JUST EAT : Metropolitan Area Employment and Unemployment (Monthly)

January 03, 2020 at 10:13 am

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

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-RedwoodCity-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 Dallas- Fort Worth-Arlington, TX (+120,700), New York-Newark-Jersey City, NY-NJ-PA (+99,400), and Los Angeles-LongBeach-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-FortWorth-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-LongBeach-Glendale, CA (+81,900), and New York-JerseyCity-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-RedwoodCity-South San Francisco, CA (+3.1 percent), and Seattle- Bellevue-Everett, WA (+3.0 percent).

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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

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and Unemployment news release for December 2019 is scheduled to be released on Wednesday, February 5, 2020, at 10:00 a.m. (EST).

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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-LongBeach-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 Chicago- Naperville-Arlington Heights, IL Metropolitan Division; Cleveland-Elyria, OH Metropolitan Statistical Area; Detroit- Warren-Dearborn, MI Metropolitan Statistical Area; Miami- Miami Beach-Kendall, FL Metropolitan Division; and Seattle- Bellevue-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.

Civilian labor force and unemployment estimates. Measures of sampling error are not available for metropolitan areas or metropolitan divisions. Model-basederror 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 service- providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/web/laus/790stderr.htm. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf.

Area definitions

The substate area data published in this 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.

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

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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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-LongBeach-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-ThousandOaks-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-SanBernardino-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-PasoRobles-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-WestHartford-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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
2018	2019	2018	2019p	October	November		October	November


	2018	2019	2018	2019p	2018		2019	2018	2019p

Connecticut - Continued
Norwich-NewLondon-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-DaytonaBeach-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-FortLauderdale-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-FerryPass-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-SandySprings-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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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-FortWorth-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-TheWoodlands-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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State and area
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

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

		Civilian labor force					Unemployed

	October	November		Number				Percent of labor force
State, area, and division
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-LongBeach-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-SantaAna-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-RedwoodCity-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-FortLauderdale-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-MiamiBeach-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-MethuenTown-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-JerseyCity-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-FortWorth-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

These 11 areas contain all of the 38 metropolitan divisions.

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]

					Change from
State and area	October	November	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-LongBeach-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-ThousandOaks-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-SanBernardino-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-PasoRobles-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]

						Change from
State and area		October	November	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-WestHartford-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-NewLondon-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-DaytonaBeach-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-FortLauderdale-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-FerryPass-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-SandySprings-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]

						Change from
State and area		October	November	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]

						Change from
State and area		October	November	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]

						Change from
State and area		October	November	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]

						Change from
State and area		October	November	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]

					Change from
State and area	October	November	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-FortWorth-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-TheWoodlands-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]

						Change from
State and area		October	November	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

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.

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]

							Change from
		October		November	November 2018 to November
State, area, and division								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-LongBeach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .	6,217.4		6,302.2	6,247.2		6,343.2	96.0		1.5
Anaheim-SantaAna-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .	1,663.8		1,683.8	1,672.2		1,686.3	14.1		0.8
Los Angeles-LongBeach-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-RedwoodCity-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-FortLauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .	2,705.6		2,755.3	2,735.0		2,775.1	40.1		1.5
Fort Lauderdale-PompanoBeach-Deerﬁeld Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . .	861.5		874.4	868.3		879.5	11.2		1.3
Miami-MiamiBeach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .	1,210.1		1,235.5	1,220.9		1,245.6	24.7		2.0
West Palm Beach-BocaRaton-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-MethuenTown-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-JerseyCity-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-BucksCounty-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-FortWorth-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

These 11 areas contain all of the 38 metropolitan divisions.

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)

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.

Above U.S. average U.S. average or below

Map 2. Over-the-year percentage change in employment, by metropolitan area, not seasonally adjusted, November 2019

(U.S. average = 1.5 percent)

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.

AboveU.S. average U.S. average or below

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BLS - U.S. Bureau of Labor Statistics published this content on 03 January 2020 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 03 January 2020 15:12:00 UTC

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