For release 10:00 a.m. (EDT) Friday, March 16, 2018 USDL-18-0379 

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 — JANUARY 2018

Unemployment rates were lower in January than a year earlier in 337 of the 388 metropolitan areas, 

higher in 39 areas, and unchanged in 12 areas, the U.S. Bureau of Labor Statistics reported today. 

Twenty-eight areas had jobless rates of less than 3.0 percent and four areas had rates of at least 10.0 

percent. Nonfarm payroll employment increased over the year in 295 metropolitan areas, decreased in 

78 areas, and was unchanged in 15 areas. The national unemployment rate in January was 4.5 percent, 

not seasonally adjusted, down from 5.1 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In January, Ames, IA, had the lowest unemployment rate, 1.8 percent, followed by Urban Honolulu, HI, 

2.0 percent. El Centro, CA, had the highest unemployment rate, 17.0 percent. A total of 192 areas had 

January jobless rates below the U.S. rate of 4.5 percent, 187 areas had rates above it, and 9 areas had 

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

Rockford, IL, had the largest over-the-year unemployment rate decrease in January (-5.0 percentage 

points). An additional 118 areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Fairbanks, AK (+0.5 percentage point).

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 January, 2.8 percent. BuffaloCheektowaga-Niagara Falls, NY, had the highest jobless rate among the large areas, 6.2 percent. Fortyseven large areas had over-the-year unemployment rate decreases, three had increases, and one had no 

change. The largest rate decrease occurred in Birmingham-Hoover, AL (-1.9 percentage points). The 

largest over-the-year rate increase was in Seattle-Tacoma-Bellevue, WA (+0.4 percentage point). 

Metropolitan Area Employment and Unemployment Data Changes 

In accordance with annual practices, historical data have been revised in tables 1 through 4 of this news 

release. For detailed information on the revisions, see the box notes at the end of the news release. 
- 2 - 

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 January, San Francisco-Redwood City-South 

San Francisco, CA, and San Rafael, CA, had the lowest unemployment rates among the divisions, 2.5 

percent each. Tacoma-Lakewood, WA, had the highest division rate, 6.0 percent. (See table 2.) 

In January, 34 metropolitan divisions had over-the-year unemployment rate decreases, 3 had increases, 

and 1 had no change. The largest rate decline occurred in Elgin, IL (-1.6 percentage points). The largest 

over-the-year jobless rate increase occurred in Seattle-Bellevue-Everett, WA (+0.5 percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In January, 295 metropolitan areas had over-the-year increases in nonfarm payroll employment, 78 had 

decreases, and 15 had no change. The largest over-the-year employment increases occurred in Los 

Angeles-Long Beach-Anaheim, CA (+114,600), New York-Newark-Jersey City, NY-NJ-PA 

(+104,000), and Dallas-Fort Worth-Arlington, TX (+85,800). The largest over-the-year percentage gains 

in employment occurred in Midland, TX (+10.3 percent), Ocean City, NJ (+7.9 percent), and Odessa, 

TX (+7.2 percent). (See table 3 and map 2.) 

The largest over-the-year decrease in employment occurred in Naples-Immokalee-Marco Island, FL 

(-5,200), followed by Bridgeport-Stamford-Norwalk, CT (-4,300), and Youngstown-Warren-Boardman, 

OH-PA (-3,100). The largest over-the-year percentage decrease in employment occurred in Enid, OK 

(-4.6 percent), followed by Sierra Vista-Douglas, AZ (-3.9 percent), and Naples-Immokalee-Marco 

Island, FL (-3.5 percent). 

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

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

metropolitan areas occurred in Austin-Round Rock, TX, and Riverside-San Bernardino-Ontario, CA 

(+3.7 percent each), followed by Orlando-Kissimmee-Sanford, FL (+3.4 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In January, nonfarm payroll employment increased in 34 of the 38 metropolitan divisions over the year 

and fell in 4. The largest over-the-year increase in employment among the metropolitan divisions 

occurred in New York-Jersey City-White Plains, NY-NJ (+91,000), followed by Los Angeles-Long 

Beach-Glendale, CA (+75,500), and Dallas-Plano-Irving, TX (+64,400). The over-the-year decreases 

occurred in Framingham, MA (-1,700), Wilmington, DE-MD-NJ (-1,500), Gary, IN (-1,300), and 

Peabody-Salem-Beverly, MA (-1,100). (See table 4.) 

The largest over-the-year percentage increase occurred in Seattle-Bellevue-Everett, WA (+3.3 percent), 

followed by Haverhill-Newburyport-Amesbury Town, MA-NH (+2.9 percent), and BrocktonBridgewater-Easton, MA; Dallas-Plano-Irving, TX; and San Rafael, CA (+2.6 percent each). The overthe-year percentage decreases occurred in Peabody-Salem-Beverly, MA (-1.2 percent), Framingham, 

MA (-1.0 percent), Gary, IN (-0.5 percent), and Wilmington, DE-MD-NJ (-0.4 percent). 

_____________ 

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

on Friday, March 23, 2018, at 10:00 a.m. (EDT). The Metropolitan Area Employment and 
- 3 -

Unemployment news release for February is scheduled to be released on Wednesday, April 4, 

2018, at 10:00 a.m. (EDT). 

Changes to Local Area Unemployment Statistics (LAUS) Data

Effective with the release of Regional and State Unemployment 2017 Annual Averages on Tuesday, 

February 27, 2018, civilian labor force and unemployment data for all states, the District of Columbia, 

and the modeled substate areas presented in tables 1 and 2 of this news release were revised from 2013 

through 2017 to incorporate updated inputs, new population controls, re-estimation of models, and 

adjustment to new census division and national control totals. Revisions for all model-based area 

estimates were loaded into the BLS time series database at that time.

Civilian labor force and unemployment data for the non-modeled metropolitan areas and divisions 

presented in tables 1 and 2 of this news release have been revised for 2017 to incorporate updated inputs 

and adjustment to new state control totals. Revised estimates for these areas and divisions have not been 

loaded into the BLS time series database; therefore, the database does not match the data for 2017 in this 

news release. Revisions for all non-modeled metropolitan areas and divisions from 2013 through 2017 

will be loaded into the database on April 20, 2018. For more information, see 

www.bls.gov/lau/launews1.htm. 

Changes to Current Employment Statistics (CES) Data 

Effective with the State Employment and Unemployment—January 2018 news release on March 12, 

2018, nonfarm payroll estimates for states and metropolitan areas (tables 3 and 4) were revised as a 

result of annual benchmark processing to reflect 2017 employment counts primarily from the BLS 

Quarterly Census of Employment and Wages (QCEW), as well as updated seasonal adjustment factors. 

Not seasonally adjusted data beginning with April 2016 and seasonally adjusted data beginning with 

January 2013 were subject to revision. Some seasonally adjusted series may have been revised back to 

1990. 

Also effective with the release of January 2018 estimates, the CES program converted to concurrent 

seasonal adjustment, which uses all available estimates, including those for the current month, in 

developing seasonal factors. Previously, the CES program developed seasonal factors once a year 

during the annual benchmark process. 

In addition, the data were updated to the 2017 North American Industry Classification System 

(NAICS) from the 2012 NAICS. This update resulted in minor changes to several industries. 

Information on the 2017 NAICS updates, concurrent seasonal adjustment, and annual benchmark 

processing is available at www.bls.gov/web/laus/benchmark.pdf. 
Technical Note

This release presents civilian labor force and unemployment 

data from the Local Area Unemployment Statistics (LAUS) 

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

and metropolitan New England City and Town Areas 

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

metropolitan and NECTA divisions also are presented. 

Nonfarm payroll employment estimates from the Current 

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

provided for the same areas. State estimates were previously 

published in the news release State Employment and 

Unemployment, and are republished in this release for ease of 

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

cooperative endeavors.

Civilian labor force and unemployment—from the 

LAUS program 

Definitions. The civilian labor force and unemployment 

data are based on the same concepts and definitions as those 

used for the official national estimates obtained from the 

Current Population Survey (CPS), a sample survey of 

households that is conducted for the Bureau of Labor Statistics 

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

measures employed persons and unemployed persons on a 

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

noninstitutional population 16 years of age and older. 

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

profit in the reference week (typically the week including the 

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

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

job from which they were temporarily absent, whether or not 

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

vacation. Unemployed persons are those who were not 

employed during the reference week (based on the definition 

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

period ending with the reference week, and were currently 

available for work; persons on layoff expecting recall need not 

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

labor force is the sum of employed and unemployed persons. 

The unemployment rate is the number of unemployed as a 

percent of the civilian labor force. 

Method of estimation. Estimates for states, the District 

of Columbia, the Los Angeles-Long Beach-Glendale 

metropolitan division, and New York City are produced using 

time-series models with real-time benchmarking to national 

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

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

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

improves the statistical basis of the estimation for these areas 

and provides important tools for analysis, such as measures of 

errors and seasonally adjusted series. For all other substate 

areas in this release, estimates are prepared through indirect 

estimation procedures using a building-block approach. 

Estimates of employed persons, which are based largely on 

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

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

Unemployment estimates are aggregates of persons previously 

employed in industries covered by state unemployment 

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

CPS. The substate estimates of employment and 

unemployment, which geographically exhaust the entire state, 

are adjusted proportionally to ensure that they add to the 

independently estimated model-based area totals. A detailed 

description of the estimation procedures is available from BLS 

upon request.

Annual revisions. Civilian labor force and 

unemployment data shown for the prior year reflect 

adjustments made at the beginning of each year, usually 

implemented with the issuance of January estimates. The 

adjusted model-based estimates typically reflect updated 

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

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

estimates then are re-estimated using updated inputs and 

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

2015, a new generation of time-series models was

implemented, resulting in the replacement of data back to the 

series beginnings. At the same time, enhancements were made 

to the substate estimation methodology, and more timely inputs 

from the American Community Survey were incorporated.

Employment—from the CES program 

Definitions. Employment data refer to persons on 

establishment payrolls who receive pay for any part of the pay 

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

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

those appearing on more than one payroll are counted on each 

payroll. Industries are classified on the basis of their principal 

activity in accordance with the 2017 version of the North 

American Industry Classification System. 

Method of estimation. CES State and Area employment 

data are produced using several estimation procedures. Where 

possible these data are produced using a "weighted link 

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

weighted employment to that of the previous-month weighted 

employment is computed from a sample of establishments 

reporting for both months. The estimates of employment for the 

current month are then obtained by multiplying these ratios by 

the previous month’s employment estimates. The weighted link 

relative technique is utilized for data series where the sample 

size meets certain statistical criteria.

For some employment series, the sample of 

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

use the direct sample estimates (described above), combined 

with forecasts of historical (benchmarked) data to decrease 

volatility in estimation. Two different models (Fay-Herriot 

Model and Small Domain Model) are used depending on the 

industry level being estimated. For more detailed information 

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

Annual revisions. Employment estimates are adjusted 

annually to a complete count of jobs, called benchmarks, 

derived principally from tax reports that are submitted by 

employers who are covered under state unemployment 

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

adjust the monthly estimates between the new benchmark and 

the preceding one and also to establish the level of employment 

for the new benchmark month. Thus, the benchmarking process 

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

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

subsequent months. 

Seasonal adjustment. Payroll employment data are 

seasonally adjusted for states, metropolitan areas, and 

metropolitan divisions at the total nonfarm level. For states, 

data are seasonally adjusted at the supersector level as well. 

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

once a year, coincident with annual benchmark adjustments.

Reliability of the estimates

The estimates presented in this release are based on 

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

are subject to sampling and other types of errors. Sampling 

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

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding.

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

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

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

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

Employment estimates. Measures of sampling error for 

the total nonfarm employment series are available for 

metropolitan areas and metropolitan divisions at 

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

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

available upon request. Measures of sampling error for states 

down to the supersector level are available on the BLS website 

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

nonsampling error are not available for the areas contained in 

this news release. Information on recent benchmark revisions 

is available online at www.bls.gov/web/laus/benchmark.pdf. 

Area definitions

The substate area data published in this release reflect the 

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

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

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

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

geographic definitions is available online at 

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

Additional information

Estimates of unadjusted and seasonally adjusted civilian

labor force and unemployment data for states and seven 

substate areas are available in the news release State 

Employment and Unemployment. Estimates of civilian labor 

force and unemployment for all states, metropolitan areas, 

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

areas used in the administration of various federal economic 

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

Employment data from the CES program are available on the 

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

Information in this release will be made available to 

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

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

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,166,222 2,150,786 2,140,002 131,097 73,328 88,788 6.1 3.4 4.1

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,837 45,160 45,295 3,072 1,735 2,114 6.7 3.8 4.7

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,573 73,629 72,659 3,801 2,195 2,709 5.2 3.0 3.7

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 534,887 530,510 530,331 29,799 16,199 19,562 5.6 3.1 3.7

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 88,839 90,000 88,762 5,110 2,995 3,547 5.8 3.3 4.0

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,466 68,153 67,964 4,023 2,225 2,720 5.9 3.3 4.0

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,730 61,087 60,437 3,744 2,178 2,598 6.1 3.6 4.3

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,367 63,715 63,403 4,425 2,447 2,994 6.8 3.8 4.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,913 42,789 42,485 2,678 1,503 1,818 6.2 3.5 4.3

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,777 216,294 214,587 11,278 6,377 7,814 5.3 2.9 3.6

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,783 185,116 184,874 13,391 7,589 9,173 7.1 4.1 5.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,293 171,483 170,380 9,744 5,642 6,837 5.7 3.3 4.0

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 112,769 112,752 112,269 6,663 3,615 4,422 5.9 3.2 3.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,885 357,686 357,615 27,889 25,985 29,053 7.8 7.3 8.1

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 204,357 203,924 202,511 14,046 13,165 14,516 6.9 6.5 7.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,018 46,717 45,805 3,244 3,050 3,414 7.0 6.5 7.5

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,269,210 3,347,605 3,349,661 171,978 153,192 170,187 5.3 4.6 5.1

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,162 74,643 74,682 4,918 4,080 4,709 6.7 5.5 6.3

Lake Havasu City-Kingman. . . . . . . . . . . . 80,867 82,613 83,363 5,432 4,804 5,351 6.7 5.8 6.4

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,270,052 2,333,416 2,336,851 105,376 93,438 105,081 4.6 4.0 4.5

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,726 101,769 101,455 5,152 4,356 4,966 5.2 4.3 4.9

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,718 49,092 48,049 3,021 2,671 2,999 6.1 5.4 6.2

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,673 478,934 481,968 23,221 20,325 22,794 4.9 4.2 4.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,843 96,282 93,232 13,884 13,889 13,628 14.8 14.4 14.6

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,324,831 1,342,354 1,326,514 55,766 48,463 57,887 4.2 3.6 4.4

Fayetteville-Springdale-Rogers. . . . . . . . . 264,021 270,541 267,582 7,682 7,326 8,470 2.9 2.7 3.2

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,402 118,045 117,169 5,494 4,904 5,563 4.6 4.2 4.7

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 39,842 39,164 39,671 1,828 1,542 1,881 4.6 3.9 4.7

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,404 63,720 63,080 2,268 1,894 2,407 3.6 3.0 3.8

Little Rock-North Little Rock-Conway. . . . 347,603 353,050 348,679 12,769 11,735 13,414 3.7 3.3 3.8

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,836 34,995 34,271 1,975 1,705 1,967 5.7 4.9 5.7

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,134,501 19,318,482 19,294,630 1,075,469 803,663 886,694 5.6 4.2 4.6

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 383,881 379,014 382,705 43,063 31,864 35,060 11.2 8.4 9.2

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,714 102,747 102,352 7,366 5,214 5,741 7.2 5.1 5.6

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,503 72,599 72,790 15,131 12,328 12,350 19.8 17.0 17.0

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 444,058 446,057 447,868 46,233 35,973 39,057 10.4 8.1 8.7

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,564 56,865 56,919 6,554 4,774 5,115 11.4 8.4 9.0

Los Angeles-Long Beach-Anaheim. . . . . 6,671,157 6,759,004 6,739,879 328,693 258,337 293,342 4.9 3.8 4.4

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,293 61,275 62,451 6,350 4,580 5,018 10.2 7.5 8.0

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,128 115,327 113,655 13,665 10,135 11,272 12.1 8.8 9.9

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240,041 240,702 241,766 21,923 16,261 17,885 9.1 6.8 7.4

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,612 70,959 71,692 3,556 2,590 2,828 5.0 3.6 3.9

Oxnard-Thousand Oaks-Ventura. . . . . . . 424,409 425,379 424,214 23,071 17,036 18,242 5.4 4.0 4.3

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,609 74,008 74,339 5,464 3,772 4,180 7.3 5.1 5.6

Riverside-San Bernardino-Ontario. . . . . . 2,012,467 2,049,189 2,045,139 117,345 86,205 92,433 5.8 4.2 4.5

Sacramento--Roseville--Arden-Arcade. . . 1,072,291 1,082,397 1,083,505 58,821 41,280 45,139 5.5 3.8 4.2

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207,434 205,677 208,171 23,955 17,545 19,849 11.5 8.5 9.5

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,576,177 1,583,504 1,581,873 74,295 52,874 56,914 4.7 3.3 3.6

San Francisco-Oakland-Hayward. . . . . . . 2,550,072 2,582,816 2,574,133 98,574 70,587 76,328 3.9 2.7 3.0

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,078,401 1,078,566 1,074,946 41,228 29,460 31,955 3.8 2.7 3.0

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,887 139,964 141,460 6,208 4,241 4,687 4.5 3.0 3.3

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 139,932 141,374 142,461 11,015 7,928 9,963 7.9 5.6 7.0

Santa Maria-Santa Barbara. . . . . . . . . . . . 212,133 213,851 212,028 13,106 9,090 10,412 6.2 4.3 4.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 258,637 262,894 261,899 10,830 7,487 8,059 4.2 2.8 3.1

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 320,540 325,202 327,095 27,704 20,770 22,759 8.6 6.4 7.0

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 207,389 208,886 207,992 12,029 8,588 9,220 5.8 4.1 4.4

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 203,352 202,415 203,493 25,709 20,672 22,145 12.6 10.2 10.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,977 73,207 73,566 7,638 5,691 6,319 10.6 7.8 8.6

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,921,097 3,031,829 3,016,296 93,987 89,514 100,974 3.2 3.0 3.3

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,968 189,048 185,996 4,701 4,800 5,315 2.6 2.5 2.9

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 329,419 341,600 340,424 12,002 11,665 13,270 3.6 3.4 3.9

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,552,683 1,607,274 1,601,100 47,320 45,913 51,404 3.0 2.9 3.2

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 188,038 196,349 194,564 5,321 4,898 5,701 2.8 2.5 2.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 71,390 74,943 74,198 3,983 3,052 3,545 5.6 4.1 4.8

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,923 160,310 159,542 4,833 4,276 4,973 3.2 2.7 3.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,063 75,134 74,712 3,502 3,458 3,833 4.7 4.6 5.1

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,913,714 1,895,645 1,889,133 105,609 75,196 99,821 5.5 4.0 5.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 470,067 462,497 459,638 25,628 18,152 23,674 5.5 3.9 5.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,279 107,260 106,729 5,210 3,367 4,775 4.8 3.1 4.5

Hartford-West Hartford-East Hartford. . . . 626,054 622,822 624,006 34,246 24,860 32,948 5.5 4.0 5.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 328,338 324,271 321,809 17,678 12,678 16,728 5.4 3.9 5.2

Norwich-New London-Westerly. . . . . . . . . 143,509 142,890 142,739 8,092 5,695 7,581 5.6 4.0 5.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Connecticut - Continued

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,300 111,055 110,500 7,689 5,642 7,415 6.8 5.1 6.7

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473,939 477,137 478,773 23,805 19,425 22,678 5.0 4.1 4.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,631 78,421 79,351 4,123 3,268 3,984 5.2 4.2 5.0

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 181,294 184,462 184,315 13,925 11,618 13,191 7.7 6.3 7.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . 397,637 400,171 401,814 24,698 21,616 22,251 6.2 5.4 5.5

Washington-Arlington-Alexandria. . . . . . . 3,354,798 3,374,002 3,390,456 135,954 111,925 127,215 4.1 3.3 3.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,961,431 10,091,645 10,136,137 478,626 371,952 417,073 4.8 3.7 4.1

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 336,367 335,977 337,120 15,613 11,378 13,015 4.6 3.4 3.9

Crestview-Fort Walton Beach-Destin. . . . 119,561 124,889 125,132 5,311 3,750 4,457 4.4 3.0 3.6

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,207 296,812 298,334 15,387 11,412 13,028 5.3 3.8 4.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 141,982 141,948 143,313 6,309 4,663 5,551 4.4 3.3 3.9

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,105 46,976 47,378 3,305 2,522 2,848 7.0 5.4 6.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 741,127 764,202 763,634 34,650 25,653 29,480 4.7 3.4 3.9

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 288,786 294,095 297,494 15,904 11,934 13,655 5.5 4.1 4.6

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,101,548 3,143,056 3,141,465 147,231 125,395 133,541 4.7 4.0 4.3

Naples-Immokalee-Marco Island. . . . . . . . 173,453 167,048 172,916 7,826 6,069 6,734 4.5 3.6 3.9

North Port-Sarasota-Bradenton. . . . . . . . . 356,647 360,816 363,606 16,447 11,957 13,867 4.6 3.3 3.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,047 132,789 132,802 7,871 5,814 6,622 5.9 4.4 5.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,272,879 1,312,284 1,317,185 56,976 42,832 49,093 4.5 3.3 3.7

Palm Bay-Melbourne-Titusville. . . . . . . . . 266,087 263,737 266,840 13,382 9,687 11,189 5.0 3.7 4.2

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 91,361 92,961 93,663 4,933 3,535 4,157 5.4 3.8 4.4

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 217,803 220,868 223,233 10,797 7,797 9,532 5.0 3.5 4.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 208,236 208,664 210,205 11,495 8,832 9,919 5.5 4.2 4.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,152 70,553 70,661 3,773 2,793 3,156 5.4 4.0 4.5

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,437 62,930 63,634 3,614 2,734 3,032 5.7 4.3 4.8

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,649 35,199 35,548 2,321 1,782 1,978 6.3 5.1 5.6

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 188,647 190,700 192,607 9,165 6,505 7,708 4.9 3.4 4.0

Tampa-St. Petersburg-Clearwater. . . . . . 1,487,362 1,510,609 1,521,274 69,153 51,985 59,824 4.6 3.4 3.9

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,001 30,054 30,437 2,161 1,587 1,802 7.2 5.3 5.9

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,999,275 5,090,476 5,109,078 271,227 218,200 233,101 5.4 4.3 4.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,181 68,904 69,221 4,245 3,381 3,583 6.1 4.9 5.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 98,740 100,971 102,380 4,827 3,984 4,122 4.9 3.9 4.0

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,983,225 3,056,722 3,055,559 153,890 125,582 131,579 5.2 4.1 4.3

Augusta-Richmond County. . . . . . . . . . . . . 264,462 270,651 273,172 15,348 12,368 13,999 5.8 4.6 5.1

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,535 52,719 52,394 2,935 2,300 2,385 5.6 4.4 4.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,683 125,462 125,913 8,224 6,228 7,200 6.6 5.0 5.7

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,417 61,067 62,243 4,345 3,450 4,168 7.1 5.6 6.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 98,576 101,733 101,994 4,532 3,527 3,700 4.6 3.5 3.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,115 33,617 33,901 2,038 1,608 1,679 6.2 4.8 5.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,617 105,858 106,629 6,196 4,994 5,436 5.9 4.7 5.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,206 44,320 44,569 2,758 1,992 2,110 6.2 4.5 4.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,824 184,906 185,622 9,197 7,368 7,800 5.1 4.0 4.2

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,826 64,927 65,496 3,448 2,768 2,976 5.3 4.3 4.5

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,716 85,063 86,330 4,862 3,786 4,295 5.7 4.5 5.0

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689,890 682,638 684,967 19,417 12,014 14,091 2.8 1.8 2.1

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 87,251 85,513 86,288 2,741 1,522 1,823 3.1 1.8 2.1

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 475,542 471,688 472,460 12,628 8,075 9,449 2.7 1.7 2.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 815,245 840,982 840,156 35,223 24,269 32,522 4.3 2.9 3.9

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 339,235 351,553 353,318 13,998 9,461 12,800 4.1 2.7 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 73,961 75,745 76,248 4,031 2,943 3,851 5.5 3.9 5.1

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,572 68,637 69,064 2,423 1,605 2,298 3.6 2.3 3.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,215 31,940 32,128 1,342 986 1,299 4.3 3.1 4.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,103 42,808 42,263 1,682 1,188 1,533 4.1 2.8 3.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,463,342 6,464,968 6,409,025 396,820 302,301 338,868 6.1 4.7 5.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 95,147 95,373 93,918 5,257 3,481 3,864 5.5 3.6 4.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 59,493 59,046 57,910 3,737 2,533 2,736 6.3 4.3 4.7

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 119,137 119,719 118,471 6,586 4,437 4,951 5.5 3.7 4.2

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,874,417 4,894,663 4,847,749 282,450 231,734 260,731 5.8 4.7 5.4

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,500 33,613 33,641 2,691 1,907 2,035 7.8 5.7 6.0

Davenport-Moline-Rock Island1. . . . . . . . . 189,670 189,150 188,683 11,591 7,662 8,926 6.1 4.1 4.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,664 48,680 48,702 3,477 2,467 2,586 7.0 5.1 5.3

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,881 56,742 55,656 4,096 2,824 3,042 7.3 5.0 5.5

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,207 174,815 174,691 13,581 8,417 9,323 7.7 4.8 5.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165,815 164,825 162,557 17,041 8,026 8,579 10.3 4.9 5.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,298 108,369 107,376 6,198 4,213 4,684 5.6 3.9 4.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,297,408 3,280,820 3,267,470 147,369 100,908 116,349 4.5 3.1 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 77,175 75,572 74,423 3,506 2,326 2,849 4.5 3.1 3.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,372 44,141 44,395 1,519 1,021 1,237 3.4 2.3 2.8

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 109,559 112,104 112,676 3,491 2,372 2,714 3.2 2.1 2.4

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,108 160,568 159,131 6,909 4,437 5,063 4.3 2.8 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

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Indiana - Continued

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 210,825 209,676 209,890 8,949 5,729 6,793 4.2 2.7 3.2

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,029,761 1,029,258 1,030,468 41,534 29,290 33,209 4.0 2.8 3.2

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,540 37,981 38,106 1,781 1,152 1,344 4.7 3.0 3.5

Lafayette-West Lafayette. . . . . . . . . . . . . . 109,911 107,356 108,284 4,343 2,965 3,483 4.0 2.8 3.2

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,807 46,711 45,759 3,007 1,918 2,322 6.3 4.1 5.1

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,554 54,555 54,133 2,884 1,988 2,208 5.2 3.6 4.1

South Bend-Mishawaka. . . . . . . . . . . . . . . 158,441 157,853 157,684 7,361 5,442 6,086 4.6 3.4 3.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,488 75,934 75,205 4,304 2,936 3,530 5.6 3.9 4.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,672,857 1,664,423 1,659,476 72,507 47,974 59,893 4.3 2.9 3.6

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,543 58,060 57,229 1,372 903 1,057 2.4 1.6 1.8

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 142,340 141,463 142,149 6,325 4,561 5,600 4.4 3.2 3.9

Des Moines-West Des Moines. . . . . . . . . 345,574 344,073 345,594 13,601 8,924 11,514 3.9 2.6 3.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,874 54,324 54,207 2,434 1,607 2,068 4.4 3.0 3.8

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,240 96,212 96,556 3,130 2,061 2,409 3.2 2.1 2.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,165 89,730 89,714 3,842 2,701 3,241 4.3 3.0 3.6

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 90,168 87,387 86,865 4,783 2,831 3,351 5.3 3.2 3.9

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473,335 1,471,948 1,463,524 62,172 44,738 50,994 4.2 3.0 3.5

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,346 65,592 63,870 2,287 1,684 1,915 3.6 2.6 3.0

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 45,479 47,435 44,184 1,563 1,167 1,267 3.4 2.5 2.9

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,043 118,135 119,318 5,348 3,620 4,368 4.4 3.1 3.7

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,806 304,501 304,255 14,412 10,687 11,651 4.7 3.5 3.8

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,025,656 2,038,066 2,024,976 119,983 77,872 86,632 5.9 3.8 4.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 80,342 82,586 81,346 4,069 2,678 3,070 5.1 3.2 3.8

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,704 65,418 65,537 3,788 2,385 2,672 5.8 3.6 4.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 268,423 270,791 268,722 11,508 7,898 8,482 4.3 2.9 3.2

Louisville/Jefferson County. . . . . . . . . . . . . 647,851 659,783 650,102 31,031 21,534 23,392 4.8 3.3 3.6

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,290 55,486 55,682 3,003 2,096 2,312 5.4 3.8 4.2

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,083,942 2,103,197 2,111,818 128,914 84,742 93,973 6.2 4.0 4.4

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,797 64,425 64,644 4,336 2,924 3,213 6.8 4.5 5.0

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 412,414 418,474 418,869 22,234 14,654 16,478 5.4 3.5 3.9

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,088 55,366 55,716 3,672 2,449 2,716 6.8 4.4 4.9

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 87,973 87,962 88,352 6,146 3,665 4,079 7.0 4.2 4.6

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,940 210,894 211,650 14,802 8,928 9,826 7.0 4.2 4.6

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 108,029 113,685 114,313 5,179 3,613 3,996 4.8 3.2 3.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,084 80,171 80,329 5,090 3,373 3,771 6.4 4.2 4.7

New Orleans-Metairie. . . . . . . . . . . . . . . . . 588,683 596,574 599,733 32,752 22,334 24,730 5.6 3.7 4.1

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,183 186,877 187,383 12,084 8,096 8,711 6.5 4.3 4.6

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 688,389 692,068 688,658 27,862 18,043 23,106 4.0 2.6 3.4

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,435 70,344 69,147 2,777 1,821 2,306 3.9 2.6 3.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,292 55,907 55,662 2,014 1,298 1,670 3.6 2.3 3.0

Portland-South Portland. . . . . . . . . . . . . . . 205,007 206,896 206,253 6,202 4,092 5,257 3.0 2.0 2.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,190,881 3,198,599 3,205,095 150,410 122,544 149,087 4.7 3.8 4.7

Baltimore-Columbia-Towson. . . . . . . . . . . 1,485,104 1,491,100 1,495,386 71,541 57,615 69,986 4.8 3.9 4.7

California-Lexington Park. . . . . . . . . . . . . . 55,108 54,858 55,335 2,382 1,994 2,539 4.3 3.6 4.6

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,119 44,452 44,173 3,170 2,435 3,029 7.2 5.5 6.9

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 129,871 131,761 131,270 6,356 5,204 6,281 4.9 3.9 4.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,627,043 3,636,531 3,651,720 162,189 111,847 145,884 4.5 3.1 4.0

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 116,397 118,582 118,485 8,115 5,047 7,421 7.0 4.3 6.3

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,682,905 2,687,037 2,700,145 104,471 74,427 94,365 3.9 2.8 3.5

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 77,687 78,037 78,525 3,982 2,747 3,703 5.1 3.5 4.7

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,004 83,702 85,204 6,162 3,955 5,964 7.2 4.7 7.0

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,219 43,142 42,981 2,425 1,695 2,254 5.6 3.9 5.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 366,615 368,225 366,889 20,327 13,521 17,649 5.5 3.7 4.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 351,041 352,220 353,444 16,566 11,423 14,957 4.7 3.2 4.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,834,917 4,875,550 4,834,934 274,946 216,550 254,758 5.7 4.4 5.3

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 190,607 194,270 191,554 7,111 6,010 6,987 3.7 3.1 3.6

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,666 63,221 62,733 3,508 3,128 3,385 5.5 4.9 5.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,247 50,683 50,912 3,492 2,777 3,442 6.8 5.5 6.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,091,883 2,111,754 2,082,971 119,363 86,219 101,103 5.7 4.1 4.9

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,930 182,447 180,892 12,000 10,434 11,976 6.6 5.7 6.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 565,011 573,055 570,371 22,794 20,073 22,738 4.0 3.5 4.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,945 74,214 73,919 4,165 3,271 4,006 5.6 4.4 5.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 166,889 168,443 166,933 8,613 7,508 8,350 5.2 4.5 5.0

Lansing-East Lansing. . . . . . . . . . . . . . . . . 248,442 249,000 249,854 11,457 9,710 12,600 4.6 3.9 5.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,374 39,945 39,807 2,326 1,852 2,255 5.8 4.6 5.7

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,478 75,868 75,644 3,697 3,125 4,011 4.9 4.1 5.3

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,068 77,682 77,307 4,775 4,096 4,538 6.2 5.3 5.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 72,392 72,764 72,139 4,415 3,698 4,183 6.1 5.1 5.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,563 87,276 86,993 5,610 4,648 5,705 6.4 5.3 6.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,040,215 3,061,445 3,087,785 143,494 103,858 124,159 4.7 3.4 4.0

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,833 144,098 145,896 9,159 6,335 7,312 6.4 4.4 5.0

Mankato-North Mankato. . . . . . . . . . . . . . . 60,432 61,474 62,414 2,241 1,554 1,980 3.7 2.5 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

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Minnesota - Continued

Minneapolis-St. Paul-Bloomington. . . . . . 1,964,171 1,983,223 2,002,421 79,115 58,600 67,749 4.0 3.0 3.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,567 121,405 121,831 4,910 3,478 4,390 4.1 2.9 3.6

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,316 112,590 113,244 5,764 4,055 5,136 5.1 3.6 4.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,276,189 1,277,300 1,258,859 77,435 56,337 57,420 6.1 4.4 4.6

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 165,169 163,658 162,614 10,476 7,597 7,587 6.3 4.6 4.7

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,867 69,245 67,881 3,677 2,601 2,666 5.3 3.8 3.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270,548 272,482 270,597 13,488 10,198 10,318 5.0 3.7 3.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,031,770 3,020,519 2,996,565 135,084 99,395 121,960 4.5 3.3 4.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,385 48,119 47,152 2,214 1,564 1,817 4.7 3.3 3.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,246 97,854 94,284 2,812 2,183 2,713 3.0 2.2 2.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 75,319 73,213 73,098 2,723 1,987 2,569 3.6 2.7 3.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,428 84,277 83,596 3,134 2,406 2,781 3.7 2.9 3.3

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,121,495 1,123,293 1,119,894 49,966 36,577 44,469 4.5 3.3 4.0

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,615 64,821 64,365 2,699 1,845 2,252 4.1 2.8 3.5

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,450,831 1,444,413 1,431,903 63,194 48,434 55,653 4.4 3.4 3.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 226,977 228,709 227,978 8,358 6,300 7,571 3.7 2.8 3.3

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518,281 522,394 520,150 26,010 22,008 26,502 5.0 4.2 5.1

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,701 86,898 85,992 3,746 3,110 3,778 4.3 3.6 4.4

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,831 38,075 37,885 1,779 1,491 1,815 4.7 3.9 4.8

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,626 62,367 61,185 2,777 2,461 2,938 4.5 3.9 4.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997,092 1,001,779 1,000,205 35,531 28,001 30,752 3.6 2.8 3.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,651 42,870 43,627 2,528 1,329 2,084 5.8 3.1 4.8

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,317 177,836 175,823 5,432 4,390 4,665 3.1 2.5 2.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 474,542 478,265 474,570 16,947 13,629 14,967 3.6 2.8 3.2

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,440,271 1,476,211 1,474,324 80,288 69,474 77,280 5.6 4.7 5.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,903 26,054 25,906 1,607 1,217 1,497 6.5 4.7 5.8

Las Vegas-Henderson-Paradise. . . . . . . . 1,063,055 1,082,372 1,083,422 59,295 53,769 58,351 5.6 5.0 5.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,811 245,311 242,930 12,175 9,022 10,908 5.2 3.7 4.5

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 744,046 740,737 744,354 24,220 16,849 22,917 3.3 2.3 3.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 81,552 84,788 83,242 2,371 1,695 2,300 2.9 2.0 2.8

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 117,689 115,281 116,688 3,702 2,503 3,405 3.1 2.2 2.9

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 74,615 75,802 75,693 2,150 1,571 2,050 2.9 2.1 2.7

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,491,221 4,479,374 4,457,434 225,051 186,168 213,611 5.0 4.2 4.8

Atlantic City-Hammonton. . . . . . . . . . . . . . 119,483 120,473 119,552 10,355 8,110 9,255 8.7 6.7 7.7

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 40,811 43,543 42,594 6,091 5,328 6,136 14.9 12.2 14.4

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,650 198,071 197,968 8,672 7,144 8,265 4.4 3.6 4.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,804 67,338 66,986 5,246 4,643 5,419 7.9 6.9 8.1

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 923,909 937,403 934,178 62,251 51,696 53,774 6.7 5.5 5.8

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 421,699 430,911 428,751 25,290 22,096 22,837 6.0 5.1 5.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,276 53,564 53,334 4,846 3,281 3,426 9.1 6.1 6.4

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 93,323 94,214 92,784 6,960 5,929 6,423 7.5 6.3 6.9

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,769 73,571 72,956 3,865 3,379 3,495 5.4 4.6 4.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,619,811 9,586,148 9,660,257 504,064 424,725 495,166 5.2 4.4 5.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . 447,408 445,967 451,371 22,062 18,846 22,556 4.9 4.2 5.0

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 108,417 106,915 107,859 7,166 5,906 7,302 6.6 5.5 6.8

Buffalo-Cheektowaga-Niagara Falls. . . . . 545,953 542,119 548,400 33,783 29,731 33,776 6.2 5.5 6.2

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,187 35,087 35,565 2,234 1,932 2,222 6.2 5.5 6.2

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,681 59,016 59,872 3,865 3,430 4,061 6.5 5.8 6.8

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,637 50,099 48,898 2,307 1,986 2,318 4.7 4.0 4.7

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,618 87,559 87,576 4,623 3,920 4,707 5.3 4.5 5.4

New York-Newark-Jersey City. . . . . . . . . . 10,030,596 10,004,301 10,031,340 487,480 402,975 466,362 4.9 4.0 4.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 520,546 518,223 521,682 28,669 25,878 29,304 5.5 5.0 5.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,715 303,285 304,775 17,902 15,785 18,311 5.8 5.2 6.0

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,986 127,185 129,058 7,887 7,005 8,174 6.1 5.5 6.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,738 44,552 45,199 3,726 3,257 3,808 8.3 7.3 8.4

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,862,112 4,927,249 4,936,295 254,184 213,913 230,510 5.2 4.3 4.7

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224,833 229,703 230,201 9,767 8,077 8,630 4.3 3.5 3.7

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,044 79,511 79,310 3,782 3,197 3,392 4.8 4.0 4.3

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,291,279 1,325,794 1,327,870 62,935 54,028 58,969 4.9 4.1 4.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 289,915 293,411 294,061 13,157 11,149 11,821 4.5 3.8 4.0

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,511 147,423 147,973 9,566 8,166 8,745 6.5 5.5 5.9

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,145 52,799 52,863 3,118 2,567 2,700 5.9 4.9 5.1

Greensboro-High Point. . . . . . . . . . . . . . . . 365,421 366,857 366,781 19,433 16,710 18,049 5.3 4.6 4.9

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,377 89,043 89,296 4,824 4,072 4,357 5.5 4.6 4.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 172,413 172,452 173,853 8,406 6,960 7,301 4.9 4.0 4.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 63,787 63,730 64,005 3,752 3,173 3,371 5.9 5.0 5.3

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,417 51,038 51,086 2,776 2,374 2,492 5.4 4.7 4.9

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681,221 696,216 699,287 30,419 26,356 27,931 4.5 3.8 4.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,914 65,155 64,526 4,886 4,079 4,445 7.4 6.3 6.9

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 141,923 144,433 143,633 7,127 6,170 6,545 5.0 4.3 4.6

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 321,280 323,295 324,824 15,771 13,375 14,282 4.9 4.1 4.4

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 408,548 406,978 407,849 14,617 10,669 13,853 3.6 2.6 3.4

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

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

North Dakota - Continued

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,435 68,652 69,351 2,494 1,952 2,576 3.6 2.8 3.7

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,441 137,080 138,350 4,507 3,402 4,490 3.3 2.5 3.2

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,965 56,018 56,598 2,059 1,550 1,928 3.6 2.8 3.4

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,707,205 5,732,467 5,664,761 348,531 259,783 288,940 6.1 4.5 5.1

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,494 362,294 355,217 22,926 17,240 18,576 6.4 4.8 5.2

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 199,309 200,178 198,035 13,495 9,946 11,204 6.8 5.0 5.7

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,087,680 1,099,941 1,086,218 56,065 42,151 45,140 5.2 3.8 4.2

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,020,714 1,005,220 1,009,745 67,500 48,039 56,457 6.6 4.8 5.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060,707 1,080,007 1,058,080 52,264 40,272 41,829 4.9 3.7 4.0

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383,239 394,624 385,154 21,689 16,747 17,526 5.7 4.2 4.6

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,439 48,828 47,850 3,064 2,160 2,313 6.3 4.4 4.8

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,014 52,962 52,389 3,623 2,802 2,995 6.8 5.3 5.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,292 63,483 62,202 3,804 2,826 2,897 6.0 4.5 4.7

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,191 303,401 299,640 18,414 14,510 15,873 6.1 4.8 5.3

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,559 50,282 49,629 4,220 3,221 3,683 8.3 6.4 7.4

Youngstown-Warren-Boardman. . . . . . . . 244,098 241,345 241,388 18,619 13,976 18,757 7.6 5.8 7.8

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,814,031 1,840,707 1,829,474 87,175 72,319 78,520 4.8 3.9 4.3

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28,389 27,411 27,061 1,258 948 1,034 4.4 3.5 3.8

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,116 51,816 51,834 2,401 2,173 2,374 4.6 4.2 4.6

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 658,049 674,115 668,191 27,621 23,654 25,773 4.2 3.5 3.9

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471,360 483,245 479,984 23,614 19,793 21,269 5.0 4.1 4.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,046,258 2,111,916 2,109,910 92,291 81,190 91,447 4.5 3.8 4.3

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,164 58,513 58,995 2,994 2,556 2,895 5.2 4.4 4.9

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 90,245 93,693 94,734 4,635 4,008 4,599 5.1 4.3 4.9

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,240 48,595 48,589 1,559 1,342 1,419 3.3 2.8 2.9

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,245 184,824 184,720 8,346 7,516 8,342 4.7 4.1 4.5

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 34,358 35,426 35,463 2,123 1,842 2,142 6.2 5.2 6.0

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,722 105,089 104,300 5,427 4,403 5,308 5.4 4.2 5.1

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,282,367 1,324,271 1,317,316 53,848 48,050 52,617 4.2 3.6 4.0

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,114 202,073 200,243 9,317 7,930 8,890 4.8 3.9 4.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,404,529 6,358,094 6,357,047 362,867 278,310 334,393 5.7 4.4 5.3

Allentown-Bethlehem-Easton. . . . . . . . . . . 436,318 429,942 431,075 24,041 18,458 22,833 5.5 4.3 5.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,143 58,860 58,920 3,469 2,518 2,987 5.8 4.3 5.1

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,509 42,101 42,328 2,634 1,961 2,546 6.2 4.7 6.0

Chambersburg-Waynesboro. . . . . . . . . . . 76,948 75,954 76,575 4,111 2,867 3,507 5.3 3.8 4.6

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 82,192 80,712 81,418 5,413 4,322 5,211 6.6 5.4 6.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,423 128,656 128,579 9,328 6,605 7,810 7.1 5.1 6.1

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,697 54,880 55,211 2,397 1,766 2,258 4.4 3.2 4.1

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 294,145 291,194 291,339 13,419 10,965 12,896 4.6 3.8 4.4

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 60,110 58,819 58,891 4,374 3,112 3,765 7.3 5.3 6.4

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 276,141 276,098 276,208 12,219 9,114 11,395 4.4 3.3 4.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,501 69,766 69,228 3,208 2,637 3,180 4.6 3.8 4.6

Philadelphia-Camden-Wilmington. . . . . . . 3,083,302 3,072,899 3,069,574 156,661 129,057 149,230 5.1 4.2 4.9

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,204,112 1,200,452 1,198,015 73,077 53,541 65,120 6.1 4.5 5.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,977 209,796 210,478 11,020 8,371 10,309 5.2 4.0 4.9

Scranton--Wilkes-Barre--Hazleton. . . . . . . 278,295 278,144 278,092 18,029 13,833 16,910 6.5 5.0 6.1

State College. . . . . . . . . . . . . . . . . . . . . . . . 75,907 79,021 75,434 3,341 2,555 3,010 4.4 3.2 4.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 58,436 56,590 56,916 4,016 3,050 3,577 6.9 5.4 6.3

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 235,191 231,412 232,900 11,351 8,686 10,810 4.8 3.8 4.6

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 550,631 556,897 553,971 30,506 23,412 29,414 5.5 4.2 5.3

Providence-Warwick. . . . . . . . . . . . . . . . . . 679,708 685,055 684,012 38,228 27,946 36,288 5.6 4.1 5.3

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,286,257 2,300,845 2,311,069 111,744 96,152 116,489 4.9 4.2 5.0

Charleston-North Charleston. . . . . . . . . . . 372,222 373,329 374,597 15,519 12,958 15,783 4.2 3.5 4.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,941 398,003 398,956 18,022 16,456 19,357 4.5 4.1 4.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,978 94,710 95,274 5,064 4,476 5,282 5.3 4.7 5.5

Greenville-Anderson-Mauldin. . . . . . . . . . . 420,055 423,770 427,009 18,221 15,453 19,198 4.3 3.6 4.5

Hilton Head Island-Bluffton-Beaufort. . . . 83,724 84,654 84,881 3,884 3,278 4,058 4.6 3.9 4.8

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,078 186,457 188,222 12,925 10,713 13,176 7.0 5.7 7.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 156,534 158,490 158,443 7,170 6,121 7,426 4.6 3.9 4.7

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,232 43,797 44,738 2,571 2,207 2,631 5.8 5.0 5.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 446,373 453,465 453,811 16,731 15,962 17,827 3.7 3.5 3.9

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 70,788 72,653 72,711 2,873 2,694 2,935 4.1 3.7 4.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,857 149,739 150,086 4,587 4,399 5,072 3.1 2.9 3.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,155,420 3,202,657 3,191,120 157,652 98,979 120,411 5.0 3.1 3.8

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 262,267 268,117 268,123 13,058 8,952 10,368 5.0 3.3 3.9

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,280 110,843 110,959 6,423 4,123 4,721 5.8 3.7 4.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,015 60,259 56,671 2,821 1,793 2,184 4.9 3.0 3.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,142 63,776 63,143 3,273 2,182 2,597 5.2 3.4 4.1

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 89,446 89,953 88,628 5,064 3,106 3,793 5.7 3.5 4.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,995 136,440 136,832 7,342 4,682 5,540 5.4 3.4 4.0

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413,883 416,712 418,001 19,406 12,017 14,639 4.7 2.9 3.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Tennessee - Continued

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 622,844 634,912 626,608 33,641 23,226 26,304 5.4 3.7 4.2

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,228 51,154 51,186 2,800 1,701 2,259 5.5 3.3 4.4

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 987,444 1,015,902 1,013,543 37,174 24,250 28,739 3.8 2.4 2.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,417,349 13,598,061 13,622,067 668,364 501,845 567,978 5.0 3.7 4.2

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,676 75,877 76,040 3,098 2,360 2,701 4.1 3.1 3.6

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,285 131,511 131,333 4,435 3,264 3,714 3.4 2.5 2.8

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,134,272 1,164,240 1,170,947 39,820 31,139 34,952 3.5 2.7 3.0

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 176,286 173,771 175,909 14,447 11,537 12,838 8.2 6.6 7.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 167,248 164,111 165,770 13,646 9,743 11,292 8.2 5.9 6.8

College Station-Bryan. . . . . . . . . . . . . . . . . 125,900 131,772 131,605 4,773 3,562 4,091 3.8 2.7 3.1

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 208,664 206,176 205,690 14,158 10,884 12,043 6.8 5.3 5.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,745,524 3,827,120 3,825,076 153,176 120,795 137,667 4.1 3.2 3.6

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,972 355,795 356,875 18,661 14,453 16,252 5.3 4.1 4.6

Houston-The Woodlands-Sugar Land. . . 3,304,468 3,343,410 3,350,311 192,119 144,195 161,595 5.8 4.3 4.8

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 174,646 174,626 175,022 8,431 6,368 7,244 4.8 3.6 4.1

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,558 114,790 115,293 5,831 3,908 4,491 5.1 3.4 3.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,626 96,993 97,231 6,430 3,999 4,473 6.6 4.1 4.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,150 160,924 161,054 5,445 4,327 4,963 3.4 2.7 3.1

McAllen-Edinburg-Mission. . . . . . . . . . . . . 345,057 343,867 346,619 31,183 22,862 26,408 9.0 6.6 7.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,369 94,704 95,614 3,576 2,141 2,329 4.0 2.3 2.4

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,964 79,431 79,706 4,378 2,403 2,619 5.8 3.0 3.3

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,581 54,719 54,630 2,468 1,612 1,833 4.5 2.9 3.4

San Antonio-New Braunfels. . . . . . . . . . . . 1,153,019 1,171,978 1,171,899 45,608 35,143 39,967 4.0 3.0 3.4

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 61,200 62,045 61,824 2,449 1,844 2,123 4.0 3.0 3.4

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,584 64,594 64,368 3,284 2,609 3,073 5.1 4.0 4.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,276 106,787 106,731 5,021 3,708 4,089 4.8 3.5 3.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,306 45,778 45,515 2,759 1,803 2,017 6.0 3.9 4.4

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,242 124,032 124,204 5,109 4,082 4,674 4.1 3.3 3.8

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,639 64,658 64,903 2,865 2,005 2,312 4.4 3.1 3.6

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,533,230 1,577,752 1,569,425 54,321 44,924 49,129 3.5 2.8 3.1

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,951 70,736 69,870 2,114 1,599 1,812 3.1 2.3 2.6

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 318,140 326,295 324,565 11,364 9,683 10,535 3.6 3.0 3.2

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 292,113 304,146 302,806 9,053 7,485 8,123 3.1 2.5 2.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 68,242 71,500 71,202 2,629 2,301 2,492 3.9 3.2 3.5

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 643,948 661,109 656,465 20,860 17,971 19,477 3.2 2.7 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343,487 342,891 344,592 12,709 8,556 11,293 3.7 2.5 3.3

Burlington-South Burlington. . . . . . . . . . . . 123,426 123,521 123,094 3,434 2,402 3,021 2.8 1.9 2.5

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,250,782 4,274,412 4,280,035 185,374 142,929 156,865 4.4 3.3 3.7

Blacksburg-Christiansburg-Radford. . . . . 88,608 89,477 86,251 5,291 3,058 3,465 6.0 3.4 4.0

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 115,519 119,232 118,443 4,501 3,401 3,998 3.9 2.9 3.4

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,001 65,646 65,204 2,646 2,036 2,284 4.1 3.1 3.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,128 121,659 121,337 6,009 4,662 5,368 5.0 3.8 4.4

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 666,491 669,505 669,877 29,530 24,065 25,555 4.4 3.6 3.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,846 155,015 154,968 6,809 5,259 5,743 4.4 3.4 3.7

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 58,418 58,679 58,528 2,366 1,878 2,143 4.1 3.2 3.7

Virginia Beach-Norfolk-Newport News. . . 834,179 834,501 833,247 40,254 31,551 33,551 4.8 3.8 4.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,643 70,626 71,117 2,803 2,105 2,414 4.0 3.0 3.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,663,456 3,748,141 3,740,630 204,904 182,468 208,639 5.6 4.9 5.6

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,417 112,404 110,971 6,634 5,569 6,273 6.0 5.0 5.7

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 120,987 123,925 121,889 6,845 6,077 6,750 5.7 4.9 5.5

Kennewick-Richland. . . . . . . . . . . . . . . . . . 132,279 137,063 135,648 11,228 9,090 10,009 8.5 6.6 7.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,252 46,687 46,130 3,383 2,924 3,221 7.3 6.3 7.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,113 59,370 58,286 4,067 3,445 3,696 6.9 5.8 6.3

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 134,905 138,075 136,785 7,774 6,938 7,657 5.8 5.0 5.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,038,690 2,090,275 2,108,552 87,155 84,086 98,145 4.3 4.0 4.7

Spokane-Spokane Valley. . . . . . . . . . . . . . 263,623 266,013 260,657 18,273 15,686 18,010 6.9 5.9 6.9

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 28,945 31,003 30,329 2,115 1,672 1,922 7.3 5.4 6.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 60,269 61,704 60,543 4,698 3,711 4,297 7.8 6.0 7.1

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,723 120,980 120,022 13,181 9,843 11,308 11.2 8.1 9.4

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 768,887 773,775 776,029 47,255 40,372 45,394 6.1 5.2 5.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,695 44,618 44,909 3,048 2,623 2,822 6.8 5.9 6.3

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 94,061 94,473 94,503 5,558 4,977 5,403 5.9 5.3 5.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 145,471 146,651 144,989 9,902 7,663 8,743 6.8 5.2 6.0

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 65,131 67,848 67,956 3,063 2,645 2,990 4.7 3.9 4.4

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,341 38,274 38,148 2,543 2,206 2,450 6.6 5.8 6.4

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,169 64,716 64,296 5,013 3,486 4,288 7.7 5.4 6.7

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,107,321 3,132,675 3,126,200 125,018 84,035 96,542 4.0 2.7 3.1

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,698 132,118 132,538 4,624 3,277 3,716 3.5 2.5 2.8

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 91,360 93,012 91,456 3,859 2,560 2,932 4.2 2.8 3.2

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 56,599 57,560 57,212 1,945 1,282 1,555 3.4 2.2 2.7

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 173,585 173,987 174,670 6,416 4,402 5,162 3.7 2.5 3.0

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

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

Wisconsin - Continued

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,530 84,824 84,843 3,985 2,386 2,793 4.7 2.8 3.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,744 78,975 78,200 3,073 1,906 2,378 4.0 2.4 3.0

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381,109 390,310 387,183 11,288 7,692 9,006 3.0 2.0 2.3

Milwaukee-Waukesha-West Allis. . . . . . . 822,942 822,220 824,485 32,735 22,643 25,040 4.0 2.8 3.0

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,440 93,739 93,690 3,155 2,214 2,487 3.4 2.4 2.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,441 98,387 98,765 4,724 3,166 3,666 4.8 3.2 3.7

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 61,755 62,728 62,809 2,007 1,411 1,575 3.2 2.2 2.5

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,730 75,022 75,374 2,598 1,788 2,027 3.5 2.4 2.7

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293,765 289,592 287,074 16,787 11,632 13,076 5.7 4.0 4.6

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,161 39,476 39,252 3,027 1,981 2,107 7.5 5.0 5.4

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,159 47,661 47,278 2,323 1,739 2,016 4.7 3.6 4.3

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,119,964 1,110,787 1,098,935 130,462 109,768 117,735 11.6 9.9 10.7

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 91,271 90,176 89,577 15,153 12,075 13,113 16.6 13.4 14.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,359 53,191 52,628 7,823 6,485 7,087 14.7 12.2 13.5

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,082 21,581 21,437 3,992 3,468 3,675 18.1 16.1 17.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 29,073 27,714 26,938 4,112 3,109 3,369 14.1 11.2 12.5

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,903 94,789 93,312 14,945 11,797 12,467 15.4 12.4 13.4

San German. . . . . . . . . . . . . . . . . . . . . . . . . 37,257 35,782 34,896 5,961 4,920 5,204 16.0 13.7 14.9

San Juan-Carolina-Caguas. . . . . . . . . . . . 742,806 740,612 733,132 71,095 61,061 65,691 9.6 8.2 9.0

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. Data for 2017 have been revised to incorporate updated inputs and adjustment to new state controls. 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

Jan.

2017

Dec.

2017

Jan.

2018p

Number Percent of labor force

Jan.

2017

Dec.

2017

Jan.

2018p

Jan.

2017

Dec.

2017

Jan.

2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,134,501 19,318,482 19,294,630 1,075,469 803,663 886,694 5.6 4.2 4.6

Los Angeles-Long Beach-Anaheim. . . 6,671,157 6,759,004 6,739,879 328,693 258,337 293,342 4.9 3.8 4.4

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,604,262 1,629,075 1,621,849 64,619 47,264 50,689 4.0 2.9 3.1

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,066,895 5,129,929 5,118,030 264,074 211,073 242,653 5.2 4.1 4.7

San Francisco-Oakland-Hayward. . . . . 2,550,072 2,582,816 2,574,133 98,574 70,587 76,328 3.9 2.7 3.0

Oakland-Hayward-Berkeley. . . . . . . . 1,399,604 1,415,648 1,412,099 60,854 43,436 47,177 4.3 3.1 3.3

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,011,038 1,026,154 1,020,519 32,997 23,860 25,550 3.3 2.3 2.5

San Rafael. . . . . . . . . . . . . . . . . . . . . . 139,430 141,014 141,515 4,723 3,291 3,601 3.4 2.3 2.5

District of Columbia. . . . . . . . . . . . . . . . . . . 397,637 400,171 401,814 24,698 21,616 22,251 6.2 5.4 5.5

Washington-Arlington-Alexandria2. . . . 3,354,798 3,374,002 3,390,456 135,954 111,925 127,215 4.1 3.3 3.8

Silver Spring-Frederick-Rockville3.. . 685,673 685,288 689,932 25,112 20,221 25,732 3.7 3.0 3.7

Washington-Arlington-Alexandria2.. . 2,669,125 2,688,714 2,700,524 110,842 91,704 101,483 4.2 3.4 3.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,961,431 10,091,645 10,136,137 478,626 371,952 417,073 4.8 3.7 4.1

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,101,548 3,143,056 3,141,465 147,231 125,395 133,541 4.7 4.0 4.3

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,011,779 1,023,773 1,029,067 45,675 34,736 39,469 4.5 3.4 3.8

Miami-Miami Beach-Kendall. . . . . . . 1,370,095 1,397,491 1,382,657 67,872 65,241 65,322 5.0 4.7 4.7

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 719,674 721,792 729,741 33,684 25,418 28,750 4.7 3.5 3.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,463,342 6,464,968 6,409,025 396,820 302,301 338,868 6.1 4.7 5.3

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,874,417 4,894,663 4,847,749 282,450 231,734 260,731 5.8 4.7 5.4

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,755,969 3,782,099 3,742,620 213,863 184,399 208,225 5.7 4.9 5.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 322,832 322,883 320,102 21,061 14,226 15,662 6.5 4.4 4.9

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 338,049 331,165 329,777 20,769 14,711 16,448 6.1 4.4 5.0

Lake County-Kenosha County2. . . . 457,567 458,516 455,250 26,757 18,398 20,396 5.8 4.0 4.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,627,043 3,636,531 3,651,720 162,189 111,847 145,884 4.5 3.1 4.0

Boston-Cambridge-Nashua2. . . . . . . . . 2,682,905 2,687,037 2,700,145 104,471 74,427 94,365 3.9 2.8 3.5

Boston-Cambridge-Newton. . . . . . . . 1,591,262 1,597,698 1,603,052 57,504 41,653 51,754 3.6 2.6 3.2

Brockton-Bridgewater-Easton. . . . . . 106,002 106,700 107,194 5,169 3,522 4,589 4.9 3.3 4.3

Framingham. . . . . . . . . . . . . . . . . . . . . 157,133 156,294 156,919 5,660 4,016 5,110 3.6 2.6 3.3

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 113,469 113,888 114,966 4,761 3,260 4,297 4.2 2.9 3.7

Lawrence-Methuen Town-Salem2.. . 96,644 96,289 97,275 5,614 4,046 5,044 5.8 4.2 5.2

Lowell-Billerica-Chelmsford2. . . . . . . 188,880 188,920 190,763 8,264 5,747 7,364 4.4 3.0 3.9

Lynn-Saugus-Marblehead. . . . . . . . . 84,137 83,856 84,217 3,572 2,452 3,163 4.2 2.9 3.8

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 170,672 169,049 170,560 6,166 4,370 5,880 3.6 2.6 3.4

Peabody-Salem-Beverly. . . . . . . . . . . 91,369 91,325 91,123 3,569 2,601 3,299 3.9 2.8 3.6

Taunton-Middleborough-Norton. . . . 83,337 83,018 84,076 4,192 2,760 3,865 5.0 3.3 4.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,834,917 4,875,550 4,834,934 274,946 216,550 254,758 5.7 4.4 5.3

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,091,883 2,111,754 2,082,971 119,363 86,219 101,103 5.7 4.1 4.9

Detroit-Dearborn-Livonia. . . . . . . . . . 784,351 788,952 779,332 52,680 38,763 44,969 6.7 4.9 5.8

Warren-Troy-Farmington Hills. . . . . . 1,307,532 1,322,801 1,303,639 66,683 47,456 56,134 5.1 3.6 4.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,619,811 9,586,148 9,660,257 504,064 424,725 495,166 5.2 4.4 5.1

New York-Newark-Jersey City2. . . . . . 10,030,596 10,004,301 10,031,340 487,480 402,975 466,362 4.9 4.0 4.6

Dutchess County-Putnam County.. . 193,121 194,103 193,865 8,993 7,919 9,228 4.7 4.1 4.8

Nassau County-Suffolk County. . . . . 1,467,809 1,466,328 1,469,976 69,165 62,213 72,356 4.7 4.2 4.9

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,241,167 1,228,255 1,225,767 60,977 50,222 57,788 4.9 4.1 4.7

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,128,499 7,115,615 7,141,732 348,345 282,621 326,990 4.9 4.0 4.6

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,404,529 6,358,094 6,357,047 362,867 278,310 334,393 5.7 4.4 5.3

Philadelphia-Camden-Wilmington2. . . . 3,083,302 3,072,899 3,069,574 156,661 129,057 149,230 5.1 4.2 4.9

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 641,632 640,625 638,230 31,426 26,760 30,427 4.9 4.2 4.8

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,063,743 1,058,151 1,057,185 45,716 35,984 43,027 4.3 3.4 4.1

Philadelphia. . . . . . . . . . . . . . . . . . . . . 996,960 992,557 991,736 60,576 50,836 57,697 6.1 5.1 5.8

Wilmington3. . . . . . . . . . . . . . . . . . . . . 380,967 381,566 382,423 18,943 15,477 18,079 5.0 4.1 4.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,417,349 13,598,061 13,622,067 668,364 501,845 567,978 5.0 3.7 4.2

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,745,524 3,827,120 3,825,076 153,176 120,795 137,667 4.1 3.2 3.6

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,528,445 2,585,893 2,586,310 101,995 81,444 92,700 4.0 3.1 3.6

Fort Worth-Arlington. . . . . . . . . . . . . . 1,217,079 1,241,227 1,238,766 51,181 39,351 44,967 4.2 3.2 3.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,663,456 3,748,141 3,740,630 204,904 182,468 208,639 5.6 4.9 5.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,038,690 2,090,275 2,108,552 87,155 84,086 98,145 4.3 4.0 4.7

Seattle-Bellevue-Everett. . . . . . . . . . . 1,619,926 1,663,045 1,686,825 61,630 60,936 72,866 3.8 3.7 4.3

Tacoma-Lakewood. . . . . . . . . . . . . . . 418,764 427,230 421,727 25,525 23,150 25,279 6.1 5.4 6.0

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 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. Data for 2017 have been revised to incorporate updated inputs and adjustment to new state controls. 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

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,013.7 2,028.3 1,982.5 2,000.2 17.7 0.9

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.3 46.3 47.0 0.7 1.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 65.7 63.8 64.4 0.6 0.9

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530.5 532.4 521.5 528.7 7.2 1.4

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.5 74.9 71.5 73.2 1.7 2.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 54.6 53.4 54.1 0.7 1.3

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 58.2 57.4 57.1 -0.3 -0.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 56.6 55.9 55.7 -0.2 -0.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.5 37.4 37.7 0.3 0.8

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231.4 235.5 227.5 231.8 4.3 1.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.0 185.8 181.7 183.7 2.0 1.1

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.3 179.3 175.0 176.4 1.4 0.8

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.1 109.1 105.5 107.5 2.0 1.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.1 312.3 310.5 309.2 -1.3 -0.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.7 172.3 171.7 169.5 -2.2 -1.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.2 36.7 35.7 35.7 0.0 0.0

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,782.3 2,838.2 2,731.2 2,791.4 60.2 2.2

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 67.0 64.4 65.8 1.4 2.2

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.0 50.2 48.2 49.9 1.7 3.5

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,036.4 2,088.4 1,999.5 2,052.5 53.0 2.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 64.5 61.3 63.2 1.9 3.1

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.6 33.4 33.6 32.3 -1.3 -3.9

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382.2 385.4 376.6 380.8 4.2 1.1

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 56.5 55.9 55.9 0.0 0.0

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,241.9 1,244.9 1,216.6 1,222.9 6.3 0.5

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.9 256.6 247.4 252.4 5.0 2.0

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.5 112.4 111.1 110.8 -0.3 -0.3

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 37.5 37.6 37.6 0.0 0.0

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 58.4 56.2 57.4 1.2 2.1

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.2 362.8 352.8 356.3 3.5 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 33.2 32.4 32.1 -0.3 -0.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,788.0 17,140.0 16,457.4 16,855.4 398.0 2.4

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.3 262.8 253.0 259.5 6.5 2.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.0 82.7 79.0 81.4 2.4 3.0

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.9 54.3 54.1 53.3 -0.8 -1.5

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.4 351.2 333.2 345.3 12.1 3.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.1 39.5 37.9 38.4 0.5 1.3

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,088.4 6,169.0 5,948.0 6,062.6 114.6 1.9

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.0 38.2 36.6 38.1 1.5 4.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 69.0 63.9 66.5 2.6 4.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.4 176.4 168.7 174.2 5.5 3.3

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.9 71.4 69.5 70.2 0.7 1.0

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.7 307.9 298.8 302.9 4.1 1.4

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 66.7 64.4 65.5 1.1 1.7

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,445.8 1,499.6 1,423.1 1,475.3 52.2 3.7

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 963.2 985.9 946.5 972.0 25.5 2.7

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.4 140.0 133.6 139.4 5.8 4.3

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,453.3 1,474.0 1,427.1 1,453.5 26.4 1.8

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,388.5 2,437.7 2,347.4 2,398.3 50.9 2.2

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,089.5 1,123.0 1,073.3 1,104.9 31.6 2.9

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 114.4 117.1 112.9 116.7 3.8 3.4

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.1 103.2 98.2 101.7 3.5 3.6

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.7 185.6 178.5 181.4 2.9 1.6

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.3 208.8 199.9 204.8 4.9 2.5

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.9 240.2 226.8 237.7 10.9 4.8

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.6 139.7 134.6 137.3 2.7 2.0

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.3 127.5 122.5 126.0 3.5 2.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.7 44.5 42.0 43.5 1.5 3.6

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,646.0 2,704.7 2,591.6 2,657.8 66.2 2.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.9 192.4 182.8 185.9 3.1 1.7

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.5 290.3 278.2 285.1 6.9 2.5

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,451.3 1,483.9 1,425.0 1,459.9 34.9 2.4

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.2 167.0 159.1 163.6 4.5 2.8

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 63.9 59.6 62.2 2.6 4.4

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 107.0 99.8 105.9 6.1 6.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 62.7 61.7 61.7 0.0 0.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,697.4 1,700.2 1,657.6 1,662.0 4.4 0.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.7 408.0 400.9 396.6 -4.3 -1.1

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.6 77.2 77.6 0.4 0.5

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 576.4 581.3 565.1 572.6 7.5 1.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.6 285.6 279.6 277.5 -2.1 -0.8

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.3 131.0 126.9 128.2 1.3 1.0

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 67.8 65.7 65.7 0.0 0.0

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 458.7 458.7 446.5 447.3 0.8 0.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.6 69.8 68.6 68.5 -0.1 -0.1

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.3 152.8 146.6 148.2 1.6 1.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 789.4 797.1 779.5 786.9 7.4 0.9

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,272.4 3,310.2 3,214.7 3,258.5 43.8 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,596.2 8,754.5 8,487.9 8,644.7 156.8 1.8

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.2 267.8 264.2 264.1 -0.1 0.0

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.2 115.0 108.0 113.4 5.4 5.0

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200.2 204.0 197.9 201.5 3.6 1.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 144.6 142.9 143.3 0.4 0.3

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 33.4 32.7 32.8 0.1 0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685.7 707.9 675.8 695.5 19.7 2.9

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.1 225.9 218.4 224.2 5.8 2.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,653.2 2,679.3 2,616.2 2,645.9 29.7 1.1

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.7 144.5 148.4 143.2 -5.2 -3.5

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302.6 308.1 299.6 304.3 4.7 1.6

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.1 102.9 101.2 101.9 0.7 0.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,242.0 1,284.2 1,227.4 1,268.7 41.3 3.4

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.0 214.6 213.2 213.7 0.5 0.2

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.3 84.1 80.9 83.1 2.2 2.7

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.8 179.2 173.7 177.9 4.2 2.4

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.7 147.2 144.5 145.4 0.9 0.6

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.0 49.1 48.2 48.4 0.2 0.4

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 52.2 51.6 51.7 0.1 0.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.8 25.7 26.3 25.4 -0.9 -3.4

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.4 183.0 178.2 182.1 3.9 2.2

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,324.3 1,347.5 1,307.8 1,334.2 26.4 2.0

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.5 28.1 28.4 0.3 1.1

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,455.0 4,515.4 4,366.8 4,434.6 67.8 1.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 64.0 63.2 62.7 -0.5 -0.8

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.9 97.4 93.9 96.9 3.0 3.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,723.9 2,767.0 2,665.5 2,709.8 44.3 1.7

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.8 242.7 232.0 239.6 7.6 3.3

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.9 43.8 42.9 42.4 -0.5 -1.2

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.9 122.8 119.7 120.4 0.7 0.6

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.8 67.2 66.4 66.5 0.1 0.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.1 91.9 87.3 90.3 3.0 3.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.0 20.5 19.8 20.3 0.5 2.5

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.3 103.7 102.3 102.2 -0.1 -0.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.5 40.5 41.0 0.5 1.2

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.8 179.2 174.0 176.2 2.2 1.3

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 56.4 55.5 55.5 0.0 0.0

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.6 74.2 72.6 73.6 1.0 1.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 656.2 665.5 645.5 654.2 8.7 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

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 77.6 75.8 77.2 1.4 1.8

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479.1 486.7 471.5 476.3 4.8 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701.3 726.9 688.4 710.8 22.4 3.3

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.9 322.3 303.7 315.5 11.8 3.9

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 63.0 60.2 61.5 1.3 2.2

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.5 66.2 63.0 65.2 2.2 3.5

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.6 29.1 28.1 28.8 0.7 2.5

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 37.5 35.2 35.9 0.7 2.0

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,083.5 6,117.4 5,907.3 5,948.3 41.0 0.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.2 94.1 90.2 90.8 0.6 0.7

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 57.6 56.0 55.4 -0.6 -1.1

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.3 112.5 107.4 108.8 1.4 1.3

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,715.1 4,730.9 4,583.7 4,606.9 23.2 0.5

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.8 28.3 28.2 27.8 -0.4 -1.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.3 187.1 179.3 182.1 2.8 1.6

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.0 51.5 50.5 50.6 0.1 0.2

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 48.0 45.1 45.9 0.8 1.8

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 170.3 172.2 166.4 168.5 2.1 1.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.0 153.0 142.1 147.9 5.8 4.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.7 112.9 112.1 109.5 -2.6 -2.3

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,114.6 3,133.9 3,041.8 3,060.6 18.8 0.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 77.0 75.5 73.6 -1.9 -2.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.7 52.3 53.0 0.7 1.3

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.1 141.8 133.4 139.9 6.5 4.9

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.5 164.2 156.2 159.1 2.9 1.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.2 224.4 216.6 220.0 3.4 1.6

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,057.9 1,072.0 1,031.6 1,051.2 19.6 1.9

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 43.1 40.8 42.3 1.5 3.7

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.5 104.2 103.0 103.1 0.1 0.1

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 41.8 40.8 39.7 -1.1 -2.7

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.1 52.0 51.5 -0.5 -1.0

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.1 144.8 140.3 141.5 1.2 0.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 71.9 69.5 69.5 0.0 0.0

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,578.5 1,586.0 1,536.3 1,552.7 16.4 1.1

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 55.5 52.0 53.4 1.4 2.7

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.7 145.2 141.0 142.6 1.6 1.1

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.0 367.9 355.2 360.6 5.4 1.5

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 60.6 58.7 58.8 0.1 0.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.6 102.2 99.7 100.5 0.8 0.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.5 87.5 85.3 85.8 0.5 0.6

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.9 91.0 89.9 88.4 -1.5 -1.7

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,417.8 1,424.6 1,379.9 1,390.5 10.6 0.8

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 54.4 51.6 51.5 -0.1 -0.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.0 43.0 40.0 39.1 -0.9 -2.3

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.0 112.0 110.8 110.6 -0.2 -0.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298.5 296.9 292.1 291.1 -1.0 -0.3

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,936.9 1,943.1 1,886.7 1,892.4 5.7 0.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 78.0 74.0 74.9 0.9 1.2

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 56.3 55.6 55.5 -0.1 -0.2

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.0 283.7 276.0 276.2 0.2 0.1

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 669.7 679.1 653.2 656.7 3.5 0.5

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.8 53.3 53.8 0.5 0.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.1 1,982.9 1,950.3 1,951.1 0.8 0.0

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 62.5 61.4 61.6 0.2 0.3

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.2 408.3 401.8 401.4 -0.4 -0.1

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 47.0 45.1 46.4 1.3 2.9

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 86.1 84.8 84.8 0.0 0.0

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202.0 201.3 198.9 197.9 -1.0 -0.5

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 116.8 110.9 115.6 4.7 4.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.0 79.1 77.5 77.8 0.3 0.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.1 578.7 570.5 571.5 1.0 0.2

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.6 179.7 179.5 177.2 -2.3 -1.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 619.5 622.1 601.7 602.0 0.3 0.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 67.3 65.2 64.1 -1.1 -1.7

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 51.6 50.5 50.2 -0.3 -0.6

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.4 207.8 200.3 202.4 2.1 1.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,739.3 2,726.1 2,659.8 2,664.2 4.4 0.2

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,406.6 1,408.5 1,365.4 1,382.7 17.3 1.3

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.1 44.4 44.6 0.2 0.5

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 39.7 38.0 38.2 0.2 0.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.7 108.2 103.8 104.2 0.4 0.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,610.1 3,645.6 3,506.7 3,540.1 33.4 1.0

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.5 102.4 95.1 97.6 2.5 2.6

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.0 2,767.7 2,676.6 2,699.0 22.4 0.8

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.9 51.5 52.1 0.6 1.2

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 68.1 66.0 66.1 0.1 0.2

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 41.6 40.8 40.7 -0.1 -0.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.2 340.3 325.1 327.4 2.3 0.7

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.6 292.2 279.8 284.1 4.3 1.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,368.7 4,410.2 4,281.6 4,322.8 41.2 1.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.4 225.2 215.8 218.2 2.4 1.1

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 58.6 58.2 57.5 -0.7 -1.2

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.1 35.8 35.4 35.1 -0.3 -0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,001.9 2,023.0 1,967.4 1,984.5 17.1 0.9

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.2 141.8 137.2 137.8 0.6 0.4

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 551.8 561.5 543.3 551.0 7.7 1.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 58.9 57.2 57.5 0.3 0.5

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.8 149.9 145.4 146.4 1.0 0.7

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.8 238.5 233.4 234.5 1.1 0.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.5 37.1 36.7 36.2 -0.5 -1.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 42.5 41.3 41.5 0.2 0.5

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.1 65.0 63.0 63.8 0.8 1.3

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 61.9 60.2 60.2 0.0 0.0

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.9 89.0 86.9 86.4 -0.5 -0.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,911.1 2,941.5 2,866.5 2,886.7 20.2 0.7

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.8 137.9 133.6 135.3 1.7 1.3

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.9 56.5 58.1 1.6 2.8

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,976.4 1,998.5 1,947.8 1,960.9 13.1 0.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.8 120.7 117.1 117.5 0.4 0.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.3 110.8 107.4 107.7 0.3 0.3

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,153.6 1,167.5 1,137.6 1,151.3 13.7 1.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.5 155.5 153.0 153.7 0.7 0.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 66.3 64.2 64.4 0.2 0.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.3 284.8 275.7 280.5 4.8 1.7

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,864.2 2,894.8 2,802.6 2,835.8 33.2 1.2

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.6 43.1 44.0 0.9 2.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.4 101.6 95.8 96.7 0.9 0.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 77.1 77.1 75.7 -1.4 -1.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.2 82.2 79.8 80.6 0.8 1.0

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,081.9 1,096.9 1,057.9 1,075.4 17.5 1.7

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 65.1 63.9 63.9 0.0 0.0

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,378.1 1,384.0 1,348.0 1,356.5 8.5 0.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.8 215.8 207.2 212.9 5.7 2.8

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 468.7 473.5 457.6 463.5 5.9 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

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.6 85.1 83.1 83.1 0.0 0.0

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.7 36.1 35.1 35.5 0.4 1.1

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.2 61.4 59.5 59.4 -0.1 -0.2

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,020.5 1,024.8 998.4 1,004.3 5.9 0.6

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 42.4 41.4 41.8 0.4 1.0

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.1 190.6 185.4 186.1 0.7 0.4

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501.9 504.9 490.5 494.4 3.9 0.8

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,323.6 1,365.9 1,306.9 1,342.7 35.8 2.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 31.0 28.8 30.0 1.2 4.2

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 966.9 993.0 959.4 977.6 18.2 1.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.8 237.8 219.7 230.6 10.9 5.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.2 681.6 661.3 669.4 8.1 1.2

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.8 50.8 52.9 2.1 4.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.7 112.2 111.3 111.0 -0.3 -0.3

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.1 93.8 89.8 91.4 1.6 1.8

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,149.5 4,186.1 4,021.5 4,067.6 46.1 1.1

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.8 130.6 122.6 125.9 3.3 2.7

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 37.9 32.8 35.4 2.6 7.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270.0 272.3 260.9 266.4 5.5 2.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 60.0 57.2 58.5 1.3 2.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 833.5 840.9 818.5 825.5 7.0 0.9

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.0 393.3 382.9 386.8 3.9 1.0

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 49.4 47.8 48.7 0.9 1.9

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.8 70.8 70.0 68.6 -1.4 -2.0

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.0 61.6 61.9 0.3 0.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,578.6 9,660.9 9,272.6 9,364.1 91.5 1.0

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471.0 476.9 456.1 463.5 7.4 1.6

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.5 105.3 101.3 101.4 0.1 0.1

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 566.7 572.2 549.6 557.2 7.6 1.4

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.5 37.3 36.6 36.2 -0.4 -1.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.1 53.3 53.2 -0.1 -0.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 65.9 61.0 61.5 0.5 0.8

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 63.0 60.3 60.3 0.0 0.0

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,731.7 9,838.2 9,434.7 9,538.7 104.0 1.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539.4 542.9 521.7 525.1 3.4 0.7

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321.3 321.4 310.4 309.9 -0.5 -0.2

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.2 127.4 124.8 124.2 -0.6 -0.5

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 42.0 40.2 40.6 0.4 1.0

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,409.2 4,484.6 4,319.9 4,397.9 78.0 1.8

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.9 194.5 186.4 191.1 4.7 2.5

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 62.1 60.7 60.8 0.1 0.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,173.0 1,211.3 1,153.3 1,188.1 34.8 3.0

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.2 313.2 304.1 307.4 3.3 1.1

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.2 132.0 129.0 129.4 0.4 0.3

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 42.0 41.5 41.4 -0.1 -0.2

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.9 363.2 354.8 355.3 0.5 0.1

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 80.9 78.5 79.3 0.8 1.0

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.5 154.9 151.8 153.0 1.2 0.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 49.6 48.7 48.7 0.0 0.0

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 44.8 44.4 44.0 -0.4 -0.9

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 611.2 625.9 599.4 616.4 17.0 2.8

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.7 56.9 56.0 54.9 -1.1 -2.0

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.8 126.2 121.6 122.8 1.2 1.0

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.0 266.6 259.6 262.7 3.1 1.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432.1 427.6 421.3 415.4 -5.9 -1.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.9 72.8 71.9 71.0 -0.9 -1.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 141.5 138.7 138.6 -0.1 -0.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 56.6 56.3 55.8 -0.5 -0.9

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,534.9 5,560.6 5,404.8 5,428.9 24.1 0.4

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.9 344.5 333.6 333.7 0.1 0.0

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.0 174.5 170.3 170.6 0.3 0.2

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,094.7 1,096.3 1,069.2 1,070.7 1.5 0.1

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.7 1,060.1 1,033.8 1,034.8 1.0 0.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,086.6 1,096.9 1,062.8 1,065.6 2.8 0.3

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.9 398.0 380.5 384.8 4.3 1.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 54.1 52.4 52.5 0.1 0.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 52.6 51.6 51.4 -0.2 -0.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 50.2 49.6 48.8 -0.8 -1.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.5 310.9 306.2 303.8 -2.4 -0.8

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 41.0 40.6 39.3 -1.3 -3.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.4 219.8 216.7 213.6 -3.1 -1.4

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,665.1 1,691.0 1,624.6 1,653.1 28.5 1.8

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.7 25.6 26.1 24.9 -1.2 -4.6

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 46.0 45.6 45.4 -0.2 -0.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 635.0 646.5 617.4 629.6 12.2 2.0

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451.0 460.5 437.9 449.4 11.5 2.6

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,860.5 1,904.0 1,814.8 1,867.1 52.3 2.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 45.4 43.4 45.1 1.7 3.9

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.6 82.1 77.4 81.1 3.7 4.8

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.7 43.6 41.9 42.9 1.0 2.4

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.4 162.5 155.6 159.3 3.7 2.4

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 26.2 25.1 25.9 0.8 3.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.7 89.0 83.6 86.4 2.8 3.3

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,162.7 1,192.4 1,137.8 1,168.4 30.6 2.7

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.3 164.9 158.9 162.7 3.8 2.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,957.1 6,037.8 5,811.5 5,874.1 62.6 1.1

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373.0 373.0 363.0 364.3 1.3 0.4

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.3 61.4 60.2 60.0 -0.2 -0.3

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 42.7 41.3 41.7 0.4 1.0

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 61.4 59.8 60.9 1.1 1.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 58.5 57.6 57.7 0.1 0.2

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.9 128.7 124.9 125.1 0.2 0.2

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.7 35.9 34.0 35.2 1.2 3.5

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.9 343.5 335.2 336.1 0.9 0.3

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 55.6 54.0 54.2 0.2 0.4

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.5 256.3 246.8 250.4 3.6 1.5

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 52.9 51.0 51.3 0.3 0.6

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,924.9 2,950.9 2,854.8 2,878.0 23.2 0.8

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,170.3 1,193.9 1,143.7 1,160.6 16.9 1.5

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.2 180.5 174.4 176.9 2.5 1.4

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.2 268.6 256.6 261.1 4.5 1.8

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.5 80.4 73.9 74.7 0.8 1.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 53.3 52.8 52.3 -0.5 -0.9

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.1 188.0 184.2 184.7 0.5 0.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493.6 499.0 477.5 483.8 6.3 1.3

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 589.9 596.2 571.7 578.9 7.2 1.3

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,084.9 2,114.5 2,045.7 2,077.1 31.4 1.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349.7 355.7 345.0 350.3 5.3 1.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.3 398.1 393.7 391.1 -2.6 -0.7

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.0 89.1 87.1 87.7 0.6 0.7

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.5 423.2 407.8 417.9 10.1 2.5

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.5 78.4 75.8 77.0 1.2 1.6

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.8 160.4 153.5 157.6 4.1 2.7

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.9 156.8 150.2 153.2 3.0 2.0

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.6 39.8 39.0 39.8 0.8 2.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 432.5 435.4 421.3 426.8 5.5 1.3

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.1 67.9 64.9 66.6 1.7 2.6

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.4 156.9 152.1 153.3 1.2 0.8

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,028.8 3,061.3 2,947.4 2,986.3 38.9 1.3

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.5 261.7 251.0 256.5 5.5 2.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.9 90.4 88.6 88.9 0.3 0.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 50.6 46.2 45.8 -0.4 -0.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.1 69.4 67.3 67.6 0.3 0.4

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 80.7 78.2 77.7 -0.5 -0.6

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.9 122.4 120.1 120.6 0.5 0.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.5 400.1 389.3 394.1 4.8 1.2

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.8 657.6 630.3 638.2 7.9 1.3

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 46.5 45.6 45.6 0.0 0.0

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 977.0 999.1 954.7 980.2 25.5 2.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,177.3 12,435.6 11,990.6 12,257.0 266.4 2.2

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 69.8 67.4 68.8 1.4 2.1

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.7 121.3 118.1 119.4 1.3 1.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019.7 1,053.5 1,008.3 1,045.2 36.9 3.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.1 164.2 162.4 163.4 1.0 0.6

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 141.6 140.3 140.2 -0.1 -0.1

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.8 121.0 113.2 119.2 6.0 5.3

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.5 192.0 190.0 188.5 -1.5 -0.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,577.5 3,666.8 3,522.0 3,607.8 85.8 2.4

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.8 316.6 309.6 312.6 3.0 1.0

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,010.5 3,073.4 2,965.1 3,029.5 64.4 2.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 144.4 141.6 142.5 0.9 0.6

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.5 105.0 102.2 103.9 1.7 1.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.1 97.4 94.9 96.0 1.1 1.2

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.0 149.3 145.3 147.4 2.1 1.4

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.6 262.8 255.9 259.7 3.8 1.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.5 97.8 88.2 97.3 9.1 10.3

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.6 75.6 69.6 74.6 5.0 7.2

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.5 49.5 48.2 49.0 0.8 1.7

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,034.1 1,056.3 1,020.1 1,040.2 20.1 2.0

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.4 46.1 46.4 0.3 0.7

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.2 60.7 59.7 59.5 -0.2 -0.3

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.8 106.6 101.8 105.0 3.2 3.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.1 40.6 40.1 -0.5 -1.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.4 121.6 120.1 119.9 -0.2 -0.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 59.3 58.0 58.7 0.7 1.2

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,455.9 1,500.4 1,432.0 1,473.3 41.3 2.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 62.7 60.2 61.0 0.8 1.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.8 256.0 246.1 252.0 5.9 2.4

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.3 256.2 242.0 253.0 11.0 4.5

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 64.8 60.8 63.7 2.9 4.8

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713.2 730.1 702.6 718.2 15.6 2.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319.5 319.5 311.8 313.5 1.7 0.5

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.7 125.4 123.3 121.4 -1.9 -1.5

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,956.4 3,976.6 3,874.4 3,896.2 21.8 0.6

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 77.5 73.6 72.7 -0.9 -1.2

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.5 119.1 112.9 116.3 3.4 3.0

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 68.8 67.2 67.6 0.4 0.6

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.2 105.3 102.2 102.4 0.2 0.2

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 675.7 675.2 657.8 661.8 4.0 0.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.3 160.8 158.3 157.4 -0.9 -0.6

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.3 49.2 49.3 0.1 0.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 778.3 779.5 760.6 761.6 1.0 0.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 64.5 61.8 63.4 1.6 2.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,284.2 3,370.3 3,233.7 3,325.7 92.0 2.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2017 to January

2018p

2016 2017 2017 2018p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.4 94.9 91.4 93.5 2.1 2.3

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.2 92.3 88.6 90.9 2.3 2.6

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 113.4 107.9 112.4 4.5 4.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 40.1 39.2 39.7 0.5 1.3

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.3 49.8 48.8 49.0 0.2 0.4

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.2 118.0 113.1 117.5 4.4 3.9

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,982.7 2,039.4 1,955.6 2,017.2 61.6 3.1

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.6 244.8 237.9 239.0 1.1 0.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.4 28.6 26.5 27.9 1.4 5.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.6 42.6 43.3 0.7 1.6

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.9 87.4 81.7 86.3 4.6 5.6

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751.6 756.7 729.5 732.3 2.8 0.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.0 44.2 44.0 -0.2 -0.5

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.0 117.6 115.7 114.7 -1.0 -0.9

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.5 139.9 135.9 134.3 -1.6 -1.2

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.1 73.2 69.0 71.2 2.2 3.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.2 40.1 39.8 39.0 -0.8 -2.0

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 67.2 65.8 65.0 -0.8 -1.2

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,945.2 2,957.8 2,870.4 2,894.9 24.5 0.9

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.5 125.9 122.8 123.9 1.1 0.9

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.9 86.9 83.2 83.5 0.3 0.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 48.5 46.7 47.0 0.3 0.6

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.9 178.3 174.0 175.1 1.1 0.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.0 69.0 66.6 67.4 0.8 1.2

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 80.3 76.7 77.6 0.9 1.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402.0 406.0 387.6 394.4 6.8 1.8

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 868.9 870.4 847.8 856.2 8.4 1.0

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.0 98.9 96.0 96.8 0.8 0.8

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 77.3 76.3 76.3 0.0 0.0

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 63.2 60.6 61.9 1.3 2.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.8 73.7 71.0 72.4 1.4 2.0

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.4 280.4 272.0 275.7 3.7 1.4

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.6 37.4 38.1 0.7 1.9

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 46.3 45.9 45.0 -0.9 -2.0

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 927.2 866.8 881.2 842.3 -38.9 -4.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 51.7 51.2 50.4 -0.8 -1.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 33.9 33.5 32.6 -0.9 -2.7

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.4 14.6 14.8 13.9 -0.9 -6.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 31.7 33.1 29.8 -3.3 -10.0

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 68.9 69.5 66.3 -3.2 -4.6

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 19.4 20.2 18.4 -1.8 -8.9

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673.6 632.7 638.3 615.1 -23.2 -3.6

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 35.4 38.2 35.6 -2.6 -6.8

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. Data have been revised to reflect 2017 benchmark levels. 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

December January Change from

January 2017 to January 2018p

2016 2017 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,788.0 17,140.0 16,457.4 16,855.4 398.0 2.4

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,088.4 6,169.0 5,948.0 6,062.6 114.6 1.9

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,621.9 1,651.7 1,583.5 1,622.6 39.1 2.5

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,466.5 4,517.3 4,364.5 4,440.0 75.5 1.7

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,388.5 2,437.7 2,347.4 2,398.3 50.9 2.2

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,160.9 1,183.2 1,139.2 1,165.3 26.1 2.3

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,112.1 1,137.9 1,095.2 1,117.1 21.9 2.0

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.5 116.6 113.0 115.9 2.9 2.6

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 789.4 797.1 779.5 786.9 7.4 0.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,272.4 3,310.2 3,214.7 3,258.5 43.8 1.4

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592.1 595.5 583.1 589.4 6.3 1.1

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,680.3 2,714.7 2,631.6 2,669.1 37.5 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,596.2 8,754.5 8,487.9 8,644.7 156.8 1.8

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,653.2 2,679.3 2,616.2 2,645.9 29.7 1.1

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 841.6 850.5 829.9 842.2 12.3 1.5

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,185.9 1,201.2 1,167.9 1,177.3 9.4 0.8

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625.7 627.6 618.4 626.4 8.0 1.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,083.5 6,117.4 5,907.3 5,948.3 41.0 0.7

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,715.1 4,730.9 4,583.7 4,606.9 23.2 0.5

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,765.1 3,776.3 3,663.3 3,679.4 16.1 0.4

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.7 260.9 249.1 253.0 3.9 1.6

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.2 277.2 271.1 269.8 -1.3 -0.5

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.1 416.5 400.2 404.7 4.5 1.1

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,610.1 3,645.6 3,506.7 3,540.1 33.4 1.0

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.0 2,767.7 2,676.6 2,699.0 22.4 0.8

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,846.8 1,862.7 1,800.0 1,815.5 15.5 0.9

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 83.1 78.4 80.4 2.0 2.6

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.9 174.8 171.9 170.2 -1.7 -1.0

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 67.6 64.7 66.6 1.9 2.9

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.3 84.5 81.5 83.0 1.5 1.8

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.6 159.5 153.8 156.5 2.7 1.8

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.0 44.7 44.9 0.2 0.4

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.6 130.5 126.9 127.9 1.0 0.8

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.9 98.5 95.6 94.5 -1.1 -1.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 60.5 59.1 59.5 0.4 0.7

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,368.7 4,410.2 4,281.6 4,322.8 41.2 1.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,001.9 2,023.0 1,967.4 1,984.5 17.1 0.9

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 759.7 765.3 746.1 751.2 5.1 0.7

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,242.2 1,257.7 1,221.3 1,233.3 12.0 1.0

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,578.6 9,660.9 9,272.6 9,364.1 91.5 1.0

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,731.7 9,838.2 9,434.7 9,538.7 104.0 1.1

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.9 151.8 143.3 145.1 1.8 1.3

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,353.4 1,359.7 1,299.5 1,307.1 7.6 0.6

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,212.9 1,218.2 1,184.7 1,188.3 3.6 0.3

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,016.5 7,108.5 6,807.2 6,898.2 91.0 1.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,957.1 6,037.8 5,811.5 5,874.1 62.6 1.1

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,924.9 2,950.9 2,854.8 2,878.0 23.2 0.8

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545.5 553.5 531.8 538.1 6.3 1.2

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,065.7 1,074.7 1,041.5 1,049.8 8.3 0.8

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949.9 960.4 926.9 937.0 10.1 1.1

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.8 362.3 354.6 353.1 -1.5 -0.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,177.3 12,435.6 11,990.6 12,257.0 266.4 2.2

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,577.5 3,666.8 3,522.0 3,607.8 85.8 2.4

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,553.5 2,618.4 2,514.1 2,578.5 64.4 2.6

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,024.0 1,048.4 1,007.9 1,029.3 21.4 2.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,284.2 3,370.3 3,233.7 3,325.7 92.0 2.8

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,982.7 2,039.4 1,955.6 2,017.2 61.6 3.1

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,669.2 1,721.4 1,648.6 1,702.8 54.2 3.3

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.5 318.0 307.0 314.4 7.4 2.4

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. Data have been revised to reflect 2017 benchmark levels. 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

January 2018

(U.S. rate = 4.5 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, January 2018

(U.S. average = 1.4 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Managment 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.