For release 10:00 a.m. (EST) Friday, January 3, 2020 USDL-20-0001 

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 — NOVEMBER 2019

Unemployment rates were lower in November than a year earlier in 223 of the 389 metropolitan areas, 

higher in 137 areas, and unchanged in 29 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 51 metropolitan areas and was essentially 

unchanged in the remaining 338 areas. The national unemployment rate in November was 3.3 percent, 

not seasonally adjusted, little changed from 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 November, Logan, UT-ID, and Ames, IA, had the lowest unemployment rates, 1.5 percent and 1.6 

percent, respectively. El Centro, CA, and Yuma, AZ, had the highest unemployment rates, 20.6 percent 

and 15.4 percent, respectively. A total of 215 areas had November jobless rates below the U.S. rate of 

3.3 percent, 161 areas had rates above it, and 13 areas had rates equal to that of the nation. (See table 1 

and map 1.) 

Kokomo, IN, had the largest over-the-year unemployment rate decrease in November (-4.6 percentage 

points), followed by Rockford, IL (-4.3 points), and Panama City, FL (-4.2 points). Twenty-six other 

areas had rate declines of at least 1.0 percentage point. The largest over-the-year rate increase occurred 

in El Centro, CA (+2.1 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 November, 1.9 percent. New Orleans-Metairie, LA, had the 

highest jobless rate among the large areas, 4.4 percent. Thirty-six large areas had over-the-year 

unemployment rate decreases, 13 had increases, and 2 had no change. The largest rate decreases 
-2- 

occurred in Cleveland-Elyria, OH (-1.1 percentage points), and Denver-Aurora-Lakewood, CO, and 

Seattle-Takoma-Bellevue, WA (-1.0 point each). The largest jobless rate increase was in Pittsburgh, PA 

(+0.8 percentage point). 

Metropolitan Division Unemployment (Not Seasonally Adjusted) 

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

essentially separately identifiable employment centers. In November, Framingham, MA, and San 

Francisco-Redwood City-South San Francisco, CA, had the lowest unemployment rates among the 

divisions, 1.9 percent each. Tacoma-Lakewood, WA, and Philadelphia, PA, had the highest division 

rates, 5.1 percent and 5.0 percent, respectively. (See table 2.) 

In November, 27 metropolitan divisions had over-the-year unemployment rate decreases, 8 had 

increases, and 3 had no change. The largest rate decline occurred in Seattle-Bellevue-Everett, WA (-1.4 

percentage points). The largest over-the-year jobless rate increase occurred in Philadelphia, PA (+0.6 

percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In November, 51 metropolitan areas had over-the-year increases in nonfarm payroll employment and 

338 were essentially unchanged. The largest over-the-year employment increases occurred in DallasFort Worth-Arlington, TX (+120,700), New York-Newark-Jersey City, NY-NJ-PA (+99,400), and Los 

Angeles-Long Beach-Anaheim, CA (+96,000). The largest over-the-year percentage gains in 

employment occurred in Myrtle Beach-Conway-North Myrtle Beach, SC-NC (+5.1 percent), Idaho 

Falls, ID (+4.5 percent), and Ogden-Clearfield, UT (+4.2 percent). (See table 3 and map 2.) 

Over the year, nonfarm employment rose in 36 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, while employment was essentially unchanged in 15 areas. The largest 

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

NC (+3.8 percent), Jacksonville, FL (+3.4 percent), and Dallas-Fort Worth-Arlington, TX, and San 

Antonio-New Braunfels, TX (+3.2 percent each). 

Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In November, nonfarm payroll employment increased in 12 of the 38 metropolitan divisions over the 

year and was essentially unchanged in 26 divisions. The largest over-the-year increase in employment 

among the metropolitan divisions occurred in Dallas-Plano-Irving, TX (+97,800), followed by Los 

Angeles-Long Beach-Glendale, CA (+81,900), and New York-Jersey City-White Plains, NY-NJ 

(+77,300). (See table 4.) 

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

(+3.7 percent), San Francisco-Redwood City-South San Francisco, CA (+3.1 percent), and SeattleBellevue-Everett, WA (+3.0 percent). 

_____________ 

The State Employment and Unemployment news release for December 2019 is scheduled to be 

released on Friday, January 24, 2020, at 10:00 a.m. (EST). The Metropolitan Area Employment 
-3- 

and Unemployment news release for December 2019 is scheduled to be released on Wednesday, 

February 5, 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

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,212,503 2,269,499 2,205,363 2,259,373 81,676 54,941 73,717 55,794 3.7 2.4 3.3 2.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,795 46,702 45,801 46,428 2,001 1,330 1,819 1,355 4.4 2.8 4.0 2.9

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 76,149 78,443 76,282 78,483 2,539 1,668 2,299 1,722 3.3 2.1 3.0 2.2

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 548,653 562,703 548,078 561,598 18,447 12,306 16,618 12,490 3.4 2.2 3.0 2.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 93,506 97,082 92,774 96,415 3,228 2,122 2,934 2,195 3.5 2.2 3.2 2.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,190 73,390 71,190 73,253 2,359 1,607 2,147 1,637 3.3 2.2 3.0 2.2

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,152 64,021 62,325 63,677 2,469 1,544 2,193 1,604 3.9 2.4 3.5 2.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . 66,258 67,307 65,949 66,917 2,615 1,819 2,346 1,836 3.9 2.7 3.6 2.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,394 44,402 43,063 44,201 1,669 1,239 1,523 1,186 3.8 2.8 3.5 2.7

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 224,628 232,480 224,908 231,907 7,441 4,764 6,598 4,799 3.3 2.0 2.9 2.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188,386 192,647 187,958 192,046 8,147 5,722 7,367 5,793 4.3 3.0 3.9 3.0

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,359 176,740 171,846 175,730 6,430 4,295 5,773 4,333 3.7 2.4 3.4 2.5

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 117,409 121,337 117,080 120,788 3,945 2,699 3,640 2,801 3.4 2.2 3.1 2.3

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,262 344,026 353,278 342,571 21,539 19,289 22,657 20,638 6.1 5.6 6.4 6.0

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 199,196 193,150 201,422 195,479 11,106 9,721 11,379 10,228 5.6 5.0 5.6 5.2

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,270 44,631 46,182 44,398 2,433 2,180 2,573 2,356 5.3 4.9 5.6 5.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,491,620 3,599,850 3,512,594 3,622,661 170,174 155,340 166,722 157,057 4.9 4.3 4.7 4.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,808 80,225 77,887 79,453 4,152 3,783 4,115 3,779 5.3 4.7 5.3 4.8

Lake Havasu City-Kingman. . . . . . . . . . . . 86,465 89,061 86,525 89,749 4,915 4,657 4,997 4,798 5.7 5.2 5.8 5.3

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,440,085 2,527,808 2,459,584 2,545,071 102,079 93,956 102,136 95,656 4.2 3.7 4.2 3.8

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,103 109,304 107,496 110,144 4,754 4,400 4,882 4,575 4.4 4.0 4.5 4.2

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 50,156 51,811 50,734 51,968 2,805 2,631 2,844 2,761 5.6 5.1 5.6 5.3

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 491,259 504,239 495,039 508,946 21,941 20,638 22,132 20,950 4.5 4.1 4.5 4.1

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,775 102,415 103,119 102,582 19,431 16,458 16,107 15,762 18.5 16.1 15.6 15.4

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,355,060 1,371,482 1,351,062 1,368,523 44,065 43,551 43,405 43,732 3.3 3.2 3.2 3.2

Fayetteville-Springdale-Rogers. . . . . . . . . 276,369 286,907 275,869 286,326 6,889 6,492 6,644 6,400 2.5 2.3 2.4 2.2

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,933 118,795 118,675 118,861 4,093 4,122 3,890 4,056 3.4 3.5 3.3 3.4

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,404 40,985 40,099 40,662 1,514 1,420 1,463 1,386 3.7 3.5 3.6 3.4

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,667 66,146 64,643 66,130 1,794 1,694 1,749 1,669 2.8 2.6 2.7 2.5

Little Rock-North Little Rock-Conway. . . . 355,560 360,122 353,968 359,984 10,672 10,735 10,347 10,702 3.0 3.0 2.9 3.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,546 35,246 35,338 34,907 1,602 1,645 1,603 1,696 4.5 4.7 4.5 4.9

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,542,699 19,588,210 19,562,413 19,616,666 772,789 719,195 760,287 719,250 4.0 3.7 3.9 3.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 392,498 393,210 388,958 389,849 25,417 23,993 25,161 24,843 6.5 6.1 6.5 6.4

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,924 104,426 103,625 103,395 4,418 3,992 4,503 4,100 4.2 3.8 4.3 4.0

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,081 74,108 72,596 74,280 14,209 15,642 13,455 15,309 19.7 21.1 18.5 20.6

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447,143 450,299 449,306 451,121 28,434 26,273 30,606 29,498 6.4 5.8 6.8 6.5

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 57,747 57,914 57,493 57,885 3,604 3,632 3,951 4,085 6.2 6.3 6.9 7.1

Los Angeles-Long Beach-Anaheim. . . . . 6,806,284 6,797,275 6,817,785 6,833,846 286,727 275,353 278,806 261,949 4.2 4.1 4.1 3.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,415 61,537 60,846 61,012 3,571 3,318 3,726 3,703 5.8 5.4 6.1 6.1

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,860 118,254 114,185 116,352 7,272 6,805 7,808 7,581 6.2 5.8 6.8 6.5

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243,913 243,933 242,704 242,768 13,201 11,844 13,668 12,677 5.4 4.9 5.6 5.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,762 75,414 73,517 73,636 1,927 1,748 1,934 1,893 2.5 2.3 2.6 2.6

Oxnard-Thousand Oaks-Ventura. . . . . . . 427,355 423,843 428,472 424,712 15,761 13,914 15,726 14,476 3.7 3.3 3.7 3.4

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,087 74,764 74,406 74,080 3,247 2,827 3,235 2,925 4.3 3.8 4.3 3.9

Riverside-San Bernardino-Ontario. . . . . . 2,071,476 2,078,795 2,086,173 2,092,615 85,350 77,097 80,930 75,864 4.1 3.7 3.9 3.6

Sacramento--Roseville--Arden-Arcade. . . 1,104,825 1,103,783 1,108,474 1,106,907 38,370 34,585 37,570 35,235 3.5 3.1 3.4 3.2

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226,619 228,088 221,037 222,561 9,263 8,380 10,618 10,070 4.1 3.7 4.8 4.5

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,604,579 1,611,237 1,607,105 1,613,206 51,942 45,952 50,138 46,119 3.2 2.9 3.1 2.9

San Francisco-Oakland-Hayward. . . . . . . 2,608,606 2,633,310 2,617,117 2,630,977 68,309 61,088 65,402 60,963 2.6 2.3 2.5 2.3

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,086,645 1,101,952 1,090,373 1,103,362 27,599 25,273 26,422 25,485 2.5 2.3 2.4 2.3

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,915 142,963 142,702 142,509 3,937 3,480 3,817 3,571 2.8 2.4 2.7 2.5

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 144,629 144,394 142,585 142,339 5,164 4,809 5,837 5,618 3.6 3.3 4.1 3.9

Santa Maria-Santa Barbara. . . . . . . . . . . . 218,635 219,350 218,589 218,707 7,312 6,585 7,329 6,878 3.3 3.0 3.4 3.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 265,201 264,425 261,752 261,799 6,687 6,035 6,502 6,209 2.5 2.3 2.5 2.4

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 329,029 326,961 326,746 324,747 17,168 16,229 17,860 17,246 5.2 5.0 5.5 5.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 210,499 208,941 210,504 208,465 7,601 6,800 7,475 6,926 3.6 3.3 3.6 3.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 201,854 202,693 203,862 203,535 16,931 16,226 17,396 17,303 8.4 8.0 8.5 8.5

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,629 74,678 74,294 75,352 4,233 3,852 4,627 4,288 5.7 5.2 6.2 5.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,135,286 3,178,231 3,133,401 3,181,397 106,223 75,810 111,166 79,586 3.4 2.4 3.5 2.5

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,284 199,825 196,896 199,892 5,897 4,155 5,905 4,197 3.0 2.1 3.0 2.1

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 356,469 361,924 356,109 363,747 14,362 10,112 15,008 10,630 4.0 2.8 4.2 2.9

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,666,651 1,687,201 1,659,436 1,688,087 54,623 39,396 56,732 40,641 3.3 2.3 3.4 2.4

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 206,009 211,608 206,475 211,506 6,069 4,237 6,222 4,389 2.9 2.0 3.0 2.1

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 77,589 78,346 77,634 77,993 3,022 2,173 3,253 2,300 3.9 2.8 4.2 2.9

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169,734 173,988 168,221 172,731 5,233 3,818 5,352 3,992 3.1 2.2 3.2 2.3

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,607 76,350 76,703 76,897 3,846 2,695 4,045 2,890 5.0 3.5 5.3 3.8

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,915,336 1,929,565 1,920,441 1,934,041 66,683 67,229 60,478 63,780 3.5 3.5 3.1 3.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 466,514 471,753 470,566 473,847 16,515 16,644 14,932 15,824 3.5 3.5 3.2 3.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,623 107,736 107,558 108,310 3,056 3,077 2,775 2,971 2.9 2.9 2.6 2.7

Hartford-West Hartford-East Hartford. . . . 630,843 632,683 631,538 634,231 21,802 22,334 19,784 21,055 3.5 3.5 3.1 3.3

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 330,043 332,945 329,597 332,942 11,324 11,378 10,176 10,683 3.4 3.4 3.1 3.2

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

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 142,468 143,035 142,507 143,530 4,754 4,761 4,508 4,656 3.3 3.3 3.2 3.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 112,797 113,439 113,033 113,807 4,924 4,849 4,563 4,623 4.4 4.3 4.0 4.1

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481,871 490,529 482,804 493,066 16,101 18,760 14,349 18,110 3.3 3.8 3.0 3.7

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,126 80,094 78,215 80,169 2,796 3,402 2,451 3,182 3.6 4.2 3.1 4.0

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 189,219 190,816 187,353 189,123 7,764 7,655 8,390 8,946 4.1 4.0 4.5 4.7

District of Columbia. . . . . . . . . . . . . . . . . . . . . 402,446 408,339 402,811 415,088 21,315 21,835 20,563 20,558 5.3 5.3 5.1 5.0

Washington-Arlington-Alexandria. . . . . . . 3,393,284 3,487,666 3,385,124 3,492,075 104,742 98,416 98,787 96,779 3.1 2.8 2.9 2.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,305,265 10,566,507 10,293,133 10,479,146 340,078 307,598 335,916 287,779 3.3 2.9 3.3 2.7

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 343,976 356,370 346,877 356,213 10,996 9,996 10,902 9,432 3.2 2.8 3.1 2.6

Crestview-Fort Walton Beach-Destin. . . . 126,655 130,198 125,952 128,376 3,433 3,021 3,539 2,998 2.7 2.3 2.8 2.3

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302,842 306,739 301,176 305,407 10,685 9,734 10,604 9,317 3.5 3.2 3.5 3.1

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,079 147,623 145,611 146,363 4,466 4,077 4,352 3,725 3.0 2.8 3.0 2.5

Homosassa Springs. . . . . . . . . . . . . . . . . . . 48,201 48,568 47,863 48,116 2,307 2,006 2,317 1,966 4.8 4.1 4.8 4.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 775,655 800,072 769,881 792,056 24,420 22,443 23,986 20,946 3.1 2.8 3.1 2.6

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 304,059 306,181 302,265 305,445 11,390 10,414 11,074 9,662 3.7 3.4 3.7 3.2

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,163,808 3,270,402 3,168,158 3,221,968 107,396 94,652 101,211 87,410 3.4 2.9 3.2 2.7

Naples-Immokalee-Marco Island. . . . . . . . 176,782 181,170 179,149 183,849 5,881 5,326 5,661 4,925 3.3 2.9 3.2 2.7

North Port-Sarasota-Bradenton. . . . . . . . . 365,580 370,882 365,866 372,749 11,592 10,407 11,603 9,975 3.2 2.8 3.2 2.7

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,819 139,549 136,236 138,467 5,368 4,745 5,365 4,562 3.9 3.4 3.9 3.3

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,355,177 1,395,626 1,353,797 1,385,303 40,714 37,790 40,219 35,144 3.0 2.7 3.0 2.5

Palm Bay-Melbourne-Titusville. . . . . . . . . 279,292 287,068 277,669 285,519 9,001 8,387 8,991 7,937 3.2 2.9 3.2 2.8

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 94,288 93,348 95,413 91,719 2,839 2,760 6,687 2,606 3.0 3.0 7.0 2.8

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 228,630 229,930 227,183 228,240 7,115 6,542 7,121 6,214 3.1 2.8 3.1 2.7

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 219,745 223,359 219,678 222,195 8,150 7,407 7,992 6,945 3.7 3.3 3.6 3.1

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 71,114 72,667 71,476 73,100 2,685 2,378 2,710 2,326 3.8 3.3 3.8 3.2

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 65,536 67,312 66,266 67,818 2,586 2,296 2,529 2,152 3.9 3.4 3.8 3.2

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,682 35,920 36,158 36,277 1,631 1,468 1,636 1,406 4.6 4.1 4.5 3.9

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 196,582 202,052 196,231 200,427 6,228 5,771 6,216 5,266 3.2 2.9 3.2 2.6

Tampa-St. Petersburg-Clearwater. . . . . . 1,543,442 1,572,438 1,536,852 1,562,597 49,462 45,318 49,015 42,767 3.2 2.9 3.2 2.7

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 31,324 32,127 31,335 32,097 1,443 1,271 1,508 1,324 4.6 4.0 4.8 4.1

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,112,773 5,132,608 5,111,058 5,124,821 191,762 156,277 176,023 139,294 3.8 3.0 3.4 2.7

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,416 66,773 68,204 66,712 3,062 2,447 3,019 2,262 4.5 3.7 4.4 3.4

Athens-Clarke County. . . . . . . . . . . . . . . . . 103,341 102,735 103,622 102,378 3,704 2,888 3,259 2,490 3.6 2.8 3.1 2.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,073,624 3,098,361 3,066,497 3,093,261 109,747 89,284 100,086 79,695 3.6 2.9 3.3 2.6

Augusta-Richmond County. . . . . . . . . . . . . 266,838 268,468 266,171 268,091 10,426 8,147 9,545 7,527 3.9 3.0 3.6 2.8

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,382 53,603 53,430 53,524 1,980 1,638 1,784 1,416 3.7 3.1 3.3 2.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,934 123,569 124,888 123,115 5,439 4,317 4,942 3,934 4.4 3.5 4.0 3.2

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,094 61,253 60,942 60,534 2,809 2,705 2,619 2,194 4.6 4.4 4.3 3.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 103,346 104,994 103,495 105,044 3,166 2,497 2,812 2,195 3.1 2.4 2.7 2.1

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,697 33,831 33,634 33,754 1,346 1,160 1,232 1,041 4.0 3.4 3.7 3.1

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 104,212 103,651 104,859 103,931 4,465 3,439 4,162 3,049 4.3 3.3 4.0 2.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,214 44,712 44,113 44,682 1,850 1,471 1,673 1,389 4.2 3.3 3.8 3.1

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 188,232 187,966 187,340 188,546 6,639 5,491 5,963 4,845 3.5 2.9 3.2 2.6

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,938 64,945 65,291 65,045 2,564 2,054 2,266 1,873 3.9 3.2 3.5 2.9

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 86,457 86,015 86,877 85,677 3,918 2,747 3,844 2,314 4.5 3.2 4.4 2.7

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673,215 663,422 678,100 668,035 17,405 17,488 18,287 16,956 2.6 2.6 2.7 2.5

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 84,790 83,939 85,147 84,260 2,274 2,280 2,297 2,121 2.7 2.7 2.7 2.5

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 462,290 456,535 466,316 459,950 10,977 11,087 12,004 10,880 2.4 2.4 2.6 2.4

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 862,938 888,317 861,411 887,360 19,220 20,718 22,900 25,151 2.2 2.3 2.7 2.8

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 361,662 373,204 365,395 377,621 7,968 8,743 9,259 10,562 2.2 2.3 2.5 2.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 77,092 79,313 77,644 79,169 2,027 2,197 2,520 2,555 2.6 2.8 3.2 3.2

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 70,883 74,007 71,129 74,627 1,323 1,429 1,538 1,720 1.9 1.9 2.2 2.3

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,125 31,976 31,433 32,265 849 905 1,015 995 2.7 2.8 3.2 3.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,812 43,336 42,426 43,789 922 1,003 1,098 1,169 2.2 2.3 2.6 2.7

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,047 54,351 52,998 54,311 1,125 1,191 1,306 1,501 2.1 2.2 2.5 2.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,477,162 6,487,355 6,468,774 6,447,310 263,231 235,472 259,018 218,259 4.1 3.6 4.0 3.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 96,188 96,249 95,626 95,238 4,142 3,353 3,949 2,984 4.3 3.5 4.1 3.1

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 61,427 62,494 61,426 62,365 2,893 2,339 2,817 2,097 4.7 3.7 4.6 3.4

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 122,180 125,578 121,100 124,048 5,553 4,432 5,205 3,902 4.5 3.5 4.3 3.1

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,877,420 4,873,069 4,873,710 4,852,539 182,549 168,980 172,179 158,665 3.7 3.5 3.5 3.3

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,416 33,417 33,218 33,036 1,956 1,627 1,914 1,516 5.9 4.9 5.8 4.6

Davenport-Moline-Rock Island1. . . . . . . . . 193,286 196,472 191,934 194,044 7,701 7,586 7,129 7,577 4.0 3.9 3.7 3.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,130 50,585 49,898 50,176 2,764 2,453 2,762 2,261 5.5 4.8 5.5 4.5

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 56,192 56,785 56,305 56,435 2,874 2,458 2,914 2,620 5.1 4.3 5.2 4.6

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,323 180,216 181,127 177,301 8,920 7,574 8,694 7,071 4.9 4.2 4.8 4.0

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,798 168,985 171,319 168,016 9,039 8,527 16,052 8,529 5.4 5.0 9.4 5.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,527 112,484 111,458 111,781 4,715 3,926 4,646 3,597 4.2 3.5 4.2 3.2

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,393,074 3,377,838 3,387,893 3,365,352 112,491 101,447 111,876 106,202 3.3 3.0 3.3 3.2

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 80,893 80,214 80,789 80,031 2,973 2,492 2,747 2,568 3.7 3.1 3.4 3.2

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,399 45,602 45,671 45,730 1,106 986 1,115 1,052 2.4 2.2 2.4 2.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Indiana - Continued

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 116,099 115,956 115,736 115,691 3,172 3,214 3,181 3,294 2.7 2.8 2.7 2.8

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 165,713 164,507 165,658 164,475 5,143 4,673 4,912 4,926 3.1 2.8 3.0 3.0

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 219,048 221,972 217,697 218,994 6,646 7,209 6,327 6,881 3.0 3.2 2.9 3.1

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,066,591 1,061,054 1,063,148 1,059,419 33,614 29,085 32,520 30,552 3.2 2.7 3.1 2.9

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,350 37,713 39,569 37,561 1,350 1,204 3,161 1,265 3.6 3.2 8.0 3.4

Lafayette-West Lafayette. . . . . . . . . . . . . . 113,795 110,440 112,984 109,718 3,574 3,076 3,353 3,198 3.1 2.8 3.0 2.9

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,608 47,221 47,787 47,162 1,892 1,679 1,935 1,829 4.0 3.6 4.0 3.9

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,782 54,526 54,518 54,745 2,127 1,939 2,074 2,033 3.9 3.6 3.8 3.7

South Bend-Mishawaka. . . . . . . . . . . . . . . 162,196 161,321 161,687 161,126 5,641 5,525 5,419 5,579 3.5 3.4 3.4 3.5

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,549 76,499 77,361 76,418 3,306 2,759 3,183 2,994 4.3 3.6 4.1 3.9

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,695,446 1,774,385 1,691,018 1,768,820 31,524 38,168 31,556 41,064 1.9 2.2 1.9 2.3

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,957 63,552 59,610 63,092 634 856 717 995 1.1 1.3 1.2 1.6

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,332 149,807 142,484 149,974 2,988 3,612 3,102 3,945 2.1 2.4 2.2 2.6

Des Moines-West Des Moines. . . . . . . . . 355,900 379,149 353,450 375,574 6,693 7,945 6,602 8,485 1.9 2.1 1.9 2.3

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,766 58,299 55,433 58,194 891 1,130 981 1,292 1.6 1.9 1.8 2.2

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,784 100,820 97,193 100,275 1,426 1,616 1,476 1,813 1.5 1.6 1.5 1.8

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,462 96,315 93,244 96,877 1,790 2,310 1,859 2,469 1.9 2.4 2.0 2.5

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 90,152 93,647 89,642 92,709 1,693 2,347 1,696 2,470 1.9 2.5 1.9 2.7

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,488,086 1,502,927 1,490,418 1,504,743 44,868 42,682 44,166 42,884 3.0 2.8 3.0 2.8

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,491 67,012 66,643 67,306 1,765 1,742 1,767 1,752 2.7 2.6 2.7 2.6

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 49,305 49,434 49,471 49,454 1,235 1,207 1,273 1,233 2.5 2.4 2.6 2.5

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120,026 122,632 119,877 122,399 3,842 3,516 3,712 3,598 3.2 2.9 3.1 2.9

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309,637 311,349 310,890 313,687 10,347 9,790 10,140 9,893 3.3 3.1 3.3 3.2

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,050,539 2,074,332 2,054,178 2,088,173 79,263 77,635 72,305 80,388 3.9 3.7 3.5 3.8

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,503 85,337 83,633 85,354 2,947 3,044 2,630 3,001 3.5 3.6 3.1 3.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 67,085 67,535 67,239 67,826 2,557 2,472 2,310 2,570 3.8 3.7 3.4 3.8

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 271,383 277,046 272,920 278,339 8,521 8,126 7,455 8,411 3.1 2.9 2.7 3.0

Louisville/Jefferson County. . . . . . . . . . . . . 664,268 672,615 666,983 676,072 23,668 21,991 21,900 22,732 3.6 3.3 3.3 3.4

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 55,735 55,593 55,542 55,831 1,997 1,852 1,807 1,906 3.6 3.3 3.3 3.4

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,105,178 2,101,385 2,098,944 2,109,952 97,073 98,917 90,359 102,329 4.6 4.7 4.3 4.8

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,872 62,306 62,595 62,275 3,221 3,127 3,053 3,306 5.1 5.0 4.9 5.3

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 419,725 421,133 419,997 423,482 17,505 18,141 16,093 18,655 4.2 4.3 3.8 4.4

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,306 54,937 54,174 55,245 2,757 2,866 2,615 2,976 5.1 5.2 4.8 5.4

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 87,597 85,399 86,786 84,925 4,060 3,935 3,747 4,038 4.6 4.6 4.3 4.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,434 212,318 211,594 211,512 9,781 9,852 9,135 10,188 4.6 4.6 4.3 4.8

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 114,405 113,891 113,932 113,302 4,061 4,332 3,781 4,583 3.5 3.8 3.3 4.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,544 78,325 79,585 79,153 4,056 4,199 3,837 4,399 5.1 5.4 4.8 5.6

New Orleans-Metairie. . . . . . . . . . . . . . . . . 598,756 601,544 596,750 607,415 26,182 26,310 24,191 26,808 4.4 4.4 4.1 4.4

Shreveport-Bossier City. . . . . . . . . . . . . . . 186,718 183,900 186,258 185,583 9,269 9,467 8,654 9,815 5.0 5.1 4.6 5.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 699,745 692,566 693,756 687,881 20,500 16,386 23,036 18,444 2.9 2.4 3.3 2.7

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,269 71,764 71,476 71,587 2,208 1,739 2,359 1,871 3.1 2.4 3.3 2.6

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,399 55,858 55,925 55,682 1,653 1,370 1,814 1,452 2.9 2.5 3.2 2.6

Portland-South Portland. . . . . . . . . . . . . . . 209,715 208,723 208,589 207,544 5,248 4,260 5,820 4,623 2.5 2.0 2.8 2.2

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,198,764 3,297,387 3,191,352 3,292,061 115,284 106,455 109,903 105,249 3.6 3.2 3.4 3.2

Baltimore-Columbia-Towson. . . . . . . . . . . 1,496,052 1,547,824 1,495,407 1,545,363 54,728 50,710 51,551 49,510 3.7 3.3 3.4 3.2

California-Lexington Park. . . . . . . . . . . . . . 55,244 56,626 54,961 56,420 1,856 1,662 1,776 1,622 3.4 2.9 3.2 2.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,515 45,768 44,339 45,370 2,068 2,285 2,034 2,257 4.6 5.0 4.6 5.0

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 131,799 136,278 132,392 137,341 5,027 4,442 4,808 4,346 3.8 3.3 3.6 3.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,817,350 3,840,687 3,823,218 3,837,116 104,354 94,594 98,823 88,675 2.7 2.5 2.6 2.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 127,539 127,842 124,516 123,533 3,680 3,411 4,012 3,708 2.9 2.7 3.2 3.0

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,821,289 2,844,515 2,827,796 2,844,941 71,261 65,300 66,984 60,618 2.5 2.3 2.4 2.1

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 82,000 82,429 82,856 82,991 2,513 2,273 2,369 2,198 3.1 2.8 2.9 2.6

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 86,114 86,299 86,990 86,898 3,452 3,185 3,277 3,029 4.0 3.7 3.8 3.5

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,365 43,242 43,319 43,164 1,396 1,242 1,462 1,257 3.2 2.9 3.4 2.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 384,172 389,514 385,892 390,230 12,769 11,879 12,003 11,059 3.3 3.0 3.1 2.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 362,453 361,317 364,388 361,837 10,906 9,992 10,166 9,368 3.0 2.8 2.8 2.6

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,909,341 4,938,576 4,893,580 4,934,862 181,296 174,052 166,773 157,495 3.7 3.5 3.4 3.2

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 195,442 195,853 196,725 199,308 5,517 4,988 4,947 4,436 2.8 2.5 2.5 2.2

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 62,506 61,982 63,021 62,912 2,174 2,183 2,109 2,026 3.5 3.5 3.3 3.2

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,815 49,338 50,164 49,857 1,788 2,030 1,754 1,833 3.6 4.1 3.5 3.7

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,149,643 2,175,085 2,129,400 2,148,174 93,159 81,502 78,916 72,550 4.3 3.7 3.7 3.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180,469 183,267 181,767 184,491 7,110 8,840 6,935 7,020 3.9 4.8 3.8 3.8

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 575,240 573,670 578,696 580,641 14,604 14,206 13,815 13,481 2.5 2.5 2.4 2.3

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,850 73,356 74,347 74,749 2,372 2,411 2,310 2,238 3.2 3.3 3.1 3.0

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 168,725 168,748 168,969 170,354 5,069 5,195 4,929 4,808 3.0 3.1 2.9 2.8

Lansing-East Lansing. . . . . . . . . . . . . . . . . 249,413 253,187 251,305 254,591 7,109 9,104 7,526 6,466 2.9 3.6 3.0 2.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,098 39,688 40,274 40,358 1,252 1,246 1,212 1,220 3.1 3.1 3.0 3.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76,181 75,156 76,390 76,354 2,971 2,209 2,794 2,190 3.9 2.9 3.7 2.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,167 77,846 77,669 79,216 2,906 2,801 2,759 2,823 3.8 3.6 3.6 3.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 72,430 73,052 72,828 73,810 2,489 2,281 2,452 2,307 3.4 3.1 3.4 3.1

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,163 85,777 87,094 87,437 3,255 4,119 3,224 3,388 3.8 4.8 3.7 3.9

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,077,928 3,138,147 3,073,359 3,129,485 68,733 79,870 69,288 89,398 2.2 2.5 2.3 2.9

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142,608 145,204 143,339 145,571 3,945 4,579 4,386 5,639 2.8 3.2 3.1 3.9

Mankato-North Mankato. . . . . . . . . . . . . . . 62,681 64,496 61,952 64,315 1,147 1,293 1,052 1,298 1.8 2.0 1.7 2.0

Minneapolis-St. Paul-Bloomington. . . . . . 2,003,584 2,032,710 2,005,563 2,032,283 43,886 51,492 41,742 54,157 2.2 2.5 2.1 2.7

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 123,772 127,239 122,834 126,030 2,328 2,653 2,314 2,940 1.9 2.1 1.9 2.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 112,734 115,833 112,343 115,111 2,441 2,690 2,548 3,158 2.2 2.3 2.3 2.7

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,270,344 1,283,688 1,274,959 1,284,175 54,552 66,490 53,790 70,042 4.3 5.2 4.2 5.5

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 162,291 166,060 162,915 166,323 7,300 8,631 7,248 9,150 4.5 5.2 4.4 5.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 69,102 70,913 69,997 71,592 2,568 3,120 2,518 3,260 3.7 4.4 3.6 4.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269,116 272,560 270,220 271,635 10,237 12,330 10,015 12,973 3.8 4.5 3.7 4.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,045,583 3,141,604 3,039,341 3,128,004 70,459 79,156 75,593 93,595 2.3 2.5 2.5 3.0

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,736 49,358 47,942 49,295 1,056 1,232 1,143 1,513 2.2 2.5 2.4 3.1

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,061 100,325 97,940 100,132 1,549 1,719 1,730 2,172 1.6 1.7 1.8 2.2

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 73,192 75,018 72,897 74,757 1,352 1,435 1,470 1,863 1.8 1.9 2.0 2.5

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,833 86,192 83,847 86,116 1,751 2,066 1,897 2,477 2.1 2.4 2.3 2.9

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,134,437 1,162,766 1,131,451 1,161,907 30,859 31,028 31,057 33,093 2.7 2.7 2.7 2.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,085 64,177 63,040 63,598 1,369 1,474 1,463 1,666 2.2 2.3 2.3 2.6

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,455,409 1,501,286 1,452,805 1,496,955 41,198 40,959 42,518 44,233 2.8 2.7 2.9 3.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 230,389 237,403 231,420 238,243 4,475 5,263 4,895 6,606 1.9 2.2 2.1 2.8

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 528,418 534,388 527,399 537,146 17,784 16,680 18,980 18,309 3.4 3.1 3.6 3.4

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,558 86,947 86,316 87,374 2,698 2,531 2,753 2,684 3.1 2.9 3.2 3.1

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,765 38,002 37,827 38,255 1,249 1,190 1,281 1,226 3.3 3.1 3.4 3.2

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,595 64,892 63,291 64,951 1,898 1,812 2,011 1,989 3.0 2.8 3.2 3.1

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,022,354 1,045,946 1,020,931 1,046,220 25,751 30,541 23,458 28,999 2.5 2.9 2.3 2.8

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,288 44,580 43,231 43,914 1,116 1,863 1,067 1,249 2.6 4.2 2.5 2.8

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,949 186,605 182,547 187,143 4,350 5,031 3,825 4,926 2.4 2.7 2.1 2.6

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 488,718 509,532 486,576 506,412 12,330 13,934 11,586 13,689 2.5 2.7 2.4 2.7

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,516,177 1,567,125 1,518,855 1,572,315 64,664 58,495 64,041 54,471 4.3 3.7 4.2 3.5

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,709 26,903 25,759 26,853 1,062 924 1,079 890 4.1 3.4 4.2 3.3

Las Vegas-Henderson-Paradise. . . . . . . . 1,110,177 1,139,764 1,108,053 1,145,579 50,049 45,267 49,415 41,951 4.5 4.0 4.5 3.7

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256,884 271,567 260,367 272,715 8,518 7,766 8,447 7,297 3.3 2.9 3.2 2.7

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 759,725 774,283 761,578 775,060 15,191 17,913 16,449 17,697 2.0 2.3 2.2 2.3

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 85,611 86,862 85,912 86,786 1,603 1,833 1,750 1,827 1.9 2.1 2.0 2.1

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 120,021 122,210 120,902 123,211 2,333 2,715 2,484 2,709 1.9 2.2 2.1 2.2

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 77,403 78,521 77,128 78,369 1,529 1,650 1,655 1,610 2.0 2.1 2.1 2.1

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,412,319 4,557,721 4,409,867 4,563,111 154,190 149,755 145,777 150,539 3.5 3.3 3.3 3.3

Atlantic City-Hammonton. . . . . . . . . . . . . . 119,829 123,706 118,704 122,463 5,558 5,631 5,504 5,778 4.6 4.6 4.6 4.7

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 43,479 46,362 41,888 45,355 2,485 2,371 3,601 3,604 5.7 5.1 8.6 7.9

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196,542 205,039 197,184 205,574 6,125 6,094 5,698 5,989 3.1 3.0 2.9 2.9

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 64,062 67,429 64,269 67,573 3,179 3,231 3,200 3,349 5.0 4.8 5.0 5.0

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 948,513 967,324 952,647 970,731 46,182 43,970 46,012 44,575 4.9 4.5 4.8 4.6

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 433,428 442,134 436,153 444,243 20,466 19,351 19,947 19,148 4.7 4.4 4.6 4.3

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 53,202 54,262 53,171 53,756 2,944 2,853 2,926 2,948 5.5 5.3 5.5 5.5

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 97,751 99,635 98,138 99,907 5,163 4,956 5,291 5,242 5.3 5.0 5.4 5.2

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,709 74,456 75,162 75,486 3,114 2,750 3,068 2,736 4.2 3.7 4.1 3.6

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,603,222 9,583,705 9,576,358 9,511,374 347,452 373,274 339,417 345,862 3.6 3.9 3.5 3.6

Albany-Schenectady-Troy. . . . . . . . . . . . . . 455,703 450,192 453,576 450,885 14,368 15,466 14,178 14,409 3.2 3.4 3.1 3.2

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 108,095 106,792 107,389 105,918 4,063 4,446 4,036 4,233 3.8 4.2 3.8 4.0

Buffalo-Cheektowaga-Niagara Falls. . . . . 546,329 546,830 542,340 541,404 19,978 21,931 20,485 21,349 3.7 4.0 3.8 3.9

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,258 34,995 35,394 34,747 1,368 1,407 1,286 1,283 3.9 4.0 3.6 3.7

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,607 58,890 59,462 58,492 1,972 2,124 2,272 2,337 3.3 3.6 3.8 4.0

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,467 52,287 51,313 51,775 1,593 1,820 1,539 1,564 3.1 3.5 3.0 3.0

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,936 89,805 89,005 88,809 2,874 3,064 2,804 2,874 3.2 3.4 3.2 3.2

New York-Newark-Jersey City. . . . . . . . . . 9,937,952 10,027,732 9,916,030 9,978,678 356,047 368,011 337,329 342,886 3.6 3.7 3.4 3.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 526,171 527,410 523,910 524,957 18,247 20,214 18,382 19,409 3.5 3.8 3.5 3.7

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 309,179 311,209 308,308 309,043 10,697 12,096 11,044 11,509 3.5 3.9 3.6 3.7

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,561 128,471 129,908 128,168 4,698 5,052 4,910 4,999 3.6 3.9 3.8 3.9

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,263 44,323 44,450 44,186 1,834 2,150 2,179 2,446 4.1 4.9 4.9 5.5

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 5,007,407 5,153,426 4,992,016 5,109,338 181,089 185,225 180,250 173,571 3.6 3.6 3.6 3.4

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236,145 247,607 235,217 244,234 6,727 7,059 6,747 6,432 2.8 2.9 2.9 2.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,364 83,169 81,337 82,388 2,697 2,878 2,712 2,651 3.3 3.5 3.3 3.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,347,774 1,390,489 1,343,343 1,378,010 44,938 44,880 44,468 43,178 3.3 3.2 3.3 3.1

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 299,396 307,411 298,863 304,153 9,517 9,845 9,521 8,998 3.2 3.2 3.2 3.0

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,334 150,831 148,750 150,016 7,173 7,230 7,185 6,841 4.8 4.8 4.8 4.6

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,831 52,844 52,416 53,185 2,104 2,076 2,123 1,923 4.0 3.9 4.1 3.6

Greensboro-High Point. . . . . . . . . . . . . . . . 370,424 377,189 368,821 374,071 13,763 14,299 14,077 13,342 3.7 3.8 3.8 3.6

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,516 91,853 89,483 91,362 3,469 3,630 3,446 3,398 3.9 4.0 3.9 3.7

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 175,686 177,416 176,130 176,695 5,733 6,187 5,863 5,731 3.3 3.5 3.3 3.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 64,242 65,191 64,041 64,753 3,221 2,871 2,942 2,618 5.0 4.4 4.6 4.0

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,437 52,061 51,323 51,761 2,242 1,925 2,146 1,807 4.4 3.7 4.2 3.5

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714,682 742,595 711,827 735,911 22,561 23,310 22,460 21,718 3.2 3.1 3.2 3.0

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,370 65,522 65,596 65,393 3,248 3,210 3,177 2,976 5.0 4.9 4.8 4.6

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 149,297 156,333 149,949 155,563 5,842 5,080 5,511 4,755 3.9 3.2 3.7 3.1

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 328,455 339,506 328,237 334,497 11,258 11,618 11,196 10,857 3.4 3.4 3.4 3.2

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 402,879 404,174 398,404 402,076 7,157 6,958 8,348 8,417 1.8 1.7 2.1 2.1

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,733 67,218 66,201 67,380 1,272 1,235 1,539 1,527 1.9 1.8 2.3 2.3

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136,045 138,130 135,217 138,588 2,338 2,266 2,522 2,632 1.7 1.6 1.9 1.9

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 54,312 55,032 54,111 54,816 964 1,007 1,108 1,180 1.8 1.8 2.0 2.2

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,774,153 5,826,663 5,754,616 5,822,254 246,996 227,937 243,308 220,841 4.3 3.9 4.2 3.8

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 359,552 359,555 358,174 359,485 15,539 14,823 15,524 14,371 4.3 4.1 4.3 4.0

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 200,307 202,151 199,757 201,861 9,099 8,785 9,122 8,860 4.5 4.3 4.6 4.4

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,123,610 1,145,341 1,117,245 1,143,717 42,602 40,864 40,452 39,000 3.8 3.6 3.6 3.4

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,035,215 1,033,425 1,030,378 1,037,709 46,825 33,512 45,012 34,193 4.5 3.2 4.4 3.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,089,855 1,105,977 1,085,672 1,109,726 40,923 38,993 39,665 37,130 3.8 3.5 3.7 3.3

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386,105 393,175 385,780 392,168 16,357 16,373 15,893 14,826 4.2 4.2 4.1 3.8

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,034 48,269 47,843 48,330 1,999 1,935 1,922 1,851 4.2 4.0 4.0 3.8

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,608 52,944 52,471 53,495 2,359 2,263 2,433 2,339 4.5 4.3 4.6 4.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,368 64,668 63,182 64,062 2,770 3,245 2,703 2,748 4.4 5.0 4.3 4.3

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 302,636 305,030 302,741 303,197 14,240 12,838 14,287 12,223 4.7 4.2 4.7 4.0

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,272 50,572 49,874 50,087 2,730 2,888 2,719 2,792 5.4 5.7 5.5 5.6

Youngstown-Warren-Boardman. . . . . . . . 240,096 238,388 239,635 237,398 13,085 13,118 12,986 13,181 5.4 5.5 5.4 5.6

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,844,742 1,856,199 1,845,292 1,841,383 56,342 61,944 53,190 63,239 3.1 3.3 2.9 3.4

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,276 27,026 27,183 26,805 737 795 704 862 2.7 2.9 2.6 3.2

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,024 51,351 51,118 51,228 1,897 1,877 1,774 1,899 3.7 3.7 3.5 3.7

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 684,926 689,733 684,831 684,701 19,361 20,425 18,145 21,373 2.8 3.0 2.6 3.1

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,148 480,273 480,197 476,306 15,072 17,053 14,250 16,614 3.2 3.6 3.0 3.5

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,117,663 2,119,417 2,117,387 2,109,609 83,429 74,476 85,731 65,040 3.9 3.5 4.0 3.1

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,855 59,176 58,968 58,830 2,640 2,391 2,779 2,100 4.5 4.0 4.7 3.6

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 95,831 97,296 96,098 96,530 3,689 3,270 4,002 2,982 3.8 3.4 4.2 3.1

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,013 48,966 49,307 49,151 1,556 1,334 1,495 1,097 3.2 2.7 3.0 2.2

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,153 181,773 182,036 181,396 7,904 6,987 7,932 6,059 4.3 3.8 4.4 3.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 36,382 36,501 36,131 36,179 1,846 1,635 1,948 1,467 5.1 4.5 5.4 4.1

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,374 106,829 105,973 106,454 4,591 3,882 4,778 3,408 4.3 3.6 4.5 3.2

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,323,190 1,336,179 1,329,266 1,337,907 49,507 46,922 49,963 41,809 3.7 3.5 3.8 3.1

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203,005 201,962 202,927 200,139 8,332 7,545 8,566 6,519 4.1 3.7 4.2 3.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,444,551 6,570,222 6,437,401 6,542,425 248,016 285,827 233,777 278,771 3.8 4.4 3.6 4.3

Allentown-Bethlehem-Easton. . . . . . . . . . . 439,216 447,869 436,483 447,560 17,811 19,275 16,519 18,455 4.1 4.3 3.8 4.1

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,745 60,475 59,220 60,346 2,210 2,703 2,136 2,697 3.8 4.5 3.6 4.5

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,701 43,572 42,568 43,279 1,568 1,787 1,512 1,752 3.7 4.1 3.6 4.0

Chambersburg-Waynesboro. . . . . . . . . . . 76,976 79,518 77,501 79,510 2,540 3,014 2,390 2,913 3.3 3.8 3.1 3.7

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,761 83,782 81,791 83,596 3,964 4,504 3,823 4,463 4.8 5.4 4.7 5.3

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,549 131,296 129,319 130,807 5,191 5,745 4,967 5,850 4.0 4.4 3.8 4.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,105 56,027 54,921 55,512 1,677 1,805 1,481 1,727 3.0 3.2 2.7 3.1

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 296,672 300,768 296,465 300,750 9,960 11,652 9,410 10,971 3.4 3.9 3.2 3.6

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 58,404 59,548 58,204 59,254 2,556 2,898 2,478 3,028 4.4 4.9 4.3 5.1

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 281,454 285,656 279,701 284,655 8,674 9,979 8,078 9,394 3.1 3.5 2.9 3.3

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,870 73,280 71,018 72,892 2,445 2,852 2,279 2,747 3.4 3.9 3.2 3.8

Philadelphia-Camden-Wilmington. . . . . . . 3,096,866 3,173,357 3,093,266 3,164,985 118,481 131,058 109,302 125,591 3.8 4.1 3.5 4.0

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,208,178 1,223,415 1,208,177 1,217,254 44,687 52,321 42,483 51,801 3.7 4.3 3.5 4.3

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,363 218,185 212,784 217,231 8,138 9,517 7,618 9,202 3.8 4.4 3.6 4.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . 276,991 281,092 278,639 279,906 12,575 14,506 12,079 14,513 4.5 5.2 4.3 5.2

State College. . . . . . . . . . . . . . . . . . . . . . . . 82,361 84,535 82,865 84,411 2,367 2,784 2,138 2,638 2.9 3.3 2.6 3.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 56,607 57,812 56,381 57,587 2,292 2,626 2,290 2,655 4.0 4.5 4.1 4.6

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 233,944 237,502 234,006 237,194 8,178 9,235 7,627 8,802 3.5 3.9 3.3 3.7

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 556,208 558,149 558,933 563,424 19,182 16,205 21,567 18,006 3.4 2.9 3.9 3.2

Providence-Warwick. . . . . . . . . . . . . . . . . . 691,368 694,592 694,124 700,131 23,416 20,280 25,470 21,580 3.4 2.9 3.7 3.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,330,794 2,380,158 2,318,289 2,368,727 75,373 50,186 68,439 50,489 3.2 2.1 3.0 2.1

Charleston-North Charleston. . . . . . . . . . . 385,901 390,273 384,176 389,305 10,462 6,898 9,499 6,942 2.7 1.8 2.5 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 399,763 403,810 396,103 403,000 12,397 7,981 11,276 8,087 3.1 2.0 2.8 2.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,054 97,356 95,928 97,230 3,476 2,236 3,156 2,241 3.6 2.3 3.3 2.3

Greenville-Anderson-Mauldin. . . . . . . . . . . 425,543 434,168 423,423 430,751 12,545 8,402 11,322 8,480 2.9 1.9 2.7 2.0

Hilton Head Island-Bluffton-Beaufort. . . . 87,369 91,486 86,788 90,476 2,648 1,735 2,378 1,695 3.0 1.9 2.7 1.9

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197,538 207,486 194,464 203,876 8,343 6,163 7,916 6,162 4.2 3.0 4.1 3.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 160,137 165,121 158,999 164,071 4,772 3,193 4,274 3,251 3.0 1.9 2.7 2.0

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,164 44,657 44,107 44,503 1,638 1,115 1,502 1,146 3.7 2.5 3.4 2.6

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 461,575 470,707 461,667 471,210 12,065 13,387 12,749 14,944 2.6 2.8 2.8 3.2

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 74,560 75,789 74,378 75,429 2,129 2,288 2,272 2,591 2.9 3.0 3.1 3.4

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 153,741 159,205 154,167 159,825 3,363 3,787 3,502 4,211 2.2 2.4 2.3 2.6

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,259,609 3,354,882 3,255,813 3,355,085 106,795 105,783 98,204 103,165 3.3 3.2 3.0 3.1

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 272,203 276,883 269,455 275,964 9,317 8,333 8,140 8,091 3.4 3.0 3.0 2.9

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 115,031 118,995 115,539 118,607 4,434 4,824 4,047 4,444 3.9 4.1 3.5 3.7

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,630 58,870 58,783 59,824 1,982 1,880 1,841 1,890 3.4 3.2 3.1 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,416 66,360 63,908 66,272 2,275 2,182 2,043 2,112 3.5 3.3 3.2 3.2

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

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 91,597 93,448 90,880 93,495 3,218 3,048 2,999 3,098 3.5 3.3 3.3 3.3

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 136,856 142,222 137,301 142,202 4,554 4,608 4,269 4,554 3.3 3.2 3.1 3.2

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422,838 437,611 421,738 437,679 13,058 12,629 12,123 12,549 3.1 2.9 2.9 2.9

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 636,392 646,723 639,381 649,688 24,943 24,725 22,951 25,246 3.9 3.8 3.6 3.9

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,558 53,145 51,356 53,266 1,783 1,842 1,698 1,829 3.5 3.5 3.3 3.4

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,052,647 1,088,325 1,052,145 1,086,288 27,312 27,780 25,305 26,127 2.6 2.6 2.4 2.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,901,088 14,190,783 13,961,940 14,265,562 489,204 467,680 485,960 477,021 3.5 3.3 3.5 3.3

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,153 77,637 77,284 78,039 2,397 2,245 2,355 2,276 3.1 2.9 3.0 2.9

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,132 132,970 132,672 133,364 3,397 3,242 3,390 3,283 2.6 2.4 2.6 2.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,203,065 1,230,534 1,207,111 1,234,797 33,376 31,388 32,915 31,359 2.8 2.6 2.7 2.5

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 177,316 178,164 176,834 177,867 9,074 8,827 9,150 9,214 5.1 5.0 5.2 5.2

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 163,865 164,651 164,708 165,593 8,705 8,458 8,793 8,938 5.3 5.1 5.3 5.4

College Station-Bryan. . . . . . . . . . . . . . . . . 136,391 138,796 136,390 139,222 3,670 3,615 3,607 3,603 2.7 2.6 2.6 2.6

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 207,479 209,883 209,039 210,576 8,945 8,230 8,937 8,517 4.3 3.9 4.3 4.0

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,928,885 4,030,421 3,948,427 4,061,740 128,366 123,844 126,608 123,322 3.3 3.1 3.2 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362,407 365,865 362,747 368,879 14,312 13,541 14,047 13,634 3.9 3.7 3.9 3.7

Houston-The Woodlands-Sugar Land. . . 3,403,759 3,476,436 3,420,558 3,500,133 131,468 123,023 130,454 126,404 3.9 3.5 3.8 3.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 176,049 180,120 177,549 181,634 6,956 6,337 6,849 6,435 4.0 3.5 3.9 3.5

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,413 118,108 117,309 118,898 4,068 4,043 4,047 4,191 3.5 3.4 3.4 3.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,232 97,523 98,464 97,592 3,761 3,507 3,691 3,601 3.8 3.6 3.7 3.7

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,976 165,275 163,408 165,689 4,587 4,371 4,493 4,332 2.8 2.6 2.7 2.6

McAllen-Edinburg-Mission. . . . . . . . . . . . . 345,285 355,574 348,987 358,376 19,020 19,778 20,259 21,905 5.5 5.6 5.8 6.1

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107,454 108,004 107,736 108,457 2,106 2,243 2,083 2,313 2.0 2.1 1.9 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,853 87,734 86,910 87,863 2,057 2,369 2,043 2,522 2.4 2.7 2.4 2.9

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,893 56,220 56,098 56,278 1,683 1,611 1,692 1,634 3.0 2.9 3.0 2.9

San Antonio-New Braunfels. . . . . . . . . . . . 1,191,437 1,226,439 1,196,835 1,230,340 37,225 35,679 36,813 35,968 3.1 2.9 3.1 2.9

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 63,863 64,870 64,302 65,221 1,942 1,877 1,923 1,921 3.0 2.9 3.0 2.9

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,123 64,953 65,391 65,217 3,149 2,584 3,065 2,568 4.8 4.0 4.7 3.9

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108,396 108,909 108,817 109,526 3,797 3,412 3,743 3,483 3.5 3.1 3.4 3.2

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,701 46,310 47,058 46,679 1,597 1,527 1,610 1,639 3.4 3.3 3.4 3.5

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,360 126,507 125,969 127,299 4,108 3,944 4,095 3,944 3.3 3.1 3.3 3.1

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 65,741 65,935 66,105 66,229 2,029 1,928 2,060 1,942 3.1 2.9 3.1 2.9

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,581,739 1,620,475 1,584,804 1,633,726 45,535 29,957 44,023 30,819 2.9 1.8 2.8 1.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,851 73,373 71,918 73,570 1,715 1,117 1,692 1,126 2.4 1.5 2.4 1.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 327,041 337,431 327,254 339,781 9,649 6,085 9,180 6,252 3.0 1.8 2.8 1.8

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 310,095 318,181 310,416 321,523 8,153 5,392 7,738 5,438 2.6 1.7 2.5 1.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 75,372 77,507 75,364 78,100 2,337 1,600 2,322 1,649 3.1 2.1 3.1 2.1

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 655,548 668,907 658,694 675,387 18,720 12,439 18,030 12,706 2.9 1.9 2.7 1.9

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344,338 339,228 344,435 339,907 6,419 5,434 8,218 7,328 1.9 1.6 2.4 2.2

Burlington-South Burlington. . . . . . . . . . . . 125,505 126,186 125,252 125,995 2,050 1,689 2,489 2,235 1.6 1.3 2.0 1.8

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,332,241 4,444,585 4,319,915 4,442,397 115,281 106,915 108,524 109,049 2.7 2.4 2.5 2.5

Blacksburg-Christiansburg-Radford. . . . . 90,553 89,414 90,375 92,206 2,479 2,300 2,409 2,366 2.7 2.6 2.7 2.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,483 122,880 119,530 122,957 2,917 2,619 2,752 2,718 2.4 2.1 2.3 2.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 66,412 68,771 66,543 68,337 1,732 1,485 1,659 1,526 2.6 2.2 2.5 2.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,491 125,865 122,469 125,143 3,632 3,449 3,433 3,542 3.0 2.7 2.8 2.8

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 676,836 693,313 673,149 694,760 19,220 17,831 17,975 18,041 2.8 2.6 2.7 2.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,853 161,738 155,643 161,305 4,071 3,915 3,808 4,018 2.6 2.4 2.4 2.5

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,746 61,615 59,718 61,415 1,506 1,389 1,410 1,379 2.5 2.3 2.4 2.2

Virginia Beach-Norfolk-Newport News. . . 845,987 863,369 840,941 860,647 25,012 23,350 23,747 23,611 3.0 2.7 2.8 2.7

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,448 75,367 72,119 75,032 1,868 1,706 1,768 1,749 2.6 2.3 2.5 2.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,829,284 3,959,290 3,828,288 3,971,745 156,123 159,682 169,864 157,780 4.1 4.0 4.4 4.0

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 113,257 118,133 114,478 118,627 4,834 5,732 5,228 5,887 4.3 4.9 4.6 5.0

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 124,369 130,523 125,449 132,292 5,309 5,797 5,586 5,756 4.3 4.4 4.5 4.4

Kennewick-Richland. . . . . . . . . . . . . . . . . . 141,665 148,341 140,632 147,318 6,416 7,176 7,326 7,964 4.5 4.8 5.2 5.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,206 47,907 46,663 48,468 2,435 2,831 2,621 2,864 5.3 5.9 5.6 5.9

Mount Vernon-Anacortes. . . . . . . . . . . . . . 61,595 63,716 61,408 63,905 2,895 3,344 3,085 3,526 4.7 5.2 5.0 5.5

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 139,676 146,659 140,936 148,329 6,002 6,978 6,477 7,034 4.3 4.8 4.6 4.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,117,874 2,188,523 2,127,070 2,203,712 77,856 71,157 83,265 63,848 3.7 3.3 3.9 2.9

Spokane-Spokane Valley. . . . . . . . . . . . . . 271,270 283,806 274,118 285,890 12,474 13,913 13,546 14,475 4.6 4.9 4.9 5.1

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 32,843 33,816 32,513 33,723 1,318 1,512 1,407 1,529 4.0 4.5 4.3 4.5

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 69,274 70,064 64,855 67,083 2,662 2,920 3,166 3,457 3.8 4.2 4.9 5.2

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,495 136,906 126,242 129,077 6,590 7,249 8,394 9,111 4.9 5.3 6.6 7.1

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 788,391 810,483 781,723 803,798 35,784 36,518 35,750 38,960 4.5 4.5 4.6 4.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,610 46,930 44,627 46,080 2,227 2,188 2,310 2,397 4.9 4.7 5.2 5.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,340 93,983 91,279 93,361 4,409 4,173 4,333 4,430 4.8 4.4 4.7 4.7

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 145,452 147,127 144,570 146,846 7,014 6,695 6,752 6,806 4.8 4.6 4.7 4.6

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 69,548 70,594 68,955 70,202 2,724 2,467 2,621 2,557 3.9 3.5 3.8 3.6

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 37,962 39,217 37,726 39,002 1,814 1,930 1,847 2,064 4.8 4.9 4.9 5.3

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,715 69,393 67,457 69,066 2,885 3,588 2,845 3,765 4.3 5.2 4.2 5.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,121,149 3,112,283 3,116,247 3,102,020 74,734 85,913 77,545 90,771 2.4 2.8 2.5 2.9

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130,174 129,077 130,308 128,992 2,863 3,101 2,912 3,232 2.2 2.4 2.2 2.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,637 92,378 92,945 91,782 2,035 2,366 2,102 2,467 2.2 2.6 2.3 2.7

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,705 56,922 57,564 56,714 1,180 1,401 1,185 1,397 2.0 2.5 2.1 2.5

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,833 176,186 176,011 175,631 3,879 4,505 3,910 4,718 2.2 2.6 2.2 2.7

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,514 85,428 85,503 85,804 2,154 2,723 2,837 2,926 2.5 3.2 3.3 3.4

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 77,662 78,490 77,926 78,626 1,588 1,784 1,606 1,838 2.0 2.3 2.1 2.3

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386,487 387,071 387,637 387,083 7,515 8,329 7,445 8,512 1.9 2.2 1.9 2.2

Milwaukee-Waukesha-West Allis. . . . . . . 822,019 824,356 819,065 823,180 22,348 25,671 22,596 26,353 2.7 3.1 2.8 3.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 92,273 91,911 92,209 91,918 2,068 2,382 2,040 2,440 2.2 2.6 2.2 2.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,681 98,417 98,565 97,942 2,876 3,507 2,909 3,628 2.9 3.6 3.0 3.7

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,531 62,688 62,262 62,184 1,290 1,497 1,325 1,591 2.1 2.4 2.1 2.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,579 73,555 73,764 73,394 1,560 1,777 1,539 1,813 2.1 2.4 2.1 2.5

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289,628 293,236 289,088 294,329 10,831 9,580 11,587 10,524 3.7 3.3 4.0 3.6

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,013 39,291 39,147 39,687 1,734 1,447 1,719 1,535 4.4 3.7 4.4 3.9

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,340 48,206 47,773 48,555 1,756 1,577 1,784 1,609 3.7 3.3 3.7 3.3

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,073,873 1,062,590 1,066,244 1,045,943 89,194 95,462 81,077 88,581 8.3 9.0 7.6 8.5

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 85,162 84,837 84,842 83,974 9,152 9,449 8,957 9,397 10.7 11.1 10.6 11.2

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,993 51,877 51,890 51,775 5,188 5,569 5,164 5,788 10.0 10.7 10.0 11.2

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,683 19,492 19,563 19,196 2,449 2,613 2,323 2,514 12.4 13.4 11.9 13.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,591 27,224 27,275 26,791 2,860 2,829 2,602 2,569 10.4 10.4 9.5 9.6

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,008 90,075 89,586 88,494 9,685 11,141 9,045 10,277 10.8 12.4 10.1 11.6

San German. . . . . . . . . . . . . . . . . . . . . . . . . 34,846 35,064 34,563 34,250 3,679 3,868 3,364 3,431 10.6 11.0 9.7 10.0

San Juan-Carolina-Caguas. . . . . . . . . . . . 724,383 712,737 718,434 700,669 51,263 54,495 45,152 49,384 7.1 7.6 6.3 7.0

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

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

p Preliminary

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

Management and Budget Bulletin No. 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

October November Number Percent of labor force

2018 2019 2018 2019p

October November October November

2018 2019 2018 2019p 2018 2019 2018 2019p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,542,699 19,588,210 19,562,413 19,616,666 772,789 719,195 760,287 719,250 4.0 3.7 3.9 3.7

Los Angeles-Long Beach-Anaheim. . . 6,806,284 6,797,275 6,817,785 6,833,846 286,727 275,353 278,806 261,949 4.2 4.1 4.1 3.8

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,640,925 1,634,233 1,642,110 1,630,091 46,639 41,319 44,401 41,329 2.8 2.5 2.7 2.5

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,165,359 5,163,042 5,175,675 5,203,755 240,088 234,034 234,405 220,620 4.6 4.5 4.5 4.2

San Francisco-Oakland-Hayward. . . . . 2,608,606 2,633,310 2,617,117 2,630,977 68,309 61,088 65,402 60,963 2.6 2.3 2.5 2.3

Oakland-Hayward-Berkeley. . . . . . . . 1,422,748 1,431,158 1,427,522 1,428,832 42,054 38,052 40,455 37,939 3.0 2.7 2.8 2.7

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,042,990 1,058,898 1,047,093 1,058,897 22,890 20,154 21,770 20,150 2.2 1.9 2.1 1.9

San Rafael. . . . . . . . . . . . . . . . . . . . . . 142,868 143,254 142,502 143,248 3,365 2,882 3,177 2,874 2.4 2.0 2.2 2.0

District of Columbia. . . . . . . . . . . . . . . . . . . 402,446 408,339 402,811 415,088 21,315 21,835 20,563 20,558 5.3 5.3 5.1 5.0

Washington-Arlington-Alexandria2. . . . 3,393,284 3,487,666 3,385,124 3,492,075 104,742 98,416 98,787 96,779 3.1 2.8 2.9 2.8

Silver Spring-Frederick-Rockville3.. . 686,453 703,794 683,897 702,944 20,991 19,261 19,785 18,662 3.1 2.7 2.9 2.7

Washington-Arlington-Alexandria2.. . 2,706,831 2,783,872 2,701,227 2,789,131 83,751 79,155 79,002 78,117 3.1 2.8 2.9 2.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,305,265 10,566,507 10,293,133 10,479,146 340,078 307,598 335,916 287,779 3.3 2.9 3.3 2.7

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,163,808 3,270,402 3,168,158 3,221,968 107,396 94,652 101,211 87,410 3.4 2.9 3.2 2.7

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,047,301 1,061,181 1,042,740 1,052,094 32,321 29,630 31,944 27,798 3.1 2.8 3.1 2.6

Miami-Miami Beach-Kendall. . . . . . . 1,381,547 1,463,774 1,386,673 1,430,295 50,415 42,518 45,184 38,784 3.6 2.9 3.3 2.7

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 734,960 745,447 738,745 739,579 24,660 22,504 24,083 20,828 3.4 3.0 3.3 2.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,477,162 6,487,355 6,468,774 6,447,310 263,231 235,472 259,018 218,259 4.1 3.6 4.0 3.4

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,877,420 4,873,069 4,873,710 4,852,539 182,549 168,980 172,179 158,665 3.7 3.5 3.5 3.3

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,732,976 3,720,732 3,728,038 3,708,631 134,188 126,805 123,652 116,753 3.6 3.4 3.3 3.1

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 331,020 333,596 332,238 331,472 15,104 12,439 15,572 11,806 4.6 3.7 4.7 3.6

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 343,807 344,027 343,936 342,379 14,617 13,237 14,265 14,211 4.3 3.8 4.1 4.2

Lake County-Kenosha County2. . . . 469,617 474,714 469,498 470,057 18,640 16,499 18,690 15,895 4.0 3.5 4.0 3.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,817,350 3,840,687 3,823,218 3,837,116 104,354 94,594 98,823 88,675 2.7 2.5 2.6 2.3

Boston-Cambridge-Nashua2. . . . . . . . . 2,821,289 2,844,515 2,827,796 2,844,941 71,261 65,300 66,984 60,618 2.5 2.3 2.4 2.1

Boston-Cambridge-Newton. . . . . . . . 1,686,619 1,702,151 1,689,324 1,701,821 40,597 36,388 37,737 33,467 2.4 2.1 2.2 2.0

Brockton-Bridgewater-Easton. . . . . . 111,814 112,400 112,319 112,892 3,446 3,064 3,179 2,835 3.1 2.7 2.8 2.5

Framingham. . . . . . . . . . . . . . . . . . . . . 163,791 164,064 163,941 163,997 3,837 3,422 3,504 3,088 2.3 2.1 2.1 1.9

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 117,900 118,993 118,090 119,156 3,037 2,961 2,999 2,857 2.6 2.5 2.5 2.4

Lawrence-Methuen Town-Salem2.. . 99,233 98,628 99,127 98,359 3,652 3,389 3,432 3,165 3.7 3.4 3.5 3.2

Lowell-Billerica-Chelmsford2. . . . . . . 197,969 199,077 198,295 198,871 5,316 4,895 5,023 4,613 2.7 2.5 2.5 2.3

Lynn-Saugus-Marblehead. . . . . . . . . 87,157 88,031 87,547 87,892 2,468 2,230 2,254 2,024 2.8 2.5 2.6 2.3

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 173,942 177,318 175,641 177,932 3,934 4,416 4,186 4,416 2.3 2.5 2.4 2.5

Peabody-Salem-Beverly. . . . . . . . . . . 95,224 96,170 95,400 95,905 2,468 2,214 2,297 2,010 2.6 2.3 2.4 2.1

Taunton-Middleborough-Norton. . . . 87,640 87,683 88,112 88,116 2,506 2,321 2,373 2,143 2.9 2.6 2.7 2.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,909,341 4,938,576 4,893,580 4,934,862 181,296 174,052 166,773 157,495 3.7 3.5 3.4 3.2

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,149,643 2,175,085 2,129,400 2,148,174 93,159 81,502 78,916 72,550 4.3 3.7 3.7 3.4

Detroit-Dearborn-Livonia. . . . . . . . . . 802,052 809,113 793,199 799,899 43,101 36,365 35,833 32,284 5.4 4.5 4.5 4.0

Warren-Troy-Farmington Hills. . . . . . 1,347,592 1,365,973 1,336,201 1,348,277 50,059 45,137 43,083 40,267 3.7 3.3 3.2 3.0

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,603,222 9,583,705 9,576,358 9,511,374 347,452 373,274 339,417 345,862 3.6 3.9 3.5 3.6

New York-Newark-Jersey City2. . . . . . 9,937,952 10,027,732 9,916,030 9,978,678 356,047 368,011 337,329 342,886 3.6 3.7 3.4 3.4

Dutchess County-Putnam County.. . 196,208 196,247 196,123 196,175 6,237 6,968 6,005 6,429 3.2 3.6 3.1 3.3

Nassau County-Suffolk County. . . . . 1,487,221 1,489,807 1,481,455 1,484,057 46,447 51,485 45,686 48,512 3.1 3.5 3.1 3.3

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,214,580 1,258,990 1,213,853 1,259,965 43,587 42,490 40,270 41,877 3.6 3.4 3.3 3.3

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,039,943 7,082,688 7,024,599 7,038,481 259,776 267,068 245,368 246,068 3.7 3.8 3.5 3.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,444,551 6,570,222 6,437,401 6,542,425 248,016 285,827 233,777 278,771 3.8 4.4 3.6 4.3

Philadelphia-Camden-Wilmington2. . . . 3,096,866 3,173,357 3,093,266 3,164,985 118,481 131,058 109,302 125,591 3.8 4.1 3.5 4.0

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 623,232 640,110 623,304 638,974 22,455 22,072 21,276 21,975 3.6 3.4 3.4 3.4

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,077,100 1,101,242 1,074,776 1,092,875 34,724 39,682 31,958 37,513 3.2 3.6 3.0 3.4

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,016,468 1,042,606 1,013,168 1,040,404 48,114 54,571 44,307 52,092 4.7 5.2 4.4 5.0

Wilmington3. . . . . . . . . . . . . . . . . . . . . 380,066 389,399 382,018 392,732 13,188 14,733 11,761 14,011 3.5 3.8 3.1 3.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,901,088 14,190,783 13,961,940 14,265,562 489,204 467,680 485,960 477,021 3.5 3.3 3.5 3.3

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,928,885 4,030,421 3,948,427 4,061,740 128,366 123,844 126,608 123,322 3.3 3.1 3.2 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,650,889 2,732,133 2,665,536 2,751,122 86,951 82,489 85,627 82,931 3.3 3.0 3.2 3.0

Fort Worth-Arlington. . . . . . . . . . . . . . 1,277,996 1,298,288 1,282,891 1,310,618 41,415 41,355 40,981 40,391 3.2 3.2 3.2 3.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,829,284 3,959,290 3,828,288 3,971,745 156,123 159,682 169,864 157,780 4.1 4.0 4.4 4.0

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,117,874 2,188,523 2,127,070 2,203,712 77,856 71,157 83,265 63,848 3.7 3.3 3.9 2.9

Seattle-Bellevue-Everett. . . . . . . . . . . 1,688,061 1,738,839 1,693,502 1,749,705 57,768 48,394 61,951 40,729 3.4 2.8 3.7 2.3

Tacoma-Lakewood. . . . . . . . . . . . . . . 429,813 449,684 433,568 454,007 20,088 22,763 21,314 23,119 4.7 5.1 4.9 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

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,059.9 2,105.7 2,064.4 2,114.8 50.4 2.4

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.4 47.2 47.5 0.3 0.6

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 68.8 67.3 69.3 2.0 3.0

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541.9 551.3 544.1 553.6 9.5 1.7

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.5 79.4 76.5 79.4 2.9 3.8

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 57.5 56.8 58.0 1.2 2.1

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.9 59.3 58.8 59.6 0.8 1.4

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.2 57.9 58.3 0.4 0.7

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.4 38.9 38.2 39.1 0.9 2.4

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240.5 247.2 242.3 248.1 5.8 2.4

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.3 189.1 186.7 189.7 3.0 1.6

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.6 179.9 177.2 180.1 2.9 1.6

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 114.7 111.9 114.7 2.8 2.5

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323.6 323.5 313.8 314.9 1.1 0.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.8 175.4 173.4 174.6 1.2 0.7

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.9 37.6 36.7 36.8 0.1 0.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,903.6 2,974.0 2,936.5 3,008.2 71.7 2.4

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.0 70.4 69.0 70.0 1.0 1.4

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 53.1 52.2 53.8 1.6 3.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,145.1 2,203.0 2,169.3 2,225.8 56.5 2.6

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 67.3 67.0 67.8 0.8 1.2

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 34.4 34.1 34.6 0.5 1.5

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 387.2 393.8 391.7 398.3 6.6 1.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.8 56.8 58.3 57.8 -0.5 -0.9

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,273.2 1,291.8 1,276.7 1,292.3 15.6 1.2

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261.1 271.3 262.5 271.9 9.4 3.6

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.8 113.5 114.4 114.2 -0.2 -0.2

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.8 39.3 38.7 39.2 0.5 1.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.1 60.6 59.4 61.0 1.6 2.7

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.7 368.3 366.0 369.5 3.5 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 33.1 33.6 33.0 -0.6 -1.8

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,344.3 17,660.6 17,440.7 17,766.9 326.2 1.9

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 270.3 275.8 272.6 278.4 5.8 2.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.8 86.0 84.5 86.0 1.5 1.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 53.1 53.3 53.8 0.5 0.9

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.3 367.7 361.7 369.3 7.6 2.1

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 41.7 41.1 41.8 0.7 1.7

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,217.4 6,302.2 6,247.2 6,343.2 96.0 1.5

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 40.1 39.2 40.1 0.9 2.3

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 72.9 68.8 72.1 3.3 4.8

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179.4 182.5 179.2 182.7 3.5 2.0

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.9 76.7 74.9 75.9 1.0 1.3

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.3 313.2 312.5 315.2 2.7 0.9

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 68.8 67.4 68.8 1.4 2.1

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,518.8 1,550.6 1,538.9 1,571.9 33.0 2.1

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,009.4 1,024.8 1,017.0 1,033.5 16.5 1.6

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.7 150.1 146.2 150.9 4.7 3.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,495.4 1,528.0 1,503.8 1,538.1 34.3 2.3

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,461.0 2,528.0 2,479.2 2,538.7 59.5 2.4

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,132.9 1,166.1 1,141.9 1,174.4 32.5 2.8

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 119.5 121.5 120.2 122.3 2.1 1.7

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.4 105.9 103.9 105.6 1.7 1.6

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 186.0 190.0 187.4 191.0 3.6 1.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211.2 213.9 209.7 213.4 3.7 1.8

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.4 244.6 245.6 246.1 0.5 0.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.2 142.5 142.6 143.0 0.4 0.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.9 130.2 128.9 130.6 1.7 1.3

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.1 45.9 45.4 47.2 1.8 4.0

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,744.8 2,798.6 2,750.4 2,808.5 58.1 2.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197.4 202.4 198.5 202.9 4.4 2.2

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297.1 305.4 297.2 307.2 10.0 3.4

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,513.5 1,544.1 1,510.1 1,546.0 35.9 2.4

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.3 178.1 173.4 178.6 5.2 3.0

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.3 66.7 65.7 66.4 0.7 1.1

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 114.6 110.4 114.2 3.8 3.4

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.9 63.2 62.9 63.7 0.8 1.3

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,704.3 1,709.8 1,714.2 1,717.7 3.5 0.2

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 408.9 412.5 413.0 413.4 0.4 0.1

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.9 78.1 78.6 78.7 0.1 0.1

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 588.4 586.6 591.8 589.6 -2.2 -0.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290.6 292.7 290.7 292.5 1.8 0.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.9 130.1 130.3 130.6 0.3 0.2

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.3 69.9 69.9 70.3 0.4 0.6

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.1 471.4 466.6 473.7 7.1 1.5

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.0 71.3 70.3 71.5 1.2 1.7

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161.7 161.8 159.9 159.9 0.0 0.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797.6 805.1 795.4 807.9 12.5 1.6

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,313.2 3,363.7 3,323.8 3,384.9 61.1 1.8

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,855.3 9,089.2 8,954.8 9,174.8 220.0 2.5

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.1 283.2 278.2 287.4 9.2 3.3

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.2 119.0 115.9 118.9 3.0 2.6

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.4 207.3 206.5 209.7 3.2 1.5

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.1 149.0 148.6 150.0 1.4 0.9

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.8 34.3 34.0 34.4 0.4 1.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 710.2 735.0 713.7 738.1 24.4 3.4

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232.6 234.6 234.0 237.9 3.9 1.7

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,705.6 2,755.3 2,735.0 2,775.1 40.1 1.5

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.7 155.3 153.8 159.7 5.9 3.8

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.3 312.8 310.6 318.6 8.0 2.6

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.5 108.2 106.2 108.9 2.7 2.5

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,311.9 1,354.9 1,328.2 1,364.9 36.7 2.8

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.6 233.0 227.4 235.1 7.7 3.4

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84.6 83.8 83.0 83.4 0.4 0.5

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.0 185.1 185.1 186.5 1.4 0.8

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.1 157.4 156.1 159.0 2.9 1.9

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.0 50.4 49.6 51.6 2.0 4.0

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 55.4 54.9 56.9 2.0 3.6

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.6 26.0 26.1 26.6 0.5 1.9

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.4 193.0 189.4 194.4 5.0 2.6

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,363.8 1,394.3 1,373.9 1,404.7 30.8 2.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.9 30.8 30.2 31.3 1.1 3.6

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,588.2 4,659.7 4,611.1 4,680.8 69.7 1.5

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 63.4 63.8 63.7 -0.1 -0.2

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100.8 101.6 101.5 101.9 0.4 0.4

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,815.7 2,873.5 2,826.7 2,887.9 61.2 2.2

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.9 244.6 242.7 246.6 3.9 1.6

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.7 45.1 45.9 0.8 1.8

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.4 123.1 124.3 123.8 -0.5 -0.4

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.4 69.2 68.5 69.0 0.5 0.7

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.8 98.0 95.2 98.6 3.4 3.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.8 21.1 20.8 21.1 0.3 1.4

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.5 104.4 104.6 105.4 0.8 0.8

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 42.9 41.9 43.1 1.2 2.9

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.6 186.4 185.2 188.3 3.1 1.7

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.8 57.3 58.1 0.8 1.4

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.3 77.4 76.6 77.7 1.1 1.4

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 658.7 664.5 664.8 669.1 4.3 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

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.7 78.0 77.3 78.4 1.1 1.4

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481.2 485.6 485.0 489.7 4.7 1.0

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 748.5 765.1 745.0 764.7 19.7 2.6

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.7 345.1 337.2 346.7 9.5 2.8

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.2 67.8 65.5 66.5 1.0 1.5

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.0 71.6 69.2 72.3 3.1 4.5

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.7 29.4 28.8 29.3 0.5 1.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.2 38.3 37.2 38.4 1.2 3.2

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.2 48.1 46.9 47.7 0.8 1.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,197.8 6,262.2 6,205.9 6,243.4 37.5 0.6

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.6 93.9 93.5 93.5 0.0 0.0

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.6 61.1 59.8 61.3 1.5 2.5

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.9 116.9 112.6 116.4 3.8 3.4

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,806.1 4,860.4 4,820.0 4,848.6 28.6 0.6

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.8 27.8 27.8 27.7 -0.1 -0.4

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.4 187.9 189.2 186.9 -2.3 -1.2

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.3 53.0 52.3 53.1 0.8 1.5

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.6 47.2 47.3 0.1 0.2

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.8 176.8 178.2 175.1 -3.1 -1.7

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.4 155.4 155.0 154.6 -0.4 -0.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.2 116.6 115.5 116.5 1.0 0.9

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,177.3 3,192.6 3,188.6 3,196.8 8.2 0.3

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.9 80.1 80.6 80.5 -0.1 -0.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.9 54.4 55.0 0.6 1.1

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 143.6 142.9 144.0 1.1 0.8

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.1 165.5 166.1 165.8 -0.3 -0.2

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.4 228.8 228.4 231.2 2.8 1.2

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,081.6 1,089.4 1,084.3 1,090.9 6.6 0.6

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.1 41.9 41.7 42.0 0.3 0.7

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.7 105.4 107.5 105.2 -2.3 -2.1

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.5 41.8 41.6 -0.2 -0.5

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 52.1 51.9 52.6 0.7 1.3

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.7 146.2 146.1 146.0 -0.1 -0.1

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.4 71.5 71.7 71.8 0.1 0.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,603.5 1,613.2 1,606.7 1,612.6 5.9 0.4

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.0 57.3 56.1 57.3 1.2 2.1

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.2 146.2 145.8 147.5 1.7 1.2

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 374.3 384.6 375.7 383.8 8.1 2.2

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 61.9 61.8 62.3 0.5 0.8

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.1 101.2 102.3 101.3 -1.0 -1.0

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.7 90.5 90.9 91.2 0.3 0.3

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.0 92.7 93.3 92.4 -0.9 -1.0

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,434.1 1,453.7 1,440.3 1,457.8 17.5 1.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.0 55.3 55.1 55.4 0.3 0.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 44.8 44.8 44.7 -0.1 -0.2

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.2 116.4 113.2 115.8 2.6 2.3

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301.8 304.6 303.6 306.1 2.5 0.8

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,940.5 1,973.8 1,959.1 1,983.8 24.7 1.3

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.0 77.9 77.8 78.9 1.1 1.4

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.0 57.4 57.5 57.6 0.1 0.2

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.6 285.5 281.4 285.8 4.4 1.6

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 668.5 681.2 676.0 684.9 8.9 1.3

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.3 54.1 54.2 0.1 0.2

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,998.2 2,000.5 2,001.7 2,011.0 9.3 0.5

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 61.3 61.4 61.5 0.1 0.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.6 417.2 415.1 419.9 4.8 1.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.9 45.9 47.2 1.3 2.8

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

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Louisiana - Continued

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.3 84.7 86.1 84.5 -1.6 -1.9

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.5 205.9 204.9 205.5 0.6 0.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.9 119.1 118.9 118.2 -0.7 -0.6

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.8 78.0 79.2 78.9 -0.3 -0.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 584.4 592.8 585.6 599.9 14.3 2.4

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.8 179.4 181.1 181.0 -0.1 -0.1

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.7 640.7 628.7 633.1 4.4 0.7

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 69.1 68.4 69.0 0.6 0.9

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 51.8 51.3 51.6 0.3 0.6

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210.7 212.6 210.6 211.2 0.6 0.3

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,758.7 2,786.8 2,771.2 2,802.6 31.4 1.1

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,424.6 1,447.7 1,433.3 1,456.9 23.6 1.6

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.5 46.1 46.6 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 39.7 39.9 39.7 -0.2 -0.5

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.5 108.7 108.5 111.3 2.8 2.6

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,679.6 3,730.4 3,678.0 3,727.3 49.3 1.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.8 108.2 103.8 104.1 0.3 0.3

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,793.9 2,834.9 2,796.5 2,835.5 39.0 1.4

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.1 55.7 55.6 56.4 0.8 1.4

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.8 67.9 68.2 0.3 0.4

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.0 41.4 41.0 41.3 0.3 0.7

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 343.6 351.6 344.5 352.7 8.2 2.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 288.8 288.9 290.5 289.6 -0.9 -0.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,470.2 4,465.4 4,468.3 4,485.7 17.4 0.4

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.2 230.2 228.0 231.1 3.1 1.4

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 58.4 59.1 58.7 -0.4 -0.7

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.8 34.9 35.8 35.1 -0.7 -2.0

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,050.9 2,041.8 2,052.7 2,046.1 -6.6 -0.3

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.8 137.9 143.1 145.1 2.0 1.4

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 568.0 569.1 570.0 568.7 -1.3 -0.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 58.8 59.2 59.2 0.0 0.0

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.1 152.9 152.0 152.6 0.6 0.4

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241.5 240.4 241.6 244.9 3.3 1.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 37.8 38.0 38.0 0.0 0.0

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 42.7 42.6 42.8 0.2 0.5

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.5 66.8 65.9 67.0 1.1 1.7

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 63.7 62.5 63.6 1.1 1.8

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.6 86.8 89.5 88.9 -0.6 -0.7

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,987.0 2,996.1 2,975.9 2,981.8 5.9 0.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.6 139.5 138.6 138.4 -0.2 -0.1

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.3 60.9 59.6 61.1 1.5 2.5

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,031.1 2,029.3 2,027.4 2,021.3 -6.1 -0.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.7 124.9 122.7 124.0 1.3 1.1

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 113.1 111.5 112.4 0.9 0.8

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,165.8 1,177.8 1,173.6 1,181.3 7.7 0.7

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.1 158.9 155.7 159.9 4.2 2.7

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.6 68.4 67.4 69.3 1.9 2.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.1 285.3 283.0 285.5 2.5 0.9

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.9 2,944.1 2,911.5 2,948.3 36.8 1.3

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 46.0 45.8 46.1 0.3 0.7

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.0 102.3 102.1 102.3 0.2 0.2

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.2 77.6 76.9 77.9 1.0 1.3

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.8 82.2 82.2 82.6 0.4 0.5

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,109.4 1,124.6 1,110.8 1,126.9 16.1 1.4

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 63.2 63.4 63.1 -0.3 -0.5

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,396.8 1,421.4 1,399.6 1,421.5 21.9 1.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.9 219.7 220.0 221.1 1.1 0.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481.9 488.0 478.7 485.7 7.0 1.5

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.3 85.9 84.9 85.4 0.5 0.6

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.1 36.3 36.1 36.3 0.2 0.6

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 65.0 62.9 64.2 1.3 2.1

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,028.3 1,043.7 1,031.0 1,045.6 14.6 1.4

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 42.6 42.2 42.3 0.1 0.2

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.9 194.0 193.2 196.3 3.1 1.6

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 505.7 522.8 508.4 523.6 15.2 3.0

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,413.5 1,445.8 1,416.8 1,454.7 37.9 2.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.5 31.6 30.5 31.5 1.0 3.3

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,026.1 1,043.1 1,023.0 1,052.2 29.2 2.9

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.2 262.2 254.5 264.5 10.0 3.9

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687.5 694.4 686.7 690.6 3.9 0.6

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.8 55.2 55.2 54.9 -0.3 -0.5

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.0 116.8 116.0 117.4 1.4 1.2

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.8 95.6 94.0 95.1 1.1 1.2

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,192.3 4,224.0 4,212.6 4,245.6 33.0 0.8

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134.5 134.6 133.6 133.4 -0.2 -0.1

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 44.0 38.8 41.5 2.7 7.0

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275.6 279.9 278.1 281.7 3.6 1.3

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 60.7 59.7 61.2 1.5 2.5

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 850.6 865.7 851.6 867.8 16.2 1.9

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.6 398.5 397.0 400.1 3.1 0.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.1 48.4 48.3 48.3 0.0 0.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.7 75.7 75.2 75.7 0.5 0.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.1 63.8 63.9 64.0 0.1 0.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,780.5 9,889.4 9,810.1 9,926.8 116.7 1.2

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480.3 479.1 481.2 483.4 2.2 0.5

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.8 105.6 105.6 105.1 -0.5 -0.5

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572.7 576.3 571.6 575.7 4.1 0.7

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.0 37.2 37.5 37.3 -0.2 -0.5

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 55.6 54.9 54.7 -0.2 -0.4

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 68.7 66.8 68.4 1.6 2.4

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.8 65.5 64.0 64.8 0.8 1.3

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,923.1 10,017.1 9,980.7 10,080.1 99.4 1.0

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 547.1 552.6 545.6 553.5 7.9 1.4

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325.8 330.7 325.9 330.5 4.6 1.4

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.5 129.2 129.7 129.4 -0.3 -0.2

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.7 42.1 42.3 0.2 0.5

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,527.9 4,617.5 4,540.4 4,629.5 89.1 2.0

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 198.1 206.0 198.1 205.1 7.0 3.5

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 64.3 63.9 64.4 0.5 0.8

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,221.2 1,249.6 1,224.0 1,252.8 28.8 2.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.8 320.5 316.9 320.8 3.9 1.2

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.2 132.3 132.5 133.4 0.9 0.7

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.0 41.7 41.9 42.1 0.2 0.5

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.8 366.4 363.4 368.1 4.7 1.3

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.7 81.9 81.0 82.7 1.7 2.1

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.3 155.8 157.6 157.4 -0.2 -0.1

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.0 49.6 49.3 49.9 0.6 1.2

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 45.1 45.0 45.3 0.3 0.7

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 635.5 657.2 636.5 660.7 24.2 3.8

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.0 56.6 57.6 57.2 -0.4 -0.7

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.9 134.7 130.2 135.4 5.2 4.0

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.4 276.1 269.8 275.0 5.2 1.9

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441.8 442.6 438.1 441.4 3.3 0.8

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 73.5 72.7 73.5 0.8 1.1

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.8 145.6 143.7 146.0 2.3 1.6

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.6 56.8 56.5 56.7 0.2 0.4

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,614.8 5,632.4 5,617.1 5,639.4 22.3 0.4

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344.8 341.7 344.9 342.4 -2.5 -0.7

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.0 177.9 177.1 177.8 0.7 0.4

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,121.9 1,140.7 1,122.3 1,142.2 19.9 1.8

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,075.9 1,083.2 1,076.2 1,089.8 13.6 1.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,113.5 1,124.3 1,114.5 1,132.2 17.7 1.6

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391.4 396.2 393.5 397.2 3.7 0.9

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 53.6 53.8 53.8 0.0 0.0

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.0 53.0 53.6 0.6 1.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.8 50.9 50.6 50.9 0.3 0.6

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312.4 312.4 313.7 313.4 -0.3 -0.1

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 39.8 40.5 39.6 -0.9 -2.2

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.1 216.5 220.7 216.1 -4.6 -2.1

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,705.0 1,708.3 1,711.8 1,707.4 -4.4 -0.3

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.7 25.4 25.6 25.4 -0.2 -0.8

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.7 45.3 46.2 0.9 2.0

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 659.0 666.6 661.4 666.4 5.0 0.8

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457.4 460.2 461.5 460.5 -1.0 -0.2

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,931.6 1,965.4 1,931.2 1,968.4 37.2 1.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.1 47.1 46.5 47.5 1.0 2.2

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.7 88.3 85.3 87.8 2.5 2.9

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.6 45.1 44.5 45.1 0.6 1.3

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.3 164.5 162.3 165.1 2.8 1.7

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.5 28.2 27.4 28.3 0.9 3.3

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 93.0 90.2 93.3 3.1 3.4

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,209.8 1,231.6 1,213.4 1,233.9 20.5 1.7

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.4 172.7 171.8 172.1 0.3 0.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,087.0 6,119.0 6,085.9 6,136.9 51.0 0.8

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380.8 383.2 379.3 385.8 6.5 1.7

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.2 62.0 61.6 62.0 0.4 0.6

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.5 43.9 43.4 43.9 0.5 1.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.6 62.9 64.0 1.1 1.7

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.7 59.5 59.0 59.8 0.8 1.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.1 130.1 129.9 130.2 0.3 0.2

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.6 35.9 35.5 35.7 0.2 0.6

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348.7 348.5 349.2 351.7 2.5 0.7

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.3 55.6 55.1 55.5 0.4 0.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.6 259.6 258.0 261.0 3.0 1.2

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 55.1 53.9 55.1 1.2 2.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,975.4 3,002.6 2,982.3 3,011.3 29.0 1.0

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,201.8 1,200.2 1,205.3 1,200.7 -4.6 -0.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.5 183.8 182.3 184.5 2.2 1.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.2 266.6 268.7 266.6 -2.1 -0.8

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.6 84.7 84.3 85.2 0.9 1.1

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.7 54.1 53.4 54.1 0.7 1.3

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188.6 188.7 189.0 189.8 0.8 0.4

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503.0 512.3 500.7 511.8 11.1 2.2

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 600.6 609.6 598.9 611.8 12.9 2.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,158.5 2,189.8 2,168.0 2,201.5 33.5 1.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370.2 371.4 372.2 374.2 2.0 0.5

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 404.2 404.6 403.7 407.7 4.0 1.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.7 92.4 92.4 93.1 0.7 0.8

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 426.8 432.7 429.1 433.2 4.1 1.0

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.1 85.9 82.1 85.6 3.5 4.3

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.3 181.0 170.6 179.3 8.7 5.1

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.6 163.6 160.1 164.1 4.0 2.5

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.7 40.9 40.9 41.1 0.2 0.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443.3 452.1 443.3 449.7 6.4 1.4

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 70.0 68.8 69.0 0.2 0.3

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.2 164.2 159.5 163.7 4.2 2.6

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,102.8 3,148.0 3,126.2 3,174.6 48.4 1.5

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.1 268.3 265.3 269.3 4.0 1.5

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.3 95.3 94.7 95.6 0.9 1.0

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.6 48.9 48.6 -0.3 -0.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.0 71.2 70.1 71.4 1.3 1.9

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.3 82.5 82.2 83.1 0.9 1.1

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.2 124.9 123.8 125.8 2.0 1.6

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403.4 412.1 406.4 415.1 8.7 2.1

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 655.7 660.0 665.0 667.1 2.1 0.3

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.8 47.3 46.7 47.5 0.8 1.7

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,028.4 1,045.2 1,038.7 1,055.5 16.8 1.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,651.0 12,966.8 12,704.1 13,047.1 343.0 2.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.3 71.0 70.6 71.6 1.0 1.4

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 121.3 121.4 122.0 0.6 0.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,079.9 1,108.4 1,083.2 1,112.2 29.0 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169.0 170.0 168.2 169.3 1.1 0.7

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.4 142.4 142.2 143.0 0.8 0.6

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.2 126.3 124.4 127.1 2.7 2.2

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193.9 197.1 195.7 197.7 2.0 1.0

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,729.9 3,837.2 3,749.7 3,870.4 120.7 3.2

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 320.4 324.5 321.0 327.5 6.5 2.0

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,121.7 3,204.1 3,137.6 3,223.1 85.5 2.7

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.6 147.4 144.9 149.2 4.3 3.0

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.4 107.1 106.2 107.8 1.6 1.5

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.5 97.8 98.8 97.8 -1.0 -1.0

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.7 151.9 150.3 152.6 2.3 1.5

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 266.3 274.6 268.5 275.4 6.9 2.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.5 111.8 111.7 112.3 0.6 0.5

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.7 83.5 82.8 83.2 0.4 0.5

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.6 50.4 50.7 0.3 0.6

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,063.2 1,098.4 1,068.5 1,102.2 33.7 3.2

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.3 49.1 48.8 49.3 0.5 1.0

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.5 60.8 61.2 0.4 0.7

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.2 108.3 107.6 108.7 1.1 1.0

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.2 41.7 42.6 42.1 -0.5 -1.2

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.9 123.0 122.5 124.1 1.6 1.3

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.0 60.0 60.2 60.4 0.2 0.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,542.0 1,592.8 1,544.2 1,595.8 51.6 3.3

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.1 66.7 65.5 66.8 1.3 2.0

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265.0 276.6 265.0 276.0 11.0 4.2

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269.6 278.0 269.7 279.0 9.3 3.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.3 72.8 70.4 72.9 2.5 3.6

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 742.1 760.2 745.5 762.2 16.7 2.2

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319.5 319.6 319.3 318.2 -1.1 -0.3

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.4 129.5 127.4 128.6 1.2 0.9

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,018.1 4,045.6 4,035.7 4,077.9 42.2 1.0

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.3 75.5 78.6 79.0 0.4 0.5

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.1 120.6 119.5 121.0 1.5 1.3

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 70.6 69.5 70.7 1.2 1.7

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.0 107.0 106.6 107.1 0.5 0.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681.5 687.9 683.0 695.2 12.2 1.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.6 165.1 162.4 166.0 3.6 2.2

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 52.1 51.5 52.3 0.8 1.6

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 789.8 794.3 791.1 798.3 7.2 0.9

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.3 66.9 65.2 67.2 2.0 3.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,449.2 3,526.2 3,446.5 3,532.7 86.2 2.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.3 98.5 97.5 98.0 0.5 0.5

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.0 96.4 93.9 96.9 3.0 3.2

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.5 121.2 117.2 121.0 3.8 3.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.4 40.8 40.4 40.9 0.5 1.2

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 52.4 52.2 52.5 0.3 0.6

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.7 124.5 121.5 124.7 3.2 2.6

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,067.2 2,128.3 2,073.7 2,132.9 59.2 2.9

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.1 260.8 255.4 259.6 4.2 1.6

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.0 29.4 29.1 29.6 0.5 1.7

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.6 46.2 47.3 1.1 2.4

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.3 89.1 87.3 88.6 1.3 1.5

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 740.3 742.8 740.5 740.5 0.0 0.0

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.7 44.8 44.0 44.2 0.2 0.5

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 110.6 110.2 110.5 110.1 -0.4 -0.4

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 136.0 135.6 136.5 136.2 -0.3 -0.2

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 71.2 72.0 71.6 -0.4 -0.6

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.6 38.4 38.6 0.2 0.5

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 69.9 70.3 69.8 -0.5 -0.7

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,992.5 3,011.6 2,999.7 3,005.9 6.2 0.2

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.8 126.4 126.4 126.8 0.4 0.3

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.8 88.9 88.5 88.6 0.1 0.1

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 49.4 49.4 49.5 0.1 0.2

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183.3 186.2 184.0 186.5 2.5 1.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.8 71.1 70.1 71.9 1.8 2.6

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.7 81.3 80.2 82.0 1.8 2.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406.0 412.0 408.4 414.4 6.0 1.5

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 879.0 890.3 878.9 893.2 14.3 1.6

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98.5 99.3 98.6 99.7 1.1 1.1

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.4 79.2 78.9 -0.3 -0.4

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.7 64.8 63.3 64.4 1.1 1.7

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 74.5 73.5 74.7 1.2 1.6

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289.0 288.9 285.0 283.9 -1.1 -0.4

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.4 39.6 39.1 39.3 0.2 0.5

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 47.6 46.8 47.2 0.4 0.9

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 870.9 874.6 877.4 883.1 5.7 0.6

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 50.9 50.7 51.2 0.5 1.0

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1 34.6 34.3 35.1 0.8 2.3

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.7 13.7 13.9 13.8 -0.1 -0.7

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.4 32.7 32.7 33.2 0.5 1.5

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.4 67.2 68.2 67.9 -0.3 -0.4

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.0 20.6 20.3 20.8 0.5 2.5

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.2 633.3 639.3 639.8 0.5 0.1

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.6 35.5 34.0 35.8 1.8 5.3

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

October November

Change from

November 2018 to November

2019p

2018 2019 2018 2019p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,344.3 17,660.6 17,440.7 17,766.9 326.2 1.9

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,217.4 6,302.2 6,247.2 6,343.2 96.0 1.5

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,663.8 1,683.8 1,672.2 1,686.3 14.1 0.8

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,553.6 4,618.4 4,575.0 4,656.9 81.9 1.8

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,461.0 2,528.0 2,479.2 2,538.7 59.5 2.4

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,186.1 1,210.9 1,194.8 1,214.7 19.9 1.7

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,157.9 1,196.7 1,167.3 1,203.0 35.7 3.1

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.0 120.4 117.1 121.0 3.9 3.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797.6 805.1 795.4 807.9 12.5 1.6

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,313.2 3,363.7 3,323.8 3,384.9 61.1 1.8

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 596.9 599.2 598.1 602.9 4.8 0.8

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,716.3 2,764.5 2,725.7 2,782.0 56.3 2.1

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,855.3 9,089.2 8,954.8 9,174.8 220.0 2.5

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,705.6 2,755.3 2,735.0 2,775.1 40.1 1.5

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 861.5 874.4 868.3 879.5 11.2 1.3

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,210.1 1,235.5 1,220.9 1,245.6 24.7 2.0

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 634.0 645.4 645.8 650.0 4.2 0.7

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,197.8 6,262.2 6,205.9 6,243.4 37.5 0.6

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,806.1 4,860.4 4,820.0 4,848.6 28.6 0.6

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,827.8 3,866.5 3,837.3 3,861.5 24.2 0.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267.4 271.4 269.1 270.1 1.0 0.4

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.8 285.8 284.0 284.6 0.6 0.2

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429.1 436.7 429.6 432.4 2.8 0.7

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,679.6 3,730.4 3,678.0 3,727.3 49.3 1.3

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,793.9 2,834.9 2,796.5 2,835.5 39.0 1.4

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,889.4 1,924.5 1,890.6 1,925.6 35.0 1.9

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.9 83.5 83.3 84.2 0.9 1.1

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.8 175.7 174.9 175.9 1.0 0.6

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.6 67.3 68.7 1.4 2.1

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.8 81.4 82.7 80.8 -1.9 -2.3

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.3 161.4 160.1 161.1 1.0 0.6

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.5 46.9 45.7 46.6 0.9 2.0

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131.3 132.0 132.3 131.7 -0.6 -0.5

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.8 98.7 96.8 98.2 1.4 1.4

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 62.2 62.8 62.7 -0.1 -0.2

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,470.2 4,465.4 4,468.3 4,485.7 17.4 0.4

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,050.9 2,041.8 2,052.7 2,046.1 -6.6 -0.3

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 771.2 767.5 772.9 771.8 -1.1 -0.1

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,279.7 1,274.3 1,279.8 1,274.3 -5.5 -0.4

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,780.5 9,889.4 9,810.1 9,926.8 116.7 1.2

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,923.1 10,017.1 9,980.7 10,080.1 99.4 1.0

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.1 152.0 151.2 152.9 1.7 1.1

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,350.4 1,366.2 1,356.3 1,367.6 11.3 0.8

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,225.9 1,236.5 1,232.5 1,241.6 9.1 0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,196.7 7,262.4 7,240.7 7,318.0 77.3 1.1

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,087.0 6,119.0 6,085.9 6,136.9 51.0 0.8

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,975.4 3,002.6 2,982.3 3,011.3 29.0 1.0

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545.2 542.0 547.9 541.9 -6.0 -1.1

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.8 1,093.5 1,084.5 1,092.1 7.6 0.7

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 981.6 995.9 983.6 1,002.7 19.1 1.9

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 364.8 371.2 366.3 374.6 8.3 2.3

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,651.0 12,966.8 12,704.1 13,047.1 343.0 2.7

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,729.9 3,837.2 3,749.7 3,870.4 120.7 3.2

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,658.9 2,752.8 2,674.8 2,772.6 97.8 3.7

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,071.0 1,084.4 1,074.9 1,097.8 22.9 2.1

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,449.2 3,526.2 3,446.5 3,532.7 86.2 2.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,067.2 2,128.3 2,073.7 2,132.9 59.2 2.9

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,741.2 1,796.9 1,748.6 1,801.8 53.2 3.0

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326.0 331.4 325.1 331.1 6.0 1.8

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

based on Office of Management and Budget Bulletin No. 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, 

November 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, November 2019

(U.S. average = 1.5 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.