For release 10:00 a.m. (EST) Tuesday, November 6, 2018 USDL-18-1786 

Technical information: 

 Employment: (202) 691-6559 • sminfo@bls.gov • www.bls.gov/sae 

 Unemployment: (202) 691-6392 • lausinfo@bls.gov • www.bls.gov/lau 

Media contact: (202) 691-5902 • PressOffice@bls.gov 

METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — SEPTEMBER 2018 

Unemployment rates were lower in September than a year earlier in 308 of the 388 metropolitan areas, 

higher in 58 areas, and unchanged in 22 areas, the U.S. Bureau of Labor Statistics reported today. A 

total of 109 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 58 metropolitan areas, decreased in 1 area, and 

was essentially unchanged in 329 areas. The national unemployment rate in September was 3.6 percent, 

not seasonally adjusted, down from 4.1 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In September, Ames, IA, had the lowest unemployment rate, 1.4 percent. El Centro, CA, and Yuma, AZ, 

had the highest unemployment rates, 19.3 percent and 19.1 percent, respectively. A total of 201 areas 

had September jobless rates below the U.S. rate of 3.6 percent, 169 areas had rates above it, and 18 areas 

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

The largest over-the-year unemployment rate decrease occurred in Brunswick, GA (-3.2 percentage 

points). Eighty-one additional areas had rate declines of at least 1.0 percentage point. Texarkana, TXAR, had the largest over-the-year rate increase in September (+0.9 percentage point).

Hurricane Florence 

Hurricane Florence affected parts of the East Coast during the September reference periods for the 

establishment and household surveys. Response rates for the two surveys were within normal ranges 

both nationally and for the affected areas. For information on how unusually severe weather can affect 

the employment and hours estimates, see the Frequently Asked Questions section of the Employment 

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

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 September, 2.2 percent. New OrleansMetairie, LA, had the highest jobless rate among the large areas, 4.8 percent, closely followed by Las 

Vegas-Henderson-Paradise, NV, 4.7 percent. Thirty-eight large areas had over-the-year unemployment 

rate decreases, seven had increases, and six had no change. The largest rate decreases occurred in 

Buffalo-Cheektowaga-Niagara Falls, NY, and Charlotte-Concord-Gastonia, NC-SC (-1.2 percentage 

points each). The largest over-the-year rate increase was in Louisville/Jefferson County, KY-IN (+0.5 

percentage point).

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

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

essentially separately identifiable employment centers. In September, San Francisco-Redwood CitySouth San Francisco, CA, and San Rafael, CA, had the lowest unemployment rates among the divisions, 

2.2 percent each. Los Angeles-Long Beach-Glendale, CA, and Philadelphia, PA, had the highest 

division rates, 4.8 percent each. (See table 2.)

In September, 34 metropolitan divisions had over-the-year unemployment rate decreases, 1 had an 

increase, and 3 had no change. The largest rate declines occurred in Chicago-Naperville-Arlington 

Heights, IL, and Detroit-Dearborn-Livonia, MI (-1.3 percentage points each). The lone over-the-year 

rate increase was marginal (+0.2 percentage point in Los Angeles-Long Beach-Glendale, CA). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In September, 58 metropolitan areas had over-the-year increases in nonfarm payroll employment, 1 had 

a decrease, and 329 were essentially unchanged. The largest over-the-year employment increases 

occurred in Houston-The Woodlands-Sugar Land, TX (+128,700), Dallas-Fort Worth-Arlington, TX 

(+109,400), and New York-Newark-Jersey City, NY-NJ-PA (+108,500). The largest over-the-year 

percentage gains in employment occurred in Midland, TX (+9.0 percent), and Atlantic CityHammonton, NJ, and Cape Coral-Fort Myers, FL (+7.0 percent each). Employment fell in Wilmington, 

NC (-4,500, or -3.6 percent). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 34 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 17 areas. The largest 

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

Orlando-Kissimmee-Sanford, FL (+5.9 percent), Jacksonville, FL (+4.4 percent), and Houston-The 

Woodlands-Sugar Land, TX (+4.3 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In September, nonfarm payroll employment increased in 17 of the 38 metropolitan divisions over the 

year and was essentially unchanged in 21 divisions. The largest over-the-year increase in employment 

among the metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+93,000), 

followed by Dallas-Plano-Irving, TX (+85,900), and Seattle-Bellevue-Everett, WA (+66,300). (See table 

4.) 
- 3 - 

The largest over-the-year percentage increase in employment occurred in Miami-Miami Beach-Kendall, 

FL (+4.4 percent), followed by Fort Lauderdale-Pompano Beach-Deerfield Beach, FL (+4.3 percent), 

and San Rafael, CA, and Seattle-Bellevue-Everett, WA (+3.9 percent each). 

_____________ 

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

on Friday, November 16, 2018, at 10:00 a.m. (EST). The Metropolitan Area Employment and 

Unemployment news release for October is scheduled to be released on Thursday, November 29, 

2018, 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

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,158,653 2,203,700 2,166,431 2,206,663 93,099 91,801 79,571 84,262 4.3 4.2 3.7 3.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,386 46,354 45,006 46,458 2,203 2,261 1,880 2,098 4.9 4.9 4.2 4.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 72,707 73,830 73,324 73,996 2,885 2,886 2,368 2,635 4.0 3.9 3.2 3.6

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 532,228 543,210 533,105 541,841 20,989 20,441 17,880 18,886 3.9 3.8 3.4 3.5

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 92,994 96,201 91,543 94,579 3,543 3,524 3,067 3,230 3.8 3.7 3.4 3.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,176 70,054 68,226 69,680 2,838 2,684 2,447 2,457 4.2 3.8 3.6 3.5

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,149 62,733 62,201 62,948 2,658 2,727 2,315 2,520 4.3 4.3 3.7 4.0

Florence-Muscle Shoals. . . . . . . . . . . . . . . 64,407 65,318 64,697 65,280 3,065 3,067 2,618 2,745 4.8 4.7 4.0 4.2

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,412 42,944 42,614 43,267 1,888 1,865 1,636 1,699 4.5 4.3 3.8 3.9

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,894 224,494 215,770 224,111 8,157 8,176 7,022 7,540 3.8 3.6 3.3 3.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,692 187,395 185,281 188,024 9,385 9,275 8,025 8,592 5.1 4.9 4.3 4.6

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 171,016 173,925 171,062 174,615 7,051 7,224 6,098 6,603 4.1 4.2 3.6 3.8

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 112,561 114,313 113,731 114,939 4,761 4,577 3,917 4,085 4.2 4.0 3.4 3.6

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 368,916 360,594 363,815 355,303 23,546 19,358 24,193 19,813 6.4 5.4 6.6 5.6

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 200,222 196,066 201,042 196,416 12,234 10,029 12,849 10,353 6.1 5.1 6.4 5.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,118 46,453 46,885 46,012 2,611 2,065 2,747 2,232 5.5 4.4 5.9 4.9

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,314,163 3,361,702 3,351,088 3,435,301 171,931 177,926 162,539 168,423 5.2 5.3 4.9 4.9

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,699 77,338 77,751 80,436 4,187 4,367 3,855 4,035 5.5 5.6 5.0 5.0

Lake Havasu City-Kingman. . . . . . . . . . . . 83,271 84,672 83,096 85,322 4,953 5,075 4,761 4,949 5.9 6.0 5.7 5.8

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,307,376 2,347,659 2,329,510 2,397,273 101,233 106,078 97,359 101,375 4.4 4.5 4.2 4.2

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,252 103,205 103,317 104,951 4,664 4,905 4,514 4,836 4.6 4.8 4.4 4.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 48,701 47,935 49,340 49,200 2,863 2,901 2,806 2,831 5.9 6.1 5.7 5.8

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470,143 474,524 480,619 488,609 21,874 22,684 21,117 21,841 4.7 4.8 4.4 4.5

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,508 96,970 96,421 97,295 21,836 21,467 18,271 18,583 22.4 22.1 18.9 19.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,360,376 1,345,054 1,363,077 1,347,541 51,805 45,192 48,345 44,870 3.8 3.4 3.5 3.3

Fayetteville-Springdale-Rogers. . . . . . . . . 274,404 274,153 275,700 274,888 8,087 6,988 7,557 6,877 2.9 2.5 2.7 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,596 118,078 120,369 117,798 5,213 4,286 4,936 4,135 4.3 3.6 4.1 3.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,994 40,057 40,391 39,509 1,678 1,479 1,603 1,494 4.1 3.7 4.0 3.8

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,719 64,659 64,763 64,502 2,191 1,853 1,966 1,814 3.4 2.9 3.0 2.8

Little Rock-North Little Rock-Conway. . . . 359,772 356,915 358,361 355,914 12,131 10,851 11,537 10,839 3.4 3.0 3.2 3.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,457 34,522 35,572 34,489 1,846 1,627 1,680 1,615 5.2 4.7 4.7 4.7

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,376,487 19,368,395 19,462,033 19,552,490 959,037 826,550 841,531 768,865 4.9 4.3 4.3 3.9

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 388,255 385,975 389,308 388,224 33,385 27,968 29,056 25,660 8.6 7.2 7.5 6.6

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,231 103,121 104,353 105,689 5,959 4,762 4,961 4,320 5.8 4.6 4.8 4.1

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,218 73,941 74,003 74,459 16,342 15,104 14,957 14,388 22.0 20.4 20.2 19.3

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451,731 451,589 452,568 455,430 34,686 29,310 30,572 26,816 7.7 6.5 6.8 5.9

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 58,349 57,458 57,805 57,546 4,466 3,796 3,920 3,475 7.7 6.6 6.8 6.0

Los Angeles-Long Beach-Anaheim. . . . . 6,757,630 6,745,932 6,804,412 6,796,085 324,482 311,830 290,348 293,383 4.8 4.6 4.3 4.3

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,396 61,251 62,410 62,166 4,479 3,766 3,811 3,372 7.3 6.1 6.1 5.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,155 117,196 119,164 120,223 9,494 8,101 8,004 7,151 8.2 6.9 6.7 5.9

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247,382 244,961 244,722 246,045 17,024 14,310 14,649 12,924 6.9 5.8 6.0 5.3

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,909 73,915 75,875 75,085 2,644 2,039 2,285 1,914 3.5 2.8 3.0 2.5

Oxnard-Thousand Oaks-Ventura. . . . . . . 423,454 421,802 426,819 426,417 20,394 16,505 18,308 15,581 4.8 3.9 4.3 3.7

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,687 74,851 74,745 75,741 4,149 3,479 3,637 3,246 5.6 4.6 4.9 4.3

Riverside-San Bernardino-Ontario. . . . . . 2,020,970 2,037,103 2,034,805 2,057,249 112,544 90,817 98,697 84,276 5.6 4.5 4.9 4.1

Sacramento--Roseville--Arden-Arcade. . . 1,088,671 1,083,462 1,089,470 1,088,688 50,763 40,547 44,109 37,457 4.7 3.7 4.0 3.4

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,608 228,480 227,600 230,529 11,769 9,751 10,044 8,924 5.1 4.3 4.4 3.9

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,588,585 1,584,465 1,591,530 1,601,806 68,291 54,315 59,208 50,478 4.3 3.4 3.7 3.2

San Francisco-Oakland-Hayward. . . . . . . 2,583,154 2,580,195 2,591,894 2,614,051 92,821 71,869 79,111 66,465 3.6 2.8 3.1 2.5

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,077,690 1,088,627 1,076,774 1,098,405 37,479 29,074 32,345 27,070 3.5 2.7 3.0 2.5

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 138,914 138,368 142,279 142,353 5,494 4,204 4,664 3,892 4.0 3.0 3.3 2.7

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 144,915 145,045 143,406 145,131 6,892 5,637 5,862 5,048 4.8 3.9 4.1 3.5

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,573 215,381 218,556 217,334 9,300 7,690 8,139 7,112 4.3 3.6 3.7 3.3

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 264,707 265,854 267,197 271,176 9,189 7,164 7,724 6,569 3.5 2.7 2.9 2.4

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 327,057 327,562 327,730 332,441 21,723 18,037 19,162 16,744 6.6 5.5 5.8 5.0

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 210,090 207,555 210,823 211,625 10,260 8,023 8,858 7,455 4.9 3.9 4.2 3.5

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 205,251 207,699 204,865 207,976 20,432 17,988 18,113 16,438 10.0 8.7 8.8 7.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,484 75,127 75,151 74,578 5,273 4,369 4,564 4,068 6.9 5.8 6.1 5.5

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,018,153 3,100,958 3,035,955 3,113,894 83,673 105,974 82,092 95,998 2.8 3.4 2.7 3.1

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,198 191,643 190,292 193,577 4,542 6,005 4,429 5,367 2.4 3.1 2.3 2.8

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 341,375 356,116 344,965 358,216 10,991 14,446 10,879 13,064 3.2 4.1 3.2 3.6

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,606,170 1,648,081 1,614,214 1,643,726 43,415 54,612 42,899 49,696 2.7 3.3 2.7 3.0

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 197,196 203,190 199,979 205,311 4,670 6,089 4,566 5,446 2.4 3.0 2.3 2.7

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 74,442 75,486 75,625 76,282 2,766 3,017 2,627 2,729 3.7 4.0 3.5 3.6

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,212 164,305 160,498 166,549 4,130 5,182 3,979 4,641 2.6 3.2 2.5 2.8

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,992 74,498 75,355 75,217 3,320 3,792 3,152 3,503 4.5 5.1 4.2 4.7

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,920,059 1,905,341 1,903,588 1,904,836 89,647 76,961 80,486 73,287 4.7 4.0 4.2 3.8

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 472,780 468,682 465,839 466,294 21,783 18,696 19,787 18,040 4.6 4.0 4.2 3.9

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,555 108,285 106,889 107,562 4,146 3,632 3,632 3,404 3.8 3.4 3.4 3.2

Hartford-West Hartford-East Hartford. . . . 624,740 621,677 623,441 625,073 29,819 25,569 26,511 24,175 4.8 4.1 4.3 3.9

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 328,463 324,561 327,334 325,367 15,416 13,139 13,903 12,535 4.7 4.0 4.2 3.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 146,934 146,144 143,883 144,833 6,412 5,448 5,914 5,189 4.4 3.7 4.1 3.6

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,291 110,609 111,101 110,303 6,460 5,670 5,694 5,325 5.8 5.1 5.1 4.8

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480,786 488,882 474,481 481,892 22,830 20,810 21,221 19,795 4.7 4.3 4.5 4.1

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,803 79,216 77,121 78,770 4,243 3,859 3,732 3,516 5.5 4.9 4.8 4.5

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 200,033 196,224 191,533 189,058 9,033 8,649 8,658 8,423 4.5 4.4 4.5 4.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . 400,601 401,298 399,944 399,996 25,560 24,564 25,089 23,832 6.4 6.1 6.3 6.0

Washington-Arlington-Alexandria. . . . . . . 3,392,976 3,406,778 3,396,035 3,395,276 130,626 118,294 123,220 111,312 3.8 3.5 3.6 3.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,105,593 10,190,015 10,202,985 10,263,364 439,388 382,965 411,122 311,027 4.3 3.8 4.0 3.0

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 333,807 334,369 328,669 338,706 13,833 12,262 13,464 9,835 4.1 3.7 4.1 2.9

Crestview-Fort Walton Beach-Destin. . . . 127,988 131,954 128,497 130,654 4,393 3,825 4,059 3,074 3.4 2.9 3.2 2.4

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298,367 302,642 301,788 301,483 13,481 11,673 12,441 9,452 4.5 3.9 4.1 3.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 140,050 141,487 146,689 146,839 5,447 4,807 5,152 3,903 3.9 3.4 3.5 2.7

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,145 48,062 48,524 48,624 2,846 2,606 2,616 2,083 5.9 5.4 5.4 4.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 768,587 782,243 779,374 787,532 32,042 27,573 28,821 21,849 4.2 3.5 3.7 2.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 293,900 298,072 297,649 300,938 14,417 12,810 13,394 10,318 4.9 4.3 4.5 3.4

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,129,204 3,118,765 3,149,447 3,136,835 142,970 120,634 134,972 100,990 4.6 3.9 4.3 3.2

Naples-Immokalee-Marco Island. . . . . . . . 169,344 167,577 163,836 168,706 7,904 7,051 7,564 5,517 4.7 4.2 4.6 3.3

North Port-Sarasota-Bradenton. . . . . . . . . 359,869 364,575 362,400 368,713 14,649 13,025 13,558 10,478 4.1 3.6 3.7 2.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,670 135,421 135,340 136,261 6,810 6,095 6,297 4,853 5.1 4.5 4.7 3.6

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,308,075 1,348,125 1,329,031 1,361,525 51,224 45,662 47,741 36,569 3.9 3.4 3.6 2.7

Palm Bay-Melbourne-Titusville. . . . . . . . . 270,875 272,242 271,905 274,198 11,823 10,050 10,974 8,079 4.4 3.7 4.0 2.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 96,990 98,121 97,418 97,433 3,898 3,303 3,527 2,627 4.0 3.4 3.6 2.7

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 224,442 226,435 229,745 227,630 9,232 8,077 8,476 6,517 4.1 3.6 3.7 2.9

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 210,865 211,770 211,535 212,990 10,516 9,357 9,848 7,460 5.0 4.4 4.7 3.5

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 69,768 70,340 69,607 70,608 3,410 3,048 3,206 2,461 4.9 4.3 4.6 3.5

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 63,018 63,290 63,208 63,314 3,450 3,081 3,196 2,443 5.5 4.9 5.1 3.9

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,995 35,167 35,827 36,038 2,164 1,894 2,039 1,503 6.0 5.4 5.7 4.2

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 187,965 190,269 196,281 194,302 7,867 6,996 7,294 5,664 4.2 3.7 3.7 2.9

Tampa-St. Petersburg-Clearwater. . . . . . 1,513,659 1,535,621 1,535,406 1,543,915 61,553 55,435 57,207 44,470 4.1 3.6 3.7 2.9

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 30,497 30,596 30,692 30,842 1,926 1,676 1,697 1,314 6.3 5.5 5.5 4.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,060,417 5,123,370 5,099,501 5,118,621 248,105 192,371 227,050 166,285 4.9 3.8 4.5 3.2

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,629 67,891 68,180 68,094 3,935 3,171 3,603 2,727 5.8 4.7 5.3 4.0

Athens-Clarke County. . . . . . . . . . . . . . . . . 100,737 103,255 102,356 104,109 4,692 3,575 4,299 3,136 4.7 3.5 4.2 3.0

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,038,498 3,082,703 3,064,470 3,081,028 143,397 110,812 129,956 95,800 4.7 3.6 4.2 3.1

Augusta-Richmond County. . . . . . . . . . . . . 265,932 268,085 266,940 268,161 13,995 11,452 12,469 9,710 5.3 4.3 4.7 3.6

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,597 53,802 53,019 53,844 2,644 1,969 3,341 1,676 4.9 3.7 6.3 3.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,078 125,728 125,069 125,500 7,090 5,755 6,334 4,994 5.7 4.6 5.1 4.0

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,889 61,577 61,543 61,556 3,362 2,577 3,314 2,473 5.5 4.2 5.4 4.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 100,441 103,816 101,344 103,592 4,121 3,064 3,731 2,691 4.1 3.0 3.7 2.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,770 33,972 33,786 33,826 1,767 1,373 1,657 1,163 5.2 4.0 4.9 3.4

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,593 105,625 106,026 105,140 5,700 4,300 5,265 3,696 5.4 4.1 5.0 3.5

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,203 44,543 44,653 44,218 2,372 1,865 2,144 1,604 5.4 4.2 4.8 3.6

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,191 185,134 184,998 184,622 8,504 6,640 7,731 5,751 4.6 3.6 4.2 3.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,318 65,727 64,693 65,172 3,191 2,558 2,937 2,208 5.0 3.9 4.5 3.4

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 85,132 85,273 85,529 84,972 4,277 3,307 3,930 2,898 5.0 3.9 4.6 3.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682,136 684,111 679,436 680,982 14,814 14,930 15,297 16,883 2.2 2.2 2.3 2.5

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 87,384 87,840 85,406 86,089 1,964 1,829 2,012 2,120 2.2 2.1 2.4 2.5

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 466,330 468,035 467,674 467,621 9,845 9,746 10,189 11,001 2.1 2.1 2.2 2.4

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 839,691 854,684 839,287 852,550 24,036 19,685 22,497 18,115 2.9 2.3 2.7 2.1

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 348,211 356,910 347,148 355,147 10,098 8,192 9,419 7,561 2.9 2.3 2.7 2.1

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 77,050 78,393 75,666 77,472 2,539 2,045 2,407 1,923 3.3 2.6 3.2 2.5

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 68,373 69,215 67,682 68,635 1,674 1,359 1,637 1,274 2.4 2.0 2.4 1.9

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,479 31,646 31,478 31,972 924 818 916 823 2.9 2.6 2.9 2.6

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,739 41,543 41,233 41,860 1,133 943 1,072 865 2.8 2.3 2.6 2.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,504,014 6,458,387 6,496,827 6,463,340 344,193 268,814 299,985 245,991 5.3 4.2 4.6 3.8

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 95,060 95,456 96,433 97,968 4,012 3,916 3,459 3,522 4.2 4.1 3.6 3.6

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 58,704 58,348 59,754 60,336 2,959 2,884 2,600 2,557 5.0 4.9 4.4 4.2

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 114,320 116,340 121,185 124,209 5,142 5,187 4,443 4,660 4.5 4.5 3.7 3.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,933,346 4,882,816 4,921,065 4,847,187 265,755 193,688 230,308 177,478 5.4 4.0 4.7 3.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,948 33,844 34,004 34,485 2,306 2,006 1,968 1,747 6.8 5.9 5.8 5.1

Davenport-Moline-Rock Island1. . . . . . . . . 190,939 192,729 189,440 193,161 8,242 7,451 7,783 7,191 4.3 3.9 4.1 3.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,320 49,668 49,297 50,253 2,895 2,740 2,478 2,386 5.9 5.5 5.0 4.7

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,790 58,431 55,880 59,381 2,858 2,774 2,532 2,493 5.1 4.7 4.5 4.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,528 177,635 175,926 178,486 9,514 8,765 8,326 7,826 5.4 4.9 4.7 4.4

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,391 166,237 163,699 167,454 9,222 8,761 8,157 7,658 5.6 5.3 5.0 4.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,188 112,376 109,556 110,915 4,786 4,698 4,278 4,126 4.3 4.2 3.9 3.7

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,332,392 3,409,790 3,326,645 3,384,737 131,017 127,377 109,414 102,351 3.9 3.7 3.3 3.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 75,092 75,021 77,343 76,918 3,365 3,344 2,564 2,461 4.5 4.5 3.3 3.2

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,499 46,334 44,445 46,006 1,383 1,305 1,107 994 3.1 2.8 2.5 2.2

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 112,937 119,299 112,532 117,439 3,245 3,501 2,533 2,771 2.9 2.9 2.3 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,135 165,147 162,602 164,119 5,970 5,804 4,991 4,786 3.7 3.5 3.1 2.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 212,461 220,231 212,799 218,716 7,755 7,532 6,609 5,833 3.7 3.4 3.1 2.7

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,050,100 1,080,386 1,044,339 1,066,673 39,046 37,858 32,878 30,736 3.7 3.5 3.1 2.9

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,950 40,177 38,135 40,082 1,558 1,468 1,279 1,197 4.1 3.7 3.4 3.0

Lafayette-West Lafayette. . . . . . . . . . . . . . 110,550 111,819 110,200 114,652 4,136 3,977 3,202 2,927 3.7 3.6 2.9 2.6

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,716 47,513 47,378 47,398 2,200 2,116 1,852 1,783 4.6 4.5 3.9 3.8

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,321 55,218 55,333 55,720 2,648 2,384 2,161 1,855 4.8 4.3 3.9 3.3

South Bend-Mishawaka. . . . . . . . . . . . . . . 155,113 156,880 159,280 160,050 6,491 6,294 5,471 5,196 4.2 4.0 3.4 3.2

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 75,824 77,565 76,509 76,850 3,564 3,758 3,002 3,106 4.7 4.8 3.9 4.0

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,679,665 1,681,524 1,677,793 1,683,554 52,490 40,271 46,234 35,892 3.1 2.4 2.8 2.1

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,564 56,665 59,039 59,644 1,309 934 1,107 851 2.4 1.6 1.9 1.4

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 142,483 142,566 142,013 142,496 4,861 3,755 4,378 3,408 3.4 2.6 3.1 2.4

Des Moines-West Des Moines. . . . . . . . . 348,785 358,603 345,131 353,325 10,109 8,016 9,150 7,323 2.9 2.2 2.7 2.1

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,975 53,897 54,274 53,928 1,596 1,187 1,369 1,049 3.0 2.2 2.5 1.9

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,680 97,602 97,959 98,596 2,719 1,923 2,312 1,727 2.8 2.0 2.4 1.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,045 90,065 90,256 90,501 2,852 2,151 2,495 1,936 3.2 2.4 2.8 2.1

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 87,123 86,761 88,490 87,450 3,127 2,294 2,700 1,985 3.6 2.6 3.1 2.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,477,378 1,477,034 1,476,680 1,483,368 59,507 51,230 48,648 43,628 4.0 3.5 3.3 2.9

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,776 65,111 65,838 66,051 2,278 2,051 1,876 1,732 3.6 3.2 2.8 2.6

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 44,536 47,254 47,967 48,358 1,534 1,385 1,290 1,149 3.4 2.9 2.7 2.4

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,566 119,250 118,661 118,007 4,738 4,227 3,863 3,601 3.9 3.5 3.3 3.1

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,996 307,734 304,857 307,346 14,293 11,726 11,825 10,234 4.6 3.8 3.9 3.3

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,047,213 2,058,681 2,056,757 2,070,045 98,105 84,493 88,035 88,048 4.8 4.1 4.3 4.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 81,165 83,507 83,070 83,946 3,587 3,062 3,499 2,931 4.4 3.7 4.2 3.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 66,904 67,628 66,495 67,542 3,050 2,673 2,780 2,902 4.6 4.0 4.2 4.3

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 269,021 272,041 270,372 272,958 10,119 9,032 9,017 8,933 3.8 3.3 3.3 3.3

Louisville/Jefferson County. . . . . . . . . . . . . 664,469 670,650 664,758 671,988 28,144 25,446 24,483 27,894 4.2 3.8 3.7 4.2

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,851 56,235 55,840 56,575 2,479 2,155 2,191 2,127 4.4 3.8 3.9 3.8

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,118,448 2,116,152 2,120,750 2,098,287 118,483 117,218 105,383 105,069 5.6 5.5 5.0 5.0

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,929 64,319 64,939 63,610 4,050 3,911 3,543 3,469 6.2 6.1 5.5 5.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 420,920 423,582 422,442 420,752 20,757 21,232 18,288 18,929 4.9 5.0 4.3 4.5

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,545 55,791 55,663 55,474 3,466 3,411 3,032 3,030 6.2 6.1 5.4 5.5

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 89,279 88,244 89,128 87,235 5,071 4,789 4,594 4,411 5.7 5.4 5.2 5.1

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 214,533 212,664 213,673 209,964 12,558 11,672 11,147 10,581 5.9 5.5 5.2 5.0

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 115,055 115,999 114,995 115,287 4,820 4,863 4,537 4,419 4.2 4.2 3.9 3.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,848 79,898 80,103 79,235 4,529 4,687 4,114 4,283 5.7 5.9 5.1 5.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . 597,884 599,319 598,673 594,282 32,218 31,943 28,479 28,612 5.4 5.3 4.8 4.8

Shreveport-Bossier City. . . . . . . . . . . . . . . 189,149 187,688 189,049 185,321 11,324 11,123 9,974 9,864 6.0 5.9 5.3 5.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 718,153 722,720 702,255 702,678 20,058 20,740 19,418 21,005 2.8 2.9 2.8 3.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,289 70,180 71,099 70,314 2,152 2,179 2,043 2,189 3.1 3.1 2.9 3.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,065 56,308 55,820 55,915 1,599 1,705 1,526 1,711 2.9 3.0 2.7 3.1

Portland-South Portland. . . . . . . . . . . . . . . 214,051 217,755 210,004 212,161 4,942 5,282 4,828 5,342 2.3 2.4 2.3 2.5

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,238,148 3,237,650 3,229,574 3,210,020 136,940 134,934 124,509 124,534 4.2 4.2 3.9 3.9

Baltimore-Columbia-Towson. . . . . . . . . . . 1,512,546 1,514,411 1,506,404 1,498,571 67,464 66,109 60,103 59,409 4.5 4.4 4.0 4.0

California-Lexington Park. . . . . . . . . . . . . . 55,392 55,338 55,245 54,607 2,402 2,414 2,014 2,031 4.3 4.4 3.6 3.7

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 43,966 43,976 44,685 44,003 2,443 2,526 2,154 2,217 5.6 5.7 4.8 5.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,632 131,903 130,515 131,642 5,803 5,453 5,110 5,256 4.4 4.1 3.9 4.0

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,693,503 3,866,768 3,639,953 3,814,947 134,706 136,825 126,627 120,334 3.6 3.5 3.5 3.2

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 139,278 143,706 126,734 132,363 4,579 4,554 4,378 4,127 3.3 3.2 3.5 3.1

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,712,518 2,844,757 2,681,308 2,810,737 92,115 93,547 86,831 82,161 3.4 3.3 3.2 2.9

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 78,212 81,488 77,765 80,977 3,360 3,403 3,042 2,881 4.3 4.2 3.9 3.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,137 88,104 83,826 87,401 4,479 4,539 4,314 4,008 5.3 5.2 5.1 4.6

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,902 45,667 43,018 44,259 1,760 1,715 1,719 1,586 3.9 3.8 4.0 3.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 367,668 380,803 366,735 379,622 16,770 16,777 15,265 14,681 4.6 4.4 4.2 3.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 351,506 366,584 350,037 366,957 13,925 14,042 12,883 12,420 4.0 3.8 3.7 3.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,924,856 4,875,350 4,914,046 4,884,730 251,002 185,535 221,097 169,217 5.1 3.8 4.5 3.5

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 192,543 192,912 195,564 195,053 8,230 5,818 7,666 5,533 4.3 3.0 3.9 2.8

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 64,084 62,905 63,017 62,483 3,540 2,381 3,056 2,233 5.5 3.8 4.8 3.6

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,119 50,391 50,832 50,025 3,067 2,026 2,474 1,835 6.0 4.0 4.9 3.7

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,140,596 2,114,224 2,140,148 2,126,435 108,502 88,804 98,430 79,175 5.1 4.2 4.6 3.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,871 181,016 182,317 179,453 11,331 7,850 9,893 7,270 6.1 4.3 5.4 4.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 573,418 575,960 570,129 576,303 23,383 15,729 20,030 15,049 4.1 2.7 3.5 2.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,389 73,098 74,088 72,911 3,860 2,603 3,291 2,444 5.2 3.6 4.4 3.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,482 166,383 167,774 166,084 8,372 5,533 7,181 5,271 5.0 3.3 4.3 3.2

Lansing-East Lansing. . . . . . . . . . . . . . . . . 243,869 243,223 249,042 248,616 12,071 7,640 10,344 7,292 4.9 3.1 4.2 2.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,795 40,199 40,219 39,844 2,037 1,378 1,739 1,293 5.0 3.4 4.3 3.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,139 76,335 77,123 76,043 4,332 3,459 4,218 2,702 5.7 4.5 5.5 3.6

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 79,371 78,069 77,948 76,871 4,813 3,166 4,045 2,970 6.1 4.1 5.2 3.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 74,994 73,591 73,657 73,009 3,966 2,786 3,326 2,598 5.3 3.8 4.5 3.6

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,828 86,531 87,431 86,978 5,210 3,624 4,445 3,395 5.9 4.2 5.1 3.9

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,083,928 3,086,829 3,071,191 3,072,947 104,234 78,085 87,539 68,323 3.4 2.5 2.9 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

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143,810 143,272 144,968 143,224 6,437 4,675 5,152 3,904 4.5 3.3 3.6 2.7

Mankato-North Mankato. . . . . . . . . . . . . . . 59,474 60,893 61,133 62,325 1,662 1,280 1,430 1,219 2.8 2.1 2.3 2.0

Minneapolis-St. Paul-Bloomington. . . . . . 2,017,087 2,022,398 2,009,183 2,005,655 65,761 49,854 56,297 44,151 3.3 2.5 2.8 2.2

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,571 121,576 121,291 120,760 3,395 2,627 2,882 2,308 2.7 2.2 2.4 1.9

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,486 111,692 111,472 111,858 3,544 2,770 3,028 2,453 3.2 2.5 2.7 2.2

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,269,033 1,281,201 1,276,196 1,280,522 63,102 60,750 59,527 58,104 5.0 4.7 4.7 4.5

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 164,028 164,943 163,118 162,834 8,182 8,048 7,964 7,806 5.0 4.9 4.9 4.8

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 67,520 68,246 68,185 68,920 2,975 2,896 2,788 2,735 4.4 4.2 4.1 4.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269,038 273,890 270,314 271,700 11,571 11,143 11,106 10,863 4.3 4.1 4.1 4.0

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,049,843 3,040,796 3,052,192 3,056,519 129,606 104,810 99,677 80,773 4.2 3.4 3.3 2.6

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,466 47,890 47,801 48,395 1,921 1,542 1,569 1,219 4.0 3.2 3.3 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,956 95,789 98,483 98,789 2,905 2,503 2,314 1,898 3.0 2.6 2.3 1.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 74,641 73,768 74,231 73,957 2,869 2,226 2,079 1,610 3.8 3.0 2.8 2.2

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,252 83,032 84,342 84,313 3,262 2,725 2,592 2,030 3.9 3.3 3.1 2.4

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,139,926 1,144,217 1,129,613 1,141,535 50,113 40,304 37,014 32,197 4.4 3.5 3.3 2.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,862 65,224 64,767 65,224 2,440 2,004 1,931 1,527 3.8 3.1 3.0 2.3

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,464,670 1,465,692 1,459,184 1,468,112 60,528 52,849 49,769 42,735 4.1 3.6 3.4 2.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 226,934 226,978 230,575 231,181 8,276 6,845 6,650 5,385 3.6 3.0 2.9 2.3

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532,953 530,329 525,710 522,678 19,171 16,800 18,235 16,487 3.6 3.2 3.5 3.2

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,000 86,970 87,345 86,318 3,005 2,603 2,830 2,600 3.4 3.0 3.2 3.0

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,523 37,287 37,944 37,501 1,340 1,230 1,321 1,246 3.6 3.3 3.5 3.3

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,856 61,503 62,777 62,121 2,029 1,699 1,935 1,727 3.3 2.8 3.1 2.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,010,044 1,018,279 1,000,098 1,012,378 29,345 27,800 27,212 25,826 2.9 2.7 2.7 2.6

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,384 43,519 43,388 43,956 1,248 1,226 1,142 1,141 2.9 2.8 2.6 2.6

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,727 182,094 177,875 181,267 4,815 4,701 4,523 4,361 2.7 2.6 2.5 2.4

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 480,003 490,745 476,787 486,777 14,580 13,499 13,455 12,596 3.0 2.8 2.8 2.6

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,467,506 1,512,046 1,473,917 1,519,413 72,887 70,385 72,059 66,986 5.0 4.7 4.9 4.4

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,761 26,394 25,785 26,359 1,160 1,147 1,169 1,097 4.5 4.3 4.5 4.2

Las Vegas-Henderson-Paradise. . . . . . . . 1,075,167 1,110,829 1,079,780 1,114,300 56,448 54,380 55,862 52,149 5.3 4.9 5.2 4.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242,845 250,682 245,136 252,958 9,621 9,354 9,457 8,621 4.0 3.7 3.9 3.4

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 754,645 771,267 743,350 758,415 19,652 20,287 18,490 17,457 2.6 2.6 2.5 2.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 83,928 86,651 83,905 85,955 1,983 2,096 1,902 1,805 2.4 2.4 2.3 2.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,420 118,773 115,748 118,129 3,077 3,011 2,890 2,685 2.6 2.5 2.5 2.3

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 78,094 79,983 76,297 78,127 1,782 1,827 1,756 1,676 2.3 2.3 2.3 2.1

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,545,577 4,526,294 4,505,265 4,460,097 226,022 199,646 210,108 182,602 5.0 4.4 4.7 4.1

Atlantic City-Hammonton. . . . . . . . . . . . . . 123,098 126,833 121,591 125,791 8,677 6,887 8,035 6,400 7.0 5.4 6.6 5.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 57,049 55,583 49,997 50,269 3,048 2,568 2,974 2,481 5.3 4.6 5.9 4.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,976 202,683 198,396 199,613 9,147 8,120 8,304 7,261 4.6 4.0 4.2 3.6

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 65,171 64,780 66,292 65,074 4,862 4,262 4,414 3,909 7.5 6.6 6.7 6.0

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 927,597 936,540 930,215 942,680 58,085 45,020 55,508 43,437 6.3 4.8 6.0 4.6

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 423,798 431,142 426,549 435,120 25,299 20,023 24,342 19,338 6.0 4.6 5.7 4.4

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 51,682 52,028 53,192 53,430 3,730 2,784 3,496 2,651 7.2 5.4 6.6 5.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 93,567 91,392 93,241 93,279 6,293 4,927 6,023 4,851 6.7 5.4 6.5 5.2

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,653 75,054 73,038 73,925 3,876 3,030 3,764 2,895 5.3 4.0 5.2 3.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,767,149 9,755,035 9,743,446 9,741,673 481,791 401,572 446,739 366,697 4.9 4.1 4.6 3.8

Albany-Schenectady-Troy. . . . . . . . . . . . . . 453,601 449,373 453,697 453,269 19,689 16,606 19,300 15,399 4.3 3.7 4.3 3.4

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,882 106,932 108,884 108,095 5,677 4,876 5,576 4,370 5.3 4.6 5.1 4.0

Buffalo-Cheektowaga-Niagara Falls. . . . . 555,548 556,234 553,287 556,118 29,811 24,092 27,806 21,174 5.4 4.3 5.0 3.8

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,148 35,183 35,760 35,340 1,946 1,599 1,934 1,476 5.4 4.5 5.4 4.2

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 63,109 63,413 60,660 61,112 2,707 2,205 2,671 2,060 4.3 3.5 4.4 3.4

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,540 49,798 51,224 51,965 2,249 1,840 2,302 1,713 4.6 3.7 4.5 3.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,236 89,996 89,247 90,103 4,197 3,544 3,934 3,090 4.7 3.9 4.4 3.4

New York-Newark-Jersey City. . . . . . . . . . 10,174,407 10,144,623 10,126,576 10,069,995 496,741 424,060 455,826 389,277 4.9 4.2 4.5 3.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 523,109 524,476 525,232 529,618 26,242 21,849 25,327 19,556 5.0 4.2 4.8 3.7

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 308,152 307,839 309,071 309,702 15,420 12,532 15,345 11,434 5.0 4.1 5.0 3.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 131,875 131,243 129,710 129,656 6,569 5,424 6,386 4,988 5.0 4.1 4.9 3.8

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 46,875 46,385 45,544 45,506 2,633 2,126 2,514 1,904 5.6 4.6 5.5 4.2

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,938,611 4,959,841 4,989,623 4,954,803 238,077 194,581 211,307 152,408 4.8 3.9 4.2 3.1

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,378 229,141 232,164 229,762 8,990 7,314 7,977 5,680 3.9 3.2 3.4 2.5

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,405 79,279 80,485 79,301 3,739 3,019 3,226 2,300 4.7 3.8 4.0 2.9

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,316,137 1,330,477 1,329,873 1,331,596 60,157 48,772 54,002 39,193 4.6 3.7 4.1 2.9

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 295,875 299,126 298,524 299,052 12,917 10,474 11,309 8,052 4.4 3.5 3.8 2.7

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 145,942 145,293 148,031 145,482 8,928 7,651 8,062 6,024 6.1 5.3 5.4 4.1

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,720 51,869 53,549 51,897 2,846 2,314 2,518 1,810 5.4 4.5 4.7 3.5

Greensboro-High Point. . . . . . . . . . . . . . . . 367,298 366,951 371,335 368,039 18,951 15,294 16,676 11,756 5.2 4.2 4.5 3.2

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,722 88,901 90,489 89,225 4,828 3,930 4,113 2,954 5.4 4.4 4.5 3.3

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 172,434 173,398 174,671 174,235 7,777 6,262 6,868 4,832 4.5 3.6 3.9 2.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,344 64,082 64,655 62,332 3,432 2,729 3,145 2,415 5.3 4.3 4.9 3.9

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,737 51,840 51,835 50,540 2,591 2,181 2,342 1,720 5.0 4.2 4.5 3.4

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 701,431 713,057 705,010 711,242 30,050 24,492 26,506 18,982 4.3 3.4 3.8 2.7

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 64,297 62,794 65,595 62,720 4,545 3,648 4,068 2,885 7.1 5.8 6.2 4.6

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,496 146,785 147,947 140,875 6,613 5,417 5,778 4,494 4.5 3.7 3.9 3.2

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 322,693 322,367 327,583 325,419 14,994 12,396 13,257 9,560 4.6 3.8 4.0 2.9

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 421,299 408,365 414,703 401,330 9,870 10,329 8,221 9,026 2.3 2.5 2.0 2.2

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,328 68,699 68,454 67,158 1,649 1,798 1,418 1,576 2.3 2.6 2.1 2.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139,105 137,277 137,947 135,299 2,952 3,081 2,646 2,778 2.1 2.2 1.9 2.1

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 55,353 54,244 55,984 54,728 1,611 1,478 1,212 1,205 2.9 2.7 2.2 2.2

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,830,467 5,753,687 5,800,421 5,728,521 297,563 256,699 270,887 233,529 5.1 4.5 4.7 4.1

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361,546 359,415 362,526 359,653 18,478 15,719 16,912 14,524 5.1 4.4 4.7 4.0

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 201,475 197,979 200,401 196,881 10,467 8,996 9,556 8,504 5.2 4.5 4.8 4.3

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,120,907 1,114,639 1,113,959 1,107,204 50,363 43,486 45,036 40,821 4.5 3.9 4.0 3.7

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,038,865 1,041,911 1,037,329 1,040,595 61,189 54,290 53,335 46,090 5.9 5.2 5.1 4.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,091,197 1,076,178 1,080,394 1,069,482 46,093 40,780 41,845 38,002 4.2 3.8 3.9 3.6

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 392,421 386,422 389,125 386,342 19,103 16,394 17,165 15,374 4.9 4.2 4.4 4.0

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,183 48,036 48,649 47,036 2,475 2,040 2,246 1,868 5.0 4.2 4.6 4.0

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,450 52,859 53,109 52,483 2,866 2,346 2,670 2,179 5.4 4.4 5.0 4.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,284 63,213 63,659 62,872 3,148 2,797 2,825 2,576 4.9 4.4 4.4 4.1

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,613 298,685 305,985 299,410 18,368 14,723 16,414 13,440 6.0 4.9 5.4 4.5

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,177 50,213 51,052 50,002 3,342 2,913 3,010 2,639 6.5 5.8 5.9 5.3

Youngstown-Warren-Boardman. . . . . . . . 245,903 239,030 247,403 235,862 15,861 13,493 17,789 12,300 6.5 5.6 7.2 5.2

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,830,593 1,856,395 1,846,157 1,855,633 78,942 64,395 75,274 55,615 4.3 3.5 4.1 3.0

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,718 27,871 27,714 27,539 1,077 877 1,062 752 3.9 3.1 3.8 2.7

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,796 52,082 51,837 51,574 2,376 2,170 2,306 1,825 4.6 4.2 4.4 3.5

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 670,542 685,813 677,643 685,199 26,222 22,076 25,003 19,206 3.9 3.2 3.7 2.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476,200 486,861 479,487 486,119 21,492 17,035 20,489 14,692 4.5 3.5 4.3 3.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,134,652 2,124,482 2,134,310 2,118,955 95,441 84,421 85,082 77,114 4.5 4.0 4.0 3.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,283 58,365 58,123 58,264 3,038 2,691 2,714 2,453 5.2 4.6 4.7 4.2

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 96,343 97,084 95,503 96,909 3,994 3,508 3,663 3,326 4.1 3.6 3.8 3.4

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,735 46,107 47,937 47,078 1,830 1,589 1,618 1,460 3.9 3.4 3.4 3.1

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,109 182,029 183,160 183,604 9,010 8,015 8,020 7,360 5.0 4.4 4.4 4.0

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,952 35,930 36,332 36,054 2,070 1,926 1,813 1,696 5.8 5.4 5.0 4.7

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,321 105,645 106,149 105,514 5,528 4,938 4,660 4,342 5.2 4.7 4.4 4.1

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,321,872 1,317,308 1,323,059 1,315,911 56,185 49,827 50,979 45,789 4.3 3.8 3.9 3.5

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 206,908 204,625 205,685 203,046 9,788 8,664 8,517 7,714 4.7 4.2 4.1 3.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,449,859 6,438,316 6,421,837 6,419,854 341,711 286,093 283,990 249,584 5.3 4.4 4.4 3.9

Allentown-Bethlehem-Easton. . . . . . . . . . . 435,103 437,000 435,476 434,103 23,436 20,537 19,551 18,196 5.4 4.7 4.5 4.2

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,119 60,769 60,194 59,584 3,139 2,627 2,522 2,210 5.1 4.3 4.2 3.7

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,698 42,291 42,959 42,519 2,203 1,878 1,819 1,644 5.2 4.4 4.2 3.9

Chambersburg-Waynesboro. . . . . . . . . . . 77,090 77,847 76,196 76,914 3,672 2,847 2,946 2,598 4.8 3.7 3.9 3.4

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 82,876 82,401 81,615 81,253 5,119 4,504 4,394 3,976 6.2 5.5 5.4 4.9

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,067 128,866 130,995 129,683 7,754 5,770 6,435 5,130 6.0 4.5 4.9 4.0

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,727 56,399 55,542 56,450 2,274 1,865 1,780 1,695 4.1 3.3 3.2 3.0

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 300,520 300,217 296,175 296,580 13,779 11,368 11,456 10,027 4.6 3.8 3.9 3.4

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 59,296 59,521 59,236 58,741 4,003 3,246 3,074 2,589 6.8 5.5 5.2 4.4

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 284,252 285,329 279,976 282,945 12,178 10,012 9,723 8,689 4.3 3.5 3.5 3.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,344 70,961 70,558 70,630 3,283 2,853 2,631 2,436 4.6 4.0 3.7 3.4

Philadelphia-Camden-Wilmington. . . . . . . 3,093,827 3,104,388 3,088,445 3,095,370 162,377 141,391 142,234 125,938 5.2 4.6 4.6 4.1

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,210,564 1,200,101 1,206,030 1,199,083 64,872 52,465 52,987 44,889 5.4 4.4 4.4 3.7

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,771 213,375 211,882 214,307 10,623 9,245 8,944 8,208 5.0 4.3 4.2 3.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . 278,044 281,096 279,103 280,013 16,650 14,783 13,782 12,564 6.0 5.3 4.9 4.5

State College. . . . . . . . . . . . . . . . . . . . . . . . 77,858 77,247 79,305 78,604 3,055 2,534 2,602 2,413 3.9 3.3 3.3 3.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,647 55,842 57,533 56,084 3,206 2,640 2,818 2,411 5.6 4.7 4.9 4.3

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 235,676 236,612 233,995 234,487 11,617 9,564 9,406 8,290 4.9 4.0 4.0 3.5

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 560,123 565,725 555,698 558,952 25,123 21,748 22,433 19,462 4.5 3.8 4.0 3.5

Providence-Warwick. . . . . . . . . . . . . . . . . . 688,504 700,409 683,653 692,899 30,537 27,506 27,427 24,386 4.4 3.9 4.0 3.5

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,330,276 2,314,155 2,317,579 2,296,892 111,007 85,401 98,002 76,436 4.8 3.7 4.2 3.3

Charleston-North Charleston. . . . . . . . . . . 380,677 378,716 378,085 374,336 15,325 11,859 13,765 10,594 4.0 3.1 3.6 2.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,625 399,842 401,664 398,579 19,334 14,239 17,140 12,672 4.8 3.6 4.3 3.2

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,528 94,194 95,385 94,120 5,121 4,002 4,519 3,614 5.4 4.2 4.7 3.8

Greenville-Anderson-Mauldin. . . . . . . . . . . 425,345 421,564 425,634 422,014 18,048 14,118 16,007 12,675 4.2 3.3 3.8 3.0

Hilton Head Island-Bluffton-Beaufort. . . . 88,699 88,561 85,706 85,582 3,833 3,000 3,451 2,592 4.3 3.4 4.0 3.0

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202,022 203,543 196,327 192,932 10,068 8,407 9,275 7,552 5.0 4.1 4.7 3.9

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 158,915 157,152 159,669 157,276 7,370 5,600 6,345 4,826 4.6 3.6 4.0 3.1

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,477 43,628 44,084 43,455 2,678 1,900 2,300 1,701 6.0 4.4 5.2 3.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 459,844 461,853 454,086 456,227 15,202 12,854 13,828 11,773 3.3 2.8 3.0 2.6

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,253 77,853 74,078 74,815 2,499 2,154 2,331 2,036 3.2 2.8 3.1 2.7

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 150,122 152,356 148,662 149,919 4,128 3,537 3,816 3,256 2.7 2.3 2.6 2.2

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,201,982 3,239,844 3,222,941 3,234,420 118,047 123,722 105,030 119,810 3.7 3.8 3.3 3.7

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 266,230 273,456 268,908 273,663 10,596 10,194 9,430 9,425 4.0 3.7 3.5 3.4

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,891 112,858 112,398 113,133 5,242 5,211 4,645 5,032 4.7 4.6 4.1 4.4

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,391 57,991 57,806 57,971 2,189 2,334 1,901 2,222 3.8 4.0 3.3 3.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,036 64,897 64,025 64,633 2,503 2,673 2,228 2,585 3.9 4.1 3.5 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

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 89,647 89,743 90,869 90,323 3,754 3,783 3,297 3,686 4.2 4.2 3.6 4.1

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 137,492 138,791 138,292 138,735 5,600 5,298 5,108 5,060 4.1 3.8 3.7 3.6

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418,195 419,686 422,077 418,846 14,720 15,140 12,972 14,580 3.5 3.6 3.1 3.5

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 627,921 641,128 630,288 638,742 26,558 28,124 24,268 27,447 4.2 4.4 3.9 4.3

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,852 51,716 51,421 51,619 2,058 2,090 1,831 2,027 4.0 4.0 3.6 3.9

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014,341 1,027,539 1,023,563 1,028,650 29,748 31,510 26,294 30,703 2.9 3.1 2.6 3.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,522,840 13,750,098 13,619,456 13,802,300 601,021 539,403 548,848 516,604 4.4 3.9 4.0 3.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,175 75,779 75,972 76,381 2,987 2,624 2,616 2,526 4.0 3.5 3.4 3.3

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,744 132,247 130,910 132,367 4,047 3,745 3,605 3,598 3.1 2.8 2.8 2.7

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,151,425 1,179,861 1,161,052 1,189,588 37,898 35,840 33,831 34,570 3.3 3.0 2.9 2.9

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 172,271 170,903 175,159 170,693 12,150 10,731 14,349 10,064 7.1 6.3 8.2 5.9

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 166,593 165,810 165,654 165,693 12,057 10,192 10,564 9,448 7.2 6.1 6.4 5.7

College Station-Bryan. . . . . . . . . . . . . . . . . 123,463 127,386 131,926 133,788 4,474 4,161 3,860 3,872 3.6 3.3 2.9 2.9

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 206,972 205,395 207,672 205,590 11,994 10,245 12,552 9,877 5.8 5.0 6.0 4.8

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,805,982 3,892,802 3,835,897 3,902,639 146,513 138,640 129,572 132,962 3.8 3.6 3.4 3.4

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 351,998 357,436 357,207 360,448 16,953 15,590 15,288 15,178 4.8 4.4 4.3 4.2

Houston-The Woodlands-Sugar Land. . . 3,321,027 3,392,775 3,338,453 3,408,002 170,033 146,577 161,658 140,718 5.1 4.3 4.8 4.1

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,049 177,524 175,863 177,189 7,523 7,379 6,906 7,127 4.3 4.2 3.9 4.0

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,649 114,342 115,156 114,488 4,896 4,316 4,165 4,162 4.3 3.8 3.6 3.6

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,090 96,045 97,469 96,902 4,954 4,046 4,418 3,909 5.1 4.2 4.5 4.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161,452 164,663 161,882 164,652 5,756 5,203 4,700 4,908 3.6 3.2 2.9 3.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . 337,787 339,717 339,158 341,014 26,375 22,517 23,041 21,134 7.8 6.6 6.8 6.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,340 100,445 94,345 100,730 2,762 2,250 2,455 2,178 3.0 2.2 2.6 2.2

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,693 80,029 80,082 80,291 3,102 2,321 2,730 2,192 3.9 2.9 3.4 2.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,649 54,988 55,004 55,385 2,023 1,811 1,795 1,772 3.7 3.3 3.3 3.2

San Antonio-New Braunfels. . . . . . . . . . . . 1,167,801 1,173,380 1,179,014 1,177,207 42,998 40,514 38,083 38,755 3.7 3.5 3.2 3.3

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 62,196 63,444 62,261 63,382 2,251 2,059 2,007 2,001 3.6 3.2 3.2 3.2

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,097 64,383 64,821 64,814 3,077 3,205 2,758 3,358 4.8 5.0 4.3 5.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,567 108,554 106,876 109,261 4,286 3,973 4,047 3,790 4.1 3.7 3.8 3.5

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,868 44,778 45,946 44,636 2,232 1,784 2,185 1,716 4.9 4.0 4.8 3.8

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,146 125,340 125,408 125,477 5,363 4,583 4,645 4,319 4.3 3.7 3.7 3.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 64,507 64,851 64,725 64,813 2,431 2,229 2,161 2,156 3.8 3.4 3.3 3.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,569,268 1,587,023 1,571,088 1,578,179 53,051 55,290 46,718 47,644 3.4 3.5 3.0 3.0

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,579 67,897 70,115 70,302 1,977 2,058 1,704 1,785 2.9 3.0 2.4 2.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 329,191 330,248 327,540 325,510 11,324 11,826 10,038 10,119 3.4 3.6 3.1 3.1

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 297,996 305,007 301,742 307,087 9,328 9,799 8,255 8,630 3.1 3.2 2.7 2.8

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,823 73,942 71,671 73,440 2,611 2,940 2,256 2,394 3.6 4.0 3.1 3.3

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 658,367 666,238 655,847 658,570 21,695 22,652 19,079 19,607 3.3 3.4 2.9 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348,728 348,446 343,810 342,793 10,244 9,761 9,919 9,564 2.9 2.8 2.9 2.8

Burlington-South Burlington. . . . . . . . . . . . 126,039 125,925 125,457 124,647 3,224 3,112 3,118 3,041 2.6 2.5 2.5 2.4

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,318,478 4,342,516 4,327,531 4,323,527 170,341 132,908 155,426 119,085 3.9 3.1 3.6 2.8

Blacksburg-Christiansburg-Radford. . . . . 90,196 90,120 91,676 91,003 4,022 2,930 3,584 2,616 4.5 3.3 3.9 2.9

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 116,682 120,269 120,990 123,558 4,246 3,461 3,785 2,973 3.6 2.9 3.1 2.4

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 63,620 63,728 66,253 65,973 2,599 1,998 2,364 1,785 4.1 3.1 3.6 2.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,052 124,430 123,157 123,011 5,804 4,375 5,108 3,819 4.7 3.5 4.1 3.1

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 679,463 686,004 680,528 679,908 28,062 22,110 25,824 19,908 4.1 3.2 3.8 2.9

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157,051 156,876 157,647 157,484 6,652 4,827 5,842 4,222 4.2 3.1 3.7 2.7

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 58,525 59,238 59,185 59,448 2,176 1,692 2,038 1,505 3.7 2.9 3.4 2.5

Virginia Beach-Norfolk-Newport News. . . 858,943 859,674 853,478 846,509 37,672 29,044 33,988 26,014 4.4 3.4 4.0 3.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,234 72,896 71,444 72,422 2,495 2,115 2,276 1,871 3.5 2.9 3.2 2.6

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,738,990 3,769,712 3,761,882 3,792,764 178,199 153,661 168,840 148,474 4.8 4.1 4.5 3.9

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 109,957 110,660 109,443 110,125 5,436 4,838 5,163 4,373 4.9 4.4 4.7 4.0

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 120,464 120,014 120,467 120,655 5,829 5,125 5,719 4,926 4.8 4.3 4.7 4.1

Kennewick-Richland. . . . . . . . . . . . . . . . . . 140,388 140,047 140,401 139,939 7,091 6,440 6,577 5,746 5.1 4.6 4.7 4.1

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,749 45,744 45,842 45,959 2,686 2,469 2,554 2,233 5.9 5.4 5.6 4.9

Mount Vernon-Anacortes. . . . . . . . . . . . . . 60,036 59,775 59,690 59,535 3,114 2,785 2,937 2,629 5.2 4.7 4.9 4.4

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 133,301 133,890 135,308 135,505 6,575 5,895 6,313 5,535 4.9 4.4 4.7 4.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,073,452 2,104,959 2,086,860 2,118,360 90,816 74,955 88,504 77,582 4.4 3.6 4.2 3.7

Spokane-Spokane Valley. . . . . . . . . . . . . . 260,370 256,843 262,877 259,744 13,753 12,663 12,823 11,551 5.3 4.9 4.9 4.4

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 31,464 31,007 31,590 31,418 1,416 1,278 1,357 1,185 4.5 4.1 4.3 3.8

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 70,442 70,136 68,207 68,742 3,017 2,755 2,574 2,278 4.3 3.9 3.8 3.3

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,298 133,086 135,208 136,866 8,365 7,200 6,215 5,576 6.4 5.4 4.6 4.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 781,215 777,026 785,351 782,678 41,517 37,896 35,865 34,986 5.3 4.9 4.6 4.5

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,135 45,329 45,844 45,018 2,622 2,319 2,282 2,138 5.7 5.1 5.0 4.7

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 95,827 94,378 95,724 94,450 5,193 4,644 4,541 4,345 5.4 4.9 4.7 4.6

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,600 145,047 148,445 146,243 8,474 7,469 7,379 7,066 5.7 5.1 5.0 4.8

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 65,948 67,438 68,431 69,602 2,878 2,853 2,431 2,675 4.4 4.2 3.6 3.8

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,626 38,175 38,528 38,175 2,203 1,939 1,875 1,745 5.7 5.1 4.9 4.6

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,973 63,725 64,724 63,607 3,598 3,155 3,167 2,839 5.5 5.0 4.9 4.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,176,657 3,174,685 3,166,604 3,147,406 106,386 98,776 92,134 80,389 3.3 3.1 2.9 2.6

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,898 134,702 132,592 132,884 3,927 3,818 3,412 3,072 2.9 2.8 2.6 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

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,954 94,211 93,455 93,031 2,873 2,528 2,495 2,113 3.1 2.7 2.7 2.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,640 58,289 57,959 57,889 1,749 1,689 1,405 1,228 3.0 2.9 2.4 2.1

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 177,395 177,753 176,343 176,269 5,195 5,154 4,686 4,130 2.9 2.9 2.7 2.3

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 86,743 86,018 85,906 84,301 3,174 2,890 2,764 2,398 3.7 3.4 3.2 2.8

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,544 78,717 78,855 78,704 2,239 2,023 2,031 1,613 2.9 2.6 2.6 2.0

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391,151 391,990 391,551 392,315 9,508 9,098 8,966 7,681 2.4 2.3 2.3 2.0

Milwaukee-Waukesha-West Allis. . . . . . . 844,752 839,809 837,844 827,357 32,988 30,405 27,892 24,822 3.9 3.6 3.3 3.0

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 94,774 94,217 94,342 93,633 3,004 2,855 2,571 2,183 3.2 3.0 2.7 2.3

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102,007 100,870 100,560 99,041 4,719 4,028 3,733 3,283 4.6 4.0 3.7 3.3

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 64,439 64,971 63,760 64,101 1,757 1,664 1,623 1,364 2.7 2.6 2.5 2.1

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,547 76,037 74,118 74,795 2,320 2,086 1,967 1,649 3.1 2.7 2.7 2.2

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295,499 286,327 292,678 285,863 10,574 10,452 10,386 10,602 3.6 3.7 3.5 3.7

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,289 38,135 38,992 37,706 1,785 1,630 1,751 1,697 4.5 4.3 4.5 4.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,739 46,858 47,242 45,974 1,616 1,742 1,602 1,706 3.4 3.7 3.4 3.7

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,092,130 1,087,497 1,091,617 1,088,594 127,946 99,385 120,527 93,171 11.7 9.1 11.0 8.6

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 89,269 86,638 87,712 86,500 13,359 10,138 12,302 9,699 15.0 11.7 14.0 11.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,366 51,485 51,919 51,610 6,719 5,488 6,277 5,161 12.8 10.7 12.1 10.0

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,684 20,551 21,183 20,542 4,210 2,741 3,558 2,580 19.4 13.3 16.8 12.6

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,590 26,844 27,449 26,840 4,026 3,021 3,850 2,835 14.6 11.3 14.0 10.6

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93,785 91,664 93,000 91,611 14,313 10,808 13,324 10,258 15.3 11.8 14.3 11.2

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,665 34,238 35,673 34,306 6,080 4,296 5,953 3,964 17.0 12.5 16.7 11.6

San Juan-Carolina-Caguas. . . . . . . . . . . . 726,376 735,710 730,426 737,186 71,306 57,195 67,703 53,308 9.8 7.8 9.3 7.2

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

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

p Preliminary

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

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

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

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

NOT SEASONALLY ADJUSTED

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

division1

State, area, and division

Civilian labor force Unemployed

August September Number Percent of labor force

2017 2018 2017 2018p

August September August September

2017 2018 2017 2018p 2017 2018 2017 2018p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,376,487 19,368,395 19,462,033 19,552,490 959,037 826,550 841,531 768,865 4.9 4.3 4.3 3.9

Los Angeles-Long Beach-Anaheim. . . 6,757,630 6,745,932 6,804,412 6,796,085 324,482 311,830 290,348 293,383 4.8 4.6 4.3 4.3

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,619,737 1,604,449 1,632,752 1,627,668 61,979 49,588 53,348 45,632 3.8 3.1 3.3 2.8

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,137,893 5,141,483 5,171,660 5,168,417 262,503 262,242 237,000 247,751 5.1 5.1 4.6 4.8

San Francisco-Oakland-Hayward. . . . . 2,583,154 2,580,195 2,591,894 2,614,051 92,821 71,869 79,111 66,465 3.6 2.8 3.1 2.5

Oakland-Hayward-Berkeley. . . . . . . . 1,415,528 1,413,023 1,421,076 1,432,149 56,855 44,191 48,612 40,883 4.0 3.1 3.4 2.9

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,025,796 1,024,735 1,028,948 1,037,236 31,529 24,178 26,752 22,348 3.1 2.4 2.6 2.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . 141,830 142,437 141,870 144,666 4,437 3,500 3,747 3,234 3.1 2.5 2.6 2.2

District of Columbia. . . . . . . . . . . . . . . . . . . 400,601 401,298 399,944 399,996 25,560 24,564 25,089 23,832 6.4 6.1 6.3 6.0

Washington-Arlington-Alexandria2. . . . 3,392,976 3,406,778 3,396,035 3,395,276 130,626 118,294 123,220 111,312 3.8 3.5 3.6 3.3

Silver Spring-Frederick-Rockville3.. . 691,402 697,705 692,842 694,620 23,053 22,372 22,298 22,517 3.3 3.2 3.2 3.2

Washington-Arlington-Alexandria2.. . 2,701,574 2,709,073 2,703,193 2,700,656 107,573 95,922 100,922 88,795 4.0 3.5 3.7 3.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,105,593 10,190,015 10,202,985 10,263,364 439,388 382,965 411,122 311,027 4.3 3.8 4.0 3.0

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,129,204 3,118,765 3,149,447 3,136,835 142,970 120,634 134,972 100,990 4.6 3.9 4.3 3.2

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,028,811 1,033,353 1,035,384 1,044,868 41,156 36,478 38,410 29,295 4.0 3.5 3.7 2.8

Miami-Miami Beach-Kendall. . . . . . . 1,377,698 1,362,268 1,387,270 1,363,766 69,890 55,801 67,082 48,994 5.1 4.1 4.8 3.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 722,695 723,144 726,793 728,201 31,924 28,355 29,480 22,701 4.4 3.9 4.1 3.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,504,014 6,458,387 6,496,827 6,463,340 344,193 268,814 299,985 245,991 5.3 4.2 4.6 3.8

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,933,346 4,882,816 4,921,065 4,847,187 265,755 193,688 230,308 177,478 5.4 4.0 4.7 3.7

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,806,199 3,742,524 3,797,676 3,704,103 213,637 143,440 184,964 133,694 5.6 3.8 4.9 3.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 322,064 326,346 321,282 330,749 14,960 14,483 12,932 12,981 4.6 4.4 4.0 3.9

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 338,578 344,588 339,134 341,753 17,425 16,514 15,261 14,023 5.1 4.8 4.5 4.1

Lake County-Kenosha County2. . . . 466,505 469,358 462,973 470,582 19,733 19,251 17,151 16,780 4.2 4.1 3.7 3.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,693,503 3,866,768 3,639,953 3,814,947 134,706 136,825 126,627 120,334 3.6 3.5 3.5 3.2

Boston-Cambridge-Nashua2. . . . . . . . . 2,712,518 2,844,757 2,681,308 2,810,737 92,115 93,547 86,831 82,161 3.4 3.3 3.2 2.9

Boston-Cambridge-Newton. . . . . . . . 1,613,571 1,699,037 1,594,487 1,677,674 52,277 52,803 49,728 46,896 3.2 3.1 3.1 2.8

Brockton-Bridgewater-Easton. . . . . . 107,022 112,151 106,178 111,418 4,657 4,756 4,256 4,020 4.4 4.2 4.0 3.6

Framingham. . . . . . . . . . . . . . . . . . . . . 158,150 163,996 155,996 161,836 5,012 5,013 4,672 4,372 3.2 3.1 3.0 2.7

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 115,884 120,757 114,124 118,323 3,773 3,898 3,483 3,418 3.3 3.2 3.1 2.9

Lawrence-Methuen Town-Salem2.. . 97,640 101,853 96,074 100,448 4,690 4,802 4,452 4,258 4.8 4.7 4.6 4.2

Lowell-Billerica-Chelmsford2. . . . . . . 191,024 200,823 188,437 198,006 7,007 7,102 6,478 6,126 3.7 3.5 3.4 3.1

Lynn-Saugus-Marblehead. . . . . . . . . 84,826 89,164 83,987 88,232 3,047 3,132 2,917 2,854 3.6 3.5 3.5 3.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 168,968 173,945 167,979 173,016 5,123 5,302 4,660 4,419 3.0 3.0 2.8 2.6

Peabody-Salem-Beverly. . . . . . . . . . . 91,418 94,947 90,751 94,263 3,099 3,223 3,035 2,877 3.4 3.4 3.3 3.1

Taunton-Middleborough-Norton. . . . 84,015 88,084 83,295 87,521 3,430 3,516 3,150 2,921 4.1 4.0 3.8 3.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,924,856 4,875,350 4,914,046 4,884,730 251,002 185,535 221,097 169,217 5.1 3.8 4.5 3.5

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,140,596 2,114,224 2,140,148 2,126,435 108,502 88,804 98,430 79,175 5.1 4.2 4.6 3.7

Detroit-Dearborn-Livonia. . . . . . . . . . 801,707 792,793 801,271 795,130 50,286 42,240 46,349 36,050 6.3 5.3 5.8 4.5

Warren-Troy-Farmington Hills. . . . . . 1,338,888 1,321,432 1,338,876 1,331,304 58,216 46,565 52,081 43,125 4.3 3.5 3.9 3.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,767,149 9,755,035 9,743,446 9,741,673 481,791 401,572 446,739 366,697 4.9 4.1 4.6 3.8

New York-Newark-Jersey City2. . . . . . 10,174,407 10,144,623 10,126,576 10,069,995 496,741 424,060 455,826 389,277 4.9 4.2 4.5 3.9

Dutchess County-Putnam County.. . 197,740 197,492 196,341 198,233 8,670 7,262 8,674 6,667 4.4 3.7 4.4 3.4

Nassau County-Suffolk County. . . . . 1,512,090 1,513,983 1,499,055 1,505,628 69,156 57,965 64,841 50,003 4.6 3.8 4.3 3.3

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,249,661 1,236,854 1,239,437 1,220,501 62,465 55,904 58,440 51,652 5.0 4.5 4.7 4.2

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,214,916 7,196,294 7,191,743 7,145,633 356,450 302,929 323,871 280,955 4.9 4.2 4.5 3.9

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,449,859 6,438,316 6,421,837 6,419,854 341,711 286,093 283,990 249,584 5.3 4.4 4.4 3.9

Philadelphia-Camden-Wilmington2. . . . 3,093,827 3,104,388 3,088,445 3,095,370 162,377 141,391 142,234 125,938 5.2 4.6 4.6 4.1

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 641,015 642,388 642,430 637,396 32,957 29,716 30,439 26,767 5.1 4.6 4.7 4.2

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,079,544 1,078,448 1,069,928 1,070,647 46,687 39,450 39,392 34,870 4.3 3.7 3.7 3.3

Philadelphia. . . . . . . . . . . . . . . . . . . . . 996,032 999,181 1,001,022 1,006,132 63,736 54,900 55,108 48,316 6.4 5.5 5.5 4.8

Wilmington3. . . . . . . . . . . . . . . . . . . . . 377,236 384,371 375,065 381,195 18,997 17,325 17,295 15,985 5.0 4.5 4.6 4.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,522,840 13,750,098 13,619,456 13,802,300 601,021 539,403 548,848 516,604 4.4 3.9 4.0 3.7

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,805,982 3,892,802 3,835,897 3,902,639 146,513 138,640 129,572 132,962 3.8 3.6 3.4 3.4

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,568,487 2,635,091 2,588,554 2,640,771 98,229 93,625 87,150 90,049 3.8 3.6 3.4 3.4

Fort Worth-Arlington. . . . . . . . . . . . . . 1,237,495 1,257,711 1,247,343 1,261,868 48,284 45,015 42,422 42,913 3.9 3.6 3.4 3.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,738,990 3,769,712 3,761,882 3,792,764 178,199 153,661 168,840 148,474 4.8 4.1 4.5 3.9

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,073,452 2,104,959 2,086,860 2,118,360 90,816 74,955 88,504 77,582 4.4 3.6 4.2 3.7

Seattle-Bellevue-Everett. . . . . . . . . . . 1,658,270 1,686,327 1,669,438 1,697,661 68,610 54,798 67,548 59,026 4.1 3.2 4.0 3.5

Tacoma-Lakewood. . . . . . . . . . . . . . . 415,182 418,632 417,422 420,699 22,206 20,157 20,956 18,556 5.3 4.8 5.0 4.4

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

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

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

p Preliminary

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

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

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

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

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

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,016.7 2,038.9 2,021.2 2,048.0 26.8 1.3

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 47.5 46.8 47.9 1.1 2.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.2 64.5 65.0 64.8 -0.2 -0.3

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 530.7 537.3 532.1 537.3 5.2 1.0

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 79.9 75.5 78.1 2.6 3.4

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 55.2 54.0 54.7 0.7 1.3

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 58.5 58.2 58.5 0.3 0.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 56.5 56.5 56.8 0.3 0.5

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 37.9 37.8 38.4 0.6 1.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.2 240.8 233.4 241.2 7.8 3.3

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.8 185.2 184.6 186.0 1.4 0.8

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.4 178.7 177.7 180.3 2.6 1.5

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.8 109.2 109.1 109.7 0.6 0.5

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 350.8 348.0 340.2 336.7 -3.5 -1.0

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.4 179.3 179.6 179.0 -0.6 -0.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.4 38.9 38.9 0.0 0.0

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,757.1 2,843.9 2,794.5 2,879.3 84.8 3.0

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 70.4 69.7 72.6 2.9 4.2

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 51.9 50.1 51.6 1.5 3.0

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,025.6 2,101.6 2,049.2 2,127.4 78.2 3.8

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 65.3 64.4 65.7 1.3 2.0

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 32.9 33.3 33.3 0.0 0.0

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370.1 379.9 379.9 389.2 9.3 2.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.7 53.7 54.0 0.3 0.6

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,230.9 1,240.0 1,248.3 1,259.0 10.7 0.9

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.2 257.4 256.1 262.0 5.9 2.3

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.7 111.9 113.1 113.0 -0.1 -0.1

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.0 38.0 38.1 0.1 0.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 58.6 58.2 59.5 1.3 2.2

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.9 363.6 360.7 367.7 7.0 1.9

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.4 32.3 33.1 32.8 -0.3 -0.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,794.0 17,128.5 16,857.9 17,189.3 331.4 2.0

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.0 262.3 258.8 262.6 3.8 1.5

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 83.8 82.9 85.2 2.3 2.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 53.2 52.2 52.8 0.6 1.1

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344.0 353.3 347.4 356.4 9.0 2.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.5 40.6 40.2 40.4 0.2 0.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,027.9 6,105.4 6,072.1 6,133.7 61.6 1.0

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 39.0 38.5 39.2 0.7 1.8

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 69.9 69.4 71.6 2.2 3.2

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.5 180.7 176.5 180.4 3.9 2.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 73.4 74.2 74.1 -0.1 -0.1

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.0 308.2 304.9 307.9 3.0 1.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 68.4 66.5 68.5 2.0 3.0

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,443.6 1,495.0 1,452.6 1,494.3 41.7 2.9

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973.3 988.8 973.1 984.1 11.0 1.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.9 143.4 141.2 145.4 4.2 3.0

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,453.1 1,478.8 1,452.6 1,479.5 26.9 1.9

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,397.7 2,442.6 2,399.6 2,448.7 49.1 2.0

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103.4 1,138.2 1,099.2 1,135.7 36.5 3.3

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 113.2 115.3 116.0 117.8 1.8 1.6

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.0 104.1 100.4 103.3 2.9 2.9

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.4 182.7 181.8 183.0 1.2 0.7

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 207.2 212.0 208.5 213.8 5.3 2.5

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.0 244.2 237.3 245.4 8.1 3.4

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.9 139.5 139.0 141.4 2.4 1.7

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.7 129.0 126.5 129.2 2.7 2.1

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.1 44.7 44.5 -0.2 -0.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,676.8 2,752.9 2,677.5 2,754.8 77.3 2.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.1 192.3 191.2 194.5 3.3 1.7

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.3 301.0 289.5 303.0 13.5 4.7

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,473.1 1,516.1 1,470.9 1,509.9 39.0 2.7

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167.0 172.4 168.8 173.7 4.9 2.9

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 64.5 64.0 64.9 0.9 1.4

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 109.8 106.1 110.6 4.5 4.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.1 62.6 62.6 0.0 0.0

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,672.5 1,696.5 1,681.9 1,702.2 20.3 1.2

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407.5 411.1 407.0 410.4 3.4 0.8

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.5 78.7 78.2 78.9 0.7 0.9

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563.4 573.9 575.1 583.2 8.1 1.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.8 282.8 285.0 286.0 1.0 0.4

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.8 134.1 130.6 133.4 2.8 2.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 66.5 67.0 66.9 -0.1 -0.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457.6 465.7 457.5 464.4 6.9 1.5

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 69.9 69.4 70.9 1.5 2.2

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.8 168.4 164.4 162.9 -1.5 -0.9

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 780.6 789.9 792.7 799.8 7.1 0.9

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,266.3 3,334.0 3,275.4 3,342.3 66.9 2.0

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,547.1 8,772.5 8,389.9 8,791.0 401.1 4.8

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.4 263.7 248.3 265.7 17.4 7.0

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.4 120.6 112.8 118.4 5.6 5.0

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200.1 204.7 197.0 202.4 5.4 2.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.8 141.5 141.7 146.5 4.8 3.4

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 33.6 32.6 33.9 1.3 4.0

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 692.2 713.0 684.2 714.4 30.2 4.4

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.3 225.8 217.1 227.0 9.9 4.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,620.8 2,664.1 2,564.6 2,672.3 107.7 4.2

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 141.4 132.1 141.2 9.1 6.9

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299.3 306.7 292.7 308.5 15.8 5.4

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.7 104.6 100.3 105.0 4.7 4.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,247.0 1,299.9 1,233.2 1,306.5 73.3 5.9

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.2 219.1 209.9 219.7 9.8 4.7

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 88.2 84.1 86.9 2.8 3.3

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.9 181.8 177.5 181.4 3.9 2.2

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.2 147.4 141.5 148.0 6.5 4.6

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.3 48.2 45.7 48.0 2.3 5.0

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 51.8 49.6 51.7 2.1 4.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.8 25.3 25.0 26.0 1.0 4.0

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.9 179.9 179.2 182.9 3.7 2.1

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,320.2 1,353.3 1,303.6 1,353.4 49.8 3.8

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2 28.3 27.7 28.6 0.9 3.2

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,467.1 4,551.6 4,453.9 4,561.3 107.4 2.4

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.0 62.5 63.4 0.9 1.4

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.8 99.9 97.5 101.0 3.5 3.6

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,737.7 2,789.6 2,731.2 2,791.5 60.3 2.2

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.5 240.0 235.2 241.1 5.9 2.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 44.9 42.6 45.0 2.4 5.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.9 122.9 120.8 122.8 2.0 1.7

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 68.7 67.1 68.3 1.2 1.8

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 94.5 90.2 94.2 4.0 4.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.5 20.8 20.4 20.8 0.4 2.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.2 103.8 102.4 103.6 1.2 1.2

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.7 41.1 41.4 0.3 0.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.7 178.7 176.4 178.8 2.4 1.4

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 57.3 55.5 56.8 1.3 2.3

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 74.7 73.8 74.4 0.6 0.8

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 642.9 658.8 651.8 662.0 10.2 1.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 78.8 75.9 77.5 1.6 2.1

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 466.3 478.1 476.2 484.3 8.1 1.7

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721.1 745.4 727.1 745.2 18.1 2.5

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.7 330.3 321.2 330.2 9.0 2.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 68.0 65.1 67.2 2.1 3.2

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.0 67.6 66.2 67.4 1.2 1.8

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.1 29.6 29.1 30.2 1.1 3.8

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.7 36.9 36.7 37.4 0.7 1.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,083.1 6,139.7 6,103.6 6,159.0 55.4 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.8 92.5 94.7 94.3 -0.4 -0.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 56.0 58.1 57.6 -0.5 -0.9

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.9 106.5 113.0 113.6 0.6 0.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,726.0 4,766.3 4,724.0 4,759.1 35.1 0.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.2 28.4 28.3 28.5 0.2 0.7

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.1 188.4 185.3 187.6 2.3 1.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.1 51.6 51.7 52.0 0.3 0.6

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.6 49.5 47.0 49.9 2.9 6.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.0 173.0 172.4 172.2 -0.2 -0.1

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.1 152.4 151.3 152.6 1.3 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.0 115.9 113.5 112.9 -0.6 -0.5

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,110.9 3,155.1 3,137.1 3,167.7 30.6 1.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 73.1 77.3 76.9 -0.4 -0.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 54.9 53.0 55.1 2.1 4.0

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.9 146.0 139.9 145.5 5.6 4.0

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.1 163.7 162.9 164.3 1.4 0.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.1 228.6 223.4 230.0 6.6 3.0

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,065.0 1,091.3 1,066.8 1,089.7 22.9 2.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 44.2 42.4 44.7 2.3 5.4

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.1 105.1 105.4 109.7 4.3 4.1

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.7 41.0 41.7 41.7 0.0 0.0

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 51.8 52.9 53.4 0.5 0.9

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.9 138.1 144.0 144.0 0.0 0.0

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 70.8 71.6 71.4 -0.2 -0.3

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,566.3 1,588.1 1,577.8 1,593.4 15.6 1.0

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 52.2 55.4 56.3 0.9 1.6

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.6 144.6 144.0 145.5 1.5 1.0

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366.1 378.4 364.1 375.2 11.1 3.0

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 59.3 59.9 59.9 0.0 0.0

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.4 101.9 102.4 103.9 1.5 1.5

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 87.0 87.3 88.3 1.0 1.1

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.7 89.1 91.1 90.7 -0.4 -0.4

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,389.0 1,421.6 1,410.1 1,430.7 20.6 1.5

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 53.0 54.2 54.6 0.4 0.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 42.3 43.2 43.8 0.6 1.4

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 111.5 111.4 111.2 -0.2 -0.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291.3 297.0 294.4 299.6 5.2 1.8

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,921.6 1,938.2 1,930.6 1,944.9 14.3 0.7

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.9 77.6 76.7 78.2 1.5 2.0

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 57.7 56.4 57.3 0.9 1.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.1 280.5 279.5 281.6 2.1 0.8

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.3 674.6 670.6 675.8 5.2 0.8

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 54.8 54.3 55.3 1.0 1.8

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,961.6 1,979.6 1,967.2 1,983.4 16.2 0.8

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 62.0 62.1 62.0 -0.1 -0.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405.5 412.4 406.2 413.1 6.9 1.7

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 47.0 46.4 47.4 1.0 2.2

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.8 85.7 86.0 85.8 -0.2 -0.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201.2 201.6 201.0 201.0 0.0 0.0

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.4 119.9 116.5 119.9 3.4 2.9

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.6 78.2 77.8 78.3 0.5 0.6

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 570.8 577.3 571.6 578.2 6.6 1.2

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.1 179.5 179.4 179.3 -0.1 -0.1

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 638.6 647.2 636.5 641.5 5.0 0.8

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.3 65.6 67.3 67.2 -0.1 -0.1

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.3 51.1 51.4 0.3 0.6

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.1 217.8 211.1 214.9 3.8 1.8

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,730.8 2,764.3 2,733.0 2,760.5 27.5 1.0

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,401.6 1,424.9 1,404.9 1,426.3 21.4 1.5

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.5 45.0 45.4 0.4 0.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 38.9 39.6 39.3 -0.3 -0.8

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.7 107.2 105.6 107.6 2.0 1.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,629.5 3,706.9 3,629.2 3,695.8 66.6 1.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.9 122.4 110.6 112.2 1.6 1.4

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,741.6 2,805.7 2,745.2 2,800.7 55.5 2.0

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.4 53.1 53.3 53.6 0.3 0.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.5 68.3 67.8 68.7 0.9 1.3

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.3 43.7 41.8 42.5 0.7 1.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330.8 336.8 336.2 339.9 3.7 1.1

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.7 290.8 287.9 295.9 8.0 2.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,366.1 4,433.1 4,401.9 4,462.2 60.3 1.4

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215.6 219.5 223.6 226.7 3.1 1.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 58.5 58.2 58.9 0.7 1.2

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.3 35.8 36.0 36.1 0.1 0.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,009.6 2,028.9 2,013.0 2,027.0 14.0 0.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.9 140.4 141.5 142.0 0.5 0.4

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 550.2 563.2 555.5 571.6 16.1 2.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.9 57.6 58.3 58.2 -0.1 -0.2

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.7 148.1 149.1 150.6 1.5 1.0

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.4 231.8 236.8 241.2 4.4 1.9

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.4 37.5 37.4 37.7 0.3 0.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 41.9 42.7 43.2 0.5 1.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 65.5 65.1 65.0 -0.1 -0.2

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.7 63.0 63.7 0.7 1.1

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.2 87.8 88.6 90.0 1.4 1.6

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,951.6 3,002.2 2,953.3 2,990.6 37.3 1.3

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.9 138.2 138.4 139.5 1.1 0.8

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.4 58.8 58.5 60.3 1.8 3.1

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,002.9 2,044.5 2,006.0 2,039.4 33.4 1.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.4 122.1 120.8 121.6 0.8 0.7

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.7 111.4 110.2 111.9 1.7 1.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,146.8 1,168.5 1,152.9 1,171.6 18.7 1.6

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.4 156.1 154.1 154.5 0.4 0.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 64.7 64.7 65.8 1.1 1.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.6 284.0 279.7 282.7 3.0 1.1

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,859.3 2,896.8 2,883.0 2,921.8 38.8 1.3

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.8 44.9 44.7 45.7 1.0 2.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.1 97.7 100.8 101.7 0.9 0.9

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.4 76.6 77.3 77.6 0.3 0.4

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.7 79.5 80.9 81.7 0.8 1.0

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,081.9 1,104.7 1,091.7 1,111.7 20.0 1.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 64.8 64.3 65.3 1.0 1.6

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,375.7 1,386.9 1,382.5 1,393.6 11.1 0.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 208.4 210.8 214.2 216.8 2.6 1.2

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480.0 488.5 478.3 484.9 6.6 1.4

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.6 86.2 85.8 86.5 0.7 0.8

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.3 35.8 36.2 36.5 0.3 0.8

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.6 61.6 62.3 63.0 0.7 1.1

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,017.1 1,033.4 1,019.5 1,037.6 18.1 1.8

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.5 43.1 43.5 0.4 0.9

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.3 191.4 188.9 192.4 3.5 1.9

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 498.8 509.8 499.1 510.0 10.9 2.2

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,342.1 1,392.4 1,354.5 1,402.1 47.6 3.5

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.3 31.2 30.4 31.2 0.8 2.6

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 974.3 1,012.8 984.5 1,020.2 35.7 3.6

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.3 241.3 235.9 244.4 8.5 3.6

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.7 696.4 678.1 692.8 14.7 2.2

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.6 54.0 54.4 55.3 0.9 1.7

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.9 112.9 112.8 114.0 1.2 1.1

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.3 97.7 94.2 96.5 2.3 2.4

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,128.3 4,210.6 4,146.3 4,203.9 57.6 1.4

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.4 139.2 130.8 139.9 9.1 7.0

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.2 56.3 48.8 50.1 1.3 2.7

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.9 276.3 268.1 276.5 8.4 3.1

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 58.2 59.2 59.3 0.1 0.2

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 829.2 847.1 834.1 853.7 19.6 2.3

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 388.7 397.1 391.1 400.1 9.0 2.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.5 48.4 48.7 49.3 0.6 1.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 68.2 70.4 70.7 0.3 0.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.2 64.2 63.3 63.3 0.0 0.0

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,512.5 9,642.1 9,534.9 9,644.5 109.6 1.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465.8 465.8 469.5 470.0 0.5 0.1

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.5 102.6 104.3 103.7 -0.6 -0.6

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 563.7 573.1 567.9 574.7 6.8 1.2

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.9 36.2 36.7 36.5 -0.2 -0.5

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.4 60.6 56.4 56.9 0.5 0.9

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.2 63.8 65.2 66.4 1.2 1.8

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.9 63.2 62.6 63.3 0.7 1.1

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,654.9 9,795.8 9,679.9 9,788.4 108.5 1.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528.2 535.1 534.9 541.8 6.9 1.3

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.4 318.5 318.2 321.1 2.9 0.9

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.7 129.1 127.0 127.3 0.3 0.2

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.8 43.8 42.6 42.8 0.2 0.5

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,425.1 4,527.0 4,433.5 4,514.1 80.6 1.8

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.2 193.7 191.6 193.5 1.9 1.0

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.9 61.5 61.5 61.6 0.1 0.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,183.2 1,215.7 1,186.5 1,215.4 28.9 2.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.2 319.0 311.2 318.8 7.6 2.4

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.5 129.5 129.5 130.1 0.6 0.5

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 41.4 41.8 41.5 -0.3 -0.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.9 363.2 358.9 364.8 5.9 1.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 80.5 80.5 81.2 0.7 0.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.5 155.8 153.2 156.6 3.4 2.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 49.9 49.1 48.3 -0.8 -1.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.0 45.7 44.5 44.4 -0.1 -0.2

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 622.2 641.7 619.2 639.6 20.4 3.3

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.0 54.6 56.0 54.8 -1.2 -2.1

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.7 128.8 126.6 122.1 -4.5 -3.6

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.2 265.1 264.0 268.2 4.2 1.6

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 430.2 435.8 435.7 440.2 4.5 1.0

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 72.8 72.9 74.0 1.1 1.5

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.3 141.9 143.2 144.1 0.9 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

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.1 57.3 57.5 0.2 0.3

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,556.2 5,659.7 5,555.2 5,660.1 104.9 1.9

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.3 344.7 343.0 349.1 6.1 1.8

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.6 174.9 173.6 175.0 1.4 0.8

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,100.5 1,115.2 1,099.8 1,114.8 15.0 1.4

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,067.4 1,095.8 1,060.7 1,089.2 28.5 2.7

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,093.1 1,103.5 1,088.9 1,104.1 15.2 1.4

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389.8 393.5 389.4 396.5 7.1 1.8

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 53.9 53.4 53.1 -0.3 -0.6

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.4 53.4 52.4 53.4 1.0 1.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 50.7 50.2 50.6 0.4 0.8

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304.7 308.3 309.5 312.1 2.6 0.8

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 41.5 41.6 41.4 -0.2 -0.5

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.8 218.7 220.2 217.8 -2.4 -1.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,655.6 1,691.0 1,673.0 1,704.5 31.5 1.9

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.5 25.8 25.7 25.7 0.0 0.0

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.4 45.3 45.8 0.5 1.1

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 632.8 650.8 641.3 656.3 15.0 2.3

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 446.0 460.0 450.1 463.9 13.8 3.1

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,871.3 1,923.2 1,881.6 1,927.7 46.1 2.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.0 45.9 44.6 46.1 1.5 3.4

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.2 86.4 83.0 86.7 3.7 4.5

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.1 40.4 42.0 42.1 0.1 0.2

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.6 161.0 158.4 163.6 5.2 3.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.1 26.6 26.5 27.0 0.5 1.9

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 89.2 87.6 89.5 1.9 2.2

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,173.9 1,201.2 1,179.1 1,206.6 27.5 2.3

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.9 167.2 165.1 169.4 4.3 2.6

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,921.1 6,010.7 5,986.6 6,063.8 77.2 1.3

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366.5 374.2 372.4 375.5 3.1 0.8

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.0 62.4 62.0 61.9 -0.1 -0.2

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 42.1 43.2 43.0 -0.2 -0.5

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 61.4 60.5 61.5 1.0 1.7

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 59.4 58.5 58.9 0.4 0.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.2 127.7 129.4 130.0 0.6 0.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.7 35.7 35.6 36.5 0.9 2.5

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344.4 349.5 343.9 348.4 4.5 1.3

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 55.4 55.2 55.6 0.4 0.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.4 257.6 254.6 259.3 4.7 1.8

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 51.8 52.6 52.8 0.2 0.4

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,892.1 2,942.9 2,922.7 2,966.7 44.0 1.5

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,172.7 1,182.1 1,184.7 1,193.5 8.8 0.7

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.9 178.9 178.8 182.9 4.1 2.3

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.9 267.7 265.8 269.9 4.1 1.5

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 76.9 79.3 79.1 -0.2 -0.3

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 52.1 53.9 52.9 -1.0 -1.9

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.7 188.7 186.5 189.0 2.5 1.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 496.6 506.6 499.5 507.4 7.9 1.6

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 590.0 599.9 594.3 601.4 7.1 1.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,093.3 2,131.2 2,085.1 2,113.1 28.0 1.3

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.2 361.6 352.1 356.5 4.4 1.2

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.3 401.2 393.3 400.0 6.7 1.7

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.7 88.7 88.0 88.9 0.9 1.0

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 415.1 421.1 415.5 421.0 5.5 1.3

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.8 82.9 77.7 79.9 2.2 2.8

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.9 179.0 167.7 168.4 0.7 0.4

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.3 155.0 154.3 155.3 1.0 0.6

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 39.7 39.1 39.5 0.4 1.0

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 440.4 450.1 438.3 446.0 7.7 1.8

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.9 73.6 69.9 71.2 1.3 1.9

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.7 159.7 156.0 158.6 2.6 1.7

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,007.3 3,065.1 3,033.1 3,093.7 60.6 2.0

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.7 264.7 258.4 266.7 8.3 3.2

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.9 90.8 90.5 91.6 1.1 1.2

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 47.0 47.1 47.5 0.4 0.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 70.0 68.7 70.1 1.4 2.0

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.4 80.3 80.6 0.3 0.4

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.2 123.3 122.1 124.0 1.9 1.6

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.6 397.8 399.2 400.6 1.4 0.4

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 641.3 655.8 643.6 658.5 14.9 2.3

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.6 45.9 46.9 1.0 2.2

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 983.5 998.8 991.4 1,007.9 16.5 1.7

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,198.4 12,587.7 12,219.4 12,622.4 403.0 3.3

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.1 69.3 68.7 69.8 1.1 1.6

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 121.2 118.7 121.3 2.6 2.2

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,029.9 1,064.3 1,032.5 1,072.5 40.0 3.9

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.9 161.5 159.8 161.6 1.8 1.1

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.4 142.8 140.8 143.1 2.3 1.6

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.9 115.3 119.1 122.1 3.0 2.5

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.0 191.8 189.4 191.8 2.4 1.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,601.1 3,714.1 3,611.3 3,720.7 109.4 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.1 317.0 312.3 319.7 7.4 2.4

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,012.9 3,122.1 3,007.2 3,135.9 128.7 4.3

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.7 145.6 142.7 145.2 2.5 1.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.6 104.0 103.8 104.2 0.4 0.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.2 96.2 96.1 97.2 1.1 1.1

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.5 151.6 147.8 151.6 3.8 2.6

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.7 259.0 256.1 261.6 5.5 2.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.2 104.1 95.7 104.3 8.6 9.0

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.9 75.6 74.9 75.7 0.8 1.1

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 49.4 49.1 49.9 0.8 1.6

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,039.3 1,051.0 1,044.4 1,054.0 9.6 0.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 48.3 46.9 48.2 1.3 2.8

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.7 59.8 60.3 0.5 0.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.2 108.0 104.6 108.9 4.3 4.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 40.2 40.4 39.9 -0.5 -1.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.7 122.2 120.5 122.3 1.8 1.5

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.5 59.1 58.6 59.3 0.7 1.2

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,463.1 1,520.2 1,482.7 1,535.9 53.2 3.6

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.6 60.5 61.7 63.4 1.7 2.8

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.6 261.3 257.3 261.4 4.1 1.6

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246.0 258.1 252.8 264.8 12.0 4.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 67.2 64.7 67.9 3.2 4.9

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715.6 738.7 720.5 741.5 21.0 2.9

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.8 310.0 315.8 312.7 -3.1 -1.0

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.3 122.1 126.1 125.0 -1.1 -0.9

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,955.4 4,021.2 3,964.9 4,032.2 67.3 1.7

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.2 77.1 78.0 78.5 0.5 0.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.5 119.1 119.6 123.7 4.1 3.4

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 65.6 68.0 68.6 0.6 0.9

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 106.4 104.5 106.1 1.6 1.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672.7 684.7 674.7 684.4 9.7 1.4

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.4 161.1 160.6 163.1 2.5 1.6

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 50.7 49.9 51.0 1.1 2.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787.5 795.2 783.7 789.2 5.5 0.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 65.6 63.8 65.6 1.8 2.8

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,334.2 3,446.7 3,355.1 3,457.8 102.7 3.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 93.4 92.4 95.2 2.8 3.0

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.0 92.8 91.0 92.8 1.8 2.0

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.0 116.7 113.9 116.7 2.8 2.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.9 41.0 40.3 41.3 1.0 2.5

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.6 51.5 50.3 51.1 0.8 1.6

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.3 118.6 117.2 120.0 2.8 2.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,008.2 2,086.0 2,012.9 2,088.1 75.2 3.7

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.0 246.3 247.5 248.8 1.3 0.5

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.2 27.9 27.7 28.4 0.7 2.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.2 47.5 46.0 47.6 1.6 3.5

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.3 90.8 88.5 91.5 3.0 3.4

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 739.5 748.2 751.4 757.6 6.2 0.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 45.3 45.7 45.1 -0.6 -1.3

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.9 116.2 117.4 116.1 -1.3 -1.1

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.9 137.0 139.7 138.7 -1.0 -0.7

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.1 71.4 72.4 73.6 1.2 1.7

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 39.7 39.9 39.7 -0.2 -0.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 66.2 66.7 66.6 -0.1 -0.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,961.3 3,004.2 2,957.0 2,999.1 42.1 1.4

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 129.0 125.1 127.8 2.7 2.2

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 88.2 87.0 88.0 1.0 1.1

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.0 48.9 48.6 49.1 0.5 1.0

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.0 182.1 179.2 182.2 3.0 1.7

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.6 69.6 69.0 68.7 -0.3 -0.4

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 79.2 78.8 80.4 1.6 2.0

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401.5 406.1 401.9 410.0 8.1 2.0

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873.1 878.8 868.8 874.5 5.7 0.7

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.8 97.8 97.6 98.4 0.8 0.8

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 79.1 77.9 78.1 0.2 0.3

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.9 65.4 63.1 64.9 1.8 2.9

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 74.9 72.1 74.0 1.9 2.6

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.7 295.9 287.9 294.1 6.2 2.2

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.0 39.2 39.1 39.3 0.2 0.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.9 47.3 46.7 47.1 0.4 0.9

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 861.9 846.2 867.0 850.6 -16.4 -1.9

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 50.3 50.8 50.3 -0.5 -1.0

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 32.6 33.7 33.1 -0.6 -1.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14.5 13.8 14.5 13.9 -0.6 -4.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.3 29.8 31.0 29.9 -1.1 -3.5

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 65.6 67.3 66.1 -1.2 -1.8

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.6 18.6 19.0 18.9 -0.1 -0.5

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 627.8 618.8 630.9 621.7 -9.2 -1.5

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.9 36.9 36.8 37.0 0.2 0.5

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

the first principal city.

2 Area boundary does not reflect official OMB delineation.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes

available. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

August September

Change from

September 2017 to September

2018p

2017 2018 2017 2018p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,794.0 17,128.5 16,857.9 17,189.3 331.4 2.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,027.9 6,105.4 6,072.1 6,133.7 61.6 1.0

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,613.2 1,625.3 1,622.4 1,632.0 9.6 0.6

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,414.7 4,480.1 4,449.7 4,501.7 52.0 1.2

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,397.7 2,442.6 2,399.6 2,448.7 49.1 2.0

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,161.8 1,183.9 1,164.9 1,188.5 23.6 2.0

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,120.1 1,139.9 1,119.9 1,140.9 21.0 1.9

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.8 118.8 114.8 119.3 4.5 3.9

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 780.6 789.9 792.7 799.8 7.1 0.9

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,266.3 3,334.0 3,275.4 3,342.3 66.9 2.0

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592.6 610.0 591.1 607.0 15.9 2.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,673.7 2,724.0 2,684.3 2,735.3 51.0 1.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,547.1 8,772.5 8,389.9 8,791.0 401.1 4.8

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,620.8 2,664.1 2,564.6 2,672.3 107.7 4.2

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 835.1 846.5 817.3 852.4 35.1 4.3

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,170.5 1,194.6 1,145.6 1,195.8 50.2 4.4

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 615.2 623.0 601.7 624.1 22.4 3.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,083.1 6,139.7 6,103.6 6,159.0 55.4 0.9

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,726.0 4,766.3 4,724.0 4,759.1 35.1 0.7

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,767.7 3,798.8 3,763.4 3,788.6 25.2 0.7

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.4 261.5 259.6 263.9 4.3 1.7

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275.7 280.4 279.4 282.2 2.8 1.0

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424.2 425.6 421.6 424.4 2.8 0.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,629.5 3,706.9 3,629.2 3,695.8 66.6 1.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,741.6 2,805.7 2,745.2 2,800.7 55.5 2.0

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,847.2 1,899.2 1,847.3 1,891.0 43.7 2.4

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.4 81.2 81.3 82.8 1.5 1.8

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.6 173.5 173.7 172.7 -1.0 -0.6

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 69.3 67.8 68.4 0.6 0.9

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.6 85.7 84.0 85.6 1.6 1.9

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.3 162.3 158.2 161.8 3.6 2.3

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 47.7 46.2 47.4 1.2 2.6

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 128.9 128.8 131.5 2.7 2.1

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.2 96.0 96.8 96.8 0.0 0.0

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 61.9 61.1 62.7 1.6 2.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,366.1 4,433.1 4,401.9 4,462.2 60.3 1.4

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,009.6 2,028.9 2,013.0 2,027.0 14.0 0.7

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 756.7 767.6 758.7 767.7 9.0 1.2

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,252.9 1,261.3 1,254.3 1,259.3 5.0 0.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,512.5 9,642.1 9,534.9 9,644.5 109.6 1.1

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,654.9 9,795.8 9,679.9 9,788.4 108.5 1.1

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.6 148.5 147.6 149.6 2.0 1.4

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,348.8 1,364.6 1,346.3 1,356.3 10.0 0.7

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,205.7 1,217.0 1,211.7 1,215.2 3.5 0.3

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,952.8 7,065.7 6,974.3 7,067.3 93.0 1.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,921.1 6,010.7 5,986.6 6,063.8 77.2 1.3

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,892.1 2,942.9 2,922.7 2,966.7 44.0 1.5

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 536.8 549.3 545.5 551.7 6.2 1.1

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,068.3 1,077.6 1,069.1 1,076.8 7.7 0.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 931.1 951.3 951.3 972.5 21.2 2.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355.9 364.7 356.8 365.7 8.9 2.5

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,198.4 12,587.7 12,219.4 12,622.4 403.0 3.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,601.1 3,714.1 3,611.3 3,720.7 109.4 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,569.0 2,658.4 2,575.8 2,661.7 85.9 3.3

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,032.1 1,055.7 1,035.5 1,059.0 23.5 2.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,334.2 3,446.7 3,355.1 3,457.8 102.7 3.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,008.2 2,086.0 2,012.9 2,088.1 75.2 3.7

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,695.6 1,762.4 1,696.8 1,763.1 66.3 3.9

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.6 323.6 316.1 325.0 8.9 2.8

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

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

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

city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan

areas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
Map 1. Unemployment rates for metropolitan areas, not seasonally ad

September 2018

(U.S. rate = 3.6 percent)

Map includes data for 388 metropolitan areas basedon Office of Management and Budget Bulletin No. 15- 01. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, September 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.