For release 10:00 a.m. (EST) Wednesday, January 30, 2019 USDL-19-0138 

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 — DECEMBER 2018

Unemployment rates were lower in December than a year earlier in 250 of the 388 metropolitan areas, 

higher in 116 areas, and unchanged in 22 areas, the U.S. Bureau of Labor Statistics reported today. A 

total of 89 areas had jobless rates of less than 3.0 percent and 3 areas had rates of at least 10.0 percent. 

Nonfarm payroll employment increased over the year in 61 metropolitan areas and was essentially 

unchanged in 327 areas. The national unemployment rate in December was 3.7 percent, not seasonally 

adjusted, down from 3.9 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted)

In December, Ames, IA, had the lowest unemployment rate, 1.4 percent. El Centro, CA, and Yuma, AZ, 

had the highest unemployment rates, 17.3 percent and 15.4 percent, respectively. A total of 193 areas 

had December unemployment rates below the U.S. rate of 3.7 percent, 179 areas had rates above it, and 

16 areas had rates equal to that of the nation. (See table 1 and map 1.) 

The largest over-the-year unemployment rate decrease occurred in Ocean City, NJ (-2.2 percentage 

points). Twenty-five additional areas had rate decreases of at least 1.0 percentage point. Panama City, 

FL, had the largest over-the-year rate increase in December (+2.2 percentage points).

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Nashville-Davidson— 

Murfreesboro—Franklin, TN, had the lowest unemployment rate in December, 2.3 percent. ClevelandElyria, OH, had the highest jobless rate among the large areas, 4.9 percent. Thirty-three large areas had 

over-the-year unemployment rate decreases, 15 had increases, and 3 had no change. The largest rate 

decreases occurred in Buffalo-Cheektowaga-Niagara Falls, NY (-1.4 percentage points), and Rochester, 

NY (-1.2 points). The largest over-the-year rate increase was in Denver-Aurora-Lakewood, CO (+0.8 

percentage point). 

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

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

essentially separately identifiable employment centers. In December, San Francisco-Redwood CitySouth San Francisco, CA, had the lowest rate among the divisions, 2.1 percent. Elgin, IL, had the 

highest division rate, 5.7 percent. (See table 2.) 
- 2 - 

In December, 30 metropolitan divisions had over-the-year unemployment rate decreases and 8 had 

increases. The largest rate decline occurred in Chicago-Naperville-Arlington Heights, IL (-1.3 

percentage points). The largest over-the-year rate increase was in Elgin, IL (+1.3 percentage points).

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In December, 61 metropolitan areas had over-the-year increases in nonfarm payroll employment and 

327 were essentially unchanged. The largest over-the-year employment increases occurred in DallasFort Worth-Arlington, TX (+116,400), New York-Newark-Jersey City, NY-NJ-PA (+115,500), and 

Houston-The Woodlands-Sugar Land, TX (+108,300). The largest over-the-year percentage gains in 

employment occurred in Midland, TX (+6.7 percent), Colorado Springs, CO (+5.5 percent), and Reno, 

NV (+5.3 percent). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 39 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 12 areas. The largest 

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

Orlando-Kissimmee-Sanford, FL (+4.0 percent), Phoenix-Mesa-Scottsdale, AZ (+3.7 percent), and 

Austin-Round Rock, TX, and Houston-The Woodlands-Sugar Land, TX (+3.5 percent each).

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In December, nonfarm payroll employment increased in 18 of the 38 metropolitan divisions over the 

year and was essentially unchanged in 20 divisions. The largest over-the-year increase in employment 

among the metropolitan divisions occurred in Dallas-Plano-Irving, TX (+88,600), followed by New 

York-Jersey City-White Plains, NY-NJ (+81,000), and Los Angeles-Long Beach-Glendale, CA

(+60,000). (See table 4.) 

The largest over-the-year percentage increases in employment occurred in San Rafael, CA (+3.7 

percent), and Dallas-Plano-Irving, TX, and Seattle-Bellevue-Everett, WA (+3.4 percent each).

_____________ 

The Regional and State Unemployment 2018 Annual Averages news release is scheduled to be 

released on Thursday, February 28, 2019, at 10:00 a.m. (EST). The State Employment and 

Unemployment news release for January 2019 is scheduled to be released on Monday, March 11, 

2019, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release 

for January 2019 is scheduled to be released on Friday, March 15, 2019, at 10:00 a.m. (EDT).
- 3 - 

Upcoming Changes to Local Area Unemployment Statistics Data 

Effective with the release of Regional and State Unemployment 2018 Annual Averages on Thursday, 

February 28, 2019, the civilian labor force and unemployment data for census regions and divisions and 

all states, the District of Columbia, and the modeled substate areas presented in tables 1 and 2 of this 

news release will be revised from 2014 to 2018 to incorporate updated inputs, new population controls, 

and reestimation of models. Subsequently, civilian labor force and unemployment estimates for all other 

metropolitan areas and metropolitan divisions will be revised to reflect updated inputs and adjustment to 

the new statewide estimates. These revised estimates will be published in conjunction with the March 

2019 State Employment and Unemployment news release on Friday, April 19, 2019. 

Upcoming Changes to Current Employment Statistics Data

Effective with the release of January 2019 estimates on Monday, March 11, 2019, all nonfarm payroll 

employment estimates for states and areas presented in tables 3 and 4 of this news release will be 

adjusted to 2018 benchmark levels. 

Not seasonally adjusted data beginning with April 2017 and seasonally adjusted data beginning with 

January 2014 are subject to revision. Some seasonally adjusted series may be revised back to 1990. 

Upcoming Change to Metropolitan Area Geography 

Effective with the January 2019 issuance of this news release on Friday, March 15, 2019, estimates will 

be included for Twin Falls, ID, which the U.S. Office of Management and Budget designated as a new 

metropolitan area in 2017. 
Technical Note

This release presents civilian labor force and unemployment 

data from the Local Area Unemployment Statistics (LAUS) 

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

and metropolitan New England City and Town Areas 

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

metropolitan and NECTA divisions also are presented. 

Nonfarm payroll employment estimates from the Current 

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

provided for the same areas. State estimates were previously 

published in the news release State Employment and 

Unemployment, and are republished in this release for ease of 

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

cooperative endeavors.

Civilian labor force and unemployment—from the 

LAUS program 

Definitions. The civilian labor force and unemployment 

data are based on the same concepts and definitions as those 

used for the official national estimates obtained from the 

Current Population Survey (CPS), a sample survey of 

households that is conducted for the Bureau of Labor Statistics 

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

measures employed persons and unemployed persons on a 

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

noninstitutional population 16 years of age and older. 

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

profit in the reference week (typically the week including the 

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

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

job from which they were temporarily absent, whether or not 

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

vacation. Unemployed persons are those who were not 

employed during the reference week (based on the definition 

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

period ending with the reference week, and were currently 

available for work; persons on layoff expecting recall need not 

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

labor force is the sum of employed and unemployed persons. 

The unemployment rate is the number of unemployed as a 

percent of the civilian labor force. 

Method of estimation. Estimates for states, the District 

of Columbia, the Los Angeles-Long Beach-Glendale 

metropolitan division, and New York City are produced using 

time-series models with real-time benchmarking to national 

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

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

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

improves the statistical basis of the estimation for these areas 

and provides important tools for analysis, such as measures of 

errors and seasonally adjusted series. For all other substate 

areas in this release, estimates are prepared through indirect 

estimation procedures using a building-block approach. 

Estimates of employed persons, which are based largely on 

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

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

Unemployment estimates are aggregates of persons previously 

employed in industries covered by state unemployment 

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

CPS. The substate estimates of employment and 

unemployment, which geographically exhaust the entire state, 

are adjusted proportionally to ensure that they add to the 

independently estimated model-based area totals. A detailed 

description of the estimation procedures is available from BLS 

upon request.

Annual revisions. Civilian labor force and 

unemployment data shown for the prior year reflect 

adjustments made at the beginning of each year, usually 

implemented with the issuance of January estimates. The 

adjusted model-based estimates typically reflect updated 

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

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

estimates then are re-estimated using updated inputs and 

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

2015, a new generation of time-series models was

implemented, resulting in the replacement of data back to the 

series beginnings. At the same time, enhancements were made 

to the substate estimation methodology, and more timely inputs 

from the American Community Survey were incorporated.

Employment—from the CES program 

Definitions. Employment data refer to persons on 

establishment payrolls who receive pay for any part of the pay 

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

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

those appearing on more than one payroll are counted on each 

payroll. Industries are classified on the basis of their principal 

activity in accordance with the 2017 version of the North 

American Industry Classification System. 

Method of estimation. CES State and Area employment 

data are produced using several estimation procedures. Where 

possible these data are produced using a "weighted link 

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

weighted employment to that of the previous-month weighted 

employment is computed from a sample of establishments 

reporting for both months. The estimates of employment for the 

current month are then obtained by multiplying these ratios by 

the previous month’s employment estimates. The weighted link 

relative technique is utilized for data series where the sample 

size meets certain statistical criteria.

For some employment series, the sample of 

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

use the direct sample estimates (described above), combined 

with forecasts of historical (benchmarked) data to decrease 

volatility in estimation. Two different models (Fay-Herriot 

Model and Small Domain Model) are used depending on the 

industry level being estimated. For more detailed information 

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

Annual revisions. Employment estimates are adjusted 

annually to a complete count of jobs, called benchmarks, 

derived principally from tax reports that are submitted by 

employers who are covered under state unemployment 

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

adjust the monthly estimates between the new benchmark and 

the preceding one and also to establish the level of employment 

for the new benchmark month. Thus, the benchmarking process 

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

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

subsequent months. 

Seasonal adjustment. Payroll employment data are 

seasonally adjusted for states, metropolitan areas, and 

metropolitan divisions at the total nonfarm level. For states, 

data are seasonally adjusted at the supersector level as well. 

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

once a year, coincident with annual benchmark adjustments.

Beginning with the release of January 2018 preliminary 

estimates, payroll employment data are seasonally adjusted 

concurrently, using all available estimates including those for 

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

Concurrent sample-based factors are created every month for 

the current month's preliminary estimate as well as the

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

were forecasted once annually at the beginning of the year and 

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

year.

Reliability of the estimates

The estimates presented in this release are based on 

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

are subject to sampling and other types of errors. Sampling 

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

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding.

Use of error measures

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

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

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

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

Employment estimates. Changes in metropolitan area 

nonfarm payroll employment are cited in the analysis of this 

release only if they have been determined to be statistically 

significant at the 90-percent confidence level. Measures of 

sampling error for the total nonfarm employment series are 

available for metropolitan areas and metropolitan divisions at 

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

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

available upon request. Measures of sampling error for states at 

the supersector level and for the private service-providing, 

goods-producing, total private and total nonfarm levels are 

available on the BLS website at

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

benchmark revisions is available online at 

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

Area definitions

The substate area data published in this release reflect the 

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

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

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

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

geographic definitions is available online at 

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

Additional information

Estimates of unadjusted and seasonally adjusted civilian

labor force and unemployment data for states and seven 

substate areas are available in the news release State 

Employment and Unemployment. Estimates of civilian labor 

force and unemployment for all states, metropolitan areas, 

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

areas used in the administration of various federal economic 

assistance programs are available online at www.bls.gov/lau/. 

Employment data from the CES program are available on the 

BLS website at www.bls.gov/sae/. 

Information in this release will be made available to 

sensory impaired individuals upon request. Voice phone: (202) 

691-5200; Federal Relay Service: (800) 877-8339.

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,161,741 2,219,313 2,150,786 2,202,871 74,457 75,448 73,328 77,573 3.4 3.4 3.4 3.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,351 46,366 45,160 46,185 1,764 1,866 1,735 1,914 3.9 4.0 3.8 4.1

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,861 76,194 73,629 75,724 2,284 2,343 2,195 2,393 3.1 3.1 3.0 3.2

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 531,905 547,198 530,515 543,924 16,678 17,008 16,199 17,281 3.1 3.1 3.1 3.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 90,382 93,448 90,001 92,494 2,943 2,968 2,995 3,093 3.3 3.2 3.3 3.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,448 70,493 68,153 69,957 2,248 2,207 2,225 2,252 3.3 3.1 3.3 3.2

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,659 62,534 61,087 62,157 2,206 2,240 2,178 2,300 3.6 3.6 3.6 3.7

Florence-Muscle Shoals. . . . . . . . . . . . . . . 64,508 66,365 63,717 65,728 2,398 2,402 2,447 2,605 3.7 3.6 3.8 4.0

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,860 43,331 42,790 43,327 1,530 1,560 1,503 1,589 3.6 3.6 3.5 3.7

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,735 227,961 216,297 226,125 6,591 6,701 6,377 6,747 3.0 2.9 2.9 3.0

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,237 189,727 185,118 189,671 7,553 7,560 7,589 7,925 4.1 4.0 4.1 4.2

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,087 174,876 171,485 174,090 5,722 5,911 5,642 6,076 3.3 3.4 3.3 3.5

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 113,436 115,979 112,753 115,180 3,773 3,721 3,615 3,739 3.3 3.2 3.2 3.2

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359,192 352,679 357,686 349,408 25,753 22,044 25,985 22,508 7.2 6.3 7.3 6.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 203,955 200,921 203,924 199,540 13,192 11,074 13,165 11,147 6.5 5.5 6.5 5.6

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,013 45,717 46,717 45,234 2,988 2,511 3,050 2,637 6.4 5.5 6.5 5.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,349,772 3,490,916 3,347,605 3,486,647 151,672 154,906 153,192 177,077 4.5 4.4 4.6 5.1

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,624 77,736 74,643 77,544 3,720 3,853 4,080 4,959 4.9 5.0 5.5 6.4

Lake Havasu City-Kingman. . . . . . . . . . . . 82,878 86,005 82,613 85,935 4,518 4,652 4,804 5,417 5.5 5.4 5.8 6.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,337,124 2,440,954 2,333,423 2,437,324 92,756 94,610 93,438 108,785 4.0 3.9 4.0 4.5

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,603 106,589 101,770 105,520 4,352 4,539 4,356 5,035 4.2 4.3 4.3 4.8

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,090 50,031 49,092 50,149 2,659 2,680 2,671 3,058 5.4 5.4 5.4 6.1

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477,348 495,696 478,935 494,931 20,241 20,627 20,325 23,676 4.2 4.2 4.2 4.8

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,215 100,366 96,283 100,737 14,366 15,008 13,889 15,489 15.1 15.0 14.4 15.4

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,352,672 1,349,752 1,342,354 1,344,817 44,046 45,047 48,463 49,184 3.3 3.3 3.6 3.7

Fayetteville-Springdale-Rogers. . . . . . . . . 274,486 275,930 270,541 272,975 6,888 6,802 7,326 7,270 2.5 2.5 2.7 2.7

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 119,233 117,220 118,045 116,445 4,694 3,976 4,904 4,324 3.9 3.4 4.2 3.7

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 39,407 39,143 39,164 39,136 1,409 1,512 1,542 1,606 3.6 3.9 3.9 4.1

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,371 64,892 63,720 64,483 1,771 1,810 1,894 1,969 2.8 2.8 3.0 3.1

Little Rock-North Little Rock-Conway. . . . 354,989 356,071 353,050 355,941 10,409 10,732 11,735 11,672 2.9 3.0 3.3 3.3

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,299 34,621 34,995 34,484 1,562 1,672 1,705 1,816 4.4 4.8 4.9 5.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,383,662 19,715,588 19,318,482 19,681,627 812,588 777,582 803,663 810,996 4.2 3.9 4.2 4.1

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 382,677 388,007 378,909 385,500 28,811 25,698 31,864 29,466 7.5 6.6 8.4 7.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,417 106,499 102,717 106,766 4,975 4,594 5,214 5,684 4.8 4.3 5.1 5.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,729 75,865 72,581 75,393 13,550 13,745 12,328 13,038 18.4 18.1 17.0 17.3

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447,026 454,437 445,933 455,329 34,794 31,297 35,973 34,228 7.8 6.9 8.1 7.5

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,062 57,579 56,850 57,924 4,395 4,040 4,774 4,723 7.7 7.0 8.4 8.2

Los Angeles-Long Beach-Anaheim. . . . . 6,778,807 6,848,051 6,758,527 6,827,958 271,223 285,879 258,337 285,764 4.0 4.2 3.8 4.2

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,081 60,732 61,258 62,306 4,136 3,797 4,580 4,401 6.9 6.3 7.5 7.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,224 118,950 115,295 118,510 8,822 7,946 10,135 9,709 7.6 6.7 8.8 8.2

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241,618 245,337 240,634 244,042 15,612 13,957 16,261 15,365 6.5 5.7 6.8 6.3

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,316 72,885 70,938 71,532 2,444 1,996 2,590 2,361 3.4 2.7 3.7 3.3

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,128 433,839 425,256 434,557 17,597 16,077 17,036 16,420 4.1 3.7 4.0 3.8

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,290 76,091 73,987 75,743 3,629 3,323 3,772 3,669 4.9 4.4 5.1 4.8

Riverside-San Bernardino-Ontario. . . . . . 2,052,623 2,096,392 2,050,338 2,093,005 91,018 82,538 86,205 82,944 4.4 3.9 4.2 4.0

Sacramento--Roseville--Arden-Arcade. . . 1,086,082 1,104,667 1,083,040 1,106,259 42,169 38,333 41,280 40,191 3.9 3.5 3.8 3.6

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 216,118 220,478 205,620 211,992 11,922 10,863 17,545 17,086 5.5 4.9 8.5 8.1

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,590,911 1,623,140 1,583,042 1,620,080 55,905 51,291 52,874 51,803 3.5 3.2 3.3 3.2

San Francisco-Oakland-Hayward. . . . . . . 2,586,405 2,641,536 2,582,425 2,647,281 73,821 66,704 70,587 67,041 2.9 2.5 2.7 2.5

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,077,637 1,113,278 1,078,824 1,115,934 30,669 26,959 29,460 27,505 2.8 2.4 2.7 2.5

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,972 145,426 139,923 142,504 4,414 3,927 4,241 4,060 3.1 2.7 3.0 2.8

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 143,152 145,849 141,333 144,163 6,813 5,971 7,928 7,636 4.8 4.1 5.6 5.3

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,985 220,294 213,790 218,080 8,494 7,484 9,090 8,766 3.9 3.4 4.3 4.0

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,119 268,434 262,817 268,011 7,810 6,675 7,487 6,991 3.0 2.5 2.8 2.6

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 324,104 331,812 325,110 332,640 19,962 18,216 20,770 20,191 6.2 5.5 6.4 6.1

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 210,175 212,498 208,826 213,173 8,701 7,632 8,588 8,162 4.1 3.6 4.1 3.8

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 201,885 206,452 202,360 206,453 18,705 17,765 20,672 19,820 9.3 8.6 10.2 9.6

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,600 74,206 73,647 74,217 5,087 4,725 5,691 5,579 6.9 6.4 7.7 7.5

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,032,759 3,123,449 3,031,829 3,130,637 87,030 105,579 89,514 120,048 2.9 3.4 3.0 3.8

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,120 195,553 189,048 194,860 4,681 5,642 4,800 6,353 2.5 2.9 2.5 3.3

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 343,456 362,220 341,600 362,668 11,301 14,230 11,665 16,453 3.3 3.9 3.4 4.5

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,612,353 1,648,560 1,607,274 1,648,629 44,586 53,820 45,913 60,989 2.8 3.3 2.9 3.7

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 198,303 206,277 196,349 205,101 4,875 5,909 4,898 6,644 2.5 2.9 2.5 3.2

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 75,316 76,870 74,943 76,620 2,704 3,099 3,052 3,742 3.6 4.0 4.1 4.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,170 166,718 160,310 165,552 4,184 5,025 4,276 5,741 2.6 3.0 2.7 3.5

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,398 76,462 75,134 76,331 3,320 3,853 3,458 4,514 4.4 5.0 4.6 5.9

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,902,380 1,926,113 1,895,645 1,923,181 77,595 58,372 75,196 62,295 4.1 3.0 4.0 3.2

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 465,216 471,577 462,497 470,637 18,995 14,376 18,152 15,180 4.1 3.0 3.9 3.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,199 109,187 107,260 109,415 3,405 2,678 3,367 2,945 3.2 2.5 3.1 2.7

Hartford-West Hartford-East Hartford. . . . 623,725 632,557 622,822 631,356 25,554 19,112 24,860 20,539 4.1 3.0 4.0 3.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 326,159 329,355 324,271 328,590 13,284 9,832 12,678 10,342 4.1 3.0 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

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 143,247 145,159 142,890 144,629 5,732 4,360 5,695 4,712 4.0 3.0 4.0 3.3

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,601 111,687 111,055 111,505 5,741 4,407 5,642 4,570 5.1 3.9 5.1 4.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477,363 484,731 477,137 488,154 19,340 14,419 19,425 14,782 4.1 3.0 4.1 3.0

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,499 79,363 78,421 79,823 3,307 2,464 3,268 2,504 4.2 3.1 4.2 3.1

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 183,822 185,500 184,462 187,419 10,217 8,524 11,618 9,813 5.6 4.6 6.3 5.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . 401,397 404,198 400,171 404,346 22,642 21,182 21,616 19,597 5.6 5.2 5.4 4.8

Washington-Arlington-Alexandria. . . . . . . 3,387,877 3,401,043 3,374,002 3,398,067 118,851 102,944 111,925 97,082 3.5 3.0 3.3 2.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,116,131 10,250,163 10,091,645 10,278,909 389,257 313,079 371,952 340,753 3.8 3.1 3.7 3.3

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 334,075 342,898 334,489 343,149 12,238 10,050 11,378 10,845 3.7 2.9 3.4 3.2

Crestview-Fort Walton Beach-Destin. . . . 125,772 129,091 124,588 127,791 3,939 3,283 3,750 3,586 3.1 2.5 3.0 2.8

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297,278 299,465 296,884 298,671 12,073 9,808 11,412 10,610 4.1 3.3 3.8 3.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 143,547 145,524 142,110 144,576 5,117 4,012 4,663 4,401 3.6 2.8 3.3 3.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,588 48,149 47,209 48,047 2,517 2,151 2,522 2,372 5.3 4.5 5.3 4.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 767,535 772,275 764,461 775,809 27,364 22,204 25,653 24,070 3.6 2.9 3.4 3.1

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 294,797 302,033 294,579 301,902 12,793 10,154 11,934 10,968 4.3 3.4 4.1 3.6

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,142,697 3,142,941 3,139,151 3,174,138 126,943 96,072 125,394 106,298 4.0 3.1 4.0 3.3

Naples-Immokalee-Marco Island. . . . . . . . 170,952 174,482 171,696 176,447 6,632 5,226 6,069 5,596 3.9 3.0 3.5 3.2

North Port-Sarasota-Bradenton. . . . . . . . . 363,471 369,124 361,817 368,870 12,778 10,715 11,957 11,523 3.5 2.9 3.3 3.1

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,840 136,066 131,914 136,221 6,095 4,979 5,814 5,378 4.6 3.7 4.4 3.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,309,937 1,358,815 1,312,511 1,358,231 45,675 36,955 42,832 40,321 3.5 2.7 3.3 3.0

Palm Bay-Melbourne-Titusville. . . . . . . . . 266,055 272,873 263,565 273,293 10,343 8,311 9,687 9,038 3.9 3.0 3.7 3.3

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,088 96,500 92,907 93,716 3,513 6,190 3,535 5,653 3.7 6.4 3.8 6.0

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 223,053 227,160 220,783 225,623 8,326 6,696 7,797 7,387 3.7 2.9 3.5 3.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 209,981 215,059 208,729 214,734 9,267 7,397 8,832 8,054 4.4 3.4 4.2 3.8

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,596 71,341 70,386 71,540 2,943 2,503 2,793 2,688 4.2 3.5 4.0 3.8

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,574 64,600 63,119 64,753 2,868 2,342 2,734 2,514 4.5 3.6 4.3 3.9

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,410 35,603 35,286 36,224 1,899 1,518 1,782 1,666 5.4 4.3 5.1 4.6

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 192,094 195,569 190,403 194,727 7,076 5,815 6,505 6,326 3.7 3.0 3.4 3.2

Tampa-St. Petersburg-Clearwater. . . . . . 1,516,947 1,533,574 1,510,641 1,531,562 55,116 45,320 51,985 49,279 3.6 3.0 3.4 3.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,154 30,853 30,085 30,907 1,641 1,408 1,587 1,531 5.4 4.6 5.3 5.0

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,088,573 5,122,164 5,090,476 5,137,448 215,282 171,378 218,200 192,827 4.2 3.3 4.3 3.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,753 69,052 68,904 68,883 3,404 2,976 3,381 3,195 5.0 4.3 4.9 4.6

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,453 105,660 100,971 103,672 4,047 3,170 3,984 3,535 4.0 3.0 3.9 3.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,056,669 3,076,144 3,056,722 3,097,603 124,288 97,059 125,582 110,713 4.1 3.2 4.1 3.6

Augusta-Richmond County. . . . . . . . . . . . . 268,315 268,491 270,651 270,475 12,016 9,501 12,368 10,497 4.5 3.5 4.6 3.9

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,485 53,003 52,719 52,871 2,257 1,737 2,300 1,996 4.3 3.3 4.4 3.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,241 126,244 125,462 126,847 6,084 4,947 6,228 5,593 4.9 3.9 5.0 4.4

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,761 61,188 61,067 61,843 3,256 2,562 3,450 3,075 5.4 4.2 5.6 5.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 101,478 104,310 101,733 104,350 3,557 2,731 3,527 3,058 3.5 2.6 3.5 2.9

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,582 33,622 33,617 33,736 1,574 1,215 1,608 1,363 4.7 3.6 4.8 4.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,566 105,593 105,858 105,738 4,955 4,080 4,994 4,343 4.7 3.9 4.7 4.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,356 44,283 44,320 44,461 1,986 1,629 1,992 1,977 4.5 3.7 4.5 4.4

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,986 182,825 184,906 183,341 7,330 5,814 7,368 6,575 4.0 3.2 4.0 3.6

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,258 66,308 64,927 66,078 2,758 2,229 2,768 2,474 4.2 3.4 4.3 3.7

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,913 85,837 85,063 85,180 3,700 3,746 3,786 3,354 4.4 4.4 4.5 3.9

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 683,241 681,820 682,638 676,807 14,520 17,757 12,014 15,500 2.1 2.6 1.8 2.3

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,323 85,123 85,513 84,669 1,900 2,229 1,522 1,935 2.2 2.6 1.8 2.3

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 472,077 471,612 471,688 468,609 9,667 11,631 8,075 10,147 2.0 2.5 1.7 2.2

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 843,194 855,275 840,982 858,219 25,158 22,056 24,269 24,198 3.0 2.6 2.9 2.8

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 352,084 358,467 351,551 360,557 10,264 8,874 9,461 9,486 2.9 2.5 2.7 2.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 75,957 77,516 75,749 78,018 2,812 2,423 2,943 2,863 3.7 3.1 3.9 3.7

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 68,756 69,481 68,636 69,706 1,766 1,481 1,605 1,546 2.6 2.1 2.3 2.2

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,933 32,727 31,945 32,720 1,009 1,000 986 1,095 3.2 3.1 3.1 3.3

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,656 43,324 42,808 43,611 1,236 1,063 1,188 1,129 2.9 2.5 2.8 2.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,494,157 6,521,202 6,464,968 6,448,956 296,032 270,283 302,301 284,267 4.6 4.1 4.7 4.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 96,703 98,436 95,373 95,979 3,535 3,920 3,481 4,347 3.7 4.0 3.6 4.5

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,150 60,809 59,046 59,479 2,578 2,800 2,533 3,069 4.3 4.6 4.3 5.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 120,865 124,014 119,719 121,330 4,747 5,146 4,437 5,345 3.9 4.1 3.7 4.4

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,915,077 4,902,696 4,894,663 4,857,913 226,042 185,699 231,734 193,509 4.6 3.8 4.7 4.0

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,815 34,396 33,613 33,985 1,917 1,904 1,907 2,165 5.7 5.5 5.7 6.4

Davenport-Moline-Rock Island1. . . . . . . . . 190,064 193,655 189,150 192,814 7,038 7,122 7,662 8,767 3.7 3.7 4.1 4.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,079 50,342 48,680 49,557 2,448 2,755 2,467 3,069 5.0 5.5 5.1 6.2

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,909 59,914 56,742 59,290 2,648 2,891 2,824 3,487 4.7 4.8 5.0 5.9

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175,467 179,041 174,815 176,606 8,134 8,677 8,417 10,122 4.6 4.8 4.8 5.7

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,226 172,224 164,825 167,791 7,928 15,944 8,026 10,510 4.8 9.3 4.9 6.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 108,819 110,449 108,369 108,970 4,202 4,612 4,213 5,403 3.9 4.2 3.9 5.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,310,187 3,392,898 3,280,820 3,372,001 105,283 123,819 100,908 114,342 3.2 3.6 3.1 3.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 77,240 77,335 75,572 76,077 2,713 3,037 2,326 2,724 3.5 3.9 3.1 3.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,377 46,176 44,141 45,924 1,080 1,236 1,021 1,151 2.4 2.7 2.3 2.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 111,944 117,653 112,104 117,369 2,664 3,516 2,372 3,311 2.4 3.0 2.1 2.8

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,997 164,620 160,568 162,866 4,737 5,370 4,437 5,006 2.9 3.3 2.8 3.1

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 211,340 218,769 209,676 217,559 6,156 6,996 5,729 6,474 2.9 3.2 2.7 3.0

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,037,598 1,068,822 1,029,258 1,062,644 31,035 35,809 29,290 32,660 3.0 3.4 2.8 3.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,061 42,370 37,981 40,561 1,222 3,505 1,152 1,472 3.2 8.3 3.0 3.6

Lafayette-West Lafayette. . . . . . . . . . . . . . 110,690 114,763 107,356 113,202 3,350 3,692 2,965 3,315 3.0 3.2 2.8 2.9

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,076 47,452 46,711 47,240 1,821 2,150 1,918 2,242 3.9 4.5 4.1 4.7

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,294 55,587 54,555 55,014 2,155 2,309 1,988 2,141 3.9 4.2 3.6 3.9

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,245 161,287 157,853 160,759 5,553 5,963 5,442 6,003 3.5 3.7 3.4 3.7

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 75,935 78,001 75,934 77,984 2,961 3,548 2,936 3,559 3.9 4.5 3.9 4.6

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,671,857 1,690,339 1,664,423 1,689,853 41,027 31,757 47,974 41,986 2.5 1.9 2.9 2.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,090 60,254 58,060 59,248 850 724 903 856 1.4 1.2 1.6 1.4

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 141,723 142,563 141,463 142,627 3,985 3,119 4,561 3,851 2.8 2.2 3.2 2.7

Des Moines-West Des Moines. . . . . . . . . 346,105 355,689 344,073 355,975 8,181 6,603 8,924 8,416 2.4 1.9 2.6 2.4

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,312 54,398 54,324 54,381 1,223 988 1,607 1,358 2.3 1.8 3.0 2.5

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,534 98,358 96,212 97,406 1,933 1,475 2,061 1,755 2.0 1.5 2.1 1.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,195 91,288 89,730 91,200 2,468 1,891 2,701 2,511 2.7 2.1 3.0 2.8

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 87,975 87,907 87,387 87,691 2,424 1,711 2,831 2,274 2.8 1.9 3.2 2.6

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,480,776 1,492,877 1,471,948 1,491,587 46,579 43,478 44,738 45,768 3.1 2.9 3.0 3.1

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,575 66,878 65,592 65,968 1,843 1,729 1,684 1,801 2.8 2.6 2.6 2.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,420 49,336 47,435 48,484 1,274 1,236 1,167 1,331 2.6 2.5 2.5 2.7

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,135 118,543 118,135 118,696 3,731 3,657 3,620 3,962 3.1 3.1 3.1 3.3

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305,253 309,740 304,501 309,534 11,075 9,992 10,687 10,391 3.6 3.2 3.5 3.4

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,043,061 2,064,521 2,038,066 2,054,677 78,663 72,812 77,872 77,857 3.9 3.5 3.8 3.8

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 82,707 84,247 82,586 83,754 2,763 2,623 2,678 2,802 3.3 3.1 3.2 3.3

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,834 67,121 65,418 66,705 2,444 2,336 2,385 2,493 3.7 3.5 3.6 3.7

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 272,051 275,171 270,791 273,538 8,146 7,519 7,898 8,035 3.0 2.7 2.9 2.9

Louisville/Jefferson County. . . . . . . . . . . . . 660,413 665,080 659,783 663,187 21,982 22,493 21,534 23,013 3.3 3.4 3.3 3.5

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,531 55,762 55,486 55,582 2,105 1,814 2,096 1,931 3.8 3.3 3.8 3.5

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,118,485 2,106,892 2,103,197 2,095,299 89,197 94,401 84,742 90,463 4.2 4.5 4.0 4.3

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,658 63,609 64,424 63,489 2,972 3,195 2,924 3,092 4.6 5.0 4.5 4.9

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 422,765 421,480 418,468 416,996 15,597 16,829 14,654 16,068 3.7 4.0 3.5 3.9

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,601 55,638 55,365 55,722 2,505 2,713 2,449 2,756 4.5 4.9 4.4 4.9

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 88,561 86,482 87,962 85,554 3,859 3,933 3,665 3,621 4.4 4.5 4.2 4.2

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,663 210,170 210,893 209,429 9,449 9,554 8,928 9,005 4.4 4.5 4.2 4.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 115,289 116,186 113,684 114,928 3,846 3,927 3,613 3,817 3.3 3.4 3.2 3.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,725 80,408 80,171 80,064 3,527 4,013 3,373 3,936 4.4 5.0 4.2 4.9

New Orleans-Metairie. . . . . . . . . . . . . . . . . 599,646 600,877 596,570 599,617 23,802 25,204 22,334 23,611 4.0 4.2 3.7 3.9

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,729 185,132 186,876 184,071 8,588 9,051 8,096 8,608 4.6 4.9 4.3 4.7

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 695,326 697,637 692,068 692,987 20,619 22,654 18,043 22,190 3.0 3.2 2.6 3.2

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,791 70,662 70,344 69,901 2,077 2,311 1,821 2,290 2.9 3.3 2.6 3.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,258 56,412 55,907 55,707 1,540 1,787 1,298 1,663 2.7 3.2 2.3 3.0

Portland-South Portland. . . . . . . . . . . . . . . 207,983 210,675 206,896 208,986 5,060 5,714 4,092 5,127 2.4 2.7 2.0 2.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,217,600 3,219,386 3,198,599 3,214,609 128,111 112,921 122,544 110,801 4.0 3.5 3.8 3.4

Baltimore-Columbia-Towson. . . . . . . . . . . 1,503,498 1,505,364 1,491,100 1,502,171 60,644 53,001 57,615 51,880 4.0 3.5 3.9 3.5

California-Lexington Park. . . . . . . . . . . . . . 55,036 55,081 54,858 54,954 2,132 1,831 1,994 1,681 3.9 3.3 3.6 3.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,514 44,446 44,452 44,230 2,280 2,086 2,435 2,204 5.1 4.7 5.5 5.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 131,885 134,006 131,761 133,899 5,198 4,875 5,204 4,749 3.9 3.6 3.9 3.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,644,703 3,812,500 3,636,531 3,821,903 110,579 98,370 111,847 103,552 3.0 2.6 3.1 2.7

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 119,881 123,813 118,582 123,964 4,507 4,005 5,047 4,711 3.8 3.2 4.3 3.8

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,693,215 2,820,536 2,687,037 2,824,194 75,380 66,707 74,427 67,766 2.8 2.4 2.8 2.4

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 77,980 81,275 78,037 81,619 2,686 2,356 2,747 2,651 3.4 2.9 3.5 3.2

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 84,022 87,653 83,702 87,886 3,875 3,269 3,955 3,531 4.6 3.7 4.7 4.0

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,793 43,814 43,142 44,339 1,557 1,460 1,695 1,671 3.6 3.3 3.9 3.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 369,934 382,691 368,225 383,894 13,438 11,902 13,521 12,747 3.6 3.1 3.7 3.3

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 352,207 367,838 352,220 368,885 11,302 10,077 11,423 10,762 3.2 2.7 3.2 2.9

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,886,970 4,890,837 4,875,550 4,884,472 199,719 174,172 216,550 197,257 4.1 3.6 4.4 4.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 196,827 197,571 194,270 195,123 6,446 5,228 6,010 5,305 3.3 2.6 3.1 2.7

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,476 63,425 63,221 63,169 2,883 2,240 3,128 2,593 4.5 3.5 4.9 4.1

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,922 50,603 50,683 50,288 2,354 1,866 2,777 2,264 4.6 3.7 5.5 4.5

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,113,382 2,113,575 2,111,754 2,125,407 82,264 80,959 86,219 88,601 3.9 3.8 4.1 4.2

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,901 181,845 182,447 180,822 9,381 7,378 10,434 8,392 5.1 4.1 5.7 4.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 574,214 581,240 573,055 577,903 19,114 14,583 20,073 16,448 3.3 2.5 3.5 2.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,757 73,755 74,214 73,314 3,114 2,462 3,271 2,818 4.2 3.3 4.4 3.8

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 168,693 168,243 168,443 167,202 6,838 5,230 7,508 6,118 4.1 3.1 4.5 3.7

Lansing-East Lansing. . . . . . . . . . . . . . . . . 251,951 254,199 249,000 249,715 9,420 7,989 9,710 7,878 3.7 3.1 3.9 3.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,201 39,910 39,945 39,747 1,677 1,290 1,852 1,509 4.2 3.2 4.6 3.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,660 77,057 75,868 76,077 3,058 2,974 3,125 3,028 4.0 3.9 4.1 4.0

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 78,018 76,999 77,682 76,798 3,867 2,925 4,096 3,339 5.0 3.8 5.3 4.3

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 72,964 73,034 72,764 72,357 3,321 2,604 3,698 3,129 4.6 3.6 5.1 4.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,792 88,268 87,276 87,588 4,293 3,430 4,648 3,938 4.9 3.9 5.3 4.5

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,065,061 3,076,659 3,061,445 3,089,811 85,587 67,860 103,858 97,928 2.8 2.2 3.4 3.2

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,650 144,664 144,068 144,387 5,688 4,375 6,305 5,660 3.9 3.0 4.4 3.9

Mankato-North Mankato. . . . . . . . . . . . . . . 62,053 63,064 61,495 63,634 1,245 1,034 1,575 1,573 2.0 1.6 2.6 2.5

Minneapolis-St. Paul-Bloomington. . . . . . 1,990,242 2,007,351 1,983,313 2,008,040 50,544 40,942 58,690 55,584 2.5 2.0 3.0 2.8

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,257 119,635 121,410 120,953 2,766 2,263 3,483 3,348 2.3 1.9 2.9 2.8

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,526 112,682 112,593 113,242 3,086 2,488 4,058 3,856 2.7 2.2 3.6 3.4

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,275,900 1,275,304 1,277,300 1,273,890 54,914 52,874 56,337 60,490 4.3 4.1 4.4 4.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 163,820 162,830 163,798 163,010 7,378 7,062 7,597 8,091 4.5 4.3 4.6 5.0

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 69,409 70,190 69,352 69,994 2,524 2,494 2,601 2,870 3.6 3.6 3.8 4.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272,888 272,220 273,189 271,761 10,192 9,881 10,198 11,133 3.7 3.6 3.7 4.1

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,031,261 3,045,837 3,020,519 3,043,803 94,198 76,535 99,395 92,824 3.1 2.5 3.3 3.0

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,020 48,567 48,119 48,607 1,464 1,161 1,564 1,404 3.0 2.4 3.3 2.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,465 98,720 97,854 98,566 2,220 1,744 2,183 2,101 2.3 1.8 2.2 2.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 73,881 73,542 73,213 72,923 1,913 1,492 1,987 1,858 2.6 2.0 2.7 2.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,349 84,631 84,277 84,514 2,392 1,918 2,406 2,248 2.8 2.3 2.9 2.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,125,441 1,138,357 1,123,293 1,137,463 35,583 30,893 36,577 34,745 3.2 2.7 3.3 3.1

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,820 65,706 64,821 65,672 1,794 1,480 1,845 1,844 2.8 2.3 2.8 2.8

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,451,968 1,464,164 1,444,413 1,466,418 47,474 42,799 48,434 49,477 3.3 2.9 3.4 3.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 227,831 231,531 228,709 232,491 6,202 4,945 6,300 6,026 2.7 2.1 2.8 2.6

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 524,065 526,398 522,394 525,272 21,236 18,724 22,008 20,489 4.1 3.6 4.2 3.9

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,253 86,665 86,898 87,078 3,040 2,720 3,110 2,959 3.5 3.1 3.6 3.4

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,249 37,867 38,075 37,949 1,482 1,273 1,491 1,408 3.9 3.4 3.9 3.7

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,735 63,091 62,367 63,254 2,172 1,978 2,461 2,353 3.5 3.1 3.9 3.7

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,005,855 1,024,819 1,001,779 1,025,742 25,431 24,694 28,001 26,645 2.5 2.4 2.8 2.6

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 42,974 43,662 42,870 43,830 1,151 1,133 1,329 1,243 2.7 2.6 3.1 2.8

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,743 182,093 177,836 181,619 4,048 3,998 4,390 4,164 2.3 2.2 2.5 2.3

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 480,374 490,620 478,265 492,493 12,515 12,104 13,629 13,156 2.6 2.5 2.8 2.7

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,476,492 1,533,697 1,476,211 1,531,376 68,989 63,660 69,474 65,897 4.7 4.2 4.7 4.3

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,897 26,485 26,054 26,523 1,183 1,086 1,217 1,183 4.6 4.1 4.7 4.5

Las Vegas-Henderson-Paradise. . . . . . . . 1,083,795 1,120,163 1,082,372 1,121,105 53,358 49,026 53,769 50,411 4.9 4.4 5.0 4.5

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245,031 259,962 245,311 258,836 9,058 8,438 9,022 8,902 3.7 3.2 3.7 3.4

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 744,516 760,662 740,737 760,795 17,953 16,511 16,849 15,837 2.4 2.2 2.3 2.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 85,437 87,320 84,788 86,782 1,883 1,740 1,695 1,691 2.2 2.0 2.0 1.9

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,643 119,371 115,281 119,355 2,728 2,495 2,503 2,325 2.3 2.1 2.2 1.9

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 76,401 78,207 75,802 77,713 1,699 1,643 1,571 1,523 2.2 2.1 2.1 2.0

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,493,166 4,474,591 4,479,374 4,500,526 194,923 138,563 186,168 162,678 4.3 3.1 4.2 3.6

Atlantic City-Hammonton. . . . . . . . . . . . . . 120,053 121,222 120,473 122,103 8,038 5,242 8,110 6,526 6.7 4.3 6.7 5.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 43,631 44,084 43,543 44,693 4,852 3,426 5,328 4,463 11.1 7.8 12.2 10.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,006 201,280 198,071 202,296 7,573 5,410 7,144 6,295 3.8 2.7 3.6 3.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 67,213 65,343 67,338 65,847 4,417 3,046 4,643 3,858 6.6 4.7 6.9 5.9

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 938,165 957,307 937,403 960,717 53,171 43,833 51,696 46,131 5.7 4.6 5.5 4.8

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 431,959 443,744 430,911 444,200 23,024 19,032 22,096 19,764 5.3 4.3 5.1 4.4

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,627 54,212 53,564 54,350 3,282 2,641 3,281 2,887 6.1 4.9 6.1 5.3

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 93,835 94,896 94,214 95,377 5,908 5,034 5,929 5,445 6.3 5.3 6.3 5.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,880 75,456 73,571 74,847 3,545 2,928 3,379 3,007 4.8 3.9 4.6 4.0

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,636,664 9,733,303 9,586,148 9,744,236 427,162 338,977 424,725 366,717 4.4 3.5 4.4 3.8

Albany-Schenectady-Troy. . . . . . . . . . . . . . 448,972 456,707 445,967 457,216 18,757 13,948 18,846 15,168 4.2 3.1 4.2 3.3

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,478 108,079 106,915 108,458 5,671 3,990 5,906 4,631 5.3 3.7 5.5 4.3

Buffalo-Cheektowaga-Niagara Falls. . . . . 545,666 553,487 542,119 556,389 28,408 20,128 29,731 22,739 5.2 3.6 5.5 4.1

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,296 35,266 35,087 35,236 1,889 1,270 1,932 1,421 5.4 3.6 5.5 4.0

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,328 60,704 59,016 61,022 3,052 2,239 3,430 2,681 5.1 3.7 5.8 4.4

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,934 52,851 50,099 52,592 2,201 1,521 1,986 1,559 4.3 2.9 4.0 3.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,317 90,181 87,559 90,336 3,931 2,767 3,920 3,078 4.5 3.1 4.5 3.4

New York-Newark-Jersey City. . . . . . . . . . 10,042,609 10,075,973 10,004,301 10,097,793 418,637 333,317 402,975 362,747 4.2 3.3 4.0 3.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 520,604 530,041 518,223 530,418 25,528 18,124 25,878 20,251 4.9 3.4 5.0 3.8

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,834 310,849 303,285 311,930 15,306 10,896 15,785 12,505 5.0 3.5 5.2 4.0

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 128,164 130,095 127,185 130,448 6,697 4,843 7,005 5,624 5.2 3.7 5.5 4.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,802 44,971 44,552 44,918 3,001 2,138 3,257 2,510 6.7 4.8 7.3 5.6

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,966,393 4,994,533 4,927,249 4,979,245 222,302 172,558 213,913 187,253 4.5 3.5 4.3 3.8

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,697 230,088 229,703 230,662 8,318 6,488 8,077 7,256 3.6 2.8 3.5 3.1

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,004 80,618 79,511 80,231 3,357 2,599 3,197 2,861 4.2 3.2 4.0 3.6

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,330,312 1,345,498 1,325,794 1,343,634 56,144 42,931 54,028 46,012 4.2 3.2 4.1 3.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 296,876 299,686 293,411 298,927 11,658 9,116 11,149 9,917 3.9 3.0 3.8 3.3

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,843 148,469 147,423 148,870 8,478 6,823 8,166 7,365 5.7 4.6 5.5 4.9

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,806 52,342 52,799 52,586 2,674 2,050 2,567 2,195 5.1 3.9 4.9 4.2

Greensboro-High Point. . . . . . . . . . . . . . . . 370,369 372,911 366,857 369,553 17,453 13,540 16,710 14,433 4.7 3.6 4.6 3.9

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,728 89,155 89,043 88,954 4,285 3,305 4,072 3,541 4.8 3.7 4.6 4.0

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 173,836 176,714 172,452 175,202 7,261 5,649 6,960 6,299 4.2 3.2 4.0 3.6

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,183 64,438 63,730 64,701 3,327 2,707 3,173 2,915 5.2 4.2 5.0 4.5

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,414 51,205 51,038 51,023 2,458 2,084 2,374 2,203 4.8 4.1 4.7 4.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703,860 715,411 696,216 712,202 27,624 21,334 26,356 23,237 3.9 3.0 3.8 3.3

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,918 64,393 65,155 64,146 4,275 3,068 4,079 3,219 6.5 4.8 6.3 5.0

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

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 146,804 146,369 144,433 144,997 6,354 5,264 6,170 5,581 4.3 3.6 4.3 3.8

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 325,736 328,672 323,295 327,665 13,927 10,771 13,375 11,726 4.3 3.3 4.1 3.6

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 408,808 397,181 406,978 396,398 9,368 8,790 10,669 9,563 2.3 2.2 2.6 2.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,465 67,330 68,652 67,633 1,663 1,618 1,952 1,833 2.4 2.4 2.8 2.7

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,649 134,986 137,092 135,806 2,852 2,590 3,414 3,151 2.1 1.9 2.5 2.3

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,108 55,290 56,018 55,196 1,315 1,134 1,550 1,376 2.3 2.1 2.8 2.5

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,766,426 5,756,717 5,732,467 5,741,917 251,694 237,120 259,783 272,863 4.4 4.1 4.5 4.8

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362,945 362,589 362,294 363,805 16,529 14,992 17,240 17,677 4.6 4.1 4.8 4.9

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 201,043 199,625 200,178 198,913 9,478 8,833 9,946 10,368 4.7 4.4 5.0 5.2

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,104,352 1,112,418 1,099,941 1,112,523 42,471 39,318 42,151 43,965 3.8 3.5 3.8 4.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,020,176 1,033,690 1,005,220 1,020,599 46,137 45,850 48,039 49,869 4.5 4.4 4.8 4.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,078,142 1,080,438 1,080,007 1,083,998 40,000 37,870 40,272 43,554 3.7 3.5 3.7 4.0

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393,646 388,687 394,624 389,354 16,567 15,353 16,747 17,739 4.2 3.9 4.2 4.6

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,873 47,561 48,828 47,767 2,106 1,864 2,160 2,239 4.3 3.9 4.4 4.7

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,865 52,706 52,962 52,853 2,691 2,365 2,802 2,842 5.1 4.5 5.3 5.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,631 63,529 63,483 63,627 2,796 2,607 2,826 3,077 4.4 4.1 4.5 4.8

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,464 302,255 303,401 302,518 14,050 13,836 14,510 15,520 4.6 4.6 4.8 5.1

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,446 49,938 50,282 49,896 3,131 2,684 3,221 2,926 6.2 5.4 6.4 5.9

Youngstown-Warren-Boardman. . . . . . . . 243,474 239,542 241,345 239,244 13,679 12,747 13,976 14,382 5.6 5.3 5.8 6.0

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,854,292 1,848,439 1,840,707 1,821,813 71,883 52,727 72,319 54,941 3.9 2.9 3.9 3.0

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,598 27,326 27,411 27,062 971 703 948 739 3.5 2.6 3.5 2.7

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,210 51,621 51,816 50,937 2,203 1,765 2,173 1,759 4.2 3.4 4.2 3.5

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 677,982 681,151 674,115 672,568 23,574 17,941 23,654 18,616 3.5 2.6 3.5 2.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485,273 486,903 483,245 481,927 19,749 14,108 19,793 14,682 4.1 2.9 4.1 3.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,127,353 2,122,967 2,111,916 2,106,593 83,663 84,990 81,190 86,547 3.9 4.0 3.8 4.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,679 59,234 58,513 58,515 2,615 2,747 2,556 2,706 4.5 4.6 4.4 4.6

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 94,778 96,189 93,692 95,899 3,906 3,934 4,008 4,309 4.1 4.1 4.3 4.5

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,087 48,613 48,595 48,050 1,423 1,477 1,342 1,423 2.9 3.0 2.8 3.0

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,377 184,134 184,824 182,636 7,847 7,864 7,516 7,930 4.2 4.3 4.1 4.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,658 35,736 35,426 35,574 1,793 1,930 1,842 2,031 5.0 5.4 5.2 5.7

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,271 105,887 105,089 104,997 4,527 4,762 4,403 4,928 4.3 4.5 4.2 4.7

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,328,228 1,333,418 1,324,396 1,329,963 49,594 49,668 48,050 50,283 3.7 3.7 3.6 3.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204,232 203,156 202,072 199,854 8,258 8,487 7,930 8,582 4.0 4.2 3.9 4.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,392,642 6,457,129 6,358,094 6,456,636 280,809 245,004 278,310 255,096 4.4 3.8 4.4 4.0

Allentown-Bethlehem-Easton. . . . . . . . . . . 434,157 437,283 429,942 437,716 19,077 17,119 18,458 17,647 4.4 3.9 4.3 4.0

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,192 59,966 58,860 59,794 2,489 2,249 2,518 2,374 4.2 3.8 4.3 4.0

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,439 42,573 42,101 42,399 1,816 1,597 1,961 1,867 4.3 3.8 4.7 4.4

Chambersburg-Waynesboro. . . . . . . . . . . 75,658 77,166 75,954 77,612 2,887 2,503 2,867 2,551 3.8 3.2 3.8 3.3

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,010 81,594 80,712 81,769 4,395 3,991 4,322 4,079 5.4 4.9 5.4 5.0

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,156 128,655 128,656 127,973 6,561 5,225 6,605 5,671 5.0 4.1 5.1 4.4

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,846 56,351 54,880 56,144 1,748 1,554 1,766 1,608 3.2 2.8 3.2 2.9

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 292,943 297,176 291,194 297,448 11,011 9,835 10,965 9,855 3.8 3.3 3.8 3.3

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 59,299 59,340 58,819 59,558 3,030 2,613 3,112 2,897 5.1 4.4 5.3 4.9

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 275,553 281,783 276,098 282,283 9,342 8,437 9,114 8,519 3.4 3.0 3.3 3.0

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,844 70,391 69,766 70,511 2,739 2,379 2,637 2,550 3.9 3.4 3.8 3.6

Philadelphia-Camden-Wilmington. . . . . . . 3,091,219 3,117,829 3,072,899 3,127,814 135,247 111,851 129,057 114,986 4.4 3.6 4.2 3.7

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,206,803 1,212,233 1,200,452 1,209,534 53,044 44,662 53,541 47,713 4.4 3.7 4.5 3.9

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,398 214,002 209,796 213,873 8,785 7,965 8,371 8,121 4.2 3.7 4.0 3.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . 280,169 282,693 278,144 281,143 13,623 12,670 13,833 13,439 4.9 4.5 5.0 4.8

State College. . . . . . . . . . . . . . . . . . . . . . . . 80,253 80,833 79,021 79,418 2,571 2,230 2,555 2,445 3.2 2.8 3.2 3.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,004 55,880 56,590 56,268 2,825 2,413 3,050 2,715 5.0 4.3 5.4 4.8

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 232,623 237,274 231,412 236,513 9,010 7,972 8,686 7,955 3.9 3.4 3.8 3.4

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 559,063 562,607 556,897 562,008 23,787 20,885 23,412 21,388 4.3 3.7 4.2 3.8

Providence-Warwick. . . . . . . . . . . . . . . . . . 687,722 696,747 685,055 696,587 28,027 24,779 27,946 25,641 4.1 3.6 4.1 3.7

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,304,383 2,309,103 2,300,845 2,321,824 92,499 72,593 96,152 75,871 4.0 3.1 4.2 3.3

Charleston-North Charleston. . . . . . . . . . . 376,973 379,702 373,329 379,429 12,691 10,019 12,958 10,588 3.4 2.6 3.5 2.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 398,692 397,804 398,003 400,750 16,170 11,998 16,456 12,379 4.1 3.0 4.1 3.1

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,413 94,641 94,710 95,044 4,266 3,374 4,476 3,496 4.5 3.6 4.7 3.7

Greenville-Anderson-Mauldin. . . . . . . . . . . 424,112 423,439 423,770 427,200 15,020 12,031 15,453 12,369 3.5 2.8 3.6 2.9

Hilton Head Island-Bluffton-Beaufort. . . . 85,049 86,349 84,654 86,202 3,191 2,490 3,278 2,545 3.8 2.9 3.9 3.0

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,288 192,256 186,457 192,174 9,581 8,023 10,713 9,215 5.0 4.2 5.7 4.8

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 158,368 157,622 158,490 158,123 5,955 4,530 6,121 4,641 3.8 2.9 3.9 2.9

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,760 43,772 43,797 44,103 2,159 1,612 2,207 1,638 4.9 3.7 5.0 3.7

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 456,151 459,971 453,465 458,303 14,904 12,968 15,962 13,708 3.3 2.8 3.5 3.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 73,669 75,227 72,653 74,587 2,600 2,301 2,694 2,335 3.5 3.1 3.7 3.1

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 151,170 152,951 149,739 152,386 4,201 3,540 4,399 3,796 2.8 2.3 2.9 2.5

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,210,614 3,261,890 3,202,657 3,253,151 101,299 107,695 98,979 98,458 3.2 3.3 3.1 3.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 269,091 272,283 268,117 271,018 9,015 8,663 8,952 8,427 3.4 3.2 3.3 3.1

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,686 114,352 110,843 114,018 4,285 4,321 4,123 4,035 3.8 3.8 3.7 3.5

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,526 60,039 60,259 60,866 1,842 2,018 1,793 1,822 3.1 3.4 3.0 3.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,647 64,784 63,776 64,768 2,252 2,265 2,182 2,071 3.5 3.5 3.4 3.2

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 90,100 90,686 89,953 90,727 3,146 3,309 3,106 3,090 3.5 3.6 3.5 3.4

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,789 139,430 136,440 139,213 4,801 4,678 4,682 4,633 3.5 3.4 3.4 3.3

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420,225 421,816 416,712 420,603 12,446 13,305 12,017 11,936 3.0 3.2 2.9 2.8

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 636,556 645,689 635,161 643,207 23,516 24,561 23,226 23,622 3.7 3.8 3.7 3.7

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,453 52,477 51,154 52,417 1,780 1,856 1,701 1,685 3.5 3.5 3.3 3.2

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017,938 1,040,567 1,015,902 1,037,452 25,474 27,520 24,250 24,228 2.5 2.6 2.4 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,613,780 13,937,051 13,598,061 13,976,348 515,473 482,539 501,845 504,658 3.8 3.5 3.7 3.6

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,089 77,145 75,877 77,377 2,487 2,370 2,360 2,446 3.3 3.1 3.1 3.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,626 134,170 131,511 134,047 3,469 3,397 3,264 3,479 2.6 2.5 2.5 2.6

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,166,201 1,203,767 1,164,240 1,207,936 32,650 32,389 31,139 32,975 2.8 2.7 2.7 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 174,000 171,422 173,771 172,228 11,414 9,141 11,537 10,168 6.6 5.3 6.6 5.9

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 164,128 166,374 164,111 167,357 9,726 8,767 9,743 9,652 5.9 5.3 5.9 5.8

College Station-Bryan. . . . . . . . . . . . . . . . . 133,213 135,876 131,772 134,501 3,749 3,614 3,562 3,763 2.8 2.7 2.7 2.8

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 206,883 208,905 206,176 209,187 11,363 8,957 10,884 9,497 5.5 4.3 5.3 4.5

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,841,732 3,946,654 3,827,120 3,962,576 124,815 124,989 120,795 128,925 3.2 3.2 3.2 3.3

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356,543 362,473 355,795 363,598 14,769 14,059 14,453 14,581 4.1 3.9 4.1 4.0

Houston-The Woodlands-Sugar Land. . . 3,340,160 3,442,613 3,343,410 3,453,216 147,296 129,598 144,195 135,422 4.4 3.8 4.3 3.9

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,477 179,995 174,626 180,314 6,715 6,771 6,368 7,033 3.8 3.8 3.6 3.9

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,929 115,710 114,790 116,571 4,032 4,013 3,908 4,387 3.5 3.5 3.4 3.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,249 98,124 96,993 98,012 4,164 3,705 3,999 3,838 4.3 3.8 4.1 3.9

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,751 165,894 160,924 165,847 4,496 4,497 4,327 4,665 2.8 2.7 2.7 2.8

McAllen-Edinburg-Mission. . . . . . . . . . . . . 340,994 345,504 343,867 351,108 21,648 20,111 22,862 23,513 6.3 5.8 6.6 6.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,673 99,807 94,704 100,757 2,289 2,076 2,141 2,131 2.4 2.1 2.3 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,553 80,621 79,431 80,908 2,552 2,058 2,403 2,138 3.2 2.6 3.0 2.6

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,809 55,986 54,719 55,969 1,714 1,705 1,612 1,757 3.1 3.0 2.9 3.1

San Antonio-New Braunfels. . . . . . . . . . . . 1,171,092 1,187,448 1,171,978 1,188,172 36,846 36,521 35,143 37,688 3.1 3.1 3.0 3.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,171 64,279 62,045 64,158 1,945 1,900 1,844 1,921 3.1 3.0 3.0 3.0

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,790 65,520 64,594 65,309 2,613 3,107 2,609 3,147 4.0 4.7 4.0 4.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,398 110,471 106,787 110,590 3,825 3,730 3,708 3,862 3.6 3.4 3.5 3.5

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,885 45,328 45,778 45,288 1,961 1,619 1,803 1,650 4.3 3.6 3.9 3.6

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,133 125,921 124,032 125,910 4,357 4,089 4,082 4,209 3.5 3.2 3.3 3.3

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,723 65,569 64,658 65,705 2,123 2,066 2,005 2,162 3.3 3.2 3.1 3.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,579,016 1,576,366 1,577,752 1,574,895 43,482 43,520 44,924 45,411 2.8 2.8 2.8 2.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,824 71,353 70,736 70,464 1,606 1,673 1,599 1,729 2.3 2.3 2.3 2.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 328,075 324,774 326,295 324,579 9,671 9,085 9,683 9,502 2.9 2.8 3.0 2.9

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 304,499 306,296 304,146 304,414 7,316 7,610 7,485 7,880 2.4 2.5 2.5 2.6

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,319 73,650 71,500 73,023 2,120 2,263 2,301 2,427 2.9 3.1 3.2 3.3

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 662,443 659,128 661,109 660,018 17,469 17,840 17,971 18,221 2.6 2.7 2.7 2.8

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344,178 342,116 342,891 340,965 9,085 7,848 8,556 7,681 2.6 2.3 2.5 2.3

Burlington-South Burlington. . . . . . . . . . . . 125,249 124,427 123,521 123,241 2,781 2,370 2,402 2,170 2.2 1.9 1.9 1.8

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,290,731 4,336,348 4,274,412 4,332,814 146,405 116,953 142,929 113,181 3.4 2.7 3.3 2.6

Blacksburg-Christiansburg-Radford. . . . . 89,994 91,824 89,477 91,449 3,340 2,618 3,058 2,422 3.7 2.9 3.4 2.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,984 123,586 119,232 123,140 3,625 2,956 3,401 2,770 3.0 2.4 2.9 2.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,690 66,878 65,646 67,062 2,249 1,784 2,036 1,638 3.4 2.7 3.1 2.4

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,076 123,995 121,659 123,634 4,795 3,711 4,662 3,483 3.9 3.0 3.8 2.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 672,036 681,292 669,505 679,381 24,422 19,354 24,065 18,840 3.6 2.8 3.6 2.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,836 158,674 155,015 158,189 5,388 4,129 5,259 3,903 3.5 2.6 3.4 2.5

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 58,754 59,998 58,679 59,998 1,915 1,522 1,878 1,435 3.3 2.5 3.2 2.4

Virginia Beach-Norfolk-Newport News. . . 839,652 848,432 834,501 847,145 32,045 25,631 31,551 25,377 3.8 3.0 3.8 3.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,395 73,102 70,626 72,902 2,167 1,857 2,105 1,827 3.0 2.5 3.0 2.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,755,206 3,831,119 3,748,141 3,836,549 174,366 169,253 182,468 181,399 4.6 4.4 4.9 4.7

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,021 114,935 111,784 115,192 5,129 5,237 5,570 5,764 4.6 4.6 5.0 5.0

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 123,113 124,990 124,095 127,040 5,698 5,650 6,077 6,169 4.6 4.5 4.9 4.9

Kennewick-Richland. . . . . . . . . . . . . . . . . . 138,051 141,395 137,159 141,490 7,390 7,327 9,090 9,035 5.4 5.2 6.6 6.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,388 47,320 46,608 47,740 2,661 2,629 2,924 2,930 5.7 5.6 6.3 6.1

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,596 60,816 59,418 61,005 3,038 3,101 3,445 3,458 5.1 5.1 5.8 5.7

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 137,948 139,702 138,027 140,719 6,354 6,497 6,938 7,048 4.6 4.7 5.0 5.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,087,776 2,129,170 2,089,705 2,131,466 88,933 82,219 84,085 80,150 4.3 3.9 4.0 3.8

Spokane-Spokane Valley. . . . . . . . . . . . . . 268,176 269,848 266,264 272,793 13,469 13,619 15,686 16,289 5.0 5.0 5.9 6.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 32,548 32,916 31,128 31,933 1,440 1,418 1,672 1,712 4.4 4.3 5.4 5.4

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 62,990 65,063 61,896 64,580 3,120 3,196 3,711 3,908 5.0 4.9 6.0 6.1

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,301 131,430 121,128 128,884 7,481 8,463 9,842 10,653 6.1 6.4 8.1 8.3

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 778,514 777,767 773,775 774,292 38,899 36,022 40,372 37,262 5.0 4.6 5.2 4.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,883 44,113 44,618 44,032 2,604 2,342 2,623 2,370 5.8 5.3 5.9 5.4

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 94,695 93,160 94,473 93,130 4,922 4,378 4,977 4,391 5.2 4.7 5.3 4.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,268 145,669 146,651 145,167 7,442 6,750 7,663 7,182 5.1 4.6 5.2 4.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 68,397 69,559 67,848 68,981 2,527 2,616 2,645 2,743 3.7 3.8 3.9 4.0

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,197 37,982 38,274 38,009 2,005 1,862 2,206 1,984 5.2 4.9 5.8 5.2

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,853 64,082 64,716 64,125 3,311 2,820 3,486 3,256 5.1 4.4 5.4 5.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,154,455 3,131,102 3,132,675 3,105,642 87,480 81,845 84,035 81,710 2.8 2.6 2.7 2.6

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,743 132,411 132,118 132,211 3,489 3,058 3,277 3,158 2.6 2.3 2.5 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

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,482 93,259 93,012 92,730 2,345 2,218 2,560 2,567 2.5 2.4 2.8 2.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 58,016 57,874 57,560 57,288 1,351 1,251 1,282 1,277 2.3 2.2 2.2 2.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,639 175,008 173,987 174,287 4,552 4,119 4,402 4,254 2.6 2.4 2.5 2.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,187 84,371 84,824 83,127 2,583 2,994 2,386 2,303 3.0 3.5 2.8 2.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 79,613 78,902 78,978 78,520 1,886 1,679 1,909 1,872 2.4 2.1 2.4 2.4

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393,766 392,039 390,310 388,149 8,442 7,828 7,692 7,528 2.1 2.0 2.0 1.9

Milwaukee-Waukesha-West Allis. . . . . . . 829,634 819,083 822,220 810,047 25,395 23,878 22,643 21,655 3.1 2.9 2.8 2.7

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 94,057 93,387 93,739 92,819 2,414 2,152 2,214 2,115 2.6 2.3 2.4 2.3

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,163 98,023 98,387 97,199 3,393 3,077 3,166 3,011 3.4 3.1 3.2 3.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,923 62,743 62,728 62,051 1,506 1,403 1,411 1,324 2.4 2.2 2.2 2.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,746 75,061 75,022 74,866 1,863 1,631 1,788 1,668 2.5 2.2 2.4 2.2

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291,608 288,404 289,592 285,511 11,649 11,008 11,632 11,048 4.0 3.8 4.0 3.9

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,617 38,925 39,476 38,704 1,878 1,639 1,981 1,662 4.7 4.2 5.0 4.3

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,806 47,506 47,661 47,411 1,676 1,685 1,739 1,782 3.5 3.5 3.6 3.8

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,106,581 1,074,567 1,110,787 1,093,175 114,449 81,206 109,768 93,029 10.3 7.6 9.9 8.5

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 90,108 86,015 90,176 88,764 12,601 9,031 12,075 10,450 14.0 10.5 13.4 11.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,223 52,032 53,191 53,291 6,708 5,170 6,485 5,989 12.6 9.9 12.2 11.2

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,380 20,469 21,581 21,020 3,450 2,330 3,468 2,781 16.1 11.4 16.1 13.2

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,609 26,412 27,714 26,826 3,366 2,515 3,109 2,815 12.2 9.5 11.2 10.5

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,215 90,758 94,789 93,361 12,155 9,140 11,797 10,782 12.9 10.1 12.4 11.5

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,670 33,598 35,782 34,248 5,204 3,381 4,920 3,795 14.6 10.1 13.7 11.1

San Juan-Carolina-Caguas. . . . . . . . . . . . 737,990 724,889 740,612 733,101 64,086 45,138 61,061 51,116 8.7 6.2 8.2 7.0

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

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

p Preliminary

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

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

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

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

NOT SEASONALLY ADJUSTED

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

division1

State, area, and division

Civilian labor force Unemployed

November December Number Percent of labor force

2017 2018 2017 2018p

November December November December

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,383,662 19,715,588 19,318,482 19,681,627 812,588 777,582 803,663 810,996 4.2 3.9 4.2 4.1

Los Angeles-Long Beach-Anaheim. . . 6,778,807 6,848,051 6,758,527 6,827,958 271,223 285,879 258,337 285,764 4.0 4.2 3.8 4.2

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,627,650 1,644,437 1,628,598 1,639,277 49,995 45,445 47,264 45,881 3.1 2.8 2.9 2.8

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,151,157 5,203,614 5,129,929 5,188,681 221,228 240,434 211,073 239,883 4.3 4.6 4.1 4.6

San Francisco-Oakland-Hayward. . . . . 2,586,405 2,641,536 2,582,425 2,647,281 73,821 66,704 70,587 67,041 2.9 2.5 2.7 2.5

Oakland-Hayward-Berkeley. . . . . . . . 1,418,629 1,447,649 1,415,371 1,449,471 45,483 41,251 43,436 41,549 3.2 2.8 3.1 2.9

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,025,964 1,048,247 1,026,081 1,051,734 24,889 22,204 23,860 22,261 2.4 2.1 2.3 2.1

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,812 145,640 140,973 146,076 3,449 3,249 3,291 3,231 2.4 2.2 2.3 2.2

District of Columbia. . . . . . . . . . . . . . . . . . . 401,397 404,198 400,171 404,346 22,642 21,182 21,616 19,597 5.6 5.2 5.4 4.8

Washington-Arlington-Alexandria2. . . . 3,387,877 3,401,043 3,374,002 3,398,067 118,851 102,944 111,925 97,082 3.5 3.0 3.3 2.9

Silver Spring-Frederick-Rockville3.. . 689,327 692,570 685,288 688,725 23,001 20,229 20,221 18,687 3.3 2.9 3.0 2.7

Washington-Arlington-Alexandria2.. . 2,698,550 2,708,473 2,688,714 2,709,342 95,850 82,715 91,704 78,395 3.6 3.1 3.4 2.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,116,131 10,250,163 10,091,645 10,278,909 389,257 313,079 371,952 340,753 3.8 3.1 3.7 3.3

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,142,697 3,142,941 3,139,151 3,174,138 126,943 96,072 125,394 106,298 4.0 3.1 4.0 3.3

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,028,382 1,041,681 1,022,607 1,038,689 37,003 29,633 34,736 32,211 3.6 2.8 3.4 3.1

Miami-Miami Beach-Kendall. . . . . . . 1,391,504 1,364,861 1,397,491 1,400,132 62,595 44,197 65,241 50,142 4.5 3.2 4.7 3.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 722,811 736,399 719,053 735,317 27,345 22,242 25,417 23,945 3.8 3.0 3.5 3.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,494,157 6,521,202 6,464,968 6,448,956 296,032 270,283 302,301 284,267 4.6 4.1 4.7 4.4

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,915,077 4,902,696 4,894,663 4,857,913 226,042 185,699 231,734 193,509 4.6 3.8 4.7 4.0

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,795,425 3,754,003 3,782,099 3,718,381 181,316 135,820 184,399 135,476 4.8 3.6 4.9 3.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 324,195 333,455 322,883 329,780 13,306 15,385 14,226 18,756 4.1 4.6 4.4 5.7

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 334,911 342,954 331,165 340,551 14,115 15,807 14,711 16,358 4.2 4.6 4.4 4.8

Lake County-Kenosha County2. . . . 460,546 472,284 458,516 469,201 17,305 18,687 18,398 22,919 3.8 4.0 4.0 4.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,644,703 3,812,500 3,636,531 3,821,903 110,579 98,370 111,847 103,552 3.0 2.6 3.1 2.7

Boston-Cambridge-Nashua2. . . . . . . . . 2,693,215 2,820,536 2,687,037 2,824,194 75,380 66,707 74,427 67,766 2.8 2.4 2.8 2.4

Boston-Cambridge-Newton. . . . . . . . 1,601,820 1,684,068 1,597,698 1,686,499 42,592 37,555 41,653 37,627 2.7 2.2 2.6 2.2

Brockton-Bridgewater-Easton. . . . . . 106,734 111,702 106,700 111,863 3,551 3,168 3,522 3,274 3.3 2.8 3.3 2.9

Framingham. . . . . . . . . . . . . . . . . . . . . 156,353 162,278 156,294 162,991 4,018 3,489 4,016 3,715 2.6 2.2 2.6 2.3

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 113,835 118,543 113,888 118,516 3,228 2,993 3,260 3,129 2.8 2.5 2.9 2.6

Lawrence-Methuen Town-Salem2.. . 96,543 100,251 96,289 100,280 3,933 3,417 4,046 3,518 4.1 3.4 4.2 3.5

Lowell-Billerica-Chelmsford2. . . . . . . 189,305 197,747 188,920 198,046 5,658 4,992 5,747 5,318 3.0 2.5 3.0 2.7

Lynn-Saugus-Marblehead. . . . . . . . . 84,182 88,553 83,856 88,712 2,514 2,239 2,452 2,321 3.0 2.5 2.9 2.6

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,834 175,089 169,049 174,575 4,591 4,201 4,370 4,011 2.7 2.4 2.6 2.3

Peabody-Salem-Beverly. . . . . . . . . . . 91,251 94,519 91,325 95,108 2,619 2,290 2,601 2,351 2.9 2.4 2.8 2.5

Taunton-Middleborough-Norton. . . . 83,358 87,786 83,018 87,604 2,676 2,363 2,760 2,502 3.2 2.7 3.3 2.9

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,886,970 4,890,837 4,875,550 4,884,472 199,719 174,172 216,550 197,257 4.1 3.6 4.4 4.0

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,113,382 2,113,575 2,111,754 2,125,407 82,264 80,959 86,219 88,601 3.9 3.8 4.1 4.2

Detroit-Dearborn-Livonia. . . . . . . . . . 788,748 790,163 788,952 796,683 37,119 36,809 38,763 39,757 4.7 4.7 4.9 5.0

Warren-Troy-Farmington Hills. . . . . . 1,324,634 1,323,411 1,322,801 1,328,724 45,146 44,150 47,456 48,844 3.4 3.3 3.6 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,636,664 9,733,303 9,586,148 9,744,236 427,162 338,977 424,725 366,717 4.4 3.5 4.4 3.8

New York-Newark-Jersey City2. . . . . . 10,042,609 10,075,973 10,004,301 10,097,793 418,637 333,317 402,975 362,747 4.2 3.3 4.0 3.6

Dutchess County-Putnam County.. . 195,499 200,313 194,103 200,585 8,218 5,918 7,919 6,215 4.2 3.0 4.1 3.1

Nassau County-Suffolk County. . . . . 1,473,340 1,504,928 1,466,328 1,509,694 63,560 45,009 62,213 47,350 4.3 3.0 4.2 3.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,231,681 1,226,607 1,228,255 1,235,738 52,849 38,344 50,222 44,564 4.3 3.1 4.1 3.6

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,142,089 7,144,125 7,115,615 7,151,776 294,010 244,046 282,621 264,618 4.1 3.4 4.0 3.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,392,642 6,457,129 6,358,094 6,456,636 280,809 245,004 278,310 255,096 4.4 3.8 4.4 4.0

Philadelphia-Camden-Wilmington2. . . . 3,091,219 3,117,829 3,072,899 3,127,814 135,247 111,851 129,057 114,986 4.4 3.6 4.2 3.7

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 644,526 639,725 640,625 644,157 28,204 20,261 26,760 23,664 4.4 3.2 4.2 3.7

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,063,393 1,076,872 1,058,151 1,079,387 37,822 33,422 35,984 33,415 3.6 3.1 3.4 3.1

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,001,763 1,014,611 992,557 1,014,933 53,482 46,339 50,836 45,880 5.3 4.6 5.1 4.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . 381,537 386,621 381,566 389,337 15,739 11,829 15,477 12,027 4.1 3.1 4.1 3.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,613,780 13,937,051 13,598,061 13,976,348 515,473 482,539 501,845 504,658 3.8 3.5 3.7 3.6

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,841,732 3,946,654 3,827,120 3,962,576 124,815 124,989 120,795 128,925 3.2 3.2 3.2 3.3

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,598,192 2,674,174 2,585,893 2,682,088 84,023 84,407 81,444 87,127 3.2 3.2 3.1 3.2

Fort Worth-Arlington. . . . . . . . . . . . . . 1,243,540 1,272,480 1,241,227 1,280,488 40,792 40,582 39,351 41,798 3.3 3.2 3.2 3.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,755,206 3,831,119 3,748,141 3,836,549 174,366 169,253 182,468 181,399 4.6 4.4 4.9 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,087,776 2,129,170 2,089,705 2,131,466 88,933 82,219 84,085 80,150 4.3 3.9 4.0 3.8

Seattle-Bellevue-Everett. . . . . . . . . . . 1,662,530 1,692,697 1,663,045 1,691,608 67,597 60,851 60,936 56,864 4.1 3.6 3.7 3.4

Tacoma-Lakewood. . . . . . . . . . . . . . . 425,246 436,473 426,660 439,858 21,336 21,368 23,149 23,286 5.0 4.9 5.4 5.3

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

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

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

p Preliminary

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

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

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

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

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

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,034.4 2,068.6 2,028.3 2,072.6 44.3 2.2

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.5 47.8 47.3 47.7 0.4 0.8

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 67.0 65.7 67.2 1.5 2.3

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.0 542.2 532.4 542.3 9.9 1.9

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.9 77.1 74.9 76.8 1.9 2.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 55.5 54.6 55.6 1.0 1.8

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 58.7 58.2 59.1 0.9 1.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 58.2 56.6 58.0 1.4 2.5

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 38.6 38.5 38.6 0.1 0.3

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.3 245.6 235.5 245.1 9.6 4.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.4 188.1 185.8 189.2 3.4 1.8

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.5 180.0 179.3 180.4 1.1 0.6

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.3 110.7 109.1 110.8 1.7 1.6

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.1 312.4 312.3 311.2 -1.1 -0.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.4 173.4 172.3 172.6 0.3 0.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 36.6 36.7 36.2 -0.5 -1.4

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,834.4 2,938.0 2,838.2 2,932.1 93.9 3.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 69.5 67.0 68.7 1.7 2.5

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 52.3 50.2 51.8 1.6 3.2

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,086.3 2,168.9 2,088.4 2,165.3 76.9 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.0 67.0 64.5 66.3 1.8 2.8

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.6 33.4 33.6 0.2 0.6

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382.7 395.3 385.4 394.8 9.4 2.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 57.0 56.5 57.5 1.0 1.8

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,252.3 1,264.9 1,244.9 1,261.4 16.5 1.3

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.4 264.0 256.6 261.7 5.1 2.0

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 113.3 112.4 113.0 0.6 0.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.5 37.9 37.5 37.9 0.4 1.1

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 60.0 58.4 59.7 1.3 2.2

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.8 369.6 362.8 370.1 7.3 2.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 32.9 33.2 32.8 -0.4 -1.2

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,119.2 17,421.4 17,140.0 17,435.1 295.1 1.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.9 267.8 262.8 268.3 5.5 2.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.1 85.8 82.7 85.4 2.7 3.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 55.1 54.3 55.4 1.1 2.0

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 353.2 361.3 351.2 360.2 9.0 2.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.9 39.5 39.7 0.2 0.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,152.5 6,222.7 6,169.0 6,225.8 56.8 0.9

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 39.3 38.2 39.0 0.8 2.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.3 71.6 69.0 71.2 2.2 3.2

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.5 179.9 176.4 179.1 2.7 1.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.7 73.1 71.4 71.5 0.1 0.1

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.0 313.0 307.9 314.1 6.2 2.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 68.8 66.7 68.3 1.6 2.4

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,497.3 1,531.1 1,499.6 1,528.8 29.2 1.9

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 987.0 1,002.0 985.9 1,003.4 17.5 1.8

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.5 145.2 140.0 144.1 4.1 2.9

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,477.4 1,503.3 1,474.0 1,502.4 28.4 1.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,435.7 2,479.0 2,437.7 2,490.4 52.7 2.2

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,119.2 1,155.8 1,123.0 1,160.1 37.1 3.3

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 119.5 121.0 117.1 118.5 1.4 1.2

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.6 105.7 103.2 104.9 1.7 1.6

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.1 187.5 185.6 187.0 1.4 0.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.3 212.7 208.8 212.5 3.7 1.8

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240.1 247.4 240.2 246.7 6.5 2.7

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.4 142.0 139.7 142.4 2.7 1.9

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.7 129.7 127.5 129.4 1.9 1.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 44.6 44.5 44.1 -0.4 -0.9

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,692.0 2,760.3 2,704.7 2,780.0 75.3 2.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.7 198.3 192.4 198.1 5.7 3.0

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290.6 305.6 290.3 306.4 16.1 5.5

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,482.2 1,510.4 1,483.9 1,514.7 30.8 2.1

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.1 174.5 167.0 174.3 7.3 4.4

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 65.1 63.9 65.1 1.2 1.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.3 110.5 107.0 109.8 2.8 2.6

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.5 62.7 63.0 0.3 0.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,696.9 1,720.9 1,700.2 1,720.4 20.2 1.2

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.2 414.2 408.0 415.2 7.2 1.8

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.2 80.5 79.6 80.7 1.1 1.4

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579.6 591.0 581.3 589.7 8.4 1.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.2 289.9 285.6 289.6 4.0 1.4

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.1 133.1 131.0 132.5 1.5 1.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 67.8 67.8 67.8 0.0 0.0

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460.7 468.0 458.7 468.7 10.0 2.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 71.3 69.8 71.1 1.3 1.9

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.4 158.0 152.8 157.2 4.4 2.9

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 798.4 797.7 797.1 799.1 2.0 0.3

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,306.2 3,360.4 3,310.2 3,363.8 53.6 1.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,711.5 8,948.5 8,754.5 8,986.9 232.4 2.7

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.0 274.1 267.8 275.5 7.7 2.9

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.0 119.0 115.0 118.1 3.1 2.7

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.5 204.1 204.0 204.6 0.6 0.3

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.7 148.1 144.6 147.6 3.0 2.1

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 34.0 33.4 34.0 0.6 1.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705.0 714.5 707.9 720.4 12.5 1.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.0 232.3 225.9 232.8 6.9 3.1

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,666.5 2,727.7 2,679.3 2,736.7 57.4 2.1

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.9 146.4 144.5 148.2 3.7 2.6

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306.4 313.6 308.1 315.1 7.0 2.3

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.6 106.8 102.9 107.3 4.4 4.3

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,271.4 1,331.8 1,284.2 1,335.5 51.3 4.0

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.8 222.8 214.6 224.2 9.6 4.5

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.4 84.2 84.1 82.6 -1.5 -1.8

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.5 184.3 179.2 183.8 4.6 2.6

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.8 152.3 147.2 152.8 5.6 3.8

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.8 49.7 49.1 50.2 1.1 2.2

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 53.3 52.2 53.8 1.6 3.1

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.9 26.1 25.7 26.3 0.6 2.3

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.0 187.6 183.0 187.7 4.7 2.6

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,343.5 1,368.0 1,347.5 1,369.9 22.4 1.7

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 29.1 28.5 29.3 0.8 2.8

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,524.6 4,623.8 4,515.4 4,634.6 119.2 2.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 64.4 64.0 64.4 0.4 0.6

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.0 103.3 97.4 101.2 3.8 3.9

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,770.3 2,827.7 2,767.0 2,836.3 69.3 2.5

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240.8 244.2 242.7 244.9 2.2 0.9

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 44.6 43.8 44.5 0.7 1.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.8 125.1 122.8 125.4 2.6 2.1

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.1 68.6 67.2 69.0 1.8 2.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.6 95.9 91.9 95.8 3.9 4.2

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 20.9 20.5 20.8 0.3 1.5

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.6 104.9 103.7 104.9 1.2 1.2

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.9 41.5 41.8 0.3 0.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.6 179.3 179.2 179.3 0.1 0.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 58.0 56.4 58.1 1.7 3.0

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.3 75.1 74.2 75.1 0.9 1.2

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661.4 672.3 665.5 675.1 9.6 1.4

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

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 77.9 77.6 78.5 0.9 1.2

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484.1 493.3 486.7 496.5 9.8 2.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 731.1 744.5 726.9 741.3 14.4 2.0

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.1 332.3 322.3 331.5 9.2 2.9

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 66.0 63.0 65.4 2.4 3.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 67.6 66.2 67.3 1.1 1.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.4 30.3 29.1 29.9 0.8 2.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 38.4 37.5 38.5 1.0 2.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,156.3 6,211.2 6,117.4 6,189.4 72.0 1.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.2 95.4 94.1 94.1 0.0 0.0

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 58.4 57.6 57.7 0.1 0.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.9 114.4 112.5 113.4 0.9 0.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,758.6 4,803.2 4,730.9 4,789.3 58.4 1.2

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.6 28.3 28.4 0.1 0.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.0 190.2 187.1 189.3 2.2 1.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 52.3 51.5 52.0 0.5 1.0

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 50.6 48.0 50.4 2.4 5.0

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.9 173.8 172.2 172.6 0.4 0.2

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.5 154.1 153.0 153.9 0.9 0.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.4 113.2 112.9 112.5 -0.4 -0.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,150.0 3,181.5 3,133.9 3,181.8 47.9 1.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 77.2 77.0 76.6 -0.4 -0.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 55.3 53.7 55.3 1.6 3.0

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.8 146.3 141.8 146.4 4.6 3.2

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.8 165.9 164.2 165.0 0.8 0.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.2 231.0 224.4 230.7 6.3 2.8

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,076.3 1,097.0 1,072.0 1,097.1 25.1 2.3

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 45.0 43.1 45.5 2.4 5.6

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.6 110.1 104.2 108.8 4.6 4.4

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 41.7 41.8 41.5 -0.3 -0.7

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 53.3 53.1 52.9 -0.2 -0.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.9 145.7 144.8 145.7 0.9 0.6

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.7 72.7 71.9 72.9 1.0 1.4

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,595.1 1,612.6 1,586.0 1,602.1 16.1 1.0

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 57.1 55.5 56.1 0.6 1.1

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.5 146.9 145.2 146.3 1.1 0.8

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369.3 380.9 367.9 380.0 12.1 3.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 60.8 60.6 60.5 -0.1 -0.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.4 104.3 102.2 103.1 0.9 0.9

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.8 89.2 87.5 88.6 1.1 1.3

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.6 91.8 91.0 91.3 0.3 0.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,427.7 1,448.4 1,424.6 1,444.5 19.9 1.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 55.4 54.4 54.4 0.0 0.0

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.8 44.7 43.0 43.7 0.7 1.6

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.7 111.8 112.0 112.0 0.0 0.0

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.7 302.5 296.9 302.3 5.4 1.8

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,943.2 1,960.5 1,943.1 1,965.1 22.0 1.1

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 78.9 78.0 78.9 0.9 1.2

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 57.7 56.3 57.7 1.4 2.5

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.9 286.3 283.7 286.5 2.8 1.0

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.4 678.6 679.1 680.4 1.3 0.2

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 54.8 54.8 54.9 0.1 0.2

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,986.7 2,008.0 1,982.9 2,002.0 19.1 1.0

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 62.4 62.5 62.6 0.1 0.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.1 416.1 408.3 412.8 4.5 1.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.8 47.0 47.9 0.9 1.9

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.4 85.5 86.1 85.1 -1.0 -1.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201.7 202.9 201.3 203.3 2.0 1.0

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.8 121.5 116.8 120.3 3.5 3.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 80.0 79.1 79.8 0.7 0.9

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577.4 589.7 578.7 591.6 12.9 2.2

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.5 180.0 179.7 179.5 -0.2 -0.1

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623.9 629.8 622.1 624.9 2.8 0.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.2 67.3 66.7 -0.6 -0.9

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.6 51.6 51.6 51.2 -0.4 -0.8

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.8 211.6 207.8 211.0 3.2 1.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.6 2,780.6 2,726.1 2,778.1 52.0 1.9

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,417.1 1,438.8 1,408.5 1,438.5 30.0 2.1

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.8 45.1 45.9 0.8 1.8

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 40.1 39.7 39.9 0.2 0.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.1 111.4 108.2 111.3 3.1 2.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,653.4 3,715.8 3,645.6 3,711.2 65.6 1.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 104.6 102.4 103.4 1.0 1.0

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,770.4 2,825.0 2,767.7 2,820.2 52.5 1.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 54.4 53.9 54.2 0.3 0.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.3 69.6 68.1 69.4 1.3 1.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 42.0 41.6 41.8 0.2 0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.1 345.2 340.3 345.0 4.7 1.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292.2 298.5 292.2 298.0 5.8 2.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,433.2 4,484.1 4,410.2 4,463.1 52.9 1.2

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.7 230.0 225.2 229.2 4.0 1.8

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.5 58.6 59.6 1.0 1.7

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.3 36.3 35.8 36.0 0.2 0.6

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,029.7 2,041.7 2,023.0 2,036.2 13.2 0.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 143.5 141.8 143.4 1.6 1.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560.9 574.6 561.5 574.1 12.6 2.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 58.5 58.9 58.4 -0.5 -0.8

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.4 151.6 149.9 151.0 1.1 0.7

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240.8 245.3 238.5 242.9 4.4 1.8

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 37.5 37.1 37.5 0.4 1.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.0 43.4 42.5 43.0 0.5 1.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 64.8 65.0 64.9 -0.1 -0.2

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 63.1 61.9 62.4 0.5 0.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.3 91.1 89.0 90.4 1.4 1.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,956.6 2,990.1 2,941.5 2,972.9 31.4 1.1

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.7 140.7 137.9 139.4 1.5 1.1

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 61.1 58.9 61.3 2.4 4.1

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,008.8 2,044.9 1,998.5 2,030.2 31.7 1.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.7 120.2 120.7 120.2 -0.5 -0.4

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 112.5 110.8 111.9 1.1 1.0

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,167.9 1,183.3 1,167.5 1,179.0 11.5 1.0

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.5 156.3 155.5 156.0 0.5 0.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 67.8 66.3 67.6 1.3 2.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.9 286.2 284.8 285.8 1.0 0.4

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,905.1 2,938.1 2,894.8 2,934.2 39.4 1.4

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 46.3 45.6 46.3 0.7 1.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.0 102.6 101.6 102.4 0.8 0.8

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.5 77.4 77.1 76.9 -0.2 -0.3

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.1 82.6 82.2 82.7 0.5 0.6

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,099.2 1,115.7 1,096.9 1,112.5 15.6 1.4

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 66.2 65.1 66.1 1.0 1.5

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,393.0 1,402.9 1,384.0 1,404.2 20.2 1.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.6 219.3 215.8 219.7 3.9 1.8

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471.7 479.8 473.5 479.2 5.7 1.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.1 85.6 85.1 86.0 0.9 1.1

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.1 36.2 36.1 36.2 0.1 0.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 63.0 61.4 62.9 1.5 2.4

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,027.0 1,041.2 1,024.8 1,037.5 12.7 1.2

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 42.9 42.4 42.8 0.4 0.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.6 193.9 190.6 191.9 1.3 0.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505.3 515.5 504.9 513.8 8.9 1.8

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,362.4 1,415.0 1,365.9 1,418.4 52.5 3.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.7 31.2 31.0 31.1 0.1 0.3

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 991.1 1,025.3 993.0 1,026.9 33.9 3.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.5 251.2 237.8 250.4 12.6 5.3

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 683.6 698.9 681.6 699.4 17.8 2.6

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.9 56.3 55.8 56.2 0.4 0.7

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.5 114.3 112.2 114.9 2.7 2.4

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.2 96.1 93.8 95.7 1.9 2.0

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,182.3 4,246.8 4,186.1 4,246.4 60.3 1.4

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.8 134.8 130.6 134.5 3.9 3.0

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 40.8 37.9 40.5 2.6 6.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.6 280.6 272.3 281.0 8.7 3.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 59.8 60.0 60.0 0.0 0.0

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 842.8 860.9 840.9 861.3 20.4 2.4

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394.1 403.9 393.3 403.6 10.3 2.6

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 49.8 49.4 49.7 0.3 0.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.9 71.2 70.8 71.1 0.3 0.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 64.2 63.0 63.4 0.4 0.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,666.6 9,784.0 9,660.9 9,784.0 123.1 1.3

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478.1 479.8 476.9 479.3 2.4 0.5

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 105.3 105.3 105.2 -0.1 -0.1

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.9 578.8 572.2 579.7 7.5 1.3

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 37.0 37.3 36.8 -0.5 -1.3

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 55.9 55.1 56.0 0.9 1.6

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 68.4 65.9 68.1 2.2 3.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 63.9 63.0 63.9 0.9 1.4

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,825.7 9,942.7 9,838.2 9,953.7 115.5 1.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 543.0 547.1 542.9 545.6 2.7 0.5

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.6 325.4 321.4 324.9 3.5 1.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.0 128.3 127.4 128.1 0.7 0.5

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 42.3 42.0 41.9 -0.1 -0.2

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,480.5 4,580.4 4,484.6 4,569.1 84.5 1.9

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194.6 194.6 194.5 195.6 1.1 0.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 63.3 62.1 63.0 0.9 1.4

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,205.8 1,234.7 1,211.3 1,235.8 24.5 2.0

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.4 320.4 313.2 320.4 7.2 2.3

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.3 133.4 132.0 133.9 1.9 1.4

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.2 42.0 42.2 0.2 0.5

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.9 370.7 363.2 368.3 5.1 1.4

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 81.4 80.9 81.2 0.3 0.4

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.7 159.2 154.9 158.1 3.2 2.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.5 50.2 49.6 50.6 1.0 2.0

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.0 44.8 44.9 0.1 0.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 628.5 646.4 625.9 644.7 18.8 3.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 56.9 56.9 56.7 -0.2 -0.4

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.3 127.8 126.2 127.0 0.8 0.6

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.4 271.9 266.6 271.9 5.3 2.0

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431.7 438.0 427.6 435.9 8.3 1.9

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 74.2 72.8 73.8 1.0 1.4

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.6 143.9 141.5 143.4 1.9 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

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 58.0 56.6 57.4 0.8 1.4

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,576.4 5,691.9 5,560.6 5,673.7 113.1 2.0

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346.8 351.0 344.5 350.5 6.0 1.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.5 177.0 174.5 175.4 0.9 0.5

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,101.4 1,122.2 1,096.3 1,121.2 24.9 2.3

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,061.7 1,093.2 1,060.1 1,087.0 26.9 2.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,095.4 1,114.1 1,096.9 1,115.5 18.6 1.7

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.6 398.3 398.0 397.3 -0.7 -0.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 53.4 54.1 53.4 -0.7 -1.3

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 53.4 52.6 53.3 0.7 1.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 51.2 50.2 51.2 1.0 2.0

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.4 314.0 310.9 313.9 3.0 1.0

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 41.4 41.0 41.3 0.3 0.7

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.2 220.9 219.8 219.8 0.0 0.0

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,693.9 1,720.7 1,691.0 1,715.7 24.7 1.5

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 25.9 25.6 26.1 0.5 2.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.3 46.0 46.2 0.2 0.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 646.9 661.7 646.5 659.5 13.0 2.0

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 460.2 471.7 460.5 470.4 9.9 2.1

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,898.1 1,942.4 1,904.0 1,939.3 35.3 1.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 46.9 45.4 46.8 1.4 3.1

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.5 85.7 82.1 85.6 3.5 4.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 44.0 43.6 43.8 0.2 0.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.5 164.1 162.5 163.5 1.0 0.6

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.3 26.8 26.2 26.8 0.6 2.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.8 90.5 89.0 90.2 1.2 1.3

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,188.8 1,217.5 1,192.4 1,219.9 27.5 2.3

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.3 171.2 164.9 169.1 4.2 2.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,039.7 6,117.5 6,037.8 6,116.0 78.2 1.3

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375.0 379.4 373.0 379.8 6.8 1.8

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 62.5 61.4 62.2 0.8 1.3

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 43.3 42.7 42.8 0.1 0.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.3 62.1 61.4 62.5 1.1 1.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 58.9 58.5 59.0 0.5 0.9

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.7 129.0 128.7 127.8 -0.9 -0.7

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.8 36.7 35.9 36.5 0.6 1.7

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344.4 350.3 343.5 351.0 7.5 2.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.3 55.6 56.3 0.7 1.3

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.4 260.3 256.3 260.6 4.3 1.7

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.1 52.9 53.0 0.1 0.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,955.7 2,997.9 2,950.9 3,005.8 54.9 1.9

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,196.6 1,208.6 1,193.9 1,203.5 9.6 0.8

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.7 183.7 180.5 183.4 2.9 1.6

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269.6 272.8 268.6 270.6 2.0 0.7

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 82.1 80.4 80.3 -0.1 -0.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 52.8 53.3 52.9 -0.4 -0.8

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.2 192.7 188.0 192.0 4.0 2.1

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502.4 507.4 499.0 506.5 7.5 1.5

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 598.9 604.5 596.2 603.5 7.3 1.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,114.3 2,149.8 2,114.5 2,157.7 43.2 2.0

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.9 365.7 355.7 364.9 9.2 2.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.7 403.4 398.1 405.6 7.5 1.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.8 90.4 89.1 90.5 1.4 1.6

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422.0 426.8 423.2 430.5 7.3 1.7

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 81.4 78.4 80.9 2.5 3.2

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.5 168.5 160.4 167.4 7.0 4.4

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.8 157.3 156.8 157.7 0.9 0.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.6 40.4 39.8 40.5 0.7 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

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436.5 445.6 435.4 444.7 9.3 2.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 70.3 67.9 70.3 2.4 3.5

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.2 159.3 156.9 160.2 3.3 2.1

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,066.3 3,130.6 3,061.3 3,117.4 56.1 1.8

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.5 267.1 261.7 265.1 3.4 1.3

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.1 93.4 90.4 93.3 2.9 3.2

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 49.8 50.6 50.9 0.3 0.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.2 70.6 69.4 70.5 1.1 1.6

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 81.0 80.7 81.1 0.4 0.5

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.7 125.0 122.4 124.5 2.1 1.7

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.0 404.6 400.1 403.3 3.2 0.8

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 658.3 670.3 657.6 667.5 9.9 1.5

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 47.9 46.5 48.0 1.5 3.2

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000.1 1,023.2 999.1 1,019.5 20.4 2.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,432.0 12,793.1 12,435.6 12,818.5 382.9 3.1

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.9 70.8 69.8 70.8 1.0 1.4

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.1 123.4 121.3 123.3 2.0 1.6

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,052.8 1,087.1 1,053.5 1,090.3 36.8 3.5

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.2 163.2 164.2 163.3 -0.9 -0.5

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.7 144.6 141.6 144.6 3.0 2.1

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.1 124.4 121.0 123.2 2.2 1.8

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.1 196.2 192.0 195.9 3.9 2.0

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,671.0 3,769.0 3,666.8 3,783.2 116.4 3.2

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.6 322.1 316.6 323.0 6.4 2.0

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,063.4 3,178.0 3,073.4 3,181.7 108.3 3.5

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.6 147.9 144.4 148.2 3.8 2.6

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.1 105.4 105.0 105.9 0.9 0.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.4 98.8 97.4 98.4 1.0 1.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.6 153.5 149.3 153.8 4.5 3.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.9 266.6 262.8 268.3 5.5 2.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.6 103.4 97.8 104.4 6.6 6.7

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.6 76.4 75.6 76.5 0.9 1.2

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 50.6 49.5 50.5 1.0 2.0

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,051.9 1,065.3 1,056.3 1,065.0 8.7 0.8

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.3 49.1 47.4 49.0 1.6 3.4

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 61.3 60.7 61.0 0.3 0.5

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.8 110.2 106.6 109.9 3.3 3.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.2 40.7 41.1 40.6 -0.5 -1.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.3 123.1 121.6 123.2 1.6 1.3

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 60.0 59.3 60.0 0.7 1.2

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,499.6 1,543.3 1,500.4 1,547.6 47.2 3.1

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.9 65.1 62.7 64.5 1.8 2.9

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.5 262.7 256.0 262.9 6.9 2.7

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.4 265.9 256.2 264.5 8.3 3.2

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.6 69.0 64.8 68.2 3.4 5.2

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 730.4 747.3 730.1 750.0 19.9 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.5 315.9 319.5 318.4 -1.1 -0.3

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 125.5 125.4 125.5 0.1 0.1

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,986.5 4,060.4 3,976.6 4,049.6 73.0 1.8

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 79.5 77.5 79.2 1.7 2.2

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.8 123.4 119.1 122.2 3.1 2.6

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.9 69.4 68.8 69.5 0.7 1.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.4 107.2 105.3 107.1 1.8 1.7

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675.6 688.1 675.2 686.1 10.9 1.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.2 165.0 160.8 164.6 3.8 2.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.4 50.3 51.3 1.0 2.0

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 781.6 793.9 779.5 792.7 13.2 1.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 66.7 64.5 66.4 1.9 2.9

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,381.2 3,482.2 3,370.8 3,477.0 106.2 3.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.5 97.3 94.2 96.9 2.7 2.9

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.7 93.1 92.5 94.3 1.8 1.9

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.1 116.8 113.5 116.6 3.1 2.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 41.1 40.0 41.1 1.1 2.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 51.3 49.9 51.0 1.1 2.2

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.1 119.8 117.9 119.8 1.9 1.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,032.2 2,103.7 2,035.8 2,103.1 67.3 3.3

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.6 250.4 244.9 250.3 5.4 2.2

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.0 29.4 28.7 29.3 0.6 2.1

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 46.5 44.7 46.3 1.6 3.6

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.4 90.5 87.5 89.4 1.9 2.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758.4 764.9 756.7 762.4 5.7 0.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 44.5 45.0 44.5 -0.5 -1.1

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.7 116.1 117.6 116.2 -1.4 -1.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.7 140.0 139.9 139.4 -0.5 -0.4

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.8 74.9 73.2 74.3 1.1 1.5

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 40.0 40.1 40.1 0.0 0.0

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 67.5 67.2 67.3 0.1 0.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,975.4 3,018.2 2,957.8 3,007.8 50.0 1.7

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 128.9 125.9 129.6 3.7 2.9

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 88.8 86.9 88.5 1.6 1.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 49.7 48.5 49.5 1.0 2.1

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.2 183.0 178.3 183.1 4.8 2.7

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.9 68.8 69.0 68.8 -0.2 -0.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.0 81.7 80.3 81.3 1.0 1.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.7 414.4 406.0 412.7 6.7 1.7

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 874.8 879.0 870.4 877.2 6.8 0.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.0 100.0 98.9 99.8 0.9 0.9

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.1 78.5 77.3 78.6 1.3 1.7

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 64.2 63.2 63.9 0.7 1.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.4 75.1 73.7 75.5 1.8 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.9 287.2 280.4 288.6 8.2 2.9

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 39.0 38.6 38.9 0.3 0.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 46.8 46.3 46.8 0.5 1.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 854.0 861.5 866.8 874.1 7.3 0.8

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 50.9 51.7 52.3 0.6 1.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 33.8 33.9 34.3 0.4 1.2

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.3 14.6 14.6 14.8 0.2 1.4

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.0 30.4 31.7 30.9 -0.8 -2.5

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 67.6 68.9 69.0 0.1 0.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.0 19.1 19.4 19.2 -0.2 -1.0

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 622.8 629.3 632.7 638.6 5.9 0.9

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.8 37.6 35.4 37.7 2.3 6.5

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. 15-01, dated July 15, 2015, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

November December

Change from

December 2017 to December

2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,119.2 17,421.4 17,140.0 17,435.1 295.1 1.7

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,152.5 6,222.7 6,169.0 6,225.8 56.8 0.9

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,644.9 1,652.7 1,651.7 1,648.5 -3.2 -0.2

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,507.6 4,570.0 4,517.3 4,577.3 60.0 1.3

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,435.7 2,479.0 2,437.7 2,490.4 52.7 2.2

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,183.6 1,203.8 1,183.2 1,207.1 23.9 2.0

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,134.9 1,155.7 1,137.9 1,162.4 24.5 2.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.2 119.5 116.6 120.9 4.3 3.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 798.4 797.7 797.1 799.1 2.0 0.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,306.2 3,360.4 3,310.2 3,363.8 53.6 1.6

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.8 606.6 595.5 605.3 9.8 1.6

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,711.4 2,753.8 2,714.7 2,758.5 43.8 1.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,711.5 8,948.5 8,754.5 8,986.9 232.4 2.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,666.5 2,727.7 2,679.3 2,736.7 57.4 2.1

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 847.5 865.2 850.5 866.3 15.8 1.9

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,194.3 1,219.3 1,201.2 1,224.9 23.7 2.0

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.7 643.2 627.6 645.5 17.9 2.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,156.3 6,211.2 6,117.4 6,189.4 72.0 1.2

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,758.6 4,803.2 4,730.9 4,789.3 58.4 1.2

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,793.7 3,823.8 3,776.3 3,817.8 41.5 1.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.7 266.7 260.9 263.2 2.3 0.9

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.6 284.4 277.2 282.1 4.9 1.8

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420.6 428.3 416.5 426.2 9.7 2.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,653.4 3,715.8 3,645.6 3,711.2 65.6 1.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,770.4 2,825.0 2,767.7 2,820.2 52.5 1.9

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,865.9 1,909.9 1,862.7 1,906.9 44.2 2.4

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.9 83.7 83.1 83.6 0.5 0.6

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.3 174.1 174.8 174.2 -0.6 -0.3

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 68.5 67.6 68.1 0.5 0.7

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.9 85.6 84.5 85.5 1.0 1.2

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.8 161.7 159.5 161.2 1.7 1.1

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 47.6 46.0 47.5 1.5 3.3

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.1 132.7 130.5 132.3 1.8 1.4

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 97.7 98.5 98.3 -0.2 -0.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 63.5 60.5 62.6 2.1 3.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,433.2 4,484.1 4,410.2 4,463.1 52.9 1.2

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,029.7 2,041.7 2,023.0 2,036.2 13.2 0.7

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 767.0 773.0 765.3 774.2 8.9 1.2

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,262.7 1,268.7 1,257.7 1,262.0 4.3 0.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,666.6 9,784.0 9,660.9 9,784.0 123.1 1.3

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,825.7 9,942.7 9,838.2 9,953.7 115.5 1.2

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.0 154.3 151.8 154.6 2.8 1.8

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,360.1 1,373.9 1,359.7 1,377.5 17.8 1.3

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,217.9 1,228.1 1,218.2 1,232.1 13.9 1.1

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,095.7 7,186.4 7,108.5 7,189.5 81.0 1.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,039.7 6,117.5 6,037.8 6,116.0 78.2 1.3

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,955.7 2,997.9 2,950.9 3,005.8 54.9 1.9

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.0 556.4 553.5 557.3 3.8 0.7

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,075.2 1,087.1 1,074.7 1,090.1 15.4 1.4

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 963.4 984.1 960.4 986.3 25.9 2.7

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.1 370.3 362.3 372.1 9.8 2.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,432.0 12,793.1 12,435.6 12,818.5 382.9 3.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,671.0 3,769.0 3,666.8 3,783.2 116.4 3.2

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,624.9 2,701.0 2,618.4 2,707.0 88.6 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,046.1 1,068.0 1,048.4 1,076.2 27.8 2.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,381.2 3,482.2 3,370.8 3,477.0 106.2 3.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,032.2 2,103.7 2,035.8 2,103.1 67.3 3.3

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,714.8 1,777.2 1,718.6 1,776.4 57.8 3.4

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.4 326.5 317.2 326.7 9.5 3.0

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

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

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

city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan

areas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
Map 1. Unemployment rates for metropolitan areas, not seasonally ad

December 2018

(U.S. rate = 3.7 percent)

Map includes data for 388 metropolitan areas basedon Office of Management and Budget Bulletin No. 15- 01. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, December 2018

(U.S. average = 1.8 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Management and Budget Bulletin No. 15-

01. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.