For release 10:00 a.m. (EDT) Wednesday, July 3, 2019 USDL-19-1136 

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 2019

Unemployment rates were lower in May than a year earlier in 254 of the 389 metropolitan areas, 

higher in 94 areas, and unchanged in 41 areas, the U.S. Bureau of Labor Statistics reported 

today. A total of 119 areas had jobless rates of less than 3.0 percent and 2 areas had rates of at 

least 10.0 percent. Nonfarm payroll employment increased over the year in 46 metropolitan 

areas, decreased in 2 areas, and was essentially unchanged in 341 areas. The national 

unemployment rate in May was 3.4 percent, not seasonally adjusted, and was little changed from 

a year earlier.

This news release presents statistics from two monthly programs. The civilian labor force and 

unemployment data are based on the same concepts and definitions as those used for the national 

household survey estimates. These data pertain to individuals by where they reside. The 

employment data come from an establishment survey that measures nonfarm employment, hours, 

and earnings by industry. These data pertain to jobs on payrolls defined by where the 

establishments are located. For more information about the concepts and statistical 

methodologies used by these two programs, see the Technical Note. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In May, Ames, IA, and Burlington-South Burlington, VT, had the lowest unemployment rates, 

1.5 percent each, followed by Midland, TX, 1.7 percent; Iowa City, IA, 1.8 percent; and 

Dubuque, IA, 1.9 percent. Yuma, AZ, and El Centro, CA, had the highest unemployment rates, 

17.1 percent and 16.4 percent, respectively. A total of 197 areas had May jobless rates below the 

U.S. rate of 3.4 percent, 178 areas had rates above it, and 14 areas had rates equal to that of the 

nation. (See table 1 and map 1.) 

Ocean City, NJ, had the largest over-the-year unemployment rate decrease in May (-2.3 

percentage points). An additional 10 areas had rate declines of at least 1.0 percentage point. The 

largest over-the-year rate increases occurred in Flint, MI (+1.3 percentage points), and Yakima, 

WA (+1.1 points). 
-2- 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Austin-Round 

Rock, TX; San Francisco-Oakland-Hayward, CA; and San Jose-Sunnyvale-Santa Clara, CA, had 

the lowest unemployment rates in May, 2.2 percent each. Detroit-Warren-Dearborn, MI, had the 

highest jobless rate among the large areas, 4.3 percent. Forty large areas had over-the-year 

unemployment rate decreases, seven had increases, and four had no change. The largest rate 

declines occurred in Cleveland-Elyria, OH, and Houston-The Woodlands-Sugar Land, TX (-0.9 

percentage point each). The largest jobless rate increase was in Detroit-Warren-Dearborn, MI 

(+0.8 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, 1.8 percent and 1.9 percent, respectively. Detroit-Dearborn-Livonia, MI, and 

Takoma-Lakewood, WA, had the highest division rates, 5.1 percent each. (See table 2.) 

In May, 30 metropolitan divisions had over-the-year unemployment rate decreases, 5 had 

increases, and 3 had no change. The largest rate declines occurred in Camden, NJ, and Newark, 

NJ-PA (-0.8 percentage point each). The largest over-the-year jobless rate increases occurred in 

Detroit-Dearborn-Livonia, MI, and Warren-Troy-Farmington Hills, MI (+0.8 percentage point 

each).

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In May, 46 metropolitan areas had over-the-year increases in nonfarm payroll employment, 2 

had decreases, and 341 were essentially unchanged. The largest over-the-year employment 

increases occurred in New York-Newark-Jersey City, NY-NJ-PA (+114,000), Dallas-Fort 

Worth-Arlington, TX (+107,000), and Houston-The Woodlands-Sugar Land, TX (+79,800). The 

largest over-the-year percentage gains in employment occurred in Ocean City, NJ (+8.0 percent), 

Reno, NV (+6.0 percent), and Gainesville, GA (+5.1 percent). Employment fell in Bloomington, 

IN (-5,600, or -7.1 percent), and Lafayette-West Lafayette, IN (-5,000, or -4.6 percent). 

 (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 29 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 22 areas. The 

largest over-the-year percentage increases in employment in these large metropolitan areas 

occurred in Phoenix-Mesa-Scottsdale, AZ (+3.2 percent), Orlando-Kissimmee-Sanford, FL (+3.1 

percent), and Dallas-Fort Worth-Arlington, TX, and Las Vegas-Henderson-Paradise, NV (+2.9 

percent each).

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In May, nonfarm payroll employment increased in 11 of the 38 metropolitan divisions over the 

year and was essentially unchanged in 27 divisions. The largest over-the-year increase in 

employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, 
-3- 

NY-NJ (+104,800), followed by Dallas-Plano-Irving, TX (+89,400), and Los Angeles-Long 

Beach-Glendale, CA (+58,900). (See table 4.)

The largest over-the-year percentage increases in employment occurred in San FranciscoRedwood City-South San Francisco, CA (+4.0 percent), Dallas-Plano-Irving, TX (+3.4 percent), 

and Seattle-Bellevue-Everett, WA (+2.9 percent). 

_____________ 

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

released on Friday, July 19, 2019, at 10:00 a.m. (EDT). The Metropolitan Area 

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

Thursday, August 1, 2019, 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 389 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.

Payroll employment data are seasonally adjusted 

concurrently, using all available estimates, including those for 

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

Concurrent sample-based factors are created every month for 

the current month's preliminary estimate as well as the previous 

month's final estimate in order to incorporate real-time 

estimates.

Reliability of the estimates

The estimates presented in this release are based on 

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

are subject to sampling and other types of errors. Sampling 

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

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding.

Use of error measures

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

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

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

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

Employment estimates. Changes in metropolitan area 

nonfarm payroll employment are cited in the analysis of this 

release only if they have been determined to be statistically 

significant at the 90-percent confidence level. Measures of 

sampling error for the total nonfarm employment series are 

available for metropolitan areas and metropolitan divisions at 

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

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

available upon request. Measures of sampling error for states at 

the supersector level and for the private service-providing, 

goods-producing, total private and total nonfarm levels are 

available on the BLS website at

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

benchmark revisions is available online at 

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

Area definitions

The substate area data published in this release reflect the 

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

Budget on April 10, 2018. 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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,195,860 2,247,241 2,196,747 2,257,466 75,763 75,210 78,177 64,950 3.5 3.3 3.6 2.9

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,986 46,427 46,023 46,639 1,914 1,836 1,983 1,602 4.2 4.0 4.3 3.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 74,363 76,785 73,920 76,815 2,319 2,239 2,441 1,996 3.1 2.9 3.3 2.6

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 542,986 556,268 543,107 560,352 16,986 16,749 17,431 14,489 3.1 3.0 3.2 2.6

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 94,015 97,556 95,151 99,129 2,926 3,003 2,992 2,518 3.1 3.1 3.1 2.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,748 72,103 70,129 72,896 2,298 2,162 2,356 1,843 3.3 3.0 3.4 2.5

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,680 63,913 62,738 64,195 2,234 2,205 2,297 1,916 3.6 3.5 3.7 3.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,369 66,163 65,204 66,626 2,486 2,476 2,531 2,230 3.8 3.7 3.9 3.3

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,951 44,231 42,984 44,368 1,564 1,592 1,605 1,379 3.6 3.6 3.7 3.1

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 222,136 227,513 221,826 227,458 6,740 6,561 6,916 5,623 3.0 2.9 3.1 2.5

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,444 191,183 186,902 191,710 7,891 7,964 7,899 6,813 4.2 4.2 4.2 3.6

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,608 175,450 172,955 176,682 5,919 5,828 6,023 4,975 3.4 3.3 3.5 2.8

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 114,731 118,873 114,228 118,794 3,708 3,625 4,361 3,387 3.2 3.0 3.8 2.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352,637 346,904 357,784 350,748 24,373 22,237 23,398 21,768 6.9 6.4 6.5 6.2

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 198,772 195,664 200,108 196,830 12,482 10,976 12,017 11,066 6.3 5.6 6.0 5.6

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,755 44,561 46,646 44,887 2,866 2,589 2,733 2,490 6.3 5.8 5.9 5.5

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,399,739 3,484,761 3,408,074 3,507,670 152,324 147,955 149,860 160,898 4.5 4.2 4.4 4.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,217 76,708 76,749 76,815 3,764 3,638 3,573 3,847 4.9 4.7 4.7 5.0

Lake Havasu City-Kingman. . . . . . . . . . . . 84,555 86,984 85,085 87,771 4,557 4,547 4,404 4,824 5.4 5.2 5.2 5.5

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,380,015 2,450,501 2,382,341 2,465,546 93,238 91,273 90,761 98,536 3.9 3.7 3.8 4.0

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,903 105,756 105,479 106,184 4,332 4,339 4,194 4,593 4.1 4.1 4.0 4.3

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,328 49,523 49,696 49,604 2,615 2,671 2,514 2,733 5.3 5.4 5.1 5.5

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 483,773 490,867 484,603 495,028 20,141 19,783 19,621 21,537 4.2 4.0 4.0 4.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92,642 94,771 94,503 96,067 14,862 13,580 16,487 16,400 16.0 14.3 17.4 17.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,349,698 1,359,733 1,353,659 1,367,965 45,257 39,182 47,498 43,401 3.4 2.9 3.5 3.2

Fayetteville-Springdale-Rogers. . . . . . . . . 275,462 279,332 275,831 279,990 6,897 5,696 7,210 6,329 2.5 2.0 2.6 2.3

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,290 118,281 119,965 118,976 4,395 3,449 4,512 3,841 3.7 2.9 3.8 3.2

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 41,230 41,655 40,641 41,701 1,459 1,205 1,556 1,342 3.5 2.9 3.8 3.2

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,951 64,876 64,406 65,133 1,825 1,501 1,941 1,759 2.9 2.3 3.0 2.7

Little Rock-North Little Rock-Conway. . . . 353,718 355,877 353,889 358,897 11,104 9,352 11,413 10,250 3.1 2.6 3.2 2.9

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,249 35,383 35,343 35,523 1,594 1,517 1,681 1,734 4.5 4.3 4.8 4.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,271,108 19,243,469 19,296,206 19,287,094 775,890 743,918 717,119 678,026 4.0 3.9 3.7 3.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 383,510 385,925 386,570 387,301 32,868 32,372 29,243 27,721 8.6 8.4 7.6 7.2

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,804 102,696 102,716 102,385 4,990 5,124 4,376 4,382 4.9 5.0 4.3 4.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,873 67,477 70,247 69,015 10,676 11,015 11,201 11,321 15.5 16.3 15.9 16.4

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445,860 454,907 449,287 453,708 35,274 34,974 30,679 28,878 7.9 7.7 6.8 6.4

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,811 57,992 57,974 57,943 4,799 4,892 3,962 3,895 8.3 8.4 6.8 6.7

Los Angeles-Long Beach-Anaheim. . . . . 6,729,185 6,659,015 6,715,036 6,678,070 262,078 244,527 256,923 237,995 3.9 3.7 3.8 3.6

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,212 60,586 61,771 61,150 4,653 4,624 3,991 3,822 7.7 7.6 6.5 6.3

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,462 115,495 116,349 115,543 10,554 10,316 8,974 8,425 9.1 8.9 7.7 7.3

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,228 239,953 244,245 241,403 15,936 15,260 14,585 13,477 6.6 6.4 6.0 5.6

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,146 73,987 75,485 74,603 2,137 2,002 1,816 1,713 2.9 2.7 2.4 2.3

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,909 424,979 426,450 423,241 14,543 13,659 13,275 12,523 3.4 3.2 3.1 3.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,486 72,963 73,817 73,059 3,738 3,560 3,167 2,988 5.1 4.9 4.3 4.1

Riverside-San Bernardino-Ontario. . . . . . 2,035,553 2,033,810 2,033,471 2,035,412 79,645 75,614 73,767 70,518 3.9 3.7 3.6 3.5

Sacramento--Roseville--Arden-Arcade. . . 1,084,364 1,092,255 1,086,817 1,094,517 38,645 37,696 34,746 34,323 3.6 3.5 3.2 3.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,351 228,990 230,914 229,645 15,673 16,277 11,874 10,818 6.9 7.1 5.1 4.7

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,579,671 1,576,670 1,580,304 1,581,079 48,507 46,798 44,830 43,500 3.1 3.0 2.8 2.8

San Francisco-Oakland-Hayward. . . . . . . 2,558,098 2,578,934 2,562,095 2,585,828 65,367 62,182 60,319 57,439 2.6 2.4 2.4 2.2

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,068,765 1,080,308 1,072,857 1,081,974 27,383 25,683 24,846 23,602 2.6 2.4 2.3 2.2

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,229 140,784 141,726 140,539 3,908 3,731 3,527 3,385 2.8 2.7 2.5 2.4

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 141,955 142,135 143,167 142,946 8,051 7,872 6,188 5,610 5.7 5.5 4.3 3.9

Santa Maria-Santa Barbara. . . . . . . . . . . . 216,471 217,726 218,083 217,954 8,093 7,662 6,774 6,363 3.7 3.5 3.1 2.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 260,614 259,472 262,172 260,737 6,935 6,640 6,153 5,911 2.7 2.6 2.3 2.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 323,478 321,991 327,683 325,785 19,677 19,337 17,263 16,690 6.1 6.0 5.3 5.1

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,872 206,900 208,866 206,473 7,851 7,587 7,050 6,813 3.8 3.7 3.4 3.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 205,665 208,784 208,389 207,458 20,235 20,749 17,710 16,862 9.8 9.9 8.5 8.1

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,791 74,271 74,427 74,148 5,645 5,731 4,732 4,609 7.6 7.7 6.4 6.2

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,060,983 3,119,039 3,071,539 3,126,851 88,754 85,336 86,498 79,312 2.9 2.7 2.8 2.5

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192,725 197,417 193,516 199,091 4,874 4,609 4,667 4,105 2.5 2.3 2.4 2.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 345,484 351,919 347,573 354,845 11,963 11,439 11,363 10,566 3.5 3.3 3.3 3.0

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,630,067 1,652,850 1,637,801 1,661,458 45,463 43,925 43,955 40,650 2.8 2.7 2.7 2.4

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 200,487 206,168 202,397 207,615 4,921 4,814 4,756 4,227 2.5 2.3 2.3 2.0

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 75,456 77,197 75,981 77,827 2,765 2,531 2,516 2,256 3.7 3.3 3.3 2.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,365 168,128 165,128 168,876 4,328 4,198 4,145 3,696 2.6 2.5 2.5 2.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,444 75,892 76,138 76,312 3,285 3,089 3,064 2,837 4.4 4.1 4.0 3.7

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,883,037 1,888,547 1,904,223 1,908,356 77,951 61,544 78,072 68,309 4.1 3.3 4.1 3.6

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 460,640 461,474 465,943 467,210 19,173 14,671 19,070 16,975 4.2 3.2 4.1 3.6

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,082 105,376 106,286 106,748 3,570 2,791 3,612 3,174 3.4 2.6 3.4 3.0

Hartford-West Hartford-East Hartford. . . . 619,082 621,414 625,459 626,999 26,135 20,975 25,672 22,451 4.2 3.4 4.1 3.6

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 323,592 324,000 326,804 327,125 12,681 10,073 13,265 11,463 3.9 3.1 4.1 3.5

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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 140,512 140,373 142,716 142,455 5,614 4,399 5,760 4,942 4.0 3.1 4.0 3.5

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,722 111,157 112,285 112,234 5,621 4,482 5,693 4,928 5.1 4.0 5.1 4.4

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481,894 489,511 481,259 489,278 18,052 14,873 16,761 14,424 3.7 3.0 3.5 2.9

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,342 79,386 78,094 79,642 3,208 2,572 3,004 2,599 4.1 3.2 3.8 3.3

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 187,267 189,976 191,113 192,955 9,201 8,354 8,087 7,106 4.9 4.4 4.2 3.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . 405,784 412,561 404,595 414,087 20,934 20,928 21,537 21,789 5.2 5.1 5.3 5.3

Washington-Arlington-Alexandria. . . . . . . 3,384,044 3,412,280 3,395,509 3,439,611 103,837 97,368 107,921 107,557 3.1 2.9 3.2 3.1

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,189,508 10,265,561 10,249,456 10,365,951 349,665 300,849 345,015 318,572 3.4 2.9 3.4 3.1

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 342,302 348,456 341,863 349,762 10,943 9,844 10,864 10,349 3.2 2.8 3.2 3.0

Crestview-Fort Walton Beach-Destin. . . . 126,637 127,205 128,552 129,766 3,619 3,166 3,529 3,269 2.9 2.5 2.7 2.5

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,912 299,603 300,972 303,947 10,814 9,551 10,843 10,203 3.6 3.2 3.6 3.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,185 144,719 143,008 143,575 4,567 3,872 4,378 4,064 3.1 2.7 3.1 2.8

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,689 47,713 48,128 48,601 2,308 2,073 2,347 2,222 4.8 4.3 4.9 4.6

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 765,968 763,707 775,709 781,893 24,878 21,641 24,857 23,118 3.2 2.8 3.2 3.0

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 296,424 298,678 298,022 301,843 11,459 9,880 11,362 10,612 3.9 3.3 3.8 3.5

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,147,500 3,182,322 3,158,766 3,195,366 112,487 92,873 108,860 98,006 3.6 2.9 3.4 3.1

Naples-Immokalee-Marco Island. . . . . . . . 179,632 180,495 177,878 181,172 5,481 4,768 5,434 5,013 3.1 2.6 3.1 2.8

North Port-Sarasota-Bradenton. . . . . . . . . 365,909 365,020 367,997 368,474 11,614 10,338 11,611 10,869 3.2 2.8 3.2 2.9

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,295 136,769 135,933 138,463 5,578 4,798 5,545 5,070 4.1 3.5 4.1 3.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,322,754 1,346,368 1,335,156 1,359,367 41,744 36,300 41,415 38,567 3.2 2.7 3.1 2.8

Palm Bay-Melbourne-Titusville. . . . . . . . . 273,184 277,855 276,445 282,799 9,375 8,284 9,290 8,679 3.4 3.0 3.4 3.1

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,985 92,300 96,710 94,333 3,157 3,396 3,128 3,450 3.3 3.7 3.2 3.7

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 224,350 225,252 226,477 228,296 7,434 6,370 7,311 6,677 3.3 2.8 3.2 2.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 215,631 218,185 217,613 221,103 8,357 7,182 8,472 7,721 3.9 3.3 3.9 3.5

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,851 71,748 71,148 72,175 2,660 2,399 2,675 2,530 3.8 3.3 3.8 3.5

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 64,870 65,463 64,943 66,228 2,579 2,231 2,655 2,380 4.0 3.4 4.1 3.6

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,206 36,350 36,616 36,174 1,601 1,453 1,607 1,568 4.3 4.0 4.4 4.3

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 193,448 194,703 192,819 194,682 6,358 5,458 6,193 5,784 3.3 2.8 3.2 3.0

Tampa-St. Petersburg-Clearwater. . . . . . 1,518,408 1,519,855 1,530,006 1,541,092 50,705 44,472 50,762 47,362 3.3 2.9 3.3 3.1

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 31,052 31,462 31,223 31,775 1,517 1,393 1,538 1,461 4.9 4.4 4.9 4.6

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,095,818 5,066,227 5,106,956 5,103,245 189,471 159,049 186,073 176,417 3.7 3.1 3.6 3.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,013 66,281 67,133 66,627 2,924 2,470 2,931 2,807 4.4 3.7 4.4 4.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 101,313 100,250 101,546 100,438 3,522 2,926 3,399 3,227 3.5 2.9 3.3 3.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,064,608 3,046,639 3,070,515 3,074,578 110,755 92,046 108,797 102,435 3.6 3.0 3.5 3.3

Augusta-Richmond County. . . . . . . . . . . . . 272,203 272,616 267,853 269,177 9,884 9,124 9,906 10,217 3.6 3.3 3.7 3.8

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,048 53,529 54,439 54,207 1,890 1,630 1,885 1,825 3.5 3.0 3.5 3.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,168 123,429 125,521 124,119 5,455 4,666 5,494 5,021 4.4 3.8 4.4 4.0

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,743 60,966 60,897 61,219 2,677 2,461 2,569 2,359 4.4 4.0 4.2 3.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 100,854 102,843 101,418 103,712 2,974 2,614 2,945 2,873 2.9 2.5 2.9 2.8

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,720 33,572 33,757 33,830 1,376 1,113 1,333 1,368 4.1 3.3 3.9 4.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 104,830 103,053 104,810 103,866 4,257 3,527 4,173 3,956 4.1 3.4 4.0 3.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,302 44,118 44,109 44,282 1,709 1,431 1,667 1,604 3.9 3.2 3.8 3.6

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 188,623 186,017 189,643 187,895 6,402 5,450 6,322 6,088 3.4 2.9 3.3 3.2

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,171 64,396 64,633 64,701 2,414 1,999 2,451 2,162 3.8 3.1 3.8 3.3

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 86,285 85,925 86,358 86,509 3,217 2,736 3,179 3,015 3.7 3.2 3.7 3.5

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680,601 665,451 678,330 660,200 14,689 18,759 15,006 17,059 2.2 2.8 2.2 2.6

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,939 84,494 86,021 83,801 1,884 2,355 1,915 2,115 2.2 2.8 2.2 2.5

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 466,780 456,740 464,186 452,357 9,814 12,061 9,889 11,133 2.1 2.6 2.1 2.5

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849,330 868,687 855,937 874,946 25,634 23,693 21,067 21,068 3.0 2.7 2.5 2.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 358,046 368,953 359,542 370,143 9,787 9,014 8,423 8,555 2.7 2.4 2.3 2.3

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 76,900 78,660 78,084 80,236 2,817 2,634 2,234 2,182 3.7 3.3 2.9 2.7

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,295 71,609 70,316 72,475 1,764 1,464 1,495 1,427 2.5 2.0 2.1 2.0

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,173 31,145 31,352 31,220 1,028 1,010 894 875 3.3 3.2 2.9 2.8

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,055 42,616 42,173 42,777 1,183 1,058 1,018 1,005 2.8 2.5 2.4 2.3

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,368 52,910 52,439 53,019 1,410 1,304 1,230 1,248 2.7 2.5 2.3 2.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,436,374 6,479,288 6,451,295 6,463,139 245,015 259,307 235,509 233,613 3.8 4.0 3.7 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,101 95,540 95,984 95,436 3,418 3,869 3,474 3,158 3.5 4.0 3.6 3.3

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,688 61,405 59,224 59,882 2,545 2,573 2,611 2,146 4.2 4.2 4.4 3.6

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 123,782 122,786 122,150 122,352 4,509 5,069 4,761 4,202 3.6 4.1 3.9 3.4

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,837,182 4,887,141 4,848,539 4,860,439 177,546 183,175 166,909 170,253 3.7 3.7 3.4 3.5

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,010 33,351 33,992 33,249 1,843 1,775 1,874 1,481 5.4 5.3 5.5 4.5

Davenport-Moline-Rock Island1. . . . . . . . . 191,307 194,360 191,602 195,045 7,218 7,619 6,869 6,816 3.8 3.9 3.6 3.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,781 49,804 50,165 49,914 2,416 2,721 2,399 2,239 4.9 5.5 4.8 4.5

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,698 55,731 55,734 55,708 2,693 2,930 2,617 2,319 4.8 5.3 4.7 4.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,900 180,478 179,804 181,071 8,168 8,738 8,056 7,145 4.6 4.8 4.5 3.9

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166,049 167,838 167,064 167,756 7,718 9,045 7,703 8,805 4.6 5.4 4.6 5.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,322 111,359 111,373 111,822 4,003 4,636 3,951 3,734 3.6 4.2 3.5 3.3

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,378,799 3,406,980 3,404,379 3,368,523 104,620 103,953 108,595 98,798 3.1 3.1 3.2 2.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 80,694 80,824 80,410 74,035 2,529 2,336 2,790 2,441 3.1 2.9 3.5 3.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,115 46,066 45,346 45,530 1,049 977 1,156 1,015 2.3 2.1 2.5 2.2

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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Indiana - Continued

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 116,332 117,212 116,874 116,554 2,459 3,021 2,800 3,063 2.1 2.6 2.4 2.6

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,649 165,656 163,636 164,375 4,754 4,524 5,029 4,650 2.9 2.7 3.1 2.8

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 215,882 219,608 218,386 219,014 6,027 5,772 6,465 5,898 2.8 2.6 3.0 2.7

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,057,547 1,068,521 1,064,299 1,056,684 31,266 29,440 32,546 29,103 3.0 2.8 3.1 2.8

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,538 39,484 37,660 37,600 1,267 2,681 1,256 1,203 3.4 6.8 3.3 3.2

Lafayette-West Lafayette. . . . . . . . . . . . . . 114,247 111,924 114,646 107,808 3,208 2,874 3,441 2,965 2.8 2.6 3.0 2.8

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,100 47,589 48,723 47,317 1,978 1,938 1,889 1,754 4.1 4.1 3.9 3.7

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,838 54,941 54,563 52,105 1,954 1,867 2,035 1,863 3.6 3.4 3.7 3.6

South Bend-Mishawaka. . . . . . . . . . . . . . . 162,155 163,639 162,062 162,807 5,265 5,305 5,372 5,349 3.2 3.2 3.3 3.3

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,463 77,600 77,790 76,716 2,965 3,033 3,041 2,850 3.8 3.9 3.9 3.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,682,952 1,715,300 1,682,376 1,714,513 42,946 36,185 36,195 36,425 2.6 2.1 2.2 2.1

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,015 60,767 57,040 59,943 895 764 841 892 1.5 1.3 1.5 1.5

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,646 145,543 142,431 144,052 4,022 3,208 3,402 3,273 2.8 2.2 2.4 2.3

Des Moines-West Des Moines. . . . . . . . . 352,857 365,334 352,150 366,717 8,290 7,791 7,397 7,781 2.3 2.1 2.1 2.1

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,177 56,797 55,211 56,402 1,367 1,122 1,091 1,053 2.5 2.0 2.0 1.9

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,530 98,701 96,313 96,775 1,909 1,514 1,746 1,725 1.9 1.5 1.8 1.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,745 94,152 90,622 94,236 2,345 2,060 2,035 2,063 2.6 2.2 2.2 2.2

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,843 91,233 89,263 90,552 2,406 2,060 2,016 2,040 2.7 2.3 2.3 2.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473,239 1,465,858 1,472,156 1,470,582 46,233 44,432 46,159 47,296 3.1 3.0 3.1 3.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,380 65,987 64,588 65,287 1,906 1,787 1,837 1,873 2.9 2.7 2.8 2.9

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,021 48,577 47,105 47,803 1,284 1,267 1,257 1,351 2.6 2.6 2.7 2.8

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,725 119,539 119,194 119,744 3,762 3,627 3,773 3,832 3.1 3.0 3.2 3.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,911 308,935 307,997 308,204 10,749 10,165 10,758 10,823 3.5 3.3 3.5 3.5

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,066,323 2,068,819 2,074,587 2,080,536 83,845 80,295 88,781 82,644 4.1 3.9 4.3 4.0

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 84,141 84,896 84,566 85,371 2,958 2,932 3,069 3,076 3.5 3.5 3.6 3.6

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 67,567 68,027 67,598 68,117 2,607 2,579 2,802 2,615 3.9 3.8 4.1 3.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 272,321 273,896 273,657 277,196 8,757 8,381 9,224 8,832 3.2 3.1 3.4 3.2

Louisville/Jefferson County. . . . . . . . . . . . . 670,631 674,650 672,867 674,387 23,606 24,061 26,983 23,947 3.5 3.6 4.0 3.6

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,742 56,044 56,899 56,441 2,176 1,961 2,237 2,067 3.8 3.5 3.9 3.7

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,106,197 2,088,457 2,104,962 2,094,045 94,368 72,645 100,135 85,981 4.5 3.5 4.8 4.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,600 62,461 63,430 62,522 3,069 2,325 3,294 2,756 4.8 3.7 5.2 4.4

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 419,733 415,703 417,805 416,598 16,601 12,966 17,682 15,554 4.0 3.1 4.2 3.7

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,231 53,906 54,232 54,120 2,699 2,096 2,829 2,505 5.0 3.9 5.2 4.6

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 88,691 85,089 89,150 85,710 4,055 2,923 4,296 3,511 4.6 3.4 4.8 4.1

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,771 211,699 213,148 213,640 9,805 7,279 10,385 8,710 4.6 3.4 4.9 4.1

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 113,913 113,666 113,576 113,616 4,023 3,167 4,274 3,801 3.5 2.8 3.8 3.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,574 78,694 79,706 79,135 3,832 3,148 4,044 3,677 4.8 4.0 5.1 4.6

New Orleans-Metairie. . . . . . . . . . . . . . . . . 595,069 597,111 593,670 595,550 25,215 19,317 26,725 22,811 4.2 3.2 4.5 3.8

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,986 183,654 187,958 183,990 8,938 6,957 9,675 8,164 4.8 3.8 5.1 4.4

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 693,112 686,294 696,513 688,503 24,502 23,806 22,874 22,388 3.5 3.5 3.3 3.3

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,603 71,248 70,533 69,826 2,480 2,421 2,300 2,196 3.5 3.4 3.3 3.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,922 55,834 55,887 55,556 1,824 1,808 1,713 1,732 3.3 3.2 3.1 3.1

Portland-South Portland. . . . . . . . . . . . . . . 206,854 205,325 208,671 206,111 5,763 5,609 5,518 5,396 2.8 2.7 2.6 2.6

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,179,675 3,194,480 3,191,396 3,219,282 117,152 107,329 119,695 114,367 3.7 3.4 3.8 3.6

Baltimore-Columbia-Towson. . . . . . . . . . . 1,484,293 1,499,335 1,492,662 1,511,425 55,658 50,815 57,047 54,841 3.7 3.4 3.8 3.6

California-Lexington Park. . . . . . . . . . . . . . 55,130 55,160 55,146 55,511 1,917 1,640 1,968 1,799 3.5 3.0 3.6 3.2

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,182 44,553 44,282 44,853 2,432 1,993 2,238 2,042 5.5 4.5 5.1 4.6

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,697 131,815 130,546 132,812 5,518 4,457 5,343 4,645 4.2 3.4 4.1 3.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,777,446 3,814,093 3,789,870 3,836,916 123,249 99,559 124,560 119,548 3.3 2.6 3.3 3.1

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 122,485 123,802 127,366 129,601 5,150 4,372 4,744 4,586 4.2 3.5 3.7 3.5

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,796,245 2,824,004 2,801,804 2,836,089 81,822 66,627 83,937 80,632 2.9 2.4 3.0 2.8

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 81,153 82,516 81,543 82,939 3,119 2,560 3,031 2,867 3.8 3.1 3.7 3.5

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,472 86,402 84,768 86,946 4,297 3,290 4,190 3,879 5.0 3.8 4.9 4.5

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,656 42,524 43,354 43,256 1,899 1,517 1,794 1,650 4.5 3.6 4.1 3.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 379,252 387,787 378,198 386,675 15,175 12,301 15,310 14,592 4.0 3.2 4.0 3.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 361,222 361,091 362,076 361,624 12,766 10,430 12,830 12,375 3.5 2.9 3.5 3.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,865,880 4,926,510 4,907,004 4,951,857 180,285 183,606 173,340 195,058 3.7 3.7 3.5 3.9

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 195,976 198,038 192,993 196,032 5,062 5,007 5,452 5,626 2.6 2.5 2.8 2.9

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 62,867 63,247 63,409 63,877 2,519 2,346 2,373 2,434 4.0 3.7 3.7 3.8

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,256 50,311 50,547 50,447 2,391 2,152 2,169 2,157 4.8 4.3 4.3 4.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,100,974 2,134,358 2,121,255 2,140,593 73,832 83,828 73,847 91,946 3.5 3.9 3.5 4.3

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,205 184,471 182,121 185,013 8,275 7,920 7,879 10,304 4.6 4.3 4.3 5.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 580,359 587,275 584,118 591,019 15,835 14,886 15,560 16,268 2.7 2.5 2.7 2.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,703 75,708 75,274 76,250 2,690 2,505 2,629 2,563 3.6 3.3 3.5 3.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 168,749 170,350 168,672 170,032 5,711 5,252 5,568 5,684 3.4 3.1 3.3 3.3

Lansing-East Lansing. . . . . . . . . . . . . . . . . 251,472 252,290 251,528 252,772 8,056 7,349 7,733 7,803 3.2 2.9 3.1 3.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,895 40,625 41,260 41,120 1,601 1,391 1,433 1,399 3.9 3.4 3.5 3.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,435 76,757 75,685 77,282 2,576 2,724 2,796 3,105 3.4 3.5 3.7 4.0

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,850 78,409 78,733 79,520 3,326 2,908 3,241 3,078 4.3 3.7 4.1 3.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 73,090 73,829 73,978 74,623 2,910 2,623 2,842 2,823 4.0 3.6 3.8 3.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,388 87,036 86,865 87,363 3,923 3,721 3,662 4,027 4.5 4.3 4.2 4.6

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

April May Number Percent of labor force

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,060,343 3,088,291 3,062,860 3,097,429 92,774 101,343 72,576 88,845 3.0 3.3 2.4 2.9

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,107 143,741 142,959 142,961 5,875 5,953 4,798 5,203 4.1 4.1 3.4 3.6

Mankato-North Mankato. . . . . . . . . . . . . . . 61,405 62,099 60,921 61,845 1,479 1,658 1,208 1,588 2.4 2.7 2.0 2.6

Minneapolis-St. Paul-Bloomington. . . . . . 1,993,534 2,004,440 1,990,481 2,005,534 53,331 57,985 44,334 54,866 2.7 2.9 2.2 2.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,809 125,248 122,725 125,442 3,215 3,494 2,413 3,118 2.6 2.8 2.0 2.5

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,784 114,675 111,279 114,063 3,647 3,912 2,677 3,206 3.3 3.4 2.4 2.8

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,275,083 1,265,787 1,282,966 1,281,592 55,168 58,936 62,286 62,796 4.3 4.7 4.9 4.9

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,608 161,783 165,932 163,792 7,363 7,736 8,296 8,117 4.5 4.8 5.0 5.0

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,154 69,562 68,115 69,815 2,651 2,874 2,978 3,018 3.9 4.1 4.4 4.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269,699 268,640 270,963 271,705 10,277 11,200 11,616 11,831 3.8 4.2 4.3 4.4

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,058,829 3,036,167 3,061,364 3,060,453 90,686 86,976 91,272 94,028 3.0 2.9 3.0 3.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,758 47,630 47,671 47,938 1,375 1,289 1,351 1,441 2.9 2.7 2.8 3.0

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,265 96,922 97,823 97,174 2,007 1,979 2,028 2,261 2.0 2.0 2.1 2.3

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 73,860 72,581 73,821 72,983 1,814 1,661 1,764 1,855 2.5 2.3 2.4 2.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,143 83,564 84,006 83,953 2,218 2,208 2,147 2,515 2.6 2.6 2.6 3.0

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,129,888 1,125,982 1,129,926 1,133,815 34,916 33,151 37,944 35,071 3.1 2.9 3.4 3.1

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,470 62,885 63,413 63,089 1,763 1,791 1,729 1,773 2.8 2.8 2.7 2.8

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,455,660 1,456,366 1,458,618 1,465,444 45,187 45,424 45,074 44,847 3.1 3.1 3.1 3.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,845 231,402 230,677 232,559 5,732 5,571 5,682 6,243 2.5 2.4 2.5 2.7

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524,335 527,648 527,631 530,995 18,878 17,396 16,315 14,847 3.6 3.3 3.1 2.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,031 87,524 88,224 87,628 2,666 2,533 2,297 2,241 3.0 2.9 2.6 2.6

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,868 38,231 37,978 38,300 1,231 1,159 1,075 1,043 3.3 3.0 2.8 2.7

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,261 64,314 63,625 64,728 1,934 1,909 1,673 1,606 3.1 3.0 2.6 2.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,018,547 1,035,655 1,022,657 1,040,984 28,192 30,306 26,829 31,072 2.8 2.9 2.6 3.0

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,610 43,993 43,755 44,165 1,271 1,309 1,194 1,344 2.9 3.0 2.7 3.0

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,102 184,287 182,112 185,075 4,572 4,962 4,464 5,223 2.5 2.7 2.5 2.8

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 483,980 495,298 485,445 498,174 13,834 14,364 13,070 14,629 2.9 2.9 2.7 2.9

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,486,528 1,521,065 1,493,574 1,535,936 67,491 55,001 65,341 58,782 4.5 3.6 4.4 3.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,636 26,205 25,702 26,463 1,283 972 1,147 1,005 5.0 3.7 4.5 3.8

Las Vegas-Henderson-Paradise. . . . . . . . 1,088,323 1,110,090 1,093,056 1,121,733 51,894 41,688 50,540 45,178 4.8 3.8 4.6 4.0

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248,844 261,123 250,064 263,804 9,059 7,721 8,612 7,925 3.6 3.0 3.4 3.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 754,612 763,783 757,689 766,267 19,665 18,911 18,592 18,512 2.6 2.5 2.5 2.4

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 85,163 85,985 85,633 86,426 2,010 1,963 1,979 1,881 2.4 2.3 2.3 2.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 119,563 121,566 119,558 121,319 2,927 2,793 2,775 2,827 2.4 2.3 2.3 2.3

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 76,072 77,082 76,828 77,775 1,834 1,764 1,754 1,702 2.4 2.3 2.3 2.2

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,398,322 4,401,625 4,409,315 4,424,327 174,898 129,180 171,231 131,919 4.0 2.9 3.9 3.0

Atlantic City-Hammonton. . . . . . . . . . . . . . 115,681 118,993 116,122 120,112 6,922 5,097 6,455 4,957 6.0 4.3 5.6 4.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 41,632 43,588 45,433 48,064 4,224 3,154 3,172 2,283 10.1 7.2 7.0 4.7

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,336 198,993 196,543 199,488 6,667 5,016 6,670 5,274 3.4 2.5 3.4 2.6

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 64,793 64,980 64,916 66,560 4,166 2,977 3,720 2,834 6.4 4.6 5.7 4.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 931,907 950,452 931,111 954,117 41,284 41,105 40,644 42,777 4.4 4.3 4.4 4.5

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 427,050 434,635 424,426 435,446 17,585 17,443 17,498 18,527 4.1 4.0 4.1 4.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 52,294 52,920 52,238 52,893 2,656 2,518 2,638 2,590 5.1 4.8 5.0 4.9

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 96,384 98,223 96,708 99,399 5,170 5,200 4,943 5,220 5.4 5.3 5.1 5.3

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,676 73,744 73,229 74,375 2,702 2,661 2,673 2,794 3.7 3.6 3.7 3.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,514,505 9,542,495 9,536,204 9,539,001 383,604 339,292 350,083 360,778 4.0 3.6 3.7 3.8

Albany-Schenectady-Troy. . . . . . . . . . . . . . 446,424 451,478 448,663 449,141 16,952 14,420 15,216 14,565 3.8 3.2 3.4 3.2

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 106,982 106,920 107,714 106,470 5,195 4,302 4,477 4,178 4.9 4.0 4.2 3.9

Buffalo-Cheektowaga-Niagara Falls. . . . . 535,592 539,008 541,524 540,677 25,054 20,446 22,302 20,379 4.7 3.8 4.1 3.8

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,055 34,900 35,266 35,051 1,665 1,314 1,549 1,344 4.7 3.8 4.4 3.8

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 57,847 58,617 58,993 59,553 2,774 2,459 2,242 2,143 4.8 4.2 3.8 3.6

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,019 52,115 50,101 51,127 1,812 1,564 1,604 1,614 3.6 3.0 3.2 3.2

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,768 89,165 88,799 89,705 3,338 2,818 3,118 2,927 3.8 3.2 3.5 3.3

New York-Newark-Jersey City. . . . . . . . . . 9,892,429 9,890,327 9,907,779 9,901,257 377,538 321,402 359,306 348,410 3.8 3.2 3.6 3.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 518,842 521,687 520,729 522,135 22,386 18,873 20,049 18,962 4.3 3.6 3.9 3.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,108 309,360 303,605 308,305 13,354 11,394 11,732 11,371 4.4 3.7 3.9 3.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 128,559 128,742 128,841 128,057 6,054 5,078 5,192 4,963 4.7 3.9 4.0 3.9

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 43,763 43,663 44,575 44,753 2,659 2,296 2,119 2,010 6.1 5.3 4.8 4.5

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,975,010 5,066,547 5,004,225 5,122,634 180,237 179,997 183,058 205,783 3.6 3.6 3.7 4.0

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,441 241,836 234,098 245,209 6,685 6,849 6,765 8,005 2.9 2.8 2.9 3.3

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,391 81,483 80,724 82,207 2,713 2,799 2,819 3,219 3.4 3.4 3.5 3.9

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,324,448 1,366,051 1,332,127 1,379,482 44,688 45,204 45,417 51,129 3.4 3.3 3.4 3.7

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 298,955 303,442 299,855 305,199 9,493 9,647 9,729 11,145 3.2 3.2 3.2 3.7

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,122 150,900 148,957 152,163 6,893 6,933 7,049 7,904 4.7 4.6 4.7 5.2

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,778 53,086 53,122 53,716 2,139 2,060 2,142 2,338 4.1 3.9 4.0 4.4

Greensboro-High Point. . . . . . . . . . . . . . . . 367,738 371,585 368,734 373,894 13,982 13,739 14,317 15,847 3.8 3.7 3.9 4.2

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,433 90,479 90,803 91,524 3,518 3,383 3,765 4,114 3.9 3.7 4.1 4.5

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 173,107 176,141 174,184 176,946 5,663 5,932 5,733 6,856 3.3 3.4 3.3 3.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,980 65,255 65,136 65,815 2,705 2,787 2,735 3,142 4.2 4.3 4.2 4.8

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,120 51,746 51,304 52,225 1,907 1,946 1,914 2,207 3.7 3.8 3.7 4.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709,808 723,071 714,260 728,498 22,523 22,771 22,810 26,189 3.2 3.1 3.2 3.6

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 64,678 64,649 64,764 65,378 3,635 3,201 3,692 3,579 5.6 5.0 5.7 5.5

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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 149,514 151,684 151,012 154,880 5,003 5,106 5,036 5,777 3.3 3.4 3.3 3.7

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 326,113 332,193 327,235 336,350 11,190 11,106 11,357 12,893 3.4 3.3 3.5 3.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 403,296 403,516 405,962 405,710 11,728 10,135 9,204 8,465 2.9 2.5 2.3 2.1

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,489 67,969 67,671 68,208 2,156 1,795 1,637 1,473 3.2 2.6 2.4 2.2

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,065 137,187 137,253 137,890 3,725 3,426 2,898 2,877 2.7 2.5 2.1 2.1

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 55,235 54,774 55,026 54,816 1,593 1,557 1,262 1,397 2.9 2.8 2.3 2.5

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,738,955 5,794,037 5,761,621 5,775,603 244,928 192,152 237,202 203,957 4.3 3.3 4.1 3.5

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356,463 357,523 355,802 356,753 15,776 12,101 14,517 12,267 4.4 3.4 4.1 3.4

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 199,035 199,741 199,589 199,622 9,777 7,281 8,739 7,538 4.9 3.6 4.4 3.8

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,108,437 1,129,324 1,117,296 1,130,025 40,596 32,816 40,480 35,238 3.7 2.9 3.6 3.1

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,039,978 1,044,474 1,030,023 1,034,227 49,424 39,512 49,835 40,527 4.8 3.8 4.8 3.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,070,393 1,087,981 1,081,080 1,085,095 38,145 29,846 37,571 32,162 3.6 2.7 3.5 3.0

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,080 386,009 385,927 384,296 15,286 12,001 15,172 13,254 4.0 3.1 3.9 3.4

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,591 47,881 47,786 47,774 2,007 1,450 1,932 1,546 4.2 3.0 4.0 3.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,491 53,142 53,214 53,209 2,457 1,827 2,255 1,854 4.7 3.4 4.2 3.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,866 63,378 63,214 63,171 2,592 2,026 2,712 2,111 4.1 3.2 4.3 3.3

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,570 301,449 302,537 303,740 13,217 10,375 13,906 14,138 4.4 3.4 4.6 4.7

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,197 49,760 50,342 49,664 3,077 2,239 2,848 2,291 6.1 4.5 5.7 4.6

Youngstown-Warren-Boardman. . . . . . . . 241,199 238,321 243,096 238,825 12,682 11,330 11,539 11,629 5.3 4.8 4.7 4.9

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,839,219 1,816,608 1,843,360 1,831,290 60,882 50,188 64,385 56,705 3.3 2.8 3.5 3.1

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,207 26,577 27,407 26,688 817 688 861 765 3.0 2.6 3.1 2.9

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,393 50,598 51,626 51,118 1,907 1,528 2,011 1,735 3.7 3.0 3.9 3.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 680,572 677,085 681,176 682,327 20,728 17,442 21,957 19,528 3.0 2.6 3.2 2.9

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,594 471,890 479,432 473,421 16,306 13,285 17,200 14,854 3.4 2.8 3.6 3.1

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,089,666 2,106,615 2,090,640 2,106,365 83,001 82,651 74,776 70,183 4.0 3.9 3.6 3.3

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,387 58,763 58,247 58,530 2,631 2,673 2,328 2,247 4.5 4.5 4.0 3.8

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 94,434 95,944 94,568 96,086 3,815 3,843 3,274 3,190 4.0 4.0 3.5 3.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,734 48,801 48,878 48,892 1,322 1,409 1,270 1,238 2.7 2.9 2.6 2.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,891 182,138 182,200 181,937 7,738 7,789 7,095 6,536 4.3 4.3 3.9 3.6

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,646 36,069 35,918 36,331 1,907 1,876 1,690 1,577 5.3 5.2 4.7 4.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,202 105,074 103,982 105,282 4,847 4,951 4,342 4,073 4.7 4.7 4.2 3.9

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,302,206 1,322,236 1,300,973 1,319,891 48,793 49,162 45,175 43,597 3.7 3.7 3.5 3.3

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,027 201,314 199,959 201,994 8,208 8,414 7,403 7,184 4.1 4.2 3.7 3.6

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,378,250 6,421,347 6,403,511 6,471,001 252,656 205,924 248,799 242,836 4.0 3.2 3.9 3.8

Allentown-Bethlehem-Easton. . . . . . . . . . . 433,371 434,327 435,472 439,096 18,281 14,824 17,912 16,856 4.2 3.4 4.1 3.8

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,178 59,501 59,590 60,266 2,250 1,846 2,204 2,135 3.8 3.1 3.7 3.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,560 42,368 42,120 42,946 1,701 1,398 1,679 1,736 4.0 3.3 4.0 4.0

Chambersburg-Waynesboro. . . . . . . . . . . 75,461 77,372 76,461 78,492 2,563 2,128 2,506 2,510 3.4 2.8 3.3 3.2

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 80,960 81,196 81,411 82,199 4,089 3,367 4,027 3,848 5.1 4.1 4.9 4.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,388 128,536 128,770 129,582 5,835 4,342 5,543 4,971 4.5 3.4 4.3 3.8

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,711 55,002 54,998 55,895 1,568 1,245 1,575 1,535 2.9 2.3 2.9 2.7

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 294,402 296,189 296,076 298,496 9,884 7,952 9,926 9,599 3.4 2.7 3.4 3.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 58,120 58,281 58,234 58,751 2,680 2,132 2,588 2,523 4.6 3.7 4.4 4.3

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 277,972 279,598 281,655 284,381 8,455 6,954 8,542 8,461 3.0 2.5 3.0 3.0

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,404 71,196 71,184 72,641 2,405 1,974 2,317 2,363 3.4 2.8 3.3 3.3

Philadelphia-Camden-Wilmington. . . . . . . 3,068,374 3,100,010 3,067,259 3,105,396 120,347 97,010 120,594 110,664 3.9 3.1 3.9 3.6

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,196,798 1,202,410 1,198,875 1,208,685 46,985 37,965 45,565 44,171 3.9 3.2 3.8 3.7

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,446 212,376 212,222 214,982 8,038 6,868 8,020 8,202 3.8 3.2 3.8 3.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . 275,969 274,731 275,883 276,434 12,815 10,954 12,401 12,600 4.6 4.0 4.5 4.6

State College. . . . . . . . . . . . . . . . . . . . . . . . 80,212 82,538 80,071 82,310 2,319 1,891 2,417 2,478 2.9 2.3 3.0 3.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,217 56,190 56,951 56,628 2,586 1,998 2,418 2,283 4.5 3.6 4.2 4.0

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 232,453 232,805 233,922 234,776 8,052 6,435 8,013 7,724 3.5 2.8 3.4 3.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 550,675 545,023 551,828 547,473 21,010 16,372 20,079 17,966 3.8 3.0 3.6 3.3

Providence-Warwick. . . . . . . . . . . . . . . . . . 684,947 680,531 686,530 683,484 26,532 20,880 25,329 23,119 3.9 3.1 3.7 3.4

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,305,243 2,372,742 2,320,482 2,388,810 62,275 70,217 65,707 79,610 2.7 3.0 2.8 3.3

Charleston-North Charleston. . . . . . . . . . . 378,073 390,595 380,735 393,802 8,494 9,950 9,150 11,360 2.2 2.5 2.4 2.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 394,771 401,616 397,180 405,272 10,446 11,273 11,094 12,923 2.6 2.8 2.8 3.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,289 98,100 96,002 98,598 2,889 3,166 3,001 3,574 3.0 3.2 3.1 3.6

Greenville-Anderson-Mauldin. . . . . . . . . . . 422,328 431,264 424,482 434,055 10,151 11,534 11,040 13,492 2.4 2.7 2.6 3.1

Hilton Head Island-Bluffton-Beaufort. . . . 87,336 90,617 88,666 92,293 2,133 2,492 2,318 2,901 2.4 2.8 2.6 3.1

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,279 207,256 201,497 211,730 7,159 8,017 7,277 8,675 3.6 3.9 3.6 4.1

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 159,070 163,318 159,201 163,738 3,943 4,424 4,173 5,096 2.5 2.7 2.6 3.1

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,791 45,057 43,870 45,202 1,454 1,542 1,483 1,729 3.3 3.4 3.4 3.8

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 455,905 462,538 458,579 464,870 14,821 13,438 12,835 12,995 3.3 2.9 2.8 2.8

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 73,430 74,456 74,641 75,293 2,492 2,270 2,227 2,261 3.4 3.0 3.0 3.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 151,404 155,917 151,038 156,137 4,164 3,810 3,599 3,712 2.8 2.4 2.4 2.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,234,211 3,336,587 3,242,736 3,363,323 99,827 91,408 100,670 102,712 3.1 2.7 3.1 3.1

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 269,663 275,659 269,083 277,348 8,586 7,709 8,670 8,393 3.2 2.8 3.2 3.0

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 114,709 118,444 115,258 119,546 4,210 4,080 4,390 4,532 3.7 3.4 3.8 3.8

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,791 58,635 56,741 59,085 1,849 1,657 1,905 1,900 3.3 2.8 3.4 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,979 65,893 64,070 66,585 2,202 1,922 2,221 2,087 3.4 2.9 3.5 3.1

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

April May Number Percent of labor force

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 91,509 93,795 90,638 93,956 2,964 2,849 3,046 3,265 3.2 3.0 3.4 3.5

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,770 140,635 137,534 142,047 4,461 4,169 4,473 4,798 3.3 3.0 3.3 3.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421,759 434,996 423,879 439,421 12,009 11,064 12,056 12,781 2.8 2.5 2.8 2.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 630,603 644,068 633,919 650,774 23,863 22,577 24,852 24,489 3.8 3.5 3.9 3.8

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,646 52,958 51,774 53,372 1,696 1,662 1,760 1,847 3.3 3.1 3.4 3.5

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,036,508 1,077,447 1,038,957 1,084,039 24,999 22,932 25,235 26,144 2.4 2.1 2.4 2.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,817,292 14,000,887 13,810,959 13,966,869 507,416 415,613 498,723 408,694 3.7 3.0 3.6 2.9

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,584 77,285 77,533 76,881 2,389 1,967 2,351 1,964 3.1 2.5 3.0 2.6

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,765 132,485 132,759 132,535 3,342 2,803 3,325 2,779 2.5 2.1 2.5 2.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,193,943 1,210,748 1,194,067 1,210,963 32,360 27,662 32,149 26,966 2.7 2.3 2.7 2.2

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 175,961 175,846 175,462 175,310 10,442 7,940 9,881 7,950 5.9 4.5 5.6 4.5

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 166,236 165,001 165,069 164,777 10,223 7,760 9,694 7,584 6.1 4.7 5.9 4.6

College Station-Bryan. . . . . . . . . . . . . . . . . 133,280 135,373 132,539 135,543 3,533 2,998 3,567 3,130 2.7 2.2 2.7 2.3

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 210,109 208,203 209,449 207,235 10,267 7,468 9,759 7,461 4.9 3.6 4.7 3.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,876,171 3,964,887 3,877,185 3,951,005 128,600 110,688 127,704 107,811 3.3 2.8 3.3 2.7

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360,962 362,820 360,169 362,086 14,553 11,956 14,268 11,732 4.0 3.3 4.0 3.2

Houston-The Woodlands-Sugar Land. . . 3,382,577 3,425,788 3,377,820 3,416,332 140,807 109,976 137,706 108,025 4.2 3.2 4.1 3.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,861 178,439 175,428 177,751 6,705 5,629 6,776 5,572 3.8 3.2 3.9 3.1

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,446 117,489 115,656 117,124 4,108 3,796 4,038 3,784 3.5 3.2 3.5 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,215 96,543 98,073 96,103 3,857 3,110 3,759 3,015 3.9 3.2 3.8 3.1

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,711 163,505 162,834 163,305 4,492 3,782 4,473 3,758 2.8 2.3 2.7 2.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . 351,093 351,626 349,387 351,115 22,353 17,554 20,844 17,726 6.4 5.0 6.0 5.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,795 106,311 104,122 106,620 2,019 1,791 2,040 1,786 1.9 1.7 2.0 1.7

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,763 86,300 84,813 86,378 2,155 1,766 2,133 1,819 2.5 2.0 2.5 2.1

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,804 56,033 55,640 55,916 1,602 1,401 1,616 1,414 2.9 2.5 2.9 2.5

San Antonio-New Braunfels. . . . . . . . . . . . 1,189,573 1,204,326 1,186,683 1,196,968 36,324 31,094 36,387 30,756 3.1 2.6 3.1 2.6

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 63,176 64,190 63,164 64,163 1,935 1,620 1,935 1,643 3.1 2.5 3.1 2.6

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,247 64,652 64,591 64,704 2,666 2,390 3,099 2,375 4.1 3.7 4.8 3.7

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,182 108,209 108,072 108,139 3,615 3,050 3,633 2,982 3.4 2.8 3.4 2.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,698 46,411 46,629 46,233 1,716 1,341 1,663 1,321 3.7 2.9 3.6 2.9

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,289 125,896 125,132 125,354 4,197 3,441 4,231 3,419 3.3 2.7 3.4 2.7

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 66,008 65,696 65,955 65,259 2,015 1,736 2,042 1,723 3.1 2.6 3.1 2.6

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,560,360 1,582,128 1,567,748 1,588,356 47,198 42,328 45,863 43,573 3.0 2.7 2.9 2.7

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,568 71,493 70,812 71,844 1,770 1,582 1,641 1,591 2.5 2.2 2.3 2.2

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 323,405 329,329 326,438 332,468 9,920 8,760 9,448 8,922 3.1 2.7 2.9 2.7

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 304,214 309,482 302,370 306,868 8,093 7,405 8,000 7,819 2.7 2.4 2.6 2.5

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 73,798 75,798 74,248 76,418 2,403 2,209 2,307 2,220 3.3 2.9 3.1 2.9

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 646,848 652,603 652,026 656,790 19,518 17,490 18,847 17,967 3.0 2.7 2.9 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342,835 344,489 344,092 346,777 10,047 7,528 8,666 6,564 2.9 2.2 2.5 1.9

Burlington-South Burlington. . . . . . . . . . . . 126,567 127,727 126,282 128,150 2,674 1,889 2,451 1,932 2.1 1.5 1.9 1.5

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,331,542 4,363,922 4,346,095 4,400,145 118,817 109,110 121,640 125,789 2.7 2.5 2.8 2.9

Blacksburg-Christiansburg-Radford. . . . . 92,036 90,864 90,701 90,687 2,523 2,283 2,589 2,813 2.7 2.5 2.9 3.1

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 120,866 121,666 120,542 122,567 2,921 2,698 3,041 3,332 2.4 2.2 2.5 2.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,810 66,858 64,588 65,999 1,752 1,580 1,835 1,985 2.7 2.4 2.8 3.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,664 123,170 121,948 123,823 3,841 3,394 3,983 4,154 3.2 2.8 3.3 3.4

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 673,685 680,580 675,490 685,502 19,960 17,991 20,197 20,599 3.0 2.6 3.0 3.0

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,717 157,650 157,378 159,190 4,334 3,882 4,461 4,483 2.8 2.5 2.8 2.8

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,192 60,125 59,272 60,485 1,546 1,367 1,616 1,618 2.6 2.3 2.7 2.7

Virginia Beach-Norfolk-Newport News. . . 851,306 852,479 855,330 861,263 25,249 23,930 25,832 27,252 3.0 2.8 3.0 3.2

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,834 73,238 72,113 73,685 1,928 1,751 1,976 1,961 2.7 2.4 2.7 2.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,759,638 3,863,466 3,770,988 3,876,783 160,358 171,083 156,767 162,826 4.3 4.4 4.2 4.2

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,706 115,682 111,121 115,198 5,103 5,823 4,795 5,410 4.6 5.0 4.3 4.7

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 121,228 126,368 122,029 126,793 5,694 6,235 5,344 5,766 4.7 4.9 4.4 4.5

Kennewick-Richland. . . . . . . . . . . . . . . . . . 139,481 144,373 141,154 145,992 7,484 8,246 6,861 7,417 5.4 5.7 4.9 5.1

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,527 46,968 45,711 46,930 2,742 3,021 2,549 2,893 6.0 6.4 5.6 6.2

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,319 61,927 59,781 62,101 3,037 3,420 2,845 3,271 5.1 5.5 4.8 5.3

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 136,471 142,922 136,944 142,110 6,426 7,303 6,109 6,695 4.7 5.1 4.5 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,104,620 2,147,338 2,104,442 2,154,084 73,183 72,629 75,346 73,205 3.5 3.4 3.6 3.4

Spokane-Spokane Valley. . . . . . . . . . . . . . 264,174 276,678 265,556 276,674 13,967 15,912 12,892 14,167 5.3 5.8 4.9 5.1

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,098 31,800 30,334 32,094 1,412 1,598 1,292 1,434 4.7 5.0 4.3 4.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 63,603 65,060 64,237 66,092 3,150 3,561 2,947 3,235 5.0 5.5 4.6 4.9

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,555 130,053 126,860 130,964 7,762 9,693 7,252 8,886 6.1 7.5 5.7 6.8

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 783,014 787,718 785,535 793,880 42,290 33,329 39,012 33,964 5.4 4.2 5.0 4.3

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,873 44,923 45,451 46,064 2,722 1,968 2,413 2,067 6.1 4.4 5.3 4.5

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,177 91,967 93,324 92,287 5,168 3,838 4,773 3,983 5.5 4.2 5.1 4.3

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 145,795 144,291 145,588 144,256 7,847 6,303 7,551 6,472 5.4 4.4 5.2 4.5

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 69,775 68,560 69,253 67,898 2,914 2,256 2,836 2,407 4.2 3.3 4.1 3.5

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,226 38,235 38,329 38,804 2,142 1,703 1,960 1,800 5.6 4.5 5.1 4.6

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,691 68,060 65,175 68,168 3,594 3,042 3,145 2,918 5.6 4.5 4.8 4.3

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,124,037 3,106,510 3,129,532 3,086,614 92,716 82,845 85,067 83,955 3.0 2.7 2.7 2.7

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,417 129,800 131,630 129,557 3,578 3,132 3,304 3,213 2.7 2.4 2.5 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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,529 92,786 93,255 91,787 2,713 2,559 2,267 2,405 2.9 2.8 2.4 2.6

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,330 57,154 57,440 57,038 1,438 1,220 1,389 1,370 2.5 2.1 2.4 2.4

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 174,660 174,901 174,963 174,274 4,962 4,318 4,471 4,578 2.8 2.5 2.6 2.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,172 85,491 85,000 85,027 2,573 2,408 2,466 2,606 3.0 2.8 2.9 3.1

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 78,262 78,517 77,514 77,664 2,001 1,857 1,847 1,921 2.6 2.4 2.4 2.5

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387,261 384,340 386,622 379,499 8,272 7,682 8,397 8,631 2.1 2.0 2.2 2.3

Milwaukee-Waukesha-West Allis. . . . . . . 821,555 821,202 820,349 815,025 24,451 22,142 24,232 23,925 3.0 2.7 3.0 2.9

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,185 92,351 92,845 91,823 2,433 2,148 2,348 2,345 2.6 2.3 2.5 2.6

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,081 98,434 99,257 97,761 3,474 3,130 3,229 3,108 3.5 3.2 3.3 3.2

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,231 62,400 62,852 62,622 1,496 1,306 1,496 1,450 2.4 2.1 2.4 2.3

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,771 73,708 73,889 73,193 2,012 1,752 1,825 1,779 2.7 2.4 2.5 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287,157 285,196 288,015 285,329 11,619 9,498 11,135 9,508 4.0 3.3 3.9 3.3

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,295 39,125 38,924 38,580 1,757 1,355 1,728 1,410 4.5 3.5 4.4 3.7

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,929 47,611 47,308 47,328 1,720 1,494 1,738 1,513 3.6 3.1 3.7 3.2

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,084,415 1,076,027 1,088,624 1,084,790 101,395 83,816 101,212 83,936 9.4 7.8 9.3 7.7

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 87,084 85,458 87,314 85,983 10,881 9,006 10,610 8,815 12.5 10.5 12.2 10.3

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,635 51,785 51,944 52,176 6,010 5,081 5,869 5,019 11.6 9.8 11.3 9.6

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,288 19,933 20,235 20,090 2,942 2,511 2,905 2,540 14.5 12.6 14.4 12.6

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,467 27,308 27,460 27,508 3,013 2,577 3,018 2,589 11.0 9.4 11.0 9.4

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,042 90,997 91,598 91,642 10,719 10,115 10,823 10,309 11.8 11.1 11.8 11.2

San German. . . . . . . . . . . . . . . . . . . . . . . . . 34,597 34,886 34,637 35,135 4,297 3,496 4,393 3,511 12.4 10.0 12.7 10.0

San Juan-Carolina-Caguas. . . . . . . . . . . . 730,020 724,889 732,106 730,748 57,791 46,209 57,660 46,251 7.9 6.4 7.9 6.3

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. 18-03, dated April 10, 2018, 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

2018 2019 2018 2019p

April May April May

2018 2019 2018 2019p 2018 2019 2018 2019p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,271,108 19,243,469 19,296,206 19,287,094 775,890 743,918 717,119 678,026 4.0 3.9 3.7 3.5

Los Angeles-Long Beach-Anaheim. . . 6,729,185 6,659,015 6,715,036 6,678,070 262,078 244,527 256,923 237,995 3.9 3.7 3.8 3.6

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,614,513 1,606,083 1,614,348 1,606,019 44,007 41,650 40,881 38,562 2.7 2.6 2.5 2.4

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,114,672 5,052,932 5,100,688 5,072,051 218,071 202,877 216,042 199,433 4.3 4.0 4.2 3.9

San Francisco-Oakland-Hayward. . . . . 2,558,098 2,578,934 2,562,095 2,585,828 65,367 62,182 60,319 57,439 2.6 2.4 2.4 2.2

Oakland-Hayward-Berkeley. . . . . . . . 1,401,611 1,404,041 1,403,415 1,407,437 40,382 38,684 37,197 35,986 2.9 2.8 2.7 2.6

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,016,918 1,034,845 1,018,773 1,038,254 21,852 20,557 20,286 18,767 2.1 2.0 2.0 1.8

San Rafael. . . . . . . . . . . . . . . . . . . . . . 139,569 140,048 139,907 140,137 3,133 2,941 2,836 2,686 2.2 2.1 2.0 1.9

District of Columbia. . . . . . . . . . . . . . . . . . . 405,784 412,561 404,595 414,087 20,934 20,928 21,537 21,789 5.2 5.1 5.3 5.3

Washington-Arlington-Alexandria2. . . . 3,384,044 3,412,280 3,395,509 3,439,611 103,837 97,368 107,921 107,557 3.1 2.9 3.2 3.1

Silver Spring-Frederick-Rockville3.. . 681,293 680,840 682,571 687,064 20,140 18,707 21,603 20,797 3.0 2.7 3.2 3.0

Washington-Arlington-Alexandria2.. . 2,702,751 2,731,440 2,712,938 2,752,547 83,697 78,661 86,318 86,760 3.1 2.9 3.2 3.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,189,508 10,265,561 10,249,456 10,365,951 349,665 300,849 345,015 318,572 3.4 2.9 3.4 3.1

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,147,500 3,182,322 3,158,766 3,195,366 112,487 92,873 108,860 98,006 3.6 2.9 3.4 3.1

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,027,380 1,027,288 1,038,530 1,041,716 33,489 28,690 33,475 30,819 3.3 2.8 3.2 3.0

Miami-Miami Beach-Kendall. . . . . . . 1,392,345 1,421,735 1,388,406 1,413,953 54,885 43,073 51,315 44,596 3.9 3.0 3.7 3.2

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 727,775 733,299 731,830 739,697 24,113 21,110 24,070 22,591 3.3 2.9 3.3 3.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,436,374 6,479,288 6,451,295 6,463,139 245,015 259,307 235,509 233,613 3.8 4.0 3.7 3.6

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,837,182 4,887,141 4,848,539 4,860,439 177,546 183,175 166,909 170,253 3.7 3.7 3.4 3.5

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,704,494 3,738,418 3,711,865 3,718,225 131,518 132,885 122,338 129,397 3.6 3.6 3.3 3.5

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 325,987 329,462 327,874 329,872 13,563 15,406 13,227 12,092 4.2 4.7 4.0 3.7

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 342,684 347,536 342,606 341,660 14,646 15,213 14,354 12,947 4.3 4.4 4.2 3.8

Lake County-Kenosha County2. . . . 464,017 471,725 466,194 470,682 17,819 19,671 16,990 15,817 3.8 4.2 3.6 3.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,777,446 3,814,093 3,789,870 3,836,916 123,249 99,559 124,560 119,548 3.3 2.6 3.3 3.1

Boston-Cambridge-Nashua2. . . . . . . . . 2,796,245 2,824,004 2,801,804 2,836,089 81,822 66,627 83,937 80,632 2.9 2.4 3.0 2.8

Boston-Cambridge-Newton. . . . . . . . 1,667,751 1,687,734 1,670,508 1,694,191 45,363 36,687 47,419 45,897 2.7 2.2 2.8 2.7

Brockton-Bridgewater-Easton. . . . . . 110,966 111,931 110,845 112,137 3,940 3,096 4,030 3,769 3.6 2.8 3.6 3.4

Framingham. . . . . . . . . . . . . . . . . . . . . 162,515 162,867 162,906 163,996 4,374 3,557 4,437 4,332 2.7 2.2 2.7 2.6

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 117,301 118,325 118,320 119,553 3,611 3,184 3,476 3,410 3.1 2.7 2.9 2.9

Lawrence-Methuen Town-Salem2.. . 99,537 98,568 99,993 99,088 4,504 3,563 4,558 4,095 4.5 3.6 4.6 4.1

Lowell-Billerica-Chelmsford2. . . . . . . 196,491 198,174 196,820 199,403 6,364 4,987 6,436 6,070 3.2 2.5 3.3 3.0

Lynn-Saugus-Marblehead. . . . . . . . . 86,685 87,094 87,050 87,697 2,703 2,217 2,821 2,776 3.1 2.5 3.2 3.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 173,095 176,425 173,345 176,193 5,048 4,594 4,744 4,544 2.9 2.6 2.7 2.6

Peabody-Salem-Beverly. . . . . . . . . . . 94,805 95,511 94,893 95,860 2,867 2,310 2,987 2,843 3.0 2.4 3.1 3.0

Taunton-Middleborough-Norton. . . . 87,099 87,375 87,124 87,971 3,048 2,432 3,029 2,896 3.5 2.8 3.5 3.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,865,880 4,926,510 4,907,004 4,951,857 180,285 183,606 173,340 195,058 3.7 3.7 3.5 3.9

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,100,974 2,134,358 2,121,255 2,140,593 73,832 83,828 73,847 91,946 3.5 3.9 3.5 4.3

Detroit-Dearborn-Livonia. . . . . . . . . . 782,942 796,687 788,519 797,822 32,596 36,613 34,101 40,879 4.2 4.6 4.3 5.1

Warren-Troy-Farmington Hills. . . . . . 1,318,033 1,337,672 1,332,735 1,342,769 41,237 47,216 39,745 51,066 3.1 3.5 3.0 3.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,514,505 9,542,495 9,536,204 9,539,001 383,604 339,292 350,083 360,778 4.0 3.6 3.7 3.8

New York-Newark-Jersey City2. . . . . . 9,892,429 9,890,327 9,907,779 9,901,257 377,538 321,402 359,306 348,410 3.8 3.2 3.6 3.5

Dutchess County-Putnam County.. . 193,691 196,510 194,835 196,586 7,083 6,140 6,645 6,386 3.7 3.1 3.4 3.2

Nassau County-Suffolk County. . . . . 1,474,152 1,485,528 1,489,321 1,493,794 53,250 44,676 49,841 47,173 3.6 3.0 3.3 3.2

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,215,918 1,213,313 1,218,023 1,216,691 48,455 36,055 47,803 37,318 4.0 3.0 3.9 3.1

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,008,668 6,994,976 7,005,600 6,994,186 268,750 234,531 255,017 257,533 3.8 3.4 3.6 3.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,378,250 6,421,347 6,403,511 6,471,001 252,656 205,924 248,799 242,836 4.0 3.2 3.9 3.8

Philadelphia-Camden-Wilmington2. . . . 3,068,374 3,100,010 3,067,259 3,105,396 120,347 97,010 120,594 110,664 3.9 3.1 3.9 3.6

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 621,552 622,667 620,223 623,345 24,738 18,569 24,480 19,173 4.0 3.0 3.9 3.1

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,063,051 1,074,094 1,067,916 1,081,151 33,931 28,048 34,092 33,559 3.2 2.6 3.2 3.1

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,001,421 1,016,034 999,750 1,014,976 47,191 38,469 48,174 45,940 4.7 3.8 4.8 4.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . 382,350 387,215 379,370 385,924 14,487 11,924 13,848 11,992 3.8 3.1 3.7 3.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,817,292 14,000,887 13,810,959 13,966,869 507,416 415,613 498,723 408,694 3.7 3.0 3.6 2.9

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,876,171 3,964,887 3,877,185 3,951,005 128,600 110,688 127,704 107,811 3.3 2.8 3.3 2.7

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,614,152 2,685,361 2,614,027 2,674,257 87,372 75,052 86,537 72,997 3.3 2.8 3.3 2.7

Fort Worth-Arlington. . . . . . . . . . . . . . 1,262,019 1,279,526 1,263,158 1,276,748 41,228 35,636 41,167 34,814 3.3 2.8 3.3 2.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,759,638 3,863,466 3,770,988 3,876,783 160,358 171,083 156,767 162,826 4.3 4.4 4.2 4.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,104,620 2,147,338 2,104,442 2,154,084 73,183 72,629 75,346 73,205 3.5 3.4 3.6 3.4

Seattle-Bellevue-Everett. . . . . . . . . . . 1,685,120 1,711,007 1,683,847 1,718,026 51,298 48,915 54,498 50,900 3.0 2.9 3.2 3.0

Tacoma-Lakewood. . . . . . . . . . . . . . . 419,500 436,331 420,595 436,058 21,885 23,714 20,848 22,305 5.2 5.4 5.0 5.1

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

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

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

p Preliminary

NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, 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 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,039.9 2,074.6 2,042.9 2,081.7 38.8 1.9

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 47.1 47.2 47.2 0.0 0.0

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.0 67.2 64.5 66.8 2.3 3.6

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 536.6 545.9 537.6 548.2 10.6 2.0

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 80.2 79.0 81.6 2.6 3.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.2 56.7 55.5 57.4 1.9 3.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.4 58.9 59.6 0.7 1.2

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.1 57.0 57.4 0.4 0.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.9 38.6 37.8 38.8 1.0 2.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.8 242.0 238.2 241.3 3.1 1.3

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.4 187.4 185.1 187.9 2.8 1.5

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.3 178.8 178.0 179.7 1.7 1.0

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.4 112.5 108.5 112.0 3.5 3.2

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319.3 324.7 332.6 334.9 2.3 0.7

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.5 174.7 178.3 179.0 0.7 0.4

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.1 36.9 38.4 37.8 -0.6 -1.6

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,852.5 2,929.6 2,844.6 2,919.6 75.0 2.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 68.6 68.5 68.2 -0.3 -0.4

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 52.8 51.1 52.9 1.8 3.5

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,101.3 2,166.5 2,094.5 2,161.0 66.5 3.2

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 66.4 65.6 65.7 0.1 0.2

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.8 33.8 33.7 -0.1 -0.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383.2 389.4 381.7 388.0 6.3 1.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.4 56.9 54.5 56.1 1.6 2.9

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,264.7 1,279.5 1,269.1 1,283.4 14.3 1.1

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.0 263.7 260.1 264.4 4.3 1.7

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.6 113.8 114.5 113.9 -0.6 -0.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 39.9 38.7 39.8 1.1 2.8

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 59.3 58.7 59.4 0.7 1.2

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.4 363.7 361.8 367.0 5.2 1.4

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 33.4 33.4 33.3 -0.1 -0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,119.0 17,401.6 17,179.6 17,445.6 266.0 1.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.9 271.9 267.2 272.5 5.3 2.0

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.3 84.6 83.8 84.9 1.1 1.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.4 52.0 52.4 52.5 0.1 0.2

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351.4 364.9 353.7 365.7 12.0 3.4

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.8 40.9 40.9 41.6 0.7 1.7

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,146.7 6,216.1 6,151.0 6,228.5 77.5 1.3

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.9 38.3 39.3 1.0 2.6

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 69.9 69.2 70.3 1.1 1.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.7 178.6 178.4 179.7 1.3 0.7

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 74.6 75.0 75.2 0.2 0.3

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.6 312.9 310.7 312.7 2.0 0.6

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 67.3 67.5 68.3 0.8 1.2

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,499.3 1,523.1 1,502.0 1,528.7 26.7 1.8

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 992.8 1,016.6 998.6 1,022.7 24.1 2.4

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.4 146.8 143.3 147.5 4.2 2.9

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,480.0 1,501.6 1,485.0 1,510.6 25.6 1.7

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,426.6 2,489.1 2,436.1 2,502.5 66.4 2.7

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,117.2 1,148.3 1,125.0 1,153.0 28.0 2.5

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 118.9 120.6 119.5 120.6 1.1 0.9

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.3 104.7 104.6 105.7 1.1 1.1

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.6 188.4 185.2 189.3 4.1 2.2

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.8 210.8 209.6 212.4 2.8 1.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.8 240.8 241.3 242.0 0.7 0.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.7 142.1 142.1 141.9 -0.2 -0.1

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 128.5 127.0 129.1 2.1 1.7

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.8 44.7 44.9 0.2 0.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,709.3 2,756.7 2,715.4 2,763.6 48.2 1.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.7 199.6 195.7 202.3 6.6 3.4

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290.5 295.9 293.3 298.8 5.5 1.9

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,493.1 1,511.0 1,502.5 1,520.4 17.9 1.2

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169.6 174.1 171.3 175.8 4.5 2.6

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 65.9 64.7 66.5 1.8 2.8

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.1 111.8 109.4 112.1 2.7 2.5

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.1 63.6 63.6 0.0 0.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,681.1 1,692.7 1,699.0 1,703.7 4.7 0.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.6 408.2 410.2 411.7 1.5 0.4

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.0 77.5 77.8 78.2 0.4 0.5

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579.1 582.0 585.2 588.0 2.8 0.5

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.4 286.6 287.8 288.9 1.1 0.4

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.7 128.8 130.6 130.9 0.3 0.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 69.0 69.5 69.7 0.2 0.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 459.9 464.2 465.5 469.7 4.2 0.9

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 70.2 70.5 71.2 0.7 1.0

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.6 160.8 165.6 166.2 0.6 0.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793.3 796.7 791.1 794.5 3.4 0.4

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.4 3,326.9 3,314.7 3,339.7 25.0 0.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,779.3 8,991.0 8,773.6 8,982.9 209.3 2.4

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273.0 283.1 270.3 279.9 9.6 3.6

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.3 118.7 117.2 119.7 2.5 2.1

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.6 207.7 204.0 207.7 3.7 1.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.6 148.5 143.2 145.4 2.2 1.5

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 34.3 33.7 34.4 0.7 2.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 706.8 716.9 709.8 724.1 14.3 2.0

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.1 233.3 226.1 232.8 6.7 3.0

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,676.0 2,735.5 2,677.6 2,731.9 54.3 2.0

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.6 156.7 150.7 156.0 5.3 3.5

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.1 314.4 308.9 312.6 3.7 1.2

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.3 107.6 104.1 107.6 3.5 3.4

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,289.2 1,336.7 1,290.3 1,330.9 40.6 3.1

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.2 230.2 223.2 231.3 8.1 3.6

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 84.1 86.9 84.9 -2.0 -2.3

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 185.2 181.9 185.0 3.1 1.7

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.7 156.9 151.8 156.8 5.0 3.3

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.2 50.8 48.8 50.3 1.5 3.1

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 55.3 53.3 55.1 1.8 3.4

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.4 26.5 26.2 26.3 0.1 0.4

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.9 190.5 183.5 187.5 4.0 2.2

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,350.4 1,376.4 1,348.9 1,376.0 27.1 2.0

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.0 30.9 29.8 30.7 0.9 3.0

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,521.0 4,600.0 4,539.4 4,608.5 69.1 1.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.2 62.6 63.1 0.5 0.8

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 99.1 98.2 98.8 0.6 0.6

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,767.6 2,826.3 2,783.5 2,835.9 52.4 1.9

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.6 249.3 241.3 244.1 2.8 1.2

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.7 45.5 46.3 0.8 1.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.4 123.3 123.4 123.1 -0.3 -0.2

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 69.4 67.8 69.5 1.7 2.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.0 95.6 91.6 96.3 4.7 5.1

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 21.0 20.6 21.0 0.4 1.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.1 103.8 103.3 104.1 0.8 0.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 42.4 41.5 42.2 0.7 1.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.0 184.9 184.6 185.8 1.2 0.7

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 57.5 56.3 57.5 1.2 2.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.1 77.6 76.2 77.8 1.6 2.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 656.1 659.9 657.7 661.1 3.4 0.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.0 78.0 77.2 77.7 0.5 0.6

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.9 480.8 478.9 482.7 3.8 0.8

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 731.2 747.8 740.5 757.7 17.2 2.3

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329.2 341.6 331.7 343.8 12.1 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 66.8 66.6 68.9 2.3 3.5

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 69.9 68.1 70.7 2.6 3.8

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 28.5 28.8 28.8 0.0 0.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 37.6 37.1 37.8 0.7 1.9

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.8 46.3 47.0 0.7 1.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,078.5 6,159.8 6,134.5 6,209.9 75.4 1.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.0 93.0 93.1 93.2 0.1 0.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 59.8 56.9 58.5 1.6 2.8

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.7 113.7 112.6 113.4 0.8 0.7

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,698.4 4,774.7 4,751.1 4,816.1 65.0 1.4

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.9 27.6 28.0 27.7 -0.3 -1.1

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.5 187.9 187.7 190.3 2.6 1.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.6 51.9 52.1 52.3 0.2 0.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.2 46.0 46.5 0.5 1.1

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.3 176.4 174.9 178.2 3.3 1.9

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.9 154.0 153.9 154.9 1.0 0.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.1 114.9 115.0 116.0 1.0 0.9

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,137.8 3,174.1 3,167.4 3,181.0 13.6 0.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.6 79.9 78.9 73.3 -5.6 -7.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 54.2 53.4 54.5 1.1 2.1

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 142.7 143.5 144.4 0.9 0.6

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.8 164.0 162.3 165.0 2.7 1.7

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.3 227.7 226.9 230.4 3.5 1.5

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,063.7 1,075.9 1,076.3 1,082.2 5.9 0.5

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 41.6 41.3 41.8 0.5 1.2

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.6 105.5 107.6 102.6 -5.0 -4.6

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.0 42.4 41.4 -1.0 -2.4

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 51.6 51.5 49.3 -2.2 -4.3

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.3 145.3 145.0 147.1 2.1 1.4

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 71.2 71.5 71.4 -0.1 -0.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,583.3 1,591.3 1,599.9 1,605.6 5.7 0.4

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.9 56.0 53.3 55.4 2.1 3.9

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.8 145.1 146.0 145.4 -0.6 -0.4

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369.5 377.1 374.4 383.9 9.5 2.5

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.5 61.6 61.5 61.8 0.3 0.5

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.5 101.3 101.4 100.1 -1.3 -1.3

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 90.3 88.4 91.3 2.9 3.3

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.2 92.5 93.0 92.8 -0.2 -0.2

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,416.2 1,428.1 1,421.0 1,437.5 16.5 1.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 54.7 52.9 54.2 1.3 2.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 44.2 42.4 43.5 1.1 2.6

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 113.4 112.5 114.4 1.9 1.7

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298.5 302.9 300.0 303.2 3.2 1.1

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,931.4 1,951.8 1,941.2 1,963.1 21.9 1.1

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 78.2 77.3 78.6 1.3 1.7

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.5 57.0 57.8 0.8 1.4

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.0 280.9 277.8 282.8 5.0 1.8

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.4 674.7 671.5 680.9 9.4 1.4

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.6 54.5 54.7 54.5 -0.2 -0.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,984.7 1,987.7 1,990.7 1,995.0 4.3 0.2

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 61.6 62.0 61.4 -0.6 -1.0

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.0 411.2 411.8 412.0 0.2 0.0

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 45.8 45.8 46.0 0.2 0.4

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 84.3 87.6 84.7 -2.9 -3.3

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 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.3 205.3 203.9 206.9 3.0 1.5

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.7 118.6 118.2 118.7 0.5 0.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.5 78.4 79.0 78.8 -0.2 -0.3

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577.9 587.0 579.1 585.5 6.4 1.1

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.4 179.1 182.2 179.3 -2.9 -1.6

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 618.5 619.9 631.1 632.2 1.1 0.2

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 67.7 67.2 67.4 0.2 0.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 51.0 51.3 51.5 0.2 0.4

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206.6 206.5 211.1 211.4 0.3 0.1

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,741.6 2,760.0 2,764.8 2,776.4 11.6 0.4

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,413.4 1,430.6 1,423.3 1,435.6 12.3 0.9

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.1 46.0 46.3 0.3 0.7

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.1 39.7 39.6 39.9 0.3 0.8

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 106.2 105.5 106.8 1.3 1.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,628.9 3,656.9 3,662.2 3,685.0 22.8 0.6

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.7 102.8 107.1 108.4 1.3 1.2

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,764.2 2,782.5 2,784.6 2,800.0 15.4 0.6

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 54.9 54.6 55.6 1.0 1.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 67.4 66.2 68.0 1.8 2.7

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.0 39.9 41.1 40.7 -0.4 -1.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337.8 346.4 338.0 345.0 7.0 2.1

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.5 286.7 289.7 286.9 -2.8 -1.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,391.9 4,425.6 4,448.2 4,470.0 21.8 0.5

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.0 226.3 220.4 222.0 1.6 0.7

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.0 58.1 58.9 58.8 -0.1 -0.2

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 35.0 35.5 35.2 -0.3 -0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,018.9 2,026.9 2,043.5 2,054.2 10.7 0.5

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.2 142.7 141.8 140.4 -1.4 -1.0

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 564.2 568.8 570.2 573.2 3.0 0.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.6 59.9 60.5 0.6 1.0

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.5 150.5 150.0 150.8 0.8 0.5

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.2 239.0 240.2 239.8 -0.4 -0.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 37.8 38.8 38.4 -0.4 -1.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 42.1 41.7 42.4 0.7 1.7

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 65.3 65.8 66.4 0.6 0.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 62.5 63.1 63.3 0.2 0.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 87.2 87.9 87.4 -0.5 -0.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,924.7 2,935.2 2,972.4 2,976.6 4.2 0.1

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.0 136.4 138.5 137.5 -1.0 -0.7

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.5 58.3 58.5 0.2 0.3

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,993.1 1,995.8 2,021.4 2,016.5 -4.9 -0.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.1 123.0 122.5 124.1 1.6 1.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.8 111.5 110.2 112.0 1.8 1.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,157.0 1,167.8 1,157.4 1,171.1 13.7 1.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.0 157.0 156.5 157.0 0.5 0.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 67.8 64.4 67.2 2.8 4.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.8 285.0 279.7 284.8 5.1 1.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,897.3 2,925.7 2,908.9 2,941.4 32.5 1.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.7 45.0 45.8 0.8 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.3 101.3 101.0 101.1 0.1 0.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 76.8 77.2 77.1 -0.1 -0.1

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.3 82.2 81.6 82.2 0.6 0.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,094.2 1,107.7 1,096.8 1,116.5 19.7 1.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.4 63.3 63.7 0.4 0.6

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,386.0 1,407.6 1,393.1 1,414.4 21.3 1.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216.5 221.4 217.1 221.4 4.3 2.0

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 472.7 476.3 481.4 485.3 3.9 0.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.7 85.2 86.9 86.1 -0.8 -0.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Montana - Continued

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.8 36.3 36.4 36.7 0.3 0.8

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 63.3 63.4 64.5 1.1 1.7

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022.0 1,026.6 1,033.8 1,039.5 5.7 0.6

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.3 42.7 42.6 -0.1 -0.2

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.3 191.1 192.6 193.2 0.6 0.3

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501.3 507.8 507.5 514.4 6.9 1.4

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,374.2 1,428.4 1,384.1 1,437.7 53.6 3.9

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.0 31.1 30.5 31.5 1.0 3.3

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999.2 1,027.4 1,006.2 1,035.7 29.5 2.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.4 254.8 243.1 257.7 14.6 6.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673.7 683.4 682.4 691.0 8.6 1.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.5 54.5 54.8 55.4 0.6 1.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.4 115.2 115.0 115.7 0.7 0.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.1 93.2 94.1 95.3 1.2 1.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,126.0 4,179.7 4,175.1 4,214.2 39.1 0.9

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 133.0 129.0 134.6 5.6 4.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 41.0 44.0 47.5 3.5 8.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.6 279.6 274.4 280.1 5.7 2.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 60.0 59.7 60.8 1.1 1.8

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 842.8 854.9 843.5 859.4 15.9 1.9

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.5 395.5 392.0 397.1 5.1 1.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 48.5 48.5 48.8 0.3 0.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.3 74.6 74.2 75.3 1.1 1.5

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 63.1 63.9 63.9 0.0 0.0

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,634.6 9,752.0 9,710.1 9,805.7 95.6 1.0

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.5 475.2 473.8 475.8 2.0 0.4

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.9 104.3 105.4 104.6 -0.8 -0.8

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559.5 563.7 567.1 569.2 2.1 0.4

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 36.8 37.1 37.2 0.1 0.3

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.9 55.6 56.6 1.0 1.8

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 68.0 65.4 67.0 1.6 2.4

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.8 63.7 65.0 1.3 2.0

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,792.1 9,917.8 9,868.4 9,982.4 114.0 1.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.5 541.2 543.3 546.4 3.1 0.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.3 325.3 320.4 326.6 6.2 1.9

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.1 128.1 129.5 128.6 -0.9 -0.7

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.1 42.8 43.1 0.3 0.7

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,489.8 4,560.2 4,528.4 4,587.7 59.3 1.3

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195.0 202.3 197.1 204.2 7.1 3.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.0 62.8 63.3 0.5 0.8

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,201.3 1,232.3 1,210.4 1,240.4 30.0 2.5

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.7 319.0 318.0 319.0 1.0 0.3

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.6 133.1 132.4 133.5 1.1 0.8

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 41.6 42.1 41.9 -0.2 -0.5

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.4 363.1 362.9 363.4 0.5 0.1

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.6 81.0 82.0 81.5 -0.5 -0.6

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.4 155.8 155.7 155.5 -0.2 -0.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 49.9 50.3 50.0 -0.3 -0.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.7 44.9 45.0 45.1 0.1 0.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 632.7 640.3 638.0 642.8 4.8 0.8

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.8 55.6 55.9 56.0 0.1 0.2

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.1 131.3 132.0 133.7 1.7 1.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267.1 270.9 268.6 273.6 5.0 1.9

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 428.4 430.9 438.0 439.9 1.9 0.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.2 72.1 72.8 73.4 0.6 0.8

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.8 141.3 143.2 143.7 0.5 0.3

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 55.2 56.4 55.7 -0.7 -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 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,543.4 5,585.2 5,593.4 5,632.9 39.5 0.7

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340.4 340.3 340.0 343.2 3.2 0.9

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.2 175.3 175.9 177.2 1.3 0.7

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,102.9 1,124.6 1,113.3 1,135.5 22.2 2.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,062.0 1,076.5 1,074.1 1,088.1 14.0 1.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,090.9 1,106.4 1,102.1 1,114.3 12.2 1.1

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.5 390.3 391.0 391.9 0.9 0.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.2 53.2 53.7 0.5 0.9

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 53.2 53.5 54.0 0.5 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.5 50.2 50.9 0.7 1.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.1 310.4 311.2 311.5 0.3 0.1

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 39.9 40.9 40.0 -0.9 -2.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.1 217.0 224.1 219.5 -4.6 -2.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,681.2 1,700.3 1,690.3 1,700.9 10.6 0.6

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.4 25.4 25.7 25.3 -0.4 -1.6

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.6 45.6 45.8 0.2 0.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647.0 657.9 649.7 659.9 10.2 1.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452.2 456.0 454.6 454.7 0.1 0.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,903.8 1,940.4 1,916.6 1,952.6 36.0 1.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.6 46.1 46.6 0.5 1.1

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.8 86.3 84.9 87.1 2.2 2.6

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.7 44.9 45.2 0.3 0.7

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.8 163.7 163.3 164.9 1.6 1.0

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.1 27.7 27.6 28.1 0.5 1.8

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.6 90.3 88.9 91.2 2.3 2.6

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,189.6 1,214.9 1,193.7 1,219.2 25.5 2.1

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.0 171.0 169.3 172.8 3.5 2.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,008.8 6,056.1 6,040.1 6,090.7 50.6 0.8

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373.9 375.7 377.2 380.6 3.4 0.9

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 61.8 61.9 62.5 0.6 1.0

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.3 43.1 42.6 43.4 0.8 1.9

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 62.8 61.5 63.1 1.6 2.6

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 58.3 58.8 59.2 0.4 0.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.8 128.8 128.7 129.9 1.2 0.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 35.7 35.3 35.8 0.5 1.4

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346.0 348.3 348.0 350.4 2.4 0.7

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.2 55.0 55.5 0.5 0.9

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.6 257.9 258.7 259.9 1.2 0.5

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 54.1 53.8 54.9 1.1 2.0

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,936.7 2,974.2 2,948.3 2,983.0 34.7 1.2

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,185.9 1,194.4 1,193.1 1,202.2 9.1 0.8

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.0 181.6 181.2 182.5 1.3 0.7

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.7 263.7 265.8 265.5 -0.3 -0.1

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.2 83.7 80.9 83.0 2.1 2.6

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.0 53.2 53.9 53.5 -0.4 -0.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.2 187.5 189.0 189.0 0.0 0.0

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494.2 498.0 501.7 502.8 1.1 0.2

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.5 594.2 598.9 599.4 0.5 0.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,142.2 2,179.9 2,156.2 2,189.6 33.4 1.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.1 371.8 366.2 374.8 8.6 2.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399.2 402.5 401.7 405.2 3.5 0.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.0 92.9 91.8 93.1 1.3 1.4

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424.9 429.8 427.0 432.0 5.0 1.2

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.1 84.6 83.3 85.8 2.5 3.0

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.0 180.4 177.1 184.4 7.3 4.1

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.0 161.8 159.0 162.2 3.2 2.0

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 41.1 40.4 41.2 0.8 2.0

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431.8 441.8 443.4 451.7 8.3 1.9

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 68.6 70.2 70.4 0.2 0.3

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.8 160.7 158.7 163.3 4.6 2.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,052.2 3,104.2 3,061.6 3,112.3 50.7 1.7

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.5 265.3 260.0 265.6 5.6 2.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.3 94.6 92.7 94.9 2.2 2.4

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 47.2 45.9 47.1 1.2 2.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.9 70.2 69.1 70.6 1.5 2.2

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 82.2 80.4 81.4 1.0 1.2

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.4 123.5 122.2 124.0 1.8 1.5

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399.9 406.2 401.9 407.9 6.0 1.5

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 644.6 654.1 647.1 656.9 9.8 1.5

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 46.9 46.7 47.2 0.5 1.1

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,004.9 1,030.5 1,007.4 1,030.6 23.2 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,427.6 12,745.4 12,498.0 12,799.2 301.2 2.4

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.4 70.6 70.8 70.7 -0.1 -0.1

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.3 120.9 120.7 121.5 0.8 0.7

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,062.9 1,087.8 1,070.1 1,095.5 25.4 2.4

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.0 167.8 165.9 168.3 2.4 1.4

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.7 142.8 140.7 143.4 2.7 1.9

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.4 123.3 120.0 124.0 4.0 3.3

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.8 195.4 194.8 195.4 0.6 0.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,649.0 3,768.0 3,673.0 3,780.0 107.0 2.9

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.7 321.8 317.9 323.5 5.6 1.8

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,065.1 3,151.5 3,083.8 3,163.6 79.8 2.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 146.5 143.2 146.6 3.4 2.4

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 106.3 104.6 106.7 2.1 2.0

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.3 96.7 98.0 97.0 -1.0 -1.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.2 150.3 148.9 150.9 2.0 1.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.6 271.6 265.9 272.4 6.5 2.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.4 110.0 107.7 110.9 3.2 3.0

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 82.3 80.7 82.7 2.0 2.5

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 50.7 49.9 50.7 0.8 1.6

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,054.4 1,077.0 1,057.6 1,076.5 18.9 1.8

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.4 48.5 47.6 49.1 1.5 3.2

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 60.4 59.8 60.4 0.6 1.0

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.3 107.3 106.9 108.1 1.2 1.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.9 41.9 41.9 0.0 0.0

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.9 122.5 121.2 122.6 1.4 1.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 60.0 59.8 59.7 -0.1 -0.2

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,506.8 1,554.5 1,512.2 1,556.4 44.2 2.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 65.3 63.8 65.8 2.0 3.1

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.8 269.8 262.5 272.4 9.9 3.8

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.4 271.1 259.3 266.9 7.6 2.9

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 71.3 68.7 71.7 3.0 4.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 726.9 743.9 730.2 746.3 16.1 2.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.1 314.3 311.3 314.1 2.8 0.9

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.4 126.5 125.0 126.6 1.6 1.3

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,001.4 4,038.6 4,013.8 4,039.0 25.2 0.6

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 78.6 78.2 77.5 -0.7 -0.9

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.2 121.3 119.5 120.6 1.1 0.9

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 70.2 67.2 68.2 1.0 1.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.6 106.5 105.0 105.8 0.8 0.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675.3 683.7 677.3 683.8 6.5 1.0

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.7 163.2 162.3 163.7 1.4 0.9

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 51.6 50.8 51.7 0.9 1.8

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.8 793.7 796.5 796.3 -0.2 0.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 65.9 64.7 65.7 1.0 1.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,382.9 3,471.7 3,413.3 3,502.2 88.9 2.6

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.6 98.3 96.3 98.6 2.3 2.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.5 94.9 93.6 95.8 2.2 2.4

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.6 119.0 117.1 120.8 3.7 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 40.4 40.3 40.5 0.2 0.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

April May Change from

May 2018 to May 2019p

2018 2019 2018 2019p Number Percent

Washington - Continued

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 52.5 51.7 52.8 1.1 2.1

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.7 123.4 120.3 123.3 3.0 2.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,029.7 2,084.9 2,045.4 2,101.4 56.0 2.7

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249.6 256.6 251.8 259.1 7.3 2.9

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.9 28.9 27.9 29.3 1.4 5.0

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 45.9 46.1 46.7 0.6 1.3

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.9 87.8 87.5 88.9 1.4 1.6

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721.0 734.6 734.7 741.3 6.6 0.9

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 43.6 44.7 44.8 0.1 0.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.6 109.6 112.5 110.4 -2.1 -1.9

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134.9 133.9 135.9 134.4 -1.5 -1.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.9 70.4 72.1 69.7 -2.4 -3.3

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.3 39.0 39.0 0.0 0.0

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 69.2 67.1 70.2 3.1 4.6

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,953.8 2,964.3 2,984.3 2,993.1 8.8 0.3

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.1 124.9 126.7 126.7 0.0 0.0

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 88.0 88.2 88.4 0.2 0.2

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 48.9 48.7 49.4 0.7 1.4

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.9 181.6 181.0 183.5 2.5 1.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.5 70.6 69.7 71.3 1.6 2.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 80.4 79.2 80.4 1.2 1.5

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402.6 404.0 404.2 403.0 -1.2 -0.3

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869.7 877.0 874.9 880.9 6.0 0.7

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.1 98.1 98.2 98.6 0.4 0.4

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 78.3 79.2 79.2 0.0 0.0

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.5 63.5 64.7 1.2 1.9

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 73.3 72.9 73.9 1.0 1.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.4 283.3 286.5 290.8 4.3 1.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 39.2 39.2 39.6 0.4 1.0

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 46.6 46.6 47.3 0.7 1.5

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 854.7 872.5 858.6 872.5 13.9 1.6

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 51.1 50.9 51.2 0.3 0.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 34.0 33.3 34.2 0.9 2.7

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.6 13.7 13.5 13.7 0.2 1.5

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.5 32.0 31.5 32.0 0.5 1.6

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 67.0 66.7 66.8 0.1 0.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.9 20.4 18.9 20.3 1.4 7.4

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 622.2 634.6 625.7 634.9 9.2 1.5

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 34.7 33.4 34.7 1.3 3.9

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 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. 18-03, dated April 10, 2018, 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 2018 to May 2019p

2018 2019 2018 2019p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,119.0 17,401.6 17,179.6 17,445.6 266.0 1.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,146.7 6,216.1 6,151.0 6,228.5 77.5 1.3

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,646.0 1,664.3 1,649.9 1,668.5 18.6 1.1

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,500.7 4,551.8 4,501.1 4,560.0 58.9 1.3

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,426.6 2,489.1 2,436.1 2,502.5 66.4 2.7

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,177.7 1,194.9 1,181.9 1,200.9 19.0 1.6

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,133.1 1,175.5 1,137.6 1,182.6 45.0 4.0

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.8 118.7 116.6 119.0 2.4 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793.3 796.7 791.1 794.5 3.4 0.4

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,300.4 3,326.9 3,314.7 3,339.7 25.0 0.8

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595.6 596.1 599.7 600.8 1.1 0.2

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,704.8 2,730.8 2,715.0 2,738.9 23.9 0.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,779.3 8,991.0 8,773.6 8,982.9 209.3 2.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,676.0 2,735.5 2,677.6 2,731.9 54.3 2.0

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 850.6 865.2 853.0 864.2 11.2 1.3

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,193.6 1,221.3 1,194.1 1,222.4 28.3 2.4

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631.8 649.0 630.5 645.3 14.8 2.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,078.5 6,159.8 6,134.5 6,209.9 75.4 1.2

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,698.4 4,774.7 4,751.1 4,816.1 65.0 1.4

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,741.4 3,799.3 3,782.5 3,830.4 47.9 1.3

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.0 264.3 263.7 268.2 4.5 1.7

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.7 281.8 280.8 283.7 2.9 1.0

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418.3 429.3 424.1 433.8 9.7 2.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,628.9 3,656.9 3,662.2 3,685.0 22.8 0.6

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,764.2 2,782.5 2,784.6 2,800.0 15.4 0.6

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,866.1 1,885.0 1,877.5 1,893.4 15.9 0.8

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.9 82.6 82.4 82.8 0.4 0.5

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.0 172.3 175.5 173.9 -1.6 -0.9

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 67.5 68.5 69.3 0.8 1.2

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.2 80.8 84.4 81.6 -2.8 -3.3

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.5 159.5 160.1 161.3 1.2 0.7

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 45.5 46.5 46.0 -0.5 -1.1

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.1 130.9 130.4 132.2 1.8 1.4

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.5 96.8 97.0 97.1 0.1 0.1

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 61.6 62.3 62.4 0.1 0.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,391.9 4,425.6 4,448.2 4,470.0 21.8 0.5

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,018.9 2,026.9 2,043.5 2,054.2 10.7 0.5

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 762.6 766.7 766.5 773.5 7.0 0.9

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,256.3 1,260.2 1,277.0 1,280.7 3.7 0.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,634.6 9,752.0 9,710.1 9,805.7 95.6 1.0

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,792.1 9,917.8 9,868.4 9,982.4 114.0 1.2

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.9 150.2 149.2 151.9 2.7 1.8

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,344.0 1,347.1 1,360.3 1,363.7 3.4 0.2

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,215.8 1,224.2 1,227.9 1,231.0 3.1 0.3

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,084.4 7,196.3 7,131.0 7,235.8 104.8 1.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,008.8 6,056.1 6,040.1 6,090.7 50.6 0.8

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,936.7 2,974.2 2,948.3 2,983.0 34.7 1.2

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.1 542.5 541.7 544.4 2.7 0.5

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,070.6 1,080.1 1,077.4 1,087.2 9.8 0.9

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 965.5 985.5 964.7 982.6 17.9 1.9

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.5 366.1 364.5 368.8 4.3 1.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,427.6 12,745.4 12,498.0 12,799.2 301.2 2.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,649.0 3,768.0 3,673.0 3,780.0 107.0 2.9

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,598.5 2,697.9 2,615.4 2,704.8 89.4 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,050.5 1,070.1 1,057.6 1,075.2 17.6 1.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,382.9 3,471.7 3,413.3 3,502.2 88.9 2.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,029.7 2,084.9 2,045.4 2,101.4 56.0 2.7

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,709.5 1,757.9 1,723.6 1,773.3 49.7 2.9

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320.2 327.0 321.8 328.1 6.3 2.0

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, 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 adjusted, 

May 2019

(U.S. rate = 3.4 percent)

Map includes data for 389 metropolitan areas based

on Office of Management and Budget Bulletin No. 18-03. 

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:

Above U.S. average

U.S. average or below
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, May 2019

(U.S. average = 1.5 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 389

metropolitan areas based on Office of

Management and Budget Bulletin No. 18-

03. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.