For release 10:00 a.m. (EDT) Friday, March 17, 2017 USDL-17-0322 

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 2017

Unemployment rates were lower in January than a year earlier in 205 of the 388 metropolitan areas, 

higher in 147 areas, and unchanged in 36 areas, the U.S. Bureau of Labor Statistics reported today. 

Eleven areas had jobless rates of less than 3.0 percent and 13 areas had rates of at least 10.0 percent. 

Nonfarm payroll employment increased over the year in 308 metropolitan areas, decreased in 75 areas, 

and was unchanged in 5 areas. The national unemployment rate in January was 5.1 percent, not 

seasonally adjusted, little changed from a year earlier.

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In January, Ames, Iowa, had the lowest unemployment rate, 2.3 percent. El Centro, Calif., had the 

highest unemployment rate, 19.6 percent. A total of 199 areas had January jobless rates above the U.S. 

rate of 5.1 percent, 178 areas had rates below it, and 11 areas had rates equal to that of the nation. 

(See table 1 and map 1.) 

Yuma, Ariz., had the largest over-the-year unemployment rate decrease in January (-2.1 percentage 

points). Twenty other areas had rate declines of at least 1.0 percentage point. The largest over-the-year 

rate increase occurred in Rockford, Ill. (+3.3 percentage points). 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Salt Lake City, Utah, 

had the lowest unemployment rate in January, 3.0 percent, closely followed by Denver-AuroraLakewood, Colo., 3.1 percent. Cleveland-Elyria, Ohio, had the highest jobless rate among the large 

areas, 6.6 percent. Twenty-seven large areas had over-the-year unemployment rate decreases, 20 had 

increases, and 4 had no change. The largest over-the-year rate decrease occurred in Las VegasHenderson-Paradise, Nev. (-1.4 percentage points). The largest over-the-year rate increase was in 

Cleveland-Elyria, Ohio (+1.5 percentage points). 

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 this 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, Calif., had the lowest unemployment rate among the divisions, 3.1 percent. DetroitDearborn-Livonia, Mich., and Elgin, Ill., had the highest division rates, 7.2 percent each. (See table 2.) 

In January, 29 metropolitan divisions had over-the-year unemployment rate decreases, 8 had increases, 

and 1 had no change. The largest over-the-year rate declines occurred in Lawrence-Methuen TownSalem, Mass.-N.H., and Taunton-Middleborough-Norton, Mass. (-1.1 percentage points each). The 

largest over-the-year rate increase occurred in Detroit-Dearborn-Livonia, Mich. (+1.0 percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In January, 308 metropolitan areas had over-the-year increases in nonfarm payroll employment, 75 had 

decreases, and 5 had no change. The largest over-the-year employment increases occurred in New YorkNewark-Jersey City, N.Y.-N.J.-Pa. (+158,000), Dallas-Fort Worth-Arlington, Texas (+135,400), and 

Atlanta-Sandy Springs-Roswell, Ga. (+96,800). The largest over-the-year percentage gain in 

employment occurred in Ithaca, N.Y. (+5.5 percent), followed by Yuba City, Calif. (+5.4 percent), and 

Grants Pass, Ore., and Lake Charles, La. (+5.3 percent each). (See table 3 and map 2.) 

The largest over-the-year decreases in employment occurred in Lafayette, La. (-8,800), HoumaThibodaux, La. (-6,600), and Peoria, Ill. (-4,700). The largest over-the-year percentage decrease in 

employment occurred in Casper, Wyo. (-9.5 percent), followed by Houma-Thibodaux, La. 

(-7.2 percent), and Lafayette, La. (-4.3 percent). 

 

Over the year, nonfarm employment rose in 46 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, fell in 4 areas, and was unchanged in Hartford-West Hartford-East 

Hartford, Conn. The largest over-the-year percentage increase in employment in these large 

metropolitan areas occurred in Orlando-Kissimmee-Sanford, Fla. (+4.6 percent), followed by DallasFort Worth-Arlington, Texas (+4.0 percent), and Atlanta-Sandy Springs-Roswell, Ga., and NashvilleDavidson—Murfreesboro—Franklin, Tenn. (+3.7 percent each). The largest over-the-year percentage 

decrease in employment occurred in Oklahoma City, Okla. (-0.6 percent), followed by Rochester, N.Y. 

(-0.5 percent), Milwaukee-Waukesha-West Allis, Wis. (-0.2 percent), and New Orleans-Metairie, La. 

(-0.1 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, N.Y.-N.J. (+123,600), followed by Dallas-PlanoIrving, Texas (+105,600), and Los Angeles-Long Beach-Glendale, Calif. (+62,600). The largest overthe-year decrease in employment occurred in Lake County-Kenosha County, Ill.-Wis. (-3,700), followed 

by Dutchess County-Putnam County, N.Y. (-2,100), and Lawrence-Methuen Town-Salem, Mass.-N.H., 

and Lynn-Saugus-Marblehead, Mass. (-200 each). (See table 4.) 

The largest over-the-year percentage increase in employment among the metropolitan divisions occurred 

in Dallas-Plano-Irving, Texas (+4.3 percent), followed by Gary, Ind. (+3.5 percent), and Camden, N.J., 
3 

and Tacoma-Lakewood, Wash. (+3.4 percent each). The largest over-the-year percentage decrease 

occurred in Dutchess County-Putnam County, N.Y. (-1.5 percent), followed by Lake County-Kenosha 

County, Ill.-Wis. (-0.9 percent), Lynn-Saugus-Marblehead, Mass. (-0.4 percent), and Lawrence-Methuen 

Town-Salem, Mass.-N.H. (-0.2 percent). 

_____________ 

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

on Friday, March 24, 2017, at 10:00 a.m. (EDT). The Metropolitan Area Employment and 

Unemployment news release for February is scheduled to be released on Wednesday, April 5, 

2017, at 10:00 a.m. (EDT). 

Changes to Local Area Unemployment Statistics Data 

Effective with the release of Regional and State Unemployment 2016 Annual Averages on February 28, 

2017, civilian labor force and unemployment data for all states, the District of Columbia, and the seven 

modeled substate areas presented in tables 1 and 2 of this news release were revised from 2012 through 

2016 to incorporate updated inputs, new population controls, re-estimation of models, and adjustments 

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 2016 to incorporate updated inputs 

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

been loaded into the BLS time series database; therefore, they do not match the data for 2016 in this 

news release. Revisions for all non-modeled metropolitan areas and divisions from 2012 through 2016 

will be loaded into the database on April 21, 2017. For more information, see 

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

Changes to Current Employment Statistics Data

Effective with this release, nonfarm payroll estimates for states and metropolitan areas (tables 3 and 4) 

have been revised as a result of annual benchmark processing to reflect 2016 employment counts 

primarily derived from the BLS Quarterly Census of Employment and Wages data. Not seasonally 

adjusted data beginning with April 2015 were revised. For more information on annual processing, see 

www.bls.gov/sae/benchmark2017.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 2012 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 private employment series are available for 

metropolitan areas and metropolitan divisions at 

www.bls.gov/sae/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/sae/790stderr.htm. Measures of nonsampling 

error are not available for the areas contained in this release.

Information on recent benchmark revisions is available online

at www.bls.gov/sae/benchmark2017.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 on the Internet 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.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,141,628 2,180,260 2,169,898 134,592 129,295 146,623 6.3 5.9 6.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,560 45,697 45,731 3,222 3,060 3,448 7.1 6.7 7.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 71,287 74,173 73,332 3,876 3,787 4,218 5.4 5.1 5.8

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 530,496 539,602 537,207 30,609 29,510 33,329 5.8 5.5 6.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 85,910 88,991 87,646 5,184 5,005 5,630 6.0 5.6 6.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,751 68,926 69,684 4,313 3,946 4,505 6.3 5.7 6.5

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,348 62,734 62,702 3,834 3,715 4,205 6.2 5.9 6.7

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,102 67,008 66,871 4,819 4,358 4,957 7.3 6.5 7.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,610 44,184 44,279 2,698 2,579 3,001 6.2 5.8 6.8

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,191 216,854 215,542 11,489 11,090 12,530 5.4 5.1 5.8

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,718 186,248 185,125 13,260 13,169 14,977 7.2 7.1 8.1

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 168,942 171,896 171,360 10,018 9,675 10,935 5.9 5.6 6.4

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 111,299 113,924 113,127 6,813 6,677 7,442 6.1 5.9 6.6

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356,376 355,793 355,920 25,900 23,311 25,668 7.3 6.6 7.2

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 203,117 205,097 202,623 12,579 11,788 12,925 6.2 5.7 6.4

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,203 46,043 44,929 2,879 2,642 2,974 6.4 5.7 6.6

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,197,977 3,261,413 3,283,062 178,545 152,384 168,132 5.6 4.7 5.1

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,634 73,675 73,865 4,940 4,423 4,739 6.9 6.0 6.4

Lake Havasu City-Kingman. . . . . . . . . . . . 79,560 79,723 80,693 6,043 4,691 5,294 7.6 5.9 6.6

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,210,510 2,267,300 2,279,252 107,761 91,917 102,980 4.9 4.1 4.5

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,272 99,101 100,322 5,268 4,336 5,034 5.4 4.4 5.0

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,873 49,990 50,666 3,376 2,668 2,990 6.8 5.3 5.9

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470,260 471,747 475,201 24,203 20,577 22,803 5.1 4.4 4.8

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,939 92,947 94,921 14,937 14,063 13,595 16.4 15.1 14.3

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,321,884 1,327,109 1,315,096 61,989 50,559 54,664 4.7 3.8 4.2

Fayetteville-Springdale-Rogers. . . . . . . . . 255,232 262,250 260,616 8,353 6,952 7,411 3.3 2.7 2.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,104 119,853 117,873 6,378 5,159 5,383 5.3 4.3 4.6

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 39,424 39,037 39,829 1,991 1,711 1,798 5.1 4.4 4.5

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 60,780 61,919 61,299 2,566 1,981 2,214 4.2 3.2 3.6

Little Rock-North Little Rock-Conway. . . . 344,913 345,345 343,545 13,873 11,532 12,507 4.0 3.3 3.6

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,447 35,564 34,819 2,278 1,812 1,956 6.4 5.1 5.6

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,916,318 19,098,452 19,082,543 1,112,542 957,110 1,049,247 5.9 5.0 5.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 391,701 382,246 389,107 43,337 38,829 43,307 11.1 10.2 11.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,442 102,988 102,539 7,530 6,323 7,286 7.5 6.1 7.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,918 75,157 74,576 16,440 15,694 14,652 21.4 20.9 19.6

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441,299 440,850 447,350 47,358 41,467 47,409 10.7 9.4 10.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,468 55,927 56,386 6,735 5,728 6,620 11.7 10.2 11.7

Los Angeles-Long Beach-Anaheim. . . . . 6,586,911 6,647,478 6,630,275 351,561 293,940 319,055 5.3 4.4 4.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,915 61,015 62,703 6,438 5,701 6,275 10.4 9.3 10.0

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,937 114,574 114,932 14,792 12,301 14,474 13.0 10.7 12.6

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240,631 243,650 246,060 23,107 19,949 22,002 9.6 8.2 8.9

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,227 70,914 71,082 3,626 3,292 3,390 5.1 4.6 4.8

Oxnard-Thousand Oaks-Ventura. . . . . . . 425,352 429,340 428,689 23,236 20,671 21,707 5.5 4.8 5.1

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,343 74,380 75,165 6,076 4,868 5,629 8.2 6.5 7.5

Riverside-San Bernardino-Ontario. . . . . . 1,979,267 2,009,477 2,009,591 116,837 103,319 111,839 5.9 5.1 5.6

Sacramento--Roseville--Arden-Arcade. . . 1,064,221 1,071,834 1,071,719 59,304 51,644 57,290 5.6 4.8 5.3

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207,492 210,220 212,275 24,237 20,758 23,831 11.7 9.9 11.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,555,578 1,569,145 1,569,746 75,393 64,919 70,579 4.8 4.1 4.5

San Francisco-Oakland-Hayward. . . . . . . 2,510,146 2,557,905 2,539,795 98,960 85,906 93,899 3.9 3.4 3.7

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,044,775 1,060,493 1,054,534 41,547 36,221 39,817 4.0 3.4 3.8

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,791 137,288 138,201 6,412 5,396 5,871 4.6 3.9 4.2

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 141,971 142,466 142,592 13,019 10,710 12,638 9.2 7.5 8.9

Santa Maria-Santa Barbara. . . . . . . . . . . . 213,512 214,659 214,275 12,781 11,587 12,599 6.0 5.4 5.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 256,861 259,109 257,061 11,354 9,412 10,303 4.4 3.6 4.0

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 315,034 317,457 319,835 28,749 24,858 27,707 9.1 7.8 8.7

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 205,698 208,152 207,280 12,118 10,612 11,700 5.9 5.1 5.6

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 205,102 203,316 206,838 25,536 23,200 25,689 12.5 11.4 12.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,661 73,578 73,566 7,943 6,950 7,741 11.1 9.4 10.5

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,848,862 2,892,195 2,896,673 108,016 78,247 96,181 3.8 2.7 3.3

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,797 181,547 182,416 5,278 3,896 4,827 3.0 2.1 2.6

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 319,927 326,501 328,054 14,082 10,071 12,259 4.4 3.1 3.7

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,516,377 1,541,096 1,543,912 53,439 39,728 48,474 3.5 2.6 3.1

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 180,638 188,247 186,851 6,052 4,299 5,443 3.4 2.3 2.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 71,075 70,993 70,288 4,716 3,157 4,057 6.6 4.4 5.8

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147,163 149,679 150,032 5,823 3,990 4,909 4.0 2.7 3.3

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,176 73,107 73,344 3,983 2,958 3,586 5.5 4.0 4.9

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,880,245 1,875,808 1,886,783 114,735 73,548 102,421 6.1 3.9 5.4

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 463,976 462,999 464,548 27,362 18,020 24,845 5.9 3.9 5.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,535 107,401 107,713 5,494 3,476 5,067 5.2 3.2 4.7

Hartford-West Hartford-East Hartford. . . . 614,663 610,370 617,423 37,470 23,881 33,143 6.1 3.9 5.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 320,958 320,742 320,314 19,416 12,317 17,168 6.0 3.8 5.4

Norwich-New London-Westerly. . . . . . . . . 140,409 141,064 142,168 9,112 5,753 7,884 6.5 4.1 5.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Connecticut - Continued

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,793 109,752 110,618 8,273 5,349 7,448 7.5 4.9 6.7

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 471,876 470,318 469,697 23,227 18,141 22,771 4.9 3.9 4.8

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,309 77,345 78,008 4,022 3,128 3,947 5.1 4.0 5.1

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 177,927 179,060 179,027 13,124 11,075 13,225 7.4 6.2 7.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . 389,396 392,765 397,115 25,527 21,456 23,540 6.6 5.5 5.9

Washington-Arlington-Alexandria. . . . . . . 3,274,082 3,322,085 3,341,563 133,145 115,190 129,506 4.1 3.5 3.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,668,561 9,909,607 9,973,791 485,449 467,212 519,406 5.0 4.7 5.2

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 326,679 331,666 332,943 15,262 14,585 16,647 4.7 4.4 5.0

Crestview-Fort Walton Beach-Destin. . . . 116,155 119,508 119,986 5,287 4,892 5,681 4.6 4.1 4.7

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282,216 289,551 293,497 15,395 14,815 16,788 5.5 5.1 5.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 136,470 139,882 142,342 6,060 5,775 6,767 4.4 4.1 4.8

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,564 47,266 47,749 3,422 3,142 3,603 7.2 6.6 7.5

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 714,770 736,680 736,550 35,198 33,268 37,961 4.9 4.5 5.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 278,900 287,843 289,931 16,247 15,541 17,517 5.8 5.4 6.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,022,255 3,089,811 3,100,186 150,558 150,855 158,065 5.0 4.9 5.1

Naples-Immokalee-Marco Island. . . . . . . . 169,529 169,079 171,263 7,884 7,615 8,587 4.7 4.5 5.0

North Port-Sarasota-Bradenton. . . . . . . . . 345,703 354,821 360,163 16,355 15,495 17,926 4.7 4.4 5.0

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,500 134,249 135,413 7,892 7,534 8,587 6.1 5.6 6.3

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,223,948 1,262,321 1,280,106 58,321 54,572 62,244 4.8 4.3 4.9

Palm Bay-Melbourne-Titusville. . . . . . . . . 255,599 263,029 265,143 14,004 12,815 14,639 5.5 4.9 5.5

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 91,138 91,788 92,442 5,091 4,735 5,494 5.6 5.2 5.9

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 210,551 215,477 216,793 10,753 10,086 11,649 5.1 4.7 5.4

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 202,515 207,678 209,502 11,093 10,628 11,972 5.5 5.1 5.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 68,343 70,317 70,923 3,819 3,529 4,118 5.6 5.0 5.8

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 61,758 63,610 64,087 3,762 3,647 4,003 6.1 5.7 6.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,750 37,265 37,401 2,409 2,309 2,559 6.7 6.2 6.8

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 183,566 189,659 190,370 9,103 8,549 9,946 5.0 4.5 5.2

Tampa-St. Petersburg-Clearwater. . . . . . 1,445,835 1,486,311 1,491,951 69,911 66,335 75,954 4.8 4.5 5.1

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 28,821 29,433 30,075 2,117 1,998 2,285 7.3 6.8 7.6

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,834,499 4,981,511 4,988,140 265,324 258,411 279,931 5.5 5.2 5.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,952 67,860 68,370 4,151 4,085 4,386 6.3 6.0 6.4

Athens-Clarke County. . . . . . . . . . . . . . . . . 95,347 96,572 97,571 4,692 4,844 5,065 4.9 5.0 5.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,876,167 2,985,227 2,983,456 149,612 147,899 158,411 5.2 5.0 5.3

Augusta-Richmond County. . . . . . . . . . . . . 259,847 264,851 266,698 15,557 13,584 15,728 6.0 5.1 5.9

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,879 52,247 51,966 2,976 2,762 3,024 5.8 5.3 5.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,826 124,769 124,662 8,435 7,810 8,724 6.8 6.3 7.0

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,781 62,172 63,356 4,473 3,703 4,500 7.1 6.0 7.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 94,211 97,646 97,813 4,224 4,083 4,649 4.5 4.2 4.8

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,819 32,917 33,038 1,851 1,933 2,092 5.8 5.9 6.3

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 103,003 104,860 104,581 6,055 5,956 6,457 5.9 5.7 6.2

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,881 43,811 44,081 2,679 2,466 2,863 6.2 5.6 6.5

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,202 181,529 182,829 9,397 9,003 9,475 5.3 5.0 5.2

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,241 64,297 64,360 3,336 3,247 3,512 5.3 5.1 5.5

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 81,574 83,581 84,012 4,647 4,516 5,020 5.7 5.4 6.0

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680,740 691,469 696,037 21,331 17,691 20,377 3.1 2.6 2.9

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,361 85,541 87,194 2,830 2,288 2,883 3.3 2.7 3.3

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 470,700 480,972 481,532 13,872 11,666 13,257 2.9 2.4 2.8

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 798,986 816,378 816,461 38,813 28,961 36,407 4.9 3.5 4.5

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 329,844 339,816 342,288 14,723 11,241 14,446 4.5 3.3 4.2

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 72,281 73,230 73,248 4,796 3,470 4,162 6.6 4.7 5.7

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,139 66,170 66,742 2,638 1,912 2,511 4.0 2.9 3.8

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,555 31,412 31,232 1,476 1,124 1,397 4.8 3.6 4.5

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,176 42,369 40,441 1,782 1,377 1,730 4.3 3.3 4.3

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,517,381 6,481,471 6,489,376 439,742 363,140 423,393 6.7 5.6 6.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 98,362 96,822 96,381 5,808 4,787 5,870 5.9 4.9 6.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,182 60,774 59,712 4,121 3,397 4,190 6.8 5.6 7.0

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 119,251 120,061 119,809 7,053 5,951 7,348 5.9 5.0 6.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,900,503 4,877,119 4,875,449 321,611 266,695 293,832 6.6 5.5 6.0

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,380 34,609 35,194 2,917 2,524 3,010 8.2 7.3 8.6

Davenport-Moline-Rock Island1. . . . . . . . . 192,847 190,678 191,994 12,826 10,198 12,172 6.7 5.3 6.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,684 49,839 50,180 3,886 3,127 3,883 7.7 6.3 7.7

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,911 55,507 55,363 4,353 3,619 4,580 7.9 6.5 8.3

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,864 181,592 182,134 14,353 11,832 15,177 7.7 6.5 8.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168,574 168,162 170,923 13,128 10,968 19,036 7.8 6.5 11.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,288 113,343 114,348 6,669 5,394 6,924 5.9 4.8 6.1

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,291,001 3,287,532 3,303,781 164,921 131,025 153,730 5.0 4.0 4.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 77,283 77,193 77,574 4,138 3,000 3,664 5.4 3.9 4.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,348 44,078 44,850 1,701 1,306 1,581 3.8 3.0 3.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 106,521 106,696 107,265 4,031 3,203 3,640 3.8 3.0 3.4

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,515 157,856 159,210 7,184 6,083 7,144 4.5 3.9 4.5

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.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Indiana - Continued

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 210,230 209,990 211,807 9,978 7,836 9,335 4.7 3.7 4.4

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,022,727 1,030,277 1,035,394 46,121 36,986 43,124 4.5 3.6 4.2

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,878 38,078 38,223 1,917 1,610 1,861 5.1 4.2 4.9

Lafayette-West Lafayette. . . . . . . . . . . . . . 109,550 108,009 110,165 4,786 3,797 4,508 4.4 3.5 4.1

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,552 47,510 47,485 3,462 2,691 3,156 7.1 5.7 6.6

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,335 54,674 54,638 3,198 2,596 3,048 6.0 4.7 5.6

South Bend-Mishawaka. . . . . . . . . . . . . . . 157,081 158,121 156,825 7,753 6,584 7,495 4.9 4.2 4.8

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,157 76,951 76,947 4,952 3,755 4,507 6.4 4.9 5.9

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,692,611 1,684,529 1,681,957 76,883 60,330 68,113 4.5 3.6 4.0

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,880 57,731 56,975 1,458 1,235 1,285 2.6 2.1 2.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 144,792 143,022 143,447 6,716 5,156 5,894 4.6 3.6 4.1

Des Moines-West Des Moines. . . . . . . . . 342,365 344,010 344,892 13,955 10,993 12,693 4.1 3.2 3.7

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,628 55,314 55,389 2,683 1,943 2,288 4.8 3.5 4.1

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,104 97,116 98,439 2,993 2,382 2,930 3.1 2.5 3.0

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,324 91,652 91,300 3,840 3,581 3,677 4.1 3.9 4.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 90,315 90,049 88,891 4,572 3,896 4,484 5.1 4.3 5.0

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,483,297 1,474,815 1,470,913 63,725 56,522 63,260 4.3 3.8 4.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,606 66,166 64,550 2,340 2,102 2,279 3.6 3.2 3.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,395 49,762 47,390 1,624 1,538 1,596 3.4 3.1 3.4

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,786 120,165 122,169 5,481 4,673 5,417 4.6 3.9 4.4

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312,041 306,631 306,725 14,740 13,382 14,539 4.7 4.4 4.7

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,956,786 2,009,243 2,025,037 114,577 90,832 118,133 5.9 4.5 5.8

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 76,562 80,578 80,387 4,047 2,837 3,974 5.3 3.5 4.9

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 64,199 65,598 66,193 3,373 2,817 3,721 5.3 4.3 5.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 257,157 266,716 264,956 10,698 8,600 11,214 4.2 3.2 4.2

Louisville/Jefferson County. . . . . . . . . . . . . 625,574 653,009 651,628 30,036 24,676 30,837 4.8 3.8 4.7

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 52,827 53,834 54,676 2,810 2,335 2,967 5.3 4.3 5.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,111,622 2,084,212 2,073,964 136,134 112,436 125,703 6.4 5.4 6.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,722 64,747 64,651 4,262 3,776 4,235 6.5 5.8 6.6

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 412,442 411,323 411,154 22,547 19,204 21,619 5.5 4.7 5.3

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,448 53,774 53,299 3,939 3,216 3,562 7.4 6.0 6.7

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 94,726 88,866 87,918 6,330 5,420 6,020 6.7 6.1 6.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 218,818 209,290 208,019 15,939 13,034 14,441 7.3 6.2 6.9

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 103,493 107,198 107,263 5,489 4,487 5,026 5.3 4.2 4.7

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,315 80,407 79,787 5,331 4,421 4,970 6.6 5.5 6.2

New Orleans-Metairie. . . . . . . . . . . . . . . . . 595,055 592,395 587,344 35,359 28,275 31,919 5.9 4.8 5.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 190,651 186,970 185,692 12,949 10,684 11,801 6.8 5.7 6.4

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672,505 688,709 688,462 31,061 24,167 27,811 4.6 3.5 4.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,520 70,865 70,421 3,114 2,373 2,747 4.5 3.3 3.9

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,351 56,057 57,008 2,258 1,689 1,969 4.1 3.0 3.5

Portland-South Portland. . . . . . . . . . . . . . . 196,759 202,240 203,492 6,662 5,303 6,038 3.4 2.6 3.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,134,982 3,172,633 3,179,859 149,803 122,921 143,205 4.8 3.9 4.5

Baltimore-Columbia-Towson. . . . . . . . . . . 1,469,637 1,485,434 1,486,148 71,419 58,863 68,350 4.9 4.0 4.6

California-Lexington Park. . . . . . . . . . . . . . 54,534 54,264 54,715 2,478 1,849 2,245 4.5 3.4 4.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 43,767 44,073 44,051 3,267 2,448 3,049 7.5 5.6 6.9

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 129,533 133,035 131,886 6,602 5,180 6,139 5.1 3.9 4.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,569,436 3,575,041 3,597,817 175,361 98,949 144,165 4.9 2.8 4.0

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 115,373 116,330 116,620 8,782 4,363 7,215 7.6 3.8 6.2

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,635,070 2,649,807 2,669,460 112,377 66,868 94,081 4.3 2.5 3.5

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 76,495 75,591 76,456 4,528 2,441 3,542 5.9 3.2 4.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 84,634 83,261 84,844 6,662 3,401 5,456 7.9 4.1 6.4

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,998 42,357 42,769 2,607 1,503 2,169 6.1 3.5 5.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 364,060 363,584 362,856 21,784 12,456 17,899 6.0 3.4 4.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 345,932 343,909 346,489 18,224 10,438 15,101 5.3 3.0 4.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,751,237 4,830,685 4,863,951 241,886 215,298 275,806 5.1 4.5 5.7

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 188,017 193,594 192,471 5,789 5,269 6,600 3.1 2.7 3.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,551 64,496 64,741 2,988 2,697 3,315 4.7 4.2 5.1

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,668 51,969 52,456 2,924 2,565 3,309 5.7 4.9 6.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,031,314 2,068,225 2,082,674 109,066 99,229 128,490 5.4 4.8 6.2

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,328 182,667 183,405 10,626 9,085 11,349 5.9 5.0 6.2

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 557,463 568,628 575,536 19,040 17,091 21,558 3.4 3.0 3.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,499 73,654 74,060 3,566 3,092 3,948 4.9 4.2 5.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 164,081 168,978 169,956 7,104 6,618 8,156 4.3 3.9 4.8

Lansing-East Lansing. . . . . . . . . . . . . . . . . 242,884 247,361 249,909 10,528 8,238 10,823 4.3 3.3 4.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,839 40,856 41,038 1,989 1,718 2,208 4.9 4.2 5.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,082 76,163 76,446 3,349 2,659 3,511 4.4 3.5 4.6

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 76,354 75,929 77,028 3,939 3,592 4,497 5.2 4.7 5.8

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 71,815 72,942 73,364 3,648 3,385 4,208 5.1 4.6 5.7

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,373 88,758 88,908 4,863 4,107 5,306 5.5 4.6 6.0

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,975,603 2,994,599 2,990,254 136,200 121,941 148,377 4.6 4.1 5.0

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,996 141,000 141,265 9,401 7,784 9,402 6.6 5.5 6.7

Mankato-North Mankato. . . . . . . . . . . . . . . 60,449 59,848 59,932 2,062 1,856 2,326 3.4 3.1 3.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Minnesota - Continued

Minneapolis-St. Paul-Bloomington. . . . . . 1,909,819 1,931,869 1,926,430 75,858 69,700 81,727 4.0 3.6 4.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,936 118,462 118,844 4,639 3,942 5,023 3.9 3.3 4.2

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,286 110,029 109,984 5,329 4,656 5,933 4.9 4.2 5.4

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,272,194 1,289,299 1,289,838 82,377 73,153 79,281 6.5 5.7 6.1

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,498 165,121 165,994 10,737 9,725 10,673 6.5 5.9 6.4

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 67,538 68,644 69,264 3,876 3,463 3,749 5.7 5.0 5.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269,677 274,229 275,687 14,372 13,148 13,794 5.3 4.8 5.0

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,082,328 3,081,307 3,067,580 140,552 121,063 140,844 4.6 3.9 4.6

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,812 48,835 48,334 2,128 2,088 2,331 4.4 4.3 4.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,536 99,870 96,823 3,056 2,675 2,911 3.1 2.7 3.0

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 75,990 75,258 75,509 2,805 2,392 2,839 3.7 3.2 3.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,813 85,824 85,596 3,141 3,298 3,259 3.6 3.8 3.8

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,117,952 1,125,999 1,130,762 47,565 42,487 51,300 4.3 3.8 4.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,691 65,821 65,295 2,674 2,473 2,810 4.1 3.8 4.3

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,470,994 1,467,325 1,464,162 71,785 58,946 67,452 4.9 4.0 4.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,895 233,913 231,458 8,813 8,117 8,694 3.8 3.5 3.8

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 518,896 522,823 520,372 27,530 22,261 25,028 5.3 4.3 4.8

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,033 88,314 87,474 3,847 3,274 3,618 4.4 3.7 4.1

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,484 38,679 38,276 1,943 1,574 1,727 5.0 4.1 4.5

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,686 61,880 60,268 3,026 2,371 2,655 5.0 3.8 4.4

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 999,380 1,007,426 1,001,585 35,162 31,903 36,585 3.5 3.2 3.7

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,686 43,203 44,251 2,371 1,520 2,602 5.4 3.5 5.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,049 179,085 177,199 5,397 4,998 5,569 3.1 2.8 3.1

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 473,591 481,060 474,257 17,647 15,613 17,218 3.7 3.2 3.6

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,415,888 1,429,013 1,428,686 93,218 70,178 72,649 6.6 4.9 5.1

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,732 24,460 24,485 1,900 1,294 1,456 7.7 5.3 5.9

Las Vegas-Henderson-Paradise. . . . . . . . 1,042,567 1,051,568 1,053,144 68,231 53,111 53,637 6.5 5.1 5.1

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,278 234,596 231,917 14,300 9,762 10,989 6.3 4.2 4.7

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 742,972 747,463 748,994 24,654 18,907 23,681 3.3 2.5 3.2

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 81,239 85,203 83,158 2,537 1,890 2,284 3.1 2.2 2.7

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,756 116,747 117,343 3,640 2,846 3,571 3.1 2.4 3.0

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 72,994 74,941 74,559 2,171 1,728 2,098 3.0 2.3 2.8

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,485,206 4,491,251 4,486,203 232,767 187,578 212,968 5.2 4.2 4.7

Atlantic City-Hammonton. . . . . . . . . . . . . . 121,772 121,697 120,961 10,437 8,740 9,853 8.6 7.2 8.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 41,380 42,657 41,297 6,434 5,040 5,792 15.5 11.8 14.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,302 200,030 199,429 8,790 7,039 8,198 4.4 3.5 4.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 67,595 67,910 68,103 5,720 4,395 4,994 8.5 6.5 7.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 921,162 934,596 930,107 62,184 58,415 64,823 6.8 6.3 7.0

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 417,422 427,698 424,796 25,364 23,858 26,268 6.1 5.6 6.2

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 54,618 53,445 53,859 4,456 4,575 5,090 8.2 8.6 9.5

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 92,857 96,701 94,475 7,130 6,310 7,255 7.7 6.5 7.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,761 73,261 72,874 3,962 3,546 4,023 5.5 4.8 5.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,575,623 9,437,309 9,499,659 509,899 420,764 470,435 5.3 4.5 5.0

Albany-Schenectady-Troy. . . . . . . . . . . . . . 448,230 439,841 442,662 20,659 17,229 20,473 4.6 3.9 4.6

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 109,415 106,981 106,974 6,925 5,582 6,661 6.3 5.2 6.2

Buffalo-Cheektowaga-Niagara Falls. . . . . 548,003 541,376 543,818 30,773 27,729 31,378 5.6 5.1 5.8

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,080 35,790 36,199 2,334 1,877 2,067 6.3 5.2 5.7

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,576 58,663 59,277 3,639 3,209 3,599 6.1 5.5 6.1

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,775 49,620 49,729 2,230 1,887 2,140 4.6 3.8 4.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,856 86,490 86,826 4,258 3,713 4,299 4.8 4.3 5.0

New York-Newark-Jersey City. . . . . . . . . . 9,965,945 9,888,806 9,926,738 508,744 410,419 457,574 5.1 4.2 4.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 527,030 512,607 512,470 27,152 24,075 26,685 5.2 4.7 5.2

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,634 301,594 303,864 17,236 14,973 16,636 5.6 5.0 5.5

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,660 126,623 128,222 7,708 6,483 7,336 5.9 5.1 5.7

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,806 44,552 45,085 3,396 3,162 3,478 7.4 7.1 7.7

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,783,164 4,888,173 4,896,994 260,255 238,340 269,270 5.4 4.9 5.5

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220,631 224,685 225,559 9,950 8,951 10,358 4.5 4.0 4.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,437 79,633 79,234 3,893 3,564 4,010 5.0 4.5 5.1

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,255,945 1,297,593 1,302,164 63,300 58,721 65,907 5.0 4.5 5.1

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 282,653 291,497 290,612 13,383 12,392 13,926 4.7 4.3 4.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,418 147,903 148,757 9,915 9,064 10,079 6.7 6.1 6.8

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,500 52,942 53,337 3,210 3,046 3,326 6.0 5.8 6.2

Greensboro-High Point. . . . . . . . . . . . . . . . 363,201 369,169 368,562 20,060 18,324 20,594 5.5 5.0 5.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,228 88,603 88,559 4,875 4,619 5,098 5.6 5.2 5.8

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 168,861 171,119 173,033 8,836 7,984 8,958 5.2 4.7 5.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 63,445 63,593 63,516 3,750 3,472 3,970 5.9 5.5 6.3

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,974 51,573 51,931 2,905 2,663 2,968 5.7 5.2 5.7

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664,073 686,729 687,013 30,300 28,608 31,964 4.6 4.2 4.7

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 66,031 67,725 65,961 5,002 4,653 5,220 7.6 6.9 7.9

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 138,931 142,077 143,213 7,518 6,657 7,540 5.4 4.7 5.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 319,062 322,262 323,422 16,188 14,922 16,783 5.1 4.6 5.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 408,127 412,466 414,765 16,099 12,674 15,331 3.9 3.1 3.7

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.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

North Dakota - Continued

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,856 69,377 70,207 2,620 2,131 2,605 3.8 3.1 3.7

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,005 137,685 138,339 4,560 3,747 4,701 3.4 2.7 3.4

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,034 57,749 58,353 1,987 1,694 2,127 3.5 2.9 3.6

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,649,557 5,663,487 5,657,602 317,810 269,865 338,993 5.6 4.8 6.0

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,541 356,569 354,537 20,479 17,765 22,261 5.8 5.0 6.3

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 197,716 196,662 197,772 12,515 10,453 13,132 6.3 5.3 6.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,062,467 1,085,120 1,082,859 52,618 43,595 54,461 5.0 4.0 5.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,015,153 1,012,466 1,016,073 52,236 53,394 67,005 5.1 5.3 6.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,033,863 1,054,994 1,048,480 47,904 41,069 50,280 4.6 3.9 4.8

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379,230 381,043 380,170 19,951 17,023 20,984 5.3 4.5 5.5

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,449 47,609 47,747 2,608 2,370 2,971 5.5 5.0 6.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,070 52,731 52,429 3,454 2,874 3,516 6.5 5.5 6.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,067 62,301 62,262 3,710 3,042 3,706 5.9 4.9 6.0

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,412 302,824 303,337 16,915 14,104 17,858 5.6 4.7 5.9

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,365 50,012 49,844 4,663 3,247 4,158 9.1 6.5 8.3

Youngstown-Warren-Boardman. . . . . . . . 250,543 244,782 245,206 21,100 14,491 17,959 8.4 5.9 7.3

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,823,746 1,821,171 1,820,596 87,307 83,463 84,864 4.8 4.6 4.7

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,606 29,983 29,816 1,267 1,216 1,238 4.3 4.1 4.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,153 52,317 52,108 2,465 2,297 2,353 4.7 4.4 4.5

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 661,692 665,547 662,590 27,174 26,242 26,839 4.1 3.9 4.1

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,347 472,881 475,346 22,685 22,688 22,956 4.8 4.8 4.8

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,003,414 2,052,822 2,048,607 105,493 85,717 91,842 5.3 4.2 4.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,147 57,121 57,307 3,558 2,750 2,974 6.3 4.8 5.2

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 86,804 89,684 90,137 5,087 4,037 4,592 5.9 4.5 5.1

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,230 47,338 47,059 1,819 1,489 1,541 3.9 3.1 3.3

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,052 180,260 179,973 9,466 7,992 8,305 5.4 4.4 4.6

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 33,532 34,486 34,734 2,490 1,918 2,109 7.4 5.6 6.1

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,032 102,143 101,366 6,285 4,815 5,348 6.3 4.7 5.3

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,254,467 1,282,972 1,280,238 61,074 51,561 54,322 4.9 4.0 4.2

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189,417 197,119 194,886 10,526 8,558 9,250 5.6 4.3 4.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,425,448 6,395,720 6,379,947 362,723 306,757 337,717 5.6 4.8 5.3

Allentown-Bethlehem-Easton. . . . . . . . . . . 432,597 427,239 426,861 23,290 19,551 22,314 5.4 4.6 5.2

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,031 59,417 59,717 3,437 2,919 3,248 5.6 4.9 5.4

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,091 42,278 42,823 2,542 2,072 2,440 5.9 4.9 5.7

Chambersburg-Waynesboro. . . . . . . . . . . 78,421 76,129 76,300 4,129 3,458 3,821 5.3 4.5 5.0

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,638 80,865 81,400 5,297 4,639 5,016 6.5 5.7 6.2

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,909 131,552 131,008 8,794 7,989 8,674 6.6 6.1 6.6

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,243 54,111 54,846 2,408 1,932 2,250 4.4 3.6 4.1

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 293,390 292,716 293,067 13,137 11,358 12,449 4.5 3.9 4.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 61,877 60,309 59,983 4,576 3,779 4,120 7.4 6.3 6.9

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 276,807 274,433 275,225 11,931 9,815 11,359 4.3 3.6 4.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,717 69,256 69,241 3,323 2,610 2,966 4.8 3.8 4.3

Philadelphia-Camden-Wilmington. . . . . . . 3,062,651 3,089,962 3,083,500 159,927 133,141 146,483 5.2 4.3 4.8

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,212,212 1,202,393 1,199,352 72,531 61,253 68,056 6.0 5.1 5.7

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,062 211,393 211,233 10,726 9,319 10,268 5.0 4.4 4.9

Scranton--Wilkes-Barre--Hazleton. . . . . . . 279,962 277,954 275,821 18,210 15,030 16,831 6.5 5.4 6.1

State College. . . . . . . . . . . . . . . . . . . . . . . . 76,709 78,983 75,544 3,429 2,957 3,119 4.5 3.7 4.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 59,902 57,750 57,910 4,178 3,472 3,770 7.0 6.0 6.5

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 234,616 232,281 233,298 11,336 9,280 10,563 4.8 4.0 4.5

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 549,590 550,196 548,997 35,567 24,653 30,222 6.5 4.5 5.5

Providence-Warwick. . . . . . . . . . . . . . . . . . 676,706 675,250 675,442 43,320 28,387 36,610 6.4 4.2 5.4

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,265,096 2,283,712 2,303,328 126,284 95,277 112,401 5.6 4.2 4.9

Charleston-North Charleston. . . . . . . . . . . 366,719 373,158 376,140 17,383 13,032 15,501 4.7 3.5 4.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 399,882 399,479 404,009 20,219 15,506 18,170 5.1 3.9 4.5

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,010 94,906 95,873 5,960 4,363 5,130 6.3 4.6 5.4

Greenville-Anderson-Mauldin. . . . . . . . . . . 417,963 421,460 421,888 20,387 15,514 18,409 4.9 3.7 4.4

Hilton Head Island-Bluffton-Beaufort. . . . 81,722 82,653 83,059 4,207 3,276 3,879 5.1 4.0 4.7

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,679 180,543 182,799 13,973 10,757 12,968 7.8 6.0 7.1

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 152,207 154,450 155,832 8,041 6,027 7,230 5.3 3.9 4.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,252 43,797 44,473 2,861 2,183 2,608 6.5 5.0 5.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 443,642 450,700 449,888 14,459 13,748 15,061 3.3 3.1 3.3

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,860 71,225 71,141 2,417 2,306 2,581 3.5 3.2 3.6

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,382 147,687 147,650 3,991 3,750 4,124 2.7 2.5 2.8

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,070,950 3,156,140 3,162,588 148,116 155,435 181,640 4.8 4.9 5.7

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 254,606 261,416 262,819 12,441 12,876 14,667 4.9 4.9 5.6

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 108,740 110,135 110,868 5,851 5,862 7,018 5.4 5.3 6.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,824 62,020 58,667 2,591 2,767 3,254 4.6 4.5 5.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,419 63,305 63,120 3,215 3,251 3,789 5.2 5.1 6.0

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 88,053 89,598 89,805 4,709 5,011 5,854 5.3 5.6 6.5

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 135,454 137,665 137,278 6,822 7,099 8,050 5.0 5.2 5.9

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403,701 411,177 412,560 18,024 19,259 22,356 4.5 4.7 5.4

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.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Tennessee - Continued

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 616,410 631,107 626,729 32,959 33,686 37,800 5.3 5.3 6.0

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,530 50,873 50,792 2,775 2,695 3,226 5.6 5.3 6.4

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 946,521 983,683 985,463 34,657 37,361 42,616 3.7 3.8 4.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,112,957 13,353,321 13,357,997 591,497 605,992 660,876 4.5 4.5 4.9

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,183 74,368 74,051 2,874 2,827 3,085 3.9 3.8 4.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,195 131,723 131,883 3,975 4,103 4,426 3.1 3.1 3.4

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,088,548 1,120,142 1,122,450 35,328 35,526 38,974 3.2 3.2 3.5

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 174,905 173,738 175,317 12,001 12,974 14,379 6.9 7.5 8.2

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 164,025 166,542 167,827 11,812 12,244 13,630 7.2 7.4 8.1

College Station-Bryan. . . . . . . . . . . . . . . . . 124,256 126,576 127,139 4,311 4,284 4,684 3.5 3.4 3.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 203,898 206,001 205,920 11,729 12,774 14,072 5.8 6.2 6.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,616,290 3,732,597 3,742,503 140,205 137,964 150,911 3.9 3.7 4.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346,530 354,344 354,567 17,286 17,026 18,490 5.0 4.8 5.2

Houston-The Woodlands-Sugar Land. . . 3,263,473 3,299,559 3,291,974 159,771 174,603 189,632 4.9 5.3 5.8

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 172,583 177,130 177,632 7,570 7,531 8,343 4.4 4.3 4.7

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,184 114,627 114,628 5,542 5,223 5,777 4.9 4.6 5.0

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,367 97,745 97,789 5,378 5,789 6,415 5.5 5.9 6.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154,742 158,103 157,933 5,195 5,014 5,406 3.4 3.2 3.4

McAllen-Edinburg-Mission. . . . . . . . . . . . . 332,468 339,921 340,584 27,402 28,011 30,769 8.2 8.2 9.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,702 86,198 86,403 3,533 3,431 3,558 4.0 4.0 4.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,131 74,904 74,986 4,317 4,232 4,375 5.6 5.6 5.8

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,608 54,353 53,857 2,295 2,283 2,463 4.2 4.2 4.6

San Antonio-New Braunfels. . . . . . . . . . . . 1,116,329 1,143,133 1,141,176 41,442 41,609 44,937 3.7 3.6 3.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 59,728 61,016 61,063 2,381 2,197 2,423 4.0 3.6 4.0

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,673 64,581 64,157 3,092 2,968 3,263 4.8 4.6 5.1

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,304 106,795 105,520 4,454 4,629 4,973 4.3 4.3 4.7

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,493 47,122 46,964 2,191 2,472 2,741 4.6 5.2 5.8

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,910 122,273 122,093 4,677 4,676 5,081 3.9 3.8 4.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 63,884 63,225 63,281 2,906 2,634 2,862 4.5 4.2 4.5

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,483,167 1,527,220 1,532,241 58,060 44,456 50,087 3.9 2.9 3.3

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,243 68,750 68,505 2,297 1,784 1,984 3.4 2.6 2.9

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 308,363 316,355 320,019 12,187 9,185 10,485 4.0 2.9 3.3

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 278,504 289,563 289,861 9,286 7,241 8,268 3.3 2.5 2.9

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,773 67,892 67,651 2,917 2,219 2,400 4.5 3.3 3.5

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 624,675 644,938 644,244 22,345 17,388 19,299 3.6 2.7 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342,359 343,751 345,454 13,564 9,760 12,188 4.0 2.8 3.5

Burlington-South Burlington. . . . . . . . . . . . 122,367 123,549 124,675 3,756 2,739 3,264 3.1 2.2 2.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,179,096 4,237,986 4,243,709 175,530 160,026 177,641 4.2 3.8 4.2

Blacksburg-Christiansburg-Radford. . . . . 86,389 91,673 88,645 3,877 3,731 5,050 4.5 4.1 5.7

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 112,657 116,805 115,009 4,268 3,804 4,289 3.8 3.3 3.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 63,146 65,563 64,983 2,559 2,263 2,518 4.1 3.5 3.9

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,195 121,752 121,315 5,619 5,213 5,781 4.7 4.3 4.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 655,750 662,447 664,189 27,936 25,914 28,275 4.3 3.9 4.3

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155,372 158,103 158,478 6,384 5,951 6,544 4.1 3.8 4.1

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 57,739 59,184 59,206 2,337 2,205 2,264 4.0 3.7 3.8

Virginia Beach-Norfolk-Newport News. . . 822,527 826,801 830,693 39,618 35,678 38,768 4.8 4.3 4.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,968 69,007 69,382 2,738 2,351 2,689 4.0 3.4 3.9

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,580,828 3,666,401 3,677,264 222,835 193,221 212,620 6.2 5.3 5.8

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 107,780 109,505 108,622 7,124 6,351 6,920 6.6 5.8 6.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 119,070 119,779 119,680 7,059 6,585 7,160 5.9 5.5 6.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . 130,414 133,314 133,441 11,043 10,306 11,674 8.5 7.7 8.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,015 45,315 45,294 3,654 3,328 3,528 8.1 7.3 7.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . 57,576 58,584 58,453 4,409 3,925 4,246 7.7 6.7 7.3

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 130,325 134,274 134,311 8,166 7,401 8,106 6.3 5.5 6.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 1,985,260 2,039,201 2,052,343 99,054 82,526 90,019 5.0 4.0 4.4

Spokane-Spokane Valley. . . . . . . . . . . . . . 258,299 262,631 262,504 20,009 17,209 19,033 7.7 6.6 7.3

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 29,870 30,681 30,705 2,140 1,897 2,218 7.2 6.2 7.2

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 60,326 61,560 61,373 5,142 4,121 4,903 8.5 6.7 8.0

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,402 121,626 123,442 13,171 11,861 13,712 11.1 9.8 11.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 774,279 771,785 770,517 55,903 39,261 47,516 7.2 5.1 6.2

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,708 44,242 44,318 3,951 2,697 3,064 8.6 6.1 6.9

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 96,083 95,226 94,901 6,538 4,751 5,622 6.8 5.0 5.9

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 143,988 145,083 145,627 10,571 7,767 9,858 7.3 5.4 6.8

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 65,059 66,071 64,438 3,494 2,397 3,081 5.4 3.6 4.8

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,774 38,558 38,379 2,739 1,951 2,567 7.1 5.1 6.7

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,183 64,126 63,984 5,585 3,693 4,959 8.6 5.8 7.8

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,084,452 3,098,335 3,094,532 144,473 114,831 130,641 4.7 3.7 4.2

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,226 131,572 132,339 5,114 4,264 4,819 3.9 3.2 3.6

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,341 91,522 90,442 4,221 3,397 4,018 4.7 3.7 4.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 56,255 57,493 57,035 2,364 1,704 2,033 4.2 3.0 3.6

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 170,438 170,260 170,300 7,515 5,930 6,698 4.4 3.5 3.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

Jan.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

Wisconsin - Continued

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 83,539 83,750 84,361 4,254 3,335 4,167 5.1 4.0 4.9

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 76,719 78,585 77,826 3,463 2,706 3,238 4.5 3.4 4.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378,284 383,884 384,517 12,799 10,163 11,716 3.4 2.6 3.0

Milwaukee-Waukesha-West Allis. . . . . . . 821,228 815,195 816,263 38,476 31,505 34,313 4.7 3.9 4.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 92,188 92,525 93,058 3,677 2,979 3,306 4.0 3.2 3.6

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,100 98,049 98,689 5,435 4,290 4,955 5.5 4.4 5.0

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 60,456 61,852 61,741 2,318 1,910 2,103 3.8 3.1 3.4

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,245 74,669 74,365 3,034 2,404 2,723 4.1 3.2 3.7

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,160 299,114 301,259 17,939 14,866 16,803 6.0 5.0 5.6

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,161 40,169 40,273 3,068 2,730 3,043 7.3 6.8 7.6

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,668 49,481 49,988 2,490 2,011 2,311 5.1 4.1 4.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,122,044 1,138,998 1,124,443 125,139 136,773 131,322 11.2 12.0 11.7

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 88,750 92,876 91,106 12,853 15,542 14,768 14.5 16.7 16.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,232 54,446 53,098 7,219 8,187 7,892 13.6 15.0 14.9

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,868 22,763 22,302 3,653 4,275 3,820 16.7 18.8 17.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,810 29,526 29,532 3,586 4,048 4,199 12.4 13.7 14.2

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,052 99,734 97,937 15,099 15,521 14,720 15.2 15.6 15.0

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,977 38,515 38,192 4,970 5,933 5,994 13.8 15.4 15.7

San Juan-Carolina-Caguas. . . . . . . . . . . . 747,030 752,596 744,906 70,371 75,244 72,638 9.4 10.0 9.8

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 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 2016 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.

2016

Dec.

2016

Jan.

2017p

Number Percent of labor force

Jan.

2016

Dec.

2016

Jan.

2017p

Jan.

2016

Dec.

2016

Jan.

2017p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 18,916,318 19,098,452 19,082,543 1,112,542 957,110 1,049,247 5.9 5.0 5.5

Los Angeles-Long Beach-Anaheim. . . 6,586,911 6,647,478 6,630,275 351,561 293,940 319,055 5.3 4.4 4.8

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,593,400 1,599,580 1,593,060 65,071 56,436 61,664 4.1 3.5 3.9

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 4,993,511 5,047,898 5,037,215 286,490 237,504 257,391 5.7 4.7 5.1

San Francisco-Oakland-Hayward. . . . . 2,510,146 2,557,905 2,539,795 98,960 85,906 93,899 3.9 3.4 3.7

Oakland-Hayward-Berkeley. . . . . . . . 1,377,325 1,401,393 1,394,161 61,908 53,337 58,229 4.5 3.8 4.2

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 993,880 1,015,125 1,005,340 32,424 28,468 31,166 3.3 2.8 3.1

San Rafael. . . . . . . . . . . . . . . . . . . . . . 138,941 141,387 140,294 4,628 4,101 4,504 3.3 2.9 3.2

District of Columbia. . . . . . . . . . . . . . . . . . . 389,396 392,765 397,115 25,527 21,456 23,540 6.6 5.5 5.9

Washington-Arlington-Alexandria2. . . . 3,274,082 3,322,085 3,341,563 133,145 115,190 129,506 4.1 3.5 3.9

Silver Spring-Frederick-Rockville3.. . 675,748 681,902 686,799 24,767 19,762 23,697 3.7 2.9 3.5

Washington-Arlington-Alexandria2.. . 2,598,334 2,640,183 2,654,764 108,378 95,428 105,809 4.2 3.6 4.0

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,668,561 9,909,607 9,973,791 485,449 467,212 519,406 5.0 4.7 5.2

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,022,255 3,089,811 3,100,186 150,558 150,855 158,065 5.0 4.9 5.1

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 988,605 1,010,074 1,018,162 46,827 44,709 50,836 4.7 4.4 5.0

Miami-Miami Beach-Kendall. . . . . . . 1,333,962 1,361,651 1,360,727 70,081 72,959 69,648 5.3 5.4 5.1

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 699,688 718,086 721,297 33,650 33,187 37,581 4.8 4.6 5.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,517,381 6,481,471 6,489,376 439,742 363,140 423,393 6.7 5.6 6.5

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,900,503 4,877,119 4,875,449 321,611 266,695 293,832 6.6 5.5 6.0

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,781,009 3,758,619 3,751,302 247,654 205,362 219,109 6.5 5.5 5.8

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 320,809 322,453 323,362 21,898 18,404 23,424 6.8 5.7 7.2

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 339,042 338,901 343,200 23,388 18,837 21,691 6.9 5.6 6.3

Lake County-Kenosha County2. . . . 459,643 457,146 457,585 28,671 24,092 29,608 6.2 5.3 6.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,569,436 3,575,041 3,597,817 175,361 98,949 144,165 4.9 2.8 4.0

Boston-Cambridge-Nashua2. . . . . . . . . 2,635,070 2,649,807 2,669,460 112,377 66,868 94,081 4.3 2.5 3.5

Boston-Cambridge-Newton. . . . . . . . 1,558,346 1,572,112 1,583,012 61,884 36,521 51,481 4.0 2.3 3.3

Brockton-Bridgewater-Easton. . . . . . 104,404 105,416 105,533 5,689 3,216 4,613 5.4 3.1 4.4

Framingham. . . . . . . . . . . . . . . . . . . . . 155,200 154,404 155,985 6,065 3,490 5,075 3.9 2.3 3.3

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 112,401 112,557 113,611 4,973 3,190 4,374 4.4 2.8 3.8

Lawrence-Methuen Town-Salem2.. . 95,689 94,470 95,522 6,049 3,545 4,970 6.3 3.8 5.2

Lowell-Billerica-Chelmsford2. . . . . . . 184,920 184,955 187,394 8,990 5,247 7,462 4.9 2.8 4.0

Lynn-Saugus-Marblehead. . . . . . . . . 83,021 82,838 83,222 4,013 2,290 3,234 4.8 2.8 3.9

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,718 171,099 173,011 6,098 4,668 5,943 3.6 2.7 3.4

Peabody-Salem-Beverly. . . . . . . . . . . 89,390 90,373 89,933 4,019 2,228 3,198 4.5 2.5 3.6

Taunton-Middleborough-Norton. . . . 81,981 81,583 82,237 4,597 2,473 3,731 5.6 3.0 4.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,751,237 4,830,685 4,863,951 241,886 215,298 275,806 5.1 4.5 5.7

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,031,314 2,068,225 2,082,674 109,066 99,229 128,490 5.4 4.8 6.2

Detroit-Dearborn-Livonia. . . . . . . . . . 760,491 773,015 782,498 46,843 43,961 56,507 6.2 5.7 7.2

Warren-Troy-Farmington Hills. . . . . . 1,270,823 1,295,212 1,300,176 62,223 55,269 71,982 4.9 4.3 5.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,575,623 9,437,309 9,499,659 509,899 420,764 470,435 5.3 4.5 5.0

New York-Newark-Jersey City2. . . . . . 9,965,945 9,888,806 9,926,738 508,744 410,419 457,574 5.1 4.2 4.6

Dutchess County-Putnam County.. . 192,572 188,304 187,079 8,587 7,443 8,370 4.5 4.0 4.5

Nassau County-Suffolk County. . . . . 1,468,637 1,454,318 1,457,838 65,975 56,718 64,233 4.5 3.9 4.4

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,242,992 1,229,641 1,234,729 62,878 50,660 57,656 5.1 4.1 4.7

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,061,744 7,016,543 7,047,092 371,304 295,598 327,315 5.3 4.2 4.6

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,425,448 6,395,720 6,379,947 362,723 306,757 337,717 5.6 4.8 5.3

Philadelphia-Camden-Wilmington2. . . . 3,062,651 3,089,962 3,083,500 159,927 133,141 146,483 5.2 4.3 4.8

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 634,871 640,187 644,349 32,953 26,436 29,742 5.2 4.1 4.6

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,058,907 1,065,189 1,061,159 45,852 38,556 42,330 4.3 3.6 4.0

Philadelphia. . . . . . . . . . . . . . . . . . . . . 988,593 1,004,821 999,221 62,069 53,327 56,303 6.3 5.3 5.6

Wilmington3. . . . . . . . . . . . . . . . . . . . . 380,280 379,765 378,771 19,053 14,822 18,108 5.0 3.9 4.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,112,957 13,353,321 13,357,997 591,497 605,992 660,876 4.5 4.5 4.9

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,616,290 3,732,597 3,742,503 140,205 137,964 150,911 3.9 3.7 4.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,433,402 2,520,613 2,527,104 92,318 91,579 100,466 3.8 3.6 4.0

Fort Worth-Arlington. . . . . . . . . . . . . . 1,182,888 1,211,984 1,215,399 47,887 46,385 50,445 4.0 3.8 4.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,580,828 3,666,401 3,677,264 222,835 193,221 212,620 6.2 5.3 5.8

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 1,985,260 2,039,201 2,052,343 99,054 82,526 90,019 5.0 4.0 4.4

Seattle-Bellevue-Everett. . . . . . . . . . . 1,580,460 1,623,073 1,636,699 71,670 57,743 63,341 4.5 3.6 3.9

Tacoma-Lakewood. . . . . . . . . . . . . . . 404,800 416,128 415,644 27,384 24,783 26,678 6.8 6.0 6.4

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 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, N.J., are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-

Md.-W.Va., the metropolitan area and division titles are identical. Data for 2016 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 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,975.5 1,992.6 1,941.2 1,967.9 26.7 1.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 45.9 45.6 45.5 -0.1 -0.2

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 64.2 60.8 62.8 2.0 3.3

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522.2 525.3 512.7 518.3 5.6 1.1

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.9 71.8 68.3 70.0 1.7 2.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 53.6 53.6 54.1 0.5 0.9

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 58.1 56.7 57.6 0.9 1.6

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 57.5 56.2 56.8 0.6 1.1

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.2 38.6 37.8 38.5 0.7 1.9

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.6 229.5 222.0 226.1 4.1 1.8

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.7 179.8 176.7 176.6 -0.1 -0.1

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.0 174.1 169.9 171.8 1.9 1.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 106.4 103.4 104.7 1.3 1.3

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321.5 315.0 317.9 310.2 -7.7 -2.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.8 175.1 174.8 171.1 -3.7 -2.1

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.1 36.4 35.9 35.0 -0.9 -2.5

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,716.8 2,773.0 2,662.6 2,716.3 53.7 2.0

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 66.4 63.0 64.6 1.6 2.5

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.4 48.5 46.9 47.6 0.7 1.5

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,980.4 2,032.6 1,940.6 1,987.8 47.2 2.4

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.9 60.3 61.9 1.6 2.7

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.6 34.6 34.0 34.1 0.1 0.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 378.1 379.3 371.4 372.3 0.9 0.2

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 56.1 54.3 56.2 1.9 3.5

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,232.9 1,240.6 1,204.5 1,216.3 11.8 1.0

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.4 249.6 237.8 246.8 9.0 3.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.7 114.5 112.3 111.5 -0.8 -0.7

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 37.4 37.1 38.0 0.9 2.4

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 56.8 54.2 55.9 1.7 3.1

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.2 356.6 349.3 352.1 2.8 0.8

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.8 32.6 32.7 0.1 0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,454.9 16,763.5 16,158.1 16,456.0 297.9 1.8

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.5 259.3 255.9 255.9 0.0 0.0

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 82.0 77.0 79.9 2.9 3.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.2 52.0 52.8 0.8 1.5

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331.2 340.1 325.4 334.5 9.1 2.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.8 38.7 37.3 37.7 0.4 1.1

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,976.5 6,064.6 5,878.4 5,957.8 79.4 1.4

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.1 37.3 35.7 37.1 1.4 3.9

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.1 66.5 63.1 64.4 1.3 2.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169.0 174.4 166.4 172.4 6.0 3.6

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.5 70.9 68.2 69.1 0.9 1.3

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.7 307.4 295.8 303.6 7.8 2.6

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 66.2 62.7 65.0 2.3 3.7

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,413.2 1,445.9 1,381.9 1,426.0 44.1 3.2

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 939.4 962.3 929.7 947.8 18.1 1.9

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.2 138.5 132.1 135.6 3.5 2.6

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,418.3 1,444.6 1,393.3 1,425.6 32.3 2.3

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,319.1 2,392.9 2,286.2 2,344.4 58.2 2.5

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,061.0 1,092.0 1,048.6 1,070.1 21.5 2.1

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 113.6 111.6 112.9 1.3 1.2

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.8 101.8 97.7 100.0 2.3 2.4

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.5 183.8 177.4 180.7 3.3 1.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200.0 204.0 196.1 198.9 2.8 1.4

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.2 228.7 219.4 225.3 5.9 2.7

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.2 137.9 132.6 135.0 2.4 1.8

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.9 126.3 121.5 123.9 2.4 2.0

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 43.7 40.5 42.7 2.2 5.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,592.0 2,631.0 2,543.7 2,588.2 44.5 1.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.2 189.0 181.9 186.5 4.6 2.5

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.2 282.7 270.5 279.0 8.5 3.1

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,424.0 1,448.4 1,398.9 1,427.2 28.3 2.0

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.9 163.8 153.9 159.2 5.3 3.4

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 61.4 59.3 59.0 -0.3 -0.5

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.7 100.6 97.7 98.9 1.2 1.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 62.4 60.6 61.6 1.0 1.7

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,698.1 1,693.8 1,651.8 1,653.7 1.9 0.1

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.8 411.9 403.4 400.3 -3.1 -0.8

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 80.3 77.5 78.1 0.6 0.8

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.1 573.5 562.8 562.8 0.0 0.0

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.9 284.6 276.0 273.8 -2.2 -0.8

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.7 129.9 125.1 127.0 1.9 1.5

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 67.6 66.1 65.6 -0.5 -0.8

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 456.9 457.4 441.4 446.4 5.0 1.1

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 69.3 67.6 68.3 0.7 1.0

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.8 150.1 144.6 146.0 1.4 1.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.0 788.9 770.2 780.1 9.9 1.3

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,230.9 3,269.8 3,162.6 3,217.4 54.8 1.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,359.5 8,581.4 8,236.3 8,498.5 262.2 3.2

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.9 264.6 256.4 261.0 4.6 1.8

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.2 110.1 105.2 108.3 3.1 2.9

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.6 199.2 191.1 198.6 7.5 3.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.1 143.2 137.5 143.0 5.5 4.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 33.5 33.1 33.1 0.0 0.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663.5 682.6 651.2 669.5 18.3 2.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.3 220.9 210.1 218.4 8.3 4.0

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,594.0 2,651.4 2,552.7 2,624.0 71.3 2.8

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.8 145.8 143.3 145.8 2.5 1.7

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293.2 303.4 290.0 302.3 12.3 4.2

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.8 104.2 98.4 102.7 4.3 4.4

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,196.5 1,236.6 1,178.4 1,233.0 54.6 4.6

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.7 214.5 203.9 211.8 7.9 3.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.9 82.7 80.9 81.7 0.8 1.0

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169.2 174.9 168.0 172.6 4.6 2.7

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 147.2 141.1 145.9 4.8 3.4

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.6 49.2 46.9 48.7 1.8 3.8

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.5 52.5 49.9 51.9 2.0 4.0

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.9 27.3 25.5 26.8 1.3 5.1

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.3 182.4 173.4 179.5 6.1 3.5

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,288.2 1,328.7 1,270.6 1,308.8 38.2 3.0

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 27.9 27.0 28.1 1.1 4.1

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,356.6 4,462.9 4,277.4 4,396.1 118.7 2.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.5 60.9 62.9 2.0 3.3

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.6 93.9 92.1 93.7 1.6 1.7

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,645.5 2,735.8 2,602.0 2,698.8 96.8 3.7

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.7 239.1 229.6 235.3 5.7 2.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 43.8 42.0 42.8 0.8 1.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.7 122.3 119.9 120.3 0.4 0.3

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 69.8 69.1 69.7 0.6 0.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.6 88.7 84.6 87.5 2.9 3.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.6 20.3 19.4 19.9 0.5 2.6

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 104.0 101.1 102.0 0.9 0.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.3 39.8 40.9 1.1 2.8

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.1 178.0 171.2 177.0 5.8 3.4

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.3 56.6 55.1 55.7 0.6 1.1

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.1 73.6 70.8 72.8 2.0 2.8

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 655.8 659.6 637.8 644.8 7.0 1.1

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 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 75.7 73.9 74.9 1.0 1.4

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 483.2 486.3 467.7 472.5 4.8 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.0 707.2 667.5 693.1 25.6 3.8

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299.4 313.2 294.1 306.9 12.8 4.4

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 61.0 57.8 59.0 1.2 2.1

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 64.0 61.3 63.2 1.9 3.1

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.5 29.0 27.0 27.9 0.9 3.3

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.9 36.5 34.0 34.5 0.5 1.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,052.6 6,053.6 5,881.0 5,892.3 11.3 0.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.8 93.4 92.7 90.5 -2.2 -2.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 58.3 55.9 55.6 -0.3 -0.5

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 110.3 106.5 107.2 0.7 0.7

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,674.1 4,683.8 4,542.4 4,565.0 22.6 0.5

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 28.7 28.6 28.4 -0.2 -0.7

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.0 184.1 179.9 180.7 0.8 0.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 51.8 50.8 50.5 -0.3 -0.6

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.5 43.6 43.6 0.0 0.0

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.5 174.8 174.0 169.3 -4.7 -2.7

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.1 152.8 148.7 145.0 -3.7 -2.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.3 116.7 112.0 114.2 2.2 2.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,097.5 3,118.6 3,008.5 3,048.3 39.8 1.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 77.9 74.5 76.0 1.5 2.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 53.3 51.4 52.8 1.4 2.7

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.9 133.5 128.2 130.8 2.6 2.0

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.7 159.7 155.2 156.6 1.4 0.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.7 222.4 213.7 218.1 4.4 2.1

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,045.4 1,064.6 1,014.7 1,040.6 25.9 2.6

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.2 42.7 40.8 41.6 0.8 2.0

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.8 104.2 101.4 103.5 2.1 2.1

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 41.7 40.8 40.2 -0.6 -1.5

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 52.5 49.0 50.9 1.9 3.9

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 144.4 138.8 138.9 0.1 0.1

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 72.2 69.0 69.9 0.9 1.3

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,575.1 1,576.7 1,534.7 1,548.6 13.9 0.9

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.9 54.3 51.8 52.6 0.8 1.5

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.0 144.8 141.7 142.3 0.6 0.4

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354.9 361.6 348.1 355.1 7.0 2.0

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 60.7 58.8 59.5 0.7 1.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.5 101.7 97.7 101.1 3.4 3.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.2 88.3 87.6 86.4 -1.2 -1.4

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.4 92.0 89.3 88.5 -0.8 -0.9

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,422.7 1,418.3 1,387.3 1,385.2 -2.1 -0.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 55.4 52.0 52.6 0.6 1.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 45.4 41.6 42.2 0.6 1.4

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.8 113.8 109.4 113.0 3.6 3.3

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298.8 298.8 294.7 292.6 -2.1 -0.7

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,929.3 1,952.4 1,874.7 1,905.9 31.2 1.7

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.6 77.3 72.1 74.8 2.7 3.7

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.4 56.4 56.6 0.2 0.4

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.7 284.1 270.3 274.1 3.8 1.4

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660.8 679.0 644.0 661.8 17.8 2.8

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 53.6 52.5 53.2 0.7 1.3

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,002.7 1,980.1 1,965.5 1,952.5 -13.0 -0.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.1 63.3 63.5 62.7 -0.8 -1.3

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.6 404.5 400.1 402.6 2.5 0.6

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.3 43.7 44.5 0.8 1.8

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.0 87.0 91.8 85.2 -6.6 -7.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.8 199.3 205.5 196.7 -8.8 -4.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2 110.9 105.1 110.7 5.6 5.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.7 79.9 78.3 78.7 0.4 0.5

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 583.4 580.4 573.0 572.2 -0.8 -0.1

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.5 180.9 181.7 178.6 -3.1 -1.7

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613.0 615.5 593.6 599.6 6.0 1.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 67.0 64.8 64.6 -0.2 -0.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 51.6 49.8 51.3 1.5 3.0

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.7 201.8 193.8 197.5 3.7 1.9

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,720.3 2,745.0 2,636.7 2,670.1 33.4 1.3

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,407.2 1,411.5 1,363.8 1,378.2 14.4 1.1

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.4 45.0 44.8 -0.2 -0.4

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 39.6 38.1 38.2 0.1 0.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.2 110.4 104.7 106.4 1.7 1.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,559.6 3,602.0 3,452.5 3,515.9 63.4 1.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.2 101.5 94.2 97.7 3.5 3.7

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,705.5 2,741.4 2,631.8 2,690.9 59.1 2.2

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.1 50.4 51.2 0.8 1.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 69.0 65.9 67.4 1.5 2.3

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 41.5 40.4 40.7 0.3 0.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335.1 338.7 323.6 326.6 3.0 0.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.2 286.0 275.8 278.8 3.0 1.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,307.9 4,379.6 4,215.0 4,302.3 87.3 2.1

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.6 222.4 210.9 215.2 4.3 2.0

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 59.7 57.8 58.4 0.6 1.0

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.1 36.7 35.6 35.9 0.3 0.8

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,966.7 1,999.9 1,931.7 1,965.7 34.0 1.8

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.0 141.3 137.1 137.6 0.5 0.4

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541.6 552.5 531.5 546.7 15.2 2.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 57.6 56.7 56.2 -0.5 -0.9

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.6 149.2 142.4 146.6 4.2 2.9

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230.2 235.2 225.2 231.8 6.6 2.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 37.7 36.9 36.7 -0.2 -0.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.7 42.3 41.9 41.3 -0.6 -1.4

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 62.8 62.5 62.0 -0.5 -0.8

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 61.3 59.5 60.2 0.7 1.2

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 89.9 87.3 87.1 -0.2 -0.2

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,882.3 2,915.0 2,818.7 2,853.7 35.0 1.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.4 135.5 132.7 132.8 0.1 0.1

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 57.8 57.1 56.9 -0.2 -0.4

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,950.1 1,972.4 1,908.5 1,936.2 27.7 1.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 119.1 116.2 117.1 0.9 0.8

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.0 109.3 105.2 106.9 1.7 1.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,152.1 1,147.9 1,133.5 1,133.0 -0.5 0.0

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.2 154.5 153.0 152.2 -0.8 -0.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 64.4 63.0 63.9 0.9 1.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.4 281.9 276.0 278.8 2.8 1.0

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,839.0 2,881.0 2,768.2 2,823.0 54.8 2.0

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 44.8 43.6 43.8 0.2 0.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.3 101.4 95.6 96.9 1.3 1.4

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.4 77.3 75.5 76.6 1.1 1.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.0 81.1 81.2 80.5 -0.7 -0.9

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.8 1,083.7 1,040.9 1,066.8 25.9 2.5

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 64.4 62.3 63.0 0.7 1.1

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,368.5 1,374.2 1,330.6 1,349.5 18.9 1.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.4 214.7 205.0 210.2 5.2 2.5

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465.0 468.1 451.5 459.2 7.7 1.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.2 85.3 82.4 83.8 1.4 1.7

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 36.1 35.2 35.4 0.2 0.6

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 60.3 57.5 58.0 0.5 0.9

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,020.1 1,026.8 992.3 1,003.3 11.0 1.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.7 41.3 42.1 0.8 1.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.1 191.0 184.2 186.9 2.7 1.5

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 500.3 504.1 485.8 490.8 5.0 1.0

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,288.9 1,325.9 1,264.2 1,305.0 40.8 3.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.7 28.0 28.1 0.1 0.4

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 941.5 968.9 926.1 957.5 31.4 3.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218.7 227.4 211.9 220.6 8.7 4.1

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.6 678.9 652.0 667.2 15.2 2.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 55.7 50.8 52.2 1.4 2.8

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.2 111.4 109.2 108.7 -0.5 -0.5

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.4 91.1 86.8 88.3 1.5 1.7

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,093.3 4,141.2 3,957.6 4,018.4 60.8 1.5

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.1 129.5 123.6 124.7 1.1 0.9

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 36.7 32.6 33.6 1.0 3.1

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.3 272.1 258.9 264.6 5.7 2.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 60.7 57.4 58.9 1.5 2.6

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 833.8 840.9 820.6 821.5 0.9 0.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387.4 393.0 380.7 384.5 3.8 1.0

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 48.6 49.8 48.0 -1.8 -3.6

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 74.1 70.1 70.9 0.8 1.1

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 63.8 62.1 62.6 0.5 0.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,465.0 9,542.2 9,143.2 9,275.4 132.2 1.4

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 463.4 470.3 450.5 456.4 5.9 1.3

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.0 105.4 100.6 101.1 0.5 0.5

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 566.9 572.3 545.6 554.6 9.0 1.6

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 38.2 36.9 37.2 0.3 0.8

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 55.3 52.5 53.7 1.2 2.3

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 65.6 60.1 63.4 3.3 5.5

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.7 59.5 60.9 1.4 2.4

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,587.5 9,697.0 9,272.4 9,430.4 158.0 1.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.3 539.3 522.0 519.4 -2.6 -0.5

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320.1 320.5 307.9 311.4 3.5 1.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.6 127.8 122.5 124.4 1.9 1.6

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 42.3 40.8 41.2 0.4 1.0

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,330.3 4,410.8 4,240.1 4,317.8 77.7 1.8

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.7 189.4 182.8 186.0 3.2 1.8

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 62.3 59.5 60.5 1.0 1.7

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,143.2 1,178.3 1,120.6 1,156.5 35.9 3.2

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302.9 310.4 295.8 302.7 6.9 2.3

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.9 131.5 129.0 129.5 0.5 0.4

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 41.8 41.9 41.2 -0.7 -1.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.2 364.4 352.8 355.9 3.1 0.9

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 80.1 77.7 78.3 0.6 0.8

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.0 152.6 148.2 150.9 2.7 1.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 49.3 48.5 48.0 -0.5 -1.0

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.2 43.8 44.5 0.7 1.6

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.9 614.5 585.8 602.5 16.7 2.9

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 58.8 56.2 55.5 -0.7 -1.2

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.1 124.1 118.7 122.2 3.5 2.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.8 264.0 257.9 259.4 1.5 0.6

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445.9 435.2 428.2 426.6 -1.6 -0.4

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.9 73.7 72.8 72.4 -0.4 -0.5

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.9 143.4 136.3 139.7 3.4 2.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 59.2 56.4 58.0 1.6 2.8

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,498.8 5,515.8 5,353.6 5,375.2 21.6 0.4

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.9 343.7 333.1 332.3 -0.8 -0.2

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.6 173.1 169.0 169.9 0.9 0.5

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,078.5 1,097.6 1,051.6 1,071.2 19.6 1.9

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,056.3 1,060.8 1,032.3 1,033.0 0.7 0.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,061.2 1,086.3 1,036.8 1,057.1 20.3 2.0

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.1 389.0 377.4 379.5 2.1 0.6

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.2 51.7 52.1 0.4 0.8

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 53.3 51.8 51.4 -0.4 -0.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 49.9 49.3 48.7 -0.6 -1.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.9 315.5 304.1 308.5 4.4 1.4

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 41.4 41.3 39.9 -1.4 -3.4

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.6 225.0 219.8 219.4 -0.4 -0.2

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,678.9 1,661.9 1,642.4 1,632.2 -10.2 -0.6

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2 28.1 27.3 27.4 0.1 0.4

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.1 45.2 45.0 -0.2 -0.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.1 633.3 622.2 618.5 -3.7 -0.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452.6 445.1 442.4 439.5 -2.9 -0.7

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,817.3 1,856.1 1,782.4 1,820.9 38.5 2.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 44.2 42.7 43.7 1.0 2.3

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.5 78.8 74.5 77.4 2.9 3.9

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 42.5 41.1 41.5 0.4 1.0

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.2 159.3 153.1 156.3 3.2 2.1

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24.8 25.8 24.5 25.8 1.3 5.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.6 87.0 82.1 84.5 2.4 2.9

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,136.8 1,160.0 1,117.8 1,137.9 20.1 1.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.1 162.6 155.4 159.9 4.5 2.9

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,912.6 5,958.5 5,753.9 5,810.7 56.8 1.0

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367.9 364.3 356.5 355.8 -0.7 -0.2

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 60.9 60.2 59.9 -0.3 -0.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 42.4 41.5 42.0 0.5 1.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 60.4 59.9 59.3 -0.6 -1.0

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 57.8 56.5 57.4 0.9 1.6

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.9 128.5 126.5 125.3 -1.2 -0.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 34.7 33.9 34.5 0.6 1.8

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.1 341.3 330.1 335.1 5.0 1.5

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 55.9 55.2 54.3 -0.9 -1.6

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.9 252.1 243.2 247.0 3.8 1.6

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.6 52.4 50.0 51.0 1.0 2.0

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,879.3 2,933.6 2,797.4 2,864.5 67.1 2.4

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,169.6 1,172.0 1,140.1 1,144.6 4.5 0.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.0 179.8 174.4 175.8 1.4 0.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.2 263.3 255.6 255.6 0.0 0.0

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 79.1 73.6 73.9 0.3 0.4

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 53.5 53.4 52.5 -0.9 -1.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.0 185.6 181.0 182.8 1.8 1.0

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492.8 493.4 474.8 479.1 4.3 0.9

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 587.2 586.9 566.9 570.1 3.2 0.6

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,046.1 2,081.4 1,997.0 2,038.6 41.6 2.1

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.6 352.6 335.6 346.0 10.4 3.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.4 398.0 386.4 391.1 4.7 1.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 88.8 85.6 87.1 1.5 1.8

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.7 416.7 401.3 405.8 4.5 1.1

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.6 75.8 73.0 74.4 1.4 1.9

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.8 154.0 147.1 151.3 4.2 2.9

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.1 150.6 143.1 147.6 4.5 3.1

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.4 38.5 39.0 0.5 1.3

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430.1 433.2 418.1 423.3 5.2 1.2

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.6 66.3 63.8 64.9 1.1 1.7

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.8 154.2 148.2 151.1 2.9 2.0

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,974.2 3,027.1 2,898.0 2,952.6 54.6 1.9

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.7 256.9 245.9 252.6 6.7 2.7

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.3 90.3 88.1 88.7 0.6 0.7

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 53.0 47.0 48.1 1.1 2.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 69.3 66.2 67.3 1.1 1.7

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 80.6 77.7 78.5 0.8 1.0

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.4 123.4 119.9 120.4 0.5 0.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.3 396.7 383.6 388.7 5.1 1.3

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 650.5 653.7 628.8 633.8 5.0 0.8

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.6 44.4 45.0 0.6 1.4

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 945.0 976.3 923.2 957.5 34.3 3.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,038.8 12,224.9 11,839.4 12,072.7 233.3 2.0

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 68.5 67.5 67.3 -0.2 -0.3

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.8 122.0 119.0 120.8 1.8 1.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 986.6 1,018.8 974.8 1,008.8 34.0 3.5

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.7 164.2 164.2 162.9 -1.3 -0.8

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.7 143.4 139.9 142.2 2.3 1.6

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.8 116.3 112.4 115.5 3.1 2.8

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.3 192.2 188.7 189.1 0.4 0.2

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,473.1 3,593.6 3,422.8 3,558.2 135.4 4.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.8 316.3 304.2 312.3 8.1 2.7

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,017.3 3,036.0 2,976.8 2,986.1 9.3 0.3

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.5 147.3 141.0 145.7 4.7 3.3

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.4 104.7 100.7 103.3 2.6 2.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.5 97.3 97.3 95.9 -1.4 -1.4

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.4 147.4 142.0 145.8 3.8 2.7

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.3 258.1 249.7 254.5 4.8 1.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.8 87.5 89.3 87.1 -2.2 -2.5

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.5 70.1 71.5 69.4 -2.1 -2.9

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 49.2 48.8 48.1 -0.7 -1.4

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,006.3 1,034.3 994.3 1,019.9 25.6 2.6

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 46.8 45.2 46.4 1.2 2.7

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 61.1 60.1 59.7 -0.4 -0.7

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 106.8 102.0 104.2 2.2 2.2

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.5 42.4 42.5 41.7 -0.8 -1.9

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.2 120.6 116.3 118.7 2.4 2.1

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 57.6 57.6 57.2 -0.4 -0.7

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,416.0 1,458.8 1,388.0 1,431.8 43.8 3.2

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.6 61.5 58.7 59.8 1.1 1.9

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.3 250.5 238.6 248.0 9.4 3.9

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.8 245.5 230.9 240.5 9.6 4.2

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.7 62.0 57.6 60.6 3.0 5.2

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 695.6 719.5 682.5 704.5 22.0 3.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.4 320.3 310.3 314.0 3.7 1.2

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.7 125.6 122.7 123.0 0.3 0.2

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,930.4 3,953.8 3,835.9 3,887.7 51.8 1.4

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.5 79.5 73.3 73.8 0.5 0.7

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.3 116.4 110.1 112.9 2.8 2.5

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 68.7 65.5 67.6 2.1 3.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.0 105.3 102.6 102.7 0.1 0.1

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.1 669.7 653.1 658.0 4.9 0.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.7 164.4 159.6 161.8 2.2 1.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 50.9 49.2 50.3 1.1 2.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 775.4 772.2 755.6 760.1 4.5 0.6

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 62.6 60.8 61.8 1.0 1.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,189.4 3,285.9 3,151.5 3,235.9 84.4 2.7

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

December January

Change from

January 2016 to January

2017p

2015 2016 2016 2017p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.8 92.3 89.2 90.3 1.1 1.2

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.2 89.2 88.0 87.9 -0.1 -0.1

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.2 111.1 106.1 108.5 2.4 2.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 38.9 38.2 38.5 0.3 0.8

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 49.2 47.7 48.5 0.8 1.7

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.2 115.0 109.7 113.7 4.0 3.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,922.6 1,980.5 1,898.5 1,958.4 59.9 3.2

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.0 242.4 233.2 238.4 5.2 2.2

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 28.2 26.6 27.6 1.0 3.8

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 44.3 42.2 42.9 0.7 1.7

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.3 84.6 80.2 83.5 3.3 4.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 764.3 753.6 735.9 731.1 -4.8 -0.7

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 44.8 44.9 43.8 -1.1 -2.4

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.1 119.2 118.0 116.6 -1.4 -1.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.8 139.5 134.8 136.3 1.5 1.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.9 72.0 69.3 68.1 -1.2 -1.7

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.1 40.4 39.8 -0.6 -1.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 66.9 65.4 64.6 -0.8 -1.2

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,928.9 2,935.2 2,847.9 2,868.8 20.9 0.7

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.8 126.3 122.1 124.5 2.4 2.0

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 85.7 82.8 82.7 -0.1 -0.1

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.9 48.8 46.5 47.4 0.9 1.9

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.7 174.5 170.9 171.3 0.4 0.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.8 66.1 66.6 0.5 0.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 79.6 75.5 76.9 1.4 1.9

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399.0 400.8 387.0 393.6 6.6 1.7

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 867.1 859.7 845.7 843.9 -1.8 -0.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.4 97.0 94.7 95.8 1.1 1.2

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.1 77.2 75.9 75.8 -0.1 -0.1

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 62.1 59.4 60.8 1.4 2.4

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.1 73.6 70.7 71.9 1.2 1.7

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.8 274.5 278.3 269.0 -9.3 -3.3

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 37.4 39.9 36.1 -3.8 -9.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 46.0 45.5 45.4 -0.1 -0.2

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931.9 914.6 887.9 881.4 -6.5 -0.7

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.3 50.7 51.3 0.6 1.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.1 34.6 33.8 33.1 -0.7 -2.1

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.8 15.7 15.0 15.4 0.4 2.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.3 34.9 33.5 33.6 0.1 0.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 73.2 71.4 70.4 -1.0 -1.4

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.7 21.8 19.8 21.1 1.3 6.6

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676.4 662.3 643.0 637.5 -5.5 -0.9

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.4 38.1 38.2 0.1 0.3

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

the first principal city.

2 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 2016 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 2016 to January 2017p

2015 2016 2016 2017p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,454.9 16,763.5 16,158.1 16,456.0 297.9 1.8

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,976.5 6,064.6 5,878.4 5,957.8 79.4 1.4

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,582.3 1,600.4 1,555.5 1,572.3 16.8 1.1

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,394.2 4,464.2 4,322.9 4,385.5 62.6 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,319.1 2,392.9 2,286.2 2,344.4 58.2 2.5

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,125.9 1,159.1 1,108.5 1,138.4 29.9 2.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,079.5 1,117.0 1,066.0 1,091.3 25.3 2.4

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.7 116.8 111.7 114.7 3.0 2.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.0 788.9 770.2 780.1 9.9 1.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,230.9 3,269.8 3,162.6 3,217.4 54.8 1.7

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596.8 601.9 582.4 591.2 8.8 1.5

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,634.1 2,667.9 2,580.2 2,626.2 46.0 1.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,359.5 8,581.4 8,236.3 8,498.5 262.2 3.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,594.0 2,651.4 2,552.7 2,624.0 71.3 2.8

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 823.6 840.4 809.5 832.3 22.8 2.8

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,162.8 1,185.6 1,142.5 1,174.3 31.8 2.8

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 607.6 625.4 600.7 617.4 16.7 2.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,052.6 6,053.6 5,881.0 5,892.3 11.3 0.2

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,674.1 4,683.8 4,542.4 4,565.0 22.6 0.5

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,723.6 3,741.3 3,629.5 3,645.1 15.6 0.4

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.3 253.7 244.6 245.9 1.3 0.5

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.7 281.6 268.1 277.5 9.4 3.5

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.5 407.2 400.2 396.5 -3.7 -0.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,559.6 3,602.0 3,452.5 3,515.9 63.4 1.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,705.5 2,741.4 2,631.8 2,690.9 59.1 2.2

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,814.5 1,845.1 1,765.8 1,812.5 46.7 2.6

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.1 82.8 77.7 79.2 1.5 1.9

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.5 174.3 171.3 172.5 1.2 0.7

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.0 66.4 64.0 65.4 1.4 2.2

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.8 83.1 81.2 81.0 -0.2 -0.2

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.4 155.6 150.2 154.0 3.8 2.5

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.5 44.8 44.6 -0.2 -0.4

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.4 130.3 125.6 128.6 3.0 2.4

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.8 98.6 93.3 94.5 1.2 1.3

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 59.7 57.9 58.6 0.7 1.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,307.9 4,379.6 4,215.0 4,302.3 87.3 2.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,966.7 1,999.9 1,931.7 1,965.7 34.0 1.8

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 746.5 756.1 733.4 746.9 13.5 1.8

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,220.2 1,243.8 1,198.3 1,218.8 20.5 1.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,465.0 9,542.2 9,143.2 9,275.4 132.2 1.4

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,587.5 9,697.0 9,272.4 9,430.4 158.0 1.7

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.6 145.5 140.4 138.3 -2.1 -1.5

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,335.1 1,352.2 1,278.8 1,306.7 27.9 2.2

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,204.9 1,203.1 1,169.2 1,177.8 8.6 0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,899.9 6,996.2 6,684.0 6,807.6 123.6 1.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,912.6 5,958.5 5,753.9 5,810.7 56.8 1.0

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,879.3 2,933.6 2,797.4 2,864.5 67.1 2.4

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 531.8 544.7 516.4 534.0 17.6 3.4

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,049.9 1,067.2 1,022.3 1,041.3 19.0 1.9

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 932.3 958.1 906.8 935.3 28.5 3.1

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365.3 363.6 351.9 353.9 2.0 0.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,038.8 12,224.9 11,839.4 12,072.7 233.3 2.0

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,473.1 3,593.6 3,422.8 3,558.2 135.4 4.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,463.1 2,566.5 2,435.3 2,540.9 105.6 4.3

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,010.0 1,027.1 987.5 1,017.3 29.8 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,189.4 3,285.9 3,151.5 3,235.9 84.4 2.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,922.6 1,980.5 1,898.5 1,958.4 59.9 3.2

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,620.9 1,669.5 1,602.1 1,652.0 49.9 3.1

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.7 311.0 296.4 306.4 10.0 3.4

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 2016 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 are 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, N.J., are totally outside

the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va., 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 2017

(U.S. rate = 5.1 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 2017

(U.S. average = 1.5 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.