For release 10:00 a.m. (EST) Thursday, November 30, 2017 USDL-17-1573 

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 — OCTOBER 2017

Unemployment rates were lower in October than a year earlier in 341 of the 388 metropolitan areas,

higher in 33 areas, and unchanged in 14 areas, the U.S. Bureau of Labor Statistics reported today. 

Seventy-four 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 307 metropolitan areas, decreased in 

74 areas, and was unchanged in 7 areas. The national unemployment rate in October was 3.9 percent, 

not seasonally adjusted, down from 4.7 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted)

In October, Ames, IA, had the lowest unemployment rate, 1.4 percent, closely followed by Columbia, 

MO, 1.5 percent. El Centro, CA, and Yuma, AZ, had the highest unemployment rates, 20.9 percent and 

18.0 percent, respectively. A total of 191 areas had October jobless rates below the U.S. rate of 3.9 

percent, 181 areas had rates above it, and 16 areas had rates equal to that of the nation. (See table 1 and 

map 1.) 

El Centro, CA, had the largest over-the-year unemployment rate decrease in October (-4.0 percentage 

points). An additional 158 areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Pittsfield, MA (+0.7 percentage point).

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Minneapolis-St. PaulBloomington, MN-WI, and Nashville-Davidson—Murfreesboro—Franklin, TN, had the lowest 

unemployment rates in October, 2.3 percent each. Cleveland-Elyria, OH, had the highest jobless rate 

among the large areas, 5.2 percent, closely followed by Las Vegas-Henderson-Paradise, NV, 5.1 

percent. Forty-seven large areas had over-the-year unemployment rate decreases and four had increases. 

The largest rate decrease occurred in Birmingham-Hoover, AL (-2.7 percentage points). The largest 

over-the-year rate increase was in Boston-Cambridge-Nashua, MA-NH (+0.4 percentage point). 
- 2 - 

Data for Puerto Rico and the U.S. Virgin Islands 

The Puerto Rico household survey was conducted for the October 2017 reference period. However, 

the response rate was below average, in part as a result of difficulties accessing some remote areas 

that were significantly affected by Hurricanes Irma and Maria. As more information becomes 

available, the October estimates for Puerto Rico and its metropolitan areas published in table 1 of this 

news release may be subject to special revision. Due to the devastation caused by the hurricanes, the 

Puerto Rico household survey was not conducted for September.

Response rates for the October 2017 establishment survey were lower than average in Puerto Rico. In 

addition, a modification was made to the October estimation process that accounts for business births 

and deaths. As of this release, a sufficient amount of establishment data was collected to produce 

final estimates for September and preliminary estimates for October. 

The U.S. Virgin Islands was not able to administer its establishment survey in September or October 

2017. 

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. 

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 October, San Francisco-Redwood City-South 

San Francisco, CA, and San Rafael, CA, had the lowest unemployment rates among the divisions, 2.6 

percent each. Detroit-Dearborn-Livonia, MI, and Philadelphia, PA, had the highest division rates, 5.2 

percent each. (See table 2.)

In October, 22 metropolitan divisions had over-the-year unemployment rate decreases, 13 had increases, 

and 3 had no change. The largest rate decline occurred in Detroit-Dearborn-Livonia, MI (-1.8 percentage 

points). The largest over-the-year jobless rate increases occurred in Brockton-Bridgewater-Easton, MA, 

and Taunton-Middleborough-Norton, MA (+0.5 percentage point each). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In October, 307 metropolitan areas had over-the-year increases in nonfarm payroll employment, 74 had 

decreases, and 7 had no change. The largest over-the-year employment increases occurred in Dallas-Fort 

Worth-Arlington, TX (+94,400), New York-Newark-Jersey City, NY-NJ-PA (+91,300), and AtlantaSandy Springs-Roswell, GA (+65,800). The largest over-the-year percentage gains in employment 

occurred in Ocean City, NJ (+5.9 percent), Daphne-Fairhope-Foley, AL (+5.5 percent), and AuburnOpelika, AL, and Elkhart-Goshen, IN (+5.2 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 (-9,100), followed by Tucson, AZ (-3,900), and Rochester, NY (-3,500). The largest over-theyear percentage decrease in employment occurred in Cape Girardeau, MO-IL (-5.2 percent), followed by 

Michigan City-La Porte, IN (-2.9 percent), and Grand Forks, ND-MN (-2.7 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 Orlando-Kissimmee-Sanford, FL; Raleigh, 

NC; and Riverside-San Bernardino-Ontario, CA (+3.0 percent each). The over-the-year percentage 

decreases occurred in Virginia Beach-Norfolk-Newport News, VA-NC (-1.2 percent), Rochester, NY 

(-0.6 percent), Buffalo-Cheektowaga-Niagara Falls, NY (-0.5 percent), and Hartford-West Hartford-East 

Hartford, CT (-0.2 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In October, nonfarm payroll employment increased in 35 of the 38 metropolitan divisions over the year 

and fell in 3. The largest over-the-year increase in employment among the metropolitan divisions 

occurred in New York-Jersey City-White Plains, NY-NJ (+90,500), followed by Dallas-Plano-Irving, 

TX (+67,900), and Boston-Cambridge-Newton, MA (+50,300). The over-the-year decreases occurred in 

Newark, NJ-PA (-4,300), Gary, IN (-3,700), and Elgin, IL (-700). (See table 4.) 

The largest over-the-year percentage increases occurred in Fort Lauderdale-Pompano Beach-Deerfield 

Beach, FL (+3.1 percent), Nashua, NH-MA (+3.0 percent), and Boston-Cambridge-Newton, MA; 

Dallas-Plano-Irving, TX; and Tacoma-Lakewood, WA (+2.7 percent each). The over-the-year 

percentage decreases occurred in Gary, IN (-1.3 percent), Newark, NJ-PA (-0.4 percent), and Elgin, IL 

(-0.3 percent). 

_____________ 

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

on Friday, December 22, 2017, at 10:00 a.m. (EST). The Metropolitan Area Employment and 

Unemployment news release for November is scheduled to be released on Thursday, January 4, 

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

Conversion to the 2017 North American Industry Classification System

With the release of January 2018 data on March 12, 2018, the Current Employment Statistics (CES) 

survey will revise the basis for industry classification from the 2012 North American Industry 

Classification System (NAICS) to the 2017 NAICS for all states and metropolitan areas. The 

conversion to the 2017 NAICS will result in minor revisions reflecting content and coding changes 

within the retail trade and information sectors. Several industry titles and descriptions also will be 

updated. Details of new, discontinued, and collapsed industries as a result of the 2017 NAICS update, 

as well as changes due to the annual benchmarking process, will be available on March 12, 2018.

For more information on the 2017 NAICS, see www.census.gov/eos/www/naics/.
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

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,176,728 2,171,138 2,193,487 2,178,323 134,032 72,327 136,336 76,101 6.2 3.3 6.2 3.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,596 45,123 45,884 45,763 3,087 1,715 3,153 1,816 6.8 3.8 6.9 4.0

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,617 75,333 74,033 75,738 3,865 2,135 3,983 2,261 5.3 2.8 5.4 3.0

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 535,069 531,442 539,618 533,103 31,451 16,252 31,843 17,221 5.9 3.1 5.9 3.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 90,394 92,653 90,625 92,617 4,969 2,746 5,209 2,933 5.5 3.0 5.7 3.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,868 68,880 69,409 69,197 4,166 2,226 4,225 2,324 6.0 3.2 6.1 3.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,012 62,604 63,473 62,781 3,828 2,110 3,892 2,211 6.1 3.4 6.1 3.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,972 66,174 67,419 66,496 4,442 2,383 4,350 2,487 6.6 3.6 6.5 3.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,668 43,825 44,135 44,115 2,731 1,493 2,797 1,584 6.3 3.4 6.3 3.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,081 217,075 217,158 219,122 11,431 6,340 11,747 6,698 5.3 2.9 5.4 3.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,671 181,389 187,042 181,999 13,180 7,300 13,262 7,578 7.1 4.0 7.1 4.2

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 170,779 169,157 172,570 170,562 10,077 5,556 10,274 5,882 5.9 3.3 6.0 3.4

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 113,596 114,781 114,414 114,882 6,864 3,550 6,943 3,716 6.0 3.1 6.1 3.2

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360,761 363,078 357,474 359,815 21,892 23,919 22,232 24,116 6.1 6.6 6.2 6.7

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 200,367 202,755 201,929 204,363 11,343 12,688 11,292 12,500 5.7 6.3 5.6 6.1

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,609 46,550 46,139 46,640 2,482 2,707 2,437 2,726 5.3 5.8 5.3 5.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,263,107 3,337,835 3,264,008 3,315,610 175,080 156,238 167,206 146,026 5.4 4.7 5.1 4.4

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,508 77,251 75,939 75,955 4,253 3,410 4,239 3,274 5.6 4.4 5.6 4.3

Lake Havasu City-Kingman. . . . . . . . . . . . 80,608 82,647 80,474 81,517 5,210 4,462 4,928 4,125 6.5 5.4 6.1 5.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,256,250 2,317,213 2,258,161 2,303,363 104,352 91,979 99,610 86,328 4.6 4.0 4.4 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,890 102,093 100,555 100,924 4,952 4,253 4,583 3,939 4.9 4.2 4.6 3.9

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,196 51,605 49,915 51,565 3,018 2,669 2,875 2,483 6.0 5.2 5.8 4.8

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476,605 477,698 476,435 473,007 23,624 20,176 22,302 18,925 5.0 4.2 4.7 4.0

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,887 99,383 95,006 99,905 18,909 19,860 18,110 17,954 20.1 20.0 19.1 18.0

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,345,513 1,375,221 1,342,421 1,374,813 52,163 46,479 46,406 43,601 3.9 3.4 3.5 3.2

Fayetteville-Springdale-Rogers. . . . . . . . . 266,473 278,467 266,858 279,658 7,637 7,185 6,764 6,660 2.9 2.6 2.5 2.4

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,639 122,563 121,476 122,455 5,581 4,932 5,113 4,702 4.6 4.0 4.2 3.8

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 39,846 41,093 39,419 40,446 1,703 1,542 1,588 1,429 4.3 3.8 4.0 3.5

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,628 64,584 62,541 64,437 2,049 1,884 1,833 1,758 3.3 2.9 2.9 2.7

Little Rock-North Little Rock-Conway. . . . 350,114 358,585 350,226 358,455 12,409 11,077 10,979 10,314 3.5 3.1 3.1 2.9

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,062 35,979 36,018 36,113 1,902 1,635 1,682 1,550 5.3 4.5 4.7 4.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,186,046 19,450,716 19,201,496 19,353,387 1,004,338 918,466 1,007,701 837,435 5.2 4.7 5.2 4.3

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 390,532 391,914 390,389 389,333 35,552 31,758 35,607 29,155 9.1 8.1 9.1 7.5

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,521 104,781 104,218 105,167 6,028 5,454 6,043 4,942 5.8 5.2 5.8 4.7

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,963 78,821 77,546 75,145 19,969 19,881 19,310 15,720 25.6 25.2 24.9 20.9

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447,872 451,070 443,033 444,624 36,223 33,786 39,791 34,483 8.1 7.5 9.0 7.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 56,902 57,485 56,340 56,570 4,677 4,268 5,047 4,165 8.2 7.4 9.0 7.4

Los Angeles-Long Beach-Anaheim. . . . . 6,679,796 6,812,473 6,680,714 6,770,590 332,444 310,702 324,880 277,552 5.0 4.6 4.9 4.1

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,470 63,341 61,067 61,722 4,644 4,165 4,993 4,060 7.4 6.6 8.2 6.6

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,235 117,408 116,471 115,917 9,408 8,736 9,840 8,325 8.0 7.4 8.4 7.2

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247,329 249,873 246,038 245,382 17,963 16,243 18,830 15,454 7.3 6.5 7.7 6.3

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,708 77,280 74,800 76,374 2,875 2,471 2,899 2,571 3.8 3.2 3.9 3.4

Oxnard-Thousand Oaks-Ventura. . . . . . . 424,308 432,496 429,873 432,471 22,717 20,136 22,567 18,223 5.4 4.7 5.2 4.2

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,103 76,754 75,663 76,977 4,634 4,050 4,659 3,778 6.2 5.3 6.2 4.9

Riverside-San Bernardino-Ontario. . . . . . 1,989,260 2,021,319 1,997,618 2,024,956 119,680 108,200 118,516 97,096 6.0 5.4 5.9 4.8

Sacramento--Roseville--Arden-Arcade. . . 1,077,066 1,088,248 1,073,545 1,083,581 54,249 48,461 55,080 44,301 5.0 4.5 5.1 4.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226,184 227,434 223,644 223,170 11,571 10,692 11,934 10,300 5.1 4.7 5.3 4.6

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,574,823 1,585,744 1,579,376 1,582,052 72,945 64,695 73,713 58,886 4.6 4.1 4.7 3.7

San Francisco-Oakland-Hayward. . . . . . . 2,556,644 2,588,196 2,566,170 2,577,098 95,621 86,499 97,060 78,516 3.7 3.3 3.8 3.0

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,059,350 1,068,976 1,060,601 1,066,481 40,335 35,447 40,858 32,278 3.8 3.3 3.9 3.0

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,901 141,242 141,399 140,808 5,802 5,038 5,821 4,564 4.1 3.6 4.1 3.2

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 143,376 143,962 145,014 144,225 7,490 6,739 7,683 6,445 5.2 4.7 5.3 4.5

Santa Maria-Santa Barbara. . . . . . . . . . . . 215,676 217,524 217,401 219,650 9,766 8,875 10,052 8,344 4.5 4.1 4.6 3.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 263,975 265,050 262,259 262,608 9,716 8,479 9,943 8,560 3.7 3.2 3.8 3.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 322,026 321,657 321,597 320,072 23,348 21,248 23,802 19,919 7.3 6.6 7.4 6.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,503 209,847 209,244 208,909 10,910 9,716 11,022 9,008 5.2 4.6 5.3 4.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 205,549 207,801 202,988 202,879 20,299 19,698 21,396 19,100 9.9 9.5 10.5 9.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,163 74,552 73,424 73,411 5,525 5,081 5,795 4,775 7.4 6.8 7.9 6.5

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,911,124 3,023,493 2,915,022 3,021,697 84,799 68,704 82,055 79,763 2.9 2.3 2.8 2.6

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,061 191,028 183,098 191,135 4,316 3,718 4,242 4,398 2.4 1.9 2.3 2.3

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 330,282 340,937 330,186 340,066 10,951 9,089 10,541 10,374 3.3 2.7 3.2 3.1

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,554,590 1,608,479 1,557,640 1,603,035 43,603 35,920 42,055 41,369 2.8 2.2 2.7 2.6

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 190,698 201,238 191,177 200,998 4,620 3,815 4,573 4,552 2.4 1.9 2.4 2.3

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 72,486 73,058 72,234 72,874 3,322 2,200 3,032 2,457 4.6 3.0 4.2 3.4

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150,093 158,291 151,625 160,152 4,476 3,298 4,281 3,851 3.0 2.1 2.8 2.4

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,315 75,272 73,334 75,577 3,174 2,640 2,970 2,994 4.3 3.5 4.0 4.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,883,920 1,896,424 1,885,732 1,899,380 86,819 76,205 79,435 81,970 4.6 4.0 4.2 4.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 463,937 467,346 461,636 465,722 21,073 18,679 19,333 20,101 4.5 4.0 4.2 4.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,421 107,437 106,478 107,241 3,940 3,450 3,585 3,663 3.7 3.2 3.4 3.4

Hartford-West Hartford-East Hartford. . . . 614,500 617,196 617,613 620,219 28,318 25,109 25,813 26,919 4.6 4.1 4.2 4.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 322,946 326,566 323,256 326,595 15,017 13,203 13,728 14,172 4.7 4.0 4.2 4.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 141,831 141,977 141,699 142,376 6,621 5,577 6,137 5,972 4.7 3.9 4.3 4.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,585 110,739 110,476 111,053 6,375 5,371 5,844 5,913 5.8 4.9 5.3 5.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 467,885 475,250 470,204 474,839 20,185 22,205 19,814 20,723 4.3 4.7 4.2 4.4

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,385 77,111 77,942 77,926 3,583 3,914 3,536 3,638 4.7 5.1 4.5 4.7

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 187,869 190,245 182,424 185,631 8,917 8,418 9,400 8,854 4.7 4.4 5.2 4.8

District of Columbia. . . . . . . . . . . . . . . . . . . . . 390,933 399,623 394,704 401,102 24,088 27,986 23,389 27,497 6.2 7.0 5.9 6.9

Washington-Arlington-Alexandria. . . . . . . 3,316,842 3,404,790 3,337,197 3,394,279 130,231 121,547 128,641 123,537 3.9 3.6 3.9 3.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,946,538 10,190,863 9,932,052 10,094,694 508,834 373,013 490,603 360,126 5.1 3.7 4.9 3.6

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 328,583 324,737 331,306 328,002 16,047 11,662 15,583 10,981 4.9 3.6 4.7 3.3

Crestview-Fort Walton Beach-Destin. . . . 124,008 127,724 122,981 125,118 5,131 3,591 5,022 3,452 4.1 2.8 4.1 2.8

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,565 299,233 293,778 297,551 15,675 11,172 15,313 10,877 5.3 3.7 5.2 3.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 142,985 146,447 142,186 145,327 6,405 4,548 6,138 4,419 4.5 3.1 4.3 3.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,975 47,928 47,866 46,822 3,312 2,347 3,204 2,279 6.9 4.9 6.7 4.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 748,693 763,615 739,678 753,277 36,285 26,016 34,969 24,846 4.8 3.4 4.7 3.3

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 288,605 295,785 288,211 291,689 17,418 12,050 16,476 11,585 6.0 4.1 5.7 4.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,076,112 3,163,348 3,085,377 3,142,522 162,972 126,736 157,254 123,139 5.3 4.0 5.1 3.9

Naples-Immokalee-Marco Island. . . . . . . . 166,013 167,802 166,573 170,295 9,117 6,757 8,549 6,398 5.5 4.0 5.1 3.8

North Port-Sarasota-Bradenton. . . . . . . . . 352,109 366,275 355,102 365,120 17,101 12,088 16,678 11,730 4.9 3.3 4.7 3.2

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,469 137,456 134,021 135,120 8,129 5,611 7,927 5,436 6.0 4.1 5.9 4.0

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,275,889 1,318,355 1,266,538 1,298,242 59,613 42,452 57,423 40,918 4.7 3.2 4.5 3.2

Palm Bay-Melbourne-Titusville. . . . . . . . . 267,366 271,890 265,392 268,516 14,035 9,841 13,608 9,441 5.2 3.6 5.1 3.5

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,848 97,275 93,642 95,083 4,602 3,225 4,472 3,090 4.9 3.3 4.8 3.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 220,811 225,635 218,918 221,078 10,922 7,564 10,535 7,370 4.9 3.4 4.8 3.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 207,839 211,017 207,222 210,662 11,924 8,546 11,314 8,171 5.7 4.0 5.5 3.9

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 69,490 71,501 69,974 70,990 3,939 2,843 3,800 2,715 5.7 4.0 5.4 3.8

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 62,279 63,833 62,544 63,159 4,218 2,912 3,985 2,719 6.8 4.6 6.4 4.3

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,053 37,598 36,723 37,060 2,519 1,815 2,450 1,773 7.0 4.8 6.7 4.8

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 192,464 196,191 192,244 193,156 9,460 6,511 8,995 6,303 4.9 3.3 4.7 3.3

Tampa-St. Petersburg-Clearwater. . . . . . 1,493,564 1,533,073 1,490,702 1,516,130 71,798 51,298 69,477 49,878 4.8 3.3 4.7 3.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 29,567 30,530 29,599 30,041 2,130 1,471 2,127 1,435 7.2 4.8 7.2 4.8

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,957,356 5,088,267 4,972,208 5,075,140 274,962 214,507 276,234 221,641 5.5 4.2 5.6 4.4

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,891 67,364 67,731 67,607 4,334 3,428 4,316 3,490 6.5 5.1 6.4 5.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 98,215 102,109 97,610 101,854 5,950 4,140 5,183 4,204 6.1 4.1 5.3 4.1

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,967,440 3,056,766 2,974,846 3,046,032 156,247 122,436 155,188 126,236 5.3 4.0 5.2 4.1

Augusta-Richmond County. . . . . . . . . . . . . 263,925 269,779 264,188 269,139 15,254 11,666 15,350 12,382 5.8 4.3 5.8 4.6

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,754 53,652 52,747 52,951 2,968 3,129 3,178 2,453 5.6 5.8 6.0 4.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,557 124,514 124,227 124,337 8,200 6,046 8,175 6,331 6.6 4.9 6.6 5.1

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,954 63,908 62,511 62,890 3,869 3,149 3,929 3,078 6.1 4.9 6.3 4.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 97,084 99,992 97,686 99,966 4,452 3,501 4,649 3,574 4.6 3.5 4.8 3.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,982 33,549 32,825 33,337 1,918 1,554 1,953 1,574 5.8 4.6 5.9 4.7

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 104,814 105,561 105,321 105,105 6,249 5,013 6,706 5,301 6.0 4.7 6.4 5.0

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,157 44,223 43,957 43,953 2,839 2,039 2,632 2,057 6.4 4.6 6.0 4.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,550 185,373 181,266 186,107 9,720 7,282 9,779 7,574 5.4 3.9 5.4 4.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,196 65,351 64,633 65,358 3,451 2,734 3,413 2,783 5.4 4.2 5.3 4.3

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 83,648 85,234 84,683 85,207 4,745 3,716 5,893 4,383 5.7 4.4 7.0 5.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685,456 684,363 687,426 681,770 21,042 16,596 20,269 12,863 3.1 2.4 2.9 1.9

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,110 85,379 84,973 85,185 2,784 2,179 2,693 1,705 3.3 2.6 3.2 2.0

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 474,596 474,556 477,712 473,051 13,829 11,074 13,226 8,474 2.9 2.3 2.8 1.8

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 817,802 827,472 819,947 832,290 27,770 20,654 26,793 21,829 3.4 2.5 3.3 2.6

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 335,355 342,784 334,509 343,667 11,617 8,631 11,179 9,121 3.5 2.5 3.3 2.7

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 73,575 73,693 72,998 73,275 2,950 2,205 2,964 2,367 4.0 3.0 4.1 3.2

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,871 66,015 66,313 67,056 1,941 1,502 1,788 1,562 2.9 2.3 2.7 2.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,903 31,753 31,013 31,825 1,085 866 1,086 884 3.5 2.7 3.5 2.8

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,936 40,567 42,885 41,365 1,382 986 1,343 1,049 3.3 2.4 3.1 2.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,517,022 6,419,956 6,520,067 6,431,632 364,791 293,870 363,282 301,911 5.6 4.6 5.6 4.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,391 96,111 98,104 96,614 4,840 3,447 4,703 3,698 5.0 3.6 4.8 3.8

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 61,337 59,866 60,372 60,070 3,449 2,596 3,246 2,651 5.6 4.3 5.4 4.4

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 121,385 117,818 122,566 119,036 5,881 4,426 5,971 4,907 4.8 3.8 4.9 4.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,906,234 4,856,218 4,909,472 4,860,658 269,640 225,886 272,019 230,537 5.5 4.7 5.5 4.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,740 33,402 34,716 33,509 2,461 1,970 2,349 2,024 7.1 5.9 6.8 6.0

Davenport-Moline-Rock Island1. . . . . . . . . 191,249 187,119 191,323 187,170 10,485 8,042 10,036 7,590 5.5 4.3 5.2 4.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,040 48,605 49,831 48,559 3,235 2,475 3,058 2,506 6.5 5.1 6.1 5.2

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,664 54,171 54,982 54,611 3,349 2,527 3,231 2,617 6.1 4.7 5.9 4.8

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,999 178,098 182,898 178,205 11,370 8,313 10,895 8,438 6.2 4.7 6.0 4.7

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,240 162,016 167,107 162,388 10,880 8,132 10,306 8,184 6.5 5.0 6.2 5.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 113,348 110,879 113,373 110,004 5,269 4,268 5,073 4,363 4.6 3.8 4.5 4.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,325,272 3,338,417 3,328,690 3,305,053 134,378 119,137 130,358 112,589 4.0 3.6 3.9 3.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 79,051 79,055 79,378 78,458 3,258 2,784 3,199 2,716 4.1 3.5 4.0 3.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,043 45,331 44,381 45,048 1,355 1,207 1,322 1,157 3.1 2.7 3.0 2.6

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 107,699 111,869 108,066 111,000 3,589 2,756 3,425 2,675 3.3 2.5 3.2 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 159,993 161,784 160,153 160,243 6,326 5,351 6,082 5,094 4.0 3.3 3.8 3.2

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 211,903 212,660 213,186 209,757 7,993 7,203 7,715 6,561 3.8 3.4 3.6 3.1

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,037,699 1,051,668 1,037,322 1,040,025 38,876 35,661 37,825 33,617 3.7 3.4 3.6 3.2

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,946 38,755 38,342 38,469 1,521 1,398 1,680 1,330 4.0 3.6 4.4 3.5

Lafayette-West Lafayette. . . . . . . . . . . . . . 111,218 112,458 111,930 112,234 4,024 3,469 4,007 3,347 3.6 3.1 3.6 3.0

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,199 46,464 48,100 45,883 2,529 2,028 2,402 1,941 5.2 4.4 5.0 4.2

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,236 55,114 55,227 54,743 2,581 2,380 2,551 2,280 4.7 4.3 4.6 4.2

South Bend-Mishawaka. . . . . . . . . . . . . . . 159,481 158,261 159,929 157,148 6,804 5,902 6,676 5,717 4.3 3.7 4.2 3.6

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,499 77,898 77,747 76,872 3,790 3,273 3,538 3,129 4.9 4.2 4.6 4.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,698,623 1,688,336 1,702,903 1,686,191 57,646 50,349 54,397 39,727 3.4 3.0 3.2 2.4

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,325 58,909 58,901 59,105 1,361 1,193 1,204 817 2.3 2.0 2.0 1.4

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 142,432 142,776 143,315 142,177 5,000 4,763 4,674 3,739 3.5 3.3 3.3 2.6

Des Moines-West Des Moines. . . . . . . . . 342,963 345,803 345,621 346,235 11,050 9,889 10,416 7,820 3.2 2.9 3.0 2.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,674 54,117 55,085 53,973 1,729 1,496 1,598 1,128 3.2 2.8 2.9 2.1

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,860 99,676 98,723 99,155 2,593 2,497 2,410 1,899 2.6 2.5 2.4 1.9

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 91,546 90,701 91,788 90,695 2,954 2,640 2,839 2,294 3.2 2.9 3.1 2.5

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 90,009 88,717 91,091 88,484 3,645 2,950 3,530 2,343 4.0 3.3 3.9 2.6

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,478,192 1,486,519 1,483,972 1,490,265 60,371 50,985 59,924 45,235 4.1 3.4 4.0 3.0

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,410 66,203 66,772 66,432 2,298 1,934 2,220 1,647 3.5 2.9 3.3 2.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,431 49,434 50,704 50,004 1,617 1,355 1,608 1,137 3.2 2.7 3.2 2.3

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,535 120,925 119,949 120,789 4,731 4,048 4,653 3,543 4.0 3.3 3.9 2.9

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,786 309,981 306,456 310,587 14,304 12,337 14,209 10,664 4.7 4.0 4.6 3.4

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,000,277 2,064,324 1,997,151 2,050,783 96,448 89,043 91,044 87,272 4.8 4.3 4.6 4.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 79,775 83,412 79,944 82,830 2,958 3,523 2,833 3,266 3.7 4.2 3.5 3.9

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,536 67,890 65,004 67,183 2,934 2,820 2,751 2,766 4.5 4.2 4.2 4.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 262,054 271,357 264,015 271,826 9,325 9,105 8,916 8,962 3.6 3.4 3.4 3.3

Louisville/Jefferson County. . . . . . . . . . . . . 645,818 668,170 640,683 661,746 26,306 25,137 25,056 24,457 4.1 3.8 3.9 3.7

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 53,671 55,206 53,780 54,694 2,318 2,212 2,359 2,321 4.3 4.0 4.4 4.2

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,118,949 2,090,122 2,118,476 2,098,942 134,882 110,115 124,482 89,835 6.4 5.3 5.9 4.3

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,620 64,151 65,507 64,278 4,302 3,704 3,997 2,983 6.6 5.8 6.1 4.6

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 421,286 419,884 422,181 422,001 24,302 19,067 21,533 15,558 5.8 4.5 5.1 3.7

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,933 54,095 54,343 54,288 3,848 3,151 3,424 2,458 7.0 5.8 6.3 4.5

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 90,914 87,411 90,524 87,540 6,378 4,814 6,000 3,898 7.0 5.5 6.6 4.5

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,098 208,068 212,916 208,875 15,795 11,642 14,615 9,633 7.4 5.6 6.9 4.6

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 108,509 111,719 109,643 113,149 5,330 4,717 4,926 3,787 4.9 4.2 4.5 3.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,967 80,116 81,337 80,999 5,008 4,297 4,807 3,546 6.2 5.4 5.9 4.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . 598,609 591,968 599,830 595,388 34,493 29,735 32,129 24,240 5.8 5.0 5.4 4.1

Shreveport-Bossier City. . . . . . . . . . . . . . . 189,718 185,204 189,794 185,138 12,761 10,457 12,092 8,750 6.7 5.6 6.4 4.7

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 695,467 705,304 697,727 704,739 23,693 21,341 23,884 21,150 3.4 3.0 3.4 3.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,803 71,470 71,740 71,803 2,425 2,196 2,424 2,178 3.4 3.1 3.4 3.0

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,719 56,590 56,579 57,154 1,796 1,646 1,806 1,596 3.2 2.9 3.2 2.8

Portland-South Portland. . . . . . . . . . . . . . . 203,358 207,422 203,988 207,908 5,556 5,152 5,720 5,054 2.7 2.5 2.8 2.4

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,177,815 3,243,578 3,187,678 3,242,860 132,464 113,145 133,706 122,939 4.2 3.5 4.2 3.8

Baltimore-Columbia-Towson. . . . . . . . . . . 1,486,479 1,509,992 1,492,134 1,511,248 64,101 54,647 64,540 58,986 4.3 3.6 4.3 3.9

California-Lexington Park. . . . . . . . . . . . . . 54,374 55,577 54,607 55,732 2,147 1,818 2,117 2,015 3.9 3.3 3.9 3.6

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,222 44,200 44,482 44,237 2,375 1,992 2,345 2,113 5.4 4.5 5.3 4.8

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 131,403 131,709 132,954 132,590 5,494 4,713 5,561 4,828 4.2 3.6 4.2 3.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,568,057 3,645,166 3,576,746 3,624,329 119,229 128,032 101,927 119,461 3.3 3.5 2.8 3.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 124,402 127,982 120,594 123,662 4,034 4,268 3,559 4,153 3.2 3.3 3.0 3.4

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,631,273 2,689,540 2,643,751 2,681,283 81,748 87,787 70,763 81,960 3.1 3.3 2.7 3.1

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 75,348 76,649 75,363 76,185 2,976 3,074 2,495 2,890 3.9 4.0 3.3 3.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 82,865 85,487 82,782 84,633 4,042 4,338 3,450 4,037 4.9 5.1 4.2 4.8

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,346 42,941 42,192 42,207 1,560 1,751 1,365 1,634 3.7 4.1 3.2 3.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 362,089 368,197 364,257 368,542 14,993 15,461 12,722 14,623 4.1 4.2 3.5 4.0

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 343,771 347,630 344,979 347,164 12,662 12,940 10,897 12,313 3.7 3.7 3.2 3.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,860,874 4,900,400 4,868,988 4,863,876 233,070 218,734 234,794 206,388 4.8 4.5 4.8 4.2

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 192,473 196,529 195,056 195,917 6,856 7,599 7,133 6,683 3.6 3.9 3.7 3.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 64,133 64,469 64,594 64,032 2,796 3,112 2,803 2,967 4.4 4.8 4.3 4.6

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,752 51,402 51,817 50,817 2,393 2,539 2,365 2,403 4.6 4.9 4.6 4.7

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,095,472 2,116,422 2,088,594 2,097,185 118,095 93,633 118,523 89,105 5.6 4.4 5.7 4.2

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,527 181,956 183,620 181,085 9,122 10,122 9,140 9,518 5.0 5.6 5.0 5.3

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 564,190 573,194 570,835 571,768 18,538 20,346 18,815 19,185 3.3 3.5 3.3 3.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,788 74,217 74,629 73,857 3,241 3,390 3,276 3,192 4.4 4.6 4.4 4.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,688 169,936 169,355 169,458 6,683 7,327 6,717 6,897 4.0 4.3 4.0 4.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . 246,595 247,445 250,157 247,948 9,228 10,534 9,210 9,788 3.7 4.3 3.7 3.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,825 40,663 40,950 40,059 1,683 1,784 1,713 1,698 4.1 4.4 4.2 4.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,652 77,899 77,594 77,320 3,244 4,319 3,717 3,853 4.2 5.5 4.8 5.0

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 76,743 77,035 76,565 76,273 3,793 4,117 3,778 3,940 4.9 5.3 4.9 5.2

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 74,261 73,914 74,000 72,899 3,333 3,406 3,292 3,198 4.5 4.6 4.4 4.4

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,498 89,043 88,477 88,487 4,105 4,538 4,083 4,280 4.6 5.1 4.6 4.8

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,001,492 3,071,418 3,003,265 3,058,874 108,951 89,217 103,221 72,447 3.6 2.9 3.4 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,995 144,668 141,573 143,108 7,116 5,265 6,789 4,383 5.0 3.6 4.8 3.1

Mankato-North Mankato. . . . . . . . . . . . . . . 59,315 60,495 60,863 61,903 1,740 1,452 1,630 1,145 2.9 2.4 2.7 1.8

Minneapolis-St. Paul-Bloomington. . . . . . 1,948,632 2,007,165 1,938,155 1,990,633 68,425 57,172 64,397 46,774 3.5 2.8 3.3 2.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,212 119,804 118,609 119,578 3,618 2,947 3,387 2,454 3.1 2.5 2.9 2.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,016 110,680 109,915 111,502 3,900 3,111 3,671 2,539 3.6 2.8 3.3 2.3

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,282,108 1,276,800 1,287,090 1,269,054 72,753 59,839 73,056 56,152 5.7 4.7 5.7 4.4

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 163,895 163,397 165,108 163,366 9,636 7,958 9,745 7,551 5.9 4.9 5.9 4.6

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 67,618 68,241 68,391 68,213 3,584 2,793 3,560 2,565 5.3 4.1 5.2 3.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269,497 269,292 272,707 269,742 13,241 11,142 13,310 10,545 4.9 4.1 4.9 3.9

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,108,513 3,081,857 3,107,424 3,042,240 141,820 101,865 126,662 75,233 4.6 3.3 4.1 2.5

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,855 45,281 48,669 44,891 2,360 1,611 2,091 1,103 4.8 3.6 4.3 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,498 100,590 100,265 99,400 3,364 2,347 2,738 1,460 3.4 2.3 2.7 1.5

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 76,443 74,931 76,244 74,043 2,883 2,127 2,385 1,367 3.8 2.8 3.1 1.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,178 86,088 86,114 85,362 3,869 2,644 3,384 1,757 4.5 3.1 3.9 2.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,126,267 1,130,887 1,129,022 1,123,633 48,492 37,923 45,903 35,697 4.3 3.4 4.1 3.2

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,038 64,138 66,097 63,629 2,722 1,989 2,412 1,464 4.1 3.1 3.6 2.3

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,478,938 1,465,653 1,481,797 1,449,651 69,383 50,473 63,244 39,784 4.7 3.4 4.3 2.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 233,213 234,792 233,914 230,518 9,677 6,782 8,347 4,325 4.1 2.9 3.6 1.9

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 525,693 524,037 526,549 522,363 17,809 17,701 19,296 18,750 3.4 3.4 3.7 3.6

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,047 87,746 88,273 87,325 2,783 2,752 2,865 2,752 3.2 3.1 3.2 3.2

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,286 37,831 38,507 37,757 1,278 1,294 1,385 1,308 3.3 3.4 3.6 3.5

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,256 62,202 62,637 62,168 1,838 1,872 2,036 1,951 3.0 3.0 3.3 3.1

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,003,800 1,000,642 1,011,427 1,007,339 31,006 25,525 30,561 23,541 3.1 2.6 3.0 2.3

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,433 43,217 43,480 43,060 1,375 1,078 1,390 1,036 3.2 2.5 3.2 2.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,180 180,382 179,814 181,400 5,120 4,219 4,947 3,870 2.9 2.3 2.8 2.1

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 475,037 483,530 480,218 486,623 15,476 12,816 15,066 11,643 3.3 2.7 3.1 2.4

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,432,348 1,457,856 1,432,972 1,461,238 77,259 72,336 73,890 70,685 5.4 5.0 5.2 4.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,710 24,809 24,651 25,031 1,375 1,180 1,306 1,192 5.6 4.8 5.3 4.8

Las Vegas-Henderson-Paradise. . . . . . . . 1,050,775 1,073,809 1,054,258 1,077,435 58,685 56,038 56,074 54,564 5.6 5.2 5.3 5.1

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234,523 237,328 235,387 238,207 10,698 9,487 10,250 9,358 4.6 4.0 4.4 3.9

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 746,963 743,355 748,222 742,912 19,415 19,453 18,430 17,924 2.6 2.6 2.5 2.4

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 84,620 83,373 85,722 84,205 2,004 1,984 1,893 1,816 2.4 2.4 2.2 2.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,204 115,983 116,635 115,893 2,986 3,010 2,837 2,775 2.6 2.6 2.4 2.4

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 75,835 74,931 76,010 74,758 1,775 1,841 1,730 1,703 2.3 2.5 2.3 2.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,500,021 4,502,188 4,505,268 4,489,080 220,483 216,281 205,724 211,561 4.9 4.8 4.6 4.7

Atlantic City-Hammonton. . . . . . . . . . . . . . 125,027 125,531 123,533 124,165 8,275 8,304 8,470 8,366 6.6 6.6 6.9 6.7

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,912 51,620 44,663 46,407 3,141 3,071 3,518 3,608 6.3 5.9 7.9 7.8

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,832 199,392 199,343 198,486 8,645 8,544 7,965 8,313 4.4 4.3 4.0 4.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,550 68,411 66,348 68,649 4,568 4,572 4,242 4,549 6.9 6.7 6.4 6.6

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 925,371 928,397 929,347 933,259 62,481 56,362 61,112 54,760 6.8 6.1 6.6 5.9

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 423,480 426,589 423,472 428,813 26,411 24,634 25,839 23,933 6.2 5.8 6.1 5.6

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,223 52,254 54,244 52,743 4,855 3,605 4,676 3,442 9.1 6.9 8.6 6.5

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 94,761 94,280 95,720 94,943 6,525 6,118 6,276 5,867 6.9 6.5 6.6 6.2

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,884 72,936 73,123 73,621 3,917 3,820 3,869 3,737 5.4 5.2 5.3 5.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554,863 9,738,498 9,548,033 9,712,111 471,384 460,959 455,099 449,212 4.9 4.7 4.8 4.6

Albany-Schenectady-Troy. . . . . . . . . . . . . . 444,361 449,293 445,374 449,965 18,655 18,702 17,532 18,019 4.2 4.2 3.9 4.0

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 108,282 109,247 108,480 108,970 5,650 5,424 5,433 5,222 5.2 5.0 5.0 4.8

Buffalo-Cheektowaga-Niagara Falls. . . . . 545,109 547,959 546,348 546,866 27,565 26,954 26,561 26,277 5.1 4.9 4.9 4.8

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,981 35,743 35,938 35,462 2,035 1,874 1,944 1,811 5.7 5.2 5.4 5.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 60,323 61,114 59,845 60,607 2,705 2,598 2,598 2,505 4.5 4.3 4.3 4.1

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,923 51,916 50,772 52,254 2,146 2,232 1,998 2,084 4.3 4.3 3.9 4.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,996 89,261 88,175 89,363 3,934 3,830 3,691 3,765 4.5 4.3 4.2 4.2

New York-Newark-Jersey City. . . . . . . . . . 9,968,188 10,122,173 9,972,256 10,098,358 490,139 478,586 468,892 466,277 4.9 4.7 4.7 4.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 519,042 520,117 519,108 519,061 24,765 24,600 23,588 23,993 4.8 4.7 4.5 4.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 305,835 310,167 305,563 309,213 15,057 14,913 14,159 14,304 4.9 4.8 4.6 4.6

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 128,793 130,571 128,301 129,941 6,209 6,216 5,856 6,071 4.8 4.8 4.6 4.7

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,690 46,317 45,100 45,611 2,574 2,464 2,576 2,469 5.6 5.3 5.7 5.4

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,902,908 4,966,385 4,928,025 4,955,159 243,039 196,033 251,212 204,020 5.0 3.9 5.1 4.1

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,026 229,200 228,382 229,789 9,070 7,407 9,009 7,589 4.0 3.2 3.9 3.3

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,628 80,734 79,919 80,612 3,671 2,994 3,685 3,100 4.6 3.7 4.6 3.8

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,290,612 1,314,990 1,302,500 1,317,951 61,195 49,663 60,215 51,740 4.7 3.8 4.6 3.9

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 289,859 298,055 290,839 297,904 12,779 10,474 12,767 10,794 4.4 3.5 4.4 3.6

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,564 149,008 147,677 148,964 9,270 7,448 9,761 7,727 6.3 5.0 6.6 5.2

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,634 52,773 54,272 52,589 3,043 2,349 4,064 2,439 5.7 4.5 7.5 4.6

Greensboro-High Point. . . . . . . . . . . . . . . . 368,421 371,856 370,342 370,270 19,076 15,501 18,775 16,048 5.2 4.2 5.1 4.3

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,391 88,608 89,403 87,860 4,691 3,812 5,496 3,913 5.2 4.3 6.1 4.5

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 171,473 172,189 172,150 171,654 8,138 6,406 8,075 6,855 4.7 3.7 4.7 4.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 63,990 64,715 63,831 64,562 3,488 2,917 3,474 3,066 5.5 4.5 5.4 4.7

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,828 52,137 52,094 51,614 2,662 2,194 2,909 2,232 5.1 4.2 5.6 4.3

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 683,850 704,093 687,795 702,989 29,249 24,406 29,351 25,222 4.3 3.5 4.3 3.6

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 67,106 65,848 68,482 66,670 4,878 3,811 5,256 3,989 7.3 5.8 7.7 6.0

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,255 148,594 144,198 147,350 6,857 5,351 6,779 5,732 4.7 3.6 4.7 3.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 323,305 324,614 324,098 323,465 15,337 12,355 15,081 12,861 4.7 3.8 4.7 4.0

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 417,632 417,181 417,255 418,634 10,058 7,839 9,260 7,277 2.4 1.9 2.2 1.7

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,640 69,076 69,822 69,619 1,561 1,343 1,410 1,224 2.2 1.9 2.0 1.8

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,606 139,502 137,049 139,843 2,974 2,561 2,616 2,192 2.2 1.8 1.9 1.6

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 57,330 56,304 58,002 56,704 1,402 1,184 1,242 959 2.4 2.1 2.1 1.7

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,719,701 5,766,709 5,722,196 5,773,564 281,698 270,913 268,016 260,672 4.9 4.7 4.7 4.5

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359,387 357,008 361,170 360,757 17,908 16,550 17,176 16,512 5.0 4.6 4.8 4.6

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 198,402 197,103 198,576 198,367 10,784 9,369 10,206 9,528 5.4 4.8 5.1 4.8

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088,148 1,115,059 1,090,942 1,111,240 46,885 44,102 44,801 44,641 4.3 4.0 4.1 4.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,029,181 1,034,018 1,023,257 1,026,403 54,249 58,729 52,168 52,900 5.3 5.7 5.1 5.2

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,053,461 1,073,503 1,059,577 1,076,696 44,327 40,539 41,751 40,222 4.2 3.8 3.9 3.7

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383,122 385,582 383,024 389,298 18,332 16,741 17,388 16,837 4.8 4.3 4.5 4.3

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,897 47,808 47,939 48,003 2,441 2,194 2,302 2,156 5.1 4.6 4.8 4.5

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,069 53,248 53,152 53,218 2,838 2,616 2,730 2,628 5.3 4.9 5.1 4.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,659 63,317 62,996 63,524 3,709 2,776 3,037 2,773 5.8 4.4 4.8 4.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303,984 306,429 304,913 307,446 14,912 16,043 14,325 14,948 4.9 5.2 4.7 4.9

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,639 50,704 51,432 50,753 3,644 2,934 3,422 2,925 7.1 5.8 6.7 5.8

Youngstown-Warren-Boardman. . . . . . . . 248,508 246,600 247,865 245,537 15,327 17,469 14,795 13,771 6.2 7.1 6.0 5.6

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,827,050 1,839,031 1,833,474 1,849,959 89,975 79,804 88,124 75,681 4.9 4.3 4.8 4.1

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,834 30,564 29,871 30,799 1,272 1,143 1,200 1,060 4.3 3.7 4.0 3.4

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,074 52,523 52,455 52,843 2,477 2,471 2,427 2,334 4.8 4.7 4.6 4.4

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 666,019 677,091 668,853 678,728 28,904 26,400 28,293 24,733 4.3 3.9 4.2 3.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473,464 476,728 478,435 481,632 24,213 21,684 23,878 20,958 5.1 4.5 5.0 4.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,075,688 2,139,304 2,076,489 2,151,230 95,099 88,695 94,169 88,502 4.6 4.1 4.5 4.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,395 58,682 57,763 60,013 3,049 2,825 3,015 2,823 5.3 4.8 5.2 4.7

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 91,959 95,326 91,047 95,314 4,021 3,787 4,060 3,957 4.4 4.0 4.5 4.2

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,462 47,565 47,571 49,492 1,829 1,663 1,671 1,553 3.9 3.5 3.5 3.1

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,439 184,945 181,709 188,709 8,935 8,365 8,838 8,268 5.0 4.5 4.9 4.4

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,303 36,333 35,106 36,261 2,081 1,902 2,093 1,901 5.9 5.2 6.0 5.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,332 105,493 103,440 106,286 5,399 4,837 5,271 4,748 5.2 4.6 5.1 4.5

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,280,681 1,324,405 1,287,314 1,334,880 57,977 52,304 57,535 52,011 4.5 3.9 4.5 3.9

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,998 206,663 199,807 206,672 9,599 8,868 9,376 8,676 4.8 4.3 4.7 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,474,896 6,405,318 6,461,574 6,373,489 345,629 282,534 339,080 265,262 5.3 4.4 5.2 4.2

Allentown-Bethlehem-Easton. . . . . . . . . . . 437,378 427,105 433,434 425,019 23,740 19,460 22,173 18,420 5.4 4.6 5.1 4.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,872 59,167 60,502 57,819 3,084 2,512 3,092 2,310 5.1 4.2 5.1 4.0

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,206 42,765 43,056 42,556 2,073 1,811 2,040 1,697 4.8 4.2 4.7 4.0

Chambersburg-Waynesboro. . . . . . . . . . . 77,250 76,125 77,181 75,632 3,913 2,918 3,956 2,735 5.1 3.8 5.1 3.6

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,958 80,698 81,515 79,621 5,190 4,372 5,051 4,144 6.3 5.4 6.2 5.2

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,919 132,117 133,504 130,712 8,640 6,401 8,398 6,079 6.4 4.8 6.3 4.7

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,733 55,904 55,671 55,610 2,081 1,769 2,087 1,630 3.7 3.2 3.7 2.9

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 297,390 297,608 295,715 294,800 13,418 11,379 13,035 10,533 4.5 3.8 4.4 3.6

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 61,160 59,745 61,251 59,978 3,840 3,070 3,811 2,842 6.3 5.1 6.2 4.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,268 280,593 279,897 277,134 11,384 9,641 11,329 9,008 4.0 3.4 4.0 3.3

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,774 70,030 70,409 69,215 3,110 2,596 3,100 2,411 4.4 3.7 4.4 3.5

Philadelphia-Camden-Wilmington. . . . . . . 3,088,499 3,088,609 3,098,302 3,089,440 158,396 143,039 153,868 135,663 5.1 4.6 5.0 4.4

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,214,529 1,202,578 1,212,944 1,195,174 66,920 52,797 65,428 49,572 5.5 4.4 5.4 4.1

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,158 212,827 213,586 211,232 10,636 8,893 10,465 8,333 5.0 4.2 4.9 3.9

Scranton--Wilkes-Barre--Hazleton. . . . . . . 280,032 276,441 279,534 275,639 16,338 13,734 16,146 13,030 5.8 5.0 5.8 4.7

State College. . . . . . . . . . . . . . . . . . . . . . . . 79,913 78,321 81,139 78,943 3,160 2,583 3,238 2,391 4.0 3.3 4.0 3.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 58,644 56,894 58,457 56,390 3,690 2,816 3,564 2,608 6.3 4.9 6.1 4.6

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 235,322 232,324 234,448 230,862 10,713 9,335 10,549 8,672 4.6 4.0 4.5 3.8

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 552,409 551,661 552,117 552,300 27,069 20,518 25,753 21,265 4.9 3.7 4.7 3.9

Providence-Warwick. . . . . . . . . . . . . . . . . . 677,821 678,665 678,057 678,530 31,744 25,673 29,594 25,994 4.7 3.8 4.4 3.8

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,301,557 2,322,981 2,299,345 2,314,286 108,274 88,921 102,913 90,403 4.7 3.8 4.5 3.9

Charleston-North Charleston. . . . . . . . . . . 374,209 378,797 374,348 378,294 15,192 12,409 14,260 12,369 4.1 3.3 3.8 3.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 403,773 403,897 402,792 403,091 18,192 15,584 16,988 15,913 4.5 3.9 4.2 3.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,753 96,355 95,473 95,572 5,005 4,136 4,721 4,277 5.2 4.3 4.9 4.5

Greenville-Anderson-Mauldin. . . . . . . . . . . 421,440 425,717 424,262 424,843 18,035 14,574 16,874 14,676 4.3 3.4 4.0 3.5

Hilton Head Island-Bluffton-Beaufort. . . . 85,037 85,335 84,201 84,354 3,712 3,111 3,695 3,139 4.4 3.6 4.4 3.7

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191,467 193,361 184,768 189,402 10,146 8,301 10,064 8,700 5.3 4.3 5.4 4.6

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 154,790 157,681 155,720 156,437 7,011 5,762 6,596 5,830 4.5 3.7 4.2 3.7

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,194 43,676 44,178 43,624 2,431 2,104 2,328 2,109 5.5 4.8 5.3 4.8

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 451,351 456,119 454,982 458,671 11,406 13,924 11,096 13,804 2.5 3.1 2.4 3.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,362 73,797 72,663 74,402 1,975 2,337 1,931 2,357 2.7 3.2 2.7 3.2

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 145,708 148,619 148,788 149,884 3,054 3,831 3,006 3,847 2.1 2.6 2.0 2.6

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,160,765 3,222,167 3,162,841 3,214,048 164,593 92,838 157,787 97,859 5.2 2.9 5.0 3.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 261,985 268,900 262,493 268,856 14,032 8,532 13,681 9,088 5.4 3.2 5.2 3.4

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,487 111,774 110,625 110,859 6,517 4,311 6,066 4,285 5.9 3.9 5.5 3.9

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,695 59,725 57,678 60,019 2,930 1,685 2,827 1,770 5.1 2.8 4.9 2.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,544 64,520 63,363 64,188 3,355 1,981 3,235 2,200 5.3 3.1 5.1 3.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 90,066 91,440 89,946 91,320 5,156 2,917 4,961 3,047 5.7 3.2 5.5 3.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 139,037 138,945 137,911 137,944 7,649 4,745 7,370 4,834 5.5 3.4 5.3 3.5

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417,183 420,565 418,339 418,323 20,558 11,464 19,822 11,935 4.9 2.7 4.7 2.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 624,508 630,308 628,223 630,651 35,310 22,159 34,277 23,259 5.7 3.5 5.5 3.7

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,967 52,185 51,444 52,413 2,850 1,622 2,719 1,663 5.6 3.1 5.3 3.2

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 982,130 1,019,250 983,698 1,017,264 41,006 23,080 38,851 23,848 4.2 2.3 3.9 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,359,661 13,498,742 13,338,725 13,392,285 646,980 543,922 612,866 470,201 4.8 4.0 4.6 3.5

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,894 74,611 74,956 74,061 3,106 2,610 2,974 2,309 4.1 3.5 4.0 3.1

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,178 131,882 131,311 131,419 4,459 3,604 4,306 3,166 3.4 2.7 3.3 2.4

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,119,209 1,141,445 1,123,093 1,133,527 38,536 33,200 37,322 29,264 3.4 2.9 3.3 2.6

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 174,912 174,242 173,842 171,315 12,584 14,293 11,563 10,849 7.2 8.2 6.7 6.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 165,996 165,785 165,443 163,328 12,212 10,570 11,444 8,923 7.4 6.4 6.9 5.5

College Station-Bryan. . . . . . . . . . . . . . . . . 127,321 130,375 128,558 131,309 4,669 3,793 4,508 3,311 3.7 2.9 3.5 2.5

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 205,244 210,254 205,340 208,879 12,905 12,466 12,448 10,635 6.3 5.9 6.1 5.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,720,102 3,804,779 3,720,265 3,768,428 148,645 127,863 142,480 113,120 4.0 3.4 3.8 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,124 360,335 354,034 355,936 18,255 15,207 17,585 13,505 5.2 4.2 5.0 3.8

Houston-The Woodlands-Sugar Land. . . 3,300,790 3,310,957 3,293,833 3,290,419 186,603 159,899 175,543 135,329 5.7 4.8 5.3 4.1

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 176,865 179,771 176,502 178,553 8,219 6,848 7,852 6,061 4.6 3.8 4.4 3.4

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,178 114,560 114,271 113,386 5,605 4,148 5,308 3,663 4.9 3.6 4.6 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,728 97,562 98,273 96,911 6,621 4,425 6,054 3,922 6.7 4.5 6.2 4.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,771 159,893 158,588 158,802 5,566 4,677 5,300 4,062 3.5 2.9 3.3 2.6

McAllen-Edinburg-Mission. . . . . . . . . . . . . 334,433 335,719 332,682 332,581 26,267 22,930 23,651 18,814 7.9 6.8 7.1 5.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,890 87,508 86,381 86,248 3,998 2,453 3,699 2,086 4.6 2.8 4.3 2.4

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,909 74,986 75,265 74,265 5,117 2,751 4,692 2,388 6.7 3.7 6.2 3.2

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,673 53,818 54,509 53,881 2,519 1,795 2,432 1,581 4.6 3.3 4.5 2.9

San Antonio-New Braunfels. . . . . . . . . . . . 1,147,325 1,168,778 1,141,535 1,157,828 44,979 37,626 43,389 33,133 3.9 3.2 3.8 2.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 61,049 61,581 60,929 60,787 2,403 1,992 2,304 1,745 3.9 3.2 3.8 2.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,361 64,941 65,156 64,704 3,168 2,714 2,964 2,466 4.8 4.2 4.5 3.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,301 107,603 106,830 107,577 5,144 4,020 4,859 4,170 4.8 3.7 4.5 3.9

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,376 46,956 47,266 46,462 2,764 2,174 2,609 1,852 5.8 4.6 5.5 4.0

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,283 122,423 122,355 120,569 5,148 4,633 4,946 4,029 4.2 3.8 4.0 3.3

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 63,564 63,348 63,522 63,057 2,849 2,167 2,729 1,883 4.5 3.4 4.3 3.0

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,521,521 1,574,968 1,527,871 1,572,099 46,235 48,033 47,409 45,596 3.0 3.0 3.1 2.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,429 70,763 68,947 71,261 1,825 1,749 1,845 1,677 2.7 2.5 2.7 2.4

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 317,514 326,714 318,248 326,065 9,801 10,309 10,147 10,283 3.1 3.2 3.2 3.2

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 288,386 299,569 289,379 300,030 8,069 8,399 8,098 7,766 2.8 2.8 2.8 2.6

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 68,417 72,580 69,017 72,251 2,198 2,300 2,287 2,164 3.2 3.2 3.3 3.0

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 638,674 660,975 644,392 659,672 18,330 19,694 18,862 18,394 2.9 3.0 2.9 2.8

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344,666 343,273 344,510 343,689 11,186 10,084 8,720 7,902 3.2 2.9 2.5 2.3

Burlington-South Burlington. . . . . . . . . . . . 125,070 125,833 125,010 125,677 3,510 3,108 2,700 2,427 2.8 2.5 2.2 1.9

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,251,219 4,335,900 4,258,096 4,293,410 177,096 155,475 170,163 151,002 4.2 3.6 4.0 3.5

Blacksburg-Christiansburg-Radford. . . . . 92,612 94,906 92,350 93,623 4,258 3,560 4,109 3,359 4.6 3.8 4.4 3.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 117,348 120,368 116,523 118,385 4,266 3,765 4,180 3,624 3.6 3.1 3.6 3.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,900 67,422 65,558 66,907 2,634 2,344 2,591 2,210 4.0 3.5 4.0 3.3

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,985 123,787 121,743 121,794 5,662 5,121 5,438 4,916 4.6 4.1 4.5 4.0

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 664,154 686,543 667,386 679,574 28,699 25,776 27,238 25,076 4.3 3.8 4.1 3.7

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,563 162,143 158,039 160,552 6,484 5,873 6,261 5,625 4.1 3.6 4.0 3.5

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,412 60,631 59,223 60,020 2,348 2,040 2,320 2,056 4.0 3.4 3.9 3.4

Virginia Beach-Norfolk-Newport News. . . 836,717 840,271 836,247 830,349 39,571 34,054 37,417 33,181 4.7 4.1 4.5 4.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,639 71,191 69,479 70,904 2,585 2,248 2,512 2,139 3.7 3.2 3.6 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,666,453 3,772,310 3,681,300 3,762,673 185,885 164,255 184,152 158,960 5.1 4.4 5.0 4.2

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 106,225 110,768 108,774 113,257 6,034 4,972 6,130 4,707 5.7 4.5 5.6 4.2

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 116,280 119,629 118,126 121,991 6,600 5,523 6,676 5,341 5.7 4.6 5.7 4.4

Kennewick-Richland. . . . . . . . . . . . . . . . . . 135,511 139,190 134,693 138,622 7,988 6,343 8,096 6,363 5.9 4.6 6.0 4.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,716 45,838 45,010 46,134 3,230 2,467 3,218 2,384 7.2 5.4 7.1 5.2

Mount Vernon-Anacortes. . . . . . . . . . . . . . 58,197 60,745 58,765 60,744 3,648 2,837 3,699 2,757 6.3 4.7 6.3 4.5

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 130,483 135,608 132,621 137,219 7,215 6,071 7,316 5,979 5.5 4.5 5.5 4.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,041,588 2,089,345 2,039,888 2,070,342 90,341 86,689 86,905 82,596 4.4 4.1 4.3 4.0

Spokane-Spokane Valley. . . . . . . . . . . . . . 255,231 264,978 259,651 268,762 15,064 12,370 15,124 12,173 5.9 4.7 5.8 4.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 30,468 31,571 31,977 33,274 1,524 1,322 1,537 1,337 5.0 4.2 4.8 4.0

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 67,372 69,373 67,317 67,619 3,232 2,491 3,341 2,536 4.8 3.6 5.0 3.8

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,878 135,984 131,553 132,295 7,529 6,050 8,094 6,125 5.7 4.4 6.2 4.6

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 787,174 784,270 788,123 781,779 42,749 34,521 41,772 33,096 5.4 4.4 5.3 4.2

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,954 44,720 45,614 44,262 2,934 2,202 2,869 2,111 6.4 4.9 6.3 4.8

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 96,853 97,043 96,691 96,247 5,344 4,383 5,225 4,241 5.5 4.5 5.4 4.4

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,434 146,999 147,627 146,764 8,740 7,199 8,177 6,987 5.9 4.9 5.5 4.8

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 66,955 68,029 67,655 68,236 2,774 2,338 2,714 2,246 4.1 3.4 4.0 3.3

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 39,067 38,347 39,055 38,181 2,082 1,810 2,049 1,721 5.3 4.7 5.2 4.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,711 64,010 65,012 64,561 4,003 3,084 3,831 3,104 6.2 4.8 5.9 4.8

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,127,214 3,169,419 3,127,427 3,165,270 117,402 95,442 114,870 88,788 3.8 3.0 3.7 2.8

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,389 135,033 131,989 135,007 4,216 3,528 4,175 3,659 3.2 2.6 3.2 2.7

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,212 92,060 92,575 92,058 2,964 2,573 2,976 2,390 3.2 2.8 3.2 2.6

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,552 58,230 57,804 58,012 1,785 1,456 1,757 1,396 3.1 2.5 3.0 2.4

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 173,271 174,303 173,596 173,822 5,990 4,844 5,903 4,598 3.5 2.8 3.4 2.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,192 86,926 84,175 86,613 3,643 2,878 3,496 2,658 4.3 3.3 4.2 3.1

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,776 79,635 78,786 80,298 2,575 2,109 2,569 1,928 3.3 2.6 3.3 2.4

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384,484 393,537 386,814 395,378 10,797 9,225 11,048 8,680 2.8 2.3 2.9 2.2

Milwaukee-Waukesha-West Allis. . . . . . . 828,907 838,065 828,316 830,566 35,900 28,992 34,437 26,406 4.3 3.5 4.2 3.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,101 94,539 93,294 94,175 3,150 2,670 3,138 2,506 3.4 2.8 3.4 2.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,505 100,832 99,070 99,639 4,748 3,872 4,498 3,464 4.8 3.8 4.5 3.5

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,553 62,852 62,291 62,193 2,026 1,688 2,041 1,582 3.2 2.7 3.3 2.5

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,912 75,100 74,388 75,303 2,427 2,042 2,392 1,870 3.3 2.7 3.2 2.5

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,548 292,553 300,979 292,325 13,574 10,258 13,436 11,087 4.5 3.5 4.5 3.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,260 38,308 40,429 38,736 2,613 1,740 2,501 1,859 6.5 4.5 6.2 4.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,032 47,551 48,817 47,872 1,699 1,572 1,752 1,704 3.5 3.3 3.6 3.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,119,147 – 1,102,730 1,061,157 146,222 – 137,831 121,137 13.1 – 12.5 11.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 89,126 – 88,752 84,319 14,693 – 14,435 13,318 16.5 – 16.3 15.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,720 – 52,263 49,231 7,746 – 7,660 6,136 14.7 – 14.7 12.5

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 22,421 – 21,865 21,174 4,352 – 4,051 3,848 19.4 – 18.5 18.2

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 29,193 – 28,591 28,328 4,465 – 4,140 3,945 15.3 – 14.5 13.9

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,709 – 96,088 93,653 16,366 – 15,313 13,718 16.7 – 15.9 14.6

San German. . . . . . . . . . . . . . . . . . . . . . . . . 37,335 – 36,866 36,671 5,975 – 5,690 6,018 16.0 – 15.4 16.4

San Juan-Carolina-Caguas. . . . . . . . . . . . 745,435 – 731,884 704,478 83,606 – 78,254 66,573 11.2 – 10.7 9.4

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

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

p Preliminary

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

Management and Budget Bulletin No. 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

September October Number Percent of labor force

2016 2017 2016 2017p

September October September October

2016 2017 2016 2017p 2016 2017 2016 2017p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,186,046 19,450,716 19,201,496 19,353,387 1,004,338 918,466 1,007,701 837,435 5.2 4.7 5.2 4.3

Los Angeles-Long Beach-Anaheim. . . 6,679,796 6,812,473 6,680,714 6,770,590 332,444 310,702 324,880 277,552 5.0 4.6 4.9 4.1

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,606,923 1,612,984 1,608,745 1,606,551 63,904 58,043 64,979 52,555 4.0 3.6 4.0 3.3

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,072,873 5,199,489 5,071,969 5,164,039 268,540 252,659 259,901 224,997 5.3 4.9 5.1 4.4

San Francisco-Oakland-Hayward. . . . . 2,556,644 2,588,196 2,566,170 2,577,098 95,621 86,499 97,060 78,516 3.7 3.3 3.8 3.0

Oakland-Hayward-Berkeley. . . . . . . . 1,400,407 1,414,594 1,405,923 1,408,845 59,561 53,278 60,150 48,358 4.3 3.8 4.3 3.4

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,014,718 1,029,902 1,017,985 1,024,274 31,499 29,110 32,238 26,456 3.1 2.8 3.2 2.6

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,519 143,700 142,262 143,979 4,561 4,111 4,672 3,702 3.2 2.9 3.3 2.6

District of Columbia. . . . . . . . . . . . . . . . . . . 390,933 399,623 394,704 401,102 24,088 27,986 23,389 27,497 6.2 7.0 5.9 6.9

Washington-Arlington-Alexandria2. . . . 3,316,842 3,404,790 3,337,197 3,394,279 130,231 121,547 128,641 123,537 3.9 3.6 3.9 3.6

Silver Spring-Frederick-Rockville3.. . 682,823 704,751 685,982 702,083 23,474 20,211 23,471 22,268 3.4 2.9 3.4 3.2

Washington-Arlington-Alexandria2.. . 2,634,019 2,700,039 2,651,215 2,692,196 106,757 101,336 105,170 101,269 4.1 3.8 4.0 3.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,946,538 10,190,863 9,932,052 10,094,694 508,834 373,013 490,603 360,126 5.1 3.7 4.9 3.6

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,076,112 3,163,348 3,085,377 3,142,522 162,972 126,736 157,254 123,139 5.3 4.0 5.1 3.9

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,015,650 1,042,982 1,011,612 1,034,911 48,487 34,603 47,066 33,994 4.8 3.3 4.7 3.3

Miami-Miami Beach-Kendall. . . . . . . 1,345,375 1,390,750 1,357,687 1,385,367 76,973 65,231 74,553 63,285 5.7 4.7 5.5 4.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 715,087 729,616 716,078 722,244 37,512 26,902 35,635 25,860 5.2 3.7 5.0 3.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,517,022 6,419,956 6,520,067 6,431,632 364,791 293,870 363,282 301,911 5.6 4.6 5.6 4.7

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,906,234 4,856,218 4,909,472 4,860,658 269,640 225,886 272,019 230,537 5.5 4.7 5.5 4.7

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,780,509 3,747,227 3,783,546 3,753,860 212,408 179,252 216,835 183,914 5.6 4.8 5.7 4.9

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 323,564 315,202 324,341 317,373 16,433 12,840 16,059 13,402 5.1 4.1 5.0 4.2

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 341,795 336,293 342,883 333,849 18,677 16,594 17,649 15,585 5.5 4.9 5.1 4.7

Lake County-Kenosha County2. . . . 460,366 457,496 458,702 455,576 22,122 17,200 21,476 17,636 4.8 3.8 4.7 3.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,568,057 3,645,166 3,576,746 3,624,329 119,229 128,032 101,927 119,461 3.3 3.5 2.8 3.3

Boston-Cambridge-Nashua2. . . . . . . . . 2,631,273 2,689,540 2,643,751 2,681,283 81,748 87,787 70,763 81,960 3.1 3.3 2.7 3.1

Boston-Cambridge-Newton. . . . . . . . 1,559,249 1,601,324 1,568,339 1,596,426 45,730 50,092 39,396 46,648 2.9 3.1 2.5 2.9

Brockton-Bridgewater-Easton. . . . . . 104,368 106,395 104,833 106,035 4,038 4,313 3,352 3,940 3.9 4.1 3.2 3.7

Framingham. . . . . . . . . . . . . . . . . . . . . 153,475 156,591 154,226 155,392 4,281 4,703 3,685 4,383 2.8 3.0 2.4 2.8

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 113,072 114,832 113,270 114,155 3,496 3,557 3,140 3,383 3.1 3.1 2.8 3.0

Lawrence-Methuen Town-Salem2.. . 94,860 95,710 94,842 95,459 4,300 4,504 3,748 4,236 4.5 4.7 4.0 4.4

Lowell-Billerica-Chelmsford2. . . . . . . 183,904 186,819 184,250 186,327 6,347 6,582 5,448 6,218 3.5 3.5 3.0 3.3

Lynn-Saugus-Marblehead. . . . . . . . . 82,502 84,121 82,658 83,567 2,882 2,953 2,478 2,713 3.5 3.5 3.0 3.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 168,833 169,584 169,859 170,662 4,853 4,848 4,583 4,630 2.9 2.9 2.7 2.7

Peabody-Salem-Beverly. . . . . . . . . . . 89,374 91,357 89,891 91,089 2,814 3,059 2,398 2,862 3.1 3.3 2.7 3.1

Taunton-Middleborough-Norton. . . . 81,636 82,807 81,583 82,171 3,007 3,176 2,535 2,947 3.7 3.8 3.1 3.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,860,874 4,900,400 4,868,988 4,863,876 233,070 218,734 234,794 206,388 4.8 4.5 4.8 4.2

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,095,472 2,116,422 2,088,594 2,097,185 118,095 93,633 118,523 89,105 5.6 4.4 5.7 4.2

Detroit-Dearborn-Livonia. . . . . . . . . . 785,017 792,266 783,010 782,921 53,641 44,136 54,697 40,817 6.8 5.6 7.0 5.2

Warren-Troy-Farmington Hills. . . . . . 1,310,453 1,324,156 1,305,584 1,314,264 64,453 49,497 63,825 48,288 4.9 3.7 4.9 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,554,863 9,738,498 9,548,033 9,712,111 471,384 460,959 455,099 449,212 4.9 4.7 4.8 4.6

New York-Newark-Jersey City2. . . . . . 9,968,188 10,122,173 9,972,256 10,098,358 490,139 478,586 468,892 466,277 4.9 4.7 4.7 4.6

Dutchess County-Putnam County.. . 191,872 195,066 192,664 195,415 8,249 8,429 7,779 8,071 4.3 4.3 4.0 4.1

Nassau County-Suffolk County. . . . . 1,467,843 1,493,426 1,467,139 1,484,196 62,418 62,976 59,667 61,188 4.3 4.2 4.1 4.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,238,398 1,227,637 1,238,599 1,224,793 61,357 60,086 56,954 58,454 5.0 4.9 4.6 4.8

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,070,075 7,206,044 7,073,854 7,193,954 358,115 347,095 344,492 338,564 5.1 4.8 4.9 4.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,474,896 6,405,318 6,461,574 6,373,489 345,629 282,534 339,080 265,262 5.3 4.4 5.2 4.2

Philadelphia-Camden-Wilmington2. . . . 3,088,499 3,088,609 3,098,302 3,089,440 158,396 143,039 153,868 135,663 5.1 4.6 5.0 4.4

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 635,502 639,721 639,151 639,488 31,718 31,294 29,207 30,677 5.0 4.9 4.6 4.8

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,070,919 1,068,204 1,071,122 1,066,352 45,655 39,140 45,430 36,241 4.3 3.7 4.2 3.4

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,009,406 1,001,761 1,011,707 1,002,656 64,110 54,818 62,871 51,867 6.4 5.5 6.2 5.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . 372,672 378,923 376,322 380,944 16,913 17,787 16,360 16,878 4.5 4.7 4.3 4.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,359,661 13,498,742 13,338,725 13,392,285 646,980 543,922 612,866 470,201 4.8 4.0 4.6 3.5

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,720,102 3,804,779 3,720,265 3,768,428 148,645 127,863 142,480 113,120 4.0 3.4 3.8 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,507,695 2,566,491 2,508,786 2,543,271 98,401 85,938 94,466 76,188 3.9 3.3 3.8 3.0

Fort Worth-Arlington. . . . . . . . . . . . . . 1,212,407 1,238,288 1,211,479 1,225,157 50,244 41,925 48,014 36,932 4.1 3.4 4.0 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,666,453 3,772,310 3,681,300 3,762,673 185,885 164,255 184,152 158,960 5.1 4.4 5.0 4.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,041,588 2,089,345 2,039,888 2,070,342 90,341 86,689 86,905 82,596 4.4 4.1 4.3 4.0

Seattle-Bellevue-Everett. . . . . . . . . . . 1,636,498 1,666,034 1,631,040 1,643,223 66,044 66,506 62,494 62,692 4.0 4.0 3.8 3.8

Tacoma-Lakewood. . . . . . . . . . . . . . . 405,090 423,311 408,848 427,119 24,297 20,183 24,411 19,904 6.0 4.8 6.0 4.7

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

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,983.2 2,014.7 1,991.8 2,021.2 29.4 1.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.2 46.0 46.9 0.9 2.0

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.1 66.8 63.7 67.0 3.3 5.2

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522.1 525.1 522.5 525.6 3.1 0.6

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.9 76.6 72.4 76.4 4.0 5.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.0 53.5 54.1 0.6 1.1

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.0 57.8 58.3 0.5 0.9

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 57.4 57.5 57.7 0.2 0.3

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.9 38.3 39.2 0.9 2.3

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.3 232.8 228.8 234.4 5.6 2.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.1 179.0 180.4 179.1 -1.3 -0.7

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.8 173.7 174.0 175.0 1.0 0.6

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.3 109.1 106.5 108.9 2.4 2.3

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 342.1 343.1 324.6 325.0 0.4 0.1

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 182.3 177.2 177.7 0.5 0.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 38.8 37.7 37.5 -0.2 -0.5

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,726.3 2,763.8 2,750.5 2,782.5 32.0 1.2

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 68.9 68.8 68.5 -0.3 -0.4

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 49.3 48.6 49.3 0.7 1.4

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,988.2 2,025.8 2,008.5 2,043.1 34.6 1.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.1 63.5 63.2 -0.3 -0.5

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.5 34.8 34.3 35.2 0.9 2.6

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 376.8 374.3 380.3 376.4 -3.9 -1.0

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 54.2 55.0 55.0 0.0 0.0

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,237.4 1,258.8 1,243.3 1,266.8 23.5 1.9

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 249.3 256.1 250.5 258.2 7.7 3.1

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.6 114.1 114.9 114.2 -0.7 -0.6

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 38.3 37.4 37.9 0.5 1.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 57.4 56.7 57.4 0.7 1.2

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.3 356.7 356.6 358.4 1.8 0.5

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.2 33.9 33.3 -0.6 -1.8

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,549.2 16,805.3 16,686.5 16,944.7 258.2 1.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.0 258.8 256.9 261.7 4.8 1.9

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.6 83.0 82.4 84.1 1.7 2.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 52.1 51.8 52.6 0.8 1.5

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.5 344.1 341.1 347.4 6.3 1.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.6 40.4 39.1 39.7 0.6 1.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,983.6 6,043.1 6,040.3 6,089.2 48.9 0.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 38.8 37.6 39.1 1.5 4.0

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 67.7 67.0 67.7 0.7 1.0

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.0 178.9 175.1 177.1 2.0 1.1

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 75.5 73.2 75.1 1.9 2.6

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299.4 308.7 303.9 310.4 6.5 2.1

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 68.5 66.7 68.9 2.2 3.3

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,401.0 1,435.8 1,418.0 1,460.8 42.8 3.0

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 955.2 969.9 956.8 977.3 20.5 2.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.9 140.4 138.3 140.5 2.2 1.6

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,427.3 1,443.6 1,440.8 1,457.4 16.6 1.2

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,356.6 2,392.6 2,380.0 2,407.7 27.7 1.2

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,074.4 1,089.1 1,082.6 1,098.7 16.1 1.5

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 113.5 115.0 115.7 116.2 0.5 0.4

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.6 100.2 102.4 102.1 -0.3 -0.3

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.6 182.1 182.9 186.8 3.9 2.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.6 206.3 204.6 205.8 1.2 0.6

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229.3 230.2 230.5 231.9 1.4 0.6

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.6 138.4 137.8 139.2 1.4 1.0

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.2 127.4 125.6 127.3 1.7 1.4

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 43.9 43.4 44.0 0.6 1.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,618.4 2,663.9 2,628.2 2,666.5 38.3 1.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.0 191.8 187.9 193.2 5.3 2.8

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.5 286.1 283.5 286.7 3.2 1.1

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,443.3 1,464.1 1,452.6 1,466.6 14.0 1.0

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.3 170.1 165.0 169.7 4.7 2.8

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 61.8 62.1 61.7 -0.4 -0.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.0 103.9 101.2 105.3 4.1 4.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 62.6 62.2 62.9 0.7 1.1

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,681.6 1,684.6 1,691.1 1,692.2 1.1 0.1

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.8 413.4 409.9 412.8 2.9 0.7

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 79.7 79.2 79.7 0.5 0.6

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572.7 572.4 576.9 575.9 -1.0 -0.2

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.6 286.8 284.7 286.7 2.0 0.7

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.9 129.8 129.8 130.0 0.2 0.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.2 67.7 67.3 -0.4 -0.6

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455.2 457.7 455.1 458.2 3.1 0.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.2 69.6 70.1 70.2 0.1 0.1

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.1 164.2 154.7 158.0 3.3 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.0 793.3 790.1 797.5 7.4 0.9

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,241.5 3,293.4 3,260.0 3,306.4 46.4 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,402.0 8,492.0 8,466.5 8,664.3 197.8 2.3

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.4 248.6 259.4 258.2 -1.2 -0.5

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.5 113.6 111.6 114.0 2.4 2.2

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198.6 198.3 199.4 203.2 3.8 1.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 144.0 143.0 146.7 3.7 2.6

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.0 32.8 33.4 33.0 -0.4 -1.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 674.1 679.1 673.7 689.5 15.8 2.3

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.3 219.8 217.5 222.3 4.8 2.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,585.7 2,614.7 2,606.2 2,668.2 62.0 2.4

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.8 140.1 141.8 146.5 4.7 3.3

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292.5 301.7 297.8 309.0 11.2 3.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 102.8 101.9 104.0 2.1 2.1

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,214.7 1,240.8 1,219.7 1,256.5 36.8 3.0

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.7 213.1 212.1 216.3 4.2 2.0

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.8 85.1 83.6 85.5 1.9 2.3

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.4 176.7 174.6 177.4 2.8 1.6

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.9 143.6 144.0 147.9 3.9 2.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 48.2 47.8 49.1 1.3 2.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 50.9 50.4 51.8 1.4 2.8

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.7 27.0 26.7 27.3 0.6 2.2

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.0 181.8 181.8 183.4 1.6 0.9

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,300.8 1,320.4 1,313.1 1,341.8 28.7 2.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 28.1 27.5 28.4 0.9 3.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,405.4 4,482.3 4,439.0 4,527.0 88.0 2.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 62.2 63.3 62.9 -0.4 -0.6

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.5 98.4 94.8 98.9 4.1 4.3

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,684.6 2,754.3 2,708.2 2,774.0 65.8 2.4

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.2 240.1 235.2 241.4 6.2 2.6

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 43.8 44.1 44.1 0.0 0.0

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.0 121.0 121.0 121.6 0.6 0.5

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 70.8 69.7 70.3 0.6 0.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.7 89.5 88.3 90.5 2.2 2.5

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.3 20.5 20.2 20.5 0.3 1.5

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.0 103.1 103.4 103.3 -0.1 -0.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.1 41.2 41.3 0.1 0.2

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.7 178.8 176.2 181.4 5.2 3.0

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 56.7 56.9 57.1 0.2 0.4

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 74.5 73.3 74.4 1.1 1.5

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 648.8 656.0 653.2 660.3 7.1 1.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 75.9 74.5 76.3 1.8 2.4

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477.3 482.8 481.6 486.3 4.7 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 707.9 722.5 709.6 726.2 16.6 2.3

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.4 320.5 311.2 322.4 11.2 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 63.8 62.5 63.1 0.6 1.0

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.6 65.2 64.6 65.7 1.1 1.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 29.6 29.2 29.7 0.5 1.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.9 36.5 36.4 37.2 0.8 2.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,057.0 6,072.1 6,089.2 6,107.4 18.2 0.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.7 95.1 95.0 95.9 0.9 0.9

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 58.9 58.0 59.2 1.2 2.1

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.0 110.7 112.5 111.9 -0.6 -0.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,687.2 4,705.1 4,710.1 4,731.8 21.7 0.5

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.5 27.9 28.6 28.3 -0.3 -1.0

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.9 183.8 184.1 185.1 1.0 0.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 51.4 51.7 51.5 -0.2 -0.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 45.8 45.3 46.2 0.9 2.0

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.1 176.6 176.8 177.1 0.3 0.2

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.7 151.1 152.5 151.9 -0.6 -0.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.4 116.3 116.6 115.5 -1.1 -0.9

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,123.9 3,157.5 3,134.2 3,163.4 29.2 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 79.4 79.1 79.6 0.5 0.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 54.4 52.8 54.9 2.1 4.0

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.3 139.3 133.1 140.0 6.9 5.2

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.9 162.7 160.3 163.0 2.7 1.7

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.4 223.7 223.1 223.7 0.6 0.3

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,056.3 1,077.3 1,057.4 1,079.8 22.4 2.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 43.3 42.3 43.4 1.1 2.6

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 108.0 106.3 109.3 3.0 2.8

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 40.8 41.8 40.6 -1.2 -2.9

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 52.5 52.5 53.0 0.5 1.0

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.9 143.3 144.8 144.0 -0.8 -0.6

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.8 72.9 72.3 72.8 0.5 0.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,579.4 1,592.3 1,590.6 1,602.8 12.2 0.8

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 55.6 54.9 56.2 1.3 2.4

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.6 145.6 144.7 146.3 1.6 1.1

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.7 366.4 362.4 370.5 8.1 2.2

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 59.9 60.4 60.3 -0.1 -0.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.0 104.9 103.1 105.2 2.1 2.0

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.1 88.1 88.3 88.3 0.0 0.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.5 91.5 92.6 92.1 -0.5 -0.5

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,418.5 1,413.0 1,428.2 1,423.0 -5.2 -0.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.8 54.9 56.2 55.5 -0.7 -1.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 44.8 46.4 45.5 -0.9 -1.9

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.5 114.1 114.2 114.4 0.2 0.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 296.9 300.7 298.8 303.0 4.2 1.4

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,924.2 1,954.7 1,928.4 1,957.4 29.0 1.5

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.3 77.5 76.6 77.7 1.1 1.4

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 58.3 57.1 58.0 0.9 1.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.0 282.3 280.6 284.3 3.7 1.3

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665.2 677.0 661.7 678.9 17.2 2.6

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.0 53.5 53.7 0.2 0.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,967.3 1,980.8 1,982.8 1,992.0 9.2 0.5

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 62.4 63.4 62.7 -0.7 -1.1

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405.4 411.9 409.4 413.6 4.2 1.0

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 45.6 45.3 46.1 0.8 1.8

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.4 85.6 87.6 85.9 -1.7 -1.9

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

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.9 199.0 200.1 199.4 -0.7 -0.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.3 115.1 112.0 116.7 4.7 4.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 79.3 79.8 80.3 0.5 0.6

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.1 575.9 578.4 578.8 0.4 0.1

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.9 178.5 180.7 178.1 -2.6 -1.4

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630.5 634.0 625.7 630.9 5.2 0.8

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.1 67.4 67.6 67.7 0.1 0.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 52.0 51.8 52.6 0.8 1.5

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.0 208.1 203.8 208.2 4.4 2.2

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,725.4 2,783.8 2,732.7 2,787.2 54.5 2.0

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,402.5 1,413.4 1,408.6 1,419.2 10.6 0.8

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.6 45.3 45.7 0.4 0.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 39.3 39.8 39.4 -0.4 -1.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.2 106.7 108.7 107.7 -1.0 -0.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,587.9 3,650.2 3,608.3 3,677.1 68.8 1.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.9 113.1 106.3 110.3 4.0 3.8

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,714.9 2,775.0 2,735.1 2,797.4 62.3 2.3

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.6 52.0 52.8 0.8 1.5

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 70.4 68.5 70.6 2.1 3.1

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 42.7 41.9 42.3 0.4 1.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 334.8 340.8 339.2 345.4 6.2 1.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.6 287.2 287.2 290.4 3.2 1.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,365.5 4,428.3 4,408.7 4,453.3 44.6 1.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.8 226.0 222.1 228.9 6.8 3.1

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 59.9 59.8 60.1 0.3 0.5

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

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,987.7 2,022.6 2,000.1 2,029.4 29.3 1.5

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.1 141.2 142.3 142.5 0.2 0.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547.2 560.6 553.5 565.1 11.6 2.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.0 58.5 58.4 58.8 0.4 0.7

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.9 151.6 149.8 152.8 3.0 2.0

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234.0 235.8 237.3 238.9 1.6 0.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 37.9 37.9 37.6 -0.3 -0.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 43.2 42.9 43.7 0.8 1.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 64.2 63.3 64.1 0.8 1.3

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.1 63.4 62.7 63.0 0.3 0.5

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.5 90.8 89.3 91.5 2.2 2.5

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,923.2 2,964.8 2,934.1 2,976.0 41.9 1.4

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.6 139.2 137.1 139.3 2.2 1.6

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 58.4 59.0 59.9 0.9 1.5

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,978.3 2,020.5 1,984.2 2,032.0 47.8 2.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.4 120.1 119.4 120.2 0.8 0.7

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.9 110.5 109.6 111.5 1.9 1.7

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,149.6 1,153.8 1,153.0 1,159.6 6.6 0.6

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.8 154.8 155.0 155.9 0.9 0.6

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 64.9 64.4 65.5 1.1 1.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.9 279.1 281.2 281.9 0.7 0.2

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,861.3 2,903.4 2,883.7 2,914.3 30.6 1.1

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 41.7 44.4 42.1 -2.3 -5.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.7 102.4 101.2 103.3 2.1 2.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 77.5 78.0 77.6 -0.4 -0.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.4 82.2 80.9 83.0 2.1 2.6

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,077.5 1,089.4 1,083.3 1,091.8 8.5 0.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 63.0 64.4 63.4 -1.0 -1.6

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,370.2 1,383.1 1,379.7 1,392.3 12.6 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.5 217.0 213.3 217.3 4.0 1.9

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474.3 481.6 473.8 479.5 5.7 1.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 87.1 86.0 86.8 0.8 0.9

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 36.3 36.3 36.2 -0.1 -0.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.4 62.4 61.6 62.4 0.8 1.3

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019.0 1,034.1 1,025.5 1,035.5 10.0 1.0

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 43.0 42.8 42.7 -0.1 -0.2

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.2 192.7 191.2 193.1 1.9 1.0

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499.2 509.4 502.5 511.1 8.6 1.7

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,316.5 1,353.7 1,323.3 1,360.2 36.9 2.8

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.9 29.2 28.9 29.6 0.7 2.4

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 960.1 984.8 964.8 989.1 24.3 2.5

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.2 229.1 227.0 230.3 3.3 1.5

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 674.3 680.3 678.7 685.4 6.7 1.0

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 54.5 55.7 55.6 -0.1 -0.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 112.9 111.5 112.6 1.1 1.0

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.6 92.1 92.5 91.8 -0.7 -0.8

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,102.8 4,133.3 4,112.8 4,142.6 29.8 0.7

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.5 134.7 130.5 133.6 3.1 2.4

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.8 50.3 40.8 43.2 2.4 5.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.6 268.7 268.5 269.5 1.0 0.4

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 61.1 58.8 61.3 2.5 4.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 833.1 844.0 835.4 848.5 13.1 1.6

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.7 394.3 390.2 396.2 6.0 1.5

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.2 48.1 48.9 48.8 -0.1 -0.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.6 72.6 74.0 73.6 -0.4 -0.5

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.7 63.8 64.2 0.4 0.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,420.0 9,527.5 9,512.7 9,615.5 102.8 1.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.1 465.3 470.5 472.5 2.0 0.4

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 104.8 105.6 105.9 0.3 0.3

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 564.9 563.0 572.1 569.4 -2.7 -0.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 36.7 37.6 36.9 -0.7 -1.9

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 57.2 56.5 57.2 0.7 1.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 66.4 66.0 67.8 1.8 2.7

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 63.0 63.0 63.6 0.6 1.0

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,544.2 9,631.7 9,628.1 9,719.4 91.3 0.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.3 530.2 539.1 535.6 -3.5 -0.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.7 320.4 321.3 323.6 2.3 0.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.2 128.3 128.2 129.2 1.0 0.8

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.0 43.7 42.8 43.2 0.4 0.9

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,370.7 4,437.3 4,393.0 4,468.1 75.1 1.7

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.0 190.4 191.0 193.0 2.0 1.0

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 62.4 62.1 62.9 0.8 1.3

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,158.0 1,181.4 1,170.6 1,193.8 23.2 2.0

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304.6 313.4 305.5 316.2 10.7 3.5

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.9 131.8 129.3 132.6 3.3 2.6

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.4 41.6 41.4 -0.2 -0.5

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359.1 362.8 362.0 364.1 2.1 0.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 79.2 79.1 79.2 0.1 0.1

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.1 151.9 152.0 152.5 0.5 0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 49.7 48.9 50.0 1.1 2.2

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.2 44.9 45.0 0.1 0.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 606.4 624.3 609.7 627.9 18.2 3.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 56.7 58.3 57.7 -0.6 -1.0

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.1 128.6 124.5 128.6 4.1 3.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.3 263.2 263.1 264.0 0.9 0.3

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439.7 444.4 442.8 445.5 2.7 0.6

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 73.3 75.0 74.4 -0.6 -0.8

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 145.3 143.7 146.1 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

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 57.9 59.7 58.1 -1.6 -2.7

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,513.9 5,572.9 5,539.2 5,599.2 60.0 1.1

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.0 339.9 345.5 343.2 -2.3 -0.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.6 171.9 173.0 172.7 -0.3 -0.2

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,087.8 1,111.5 1,092.8 1,108.5 15.7 1.4

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,057.1 1,067.1 1,061.3 1,075.8 14.5 1.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,070.3 1,093.7 1,078.9 1,096.1 17.2 1.6

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386.2 389.5 386.8 393.1 6.3 1.6

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 52.9 53.0 53.2 0.2 0.4

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 53.2 53.1 53.1 0.0 0.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.4 50.1 50.4 0.3 0.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.8 313.6 314.3 315.3 1.0 0.3

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 41.7 42.3 41.8 -0.5 -1.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.7 221.6 225.9 224.6 -1.3 -0.6

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,651.7 1,669.0 1,662.5 1,682.6 20.1 1.2

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.7 28.5 27.9 28.7 0.8 2.9

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 45.6 45.9 46.0 0.1 0.2

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629.5 639.3 633.5 642.6 9.1 1.4

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443.0 445.9 448.4 452.2 3.8 0.8

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,846.4 1,886.2 1,860.5 1,907.2 46.7 2.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.8 44.8 44.3 45.7 1.4 3.2

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 82.5 79.9 82.1 2.2 2.8

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.8 41.2 42.4 43.4 1.0 2.4

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.6 159.8 159.5 163.1 3.6 2.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.2 26.5 26.2 26.5 0.3 1.1

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.8 87.2 87.2 88.4 1.2 1.4

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,151.4 1,176.0 1,159.6 1,182.1 22.5 1.9

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.5 166.0 165.0 166.2 1.2 0.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,924.5 5,993.7 5,963.1 6,029.0 65.9 1.1

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366.6 365.4 366.9 366.7 -0.2 -0.1

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 60.9 61.7 60.1 -1.6 -2.6

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 43.1 43.0 43.4 0.4 0.9

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 60.5 60.1 60.9 0.8 1.3

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.2 57.8 57.5 -0.3 -0.5

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.0 130.9 129.4 130.7 1.3 1.0

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.1 36.2 35.4 36.6 1.2 3.4

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340.0 347.0 340.8 347.3 6.5 1.9

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.1 56.7 57.2 0.5 0.9

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.2 256.2 253.0 256.1 3.1 1.2

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.1 52.2 52.2 0.0 0.0

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,886.5 2,926.3 2,912.5 2,951.3 38.8 1.3

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,168.1 1,184.0 1,175.3 1,187.4 12.1 1.0

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.1 180.4 178.7 181.1 2.4 1.3

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.9 263.8 263.3 265.5 2.2 0.8

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 78.5 80.6 80.1 -0.5 -0.6

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 53.2 53.8 53.3 -0.5 -0.9

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.7 184.9 185.5 185.7 0.2 0.1

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 494.7 499.9 497.6 502.3 4.7 0.9

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 588.9 592.3 592.9 596.0 3.1 0.5

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,065.7 2,094.4 2,064.4 2,106.8 42.4 2.1

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348.1 353.2 348.4 356.5 8.1 2.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.5 395.7 395.3 398.8 3.5 0.9

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.9 89.0 87.9 89.1 1.2 1.4

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410.1 415.7 413.6 418.7 5.1 1.2

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.0 77.5 76.1 77.4 1.3 1.7

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.4 166.0 157.1 163.4 6.3 4.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.4 152.1 149.7 152.1 2.4 1.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 38.7 39.2 39.2 0.0 0.0

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 436.6 439.3 437.9 438.5 0.6 0.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 69.2 67.6 68.7 1.1 1.6

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.4 155.4 154.2 154.3 0.1 0.1

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,994.7 3,036.4 3,012.2 3,047.5 35.3 1.2

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.6 259.6 255.2 261.1 5.9 2.3

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.7 90.2 90.3 90.0 -0.3 -0.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.7 49.2 48.0 50.0 2.0 4.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 69.5 68.9 69.4 0.5 0.7

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.1 81.3 80.2 81.7 1.5 1.9

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.3 122.4 122.9 122.8 -0.1 -0.1

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.8 398.5 400.7 398.5 -2.2 -0.5

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639.6 644.6 645.8 648.5 2.7 0.4

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.9 46.7 47.7 1.0 2.1

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 961.1 989.5 967.2 993.5 26.3 2.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,051.0 12,309.5 12,132.6 12,448.6 316.0 2.6

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.0 67.9 68.6 68.6 0.0 0.0

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.7 121.0 120.6 122.4 1.8 1.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,004.6 1,027.5 1,014.4 1,036.6 22.2 2.2

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.9 160.8 164.8 163.4 -1.4 -0.8

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.4 142.5 142.1 143.1 1.0 0.7

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.1 119.0 117.2 121.8 4.6 3.9

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.3 194.6 190.6 197.1 6.5 3.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,530.4 3,625.3 3,555.7 3,650.1 94.4 2.7

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.3 319.2 313.6 320.6 7.0 2.2

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,994.1 3,018.4 3,013.5 3,061.6 48.1 1.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.8 147.9 145.5 149.5 4.0 2.7

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.7 104.3 103.7 104.8 1.1 1.1

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.4 97.3 97.1 98.4 1.3 1.3

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.7 147.5 146.6 148.6 2.0 1.4

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.5 256.4 254.1 259.6 5.5 2.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.8 89.1 87.1 89.0 1.9 2.2

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.3 70.6 69.4 71.1 1.7 2.4

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.5 48.3 48.6 49.3 0.7 1.4

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,023.5 1,048.0 1,024.8 1,054.9 30.1 2.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 47.0 46.5 46.9 0.4 0.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 60.0 60.8 60.6 -0.2 -0.3

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 106.8 106.0 108.0 2.0 1.9

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.1 41.9 42.3 42.4 0.1 0.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.5 118.8 119.4 118.9 -0.5 -0.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 57.5 57.6 58.2 0.6 1.0

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,446.0 1,485.3 1,453.2 1,492.6 39.4 2.7

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 62.4 61.3 63.0 1.7 2.8

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.7 255.4 251.2 255.9 4.7 1.9

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242.5 250.1 243.8 252.9 9.1 3.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 65.5 63.0 65.8 2.8 4.4

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 707.6 724.9 714.4 730.4 16.0 2.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.2 317.7 317.1 320.4 3.3 1.0

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.1 126.6 126.4 127.6 1.2 0.9

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,939.0 3,981.1 3,960.6 3,994.8 34.2 0.9

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.6 80.7 79.8 81.0 1.2 1.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.6 118.6 116.3 118.5 2.2 1.9

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 69.5 68.6 70.3 1.7 2.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.8 104.9 105.1 104.6 -0.5 -0.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 667.3 679.7 672.3 681.3 9.0 1.3

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.8 165.1 163.8 165.7 1.9 1.2

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 51.2 50.9 51.3 0.4 0.8

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 776.8 768.4 777.9 768.8 -9.1 -1.2

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.4 62.7 64.1 1.4 2.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,280.7 3,345.9 3,297.7 3,366.3 68.6 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

September October

Change from

October 2016 to October

2017p

2016 2017 2016 2017p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.3 93.5 93.5 95.5 2.0 2.1

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.1 89.2 89.8 90.5 0.7 0.8

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.6 113.4 111.7 113.2 1.5 1.3

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 39.8 39.7 39.8 0.1 0.3

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 51.2 49.8 50.8 1.0 2.0

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.7 116.3 115.9 117.0 1.1 0.9

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,972.0 2,013.9 1,978.4 2,025.0 46.6 2.4

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.7 247.6 245.7 249.1 3.4 1.4

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.5 28.0 28.4 29.1 0.7 2.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 47.0 45.9 46.8 0.9 2.0

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.8 86.5 85.4 87.3 1.9 2.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749.2 751.3 755.0 758.1 3.1 0.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 44.8 45.3 44.5 -0.8 -1.8

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.7 120.0 119.0 119.5 0.5 0.4

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.0 138.7 140.3 139.5 -0.8 -0.6

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.0 72.5 72.0 73.1 1.1 1.5

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.7 39.9 40.8 39.9 -0.9 -2.2

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 66.4 66.9 67.2 0.3 0.4

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,941.9 2,979.0 2,961.6 3,004.3 42.7 1.4

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.1 128.5 126.6 129.0 2.4 1.9

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.6 85.5 87.2 85.7 -1.5 -1.7

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 48.9 49.1 48.8 -0.3 -0.6

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.2 177.0 178.4 177.8 -0.6 -0.3

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 69.8 67.9 70.1 2.2 3.2

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 80.1 79.7 81.4 1.7 2.1

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 404.8 402.7 409.5 6.8 1.7

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 866.3 869.4 868.9 871.0 2.1 0.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.3 97.3 97.6 97.9 0.3 0.3

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 78.1 77.4 78.1 0.7 0.9

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 62.3 62.6 61.9 -0.7 -1.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 73.3 73.5 74.0 0.5 0.7

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.1 282.1 280.0 278.6 -1.4 -0.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 38.3 38.3 38.4 0.1 0.3

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 47.3 46.5 47.5 1.0 2.2

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 890.9 869.6 893.7 843.3 -50.4 -5.6

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 49.9 51.2 47.8 -3.4 -6.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 32.4 33.9 32.0 -1.9 -5.6

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.3 14.7 15.3 14.4 -0.9 -5.9

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.2 33.9 32.8 -1.1 -3.2

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.6 68.6 71.1 68.6 -2.5 -3.5

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.0 20.5 21.1 20.2 -0.9 -4.3

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645.3 629.1 647.2 610.9 -36.3 -5.6

Virgin Islands3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.5 – 37.8 – – –

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

the first principal city.

2 Area boundary does not reflect official OMB delineation.

3 Data not available for September and October 2017. Given the lack of adequate sample data, reliable September and October 2017 estimates for 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

September October Change from

October 2016 to October 2017p

2016 2017 2016 2017p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,549.2 16,805.3 16,686.5 16,944.7 258.2 1.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,983.6 6,043.1 6,040.3 6,089.2 48.9 0.8

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,585.8 1,592.8 1,595.3 1,603.8 8.5 0.5

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,397.8 4,450.3 4,445.0 4,485.4 40.4 0.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,356.6 2,392.6 2,380.0 2,407.7 27.7 1.2

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,140.0 1,155.6 1,152.2 1,164.1 11.9 1.0

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,101.7 1,120.1 1,111.8 1,125.0 13.2 1.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.9 116.9 116.0 118.6 2.6 2.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 784.0 793.3 790.1 797.5 7.4 0.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,241.5 3,293.4 3,260.0 3,306.4 46.4 1.4

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595.4 608.3 599.6 609.0 9.4 1.6

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,646.1 2,685.1 2,660.4 2,697.4 37.0 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,402.0 8,492.0 8,466.5 8,664.3 197.8 2.3

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,585.7 2,614.7 2,606.2 2,668.2 62.0 2.4

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 820.9 835.5 825.8 851.0 25.2 3.1

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,159.6 1,167.8 1,168.0 1,195.9 27.9 2.4

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 605.2 611.4 612.4 621.3 8.9 1.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,057.0 6,072.1 6,089.2 6,107.4 18.2 0.3

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,687.2 4,705.1 4,710.1 4,731.8 21.7 0.5

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,734.7 3,753.0 3,755.3 3,776.1 20.8 0.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.0 255.7 259.2 258.5 -0.7 -0.3

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.6 276.7 282.8 279.1 -3.7 -1.3

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413.9 419.7 412.8 418.1 5.3 1.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,587.9 3,650.2 3,608.3 3,677.1 68.8 1.9

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,714.9 2,775.0 2,735.1 2,797.4 62.3 2.3

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,824.3 1,871.8 1,839.8 1,890.1 50.3 2.7

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.1 81.7 82.3 82.7 0.4 0.5

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.4 175.7 174.5 175.6 1.1 0.6

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 69.3 67.6 68.9 1.3 1.9

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.6 83.7 83.7 84.3 0.6 0.7

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.6 155.8 155.2 157.2 2.0 1.3

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.4 45.4 46.2 0.8 1.8

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.0 131.6 128.7 132.5 3.8 3.0

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.9 98.4 97.8 99.4 1.6 1.6

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.6 60.1 60.5 0.4 0.7

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,365.5 4,428.3 4,408.7 4,453.3 44.6 1.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,987.7 2,022.6 2,000.1 2,029.4 29.3 1.5

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 749.1 762.3 753.4 764.2 10.8 1.4

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,238.6 1,260.3 1,246.7 1,265.2 18.5 1.5

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,420.0 9,527.5 9,512.7 9,615.5 102.8 1.1

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,544.2 9,631.7 9,628.1 9,719.4 91.3 0.9

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.2 146.3 148.1 149.0 0.9 0.6

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,334.7 1,344.5 1,346.8 1,351.0 4.2 0.3

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,196.4 1,191.0 1,199.9 1,195.6 -4.3 -0.4

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,867.9 6,949.9 6,933.3 7,023.8 90.5 1.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,924.5 5,993.7 5,963.1 6,029.0 65.9 1.1

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,886.5 2,926.3 2,912.5 2,951.3 38.8 1.3

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.3 539.1 538.3 542.8 4.5 0.8

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,053.2 1,069.5 1,060.4 1,078.0 17.6 1.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 943.0 955.1 953.6 965.8 12.2 1.3

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.0 362.6 360.2 364.7 4.5 1.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,051.0 12,309.5 12,132.6 12,448.6 316.0 2.6

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,530.4 3,625.3 3,555.7 3,650.1 94.4 2.7

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,516.8 2,584.5 2,535.6 2,603.5 67.9 2.7

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013.6 1,040.8 1,020.1 1,046.6 26.5 2.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,280.7 3,345.9 3,297.7 3,366.3 68.6 2.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,972.0 2,013.9 1,978.4 2,025.0 46.6 2.4

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,660.6 1,694.1 1,667.8 1,706.1 38.3 2.3

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.4 319.8 310.6 318.9 8.3 2.7

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

October 2017

(U.S. rate = 3.9 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, October 2017

(U.S. average = 1.4 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Managment and Budget Bulletin No. 15-

01. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.