.1 365.2 4.1 1.1

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.7 80.6 79.8 80.8 1.0 1.3

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.5 154.9 154.6 156.1 1.5 1.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 49.9 49.8 50.0 0.2 0.4

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 44.9 45.1 45.1 0.0 0.0

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 610.4 627.5 615.8 634.5 18.7 3.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.9 55.5 56.3 55.7 -0.6 -1.1

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.9 127.0 127.5 128.7 1.2 0.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.9 266.9 263.8 268.6 4.8 1.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431.3 423.0 436.6 433.5 -3.1 -0.7

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 72.1 74.5 73.5 -1.0 -1.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.8 140.9 142.9 143.4 0.5 0.3

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 56.1 56.7 57.3 0.6 1.1

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,517.6 5,564.5 5,568.6 5,642.2 73.6 1.3

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Ohio - Continued

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.8 343.2 346.6 349.1 2.5 0.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 173.6 175.3 175.2 -0.1 -0.1

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,093.6 1,096.2 1,103.5 1,115.4 11.9 1.1

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,055.2 1,060.4 1,066.6 1,080.3 13.7 1.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,079.4 1,093.0 1,089.0 1,100.7 11.7 1.1

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387.6 395.1 388.6 391.5 2.9 0.7

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 53.2 54.0 53.6 -0.4 -0.7

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 52.5 52.8 53.1 0.3 0.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 50.2 51.2 50.9 -0.3 -0.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.1 308.3 310.6 309.8 -0.8 -0.3

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 40.8 41.7 41.4 -0.3 -0.7

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.1 217.7 222.9 220.4 -2.5 -1.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,657.9 1,686.7 1,663.7 1,692.0 28.3 1.7

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.0 25.4 26.0 25.4 -0.6 -2.3

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.0 45.9 46.0 0.1 0.2

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633.4 647.1 634.4 647.9 13.5 2.1

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445.9 457.1 447.6 460.3 12.7 2.8

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,869.6 1,904.2 1,879.4 1,921.6 42.2 2.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 45.6 44.5 45.7 1.2 2.7

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 83.2 81.7 84.4 2.7 3.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 43.9 43.7 44.1 0.4 0.9

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.2 162.5 160.6 164.1 3.5 2.2

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.1 27.0 26.4 27.1 0.7 2.7

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.9 88.7 86.6 89.3 2.7 3.1

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,171.4 1,192.0 1,175.2 1,201.8 26.6 2.3

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.0 166.4 165.3 167.8 2.5 1.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,945.6 6,018.0 5,978.5 6,053.0 74.5 1.2

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368.7 373.5 372.6 377.5 4.9 1.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 61.4 62.2 62.4 0.2 0.3

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 43.3 43.4 43.3 -0.1 -0.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 61.1 60.3 61.6 1.3 2.2

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.0 58.4 59.0 0.6 1.0

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.8 127.7 127.8 129.0 1.2 0.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 36.1 35.4 36.2 0.8 2.3

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.1 344.3 343.8 348.3 4.5 1.3

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 55.9 55.9 56.3 0.4 0.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.0 256.8 255.2 259.1 3.9 1.5

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 52.7 52.5 53.0 0.5 1.0

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,908.6 2,948.2 2,925.2 2,964.9 39.7 1.4

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,174.0 1,186.7 1,183.1 1,194.8 11.7 1.0

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.6 180.4 178.2 181.4 3.2 1.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.5 265.9 263.9 268.1 4.2 1.6

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 80.3 74.8 75.4 0.6 0.8

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 52.8 53.5 52.9 -0.6 -1.1

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.9 187.0 186.8 188.9 2.1 1.1

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491.0 497.5 497.7 505.5 7.8 1.6

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585.5 593.7 593.3 601.0 7.7 1.3

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,089.4 2,123.7 2,102.1 2,137.1 35.0 1.7

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.7 357.0 355.4 358.9 3.5 1.0

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.2 397.8 399.3 400.5 1.2 0.3

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.1 89.4 88.7 89.9 1.2 1.4

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414.0 422.6 415.7 424.0 8.3 2.0

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.2 81.2 80.2 82.2 2.0 2.5

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.4 171.2 171.9 174.4 2.5 1.5

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.5 156.5 152.7 156.3 3.6 2.4

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.8 39.2 39.9 0.7 1.8

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431.7 434.3 439.4 445.3 5.9 1.3

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 67.9 69.4 70.2 0.8 1.2

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

South Dakota - Continued

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.9 155.3 156.6 158.6 2.0 1.3

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,009.0 3,055.2 3,011.1 3,066.7 55.6 1.8

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.8 262.9 255.8 262.5 6.7 2.6

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 91.5 90.1 91.0 0.9 1.0

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.9 46.1 47.0 0.9 2.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 69.2 67.7 69.5 1.8 2.7

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.2 80.3 80.3 80.3 0.0 0.0

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.3 123.0 122.8 123.0 0.2 0.2

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396.3 397.8 397.1 399.4 2.3 0.6

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640.1 649.1 639.8 650.0 10.2 1.6

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.5 46.1 46.8 0.7 1.5

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 975.1 998.3 976.9 1,000.1 23.2 2.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,170.9 12,517.1 12,231.4 12,576.1 344.7 2.8

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 70.1 68.8 70.3 1.5 2.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.0 121.6 120.0 122.5 2.5 2.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,028.1 1,063.0 1,034.9 1,068.8 33.9 3.3

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.5 163.8 164.8 163.4 -1.4 -0.8

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 142.7 142.3 143.1 0.8 0.6

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.8 121.2 116.6 121.9 5.3 4.5

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194.1 192.0 195.1 193.3 -1.8 -0.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,568.0 3,687.3 3,585.5 3,707.5 122.0 3.4

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.2 317.5 314.0 318.2 4.2 1.3

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,013.0 3,098.8 3,029.0 3,108.2 79.2 2.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 145.7 144.1 146.6 2.5 1.7

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.1 104.6 103.5 105.0 1.5 1.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.8 96.8 95.8 96.7 0.9 0.9

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.0 150.2 148.2 151.1 2.9 2.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.0 262.9 260.0 264.8 4.8 1.8

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.2 100.9 92.4 102.8 10.4 11.3

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 76.1 72.7 75.9 3.2 4.4

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.2 48.8 49.4 0.6 1.2

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,033.3 1,055.9 1,037.3 1,060.6 23.3 2.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.7 47.1 48.3 1.2 2.5

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.2 60.4 60.4 60.8 0.4 0.7

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 106.5 105.7 108.0 2.3 2.2

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 40.4 41.5 40.5 -1.0 -2.4

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.6 122.1 120.9 122.3 1.4 1.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 59.2 59.0 59.4 0.4 0.7

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,461.4 1,510.5 1,464.1 1,516.0 51.9 3.5

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 63.1 62.1 63.7 1.6 2.6

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.9 258.6 256.1 259.8 3.7 1.4

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.1 258.3 244.7 254.7 10.0 4.1

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 66.5 64.2 67.0 2.8 4.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 711.7 731.6 714.8 735.9 21.1 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.5 310.6 311.7 312.4 0.7 0.2

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.4 124.4 124.8 124.3 -0.5 -0.4

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,951.3 3,992.8 3,960.3 4,018.0 57.7 1.5

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 78.1 76.7 77.2 0.5 0.7

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.6 121.4 117.5 121.1 3.6 3.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 69.3 66.5 67.6 1.1 1.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.9 105.7 103.4 105.8 2.4 2.3

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 670.0 676.8 672.4 682.1 9.7 1.4

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.2 161.1 160.8 162.1 1.3 0.8

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.6 50.1 50.8 0.7 1.4

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 781.3 780.5 782.6 787.7 5.1 0.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 65.3 63.7 65.6 1.9 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.1 3,391.7 3,331.3 3,427.8 96.5 2.9

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.7 95.1 93.6 95.9 2.3 2.5

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.0 92.0 91.0 92.8 1.8 2.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 114.8 113.6 116.2 2.6 2.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 40.6 40.1 40.8 0.7 1.7

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.5 50.3 51.5 1.2 2.4

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.4 119.0 115.7 119.7 4.0 3.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,981.3 2,043.8 1,997.4 2,063.5 66.1 3.3

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.1 244.8 246.4 247.7 1.3 0.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.7 29.3 27.9 29.5 1.6 5.7

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 45.3 44.9 46.3 1.4 3.1

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.9 89.9 87.3 91.1 3.8 4.4

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 743.2 751.1 748.1 767.3 19.2 2.6

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 44.7 45.4 46.1 0.7 1.5

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.6 116.6 117.5 118.4 0.9 0.8

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.8 137.5 139.2 139.0 -0.2 -0.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 73.4 72.2 73.8 1.6 2.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.7 40.1 40.4 0.3 0.7

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 66.6 67.5 67.7 0.2 0.3

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,934.8 2,954.9 2,959.4 2,977.7 18.3 0.6

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.6 125.4 125.8 127.4 1.6 1.3

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 87.4 87.1 88.7 1.6 1.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.8 48.3 48.0 48.8 0.8 1.7

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.2 178.5 178.5 179.5 1.0 0.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.3 69.2 69.0 70.1 1.1 1.6

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.6 80.5 79.5 80.9 1.4 1.8

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.1 405.1 400.5 405.0 4.5 1.1

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 863.4 874.5 869.4 876.1 6.7 0.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.4 98.4 98.0 98.9 0.9 0.9

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.3 77.1 78.1 77.7 -0.4 -0.5

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 62.8 62.6 63.6 1.0 1.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.5 73.3 72.3 73.6 1.3 1.8

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275.2 280.1 283.0 287.2 4.2 1.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.6 38.6 39.2 0.6 1.6

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 46.4 46.7 46.7 0.0 0.0

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 880.2 849.6 881.1 851.9 -29.2 -3.3

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.5 51.1 51.4 51.2 -0.2 -0.4

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 33.1 33.9 33.3 -0.6 -1.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.6 14.1 14.7 14.2 -0.5 -3.4

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.8 30.0 32.8 30.1 -2.7 -8.2

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 67.1 68.6 67.5 -1.1 -1.6

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.7 18.7 19.6 18.8 -0.8 -4.1

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640.3 620.1 637.9 622.0 -15.9 -2.5

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 35.9 38.6 36.0 -2.6 -6.7

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

April May Change from

May 2017 to May 2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,725.4 17,082.6 16,821.3 17,130.9 309.6 1.8

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,023.7 6,115.0 6,049.6 6,130.8 81.2 1.3

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,606.7 1,634.1 1,616.9 1,634.2 17.3 1.1

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,417.0 4,480.9 4,432.7 4,496.6 63.9 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,382.0 2,427.3 2,393.9 2,435.8 41.9 1.8

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,156.5 1,179.7 1,164.6 1,185.0 20.4 1.8

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,110.4 1,132.0 1,113.1 1,134.1 21.0 1.9

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.1 115.6 116.2 116.7 0.5 0.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 790.9 797.0 792.6 797.8 5.2 0.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,269.2 3,303.0 3,286.9 3,328.2 41.3 1.3

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.3 595.7 594.4 600.3 5.9 1.0

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,678.9 2,707.3 2,692.5 2,727.9 35.4 1.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,598.7 8,780.4 8,598.0 8,784.5 186.5 2.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,640.7 2,666.6 2,645.8 2,669.2 23.4 0.9

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 837.6 850.6 841.6 852.2 10.6 1.3

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,177.8 1,189.7 1,180.4 1,192.5 12.1 1.0

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625.3 626.3 623.8 624.5 0.7 0.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,034.6 6,080.0 6,085.2 6,143.0 57.8 0.9

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,664.2 4,695.1 4,714.9 4,753.5 38.6 0.8

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,717.4 3,740.6 3,754.3 3,786.8 32.5 0.9

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.7 258.4 260.9 262.4 1.5 0.6

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.1 277.0 281.3 281.1 -0.2 -0.1

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.0 419.1 418.4 423.2 4.8 1.1

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,590.4 3,635.7 3,620.6 3,671.3 50.7 1.4

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,728.2 2,763.9 2,744.5 2,789.6 45.1 1.6

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,838.9 1,864.8 1,847.6 1,880.3 32.7 1.8

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 82.7 81.5 82.6 1.1 1.3

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.4 172.3 173.5 173.9 0.4 0.2

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 68.5 67.9 70.0 2.1 3.1

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.7 83.8 83.1 85.1 2.0 2.4

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.2 159.8 157.5 160.8 3.3 2.1

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 46.2 45.6 47.2 1.6 3.5

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.9 128.2 129.3 130.3 1.0 0.8

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.9 96.9 98.1 98.2 0.1 0.1

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.8 60.7 60.4 61.2 0.8 1.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,349.2 4,392.8 4,402.2 4,457.9 55.7 1.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,993.1 2,009.7 2,019.4 2,036.6 17.2 0.9

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 754.0 765.5 759.3 771.1 11.8 1.6

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,239.1 1,244.2 1,260.1 1,265.5 5.4 0.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,470.2 9,570.8 9,554.1 9,664.6 110.5 1.2

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,613.9 9,723.5 9,710.1 9,826.3 116.2 1.2

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.2 150.1 148.2 151.6 3.4 2.3

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,331.2 1,349.7 1,350.9 1,365.0 14.1 1.0

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,206.1 1,210.6 1,218.5 1,219.3 0.8 0.1

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,929.4 7,013.1 6,992.5 7,090.4 97.9 1.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,945.6 6,018.0 5,978.5 6,053.0 74.5 1.2

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,908.6 2,948.2 2,925.2 2,964.9 39.7 1.4

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539.9 551.8 545.8 555.7 9.9 1.8

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,064.2 1,073.2 1,073.8 1,083.4 9.6 0.9

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 946.2 962.4 946.8 960.6 13.8 1.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.3 360.8 358.8 365.2 6.4 1.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,170.9 12,517.1 12,231.4 12,576.1 344.7 2.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,568.0 3,687.3 3,585.5 3,707.5 122.0 3.4

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,545.9 2,635.8 2,557.9 2,648.6 90.7 3.5

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022.1 1,051.5 1,027.6 1,058.9 31.3 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.1 3,391.7 3,331.3 3,427.8 96.5 2.9

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,981.3 2,043.8 1,997.4 2,063.5 66.1 3.3

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,670.8 1,724.0 1,684.7 1,738.9 54.2 3.2

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.5 319.8 312.7 324.6 11.9 3.8

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 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

May 2018

(U.S. rate = 3.6 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, May 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.