For release 10:00 a.m. (EDT) Wednesday, May 29, 2019 USDL-19-0885 

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 — APRIL 2019

Unemployment rates were lower in April than a year earlier in 306 of the 389 metropolitan areas, 

higher in 57 areas, and unchanged in 26 areas, the U.S. Bureau of Labor Statistics reported 

today. A total of 149 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 

and was essentially unchanged in 343 areas. The national unemployment rate in April was 3.3 

percent, not seasonally adjusted, down from 3.7 percent 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 April, Ames, IA, had the lowest unemployment rate, 1.3 percent. The next lowest rates were 

in Burlington-South Burlington, VT, and Iowa City, IA, 1.5 percent each, and Midland, TX, 1.7 

percent. El Centro, CA, and Yuma, AZ, had the highest unemployment rates, 16.2 percent and 

14.3 percent, respectively. A total of 204 areas had April jobless rates below the U.S. rate of 3.3 

percent, 167 areas had rates above it, and 18 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 April (-2.8 

percentage points). An additional 36 areas had rate declines of at least 1.0 percentage point. The 

largest over-the-year rate increase occurred in Kokomo, IN (+3.4 percentage points). 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, NashvilleDavidson—Murfreesboro—Franklin, TN, had the lowest unemployment rate in April, 2.1 

percent. Detroit-Warren-Dearborn, MI, had the highest jobless rate among the large areas, 3.9 
-2- 

percent. Forty-five large areas had over-the-year unemployment rate decreases, 4 had increases, 

and 2 had no change. The largest rate decline occurred in Las Vegas-Henderson-Paradise, NV 

(-1.1 percentage points). No large area had an unemployment rate increase of more than 0.4 

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 April, San Francisco-Redwood 

City-South San Francisco, CA, had the lowest unemployment rate among the divisions, 2.0 

percent. Takoma-Lakewood, WA, had the highest division rate, 5.5 percent. (See table 2.) 

In April, 31 metropolitan divisions had over-the-year unemployment rate decreases, 6 had 

increases, and 1 had no change. The largest rate declines occurred in Camden, NJ, and Newark, 

NJ-PA (-1.0 percentage point each). The largest over-the-year jobless rate increase occurred in 

Elgin, IL (+0.5 percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In April, 46 metropolitan areas had over-the-year increases in nonfarm payroll employment and 

343 were essentially unchanged. The largest over-the-year employment increases occurred in

New York-Newark-Jersey City, NY-NJ-PA (+139,600), Dallas-Fort Worth-Arlington, TX

(+115,600), and Houston-The Woodlands-Sugar Land, TX (+86,200). The largest over-the-year 

percentage gains in employment occurred in Ocean City, NJ (+8.5 percent), Reno, NV (+5.6 

percent), and Gainesville, GA (+5.2 percent). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 27 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 24 areas. The 

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

occurred in Orlando-Kissimmee-Sanford, FL (+3.5 percent), Dallas-Fort Worth-Arlington, TX, 

and Phoenix-Mesa-Scottsdale, AZ (+3.2 percent each), and Houston-The Woodlands-Sugar 

Land, TX; Nashville-Davidson—Murfreesboro—Franklin, TN; and Seattle-Tacoma-Bellevue, 

WA (+2.8 percent each).

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)

In April, nonfarm payroll employment increased in 13 of the 38 metropolitan divisions over the 

year and was essentially unchanged in 25 divisions. The largest over-the-year increase in 

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

NY-NJ (+120,600), followed by Dallas-Plano-Irving, TX (+94,900), and Chicago-NapervilleArlington Heights, IL (+58,300). (See table 4.)

The largest over-the-year percentage increases in employment occurred in Dallas-Plano-Irving, 

TX, and San Francisco-Redwood City-South San Francisco, CA (+3.7 percent each), followed 

by Seattle-Bellevue-Everett, WA (+2.9 percent), and West Palm Beach-Boca Raton-Delray 

Beach, FL (+2.8 percent).
-3- 

_____________

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

released on Friday, June 21, 2019, at 10:00 a.m. (EDT). The Metropolitan Area 

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

Wednesday, July 3, 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

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,199,359 2,235,701 2,195,860 2,247,355 88,824 83,865 75,763 75,476 4.0 3.8 3.5 3.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . 46,336 46,263 45,986 46,401 2,196 2,020 1,914 1,843 4.7 4.4 4.2 4.0

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 74,352 76,441 74,363 76,829 2,848 2,715 2,319 2,248 3.8 3.6 3.1 2.9

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 544,191 554,881 542,986 556,951 19,718 18,818 16,986 16,810 3.6 3.4 3.1 3.0

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 93,649 95,982 94,015 97,087 3,524 3,355 2,926 3,012 3.8 3.5 3.1 3.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,799 71,836 69,748 72,138 2,703 2,425 2,298 2,169 3.9 3.4 3.3 3.0

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,717 63,597 62,680 63,854 2,583 2,469 2,234 2,214 4.1 3.9 3.6 3.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,475 65,790 65,369 66,157 2,857 2,708 2,486 2,486 4.4 4.1 3.8 3.8

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,389 44,027 42,951 44,186 1,835 1,797 1,564 1,596 4.2 4.1 3.6 3.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 221,872 226,625 222,136 227,516 7,929 7,409 6,740 6,585 3.6 3.3 3.0 2.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,568 189,731 187,444 191,192 9,131 8,591 7,891 7,992 4.9 4.5 4.2 4.2

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,523 174,421 172,608 175,719 6,890 6,422 5,919 5,850 4.0 3.7 3.4 3.3

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 115,007 118,404 114,731 118,761 4,441 4,144 3,708 3,637 3.9 3.5 3.2 3.1

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,154 350,049 352,637 346,993 25,937 25,221 24,373 22,264 7.3 7.2 6.9 6.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 199,336 196,463 198,772 195,540 13,185 12,464 12,482 10,989 6.6 6.3 6.3 5.6

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,821 44,866 45,755 44,528 2,918 2,893 2,866 2,591 6.4 6.4 6.3 5.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,410,192 3,507,158 3,399,739 3,485,577 158,452 159,901 152,324 148,595 4.6 4.6 4.5 4.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,840 76,726 76,217 76,510 4,188 4,361 3,764 3,656 5.5 5.7 4.9 4.8

Lake Havasu City-Kingman. . . . . . . . . . . . 84,262 86,297 84,555 86,672 4,798 4,879 4,557 4,553 5.7 5.7 5.4 5.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,386,454 2,461,718 2,380,015 2,451,610 98,300 100,282 93,238 91,755 4.1 4.1 3.9 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,534 106,350 104,903 105,621 4,553 4,632 4,332 4,358 4.4 4.4 4.1 4.1

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,612 50,388 49,328 49,421 2,765 2,861 2,615 2,683 5.6 5.7 5.3 5.4

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484,504 494,834 483,773 491,584 21,133 21,602 20,141 19,885 4.4 4.4 4.2 4.0

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,093 98,603 92,642 94,604 12,973 11,973 14,862 13,539 13.6 12.1 16.0 14.3

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,348,676 1,357,713 1,349,698 1,359,450 51,025 46,681 45,257 39,179 3.8 3.4 3.4 2.9

Fayetteville-Springdale-Rogers. . . . . . . . . 274,666 279,019 275,462 279,104 7,630 6,843 6,897 5,695 2.8 2.5 2.5 2.0

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 119,860 118,191 120,290 118,592 4,813 4,101 4,395 3,433 4.0 3.5 3.7 2.9

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 41,123 41,314 41,230 41,627 1,692 1,481 1,459 1,206 4.1 3.6 3.5 2.9

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,100 64,538 63,951 64,834 2,073 1,807 1,825 1,502 3.2 2.8 2.9 2.3

Little Rock-North Little Rock-Conway. . . . 353,085 356,584 353,718 356,049 12,335 11,069 11,104 9,350 3.5 3.1 3.1 2.6

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,362 35,277 35,249 35,173 1,815 1,761 1,594 1,515 5.1 5.0 4.5 4.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,328,608 19,511,569 19,271,108 19,241,327 859,783 900,522 775,890 741,851 4.4 4.6 4.0 3.9

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 377,314 388,233 383,510 385,470 37,740 38,927 32,868 32,241 10.0 10.0 8.6 8.4

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,802 104,297 102,804 102,742 5,617 6,480 4,990 5,118 5.5 6.2 4.9 5.0

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,203 70,134 68,873 67,381 11,530 12,361 10,676 10,907 16.4 17.6 15.5 16.2

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447,145 460,371 445,860 454,332 40,613 42,789 35,274 34,817 9.1 9.3 7.9 7.7

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,582 58,783 57,811 57,840 5,514 6,070 4,799 4,815 9.6 10.3 8.3 8.3

Los Angeles-Long Beach-Anaheim. . . . . 6,758,321 6,751,777 6,729,185 6,661,500 278,128 280,001 262,078 244,597 4.1 4.1 3.9 3.7

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,584 62,651 60,212 60,479 5,221 5,578 4,653 4,577 8.5 8.9 7.7 7.6

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,385 117,655 115,462 115,014 12,362 12,813 10,554 10,316 10.6 10.9 9.1 9.0

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,286 244,072 243,228 239,903 17,940 18,198 15,936 15,262 7.4 7.5 6.6 6.4

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,810 74,448 74,146 74,041 2,382 2,575 2,137 1,997 3.2 3.5 2.9 2.7

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,571 428,766 426,909 424,996 16,259 17,250 14,543 13,580 3.8 4.0 3.4 3.2

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,095 73,943 73,486 72,962 4,375 4,548 3,738 3,578 5.9 6.2 5.1 4.9

Riverside-San Bernardino-Ontario. . . . . . 2,048,836 2,068,458 2,035,553 2,033,067 87,812 92,647 79,645 75,182 4.3 4.5 3.9 3.7

Sacramento--Roseville--Arden-Arcade. . . 1,087,676 1,112,862 1,084,364 1,094,396 43,491 47,244 38,645 37,855 4.0 4.2 3.6 3.5

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,515 221,845 227,351 228,553 20,856 22,507 15,673 15,997 9.6 10.1 6.9 7.0

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,587,029 1,600,342 1,579,671 1,574,767 53,335 58,210 48,507 46,648 3.4 3.6 3.1 3.0

San Francisco-Oakland-Hayward. . . . . . . 2,570,413 2,619,686 2,558,098 2,579,607 72,265 77,758 65,367 61,936 2.8 3.0 2.6 2.4

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,072,857 1,094,177 1,068,765 1,078,765 30,357 32,406 27,383 25,676 2.8 3.0 2.6 2.4

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,225 142,121 141,229 140,913 4,321 4,674 3,908 3,716 3.1 3.3 2.8 2.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 141,908 143,559 141,955 142,118 9,348 9,895 8,051 7,834 6.6 6.9 5.7 5.5

Santa Maria-Santa Barbara. . . . . . . . . . . . 215,610 220,387 216,471 217,465 9,975 10,716 8,093 7,556 4.6 4.9 3.7 3.5

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 260,419 261,323 260,614 259,202 7,676 8,418 6,935 6,614 2.9 3.2 2.7 2.6

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 324,999 327,246 323,478 321,899 22,484 23,661 19,677 19,324 6.9 7.2 6.1 6.0

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,932 209,283 208,872 206,875 8,791 9,467 7,851 7,580 4.2 4.5 3.8 3.7

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 202,208 208,841 205,665 208,425 23,655 25,243 20,235 20,481 11.7 12.1 9.8 9.8

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,158 75,693 73,791 74,364 6,688 7,122 5,645 5,702 9.0 9.4 7.6 7.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,056,824 3,123,249 3,060,983 3,119,568 94,901 93,926 88,754 85,699 3.1 3.0 2.9 2.7

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192,324 198,421 192,725 197,277 5,132 4,945 4,874 4,631 2.7 2.5 2.5 2.3

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 345,397 353,732 345,484 352,082 12,728 12,604 11,963 11,489 3.7 3.6 3.5 3.3

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,626,544 1,657,840 1,630,067 1,650,975 48,214 47,932 45,463 44,106 3.0 2.9 2.8 2.7

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 198,473 205,261 200,487 206,516 5,296 5,302 4,921 4,836 2.7 2.6 2.5 2.3

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 75,227 77,131 75,456 77,364 3,153 2,903 2,765 2,539 4.2 3.8 3.7 3.3

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,962 166,642 163,365 167,902 4,677 4,613 4,328 4,219 2.9 2.8 2.6 2.5

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,783 75,814 75,444 75,845 3,514 3,393 3,285 3,104 4.6 4.5 4.4 4.1

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,887,096 1,904,314 1,883,037 1,888,171 88,048 79,422 77,951 61,738 4.7 4.2 4.1 3.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 461,297 463,732 460,640 461,287 21,117 19,152 19,173 14,712 4.6 4.1 4.2 3.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,408 106,426 105,082 105,373 4,162 3,898 3,570 2,807 3.9 3.7 3.4 2.7

Hartford-West Hartford-East Hartford. . . . 621,585 628,618 619,082 621,254 29,056 26,123 26,135 21,025 4.7 4.2 4.2 3.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 322,858 326,124 323,592 324,377 14,626 13,040 12,681 10,096 4.5 4.0 3.9 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

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 140,924 141,737 140,512 140,292 6,516 5,773 5,614 4,416 4.6 4.1 4.0 3.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,612 112,653 110,722 110,981 6,596 5,882 5,621 4,506 5.9 5.2 5.1 4.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481,405 488,474 481,894 489,417 19,505 15,850 18,052 14,849 4.1 3.2 3.7 3.0

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,786 79,516 78,342 79,504 3,481 2,760 3,208 2,570 4.4 3.5 4.1 3.2

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 186,278 189,620 187,267 189,781 10,629 9,499 9,201 8,374 5.7 5.0 4.9 4.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . 406,065 410,240 405,784 412,711 23,191 22,797 20,934 20,964 5.7 5.6 5.2 5.1

Washington-Arlington-Alexandria. . . . . . . 3,393,699 3,422,907 3,384,044 3,414,123 117,932 113,236 103,837 97,483 3.5 3.3 3.1 2.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,202,284 10,313,367 10,189,508 10,266,145 373,111 338,212 349,665 300,642 3.7 3.3 3.4 2.9

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 345,524 351,902 342,302 348,504 11,602 11,029 10,943 9,837 3.4 3.1 3.2 2.8

Crestview-Fort Walton Beach-Destin. . . . 126,401 127,729 126,637 127,240 3,869 3,582 3,619 3,158 3.1 2.8 2.9 2.5

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,559 301,984 298,912 300,127 11,640 10,703 10,814 9,540 3.9 3.5 3.6 3.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,623 144,445 145,185 144,734 4,835 4,415 4,567 3,871 3.3 3.1 3.1 2.7

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,857 48,061 47,689 47,694 2,493 2,339 2,308 2,073 5.2 4.9 4.8 4.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 769,616 767,988 765,968 765,157 26,480 24,489 24,878 21,621 3.4 3.2 3.2 2.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 295,794 300,538 296,424 298,038 12,229 11,105 11,459 9,876 4.1 3.7 3.9 3.3

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,135,419 3,183,058 3,147,500 3,184,458 120,051 103,972 112,487 92,809 3.8 3.3 3.6 2.9

Naples-Immokalee-Marco Island. . . . . . . . 181,126 182,106 179,632 180,562 5,890 5,366 5,481 4,766 3.3 2.9 3.1 2.6

North Port-Sarasota-Bradenton. . . . . . . . . 368,561 366,680 365,909 365,250 12,320 11,599 11,614 10,326 3.3 3.2 3.2 2.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,102 136,687 135,295 136,165 5,916 5,384 5,578 4,797 4.4 3.9 4.1 3.5

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,325,772 1,352,954 1,322,754 1,344,025 44,407 40,750 41,744 36,280 3.3 3.0 3.2 2.7

Palm Bay-Melbourne-Titusville. . . . . . . . . 274,815 280,197 273,184 277,968 10,013 9,236 9,375 8,278 3.6 3.3 3.4 3.0

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,298 92,890 94,985 92,345 3,431 4,057 3,157 3,395 3.6 4.4 3.3 3.7

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 223,619 225,015 224,350 225,512 7,959 7,225 7,434 6,368 3.6 3.2 3.3 2.8

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 216,588 219,425 215,631 218,729 8,941 8,021 8,357 7,175 4.1 3.7 3.9 3.3

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 71,926 72,704 70,851 71,850 2,811 2,696 2,660 2,399 3.9 3.7 3.8 3.3

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 65,353 66,479 64,870 65,498 2,756 2,477 2,579 2,230 4.2 3.7 4.0 3.4

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,657 36,946 37,206 36,292 1,746 1,633 1,601 1,452 4.6 4.4 4.3 4.0

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 192,859 196,048 193,448 194,681 6,746 6,155 6,358 5,454 3.5 3.1 3.3 2.8

Tampa-St. Petersburg-Clearwater. . . . . . 1,524,962 1,534,288 1,518,408 1,518,558 54,100 50,096 50,705 44,443 3.5 3.3 3.3 2.9

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 31,336 31,745 31,052 31,505 1,622 1,568 1,517 1,393 5.2 4.9 4.9 4.4

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,121,497 5,110,809 5,095,818 5,064,366 207,451 188,277 189,471 158,978 4.1 3.7 3.7 3.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,773 67,261 67,013 66,327 3,153 2,925 2,924 2,470 4.7 4.3 4.4 3.7

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,047 101,202 101,313 100,065 3,826 3,575 3,522 2,926 3.7 3.5 3.5 2.9

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,079,660 3,075,899 3,064,608 3,042,371 120,593 109,338 110,755 92,002 3.9 3.6 3.6 3.0

Augusta-Richmond County. . . . . . . . . . . . . 269,574 270,442 272,203 273,282 11,360 10,540 9,884 9,119 4.2 3.9 3.6 3.3

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,684 53,522 54,048 53,540 2,145 1,945 1,890 1,628 4.0 3.6 3.5 3.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 126,245 124,397 125,168 123,367 5,976 5,405 5,455 4,669 4.7 4.3 4.4 3.8

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,088 61,687 60,743 61,096 3,207 2,817 2,677 2,458 5.2 4.6 4.4 4.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 101,902 103,438 100,854 102,962 3,300 3,105 2,974 2,614 3.2 3.0 2.9 2.5

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,208 33,964 33,720 33,677 1,530 1,315 1,376 1,113 4.5 3.9 4.1 3.3

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,535 104,345 104,830 103,055 4,656 4,197 4,257 3,525 4.4 4.0 4.1 3.4

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,643 44,487 44,302 44,175 1,868 1,740 1,709 1,428 4.2 3.9 3.9 3.2

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 191,648 187,964 188,623 186,545 7,023 6,578 6,402 5,450 3.7 3.5 3.4 2.9

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,755 65,112 64,171 64,234 2,624 2,424 2,414 1,999 4.1 3.7 3.8 3.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 86,394 86,356 86,285 86,051 3,524 3,201 3,217 2,735 4.1 3.7 3.7 3.2

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681,464 668,996 680,601 665,534 15,063 19,192 14,689 18,734 2.2 2.9 2.2 2.8

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 86,284 84,674 85,939 84,650 1,889 2,430 1,884 2,354 2.2 2.9 2.2 2.8

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 468,027 460,707 466,780 457,290 10,063 12,420 9,814 12,044 2.2 2.7 2.1 2.6

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848,084 867,630 849,330 869,139 30,213 29,620 25,634 23,724 3.6 3.4 3.0 2.7

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 358,938 369,759 358,046 369,351 11,406 10,906 9,787 9,021 3.2 2.9 2.7 2.4

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 76,739 78,525 76,900 78,545 3,569 3,761 2,817 2,632 4.7 4.8 3.7 3.4

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,076 71,228 69,295 71,655 2,115 1,909 1,764 1,474 3.1 2.7 2.5 2.1

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,275 31,368 31,173 31,251 1,191 1,285 1,028 1,045 3.8 4.1 3.3 3.3

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,818 42,645 42,055 42,715 1,330 1,256 1,183 1,057 3.2 2.9 2.8 2.5

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,391 52,864 52,368 52,893 1,659 1,643 1,410 1,306 3.2 3.1 2.7 2.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,467,723 6,470,215 6,436,374 6,479,752 281,008 289,793 245,015 259,434 4.3 4.5 3.8 4.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,153 95,192 97,101 95,686 4,066 4,643 3,418 3,873 4.2 4.9 3.5 4.0

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,432 61,327 60,688 61,462 2,988 3,144 2,545 2,574 4.9 5.1 4.2 4.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 122,925 121,963 123,782 122,745 5,128 5,850 4,509 5,074 4.2 4.8 3.6 4.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,868,194 4,887,720 4,837,182 4,886,059 200,658 201,086 177,546 183,234 4.1 4.1 3.7 3.8

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,270 33,292 34,010 33,396 2,170 2,101 1,843 1,776 6.3 6.3 5.4 5.3

Davenport-Moline-Rock Island1. . . . . . . . . 191,324 194,034 191,307 194,499 8,549 9,489 7,218 7,648 4.5 4.9 3.8 3.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,850 49,647 49,781 49,802 2,795 3,116 2,416 2,722 5.6 6.3 4.9 5.5

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,696 55,935 55,698 55,797 3,256 3,652 2,693 2,934 5.8 6.5 4.8 5.3

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,907 180,353 178,900 180,848 9,748 10,695 8,168 8,746 5.4 5.9 4.6 4.8

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,420 167,880 166,049 168,160 9,156 11,088 7,718 9,051 5.5 6.6 4.6 5.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,504 110,649 111,322 111,478 4,830 5,601 4,003 4,639 4.3 5.1 3.6 4.2

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,365,497 3,418,659 3,378,799 3,406,916 118,892 134,395 104,620 103,976 3.5 3.9 3.1 3.1

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 80,065 80,754 80,694 80,786 2,922 3,147 2,529 2,340 3.6 3.9 3.1 2.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,897 46,392 45,115 46,099 1,210 1,339 1,049 979 2.7 2.9 2.3 2.1

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

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Indiana - Continued

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 115,873 117,483 116,332 117,259 2,758 3,740 2,459 3,023 2.4 3.2 2.1 2.6

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,264 166,651 163,649 165,273 5,282 5,782 4,754 4,561 3.2 3.5 2.9 2.8

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 214,721 219,421 215,882 219,573 6,777 7,529 6,027 5,779 3.2 3.4 2.8 2.6

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,054,890 1,072,502 1,057,547 1,067,284 34,670 37,286 31,266 29,466 3.3 3.5 3.0 2.8

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,102 38,232 37,538 39,502 1,364 1,663 1,267 2,686 3.7 4.3 3.4 6.8

Lafayette-West Lafayette. . . . . . . . . . . . . . 112,288 111,997 114,247 112,658 3,637 3,797 3,208 2,881 3.2 3.4 2.8 2.6

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,879 48,047 48,100 47,611 2,358 2,731 1,978 1,937 4.9 5.7 4.1 4.1

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,467 55,062 54,838 54,855 2,256 2,428 1,954 1,871 4.1 4.4 3.6 3.4

South Bend-Mishawaka. . . . . . . . . . . . . . . 161,256 163,718 162,155 163,616 6,099 6,769 5,265 5,298 3.8 4.1 3.2 3.2

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,211 78,003 77,463 77,569 3,457 3,989 2,965 3,035 4.5 5.1 3.8 3.9

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677,530 1,714,665 1,682,952 1,715,701 50,720 47,543 42,946 36,516 3.0 2.8 2.6 2.1

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,525 60,391 59,015 60,614 994 892 895 772 1.7 1.5 1.5 1.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,643 144,769 143,646 145,468 4,715 4,217 4,022 3,239 3.3 2.9 2.8 2.2

Des Moines-West Des Moines. . . . . . . . . 350,939 362,685 352,857 365,255 10,107 10,038 8,290 7,855 2.9 2.8 2.3 2.2

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,184 56,746 55,177 56,751 1,675 1,582 1,367 1,133 3.0 2.8 2.5 2.0

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,345 98,597 98,530 98,805 2,117 1,842 1,909 1,529 2.2 1.9 1.9 1.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,828 93,930 90,745 94,089 2,807 2,669 2,345 2,073 3.1 2.8 2.6 2.2

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,537 91,175 89,843 91,315 2,834 2,492 2,406 2,080 3.2 2.7 2.7 2.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473,071 1,472,488 1,473,239 1,466,206 51,611 53,815 46,233 44,919 3.5 3.7 3.1 3.1

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,981 65,830 66,380 66,068 2,091 2,141 1,906 1,808 3.2 3.3 2.9 2.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,433 48,381 49,021 48,631 1,388 1,511 1,284 1,279 2.9 3.1 2.6 2.6

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,383 120,632 119,725 119,694 4,182 4,744 3,762 3,668 3.5 3.9 3.1 3.1

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,363 310,401 308,911 309,960 11,966 12,031 10,749 10,278 3.9 3.9 3.5 3.3

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,068,027 2,078,153 2,066,323 2,068,545 97,165 93,117 83,845 79,721 4.7 4.5 4.1 3.9

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,883 84,996 84,141 84,860 3,501 3,548 2,958 2,912 4.2 4.2 3.5 3.4

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 67,617 68,233 67,567 67,994 3,033 3,002 2,607 2,547 4.5 4.4 3.9 3.7

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 270,803 272,330 272,321 274,419 10,031 9,830 8,757 8,318 3.7 3.6 3.2 3.0

Louisville/Jefferson County. . . . . . . . . . . . . 671,165 678,055 670,631 673,632 26,690 27,173 23,606 23,812 4.0 4.0 3.5 3.5

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,496 56,193 56,742 56,100 2,536 2,296 2,176 1,957 4.5 4.1 3.8 3.5

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,104,316 2,090,703 2,106,197 2,088,589 96,908 80,404 94,368 72,754 4.6 3.8 4.5 3.5

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,651 62,547 63,600 62,458 3,221 2,621 3,069 2,330 5.1 4.2 4.8 3.7

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 421,271 417,275 419,733 415,987 16,980 14,318 16,601 12,994 4.0 3.4 4.0 3.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,124 53,943 54,231 53,922 2,739 2,334 2,699 2,097 5.1 4.3 5.0 3.9

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 88,442 85,656 88,691 85,037 4,128 3,252 4,055 2,928 4.7 3.8 4.6 3.4

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,230 211,762 212,771 211,372 10,247 8,033 9,805 7,287 4.8 3.8 4.6 3.4

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 114,408 113,365 113,913 113,584 4,081 3,491 4,023 3,171 3.6 3.1 3.5 2.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,697 79,223 79,574 78,551 3,974 3,500 3,832 3,151 5.0 4.4 4.8 4.0

New Orleans-Metairie. . . . . . . . . . . . . . . . . 591,946 594,591 595,069 597,657 25,609 21,219 25,215 19,348 4.3 3.6 4.2 3.2

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,519 184,297 187,986 183,678 9,230 7,605 8,938 6,962 4.9 4.1 4.8 3.8

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 691,740 687,474 693,112 686,235 27,137 26,282 24,502 23,813 3.9 3.8 3.5 3.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,788 70,744 71,603 71,220 2,763 2,668 2,480 2,421 3.9 3.8 3.5 3.4

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,645 55,791 55,922 55,990 2,033 2,044 1,824 1,811 3.7 3.7 3.3 3.2

Portland-South Portland. . . . . . . . . . . . . . . 205,499 205,114 206,854 205,256 6,358 6,234 5,763 5,609 3.1 3.0 2.8 2.7

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,191,821 3,206,056 3,179,675 3,195,219 132,160 124,008 117,152 107,642 4.1 3.9 3.7 3.4

Baltimore-Columbia-Towson. . . . . . . . . . . 1,487,533 1,501,570 1,484,293 1,499,499 62,171 58,076 55,658 51,069 4.2 3.9 3.7 3.4

California-Lexington Park. . . . . . . . . . . . . . 55,375 55,652 55,130 55,136 2,218 2,042 1,917 1,646 4.0 3.7 3.5 3.0

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,433 44,541 44,182 44,531 2,718 2,417 2,432 1,985 6.1 5.4 5.5 4.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,484 131,699 130,697 131,916 6,180 5,519 5,518 4,481 4.7 4.2 4.2 3.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,775,360 3,833,122 3,777,446 3,813,819 141,652 119,552 123,249 99,503 3.8 3.1 3.3 2.6

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 119,737 121,901 122,485 123,581 6,897 5,977 5,150 4,367 5.8 4.9 4.2 3.5

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,796,606 2,839,936 2,796,245 2,825,221 92,321 78,108 81,822 66,586 3.3 2.8 2.9 2.4

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 80,983 83,119 81,153 82,529 3,580 3,094 3,119 2,561 4.4 3.7 3.8 3.1

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,979 87,224 85,472 86,528 5,319 4,243 4,297 3,289 6.2 4.9 5.0 3.8

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,112 43,206 42,656 42,568 2,194 1,819 1,899 1,519 5.1 4.2 4.5 3.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 378,214 387,096 379,252 386,627 17,254 14,754 15,175 12,296 4.6 3.8 4.0 3.2

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 362,974 364,406 361,222 360,626 14,463 12,635 12,766 10,433 4.0 3.5 3.5 2.9

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,899,905 4,950,462 4,865,880 4,928,273 222,478 219,358 180,285 183,646 4.5 4.4 3.7 3.7

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 196,755 197,632 195,976 198,227 5,674 5,982 5,062 5,014 2.9 3.0 2.6 2.5

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,164 63,424 62,867 63,271 2,974 2,812 2,519 2,343 4.7 4.4 4.0 3.7

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,537 50,204 50,256 50,279 2,933 2,679 2,391 2,150 5.8 5.3 4.8 4.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,123,735 2,155,752 2,100,974 2,133,913 93,515 95,799 73,832 83,850 4.4 4.4 3.5 3.9

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,495 184,053 181,205 184,562 9,986 9,542 8,275 7,920 5.5 5.2 4.6 4.3

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 580,773 587,849 580,359 587,687 18,943 18,699 15,835 14,899 3.3 3.2 2.7 2.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,965 75,201 74,703 75,631 3,207 3,096 2,690 2,507 4.3 4.1 3.6 3.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 169,148 170,930 168,749 171,041 7,028 6,662 5,711 5,255 4.2 3.9 3.4 3.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . 251,304 250,792 251,472 252,515 9,238 9,019 8,056 7,350 3.7 3.6 3.2 2.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,754 40,438 40,895 40,614 1,955 1,754 1,601 1,392 4.8 4.3 3.9 3.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,757 76,563 75,435 76,767 3,047 3,143 2,576 2,724 4.0 4.1 3.4 3.5

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,855 78,338 77,850 78,542 3,997 3,575 3,326 2,904 5.1 4.6 4.3 3.7

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 73,472 73,272 73,090 73,975 3,602 3,309 2,910 2,628 4.9 4.5 4.0 3.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,257 87,416 86,388 87,010 4,778 4,592 3,923 3,718 5.5 5.3 4.5 4.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,056,957 3,089,665 3,060,343 3,086,223 111,160 127,457 92,774 98,830 3.6 4.1 3.0 3.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,937 144,208 144,107 144,193 6,801 7,120 5,875 5,829 4.7 4.9 4.1 4.0

Mankato-North Mankato. . . . . . . . . . . . . . . 61,357 61,854 61,405 62,140 1,798 2,081 1,479 1,617 2.9 3.4 2.4 2.6

Minneapolis-St. Paul-Bloomington. . . . . . 1,989,780 2,011,727 1,993,534 2,004,340 62,764 72,251 53,331 56,608 3.2 3.6 2.7 2.8

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,916 125,236 122,809 124,983 3,943 4,568 3,215 3,410 3.2 3.6 2.6 2.7

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,653 114,053 111,784 114,309 4,491 5,114 3,647 3,815 4.0 4.5 3.3 3.3

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,276,084 1,260,142 1,275,083 1,265,933 59,249 60,860 55,168 58,812 4.6 4.8 4.3 4.6

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,347 162,448 164,608 161,966 7,908 7,985 7,363 7,726 4.8 4.9 4.5 4.8

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,430 69,190 68,154 69,542 2,772 2,923 2,651 2,850 4.1 4.2 3.9 4.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270,110 267,226 269,699 268,838 10,998 11,446 10,277 11,212 4.1 4.3 3.8 4.2

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,055,283 3,041,341 3,058,829 3,037,557 113,538 117,837 90,686 88,564 3.7 3.9 3.0 2.9

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,609 47,780 47,758 47,618 1,710 1,701 1,375 1,309 3.6 3.6 2.9 2.7

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,048 97,158 98,265 96,937 2,472 2,718 2,007 2,013 2.5 2.8 2.0 2.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 73,953 72,452 73,860 72,367 2,268 2,359 1,814 1,690 3.1 3.3 2.5 2.3

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,253 84,387 84,143 83,480 2,652 2,934 2,218 2,241 3.1 3.5 2.6 2.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,126,493 1,126,079 1,129,888 1,127,955 41,219 42,798 34,916 33,721 3.7 3.8 3.1 3.0

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,618 62,973 63,470 63,163 2,247 2,368 1,763 1,818 3.5 3.8 2.8 2.9

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,456,706 1,456,317 1,455,660 1,457,266 55,409 58,107 45,187 45,968 3.8 4.0 3.1 3.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 229,973 233,270 230,845 231,220 7,363 7,583 5,732 5,669 3.2 3.3 2.5 2.5

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 523,623 526,999 524,335 526,638 23,092 21,890 18,878 16,910 4.4 4.2 3.6 3.2

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,948 87,274 88,031 87,498 3,349 3,264 2,666 2,461 3.9 3.7 3.0 2.8

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,854 38,334 37,868 38,233 1,594 1,522 1,231 1,125 4.2 4.0 3.3 2.9

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,064 64,026 63,261 64,193 2,519 2,444 1,934 1,855 4.0 3.8 3.1 2.9

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014,563 1,031,710 1,018,547 1,035,241 30,993 33,498 28,192 30,373 3.1 3.2 2.8 2.9

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,638 44,035 43,610 43,964 1,381 1,503 1,271 1,306 3.2 3.4 2.9 3.0

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,917 183,476 182,102 183,979 4,871 5,370 4,572 4,965 2.7 2.9 2.5 2.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 482,495 492,754 483,980 495,155 15,350 16,282 13,834 14,403 3.2 3.3 2.9 2.9

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,485,939 1,516,791 1,486,528 1,519,312 70,413 55,819 67,491 54,355 4.7 3.7 4.5 3.6

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,548 26,117 25,636 26,180 1,406 1,062 1,283 938 5.5 4.1 5.0 3.6

Las Vegas-Henderson-Paradise. . . . . . . . 1,086,932 1,105,946 1,088,323 1,108,373 53,483 41,736 51,894 41,368 4.9 3.8 4.8 3.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246,700 260,083 248,844 261,131 9,821 8,197 9,059 7,533 4.0 3.2 3.6 2.9

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 759,912 766,652 754,612 763,997 23,363 21,794 19,665 18,911 3.1 2.8 2.6 2.5

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 85,421 85,954 85,163 85,879 2,448 2,303 2,010 1,971 2.9 2.7 2.4 2.3

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 120,105 122,165 119,563 121,738 3,442 3,217 2,927 2,795 2.9 2.6 2.4 2.3

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 75,748 76,276 76,072 76,787 2,153 1,975 1,834 1,760 2.8 2.6 2.4 2.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,413,614 4,450,721 4,398,322 4,401,385 202,742 182,249 174,898 129,476 4.6 4.1 4.0 2.9

Atlantic City-Hammonton. . . . . . . . . . . . . . 115,541 120,635 115,681 118,965 8,288 7,233 6,922 5,120 7.2 6.0 6.0 4.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 40,768 41,960 41,632 43,483 5,442 4,800 4,224 3,170 13.3 11.4 10.1 7.3

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194,433 199,431 196,336 199,181 7,759 7,012 6,667 5,025 4.0 3.5 3.4 2.5

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 64,629 64,642 64,793 64,918 4,959 4,266 4,166 2,985 7.7 6.6 6.4 4.6

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 932,495 950,027 931,907 950,986 44,916 43,670 41,284 41,167 4.8 4.6 4.4 4.3

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 427,054 434,734 427,050 435,071 19,002 18,392 17,585 17,471 4.4 4.2 4.1 4.0

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 52,634 52,620 52,294 52,816 2,894 2,770 2,656 2,521 5.5 5.3 5.1 4.8

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 96,544 98,033 96,384 98,159 5,674 5,609 5,170 5,199 5.9 5.7 5.4 5.3

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,344 73,797 72,676 73,994 2,896 2,734 2,702 2,668 4.0 3.7 3.7 3.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554,320 9,591,302 9,514,505 9,543,460 436,236 393,420 383,604 340,281 4.6 4.1 4.0 3.6

Albany-Schenectady-Troy. . . . . . . . . . . . . . 446,771 453,963 446,424 450,723 19,335 16,869 16,952 14,443 4.3 3.7 3.8 3.2

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,107 107,440 106,982 106,733 6,099 5,207 5,195 4,314 5.7 4.8 4.9 4.0

Buffalo-Cheektowaga-Niagara Falls. . . . . 539,279 541,657 535,592 539,922 29,092 24,160 25,054 20,505 5.4 4.5 4.7 3.8

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,314 35,243 35,055 34,917 1,924 1,500 1,665 1,318 5.4 4.3 4.7 3.8

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 58,167 59,004 57,847 58,344 3,384 2,989 2,774 2,466 5.8 5.1 4.8 4.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,459 51,552 51,019 51,866 1,956 1,758 1,812 1,567 3.9 3.4 3.6 3.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,657 89,211 87,768 89,162 3,864 3,335 3,338 2,824 4.4 3.7 3.8 3.2

New York-Newark-Jersey City. . . . . . . . . . 9,933,424 9,972,887 9,892,429 9,892,735 428,187 392,811 377,538 322,307 4.3 3.9 3.8 3.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 519,908 522,173 518,842 521,950 25,488 21,853 22,386 18,920 4.9 4.2 4.3 3.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,758 309,112 303,108 309,224 15,502 13,516 13,354 11,424 5.1 4.4 4.4 3.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,121 128,928 128,559 128,442 6,991 6,036 6,054 5,089 5.4 4.7 4.7 4.0

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,132 43,850 43,763 43,479 3,263 2,745 2,659 2,302 7.4 6.3 6.1 5.3

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,987,008 5,065,791 4,975,010 5,064,845 201,085 206,458 180,237 179,910 4.0 4.1 3.6 3.6

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,815 239,195 232,441 240,922 7,587 8,041 6,685 6,843 3.3 3.4 2.9 2.8

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,065 81,727 80,391 81,237 3,017 3,213 2,713 2,799 3.7 3.9 3.4 3.4

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,329,109 1,366,225 1,324,448 1,364,618 50,285 51,155 44,688 45,169 3.8 3.7 3.4 3.3

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 299,165 303,930 298,955 303,724 10,591 11,102 9,493 9,639 3.5 3.7 3.2 3.2

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,884 150,908 148,122 150,731 7,599 7,884 6,893 6,919 5.1 5.2 4.7 4.6

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,187 53,114 52,778 53,131 2,370 2,339 2,139 2,060 4.5 4.4 4.1 3.9

Greensboro-High Point. . . . . . . . . . . . . . . . 369,754 371,523 367,738 371,974 15,543 15,753 13,982 13,734 4.2 4.2 3.8 3.7

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,694 91,375 90,433 90,434 3,820 3,930 3,518 3,377 4.2 4.3 3.9 3.7

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,029 176,371 173,107 176,174 6,372 6,888 5,663 5,934 3.7 3.9 3.3 3.4

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 65,089 65,187 64,980 65,259 3,058 3,191 2,705 2,782 4.7 4.9 4.2 4.3

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,342 51,735 51,120 51,699 2,151 2,255 1,907 1,945 4.2 4.4 3.7 3.8

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710,826 723,623 709,808 723,183 25,152 26,228 22,523 22,767 3.5 3.6 3.2 3.1

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,720 65,168 64,678 64,877 3,792 3,468 3,635 3,201 5.8 5.3 5.6 4.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 148,715 151,619 149,514 152,407 5,621 5,907 5,003 5,104 3.8 3.9 3.3 3.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 327,018 334,022 326,113 331,584 12,556 12,818 11,190 11,110 3.8 3.8 3.4 3.4

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 402,467 403,356 403,296 403,573 13,573 12,074 11,728 10,151 3.4 3.0 2.9 2.5

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,809 67,966 67,489 67,885 2,538 2,326 2,156 1,798 3.7 3.4 3.2 2.6

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,189 137,323 137,065 137,391 4,354 4,180 3,725 3,400 3.2 3.0 2.7 2.5

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 55,486 54,916 55,235 54,635 1,851 1,800 1,593 1,540 3.3 3.3 2.9 2.8

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,739,578 5,809,996 5,738,955 5,793,216 269,295 241,000 244,928 192,283 4.7 4.1 4.3 3.3

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,793 361,675 356,463 357,639 17,708 15,658 15,776 12,107 4.9 4.3 4.4 3.4

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 199,998 200,975 199,035 199,694 10,920 9,489 9,777 7,286 5.5 4.7 4.9 3.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,108,321 1,132,826 1,108,437 1,130,062 44,495 40,628 40,596 32,783 4.0 3.6 3.7 2.9

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,025,785 1,035,755 1,039,978 1,044,152 53,346 45,864 49,424 39,540 5.2 4.4 4.8 3.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,071,327 1,093,671 1,070,393 1,086,915 40,952 37,119 38,145 29,864 3.8 3.4 3.6 2.7

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386,590 388,678 385,080 386,785 16,418 14,840 15,286 12,013 4.2 3.8 4.0 3.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,891 48,286 47,591 47,945 2,181 1,870 2,007 1,452 4.6 3.9 4.2 3.0

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,854 53,468 52,491 53,181 2,746 2,381 2,457 1,827 5.2 4.5 4.7 3.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,075 63,830 62,866 63,379 2,774 2,596 2,592 2,029 4.4 4.1 4.1 3.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,883 303,391 301,570 301,315 14,549 13,160 13,217 10,385 4.8 4.3 4.4 3.4

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 49,952 49,919 50,197 49,821 3,446 2,850 3,077 2,241 6.9 5.7 6.1 4.5

Youngstown-Warren-Boardman. . . . . . . . 242,014 240,431 241,199 237,919 14,463 14,200 12,682 11,324 6.0 5.9 5.3 4.8

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,847,864 1,824,859 1,839,219 1,816,659 68,196 59,106 60,882 49,873 3.7 3.2 3.3 2.7

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,499 26,821 27,207 26,553 922 834 817 679 3.4 3.1 3.0 2.6

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,615 50,950 51,393 50,534 2,075 1,835 1,907 1,504 4.0 3.6 3.7 3.0

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 681,044 677,129 680,572 676,883 23,273 20,518 20,728 17,391 3.4 3.0 3.0 2.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 482,539 475,081 478,594 472,555 18,177 15,530 16,306 13,212 3.8 3.3 3.4 2.8

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,092,084 2,113,625 2,089,666 2,106,225 94,516 97,225 83,001 83,058 4.5 4.6 4.0 3.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,425 58,943 58,387 58,974 2,978 3,031 2,631 2,681 5.1 5.1 4.5 4.5

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 94,101 96,393 94,434 95,837 4,538 5,090 3,815 3,869 4.8 5.3 4.0 4.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,796 48,968 48,734 49,047 1,584 1,698 1,322 1,410 3.2 3.5 2.7 2.9

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,545 182,362 181,891 182,329 8,754 8,970 7,738 7,824 4.8 4.9 4.3 4.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,539 36,166 35,646 36,087 2,230 2,233 1,907 1,888 6.3 6.2 5.3 5.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,183 105,440 104,202 105,282 5,593 5,732 4,847 4,956 5.4 5.4 4.7 4.7

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,307,443 1,328,577 1,302,206 1,321,473 54,323 55,519 48,793 49,475 4.2 4.2 3.7 3.7

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,954 201,866 199,027 200,940 9,278 9,662 8,208 8,464 4.7 4.8 4.1 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,376,939 6,452,006 6,378,250 6,420,621 288,596 250,935 252,656 204,638 4.5 3.9 4.0 3.2

Allentown-Bethlehem-Easton. . . . . . . . . . . 433,246 436,888 433,371 434,951 20,658 18,210 18,281 14,725 4.8 4.2 4.2 3.4

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,990 59,983 59,178 59,454 2,539 2,310 2,250 1,831 4.3 3.9 3.8 3.1

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,794 42,508 42,560 42,386 2,125 1,771 1,701 1,399 5.0 4.2 4.0 3.3

Chambersburg-Waynesboro. . . . . . . . . . . 75,941 77,999 75,461 77,498 2,988 2,599 2,563 2,125 3.9 3.3 3.4 2.7

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,427 82,218 80,960 81,271 4,715 3,983 4,089 3,348 5.8 4.8 5.1 4.1

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128,865 129,208 128,388 128,251 6,825 5,493 5,835 4,334 5.3 4.3 4.5 3.4

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,939 55,147 54,711 55,026 1,808 1,539 1,568 1,248 3.3 2.8 2.9 2.3

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 293,066 293,699 294,402 295,360 10,932 9,394 9,884 7,882 3.7 3.2 3.4 2.7

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 58,400 58,782 58,120 58,200 3,142 2,761 2,680 2,120 5.4 4.7 4.6 3.6

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 277,995 279,828 277,972 280,042 9,354 8,372 8,455 6,893 3.4 3.0 3.0 2.5

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,370 71,149 70,404 71,208 2,682 2,400 2,405 1,963 3.8 3.4 3.4 2.8

Philadelphia-Camden-Wilmington. . . . . . . 3,067,552 3,116,023 3,068,374 3,099,737 133,934 116,279 120,347 96,496 4.4 3.7 3.9 3.1

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,196,991 1,209,097 1,196,798 1,201,239 54,886 47,405 46,985 37,743 4.6 3.9 3.9 3.1

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,920 213,340 210,446 212,283 9,055 8,173 8,038 6,790 4.3 3.8 3.8 3.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . 276,045 276,353 275,969 274,601 14,818 13,571 12,815 10,889 5.4 4.9 4.6 4.0

State College. . . . . . . . . . . . . . . . . . . . . . . . 80,117 82,671 80,212 82,577 2,485 2,241 2,319 1,893 3.1 2.7 2.9 2.3

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,595 56,890 57,217 56,308 3,157 2,674 2,586 2,004 5.5 4.7 4.5 3.6

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 232,762 233,901 232,453 232,960 9,041 7,751 8,052 6,389 3.9 3.3 3.5 2.7

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 551,741 545,702 550,675 545,577 25,465 20,386 21,010 16,304 4.6 3.7 3.8 3.0

Providence-Warwick. . . . . . . . . . . . . . . . . . 686,273 682,151 684,947 681,362 32,162 26,168 26,532 20,814 4.7 3.8 3.9 3.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,312,170 2,367,678 2,305,243 2,373,651 79,655 79,010 62,275 70,179 3.4 3.3 2.7 3.0

Charleston-North Charleston. . . . . . . . . . . 380,777 389,907 378,073 390,802 11,095 11,254 8,494 9,947 2.9 2.9 2.2 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 397,712 403,517 394,771 401,661 13,260 12,700 10,446 11,267 3.3 3.1 2.6 2.8

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,146 98,133 95,289 98,078 3,579 3,499 2,889 3,161 3.7 3.6 3.0 3.2

Greenville-Anderson-Mauldin. . . . . . . . . . . 425,595 432,622 422,328 431,800 13,195 13,169 10,151 11,533 3.1 3.0 2.4 2.7

Hilton Head Island-Bluffton-Beaufort. . . . 86,439 89,436 87,336 90,579 2,833 2,799 2,133 2,489 3.3 3.1 2.4 2.7

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193,782 203,043 197,279 206,736 8,902 9,189 7,159 8,011 4.6 4.5 3.6 3.9

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 159,723 163,683 159,070 163,314 5,073 4,927 3,943 4,420 3.2 3.0 2.5 2.7

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,009 45,046 43,791 45,073 1,824 1,713 1,454 1,541 4.1 3.8 3.3 3.4

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 456,469 463,142 455,905 462,823 15,809 14,523 14,821 13,461 3.5 3.1 3.3 2.9

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,449 73,753 73,430 74,662 2,637 2,497 2,492 2,272 3.6 3.4 3.4 3.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 150,942 155,416 151,404 156,083 4,550 4,223 4,164 3,820 3.0 2.7 2.8 2.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,236,419 3,330,614 3,234,211 3,336,603 115,544 110,395 99,827 91,841 3.6 3.3 3.1 2.8

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 270,886 275,242 269,663 275,665 9,759 9,060 8,586 7,736 3.6 3.3 3.2 2.8

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 114,692 117,882 114,709 118,236 4,865 4,720 4,210 4,061 4.2 4.0 3.7 3.4

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,736 58,220 56,791 58,425 2,124 2,038 1,849 1,664 3.7 3.5 3.3 2.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,951 65,671 63,979 65,792 2,481 2,267 2,202 1,932 3.9 3.5 3.4 2.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 92,043 93,749 91,509 93,701 3,513 3,403 2,964 2,863 3.8 3.6 3.2 3.1

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 137,686 140,117 136,770 140,647 5,288 5,180 4,461 4,181 3.8 3.7 3.3 3.0

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420,941 435,041 421,759 435,736 14,147 13,672 12,009 11,119 3.4 3.1 2.8 2.6

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 631,969 642,312 630,603 642,837 26,244 25,255 23,863 22,671 4.2 3.9 3.8 3.5

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,655 52,889 51,646 52,893 1,993 1,970 1,696 1,669 3.9 3.7 3.3 3.2

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,037,411 1,076,862 1,036,508 1,078,784 29,033 27,929 24,999 23,040 2.8 2.6 2.4 2.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,818,674 14,058,831 13,817,292 14,000,988 556,082 494,672 507,416 415,823 4.0 3.5 3.7 3.0

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,116 77,522 77,584 77,140 2,644 2,450 2,389 1,971 3.4 3.2 3.1 2.6

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,704 133,085 132,765 132,533 3,843 3,601 3,342 2,806 2.9 2.7 2.5 2.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,192,406 1,213,676 1,193,943 1,212,444 36,284 33,121 32,360 27,645 3.0 2.7 2.7 2.3

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 175,983 177,193 175,961 175,641 11,411 9,329 10,442 7,946 6.5 5.3 5.9 4.5

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 167,777 166,886 166,236 164,520 10,679 9,117 10,223 7,767 6.4 5.5 6.1 4.7

College Station-Bryan. . . . . . . . . . . . . . . . . 134,170 136,986 133,280 135,472 3,982 3,698 3,533 3,005 3.0 2.7 2.7 2.2

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 210,314 210,172 210,109 207,978 11,133 9,267 10,267 7,476 5.3 4.4 4.9 3.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,871,473 3,975,740 3,876,171 3,962,459 141,507 131,266 128,600 110,729 3.7 3.3 3.3 2.8

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360,702 364,763 360,962 363,329 15,777 14,175 14,553 11,945 4.4 3.9 4.0 3.3

Houston-The Woodlands-Sugar Land. . . 3,385,539 3,436,157 3,382,577 3,426,744 152,210 128,634 140,807 110,023 4.5 3.7 4.2 3.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,427 178,441 175,861 178,470 7,205 6,749 6,705 5,632 4.1 3.8 3.8 3.2

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,428 118,388 116,446 117,732 4,517 4,484 4,108 3,796 3.9 3.8 3.5 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,326 97,260 98,215 96,671 4,222 3,666 3,857 3,111 4.3 3.8 3.9 3.2

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,854 164,402 162,711 163,595 5,619 5,106 4,492 3,792 3.5 3.1 2.8 2.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . 352,540 355,805 351,093 351,678 23,655 20,471 22,353 17,563 6.7 5.8 6.4 5.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,325 106,705 103,795 106,499 2,318 2,219 2,019 1,795 2.3 2.1 1.9 1.7

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,752 86,625 84,763 86,383 2,443 2,146 2,155 1,764 2.9 2.5 2.5 2.0

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,778 56,173 55,804 56,095 1,801 1,710 1,602 1,403 3.2 3.0 2.9 2.5

San Antonio-New Braunfels. . . . . . . . . . . . 1,186,087 1,207,919 1,189,573 1,202,820 40,240 37,537 36,324 31,117 3.4 3.1 3.1 2.6

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,920 64,508 63,176 64,232 2,164 1,964 1,935 1,624 3.4 3.0 3.1 2.5

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,557 64,944 64,247 64,645 2,986 2,898 2,666 2,394 4.6 4.5 4.1 3.7

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,346 108,289 107,182 108,501 3,936 3,641 3,615 3,052 3.7 3.4 3.4 2.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,629 46,727 46,698 46,211 1,900 1,610 1,716 1,345 4.1 3.4 3.7 2.9

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,154 126,480 125,289 126,067 4,593 4,282 4,197 3,449 3.7 3.4 3.3 2.7

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,947 66,335 66,008 65,902 2,368 2,108 2,015 1,740 3.6 3.2 3.1 2.6

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,562,912 1,585,433 1,560,360 1,582,451 51,270 47,628 47,198 42,364 3.3 3.0 3.0 2.7

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,211 71,220 70,568 71,436 1,941 1,806 1,770 1,585 2.8 2.5 2.5 2.2

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 323,847 328,424 323,405 329,939 10,730 9,862 9,920 8,770 3.3 3.0 3.1 2.7

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 304,170 310,273 304,214 309,716 8,891 8,494 8,093 7,412 2.9 2.7 2.7 2.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 73,165 75,386 73,798 75,942 2,595 2,386 2,403 2,205 3.5 3.2 3.3 2.9

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 646,825 654,510 646,848 652,047 20,934 19,491 19,518 17,514 3.2 3.0 3.0 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346,762 345,261 342,835 344,431 10,833 8,097 10,047 7,451 3.1 2.3 2.9 2.2

Burlington-South Burlington. . . . . . . . . . . . 125,702 125,821 126,567 127,850 2,990 2,224 2,674 1,893 2.4 1.8 2.1 1.5

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,336,468 4,373,809 4,331,542 4,365,139 138,404 132,984 118,817 109,209 3.2 3.0 2.7 2.5

Blacksburg-Christiansburg-Radford. . . . . 91,720 91,050 92,036 90,722 2,987 2,871 2,523 2,280 3.3 3.2 2.7 2.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 120,316 120,828 120,866 121,512 3,455 3,339 2,921 2,699 2.9 2.8 2.4 2.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,569 66,267 65,810 66,793 2,072 1,979 1,752 1,580 3.2 3.0 2.7 2.4

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,928 123,572 121,664 122,933 4,545 4,292 3,841 3,396 3.7 3.5 3.2 2.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 676,398 680,859 673,685 681,774 22,822 21,675 19,960 18,019 3.4 3.2 3.0 2.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,105 159,171 156,717 157,373 5,073 4,773 4,334 3,880 3.2 3.0 2.8 2.5

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,189 60,203 59,192 60,087 1,792 1,741 1,546 1,370 3.0 2.9 2.6 2.3

Virginia Beach-Norfolk-Newport News. . . 853,309 854,971 851,306 852,602 29,218 28,640 25,249 23,949 3.4 3.3 3.0 2.8

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,633 72,881 71,834 73,254 2,276 2,214 1,928 1,751 3.2 3.0 2.7 2.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,770,820 3,892,959 3,759,638 3,865,825 181,793 202,012 160,358 172,740 4.8 5.2 4.3 4.5

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,313 116,265 110,706 115,421 5,641 6,087 5,103 5,878 5.1 5.2 4.6 5.1

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 122,140 126,906 121,228 126,352 6,148 6,629 5,694 6,296 5.0 5.2 4.7 5.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . 138,169 144,016 139,481 144,991 8,706 10,254 7,484 8,329 6.3 7.1 5.4 5.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,801 47,179 45,527 47,039 3,003 3,166 2,742 3,054 6.6 6.7 6.0 6.5

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,169 61,878 59,319 61,997 3,319 3,638 3,037 3,453 5.6 5.9 5.1 5.6

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 137,266 143,288 136,471 142,816 7,033 7,649 6,426 7,356 5.1 5.3 4.7 5.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,111,285 2,171,551 2,104,620 2,149,021 82,880 89,789 73,183 73,257 3.9 4.1 3.5 3.4

Spokane-Spokane Valley. . . . . . . . . . . . . . 266,645 279,344 264,174 276,398 16,403 18,996 13,967 16,136 6.2 6.8 5.3 5.8

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,332 32,069 30,098 31,811 1,623 1,949 1,412 1,616 5.4 6.1 4.7 5.1

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 63,443 64,837 63,603 65,176 3,817 4,290 3,150 3,589 6.0 6.6 5.0 5.5

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,271 130,267 126,555 130,328 9,222 12,055 7,762 9,780 7.4 9.3 6.1 7.5

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 776,686 783,668 783,014 787,773 47,142 41,366 42,290 33,306 6.1 5.3 5.4 4.2

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,572 44,677 44,873 44,896 3,060 2,502 2,722 1,969 6.9 5.6 6.1 4.4

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,068 91,558 93,177 92,096 5,860 4,727 5,168 3,842 6.3 5.2 5.5 4.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 145,822 144,422 145,795 144,453 8,811 7,628 7,847 6,301 6.0 5.3 5.4 4.4

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 68,783 68,074 69,775 68,557 3,216 2,835 2,914 2,255 4.7 4.2 4.2 3.3

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 37,701 37,874 38,226 38,221 2,373 2,180 2,142 1,701 6.3 5.8 5.6 4.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,676 68,031 64,691 68,030 4,111 3,783 3,594 3,043 6.4 5.6 5.6 4.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,135,185 3,121,546 3,124,037 3,105,167 111,906 102,808 92,716 82,523 3.6 3.3 3.0 2.7

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,522 130,359 131,417 129,819 4,241 3,708 3,578 3,110 3.2 2.8 2.7 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,572 93,127 93,529 92,728 3,345 3,174 2,713 2,553 3.6 3.4 2.9 2.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,473 57,780 57,330 57,103 1,750 1,625 1,438 1,215 3.0 2.8 2.5 2.1

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,361 176,233 174,660 174,965 5,929 5,307 4,962 4,278 3.4 3.0 2.8 2.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,416 85,877 85,172 85,330 3,275 3,079 2,573 2,389 3.8 3.6 3.0 2.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,767 78,840 78,262 78,399 2,528 2,426 2,001 1,849 3.3 3.1 2.6 2.4

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388,362 386,903 387,261 384,233 10,346 9,448 8,272 7,656 2.7 2.4 2.1 2.0

Milwaukee-Waukesha-West Allis. . . . . . . 829,008 827,160 821,555 820,722 29,006 26,507 24,451 22,055 3.5 3.2 3.0 2.7

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,471 93,006 93,185 92,358 2,836 2,513 2,433 2,139 3.0 2.7 2.6 2.3

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,774 99,460 99,081 98,247 4,157 3,929 3,474 3,106 4.2 4.0 3.5 3.2

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,528 62,573 62,231 62,357 1,804 1,620 1,496 1,307 2.9 2.6 2.4 2.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,481 74,534 73,771 73,799 2,438 2,124 2,012 1,745 3.3 2.8 2.7 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288,281 287,758 287,157 285,303 12,764 10,927 11,619 9,497 4.4 3.8 4.0 3.3

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,340 39,461 39,295 39,181 1,906 1,596 1,757 1,359 4.8 4.0 4.5 3.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,029 48,150 47,929 47,659 1,904 1,742 1,720 1,493 4.0 3.6 3.6 3.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,080,951 1,066,612 1,084,415 1,076,027 105,882 98,451 101,395 83,816 9.8 9.2 9.4 7.8

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 86,628 85,503 87,084 85,446 11,646 10,925 10,881 9,022 13.4 12.8 12.5 10.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,380 51,700 51,635 51,803 6,308 6,204 6,010 5,090 12.3 12.0 11.6 9.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,129 20,016 20,288 19,922 3,163 3,025 2,942 2,506 15.7 15.1 14.5 12.6

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,296 27,060 27,467 27,268 3,049 2,983 3,013 2,575 11.2 11.0 11.0 9.4

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,727 90,506 91,042 91,092 11,293 11,890 10,719 10,101 12.3 13.1 11.8 11.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . 34,534 34,742 34,597 34,869 4,569 4,156 4,297 3,505 13.2 12.0 12.4 10.1

San Juan-Carolina-Caguas. . . . . . . . . . . . 726,519 715,558 730,020 724,835 59,661 53,370 57,791 46,182 8.2 7.5 7.9 6.4

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

March April Number Percent of labor force

2018 2019 2018 2019p

March April March April

2018 2019 2018 2019p 2018 2019 2018 2019p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,328,608 19,511,569 19,271,108 19,241,327 859,783 900,522 775,890 741,851 4.4 4.6 4.0 3.9

Los Angeles-Long Beach-Anaheim. . . 6,758,321 6,751,777 6,729,185 6,661,500 278,128 280,001 262,078 244,597 4.1 4.1 3.9 3.7

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,623,642 1,631,785 1,614,513 1,605,568 47,909 52,175 44,007 41,636 3.0 3.2 2.7 2.6

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,134,679 5,119,992 5,114,672 5,055,932 230,219 227,826 218,071 202,961 4.5 4.4 4.3 4.0

San Francisco-Oakland-Hayward. . . . . 2,570,413 2,619,686 2,558,098 2,579,607 72,265 77,758 65,367 61,936 2.8 3.0 2.6 2.4

Oakland-Hayward-Berkeley. . . . . . . . 1,408,558 1,427,497 1,401,611 1,405,424 44,457 48,113 40,382 38,524 3.2 3.4 2.9 2.7

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,021,870 1,050,116 1,016,918 1,034,284 24,405 25,919 21,852 20,461 2.4 2.5 2.1 2.0

San Rafael. . . . . . . . . . . . . . . . . . . . . . 139,985 142,073 139,569 139,899 3,403 3,726 3,133 2,951 2.4 2.6 2.2 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . 406,065 410,240 405,784 412,711 23,191 22,797 20,934 20,964 5.7 5.6 5.2 5.1

Washington-Arlington-Alexandria2. . . . 3,393,699 3,422,907 3,384,044 3,414,123 117,932 113,236 103,837 97,483 3.5 3.3 3.1 2.9

Silver Spring-Frederick-Rockville3.. . 686,940 685,617 681,293 680,616 23,251 22,247 20,140 18,688 3.4 3.2 3.0 2.7

Washington-Arlington-Alexandria2.. . 2,706,759 2,737,290 2,702,751 2,733,507 94,681 90,989 83,697 78,795 3.5 3.3 3.1 2.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,202,284 10,313,367 10,189,508 10,266,145 373,111 338,212 349,665 300,642 3.7 3.3 3.4 2.9

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,135,419 3,183,058 3,147,500 3,184,458 120,051 103,972 112,487 92,809 3.8 3.3 3.6 2.9

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,031,539 1,034,055 1,027,380 1,028,942 35,664 32,094 33,489 28,670 3.5 3.1 3.3 2.8

Miami-Miami Beach-Kendall. . . . . . . 1,370,087 1,409,294 1,392,345 1,421,837 58,407 47,992 54,885 43,040 4.3 3.4 3.9 3.0

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 733,793 739,709 727,775 733,679 25,980 23,886 24,113 21,099 3.5 3.2 3.3 2.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,467,723 6,470,215 6,436,374 6,479,752 281,008 289,793 245,015 259,434 4.3 4.5 3.8 4.0

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,868,194 4,887,720 4,837,182 4,886,059 200,658 201,086 177,546 183,234 4.1 4.1 3.7 3.8

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,732,796 3,737,507 3,704,494 3,739,042 143,752 133,370 131,518 132,928 3.9 3.6 3.6 3.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 328,624 330,135 325,987 329,489 17,086 19,941 13,563 15,420 5.2 6.0 4.2 4.7

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 341,634 351,435 342,684 348,200 17,259 22,056 14,646 15,217 5.1 6.3 4.3 4.4

Lake County-Kenosha County2. . . . 465,140 468,643 464,017 469,328 22,561 25,719 17,819 19,669 4.9 5.5 3.8 4.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,775,360 3,833,122 3,777,446 3,813,819 141,652 119,552 123,249 99,503 3.8 3.1 3.3 2.6

Boston-Cambridge-Nashua2. . . . . . . . . 2,796,606 2,839,936 2,796,245 2,825,221 92,321 78,108 81,822 66,586 3.3 2.8 2.9 2.4

Boston-Cambridge-Newton. . . . . . . . 1,666,532 1,697,439 1,667,751 1,688,615 50,586 42,542 45,363 36,661 3.0 2.5 2.7 2.2

Brockton-Bridgewater-Easton. . . . . . 110,882 112,538 110,966 111,881 4,472 3,686 3,940 3,092 4.0 3.3 3.6 2.8

Framingham. . . . . . . . . . . . . . . . . . . . . 162,970 164,471 162,515 162,746 5,066 4,341 4,374 3,552 3.1 2.6 2.7 2.2

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 117,170 118,248 117,301 118,414 4,164 3,738 3,611 3,180 3.6 3.2 3.1 2.7

Lawrence-Methuen Town-Salem2.. . 99,984 99,617 99,537 98,528 5,052 4,079 4,504 3,563 5.1 4.1 4.5 3.6

Lowell-Billerica-Chelmsford2. . . . . . . 196,431 199,044 196,491 198,377 7,220 6,024 6,364 4,988 3.7 3.0 3.2 2.5

Lynn-Saugus-Marblehead. . . . . . . . . 86,813 87,730 86,685 87,131 3,035 2,683 2,703 2,214 3.5 3.1 3.1 2.5

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 173,945 176,786 173,095 176,583 5,910 5,352 5,048 4,591 3.4 3.0 2.9 2.6

Peabody-Salem-Beverly. . . . . . . . . . . 94,713 96,077 94,805 95,454 3,193 2,641 2,867 2,311 3.4 2.7 3.0 2.4

Taunton-Middleborough-Norton. . . . 87,166 87,986 87,099 87,492 3,623 3,022 3,048 2,434 4.2 3.4 3.5 2.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,899,905 4,950,462 4,865,880 4,928,273 222,478 219,358 180,285 183,646 4.5 4.4 3.7 3.7

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,123,735 2,155,752 2,100,974 2,133,913 93,515 95,799 73,832 83,850 4.4 4.4 3.5 3.9

Detroit-Dearborn-Livonia. . . . . . . . . . 792,800 805,568 782,942 796,391 41,242 41,132 32,596 36,605 5.2 5.1 4.2 4.6

Warren-Troy-Farmington Hills. . . . . . 1,330,935 1,350,184 1,318,033 1,337,523 52,273 54,667 41,237 47,245 3.9 4.0 3.1 3.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554,320 9,591,302 9,514,505 9,543,460 436,236 393,420 383,604 340,281 4.6 4.1 4.0 3.6

New York-Newark-Jersey City2. . . . . . 9,933,424 9,972,887 9,892,429 9,892,735 428,187 392,811 377,538 322,307 4.3 3.9 3.8 3.3

Dutchess County-Putnam County.. . 193,196 196,845 193,691 196,374 7,915 6,921 7,083 6,158 4.1 3.5 3.7 3.1

Nassau County-Suffolk County. . . . . 1,471,075 1,489,289 1,474,152 1,487,272 61,173 52,029 53,250 44,797 4.2 3.5 3.6 3.0

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,220,828 1,227,956 1,215,918 1,213,734 55,809 50,513 48,455 36,121 4.6 4.1 4.0 3.0

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,048,325 7,058,797 7,008,668 6,995,355 303,290 283,348 268,750 235,231 4.3 4.0 3.8 3.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,376,939 6,452,006 6,378,250 6,420,621 288,596 250,935 252,656 204,638 4.5 3.9 4.0 3.2

Philadelphia-Camden-Wilmington2. . . . 3,067,552 3,116,023 3,068,374 3,099,737 133,934 116,279 120,347 96,496 4.4 3.7 3.9 3.1

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 627,669 629,470 621,552 622,157 28,419 25,953 24,738 18,612 4.5 4.1 4.0 3.0

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,059,331 1,078,709 1,063,051 1,074,497 37,586 33,147 33,931 27,818 3.5 3.1 3.2 2.6

Philadelphia. . . . . . . . . . . . . . . . . . . . . 998,461 1,021,414 1,001,421 1,015,935 52,141 43,921 47,191 38,160 5.2 4.3 4.7 3.8

Wilmington3. . . . . . . . . . . . . . . . . . . . . 382,091 386,430 382,350 387,148 15,788 13,258 14,487 11,906 4.1 3.4 3.8 3.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,818,674 14,058,831 13,817,292 14,000,988 556,082 494,672 507,416 415,823 4.0 3.5 3.7 3.0

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,871,473 3,975,740 3,876,171 3,962,459 141,507 131,266 128,600 110,729 3.7 3.3 3.3 2.8

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,610,796 2,689,554 2,614,152 2,681,863 95,812 88,477 87,372 75,076 3.7 3.3 3.3 2.8

Fort Worth-Arlington. . . . . . . . . . . . . . 1,260,677 1,286,186 1,262,019 1,280,596 45,695 42,789 41,228 35,653 3.6 3.3 3.3 2.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,770,820 3,892,959 3,759,638 3,865,825 181,793 202,012 160,358 172,740 4.8 5.2 4.3 4.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,111,285 2,171,551 2,104,620 2,149,021 82,880 89,789 73,183 73,257 3.9 4.1 3.5 3.4

Seattle-Bellevue-Everett. . . . . . . . . . . 1,689,893 1,733,740 1,685,120 1,712,200 59,255 64,618 51,298 49,319 3.5 3.7 3.0 2.9

Tacoma-Lakewood. . . . . . . . . . . . . . . 421,392 437,811 419,500 436,821 23,625 25,171 21,885 23,938 5.6 5.7 5.2 5.5

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

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

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

p Preliminary

NOTE: Data refer to place of residence. Area delineations are based on Office of Management and Budget Bulletin No. 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

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,029.9 2,064.7 2,039.9 2,075.5 35.6 1.7

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

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.6 66.7 65.0 67.2 2.2 3.4

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535.0 544.6 536.6 546.9 10.3 1.9

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 78.7 77.6 79.7 2.1 2.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 56.5 55.2 56.7 1.5 2.7

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 59.4 58.8 59.3 0.5 0.9

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 56.9 56.9 57.1 0.2 0.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.7 37.9 38.8 0.9 2.4

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.4 241.4 237.8 242.2 4.4 1.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.0 186.0 185.4 187.5 2.1 1.1

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.2 177.8 177.3 179.2 1.9 1.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.9 111.9 109.4 112.6 3.2 2.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.3 320.0 319.3 324.9 5.6 1.8

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.1 171.6 173.5 175.0 1.5 0.9

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 36.3 37.1 36.8 -0.3 -0.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,850.6 2,918.9 2,852.5 2,931.4 78.9 2.8

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 67.3 68.4 68.5 0.1 0.1

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 51.7 51.0 52.7 1.7 3.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,101.2 2,160.1 2,101.3 2,169.3 68.0 3.2

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 65.8 65.8 66.2 0.4 0.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.6 33.7 33.8 0.1 0.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383.0 389.2 383.2 390.2 7.0 1.8

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 58.0 55.4 56.8 1.4 2.5

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,260.2 1,270.3 1,264.7 1,279.0 14.3 1.1

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.2 263.1 259.0 263.6 4.6 1.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.8 112.9 114.6 114.3 -0.3 -0.3

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 39.4 39.4 39.9 0.5 1.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.9 58.1 59.3 1.2 2.1

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.2 363.3 360.4 363.9 3.5 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 33.3 33.3 33.2 -0.1 -0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,059.7 17,313.8 17,119.0 17,400.1 281.1 1.6

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.6 270.7 265.9 271.7 5.8 2.2

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.4 83.8 83.3 84.7 1.4 1.7

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 52.5 52.4 52.3 -0.1 -0.2

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350.1 362.3 351.4 364.9 13.5 3.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.4 40.5 40.8 40.9 0.1 0.2

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,140.8 6,194.4 6,146.7 6,220.8 74.1 1.2

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.8 38.1 38.9 0.8 2.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 69.5 68.5 69.6 1.1 1.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.8 177.6 178.7 178.8 0.1 0.1

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.2 73.7 74.2 75.0 0.8 1.1

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.7 310.3 309.6 313.1 3.5 1.1

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 66.4 66.7 67.3 0.6 0.9

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,494.2 1,515.8 1,499.3 1,523.3 24.0 1.6

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 985.9 1,014.4 992.8 1,019.4 26.6 2.7

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.1 144.9 142.4 146.9 4.5 3.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473.9 1,492.6 1,480.0 1,500.4 20.4 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,416.9 2,478.6 2,426.6 2,491.3 64.7 2.7

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113.0 1,141.4 1,117.2 1,147.1 29.9 2.7

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 117.5 119.0 118.9 120.8 1.9 1.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.2 103.7 103.3 104.9 1.6 1.5

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.7 187.6 183.6 188.1 4.5 2.5

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206.0 207.7 207.8 210.6 2.8 1.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.9 239.5 239.8 241.1 1.3 0.5

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.7 140.1 141.7 141.9 0.2 0.1

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 128.1 126.4 128.3 1.9 1.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.7 44.5 44.4 44.9 0.5 1.1

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,696.4 2,745.7 2,709.3 2,757.7 48.4 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

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.8 198.8 193.7 199.4 5.7 2.9

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.7 294.2 290.5 296.0 5.5 1.9

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,480.4 1,501.2 1,493.1 1,509.1 16.0 1.1

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.0 172.6 169.6 174.5 4.9 2.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 64.9 64.2 66.1 1.9 3.0

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.8 111.0 109.1 111.7 2.6 2.4

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.8 62.7 63.0 63.0 0.0 0.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,667.4 1,675.5 1,681.1 1,691.6 10.5 0.6

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401.8 401.8 404.6 407.6 3.0 0.7

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.5 77.0 77.0 77.5 0.5 0.6

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 576.0 578.8 579.1 581.6 2.5 0.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.4 282.9 286.4 287.0 0.6 0.2

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.3 127.7 128.7 128.7 0.0 0.0

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 68.6 68.4 68.7 0.3 0.4

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454.2 458.7 459.9 464.0 4.1 0.9

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.1 69.4 69.8 70.5 0.7 1.0

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.7 157.6 158.6 160.6 2.0 1.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.2 794.1 793.3 797.4 4.1 0.5

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,278.8 3,309.4 3,300.4 3,330.2 29.8 0.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,776.2 8,978.8 8,779.3 8,991.7 212.4 2.4

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274.9 283.7 273.0 283.1 10.1 3.7

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.4 118.3 116.3 118.9 2.6 2.2

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.9 207.6 204.6 208.3 3.7 1.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.4 147.9 146.6 148.6 2.0 1.4

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 34.3 33.6 34.3 0.7 2.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 707.8 714.6 706.8 718.4 11.6 1.6

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.8 233.6 226.1 232.8 6.7 3.0

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,680.2 2,733.7 2,676.0 2,737.8 61.8 2.3

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.6 156.8 152.6 156.7 4.1 2.7

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.4 313.4 310.1 314.6 4.5 1.5

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.8 106.9 104.3 107.0 2.7 2.6

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,287.5 1,332.4 1,289.2 1,333.8 44.6 3.5

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.7 230.2 222.2 230.4 8.2 3.7

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.8 83.6 86.1 84.2 -1.9 -2.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.1 183.2 181.8 185.3 3.5 1.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.7 156.4 151.7 157.3 5.6 3.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 51.2 49.2 51.0 1.8 3.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 55.5 53.7 55.3 1.6 3.0

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.6 26.6 26.4 26.4 0.0 0.0

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.5 190.2 185.9 190.2 4.3 2.3

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,349.0 1,376.3 1,350.4 1,375.1 24.7 1.8

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.2 30.9 30.0 31.0 1.0 3.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,504.2 4,589.2 4,521.0 4,591.6 70.6 1.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.2 62.6 63.1 0.5 0.8

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.9 98.5 98.0 98.6 0.6 0.6

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,759.3 2,821.1 2,767.6 2,817.7 50.1 1.8

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240.6 244.6 245.6 249.7 4.1 1.7

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 45.2 45.1 45.6 0.5 1.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.5 123.0 122.4 123.1 0.7 0.6

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.8 69.1 67.5 69.4 1.9 2.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.4 94.9 91.0 95.7 4.7 5.2

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.6 21.0 20.5 21.1 0.6 2.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.9 103.8 103.1 103.7 0.6 0.6

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 42.2 41.5 42.4 0.9 2.2

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.6 184.7 183.0 185.3 2.3 1.3

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 57.2 56.0 57.2 1.2 2.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.4 77.0 76.1 77.6 1.5 2.0

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 659.4 660.8 656.1 660.4 4.3 0.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 78.2 77.0 78.3 1.3 1.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479.9 482.1 476.9 481.6 4.7 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 725.1 742.1 731.2 749.0 17.8 2.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327.1 338.8 329.2 342.0 12.8 3.9

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 64.8 64.8 66.9 2.1 3.2

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.2 68.8 66.9 70.0 3.1 4.6

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.3 28.4 28.4 0.0 0.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.3 37.1 36.9 37.7 0.8 2.2

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.4 46.1 46.8 0.7 1.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,046.8 6,083.9 6,078.5 6,159.1 80.6 1.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.3 91.7 94.0 93.0 -1.0 -1.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 59.0 58.3 59.8 1.5 2.6

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5 111.9 113.7 113.7 0.0 0.0

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,678.3 4,712.9 4,698.4 4,772.4 74.0 1.6

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 27.4 27.9 27.8 -0.1 -0.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.8 185.5 185.5 187.8 2.3 1.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.3 51.3 51.6 51.8 0.2 0.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.9 45.8 46.3 0.5 1.1

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.5 174.2 173.3 176.7 3.4 2.0

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.4 151.9 151.9 154.2 2.3 1.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.3 112.9 114.1 115.2 1.1 1.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,120.7 3,153.2 3,137.8 3,173.1 35.3 1.1

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 78.9 79.6 79.8 0.2 0.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 54.4 53.0 54.2 1.2 2.3

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.2 142.1 142.8 142.7 -0.1 -0.1

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.3 163.6 161.8 163.6 1.8 1.1

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.2 225.7 223.3 227.5 4.2 1.9

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,062.0 1,072.8 1,063.7 1,074.0 10.3 1.0

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 41.3 41.0 41.6 0.6 1.5

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.3 104.6 107.6 106.1 -1.5 -1.4

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.2 40.6 41.4 41.0 -0.4 -1.0

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.2 51.7 51.5 -0.2 -0.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.1 144.2 144.3 145.2 0.9 0.6

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.5 70.5 71.1 71.1 0.0 0.0

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,563.8 1,568.1 1,583.3 1,591.9 8.6 0.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 55.2 54.9 55.8 0.9 1.6

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.6 142.4 144.8 144.8 0.0 0.0

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.0 369.9 369.5 377.0 7.5 2.0

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 60.6 60.5 61.4 0.9 1.5

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.8 100.4 102.5 101.4 -1.1 -1.1

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 88.9 87.6 90.2 2.6 3.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.1 91.4 92.2 92.5 0.3 0.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,405.4 1,411.5 1,416.2 1,428.5 12.3 0.9

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.0 54.3 54.7 0.4 0.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 43.4 44.1 44.1 0.0 0.0

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.7 113.1 112.4 113.5 1.1 1.0

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.0 301.1 298.5 303.4 4.9 1.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,914.5 1,931.4 1,931.4 1,954.1 22.7 1.2

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.8 76.6 76.7 78.2 1.5 2.0

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.3 56.8 56.9 57.5 0.6 1.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273.4 275.6 277.0 281.6 4.6 1.7

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664.1 668.6 668.4 673.7 5.3 0.8

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 53.8 54.6 54.5 -0.1 -0.2

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,982.8 1,982.1 1,984.7 1,987.4 2.7 0.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 61.3 62.0 61.6 -0.4 -0.6

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.6 411.7 411.0 411.6 0.6 0.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.7 45.6 45.9 0.3 0.7

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 84.6 87.0 84.3 -2.7 -3.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.0 204.6 203.3 204.7 1.4 0.7

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.2 117.9 117.7 118.5 0.8 0.7

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 78.6 78.5 78.2 -0.3 -0.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.2 582.6 577.9 587.9 10.0 1.7

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.1 179.3 181.4 179.2 -2.2 -1.2

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 610.3 613.1 618.5 620.1 1.6 0.3

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.6 66.6 67.6 67.7 0.1 0.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 50.4 50.6 51.3 0.7 1.4

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.1 204.2 206.6 206.3 -0.3 -0.1

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,721.7 2,737.4 2,741.6 2,761.1 19.5 0.7

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,401.7 1,417.6 1,413.4 1,430.8 17.4 1.2

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.9 45.8 46.1 0.3 0.7

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.1 39.1 39.7 0.6 1.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.1 105.3 104.5 106.3 1.8 1.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,586.0 3,607.2 3,628.9 3,659.3 30.4 0.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.7 98.1 101.7 102.5 0.8 0.8

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,737.1 2,747.9 2,764.2 2,783.2 19.0 0.7

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 54.4 53.8 54.9 1.1 2.0

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 66.6 66.4 67.5 1.1 1.7

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.6 39.3 40.0 40.0 0.0 0.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 332.1 338.2 337.8 345.1 7.3 2.2

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.7 283.6 287.5 286.2 -1.3 -0.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,375.2 4,399.6 4,391.9 4,427.1 35.2 0.8

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.3 225.6 225.0 226.5 1.5 0.7

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 57.9 58.0 58.0 0.0 0.0

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.8 34.6 35.2 34.9 -0.3 -0.9

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,010.4 2,022.0 2,018.9 2,025.4 6.5 0.3

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.5 141.4 140.2 142.7 2.5 1.8

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560.9 567.3 564.2 568.9 4.7 0.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 58.6 58.8 59.4 0.6 1.0

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.6 150.1 149.5 151.2 1.7 1.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.5 236.7 239.2 239.1 -0.1 0.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 37.3 38.1 37.7 -0.4 -1.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 42.0 41.4 42.1 0.7 1.7

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 64.8 64.7 65.4 0.7 1.1

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 61.6 61.8 62.6 0.8 1.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 87.0 86.8 87.1 0.3 0.3

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,900.6 2,907.8 2,924.7 2,939.0 14.3 0.5

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.7 135.1 137.0 137.3 0.3 0.2

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.0 58.2 58.8 0.6 1.0

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.4 1,977.4 1,993.1 2,000.1 7.0 0.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 122.2 121.1 123.0 1.9 1.6

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.9 109.6 108.8 111.4 2.6 2.4

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,151.8 1,160.5 1,157.0 1,169.0 12.0 1.0

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.1 157.2 156.0 157.2 1.2 0.8

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.9 67.3 64.8 67.8 3.0 4.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.2 282.8 279.8 285.2 5.4 1.9

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,866.4 2,884.7 2,897.3 2,928.3 31.0 1.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 45.2 44.9 45.7 0.8 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.4 100.4 101.3 101.4 0.1 0.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 76.0 76.8 76.7 -0.1 -0.1

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 82.1 81.3 82.2 0.9 1.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.9 1,092.2 1,094.2 1,109.3 15.1 1.4

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 62.6 63.0 63.8 0.8 1.3

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,373.5 1,387.5 1,386.0 1,408.7 22.7 1.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.7 219.9 216.5 221.3 4.8 2.2

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467.7 470.6 472.7 475.3 2.6 0.6

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.0 83.9 85.7 85.2 -0.5 -0.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Montana - Continued

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.4 35.7 35.8 36.3 0.5 1.4

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.4 62.2 63.2 1.0 1.6

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013.8 1,013.7 1,022.0 1,025.0 3.0 0.3

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 42.0 42.3 42.2 -0.1 -0.2

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.4 189.6 191.3 190.8 -0.5 -0.3

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496.7 502.0 501.3 507.5 6.2 1.2

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,368.7 1,415.2 1,374.2 1,426.0 51.8 3.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.8 30.8 30.0 31.1 1.1 3.7

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 998.0 1,021.5 999.2 1,025.3 26.1 2.6

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.7 252.5 241.4 254.8 13.4 5.6

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.1 677.4 673.7 683.8 10.1 1.5

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 54.2 54.5 54.6 0.1 0.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.4 114.7 114.4 115.4 1.0 0.9

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.4 90.9 92.1 92.7 0.6 0.7

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,087.5 4,136.2 4,126.0 4,182.3 56.3 1.4

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.6 131.7 127.0 133.1 6.1 4.8

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.0 37.0 37.7 40.9 3.2 8.5

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.2 274.8 272.6 280.3 7.7 2.8

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 59.0 59.2 60.0 0.8 1.4

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 838.0 849.2 842.8 855.8 13.0 1.5

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.9 394.2 393.5 396.0 2.5 0.6

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 47.9 48.4 48.4 0.0 0.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 74.5 74.3 74.6 0.3 0.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.3 63.2 63.6 0.4 0.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,567.0 9,667.8 9,634.6 9,765.3 130.7 1.4

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466.3 472.6 470.5 474.7 4.2 0.9

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 103.1 103.9 104.1 0.2 0.2

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 556.2 559.2 559.5 565.2 5.7 1.0

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 36.7 36.9 36.8 -0.1 -0.3

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 53.4 53.2 53.8 0.6 1.1

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 66.4 66.3 67.6 1.3 2.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 63.1 62.4 64.0 1.6 2.6

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,722.6 9,845.7 9,792.1 9,931.7 139.6 1.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.9 535.6 538.5 541.8 3.3 0.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.3 320.8 318.3 325.3 7.0 2.2

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 126.7 128.1 127.7 -0.4 -0.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.7 40.8 41.4 41.0 -0.4 -1.0

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,459.1 4,525.6 4,489.8 4,556.6 66.8 1.5

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.8 198.7 195.0 201.3 6.3 3.2

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 62.5 62.5 62.5 0.0 0.0

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.8 1,224.6 1,201.3 1,231.1 29.8 2.5

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.1 317.7 316.7 319.4 2.7 0.9

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.1 131.9 131.6 133.1 1.5 1.1

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.4 41.5 41.6 0.1 0.2

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.4 360.3 361.4 363.7 2.3 0.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.2 81.3 81.6 81.0 -0.6 -0.7

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.8 155.0 154.4 155.9 1.5 1.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 49.6 50.2 49.9 -0.3 -0.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 44.6 44.7 44.9 0.2 0.4

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 627.9 635.9 632.7 640.3 7.6 1.2

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 55.8 55.8 55.9 0.1 0.2

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.2 130.6 130.1 132.0 1.9 1.5

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.3 270.9 267.1 270.2 3.1 1.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425.4 426.7 428.4 430.8 2.4 0.6

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.2 71.2 71.2 72.1 0.9 1.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.5 140.2 140.8 141.5 0.7 0.5

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 55.2 56.1 55.2 -0.9 -1.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,494.6 5,533.6 5,543.4 5,581.4 38.0 0.7

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.1 339.3 340.4 340.7 0.3 0.1

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.9 173.0 174.2 175.2 1.0 0.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,093.8 1,112.6 1,102.9 1,126.1 23.2 2.1

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,051.6 1,066.4 1,062.0 1,075.5 13.5 1.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,082.5 1,098.3 1,090.9 1,105.5 14.6 1.3

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.5 387.9 390.5 391.4 0.9 0.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 52.9 52.9 53.3 0.4 0.8

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 52.7 52.6 53.3 0.7 1.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 50.2 50.2 50.5 0.3 0.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.2 307.6 311.1 310.2 -0.9 -0.3

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 39.6 40.3 40.0 -0.3 -0.7

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.9 215.0 221.1 216.9 -4.2 -1.9

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,681.1 1,689.2 1,681.2 1,700.7 19.5 1.2

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.5 25.3 25.4 25.4 0.0 0.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.2 45.2 45.5 0.3 0.7

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 644.5 650.7 647.0 658.2 11.2 1.7

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454.2 454.2 452.2 457.0 4.8 1.1

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,895.1 1,925.9 1,903.8 1,938.8 35.0 1.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 46.2 45.9 46.8 0.9 2.0

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.6 85.2 83.8 86.1 2.3 2.7

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.5 44.4 45.0 0.6 1.4

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.4 162.0 161.8 163.8 2.0 1.2

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 27.3 27.1 27.7 0.6 2.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.9 89.4 88.6 90.3 1.7 1.9

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,187.2 1,210.1 1,189.6 1,214.0 24.4 2.1

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.9 170.1 168.0 170.6 2.6 1.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,946.2 5,989.2 6,008.8 6,062.3 53.5 0.9

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369.9 372.3 373.9 376.3 2.4 0.6

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 61.5 61.6 61.9 0.3 0.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 42.5 43.3 43.1 -0.2 -0.5

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 62.6 61.1 63.0 1.9 3.1

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.9 58.4 58.1 58.4 0.3 0.5

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.9 127.3 127.8 128.5 0.7 0.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 35.3 35.6 35.7 0.1 0.3

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.5 340.6 346.0 347.2 1.2 0.3

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 54.6 54.8 55.1 0.3 0.5

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.3 254.7 256.6 258.3 1.7 0.7

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.5 53.4 54.2 0.8 1.5

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,909.7 2,947.6 2,936.7 2,975.1 38.4 1.3

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,173.9 1,182.1 1,185.9 1,193.2 7.3 0.6

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.6 179.9 180.0 181.5 1.5 0.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.9 260.6 264.7 263.6 -1.1 -0.4

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 82.8 81.2 83.7 2.5 3.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 52.8 54.0 53.3 -0.7 -1.3

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.2 186.1 187.2 187.6 0.4 0.2

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 486.9 486.9 494.2 499.1 4.9 1.0

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 582.2 583.6 590.5 595.4 4.9 0.8

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,131.3 2,164.3 2,142.2 2,181.7 39.5 1.8

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.4 369.0 363.1 372.0 8.9 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 402.8 399.2 402.5 3.3 0.8

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.3 92.6 91.0 92.9 1.9 2.1

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424.4 428.4 424.9 430.3 5.4 1.3

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.4 83.0 82.1 84.6 2.5 3.0

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.3 175.0 173.0 180.0 7.0 4.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.0 161.2 159.0 161.9 2.9 1.8

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 40.9 40.2 41.1 0.9 2.2

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429.8 437.8 431.8 442.3 10.5 2.4

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 67.4 67.4 68.8 1.4 2.1

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.2 159.2 155.8 161.0 5.2 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

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,034.7 3,084.6 3,052.2 3,105.6 53.4 1.7

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.0 263.6 260.5 265.4 4.9 1.9

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.6 93.4 92.3 94.5 2.2 2.4

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 46.4 46.0 46.9 0.9 2.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.3 69.7 68.9 70.2 1.3 1.9

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.4 81.8 81.7 82.2 0.5 0.6

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.3 122.5 121.4 123.7 2.3 1.9

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 396.2 404.8 399.9 407.5 7.6 1.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 642.5 650.1 644.6 653.1 8.5 1.3

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 46.7 46.5 46.8 0.3 0.6

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000.2 1,026.8 1,004.9 1,032.7 27.8 2.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,400.5 12,668.6 12,427.6 12,739.7 312.1 2.5

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 70.1 70.4 70.5 0.1 0.1

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.8 120.2 120.3 120.9 0.6 0.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.2 1,082.2 1,062.9 1,089.0 26.1 2.5

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.0 167.2 165.0 167.5 2.5 1.5

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 142.6 140.7 142.2 1.5 1.1

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.8 123.9 120.4 123.3 2.9 2.4

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.4 194.8 193.8 195.1 1.3 0.7

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,639.5 3,749.0 3,649.0 3,764.6 115.6 3.2

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.0 320.7 316.7 322.2 5.5 1.7

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,064.2 3,133.8 3,065.1 3,151.3 86.2 2.8

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.4 145.0 142.8 146.5 3.7 2.6

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 106.3 104.7 106.6 1.9 1.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.2 96.4 97.3 96.8 -0.5 -0.5

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.2 149.2 148.2 150.2 2.0 1.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.8 271.0 264.6 271.4 6.8 2.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 109.5 106.4 110.2 3.8 3.6

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 81.9 80.2 82.4 2.2 2.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.3 50.0 49.8 50.7 0.9 1.8

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,049.6 1,071.4 1,054.4 1,075.3 20.9 2.0

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 48.6 47.4 48.6 1.2 2.5

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 60.0 59.6 60.3 0.7 1.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.3 106.6 105.3 107.7 2.4 2.3

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 42.0 41.7 41.8 0.1 0.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 121.9 120.9 122.8 1.9 1.6

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 59.9 59.7 60.2 0.5 0.8

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,501.2 1,547.2 1,506.8 1,555.4 48.6 3.2

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.8 64.6 63.6 65.2 1.6 2.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.6 266.4 259.8 270.4 10.6 4.1

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.6 269.9 262.4 271.4 9.0 3.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 70.5 68.5 71.5 3.0 4.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 724.1 741.3 726.9 743.5 16.6 2.3

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.8 316.5 310.1 314.4 4.3 1.4

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.0 125.2 125.4 127.0 1.6 1.3

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,971.1 4,006.5 4,001.4 4,042.6 41.2 1.0

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 77.9 79.8 78.6 -1.2 -1.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.4 119.5 120.2 121.1 0.9 0.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 69.4 68.8 70.1 1.3 1.9

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.1 105.5 104.6 106.3 1.7 1.6

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672.0 675.7 675.3 685.2 9.9 1.5

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.6 162.7 161.7 162.9 1.2 0.7

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 51.2 50.6 51.6 1.0 2.0

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 786.8 786.2 792.8 794.4 1.6 0.2

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 64.9 64.4 65.9 1.5 2.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,365.1 3,445.2 3,382.9 3,473.0 90.1 2.7

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.1 97.7 95.6 97.9 2.3 2.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.2 94.2 92.5 94.7 2.2 2.4

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.1 117.2 115.6 119.6 4.0 3.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 40.1 39.9 40.4 0.5 1.3

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

Washington - Continued

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.8 51.0 52.5 1.5 2.9

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.1 122.4 119.7 123.3 3.6 3.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,021.9 2,073.0 2,029.7 2,086.7 57.0 2.8

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247.8 254.1 249.6 256.1 6.5 2.6

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.6 28.8 27.9 29.0 1.1 3.9

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 44.8 45.4 45.9 0.5 1.1

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 87.0 86.9 87.9 1.0 1.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713.6 730.5 721.0 735.4 14.4 2.0

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 43.2 43.2 43.6 0.4 0.9

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.2 109.4 110.6 109.8 -0.8 -0.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134.1 133.0 134.9 134.1 -0.8 -0.6

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.0 70.0 71.9 70.4 -1.5 -2.1

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 38.0 38.3 38.3 0.0 0.0

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 68.8 65.7 69.2 3.5 5.3

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,935.8 2,942.0 2,953.8 2,960.6 6.8 0.2

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.7 123.8 125.1 125.1 0.0 0.0

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 87.0 87.6 88.0 0.4 0.5

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.0 48.8 48.4 49.0 0.6 1.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.8 180.5 178.9 181.7 2.8 1.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 69.7 69.5 70.4 0.9 1.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 79.3 79.4 80.2 0.8 1.0

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.1 401.2 402.6 403.9 1.3 0.3

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 867.4 869.9 869.7 876.9 7.2 0.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.3 97.6 98.1 98.1 0.0 0.0

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 77.8 78.2 78.1 -0.1 -0.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.6 62.4 63.4 1.0 1.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 73.5 72.3 73.7 1.4 1.9

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.2 283.6 279.4 283.5 4.1 1.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.9 38.6 39.3 0.7 1.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.6 46.2 46.7 0.5 1.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 855.8 873.2 854.7 872.4 17.7 2.1

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.1 50.7 51.1 0.4 0.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 34.0 32.9 34.1 1.2 3.6

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.3 13.8 13.6 13.7 0.1 0.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.6 32.0 31.5 31.9 0.4 1.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.3 66.5 67.1 0.6 0.9

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.8 20.3 18.9 20.3 1.4 7.4

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.0 635.2 622.2 634.4 12.2 2.0

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 34.6 32.9 34.7 1.8 5.5

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

March April Change from

April 2018 to April 2019p

2018 2019 2018 2019p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,059.7 17,313.8 17,119.0 17,400.1 281.1 1.6

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,140.8 6,194.4 6,146.7 6,220.8 74.1 1.2

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,641.3 1,656.9 1,646.0 1,664.0 18.0 1.1

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,499.5 4,537.5 4,500.7 4,556.8 56.1 1.2

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,416.9 2,478.6 2,426.6 2,491.3 64.7 2.7

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,173.0 1,190.8 1,177.7 1,197.4 19.7 1.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,129.0 1,170.4 1,133.1 1,175.4 42.3 3.7

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.9 117.4 115.8 118.5 2.7 2.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.2 794.1 793.3 797.4 4.1 0.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,278.8 3,309.4 3,300.4 3,330.2 29.8 0.9

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 591.7 590.5 595.6 595.7 0.1 0.0

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,687.1 2,718.9 2,704.8 2,734.5 29.7 1.1

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,776.2 8,978.8 8,779.3 8,991.7 212.4 2.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,680.2 2,733.7 2,676.0 2,737.8 61.8 2.3

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 850.2 863.2 850.6 867.0 16.4 1.9

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,195.4 1,221.7 1,193.6 1,221.4 27.8 2.3

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.6 648.8 631.8 649.4 17.6 2.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,046.8 6,083.9 6,078.5 6,159.1 80.6 1.3

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,678.3 4,712.9 4,698.4 4,772.4 74.0 1.6

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,731.9 3,755.7 3,741.4 3,799.7 58.3 1.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.1 260.7 260.0 264.5 4.5 1.7

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.5 279.4 278.7 282.2 3.5 1.3

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.8 417.1 418.3 426.0 7.7 1.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,586.0 3,607.2 3,628.9 3,659.3 30.4 0.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,737.1 2,747.9 2,764.2 2,783.2 19.0 0.7

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,848.2 1,861.3 1,866.1 1,886.2 20.1 1.1

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 81.2 81.9 82.4 0.5 0.6

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.0 171.2 174.0 172.0 -2.0 -1.1

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 65.8 67.0 67.5 0.5 0.7

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.7 80.6 83.2 80.5 -2.7 -3.2

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.6 156.7 158.5 159.7 1.2 0.8

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 44.9 45.9 45.6 -0.3 -0.7

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.1 129.9 129.1 131.0 1.9 1.5

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.5 95.7 96.5 96.6 0.1 0.1

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 60.6 62.0 61.7 -0.3 -0.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,375.2 4,399.6 4,391.9 4,427.1 35.2 0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,010.4 2,022.0 2,018.9 2,025.4 6.5 0.3

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758.9 766.3 762.6 766.0 3.4 0.4

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,251.5 1,255.7 1,256.3 1,259.4 3.1 0.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,567.0 9,667.8 9,634.6 9,765.3 130.7 1.4

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,722.6 9,845.7 9,792.1 9,931.7 139.6 1.4

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.2 149.3 147.9 150.2 2.3 1.6

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,323.8 1,334.0 1,344.0 1,350.5 6.5 0.5

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,206.2 1,213.7 1,215.8 1,226.0 10.2 0.8

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,046.4 7,148.7 7,084.4 7,205.0 120.6 1.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,946.2 5,989.2 6,008.8 6,062.3 53.5 0.9

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,909.7 2,947.6 2,936.7 2,975.1 38.4 1.3

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.8 537.6 538.1 542.7 4.6 0.9

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,059.0 1,070.7 1,070.6 1,080.7 10.1 0.9

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953.7 977.7 965.5 985.4 19.9 2.1

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.2 361.6 362.5 366.3 3.8 1.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,400.5 12,668.6 12,427.6 12,739.7 312.1 2.5

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,639.5 3,749.0 3,649.0 3,764.6 115.6 3.2

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,592.0 2,681.1 2,598.5 2,693.4 94.9 3.7

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,047.5 1,067.9 1,050.5 1,071.2 20.7 2.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,365.1 3,445.2 3,382.9 3,473.0 90.1 2.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,021.9 2,073.0 2,029.7 2,086.7 57.0 2.8

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,704.6 1,749.2 1,709.5 1,759.4 49.9 2.9

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.3 323.8 320.2 327.3 7.1 2.2

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

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

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

p Preliminary

NOTE: Data 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, 

April 2019

(U.S. rate = 3.3 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, April 2019

(U.S. average = 1.8 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.