For release 10:00 a.m. (EST) Thursday, November 29, 2018 USDL-18-1887 

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 2018

Unemployment rates were lower in October than a year earlier in 272 of the 388 metropolitan areas,

higher in 95 areas, and unchanged in 21 areas, the U.S. Bureau of Labor Statistics reported today. A 

total of 102 areas had jobless rates of less than 3.0 percent and 2 areas had rates of at least 10.0 percent. 

Nonfarm payroll employment increased over the year in 56 metropolitan areas and was essentially 

unchanged in 332 areas. The national unemployment rate in October was 3.5 percent, not seasonally 

adjusted, down from 3.9 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted)

In October, Ames, IA, had the lowest unemployment rate, 1.1 percent. El Centro, CA, and Yuma, AZ, 

had the highest unemployment rates, 19.2 percent and 17.7 percent, respectively. A total of 194 areas 

had October jobless rates above the U.S. rate of 3.5 percent, 173 areas had rates below it, and 21 areas 

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

The largest over-the-year unemployment rate decreases occurred in Ocean City, NJ (-1.9 percentage 

points), and Atlantic City-Hammonton, NJ (-1.8 points). Thirty-two additional areas had rate declines of 

at least 1.0 percentage point. Bloomington, IN, and Texarkana, TX-AR, had the largest over-the-year 

rate increases in October (+0.9 percentage point each).

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Minneapolis-St. PaulBloomington, MN-WI, had the lowest unemployment rate in October, 2.1 percent. Cleveland-Elyria, 

OH, had the highest jobless rate among the large areas, 4.5 percent. Thirty-six large areas had over-theyear unemployment rate decreases, 10 had increases, and 5 had no change. The largest rate decreases

Hurricane Michael

Hurricane Michael made landfall in the Florida Panhandle on October 10, 2018, during the 

reference periods for both the establishment and household surveys. Response rates for the two 

surveys were within normal ranges for the affected areas. 
- 2 - 

occurred in Buffalo-Cheektowaga-Niagara Falls, NY (-1.3 percentage points), and Rochester, NY (-1.2 

points). The largest over-the-year rate increases were in Indianapolis-Carmel-Anderson, IN; 

Louisville/Jefferson County, KY-IN; Memphis, TN-MS-AR; and Nashville-Davidson—Murfreesboro—

Franklin, TN (+0.4 percentage point each).

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, had the lowest unemployment rate among the divisions, 2.2 percent. DetroitDearborn-Livonia, MI, had the highest division rate, 5.4 percent. (See table 2.)

In October, 30 metropolitan divisions had over-the-year unemployment rate decreases, 5 had increases, 

and 3 had no change. The largest rate declines occurred in Dutchess County-Putnam County, NY; 

Miami-Miami Beach-Kendall, FL; and Nassau County-Suffolk County, NY (-1.1 percentage points 

each). The largest over-the-year rate increase was in Elgin, IL (+0.5 percentage point).

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In October, 56 metropolitan areas had over-the-year increases in nonfarm payroll employment and 332 

were essentially unchanged. The largest over-the-year employment increases occurred in Houston-The 

Woodlands-Sugar Land, TX (+117,800), Dallas-Fort Worth-Arlington, TX (+109,000), and New YorkNewark-Jersey City, NY-NJ-PA (+108,500). The largest over-the-year percentage gains in employment 

occurred in Midland, TX (+9.2 percent), Colorado Springs, CO (+5.4 percent), and Reno, NV (+4.5 

percent). (See table 3 and map 2.)

Over the year, nonfarm employment rose in 37 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 14 areas. The largest 

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

Orlando-Kissimmee-Sanford, FL (+4.4 percent), and Austin-Round Rock, TX, and Houston-The 

Woodlands-Sugar Land, TX (+3.9 percent each).

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In October, nonfarm payroll employment increased in 16 of the 38 metropolitan divisions over the year 

and was essentially unchanged in 22 divisions. The largest over-the-year increase in employment among 

the metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+85,800), followed 

by Dallas-Plano-Irving, TX (+85,000), and Seattle-Bellevue-Everett, WA (+62,000). (See table 4.)

The largest over-the-year percentage increases in employment occurred in Seattle-Bellevue-Everett, 

WA, and Tacoma-Lakewood, WA (+3.6 percent each), followed by Dallas-Plano-Irving, TX (+3.3 

percent).

_____________ 

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

released on Friday, December 21, 2018, at 10:00 a.m. (EST). The Metropolitan Area

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

Thursday, January 3, 2019, at 10:00 a.m. (EST).
Technical Note

This release presents civilian labor force and unemployment 

data from the Local Area Unemployment Statistics (LAUS) 

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

and metropolitan New England City and Town Areas 

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

metropolitan and NECTA divisions also are presented. 

Nonfarm payroll employment estimates from the Current 

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

provided for the same areas. State estimates were previously 

published in the news release State Employment and 

Unemployment, and are republished in this release for ease of 

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

cooperative endeavors.

Civilian labor force and unemployment—from the 

LAUS program 

Definitions. The civilian labor force and unemployment 

data are based on the same concepts and definitions as those 

used for the official national estimates obtained from the 

Current Population Survey (CPS), a sample survey of 

households that is conducted for the Bureau of Labor Statistics 

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

measures employed persons and unemployed persons on a 

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

noninstitutional population 16 years of age and older. 

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

profit in the reference week (typically the week including the 

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

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

job from which they were temporarily absent, whether or not 

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

vacation. Unemployed persons are those who were not 

employed during the reference week (based on the definition 

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

period ending with the reference week, and were currently 

available for work; persons on layoff expecting recall need not 

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

labor force is the sum of employed and unemployed persons. 

The unemployment rate is the number of unemployed as a 

percent of the civilian labor force. 

Method of estimation. Estimates for states, the District 

of Columbia, the Los Angeles-Long Beach-Glendale 

metropolitan division, and New York City are produced using 

time-series models with real-time benchmarking to national 

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

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

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

improves the statistical basis of the estimation for these areas 

and provides important tools for analysis, such as measures of 

errors and seasonally adjusted series. For all other substate 

areas in this release, estimates are prepared through indirect 

estimation procedures using a building-block approach. 

Estimates of employed persons, which are based largely on 

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

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

Unemployment estimates are aggregates of persons previously 

employed in industries covered by state unemployment 

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

CPS. The substate estimates of employment and 

unemployment, which geographically exhaust the entire state, 

are adjusted proportionally to ensure that they add to the 

independently estimated model-based area totals. A detailed 

description of the estimation procedures is available from BLS 

upon request.

Annual revisions. Civilian labor force and 

unemployment data shown for the prior year reflect 

adjustments made at the beginning of each year, usually 

implemented with the issuance of January estimates. The 

adjusted model-based estimates typically reflect updated 

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

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

estimates then are re-estimated using updated inputs and 

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

2015, a new generation of time-series models was

implemented, resulting in the replacement of data back to the 

series beginnings. At the same time, enhancements were made 

to the substate estimation methodology, and more timely inputs 

from the American Community Survey were incorporated.

Employment—from the CES program 

Definitions. Employment data refer to persons on 

establishment payrolls who receive pay for any part of the pay 

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

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

those appearing on more than one payroll are counted on each 

payroll. Industries are classified on the basis of their principal 

activity in accordance with the 2017 version of the North 

American Industry Classification System. 

Method of estimation. CES State and Area employment 

data are produced using several estimation procedures. Where 

possible these data are produced using a "weighted link 

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

weighted employment to that of the previous-month weighted 

employment is computed from a sample of establishments 

reporting for both months. The estimates of employment for the 

current month are then obtained by multiplying these ratios by 

the previous month’s employment estimates. The weighted link 

relative technique is utilized for data series where the sample 

size meets certain statistical criteria.

For some employment series, the sample of 

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

use the direct sample estimates (described above), combined 

with forecasts of historical (benchmarked) data to decrease 

volatility in estimation. Two different models (Fay-Herriot 

Model and Small Domain Model) are used depending on the 

industry level being estimated. For more detailed information 

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

Annual revisions. Employment estimates are adjusted 

annually to a complete count of jobs, called benchmarks, 

derived principally from tax reports that are submitted by 

employers who are covered under state unemployment 

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

adjust the monthly estimates between the new benchmark and 

the preceding one and also to establish the level of employment 

for the new benchmark month. Thus, the benchmarking process 

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

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

subsequent months. 

Seasonal adjustment. Payroll employment data are 

seasonally adjusted for states, metropolitan areas, and 

metropolitan divisions at the total nonfarm level. For states, 

data are seasonally adjusted at the supersector level as well. 

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

once a year, coincident with annual benchmark adjustments.

Beginning with the release of January 2018 preliminary 

estimates, payroll employment data are seasonally adjusted 

concurrently, using all available estimates including those for 

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

Concurrent sample-based factors are created every month for 

the current month's preliminary estimate as well as the

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

were forecasted once annually at the beginning of the year and 

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

year.

Reliability of the estimates

The estimates presented in this release are based on 

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

are subject to sampling and other types of errors. Sampling 

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

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding.

Use of error measures

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

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

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

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

Employment estimates. Changes in metropolitan area 

nonfarm payroll employment are cited in the analysis of this 

release only if they have been determined to be statistically 

significant at the 90-percent confidence level. Measures of 

sampling error for the total nonfarm employment series are 

available for metropolitan areas and metropolitan divisions at 

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

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

available upon request. Measures of sampling error for states at 

the supersector level and for the private service-providing, 

goods-producing, total private and total nonfarm levels are 

available on the BLS website at

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

benchmark revisions is available online at 

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

Area definitions

The substate area data published in this release reflect the 

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

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

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

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

geographic definitions is available online at 

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

Additional information

Estimates of unadjusted and seasonally adjusted civilian

labor force and unemployment data for states and seven 

substate areas are available in the news release State 

Employment and Unemployment. Estimates of civilian labor 

force and unemployment for all states, metropolitan areas, 

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

areas used in the administration of various federal economic 

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

Employment data from the CES program are available on the 

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

Information in this release will be made available to 

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

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

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,166,431 2,208,369 2,168,171 2,226,304 79,571 84,194 78,653 84,746 3.7 3.8 3.6 3.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,006 46,056 45,383 46,382 1,880 2,095 1,867 2,078 4.2 4.5 4.1 4.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 73,324 74,918 73,808 75,810 2,368 2,633 2,356 2,613 3.2 3.5 3.2 3.4

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 533,105 541,863 533,322 546,447 17,880 18,874 17,797 19,143 3.4 3.5 3.3 3.5

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 91,543 94,469 91,035 94,177 3,067 3,228 3,084 3,308 3.4 3.4 3.4 3.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,226 69,875 68,368 70,687 2,447 2,457 2,398 2,460 3.6 3.5 3.5 3.5

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,201 63,111 62,175 62,681 2,315 2,519 2,281 2,561 3.7 4.0 3.7 4.1

Florence-Muscle Shoals. . . . . . . . . . . . . . . 64,697 65,929 64,782 66,718 2,618 2,739 2,566 2,711 4.0 4.2 4.0 4.1

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,614 43,229 42,691 43,653 1,636 1,698 1,629 1,731 3.8 3.9 3.8 4.0

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,770 223,539 216,501 228,155 7,022 7,535 6,970 7,662 3.3 3.4 3.2 3.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185,281 188,009 185,865 190,214 8,025 8,587 7,823 8,477 4.3 4.6 4.2 4.5

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 171,062 174,231 172,190 175,753 6,098 6,600 6,077 6,677 3.6 3.8 3.5 3.8

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 113,731 115,238 113,676 117,134 3,917 4,081 3,849 4,092 3.4 3.5 3.4 3.5

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363,815 355,369 359,848 354,834 24,193 19,801 24,543 20,510 6.6 5.6 6.8 5.8

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 201,042 196,595 202,015 199,876 12,849 10,347 12,727 10,582 6.4 5.3 6.3 5.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,885 45,820 46,987 46,284 2,747 2,230 2,780 2,324 5.9 4.9 5.9 5.0

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,351,088 3,437,172 3,336,707 3,455,227 162,539 168,265 155,387 156,127 4.9 4.9 4.7 4.5

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,751 78,541 76,582 78,377 3,855 4,030 3,772 3,831 5.0 5.1 4.9 4.9

Lake Havasu City-Kingman. . . . . . . . . . . . 83,096 85,392 82,514 85,598 4,761 4,944 4,488 4,518 5.7 5.8 5.4 5.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,329,510 2,399,581 2,320,449 2,413,258 97,359 101,255 93,274 93,413 4.2 4.2 4.0 3.9

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,317 105,407 102,441 105,971 4,514 4,829 4,276 4,362 4.4 4.6 4.2 4.1

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,340 49,231 49,404 49,268 2,806 2,827 2,673 2,606 5.7 5.7 5.4 5.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480,619 488,838 476,677 488,335 21,117 21,826 20,267 20,174 4.4 4.5 4.3 4.1

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,421 97,655 98,069 101,113 18,271 18,594 17,034 17,852 18.9 19.0 17.4 17.7

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,363,077 1,347,699 1,359,086 1,353,649 48,345 44,798 43,597 44,635 3.5 3.3 3.2 3.3

Fayetteville-Springdale-Rogers. . . . . . . . . 275,700 275,097 276,726 276,768 7,557 6,866 6,796 6,886 2.7 2.5 2.5 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,369 117,357 119,311 117,318 4,936 4,133 4,682 4,103 4.1 3.5 3.9 3.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,391 39,478 39,659 39,712 1,603 1,491 1,430 1,524 4.0 3.8 3.6 3.8

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,763 64,621 64,419 64,925 1,966 1,808 1,769 1,812 3.0 2.8 2.7 2.8

Little Rock-North Little Rock-Conway. . . . 358,361 355,783 356,163 357,312 11,537 10,822 10,370 10,801 3.2 3.0 2.9 3.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,572 34,527 35,481 34,799 1,680 1,617 1,535 1,631 4.7 4.7 4.3 4.7

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,462,033 19,549,346 19,374,412 19,627,398 841,531 767,720 816,310 780,472 4.3 3.9 4.2 4.0

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 389,308 389,456 387,218 390,888 29,056 25,509 28,163 25,730 7.5 6.5 7.3 6.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,353 105,619 104,572 106,657 4,961 4,291 4,832 4,477 4.8 4.1 4.6 4.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,003 74,236 73,265 74,938 14,957 14,332 14,215 14,361 20.2 19.3 19.4 19.2

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452,568 455,237 446,056 454,084 30,572 26,657 31,993 28,802 6.8 5.9 7.2 6.3

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,805 57,513 57,099 57,087 3,920 3,455 3,979 3,653 6.8 6.0 7.0 6.4

Los Angeles-Long Beach-Anaheim. . . . . 6,804,412 6,796,129 6,772,653 6,819,994 290,348 293,590 276,364 289,836 4.3 4.3 4.1 4.2

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,410 62,191 61,071 61,250 3,811 3,351 3,808 3,613 6.1 5.4 6.2 5.9

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,164 120,710 117,584 120,179 8,004 7,091 7,911 7,361 6.7 5.9 6.7 6.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244,722 245,059 241,602 244,027 14,649 12,835 14,569 13,372 6.0 5.2 6.0 5.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,875 75,005 74,992 74,874 2,285 1,905 2,357 1,965 3.0 2.5 3.1 2.6

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,819 426,825 424,930 430,804 18,308 15,673 17,585 15,757 4.3 3.7 4.1 3.7

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,745 75,591 75,115 76,698 3,637 3,224 3,581 3,300 4.9 4.3 4.8 4.3

Riverside-San Bernardino-Ontario. . . . . . 2,034,805 2,056,801 2,035,427 2,073,421 98,697 84,103 94,849 85,991 4.9 4.1 4.7 4.1

Sacramento--Roseville--Arden-Arcade. . . 1,089,470 1,088,677 1,083,818 1,095,645 44,109 37,270 42,857 38,747 4.0 3.4 4.0 3.5

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227,600 228,956 223,229 225,480 10,044 8,858 10,080 9,390 4.4 3.9 4.5 4.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,591,530 1,602,368 1,586,193 1,611,458 59,208 50,485 57,506 52,484 3.7 3.2 3.6 3.3

San Francisco-Oakland-Hayward. . . . . . . 2,591,894 2,612,354 2,580,850 2,621,765 79,111 66,454 76,921 68,716 3.1 2.5 3.0 2.6

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,076,774 1,099,189 1,075,272 1,104,948 32,345 27,023 31,349 27,760 3.0 2.5 2.9 2.5

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,279 142,294 142,747 144,558 4,664 3,892 4,494 4,016 3.3 2.7 3.1 2.8

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 143,406 145,054 144,841 147,316 5,862 5,026 5,845 5,243 4.1 3.5 4.0 3.6

Santa Maria-Santa Barbara. . . . . . . . . . . . 218,556 217,264 219,620 219,935 8,139 7,071 8,157 7,377 3.7 3.3 3.7 3.4

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 267,197 271,006 263,884 271,098 7,724 6,568 7,910 6,804 2.9 2.4 3.0 2.5

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 327,730 332,774 326,507 332,995 19,162 16,633 18,985 17,350 5.8 5.0 5.8 5.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 210,823 211,522 209,692 211,312 8,858 7,428 8,743 7,684 4.2 3.5 4.2 3.6

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 204,865 207,316 201,257 205,035 18,113 16,354 18,379 17,094 8.8 7.9 9.1 8.3

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,151 74,392 73,872 74,582 4,564 4,032 4,547 4,283 6.1 5.4 6.2 5.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,035,955 3,112,289 3,034,052 3,118,902 82,092 95,928 83,759 96,425 2.7 3.1 2.8 3.1

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,292 193,988 188,209 195,698 4,429 5,359 4,600 5,386 2.3 2.8 2.4 2.8

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 344,965 358,684 343,461 362,336 10,879 13,059 10,918 13,017 3.2 3.6 3.2 3.6

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,614,214 1,643,442 1,610,520 1,653,341 42,899 49,668 43,429 49,526 2.7 3.0 2.7 3.0

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 199,979 205,266 199,844 205,656 4,566 5,440 4,787 5,512 2.3 2.7 2.4 2.7

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 75,625 76,518 75,467 76,860 2,627 2,725 2,574 2,750 3.5 3.6 3.4 3.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,498 166,844 162,068 168,082 3,979 4,638 4,080 4,698 2.5 2.8 2.5 2.8

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,355 75,780 75,435 76,113 3,152 3,506 3,135 3,501 4.2 4.6 4.2 4.6

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,903,588 1,904,067 1,900,360 1,914,839 80,486 73,161 78,219 73,471 4.2 3.8 4.1 3.8

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 465,839 465,525 462,369 466,140 19,787 18,005 19,240 18,153 4.2 3.9 4.2 3.9

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,889 107,537 106,500 107,795 3,632 3,400 3,481 3,367 3.4 3.2 3.3 3.1

Hartford-West Hartford-East Hartford. . . . 623,441 624,240 624,664 629,141 26,511 24,133 25,671 24,040 4.3 3.9 4.1 3.8

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 327,334 326,074 326,224 329,022 13,903 12,511 13,480 12,495 4.2 3.8 4.1 3.8

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 143,883 144,995 144,012 144,796 5,914 5,183 5,786 5,153 4.1 3.6 4.0 3.6

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,101 110,385 111,219 111,291 5,694 5,317 5,686 5,426 5.1 4.8 5.1 4.9

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,481 481,487 476,851 484,392 21,221 19,801 20,735 17,177 4.5 4.1 4.3 3.5

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,121 78,495 78,118 79,541 3,732 3,523 3,632 2,985 4.8 4.5 4.6 3.8

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 191,533 188,926 187,094 186,642 8,658 8,386 9,053 8,199 4.5 4.4 4.8 4.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . 399,944 399,003 401,245 402,104 25,089 23,790 23,895 22,405 6.3 6.0 6.0 5.6

Washington-Arlington-Alexandria. . . . . . . 3,396,035 3,389,820 3,389,870 3,407,333 123,220 110,858 120,310 109,384 3.6 3.3 3.5 3.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,202,985 10,263,010 10,128,026 10,261,846 411,122 313,992 390,619 312,597 4.0 3.1 3.9 3.0

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 328,669 338,104 331,914 341,552 13,464 9,929 12,368 9,990 4.1 2.9 3.7 2.9

Crestview-Fort Walton Beach-Destin. . . . 128,497 130,786 126,447 129,377 4,059 3,104 3,856 3,138 3.2 2.4 3.0 2.4

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,788 302,394 299,349 301,341 12,441 9,551 11,961 9,735 4.1 3.2 4.0 3.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 146,689 146,956 145,007 146,702 5,152 3,939 4,903 4,049 3.5 2.7 3.4 2.8

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,524 48,363 47,710 48,591 2,616 2,101 2,492 2,105 5.4 4.3 5.2 4.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 779,374 785,544 770,015 779,798 28,821 22,060 27,231 22,259 3.7 2.8 3.5 2.9

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 297,649 300,884 293,779 302,828 13,394 10,410 12,649 10,284 4.5 3.5 4.3 3.4

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,149,447 3,137,123 3,141,344 3,138,415 134,972 101,948 129,922 100,701 4.3 3.2 4.1 3.2

Naples-Immokalee-Marco Island. . . . . . . . 163,836 168,957 166,744 171,687 7,564 5,567 6,977 5,351 4.6 3.3 4.2 3.1

North Port-Sarasota-Bradenton. . . . . . . . . 362,400 369,295 361,147 369,608 13,558 10,577 12,850 10,550 3.7 2.9 3.6 2.9

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,340 136,323 133,139 136,323 6,297 4,903 5,967 4,900 4.7 3.6 4.5 3.6

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,329,031 1,358,241 1,312,898 1,357,709 47,741 36,918 45,065 36,841 3.6 2.7 3.4 2.7

Palm Bay-Melbourne-Titusville. . . . . . . . . 271,905 274,399 268,145 274,901 10,974 8,162 10,368 8,199 4.0 3.0 3.9 3.0

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 97,418 97,609 95,923 95,351 3,527 2,651 3,351 2,612 3.6 2.7 3.5 2.7

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 229,745 228,382 225,060 228,186 8,476 6,579 8,180 6,596 3.7 2.9 3.6 2.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 211,535 212,969 211,355 214,097 9,848 7,530 9,173 7,427 4.7 3.5 4.3 3.5

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 69,607 70,519 70,010 71,108 3,206 2,484 2,995 2,446 4.6 3.5 4.3 3.4

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,208 63,344 62,588 63,707 3,196 2,466 2,925 2,364 5.1 3.9 4.7 3.7

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,827 35,743 34,975 35,419 2,039 1,518 1,919 1,491 5.7 4.2 5.5 4.2

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 196,281 195,588 193,543 195,901 7,294 5,715 6,920 5,738 3.7 2.9 3.6 2.9

Tampa-St. Petersburg-Clearwater. . . . . . 1,535,406 1,545,316 1,521,475 1,542,313 57,207 44,893 54,561 45,027 3.7 2.9 3.6 2.9

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,692 30,694 30,281 30,768 1,697 1,328 1,628 1,325 5.5 4.3 5.4 4.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,099,501 5,119,499 5,082,865 5,137,434 227,050 165,304 223,205 185,183 4.5 3.2 4.4 3.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,180 67,917 68,680 68,577 3,603 2,711 3,487 2,987 5.3 4.0 5.1 4.4

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,356 104,094 102,162 105,698 4,299 3,117 4,176 3,570 4.2 3.0 4.1 3.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,064,470 3,083,485 3,050,192 3,090,344 129,956 95,232 127,515 105,548 4.2 3.1 4.2 3.4

Augusta-Richmond County. . . . . . . . . . . . . 266,940 267,910 267,719 269,224 12,469 9,655 12,660 10,212 4.7 3.6 4.7 3.8

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,019 53,250 52,761 52,896 3,341 1,669 2,471 1,910 6.3 3.1 4.7 3.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,069 125,715 125,036 126,444 6,334 4,971 6,290 5,428 5.1 4.0 5.0 4.3

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,543 61,602 60,575 61,439 3,314 2,459 3,085 2,726 5.4 4.0 5.1 4.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 101,344 103,668 101,136 104,359 3,731 2,675 3,623 3,052 3.7 2.6 3.6 2.9

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,786 33,643 33,519 33,847 1,657 1,155 1,597 1,318 4.9 3.4 4.8 3.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 106,026 105,042 105,412 105,430 5,265 3,675 5,288 4,350 5.0 3.5 5.0 4.1

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,653 44,302 44,307 44,484 2,144 1,594 2,056 1,785 4.8 3.6 4.6 4.0

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,998 184,380 185,848 184,571 7,731 5,715 7,651 6,425 4.2 3.1 4.1 3.5

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,693 65,370 64,834 66,206 2,937 2,195 2,835 2,501 4.5 3.4 4.4 3.8

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 85,529 85,044 85,331 85,637 3,930 2,881 4,411 3,792 4.6 3.4 5.2 4.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679,436 681,272 678,823 679,733 15,297 17,069 13,948 17,189 2.3 2.5 2.1 2.5

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,406 86,290 85,372 85,286 2,012 2,143 1,850 2,250 2.4 2.5 2.2 2.6

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 467,674 467,985 467,092 469,163 10,189 11,109 9,175 10,828 2.2 2.4 2.0 2.3

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 839,287 852,381 843,654 855,429 22,497 18,111 21,928 19,126 2.7 2.1 2.6 2.2

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 347,148 355,160 347,833 353,907 9,419 7,559 9,172 7,898 2.7 2.1 2.6 2.2

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 75,666 77,447 75,301 76,947 2,407 1,925 2,377 2,016 3.2 2.5 3.2 2.6

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 67,682 68,569 68,641 69,254 1,637 1,274 1,562 1,314 2.4 1.9 2.3 1.9

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,478 31,828 31,640 32,070 916 819 891 843 2.9 2.6 2.8 2.6

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,233 41,873 42,021 42,621 1,072 863 1,055 921 2.6 2.1 2.5 2.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,496,827 6,462,858 6,483,672 6,527,645 299,985 245,989 294,392 273,133 4.6 3.8 4.5 4.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 96,433 98,258 96,821 98,956 3,459 3,520 3,475 4,009 3.6 3.6 3.6 4.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 59,754 60,423 59,894 60,891 2,600 2,555 2,483 2,809 4.4 4.2 4.1 4.6

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 121,185 123,906 121,415 125,403 4,443 4,661 4,608 5,356 3.7 3.8 3.8 4.3

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,921,065 4,844,568 4,909,919 4,902,724 230,308 177,481 227,138 196,679 4.7 3.7 4.6 4.0

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,004 34,419 33,906 34,628 1,968 1,746 1,894 1,901 5.8 5.1 5.6 5.5

Davenport-Moline-Rock Island1. . . . . . . . . 189,440 193,317 188,742 195,423 7,783 7,189 7,222 7,566 4.1 3.7 3.8 3.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,297 50,325 49,097 50,790 2,478 2,383 2,354 2,690 5.0 4.7 4.8 5.3

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,880 59,365 56,096 59,866 2,532 2,490 2,458 2,781 4.5 4.2 4.4 4.6

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175,926 179,197 175,671 179,556 8,326 7,826 7,917 8,686 4.7 4.4 4.5 4.8

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163,699 167,557 163,665 168,964 8,157 7,664 7,686 8,773 5.0 4.6 4.7 5.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,556 110,644 108,328 110,423 4,278 4,121 4,101 4,568 3.9 3.7 3.8 4.1

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,326,645 3,386,095 3,315,355 3,404,398 109,414 101,932 103,227 120,871 3.3 3.0 3.1 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 77,343 76,719 77,623 77,925 2,564 2,452 2,493 3,197 3.3 3.2 3.2 4.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,445 46,026 44,357 46,271 1,107 989 1,061 1,193 2.5 2.1 2.4 2.6

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 112,532 117,577 112,319 118,476 2,533 2,759 2,454 3,396 2.3 2.3 2.2 2.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,602 164,512 162,144 164,942 4,991 4,765 4,666 5,545 3.1 2.9 2.9 3.4

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 212,799 218,084 211,635 220,369 6,609 5,810 6,005 7,131 3.1 2.7 2.8 3.2

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,044,339 1,067,464 1,037,153 1,071,897 32,878 30,593 30,939 35,947 3.1 2.9 3.0 3.4

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,135 39,734 38,021 39,867 1,279 1,193 1,212 1,456 3.4 3.0 3.2 3.7

Lafayette-West Lafayette. . . . . . . . . . . . . . 110,200 114,463 110,550 116,079 3,202 2,915 3,087 3,818 2.9 2.5 2.8 3.3

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,378 47,296 47,162 47,412 1,852 1,779 1,765 2,043 3.9 3.8 3.7 4.3

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,333 55,784 55,356 56,317 2,161 1,844 2,062 2,299 3.9 3.3 3.7 4.1

South Bend-Mishawaka. . . . . . . . . . . . . . . 159,280 161,156 158,776 162,309 5,471 5,193 5,278 6,045 3.4 3.2 3.3 3.7

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,509 77,418 76,027 78,482 3,002 3,088 2,857 3,587 3.9 4.0 3.8 4.6

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677,793 1,683,405 1,675,691 1,697,159 46,234 35,881 39,065 31,932 2.8 2.1 2.3 1.9

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,039 59,790 59,237 60,709 1,107 850 812 640 1.9 1.4 1.4 1.1

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 142,013 142,714 141,556 143,704 4,378 3,412 3,681 3,022 3.1 2.4 2.6 2.1

Des Moines-West Des Moines. . . . . . . . . 345,131 352,732 345,000 358,633 9,150 7,322 7,748 6,739 2.7 2.1 2.2 1.9

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,274 53,961 54,232 54,898 1,369 1,049 1,104 906 2.5 1.9 2.0 1.7

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,959 98,067 97,534 99,340 2,312 1,729 1,875 1,436 2.4 1.8 1.9 1.4

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,256 90,439 90,198 91,583 2,495 1,935 2,283 1,820 2.8 2.1 2.5 2.0

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 88,490 87,775 88,141 88,524 2,700 1,981 2,294 1,719 3.1 2.3 2.6 1.9

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,476,680 1,483,138 1,477,351 1,495,759 48,648 43,531 45,079 44,785 3.3 2.9 3.1 3.0

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,838 66,082 66,051 66,687 1,876 1,726 1,678 1,759 2.8 2.6 2.5 2.6

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,967 48,758 48,448 49,249 1,290 1,149 1,133 1,215 2.7 2.4 2.3 2.5

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,661 118,083 118,190 119,520 3,863 3,581 3,543 3,836 3.3 3.0 3.0 3.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,857 306,231 304,863 308,606 11,825 10,201 10,644 10,330 3.9 3.3 3.5 3.3

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,056,757 2,069,558 2,038,572 2,063,185 88,035 88,257 81,100 86,744 4.3 4.3 4.0 4.2

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,070 84,190 82,288 84,043 3,499 2,933 3,059 3,204 4.2 3.5 3.7 3.8

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 66,495 67,201 65,685 66,821 2,780 2,911 2,576 2,804 4.2 4.3 3.9 4.2

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 270,372 273,045 270,304 274,520 9,017 8,949 8,351 9,341 3.3 3.3 3.1 3.4

Louisville/Jefferson County. . . . . . . . . . . . . 664,758 671,648 657,796 662,709 24,483 27,988 22,798 25,688 3.7 4.2 3.5 3.9

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,840 56,366 55,218 55,852 2,191 2,134 2,125 2,177 3.9 3.8 3.8 3.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,120,750 2,099,174 2,117,409 2,107,987 105,383 104,744 91,126 98,627 5.0 5.0 4.3 4.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,939 63,525 64,807 63,835 3,543 3,458 3,023 3,278 5.5 5.4 4.7 5.1

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 422,442 421,622 420,937 420,516 18,288 18,875 15,811 17,813 4.3 4.5 3.8 4.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,663 55,535 55,550 55,691 3,032 3,023 2,507 2,781 5.4 5.4 4.5 5.0

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 89,128 87,272 88,730 87,154 4,594 4,396 3,940 4,145 5.2 5.0 4.4 4.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,673 209,808 212,958 210,564 11,147 10,551 9,772 9,945 5.2 5.0 4.6 4.7

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 114,995 115,468 115,182 116,369 4,537 4,405 3,854 4,108 3.9 3.8 3.3 3.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,103 79,261 80,660 80,337 4,114 4,270 3,597 4,126 5.1 5.4 4.5 5.1

New Orleans-Metairie. . . . . . . . . . . . . . . . . 598,673 594,103 599,302 599,133 28,479 28,521 24,604 26,536 4.8 4.8 4.1 4.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 189,049 185,536 188,002 185,805 9,974 9,836 8,856 9,429 5.3 5.3 4.7 5.1

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 702,255 702,804 702,650 704,726 19,418 21,006 19,379 22,292 2.8 3.0 2.8 3.2

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,099 70,441 71,503 71,498 2,043 2,191 2,064 2,375 2.9 3.1 2.9 3.3

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,820 55,955 56,433 56,796 1,526 1,707 1,507 1,803 2.7 3.1 2.7 3.2

Portland-South Portland. . . . . . . . . . . . . . . 210,004 211,876 209,220 212,003 4,828 5,354 4,809 5,698 2.3 2.5 2.3 2.7

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,229,574 3,207,608 3,224,637 3,229,798 124,509 123,648 127,143 121,618 3.9 3.9 3.9 3.8

Baltimore-Columbia-Towson. . . . . . . . . . . 1,506,404 1,497,946 1,504,768 1,510,872 60,103 58,846 60,877 57,837 4.0 3.9 4.0 3.8

California-Lexington Park. . . . . . . . . . . . . . 55,245 54,813 55,318 55,195 2,014 2,024 2,102 1,952 3.6 3.7 3.8 3.5

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,685 44,171 44,858 44,602 2,154 2,205 2,210 2,162 4.8 5.0 4.9 4.8

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,515 131,839 131,298 134,025 5,110 5,234 5,126 5,163 3.9 4.0 3.9 3.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,639,953 3,814,745 3,637,788 3,820,853 126,627 120,367 111,544 109,703 3.5 3.2 3.1 2.9

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 126,734 132,338 123,051 127,750 4,378 4,129 4,004 3,888 3.5 3.1 3.3 3.0

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,681,308 2,810,408 2,686,390 2,821,460 86,831 82,190 76,931 74,744 3.2 2.9 2.9 2.6

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 77,765 80,967 77,558 81,200 3,042 2,881 2,691 2,638 3.9 3.6 3.5 3.2

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 83,826 87,454 83,470 87,614 4,314 4,005 3,799 3,639 5.1 4.6 4.6 4.2

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,018 44,204 42,743 44,120 1,719 1,583 1,511 1,474 4.0 3.6 3.5 3.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 366,735 379,727 367,870 382,224 15,265 14,689 13,553 13,496 4.2 3.9 3.7 3.5

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 350,037 366,911 350,497 367,574 12,883 12,420 11,508 11,544 3.7 3.4 3.3 3.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,914,046 4,884,529 4,884,824 4,907,170 221,097 169,211 204,681 185,438 4.5 3.5 4.2 3.8

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 195,564 195,148 194,956 197,039 7,666 5,531 6,635 5,768 3.9 2.8 3.4 2.9

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,017 62,457 62,917 62,973 3,056 2,237 2,859 2,283 4.8 3.6 4.5 3.6

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,832 50,032 50,477 50,295 2,474 1,834 2,297 1,876 4.9 3.7 4.6 3.7

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,140,148 2,126,331 2,121,865 2,137,075 98,430 79,170 91,876 93,014 4.6 3.7 4.3 4.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,317 179,621 181,678 180,957 9,893 7,271 9,111 7,494 5.4 4.0 5.0 4.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 570,129 575,643 569,502 577,624 20,030 15,042 18,509 15,254 3.5 2.6 3.3 2.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,088 72,814 74,076 73,587 3,291 2,448 3,035 2,505 4.4 3.4 4.1 3.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,774 166,345 167,954 167,697 7,181 5,268 6,630 5,325 4.3 3.2 3.9 3.2

Lansing-East Lansing. . . . . . . . . . . . . . . . . 249,042 248,668 249,664 251,686 10,344 7,288 9,415 7,481 4.2 2.9 3.8 3.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,219 39,907 39,831 39,908 1,739 1,292 1,621 1,317 4.3 3.2 4.1 3.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,123 76,028 76,820 76,795 4,218 2,707 3,748 3,066 5.5 3.6 4.9 4.0

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,948 76,723 77,419 76,577 4,045 2,970 3,799 3,050 5.2 3.9 4.9 4.0

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 73,657 72,792 72,881 72,802 3,326 2,596 3,061 2,623 4.5 3.6 4.2 3.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,431 86,721 86,953 87,331 4,445 3,399 4,110 3,429 5.1 3.9 4.7 3.9

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,071,191 3,073,214 3,059,916 3,084,915 87,539 68,528 73,290 66,585 2.9 2.2 2.4 2.2

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,968 143,439 143,478 144,125 5,152 3,921 4,409 3,916 3.6 2.7 3.1 2.7

Mankato-North Mankato. . . . . . . . . . . . . . . 61,133 62,374 62,673 63,942 1,430 1,214 1,169 1,111 2.3 1.9 1.9 1.7

Minneapolis-St. Paul-Bloomington. . . . . . 2,009,183 2,005,919 1,989,206 2,007,145 56,297 44,267 47,244 42,572 2.8 2.2 2.4 2.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,291 120,459 121,444 121,328 2,882 2,313 2,475 2,247 2.4 1.9 2.0 1.9

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,472 111,990 112,240 113,096 3,028 2,453 2,565 2,372 2.7 2.2 2.3 2.1

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,276,196 1,279,584 1,272,072 1,273,283 59,527 58,078 56,161 53,982 4.7 4.5 4.4 4.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 163,118 162,996 163,048 161,876 7,964 7,804 7,584 7,181 4.9 4.8 4.7 4.4

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,185 68,964 68,694 69,038 2,788 2,733 2,593 2,559 4.1 4.0 3.8 3.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270,314 271,424 271,996 271,645 11,106 10,865 10,561 10,160 4.1 4.0 3.9 3.7

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,052,192 3,056,664 3,031,234 3,070,323 99,677 80,603 82,841 71,387 3.3 2.6 2.7 2.3

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,801 48,356 47,640 48,602 1,569 1,219 1,177 1,070 3.3 2.5 2.5 2.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,483 98,626 97,929 99,177 2,314 1,896 1,617 1,564 2.3 1.9 1.7 1.6

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 74,231 73,975 73,827 74,533 2,079 1,607 1,505 1,370 2.8 2.2 2.0 1.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,342 84,385 83,774 85,108 2,592 2,026 1,939 1,768 3.1 2.4 2.3 2.1

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,129,613 1,141,755 1,128,230 1,147,245 37,014 32,122 38,062 30,922 3.3 2.8 3.4 2.7

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,767 65,310 64,759 66,154 1,931 1,525 1,594 1,387 3.0 2.3 2.5 2.1

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,459,184 1,468,941 1,447,509 1,474,856 49,769 42,674 41,432 41,059 3.4 2.9 2.9 2.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,575 231,168 227,113 231,350 6,650 5,372 4,778 4,519 2.9 2.3 2.1 2.0

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 525,710 523,111 524,892 524,858 18,235 16,520 19,394 17,279 3.5 3.2 3.7 3.3

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,345 86,396 87,035 86,446 2,830 2,604 2,844 2,629 3.2 3.0 3.3 3.0

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,944 37,443 37,958 37,531 1,321 1,250 1,336 1,225 3.5 3.3 3.5 3.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,777 62,283 62,847 62,962 1,935 1,731 2,026 1,838 3.1 2.8 3.2 2.9

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000,098 1,012,180 1,005,465 1,024,158 27,212 25,895 25,672 27,008 2.7 2.6 2.6 2.6

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,388 43,808 43,093 43,653 1,142 1,140 1,126 1,169 2.6 2.6 2.6 2.7

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,875 180,820 178,441 182,852 4,523 4,367 4,238 4,524 2.5 2.4 2.4 2.5

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 476,787 485,664 480,238 492,438 13,455 12,665 12,626 12,840 2.8 2.6 2.6 2.6

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473,917 1,519,245 1,474,068 1,526,445 72,059 67,150 68,899 63,591 4.9 4.4 4.7 4.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,785 26,348 25,850 26,505 1,169 1,098 1,160 1,056 4.5 4.2 4.5 4.0

Las Vegas-Henderson-Paradise. . . . . . . . 1,079,780 1,113,821 1,081,602 1,117,989 55,862 52,255 53,223 49,173 5.2 4.7 4.9 4.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245,136 252,990 245,215 256,430 9,457 8,653 9,118 8,382 3.9 3.4 3.7 3.3

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 743,350 758,780 744,206 758,608 18,490 17,479 17,199 15,562 2.5 2.3 2.3 2.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 83,905 86,115 85,184 86,718 1,902 1,814 1,763 1,654 2.3 2.1 2.1 1.9

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 115,748 118,078 115,887 118,572 2,890 2,689 2,690 2,391 2.5 2.3 2.3 2.0

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 76,297 78,139 76,256 78,306 1,756 1,678 1,639 1,578 2.3 2.1 2.1 2.0

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,505,265 4,457,867 4,498,988 4,486,971 210,108 182,302 198,549 160,343 4.7 4.1 4.4 3.6

Atlantic City-Hammonton. . . . . . . . . . . . . . 121,591 124,151 120,465 122,584 8,035 6,399 7,827 5,799 6.6 5.2 6.5 4.7

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,997 49,548 44,823 46,347 2,974 2,472 3,370 2,595 5.9 5.0 7.5 5.6

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198,396 199,411 198,765 200,932 8,304 7,247 7,821 6,363 4.2 3.6 3.9 3.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,292 65,326 66,751 65,280 4,414 3,891 4,221 3,322 6.7 6.0 6.3 5.1

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 930,215 943,589 933,360 951,378 55,508 43,462 53,585 42,945 6.0 4.6 5.7 4.5

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 426,549 435,521 428,236 440,798 24,342 19,342 23,482 19,044 5.7 4.4 5.5 4.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,192 53,524 53,413 54,035 3,496 2,651 3,327 2,600 6.6 5.0 6.2 4.8

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 93,241 93,307 93,446 93,867 6,023 4,858 5,744 4,790 6.5 5.2 6.1 5.1

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,038 74,150 73,660 74,720 3,764 2,899 3,659 2,899 5.2 3.9 5.0 3.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,743,446 9,740,425 9,683,391 9,787,056 446,739 365,727 429,759 352,282 4.6 3.8 4.4 3.6

Albany-Schenectady-Troy. . . . . . . . . . . . . . 453,697 453,365 451,231 459,919 19,300 15,355 18,345 14,459 4.3 3.4 4.1 3.1

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 108,884 108,031 108,106 108,886 5,576 4,356 5,297 4,108 5.1 4.0 4.9 3.8

Buffalo-Cheektowaga-Niagara Falls. . . . . 553,287 555,682 549,474 558,160 27,806 21,122 26,743 20,075 5.0 3.8 4.9 3.6

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,760 35,371 35,514 35,075 1,934 1,476 1,846 1,381 5.4 4.2 5.2 3.9

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 60,660 61,132 60,029 60,922 2,671 2,053 2,541 1,988 4.4 3.4 4.2 3.3

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,224 52,473 51,183 52,783 2,302 1,708 2,121 1,609 4.5 3.3 4.1 3.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,247 90,313 89,102 91,374 3,934 3,083 3,820 2,897 4.4 3.4 4.3 3.2

New York-Newark-Jersey City. . . . . . . . . . 10,126,576 10,069,305 10,086,557 10,130,101 455,826 388,363 435,435 364,421 4.5 3.9 4.3 3.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 525,232 529,079 523,399 530,953 25,327 19,500 24,381 18,406 4.8 3.7 4.7 3.5

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 309,071 309,547 307,139 311,897 15,345 11,406 14,528 10,802 5.0 3.7 4.7 3.5

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,710 129,611 128,512 130,228 6,386 4,975 6,154 4,739 4.9 3.8 4.8 3.6

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,544 45,291 44,692 44,975 2,514 1,898 2,488 1,842 5.5 4.2 5.6 4.1

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,989,623 4,957,232 4,972,021 5,013,870 211,307 152,193 211,534 170,887 4.2 3.1 4.3 3.4

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232,164 229,524 231,603 231,512 7,977 5,620 7,864 6,402 3.4 2.4 3.4 2.8

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,485 79,395 79,973 80,614 3,226 2,279 3,210 2,565 4.0 2.9 4.0 3.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,329,873 1,333,951 1,333,393 1,351,190 54,002 38,836 54,199 42,787 4.1 2.9 4.1 3.2

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 298,524 298,279 297,061 300,555 11,309 7,972 11,206 9,014 3.8 2.7 3.8 3.0

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,031 145,174 147,278 148,132 8,062 6,024 8,043 6,710 5.4 4.1 5.5 4.5

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,549 51,907 53,260 52,627 2,518 1,804 2,516 2,004 4.7 3.5 4.7 3.8

Greensboro-High Point. . . . . . . . . . . . . . . . 371,335 367,972 369,649 373,486 16,676 11,641 16,605 13,091 4.5 3.2 4.5 3.5

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,489 89,246 89,484 89,360 4,113 2,934 4,057 3,290 4.5 3.3 4.5 3.7

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,671 174,034 173,730 176,224 6,868 4,786 7,071 5,471 3.9 2.8 4.1 3.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,655 63,513 63,973 65,249 3,145 2,569 3,182 2,853 4.9 4.0 5.0 4.4

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,835 50,551 51,382 51,398 2,342 1,793 2,293 2,085 4.5 3.5 4.5 4.1

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 705,010 711,287 702,996 719,031 26,506 18,799 26,356 21,202 3.8 2.6 3.7 2.9

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,595 62,497 65,584 64,115 4,068 2,855 4,100 3,100 6.2 4.6 6.3 4.8

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,947 141,885 145,971 145,094 5,778 4,861 5,957 5,301 3.9 3.4 4.1 3.7

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 327,583 325,145 326,159 330,187 13,257 9,463 13,266 10,724 4.0 2.9 4.1 3.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 414,703 401,220 413,442 401,062 8,221 9,029 7,532 7,920 2.0 2.3 1.8 2.0

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,454 67,015 68,590 67,298 1,418 1,578 1,277 1,405 2.1 2.4 1.9 2.1

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,947 135,265 137,919 135,646 2,646 2,781 2,274 2,480 1.9 2.1 1.6 1.8

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 55,984 54,795 55,896 55,303 1,212 1,206 990 1,024 2.2 2.2 1.8 1.9

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,800,421 5,728,075 5,780,912 5,784,462 270,887 233,676 252,102 247,409 4.7 4.1 4.4 4.3

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362,526 359,617 364,432 364,471 16,912 14,528 16,158 15,635 4.7 4.0 4.4 4.3

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 200,401 197,104 201,332 199,771 9,556 8,507 9,309 9,186 4.8 4.3 4.6 4.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113,959 1,107,975 1,109,555 1,119,286 45,036 40,851 43,537 43,396 4.0 3.7 3.9 3.9

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,037,329 1,039,724 1,022,335 1,039,643 53,335 46,123 48,185 46,414 5.1 4.4 4.7 4.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,080,394 1,066,695 1,078,637 1,084,773 41,845 38,030 39,737 40,666 3.9 3.6 3.7 3.7

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389,125 386,783 391,910 391,210 17,165 15,390 16,517 16,465 4.4 4.0 4.2 4.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,649 47,174 48,855 47,882 2,246 1,872 2,108 2,021 4.6 4.0 4.3 4.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,109 52,464 53,071 52,986 2,670 2,179 2,567 2,390 5.0 4.2 4.8 4.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,659 63,079 63,636 63,813 2,825 2,579 2,699 2,784 4.4 4.1 4.2 4.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305,985 299,096 305,125 302,769 16,414 13,450 14,656 14,219 5.4 4.5 4.8 4.7

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,052 50,033 50,899 50,451 3,010 2,640 2,975 2,767 5.9 5.3 5.8 5.5

Youngstown-Warren-Boardman. . . . . . . . 247,403 237,010 244,426 239,752 17,789 12,328 13,569 13,242 7.2 5.2 5.6 5.5

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,846,157 1,854,750 1,848,467 1,861,101 75,274 55,582 73,847 55,951 4.1 3.0 4.0 3.0

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,714 27,550 27,719 27,645 1,062 753 1,023 748 3.8 2.7 3.7 2.7

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,837 51,436 51,931 51,894 2,306 1,826 2,265 1,883 4.4 3.6 4.4 3.6

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 677,643 684,431 677,142 686,335 25,003 19,192 24,204 19,195 3.7 2.8 3.6 2.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479,487 486,604 482,606 488,186 20,489 14,682 20,482 14,972 4.3 3.0 4.2 3.1

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,134,310 2,122,489 2,130,000 2,128,399 85,082 78,804 84,155 85,675 4.0 3.7 4.0 4.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,123 58,547 58,834 59,213 2,714 2,506 2,690 2,695 4.7 4.3 4.6 4.6

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 95,503 96,848 94,665 96,165 3,663 3,408 3,792 3,753 3.8 3.5 4.0 3.9

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,937 47,183 48,972 48,732 1,618 1,475 1,489 1,608 3.4 3.1 3.0 3.3

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,160 183,092 185,148 184,837 8,020 7,544 7,872 8,107 4.4 4.1 4.3 4.4

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 36,332 36,127 36,008 36,104 1,813 1,717 1,804 1,889 5.0 4.8 5.0 5.2

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,149 106,166 106,492 106,300 4,660 4,442 4,537 4,751 4.4 4.2 4.3 4.5

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,323,059 1,318,353 1,325,764 1,330,824 50,979 46,531 50,291 50,420 3.9 3.5 3.8 3.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205,685 203,370 203,944 203,555 8,517 7,875 8,247 8,544 4.1 3.9 4.0 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,421,837 6,423,332 6,383,896 6,455,032 283,990 250,856 274,047 252,191 4.4 3.9 4.3 3.9

Allentown-Bethlehem-Easton. . . . . . . . . . . 435,476 435,165 433,564 441,725 19,551 18,297 18,879 18,119 4.5 4.2 4.4 4.1

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,194 59,651 58,737 59,513 2,522 2,214 2,383 2,252 4.2 3.7 4.1 3.8

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,959 42,579 42,656 42,609 1,819 1,644 1,749 1,612 4.2 3.9 4.1 3.8

Chambersburg-Waynesboro. . . . . . . . . . . 76,196 76,923 75,439 76,680 2,946 2,610 2,828 2,597 3.9 3.4 3.7 3.4

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,615 81,289 80,667 81,588 4,394 4,033 4,293 4,013 5.4 5.0 5.3 4.9

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,995 129,001 129,819 129,163 6,435 5,125 6,281 5,288 4.9 4.0 4.8 4.1

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,542 56,490 55,184 56,249 1,780 1,709 1,682 1,715 3.2 3.0 3.0 3.0

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 296,175 297,246 293,402 296,840 11,456 10,113 10,904 10,078 3.9 3.4 3.7 3.4

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 59,236 58,650 59,211 59,572 3,074 2,595 2,919 2,630 5.2 4.4 4.9 4.4

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 279,976 282,313 276,882 282,386 9,723 8,741 9,339 8,779 3.5 3.1 3.4 3.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,558 70,662 69,587 70,211 2,631 2,450 2,520 2,463 3.7 3.5 3.6 3.5

Philadelphia-Camden-Wilmington. . . . . . . 3,088,445 3,097,567 3,087,668 3,120,672 142,234 126,284 136,774 121,489 4.6 4.1 4.4 3.9

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,206,030 1,200,822 1,199,481 1,210,143 52,987 45,168 51,107 45,590 4.4 3.8 4.3 3.8

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,882 213,331 210,186 213,310 8,944 8,268 8,604 8,255 4.2 3.9 4.1 3.9

Scranton--Wilkes-Barre--Hazleton. . . . . . . 279,103 279,736 278,172 281,162 13,782 12,674 13,426 12,783 4.9 4.5 4.8 4.5

State College. . . . . . . . . . . . . . . . . . . . . . . . 79,305 78,661 79,565 80,521 2,602 2,411 2,475 2,406 3.3 3.1 3.1 3.0

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,533 56,172 56,757 56,091 2,818 2,427 2,676 2,349 4.9 4.3 4.7 4.2

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 233,995 234,979 232,241 235,963 9,406 8,342 8,974 8,259 4.0 3.6 3.9 3.5

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 555,698 559,261 556,526 558,063 22,433 19,529 22,789 17,191 4.0 3.5 4.1 3.1

Providence-Warwick. . . . . . . . . . . . . . . . . . 683,653 693,260 684,600 692,775 27,427 24,459 27,078 21,714 4.0 3.5 4.0 3.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,317,579 2,297,655 2,316,025 2,316,491 98,002 76,269 96,947 76,757 4.2 3.3 4.2 3.3

Charleston-North Charleston. . . . . . . . . . . 378,085 373,762 378,094 380,758 13,765 10,552 13,350 10,601 3.6 2.8 3.5 2.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 401,664 397,648 401,752 399,043 17,140 12,617 17,029 12,660 4.3 3.2 4.2 3.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,385 94,287 94,762 94,785 4,519 3,606 4,549 3,568 4.7 3.8 4.8 3.8

Greenville-Anderson-Mauldin. . . . . . . . . . . 425,634 421,195 425,887 425,513 16,007 12,611 15,686 12,801 3.8 3.0 3.7 3.0

Hilton Head Island-Bluffton-Beaufort. . . . 85,706 86,312 85,466 86,500 3,451 2,579 3,384 2,664 4.0 3.0 4.0 3.1

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,327 195,398 192,955 195,065 9,275 7,681 9,423 8,128 4.7 3.9 4.9 4.2

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 159,669 157,257 158,912 158,454 6,345 4,805 6,248 4,854 4.0 3.1 3.9 3.1

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,084 43,606 44,029 43,853 2,300 1,698 2,258 1,689 5.2 3.9 5.1 3.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 454,086 456,501 457,090 459,632 13,828 11,773 13,567 11,995 3.0 2.6 3.0 2.6

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 74,078 75,095 74,239 75,163 2,331 2,041 2,319 2,107 3.1 2.7 3.1 2.8

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 148,662 149,964 151,018 152,686 3,816 3,248 3,794 3,327 2.6 2.2 2.5 2.2

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,222,941 3,234,140 3,213,444 3,251,426 105,030 119,695 101,958 120,258 3.3 3.7 3.2 3.7

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 268,908 273,388 268,966 273,923 9,430 9,408 9,344 10,081 3.5 3.4 3.5 3.7

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,398 113,057 111,433 114,003 4,645 5,046 4,296 4,944 4.1 4.5 3.9 4.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,806 58,049 57,924 58,425 1,901 2,219 1,840 2,232 3.3 3.8 3.2 3.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,025 64,634 63,774 64,861 2,228 2,582 2,277 2,588 3.5 4.0 3.6 4.0

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

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 90,869 90,201 90,698 91,305 3,297 3,682 3,165 3,641 3.6 4.1 3.5 4.0

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 138,292 138,391 137,525 138,724 5,108 5,044 4,880 5,040 3.7 3.6 3.5 3.6

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422,077 418,865 419,636 419,996 12,972 14,565 12,432 14,712 3.1 3.5 3.0 3.5

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 630,288 637,304 631,213 642,577 24,268 27,404 23,946 27,284 3.9 4.3 3.8 4.2

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,421 51,799 51,525 52,256 1,831 2,023 1,730 2,001 3.6 3.9 3.4 3.8

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,023,563 1,029,157 1,021,435 1,036,101 26,294 30,677 25,039 30,506 2.6 3.0 2.5 2.9

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,619,456 13,802,138 13,536,215 13,869,529 548,848 517,036 501,634 478,909 4.0 3.7 3.7 3.5

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,972 76,468 75,542 76,782 2,616 2,527 2,444 2,377 3.4 3.3 3.2 3.1

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,910 132,485 130,923 133,467 3,605 3,600 3,352 3,360 2.8 2.7 2.6 2.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,161,052 1,193,565 1,155,097 1,198,220 33,831 34,628 31,553 32,367 2.9 2.9 2.7 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 175,159 170,423 173,882 172,072 14,349 10,075 11,508 8,934 8.2 5.9 6.6 5.2

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 165,654 165,636 163,623 164,994 10,564 9,455 9,410 8,555 6.4 5.7 5.8 5.2

College Station-Bryan. . . . . . . . . . . . . . . . . 131,926 133,973 132,986 135,709 3,860 3,877 3,563 3,623 2.9 2.9 2.7 2.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 207,672 205,634 205,665 207,372 12,552 9,883 11,334 8,848 6.0 4.8 5.5 4.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,835,897 3,900,738 3,813,603 3,928,333 129,572 133,091 121,199 124,862 3.4 3.4 3.2 3.2

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,207 360,428 354,192 362,010 15,288 15,189 14,368 14,108 4.3 4.2 4.1 3.9

Houston-The Woodlands-Sugar Land. . . 3,338,453 3,405,254 3,317,087 3,420,931 161,658 140,823 144,787 128,813 4.8 4.1 4.4 3.8

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,863 177,272 174,686 178,206 6,906 7,141 6,466 6,780 3.9 4.0 3.7 3.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115,156 114,382 113,960 114,961 4,165 4,163 3,882 3,983 3.6 3.6 3.4 3.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,469 97,004 96,896 97,616 4,418 3,912 4,138 3,721 4.5 4.0 4.3 3.8

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,882 164,355 161,446 165,169 4,700 4,909 4,315 4,530 2.9 3.0 2.7 2.7

McAllen-Edinburg-Mission. . . . . . . . . . . . . 339,158 341,127 337,542 340,899 23,041 21,141 19,978 18,618 6.8 6.2 5.9 5.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94,345 100,435 93,231 100,864 2,455 2,179 2,210 2,073 2.6 2.2 2.4 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,082 80,451 79,357 80,893 2,730 2,192 2,505 2,044 3.4 2.7 3.2 2.5

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,004 55,250 54,664 55,465 1,795 1,775 1,666 1,673 3.3 3.2 3.0 3.0

San Antonio-New Braunfels. . . . . . . . . . . . 1,179,014 1,176,710 1,168,449 1,180,724 38,083 38,791 35,453 36,396 3.2 3.3 3.0 3.1

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,261 63,360 61,739 63,831 2,007 2,000 1,855 1,896 3.2 3.2 3.0 3.0

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,821 64,936 64,417 65,402 2,758 3,360 2,543 3,140 4.3 5.2 3.9 4.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,876 108,806 106,561 110,264 4,047 3,792 4,441 3,724 3.8 3.5 4.2 3.4

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,946 44,717 45,801 44,945 2,185 1,717 1,960 1,587 4.8 3.8 4.3 3.5

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,408 125,445 123,820 125,264 4,645 4,319 4,264 4,046 3.7 3.4 3.4 3.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,725 64,825 64,512 65,248 2,161 2,156 1,989 2,010 3.3 3.3 3.1 3.1

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,571,088 1,576,960 1,574,321 1,571,635 46,718 47,651 46,298 43,192 3.0 3.0 2.9 2.7

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,115 70,557 71,098 71,155 1,704 1,784 1,691 1,640 2.4 2.5 2.4 2.3

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 327,540 325,229 328,540 324,419 10,038 10,122 10,446 9,167 3.1 3.1 3.2 2.8

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 301,742 306,475 303,102 305,400 8,255 8,631 7,961 7,706 2.7 2.8 2.6 2.5

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,671 73,450 72,118 73,489 2,256 2,404 2,218 2,186 3.1 3.3 3.1 3.0

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 655,847 656,989 656,489 655,246 19,079 19,603 18,605 17,776 2.9 3.0 2.8 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343,810 342,964 344,217 342,283 9,919 9,567 7,783 6,224 2.9 2.8 2.3 1.8

Burlington-South Burlington. . . . . . . . . . . . 125,457 124,483 125,485 125,685 3,118 3,040 2,445 1,979 2.5 2.4 1.9 1.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,327,531 4,323,618 4,302,973 4,345,779 155,426 118,444 146,155 119,863 3.6 2.7 3.4 2.8

Blacksburg-Christiansburg-Radford. . . . . 91,676 91,060 90,351 92,134 3,584 2,591 3,268 2,587 3.9 2.8 3.6 2.8

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 120,990 123,805 119,298 123,226 3,785 2,954 3,532 3,020 3.1 2.4 3.0 2.5

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 66,253 66,111 65,920 66,660 2,364 1,780 2,159 1,802 3.6 2.7 3.3 2.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,157 123,306 122,029 123,765 5,108 3,794 4,750 3,788 4.1 3.1 3.9 3.1

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 680,528 677,868 676,856 683,502 25,824 19,803 24,323 19,976 3.8 2.9 3.6 2.9

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,647 158,175 156,567 159,130 5,842 4,200 5,419 4,260 3.7 2.7 3.5 2.7

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,185 59,518 58,887 60,132 2,038 1,503 1,994 1,571 3.4 2.5 3.4 2.6

Virginia Beach-Norfolk-Newport News. . . 853,478 848,763 845,376 852,412 33,988 25,857 32,041 26,114 4.0 3.0 3.8 3.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,444 72,494 71,447 73,338 2,276 1,858 2,125 1,908 3.2 2.6 3.0 2.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,761,882 3,792,019 3,757,972 3,823,627 168,840 147,755 163,671 152,043 4.5 3.9 4.4 4.0

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,443 110,179 110,998 113,986 5,163 4,350 4,876 4,746 4.7 3.9 4.4 4.2

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 120,467 120,517 122,331 123,363 5,719 4,898 5,516 5,263 4.7 4.1 4.5 4.3

Kennewick-Richland. . . . . . . . . . . . . . . . . . 140,401 140,290 139,449 141,454 6,577 5,712 6,601 6,284 4.7 4.1 4.7 4.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,842 45,910 46,232 46,471 2,554 2,220 2,462 2,398 5.6 4.8 5.3 5.2

Mount Vernon-Anacortes. . . . . . . . . . . . . . 59,690 59,533 59,699 60,951 2,937 2,615 2,853 2,851 4.9 4.4 4.8 4.7

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 135,308 135,368 136,595 139,037 6,313 5,507 6,207 5,907 4.7 4.1 4.5 4.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,086,860 2,117,734 2,077,400 2,115,242 88,504 77,182 84,643 74,916 4.2 3.6 4.1 3.5

Spokane-Spokane Valley. . . . . . . . . . . . . . 262,877 258,901 266,049 267,148 12,823 11,486 12,607 12,311 4.9 4.4 4.7 4.6

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 31,590 31,359 32,956 33,172 1,357 1,180 1,370 1,305 4.3 3.8 4.2 3.9

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 68,207 68,983 66,730 68,921 2,574 2,265 2,621 2,641 3.8 3.3 3.9 3.8

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,208 138,124 131,823 138,216 6,215 5,551 6,297 6,517 4.6 4.0 4.8 4.7

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 785,351 782,682 783,319 785,538 35,865 34,947 36,014 36,147 4.6 4.5 4.6 4.6

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,844 45,049 45,501 45,129 2,282 2,138 2,287 2,268 5.0 4.7 5.0 5.0

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 95,724 94,427 95,042 94,263 4,541 4,343 4,595 4,465 4.7 4.6 4.8 4.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 148,445 146,045 147,792 146,711 7,379 7,067 7,157 7,231 5.0 4.8 4.8 4.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 68,431 69,595 68,837 70,219 2,431 2,672 2,445 2,729 3.6 3.8 3.6 3.9

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,528 38,064 38,333 38,096 1,875 1,742 1,866 1,831 4.9 4.6 4.9 4.8

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,724 63,552 64,878 64,460 3,167 2,846 3,183 2,920 4.9 4.5 4.9 4.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,166,604 3,147,177 3,159,058 3,148,847 92,134 80,668 86,267 81,663 2.9 2.6 2.7 2.6

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,592 132,987 132,802 132,595 3,412 3,107 3,577 3,114 2.6 2.3 2.7 2.3

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

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,455 93,011 93,530 93,450 2,495 2,114 2,325 2,223 2.7 2.3 2.5 2.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,959 58,059 57,792 58,196 1,405 1,222 1,354 1,292 2.4 2.1 2.3 2.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 176,343 175,632 175,779 175,793 4,686 4,143 4,478 4,238 2.7 2.4 2.5 2.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,906 84,290 85,471 83,927 2,764 2,408 2,563 2,354 3.2 2.9 3.0 2.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 78,855 78,733 79,465 79,193 2,031 1,626 1,874 1,716 2.6 2.1 2.4 2.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391,551 392,807 393,304 392,931 8,966 7,681 8,504 8,164 2.3 2.0 2.2 2.1

Milwaukee-Waukesha-West Allis. . . . . . . 837,844 827,803 831,125 825,377 27,892 24,943 25,623 24,447 3.3 3.0 3.1 3.0

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 94,342 93,752 94,310 93,834 2,571 2,184 2,424 2,260 2.7 2.3 2.6 2.4

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,560 99,106 99,449 98,494 3,733 3,302 3,358 3,137 3.7 3.3 3.4 3.2

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 63,760 63,799 63,092 63,142 1,623 1,368 1,543 1,410 2.5 2.1 2.4 2.2

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,118 74,720 74,257 74,938 1,967 1,655 1,817 1,708 2.7 2.2 2.4 2.3

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292,678 285,812 292,185 287,291 10,386 10,605 10,771 10,094 3.5 3.7 3.7 3.5

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,992 37,580 39,376 38,348 1,751 1,698 1,789 1,624 4.5 4.5 4.5 4.2

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,242 45,904 47,665 46,896 1,602 1,705 1,671 1,625 3.4 3.7 3.5 3.5

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,091,617 1,088,594 1,055,201 1,082,287 120,527 93,171 120,289 89,486 11.0 8.6 11.4 8.3

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 87,712 86,500 85,721 85,975 12,302 9,707 12,928 9,236 14.0 11.2 15.1 10.7

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,919 51,597 50,657 51,832 6,277 5,167 6,782 5,182 12.1 10.0 13.4 10.0

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,183 20,557 20,276 20,297 3,558 2,582 3,235 2,454 16.8 12.6 16.0 12.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,449 26,850 26,840 26,689 3,850 2,827 3,899 2,761 14.0 10.5 14.5 10.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,000 91,789 90,722 91,145 13,324 10,240 13,015 9,809 14.3 11.2 14.3 10.8

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,673 34,239 35,036 33,959 5,953 3,959 6,235 3,723 16.7 11.6 17.8 11.0

San Juan-Carolina-Caguas. . . . . . . . . . . . 730,426 737,068 702,181 732,695 67,703 53,334 67,026 51,346 9.3 7.2 9.5 7.0

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

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

p Preliminary

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

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

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

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

NOT SEASONALLY ADJUSTED

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

division1

State, area, and division

Civilian labor force Unemployed

September October Number Percent of labor force

2017 2018 2017 2018p

September October September October

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,462,033 19,549,346 19,374,412 19,627,398 841,531 767,720 816,310 780,472 4.3 3.9 4.2 4.0

Los Angeles-Long Beach-Anaheim. . . 6,804,412 6,796,129 6,772,653 6,819,994 290,348 293,590 276,364 289,836 4.3 4.3 4.1 4.2

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,632,752 1,628,659 1,626,133 1,640,135 53,348 45,566 51,870 47,097 3.3 2.8 3.2 2.9

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,171,660 5,167,470 5,146,520 5,179,859 237,000 248,024 224,494 242,739 4.6 4.8 4.4 4.7

San Francisco-Oakland-Hayward. . . . . 2,591,894 2,612,354 2,580,850 2,621,765 79,111 66,454 76,921 68,716 3.1 2.5 3.0 2.6

Oakland-Hayward-Berkeley. . . . . . . . 1,421,076 1,431,969 1,415,172 1,436,692 48,612 40,862 47,138 42,331 3.4 2.9 3.3 2.9

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,028,948 1,035,719 1,023,537 1,039,891 26,752 22,362 26,152 22,995 2.6 2.2 2.6 2.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,870 144,666 142,141 145,182 3,747 3,230 3,631 3,390 2.6 2.2 2.6 2.3

District of Columbia. . . . . . . . . . . . . . . . . . . 399,944 399,003 401,245 402,104 25,089 23,790 23,895 22,405 6.3 6.0 6.0 5.6

Washington-Arlington-Alexandria2. . . . 3,396,035 3,389,820 3,389,870 3,407,333 123,220 110,858 120,310 109,384 3.6 3.3 3.5 3.2

Silver Spring-Frederick-Rockville3.. . 692,842 692,660 689,632 694,460 22,298 22,432 23,148 21,991 3.2 3.2 3.4 3.2

Washington-Arlington-Alexandria2.. . 2,703,193 2,697,160 2,700,238 2,712,873 100,922 88,426 97,162 87,393 3.7 3.3 3.6 3.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,202,985 10,263,010 10,128,026 10,261,846 411,122 313,992 390,619 312,597 4.0 3.1 3.9 3.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,149,447 3,137,123 3,141,344 3,138,415 134,972 101,948 129,922 100,701 4.3 3.2 4.1 3.2

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,035,384 1,043,575 1,031,719 1,046,368 38,410 29,572 36,940 29,495 3.7 2.8 3.6 2.8

Miami-Miami Beach-Kendall. . . . . . . 1,387,270 1,364,440 1,386,660 1,357,854 67,082 49,458 65,325 48,791 4.8 3.6 4.7 3.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 726,793 729,108 722,965 734,193 29,480 22,918 27,657 22,415 4.1 3.1 3.8 3.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,496,827 6,462,858 6,483,672 6,527,645 299,985 245,989 294,392 273,133 4.6 3.8 4.5 4.2

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,921,065 4,844,568 4,909,919 4,902,724 230,308 177,481 227,138 196,679 4.7 3.7 4.6 4.0

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,797,676 3,702,559 3,788,939 3,751,182 184,964 133,726 183,508 148,095 4.9 3.6 4.8 3.9

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 321,282 330,529 322,586 333,675 12,932 12,976 12,648 14,548 4.0 3.9 3.9 4.4

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 339,134 341,515 338,299 343,984 15,261 13,983 14,295 15,719 4.5 4.1 4.2 4.6

Lake County-Kenosha County2. . . . 462,973 469,965 460,095 473,883 17,151 16,796 16,687 18,317 3.7 3.6 3.6 3.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,639,953 3,814,745 3,637,788 3,820,853 126,627 120,367 111,544 109,703 3.5 3.2 3.1 2.9

Boston-Cambridge-Nashua2. . . . . . . . . 2,681,308 2,810,408 2,686,390 2,821,460 86,831 82,190 76,931 74,744 3.2 2.9 2.9 2.6

Boston-Cambridge-Newton. . . . . . . . 1,594,487 1,677,380 1,598,473 1,685,029 49,728 46,924 43,731 42,649 3.1 2.8 2.7 2.5

Brockton-Bridgewater-Easton. . . . . . 106,178 111,189 106,313 111,684 4,256 4,023 3,663 3,629 4.0 3.6 3.4 3.2

Framingham. . . . . . . . . . . . . . . . . . . . . 155,996 162,069 155,560 162,669 4,672 4,374 4,100 4,037 3.0 2.7 2.6 2.5

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 114,124 118,555 113,886 118,705 3,483 3,415 3,202 3,165 3.1 2.9 2.8 2.7

Lawrence-Methuen Town-Salem2.. . 96,074 100,556 96,325 100,625 4,452 4,267 3,984 3,829 4.6 4.2 4.1 3.8

Lowell-Billerica-Chelmsford2. . . . . . . 188,437 197,889 188,882 198,316 6,478 6,117 5,800 5,581 3.4 3.1 3.1 2.8

Lynn-Saugus-Marblehead. . . . . . . . . 83,987 88,440 83,958 88,488 2,917 2,853 2,532 2,584 3.5 3.2 3.0 2.9

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 167,979 172,795 168,888 173,614 4,660 4,421 4,479 4,036 2.8 2.6 2.7 2.3

Peabody-Salem-Beverly. . . . . . . . . . . 90,751 94,252 91,028 94,741 3,035 2,875 2,683 2,600 3.3 3.1 2.9 2.7

Taunton-Middleborough-Norton. . . . 83,295 87,283 83,077 87,589 3,150 2,921 2,757 2,634 3.8 3.3 3.3 3.0

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,914,046 4,884,529 4,884,824 4,907,170 221,097 169,211 204,681 185,438 4.5 3.5 4.2 3.8

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,140,148 2,126,331 2,121,865 2,137,075 98,430 79,170 91,876 93,014 4.6 3.7 4.3 4.4

Detroit-Dearborn-Livonia. . . . . . . . . . 801,271 795,127 793,709 799,637 46,349 36,080 42,170 42,987 5.8 4.5 5.3 5.4

Warren-Troy-Farmington Hills. . . . . . 1,338,876 1,331,206 1,328,156 1,337,438 52,081 43,091 49,706 50,027 3.9 3.2 3.7 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,743,446 9,740,425 9,683,391 9,787,056 446,739 365,727 429,759 352,282 4.6 3.8 4.4 3.6

New York-Newark-Jersey City2. . . . . . 10,126,576 10,069,305 10,086,557 10,130,101 455,826 388,363 435,435 364,421 4.5 3.9 4.3 3.6

Dutchess County-Putnam County.. . 196,341 198,370 196,256 200,713 8,674 6,657 8,204 6,273 4.4 3.4 4.2 3.1

Nassau County-Suffolk County. . . . . 1,499,055 1,506,698 1,484,358 1,509,528 64,841 49,876 62,174 46,774 4.3 3.3 4.2 3.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,239,437 1,219,577 1,237,681 1,231,850 58,440 51,581 54,958 45,292 4.7 4.2 4.4 3.7

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,191,743 7,144,660 7,168,262 7,188,010 323,871 280,249 310,099 266,082 4.5 3.9 4.3 3.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,421,837 6,423,332 6,383,896 6,455,032 283,990 250,856 274,047 252,191 4.4 3.9 4.3 3.9

Philadelphia-Camden-Wilmington2. . . . 3,088,445 3,097,567 3,087,668 3,120,672 142,234 126,284 136,774 121,489 4.6 4.1 4.4 3.9

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 642,430 637,417 642,350 642,156 30,439 26,767 28,797 23,390 4.7 4.2 4.5 3.6

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,069,928 1,071,398 1,065,425 1,077,234 39,392 34,996 37,498 35,234 3.7 3.3 3.5 3.3

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,001,022 1,007,394 1,000,178 1,016,015 55,108 48,523 53,638 48,817 5.5 4.8 5.4 4.8

Wilmington3. . . . . . . . . . . . . . . . . . . . . 375,065 381,358 379,715 385,267 17,295 15,998 16,841 14,048 4.6 4.2 4.4 3.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,619,456 13,802,138 13,536,215 13,869,529 548,848 517,036 501,634 478,909 4.0 3.7 3.7 3.5

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,835,897 3,900,738 3,813,603 3,928,333 129,572 133,091 121,199 124,862 3.4 3.4 3.2 3.2

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,588,554 2,639,760 2,576,095 2,659,876 87,150 90,134 81,694 84,448 3.4 3.4 3.2 3.2

Fort Worth-Arlington. . . . . . . . . . . . . . 1,247,343 1,260,978 1,237,508 1,268,457 42,422 42,957 39,505 40,414 3.4 3.4 3.2 3.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,761,882 3,792,019 3,757,972 3,823,627 168,840 147,755 163,671 152,043 4.5 3.9 4.4 4.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,086,860 2,117,734 2,077,400 2,115,242 88,504 77,182 84,643 74,916 4.2 3.6 4.1 3.5

Seattle-Bellevue-Everett. . . . . . . . . . . 1,669,438 1,696,604 1,656,221 1,684,471 67,548 58,721 64,004 55,166 4.0 3.5 3.9 3.3

Tacoma-Lakewood. . . . . . . . . . . . . . . 417,422 421,130 421,179 430,771 20,956 18,461 20,639 19,750 5.0 4.4 4.9 4.6

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 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,021.2 2,050.5 2,028.2 2,062.7 34.5 1.7

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.6 47.3 47.5 0.2 0.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.0 65.9 65.5 66.4 0.9 1.4

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.1 537.9 532.1 538.2 6.1 1.1

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.5 78.0 74.9 77.2 2.3 3.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.0 55.2 54.3 55.4 1.1 2.0

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.8 58.4 58.1 -0.3 -0.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 57.5 56.6 58.1 1.5 2.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 38.5 38.1 38.5 0.4 1.0

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233.4 240.6 233.9 244.2 10.3 4.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.6 186.2 185.5 187.4 1.9 1.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.7 179.9 179.0 180.0 1.0 0.6

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.1 110.0 109.1 111.4 2.3 2.1

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340.2 337.5 322.9 324.0 1.1 0.3

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.6 179.5 175.5 176.1 0.6 0.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 38.7 37.7 38.0 0.3 0.8

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,794.5 2,878.3 2,813.8 2,901.6 87.8 3.1

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.7 70.5 69.1 70.2 1.1 1.6

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.4 50.3 52.1 1.8 3.6

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,049.2 2,123.8 2,067.1 2,143.8 76.7 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 65.9 64.8 66.5 1.7 2.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 33.1 33.6 32.9 -0.7 -2.1

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 379.9 388.4 381.7 389.1 7.4 1.9

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 54.2 54.8 55.5 0.7 1.3

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,248.3 1,259.7 1,254.1 1,263.3 9.2 0.7

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.1 261.9 259.1 262.8 3.7 1.4

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.1 112.5 112.4 112.4 0.0 0.0

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.1 37.7 38.2 0.5 1.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 59.6 58.2 59.6 1.4 2.4

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.7 367.4 361.4 368.0 6.6 1.8

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 32.8 33.2 32.9 -0.3 -0.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,857.9 17,187.9 17,008.5 17,324.2 315.7 1.9

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.8 263.6 261.8 266.0 4.2 1.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.9 85.1 83.9 85.7 1.8 2.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 52.7 52.8 53.8 1.0 1.9

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347.4 356.7 351.4 360.8 9.4 2.7

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.2 40.4 39.8 39.8 0.0 0.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,072.1 6,135.3 6,121.5 6,193.9 72.4 1.2

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 39.2 38.6 39.5 0.9 2.3

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 72.2 69.4 72.0 2.6 3.7

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.5 179.7 175.9 178.5 2.6 1.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 73.9 73.9 73.8 -0.1 -0.1

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304.9 308.3 305.6 310.7 5.1 1.7

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 68.4 67.1 68.6 1.5 2.2

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,452.6 1,495.1 1,474.4 1,511.6 37.2 2.5

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973.1 984.7 980.2 992.8 12.6 1.3

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.2 143.9 141.8 143.8 2.0 1.4

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,452.6 1,481.4 1,466.1 1,492.1 26.0 1.8

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,399.6 2,448.9 2,418.3 2,460.0 41.7 1.7

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,099.2 1,137.8 1,111.9 1,147.2 35.3 3.2

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 116.0 117.6 118.4 120.0 1.6 1.4

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.4 103.1 104.0 105.9 1.9 1.8

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 182.7 185.9 186.0 0.1 0.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.5 213.7 207.9 214.4 6.5 3.1

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.3 245.9 239.6 247.3 7.7 3.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.0 141.4 139.8 141.5 1.7 1.2

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.5 129.3 126.9 128.8 1.9 1.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.7 44.5 44.4 44.9 0.5 1.1

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,677.5 2,747.1 2,683.0 2,754.0 71.0 2.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.2 194.6 189.5 197.2 7.7 4.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289.5 302.9 290.1 305.8 15.7 5.4

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,470.9 1,506.4 1,476.9 1,514.2 37.3 2.5

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.8 173.1 168.9 173.8 4.9 2.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 65.1 64.3 65.3 1.0 1.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.1 110.7 107.5 111.9 4.4 4.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 62.9 62.7 63.1 0.4 0.6

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,681.9 1,701.0 1,688.0 1,709.7 21.7 1.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.0 409.9 405.8 409.7 3.9 1.0

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.2 79.0 78.5 79.6 1.1 1.4

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.1 582.8 578.0 586.2 8.2 1.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285.0 287.5 285.0 290.1 5.1 1.8

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.6 133.9 131.3 133.1 1.8 1.4

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 67.1 67.5 67.3 -0.2 -0.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457.5 463.1 460.0 465.3 5.3 1.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 70.5 69.6 71.1 1.5 2.2

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.4 162.7 158.1 158.8 0.7 0.4

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.7 794.5 797.5 799.5 2.0 0.3

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,275.4 3,339.6 3,292.7 3,353.4 60.7 1.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,389.9 8,775.4 8,619.2 8,849.4 230.2 2.7

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 248.3 264.8 259.1 269.3 10.2 3.9

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 118.4 114.3 117.8 3.5 3.1

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197.0 203.0 201.6 203.3 1.7 0.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.7 146.6 144.6 147.4 2.8 1.9

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.6 33.7 33.0 34.0 1.0 3.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 684.2 711.4 697.3 712.1 14.8 2.1

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.1 226.9 220.5 230.3 9.8 4.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,564.6 2,668.6 2,636.0 2,700.0 64.0 2.4

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.1 141.3 138.6 144.4 5.8 4.2

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 292.7 308.4 300.8 310.7 9.9 3.3

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.3 104.8 101.6 105.6 4.0 3.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,233.2 1,300.9 1,256.7 1,312.1 55.4 4.4

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209.9 219.4 213.4 221.5 8.1 3.8

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.1 86.9 85.5 85.4 -0.1 -0.1

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.5 181.8 178.8 182.9 4.1 2.3

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.5 147.4 146.3 149.4 3.1 2.1

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 47.8 47.7 48.6 0.9 1.9

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 51.6 50.8 51.9 1.1 2.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.0 25.7 25.2 25.7 0.5 2.0

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.2 183.9 181.9 185.4 3.5 1.9

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,303.6 1,352.5 1,331.0 1,360.1 29.1 2.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.7 28.3 28.1 28.7 0.6 2.1

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,453.9 4,565.5 4,500.8 4,594.8 94.0 2.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.3 63.7 63.9 0.2 0.3

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.5 101.1 98.4 102.6 4.2 4.3

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,731.2 2,796.5 2,752.2 2,813.0 60.8 2.2

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.2 241.0 238.6 243.0 4.4 1.8

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 44.4 43.6 44.2 0.6 1.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.8 123.2 122.1 124.1 2.0 1.6

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.1 68.5 66.9 68.4 1.5 2.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.2 94.4 91.0 95.2 4.2 4.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.4 20.7 20.4 20.8 0.4 2.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.4 103.5 102.8 103.8 1.0 1.0

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.5 41.3 41.7 0.4 1.0

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.4 178.6 179.6 179.3 -0.3 -0.2

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 57.1 56.2 57.7 1.5 2.7

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.8 74.6 73.9 74.7 0.8 1.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.8 662.4 656.2 666.7 10.5 1.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.9 77.7 76.5 77.4 0.9 1.2

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.2 484.6 479.6 489.5 9.9 2.1

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 727.1 744.5 732.2 746.9 14.7 2.0

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321.2 330.4 323.5 331.5 8.0 2.5

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 67.4 64.4 66.9 2.5 3.9

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.2 67.3 66.7 67.6 0.9 1.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 30.0 29.3 30.1 0.8 2.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 37.5 37.6 38.2 0.6 1.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,103.6 6,155.0 6,147.9 6,207.0 59.1 1.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.7 94.3 95.5 95.5 0.0 0.0

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 57.7 58.6 58.2 -0.4 -0.7

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.0 113.3 113.5 114.7 1.2 1.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,724.0 4,751.5 4,754.6 4,795.9 41.3 0.9

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.4 28.3 28.5 0.2 0.7

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.3 187.8 186.0 189.7 3.7 2.0

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 52.0 51.7 52.4 0.7 1.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 49.9 47.5 50.2 2.7 5.7

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.4 172.9 173.4 173.3 -0.1 -0.1

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.3 152.6 152.4 153.6 1.2 0.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.5 112.6 112.9 112.5 -0.4 -0.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,137.1 3,164.2 3,146.3 3,174.8 28.5 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.3 76.5 78.2 77.2 -1.0 -1.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 55.0 53.3 55.3 2.0 3.8

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.9 145.6 140.5 146.3 5.8 4.1

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.9 164.8 163.8 164.8 1.0 0.6

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.4 229.2 223.9 230.8 6.9 3.1

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,066.8 1,089.8 1,066.7 1,091.4 24.7 2.3

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 44.2 42.6 44.1 1.5 3.5

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.4 109.6 106.3 110.5 4.2 4.0

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.5 41.8 41.3 -0.5 -1.2

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.4 53.4 53.6 0.2 0.4

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 144.9 144.6 145.6 1.0 0.7

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.6 71.8 71.4 72.6 1.2 1.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,577.8 1,593.4 1,588.7 1,611.2 22.5 1.4

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.4 56.4 56.0 57.1 1.1 2.0

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 146.0 145.1 146.2 1.1 0.8

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.1 374.2 367.1 379.4 12.3 3.4

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 59.8 60.4 60.8 0.4 0.7

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.4 103.1 102.9 104.3 1.4 1.4

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.3 88.2 87.5 89.1 1.6 1.8

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.1 91.0 91.4 91.6 0.2 0.2

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,410.1 1,430.9 1,422.2 1,441.8 19.6 1.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 54.6 54.9 54.8 -0.1 -0.2

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 44.2 44.0 44.3 0.3 0.7

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.4 111.4 111.8 112.2 0.4 0.4

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294.4 298.2 296.9 299.0 2.1 0.7

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,930.6 1,941.5 1,930.7 1,939.4 8.7 0.5

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 78.4 76.8 78.1 1.3 1.7

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 56.9 56.3 56.9 0.6 1.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.5 281.8 281.3 284.0 2.7 1.0

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 670.6 675.3 671.6 669.7 -1.9 -0.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 55.0 54.2 54.7 0.5 0.9

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,967.2 1,986.8 1,982.0 1,998.6 16.6 0.8

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 62.0 62.5 62.4 -0.1 -0.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406.2 414.3 407.2 413.1 5.9 1.4

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 47.5 46.9 47.7 0.8 1.7

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 85.8 86.2 85.7 -0.5 -0.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201.0 201.0 201.3 202.2 0.9 0.4

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.5 120.1 117.6 121.1 3.5 3.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 78.3 78.9 79.5 0.6 0.8

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 571.6 578.3 575.7 584.8 9.1 1.6

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.4 179.4 179.1 180.0 0.9 0.5

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 636.5 642.1 629.7 636.7 7.0 1.1

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.3 67.3 67.6 67.6 0.0 0.0

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.5 51.7 51.8 0.1 0.2

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.1 214.6 209.6 212.3 2.7 1.3

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,733.0 2,755.0 2,736.9 2,776.2 39.3 1.4

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,404.9 1,423.6 1,411.1 1,436.5 25.4 1.8

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.6 45.0 45.8 0.8 1.8

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.6 39.4 40.0 40.0 0.0 0.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 107.8 106.5 110.1 3.6 3.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,629.2 3,697.7 3,654.3 3,719.4 65.1 1.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.6 112.2 107.7 108.1 0.4 0.4

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,745.2 2,800.6 2,767.5 2,820.6 53.1 1.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.3 53.7 53.6 54.1 0.5 0.9

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 68.9 68.0 69.3 1.3 1.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 42.3 41.5 42.5 1.0 2.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.2 340.3 340.2 344.2 4.0 1.2

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.9 296.0 290.7 297.5 6.8 2.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,401.9 4,459.8 4,423.6 4,483.5 59.9 1.4

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.6 226.9 225.6 229.4 3.8 1.7

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.8 58.5 59.3 0.8 1.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.0 36.0 36.2 36.0 -0.2 -0.6

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,013.0 2,026.0 2,018.4 2,039.7 21.3 1.1

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.5 141.9 142.7 143.2 0.5 0.4

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 555.5 570.5 558.9 572.4 13.5 2.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 58.0 58.9 58.7 -0.2 -0.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.1 150.5 150.4 151.8 1.4 0.9

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.8 240.9 239.4 244.1 4.7 2.0

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.4 37.8 37.3 37.7 0.4 1.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.7 43.2 43.0 43.5 0.5 1.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 64.9 65.0 64.6 -0.4 -0.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.2 62.6 63.1 0.5 0.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.6 89.5 89.1 90.4 1.3 1.5

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,953.3 2,992.0 2,966.5 3,003.1 36.6 1.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.4 139.7 138.7 140.7 2.0 1.4

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.5 60.4 60.3 62.1 1.8 3.0

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,006.0 2,039.9 2,014.3 2,048.0 33.7 1.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.8 121.1 121.1 121.9 0.8 0.7

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.2 112.3 111.3 113.0 1.7 1.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,152.9 1,169.2 1,161.2 1,174.9 13.7 1.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.1 154.8 154.8 154.8 0.0 0.0

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 65.9 65.7 66.5 0.8 1.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.7 282.6 283.3 285.0 1.7 0.6

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,883.0 2,924.0 2,897.3 2,942.2 44.9 1.5

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.7 45.7 45.2 45.9 0.7 1.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.8 101.5 101.8 102.2 0.4 0.4

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.3 77.7 77.7 78.0 0.3 0.4

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 81.9 81.5 82.3 0.8 1.0

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,091.7 1,111.9 1,097.1 1,115.3 18.2 1.7

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 65.4 64.9 66.1 1.2 1.8

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,382.5 1,394.2 1,390.9 1,402.6 11.7 0.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 214.2 216.8 214.5 217.2 2.7 1.3

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478.3 485.3 476.0 483.3 7.3 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 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.8 86.6 85.5 86.0 0.5 0.6

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.2 36.4 36.1 36.2 0.1 0.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 63.2 62.3 63.4 1.1 1.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,019.5 1,036.7 1,023.6 1,039.2 15.6 1.5

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 43.4 42.5 42.9 0.4 0.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.9 192.2 189.5 193.1 3.6 1.9

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499.1 509.7 502.6 513.2 10.6 2.1

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,354.5 1,400.5 1,362.2 1,409.1 46.9 3.4

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.4 31.1 30.7 31.3 0.6 2.0

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 984.5 1,019.5 991.0 1,024.9 33.9 3.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.9 244.4 237.3 248.0 10.7 4.5

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.1 693.7 683.7 700.0 16.3 2.4

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 55.4 55.7 56.0 0.3 0.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.8 113.6 112.8 114.5 1.7 1.5

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.2 96.5 94.2 96.4 2.2 2.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,146.3 4,198.3 4,160.3 4,230.8 70.5 1.7

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.8 137.6 130.1 135.6 5.5 4.2

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.8 49.2 41.7 44.7 3.0 7.2

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.1 275.6 270.6 278.1 7.5 2.8

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 59.5 59.4 59.6 0.2 0.3

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 834.1 855.2 837.6 860.7 23.1 2.8

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391.1 400.5 392.5 403.5 11.0 2.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.7 49.4 49.4 49.5 0.1 0.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.4 70.5 71.1 70.9 -0.2 -0.3

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 63.6 63.4 64.2 0.8 1.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,534.9 9,646.7 9,624.5 9,747.7 123.2 1.3

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469.5 470.4 475.4 480.4 5.0 1.1

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.3 103.7 105.4 105.5 0.1 0.1

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 567.9 574.6 573.9 580.3 6.4 1.1

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 36.5 37.1 36.3 -0.8 -2.2

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 56.9 56.6 56.8 0.2 0.4

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 67.1 66.4 68.3 1.9 2.9

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.5 63.6 65.0 1.4 2.2

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,679.9 9,782.2 9,770.9 9,879.4 108.5 1.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 534.9 541.3 542.2 546.5 4.3 0.8

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.2 321.0 322.0 325.6 3.6 1.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 127.4 128.0 128.6 0.6 0.5

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 42.7 42.3 42.7 0.4 0.9

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,433.5 4,517.8 4,465.4 4,571.5 106.1 2.4

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.6 193.5 193.8 195.1 1.3 0.7

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 61.9 61.9 62.9 1.0 1.6

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,186.5 1,219.0 1,203.6 1,232.4 28.8 2.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.2 318.0 313.8 319.5 5.7 1.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.5 130.0 130.3 132.4 2.1 1.6

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 41.6 41.8 42.1 0.3 0.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.9 365.0 362.0 369.4 7.4 2.0

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 81.3 80.4 81.2 0.8 1.0

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.2 156.5 154.0 157.9 3.9 2.5

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 49.3 49.1 50.5 1.4 2.9

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 44.4 44.7 45.0 0.3 0.7

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 619.2 640.4 624.6 645.4 20.8 3.3

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 54.7 56.3 56.1 -0.2 -0.4

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.6 122.8 126.3 126.0 -0.3 -0.2

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.0 268.2 266.1 271.7 5.6 2.1

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 435.7 439.9 436.4 442.0 5.6 1.3

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.9 73.8 73.7 74.4 0.7 0.9

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.2 144.0 144.3 145.1 0.8 0.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 57.4 57.3 58.1 0.8 1.4

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,555.2 5,656.4 5,578.3 5,692.5 114.2 2.0

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.0 348.9 346.4 350.8 4.4 1.3

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.6 174.8 175.1 176.2 1.1 0.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,099.8 1,114.8 1,100.7 1,120.9 20.2 1.8

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.7 1,086.2 1,066.4 1,093.3 26.9 2.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,088.9 1,099.7 1,090.7 1,111.9 21.2 1.9

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.4 396.4 393.6 398.1 4.5 1.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 53.1 53.9 53.5 -0.4 -0.7

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.4 53.3 52.5 53.4 0.9 1.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.8 50.3 51.2 0.9 1.8

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.5 311.2 310.9 313.4 2.5 0.8

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.4 41.5 41.7 0.2 0.5

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.2 218.8 222.4 220.1 -2.3 -1.0

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,673.0 1,703.1 1,687.1 1,710.6 23.5 1.4

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.7 25.8 25.7 26.0 0.3 1.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.7 45.7 46.2 0.5 1.1

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 641.3 655.7 645.3 659.8 14.5 2.2

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 450.1 464.6 456.4 467.4 11.0 2.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,881.6 1,931.6 1,898.4 1,945.3 46.9 2.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 46.3 45.0 47.0 2.0 4.4

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.0 86.4 82.4 85.8 3.4 4.1

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.0 43.5 44.0 0.5 1.1

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.4 162.7 161.2 164.7 3.5 2.2

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 27.0 26.5 27.0 0.5 1.9

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 89.6 89.2 90.0 0.8 0.9

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,179.1 1,207.4 1,186.2 1,216.6 30.4 2.6

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.1 169.0 165.9 171.1 5.2 3.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,986.6 6,070.3 6,022.7 6,117.6 94.9 1.6

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372.4 376.7 374.5 383.0 8.5 2.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 62.0 61.1 62.0 0.9 1.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.2 43.1 43.5 43.4 -0.1 -0.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.5 61.5 60.7 61.8 1.1 1.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.5 58.9 58.0 58.8 0.8 1.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.4 129.3 129.7 129.5 -0.2 -0.2

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 36.5 35.9 36.7 0.8 2.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.9 349.3 344.8 349.6 4.8 1.4

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.2 55.5 56.2 56.6 0.4 0.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.6 258.7 255.6 261.1 5.5 2.2

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 52.8 52.6 53.0 0.4 0.8

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,922.7 2,968.2 2,947.4 2,991.0 43.6 1.5

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,184.7 1,195.6 1,190.6 1,204.6 14.0 1.2

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.8 181.8 179.7 182.9 3.2 1.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.8 269.6 267.9 270.9 3.0 1.1

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 79.2 80.7 81.6 0.9 1.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 53.0 53.7 53.1 -0.6 -1.1

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.5 189.6 187.4 190.9 3.5 1.9

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499.5 507.8 502.6 509.3 6.7 1.3

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 594.3 602.1 598.7 605.3 6.6 1.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,085.1 2,114.4 2,102.1 2,140.1 38.0 1.8

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 352.1 356.0 355.4 363.6 8.2 2.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.3 399.2 396.6 401.9 5.3 1.3

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.0 89.1 88.0 90.0 2.0 2.3

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.5 420.2 419.4 425.4 6.0 1.4

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.7 80.7 78.4 81.1 2.7 3.4

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.7 170.7 166.0 170.4 4.4 2.7

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.3 155.3 154.8 157.0 2.2 1.4

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.1 39.7 39.4 40.1 0.7 1.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 438.3 446.3 438.7 446.6 7.9 1.8

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.9 71.5 69.0 70.6 1.6 2.3

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.0 158.7 156.6 159.2 2.6 1.7

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,033.1 3,091.0 3,047.8 3,106.7 58.9 1.9

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.4 266.4 260.5 266.3 5.8 2.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.5 91.6 90.4 92.5 2.1 2.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.6 47.5 48.0 0.5 1.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 70.2 68.8 70.2 1.4 2.0

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.3 80.5 80.8 81.5 0.7 0.9

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.1 123.6 122.2 123.6 1.4 1.1

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 399.2 400.5 399.6 400.5 0.9 0.2

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 643.6 656.8 648.8 662.2 13.4 2.1

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 47.2 46.7 47.7 1.0 2.1

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 991.4 1,008.1 996.3 1,012.8 16.5 1.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,219.4 12,632.8 12,352.5 12,738.7 386.2 3.1

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 70.0 69.1 70.6 1.5 2.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.7 121.4 119.9 122.6 2.7 2.3

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,032.5 1,076.9 1,042.1 1,082.5 40.4 3.9

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.8 161.5 163.4 164.1 0.7 0.4

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.8 143.1 141.4 143.3 1.9 1.3

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.1 122.3 121.8 124.2 2.4 2.0

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.4 192.0 190.8 194.9 4.1 2.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,611.3 3,720.8 3,643.4 3,752.4 109.0 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.3 319.7 314.4 321.7 7.3 2.3

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,007.2 3,135.2 3,041.0 3,158.8 117.8 3.9

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 145.4 143.7 146.6 2.9 2.0

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.8 104.3 104.1 104.8 0.7 0.7

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.1 97.4 97.0 98.1 1.1 1.1

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.8 151.5 149.4 152.8 3.4 2.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.1 261.9 259.8 263.9 4.1 1.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.7 104.0 95.8 104.6 8.8 9.2

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.9 76.1 75.6 76.6 1.0 1.3

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 49.8 49.4 50.2 0.8 1.6

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,044.4 1,054.2 1,049.8 1,059.0 9.2 0.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.9 48.2 46.9 48.7 1.8 3.8

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.8 60.4 60.4 60.9 0.5 0.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.6 108.4 105.2 110.0 4.8 4.6

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.4 40.2 40.9 40.3 -0.6 -1.5

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 122.6 120.7 122.4 1.7 1.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 59.2 59.0 59.8 0.8 1.4

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,482.7 1,531.6 1,490.9 1,539.2 48.3 3.2

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 63.7 62.4 64.6 2.2 3.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.3 261.5 258.1 262.6 4.5 1.7

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.8 264.4 255.1 265.5 10.4 4.1

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 67.8 65.5 68.8 3.3 5.0

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 720.5 740.3 724.6 743.7 19.1 2.6

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.8 313.3 318.6 315.6 -3.0 -0.9

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.1 124.6 127.1 125.7 -1.4 -1.1

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,964.9 4,032.0 3,977.7 4,048.3 70.6 1.8

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 78.4 77.4 79.4 2.0 2.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.6 123.8 119.1 122.8 3.7 3.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.0 68.7 68.8 69.5 0.7 1.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 106.4 104.6 106.6 2.0 1.9

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 674.7 681.1 676.8 686.1 9.3 1.4

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.6 163.9 160.9 164.7 3.8 2.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.9 50.9 50.1 51.4 1.3 2.6

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783.7 790.9 782.5 792.6 10.1 1.3

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 65.6 64.5 66.6 2.1 3.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,355.1 3,458.5 3,374.0 3,486.5 112.5 3.3

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2017 to October

2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.4 95.2 94.3 97.9 3.6 3.8

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.0 92.8 91.7 93.3 1.6 1.7

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.9 116.6 114.2 117.5 3.3 2.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 41.3 40.4 41.0 0.6 1.5

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.1 50.4 51.7 1.3 2.6

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.2 119.9 117.8 121.3 3.5 3.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,012.9 2,087.4 2,024.3 2,097.6 73.3 3.6

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247.5 248.3 248.6 252.0 3.4 1.4

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.7 28.4 29.0 29.7 0.7 2.4

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 47.7 46.2 47.5 1.3 2.8

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.5 91.4 89.5 92.3 2.8 3.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 751.4 757.1 756.7 764.0 7.3 1.0

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.7 45.2 45.6 45.1 -0.5 -1.1

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.4 116.2 117.0 115.9 -1.1 -0.9

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.7 138.5 140.4 139.2 -1.2 -0.9

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 73.7 73.4 74.6 1.2 1.6

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 39.5 40.0 39.5 -0.5 -1.3

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 66.6 67.1 67.3 0.2 0.3

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,957.0 2,996.9 2,979.5 3,011.0 31.5 1.1

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.1 127.9 126.0 128.3 2.3 1.8

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 88.1 87.5 88.6 1.1 1.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.4 48.6 49.7 1.1 2.3

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.2 181.6 179.9 182.7 2.8 1.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 68.5 68.9 68.6 -0.3 -0.4

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 80.6 80.4 81.4 1.0 1.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401.9 410.6 406.9 412.4 5.5 1.4

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 868.8 875.8 872.4 879.8 7.4 0.8

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.6 98.8 99.1 99.8 0.7 0.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 78.3 78.0 78.5 0.5 0.6

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.1 64.6 63.1 64.3 1.2 1.9

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.1 74.1 72.8 74.6 1.8 2.5

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.9 294.1 284.4 290.8 6.4 2.3

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.1 39.1 39.2 39.1 -0.1 -0.3

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 47.1 46.9 47.0 0.1 0.2

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 867.0 849.6 836.3 853.5 17.2 2.1

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 50.3 50.2 50.5 0.3 0.6

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.7 33.1 33.0 33.2 0.2 0.6

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 13.9 14.0 13.9 -0.1 -0.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.0 30.0 30.4 30.0 -0.4 -1.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.3 66.4 66.6 66.7 0.1 0.2

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19.0 18.8 18.8 18.8 0.0 0.0

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 630.9 622.0 609.6 624.7 15.1 2.5

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.8 36.9 35.7 37.2 1.5 4.2

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

the first principal city.

2 Area boundary does not reflect official OMB delineation.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes

available. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

September October Change from

October 2017 to October 2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,857.9 17,187.9 17,008.5 17,324.2 315.7 1.9

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,072.1 6,135.3 6,121.5 6,193.9 72.4 1.2

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,622.4 1,634.8 1,635.2 1,649.6 14.4 0.9

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,449.7 4,500.5 4,486.3 4,544.3 58.0 1.3

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,399.6 2,448.9 2,418.3 2,460.0 41.7 1.7

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,164.9 1,189.6 1,174.9 1,195.0 20.1 1.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,119.9 1,139.9 1,126.7 1,145.9 19.2 1.7

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.8 119.4 116.7 119.1 2.4 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 792.7 794.5 797.5 799.5 2.0 0.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,275.4 3,339.6 3,292.7 3,353.4 60.7 1.8

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 591.1 604.5 592.4 605.9 13.5 2.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,684.3 2,735.1 2,700.3 2,747.5 47.2 1.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,389.9 8,775.4 8,619.2 8,849.4 230.2 2.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,564.6 2,668.6 2,636.0 2,700.0 64.0 2.4

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 817.3 849.3 839.1 857.9 18.8 2.2

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,145.6 1,195.6 1,180.0 1,209.1 29.1 2.5

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 601.7 623.7 616.9 633.0 16.1 2.6

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,103.6 6,155.0 6,147.9 6,207.0 59.1 1.0

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,724.0 4,751.5 4,754.6 4,795.9 41.3 0.9

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,763.4 3,782.8 3,789.0 3,818.4 29.4 0.8

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.6 263.6 262.8 266.1 3.3 1.3

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.4 281.6 281.7 282.9 1.2 0.4

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421.6 423.5 421.1 428.5 7.4 1.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,629.2 3,697.7 3,654.3 3,719.4 65.1 1.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,745.2 2,800.6 2,767.5 2,820.6 53.1 1.9

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,847.3 1,891.3 1,865.2 1,905.8 40.6 2.2

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.3 82.5 82.2 83.5 1.3 1.6

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.7 173.2 173.3 174.2 0.9 0.5

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.8 68.5 67.5 68.6 1.1 1.6

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.0 85.7 84.9 86.2 1.3 1.5

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.2 161.8 159.7 162.5 2.8 1.8

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 47.3 46.3 47.2 0.9 1.9

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.8 131.2 129.5 132.2 2.7 2.1

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.8 96.9 97.9 97.7 -0.2 -0.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.1 62.2 61.0 62.7 1.7 2.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,401.9 4,459.8 4,423.6 4,483.5 59.9 1.4

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,013.0 2,026.0 2,018.4 2,039.7 21.3 1.1

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 758.7 767.6 762.7 770.3 7.6 1.0

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,254.3 1,258.4 1,255.7 1,269.4 13.7 1.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,534.9 9,646.7 9,624.5 9,747.7 123.2 1.3

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,679.9 9,782.2 9,770.9 9,879.4 108.5 1.1

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.6 149.7 151.0 153.5 2.5 1.7

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,346.3 1,358.6 1,353.8 1,366.0 12.2 0.9

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,211.7 1,211.8 1,216.8 1,224.8 8.0 0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,974.3 7,062.1 7,049.3 7,135.1 85.8 1.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,986.6 6,070.3 6,022.7 6,117.6 94.9 1.6

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,922.7 2,968.2 2,947.4 2,991.0 43.6 1.5

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545.5 550.3 548.8 554.9 6.1 1.1

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.1 1,077.8 1,076.7 1,085.5 8.8 0.8

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 951.3 974.1 961.1 982.0 20.9 2.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.8 366.0 360.8 368.6 7.8 2.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,219.4 12,632.8 12,352.5 12,738.7 386.2 3.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,611.3 3,720.8 3,643.4 3,752.4 109.0 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,575.8 2,662.2 2,601.6 2,686.6 85.0 3.3

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,035.5 1,058.6 1,041.8 1,065.8 24.0 2.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,355.1 3,458.5 3,374.0 3,486.5 112.5 3.3

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,012.9 2,087.4 2,024.3 2,097.6 73.3 3.6

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,696.8 1,761.5 1,708.0 1,770.0 62.0 3.6

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.1 325.9 316.3 327.6 11.3 3.6

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 2018

(U.S. rate = 3.5 percent)

Map includes data for 388 metropolitan areas basedon Office of Management and Budget Bulletin No. 15- 01. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, October 2018

(U.S. average = 1.7 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Management and Budget Bulletin No. 15-

01. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.