For release 10:00 a.m. (EST) Wednesday, November 27, 2019 USDL-19-2070 

Technical information:

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

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

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

METROPOLITAN AREA EMPLOYMENT AND UNEMPLOYMENT — OCTOBER 2019

Unemployment rates were lower in October than a year earlier in 240 of the 389 metropolitan areas, 

higher in 121 areas, and unchanged in 28 areas, the U.S. Bureau of Labor Statistics reported today. A 

total of 153 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 49 metropolitan areas and was essentially 

unchanged in the remaining 340 areas. The national unemployment rate in October was 3.3 percent, not 

seasonally adjusted, down from 3.5 percent a year earlier.

This news release presents statistics from two monthly programs. The civilian labor force and 

unemployment data are based on the same concepts and definitions as those used for the national 

household survey estimates. These data pertain to individuals by where they reside. The employment 

data are from an establishment survey that measures nonfarm employment, hours, and earnings by 

industry. These data pertain to jobs on payrolls defined by where the establishments are located. For 

more information about the concepts and statistical methodologies used by these two programs, see the 

Technical Note.

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In October, Ames, IA, and Burlington-South Burlington, VT, had the lowest unemployment rates, 1.3 

percent each. El Centro, CA, and Yuma, AZ, had the highest unemployment rates, 21.2 percent and 16.1 

percent, respectively. A total of 188 areas had October jobless rates below the U.S. rate of 3.3 percent, 

182 areas had rates above it, and 19 areas had rates equal to that of the nation. (See table 1 and map 1.) 

Yuma, AZ, had the largest over-the-year unemployment rate decrease in October (-2.4 percentage 

points). Thirty-three other areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Grand Island, NE (+1.8 percentage points). 

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

had the lowest unemployment rate in October, 1.9 percent. New Orleans-Metairie, LA, had the highest 

jobless rate among the large areas, 4.4 percent. Thirty-nine large areas had over-the-year unemployment 

rate decreases, eight had increases, and four had no change. The largest rate decreases occurred in 

Cleveland-Elyria, OH (-1.3 percentage points), and Birmingham-Hoover, AL (-1.2 points). The largest 

jobless rate increase was in Pittsburgh, PA (+0.6 percentage point).
-2- 

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

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

essentially separately identifiable employment centers. In October, San Francisco-Redwood City-South 

San Francisco, CA, had the lowest unemployment rate among the divisions, 1.9 percent. Philadelphia, 

PA, had the highest division rate, 5.2 percent. (See table 2.)

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

and 1 had no change. The largest rate declines occurred in Detroit-Dearborn-Livonia, MI, and Elgin, IL 

(-0.9 percentage point each). The largest over-the-year jobless rate increase occurred in Philadelphia, PA 

(+0.5 percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In October, 49 metropolitan areas had over-the-year increases in nonfarm payroll employment and 340 

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

Worth-Arlington, TX (+98,700), New York-Newark-Jersey City, NY-NJ-PA (+84,600), and Los 

Angeles-Long Beach-Anaheim, CA (+80,700). The largest over-the-year percentage gains in 

employment occurred in Myrtle Beach-Conway-North Myrtle Beach, SC-NC (+5.2 percent); Reno, NV, 

and Wilmington, NC (+4.7 percent each); and Cape Coral-Fort Myers, FL, and Ogden-Clearfield, UT 

(+4.3 percent each). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 32 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 19 areas. The largest 

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

Orlando-Kissimmee-Sanford, FL, and San Antonio-New Braunfels, TX (+3.4 percent each), Raleigh, 

NC (+3.3 percent), and Jacksonville, FL (+3.2 percent). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)

In October, nonfarm payroll employment increased in 9 of the 38 metropolitan divisions over the year 

and was essentially unchanged in 29 divisions. The largest over-the-year increase in employment among 

the metropolitan divisions occurred in Dallas-Plano-Irving, TX (+87,300), followed by Los AngelesLong Beach-Glendale, CA (+61,700), and New York-Jersey City-White Plains, NY-NJ (+57,700). (See 

table 4.) 

The largest over-the-year percentage increases in employment occurred in Dallas-Plano-Irving, TX, and 

San Francisco-Redwood City-South San Francisco, CA (+3.3 percent each), Seattle-Bellevue-Everett, 

WA (+3.1 percent), and Oakland-Hayward-Berkeley, CA (+2.1 percent). 

_____________ 

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

on Friday, December 20, 2019, at 10:00 a.m. (EST). The Metropolitan Area Employment and 

Unemployment news release for November is scheduled to be released on Friday, January 3, 2020, 

at 10:00 a.m. (EST).
Technical Note

This news release presents civilian labor force and 

unemployment data from the Local Area Unemployment 

Statistics (LAUS) program (tables 1 and 2) for 389 

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 news 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 news 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.

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 real-time 

estimates.

Reliability of the estimates

The estimates presented in this news 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 news 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

news 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 serviceproviding, 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 news release 

reflect the delineations issued by the U.S. Office of 

Management and Budget on April 10, 2018. 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 news release will be made available to 

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

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

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,192,040 2,264,263 2,212,503 2,268,807 80,600 56,924 81,676 55,198 3.7 2.5 3.7 2.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,479 46,291 45,795 46,674 2,006 1,353 2,001 1,337 4.4 2.9 4.4 2.9

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 75,157 77,717 76,149 78,383 2,538 1,717 2,539 1,675 3.4 2.2 3.3 2.1

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 541,584 559,522 548,653 561,977 18,060 12,828 18,447 12,365 3.3 2.3 3.4 2.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 93,672 97,331 93,506 97,192 3,127 2,182 3,228 2,132 3.3 2.2 3.5 2.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,394 73,294 71,190 73,304 2,340 1,602 2,359 1,614 3.3 2.2 3.3 2.2

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,987 64,019 63,152 64,143 2,416 1,604 2,469 1,551 3.8 2.5 3.9 2.4

Florence-Muscle Shoals. . . . . . . . . . . . . . . 65,287 67,265 66,258 67,443 2,626 1,946 2,615 1,825 4.0 2.9 3.9 2.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,936 44,308 43,394 44,369 1,625 1,218 1,669 1,245 3.8 2.7 3.8 2.8

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 220,217 230,651 224,628 232,452 7,264 4,781 7,441 4,784 3.3 2.1 3.3 2.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186,204 192,181 188,386 192,453 8,194 6,008 8,147 5,748 4.4 3.1 4.3 3.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 171,053 176,289 172,359 176,808 6,315 4,433 6,430 4,315 3.7 2.5 3.7 2.4

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 116,103 120,679 117,409 121,320 3,910 2,802 3,945 2,712 3.4 2.3 3.4 2.2

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,350 349,424 354,262 344,086 21,107 19,674 21,539 19,302 5.9 5.6 6.1 5.6

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 197,327 192,730 199,196 193,097 11,023 10,164 11,106 9,729 5.6 5.3 5.6 5.0

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,269 45,205 46,270 44,700 2,369 2,206 2,433 2,182 5.1 4.9 5.3 4.9

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,477,406 3,599,212 3,491,620 3,600,272 171,484 160,003 170,174 155,592 4.9 4.4 4.9 4.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,297 80,716 78,808 80,627 4,076 3,849 4,152 3,790 5.1 4.8 5.3 4.7

Lake Havasu City-Kingman. . . . . . . . . . . . 86,291 89,286 86,465 88,972 5,033 4,760 4,915 4,663 5.8 5.3 5.7 5.2

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,431,209 2,523,439 2,440,085 2,527,472 103,507 95,085 102,079 94,123 4.3 3.8 4.2 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,731 109,655 107,103 109,339 4,920 4,458 4,754 4,408 4.6 4.1 4.4 4.0

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,170 51,496 50,156 51,896 2,840 2,716 2,805 2,637 5.7 5.3 5.6 5.1

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491,077 506,561 491,259 504,604 22,171 20,833 21,941 20,667 4.5 4.1 4.5 4.1

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,308 102,575 104,775 102,337 18,891 19,116 19,431 16,468 18.8 18.6 18.5 16.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,353,432 1,363,893 1,355,060 1,371,506 46,919 45,710 44,065 43,543 3.5 3.4 3.3 3.2

Fayetteville-Springdale-Rogers. . . . . . . . . 275,697 284,020 276,369 286,952 7,261 6,732 6,889 6,488 2.6 2.4 2.5 2.3

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,788 118,302 118,933 118,840 4,219 4,127 4,093 4,117 3.6 3.5 3.4 3.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,425 41,006 40,404 41,014 1,569 1,458 1,514 1,418 3.9 3.6 3.7 3.5

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,771 65,524 64,667 66,208 1,898 1,781 1,794 1,695 2.9 2.7 2.8 2.6

Little Rock-North Little Rock-Conway. . . . 355,268 357,382 355,560 360,147 11,341 11,288 10,672 10,724 3.2 3.2 3.0 3.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,370 35,124 35,546 35,245 1,684 1,728 1,602 1,641 4.8 4.9 4.5 4.7

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,478,378 19,567,536 19,542,699 19,587,530 756,608 690,859 772,789 718,288 3.9 3.5 4.0 3.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 391,142 391,823 392,498 393,258 25,317 23,417 25,417 24,100 6.5 6.0 6.5 6.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,546 103,394 104,924 104,409 4,259 3,798 4,418 4,000 4.1 3.7 4.2 3.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,236 72,519 72,081 73,767 14,219 15,091 14,209 15,651 20.0 20.8 19.7 21.2

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451,388 455,323 447,143 451,413 26,423 24,206 28,434 26,406 5.9 5.3 6.4 5.8

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,958 57,905 57,747 57,891 3,421 3,281 3,604 3,632 5.9 5.7 6.2 6.3

Los Angeles-Long Beach-Anaheim. . . . . 6,782,795 6,785,155 6,806,284 6,795,446 285,930 269,412 286,727 274,351 4.2 4.0 4.2 4.0

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,299 62,572 61,415 61,712 3,331 3,147 3,571 3,331 5.3 5.0 5.8 5.4

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117,448 118,318 116,860 118,643 7,069 6,467 7,272 6,853 6.0 5.5 6.2 5.8

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245,415 245,457 243,913 244,572 12,733 11,303 13,201 11,882 5.2 4.6 5.4 4.9

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,065 76,181 75,762 75,353 1,867 1,644 1,927 1,745 2.5 2.2 2.5 2.3

Oxnard-Thousand Oaks-Ventura. . . . . . . 424,291 421,696 427,355 424,155 15,549 13,459 15,761 13,866 3.7 3.2 3.7 3.3

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,457 74,141 75,087 74,869 3,180 2,624 3,247 2,837 4.3 3.5 4.3 3.8

Riverside-San Bernardino-Ontario. . . . . . 2,056,474 2,072,577 2,071,476 2,079,577 83,652 74,188 85,350 76,987 4.1 3.6 4.1 3.7

Sacramento--Roseville--Arden-Arcade. . . 1,098,987 1,105,107 1,104,825 1,103,916 37,042 32,843 38,370 34,676 3.4 3.0 3.5 3.1

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229,726 231,814 226,619 228,152 8,779 7,707 9,263 8,429 3.8 3.3 4.1 3.7

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,596,791 1,607,643 1,604,579 1,609,412 49,999 43,666 51,942 45,811 3.1 2.7 3.2 2.8

San Francisco-Oakland-Hayward. . . . . . . 2,599,544 2,630,673 2,608,606 2,633,595 66,042 57,618 68,309 60,912 2.5 2.2 2.6 2.3

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,083,709 1,100,638 1,086,645 1,102,117 26,864 23,959 27,599 25,244 2.5 2.2 2.5 2.3

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 140,167 140,511 142,915 143,504 3,834 3,351 3,937 3,476 2.7 2.4 2.8 2.4

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 142,495 143,329 144,629 144,268 4,976 4,504 5,164 4,829 3.5 3.1 3.6 3.3

Santa Maria-Santa Barbara. . . . . . . . . . . . 216,786 217,769 218,635 218,479 7,021 6,157 7,312 6,591 3.2 2.8 3.3 3.0

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 265,969 266,244 265,201 263,952 6,484 5,737 6,687 6,018 2.4 2.2 2.5 2.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 329,347 327,190 329,029 327,452 16,534 15,224 17,168 16,273 5.0 4.7 5.2 5.0

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 210,285 208,026 210,499 209,172 7,379 6,401 7,601 6,803 3.5 3.1 3.6 3.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 204,285 204,289 201,854 202,778 16,238 15,457 16,931 16,256 7.9 7.6 8.4 8.0

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,834 74,634 74,629 74,312 4,007 3,620 4,233 3,859 5.4 4.9 5.7 5.2

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,124,018 3,177,825 3,135,286 3,178,070 101,808 70,003 106,223 75,930 3.3 2.2 3.4 2.4

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195,113 200,131 197,284 200,566 5,654 3,895 5,897 4,163 2.9 1.9 3.0 2.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 352,303 361,495 356,469 360,437 13,876 9,424 14,362 10,125 3.9 2.6 4.0 2.8

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,657,922 1,687,250 1,666,651 1,688,172 52,774 36,456 54,623 39,461 3.2 2.2 3.3 2.3

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 205,748 209,296 206,009 211,381 5,774 3,926 6,069 4,243 2.8 1.9 2.9 2.0

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 77,323 78,331 77,589 78,297 2,882 1,993 3,022 2,177 3.7 2.5 3.9 2.8

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168,595 171,465 169,734 173,621 4,978 3,466 5,233 3,824 3.0 2.0 3.1 2.2

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,176 76,187 76,607 76,217 3,708 2,558 3,846 2,696 4.9 3.4 5.0 3.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,903,862 1,913,778 1,915,336 1,929,656 69,691 65,606 66,683 67,400 3.7 3.4 3.5 3.5

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 465,530 468,225 466,514 471,631 17,200 16,129 16,515 16,672 3.7 3.4 3.5 3.5

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,370 106,730 106,623 107,710 3,239 2,982 3,056 3,084 3.0 2.8 2.9 2.9

Hartford-West Hartford-East Hartford. . . . 625,782 628,079 630,843 632,980 22,961 21,881 21,802 22,383 3.7 3.5 3.5 3.5

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 326,292 329,729 330,043 333,315 11,903 11,083 11,324 11,397 3.6 3.4 3.4 3.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 142,699 142,243 142,468 142,782 4,961 4,732 4,754 4,779 3.5 3.3 3.3 3.3

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,083 112,271 112,797 113,484 5,063 4,742 4,924 4,882 4.5 4.2 4.4 4.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,645 484,873 481,871 490,070 17,069 18,227 16,101 18,747 3.6 3.8 3.3 3.8

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,118 78,316 78,126 80,085 3,038 3,303 2,796 3,399 3.9 4.2 3.6 4.2

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 191,904 192,611 189,219 190,267 7,499 7,414 7,764 7,679 3.9 3.8 4.1 4.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . 400,542 407,982 402,446 408,359 22,194 21,705 21,315 21,847 5.5 5.3 5.3 5.3

Washington-Arlington-Alexandria. . . . . . . 3,381,116 3,460,490 3,393,284 3,490,959 105,536 99,932 104,742 98,547 3.1 2.9 3.1 2.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,280,409 10,532,471 10,305,265 10,565,454 342,076 317,695 340,078 307,338 3.3 3.0 3.3 2.9

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 341,300 354,616 343,976 356,622 10,909 10,297 10,996 9,983 3.2 2.9 3.2 2.8

Crestview-Fort Walton Beach-Destin. . . . 127,476 130,692 126,655 130,101 3,388 3,126 3,433 3,017 2.7 2.4 2.7 2.3

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302,622 307,257 302,842 307,053 10,467 9,874 10,685 9,716 3.5 3.2 3.5 3.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,173 148,552 147,079 147,854 4,337 4,142 4,466 4,076 2.9 2.8 3.0 2.8

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,210 48,578 48,201 48,558 2,298 2,104 2,307 2,006 4.8 4.3 4.8 4.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 781,960 796,588 775,655 797,601 24,153 22,953 24,420 22,426 3.1 2.9 3.1 2.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 301,756 307,277 304,059 305,373 11,502 10,826 11,390 10,401 3.8 3.5 3.7 3.4

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,149,837 3,239,364 3,163,808 3,269,075 109,688 98,630 107,396 94,577 3.5 3.0 3.4 2.9

Naples-Immokalee-Marco Island. . . . . . . . 173,402 178,188 176,782 181,234 6,109 5,701 5,881 5,318 3.5 3.2 3.3 2.9

North Port-Sarasota-Bradenton. . . . . . . . . 365,661 371,089 365,580 370,907 11,604 10,763 11,592 10,403 3.2 2.9 3.2 2.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,399 139,905 136,819 139,689 5,356 4,899 5,368 4,741 3.9 3.5 3.9 3.4

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,349,984 1,398,711 1,355,177 1,396,329 40,715 38,678 40,714 37,753 3.0 2.8 3.0 2.7

Palm Bay-Melbourne-Titusville. . . . . . . . . 279,311 286,474 279,292 286,677 8,947 8,492 9,001 8,379 3.2 3.0 3.2 2.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 96,222 94,488 94,288 93,427 2,863 2,880 2,839 2,756 3.0 3.0 3.0 2.9

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 228,283 230,462 228,630 229,494 7,091 6,611 7,115 6,531 3.1 2.9 3.1 2.8

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 217,048 222,935 219,745 223,534 8,247 7,712 8,150 7,402 3.8 3.5 3.7 3.3

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 70,611 72,009 71,114 72,353 2,722 2,529 2,685 2,376 3.9 3.5 3.8 3.3

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 64,568 66,643 65,536 67,505 2,698 2,462 2,586 2,295 4.2 3.7 3.9 3.4

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,185 35,781 35,682 35,869 1,657 1,537 1,631 1,468 4.6 4.3 4.6 4.1

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 195,975 201,435 196,582 201,857 6,192 5,895 6,228 5,768 3.2 2.9 3.2 2.9

Tampa-St. Petersburg-Clearwater. . . . . . 1,544,955 1,574,339 1,543,442 1,575,611 49,206 46,379 49,462 45,293 3.2 2.9 3.2 2.9

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 31,325 32,200 31,324 32,051 1,442 1,327 1,443 1,270 4.6 4.1 4.6 4.0

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,090,466 5,112,295 5,112,773 5,132,691 182,202 156,470 191,762 156,161 3.6 3.1 3.8 3.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,806 66,631 67,416 66,773 2,950 2,565 3,062 2,447 4.4 3.8 4.5 3.7

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,050 101,601 103,341 102,751 3,439 2,881 3,704 2,888 3.4 2.8 3.6 2.8

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,063,490 3,085,429 3,073,624 3,098,694 105,385 89,765 109,747 89,224 3.4 2.9 3.6 2.9

Augusta-Richmond County. . . . . . . . . . . . . 265,141 266,503 266,838 268,614 10,316 7,992 10,426 8,141 3.9 3.0 3.9 3.0

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,504 53,985 53,382 53,573 1,840 1,848 1,980 1,638 3.4 3.4 3.7 3.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,051 122,748 124,934 123,497 5,246 4,442 5,439 4,318 4.2 3.6 4.4 3.5

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,230 61,024 61,094 61,234 2,702 2,270 2,809 2,693 4.4 3.7 4.6 4.4

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 102,630 104,394 103,346 104,958 2,954 2,479 3,166 2,497 2.9 2.4 3.1 2.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,497 33,756 33,697 33,794 1,257 1,211 1,346 1,159 3.8 3.6 4.0 3.4

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 103,890 103,506 104,212 103,590 4,017 3,461 4,465 3,437 3.9 3.3 4.3 3.3

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,941 44,374 44,214 44,686 1,758 1,464 1,850 1,468 4.0 3.3 4.2 3.3

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,896 186,575 188,232 187,565 6,290 5,509 6,639 5,486 3.3 3.0 3.5 2.9

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,336 64,323 64,938 64,936 2,393 1,977 2,564 2,052 3.7 3.1 3.9 3.2

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 85,651 86,049 86,457 86,541 3,166 2,591 3,918 2,742 3.7 3.0 4.5 3.2

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673,932 657,524 673,215 663,485 18,180 18,240 17,405 17,433 2.7 2.8 2.6 2.6

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,717 83,510 84,790 83,856 2,286 2,273 2,274 2,275 2.7 2.7 2.7 2.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 460,732 451,198 462,290 456,513 11,824 11,914 10,977 11,045 2.6 2.6 2.4 2.4

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 858,931 885,920 862,938 887,724 18,905 20,304 19,220 20,729 2.2 2.3 2.2 2.3

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 362,858 375,895 361,662 372,809 7,929 8,561 7,968 8,749 2.2 2.3 2.2 2.3

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 77,678 79,640 77,092 79,248 2,013 2,089 2,027 2,201 2.6 2.6 2.6 2.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 70,147 73,491 70,883 74,211 1,329 1,467 1,323 1,429 1.9 2.0 1.9 1.9

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30,883 31,597 31,125 31,742 846 856 849 922 2.7 2.7 2.7 2.9

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,090 42,785 41,812 43,339 896 978 922 1,003 2.2 2.3 2.2 2.3

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,688 54,059 53,047 54,361 1,114 1,169 1,125 1,193 2.1 2.2 2.1 2.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,435,664 6,482,734 6,477,162 6,483,880 248,531 230,385 263,231 235,466 3.9 3.6 4.1 3.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 95,452 95,662 96,188 96,563 3,779 3,440 4,142 3,356 4.0 3.6 4.3 3.5

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,708 61,962 61,427 62,660 2,734 2,309 2,893 2,339 4.5 3.7 4.7 3.7

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 121,288 123,589 122,180 125,193 5,023 4,304 5,553 4,433 4.1 3.5 4.5 3.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,842,910 4,870,597 4,877,420 4,865,666 173,982 163,300 182,549 168,946 3.6 3.4 3.7 3.5

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,280 33,218 33,416 33,444 1,872 1,650 1,956 1,629 5.6 5.0 5.9 4.9

Davenport-Moline-Rock Island1. . . . . . . . . 191,358 196,306 193,286 197,001 7,479 7,698 7,701 7,569 3.9 3.9 4.0 3.8

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,891 50,586 50,130 50,733 2,546 2,486 2,764 2,454 5.1 4.9 5.5 4.8

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,917 56,160 56,192 56,943 2,677 2,383 2,874 2,460 4.8 4.2 5.1 4.3

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,698 180,345 181,323 180,190 8,356 7,721 8,920 7,573 4.6 4.3 4.9 4.2

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166,075 168,890 167,798 169,277 8,220 8,868 9,039 8,527 4.9 5.3 5.4 5.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,602 112,581 111,527 112,603 4,424 3,965 4,715 3,929 4.0 3.5 4.2 3.5

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,370,504 3,366,755 3,393,074 3,378,649 104,423 95,452 112,491 101,383 3.1 2.8 3.3 3.0

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 79,820 79,377 80,893 80,056 2,509 2,147 2,973 2,493 3.1 2.7 3.7 3.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,057 45,587 45,399 45,608 1,012 911 1,106 988 2.2 2.0 2.4 2.2

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Indiana - Continued

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 115,129 115,817 116,099 116,133 2,834 3,103 3,172 3,210 2.5 2.7 2.7 2.8

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 164,742 164,771 165,713 164,071 4,831 4,432 5,143 4,718 2.9 2.7 3.1 2.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 216,155 219,225 219,048 221,577 5,962 5,729 6,646 7,216 2.8 2.6 3.0 3.3

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,060,309 1,062,004 1,066,591 1,062,325 31,490 27,857 33,614 29,105 3.0 2.6 3.2 2.7

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,095 37,654 37,350 37,656 1,215 1,191 1,350 1,207 3.3 3.2 3.6 3.2

Lafayette-West Lafayette. . . . . . . . . . . . . . 111,868 108,514 113,795 110,171 3,004 2,717 3,574 3,079 2.7 2.5 3.1 2.8

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,437 47,186 47,608 47,263 1,815 1,709 1,892 1,677 3.8 3.6 4.0 3.5

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,760 53,995 54,782 54,698 1,876 1,711 2,127 1,941 3.4 3.2 3.9 3.5

South Bend-Mishawaka. . . . . . . . . . . . . . . 160,850 160,928 162,196 161,573 5,274 5,354 5,641 5,524 3.3 3.3 3.5 3.4

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 76,977 76,389 77,549 76,848 3,141 2,688 3,306 2,764 4.1 3.5 4.3 3.6

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,684,670 1,758,902 1,695,446 1,773,729 34,932 38,677 31,524 38,106 2.1 2.2 1.9 2.1

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,170 62,781 59,957 63,541 828 930 634 853 1.4 1.5 1.1 1.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 142,754 148,577 143,332 149,779 3,332 3,651 2,988 3,599 2.3 2.5 2.1 2.4

Des Moines-West Des Moines. . . . . . . . . 351,730 374,015 355,900 378,586 7,190 7,987 6,693 7,935 2.0 2.1 1.9 2.1

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,966 57,827 55,766 58,192 1,018 1,147 891 1,127 1.9 2.0 1.6 1.9

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,955 99,959 97,784 100,807 1,696 1,796 1,426 1,614 1.7 1.8 1.5 1.6

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,185 95,605 93,462 96,238 1,891 2,196 1,790 2,307 2.1 2.3 1.9 2.4

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,482 93,012 90,152 93,429 1,925 2,319 1,693 2,337 2.2 2.5 1.9 2.5

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,478,994 1,491,504 1,488,086 1,502,615 44,157 41,041 44,868 42,716 3.0 2.8 3.0 2.8

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,732 65,931 66,491 67,038 1,764 1,655 1,765 1,734 2.7 2.5 2.7 2.6

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,821 48,550 49,305 49,292 1,182 1,158 1,235 1,209 2.4 2.4 2.5 2.5

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118,750 121,112 120,026 122,938 3,635 3,369 3,842 3,518 3.1 2.8 3.2 2.9

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,981 309,892 309,637 311,587 10,332 9,544 10,347 9,792 3.4 3.1 3.3 3.1

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,054,993 2,070,290 2,050,539 2,074,620 84,562 78,396 79,263 76,865 4.1 3.8 3.9 3.7

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,365 84,850 83,503 84,654 2,831 2,827 2,947 2,999 3.4 3.3 3.5 3.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 67,202 67,943 67,085 67,443 2,779 2,532 2,557 2,451 4.1 3.7 3.8 3.6

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 270,510 275,598 271,383 277,212 8,567 8,192 8,521 8,032 3.2 3.0 3.1 2.9

Louisville/Jefferson County. . . . . . . . . . . . . 671,690 675,190 664,268 672,853 27,170 22,653 23,668 21,826 4.0 3.4 3.6 3.2

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,304 55,805 55,735 55,819 2,050 1,906 1,997 1,871 3.6 3.4 3.6 3.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,093,336 2,095,218 2,105,178 2,102,691 102,970 95,158 97,073 99,047 4.9 4.5 4.6 4.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,606 62,332 62,872 62,225 3,392 3,094 3,221 3,128 5.4 5.0 5.1 5.0

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 419,065 419,268 419,725 421,440 18,540 17,560 17,505 18,166 4.4 4.2 4.2 4.3

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,220 54,756 54,306 55,011 2,992 2,805 2,757 2,867 5.5 5.1 5.1 5.2

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 87,819 85,686 87,597 85,422 4,303 3,799 4,060 3,940 4.9 4.4 4.6 4.6

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,606 211,988 212,434 212,513 10,356 9,465 9,781 9,877 4.9 4.5 4.6 4.6

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 113,498 113,460 114,405 113,958 4,351 4,262 4,061 4,335 3.8 3.8 3.5 3.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,716 78,200 79,544 78,320 4,190 3,969 4,056 4,204 5.3 5.1 5.1 5.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . 591,335 598,250 598,756 602,235 28,105 25,155 26,182 26,347 4.8 4.2 4.4 4.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 186,762 183,114 186,718 183,818 9,659 8,951 9,269 9,476 5.2 4.9 5.0 5.2

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 697,191 688,370 699,745 692,392 19,790 15,506 20,500 16,376 2.8 2.3 2.9 2.4

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,085 70,614 72,269 71,602 2,075 1,588 2,208 1,740 2.9 2.2 3.1 2.4

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,638 54,797 56,399 55,716 1,606 1,291 1,653 1,370 2.9 2.4 2.9 2.5

Portland-South Portland. . . . . . . . . . . . . . . 209,555 207,244 209,715 209,620 5,052 3,982 5,248 4,255 2.4 1.9 2.5 2.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,185,520 3,266,964 3,198,764 3,299,699 113,462 109,198 115,284 106,909 3.6 3.3 3.6 3.2

Baltimore-Columbia-Towson. . . . . . . . . . . 1,486,958 1,533,250 1,496,052 1,549,173 53,966 52,043 54,728 51,009 3.6 3.4 3.7 3.3

California-Lexington Park. . . . . . . . . . . . . . 54,891 55,880 55,244 56,692 1,848 1,715 1,856 1,668 3.4 3.1 3.4 2.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,139 45,535 44,515 45,818 2,067 2,362 2,068 2,283 4.7 5.2 4.6 5.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,199 133,599 131,799 136,102 5,028 4,449 5,027 4,458 3.9 3.3 3.8 3.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,795,770 3,816,437 3,817,350 3,840,588 115,381 110,593 104,354 94,491 3.0 2.9 2.7 2.5

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 131,177 131,659 127,539 127,840 3,942 3,834 3,680 3,412 3.0 2.9 2.9 2.7

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,799,770 2,819,538 2,821,289 2,845,075 78,666 75,533 71,261 65,227 2.8 2.7 2.5 2.3

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 81,465 82,022 82,000 82,474 2,762 2,647 2,513 2,272 3.4 3.2 3.1 2.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,996 86,506 86,114 86,348 3,832 3,602 3,452 3,178 4.5 4.2 4.0 3.7

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,312 43,308 43,365 43,303 1,511 1,459 1,396 1,244 3.5 3.4 3.2 2.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 380,281 385,376 384,172 388,635 14,083 13,709 12,769 11,865 3.7 3.6 3.3 3.1

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 360,122 358,167 362,453 361,205 11,893 11,537 10,906 9,991 3.3 3.2 3.0 2.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,882,449 4,943,788 4,909,341 4,941,096 172,631 184,659 181,296 174,138 3.5 3.7 3.7 3.5

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 192,394 194,707 195,442 195,795 5,404 5,841 5,517 4,991 2.8 3.0 2.8 2.5

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 61,736 61,758 62,506 61,938 2,181 2,400 2,174 2,184 3.5 3.9 3.5 3.5

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,412 49,327 49,815 49,342 1,786 1,956 1,788 2,031 3.6 4.0 3.6 4.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,139,652 2,177,830 2,149,643 2,174,309 84,818 89,540 93,159 81,543 4.0 4.1 4.3 3.8

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178,422 181,414 180,469 184,316 7,063 7,708 7,110 8,843 4.0 4.2 3.9 4.8

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 570,883 574,621 575,240 574,548 14,728 16,138 14,604 14,212 2.6 2.8 2.5 2.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,874 73,404 73,850 73,210 2,372 2,514 2,372 2,412 3.3 3.4 3.2 3.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 167,062 168,170 168,725 168,955 5,121 5,675 5,069 5,198 3.1 3.4 3.0 3.1

Lansing-East Lansing. . . . . . . . . . . . . . . . . 245,816 248,908 249,413 252,777 7,091 7,804 7,109 9,110 2.9 3.1 2.9 3.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,925 39,967 40,098 39,743 1,254 1,347 1,252 1,246 3.1 3.4 3.1 3.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,076 74,900 76,181 75,118 2,629 2,489 2,971 2,210 3.5 3.3 3.9 2.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 76,818 77,830 77,167 77,897 2,892 3,060 2,906 2,802 3.8 3.9 3.8 3.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 72,431 73,494 72,430 73,061 2,517 2,605 2,489 2,282 3.5 3.5 3.4 3.1

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85,363 86,190 86,163 86,955 3,306 3,526 3,255 4,120 3.9 4.1 3.8 4.7

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,062,746 3,122,799 3,077,928 3,138,214 70,277 77,470 68,733 79,545 2.3 2.5 2.2 2.5

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,028 144,395 142,608 145,454 3,921 4,350 3,945 4,549 2.8 3.0 2.8 3.1

Mankato-North Mankato. . . . . . . . . . . . . . . 61,144 62,870 62,681 64,731 1,249 1,390 1,147 1,293 2.0 2.2 1.8 2.0

Minneapolis-St. Paul-Bloomington. . . . . . 1,999,031 2,029,583 2,003,584 2,032,943 45,348 49,898 43,886 51,346 2.3 2.5 2.2 2.5

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,176 126,100 123,772 127,237 2,380 2,630 2,328 2,634 1.9 2.1 1.9 2.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,326 114,723 112,734 115,506 2,522 2,791 2,441 2,671 2.3 2.4 2.2 2.3

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,265,313 1,289,580 1,270,344 1,283,542 54,900 71,742 54,552 66,433 4.3 5.6 4.3 5.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 161,810 165,681 162,291 165,995 7,442 9,347 7,300 8,626 4.6 5.6 4.5 5.2

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,256 70,634 69,102 70,947 2,567 3,417 2,568 3,093 3.8 4.8 3.7 4.4

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266,664 272,099 269,116 272,124 10,221 13,356 10,237 12,353 3.8 4.9 3.8 4.5

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,034,664 3,125,516 3,045,583 3,141,572 78,485 73,820 70,459 78,975 2.6 2.4 2.3 2.5

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,473 48,936 47,736 49,574 1,194 1,186 1,056 1,231 2.5 2.4 2.2 2.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,552 99,671 98,061 100,271 1,851 1,647 1,549 1,716 1.9 1.7 1.6 1.7

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 72,668 74,651 73,192 75,209 1,564 1,351 1,352 1,431 2.2 1.8 1.8 1.9

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,383 85,493 83,833 86,402 1,979 1,902 1,751 2,058 2.4 2.2 2.1 2.4

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,129,354 1,154,747 1,134,437 1,162,194 31,996 28,644 30,859 31,025 2.8 2.5 2.7 2.7

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,384 63,760 63,085 64,282 1,490 1,338 1,369 1,471 2.4 2.1 2.2 2.3

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,452,550 1,500,313 1,455,409 1,501,055 42,891 38,621 41,198 40,877 3.0 2.6 2.8 2.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,016 237,463 230,389 237,353 5,247 5,104 4,475 5,254 2.3 2.1 1.9 2.2

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528,163 531,565 528,418 534,345 16,612 15,756 17,784 16,642 3.1 3.0 3.4 3.1

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,813 86,830 86,558 86,725 2,612 2,483 2,698 2,529 3.0 2.9 3.1 2.9

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,682 37,769 37,765 37,951 1,248 1,157 1,249 1,191 3.3 3.1 3.3 3.1

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,389 64,485 63,595 64,959 1,745 1,729 1,898 1,810 2.8 2.7 3.0 2.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,013,831 1,036,023 1,022,354 1,046,966 25,238 29,521 25,751 31,102 2.5 2.8 2.5 3.0

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,985 44,252 43,288 44,810 1,105 1,279 1,116 1,966 2.5 2.9 2.6 4.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,555 185,302 183,949 186,917 4,285 4,978 4,350 5,053 2.3 2.7 2.4 2.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 483,647 502,102 488,718 509,345 12,384 13,997 12,330 14,091 2.6 2.8 2.5 2.8

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,511,305 1,558,504 1,516,177 1,566,286 67,608 59,196 64,664 58,314 4.5 3.8 4.3 3.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,721 26,818 25,709 26,975 1,091 961 1,062 916 4.2 3.6 4.1 3.4

Las Vegas-Henderson-Paradise. . . . . . . . 1,106,442 1,133,949 1,110,177 1,137,788 52,701 45,715 50,049 45,143 4.8 4.0 4.5 4.0

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254,776 270,051 256,884 272,438 8,676 7,942 8,518 7,739 3.4 2.9 3.3 2.8

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 757,972 770,546 759,725 774,289 16,354 18,093 15,191 17,912 2.2 2.3 2.0 2.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 84,812 85,743 85,611 86,797 1,705 1,896 1,603 1,835 2.0 2.2 1.9 2.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 119,295 121,068 120,021 122,216 2,515 2,737 2,333 2,725 2.1 2.3 1.9 2.2

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 77,106 78,415 77,403 78,492 1,578 1,601 1,529 1,650 2.0 2.0 2.0 2.1

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,383,803 4,507,912 4,412,319 4,557,982 164,888 144,697 154,190 150,031 3.8 3.2 3.5 3.3

Atlantic City-Hammonton. . . . . . . . . . . . . . 121,338 124,140 119,829 123,565 5,767 5,286 5,558 5,637 4.8 4.3 4.6 4.6

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,752 52,179 43,479 47,152 2,222 1,936 2,485 2,373 4.7 3.7 5.7 5.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194,868 202,411 196,542 205,260 6,561 6,025 6,125 6,102 3.4 3.0 3.1 3.0

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 63,974 66,219 64,062 67,374 3,510 3,084 3,179 3,248 5.5 4.7 5.0 4.8

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 939,873 963,823 948,513 968,393 46,039 43,703 46,182 43,833 4.9 4.5 4.9 4.5

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 428,686 440,138 433,428 443,364 20,471 19,345 20,466 19,279 4.8 4.4 4.7 4.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 52,569 53,749 53,202 54,268 2,964 2,852 2,944 2,843 5.6 5.3 5.5 5.2

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 97,040 99,001 97,751 99,602 5,158 4,958 5,163 4,941 5.3 5.0 5.3 5.0

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,945 74,760 74,709 74,164 3,066 2,748 3,114 2,748 4.1 3.7 4.2 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,547,754 9,539,775 9,603,222 9,582,441 347,563 353,170 347,452 374,217 3.6 3.7 3.6 3.9

Albany-Schenectady-Troy. . . . . . . . . . . . . . 449,079 447,840 455,703 451,024 14,886 15,357 14,368 15,504 3.3 3.4 3.2 3.4

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,187 106,376 108,095 106,841 4,205 4,394 4,063 4,459 3.9 4.1 3.8 4.2

Buffalo-Cheektowaga-Niagara Falls. . . . . 544,059 544,771 546,329 545,478 20,503 21,381 19,978 21,983 3.8 3.9 3.7 4.0

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,333 35,057 35,258 35,174 1,427 1,393 1,368 1,411 4.0 4.0 3.9 4.0

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,748 59,739 59,607 59,143 1,982 2,064 1,972 2,129 3.3 3.5 3.3 3.6

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,137 52,176 51,467 52,370 1,649 1,830 1,593 1,825 3.3 3.5 3.1 3.5

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,912 89,365 89,936 89,966 2,980 3,053 2,874 3,071 3.4 3.4 3.2 3.4

New York-Newark-Jersey City. . . . . . . . . . 9,872,871 9,941,535 9,937,952 10,024,877 361,265 346,125 356,047 368,904 3.7 3.5 3.6 3.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 523,460 524,328 526,171 526,878 18,858 20,052 18,247 20,260 3.6 3.8 3.5 3.8

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,398 310,345 309,179 311,819 11,017 12,083 10,697 12,126 3.6 3.9 3.5 3.9

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 128,171 128,249 129,561 128,421 4,805 5,025 4,698 5,064 3.7 3.9 3.6 3.9

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,585 44,711 44,263 44,294 1,845 2,088 1,834 2,156 4.1 4.7 4.1 4.9

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,965,574 5,122,133 5,007,407 5,153,112 172,031 178,368 181,089 185,142 3.5 3.5 3.6 3.6

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 234,371 245,648 236,145 247,651 6,291 6,732 6,727 7,056 2.7 2.7 2.8 2.8

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,304 82,595 81,364 83,283 2,563 2,793 2,697 2,877 3.2 3.4 3.3 3.5

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,336,399 1,380,941 1,347,774 1,390,702 43,025 42,845 44,938 44,840 3.2 3.1 3.3 3.2

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 297,513 305,460 299,396 306,698 8,980 9,417 9,517 9,843 3.0 3.1 3.2 3.2

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 145,954 150,636 148,334 150,961 6,855 6,972 7,173 7,228 4.7 4.6 4.8 4.8

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,179 52,927 52,831 53,103 2,028 1,967 2,104 2,074 3.9 3.7 4.0 3.9

Greensboro-High Point. . . . . . . . . . . . . . . . 367,301 374,487 370,424 377,639 13,046 13,839 13,763 14,293 3.6 3.7 3.7 3.8

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,325 91,533 89,516 91,701 3,305 3,556 3,469 3,629 3.7 3.9 3.9 4.0

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 174,023 176,326 175,686 177,719 5,353 5,912 5,733 6,184 3.1 3.4 3.3 3.5

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 62,694 64,648 64,242 64,865 3,076 2,667 3,221 2,867 4.9 4.1 5.0 4.4

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,658 51,923 51,437 51,946 2,043 1,869 2,242 1,924 4.0 3.6 4.4 3.7

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 708,466 736,498 714,682 741,411 21,327 22,514 22,561 23,302 3.0 3.1 3.2 3.1

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 64,065 64,609 65,370 65,692 3,188 3,128 3,248 3,209 5.0 4.8 5.0 4.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 146,351 155,209 149,297 156,588 5,746 4,869 5,842 5,077 3.9 3.1 3.9 3.2

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 325,444 337,136 328,455 339,479 10,603 11,172 11,258 11,617 3.3 3.3 3.4 3.4

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 403,172 403,489 402,879 404,046 8,020 7,829 7,157 6,951 2.0 1.9 1.8 1.7

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,333 67,124 66,733 67,162 1,407 1,358 1,272 1,230 2.1 2.0 1.9 1.8

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,031 137,669 136,045 138,070 2,603 2,668 2,338 2,262 1.9 1.9 1.7 1.6

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 53,896 54,604 54,312 55,056 1,118 1,083 964 1,006 2.1 2.0 1.8 1.8

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,730,788 5,811,297 5,774,153 5,828,745 238,820 240,276 246,996 227,965 4.2 4.1 4.3 3.9

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,844 358,228 359,552 359,941 14,869 15,329 15,539 14,828 4.2 4.3 4.3 4.1

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 197,329 200,209 200,307 202,081 8,680 8,740 9,099 8,785 4.4 4.4 4.5 4.3

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113,174 1,145,596 1,123,610 1,148,340 41,509 42,183 42,602 40,783 3.7 3.7 3.8 3.6

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,037,428 1,042,674 1,035,215 1,034,543 46,577 42,193 46,825 33,520 4.5 4.0 4.5 3.2

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,075,678 1,098,320 1,089,855 1,104,529 39,430 40,774 40,923 39,006 3.7 3.7 3.8 3.5

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383,365 389,261 386,105 393,049 15,747 16,223 16,357 16,376 4.1 4.2 4.2 4.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,486 48,290 48,034 48,538 1,907 1,971 1,999 1,936 4.0 4.1 4.2 4.0

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,275 53,138 52,608 53,283 2,215 2,318 2,359 2,265 4.2 4.4 4.5 4.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,652 63,520 63,368 64,638 2,651 2,680 2,770 3,246 4.2 4.2 4.4 5.0

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,038 301,016 302,636 304,406 13,728 13,006 14,240 12,836 4.6 4.3 4.7 4.2

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 49,942 50,424 50,272 50,517 2,675 2,811 2,730 2,869 5.4 5.6 5.4 5.7

Youngstown-Warren-Boardman. . . . . . . . 238,530 238,489 240,096 238,518 12,501 13,160 13,085 13,118 5.2 5.5 5.4 5.5

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,834,606 1,857,552 1,844,742 1,856,561 53,843 57,971 56,342 61,510 2.9 3.1 3.1 3.3

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,068 27,037 27,276 27,180 719 782 737 785 2.7 2.9 2.7 2.9

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,436 51,443 51,024 51,361 1,758 1,833 1,897 1,847 3.5 3.6 3.7 3.6

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 680,037 691,711 684,926 689,747 18,659 19,980 19,361 20,304 2.7 2.9 2.8 2.9

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 474,840 479,546 478,148 480,125 14,247 15,056 15,072 16,967 3.0 3.1 3.2 3.5

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,112,722 2,124,764 2,117,663 2,118,914 77,800 82,620 83,429 74,575 3.7 3.9 3.9 3.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,246 58,713 58,855 59,248 2,479 2,654 2,640 2,393 4.3 4.5 4.5 4.0

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 96,039 98,011 95,831 97,379 3,402 3,563 3,689 3,277 3.5 3.6 3.8 3.4

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,591 47,351 49,013 48,869 1,464 1,672 1,556 1,344 3.1 3.5 3.2 2.8

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,940 179,758 182,153 181,209 7,455 7,797 7,904 6,995 4.1 4.3 4.3 3.9

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 36,213 36,666 36,382 36,450 1,688 1,744 1,846 1,632 4.7 4.8 5.1 4.5

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105,704 106,797 106,374 106,847 4,353 4,345 4,591 3,885 4.1 4.1 4.3 3.6

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,314,910 1,333,540 1,323,190 1,336,318 46,360 50,170 49,507 47,017 3.5 3.8 3.7 3.5

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 202,854 203,540 203,005 202,273 7,783 8,426 8,332 7,553 3.8 4.1 4.1 3.7

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,414,056 6,522,663 6,444,551 6,571,225 249,244 255,958 248,016 284,607 3.9 3.9 3.8 4.3

Allentown-Bethlehem-Easton. . . . . . . . . . . 434,215 441,676 439,216 447,705 18,042 17,626 17,811 19,213 4.2 4.0 4.1 4.3

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,095 60,474 58,745 60,615 2,192 2,390 2,210 2,690 3.7 4.0 3.8 4.4

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,609 43,197 42,701 43,515 1,619 1,603 1,568 1,790 3.8 3.7 3.7 4.1

Chambersburg-Waynesboro. . . . . . . . . . . 77,286 79,115 76,976 79,421 2,596 2,654 2,540 3,000 3.4 3.4 3.3 3.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,496 82,919 81,761 83,780 4,027 4,066 3,964 4,484 4.9 4.9 4.8 5.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,514 130,825 129,549 131,188 5,070 5,030 5,191 5,704 3.9 3.8 4.0 4.3

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,338 56,076 55,105 56,079 1,695 1,597 1,677 1,809 3.1 2.8 3.0 3.2

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 297,676 298,960 296,672 300,533 10,081 10,519 9,960 11,594 3.4 3.5 3.4 3.9

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 57,816 58,633 58,404 59,591 2,556 2,596 2,556 2,882 4.4 4.4 4.4 4.8

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 282,442 285,781 281,454 285,702 8,725 8,916 8,674 9,935 3.1 3.1 3.1 3.5

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,301 73,118 70,870 73,247 2,449 2,633 2,445 2,827 3.4 3.6 3.4 3.9

Philadelphia-Camden-Wilmington. . . . . . . 3,071,271 3,143,988 3,096,866 3,176,237 121,262 121,263 118,481 130,650 3.9 3.9 3.8 4.1

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,198,202 1,212,878 1,208,178 1,222,456 44,719 46,324 44,687 52,068 3.7 3.8 3.7 4.3

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,334 217,138 212,363 218,080 8,238 8,563 8,138 9,455 3.9 3.9 3.8 4.3

Scranton--Wilkes-Barre--Hazleton. . . . . . . 274,889 277,152 276,991 280,620 12,578 12,951 12,575 14,435 4.6 4.7 4.5 5.1

State College. . . . . . . . . . . . . . . . . . . . . . . . 81,008 83,246 82,361 84,542 2,409 2,492 2,367 2,790 3.0 3.0 2.9 3.3

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 56,703 57,533 56,607 57,771 2,396 2,413 2,292 2,617 4.2 4.2 4.0 4.5

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 233,317 236,016 233,944 237,724 8,310 8,262 8,178 9,194 3.6 3.5 3.5 3.9

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 556,243 555,580 556,208 558,187 19,927 18,240 19,182 16,156 3.6 3.3 3.4 2.9

Providence-Warwick. . . . . . . . . . . . . . . . . . 690,039 690,756 691,368 694,805 24,635 22,930 23,416 20,228 3.6 3.3 3.4 2.9

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,316,250 2,362,736 2,330,794 2,379,312 75,024 42,459 75,373 50,111 3.2 1.8 3.2 2.1

Charleston-North Charleston. . . . . . . . . . . 379,444 389,922 385,901 389,984 10,426 5,772 10,462 6,888 2.7 1.5 2.7 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 398,315 401,073 399,763 403,798 12,356 6,904 12,397 7,969 3.1 1.7 3.1 2.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,738 97,017 96,054 97,541 3,521 1,944 3,476 2,233 3.7 2.0 3.6 2.3

Greenville-Anderson-Mauldin. . . . . . . . . . . 422,758 430,780 425,543 433,626 12,372 7,024 12,545 8,391 2.9 1.6 2.9 1.9

Hilton Head Island-Bluffton-Beaufort. . . . 87,182 90,722 87,369 91,731 2,567 1,418 2,648 1,733 2.9 1.6 3.0 1.9

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,972 207,548 197,538 207,725 8,101 5,448 8,343 6,153 4.1 2.6 4.2 3.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 159,229 164,246 160,137 165,003 4,730 2,697 4,772 3,187 3.0 1.6 3.0 1.9

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,037 44,299 44,164 44,911 1,651 951 1,638 1,114 3.7 2.1 3.7 2.5

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 457,620 467,128 461,575 470,748 11,976 12,794 12,065 13,366 2.6 2.7 2.6 2.8

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 74,258 76,177 74,560 75,854 2,088 2,229 2,129 2,281 2.8 2.9 2.9 3.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 150,927 157,052 153,741 159,069 3,320 3,639 3,363 3,779 2.2 2.3 2.2 2.4

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,238,611 3,348,862 3,259,609 3,355,432 108,475 104,662 106,795 106,353 3.3 3.1 3.3 3.2

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 270,765 277,417 272,203 277,205 8,941 8,389 9,317 8,375 3.3 3.0 3.4 3.0

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 114,427 119,513 115,031 119,161 4,662 4,611 4,434 4,775 4.1 3.9 3.9 4.0

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,991 58,556 57,630 58,733 2,009 1,988 1,982 1,892 3.5 3.4 3.4 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,874 66,467 64,416 66,325 2,315 2,263 2,275 2,193 3.6 3.4 3.5 3.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 90,746 93,560 91,597 93,640 3,315 3,186 3,218 3,070 3.7 3.4 3.5 3.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,352 141,376 136,856 142,139 4,669 4,640 4,554 4,626 3.4 3.3 3.3 3.3

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421,356 437,256 422,838 437,833 13,192 12,612 13,058 12,695 3.1 2.9 3.1 2.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 630,566 648,021 636,392 646,985 25,207 26,322 24,943 24,868 4.0 4.1 3.9 3.8

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,959 52,836 51,558 53,130 1,841 1,856 1,783 1,853 3.6 3.5 3.5 3.5

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,044,488 1,081,323 1,052,647 1,087,653 28,024 26,376 27,312 27,906 2.7 2.4 2.6 2.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,849,870 14,113,138 13,901,088 14,189,091 512,839 471,527 489,204 467,991 3.7 3.3 3.5 3.3

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,989 77,137 77,153 77,610 2,475 2,274 2,397 2,251 3.2 2.9 3.1 2.9

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,430 131,978 132,132 133,028 3,538 3,290 3,397 3,241 2.7 2.5 2.6 2.4

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,200,200 1,220,394 1,203,065 1,230,512 34,647 31,932 33,376 31,384 2.9 2.6 2.8 2.6

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 176,073 177,084 177,316 177,475 9,941 9,337 9,074 8,829 5.6 5.3 5.1 5.0

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 164,420 164,762 163,865 164,335 9,345 8,507 8,705 8,466 5.7 5.2 5.3 5.2

College Station-Bryan. . . . . . . . . . . . . . . . . 134,390 135,758 136,391 138,876 3,815 3,572 3,670 3,611 2.8 2.6 2.7 2.6

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 206,181 208,114 207,479 209,448 9,716 8,451 8,945 8,248 4.7 4.1 4.3 3.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,908,721 4,010,417 3,928,885 4,025,199 132,835 123,222 128,366 123,935 3.4 3.1 3.3 3.1

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361,408 363,919 362,407 366,308 14,953 13,529 14,312 13,546 4.1 3.7 3.9 3.7

Houston-The Woodlands-Sugar Land. . . 3,385,469 3,455,713 3,403,759 3,476,739 139,555 124,698 131,468 123,054 4.1 3.6 3.9 3.5

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 175,539 178,862 176,049 180,188 7,113 6,373 6,956 6,344 4.1 3.6 4.0 3.5

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,247 117,816 116,413 118,389 4,138 3,982 4,068 4,048 3.6 3.4 3.5 3.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,848 97,150 98,232 97,664 3,839 3,545 3,761 3,513 3.9 3.6 3.8 3.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,366 164,188 162,976 165,169 4,832 4,411 4,587 4,375 3.0 2.7 2.8 2.6

McAllen-Edinburg-Mission. . . . . . . . . . . . . 344,547 352,762 345,285 356,225 20,964 20,614 19,020 19,803 6.1 5.8 5.5 5.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,143 107,962 107,454 108,112 2,153 2,208 2,106 2,246 2.0 2.0 2.0 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,184 87,340 86,853 87,338 2,144 2,304 2,057 2,372 2.5 2.6 2.4 2.7

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,816 56,103 55,893 56,244 1,736 1,601 1,683 1,615 3.1 2.9 3.0 2.9

San Antonio-New Braunfels. . . . . . . . . . . . 1,190,400 1,215,238 1,191,437 1,228,419 38,527 35,928 37,225 35,715 3.2 3.0 3.1 2.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 63,609 64,586 63,863 65,029 1,994 1,901 1,942 1,877 3.1 2.9 3.0 2.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,016 64,761 65,123 64,988 3,384 2,643 3,149 2,583 5.2 4.1 4.8 4.0

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,417 108,312 108,396 108,792 3,746 3,438 3,797 3,412 3.5 3.2 3.5 3.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,734 46,176 46,701 46,267 1,678 1,515 1,597 1,521 3.6 3.3 3.4 3.3

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,575 126,702 125,360 127,301 4,260 3,983 4,108 3,957 3.4 3.1 3.3 3.1

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,396 65,560 65,741 65,719 2,115 1,949 2,029 1,926 3.2 3.0 3.1 2.9

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,575,536 1,612,660 1,581,739 1,620,643 46,039 32,753 45,535 29,939 2.9 2.0 2.9 1.8

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,700 72,354 71,851 73,559 1,726 1,208 1,715 1,117 2.4 1.7 2.4 1.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 325,273 336,069 327,041 337,225 9,763 6,766 9,649 6,085 3.0 2.0 3.0 1.8

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 308,745 314,980 310,095 318,381 8,378 5,871 8,153 5,393 2.7 1.9 2.6 1.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 74,607 77,061 75,372 77,180 2,359 1,791 2,337 1,592 3.2 2.3 3.1 2.1

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 652,937 666,526 655,548 669,347 18,927 13,623 18,720 12,442 2.9 2.0 2.9 1.9

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343,991 339,404 344,338 339,367 8,567 7,532 6,419 5,426 2.5 2.2 1.9 1.6

Burlington-South Burlington. . . . . . . . . . . . 126,742 125,845 125,505 126,489 2,736 2,399 2,050 1,685 2.2 1.9 1.6 1.3

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,315,374 4,414,738 4,332,241 4,444,906 118,118 108,209 115,281 107,036 2.7 2.5 2.7 2.4

Blacksburg-Christiansburg-Radford. . . . . 90,745 92,163 90,553 89,398 2,560 2,387 2,479 2,298 2.8 2.6 2.7 2.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 120,469 123,805 119,483 123,015 2,959 2,694 2,917 2,622 2.5 2.2 2.4 2.1

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 66,004 67,821 66,412 68,820 1,779 1,560 1,732 1,484 2.7 2.3 2.6 2.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,444 124,971 122,491 125,854 3,772 3,566 3,632 3,456 3.1 2.9 3.0 2.7

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 672,021 687,233 676,836 692,607 19,764 17,969 19,220 17,868 2.9 2.6 2.8 2.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,381 160,261 156,853 161,350 4,165 3,944 4,071 3,914 2.7 2.5 2.6 2.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,221 60,996 59,746 61,652 1,498 1,360 1,506 1,394 2.5 2.2 2.5 2.3

Virginia Beach-Norfolk-Newport News. . . 842,466 860,603 845,987 862,243 25,733 23,526 25,012 23,403 3.1 2.7 3.0 2.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,548 74,410 72,448 75,453 1,878 1,712 1,868 1,713 2.6 2.3 2.6 2.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,805,427 3,935,912 3,829,284 3,960,349 151,394 161,428 156,123 160,530 4.0 4.1 4.1 4.1

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,181 115,533 113,257 117,985 4,494 5,557 4,834 5,769 4.1 4.8 4.3 4.9

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 121,974 127,543 124,369 130,702 5,014 5,612 5,309 5,824 4.1 4.4 4.3 4.5

Kennewick-Richland. . . . . . . . . . . . . . . . . . 140,277 147,992 141,665 148,636 5,914 6,812 6,416 7,203 4.2 4.6 4.5 4.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,827 47,035 46,206 47,887 2,288 2,732 2,435 2,847 5.0 5.8 5.3 5.9

Mount Vernon-Anacortes. . . . . . . . . . . . . . 60,574 62,662 61,595 63,783 2,695 3,218 2,895 3,365 4.4 5.1 4.7 5.3

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 137,520 143,081 139,676 146,215 5,678 6,632 6,002 7,014 4.1 4.6 4.3 4.8

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,117,773 2,189,689 2,117,874 2,188,755 78,754 76,970 77,856 71,521 3.7 3.5 3.7 3.3

Spokane-Spokane Valley. . . . . . . . . . . . . . 265,287 277,006 271,270 283,822 11,819 13,343 12,474 14,030 4.5 4.8 4.6 4.9

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 31,659 32,214 32,843 33,957 1,208 1,448 1,318 1,523 3.8 4.5 4.0 4.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 70,507 71,730 69,274 70,364 2,316 2,770 2,662 2,936 3.3 3.9 3.8 4.2

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,122 138,881 134,495 137,331 5,687 6,881 6,590 7,299 4.2 5.0 4.9 5.3

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 785,466 806,147 788,391 810,421 35,285 33,630 35,784 36,480 4.5 4.2 4.5 4.5

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,499 46,655 45,610 46,959 2,144 1,991 2,227 2,191 4.7 4.3 4.9 4.7

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,337 93,947 92,340 93,930 4,375 3,946 4,409 4,169 4.7 4.2 4.8 4.4

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 144,981 146,997 145,452 147,244 7,064 6,608 7,014 6,683 4.9 4.5 4.8 4.5

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 68,786 70,115 69,548 70,603 2,722 2,325 2,724 2,463 4.0 3.3 3.9 3.5

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 37,936 38,892 37,962 39,165 1,760 1,705 1,814 1,934 4.6 4.4 4.8 4.9

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,859 68,375 67,715 69,331 2,873 3,205 2,885 3,586 4.3 4.7 4.3 5.2

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,112,050 3,108,570 3,121,149 3,110,345 73,637 91,401 74,734 85,869 2.4 2.9 2.4 2.8

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,239 129,340 130,174 128,883 2,846 3,349 2,863 3,110 2.2 2.6 2.2 2.4

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 91,702 91,767 92,637 92,370 1,935 2,490 2,035 2,375 2.1 2.7 2.2 2.6

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,500 57,135 57,705 56,945 1,116 1,538 1,180 1,400 1.9 2.7 2.0 2.5

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,294 175,785 175,833 175,832 3,790 4,888 3,879 4,505 2.2 2.8 2.2 2.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,703 85,682 84,514 85,433 2,198 2,968 2,154 2,722 2.6 3.5 2.5 3.2

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,258 77,756 77,662 78,225 1,506 1,891 1,588 1,771 1.9 2.4 2.0 2.3

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384,983 383,006 386,487 385,954 7,048 8,746 7,515 8,333 1.8 2.3 1.9 2.2

Milwaukee-Waukesha-West Allis. . . . . . . 821,475 823,044 822,019 824,515 22,748 27,634 22,348 25,630 2.8 3.4 2.7 3.1

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 92,097 91,875 92,273 91,883 1,997 2,530 2,068 2,379 2.2 2.8 2.2 2.6

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,892 98,813 98,681 98,607 3,012 3,709 2,876 3,498 3.0 3.8 2.9 3.5

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,771 62,925 62,531 62,830 1,245 1,533 1,290 1,494 2.0 2.4 2.1 2.4

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,991 73,096 73,579 73,385 1,506 1,845 1,560 1,778 2.1 2.5 2.1 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289,631 292,446 289,628 293,213 10,693 9,715 10,831 9,570 3.7 3.3 3.7 3.3

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,365 38,855 39,013 39,284 1,706 1,455 1,734 1,447 4.4 3.7 4.4 3.7

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 46,795 47,426 47,340 48,217 1,732 1,618 1,756 1,569 3.7 3.4 3.7 3.3

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,080,804 1,062,293 1,073,873 1,062,590 93,881 87,206 89,194 95,462 8.7 8.2 8.3 9.0

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 86,225 84,076 85,162 84,852 9,734 8,444 9,152 9,437 11.3 10.0 10.7 11.1

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,711 51,422 51,993 51,982 5,197 4,845 5,188 5,564 10.1 9.4 10.0 10.7

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,933 19,452 19,683 19,483 2,598 2,383 2,449 2,614 13.0 12.3 12.4 13.4

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,492 27,218 27,591 27,413 2,946 2,608 2,860 2,835 10.7 9.6 10.4 10.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,097 90,328 90,008 90,178 10,238 10,514 9,685 11,132 11.2 11.6 10.8 12.3

San German. . . . . . . . . . . . . . . . . . . . . . . . . 35,243 34,704 34,846 34,809 3,972 3,538 3,679 3,865 11.3 10.2 10.6 11.1

San Juan-Carolina-Caguas. . . . . . . . . . . . 728,609 715,041 724,383 712,557 53,827 49,606 51,263 54,514 7.4 6.9 7.1 7.7

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. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan

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

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

NOT SEASONALLY ADJUSTED

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

division1

State, area, and division

Civilian labor force Unemployed

September October Number Percent of labor force

2018 2019 2018 2019p

September October September October

2018 2019 2018 2019p 2018 2019 2018 2019p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,478,378 19,567,536 19,542,699 19,587,530 756,608 690,859 772,789 718,288 3.9 3.5 4.0 3.7

Los Angeles-Long Beach-Anaheim. . . 6,782,795 6,785,155 6,806,284 6,795,446 285,930 269,412 286,727 274,351 4.2 4.0 4.2 4.0

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,630,989 1,631,954 1,640,925 1,633,947 45,179 39,176 46,639 41,326 2.8 2.4 2.8 2.5

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,151,806 5,153,201 5,165,359 5,161,499 240,751 230,236 240,088 233,025 4.7 4.5 4.6 4.5

San Francisco-Oakland-Hayward. . . . . 2,599,544 2,630,673 2,608,606 2,633,595 66,042 57,618 68,309 60,912 2.5 2.2 2.6 2.3

Oakland-Hayward-Berkeley. . . . . . . . 1,418,048 1,430,180 1,422,748 1,431,912 40,617 36,091 42,054 37,939 2.9 2.5 3.0 2.6

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,039,457 1,057,211 1,042,990 1,058,690 22,227 18,800 22,890 20,093 2.1 1.8 2.2 1.9

San Rafael. . . . . . . . . . . . . . . . . . . . . . 142,039 143,282 142,868 142,993 3,198 2,727 3,365 2,880 2.3 1.9 2.4 2.0

District of Columbia. . . . . . . . . . . . . . . . . . . 400,542 407,982 402,446 408,359 22,194 21,705 21,315 21,847 5.5 5.3 5.3 5.3

Washington-Arlington-Alexandria2. . . . 3,381,116 3,460,490 3,393,284 3,490,959 105,536 99,932 104,742 98,547 3.1 2.9 3.1 2.8

Silver Spring-Frederick-Rockville3.. . 686,149 698,241 686,453 703,628 20,690 19,754 20,991 19,250 3.0 2.8 3.1 2.7

Washington-Arlington-Alexandria2.. . 2,694,967 2,762,249 2,706,831 2,787,331 84,846 80,178 83,751 79,297 3.1 2.9 3.1 2.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,280,409 10,532,471 10,305,265 10,565,454 342,076 317,695 340,078 307,338 3.3 3.0 3.3 2.9

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,149,837 3,239,364 3,163,808 3,269,075 109,688 98,630 107,396 94,577 3.5 3.0 3.4 2.9

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,043,978 1,060,747 1,047,301 1,060,485 32,319 30,084 32,321 29,607 3.1 2.8 3.1 2.8

Miami-Miami Beach-Kendall. . . . . . . 1,376,079 1,433,319 1,381,547 1,462,938 52,205 44,799 50,415 42,483 3.8 3.1 3.6 2.9

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 729,780 745,298 734,960 745,652 25,164 23,747 24,660 22,487 3.4 3.2 3.4 3.0

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,435,664 6,482,734 6,477,162 6,483,880 248,531 230,385 263,231 235,466 3.9 3.6 4.1 3.6

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,842,910 4,870,597 4,877,420 4,865,666 173,982 163,300 182,549 168,946 3.6 3.4 3.7 3.5

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,705,981 3,721,644 3,732,976 3,714,650 128,020 120,786 134,188 126,791 3.5 3.2 3.6 3.4

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 328,885 332,334 331,020 333,200 14,016 12,399 15,104 12,448 4.3 3.7 4.6 3.7

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 342,113 342,217 343,807 343,650 14,322 13,447 14,617 13,210 4.2 3.9 4.3 3.8

Lake County-Kenosha County2. . . . 465,931 474,402 469,617 474,166 17,624 16,668 18,640 16,497 3.8 3.5 4.0 3.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,795,770 3,816,437 3,817,350 3,840,588 115,381 110,593 104,354 94,491 3.0 2.9 2.7 2.5

Boston-Cambridge-Nashua2. . . . . . . . . 2,799,770 2,819,538 2,821,289 2,845,075 78,666 75,533 71,261 65,227 2.8 2.7 2.5 2.3

Boston-Cambridge-Newton. . . . . . . . 1,672,618 1,685,084 1,686,619 1,702,228 44,999 42,914 40,597 36,354 2.7 2.5 2.4 2.1

Brockton-Bridgewater-Easton. . . . . . 110,918 111,573 111,814 112,501 3,847 3,591 3,446 3,061 3.5 3.2 3.1 2.7

Framingham. . . . . . . . . . . . . . . . . . . . . 162,457 162,639 163,791 164,138 4,190 3,983 3,837 3,414 2.6 2.4 2.3 2.1

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 117,299 118,610 117,900 118,917 3,250 3,239 3,037 2,962 2.8 2.7 2.6 2.5

Lawrence-Methuen Town-Salem2.. . 98,809 97,807 99,233 98,577 4,080 3,798 3,652 3,384 4.1 3.9 3.7 3.4

Lowell-Billerica-Chelmsford2. . . . . . . 196,730 197,941 197,969 199,145 5,865 5,663 5,316 4,891 3.0 2.9 2.7 2.5

Lynn-Saugus-Marblehead. . . . . . . . . 86,901 87,336 87,157 87,999 2,745 2,579 2,468 2,227 3.2 3.0 2.8 2.5

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 172,806 175,932 173,942 177,599 4,141 4,445 3,934 4,407 2.4 2.5 2.3 2.5

Peabody-Salem-Beverly. . . . . . . . . . . 94,325 95,185 95,224 96,208 2,753 2,594 2,468 2,211 2.9 2.7 2.6 2.3

Taunton-Middleborough-Norton. . . . 86,907 87,431 87,640 87,763 2,796 2,727 2,506 2,316 3.2 3.1 2.9 2.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,882,449 4,943,788 4,909,341 4,941,096 172,631 184,659 181,296 174,138 3.5 3.7 3.7 3.5

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,139,652 2,177,830 2,149,643 2,174,309 84,818 89,540 93,159 81,543 4.0 4.1 4.3 3.8

Detroit-Dearborn-Livonia. . . . . . . . . . 797,051 810,992 802,052 808,119 38,591 39,644 43,101 36,384 4.8 4.9 5.4 4.5

Warren-Troy-Farmington Hills. . . . . . 1,342,601 1,366,838 1,347,592 1,366,190 46,227 49,896 50,059 45,159 3.4 3.7 3.7 3.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,547,754 9,539,775 9,603,222 9,582,441 347,563 353,170 347,452 374,217 3.6 3.7 3.6 3.9

New York-Newark-Jersey City2. . . . . . 9,872,871 9,941,535 9,937,952 10,024,877 361,265 346,125 356,047 368,904 3.7 3.5 3.6 3.7

Dutchess County-Putnam County.. . 194,104 194,945 196,208 196,276 6,444 6,910 6,237 6,989 3.3 3.5 3.2 3.6

Nassau County-Suffolk County. . . . . 1,483,657 1,481,511 1,487,221 1,489,115 48,286 50,687 46,447 51,605 3.3 3.4 3.1 3.5

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,204,337 1,240,467 1,214,580 1,259,132 46,819 41,270 43,587 42,605 3.9 3.3 3.6 3.4

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 6,990,773 7,024,612 7,039,943 7,080,354 259,716 247,258 259,776 267,705 3.7 3.5 3.7 3.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,414,056 6,522,663 6,444,551 6,571,225 249,244 255,958 248,016 284,607 3.9 3.9 3.8 4.3

Philadelphia-Camden-Wilmington2. . . . 3,071,271 3,143,988 3,096,866 3,176,237 121,262 121,263 118,481 130,650 3.9 3.9 3.8 4.1

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 618,847 632,943 623,232 640,858 24,157 21,267 22,455 22,081 3.9 3.4 3.6 3.4

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,070,509 1,095,462 1,077,100 1,102,717 34,847 35,655 34,724 39,538 3.3 3.3 3.2 3.6

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,006,353 1,031,716 1,016,468 1,043,458 48,325 49,817 48,114 54,303 4.8 4.8 4.7 5.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . 375,562 383,867 380,066 389,204 13,933 14,524 13,188 14,728 3.7 3.8 3.5 3.8

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,849,870 14,113,138 13,901,088 14,189,091 512,839 471,527 489,204 467,991 3.7 3.3 3.5 3.3

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,908,721 4,010,417 3,928,885 4,025,199 132,835 123,222 128,366 123,935 3.4 3.1 3.3 3.1

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,636,444 2,718,866 2,650,889 2,728,283 90,093 83,084 86,951 82,546 3.4 3.1 3.3 3.0

Fort Worth-Arlington. . . . . . . . . . . . . . 1,272,277 1,291,551 1,277,996 1,296,916 42,742 40,138 41,415 41,389 3.4 3.1 3.2 3.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,805,427 3,935,912 3,829,284 3,960,349 151,394 161,428 156,123 160,530 4.0 4.1 4.1 4.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,117,773 2,189,689 2,117,874 2,188,755 78,754 76,970 77,856 71,521 3.7 3.5 3.7 3.3

Seattle-Bellevue-Everett. . . . . . . . . . . 1,695,957 1,747,935 1,688,061 1,739,007 59,706 55,439 57,768 48,643 3.5 3.2 3.4 2.8

Tacoma-Lakewood. . . . . . . . . . . . . . . 421,816 441,754 429,813 449,748 19,048 21,531 20,088 22,878 4.5 4.9 4.7 5.1

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. 18-03, dated April 10, 2018, and are available on the BLS website at

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

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

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

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

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,047.2 2,093.9 2,059.9 2,101.8 41.9 2.0

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.2 46.8 47.5 0.7 1.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 68.3 66.9 68.7 1.8 2.7

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539.4 549.0 541.9 550.4 8.5 1.6

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.5 79.7 76.5 79.5 3.0 3.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 57.6 56.5 57.4 0.9 1.6

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.1 58.9 59.4 0.5 0.8

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 58.1 57.6 58.4 0.8 1.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 39.1 38.4 38.9 0.5 1.3

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.3 245.4 240.5 247.2 6.7 2.8

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.3 188.4 186.3 188.8 2.5 1.3

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.8 179.8 176.6 180.1 3.5 2.0

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.3 113.8 112.0 114.6 2.6 2.3

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.7 342.1 323.6 323.6 0.0 0.0

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.0 179.6 175.8 175.1 -0.7 -0.4

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.9 39.0 37.9 37.5 -0.4 -1.1

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,877.0 2,944.2 2,903.6 2,975.8 72.2 2.5

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.4 70.4 70.0 70.8 0.8 1.1

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.6 52.5 52.0 53.1 1.1 2.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,122.5 2,176.4 2,145.1 2,201.6 56.5 2.6

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 66.9 66.4 67.3 0.9 1.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.9 33.4 34.5 1.1 3.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 384.4 391.5 387.2 393.9 6.7 1.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.3 55.6 56.8 56.4 -0.4 -0.7

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,270.3 1,285.9 1,273.2 1,291.7 18.5 1.5

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.5 269.5 261.1 271.5 10.4 4.0

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.6 113.2 113.8 113.5 -0.3 -0.3

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.7 39.4 38.8 39.5 0.7 1.8

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.3 60.2 59.1 60.6 1.5 2.5

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.8 366.7 364.7 368.3 3.6 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 33.2 33.6 33.2 -0.4 -1.2

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,191.5 17,524.2 17,344.3 17,652.6 308.3 1.8

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.6 273.2 270.3 275.5 5.2 1.9

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.8 85.0 84.8 85.9 1.1 1.3

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 51.6 52.1 52.6 0.5 1.0

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.3 366.1 358.3 369.0 10.7 3.0

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.9 41.3 41.8 0.5 1.2

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,155.6 6,249.5 6,217.4 6,298.1 80.7 1.3

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.3 40.2 39.2 40.3 1.1 2.8

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.2 72.2 70.1 73.1 3.0 4.3

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.6 183.0 179.4 183.2 3.8 2.1

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.6 76.8 75.9 76.8 0.9 1.2

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.8 309.7 310.3 313.3 3.0 1.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.5 67.7 68.8 1.1 1.6

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,502.6 1,537.6 1,518.8 1,550.7 31.9 2.1

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,000.8 1,019.9 1,009.4 1,024.4 15.0 1.5

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.1 149.1 145.7 150.0 4.3 3.0

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,484.4 1,516.2 1,495.4 1,525.6 30.2 2.0

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,447.3 2,511.2 2,461.0 2,527.8 66.8 2.7

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,126.0 1,158.3 1,132.9 1,165.9 33.0 2.9

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 116.5 118.4 119.5 122.0 2.5 2.1

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.4 103.8 104.4 105.8 1.4 1.3

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.7 186.6 186.0 189.1 3.1 1.7

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.8 213.7 211.2 213.4 2.2 1.0

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 244.6 243.9 245.4 245.2 -0.2 -0.1

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.6 141.0 142.2 142.7 0.5 0.4

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.0 129.9 126.9 130.4 3.5 2.8

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.5 45.1 45.9 0.8 1.8

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,734.8 2,792.4 2,744.8 2,798.2 53.4 1.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194.2 200.3 197.4 203.6 6.2 3.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293.9 303.5 297.1 303.7 6.6 2.2

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,508.1 1,537.0 1,513.5 1,544.4 30.9 2.0

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.0 175.4 172.3 177.8 5.5 3.2

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 66.6 65.3 66.7 1.4 2.1

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 113.3 112.0 113.9 1.9 1.7

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.1 62.9 63.1 0.2 0.3

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,695.0 1,704.2 1,704.3 1,709.8 5.5 0.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.3 411.5 408.9 412.7 3.8 0.9

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 77.8 77.9 78.2 0.3 0.4

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584.3 585.8 588.4 587.3 -1.1 -0.2

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.0 291.2 290.6 293.4 2.8 1.0

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.6 130.0 129.9 130.0 0.1 0.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.5 69.3 69.3 69.9 0.6 0.9

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461.9 469.8 464.1 470.6 6.5 1.4

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 70.6 70.0 71.2 1.2 1.7

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.1 166.6 161.7 161.3 -0.4 -0.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.4 799.4 797.6 805.3 7.7 1.0

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,301.4 3,338.7 3,313.2 3,365.5 52.3 1.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,774.5 9,004.2 8,855.3 9,088.3 233.0 2.6

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.0 279.2 272.1 283.7 11.6 4.3

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.3 118.5 115.2 119.1 3.9 3.4

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.1 206.2 205.4 207.8 2.4 1.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.2 148.6 148.1 149.1 1.0 0.7

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 33.8 33.8 34.3 0.5 1.5

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710.4 724.0 710.2 733.1 22.9 3.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.7 233.1 232.6 233.9 1.3 0.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,675.0 2,730.9 2,705.6 2,754.6 49.0 1.8

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.9 151.8 150.7 155.5 4.8 3.2

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.5 310.6 307.3 312.8 5.5 1.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.5 107.5 105.5 108.3 2.8 2.7

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,295.3 1,344.1 1,311.9 1,356.8 44.9 3.4

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.2 230.2 225.6 232.6 7.0 3.1

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 84.1 84.6 84.1 -0.5 -0.6

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.5 183.8 184.0 184.7 0.7 0.4

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.0 155.8 154.1 157.6 3.5 2.3

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 49.2 49.0 50.2 1.2 2.4

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 54.6 53.5 55.6 2.1 3.9

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.0 25.8 25.6 26.0 0.4 1.6

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.2 190.5 187.4 193.0 5.6 3.0

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,354.8 1,382.1 1,363.8 1,398.6 34.8 2.6

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.7 30.6 29.9 30.7 0.8 2.7

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,557.2 4,629.5 4,588.2 4,661.4 73.2 1.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.3 63.3 63.4 0.1 0.2

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.6 100.1 100.8 101.6 0.8 0.8

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,798.1 2,851.9 2,815.7 2,874.9 59.2 2.1

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.6 242.8 241.9 244.9 3.0 1.2

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.7 44.8 45.6 0.8 1.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.6 122.0 123.4 123.2 -0.2 -0.2

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 69.3 68.4 69.2 0.8 1.2

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.0 97.2 94.8 98.0 3.2 3.4

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.6 21.2 20.8 21.1 0.3 1.4

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.3 104.1 103.5 104.4 0.9 0.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 42.5 41.8 42.8 1.0 2.4

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.9 184.5 184.6 186.0 1.4 0.8

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 57.2 56.9 57.8 0.9 1.6

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.0 77.6 76.3 78.1 1.8 2.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 654.0 660.5 658.7 664.5 5.8 0.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 77.7 76.7 78.0 1.3 1.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476.1 482.6 481.2 485.8 4.6 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 746.5 766.9 748.5 763.8 15.3 2.0

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.3 346.6 336.7 345.0 8.3 2.5

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.8 68.0 66.2 67.8 1.6 2.4

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 71.7 69.0 71.9 2.9 4.2

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.9 29.1 28.7 29.1 0.4 1.4

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.5 37.6 37.2 38.1 0.9 2.4

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.8 47.2 48.1 0.9 1.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,158.9 6,225.5 6,197.8 6,251.9 54.1 0.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.7 92.8 93.6 94.0 0.4 0.4

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.7 60.3 59.6 61.1 1.5 2.5

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 114.6 112.9 116.1 3.2 2.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,773.8 4,821.1 4,806.1 4,841.9 35.8 0.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.6 27.8 27.8 27.8 0.0 0.0

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.7 187.8 188.4 188.3 -0.1 -0.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.8 52.3 52.9 0.6 1.1

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 46.8 46.8 47.5 0.7 1.5

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.9 176.4 177.8 176.3 -1.5 -0.8

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.0 154.4 154.4 155.5 1.1 0.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.2 116.4 115.2 116.6 1.4 1.2

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,169.0 3,188.9 3,177.3 3,194.1 16.8 0.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.6 79.7 79.9 80.2 0.3 0.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 54.5 53.9 54.7 0.8 1.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.2 143.4 143.0 143.9 0.9 0.6

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.5 165.5 165.1 165.0 -0.1 -0.1

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226.5 231.0 228.4 228.4 0.0 0.0

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,079.3 1,088.0 1,081.6 1,090.4 8.8 0.8

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 41.9 41.1 41.9 0.8 1.9

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.5 103.8 107.7 105.1 -2.6 -2.4

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 41.6 41.4 41.6 0.2 0.5

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 51.5 51.8 52.3 0.5 1.0

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.8 145.1 145.7 146.4 0.7 0.5

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.3 71.2 71.4 71.9 0.5 0.7

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,588.4 1,598.3 1,603.5 1,611.9 8.4 0.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.4 56.7 56.0 57.3 1.3 2.3

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.0 145.1 145.2 146.0 0.8 0.6

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370.8 379.4 374.3 383.8 9.5 2.5

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 61.5 61.6 61.8 0.2 0.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.3 100.4 102.1 101.2 -0.9 -0.9

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.7 90.2 90.7 90.3 -0.4 -0.4

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.6 92.3 93.0 92.5 -0.5 -0.5

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,423.4 1,443.7 1,434.1 1,452.7 18.6 1.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.3 54.4 55.0 55.4 0.4 0.7

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.0 44.6 44.6 0.0 0.0

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.2 115.0 113.2 116.5 3.3 2.9

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300.5 303.3 301.8 304.6 2.8 0.9

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,939.9 1,968.0 1,940.5 1,974.0 33.5 1.7

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.2 78.6 77.0 77.2 0.2 0.3

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.6 57.0 57.3 0.3 0.5

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277.6 283.4 278.6 285.9 7.3 2.6

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672.9 680.6 668.5 681.0 12.5 1.9

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 54.1 54.1 54.4 0.3 0.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,980.2 1,989.9 1,998.2 2,002.3 4.1 0.2

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 61.1 61.5 61.2 -0.3 -0.5

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 411.5 415.1 412.6 417.5 4.9 1.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.4 45.9 46.9 1.0 2.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Louisiana - Continued

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.5 84.4 86.3 84.6 -1.7 -2.0

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.1 204.5 204.5 206.0 1.5 0.7

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.9 118.5 118.9 119.1 0.2 0.2

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 77.8 78.8 77.9 -0.9 -1.1

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 575.0 588.4 584.4 593.5 9.1 1.6

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.8 178.5 180.8 179.2 -1.6 -0.9

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640.5 644.7 634.7 640.5 5.8 0.9

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.2 69.2 68.7 69.0 0.3 0.4

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.4 51.4 51.8 51.5 -0.3 -0.6

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212.8 214.1 210.7 213.5 2.8 1.3

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.5 2,768.7 2,758.7 2,792.5 33.8 1.2

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,413.3 1,435.8 1,424.6 1,447.8 23.2 1.6

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.0 46.0 46.5 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.3 39.5 39.7 39.7 0.0 0.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.0 106.6 106.5 108.4 1.9 1.8

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,659.0 3,702.9 3,679.6 3,731.1 51.5 1.4

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.5 112.2 106.8 108.2 1.4 1.3

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,774.7 2,809.4 2,793.9 2,834.8 40.9 1.5

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.4 55.5 55.1 55.7 0.6 1.1

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.2 68.1 67.4 67.8 0.4 0.6

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.5 41.0 41.4 0.4 1.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.1 346.6 343.6 350.3 6.7 1.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.0 285.8 288.8 288.5 -0.3 -0.1

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,445.4 4,470.0 4,470.2 4,469.6 -0.6 0.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.6 227.2 227.2 230.0 2.8 1.2

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 57.9 58.8 58.3 -0.5 -0.9

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.7 35.0 35.8 34.5 -1.3 -3.6

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,038.2 2,038.1 2,050.9 2,039.6 -11.3 -0.6

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.9 144.3 142.8 139.0 -3.8 -2.7

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565.4 567.7 568.0 569.7 1.7 0.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.7 58.9 59.2 58.5 -0.7 -1.2

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.5 151.4 152.1 153.1 1.0 0.7

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 238.6 241.0 241.5 239.9 -1.6 -0.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.0 38.1 37.8 -0.3 -0.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 42.4 42.8 42.7 -0.1 -0.2

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.8 66.3 65.5 67.0 1.5 2.3

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.8 63.8 62.6 63.8 1.2 1.9

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.1 88.7 88.6 88.2 -0.4 -0.5

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,972.8 2,977.8 2,987.0 2,999.5 12.5 0.4

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.6 138.0 138.6 139.6 1.0 0.7

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 59.2 60.3 61.1 0.8 1.3

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,021.0 2,016.5 2,031.1 2,030.0 -1.1 -0.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.4 124.0 123.7 125.1 1.4 1.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 112.1 112.0 113.0 1.0 0.9

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,158.3 1,172.4 1,165.8 1,176.9 11.1 1.0

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.7 157.4 155.1 158.7 3.6 2.3

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.7 67.6 66.6 68.4 1.8 2.7

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279.4 283.2 282.1 284.9 2.8 1.0

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,901.0 2,934.5 2,912.9 2,946.9 34.0 1.2

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.7 45.5 46.3 0.8 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.1 101.3 102.0 102.2 0.2 0.2

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 77.6 77.2 77.7 0.5 0.6

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.4 81.9 81.8 82.4 0.6 0.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,104.4 1,118.9 1,109.4 1,123.5 14.1 1.3

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.0 63.4 63.3 -0.1 -0.2

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,390.6 1,416.6 1,396.8 1,420.2 23.4 1.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.3 219.7 217.9 219.7 1.8 0.8

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 483.6 489.4 481.9 488.4 6.5 1.3

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.9 86.1 85.3 85.7 0.4 0.5

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.1 36.4 36.1 36.3 0.2 0.6

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.6 65.0 63.5 65.1 1.6 2.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,027.3 1,036.2 1,028.3 1,046.1 17.8 1.7

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.3 43.0 42.2 42.7 0.5 1.2

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.3 192.9 192.9 194.2 1.3 0.7

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502.4 515.0 505.7 521.7 16.0 3.2

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,400.2 1,442.7 1,413.5 1,444.4 30.9 2.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.3 31.4 30.5 31.6 1.1 3.6

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,016.9 1,038.5 1,026.1 1,039.4 13.3 1.3

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247.9 261.2 251.2 263.0 11.8 4.7

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 682.9 692.0 687.5 694.5 7.0 1.0

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.2 54.3 54.8 55.2 0.4 0.7

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.1 116.1 116.0 116.6 0.6 0.5

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.6 96.3 94.8 95.6 0.8 0.8

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,162.9 4,194.1 4,192.3 4,224.0 31.7 0.8

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.5 136.3 134.5 134.4 -0.1 -0.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.0 52.2 42.0 45.0 3.0 7.1

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.5 277.1 275.6 280.2 4.6 1.7

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 60.1 59.5 60.6 1.1 1.8

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 845.3 863.3 850.6 868.4 17.8 2.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393.3 396.9 395.6 399.4 3.8 1.0

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.9 48.0 48.1 48.3 0.2 0.4

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 74.6 74.7 75.6 0.9 1.2

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 63.7 64.1 63.5 -0.6 -0.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,668.0 9,788.1 9,780.5 9,883.9 103.4 1.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.5 473.3 480.3 479.8 -0.5 -0.1

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.2 104.2 105.8 105.6 -0.2 -0.2

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 567.8 573.3 572.7 575.0 2.3 0.4

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.8 37.0 37.0 37.4 0.4 1.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 56.3 55.7 55.9 0.2 0.4

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.6 67.7 66.9 68.7 1.8 2.7

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 64.5 64.8 65.6 0.8 1.2

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,811.5 9,919.3 9,923.1 10,007.7 84.6 0.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541.4 544.9 547.1 552.3 5.2 1.0

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321.3 327.0 325.8 331.0 5.2 1.6

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.3 127.8 129.5 129.2 -0.3 -0.2

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.5 42.7 42.3 42.6 0.3 0.7

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,483.3 4,586.7 4,527.9 4,617.0 89.1 2.0

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196.5 204.3 198.1 206.1 8.0 4.0

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.6 63.4 64.3 0.9 1.4

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,210.8 1,241.0 1,221.2 1,249.1 27.9 2.3

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.1 318.7 315.8 319.3 3.5 1.1

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.0 132.5 131.2 132.4 1.2 0.9

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.5 41.9 42.0 41.9 -0.1 -0.2

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.9 363.8 363.8 366.7 2.9 0.8

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 81.7 80.7 81.8 1.1 1.4

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.0 155.1 156.3 156.0 -0.3 -0.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.7 49.3 49.0 49.3 0.3 0.6

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 45.0 44.6 45.0 0.4 0.9

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631.0 651.8 635.5 656.2 20.7 3.3

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 55.6 57.0 56.8 -0.2 -0.4

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.6 133.6 128.9 134.9 6.0 4.7

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.1 274.3 268.4 275.8 7.4 2.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439.7 441.2 441.8 442.2 0.4 0.1

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.5 72.9 73.3 73.3 0.0 0.0

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.1 144.2 144.8 145.6 0.8 0.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 56.2 56.6 56.7 0.1 0.2

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,583.0 5,616.2 5,614.8 5,635.4 20.6 0.4

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.8 340.1 344.8 342.3 -2.5 -0.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.9 176.5 177.0 177.9 0.9 0.5

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,115.2 1,141.0 1,121.9 1,144.7 22.8 2.0

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,069.7 1,084.6 1,075.9 1,085.6 9.7 0.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103.5 1,117.1 1,113.5 1,123.5 10.0 0.9

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.9 393.1 391.4 396.1 4.7 1.2

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.4 53.7 53.7 54.0 0.3 0.6

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.2 53.1 53.4 0.3 0.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 50.6 50.8 51.0 0.2 0.4

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.2 310.3 312.4 311.9 -0.5 -0.2

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.4 39.8 40.6 39.8 -0.8 -2.0

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219.7 217.0 220.1 216.6 -3.5 -1.6

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,698.6 1,699.1 1,705.0 1,709.4 4.4 0.3

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 25.4 25.7 25.6 -0.1 -0.4

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.5 45.2 45.6 0.4 0.9

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 655.8 662.1 659.0 666.2 7.2 1.1

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455.8 456.3 457.4 459.4 2.0 0.4

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,919.2 1,951.2 1,931.6 1,963.5 31.9 1.7

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.6 46.9 46.1 47.5 1.4 3.0

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.5 88.7 85.7 88.4 2.7 3.2

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.7 42.7 44.6 45.0 0.4 0.9

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.8 161.3 162.3 164.0 1.7 1.0

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.6 28.1 27.5 28.2 0.7 2.5

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.4 92.0 90.3 93.0 2.7 3.0

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,202.8 1,226.8 1,209.8 1,231.4 21.6 1.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169.6 171.3 171.4 173.1 1.7 1.0

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,041.8 6,076.7 6,087.0 6,118.2 31.2 0.5

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 375.6 378.5 380.8 382.5 1.7 0.4

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.3 62.0 61.2 62.2 1.0 1.6

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.1 43.5 43.5 43.8 0.3 0.7

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 63.1 62.5 63.4 0.9 1.4

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 59.2 58.7 59.5 0.8 1.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.9 129.8 130.1 129.9 -0.2 -0.2

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.4 35.7 35.6 35.9 0.3 0.8

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 349.3 346.7 348.7 348.3 -0.4 -0.1

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.7 54.9 55.3 55.6 0.3 0.5

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.4 258.7 259.6 259.3 -0.3 -0.1

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.7 53.8 55.1 1.3 2.4

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,949.9 2,985.6 2,975.4 3,004.0 28.6 1.0

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,191.9 1,194.3 1,201.8 1,198.8 -3.0 -0.2

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.3 182.7 181.5 183.7 2.2 1.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.2 263.6 266.2 265.8 -0.4 -0.2

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.8 83.3 83.6 84.6 1.0 1.2

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 53.8 53.7 54.0 0.3 0.6

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.5 188.0 188.6 188.9 0.3 0.2

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501.3 508.4 503.0 512.4 9.4 1.9

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596.4 604.5 600.6 609.9 9.3 1.5

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,131.9 2,176.3 2,158.5 2,188.1 29.6 1.4

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.0 371.3 370.2 371.2 1.0 0.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.5 402.7 404.2 404.6 0.4 0.1

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.8 92.3 91.7 92.5 0.8 0.9

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422.5 429.5 426.8 432.0 5.2 1.2

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 85.2 82.1 86.2 4.1 5.0

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.4 181.3 172.3 181.2 8.9 5.2

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.9 163.1 159.6 163.6 4.0 2.5

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 40.6 40.7 41.2 0.5 1.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443.4 451.9 443.3 452.1 8.8 2.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.3 71.0 69.4 70.1 0.7 1.0

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158.9 163.6 159.2 163.9 4.7 3.0

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,087.3 3,136.1 3,102.8 3,142.9 40.1 1.3

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.6 268.0 265.1 268.6 3.5 1.3

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.7 95.7 93.3 95.4 2.1 2.3

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 47.0 47.1 47.2 0.1 0.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.5 70.9 70.0 70.8 0.8 1.1

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.5 82.3 82.3 82.6 0.3 0.4

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.1 124.0 122.2 124.8 2.6 2.1

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.7 410.9 403.4 412.0 8.6 2.1

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 651.2 658.0 655.7 659.5 3.8 0.6

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 46.7 46.8 47.2 0.4 0.9

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,024.6 1,040.2 1,028.4 1,043.1 14.7 1.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,531.6 12,841.7 12,651.0 12,950.8 299.8 2.4

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 70.4 70.3 71.0 0.7 1.0

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.4 120.2 120.5 121.3 0.8 0.7

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,073.6 1,095.5 1,079.9 1,107.7 27.8 2.6

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.2 168.1 169.0 169.0 0.0 0.0

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.1 142.2 141.4 142.0 0.6 0.4

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.6 123.3 124.2 126.3 2.1 1.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.5 194.7 193.9 196.5 2.6 1.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,697.9 3,810.3 3,729.9 3,828.6 98.7 2.6

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318.3 322.0 320.4 324.7 4.3 1.3

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,089.2 3,173.9 3,121.7 3,202.1 80.4 2.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 146.5 143.6 147.5 3.9 2.7

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.9 106.7 105.4 107.3 1.9 1.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.5 97.1 98.5 98.0 -0.5 -0.5

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.5 150.6 149.7 151.7 2.0 1.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 262.9 270.5 266.3 275.0 8.7 3.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 111.5 111.5 111.8 0.3 0.3

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.7 82.8 82.7 82.9 0.2 0.2

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.9 50.4 50.2 50.6 0.4 0.8

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,058.9 1,085.2 1,063.2 1,099.5 36.3 3.4

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.2 48.8 48.3 49.2 0.9 1.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.9 60.4 60.4 60.6 0.2 0.3

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.9 107.3 107.2 108.1 0.9 0.8

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 41.5 42.2 41.8 -0.4 -0.9

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.7 123.1 121.9 123.7 1.8 1.5

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 59.5 60.0 59.7 -0.3 -0.5

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,533.5 1,579.2 1,542.0 1,593.2 51.2 3.3

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.3 66.0 65.1 66.9 1.8 2.8

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.0 274.7 265.0 276.5 11.5 4.3

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.1 274.2 269.6 278.6 9.0 3.3

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.5 72.0 70.3 72.4 2.1 3.0

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 738.8 755.2 742.1 761.4 19.3 2.6

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.7 316.8 319.5 320.0 0.5 0.2

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.0 128.5 127.4 129.9 2.5 2.0

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,005.1 4,023.4 4,018.1 4,047.3 29.2 0.7

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.6 78.5 78.3 75.5 -2.8 -3.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.4 122.1 119.1 120.7 1.6 1.3

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 70.1 69.4 70.6 1.2 1.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.1 106.5 106.0 107.0 1.0 0.9

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 676.9 683.0 681.5 686.8 5.3 0.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.3 164.0 162.6 164.7 2.1 1.3

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 51.8 51.2 52.1 0.9 1.8

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787.2 793.1 789.8 792.9 3.1 0.4

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.0 66.0 65.3 66.9 1.6 2.5

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,428.1 3,515.2 3,449.2 3,525.5 76.3 2.2

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

September October

Change from

October 2018 to October

2019p

2018 2019 2018 2019p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.3 97.3 97.3 98.2 0.9 0.9

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.5 95.6 94.0 96.5 2.5 2.7

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.0 121.2 117.5 121.3 3.8 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 40.6 40.4 40.8 0.4 1.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.0 52.2 52.3 0.1 0.2

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.2 123.0 121.7 123.7 2.0 1.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,056.5 2,122.8 2,067.2 2,126.8 59.6 2.9

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.6 258.0 255.1 260.1 5.0 2.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.9 28.2 29.0 29.5 0.5 1.7

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 47.9 47.1 47.8 0.7 1.5

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.9 88.8 88.3 89.4 1.1 1.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 733.6 737.0 740.3 743.1 2.8 0.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.5 44.7 44.7 44.8 0.1 0.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.7 110.2 110.6 110.1 -0.5 -0.5

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.6 135.5 136.0 135.8 -0.2 -0.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.9 70.8 72.0 71.3 -0.7 -1.0

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 38.4 38.3 38.5 0.2 0.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.2 69.3 70.1 69.8 -0.3 -0.4

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,981.1 2,987.7 2,992.5 3,006.3 13.8 0.5

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.4 125.9 125.8 126.0 0.2 0.2

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.0 87.8 87.8 88.9 1.1 1.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 49.0 49.4 49.4 0.0 0.0

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.2 184.0 183.3 185.7 2.4 1.3

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.5 71.0 69.8 71.1 1.3 1.9

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.2 80.3 79.7 81.1 1.4 1.8

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.0 405.4 406.0 410.7 4.7 1.2

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 874.6 882.5 879.0 890.8 11.8 1.3

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.4 98.2 98.5 99.4 0.9 0.9

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 79.2 79.1 79.5 0.4 0.5

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 64.5 63.7 64.8 1.1 1.7

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.8 73.4 73.3 74.1 0.8 1.1

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 291.4 294.1 289.0 289.1 0.1 0.0

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.6 39.4 39.7 0.3 0.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 47.5 47.1 47.6 0.5 1.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864.3 872.3 870.9 873.6 2.7 0.3

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.7 50.7 50.4 50.8 0.4 0.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 34.6 34.1 34.7 0.6 1.8

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.8 13.6 13.7 13.7 0.0 0.0

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.7 32.5 32.4 33.1 0.7 2.2

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 67.1 67.4 67.3 -0.1 -0.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.0 20.3 20.0 20.3 0.3 1.5

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 629.0 632.5 634.2 632.6 -1.6 -0.3

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.1 35.1 33.6 35.5 1.9 5.7

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. 18-03, dated April 10, 2018, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

September October Change from

October 2018 to October 2019p

2018 2019 2018 2019p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,191.5 17,524.2 17,344.3 17,652.6 308.3 1.8

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,155.6 6,249.5 6,217.4 6,298.1 80.7 1.3

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,649.4 1,672.3 1,663.8 1,682.8 19.0 1.1

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,506.2 4,577.2 4,553.6 4,615.3 61.7 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,447.3 2,511.2 2,461.0 2,527.8 66.8 2.7

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,179.5 1,203.3 1,186.1 1,211.5 25.4 2.1

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,151.0 1,188.2 1,157.9 1,196.4 38.5 3.3

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.8 119.7 117.0 119.9 2.9 2.5

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 791.4 799.4 797.6 805.3 7.7 1.0

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,301.4 3,338.7 3,313.2 3,365.5 52.3 1.6

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596.3 595.7 596.9 598.5 1.6 0.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,705.1 2,743.0 2,716.3 2,767.0 50.7 1.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,774.5 9,004.2 8,855.3 9,088.3 233.0 2.6

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,675.0 2,730.9 2,705.6 2,754.6 49.0 1.8

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 853.0 866.5 861.5 874.8 13.3 1.5

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,197.1 1,225.1 1,210.1 1,233.7 23.6 2.0

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 624.9 639.3 634.0 646.1 12.1 1.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,158.9 6,225.5 6,197.8 6,251.9 54.1 0.9

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,773.8 4,821.1 4,806.1 4,841.9 35.8 0.7

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,802.5 3,834.1 3,827.8 3,850.3 22.5 0.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.6 269.3 267.4 270.4 3.0 1.1

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.3 282.9 281.8 285.7 3.9 1.4

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 424.4 434.8 429.1 435.5 6.4 1.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,659.0 3,702.9 3,679.6 3,731.1 51.5 1.4

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,774.7 2,809.4 2,793.9 2,834.8 40.9 1.5

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,875.2 1,903.1 1,889.4 1,923.8 34.4 1.8

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.1 82.7 82.9 83.7 0.8 1.0

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.6 174.5 174.8 175.8 1.0 0.6

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 69.0 67.6 68.5 0.9 1.3

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.7 80.5 82.8 81.2 -1.6 -1.9

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.5 160.9 160.3 161.4 1.1 0.7

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.7 45.5 46.9 1.4 3.1

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.7 132.2 131.3 132.7 1.4 1.1

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.9 97.6 96.8 98.7 1.9 2.0

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 62.2 62.5 62.1 -0.4 -0.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,445.4 4,470.0 4,470.2 4,469.6 -0.6 0.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,038.2 2,038.1 2,050.9 2,039.6 -11.3 -0.6

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 766.8 767.9 771.2 765.6 -5.6 -0.7

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,271.4 1,270.2 1,279.7 1,274.0 -5.7 -0.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,668.0 9,788.1 9,780.5 9,883.9 103.4 1.1

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,811.5 9,919.3 9,923.1 10,007.7 84.6 0.9

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.2 149.0 150.1 151.6 1.5 1.0

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,343.8 1,350.5 1,350.4 1,365.0 14.6 1.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,214.9 1,224.1 1,225.9 1,236.7 10.8 0.9

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,105.6 7,195.7 7,196.7 7,254.4 57.7 0.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,041.8 6,076.7 6,087.0 6,118.2 31.2 0.5

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,949.9 2,985.6 2,975.4 3,004.0 28.6 1.0

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 540.6 538.9 545.2 542.6 -2.6 -0.5

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,075.7 1,090.3 1,083.8 1,094.7 10.9 1.0

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 972.1 988.2 981.6 996.1 14.5 1.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.5 368.2 364.8 370.6 5.8 1.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,531.6 12,841.7 12,651.0 12,950.8 299.8 2.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,697.9 3,810.3 3,729.9 3,828.6 98.7 2.6

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,634.7 2,732.2 2,658.9 2,746.2 87.3 3.3

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,063.2 1,078.1 1,071.0 1,082.4 11.4 1.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,428.1 3,515.2 3,449.2 3,525.5 76.3 2.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,056.5 2,122.8 2,067.2 2,126.8 59.6 2.9

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,733.0 1,791.9 1,741.2 1,795.7 54.5 3.1

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323.5 330.9 326.0 331.1 5.1 1.6

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, 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 adjusted, 

October 2019

(U.S. rate = 3.3 percent)

Map includes data for 389 metropolitan areas based

on Office of Management and Budget Bulletin No. 18-03. 

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:

Above U.S. average

U.S. average or belo
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, October 2019

(U.S. average = 1.4 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 389

metropolitan areas based on Office of

Management and Budget Bulletin No. 18-

03. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.