For release 10:00 a.m. (EDT) Wednesday, November 1, 2017 USDL-17-1446 

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 — SEPTEMBER 2017 

Unemployment rates were lower in September than a year earlier in 345 of the 388 metropolitan areas, 

higher in 33 areas, and unchanged in 10 areas, the U.S. Bureau of Labor Statistics reported today. Sixtyfour areas had jobless rates of less than 3.0 percent and two areas had rates of at least 10.0 percent. 

Nonfarm payroll employment increased over the year in 309 metropolitan areas, decreased in 72 areas, 

and was unchanged in 7 areas. The national unemployment rate in September was 4.1 percent, not 

seasonally adjusted, down from 4.8 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In September, Fargo, ND-MN, had the lowest unemployment rate, 1.8 percent, closely followed by 

Bismarck, ND; Boulder, CO; and Fort Collins, CO, 1.9 percent each. El Centro, CA, and Yuma, AZ, 

had the highest unemployment rates, 22.6 percent and 19.9 percent, respectively. A total of 210 areas 

had September jobless rates below the U.S. rate of 4.1 percent, 168 areas had rates above it, and 10 areas 

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

Hurricanes Harvey, Irma, and Maria 

Hurricane Harvey made landfall in Texas prior to the September 2017 reference period for both the 

establishment and household surveys. Hurricane Irma made landfall in Florida during the reference 

period for both surveys. However, for both surveys, data collection rates generally were within normal 

ranges, both nationally and in the affected states. Therefore, no changes were made to the estimation 

procedures for September. 

In the establishment survey, employees who are not paid for the pay period that includes the 12th of the 

month are not counted as employed. In the household survey, persons with a job are counted as 

employed even if they miss work for the entire survey reference week (the week including the 12th of 

the month), regardless of whether or not they are paid. For a general discussion of how unusually severe 

weather can affect the estimates, see the Frequently Asked Questions section of the Employment 

Situation news release at www.bls.gov/news.release/empsit.faq.htm. 
-2-

Due to Hurricanes Irma and Maria, Puerto Rico was not able to conduct normal data collection for either 

its household or establishment surveys for September. Likewise, the U.S. Virgin Islands was not able to 

administer its establishment survey for September. National estimates do not include Puerto Rico or the 

U.S. Virgin Islands. 

More information on the effects of the recent hurricanes on BLS data collection and reporting can be 

found at www.bls.gov/bls/hurricanes-harvey-irma-maria.htm. 

Mobile, AL, had the largest over-the-year unemployment rate decrease in September (-3.1 percentage 

points). An additional 129 areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Monroe, MI (+1.3 percentage points). 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Denver-AuroraLakewood, CO, had the lowest unemployment rate in September, 2.2 percent. Cleveland-Elyria, OH, 

had the highest jobless rate among the large areas, 5.7 percent. Forty-eight large areas had over-the-year 

unemployment rate decreases and three had increases. The largest rate decrease occurred in 

Birmingham-Hoover, AL (-2.8 percentage points). The largest over-the-year rate increase was in 

Cleveland-Elyria, OH (+0.4 percentage point). 

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

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

essentially separately identifiable employment centers. In September, San Francisco-Redwood CitySouth San Francisco, CA, had the lowest unemployment rate among the divisions, 2.8 percent. DetroitDearborn-Livonia, MI, had the highest division rate, 5.6 percent. (See table 2.) 

In September, 25 metropolitan divisions had over-the-year unemployment rate decreases, 7 had 

increases, and 6 had no change. The largest rate decline occurred in West Palm Beach-Boca RatonDelray Beach, FL (-1.6 percentage points). No division had an over-the-year jobless rate increase greater 

than 0.2 percentage point. 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In September, 309 metropolitan areas had over-the-year increases in nonfarm payroll employment, 72 

had decreases, and 7 had no change. The largest over-the-year employment increases occurred in DallasFort Worth-Arlington, TX (+93,600), New York-Newark-Jersey City, NY-NJ-PA (+86,000), and 

Atlanta-Sandy Springs-Roswell, GA (+68,300). The largest over-the-year percentage gains in 

employment occurred in Ocean City, NJ (+5.4 percent), and Daphne-Fairhope-Foley, AL, and St. 

George, UT (+5.3 percent each). (See table 3 and map 2.) 

The largest over-the-year decrease in employment occurred in Virginia Beach-Norfolk-Newport News, 

VA-NC (-9,700), followed by Cape Coral-Fort Myers, FL (-6,800), and Youngstown-WarrenBoardman, OH-PA (-4,600). The largest over-the-year percentage decrease in employment occurred in 

Cape Girardeau, MO-IL (-6.1 percent), followed by Cape Coral-Fort Myers, FL (-2.7 percent), and 

Houma-Thibodaux, LA (-2.6 percent). 
-3-

Over the year, nonfarm employment rose in 47 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more and fell in 4. The largest over-the-year percentage increases in 

employment in these large metropolitan areas occurred in Nashville-Davidson—Murfreesboro—

Franklin, TN (+3.1 percent), Raleigh, NC (+2.9 percent), and Dallas-Fort Worth-Arlington, TX (+2.7 

percent). The over-the-year percentage decreases occurred in Virginia Beach-Norfolk-Newport News, 

VA-NC (-1.2 percent), Buffalo-Cheektowaga-Niagara Falls, NY, and Rochester, NY (-0.6 percent each), 

and Hartford-West Hartford-East Hartford, CT (-0.1 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

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

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

occurred in New York-Jersey City-White Plains, NY-NJ (+77,900), followed by Dallas-Plano-Irving, 

TX (+67,100), and Los Angeles-Long Beach-Glendale, CA (+50,800). The largest over-the-year 

decreases occurred in Gary, IN (-3,100), Elgin, IL (-1,900), and Newark, NJ-PA (-1,200). (See table 4.) 

The largest over-the-year percentage increases occurred in Haverhill-Newburyport-Amesbury Town, 

MA-NH (+2.8 percent), Dallas-Plano-Irving, TX (+2.7 percent), and Boston-Cambridge-Newton, MA, 

and Fort Worth-Arlington, TX (+2.6 percent each). The largest over-the-year percentage decreases 

occurred in Gary, IN (-1.1 percent), and Elgin, IL (-0.7 percent). 

_____________ 

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

on Friday, November 17, 2017, at 10:00 a.m. (EST). The Metropolitan Area Employment and 

Unemployment news release for October is scheduled to be released on Thursday, November 30, 

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

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,168,460 2,162,979 2,176,728 2,170,209 134,754 92,424 134,032 72,631 6.2 4.3 6.2 3.3

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,787 45,305 45,596 44,917 3,123 2,197 3,087 1,726 6.8 4.8 6.8 3.8

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,352 73,840 73,617 74,420 4,018 2,839 3,865 2,146 5.5 3.8 5.3 2.9

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 535,382 532,348 535,069 531,444 31,321 20,829 31,451 16,319 5.9 3.9 5.9 3.1

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 91,338 92,250 90,394 92,823 4,952 3,469 4,969 2,759 5.4 3.8 5.5 3.0

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,802 68,598 68,868 68,935 4,121 2,818 4,166 2,234 6.0 4.1 6.0 3.2

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,852 62,158 63,012 62,746 3,877 2,642 3,828 2,119 6.2 4.3 6.1 3.4

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,716 65,969 66,972 66,109 4,523 3,051 4,442 2,390 6.8 4.6 6.6 3.6

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,538 43,752 43,668 43,891 2,723 1,883 2,731 1,497 6.3 4.3 6.3 3.4

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,978 216,011 214,081 217,351 11,531 8,043 11,431 6,373 5.4 3.7 5.3 2.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,688 180,900 184,671 180,998 13,070 9,324 13,180 7,322 7.1 5.2 7.1 4.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 170,887 169,855 170,779 169,006 10,207 7,027 10,077 5,580 6.0 4.1 5.9 3.3

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 112,726 113,582 113,596 114,874 7,127 4,715 6,864 3,569 6.3 4.2 6.0 3.1

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366,325 369,931 360,761 362,917 21,301 23,408 21,892 23,937 5.8 6.3 6.1 6.6

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 198,924 202,047 200,367 202,781 10,879 12,154 11,343 12,699 5.5 6.0 5.7 6.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,829 47,160 46,609 46,639 2,250 2,586 2,482 2,710 4.8 5.5 5.3 5.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,243,683 3,305,023 3,263,107 3,340,182 186,548 169,533 175,080 156,330 5.8 5.1 5.4 4.7

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,060 75,660 76,508 77,635 4,647 3,836 4,253 3,403 6.2 5.1 5.6 4.4

Lake Havasu City-Kingman. . . . . . . . . . . . 81,323 82,737 80,608 82,611 5,454 4,770 5,210 4,461 6.7 5.8 6.5 5.4

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,242,331 2,294,063 2,256,250 2,317,339 108,752 98,081 104,352 92,068 4.8 4.3 4.6 4.0

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,420 101,494 100,890 102,285 5,010 4,495 4,952 4,253 5.0 4.4 4.9 4.2

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,229 50,793 50,196 52,180 3,134 2,782 3,018 2,673 6.2 5.5 6.0 5.1

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466,964 469,433 476,605 478,362 24,386 21,386 23,624 20,198 5.2 4.6 5.0 4.2

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,285 101,461 93,887 99,489 23,495 24,057 18,909 19,843 23.9 23.7 20.1 19.9

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,345,036 1,372,881 1,345,513 1,375,186 52,969 48,625 52,163 46,565 3.9 3.5 3.9 3.4

Fayetteville-Springdale-Rogers. . . . . . . . . 265,220 278,166 266,473 277,923 7,551 7,518 7,637 7,199 2.8 2.7 2.9 2.6

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,797 122,135 121,639 122,844 5,668 5,204 5,581 4,939 4.7 4.3 4.6 4.0

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,510 41,848 39,846 41,154 1,692 1,575 1,703 1,544 4.2 3.8 4.3 3.8

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,678 64,584 62,628 64,439 2,110 2,054 2,049 1,888 3.4 3.2 3.3 2.9

Little Rock-North Little Rock-Conway. . . . 353,122 359,928 350,114 358,901 12,354 11,381 12,409 11,099 3.5 3.2 3.5 3.1

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,052 36,031 36,062 35,995 2,059 1,745 1,902 1,633 5.7 4.8 5.3 4.5

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,178,340 19,294,073 19,186,046 19,450,352 1,069,094 1,043,156 1,004,338 917,296 5.6 5.4 5.2 4.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 390,645 391,008 390,532 392,080 37,954 36,505 35,552 31,948 9.7 9.3 9.1 8.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,826 103,636 103,521 104,879 6,636 6,498 6,028 5,496 6.5 6.3 5.8 5.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,885 79,283 77,963 76,093 21,141 22,075 19,969 17,175 27.1 27.8 25.6 22.6

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449,520 448,673 447,872 451,356 38,120 37,963 36,223 34,034 8.5 8.5 8.1 7.5

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,499 57,358 56,902 57,527 5,055 4,853 4,677 4,304 8.8 8.5 8.2 7.5

Los Angeles-Long Beach-Anaheim. . . . . 6,660,764 6,741,318 6,679,796 6,809,825 353,009 346,307 332,444 309,787 5.3 5.1 5.0 4.5

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,755 62,666 62,470 63,387 5,054 4,832 4,644 4,200 8.2 7.7 7.4 6.6

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,727 115,020 117,235 117,682 10,413 10,291 9,408 8,812 9.0 8.9 8.0 7.5

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248,562 252,115 247,329 251,730 19,259 18,714 17,963 16,371 7.7 7.4 7.3 6.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,555 75,776 74,708 77,063 3,045 2,880 2,875 2,496 4.1 3.8 3.8 3.2

Oxnard-Thousand Oaks-Ventura. . . . . . . 423,158 427,335 424,308 432,675 23,854 22,494 22,717 20,201 5.6 5.3 5.4 4.7

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,266 76,371 75,103 76,601 4,917 4,576 4,634 4,074 6.5 6.0 6.2 5.3

Riverside-San Bernardino-Ontario. . . . . . 1,984,703 2,000,175 1,989,260 2,022,429 127,530 123,464 119,680 108,418 6.4 6.2 6.0 5.4

Sacramento--Roseville--Arden-Arcade. . . 1,080,210 1,082,808 1,077,066 1,089,370 57,526 55,432 54,249 48,710 5.3 5.1 5.0 4.5

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,248 225,289 226,184 227,614 12,548 12,434 11,571 10,781 5.5 5.5 5.1 4.7

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,577,590 1,577,391 1,574,823 1,586,220 77,773 74,073 72,945 64,838 4.9 4.7 4.6 4.1

San Francisco-Oakland-Hayward. . . . . . . 2,559,668 2,569,575 2,556,644 2,586,523 102,243 101,125 95,621 86,624 4.0 3.9 3.7 3.3

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,063,994 1,063,020 1,059,350 1,069,397 42,780 41,075 40,335 35,608 4.0 3.9 3.8 3.3

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,302 138,378 139,901 141,021 6,295 5,946 5,802 5,081 4.6 4.3 4.1 3.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 145,671 145,616 143,376 144,940 8,292 7,835 7,490 6,786 5.7 5.4 5.2 4.7

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,146 216,356 215,676 217,448 10,383 10,029 9,766 8,911 4.8 4.6 4.5 4.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,967 260,008 263,975 265,462 10,450 10,010 9,716 8,545 4.0 3.8 3.7 3.2

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 320,922 320,382 322,026 321,643 24,403 23,747 23,348 21,369 7.6 7.4 7.3 6.6

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,107 207,631 208,503 209,948 11,620 11,294 10,910 9,756 5.6 5.4 5.2 4.6

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 206,315 209,277 205,549 207,732 21,364 22,040 20,299 19,817 10.4 10.5 9.9 9.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,430 75,659 74,163 74,683 5,805 5,746 5,525 5,112 7.7 7.6 7.4 6.8

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,910,544 3,008,385 2,911,124 3,024,730 93,703 66,546 84,799 68,772 3.2 2.2 2.9 2.3

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,961 187,607 182,061 191,946 4,990 3,623 4,316 3,720 2.8 1.9 2.4 1.9

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 327,448 337,800 330,282 340,803 12,155 8,732 10,951 9,097 3.7 2.6 3.3 2.7

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,550,856 1,606,153 1,554,590 1,610,288 47,515 34,550 43,603 35,963 3.1 2.2 2.8 2.2

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 189,699 200,300 190,698 201,110 5,277 3,709 4,620 3,822 2.8 1.9 2.4 1.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 71,825 72,384 72,486 73,286 3,651 2,198 3,322 2,200 5.1 3.0 4.6 3.0

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149,802 156,460 150,093 158,337 5,089 3,256 4,476 3,302 3.4 2.1 3.0 2.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,334 74,067 73,315 75,286 3,438 2,641 3,174 2,640 4.8 3.6 4.3 3.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,907,030 1,919,400 1,883,920 1,896,089 98,951 87,292 86,819 76,340 5.2 4.5 4.6 4.0

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 472,802 475,092 463,937 466,259 23,696 21,153 21,073 18,709 5.0 4.5 4.5 4.0

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,254 109,243 106,421 107,304 4,627 4,049 3,940 3,455 4.3 3.7 3.7 3.2

Hartford-West Hartford-East Hartford. . . . 620,032 623,557 614,500 617,525 32,907 29,037 28,318 25,155 5.3 4.7 4.6 4.1

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 323,996 327,476 322,946 326,402 16,994 15,065 15,017 13,226 5.2 4.6 4.7 4.1

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 144,951 145,527 141,831 142,607 7,485 6,222 6,621 5,575 5.2 4.3 4.7 3.9

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,634 111,867 110,585 110,669 7,075 6,259 6,375 5,383 6.3 5.6 5.8 4.9

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,958 481,409 467,885 475,292 21,262 24,790 20,185 22,223 4.5 5.1 4.3 4.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,728 77,283 76,385 77,043 3,921 4,615 3,583 3,919 5.1 6.0 4.7 5.1

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 195,221 198,686 187,869 189,802 9,195 9,142 8,917 8,476 4.7 4.6 4.7 4.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . 391,268 397,156 390,933 399,120 24,968 26,206 24,088 28,053 6.4 6.6 6.2 7.0

Washington-Arlington-Alexandria. . . . . . . 3,317,964 3,407,227 3,316,842 3,402,900 132,301 127,168 130,231 122,338 4.0 3.7 3.9 3.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,867,355 10,129,925 9,946,538 10,184,523 509,388 431,261 508,834 366,862 5.2 4.3 5.1 3.6

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 324,295 326,371 328,583 324,897 15,947 13,275 16,047 11,431 4.9 4.1 4.9 3.5

Crestview-Fort Walton Beach-Destin. . . . 125,585 128,572 124,008 127,236 5,074 4,264 5,131 3,512 4.0 3.3 4.1 2.8

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,907 298,443 295,565 299,616 15,568 13,185 15,675 10,984 5.3 4.4 5.3 3.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 136,845 141,183 142,985 146,610 6,257 5,314 6,405 4,499 4.6 3.8 4.5 3.1

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,779 47,480 47,975 47,975 3,379 2,818 3,312 2,306 7.1 5.9 6.9 4.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 743,945 761,501 748,693 762,300 37,334 31,557 36,285 25,640 5.0 4.1 4.8 3.4

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 286,396 292,936 288,605 296,112 17,447 14,251 17,418 11,871 6.1 4.9 6.0 4.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,057,021 3,142,104 3,076,112 3,157,564 163,683 140,579 162,972 124,647 5.4 4.5 5.3 3.9

Naples-Immokalee-Marco Island. . . . . . . . 164,249 168,461 166,013 167,856 9,028 7,906 9,117 6,618 5.5 4.7 5.5 3.9

North Port-Sarasota-Bradenton. . . . . . . . . 349,026 365,616 352,109 365,654 16,743 14,304 17,101 11,917 4.8 3.9 4.9 3.3

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,694 135,740 134,469 137,628 8,144 6,661 8,129 5,518 6.1 4.9 6.0 4.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,266,207 1,306,959 1,275,889 1,319,016 59,663 50,076 59,613 41,866 4.7 3.8 4.7 3.2

Palm Bay-Melbourne-Titusville. . . . . . . . . 265,194 271,930 267,366 272,160 14,069 11,637 14,035 9,667 5.3 4.3 5.2 3.6

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 95,947 96,684 94,848 97,179 4,591 3,863 4,602 3,161 4.8 4.0 4.9 3.3

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 220,030 223,558 220,811 225,821 10,818 9,013 10,922 7,398 4.9 4.0 4.9 3.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 205,557 210,669 207,839 210,829 12,077 10,000 11,924 8,389 5.9 4.7 5.7 4.0

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 69,028 71,147 69,490 71,986 3,841 3,318 3,939 2,792 5.6 4.7 5.7 3.9

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 61,887 63,026 62,279 63,924 4,263 3,470 4,218 2,870 6.9 5.5 6.8 4.5

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,529 36,839 36,053 37,542 2,533 2,159 2,519 1,775 7.1 5.9 7.0 4.7

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 186,972 191,758 192,464 196,354 9,354 7,657 9,460 6,430 5.0 4.0 4.9 3.3

Tampa-St. Petersburg-Clearwater. . . . . . 1,481,720 1,528,252 1,493,564 1,532,687 71,476 60,675 71,798 50,530 4.8 4.0 4.8 3.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 29,341 30,270 29,567 30,589 2,097 1,817 2,130 1,442 7.1 6.0 7.2 4.7

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,920,833 5,055,130 4,957,356 5,091,718 273,846 242,495 274,962 216,127 5.6 4.8 5.5 4.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,660 66,724 66,891 67,474 4,324 3,876 4,334 3,455 6.6 5.8 6.5 5.1

Athens-Clarke County. . . . . . . . . . . . . . . . . 97,336 99,950 98,215 102,313 5,309 4,661 5,950 4,179 5.5 4.7 6.1 4.1

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,941,500 3,035,112 2,967,440 3,057,743 156,164 139,742 156,247 123,550 5.3 4.6 5.3 4.0

Augusta-Richmond County. . . . . . . . . . . . . 263,170 270,097 263,925 270,094 15,457 13,559 15,254 11,753 5.9 5.0 5.8 4.4

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,844 53,372 52,754 53,388 2,912 2,582 2,968 2,932 5.5 4.8 5.6 5.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,044 124,009 124,557 124,677 8,163 7,051 8,200 6,096 6.6 5.7 6.6 4.9

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,665 63,158 62,954 63,970 3,891 3,303 3,869 3,176 6.2 5.2 6.1 5.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 96,423 99,626 97,084 100,041 4,592 4,002 4,452 3,531 4.8 4.0 4.6 3.5

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,855 33,496 32,982 33,620 1,920 1,714 1,918 1,561 5.8 5.1 5.8 4.6

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 104,173 104,957 104,814 105,548 6,168 5,624 6,249 5,056 5.9 5.4 6.0 4.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,483 44,147 44,157 44,241 2,721 2,335 2,839 2,058 6.3 5.3 6.4 4.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,281 186,466 181,550 186,629 9,689 8,288 9,720 7,327 5.3 4.4 5.4 3.9

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,508 64,611 64,196 65,435 3,398 3,082 3,451 2,759 5.4 4.8 5.4 4.2

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 83,066 84,279 83,648 85,273 4,657 4,185 4,745 3,747 5.6 5.0 5.7 4.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 686,674 687,161 685,456 684,329 19,978 16,527 21,042 16,447 2.9 2.4 3.1 2.4

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 86,634 87,589 85,110 85,511 2,646 2,187 2,784 2,163 3.1 2.5 3.3 2.5

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 471,740 472,972 474,596 473,879 12,749 11,001 13,829 10,979 2.7 2.3 2.9 2.3

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821,604 828,008 817,802 827,366 30,223 21,293 27,770 20,668 3.7 2.6 3.4 2.5

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 338,404 345,058 335,355 343,005 12,641 8,932 11,617 8,633 3.7 2.6 3.5 2.5

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 75,239 74,891 73,575 73,498 3,169 2,243 2,950 2,207 4.2 3.0 4.0 3.0

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,777 66,429 65,871 66,042 2,089 1,485 1,941 1,508 3.1 2.2 2.9 2.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,699 31,665 30,903 31,765 1,130 843 1,085 869 3.7 2.7 3.5 2.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,454 40,347 41,936 40,534 1,472 1,002 1,382 983 3.6 2.5 3.3 2.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,542,874 6,460,449 6,517,022 6,418,454 380,780 335,463 364,791 294,081 5.8 5.2 5.6 4.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 95,872 95,340 97,391 96,191 5,066 4,029 4,840 3,452 5.3 4.2 5.0 3.6

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,031 59,912 61,337 60,967 3,554 2,980 3,449 2,599 5.9 5.0 5.6 4.3

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 115,202 112,766 121,385 117,793 6,045 5,161 5,881 4,431 5.2 4.6 4.8 3.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,934,902 4,893,175 4,906,234 4,853,424 283,932 257,163 269,640 226,005 5.8 5.3 5.5 4.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,671 33,680 34,740 33,602 2,563 2,322 2,461 1,967 7.4 6.9 7.1 5.9

Davenport-Moline-Rock Island1. . . . . . . . . 192,461 188,820 191,249 187,307 10,203 8,447 10,485 8,016 5.3 4.5 5.5 4.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,274 49,140 50,040 48,600 3,399 2,911 3,235 2,477 6.8 5.9 6.5 5.1

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,829 54,036 54,664 54,069 3,442 2,874 3,349 2,530 6.3 5.3 6.1 4.7

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,665 180,234 182,999 177,460 11,652 9,564 11,370 8,317 6.3 5.3 6.2 4.7

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,880 164,062 167,240 162,146 11,061 9,263 10,880 8,139 6.6 5.6 6.5 5.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 115,493 114,169 113,348 110,699 5,416 4,805 5,269 4,267 4.7 4.2 4.6 3.9

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,334,171 3,354,159 3,325,272 3,340,423 147,078 135,450 134,378 119,196 4.4 4.0 4.0 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,051 75,033 79,051 78,803 3,708 3,479 3,258 2,789 4.9 4.6 4.1 3.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,579 45,956 44,043 45,274 1,535 1,432 1,355 1,211 3.4 3.1 3.1 2.7

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 109,277 113,737 107,699 111,861 3,971 3,350 3,589 2,760 3.6 2.9 3.3 2.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,246 162,208 159,993 161,700 6,726 6,217 6,326 5,359 4.2 3.8 4.0 3.3

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 212,833 214,177 211,903 212,329 8,827 8,018 7,993 7,198 4.1 3.7 3.8 3.4

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,046,203 1,061,028 1,037,699 1,054,976 42,205 40,165 38,876 35,714 4.0 3.8 3.7 3.4

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,388 39,516 37,946 38,855 1,735 1,618 1,521 1,403 4.5 4.1 4.0 3.6

Lafayette-West Lafayette. . . . . . . . . . . . . . 108,006 109,183 111,218 112,386 4,510 4,248 4,024 3,476 4.2 3.9 3.6 3.1

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,567 46,735 48,199 46,502 2,762 2,285 2,529 2,021 5.7 4.9 5.2 4.3

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,108 54,047 55,236 55,152 2,859 2,782 2,581 2,387 5.3 5.1 4.7 4.3

South Bend-Mishawaka. . . . . . . . . . . . . . . 155,486 154,856 159,481 156,452 7,356 6,605 6,804 5,906 4.7 4.3 4.3 3.8

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,283 78,231 77,499 77,652 4,169 3,697 3,790 3,283 5.4 4.7 4.9 4.2

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,702,436 1,688,288 1,698,623 1,688,189 62,720 55,174 57,646 50,097 3.7 3.3 3.4 3.0

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,830 55,621 58,325 58,811 1,425 1,361 1,361 1,186 2.6 2.4 2.3 2.0

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,042 142,315 142,432 142,586 5,389 5,098 5,000 4,732 3.8 3.6 3.5 3.3

Des Moines-West Des Moines. . . . . . . . . 346,434 350,172 342,963 345,715 11,886 10,554 11,050 9,841 3.4 3.0 3.2 2.8

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,966 53,478 54,674 54,176 1,934 1,683 1,729 1,485 3.6 3.1 3.2 2.7

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,683 99,095 97,860 99,865 2,769 2,832 2,593 2,478 2.8 2.9 2.6 2.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,731 91,119 91,546 90,710 3,246 2,954 2,954 2,626 3.5 3.2 3.2 2.9

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,155 87,064 90,009 88,728 4,199 3,300 3,645 2,938 4.7 3.8 4.0 3.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,477,686 1,482,048 1,478,192 1,486,961 67,296 61,407 60,371 50,971 4.6 4.1 4.1 3.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,707 63,574 66,410 66,018 2,537 2,321 2,298 1,930 4.0 3.7 3.5 2.9

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 45,398 46,291 50,431 49,720 1,747 1,594 1,617 1,358 3.8 3.4 3.2 2.7

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121,375 122,137 119,535 120,775 5,249 4,880 4,731 4,073 4.3 4.0 4.0 3.4

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309,168 311,301 304,786 310,889 16,175 14,672 14,304 12,344 5.2 4.7 4.7 4.0

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,990,054 2,055,408 2,000,277 2,063,363 95,780 107,284 96,448 88,206 4.8 5.2 4.8 4.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 78,514 82,029 79,775 83,373 2,929 3,910 2,958 3,470 3.7 4.8 3.7 4.2

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,467 68,409 65,536 67,924 2,745 3,359 2,934 2,809 4.2 4.9 4.5 4.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 260,925 270,220 262,054 271,487 9,020 11,002 9,325 9,040 3.5 4.1 3.6 3.3

Louisville/Jefferson County. . . . . . . . . . . . . 646,320 668,097 645,818 667,287 26,561 30,452 26,306 24,734 4.1 4.6 4.1 3.7

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 53,550 55,063 53,671 55,199 2,246 2,693 2,318 2,195 4.2 4.9 4.3 4.0

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,118,794 2,090,299 2,118,949 2,090,429 138,745 117,869 134,882 110,356 6.5 5.6 6.4 5.3

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,085 64,603 65,620 64,155 4,506 4,036 4,302 3,713 6.8 6.2 6.6 5.8

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 415,368 415,995 421,286 420,104 23,655 20,603 24,302 19,113 5.7 5.0 5.8 4.5

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,730 54,218 54,933 54,143 3,886 3,435 3,848 3,160 7.1 6.3 7.0 5.8

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 91,871 88,181 90,914 87,024 6,553 5,061 6,378 4,825 7.1 5.7 7.0 5.5

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,408 209,390 214,098 208,127 16,207 12,485 15,795 11,672 7.5 6.0 7.4 5.6

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 107,096 110,903 108,509 111,511 5,479 4,771 5,330 4,722 5.1 4.3 4.9 4.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,861 80,287 80,967 80,059 5,280 4,507 5,008 4,304 6.5 5.6 6.2 5.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . 600,382 592,533 598,609 592,387 35,930 32,028 34,493 29,808 6.0 5.4 5.8 5.0

Shreveport-Bossier City. . . . . . . . . . . . . . . 191,345 185,702 189,718 185,300 13,288 11,298 12,761 10,473 6.9 6.1 6.7 5.7

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710,951 721,879 695,467 705,244 23,400 22,156 23,693 21,357 3.3 3.1 3.4 3.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,103 71,094 70,803 71,239 2,405 2,318 2,425 2,204 3.4 3.3 3.4 3.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,803 56,938 55,719 56,580 1,794 1,739 1,796 1,642 3.2 3.1 3.2 2.9

Portland-South Portland. . . . . . . . . . . . . . . 207,674 213,378 203,358 207,596 5,481 5,326 5,556 5,145 2.6 2.5 2.7 2.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,191,365 3,264,665 3,177,815 3,245,132 139,987 130,838 132,464 114,486 4.4 4.0 4.2 3.5

Baltimore-Columbia-Towson. . . . . . . . . . . 1,494,189 1,523,946 1,486,479 1,512,956 68,792 64,494 64,101 55,402 4.6 4.2 4.3 3.7

California-Lexington Park. . . . . . . . . . . . . . 54,901 56,079 54,374 55,624 2,392 2,280 2,147 1,844 4.4 4.1 3.9 3.3

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,120 43,854 44,222 44,289 2,712 2,378 2,375 2,010 6.1 5.4 5.4 4.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 131,862 132,514 131,403 131,895 6,124 5,626 5,494 4,758 4.6 4.2 4.2 3.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,622,631 3,712,378 3,568,057 3,645,775 123,037 139,164 119,229 128,050 3.4 3.7 3.3 3.5

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 136,786 139,793 124,402 127,827 4,083 4,579 4,034 4,268 3.0 3.3 3.2 3.3

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,663,901 2,731,487 2,631,273 2,689,142 84,533 94,603 81,748 87,802 3.2 3.5 3.1 3.3

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 76,044 77,875 75,348 76,644 3,179 3,475 2,976 3,072 4.2 4.5 3.9 4.0

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 83,725 87,036 82,865 85,730 4,071 4,612 4,042 4,345 4.9 5.3 4.9 5.1

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,004 44,623 42,346 43,014 1,566 1,836 1,560 1,755 3.6 4.1 3.7 4.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 363,047 369,360 362,089 369,075 15,963 17,299 14,993 15,457 4.4 4.7 4.1 4.2

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 345,897 352,260 343,771 347,933 13,233 14,313 12,662 12,925 3.8 4.1 3.7 3.7

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,874,284 4,883,648 4,860,874 4,898,001 254,249 226,281 233,070 218,842 5.2 4.6 4.8 4.5

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 189,651 192,054 192,473 195,766 7,486 7,480 6,856 7,600 3.9 3.9 3.6 3.9

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 65,025 64,849 64,133 64,406 3,149 3,304 2,796 3,116 4.8 5.1 4.4 4.8

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,144 51,488 51,752 51,284 2,729 2,886 2,393 2,539 5.2 5.6 4.6 5.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,095,235 2,107,495 2,095,472 2,116,392 127,250 93,032 118,095 93,658 6.1 4.4 5.6 4.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,965 182,892 181,527 181,859 9,959 10,628 9,122 10,110 5.4 5.8 5.0 5.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 568,412 572,345 564,190 573,379 20,492 21,789 18,538 20,394 3.6 3.8 3.3 3.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,166 74,384 73,788 73,889 3,619 3,640 3,241 3,395 4.9 4.9 4.4 4.6

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,923 168,582 167,688 169,676 7,299 7,826 6,683 7,336 4.3 4.6 4.0 4.3

Lansing-East Lansing. . . . . . . . . . . . . . . . . 241,184 242,054 246,595 247,813 10,060 11,276 9,228 10,547 4.2 4.7 3.7 4.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,187 40,607 40,825 40,535 1,880 1,914 1,683 1,785 4.6 4.7 4.1 4.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,477 76,896 76,652 77,855 3,681 4,067 3,244 4,288 4.8 5.3 4.2 5.5

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 78,239 77,717 76,743 77,246 4,209 4,490 3,793 4,117 5.4 5.8 4.9 5.3

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 75,093 74,889 74,261 73,775 3,654 3,723 3,333 3,416 4.9 5.0 4.5 4.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,762 88,501 88,498 88,758 4,503 4,878 4,105 4,537 5.1 5.5 4.6 5.1

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,016,796 3,082,486 3,001,492 3,071,661 113,799 109,837 108,951 89,367 3.8 3.6 3.6 2.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,620 144,585 141,995 143,767 7,787 6,736 7,116 5,276 5.5 4.7 5.0 3.7

Mankato-North Mankato. . . . . . . . . . . . . . . 57,692 58,668 59,315 60,203 1,827 1,742 1,740 1,455 3.2 3.0 2.9 2.4

Minneapolis-St. Paul-Bloomington. . . . . . 1,959,254 2,009,767 1,948,632 2,002,065 70,270 69,194 68,425 57,284 3.6 3.4 3.5 2.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,549 121,685 118,212 119,659 3,816 3,572 3,618 2,952 3.2 2.9 3.1 2.5

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,339 110,858 109,016 110,434 3,971 3,736 3,900 3,117 3.6 3.4 3.6 2.8

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,272,765 1,275,891 1,282,108 1,277,442 71,743 64,775 72,753 59,780 5.6 5.1 5.7 4.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,622 164,801 163,895 163,640 9,271 8,351 9,636 7,939 5.6 5.1 5.9 4.9

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 66,210 66,877 67,618 68,030 3,463 3,041 3,584 2,779 5.2 4.5 5.3 4.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267,649 270,886 269,497 269,779 12,615 11,860 13,241 11,144 4.7 4.4 4.9 4.1

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,107,753 3,068,354 3,108,513 3,081,861 160,287 128,881 141,820 102,076 5.2 4.2 4.6 3.3

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,822 45,610 48,855 45,222 2,637 1,923 2,360 1,616 5.4 4.2 4.8 3.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,814 97,487 99,498 100,852 3,907 2,870 3,364 2,352 4.0 2.9 3.4 2.3

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 76,908 75,023 76,443 74,953 3,481 2,858 2,883 2,128 4.5 3.8 3.8 2.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,756 84,976 86,178 86,130 4,367 3,241 3,869 2,650 5.1 3.8 4.5 3.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,134,240 1,139,629 1,126,267 1,131,506 53,713 50,201 48,492 38,011 4.7 4.4 4.3 3.4

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,389 64,508 66,038 64,148 3,014 2,437 2,722 1,989 4.5 3.8 4.1 3.1

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,485,053 1,462,272 1,478,938 1,465,520 76,320 60,345 69,383 50,595 5.1 4.1 4.7 3.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,005 230,408 233,213 234,489 10,838 8,220 9,677 6,802 4.7 3.6 4.1 2.9

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534,042 532,642 525,693 524,252 19,672 17,937 17,809 17,618 3.7 3.4 3.4 3.4

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,141 88,533 88,047 87,611 3,066 2,813 2,783 2,732 3.5 3.2 3.2 3.1

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,997 37,965 38,286 37,767 1,365 1,265 1,278 1,281 3.6 3.3 3.3 3.4

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,029 61,239 62,256 62,241 2,017 1,893 1,838 1,860 3.3 3.1 3.0 3.0

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013,673 1,010,698 1,003,800 1,000,367 32,821 28,061 31,006 25,451 3.2 2.8 3.1 2.5

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,540 43,645 43,433 43,217 1,443 1,195 1,375 1,076 3.3 2.7 3.2 2.5

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176,491 181,324 177,180 180,254 5,284 4,579 5,120 4,208 3.0 2.5 2.9 2.3

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 478,379 486,400 475,037 483,345 16,228 14,055 15,476 12,780 3.4 2.9 3.3 2.6

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,429,173 1,449,756 1,432,348 1,457,790 79,024 72,289 77,259 72,263 5.5 5.0 5.4 5.0

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,877 24,761 24,710 24,789 1,399 1,160 1,375 1,180 5.6 4.7 5.6 4.8

Las Vegas-Henderson-Paradise. . . . . . . . 1,049,101 1,068,706 1,050,775 1,073,563 60,137 55,927 58,685 55,971 5.7 5.2 5.6 5.2

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,452 234,840 234,523 237,890 10,897 9,548 10,698 9,483 4.7 4.1 4.6 4.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 758,169 757,359 746,963 743,752 20,933 19,423 19,415 19,449 2.8 2.6 2.6 2.6

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 83,995 84,259 84,620 83,660 2,152 1,968 2,004 1,984 2.6 2.3 2.4 2.4

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,381 117,098 116,204 116,131 3,218 3,006 2,986 3,011 2.8 2.6 2.6 2.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 77,561 76,233 75,835 74,811 1,886 1,778 1,775 1,839 2.4 2.3 2.3 2.5

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,545,123 4,553,612 4,500,021 4,503,328 229,302 218,851 220,483 215,945 5.0 4.8 4.9 4.8

Atlantic City-Hammonton. . . . . . . . . . . . . . 126,672 127,341 125,027 124,879 8,414 8,431 8,275 8,278 6.6 6.6 6.6 6.6

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 56,890 56,920 49,912 51,628 3,125 2,962 3,141 3,081 5.5 5.2 6.3 6.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,027 201,414 197,832 198,221 9,242 8,847 8,645 8,526 4.6 4.4 4.4 4.3

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 65,049 66,945 66,550 68,170 4,799 4,728 4,568 4,577 7.4 7.1 6.9 6.7

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 928,217 924,767 925,371 926,280 66,051 59,647 62,481 56,364 7.1 6.4 6.8 6.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 422,900 422,736 423,480 425,823 27,778 25,903 26,411 24,635 6.6 6.1 6.2 5.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 52,518 50,927 53,223 52,129 5,250 3,887 4,855 3,598 10.0 7.6 9.1 6.9

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 95,161 94,341 94,761 94,023 6,859 6,468 6,525 6,113 7.2 6.9 6.9 6.5

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,160 74,182 71,884 72,633 4,191 3,975 3,917 3,822 5.7 5.4 5.4 5.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,627,104 9,728,580 9,554,863 9,738,070 474,278 472,617 471,384 461,203 4.9 4.9 4.9 4.7

Albany-Schenectady-Troy. . . . . . . . . . . . . . 449,313 449,776 444,361 449,724 18,058 18,867 18,655 18,718 4.0 4.2 4.2 4.2

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,904 107,861 108,282 109,488 5,369 5,458 5,650 5,428 5.0 5.1 5.2 5.0

Buffalo-Cheektowaga-Niagara Falls. . . . . 549,644 549,470 545,109 547,438 27,149 28,568 27,565 26,962 4.9 5.2 5.1 4.9

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,097 35,710 35,981 35,783 1,962 1,863 2,035 1,876 5.4 5.2 5.7 5.2

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 63,219 62,971 60,323 61,128 2,569 2,607 2,705 2,602 4.1 4.1 4.5 4.3

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,056 48,695 49,923 51,985 2,051 2,156 2,146 2,234 4.2 4.4 4.3 4.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,450 88,799 87,996 88,997 3,958 4,038 3,934 3,830 4.5 4.5 4.5 4.3

New York-Newark-Jersey City. . . . . . . . . . 10,046,939 10,160,353 9,968,188 10,125,813 503,205 488,276 490,139 478,483 5.0 4.8 4.9 4.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 521,239 517,057 519,042 519,810 24,039 25,202 24,765 24,607 4.6 4.9 4.8 4.7

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,272 307,078 305,835 309,628 14,384 14,811 15,057 14,924 4.7 4.8 4.9 4.8

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 131,328 131,421 128,793 130,400 5,891 6,320 6,209 6,222 4.5 4.8 4.8 4.8

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 47,199 46,906 45,690 46,341 2,498 2,548 2,574 2,464 5.3 5.4 5.6 5.3

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,867,507 4,904,148 4,902,908 4,967,185 255,587 218,565 243,039 197,787 5.3 4.5 5.0 4.0

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225,282 226,145 227,026 229,533 9,592 8,269 9,070 7,473 4.3 3.7 4.0 3.3

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,831 79,492 79,628 80,640 3,968 3,434 3,671 3,023 5.0 4.3 4.6 3.7

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,279,411 1,300,640 1,290,612 1,316,810 63,904 55,141 61,195 50,030 5.0 4.2 4.7 3.8

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 288,206 294,066 289,859 297,651 13,749 11,852 12,779 10,573 4.8 4.0 4.4 3.6

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 145,580 145,839 147,564 148,535 9,625 8,143 9,270 7,518 6.6 5.6 6.3 5.1

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,938 51,996 53,634 52,776 3,104 2,622 3,043 2,371 5.9 5.0 5.7 4.5

Greensboro-High Point. . . . . . . . . . . . . . . . 365,933 367,147 368,421 371,811 20,179 17,410 19,076 15,646 5.5 4.7 5.2 4.2

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,144 87,314 89,391 88,429 5,230 4,415 4,691 3,849 5.9 5.1 5.2 4.4

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 170,368 170,444 171,473 172,183 8,602 7,181 8,138 6,468 5.0 4.2 4.7 3.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 63,705 63,831 63,990 64,582 3,579 3,139 3,488 2,941 5.6 4.9 5.5 4.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,007 52,135 51,828 52,181 2,769 2,399 2,662 2,215 5.3 4.6 5.1 4.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 680,773 697,798 683,850 704,023 31,067 27,405 29,249 24,633 4.6 3.9 4.3 3.5

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,936 64,065 67,106 65,920 4,990 4,212 4,878 3,843 7.6 6.6 7.3 5.8

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,379 146,887 145,255 148,197 7,197 6,073 6,857 5,400 5.0 4.1 4.7 3.6

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 320,217 319,781 323,305 324,934 16,318 13,832 15,337 12,476 5.1 4.3 4.7 3.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 424,003 422,679 417,632 417,114 12,150 9,092 10,058 7,822 2.9 2.2 2.4 1.9

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,971 70,454 69,640 68,933 1,843 1,510 1,561 1,337 2.6 2.1 2.2 1.9

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,055 139,851 136,606 139,420 3,215 2,839 2,974 2,558 2.3 2.0 2.2 1.8

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 56,302 55,687 57,330 56,344 1,649 1,578 1,402 1,187 2.9 2.8 2.4 2.1

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,754,445 5,791,363 5,719,701 5,770,613 278,828 307,839 281,698 270,835 4.8 5.3 4.9 4.7

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358,678 356,149 359,387 358,047 17,552 18,631 17,908 16,563 4.9 5.2 5.0 4.6

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 199,715 197,964 198,402 196,776 10,484 10,573 10,784 9,349 5.2 5.3 5.4 4.8

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,093,270 1,122,236 1,088,148 1,116,578 46,385 51,184 46,885 44,097 4.2 4.6 4.3 3.9

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,039,216 1,041,091 1,029,181 1,034,646 55,690 70,310 54,249 58,707 5.4 6.8 5.3 5.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,062,136 1,075,391 1,053,461 1,075,687 43,139 46,016 44,327 40,551 4.1 4.3 4.2 3.8

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,326 386,892 383,122 383,742 17,848 19,195 18,332 16,731 4.6 5.0 4.8 4.4

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,403 48,448 47,897 47,740 2,396 2,493 2,441 2,197 5.0 5.1 5.1 4.6

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,603 53,806 53,069 53,314 2,719 2,892 2,838 2,611 5.1 5.4 5.3 4.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,705 63,801 63,659 63,568 3,168 3,186 3,709 2,779 5.0 5.0 5.8 4.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,053 307,863 303,984 306,687 14,690 18,501 14,912 15,985 4.8 6.0 4.9 5.2

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 52,175 50,707 51,639 50,629 3,858 3,384 3,644 2,940 7.4 6.7 7.1 5.8

Youngstown-Warren-Boardman. . . . . . . . 250,132 245,635 248,508 246,185 15,496 15,891 15,327 17,441 6.2 6.5 6.2 7.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,820,146 1,821,384 1,827,050 1,838,387 92,321 86,298 89,975 79,762 5.1 4.7 4.9 4.3

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,071 30,686 29,834 30,644 1,324 1,197 1,272 1,142 4.4 3.9 4.3 3.7

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,345 52,549 52,074 52,624 2,490 2,624 2,477 2,460 4.8 5.0 4.8 4.7

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 663,686 669,971 666,019 676,009 29,103 28,557 28,904 26,375 4.4 4.3 4.3 3.9

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473,342 473,227 473,464 476,383 25,359 23,454 24,213 21,682 5.4 5.0 5.1 4.6

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,085,823 2,142,837 2,075,688 2,137,787 107,054 96,579 95,099 88,962 5.1 4.5 4.6 4.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,280 58,614 57,395 58,560 3,467 3,064 3,049 2,824 6.1 5.2 5.3 4.8

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 92,902 96,062 91,959 94,881 4,363 4,016 4,021 3,793 4.7 4.2 4.4 4.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,634 46,288 46,462 47,239 2,076 1,820 1,829 1,665 4.5 3.9 3.9 3.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,240 183,050 179,439 183,626 9,971 9,124 8,935 8,395 5.6 5.0 5.0 4.6

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 34,908 36,051 35,303 36,372 2,356 2,110 2,081 1,913 6.7 5.9 5.9 5.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,903 104,966 103,332 105,530 6,329 5,568 5,399 4,847 6.1 5.3 5.2 4.6

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,287,275 1,330,292 1,280,681 1,326,878 64,417 55,997 57,977 52,526 5.0 4.2 4.5 4.0

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200,104 205,220 199,998 205,805 10,944 9,897 9,599 8,900 5.5 4.8 4.8 4.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,509,403 6,444,680 6,474,896 6,404,607 381,313 329,298 345,629 282,627 5.9 5.1 5.3 4.4

Allentown-Bethlehem-Easton. . . . . . . . . . . 437,498 429,340 437,378 426,237 25,330 22,517 23,740 19,465 5.8 5.2 5.4 4.6

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,066 60,444 60,872 59,085 3,467 3,025 3,084 2,519 5.6 5.0 5.1 4.3

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,859 42,428 43,206 42,852 2,466 2,129 2,073 1,819 5.8 5.0 4.8 4.2

Chambersburg-Waynesboro. . . . . . . . . . . 78,165 77,174 77,250 76,235 4,498 3,523 3,913 2,926 5.8 4.6 5.1 3.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 83,003 81,579 81,958 81,134 5,521 4,933 5,190 4,361 6.7 6.0 6.3 5.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,894 132,307 134,919 131,852 9,301 7,471 8,640 6,412 6.9 5.6 6.4 4.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,673 55,755 55,733 55,408 2,451 2,190 2,081 1,773 4.4 3.9 3.7 3.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 300,703 303,759 297,390 297,455 14,756 13,253 13,418 11,393 4.9 4.4 4.5 3.8

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 61,612 60,372 61,160 59,476 4,614 3,870 3,840 3,068 7.5 6.4 6.3 5.2

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 284,465 284,813 281,268 281,059 13,067 11,697 11,384 9,632 4.6 4.1 4.0 3.4

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,314 71,005 70,774 69,848 3,517 3,139 3,110 2,596 4.9 4.4 4.4 3.7

Philadelphia-Camden-Wilmington. . . . . . . 3,097,873 3,100,696 3,088,499 3,088,202 170,559 158,295 158,396 142,998 5.5 5.1 5.1 4.6

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,224,950 1,205,632 1,214,529 1,203,775 74,478 62,617 66,920 52,833 6.1 5.2 5.5 4.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,153 215,190 214,158 213,037 11,732 10,230 10,636 8,901 5.5 4.8 5.0 4.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . 280,721 276,860 280,032 276,237 18,136 16,067 16,338 13,728 6.5 5.8 5.8 5.0

State College. . . . . . . . . . . . . . . . . . . . . . . . 78,252 76,022 79,913 78,143 3,662 2,936 3,160 2,588 4.7 3.9 4.0 3.3

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 58,933 56,674 58,644 56,987 4,036 3,102 3,690 2,816 6.8 5.5 6.3 4.9

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 236,617 234,391 235,322 232,172 12,070 11,168 10,713 9,350 5.1 4.8 4.6 4.0

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 558,556 560,138 552,409 551,156 30,925 23,791 27,069 20,438 5.5 4.2 4.9 3.7

Providence-Warwick. . . . . . . . . . . . . . . . . . 684,007 688,669 677,821 677,911 35,693 29,476 31,744 25,605 5.2 4.3 4.7 3.8

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,316,553 2,340,124 2,301,557 2,323,275 117,129 104,662 108,274 89,151 5.1 4.5 4.7 3.8

Charleston-North Charleston. . . . . . . . . . . 375,636 380,699 374,209 378,633 16,364 14,357 15,192 12,381 4.4 3.8 4.1 3.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 404,919 405,637 403,773 404,501 19,407 18,274 18,192 15,657 4.8 4.5 4.5 3.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,287 97,032 95,753 96,214 5,353 4,863 5,005 4,163 5.6 5.0 5.2 4.3

Greenville-Anderson-Mauldin. . . . . . . . . . . 422,337 425,848 421,440 426,104 19,521 17,073 18,035 14,717 4.6 4.0 4.3 3.5

Hilton Head Island-Bluffton-Beaufort. . . . 87,170 87,956 85,037 85,099 4,106 3,588 3,712 3,106 4.7 4.1 4.4 3.6

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,941 198,469 191,467 193,284 10,425 9,228 10,146 8,352 5.3 4.6 5.3 4.3

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 154,660 157,653 154,790 157,738 7,615 6,957 7,011 5,760 4.9 4.4 4.5 3.7

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,305 44,370 44,194 43,559 2,640 2,546 2,431 2,114 6.0 5.7 5.5 4.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 458,179 462,308 451,351 455,919 12,510 15,635 11,406 13,919 2.7 3.4 2.5 3.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 75,303 77,327 72,362 73,806 2,049 2,560 1,975 2,341 2.7 3.3 2.7 3.2

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 146,631 149,932 145,708 148,344 3,234 4,227 3,054 3,836 2.2 2.8 2.1 2.6

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,149,600 3,193,004 3,160,765 3,223,416 163,305 114,558 164,593 93,431 5.2 3.6 5.2 2.9

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 260,265 266,639 261,985 268,480 13,938 10,331 14,032 8,588 5.4 3.9 5.4 3.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,810 110,546 110,487 111,316 6,454 5,316 6,517 4,313 5.9 4.8 5.9 3.9

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,930 59,273 57,695 59,601 2,983 2,131 2,930 1,697 5.1 3.6 5.1 2.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,662 64,184 63,544 64,396 3,521 2,442 3,355 1,993 5.5 3.8 5.3 3.1

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 88,706 89,493 90,066 91,543 5,072 3,644 5,156 2,934 5.7 4.1 5.7 3.2

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 137,494 138,333 139,037 139,165 7,578 5,467 7,649 4,778 5.5 4.0 5.5 3.4

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413,651 413,825 417,183 420,619 20,341 14,295 20,558 11,533 4.9 3.5 4.9 2.7

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 623,533 630,658 624,508 631,458 34,977 26,090 35,310 22,300 5.6 4.1 5.7 3.5

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,630 51,356 50,967 52,287 2,846 2,000 2,850 1,631 5.6 3.9 5.6 3.1

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 977,431 1,007,315 982,130 1,020,546 40,372 28,659 41,006 23,239 4.1 2.8 4.2 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,295,171 13,406,493 13,359,661 13,499,113 656,216 604,778 646,980 543,637 4.9 4.5 4.8 4.0

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,268 73,720 74,894 74,657 3,087 3,026 3,106 2,620 4.2 4.1 4.1 3.5

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,768 131,437 131,178 131,940 4,336 4,104 4,459 3,614 3.3 3.1 3.4 2.7

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,110,447 1,127,294 1,119,209 1,143,062 38,241 37,762 38,536 33,266 3.4 3.3 3.4 2.9

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 173,208 171,039 174,912 173,648 12,972 12,318 12,584 14,054 7.5 7.2 7.2 8.1

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 166,665 166,507 165,996 165,957 12,569 12,250 12,212 10,602 7.5 7.4 7.4 6.4

College Station-Bryan. . . . . . . . . . . . . . . . . 121,186 124,537 127,321 130,457 4,946 4,460 4,669 3,798 4.1 3.6 3.7 2.9

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 205,014 208,841 205,244 210,620 12,807 12,113 12,905 12,319 6.2 5.8 6.3 5.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,699,756 3,770,671 3,720,102 3,806,292 150,287 146,742 148,645 128,090 4.1 3.9 4.0 3.4

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351,001 355,826 354,124 361,043 18,572 17,106 18,255 15,237 5.3 4.8 5.2 4.2

Houston-The Woodlands-Sugar Land. . . 3,286,912 3,301,434 3,300,790 3,308,013 187,888 170,743 186,603 159,237 5.7 5.2 5.7 4.8

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,369 178,821 176,865 179,560 8,153 7,566 8,219 6,861 4.6 4.2 4.6 3.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113,502 113,764 114,178 114,668 5,848 4,946 5,605 4,164 5.2 4.3 4.9 3.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,649 96,651 98,728 97,283 6,819 5,033 6,621 4,436 6.9 5.2 6.7 4.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,670 160,124 158,771 160,203 5,835 5,815 5,566 4,691 3.7 3.6 3.5 2.9

McAllen-Edinburg-Mission. . . . . . . . . . . . . 333,949 335,877 334,433 335,220 27,713 26,674 26,267 23,004 8.3 7.9 7.9 6.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,522 86,615 86,890 87,731 4,088 2,798 3,998 2,458 4.7 3.2 4.6 2.8

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,441 73,857 75,909 75,142 5,313 3,170 5,117 2,762 7.0 4.3 6.7 3.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,816 53,720 54,673 53,766 2,604 2,055 2,519 1,802 4.8 3.8 4.6 3.4

San Antonio-New Braunfels. . . . . . . . . . . . 1,140,404 1,159,112 1,147,325 1,167,954 45,318 43,108 44,979 37,696 4.0 3.7 3.9 3.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 61,167 61,697 61,049 61,687 2,429 2,269 2,403 1,998 4.0 3.7 3.9 3.2

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,159 64,446 65,361 64,884 3,240 3,037 3,168 2,726 5.0 4.7 4.8 4.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,279 106,902 106,301 107,332 5,321 4,319 5,144 4,034 5.0 4.0 4.8 3.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,210 46,760 47,376 46,880 2,846 2,262 2,764 2,168 6.0 4.8 5.8 4.6

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,920 122,400 123,283 122,290 5,219 5,429 5,148 4,649 4.2 4.4 4.2 3.8

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 63,866 62,955 63,564 63,337 2,890 2,472 2,849 2,178 4.5 3.9 4.5 3.4

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,521,514 1,575,870 1,521,521 1,573,459 51,814 55,242 46,235 48,027 3.4 3.5 3.0 3.1

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,751 67,937 68,429 70,455 2,058 2,052 1,825 1,749 3.1 3.0 2.7 2.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 318,958 330,530 317,514 326,214 10,842 11,788 9,801 10,306 3.4 3.6 3.1 3.2

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 284,735 296,348 288,386 299,502 8,839 9,612 8,069 8,399 3.1 3.2 2.8 2.8

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 68,526 72,695 68,417 72,588 2,420 2,691 2,198 2,301 3.5 3.7 3.2 3.2

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 641,274 663,121 638,674 660,223 20,561 22,679 18,330 19,690 3.2 3.4 2.9 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348,711 349,208 344,666 343,168 10,916 10,478 11,186 10,000 3.1 3.0 3.2 2.9

Burlington-South Burlington. . . . . . . . . . . . 125,752 126,869 125,070 125,843 3,392 3,232 3,510 3,079 2.7 2.5 2.8 2.4

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,250,825 4,331,902 4,251,219 4,336,446 183,143 165,044 177,096 156,536 4.3 3.8 4.2 3.6

Blacksburg-Christiansburg-Radford. . . . . 90,689 91,689 92,612 94,899 5,712 3,871 4,258 3,591 6.3 4.2 4.6 3.8

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 113,744 116,673 117,348 120,574 4,385 4,097 4,266 3,791 3.9 3.5 3.6 3.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 63,740 64,744 65,900 67,066 2,739 2,494 2,634 2,359 4.3 3.9 4.0 3.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,582 122,268 121,985 123,540 6,016 5,639 5,662 5,156 4.9 4.6 4.6 4.2

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 664,357 686,510 664,154 686,048 29,436 27,134 28,699 25,949 4.4 4.0 4.3 3.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,282 161,359 157,563 162,359 6,676 6,472 6,484 5,917 4.2 4.0 4.1 3.6

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,028 60,055 59,412 60,603 2,275 2,111 2,348 2,049 3.9 3.5 4.0 3.4

Virginia Beach-Norfolk-Newport News. . . 843,713 848,004 836,717 840,261 41,074 36,566 39,571 34,313 4.9 4.3 4.7 4.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,873 70,949 69,639 71,220 2,659 2,421 2,585 2,263 3.8 3.4 3.7 3.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,658,770 3,742,152 3,666,453 3,774,386 193,627 168,196 185,885 165,289 5.3 4.5 5.1 4.4

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 106,052 110,008 106,225 111,060 6,422 5,112 6,034 5,007 6.1 4.6 5.7 4.5

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 116,862 119,262 116,280 120,215 6,811 5,491 6,600 5,553 5.8 4.6 5.7 4.6

Kennewick-Richland. . . . . . . . . . . . . . . . . . 136,893 139,140 135,511 139,415 8,755 6,649 7,988 6,381 6.4 4.8 5.9 4.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,754 45,526 44,716 46,022 3,386 2,527 3,230 2,486 7.6 5.6 7.2 5.4

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,036 61,016 58,197 61,021 3,876 2,930 3,648 2,859 6.6 4.8 6.3 4.7

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 129,021 134,322 130,483 135,745 7,349 6,163 7,215 6,112 5.7 4.6 5.5 4.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,033,624 2,076,109 2,041,588 2,091,771 90,376 86,086 90,341 87,227 4.4 4.1 4.4 4.2

Spokane-Spokane Valley. . . . . . . . . . . . . . 253,478 259,761 255,231 264,194 16,185 12,905 15,064 12,449 6.4 5.0 5.9 4.7

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,416 30,858 30,468 31,552 1,633 1,343 1,524 1,329 5.4 4.4 5.0 4.2

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 67,903 70,010 67,372 69,539 3,683 2,839 3,232 2,510 5.4 4.1 4.8 3.6

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,845 135,275 132,878 136,361 9,321 7,887 7,529 6,090 7.0 5.8 5.7 4.5

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 787,513 782,355 787,174 784,426 46,854 42,019 42,749 34,582 5.9 5.4 5.4 4.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,554 44,820 45,954 44,854 3,162 2,659 2,934 2,205 6.8 5.9 6.4 4.9

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 97,131 97,635 96,853 97,122 5,721 5,273 5,344 4,398 5.9 5.4 5.5 4.5

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 146,220 146,399 147,434 147,187 9,343 8,730 8,740 7,209 6.4 6.0 5.9 4.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 65,238 66,181 66,955 68,039 3,152 2,914 2,774 2,338 4.8 4.4 4.1 3.4

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 39,301 38,761 39,067 38,366 2,363 2,239 2,082 1,812 6.0 5.8 5.3 4.7

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,224 64,284 64,711 64,059 4,176 3,644 4,003 3,085 6.4 5.7 6.2 4.8

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,144,447 3,186,928 3,127,214 3,167,409 125,875 107,806 117,402 95,141 4.0 3.4 3.8 3.0

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,252 136,928 131,389 134,968 4,619 3,971 4,216 3,531 3.5 2.9 3.2 2.6

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,125 91,813 92,212 92,043 3,209 2,900 2,964 2,572 3.5 3.2 3.2 2.8

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,317 58,554 57,552 58,286 2,105 1,771 1,785 1,445 3.7 3.0 3.1 2.5

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,283 176,664 173,271 174,810 6,383 5,250 5,990 4,822 3.6 3.0 3.5 2.8

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,808 87,455 84,192 86,911 3,783 3,225 3,643 2,883 4.5 3.7 4.3 3.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,136 78,766 77,776 79,205 2,802 2,281 2,575 2,091 3.6 2.9 3.3 2.6

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,283 392,698 384,484 393,596 10,890 9,569 10,797 9,207 2.8 2.4 2.8 2.3

Milwaukee-Waukesha-West Allis. . . . . . . 835,493 844,143 828,907 836,343 38,891 33,500 35,900 28,849 4.7 4.0 4.3 3.4

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,523 94,787 93,101 94,453 3,416 3,049 3,150 2,639 3.7 3.2 3.4 2.8

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,909 102,552 99,505 100,670 5,328 4,785 4,748 3,854 5.3 4.7 4.8 3.8

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 63,349 64,013 62,553 63,019 2,073 1,783 2,026 1,680 3.3 2.8 3.2 2.7

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,713 75,709 73,912 75,078 2,546 2,354 2,427 2,036 3.4 3.1 3.3 2.7

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,511 296,742 301,548 292,551 14,322 10,264 13,574 10,244 4.7 3.5 4.5 3.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,689 38,993 40,260 38,579 2,716 1,743 2,613 1,739 6.7 4.5 6.5 4.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,571 48,327 48,032 47,365 1,850 1,561 1,699 1,569 3.8 3.2 3.5 3.3

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,106,765 1,096,951 1,119,147 – 133,047 128,054 146,222 – 12.0 11.7 13.1 –

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 88,754 89,269 89,126 – 13,453 13,540 14,693 – 15.2 15.2 16.5 –

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,496 51,223 52,720 – 7,116 6,726 7,746 – 13.6 13.1 14.7 –

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,004 21,867 22,421 – 3,981 4,324 4,352 – 18.1 19.8 19.4 –

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,807 29,112 29,193 – 4,068 4,031 4,465 – 14.1 13.8 15.3 –

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,550 95,401 97,709 – 14,917 14,613 16,366 – 15.5 15.3 16.7 –

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,368 37,683 37,335 – 5,404 6,174 5,975 – 14.9 16.4 16.0 –

San Juan-Carolina-Caguas. . . . . . . . . . . . 736,634 726,495 745,435 – 76,147 70,471 83,606 – 10.3 9.7 11.2 –

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

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

p Preliminary

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

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

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

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

– Data not available.
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

August September Number Percent of labor force

2016 2017 2016 2017p

August September August September

2016 2017 2016 2017p 2016 2017 2016 2017p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,178,340 19,294,073 19,186,046 19,450,352 1,069,094 1,043,156 1,004,338 917,296 5.6 5.4 5.2 4.7

Los Angeles-Long Beach-Anaheim. . . 6,660,764 6,741,318 6,679,796 6,809,825 353,009 346,307 332,444 309,787 5.3 5.1 5.0 4.5

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,601,503 1,589,053 1,606,923 1,612,380 68,720 67,333 63,904 58,213 4.3 4.2 4.0 3.6

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,059,261 5,152,265 5,072,873 5,197,445 284,289 278,974 268,540 251,574 5.6 5.4 5.3 4.8

San Francisco-Oakland-Hayward. . . . . 2,559,668 2,569,575 2,556,644 2,586,523 102,243 101,125 95,621 86,624 4.0 3.9 3.7 3.3

Oakland-Hayward-Berkeley. . . . . . . . 1,400,533 1,404,518 1,400,407 1,412,156 63,963 62,169 59,561 53,374 4.6 4.4 4.3 3.8

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,016,796 1,022,432 1,014,718 1,030,350 33,390 34,123 31,499 29,138 3.3 3.3 3.1 2.8

San Rafael. . . . . . . . . . . . . . . . . . . . . . 142,339 142,625 141,519 144,017 4,890 4,833 4,561 4,112 3.4 3.4 3.2 2.9

District of Columbia. . . . . . . . . . . . . . . . . . . 391,268 397,156 390,933 399,120 24,968 26,206 24,088 28,053 6.4 6.6 6.2 7.0

Washington-Arlington-Alexandria2. . . . 3,317,964 3,407,227 3,316,842 3,402,900 132,301 127,168 130,231 122,338 4.0 3.7 3.9 3.6

Silver Spring-Frederick-Rockville3.. . 683,331 705,183 682,823 703,522 23,280 21,968 23,474 20,369 3.4 3.1 3.4 2.9

Washington-Arlington-Alexandria2.. . 2,634,633 2,702,044 2,634,019 2,699,378 109,021 105,200 106,757 101,969 4.1 3.9 4.1 3.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,867,355 10,129,925 9,946,538 10,184,523 509,388 431,261 508,834 366,862 5.2 4.3 5.1 3.6

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,057,021 3,142,104 3,076,112 3,157,564 163,683 140,579 162,972 124,647 5.4 4.5 5.3 3.9

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,008,014 1,036,707 1,015,650 1,042,061 48,762 40,847 48,487 34,106 4.8 3.9 4.8 3.3

Miami-Miami Beach-Kendall. . . . . . . 1,340,860 1,380,257 1,345,375 1,386,576 77,390 67,669 76,973 64,004 5.8 4.9 5.7 4.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 708,147 725,140 715,087 728,927 37,531 32,063 37,512 26,537 5.3 4.4 5.2 3.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,542,874 6,460,449 6,517,022 6,418,454 380,780 335,463 364,791 294,081 5.8 5.2 5.6 4.6

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,934,902 4,893,175 4,906,234 4,853,424 283,932 257,163 269,640 226,005 5.8 5.3 5.5 4.7

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,804,720 3,772,175 3,780,509 3,743,527 223,786 204,388 212,408 179,348 5.9 5.4 5.6 4.8

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 323,711 318,121 323,564 315,575 17,100 14,962 16,433 12,858 5.3 4.7 5.1 4.1

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 341,376 338,204 341,795 336,939 20,106 17,988 18,677 16,586 5.9 5.3 5.5 4.9

Lake County-Kenosha County2. . . . 465,095 464,675 460,366 457,383 22,940 19,825 22,122 17,213 4.9 4.3 4.8 3.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,622,631 3,712,378 3,568,057 3,645,775 123,037 139,164 119,229 128,050 3.4 3.7 3.3 3.5

Boston-Cambridge-Nashua2. . . . . . . . . 2,663,901 2,731,487 2,631,273 2,689,142 84,533 94,603 81,748 87,802 3.2 3.5 3.1 3.3

Boston-Cambridge-Newton. . . . . . . . 1,580,414 1,626,712 1,559,249 1,601,118 47,019 53,836 45,730 50,100 3.0 3.3 2.9 3.1

Brockton-Bridgewater-Easton. . . . . . 104,951 107,747 104,368 106,428 4,224 4,826 4,038 4,320 4.0 4.5 3.9 4.1

Framingham. . . . . . . . . . . . . . . . . . . . . 156,022 159,505 153,475 156,673 4,429 5,161 4,281 4,711 2.8 3.2 2.8 3.0

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 114,593 116,788 113,072 114,643 3,651 3,839 3,496 3,550 3.2 3.3 3.1 3.1

Lawrence-Methuen Town-Salem2.. . 95,901 97,578 94,860 95,622 4,365 4,790 4,300 4,506 4.6 4.9 4.5 4.7

Lowell-Billerica-Chelmsford2. . . . . . . 186,719 190,394 183,904 186,837 6,606 7,255 6,347 6,578 3.5 3.8 3.5 3.5

Lynn-Saugus-Marblehead. . . . . . . . . 83,508 85,343 82,502 84,119 2,869 3,151 2,882 2,955 3.4 3.7 3.5 3.5

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,351 171,081 168,833 169,603 5,283 5,026 4,853 4,850 3.1 2.9 2.9 2.9

Peabody-Salem-Beverly. . . . . . . . . . . 90,035 92,266 89,374 91,365 2,889 3,189 2,814 3,055 3.2 3.5 3.1 3.3

Taunton-Middleborough-Norton. . . . 82,407 84,073 81,636 82,734 3,198 3,530 3,007 3,177 3.9 4.2 3.7 3.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,874,284 4,883,648 4,860,874 4,898,001 254,249 226,281 233,070 218,842 5.2 4.6 4.8 4.5

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,095,235 2,107,495 2,095,472 2,116,392 127,250 93,032 118,095 93,658 6.1 4.4 5.6 4.4

Detroit-Dearborn-Livonia. . . . . . . . . . 784,624 788,231 785,017 792,605 57,929 43,161 53,641 44,073 7.4 5.5 6.8 5.6

Warren-Troy-Farmington Hills. . . . . . 1,310,611 1,319,265 1,310,453 1,323,787 69,321 49,871 64,453 49,585 5.3 3.8 4.9 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,627,104 9,728,580 9,554,863 9,738,070 474,278 472,617 471,384 461,203 4.9 4.9 4.9 4.7

New York-Newark-Jersey City2. . . . . . 10,046,939 10,160,353 9,968,188 10,125,813 503,205 488,276 490,139 478,483 5.0 4.8 4.9 4.7

Dutchess County-Putnam County.. . 194,680 196,755 191,872 194,670 8,011 8,325 8,249 8,433 4.1 4.2 4.3 4.3

Nassau County-Suffolk County. . . . . 1,490,889 1,500,309 1,467,843 1,494,481 62,551 66,394 62,418 63,011 4.2 4.4 4.3 4.2

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,250,788 1,242,934 1,238,398 1,229,495 63,530 60,481 61,357 59,944 5.1 4.9 5.0 4.9

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,110,582 7,220,355 7,070,075 7,207,167 369,113 353,076 358,115 347,095 5.2 4.9 5.1 4.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,509,403 6,444,680 6,474,896 6,404,607 381,313 329,298 345,629 282,627 5.9 5.1 5.3 4.4

Philadelphia-Camden-Wilmington2. . . . 3,097,873 3,100,696 3,088,499 3,088,202 170,559 158,295 158,396 142,998 5.5 5.1 5.1 4.6

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 637,510 640,427 635,502 639,079 33,221 31,865 31,718 31,269 5.2 5.0 5.0 4.9

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,081,760 1,080,116 1,070,919 1,068,822 50,498 44,933 45,655 39,126 4.7 4.2 4.3 3.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,003,295 999,120 1,009,406 1,000,594 68,780 61,420 64,110 54,810 6.9 6.1 6.4 5.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . 375,308 381,033 372,672 379,707 18,060 20,077 16,913 17,793 4.8 5.3 4.5 4.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,295,171 13,406,493 13,359,661 13,499,113 656,216 604,778 646,980 543,637 4.9 4.5 4.8 4.0

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,699,756 3,770,671 3,720,102 3,806,292 150,287 146,742 148,645 128,090 4.1 3.9 4.0 3.4

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,493,990 2,544,656 2,507,695 2,567,799 99,078 98,324 98,401 86,079 4.0 3.9 3.9 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . 1,205,766 1,226,015 1,212,407 1,238,493 51,209 48,418 50,244 42,011 4.2 3.9 4.1 3.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,658,770 3,742,152 3,666,453 3,774,386 193,627 168,196 185,885 165,289 5.3 4.5 5.1 4.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,033,624 2,076,109 2,041,588 2,091,771 90,376 86,086 90,341 87,227 4.4 4.1 4.4 4.2

Seattle-Bellevue-Everett. . . . . . . . . . . 1,629,635 1,655,041 1,636,498 1,668,102 64,757 65,246 66,044 66,919 4.0 3.9 4.0 4.0

Tacoma-Lakewood. . . . . . . . . . . . . . . 403,989 421,068 405,090 423,669 25,619 20,840 24,297 20,308 6.3 4.9 6.0 4.8

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

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

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

p Preliminary

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

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

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

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

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

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,975.7 2,004.5 1,983.2 2,011.6 28.4 1.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 46.3 46.1 46.0 -0.1 -0.2

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 65.0 64.1 65.5 1.4 2.2

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521.4 526.6 522.1 525.2 3.1 0.6

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.4 76.5 72.9 76.8 3.9 5.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 54.1 53.5 54.0 0.5 0.9

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.9 57.9 57.6 58.2 0.6 1.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 57.4 57.3 57.4 0.1 0.2

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.8 38.0 38.9 0.9 2.4

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.5 231.9 227.3 233.1 5.8 2.6

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.3 178.1 179.1 178.5 -0.6 -0.3

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.1 174.8 173.8 173.7 -0.1 -0.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2 108.0 106.3 109.3 3.0 2.8

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.8 353.4 342.1 342.6 0.5 0.1

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.6 182.0 181.8 182.0 0.2 0.1

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.5 39.2 38.7 -0.5 -1.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,686.1 2,725.8 2,726.3 2,762.2 35.9 1.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 67.0 68.8 69.2 0.4 0.6

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.4 49.2 48.1 49.2 1.1 2.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,961.7 1,999.7 1,988.2 2,022.6 34.4 1.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 62.7 63.0 63.2 0.2 0.3

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1 34.3 34.5 35.3 0.8 2.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366.0 366.2 376.8 374.5 -2.3 -0.6

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 53.8 53.6 54.3 0.7 1.3

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,218.7 1,242.8 1,237.4 1,258.3 20.9 1.7

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.0 252.5 249.3 255.6 6.3 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.1 112.6 114.6 114.4 -0.2 -0.2

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 38.5 37.6 38.4 0.8 2.1

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 56.5 56.6 57.3 0.7 1.2

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.8 353.9 355.3 357.1 1.8 0.5

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.0 32.6 33.7 33.2 -0.5 -1.5

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,462.4 16,721.6 16,549.2 16,807.1 257.9 1.6

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.0 256.5 255.0 259.0 4.0 1.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.4 82.3 81.6 83.0 1.4 1.7

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 51.7 51.2 52.0 0.8 1.6

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 335.2 340.2 339.5 343.9 4.4 1.3

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 40.1 39.6 40.4 0.8 2.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,939.8 5,982.7 5,983.6 6,040.1 56.5 0.9

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 38.5 37.7 38.8 1.1 2.9

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.3 65.7 67.2 67.7 0.5 0.7

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.1 180.9 176.0 180.4 4.4 2.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.8 74.3 72.3 75.4 3.1 4.3

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297.2 306.9 299.4 308.4 9.0 3.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.1 68.5 66.3 68.3 2.0 3.0

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,391.8 1,426.3 1,401.0 1,436.1 35.1 2.5

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 954.1 969.3 955.2 970.7 15.5 1.6

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.7 138.4 137.9 140.6 2.7 2.0

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,425.0 1,444.7 1,427.3 1,443.4 16.1 1.1

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,351.5 2,391.1 2,356.6 2,390.1 33.5 1.4

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,076.9 1,090.0 1,074.4 1,089.1 14.7 1.4

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 111.5 113.4 113.5 114.6 1.1 1.0

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.6 102.5 99.6 101.1 1.5 1.5

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.1 182.3 179.6 182.0 2.4 1.3

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.4 203.6 204.6 206.6 2.0 1.0

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.1 230.3 229.3 230.1 0.8 0.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.9 137.1 136.6 138.4 1.8 1.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.6 127.2 125.2 127.2 2.0 1.6

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 44.0 43.6 43.9 0.3 0.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,618.3 2,663.8 2,618.4 2,662.5 44.1 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

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.0 188.1 186.0 192.8 6.8 3.7

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.8 285.1 282.5 285.7 3.2 1.1

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,446.4 1,471.3 1,443.3 1,464.2 20.9 1.4

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.3 169.9 164.3 169.7 5.4 3.3

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 61.5 61.9 62.0 0.1 0.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.9 102.7 100.0 103.6 3.6 3.6

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 61.6 62.1 62.5 0.4 0.6

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,671.7 1,680.7 1,681.6 1,682.2 0.6 0.0

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.2 413.6 410.8 411.9 1.1 0.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.1 78.9 78.9 79.6 0.7 0.9

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563.0 566.3 572.7 572.3 -0.4 -0.1

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.1 280.3 283.6 286.4 2.8 1.0

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.2 131.0 129.9 130.4 0.5 0.4

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 66.4 67.4 67.1 -0.3 -0.4

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455.9 458.7 455.2 457.6 2.4 0.5

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 68.6 69.2 69.5 0.3 0.4

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.7 171.6 162.1 164.0 1.9 1.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771.9 786.5 784.0 789.5 5.5 0.7

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,227.3 3,294.4 3,241.5 3,286.0 44.5 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,371.2 8,589.3 8,402.0 8,481.3 79.3 0.9

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.2 254.5 255.4 248.6 -6.8 -2.7

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.9 116.2 111.5 113.0 1.5 1.3

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197.5 201.1 198.6 198.3 -0.3 -0.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.0 140.4 142.1 144.0 1.9 1.3

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 32.9 33.0 32.8 -0.2 -0.6

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.7 687.3 674.1 677.0 2.9 0.4

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.8 220.6 215.3 219.8 4.5 2.1

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,573.6 2,636.3 2,585.7 2,605.2 19.5 0.8

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.7 142.8 139.8 140.0 0.2 0.1

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291.4 306.3 292.5 300.6 8.1 2.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.9 102.8 101.2 102.8 1.6 1.6

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,210.4 1,250.1 1,214.7 1,239.6 24.9 2.0

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.8 216.4 211.7 213.0 1.3 0.6

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.2 86.0 83.8 84.8 1.0 1.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.5 177.6 174.4 176.5 2.1 1.2

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.8 145.9 142.9 143.5 0.6 0.4

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 48.5 47.1 48.6 1.5 3.2

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 50.9 49.8 50.9 1.1 2.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.4 26.6 25.7 26.9 1.2 4.7

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.4 180.1 180.0 181.7 1.7 0.9

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,296.9 1,337.6 1,300.8 1,318.1 17.3 1.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.1 28.1 27.2 28.2 1.0 3.7

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,390.5 4,493.3 4,405.4 4,485.2 79.8 1.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.2 61.9 62.3 62.2 -0.1 -0.2

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.6 96.7 94.5 98.5 4.0 4.2

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,675.3 2,757.9 2,684.6 2,752.9 68.3 2.5

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.4 240.8 234.2 240.1 5.9 2.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 44.7 44.2 43.7 -0.5 -1.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.2 121.1 121.0 121.0 0.0 0.0

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.2 70.7 70.1 70.8 0.7 1.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 90.0 87.7 89.5 1.8 2.1

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.2 20.6 20.3 20.5 0.2 1.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.8 103.2 103.0 103.0 0.0 0.0

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.7 41.4 41.1 41.1 0.0 0.0

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.6 181.8 175.7 180.0 4.3 2.4

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.9 56.5 56.5 56.8 0.3 0.5

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.1 73.8 73.3 74.4 1.1 1.5

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643.3 646.9 648.8 656.5 7.7 1.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 76.6 74.2 76.2 2.0 2.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.9 473.0 477.3 482.8 5.5 1.2

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 702.1 717.8 707.9 721.7 13.8 1.9

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.9 320.2 310.4 320.6 10.2 3.3

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 64.7 63.4 63.6 0.2 0.3

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 64.8 64.6 65.1 0.5 0.8

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 29.6 29.1 29.7 0.6 2.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.0 35.9 35.9 36.6 0.7 1.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,029.8 6,055.2 6,057.0 6,069.3 12.3 0.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.3 93.3 93.7 95.1 1.4 1.5

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 58.2 58.8 60.0 1.2 2.0

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 104.0 111.0 110.5 -0.5 -0.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,685.1 4,711.5 4,687.2 4,698.5 11.3 0.2

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 27.9 28.5 28.2 -0.3 -1.1

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.3 184.7 183.9 183.8 -0.1 -0.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.3 51.2 51.4 51.3 -0.1 -0.2

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.9 44.4 45.4 1.0 2.3

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.6 176.7 176.1 175.6 -0.5 -0.3

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.4 151.4 151.7 151.0 -0.7 -0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.1 119.1 116.4 115.9 -0.5 -0.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,086.7 3,131.1 3,123.9 3,162.4 38.5 1.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.0 73.8 78.7 79.3 0.6 0.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 54.6 52.3 54.3 2.0 3.8

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.5 140.1 132.3 139.2 6.9 5.2

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.4 161.4 159.9 162.3 2.4 1.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.6 223.2 221.4 223.2 1.8 0.8

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,053.5 1,076.6 1,056.3 1,081.0 24.7 2.3

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 43.6 42.0 43.4 1.4 3.3

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.6 102.8 105.6 107.8 2.2 2.1

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 40.3 41.8 40.8 -1.0 -2.4

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.5 50.5 52.7 52.5 -0.2 -0.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.1 137.7 143.9 141.1 -2.8 -1.9

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.7 72.4 71.8 72.6 0.8 1.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,566.3 1,583.1 1,579.4 1,592.2 12.8 0.8

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 51.2 54.3 55.5 1.2 2.2

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.3 144.4 143.6 145.3 1.7 1.2

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.0 370.5 359.7 366.2 6.5 1.8

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 58.8 59.9 60.0 0.1 0.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.1 103.8 102.0 105.1 3.1 3.0

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.1 87.7 88.1 88.2 0.1 0.1

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.3 89.0 91.5 91.6 0.1 0.1

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,396.0 1,392.2 1,418.5 1,414.7 -3.8 -0.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.5 51.3 55.8 54.8 -1.0 -1.8

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 41.1 46.0 45.1 -0.9 -2.0

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.1 113.9 113.5 114.2 0.7 0.6

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294.7 297.5 296.9 301.9 5.0 1.7

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,916.9 1,949.0 1,924.2 1,953.5 29.3 1.5

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.8 76.4 76.3 77.4 1.1 1.4

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 58.8 57.4 58.3 0.9 1.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.0 281.0 278.0 282.7 4.7 1.7

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664.1 675.6 665.2 676.4 11.2 1.7

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 53.8 53.5 54.0 0.5 0.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,950.6 1,973.4 1,967.3 1,980.7 13.4 0.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.1 62.5 63.0 62.4 -0.6 -1.0

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 406.7 405.4 411.6 6.2 1.5

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.5 45.5 45.6 0.1 0.2

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 86.0 87.4 85.1 -2.3 -2.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.1 198.9 199.9 198.6 -1.3 -0.7

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.5 114.6 110.3 114.8 4.5 4.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 79.3 78.9 79.2 0.3 0.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573.5 574.5 575.1 575.7 0.6 0.1

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.3 178.1 179.9 178.5 -1.4 -0.8

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.5 640.1 630.5 633.7 3.2 0.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 66.1 67.1 67.1 0.0 0.0

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.2 51.2 51.9 0.7 1.4

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.3 212.8 205.0 208.1 3.1 1.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,718.0 2,782.6 2,725.4 2,782.9 57.5 2.1

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,396.2 1,413.3 1,402.5 1,414.8 12.3 0.9

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.7 45.1 45.6 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.8 38.5 39.4 39.3 -0.1 -0.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.6 106.5 107.2 106.9 -0.3 -0.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,583.7 3,651.3 3,587.9 3,649.3 61.4 1.7

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.0 123.0 109.9 113.0 3.1 2.8

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,710.6 2,776.9 2,714.9 2,774.6 59.7 2.2

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 52.3 51.9 52.6 0.7 1.3

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 70.1 67.9 70.7 2.8 4.1

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.3 43.9 42.1 42.8 0.7 1.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329.4 334.3 334.8 341.8 7.0 2.1

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.9 285.3 284.6 287.4 2.8 1.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,316.7 4,390.9 4,365.5 4,424.3 58.8 1.3

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.2 217.5 219.8 225.2 5.4 2.5

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 59.8 59.4 59.9 0.5 0.8

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.3 35.9 36.7 36.3 -0.4 -1.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,974.8 2,018.5 1,987.7 2,022.7 35.0 1.8

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.2 140.1 141.1 141.2 0.1 0.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541.2 554.1 547.2 561.0 13.8 2.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 58.4 58.0 58.3 0.3 0.5

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.7 148.0 147.9 151.3 3.4 2.3

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.2 227.5 234.0 236.4 2.4 1.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 37.5 38.0 37.7 -0.3 -0.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 42.1 42.9 43.4 0.5 1.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 64.1 63.8 64.5 0.7 1.1

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 64.0 63.1 63.6 0.5 0.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.3 88.9 89.5 90.4 0.9 1.0

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,924.6 2,975.2 2,923.2 2,964.6 41.4 1.4

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134.8 137.8 136.6 138.4 1.8 1.3

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 56.4 57.5 58.3 0.8 1.4

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,978.5 2,021.8 1,978.3 2,020.9 42.6 2.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.7 122.2 119.4 120.4 1.0 0.8

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.6 110.3 108.9 110.5 1.6 1.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,140.9 1,151.4 1,149.6 1,155.8 6.2 0.5

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.6 155.7 154.8 155.1 0.3 0.2

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.1 64.0 64.7 0.7 1.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.7 279.7 278.9 279.7 0.8 0.3

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,834.9 2,886.7 2,861.3 2,902.3 41.0 1.4

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.7 41.6 44.3 41.6 -2.7 -6.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.4 98.4 99.7 102.7 3.0 3.0

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 76.4 77.7 77.4 -0.3 -0.4

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 80.2 80.4 82.3 1.9 2.4

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.5 1,083.3 1,077.5 1,090.5 13.0 1.2

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 62.9 63.9 63.1 -0.8 -1.3

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,361.4 1,369.2 1,370.2 1,382.5 12.3 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.3 211.0 211.5 216.6 5.1 2.4

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.9 483.8 474.3 482.0 7.7 1.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.2 86.9 86.0 87.0 1.0 1.2

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.5 36.2 36.2 36.3 0.1 0.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 60.5 61.4 62.4 1.0 1.6

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013.5 1,029.5 1,019.0 1,033.3 14.3 1.4

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 42.6 42.8 43.0 0.2 0.5

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.7 191.7 189.2 192.6 3.4 1.8

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 498.4 507.7 499.2 509.0 9.8 2.0

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,303.8 1,346.5 1,316.5 1,352.6 36.1 2.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.0 29.2 28.9 29.1 0.2 0.7

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949.6 979.6 960.1 983.5 23.4 2.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.4 226.5 225.2 229.5 4.3 1.9

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.2 685.9 674.3 681.1 6.8 1.0

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 54.1 54.3 54.9 0.6 1.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.6 112.3 111.1 113.1 2.0 1.8

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.5 93.1 92.6 91.8 -0.8 -0.9

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,087.0 4,146.2 4,102.8 4,133.6 30.8 0.8

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.5 135.4 132.5 134.1 1.6 1.2

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 56.6 47.8 50.4 2.6 5.4

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.3 268.1 264.6 266.8 2.2 0.8

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 59.3 58.8 60.9 2.1 3.6

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 828.9 837.9 833.1 839.9 6.8 0.8

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.9 392.2 390.7 395.4 4.7 1.2

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.4 46.9 48.2 48.1 -0.1 -0.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 72.4 72.6 72.7 0.1 0.1

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 64.8 63.5 63.6 0.1 0.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,394.6 9,545.5 9,420.0 9,509.1 89.1 0.9

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 462.5 465.0 464.1 465.0 0.9 0.2

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.6 103.2 104.5 104.9 0.4 0.4

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 560.3 561.4 564.9 561.4 -3.5 -0.6

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.6 36.6 37.3 36.7 -0.6 -1.6

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 59.8 56.2 57.1 0.9 1.6

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 61.9 63.8 66.4 2.6 4.1

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.2 61.9 62.3 62.7 0.4 0.6

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,516.9 9,666.3 9,544.2 9,630.2 86.0 0.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526.7 525.2 532.3 529.0 -3.3 -0.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.5 316.1 317.7 319.1 1.4 0.4

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.0 128.9 127.2 128.0 0.8 0.6

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.9 44.0 43.0 43.6 0.6 1.4

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,347.9 4,417.9 4,370.7 4,431.8 61.1 1.4

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.7 190.0 189.0 190.6 1.6 0.8

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 61.9 61.7 62.3 0.6 1.0

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,148.7 1,178.1 1,158.0 1,182.7 24.7 2.1

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.0 311.9 304.6 312.8 8.2 2.7

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.2 129.7 129.9 131.4 1.5 1.2

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.1 41.7 41.4 -0.3 -0.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.3 361.3 359.1 362.5 3.4 0.9

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 78.6 80.2 79.1 -1.1 -1.4

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.4 152.1 151.1 151.8 0.7 0.5

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.0 49.5 49.1 49.5 0.4 0.8

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.7 44.8 45.2 0.4 0.9

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 605.3 625.2 606.4 624.2 17.8 2.9

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 55.3 57.2 56.8 -0.4 -0.7

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.5 128.3 125.1 128.0 2.9 2.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.8 261.3 262.3 263.3 1.0 0.4

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433.8 440.3 439.7 444.3 4.6 1.0

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.4 72.8 74.0 73.2 -0.8 -1.1

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.5 142.5 142.8 145.2 2.4 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

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 55.6 58.9 58.0 -0.9 -1.5

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,510.2 5,571.0 5,513.9 5,583.3 69.4 1.3

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 337.6 336.4 343.0 340.8 -2.2 -0.6

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.7 172.4 172.6 171.4 -1.2 -0.7

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,084.6 1,115.5 1,087.8 1,112.9 25.1 2.3

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,064.7 1,072.4 1,057.1 1,069.1 12.0 1.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.2 1,091.4 1,070.3 1,095.7 25.4 2.4

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384.8 389.1 386.2 387.3 1.1 0.3

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.5 52.9 52.8 -0.1 -0.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.2 53.4 53.0 53.2 0.2 0.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.6 50.1 50.8 0.7 1.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.4 312.7 312.8 313.8 1.0 0.3

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 41.4 42.3 41.7 -0.6 -1.4

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.5 222.0 225.7 221.1 -4.6 -2.0

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,640.2 1,659.4 1,651.7 1,667.2 15.5 0.9

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 28.7 27.7 28.6 0.9 3.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 45.8 45.6 45.6 0.0 0.0

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.6 634.1 629.5 637.3 7.8 1.2

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440.2 443.6 443.0 444.7 1.7 0.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,832.5 1,881.6 1,846.4 1,883.5 37.1 2.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 44.3 43.8 44.9 1.1 2.5

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 82.8 80.6 82.4 1.8 2.2

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.3 39.3 40.8 40.9 0.1 0.2

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.3 156.7 156.6 158.6 2.0 1.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.4 26.2 26.2 26.6 0.4 1.5

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.8 85.6 85.8 87.3 1.5 1.7

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,144.4 1,176.9 1,151.4 1,178.7 27.3 2.4

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.3 162.0 163.5 165.0 1.5 0.9

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,855.2 5,939.4 5,924.5 5,986.2 61.7 1.0

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.6 362.4 366.6 364.4 -2.2 -0.6

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 61.3 61.5 60.8 -0.7 -1.1

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.9 42.9 43.2 0.3 0.7

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 59.9 59.7 60.6 0.9 1.5

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.0 58.2 57.8 58.8 1.0 1.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.7 129.1 130.0 130.6 0.6 0.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1 35.0 35.1 35.7 0.6 1.7

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.6 350.2 340.0 346.8 6.8 2.0

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 55.5 56.1 55.8 -0.3 -0.5

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249.8 255.0 252.2 256.7 4.5 1.8

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.4 52.0 51.9 -0.1 -0.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,852.8 2,907.4 2,886.5 2,927.2 40.7 1.4

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,159.4 1,171.6 1,168.1 1,185.3 17.2 1.5

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.8 179.3 178.1 180.6 2.5 1.4

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.9 260.6 261.9 263.6 1.7 0.6

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.4 74.9 78.7 78.3 -0.4 -0.5

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 52.3 53.5 53.3 -0.2 -0.4

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.4 183.4 184.7 184.7 0.0 0.0

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 490.7 501.3 494.7 499.0 4.3 0.9

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 582.5 591.9 588.9 591.4 2.5 0.4

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,061.4 2,095.2 2,065.7 2,093.5 27.8 1.3

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347.7 353.6 348.1 353.2 5.1 1.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.4 394.9 395.5 396.4 0.9 0.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.5 88.7 87.9 88.8 0.9 1.0

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.7 413.4 410.1 415.8 5.7 1.4

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.3 79.6 77.0 77.2 0.2 0.3

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.4 170.7 163.4 166.0 2.6 1.6

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.3 151.1 148.4 152.2 3.8 2.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 39.0 39.2 38.5 -0.7 -1.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439.6 444.3 436.6 439.0 2.4 0.5

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.3 72.6 68.2 69.1 0.9 1.3

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.6 155.9 153.4 154.9 1.5 1.0

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,966.8 3,017.7 2,994.7 3,037.3 42.6 1.4

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.1 258.7 253.6 259.2 5.6 2.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.8 89.2 89.7 89.8 0.1 0.1

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.7 48.9 47.7 49.1 1.4 2.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 69.2 68.8 69.3 0.5 0.7

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.4 79.3 80.1 81.4 1.3 1.6

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.4 122.4 123.3 122.7 -0.6 -0.5

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.4 393.7 397.8 398.7 0.9 0.2

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637.2 646.5 639.6 646.1 6.5 1.0

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 46.2 46.0 47.0 1.0 2.2

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 954.5 983.2 961.1 991.0 29.9 3.1

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,001.2 12,282.0 12,051.0 12,307.2 256.2 2.1

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 67.4 68.0 68.0 0.0 0.0

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.3 121.0 119.7 121.0 1.3 1.1

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 997.8 1,019.8 1,004.6 1,028.1 23.5 2.3

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.3 161.4 163.9 160.3 -3.6 -2.2

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.5 142.7 141.4 142.6 1.2 0.8

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.8 113.6 115.1 119.0 3.9 3.4

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.3 195.2 189.3 194.8 5.5 2.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,516.2 3,608.4 3,530.4 3,624.0 93.6 2.7

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.8 316.2 311.3 319.6 8.3 2.7

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,984.3 3,029.6 2,994.1 3,013.6 19.5 0.7

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.8 147.8 144.8 147.6 2.8 1.9

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.8 103.8 102.7 104.2 1.5 1.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.2 96.7 96.4 96.9 0.5 0.5

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.3 147.8 145.7 147.7 2.0 1.4

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249.8 254.8 252.5 255.5 3.0 1.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.6 88.5 86.8 89.1 2.3 2.6

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 69.5 69.3 70.7 1.4 2.0

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.7 48.4 48.5 48.2 -0.3 -0.6

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,018.6 1,043.9 1,023.5 1,046.3 22.8 2.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 47.5 46.3 47.1 0.8 1.7

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 59.1 60.7 60.0 -0.7 -1.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.4 106.6 104.7 106.5 1.8 1.7

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 42.1 42.1 41.8 -0.3 -0.7

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.4 119.0 119.5 118.6 -0.9 -0.8

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 57.4 57.1 57.5 0.4 0.7

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,425.2 1,465.4 1,446.0 1,481.1 35.1 2.4

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 58.6 60.7 62.1 1.4 2.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.2 255.4 250.7 254.7 4.0 1.6

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.6 243.4 242.5 249.9 7.4 3.1

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 64.6 62.2 65.5 3.3 5.3

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 702.0 717.8 707.6 723.4 15.8 2.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.9 313.4 315.2 317.6 2.4 0.8

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.5 123.7 126.1 126.7 0.6 0.5

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,921.2 3,972.4 3,939.0 3,973.2 34.2 0.9

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.8 77.6 79.6 80.6 1.0 1.3

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5 114.4 116.6 118.6 2.0 1.7

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 66.5 67.8 68.9 1.1 1.6

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 103.3 104.8 104.4 -0.4 -0.4

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 664.1 679.7 667.3 677.8 10.5 1.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.6 164.1 162.8 165.2 2.4 1.5

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 51.0 50.6 51.2 0.6 1.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 779.4 775.3 776.8 767.1 -9.7 -1.2

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 63.2 62.4 63.4 1.0 1.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,256.7 3,332.3 3,280.7 3,348.4 67.7 2.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.1 91.2 91.3 93.5 2.2 2.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.1 89.4 89.1 89.6 0.5 0.6

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.3 112.5 112.6 113.1 0.5 0.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.5 39.6 39.7 39.9 0.2 0.5

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.9 51.3 49.8 51.3 1.5 3.0

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5 115.5 114.7 116.1 1.4 1.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,964.9 2,015.1 1,972.0 2,017.6 45.6 2.3

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.4 242.4 243.7 246.0 2.3 0.9

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.6 27.2 27.5 27.8 0.3 1.1

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 46.8 45.4 46.9 1.5 3.3

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.9 85.9 84.8 86.4 1.6 1.9

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739.0 742.1 749.2 751.2 2.0 0.3

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 44.5 45.5 44.9 -0.6 -1.3

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 119.8 118.7 119.9 1.2 1.0

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.3 137.0 139.0 138.9 -0.1 -0.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 69.8 71.0 72.4 1.4 2.0

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.5 39.9 40.7 39.9 -0.8 -2.0

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 66.1 66.3 66.4 0.1 0.2

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,946.4 2,977.5 2,941.9 2,975.5 33.6 1.1

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 129.9 125.1 128.7 3.6 2.9

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.9 84.6 86.6 85.4 -1.2 -1.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.8 48.7 48.6 48.9 0.3 0.6

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.5 178.4 177.2 177.5 0.3 0.2

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 69.9 67.6 69.8 2.2 3.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 78.8 78.6 79.6 1.0 1.3

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 401.9 398.9 405.1 6.2 1.6

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869.7 868.6 866.3 867.5 1.2 0.1

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.0 96.5 97.3 97.2 -0.1 -0.1

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 78.9 77.6 78.1 0.5 0.6

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 63.2 62.4 62.6 0.2 0.3

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.7 73.2 72.3 73.3 1.0 1.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.5 285.2 284.1 281.8 -2.3 -0.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 38.6 38.4 38.7 0.3 0.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.9 47.4 46.3 47.2 0.9 1.9

Puerto Rico3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 878.6 868.0 890.9 – – –

Aguadilla-Isabela3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.0 50.9 – – –

Arecibo3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 32.2 33.8 – – –

Guayama3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.0 14.6 15.3 – – –

Mayaguez3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 33.6 33.7 – – –

Ponce3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.6 68.3 70.6 – – –

San German3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.0 20.3 21.0 – – –

San Juan-Carolina-Caguas3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 635.8 627.6 645.3 – – –

Virgin Islands3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.6 37.5 – – –

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

the first principal city.

2 Area boundary does not reflect official OMB delineation.

3 Data not available for September 2017. Given the lack of adequate sample data, reliable September 2017 estimates for Puerto Rico and the U.S Virgin Islands cannot be

produced at this time.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes

available. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

August September

Change from

September 2016 to September

2017p

2016 2017 2016 2017p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,462.4 16,721.6 16,549.2 16,807.1 257.9 1.6

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,939.8 5,982.7 5,983.6 6,040.1 56.5 0.9

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,573.3 1,577.6 1,585.8 1,591.5 5.7 0.4

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,366.5 4,405.1 4,397.8 4,448.6 50.8 1.2

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,351.5 2,391.1 2,356.6 2,390.1 33.5 1.4

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,134.7 1,153.3 1,140.0 1,152.2 12.2 1.1

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,101.6 1,120.5 1,101.7 1,120.6 18.9 1.7

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.2 117.3 114.9 117.3 2.4 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771.9 786.5 784.0 789.5 5.5 0.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,227.3 3,294.4 3,241.5 3,286.0 44.5 1.4

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.6 608.3 595.4 606.8 11.4 1.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,632.7 2,686.1 2,646.1 2,679.2 33.1 1.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,371.2 8,589.3 8,402.0 8,481.3 79.3 0.9

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,573.6 2,636.3 2,585.7 2,605.2 19.5 0.8

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 818.1 844.0 820.9 833.9 13.0 1.6

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,153.7 1,175.1 1,159.6 1,161.5 1.9 0.2

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 601.8 617.2 605.2 609.8 4.6 0.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,029.8 6,055.2 6,057.0 6,069.3 12.3 0.2

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,685.1 4,711.5 4,687.2 4,698.5 11.3 0.2

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,738.2 3,758.3 3,734.7 3,745.8 11.1 0.3

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.1 254.8 258.0 256.1 -1.9 -0.7

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275.2 274.9 280.6 277.5 -3.1 -1.1

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 416.6 423.5 413.9 419.1 5.2 1.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,583.7 3,651.3 3,587.9 3,649.3 61.4 1.7

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,710.6 2,776.9 2,714.9 2,774.6 59.7 2.2

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,824.5 1,874.4 1,824.3 1,871.9 47.6 2.6

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 80.9 81.1 81.8 0.7 0.9

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.4 176.5 173.4 175.8 2.4 1.4

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 69.2 67.2 69.1 1.9 2.8

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.4 84.6 83.6 83.5 -0.1 -0.1

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.9 156.6 154.6 156.0 1.4 0.9

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.4 45.4 46.4 1.0 2.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.7 129.8 128.0 131.2 3.2 2.5

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.6 97.8 96.9 98.4 1.5 1.5

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 60.7 60.4 60.5 0.1 0.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,316.7 4,390.9 4,365.5 4,424.3 58.8 1.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,974.8 2,018.5 1,987.7 2,022.7 35.0 1.8

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 742.1 760.1 749.1 763.0 13.9 1.9

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,232.7 1,258.4 1,238.6 1,259.7 21.1 1.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,394.6 9,545.5 9,420.0 9,509.1 89.1 0.9

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,516.9 9,666.3 9,544.2 9,630.2 86.0 0.9

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.3 147.7 145.2 145.7 0.5 0.3

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,336.7 1,345.2 1,334.7 1,343.5 8.8 0.7

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,192.5 1,194.5 1,196.4 1,195.2 -1.2 -0.1

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,842.4 6,978.9 6,867.9 6,945.8 77.9 1.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,855.2 5,939.4 5,924.5 5,986.2 61.7 1.0

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,852.8 2,907.4 2,886.5 2,927.2 40.7 1.4

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527.6 534.6 532.3 539.3 7.0 1.3

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,050.1 1,071.7 1,053.2 1,070.6 17.4 1.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 919.5 938.6 943.0 953.4 10.4 1.1

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.6 362.5 358.0 363.9 5.9 1.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,001.2 12,282.0 12,051.0 12,307.2 256.2 2.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,516.2 3,608.4 3,530.4 3,624.0 93.6 2.7

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,506.9 2,574.3 2,516.8 2,583.9 67.1 2.7

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,009.3 1,034.1 1,013.6 1,040.1 26.5 2.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,256.7 3,332.3 3,280.7 3,348.4 67.7 2.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,964.9 2,015.1 1,972.0 2,017.6 45.6 2.3

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,656.9 1,697.1 1,660.6 1,698.8 38.2 2.3

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308.0 318.0 311.4 318.8 7.4 2.4

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

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

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

city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan

areas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
Map 1. Unemployment rates for metropolitan areas, not seasonally ad

September 2017

(U.S. rate = 4.1 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, September 2017

(U.S. average = 1.2 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.