For release 10:00 a.m. (EST) Thursday, January 4, 2018 USDL-18-0001 

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 2017

Unemployment rates were lower in November than a year earlier in 304 of the 388 metropolitan areas, 

higher in 67 areas, and unchanged in 17 areas, the U.S. Bureau of Labor Statistics reported today. Sixtynine areas had jobless rates of less than 3.0 percent and three areas had rates of at least 10.0 percent. 

Nonfarm payroll employment increased over the year in 313 metropolitan areas, decreased in 70 areas, 

and was unchanged in 5 areas. The national unemployment rate in November was 3.9 percent, not 

seasonally adjusted, down from 4.4 percent a year earlier. 

Metropolitan Area Unemployment (Not Seasonally Adjusted) 

In November, Ames, IA, had the lowest unemployment rate, 1.5 percent, followed by Mankato-North 

Mankato, MN, and Urban Honolulu, HI, 1.9 percent each. El Centro, CA, and Yuma, AZ, had the 

highest unemployment rates, 19.8 percent and 15.6 percent, respectively. A total of 187 areas had 

November jobless rates above the U.S. rate of 3.9 percent, 182 areas had rates below it, and 19 areas 

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

El Centro, CA, had the largest over-the-year unemployment rate decrease in November (-3.0 percentage 

points). An additional 98 areas had rate declines of at least 1.0 percentage point. The largest over-theyear rate increase occurred in Ocean City, NJ (+1.4 percentage points). 

Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Minneapolis-St. PaulBloomington, MN-WI, had the lowest unemployment rate in November, 2.4 percent. BuffaloCheektowaga-Niagara Falls, NY, had the highest jobless rate among the large areas, 5.3 percent. Fortytwo large areas had over-the-year unemployment rate decreases, six had increases, and three had no 

change. The largest rate decrease occurred in Birmingham-Hoover, AL (-2.1 percentage points). The 

largest over-the-year rate increase was in Rochester, NY (+0.6 percentage point). 

Current Employment Statistics Data for Puerto Rico and the U.S. Virgin Islands 

Response rates for the November 2017 establishment survey were slightly lower than average in Puerto 

Rico. In addition, a modification was made to the estimation process that accounts for business births 
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and deaths. As of this release, a sufficient amount of establishment data was collected to produce final 

estimates for October and preliminary estimates for November. 

The U.S. Virgin Islands was not able to administer its establishment survey in September, October, and 

November. It is unknown at this time when estimates of employment, hours and earnings will be 

published for the U.S. Virgin Islands. 

More information on the effects of the recent hurricanes on BLS data collection and reporting can be 

found at www.bls.gov/bls/hurricanes-harvey-irma-maria.htm. 

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, San Francisco-Redwood CitySouth San Francisco, CA, and San Rafael, CA, had the lowest unemployment rates among the divisions, 

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

In November, 21 metropolitan divisions had over-the-year unemployment rate decreases, 16 had 

increases, and 1 had no change. The largest rate decline occurred in Detroit-Dearborn-Livonia, MI (-1.2 

percentage points). The largest over-the-year jobless rate increase occurred in Camden, NJ (+0.8 

percentage point). 

Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) 

In November, 313 metropolitan areas had over-the-year increases in nonfarm payroll employment, 70 

had decreases, and 5 had no change. The largest over-the-year employment increases occurred in DallasFort Worth-Arlington, TX (+100,400), New York-Newark-Jersey City, NY-NJ-PA (+89,300), and 

Boston-Cambridge-Nashua, MA-NH (+60,300). The largest over-the-year percentage gains in 

employment occurred in Elkhart-Goshen, IN (+5.3 percent), and Daphne-Fairhope-Foley, AL, and 

Ocean City, NJ (+5.1 percent each). (See table 3 and map 2.) 

The largest over-the-year decrease in employment occurred in Virginia Beach-Norfolk-Newport News, 

VA-NC (-6,000), followed by Rochester, NY (-3,000), and Akron, OH (-2,800). The largest over-theyear percentage decrease in employment occurred in Cape Girardeau, MO-IL (-5.6 percent), followed 

by Cleveland, TN, and Michigan City-La Porte, IN (-3.6 percent each). 

Over the year, nonfarm employment rose in 47 of the 51 metropolitan areas with a 2010 Census 

population of 1 million or more, fell in 3, and was unchanged in Hartford-West Hartford-East Hartford, 

CT. The largest over-the-year percentage increases in employment in these large metropolitan areas 

occurred in Raleigh, NC, and Riverside-San Bernardino-Ontario, CA (+3.2 percent each), and OrlandoKissimmee-Sanford, FL (+3.1 percent). The over-the-year percentage decreases occurred in Virginia 

Beach-Norfolk-Newport News, VA-NC (-0.8 percent), Rochester, NY (-0.6 percent), and New OrleansMetairie, LA (-0.4 percent). 

 
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Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted) 

In November, nonfarm payroll employment increased in 35 of the 38 metropolitan divisions over the 

year and fell in 3. The largest over-the-year increase in employment among the metropolitan divisions 

occurred in New York-Jersey City-White Plains, NY-NJ (+95,700), followed by Dallas-Plano-Irving, 

TX (+73,100), and Boston-Cambridge-Newton, MA (+48,000). The over-the-year decreases occurred 

in Newark, NJ-PA (-8,900), Gary, IN (-5,300), and Nassau County-Suffolk County, NY (-900). 

(See table 4.) 

The largest over-the-year percentage increases occurred in Nashua, NH-MA (+3.1 percent), DallasPlano-Irving, TX (+2.9 percent), and Fort Worth-Arlington, TX (+2.7 percent). The over-the-year 

percentage decreases occurred in Gary, IN (-1.9 percent), Newark, NJ-PA (-0.7 percent), and Nassau 

County-Suffolk County, NY (-0.1 percent). 

_____________ 

The State Employment and Unemployment news release for December 2017 is scheduled to be 

released on Tuesday, January 23, 2018, at 10:00 a.m. (EST). The Metropolitan Area Employment 

and Unemployment news release for December 2017 is scheduled to be released on Tuesday, 

February 6, 2018, at 10:00 a.m. (EST). 

Upcoming Changes to Local Area Unemployment Statistics Data 

Effective with the release of Regional and State Unemployment 2017 Annual Averages on Tuesday, 

February 27, 2018, the civilian labor force and unemployment data for census regions and divisions and 

all states, the District of Columbia, and the modeled substate areas presented in tables 1 and 2 of this 

news release will be revised from 2013–17 to incorporate updated inputs, new population controls, and 

reestimation of models. Civilian labor force and unemployment estimates for all other metropolitan 

areas and metropolitan divisions subsequently will be revised to reflect updated inputs and adjustment to 

the new statewide estimates. These revised estimates will be published in conjunction with the March 

2018 State Employment and Unemployment news release on Friday, April 20, 2018. 

Upcoming Changes to Current Employment Statistics Data 

Effective with the release of January 2018 estimates on March 12, 2018, all nonfarm payroll 

employment estimates for states and areas presented in tables 3 and 4 of this news release will be 

adjusted to 2017 benchmark levels. 

Also effective with the release of January 2018 estimates, the Current Employment Statistics (CES) 

program will convert to concurrent seasonal adjustment, which uses all available estimates, including 

those for the current month, in developing seasonal factors. Currently, the CES program develops 

seasonal factors once a year during the annual benchmark process. For more information on concurrent 

seasonal adjustment in the CES State and Area program, see www.bls.gov/sae/saeconcurrent.htm. 
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Not seasonally adjusted data beginning with April 2016 and seasonally adjusted data beginning with 

January 2013 are subject to revision. Some seasonally adjusted series may be revised back to 1990. 

Conversion to the 2017 North American Industry Classification System 

With the release of January 2018 data on March 12, 2018, the Current Employment Statistics (CES) 

survey will revise the basis for industry classification from the 2012 North American Industry 

Classification System (NAICS) to the 2017 NAICS for all states and metropolitan areas. 

The conversion to the 2017 NAICS will result in minor revisions reflecting content and coding changes 

within the retail trade and information sectors. Several industry titles and descriptions also will be 

updated. Details of new, discontinued, and combined industries due to the 2017 NAICS updates, as well 

as changes due to the annual benchmarking process, will be available on March 12, 2018. 

For more information on 2017 NAICS, see www.census.gov/eos/www/naics/. 
Technical Note

This release presents civilian labor force and unemployment 

data from the Local Area Unemployment Statistics (LAUS) 

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

and metropolitan New England City and Town Areas 

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

metropolitan and NECTA divisions also are presented. 

Nonfarm payroll employment estimates from the Current 

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

provided for the same areas. State estimates were previously 

published in the news release State Employment and 

Unemployment, and are republished in this release for ease of 

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

cooperative endeavors.

Civilian labor force and unemployment—from the 

LAUS program 

Definitions. The civilian labor force and unemployment 

data are based on the same concepts and definitions as those 

used for the official national estimates obtained from the 

Current Population Survey (CPS), a sample survey of 

households that is conducted for the Bureau of Labor Statistics 

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

measures employed persons and unemployed persons on a 

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

noninstitutional population 16 years of age and older. 

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

profit in the reference week (typically the week including the 

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

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

job from which they were temporarily absent, whether or not 

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

vacation. Unemployed persons are those who were not 

employed during the reference week (based on the definition 

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

period ending with the reference week, and were currently 

available for work; persons on layoff expecting recall need not 

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

labor force is the sum of employed and unemployed persons. 

The unemployment rate is the number of unemployed as a 

percent of the civilian labor force. 

Method of estimation. Estimates for states, the District 

of Columbia, the Los Angeles-Long Beach-Glendale 

metropolitan division, and New York City are produced using 

time-series models with real-time benchmarking to national 

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

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

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

improves the statistical basis of the estimation for these areas 

and provides important tools for analysis, such as measures of 

errors and seasonally adjusted series. For all other substate 

areas in this release, estimates are prepared through indirect 

estimation procedures using a building-block approach. 

Estimates of employed persons, which are based largely on 

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

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

Unemployment estimates are aggregates of persons previously 

employed in industries covered by state unemployment 

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

CPS. The substate estimates of employment and 

unemployment, which geographically exhaust the entire state, 

are adjusted proportionally to ensure that they add to the 

independently estimated model-based area totals. A detailed 

description of the estimation procedures is available from BLS 

upon request.

Annual revisions. Civilian labor force and 

unemployment data shown for the prior year reflect 

adjustments made at the beginning of each year, usually 

implemented with the issuance of January estimates. The 

adjusted model-based estimates typically reflect updated 

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

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

estimates then are re-estimated using updated inputs and 

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

2015, a new generation of time-series models was

implemented, resulting in the replacement of data back to the 

series beginnings. At the same time, enhancements were made

to the substate estimation methodology, and more timely inputs 

from the American Community Survey were incorporated.

Employment—from the CES program 

Definitions. Employment data refer to persons on 

establishment payrolls who receive pay for any part of the pay 

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

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

those appearing on more than one payroll are counted on each 

payroll. Industries are classified on the basis of their principal 

activity in accordance with the 2012 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.

Reliability of the estimates

The estimates presented in this release are based on 

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

are subject to sampling and other types of errors. Sampling 

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

that occurs by chance because a sample rather than the entire 

population is surveyed. Survey data also are subject to 

nonsampling errors, such as those which can be introduced into 

the data collection and processing operations. Estimates not 

directly derived from sample surveys are subject to additional 

errors resulting from the specific estimation processes used. 

The sums of individual items may not always equal the totals 

shown in the same tables because of rounding. 

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan 

areas or metropolitan divisions. Model-based error measures 

for states are available on the BLS website at 

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

are not available for the areas contained in this release. 

Information on recent data revisions for states and local areas 

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

Employment estimates. Measures of sampling error for 

the total private employment series are available for 

metropolitan areas and metropolitan divisions at 

www.bls.gov/sae/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 

down to the supersector level are available on the BLS website 

at www.bls.gov/sae/790stderr.htm. Measures of nonsampling 

error are not available for the areas contained in this release.

Information on recent benchmark revisions is available online

at www.bls.gov/sae/benchmark2017.pdf. 

Area definitions

The substate area data published in this release reflect the 

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

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

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

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

geographic definitions is available online at 

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

Additional information

Estimates of unadjusted and seasonally adjusted civilian

labor force and unemployment data for states and seven 

substate areas are available in the news release State 

Employment and Unemployment. Estimates of civilian labor 

force and unemployment for all states, metropolitan areas, 

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

areas used in the administration of various federal economic 

assistance programs are available on the Internet at 

www.bls.gov/lau/. Employment data from the CES program 

are available on the BLS website at www.bls.gov/sae/. 

Information in this release will be made available to 

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

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

 
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,193,487 2,178,339 2,184,641 2,173,604 136,336 75,766 123,834 77,270 6.2 3.5 5.7 3.6

Anniston-Oxford-Jacksonville. . . . . . . . . . . 45,884 45,483 45,659 45,520 3,153 1,806 2,893 1,839 6.9 4.0 6.3 4.0

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 74,033 75,872 74,066 75,936 3,983 2,250 3,575 2,351 5.4 3.0 4.8 3.1

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 539,618 533,785 539,676 533,137 31,843 17,146 28,519 17,293 5.9 3.2 5.3 3.2

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 90,625 92,199 89,507 91,584 5,209 2,922 4,690 3,017 5.7 3.2 5.2 3.3

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,409 69,170 68,962 69,470 4,225 2,314 3,817 2,334 6.1 3.3 5.5 3.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,473 62,710 62,866 62,120 3,892 2,203 3,539 2,296 6.1 3.5 5.6 3.7

Florence-Muscle Shoals. . . . . . . . . . . . . . . 67,419 66,532 67,385 66,331 4,350 2,476 4,129 2,496 6.5 3.7 6.1 3.8

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,135 44,043 44,153 44,155 2,797 1,576 2,500 1,595 6.3 3.6 5.7 3.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 217,158 218,313 217,325 220,153 11,747 6,666 10,723 6,798 5.4 3.1 4.9 3.1

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,042 182,613 186,597 182,185 13,262 7,543 12,541 7,843 7.1 4.1 6.7 4.3

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,570 170,504 171,965 169,939 10,274 5,857 9,264 5,954 6.0 3.4 5.4 3.5

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 114,414 115,033 114,225 114,709 6,943 3,702 6,313 3,904 6.1 3.2 5.5 3.4

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,474 359,601 356,778 359,172 22,232 24,097 23,006 25,520 6.2 6.7 6.4 7.1

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 201,929 204,139 204,644 205,990 11,292 12,486 11,731 13,068 5.6 6.1 5.7 6.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,139 46,554 46,537 46,710 2,437 2,724 2,612 2,954 5.3 5.9 5.6 6.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,264,008 3,314,636 3,265,507 3,334,467 167,206 145,862 155,867 143,390 5.1 4.4 4.8 4.3

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,939 75,978 74,746 75,227 4,239 3,281 4,096 3,270 5.6 4.3 5.5 4.3

Lake Havasu City-Kingman. . . . . . . . . . . . 80,474 81,746 80,851 81,942 4,928 4,126 4,705 4,191 6.1 5.0 5.8 5.1

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,258,161 2,302,324 2,266,099 2,324,867 99,610 86,178 93,871 86,595 4.4 3.7 4.1 3.7

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,555 101,045 100,061 100,984 4,583 3,938 4,441 4,051 4.6 3.9 4.4 4.0

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,915 51,428 49,916 51,126 2,875 2,479 2,709 2,505 5.8 4.8 5.4 4.9

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 476,435 472,724 475,587 474,719 22,302 18,892 21,019 19,077 4.7 4.0 4.4 4.0

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,006 100,040 91,811 97,101 18,110 17,978 15,383 15,150 19.1 18.0 16.8 15.6

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,342,421 1,374,366 1,334,504 1,358,380 46,406 44,246 45,836 45,183 3.5 3.2 3.4 3.3

Fayetteville-Springdale-Rogers. . . . . . . . . 266,858 279,460 266,181 275,998 6,764 6,775 6,613 6,970 2.5 2.4 2.5 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,476 122,459 120,573 121,824 5,113 4,770 5,001 4,695 4.2 3.9 4.1 3.9

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 39,419 40,477 39,108 39,980 1,588 1,455 1,556 1,448 4.0 3.6 4.0 3.6

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,541 64,468 62,303 64,002 1,833 1,786 1,796 1,808 2.9 2.8 2.9 2.8

Little Rock-North Little Rock-Conway. . . . 350,226 357,970 346,511 353,321 10,979 10,521 10,773 10,668 3.1 2.9 3.1 3.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,018 36,130 35,730 35,736 1,682 1,573 1,613 1,612 4.7 4.4 4.5 4.5

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,201,496 19,357,850 19,157,621 19,344,423 1,007,701 838,586 963,869 775,534 5.2 4.3 5.0 4.0

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 390,389 388,888 385,809 385,141 35,607 28,950 35,968 28,403 9.1 7.4 9.3 7.4

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,218 104,762 103,513 103,863 6,043 4,899 6,020 4,967 5.8 4.7 5.8 4.8

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,546 76,903 76,747 74,652 19,310 17,892 17,495 14,800 24.9 23.3 22.8 19.8

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443,033 445,003 443,188 441,855 39,791 34,293 40,921 33,461 9.0 7.7 9.2 7.6

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 56,340 56,533 56,023 56,033 5,047 4,141 5,313 4,219 9.0 7.3 9.5 7.5

Los Angeles-Long Beach-Anaheim. . . . . 6,680,714 6,773,603 6,673,583 6,762,774 324,880 278,061 303,397 258,310 4.9 4.1 4.5 3.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,067 61,491 59,689 60,215 4,993 4,038 5,301 4,208 8.2 6.6 8.9 7.0

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,471 115,785 114,188 114,142 9,840 8,261 10,698 8,960 8.4 7.1 9.4 7.8

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246,038 246,403 243,972 245,489 18,830 15,331 19,077 15,220 7.7 6.2 7.8 6.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,800 76,606 72,397 73,442 2,899 2,767 3,134 2,397 3.9 3.6 4.3 3.3

Oxnard-Thousand Oaks-Ventura. . . . . . . 429,873 432,538 429,666 432,981 22,567 18,189 21,526 16,370 5.2 4.2 5.0 3.8

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,663 77,104 74,927 76,477 4,659 3,756 4,692 3,695 6.2 4.9 6.3 4.8

Riverside-San Bernardino-Ontario. . . . . . 1,997,618 2,027,884 2,010,402 2,042,886 118,516 96,670 109,081 83,812 5.9 4.8 5.4 4.1

Sacramento--Roseville--Arden-Arcade. . . 1,073,545 1,082,912 1,075,379 1,084,216 55,080 44,012 52,279 40,034 5.1 4.1 4.9 3.7

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223,644 222,792 219,341 218,556 11,934 10,225 14,315 12,694 5.3 4.6 6.5 5.8

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,579,376 1,579,873 1,576,122 1,584,735 73,713 58,683 68,236 51,521 4.7 3.7 4.3 3.3

San Francisco-Oakland-Hayward. . . . . . . 2,566,170 2,574,261 2,555,634 2,581,796 97,060 78,347 90,096 68,166 3.8 3.0 3.5 2.6

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,060,601 1,067,783 1,061,907 1,072,902 40,858 32,169 38,023 28,669 3.9 3.0 3.6 2.7

San Luis Obispo-Paso Robles-Arroyo

Grande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,399 141,134 140,751 141,080 5,821 4,535 5,461 4,073 4.1 3.2 3.9 2.9

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 145,014 145,048 143,630 144,013 7,683 6,393 8,810 7,719 5.3 4.4 6.1 5.4

Santa Maria-Santa Barbara. . . . . . . . . . . . 217,401 219,576 216,027 218,535 10,052 8,305 10,264 8,278 4.6 3.8 4.8 3.8

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 262,259 263,330 257,996 259,504 9,943 9,207 9,528 7,247 3.8 3.5 3.7 2.8

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 321,597 319,758 317,983 317,517 23,802 19,788 24,296 19,662 7.4 6.2 7.6 6.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 209,244 209,096 208,843 209,237 11,022 9,034 10,690 8,209 5.3 4.3 5.1 3.9

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 202,988 202,840 201,086 202,423 21,396 19,032 21,481 18,067 10.5 9.4 10.7 8.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,424 73,072 73,322 72,692 5,795 4,727 6,264 5,162 7.9 6.5 8.5 7.1

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,915,022 3,022,135 2,899,265 3,028,318 82,055 79,777 78,408 87,754 2.8 2.6 2.7 2.9

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,098 190,991 182,598 191,647 4,242 4,396 3,903 4,734 2.3 2.3 2.1 2.5

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 330,186 340,391 328,697 341,163 10,541 10,378 10,041 11,376 3.2 3.0 3.1 3.3

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,557,640 1,604,083 1,546,763 1,609,855 42,055 41,381 39,627 44,975 2.7 2.6 2.6 2.8

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 191,177 200,851 190,044 200,029 4,573 4,551 4,239 4,910 2.4 2.3 2.2 2.5

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 72,234 73,021 71,942 73,167 3,032 2,453 3,027 2,728 4.2 3.4 4.2 3.7

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151,625 160,043 150,979 159,525 4,281 3,845 3,968 4,179 2.8 2.4 2.6 2.6

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,334 75,527 73,428 75,760 2,970 2,992 3,083 3,354 4.0 4.0 4.2 4.4

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,885,732 1,899,371 1,882,158 1,898,168 79,435 81,857 73,411 82,085 4.2 4.3 3.9 4.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 461,636 465,811 462,836 467,215 19,333 20,074 18,024 20,030 4.2 4.3 3.9 4.3

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,478 107,218 106,784 107,645 3,585 3,654 3,304 3,603 3.4 3.4 3.1 3.3

Hartford-West Hartford-East Hartford. . . . 617,613 619,899 614,128 618,577 25,813 26,875 23,735 27,049 4.2 4.3 3.9 4.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 323,256 327,212 323,426 326,846 13,728 14,160 12,605 14,115 4.2 4.3 3.9 4.3

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 141,699 141,998 141,445 140,714 6,137 5,971 5,740 6,023 4.3 4.2 4.1 4.3

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,476 111,145 110,239 111,421 5,844 5,917 5,423 6,034 5.3 5.3 4.9 5.4

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470,204 474,369 470,281 474,209 19,814 20,733 18,029 19,527 4.2 4.4 3.8 4.1

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,942 77,497 77,655 77,748 3,536 3,638 3,113 3,345 4.5 4.7 4.0 4.3

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 182,424 185,300 180,278 182,793 9,400 8,841 10,097 10,310 5.2 4.8 5.6 5.6

District of Columbia. . . . . . . . . . . . . . . . . . . . . 394,704 401,159 394,454 401,691 23,389 27,462 22,343 23,190 5.9 6.8 5.7 5.8

Washington-Arlington-Alexandria. . . . . . . 3,337,197 3,391,066 3,333,272 3,380,530 128,641 123,251 119,213 122,612 3.9 3.6 3.6 3.6

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,932,052 10,096,651 9,927,342 10,080,228 490,603 361,634 473,563 386,197 4.9 3.6 4.8 3.8

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 331,306 326,635 331,020 328,531 15,583 11,030 15,057 11,858 4.7 3.4 4.5 3.6

Crestview-Fort Walton Beach-Destin. . . . 122,981 124,882 121,209 123,079 5,022 3,499 4,928 3,845 4.1 2.8 4.1 3.1

Deltona-Daytona Beach-Ormond

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293,778 297,652 292,027 295,863 15,313 10,948 15,183 11,892 5.2 3.7 5.2 4.0

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 142,186 145,099 140,947 143,391 6,138 4,442 5,938 4,967 4.3 3.1 4.2 3.5

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,866 46,989 47,511 46,937 3,204 2,289 3,166 2,496 6.7 4.9 6.7 5.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 739,678 754,036 736,685 752,490 34,969 25,022 34,457 27,044 4.7 3.3 4.7 3.6

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 288,211 291,761 287,885 293,853 16,476 11,635 16,060 12,640 5.7 4.0 5.6 4.3

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,085,377 3,143,798 3,096,237 3,140,839 157,254 123,322 148,763 127,804 5.1 3.9 4.8 4.1

Naples-Immokalee-Marco Island. . . . . . . . 166,573 168,991 168,151 170,771 8,549 6,422 8,021 6,642 5.1 3.8 4.8 3.9

North Port-Sarasota-Bradenton. . . . . . . . . 355,102 364,998 354,410 365,381 16,678 11,751 15,979 12,575 4.7 3.2 4.5 3.4

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134,021 135,345 134,337 135,057 7,927 5,464 7,727 5,989 5.9 4.0 5.8 4.4

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,266,538 1,299,118 1,264,681 1,297,228 57,423 41,065 55,813 44,774 4.5 3.2 4.4 3.5

Palm Bay-Melbourne-Titusville. . . . . . . . . 265,392 268,056 263,879 265,941 13,608 9,512 13,278 10,267 5.1 3.5 5.0 3.9

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 93,642 95,196 92,473 93,351 4,472 3,116 4,526 3,524 4.8 3.3 4.9 3.8

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 218,918 221,279 217,172 219,394 10,535 7,483 10,332 8,136 4.8 3.4 4.8 3.7

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 207,222 209,613 208,128 208,999 11,314 8,229 10,944 8,994 5.5 3.9 5.3 4.3

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 69,974 71,266 70,057 71,766 3,800 2,736 3,638 2,893 5.4 3.8 5.2 4.0

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 62,544 63,139 63,463 63,982 3,985 2,723 3,766 2,901 6.4 4.3 5.9 4.5

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36,723 36,982 36,766 37,134 2,450 1,778 2,395 1,903 6.7 4.8 6.5 5.1

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 192,244 193,652 191,250 192,243 8,995 6,333 8,741 6,984 4.7 3.3 4.6 3.6

Tampa-St. Petersburg-Clearwater. . . . . . 1,490,702 1,517,991 1,488,266 1,514,081 69,477 50,090 67,925 54,449 4.7 3.3 4.6 3.6

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 29,599 30,092 29,498 29,973 2,127 1,444 2,067 1,558 7.2 4.8 7.0 5.2

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,972,208 5,074,106 4,975,427 5,075,968 276,234 221,354 251,828 220,636 5.6 4.4 5.1 4.3

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,731 67,695 68,020 67,831 4,316 3,486 3,960 3,512 6.4 5.1 5.8 5.2

Athens-Clarke County. . . . . . . . . . . . . . . . . 97,610 101,993 98,786 102,660 5,183 4,199 5,278 4,216 5.3 4.1 5.3 4.1

Atlanta-Sandy Springs-Roswell. . . . . . . . . 2,974,846 3,043,983 2,974,539 3,046,313 155,188 126,061 143,823 127,013 5.2 4.1 4.8 4.2

Augusta-Richmond County. . . . . . . . . . . . . 264,188 269,441 263,998 269,843 15,350 12,367 13,294 12,201 5.8 4.6 5.0 4.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,747 52,986 52,371 52,659 3,178 2,450 2,709 2,313 6.0 4.6 5.2 4.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 124,227 124,476 124,200 124,995 8,175 6,313 7,588 6,345 6.6 5.1 6.1 5.1

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,511 62,890 62,340 63,071 3,929 3,078 3,643 3,353 6.3 4.9 5.8 5.3

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 97,686 99,882 97,618 100,133 4,649 3,569 4,005 3,623 4.8 3.6 4.1 3.6

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 32,825 33,371 32,911 33,352 1,953 1,576 1,803 1,604 5.9 4.7 5.5 4.8

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,321 105,157 104,982 105,248 6,706 5,293 5,746 5,123 6.4 5.0 5.5 4.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,957 43,982 43,846 44,064 2,632 2,053 2,406 2,049 6.0 4.7 5.5 4.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,266 186,305 181,868 184,949 9,779 7,567 8,803 7,497 5.4 4.1 4.8 4.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,633 65,475 65,042 65,770 3,413 2,780 3,204 2,784 5.3 4.2 4.9 4.2

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 84,683 85,223 83,614 84,792 5,893 4,379 4,375 3,793 7.0 5.1 5.2 4.5

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687,426 681,699 692,102 683,547 20,269 12,925 19,950 13,786 2.9 1.9 2.9 2.0

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 84,973 85,095 85,347 84,596 2,693 1,711 2,617 1,799 3.2 2.0 3.1 2.1

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 477,712 473,004 480,395 476,257 13,226 8,513 13,018 9,193 2.8 1.8 2.7 1.9

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819,947 832,579 818,262 838,263 26,793 21,817 30,103 25,588 3.3 2.6 3.7 3.1

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 334,509 343,645 339,326 350,513 11,179 9,119 12,322 10,429 3.3 2.7 3.6 3.0

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 72,998 73,605 73,174 74,370 2,964 2,362 3,303 2,858 4.1 3.2 4.5 3.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,313 67,028 66,330 67,640 1,788 1,559 2,032 1,797 2.7 2.3 3.1 2.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,013 31,812 31,353 32,227 1,086 881 1,145 1,006 3.5 2.8 3.7 3.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,885 41,345 42,619 42,249 1,343 1,047 1,456 1,247 3.1 2.5 3.4 3.0

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,520,067 6,434,065 6,493,487 6,467,818 363,282 301,844 340,691 302,474 5.6 4.7 5.2 4.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 98,104 96,548 97,955 96,623 4,703 3,696 4,545 3,725 4.8 3.8 4.6 3.9

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,372 60,142 61,152 60,537 3,246 2,649 3,163 2,725 5.4 4.4 5.2 4.5

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 122,566 119,159 121,897 118,935 5,971 4,905 5,757 5,002 4.9 4.1 4.7 4.2

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,909,472 4,861,585 4,881,550 4,882,913 272,019 230,465 252,176 228,255 5.5 4.7 5.2 4.7

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,716 33,502 34,723 33,531 2,349 2,020 2,317 2,026 6.8 6.0 6.7 6.0

Davenport-Moline-Rock Island1. . . . . . . . . 191,323 186,920 190,291 188,858 10,036 7,583 9,160 7,396 5.2 4.1 4.8 3.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,831 48,615 49,883 48,748 3,058 2,506 2,976 2,580 6.1 5.2 6.0 5.3

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,982 54,646 55,452 55,457 3,231 2,617 3,189 2,793 5.9 4.8 5.8 5.0

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,898 178,338 182,151 178,584 10,895 8,437 10,700 8,587 6.0 4.7 5.9 4.8

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,107 162,566 166,878 163,548 10,306 8,177 10,014 8,357 6.2 5.0 6.0 5.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 113,373 110,254 113,693 111,474 5,073 4,366 4,984 4,427 4.5 4.0 4.4 4.0

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,328,690 3,306,994 3,316,013 3,288,895 130,358 112,598 127,730 110,326 3.9 3.4 3.9 3.4

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 79,378 78,769 78,788 78,395 3,199 2,718 3,096 2,859 4.0 3.5 3.9 3.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,381 45,057 44,236 45,041 1,322 1,154 1,306 1,147 3.0 2.6 3.0 2.5

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 108,066 111,125 107,395 110,526 3,425 2,674 3,363 2,783 3.2 2.4 3.1 2.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Indiana - Continued

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 160,153 160,521 159,656 159,732 6,082 5,071 6,011 4,975 3.8 3.2 3.8 3.1

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 213,186 210,071 210,847 208,348 7,715 6,548 7,656 6,412 3.6 3.1 3.6 3.1

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,037,322 1,041,365 1,037,505 1,034,434 37,825 33,594 37,011 32,218 3.6 3.2 3.6 3.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38,342 38,259 38,163 38,313 1,680 1,325 1,514 1,291 4.4 3.5 4.0 3.4

Lafayette-West Lafayette. . . . . . . . . . . . . . 111,930 112,020 111,570 112,108 4,007 3,348 3,870 3,499 3.6 3.0 3.5 3.1

Michigan City-La Porte. . . . . . . . . . . . . . . . 48,100 45,756 47,893 45,524 2,402 1,939 2,387 1,932 5.0 4.2 5.0 4.2

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,227 54,761 54,916 54,383 2,551 2,281 2,478 2,318 4.6 4.2 4.5 4.3

South Bend-Mishawaka. . . . . . . . . . . . . . . 159,929 157,080 159,376 156,302 6,676 5,720 6,497 5,770 4.2 3.6 4.1 3.7

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,747 77,159 77,461 76,916 3,538 3,125 3,522 3,140 4.6 4.1 4.5 4.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,702,903 1,685,910 1,691,617 1,680,021 54,397 39,708 50,922 42,682 3.2 2.4 3.0 2.5

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,901 59,094 58,556 58,814 1,204 818 978 879 2.0 1.4 1.7 1.5

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,315 142,067 142,729 142,260 4,674 3,736 4,371 4,128 3.3 2.6 3.1 2.9

Des Moines-West Des Moines. . . . . . . . . 345,621 346,404 344,714 346,756 10,416 7,815 9,664 8,451 3.0 2.3 2.8 2.4

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,085 54,035 55,050 53,931 1,598 1,125 1,466 1,272 2.9 2.1 2.7 2.4

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,723 99,100 98,185 99,098 2,410 1,898 2,039 1,999 2.4 1.9 2.1 2.0

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 91,788 90,580 91,739 90,534 2,839 2,288 2,984 2,525 3.1 2.5 3.3 2.8

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 91,091 88,407 90,321 88,123 3,530 2,339 3,390 2,528 3.9 2.6 3.8 2.9

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,483,972 1,490,226 1,482,627 1,490,742 59,924 45,049 56,378 48,233 4.0 3.0 3.8 3.2

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,772 66,768 66,849 67,123 2,220 1,650 2,175 1,881 3.3 2.5 3.3 2.8

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 50,704 50,077 50,681 50,005 1,608 1,137 1,608 1,323 3.2 2.3 3.2 2.6

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,949 120,886 120,116 121,762 4,653 3,532 4,440 3,869 3.9 2.9 3.7 3.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306,456 311,186 307,403 310,955 14,209 10,611 13,348 11,425 4.6 3.4 4.3 3.7

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,997,151 2,050,958 2,002,931 2,054,529 91,044 88,189 84,844 83,255 4.6 4.3 4.2 4.1

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 79,944 82,832 80,270 83,370 2,833 3,318 2,710 2,910 3.5 4.0 3.4 3.5

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 65,004 67,101 65,435 67,405 2,751 2,814 2,583 2,603 4.2 4.2 3.9 3.9

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 264,015 271,665 266,298 271,471 8,916 9,059 8,297 8,588 3.4 3.3 3.1 3.2

Louisville/Jefferson County. . . . . . . . . . . . . 640,683 661,836 645,263 664,724 25,056 24,830 23,716 23,245 3.9 3.8 3.7 3.5

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 53,780 54,670 53,541 54,941 2,359 2,305 2,111 2,225 4.4 4.2 3.9 4.0

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,118,476 2,099,057 2,104,428 2,109,462 124,482 89,657 114,387 89,073 5.9 4.3 5.4 4.2

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,507 64,386 65,205 64,671 3,997 2,978 3,734 2,972 6.1 4.6 5.7 4.6

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 422,181 422,514 417,556 425,544 21,533 15,532 19,751 15,541 5.1 3.7 4.7 3.7

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,343 54,167 54,162 54,499 3,424 2,452 3,176 2,489 6.3 4.5 5.9 4.6

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 90,524 87,619 89,697 87,988 6,000 3,890 5,461 3,868 6.6 4.4 6.1 4.4

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 212,916 209,124 211,088 210,264 14,615 9,614 13,310 9,436 6.9 4.6 6.3 4.5

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 109,643 113,289 109,142 114,047 4,926 3,778 4,576 3,829 4.5 3.3 4.2 3.4

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81,337 81,149 80,925 81,555 4,807 3,541 4,502 3,527 5.9 4.4 5.6 4.3

New Orleans-Metairie. . . . . . . . . . . . . . . . . 599,830 594,026 596,610 596,304 32,129 24,192 29,289 23,754 5.4 4.1 4.9 4.0

Shreveport-Bossier City. . . . . . . . . . . . . . . 189,794 185,312 188,574 186,004 12,092 8,739 11,080 8,584 6.4 4.7 5.9 4.6

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 697,727 703,975 691,090 696,606 23,884 21,139 25,518 20,875 3.4 3.0 3.7 3.0

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,740 71,763 71,272 70,899 2,424 2,175 2,508 2,060 3.4 3.0 3.5 2.9

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 56,579 57,098 56,577 56,986 1,806 1,594 1,908 1,556 3.2 2.8 3.4 2.7

Portland-South Portland. . . . . . . . . . . . . . . 203,988 207,335 203,395 206,405 5,720 5,060 6,076 5,010 2.8 2.4 3.0 2.4

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,187,678 3,242,273 3,180,574 3,231,517 133,706 122,365 126,573 130,005 4.2 3.8 4.0 4.0

Baltimore-Columbia-Towson. . . . . . . . . . . 1,492,134 1,512,459 1,490,402 1,510,825 64,540 58,621 60,909 61,635 4.3 3.9 4.1 4.1

California-Lexington Park. . . . . . . . . . . . . . 54,607 55,672 54,353 55,319 2,117 2,008 1,955 2,156 3.9 3.6 3.6 3.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,482 44,340 44,172 43,991 2,345 2,107 2,189 2,303 5.3 4.8 5.0 5.2

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 132,954 132,521 132,719 133,065 5,561 4,815 5,157 5,207 4.2 3.6 3.9 3.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,576,746 3,624,102 3,583,688 3,624,361 101,927 119,447 98,720 118,960 2.8 3.3 2.8 3.3

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 120,594 123,774 117,673 120,428 3,559 4,152 3,967 4,800 3.0 3.4 3.4 4.0

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,643,751 2,680,849 2,654,514 2,683,488 70,763 81,960 68,243 80,569 2.7 3.1 2.6 3.0

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 75,363 76,080 75,768 76,260 2,495 2,886 2,391 2,888 3.3 3.8 3.2 3.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 82,782 84,767 82,674 85,234 3,450 4,036 3,301 4,138 4.2 4.8 4.0 4.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42,192 42,274 42,252 42,247 1,365 1,633 1,393 1,687 3.2 3.9 3.3 4.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 364,257 368,326 364,086 369,468 12,722 14,613 12,295 14,580 3.5 4.0 3.4 3.9

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 344,979 346,942 345,799 347,814 10,897 12,298 10,416 12,144 3.2 3.5 3.0 3.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,868,988 4,862,005 4,845,978 4,869,727 234,794 206,364 203,410 192,643 4.8 4.2 4.2 4.0

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 195,056 195,158 195,715 196,339 7,133 6,695 5,706 6,140 3.7 3.4 2.9 3.1

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 64,594 64,054 64,793 64,377 2,803 2,968 2,485 2,814 4.3 4.6 3.8 4.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,817 50,851 52,063 51,252 2,365 2,403 2,174 2,315 4.6 4.7 4.2 4.5

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,088,594 2,097,497 2,067,175 2,095,142 118,523 89,144 97,931 77,678 5.7 4.3 4.7 3.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,620 180,856 183,947 181,778 9,140 9,498 8,130 9,199 5.0 5.3 4.4 5.1

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 570,835 571,262 573,025 577,560 18,815 19,166 16,812 18,663 3.3 3.4 2.9 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,629 73,956 74,749 74,530 3,276 3,184 2,900 3,070 4.4 4.3 3.9 4.1

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 169,355 169,486 169,471 170,045 6,717 6,884 6,109 6,688 4.0 4.1 3.6 3.9

Lansing-East Lansing. . . . . . . . . . . . . . . . . 250,157 247,147 251,568 249,269 9,210 9,773 8,013 9,207 3.7 4.0 3.2 3.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,950 40,119 41,129 40,449 1,713 1,694 1,589 1,643 4.2 4.2 3.9 4.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,594 77,374 77,072 77,009 3,717 3,913 2,710 3,003 4.8 5.1 3.5 3.9

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 76,565 76,274 76,570 76,898 3,778 3,939 3,407 3,777 4.9 5.2 4.4 4.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 74,000 73,022 73,586 73,436 3,292 3,192 3,027 3,270 4.4 4.4 4.1 4.5

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,477 88,407 89,147 89,274 4,083 4,275 3,731 4,208 4.6 4.8 4.2 4.7

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,003,265 3,059,481 2,997,906 3,066,990 103,221 72,773 102,107 80,545 3.4 2.4 3.4 2.6

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Minnesota - Continued

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,573 143,214 141,896 144,411 6,789 4,403 7,105 5,346 4.8 3.1 5.0 3.7

Mankato-North Mankato. . . . . . . . . . . . . . . 60,863 61,993 60,354 61,649 1,630 1,150 1,519 1,160 2.7 1.9 2.5 1.9

Minneapolis-St. Paul-Bloomington. . . . . . 1,938,155 1,990,577 1,935,389 1,993,973 64,397 46,939 61,274 47,723 3.3 2.4 3.2 2.4

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 118,609 119,745 118,592 119,560 3,387 2,454 3,306 2,595 2.9 2.0 2.8 2.2

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 109,915 111,510 109,702 111,804 3,671 2,552 3,641 2,923 3.3 2.3 3.3 2.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,287,090 1,269,576 1,281,867 1,276,553 73,056 56,169 64,314 57,351 5.7 4.4 5.0 4.5

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 165,108 163,255 164,812 164,672 9,745 7,544 8,663 7,663 5.9 4.6 5.3 4.7

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 68,391 68,414 68,825 69,282 3,560 2,584 3,101 2,620 5.2 3.8 4.5 3.8

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272,707 270,149 271,565 271,754 13,310 10,544 11,575 10,618 4.9 3.9 4.3 3.9

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,107,424 3,041,351 3,091,875 3,021,930 126,662 75,038 114,870 96,100 4.1 2.5 3.7 3.2

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 48,669 44,724 48,670 44,760 2,091 1,103 1,880 1,512 4.3 2.5 3.9 3.4

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,265 99,482 100,198 99,244 2,738 1,454 2,601 2,246 2.7 1.5 2.6 2.3

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 76,244 74,085 76,047 73,474 2,385 1,363 2,251 1,947 3.1 1.8 3.0 2.6

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,114 85,279 86,043 85,189 3,384 1,754 3,115 2,436 3.9 2.1 3.6 2.9

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,129,022 1,124,886 1,122,617 1,117,491 45,903 35,628 41,840 36,292 4.1 3.2 3.7 3.2

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 66,097 63,648 65,933 63,357 2,412 1,461 2,268 1,836 3.6 2.3 3.4 2.9

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,481,797 1,450,209 1,476,306 1,447,312 63,244 39,761 56,532 48,918 4.3 2.7 3.8 3.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 233,914 230,422 232,249 230,296 8,347 4,318 7,666 6,313 3.6 1.9 3.3 2.7

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 526,549 522,847 524,923 523,574 19,296 18,829 19,879 21,278 3.7 3.6 3.8 4.1

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,273 87,598 88,027 88,063 2,865 2,760 2,803 3,052 3.2 3.2 3.2 3.5

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 38,507 37,778 38,532 38,145 1,385 1,313 1,336 1,497 3.6 3.5 3.5 3.9

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,637 62,179 62,451 62,427 2,036 1,958 2,118 2,169 3.3 3.1 3.4 3.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,011,427 1,007,622 1,010,228 1,008,349 30,561 23,591 27,976 23,919 3.0 2.3 2.8 2.4

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,480 42,752 43,243 42,632 1,390 1,039 1,261 1,087 3.2 2.4 2.9 2.5

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 179,814 180,124 179,952 180,177 4,947 3,876 4,341 3,804 2.8 2.2 2.4 2.1

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 480,218 483,740 481,335 483,860 15,066 11,680 13,843 11,865 3.1 2.4 2.9 2.5

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,432,972 1,461,212 1,433,620 1,471,481 73,890 70,732 71,570 72,048 5.2 4.8 5.0 4.9

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 24,651 24,972 24,564 25,088 1,306 1,195 1,292 1,247 5.3 4.8 5.3 5.0

Las Vegas-Henderson-Paradise. . . . . . . . 1,054,258 1,077,840 1,053,392 1,086,144 56,074 54,595 54,278 55,648 5.3 5.1 5.2 5.1

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235,387 237,848 236,065 239,061 10,250 9,359 9,930 9,487 4.4 3.9 4.2 4.0

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 748,222 743,251 749,293 743,037 18,430 17,943 19,573 18,542 2.5 2.4 2.6 2.5

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 85,722 84,742 85,755 84,560 1,893 1,824 1,977 1,863 2.2 2.2 2.3 2.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 116,635 115,916 117,232 116,771 2,837 2,772 2,980 2,791 2.4 2.4 2.5 2.4

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 76,010 74,930 75,702 74,843 1,730 1,706 1,833 1,704 2.3 2.3 2.4 2.3

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,505,268 4,490,335 4,492,794 4,485,012 205,724 211,764 186,915 217,068 4.6 4.7 4.2 4.8

Atlantic City-Hammonton. . . . . . . . . . . . . . 123,533 124,365 122,403 123,804 8,470 8,379 8,498 9,001 6.9 6.7 6.9 7.3

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 44,663 45,769 42,776 44,906 3,518 3,605 4,571 5,437 7.9 7.9 10.7 12.1

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,343 198,411 200,704 198,453 7,965 8,336 7,049 8,411 4.0 4.2 3.5 4.2

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 66,348 68,613 67,221 69,461 4,242 4,527 4,067 4,951 6.4 6.6 6.1 7.1

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 929,347 932,944 935,046 938,742 61,112 54,766 60,388 53,908 6.6 5.9 6.5 5.7

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 423,472 428,293 428,308 431,747 25,839 23,935 25,177 23,286 6.1 5.6 5.9 5.4

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 54,244 52,911 53,516 52,881 4,676 3,441 4,486 3,369 8.6 6.5 8.4 6.4

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 95,720 95,062 96,380 95,863 6,276 5,874 6,431 5,994 6.6 6.2 6.7 6.3

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,123 73,493 73,666 73,855 3,869 3,737 3,774 3,592 5.3 5.1 5.1 4.9

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,548,033 9,711,454 9,496,305 9,644,829 455,099 448,961 428,310 431,628 4.8 4.6 4.5 4.5

Albany-Schenectady-Troy. . . . . . . . . . . . . . 445,374 449,770 443,907 448,339 17,532 18,009 16,864 19,188 3.9 4.0 3.8 4.3

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 108,480 108,984 108,131 108,676 5,433 5,218 5,304 5,908 5.0 4.8 4.9 5.4

Buffalo-Cheektowaga-Niagara Falls. . . . . 546,348 547,312 541,316 543,998 26,561 26,259 26,319 29,059 4.9 4.8 4.9 5.3

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,938 35,542 35,934 35,419 1,944 1,810 1,866 1,962 5.4 5.1 5.2 5.5

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 59,845 60,562 59,273 60,117 2,598 2,506 2,922 3,135 4.3 4.1 4.9 5.2

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,772 52,231 50,401 51,966 1,998 2,082 1,932 2,253 3.9 4.0 3.8 4.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88,175 89,482 87,402 88,896 3,691 3,765 3,622 4,036 4.2 4.2 4.1 4.5

New York-Newark-Jersey City. . . . . . . . . . 9,972,256 10,096,595 9,929,152 10,029,312 468,892 466,283 426,470 434,701 4.7 4.6 4.3 4.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 519,108 520,334 516,232 517,583 23,588 23,982 23,117 26,145 4.5 4.6 4.5 5.1

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 305,563 309,095 303,396 308,940 14,159 14,298 14,081 15,700 4.6 4.6 4.6 5.1

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 128,301 129,967 127,136 129,484 5,856 6,068 5,962 6,874 4.6 4.7 4.7 5.3

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 45,100 45,655 44,814 45,859 2,576 2,468 2,835 3,097 5.7 5.4 6.3 6.8

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,928,025 4,955,702 4,921,006 4,944,492 251,212 203,745 241,445 222,035 5.1 4.1 4.9 4.5

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228,382 229,352 228,145 228,784 9,009 7,575 9,106 8,314 3.9 3.3 4.0 3.6

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,919 80,741 79,809 80,578 3,685 3,094 3,600 3,354 4.6 3.8 4.5 4.2

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,302,500 1,316,911 1,302,803 1,313,452 60,215 51,693 59,397 55,700 4.6 3.9 4.6 4.2

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 290,839 297,768 291,666 297,132 12,767 10,779 12,642 11,630 4.4 3.6 4.3 3.9

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 147,677 148,921 148,509 148,942 9,761 7,716 9,327 8,442 6.6 5.2 6.3 5.7

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 54,272 52,812 53,354 52,161 4,064 2,436 3,134 2,685 7.5 4.6 5.9 5.1

Greensboro-High Point. . . . . . . . . . . . . . . . 370,342 369,785 371,436 370,482 18,775 16,026 18,527 17,470 5.1 4.3 5.0 4.7

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 89,403 87,788 88,910 87,694 5,496 3,905 4,639 4,279 6.1 4.4 5.2 4.9

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 172,150 171,715 171,920 171,685 8,075 6,846 8,068 7,296 4.7 4.0 4.7 4.2

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 63,831 64,537 64,123 64,504 3,474 3,062 3,548 3,322 5.4 4.7 5.5 5.2

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,094 51,766 51,954 51,820 2,909 2,227 2,743 2,478 5.6 4.3 5.3 4.8

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687,795 704,694 689,659 704,965 29,351 25,197 28,889 27,383 4.3 3.6 4.2 3.9

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 68,482 66,759 68,227 66,596 5,256 3,981 4,719 4,312 7.7 6.0 6.9 6.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,198 147,042 143,649 147,110 6,779 5,725 6,653 6,336 4.7 3.9 4.6 4.3

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 324,098 323,789 323,424 323,269 15,081 12,835 15,033 13,971 4.7 4.0 4.6 4.3

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 417,255 418,732 413,729 413,804 9,260 7,301 10,765 9,373 2.2 1.7 2.6 2.3

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,822 69,547 69,220 69,356 1,410 1,224 1,707 1,647 2.0 1.8 2.5 2.4

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,049 140,176 137,395 140,036 2,616 2,191 2,934 2,757 1.9 1.6 2.1 2.0

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 58,002 56,710 57,950 56,757 1,242 960 1,412 1,271 2.1 1.7 2.4 2.2

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,722,196 5,770,907 5,692,448 5,767,484 268,016 260,459 256,301 244,072 4.7 4.5 4.5 4.2

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361,170 360,717 358,748 359,504 17,176 16,493 16,492 15,894 4.8 4.6 4.6 4.4

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 198,576 198,498 196,919 198,575 10,206 9,520 9,858 9,133 5.1 4.8 5.0 4.6

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,090,942 1,112,660 1,081,903 1,110,534 44,801 44,708 42,407 41,367 4.1 4.0 3.9 3.7

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,023,257 1,024,882 1,020,042 1,025,083 52,168 52,854 48,683 46,911 5.1 5.2 4.8 4.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,059,577 1,076,267 1,058,936 1,074,931 41,751 40,189 39,687 38,122 3.9 3.7 3.7 3.5

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383,024 389,750 380,832 392,163 17,388 16,816 16,454 15,901 4.5 4.3 4.3 4.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,939 48,094 47,754 48,218 2,302 2,152 2,227 2,025 4.8 4.5 4.7 4.2

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 53,152 53,196 52,867 53,056 2,730 2,625 2,672 2,592 5.1 4.9 5.1 4.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,996 63,513 62,685 63,608 3,037 2,768 3,025 2,703 4.8 4.4 4.8 4.2

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,913 306,843 303,801 306,728 14,325 14,953 13,648 13,493 4.7 4.9 4.5 4.4

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 51,432 50,770 50,379 50,392 3,422 2,925 3,296 3,066 6.7 5.8 6.5 6.1

Youngstown-Warren-Boardman. . . . . . . . 247,865 244,870 247,130 245,625 14,795 13,765 14,128 13,219 6.0 5.6 5.7 5.4

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,833,474 1,850,053 1,837,205 1,855,713 88,124 75,742 84,586 69,264 4.8 4.1 4.6 3.7

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29,871 30,785 30,087 30,721 1,200 1,058 1,213 947 4.0 3.4 4.0 3.1

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,455 52,811 52,716 52,962 2,427 2,342 2,327 2,146 4.6 4.4 4.4 4.1

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 668,853 679,257 669,656 678,819 28,293 24,746 27,070 22,636 4.2 3.6 4.0 3.3

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,435 481,610 479,159 484,729 23,878 20,978 22,906 18,984 5.0 4.4 4.8 3.9

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,076,489 2,149,135 2,070,415 2,146,652 94,169 88,338 89,684 82,782 4.5 4.1 4.3 3.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,763 59,777 57,692 59,737 3,015 2,821 2,905 2,595 5.2 4.7 5.0 4.3

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 91,047 95,009 90,552 94,945 4,060 3,949 3,962 3,830 4.5 4.2 4.4 4.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,571 49,043 47,634 49,168 1,671 1,549 1,573 1,388 3.5 3.2 3.3 2.8

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,709 188,622 181,911 188,810 8,838 8,260 8,426 7,765 4.9 4.4 4.6 4.1

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,106 36,240 34,745 35,898 2,093 1,905 1,978 1,787 6.0 5.3 5.7 5.0

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,440 106,431 103,173 106,298 5,271 4,744 5,077 4,458 5.1 4.5 4.9 4.2

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,287,314 1,334,639 1,289,464 1,336,879 57,535 51,833 53,935 48,722 4.5 3.9 4.2 3.6

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,807 206,300 198,906 206,900 9,376 8,647 8,895 8,166 4.7 4.2 4.5 3.9

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,461,574 6,372,892 6,439,865 6,379,536 339,080 265,311 312,670 273,749 5.2 4.2 4.9 4.3

Allentown-Bethlehem-Easton. . . . . . . . . . . 433,434 425,095 429,581 424,385 22,173 18,437 20,260 18,840 5.1 4.3 4.7 4.4

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60,502 57,784 59,892 58,268 3,092 2,309 2,862 2,432 5.1 4.0 4.8 4.2

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 43,056 42,535 42,723 42,327 2,040 1,696 1,879 1,775 4.7 4.0 4.4 4.2

Chambersburg-Waynesboro. . . . . . . . . . . 77,181 75,494 76,683 75,714 3,956 2,728 3,596 2,805 5.1 3.6 4.7 3.7

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 81,515 79,675 81,065 79,996 5,051 4,153 4,651 4,285 6.2 5.2 5.7 5.4

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133,504 130,635 132,816 131,422 8,398 6,079 7,828 6,392 6.3 4.7 5.9 4.9

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,671 55,549 54,947 55,221 2,087 1,626 1,925 1,703 3.7 2.9 3.5 3.1

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 295,715 294,944 294,200 294,913 13,035 10,541 11,903 10,716 4.4 3.6 4.0 3.6

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 61,251 59,685 60,889 59,874 3,811 2,837 3,646 2,969 6.2 4.8 6.0 5.0

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 279,897 277,266 276,685 276,169 11,329 9,015 10,175 9,081 4.0 3.3 3.7 3.3

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,409 69,116 69,883 69,191 3,100 2,418 2,828 2,644 4.4 3.5 4.0 3.8

Philadelphia-Camden-Wilmington. . . . . . . 3,098,302 3,089,724 3,102,050 3,093,418 153,868 135,744 139,731 136,417 5.0 4.4 4.5 4.4

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,212,944 1,196,648 1,211,503 1,201,635 65,428 49,550 61,411 51,788 5.4 4.1 5.1 4.3

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213,586 211,308 213,065 211,537 10,465 8,324 9,637 8,567 4.9 3.9 4.5 4.0

Scranton--Wilkes-Barre--Hazleton. . . . . . . 279,534 275,748 279,368 277,979 16,146 13,019 14,832 13,304 5.8 4.7 5.3 4.8

State College. . . . . . . . . . . . . . . . . . . . . . . . 81,139 78,896 80,940 79,119 3,238 2,391 2,827 2,500 4.0 3.0 3.5 3.2

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 58,457 56,256 58,108 56,588 3,564 2,602 3,274 2,776 6.1 4.6 5.6 4.9

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 234,448 230,543 233,267 230,920 10,549 8,667 9,614 8,759 4.5 3.8 4.1 3.8

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 552,117 553,030 553,212 557,091 25,753 21,339 25,413 23,822 4.7 3.9 4.6 4.3

Providence-Warwick. . . . . . . . . . . . . . . . . . 678,057 679,498 679,142 683,737 29,594 26,063 28,995 28,449 4.4 3.8 4.3 4.2

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,299,345 2,315,358 2,285,900 2,301,906 102,913 90,403 91,905 91,379 4.5 3.9 4.0 4.0

Charleston-North Charleston. . . . . . . . . . . 374,348 378,402 373,388 376,687 14,260 12,370 12,594 12,459 3.8 3.3 3.4 3.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 402,792 403,386 400,549 400,255 16,988 15,919 15,314 16,022 4.2 3.9 3.8 4.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95,473 95,519 95,100 95,113 4,721 4,275 4,245 4,249 4.9 4.5 4.5 4.5

Greenville-Anderson-Mauldin. . . . . . . . . . . 424,262 424,442 421,840 422,680 16,874 14,664 15,169 14,897 4.0 3.5 3.6 3.5

Hilton Head Island-Bluffton-Beaufort. . . . 84,201 84,410 83,217 83,437 3,695 3,135 3,165 3,130 4.4 3.7 3.8 3.8

Myrtle Beach-Conway-North Myrtle

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184,768 190,166 183,803 187,107 10,064 8,706 9,799 9,312 5.4 4.6 5.3 5.0

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 155,720 156,417 154,089 155,749 6,596 5,829 5,915 5,887 4.2 3.7 3.8 3.8

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,178 43,623 43,796 43,333 2,328 2,119 2,144 2,144 5.3 4.9 4.9 4.9

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 454,982 458,894 454,040 458,728 11,096 13,805 12,215 15,310 2.4 3.0 2.7 3.3

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,663 74,170 71,672 73,764 1,931 2,357 2,129 2,661 2.7 3.2 3.0 3.6

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 148,788 150,375 149,457 150,273 3,006 3,849 3,363 4,304 2.0 2.6 2.3 2.9

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,162,841 3,213,334 3,157,185 3,206,346 157,787 97,259 148,866 107,045 5.0 3.0 4.7 3.3

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 262,493 268,898 261,668 269,570 13,681 9,044 12,565 9,457 5.2 3.4 4.8 3.5

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,625 110,917 110,172 111,128 6,066 4,294 5,663 4,516 5.5 3.9 5.1 4.1

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,678 59,978 61,823 60,441 2,827 1,758 2,676 1,953 4.9 2.9 4.3 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,363 64,237 63,426 64,099 3,235 2,187 3,066 2,391 5.1 3.4 4.8 3.7

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 89,946 91,287 89,797 90,656 4,961 3,022 4,717 3,321 5.5 3.3 5.3 3.7

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 137,911 138,085 137,498 137,228 7,370 4,811 6,890 5,113 5.3 3.5 5.0 3.7

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 418,339 418,039 415,365 418,370 19,822 11,862 18,704 13,155 4.7 2.8 4.5 3.1

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 628,223 630,622 628,951 633,932 34,277 23,154 32,096 24,875 5.5 3.7 5.1 3.9

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,444 52,310 51,013 52,260 2,719 1,652 2,567 1,887 5.3 3.2 5.0 3.6

Nashville-Davidson--Murfreesboro--

Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 983,698 1,017,288 982,219 1,012,493 38,851 23,712 36,626 26,698 3.9 2.3 3.7 2.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,338,725 13,392,522 13,371,089 13,501,846 612,866 469,673 599,870 499,270 4.6 3.5 4.5 3.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,956 74,157 75,017 75,010 2,974 2,303 2,856 2,427 4.0 3.1 3.8 3.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,311 131,631 132,042 132,639 4,306 3,163 4,159 3,389 3.3 2.4 3.1 2.6

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,123,093 1,133,605 1,124,627 1,146,697 37,322 29,255 35,932 31,314 3.3 2.6 3.2 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 173,842 171,461 173,843 172,457 11,563 10,852 12,042 11,139 6.7 6.3 6.9 6.5

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 165,443 163,137 166,597 164,110 11,444 8,900 11,703 9,520 6.9 5.5 7.0 5.8

College Station-Bryan. . . . . . . . . . . . . . . . . 128,558 131,457 128,453 131,717 4,508 3,307 4,320 3,603 3.5 2.5 3.4 2.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 205,340 207,734 205,885 209,281 12,448 10,659 12,431 11,047 6.1 5.1 6.0 5.3

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,720,265 3,773,278 3,738,873 3,811,477 142,480 112,925 138,210 120,362 3.8 3.0 3.7 3.2

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,034 356,405 355,604 360,689 17,585 13,489 16,969 14,357 5.0 3.8 4.8 4.0

Houston-The Woodlands-Sugar Land. . . 3,293,833 3,284,396 3,295,413 3,309,912 175,543 135,313 172,105 142,424 5.3 4.1 5.2 4.3

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 176,502 178,469 177,703 179,677 7,852 6,054 7,625 6,503 4.4 3.4 4.3 3.6

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114,271 113,380 114,770 114,413 5,308 3,650 5,073 3,922 4.6 3.2 4.4 3.4

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 98,273 96,846 98,197 97,468 6,054 3,914 5,878 4,077 6.2 4.0 6.0 4.2

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,588 158,947 159,184 159,604 5,300 4,050 5,054 4,371 3.3 2.5 3.2 2.7

McAllen-Edinburg-Mission. . . . . . . . . . . . . 332,682 332,834 335,661 337,320 23,651 18,781 25,365 21,017 7.1 5.6 7.6 6.2

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,381 86,307 86,732 87,314 3,699 2,083 3,496 2,233 4.3 2.4 4.0 2.6

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,265 74,348 74,864 74,777 4,692 2,382 4,398 2,514 6.2 3.2 5.9 3.4

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 54,509 53,958 54,665 54,141 2,432 1,574 2,323 1,677 4.5 2.9 4.2 3.1

San Antonio-New Braunfels. . . . . . . . . . . . 1,141,535 1,159,351 1,145,061 1,168,792 43,389 33,083 41,854 35,550 3.8 2.9 3.7 3.0

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 60,929 60,843 61,353 61,393 2,304 1,739 2,241 1,882 3.8 2.9 3.7 3.1

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 65,156 64,720 65,003 65,075 2,964 2,478 2,881 2,609 4.5 3.8 4.4 4.0

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,830 107,158 106,772 107,173 4,859 4,163 4,645 3,714 4.5 3.9 4.4 3.5

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,266 46,570 47,327 46,851 2,609 1,847 2,545 1,914 5.5 4.0 5.4 4.1

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122,355 120,465 122,809 120,747 4,946 4,020 4,745 4,247 4.0 3.3 3.9 3.5

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 63,522 62,883 63,408 63,272 2,729 1,882 2,632 2,082 4.3 3.0 4.2 3.3

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,527,871 1,572,224 1,526,692 1,574,943 47,409 45,609 40,660 42,621 3.1 2.9 2.7 2.7

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68,947 71,264 68,609 70,679 1,845 1,674 1,631 1,584 2.7 2.3 2.4 2.2

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 318,248 326,450 317,656 326,223 10,147 10,287 8,602 9,477 3.2 3.2 2.7 2.9

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 289,379 299,983 289,808 301,168 8,098 7,766 6,731 7,109 2.8 2.6 2.3 2.4

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,017 72,483 68,712 72,378 2,287 2,167 1,943 2,057 3.3 3.0 2.8 2.8

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 644,392 659,287 646,104 664,087 18,862 18,396 16,099 17,190 2.9 2.8 2.5 2.6

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 344,510 343,620 344,383 344,876 8,720 7,947 10,072 9,148 2.5 2.3 2.9 2.7

Burlington-South Burlington. . . . . . . . . . . . 125,010 125,635 124,690 125,792 2,700 2,436 2,978 2,734 2.2 1.9 2.4 2.2

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,258,096 4,291,931 4,249,068 4,270,565 170,163 150,667 159,490 155,171 4.0 3.5 3.8 3.6

Blacksburg-Christiansburg-Radford. . . . . 92,350 93,626 91,396 92,461 4,109 3,350 3,733 3,513 4.4 3.6 4.1 3.8

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 116,523 118,300 117,881 119,223 4,180 3,619 3,812 3,824 3.6 3.1 3.2 3.2

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,558 66,845 65,490 66,575 2,591 2,206 2,261 2,357 4.0 3.3 3.5 3.5

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,743 122,124 121,877 121,970 5,438 4,911 5,088 5,091 4.5 4.0 4.2 4.2

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 667,386 680,716 665,307 674,611 27,238 25,015 25,892 25,831 4.1 3.7 3.9 3.8

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 158,039 160,424 157,627 159,324 6,261 5,612 5,885 5,723 4.0 3.5 3.7 3.6

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,223 60,052 59,284 59,864 2,320 2,056 2,134 2,033 3.9 3.4 3.6 3.4

Virginia Beach-Norfolk-Newport News. . . 836,247 829,304 829,437 823,003 37,417 33,073 35,666 34,071 4.5 4.0 4.3 4.1

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,479 70,827 69,335 70,564 2,512 2,135 2,297 2,255 3.6 3.0 3.3 3.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,681,300 3,760,589 3,671,129 3,755,995 184,152 157,929 188,004 167,580 5.0 4.2 5.1 4.5

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 108,774 112,969 108,913 113,407 6,130 4,678 5,984 4,898 5.6 4.1 5.5 4.3

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 118,126 121,614 119,444 121,692 6,676 5,303 6,539 5,452 5.7 4.4 5.5 4.5

Kennewick-Richland. . . . . . . . . . . . . . . . . . 134,693 138,416 133,786 136,466 8,096 6,319 8,816 7,029 6.0 4.6 6.6 5.2

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,010 46,184 45,468 46,660 3,218 2,368 3,144 2,538 7.1 5.1 6.9 5.4

Mount Vernon-Anacortes. . . . . . . . . . . . . . 58,765 60,904 58,462 60,408 3,699 2,740 3,764 2,900 6.3 4.5 6.4 4.8

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 132,621 137,326 133,491 138,426 7,316 5,940 7,178 6,048 5.5 4.3 5.4 4.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,039,888 2,069,556 2,041,005 2,079,823 86,905 82,066 87,719 86,081 4.3 4.0 4.3 4.1

Spokane-Spokane Valley. . . . . . . . . . . . . . 259,651 268,317 262,724 270,060 15,124 12,085 15,045 12,822 5.8 4.5 5.7 4.7

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 31,977 33,187 31,817 32,803 1,537 1,329 1,614 1,388 4.8 4.0 5.1 4.2

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 67,317 67,863 62,762 64,091 3,341 2,516 3,705 2,972 5.0 3.7 5.9 4.6

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,553 132,140 123,177 123,865 8,094 6,080 9,968 7,163 6.2 4.6 8.1 5.8

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 788,123 781,720 779,129 777,192 41,772 33,085 38,750 38,739 5.3 4.2 5.0 5.0

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,614 44,282 44,946 43,757 2,869 2,106 2,752 2,599 6.3 4.8 6.1 5.9

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 96,691 96,332 95,790 96,226 5,225 4,231 4,790 4,926 5.4 4.4 5.0 5.1

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 147,627 146,746 145,967 146,465 8,177 6,988 7,612 7,469 5.5 4.8 5.2 5.1

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 67,655 68,274 66,673 67,757 2,714 2,247 2,357 2,517 4.0 3.3 3.5 3.7

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 39,055 38,159 38,804 38,038 2,049 1,721 1,939 2,001 5.2 4.5 5.0 5.3

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 65,012 64,524 64,704 64,248 3,831 3,099 3,659 3,251 5.9 4.8 5.7 5.1

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,127,427 3,165,425 3,116,760 3,172,610 114,870 89,083 113,945 85,694 3.7 2.8 3.7 2.7

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131,989 135,212 132,044 135,687 4,175 3,686 4,131 3,412 3.2 2.7 3.1 2.5

See footnotes at end of table.
LABOR FORCE DATA

NOT SEASONALLY ADJUSTED

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

State and area

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 92,575 92,078 92,495 92,386 2,976 2,391 2,949 2,284 3.2 2.6 3.2 2.5

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,804 58,063 57,709 58,638 1,757 1,398 1,724 1,324 3.0 2.4 3.0 2.3

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 173,596 173,763 171,356 173,480 5,903 4,611 5,822 4,453 3.4 2.7 3.4 2.6

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 84,175 86,539 84,489 86,756 3,496 2,655 3,392 2,543 4.2 3.1 4.0 2.9

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 78,786 80,269 79,490 80,657 2,569 1,928 2,518 1,841 3.3 2.4 3.2 2.3

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386,814 395,011 386,158 397,615 11,048 8,710 10,670 8,212 2.9 2.2 2.8 2.1

Milwaukee-Waukesha-West Allis. . . . . . . 828,316 831,616 824,951 833,190 34,437 26,525 33,467 24,941 4.2 3.2 4.1 3.0

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,294 94,176 93,166 94,024 3,138 2,506 3,114 2,372 3.4 2.7 3.3 2.5

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99,070 99,698 98,657 99,707 4,498 3,474 4,400 3,334 4.5 3.5 4.5 3.3

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,291 62,272 62,289 62,169 2,041 1,596 2,023 1,479 3.3 2.6 3.2 2.4

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,388 75,161 74,550 75,980 2,392 1,879 2,370 1,829 3.2 2.5 3.2 2.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 300,979 292,305 300,414 291,505 13,436 11,103 13,967 12,172 4.5 3.8 4.6 4.2

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,429 38,779 40,387 38,748 2,501 1,857 2,512 1,977 6.2 4.8 6.2 5.1

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,817 47,838 49,402 48,061 1,752 1,711 1,735 1,735 3.6 3.6 3.5 3.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,102,730 1,061,157 1,111,068 1,114,967 137,831 121,137 121,705 115,427 12.5 11.4 11.0 10.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 88,752 85,256 89,461 89,959 14,435 13,425 13,413 13,282 16.3 15.7 15.0 14.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,263 49,125 52,752 52,028 7,660 6,410 7,143 6,593 14.7 13.0 13.5 12.7

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 21,865 21,014 21,958 22,290 4,051 3,658 3,674 3,965 18.5 17.4 16.7 17.8

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 28,591 28,428 28,809 29,107 4,140 4,188 3,664 3,474 14.5 14.7 12.7 11.9

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,088 92,168 96,393 95,594 15,313 13,257 13,648 12,119 15.9 14.4 14.2 12.7

San German. . . . . . . . . . . . . . . . . . . . . . . . . 36,866 37,250 37,161 37,305 5,690 6,692 5,220 4,882 15.4 18.0 14.0 13.1

San Juan-Carolina-Caguas. . . . . . . . . . . . 731,884 703,536 738,309 741,586 78,254 65,990 67,653 63,817 10.7 9.4 9.2 8.6

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

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

p Preliminary

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

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

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

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

NOT SEASONALLY ADJUSTED

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

division1

State, area, and division

Civilian labor force Unemployed

October November Number Percent of labor force

2016 2017 2016 2017p

October November October November

2016 2017 2016 2017p 2016 2017 2016 2017p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,201,496 19,357,850 19,157,621 19,344,423 1,007,701 838,586 963,869 775,534 5.2 4.3 5.0 4.0

Los Angeles-Long Beach-Anaheim. . . 6,680,714 6,773,603 6,673,583 6,762,774 324,880 278,061 303,397 258,310 4.9 4.1 4.5 3.8

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,608,745 1,607,882 1,605,968 1,609,979 64,979 52,444 59,578 45,727 4.0 3.3 3.7 2.8

Los Angeles-Long

Beach-Glendale. . . . . . . . . . . . . . . . 5,071,969 5,165,721 5,067,615 5,152,795 259,901 225,617 243,819 212,583 5.1 4.4 4.8 4.1

San Francisco-Oakland-Hayward. . . . . 2,566,170 2,574,261 2,555,634 2,581,796 97,060 78,347 90,096 68,166 3.8 3.0 3.5 2.6

Oakland-Hayward-Berkeley. . . . . . . . 1,405,923 1,407,245 1,399,993 1,410,134 60,150 48,214 55,845 42,190 4.3 3.4 4.0 3.0

San Francisco-Redwood City-South

San Francisco. . . . . . . . . . . . . . . . . 1,017,985 1,023,465 1,014,408 1,028,085 32,238 26,437 29,942 22,771 3.2 2.6 3.0 2.2

San Rafael. . . . . . . . . . . . . . . . . . . . . . 142,262 143,551 141,233 143,577 4,672 3,696 4,309 3,205 3.3 2.6 3.1 2.2

District of Columbia. . . . . . . . . . . . . . . . . . . 394,704 401,159 394,454 401,691 23,389 27,462 22,343 23,190 5.9 6.8 5.7 5.8

Washington-Arlington-Alexandria2. . . . 3,337,197 3,391,066 3,333,272 3,380,530 128,641 123,251 119,213 122,612 3.9 3.6 3.6 3.6

Silver Spring-Frederick-Rockville3.. . 685,982 701,158 683,827 699,156 23,471 22,222 21,514 23,230 3.4 3.2 3.1 3.3

Washington-Arlington-Alexandria2.. . 2,651,215 2,689,908 2,649,445 2,681,374 105,170 101,029 97,699 99,382 4.0 3.8 3.7 3.7

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,932,052 10,096,651 9,927,342 10,080,228 490,603 361,634 473,563 386,197 4.9 3.6 4.8 3.8

Miami-Fort Lauderdale-West Palm

Beach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,085,377 3,143,798 3,096,237 3,140,839 157,254 123,322 148,763 127,804 5.1 3.9 4.8 4.1

Fort Lauderdale-Pompano

Beach-Deerfield Beach. . . . . . . . . 1,011,612 1,036,020 1,012,185 1,031,922 47,066 34,070 46,087 36,804 4.7 3.3 4.6 3.6

Miami-Miami Beach-Kendall. . . . . . . 1,357,687 1,384,154 1,360,607 1,385,846 74,553 63,353 68,334 63,461 5.5 4.6 5.0 4.6

West Palm Beach-Boca

Raton-Delray Beach. . . . . . . . . . . . 716,078 723,624 723,445 723,071 35,635 25,899 34,342 27,539 5.0 3.6 4.7 3.8

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,520,067 6,434,065 6,493,487 6,467,818 363,282 301,844 340,691 302,474 5.6 4.7 5.2 4.7

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,909,472 4,861,585 4,881,550 4,882,913 272,019 230,465 252,176 228,255 5.5 4.7 5.2 4.7

Chicago-Naperville-Arlington

Heights. . . . . . . . . . . . . . . . . . . . . . . 3,783,546 3,754,154 3,761,186 3,776,395 216,835 183,860 198,080 181,611 5.7 4.9 5.3 4.8

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 324,341 317,803 324,504 320,066 16,059 13,389 15,910 13,966 5.0 4.2 4.9 4.4

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 342,883 333,520 340,018 328,726 17,649 15,574 17,024 14,676 5.1 4.7 5.0 4.5

Lake County-Kenosha County2. . . . 458,702 456,108 455,842 457,726 21,476 17,642 21,162 18,002 4.7 3.9 4.6 3.9

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,576,746 3,624,102 3,583,688 3,624,361 101,927 119,447 98,720 118,960 2.8 3.3 2.8 3.3

Boston-Cambridge-Nashua2. . . . . . . . . 2,643,751 2,680,849 2,654,514 2,683,488 70,763 81,960 68,243 80,569 2.7 3.1 2.6 3.0

Boston-Cambridge-Newton. . . . . . . . 1,568,339 1,596,241 1,574,793 1,597,515 39,396 46,653 37,614 45,660 2.5 2.9 2.4 2.9

Brockton-Bridgewater-Easton. . . . . . 104,833 106,014 105,596 106,445 3,352 3,938 3,202 3,842 3.2 3.7 3.0 3.6

Framingham. . . . . . . . . . . . . . . . . . . . . 154,226 155,269 154,810 155,392 3,685 4,379 3,486 4,310 2.4 2.8 2.3 2.8

Haverhill-Newburyport-Amesbury

Town2. . . . . . . . . . . . . . . . . . . . . . . . 113,270 114,079 113,148 113,795 3,140 3,386 3,159 3,395 2.8 3.0 2.8 3.0

Lawrence-Methuen Town-Salem2.. . 94,842 95,533 95,134 95,545 3,748 4,233 3,657 4,172 4.0 4.4 3.8 4.4

Lowell-Billerica-Chelmsford2. . . . . . . 184,250 186,244 184,908 186,312 5,448 6,222 5,258 6,109 3.0 3.3 2.8 3.3

Lynn-Saugus-Marblehead. . . . . . . . . 82,658 83,622 83,099 83,659 2,478 2,712 2,357 2,701 3.0 3.2 2.8 3.2

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 169,859 170,569 170,682 171,392 4,583 4,630 4,794 4,694 2.7 2.7 2.8 2.7

Peabody-Salem-Beverly. . . . . . . . . . . 89,891 91,121 90,412 91,133 2,398 2,864 2,276 2,810 2.7 3.1 2.5 3.1

Taunton-Middleborough-Norton. . . . 81,583 82,157 81,932 82,300 2,535 2,943 2,440 2,876 3.1 3.6 3.0 3.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,868,988 4,862,005 4,845,978 4,869,727 234,794 206,364 203,410 192,643 4.8 4.2 4.2 4.0

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,088,594 2,097,497 2,067,175 2,095,142 118,523 89,144 97,931 77,678 5.7 4.3 4.7 3.7

Detroit-Dearborn-Livonia. . . . . . . . . . 783,010 784,403 772,640 781,099 54,697 40,958 43,702 35,094 7.0 5.2 5.7 4.5

Warren-Troy-Farmington Hills. . . . . . 1,305,584 1,313,093 1,294,535 1,314,043 63,825 48,185 54,229 42,585 4.9 3.7 4.2 3.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,548,033 9,711,454 9,496,305 9,644,829 455,099 448,961 428,310 431,628 4.8 4.6 4.5 4.5

New York-Newark-Jersey City2. . . . . . 9,972,256 10,096,595 9,929,152 10,029,312 468,892 466,283 426,470 434,701 4.7 4.6 4.3 4.3

Dutchess County-Putnam County.. . 192,664 195,554 190,351 194,687 7,779 8,068 7,450 8,426 4.0 4.1 3.9 4.3

Nassau County-Suffolk County. . . . . 1,467,139 1,482,453 1,463,798 1,472,110 59,667 61,158 57,583 65,121 4.1 4.1 3.9 4.4

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,238,599 1,224,664 1,231,893 1,218,218 56,954 58,463 50,630 58,683 4.6 4.8 4.1 4.8

New York-Jersey City-White

Plains2. . . . . . . . . . . . . . . . . . . . . . . . 7,073,854 7,193,924 7,043,110 7,144,297 344,492 338,594 310,807 302,471 4.9 4.7 4.4 4.2

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,461,574 6,372,892 6,439,865 6,379,536 339,080 265,311 312,670 273,749 5.2 4.2 4.9 4.3

Philadelphia-Camden-Wilmington2. . . . 3,098,302 3,089,724 3,102,050 3,093,418 153,868 135,744 139,731 136,417 5.0 4.4 4.5 4.4

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 639,151 640,563 640,670 643,305 29,207 30,681 26,567 31,382 4.6 4.8 4.1 4.9

Montgomery County-Bucks

County-Chester County. . . . . . . . . 1,071,122 1,066,506 1,071,116 1,064,419 45,430 36,252 41,058 36,798 4.2 3.4 3.8 3.5

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,011,707 1,001,571 1,012,361 1,003,640 62,871 51,918 57,238 52,125 6.2 5.2 5.7 5.2

Wilmington3. . . . . . . . . . . . . . . . . . . . . 376,322 381,084 377,903 382,054 16,360 16,893 14,868 16,112 4.3 4.4 3.9 4.2

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,338,725 13,392,522 13,371,089 13,501,846 612,866 469,673 599,870 499,270 4.6 3.5 4.5 3.7

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,720,265 3,773,278 3,738,873 3,811,477 142,480 112,925 138,210 120,362 3.8 3.0 3.7 3.2

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,508,786 2,546,365 2,523,090 2,574,753 94,466 76,068 91,620 80,981 3.8 3.0 3.6 3.1

Fort Worth-Arlington. . . . . . . . . . . . . . 1,211,479 1,226,913 1,215,783 1,236,724 48,014 36,857 46,590 39,381 4.0 3.0 3.8 3.2

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,681,300 3,760,589 3,671,129 3,755,995 184,152 157,929 188,004 167,580 5.0 4.2 5.1 4.5

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,039,888 2,069,556 2,041,005 2,079,823 86,905 82,066 87,719 86,081 4.3 4.0 4.3 4.1

Seattle-Bellevue-Everett. . . . . . . . . . . 1,631,040 1,642,460 1,627,247 1,649,879 62,494 62,290 63,900 65,752 3.8 3.8 3.9 4.0

Tacoma-Lakewood. . . . . . . . . . . . . . . 408,848 427,096 413,758 429,944 24,411 19,776 23,819 20,329 6.0 4.6 5.8 4.7

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

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

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

p Preliminary

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

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

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

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

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

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,991.8 2,023.1 1,999.3 2,029.8 30.5 1.5

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.0 46.5 46.2 46.9 0.7 1.5

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.7 67.0 64.3 67.3 3.0 4.7

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522.5 526.2 525.9 527.3 1.4 0.3

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.4 75.9 72.1 75.8 3.7 5.1

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 54.4 53.6 54.9 1.3 2.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.1 58.0 58.2 0.2 0.3

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 57.8 57.9 57.9 0.0 0.0

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 39.2 38.7 39.3 0.6 1.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228.8 233.5 230.2 236.4 6.2 2.7

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.4 179.7 180.7 180.0 -0.7 -0.4

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.0 174.9 174.4 174.6 0.2 0.1

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.5 109.1 106.9 109.1 2.2 2.1

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 324.6 324.3 317.3 316.0 -1.3 -0.4

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.2 177.3 174.8 174.2 -0.6 -0.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 37.4 36.7 36.6 -0.1 -0.3

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,750.5 2,782.0 2,767.5 2,811.5 44.0 1.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.8 68.5 67.8 67.8 0.0 0.0

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.4 49.2 49.6 0.4 0.8

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,008.5 2,042.6 2,023.4 2,068.6 45.2 2.2

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.5 63.3 63.3 63.6 0.3 0.5

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.3 35.0 34.7 35.0 0.3 0.9

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 380.3 376.5 381.3 378.7 -2.6 -0.7

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.0 55.0 55.5 56.1 0.6 1.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,243.3 1,264.8 1,242.0 1,263.0 21.0 1.7

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 250.5 257.9 251.9 258.3 6.4 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.9 114.1 114.4 114.5 0.1 0.1

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.4 37.9 37.3 37.7 0.4 1.1

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 57.4 56.8 57.7 0.9 1.6

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.6 357.7 355.8 357.7 1.9 0.5

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.9 33.3 33.8 33.3 -0.5 -1.5

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,686.5 16,958.4 16,780.7 17,067.5 286.8 1.7

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 256.9 262.0 259.6 263.3 3.7 1.4

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.4 83.8 82.4 83.4 1.0 1.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 52.6 53.0 53.8 0.8 1.5

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341.1 348.3 342.9 348.6 5.7 1.7

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.1 39.7 39.0 39.7 0.7 1.8

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,040.3 6,096.2 6,074.9 6,125.6 50.7 0.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 38.9 37.6 38.8 1.2 3.2

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.0 67.8 66.5 67.4 0.9 1.4

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.1 178.3 174.6 178.4 3.8 2.2

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.2 75.3 72.7 74.1 1.4 1.9

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.9 311.0 306.6 313.3 6.7 2.2

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 69.2 66.9 68.9 2.0 3.0

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,418.0 1,465.5 1,442.5 1,489.3 46.8 3.2

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 956.8 978.0 965.4 983.6 18.2 1.9

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.3 140.5 139.8 141.5 1.7 1.2

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,440.8 1,456.9 1,448.2 1,469.0 20.8 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,380.0 2,407.2 2,385.2 2,425.4 40.2 1.7

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,082.6 1,101.4 1,090.9 1,110.9 20.0 1.8

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 115.7 116.6 116.7 117.8 1.1 0.9

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.4 103.4 102.3 103.1 0.8 0.8

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.9 186.9 183.8 187.6 3.8 2.1

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204.6 205.8 202.9 205.5 2.6 1.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230.5 232.2 230.1 232.8 2.7 1.2

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.8 139.6 138.4 140.1 1.7 1.2

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.6 127.6 126.1 128.3 2.2 1.7

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 43.8 43.5 43.8 0.3 0.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,628.2 2,668.9 2,623.2 2,674.2 51.0 1.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187.9 193.2 188.9 193.5 4.6 2.4

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283.5 287.0 283.8 287.1 3.3 1.2

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,452.6 1,468.7 1,449.4 1,472.7 23.3 1.6

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.0 169.8 164.6 169.1 4.5 2.7

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 61.9 62.1 61.9 -0.2 -0.3

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 105.2 101.0 104.9 3.9 3.9

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.9 62.6 62.9 0.3 0.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,691.1 1,692.6 1,698.0 1,699.2 1.2 0.1

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409.9 412.9 411.4 414.0 2.6 0.6

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.2 79.7 80.0 80.4 0.4 0.5

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 576.9 575.6 577.2 577.2 0.0 0.0

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.7 287.7 287.1 288.8 1.7 0.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.8 129.6 130.0 128.6 -1.4 -1.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 67.4 67.8 68.0 0.2 0.3

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 455.1 456.7 457.6 458.3 0.7 0.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 69.7 69.8 70.1 0.3 0.4

Salisbury1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.7 157.6 152.5 155.0 2.5 1.6

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 790.1 798.1 791.6 798.2 6.6 0.8

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,260.0 3,307.3 3,267.8 3,316.7 48.9 1.5

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,466.5 8,672.7 8,553.2 8,759.1 205.9 2.4

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.4 256.8 262.3 262.0 -0.3 -0.1

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.6 113.7 111.2 113.5 2.3 2.1

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199.4 203.0 200.2 204.1 3.9 1.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.0 146.3 143.5 146.3 2.8 2.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.4 33.0 33.5 33.4 -0.1 -0.3

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673.7 689.7 678.9 697.7 18.8 2.8

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.5 222.2 219.4 226.5 7.1 3.2

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,606.2 2,667.5 2,643.4 2,695.4 52.0 2.0

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.8 145.1 144.3 148.3 4.0 2.8

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 297.8 308.7 300.6 312.8 12.2 4.1

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.9 104.1 103.6 104.9 1.3 1.3

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,219.7 1,256.6 1,233.2 1,272.0 38.8 3.1

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212.1 215.8 213.5 216.9 3.4 1.6

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.6 85.5 83.2 84.5 1.3 1.6

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.6 177.5 175.2 177.9 2.7 1.5

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.0 146.5 146.4 147.9 1.5 1.0

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.8 49.3 48.6 50.4 1.8 3.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.4 51.8 52.0 53.1 1.1 2.1

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.7 27.3 26.9 27.6 0.7 2.6

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 183.6 183.2 184.6 1.4 0.8

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,313.1 1,342.7 1,324.9 1,355.5 30.6 2.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.5 28.5 27.8 28.7 0.9 3.2

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,439.0 4,527.3 4,468.5 4,549.5 81.0 1.8

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 63.0 63.5 63.3 -0.2 -0.3

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94.8 99.1 95.6 100.2 4.6 4.8

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,708.2 2,772.0 2,729.1 2,785.1 56.0 2.1

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235.2 241.9 238.0 244.0 6.0 2.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 44.1 44.0 44.2 0.2 0.5

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.0 121.9 121.9 122.9 1.0 0.8

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.7 70.3 70.1 70.5 0.4 0.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.3 90.3 88.8 90.8 2.0 2.3

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.2 20.5 20.4 20.6 0.2 1.0

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.4 103.3 104.3 104.1 -0.2 -0.2

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.2 41.3 41.4 41.7 0.3 0.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.2 181.7 178.6 181.2 2.6 1.5

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.9 57.3 57.2 57.7 0.5 0.9

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.3 74.4 73.6 74.8 1.2 1.6

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653.2 660.2 657.9 664.6 6.7 1.0

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.5 76.2 75.1 76.4 1.3 1.7

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481.6 486.1 484.4 490.4 6.0 1.2

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709.6 727.3 708.9 725.9 17.0 2.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311.2 322.4 313.2 323.0 9.8 3.1

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.5 63.5 61.8 62.3 0.5 0.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.6 65.6 64.5 65.5 1.0 1.6

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.2 29.6 29.1 29.6 0.5 1.7

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 37.3 36.5 37.3 0.8 2.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,089.2 6,113.5 6,087.7 6,116.2 28.5 0.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.0 95.8 95.0 95.5 0.5 0.5

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.0 59.3 58.8 59.4 0.6 1.0

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.5 111.8 111.9 111.2 -0.7 -0.6

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,710.1 4,733.8 4,705.6 4,731.5 25.9 0.6

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.6 28.3 28.8 28.3 -0.5 -1.7

Davenport-Moline-Rock Island1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.1 184.8 184.2 187.2 3.0 1.6

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.7 51.5 51.9 51.6 -0.3 -0.6

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 46.2 45.7 46.9 1.2 2.6

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.8 177.5 176.0 176.9 0.9 0.5

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.5 152.1 152.2 152.3 0.1 0.1

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.6 115.9 117.1 116.7 -0.4 -0.3

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,134.2 3,167.2 3,144.8 3,167.9 23.1 0.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.9 79.2 80.1 0.9 1.1

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 54.8 52.9 55.1 2.2 4.2

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133.1 140.1 133.2 140.2 7.0 5.3

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.3 163.5 160.7 163.7 3.0 1.9

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.1 224.1 222.2 223.9 1.7 0.8

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,057.4 1,081.3 1,065.9 1,083.9 18.0 1.7

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 43.1 42.6 43.6 1.0 2.3

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.3 109.0 106.8 109.5 2.7 2.5

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 40.6 42.0 40.5 -1.5 -3.6

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.5 53.0 52.6 52.9 0.3 0.6

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.8 144.0 145.1 144.0 -1.1 -0.8

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.3 73.3 72.5 73.1 0.6 0.8

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,590.6 1,602.7 1,588.2 1,609.4 21.2 1.3

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.9 56.2 55.1 56.3 1.2 2.2

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144.7 146.2 145.0 147.0 2.0 1.4

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.4 370.8 363.4 372.7 9.3 2.6

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.4 60.8 60.6 -0.2 -0.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.1 105.2 103.3 106.0 2.7 2.6

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 88.3 88.3 88.5 88.6 0.1 0.1

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.6 92.0 92.4 92.3 -0.1 -0.1

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,428.2 1,424.4 1,424.9 1,429.0 4.1 0.3

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 55.8 56.2 55.9 -0.3 -0.5

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.4 45.5 46.3 45.3 -1.0 -2.2

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114.2 114.4 114.0 115.3 1.3 1.1

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 298.8 303.4 299.9 302.8 2.9 1.0

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,928.4 1,956.7 1,947.4 1,970.7 23.3 1.2

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.6 77.6 77.0 78.8 1.8 2.3

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.1 57.9 57.7 58.3 0.6 1.0

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.6 284.2 283.4 283.9 0.5 0.2

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661.7 678.5 671.5 685.5 14.0 2.1

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 53.7 53.6 53.9 0.3 0.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,982.8 1,992.3 1,982.4 1,997.2 14.8 0.7

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 62.8 63.5 62.9 -0.6 -0.9

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409.4 413.9 407.7 415.4 7.7 1.9

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.9 45.4 46.0 0.6 1.3

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.6 85.9 87.2 86.1 -1.1 -1.3

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200.1 199.6 199.8 200.4 0.6 0.3

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.0 116.9 112.3 117.3 5.0 4.5

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 80.4 79.8 80.5 0.7 0.9

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 578.4 576.9 579.7 577.5 -2.2 -0.4

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.7 178.2 180.9 178.6 -2.3 -1.3

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625.7 628.9 620.6 623.1 2.5 0.4

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 67.7 67.6 67.2 -0.4 -0.6

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.8 52.8 52.1 52.6 0.5 1.0

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.8 207.9 202.9 206.5 3.6 1.8

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,732.7 2,788.3 2,737.9 2,795.3 57.4 2.1

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,408.6 1,421.6 1,411.1 1,428.7 17.6 1.2

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.7 45.3 45.7 0.4 0.9

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.5 39.9 39.4 -0.5 -1.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.7 107.7 110.2 109.7 -0.5 -0.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,608.3 3,675.5 3,608.7 3,675.2 66.5 1.8

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.3 110.4 102.9 106.3 3.4 3.3

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,735.1 2,796.8 2,739.5 2,799.8 60.3 2.2

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.7 52.3 52.7 0.4 0.8

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 70.7 68.4 71.1 2.7 3.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.9 42.5 41.9 42.4 0.5 1.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 339.2 345.3 338.9 346.9 8.0 2.4

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287.2 290.2 287.7 291.4 3.7 1.3

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,408.7 4,449.3 4,409.4 4,456.6 47.2 1.1

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 222.1 227.7 222.7 227.8 5.1 2.3

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.8 60.2 60.0 60.3 0.3 0.5

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.7 36.4 36.7 36.3 -0.4 -1.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,000.1 2,029.6 2,003.5 2,037.5 34.0 1.7

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.3 142.4 142.5 141.7 -0.8 -0.6

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553.5 564.6 554.4 568.1 13.7 2.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.4 58.9 58.3 59.1 0.8 1.4

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.8 152.8 149.4 152.7 3.3 2.2

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.3 238.2 238.5 239.5 1.0 0.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.9 37.7 37.8 37.7 -0.1 -0.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 43.7 42.9 43.6 0.7 1.6

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.3 64.1 63.0 64.2 1.2 1.9

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 63.3 62.0 63.2 1.2 1.9

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.3 91.4 90.2 91.9 1.7 1.9

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,934.1 2,978.1 2,932.1 2,966.6 34.5 1.2

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137.1 139.5 137.1 139.4 2.3 1.7

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 60.0 58.5 59.6 1.1 1.9

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,984.2 2,031.9 1,984.3 2,025.9 41.6 2.1

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.4 120.3 119.4 119.7 0.3 0.3

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.6 111.5 109.3 111.3 2.0 1.8

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,153.0 1,161.6 1,153.3 1,166.7 13.4 1.2

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.0 155.8 155.2 156.7 1.5 1.0

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 65.7 65.0 66.3 1.3 2.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281.2 282.4 280.8 283.1 2.3 0.8

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,883.7 2,915.2 2,887.6 2,917.4 29.8 1.0

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.4 42.0 44.8 42.3 -2.5 -5.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.2 103.5 101.6 103.6 2.0 2.0

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.0 77.8 77.9 77.6 -0.3 -0.4

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.9 83.0 81.4 83.6 2.2 2.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,083.3 1,093.3 1,081.8 1,094.8 13.0 1.2

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.4 63.6 64.4 63.7 -0.7 -1.1

St. Louis2

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,379.7 1,394.2 1,384.1 1,395.4 11.3 0.8

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213.3 217.3 213.3 218.8 5.5 2.6

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473.8 480.4 470.9 475.3 4.4 0.9

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Montana - Continued

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.0 87.2 85.6 86.7 1.1 1.3

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.3 36.2 36.2 36.2 0.0 0.0

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.6 62.5 61.2 62.2 1.0 1.6

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,025.5 1,036.8 1,030.6 1,038.7 8.1 0.8

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 42.7 42.8 42.5 -0.3 -0.7

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.2 193.6 192.1 194.3 2.2 1.1

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502.5 512.2 505.2 514.1 8.9 1.8

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,323.3 1,360.3 1,327.6 1,363.1 35.5 2.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.9 29.5 28.8 29.5 0.7 2.4

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 964.8 989.4 967.8 993.0 25.2 2.6

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 227.0 230.1 228.1 229.9 1.8 0.8

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 678.7 685.9 677.8 685.4 7.6 1.1

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.7 56.1 56.0 55.9 -0.1 -0.2

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.5 112.7 111.9 113.7 1.8 1.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.5 92.1 91.7 92.2 0.5 0.5

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,112.8 4,147.2 4,132.3 4,164.3 32.0 0.8

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.5 133.9 130.6 133.2 2.6 2.0

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.8 42.4 37.4 39.3 1.9 5.1

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268.5 269.4 272.6 270.8 -1.8 -0.7

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.8 61.3 60.0 61.9 1.9 3.2

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 835.4 848.8 841.9 851.5 9.6 1.1

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.2 395.8 393.1 396.1 3.0 0.8

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 48.9 48.8 48.8 0.0 0.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.0 73.8 74.1 73.8 -0.3 -0.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 64.1 64.2 64.1 -0.1 -0.2

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,512.7 9,619.8 9,542.9 9,656.0 113.1 1.2

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 470.5 472.3 472.4 475.5 3.1 0.7

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.6 105.8 106.4 106.2 -0.2 -0.2

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 572.1 570.2 570.7 571.3 0.6 0.1

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.6 37.0 38.0 37.2 -0.8 -2.1

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.5 57.1 55.6 56.1 0.5 0.9

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.0 67.7 66.0 67.5 1.5 2.3

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 63.8 63.0 63.5 0.5 0.8

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,628.1 9,720.7 9,678.4 9,767.7 89.3 0.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 539.1 537.1 540.1 537.1 -3.0 -0.6

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321.3 323.4 321.2 325.3 4.1 1.3

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.2 129.2 127.7 128.8 1.1 0.9

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.8 43.3 42.5 43.1 0.6 1.4

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,393.0 4,472.4 4,414.1 4,487.7 73.6 1.7

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191.0 192.7 190.8 192.8 2.0 1.0

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.1 63.0 62.0 63.2 1.2 1.9

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,170.6 1,193.1 1,175.5 1,195.6 20.1 1.7

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305.5 316.0 307.8 316.5 8.7 2.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.3 132.5 131.2 133.0 1.8 1.4

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.6 41.7 41.6 -0.1 -0.2

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 362.0 363.7 363.9 365.7 1.8 0.5

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.1 79.1 79.8 79.4 -0.4 -0.5

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.0 152.6 152.1 153.4 1.3 0.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.9 49.9 49.4 50.1 0.7 1.4

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.9 45.2 45.1 45.5 0.4 0.9

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609.7 629.7 613.9 633.5 19.6 3.2

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.3 57.7 58.8 58.1 -0.7 -1.2

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.5 128.2 124.4 128.4 4.0 3.2

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.1 264.5 262.9 265.0 2.1 0.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442.8 446.0 440.1 441.2 1.1 0.2

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 74.2 74.4 73.8 -0.6 -0.8

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.7 146.6 144.0 146.1 2.1 1.5

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

North Dakota - Continued

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.7 58.3 59.8 58.2 -1.6 -2.7

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,539.2 5,593.7 5,542.4 5,586.9 44.5 0.8

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345.5 343.8 346.4 343.6 -2.8 -0.8

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173.0 173.1 172.8 173.4 0.6 0.3

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,092.8 1,111.1 1,092.6 1,112.8 20.2 1.8

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,061.3 1,071.8 1,061.3 1,065.6 4.3 0.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,078.9 1,096.4 1,088.0 1,097.0 9.0 0.8

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386.8 393.7 388.0 397.5 9.5 2.4

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.0 53.4 53.3 53.5 0.2 0.4

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.1 53.1 53.1 52.9 -0.2 -0.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.1 50.5 50.0 50.4 0.4 0.8

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.3 314.9 316.0 316.5 0.5 0.2

Weirton-Steubenville1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 41.9 41.7 41.5 -0.2 -0.5

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225.9 223.8 226.9 225.3 -1.6 -0.7

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,662.5 1,682.5 1,662.0 1,685.2 23.2 1.4

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.9 28.7 28.0 28.7 0.7 2.5

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.1 46.3 46.2 -0.1 -0.2

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633.5 643.7 632.8 642.7 9.9 1.6

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 448.4 452.4 448.8 456.0 7.2 1.6

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,860.5 1,903.5 1,863.3 1,901.1 37.8 2.0

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.3 45.6 44.3 45.4 1.1 2.5

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.9 82.0 79.4 82.0 2.6 3.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.4 43.0 42.6 43.1 0.5 1.2

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.5 163.2 160.0 163.6 3.6 2.3

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.2 26.5 25.9 26.1 0.2 0.8

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.2 88.6 87.1 88.6 1.5 1.7

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,159.6 1,183.4 1,163.6 1,185.0 21.4 1.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165.0 166.4 164.4 166.6 2.2 1.3

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,963.1 6,028.9 5,972.8 6,043.0 70.2 1.2

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 366.9 367.0 364.7 366.5 1.8 0.5

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 60.1 61.2 60.7 -0.5 -0.8

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.0 43.4 42.9 43.2 0.3 0.7

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 60.8 60.4 61.3 0.9 1.5

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 57.6 57.7 57.9 0.2 0.3

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129.4 130.7 129.6 131.5 1.9 1.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.4 36.6 35.3 36.5 1.2 3.4

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 340.8 347.7 340.7 348.2 7.5 2.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 56.9 56.4 57.0 0.6 1.1

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253.0 256.4 252.5 256.9 4.4 1.7

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.2 52.1 52.5 52.4 -0.1 -0.2

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.5 2,953.4 2,931.5 2,961.5 30.0 1.0

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,175.3 1,189.8 1,177.2 1,193.7 16.5 1.4

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.7 181.3 180.1 182.3 2.2 1.2

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.3 265.8 264.4 268.1 3.7 1.4

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 80.1 81.0 80.5 -0.5 -0.6

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 53.2 53.9 53.5 -0.4 -0.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.5 185.4 185.2 186.0 0.8 0.4

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497.6 503.6 496.9 503.0 6.1 1.2

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 592.9 597.1 591.0 596.8 5.8 1.0

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,064.4 2,110.0 2,079.0 2,121.4 42.4 2.0

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 348.4 356.5 352.0 359.0 7.0 2.0

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 395.3 399.3 397.9 400.4 2.5 0.6

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.9 89.1 88.7 89.7 1.0 1.1

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413.6 418.6 416.1 421.2 5.1 1.2

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.1 77.5 76.3 77.4 1.1 1.4

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.1 164.3 157.1 162.5 5.4 3.4

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149.7 152.1 149.8 153.1 3.3 2.2

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.2 39.1 39.2 39.3 0.1 0.3

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437.9 439.1 435.7 437.4 1.7 0.4

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.6 66.2 67.6 1.4 2.1

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.2 154.7 154.9 153.5 -1.4 -0.9

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,012.2 3,049.2 3,026.7 3,065.4 38.7 1.3

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.2 261.5 256.5 264.2 7.7 3.0

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.3 90.2 90.3 90.8 0.5 0.6

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.0 50.0 52.7 50.8 -1.9 -3.6

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.9 69.5 69.5 69.9 0.4 0.6

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 81.6 80.9 81.6 0.7 0.9

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.9 123.0 123.3 123.2 -0.1 -0.1

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.7 398.7 400.4 402.1 1.7 0.4

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 645.8 648.7 650.8 655.8 5.0 0.8

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.7 47.7 46.7 47.8 1.1 2.4

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 967.2 994.1 972.5 997.6 25.1 2.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,132.6 12,444.5 12,199.8 12,531.4 331.6 2.7

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 68.6 69.2 69.4 0.2 0.3

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.6 122.4 121.6 123.2 1.6 1.3

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,014.4 1,036.3 1,018.6 1,046.4 27.8 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.8 163.6 164.3 164.5 0.2 0.1

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 142.8 143.4 143.3 -0.1 -0.1

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117.2 121.9 117.5 121.9 4.4 3.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 190.6 195.5 191.6 197.1 5.5 2.9

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,555.7 3,654.8 3,583.3 3,683.7 100.4 2.8

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313.6 320.9 316.0 324.3 8.3 2.6

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,013.5 3,054.4 3,021.6 3,070.1 48.5 1.6

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145.5 149.3 146.9 149.8 2.9 2.0

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 104.9 104.7 105.6 0.9 0.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.1 98.5 97.2 98.8 1.6 1.6

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.6 148.6 147.7 149.2 1.5 1.0

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254.1 259.7 256.1 261.9 5.8 2.3

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.1 89.1 87.9 90.0 2.1 2.4

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.4 71.2 69.5 71.2 1.7 2.4

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.6 49.2 49.1 49.3 0.2 0.4

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,024.8 1,056.3 1,031.2 1,062.4 31.2 3.0

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 46.9 47.1 47.2 0.1 0.2

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.8 60.6 61.1 61.2 0.1 0.2

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106.0 107.5 106.4 107.9 1.5 1.4

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.3 42.5 42.4 42.6 0.2 0.5

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.4 118.7 120.3 119.0 -1.3 -1.1

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.6 58.1 57.7 58.3 0.6 1.0

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,453.2 1,493.2 1,456.0 1,498.1 42.1 2.9

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.3 63.1 61.6 63.1 1.5 2.4

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251.2 256.5 251.5 256.6 5.1 2.0

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.8 253.1 244.9 254.4 9.5 3.9

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.0 66.1 62.8 65.9 3.1 4.9

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 714.4 730.2 716.6 735.8 19.2 2.7

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317.1 320.0 315.6 320.4 4.8 1.5

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.4 127.5 125.9 126.7 0.8 0.6

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,960.6 3,993.7 3,964.4 3,998.8 34.4 0.9

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 81.0 79.2 80.5 1.3 1.6

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.3 118.5 117.4 119.6 2.2 1.9

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.6 70.3 68.9 70.3 1.4 2.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.1 104.9 105.4 105.7 0.3 0.3

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 672.3 682.9 671.7 681.4 9.7 1.4

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.8 165.7 163.9 165.9 2.0 1.2

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.9 51.4 51.1 51.7 0.6 1.2

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 777.9 768.1 773.4 767.4 -6.0 -0.8

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 64.1 63.1 64.6 1.5 2.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,297.7 3,365.6 3,299.4 3,368.3 68.9 2.1

See footnotes at end of table.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

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

[In thousands]

State and area

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

Washington - Continued

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.5 95.3 92.9 95.3 2.4 2.6

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89.8 90.2 89.8 89.5 -0.3 -0.3

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.7 113.1 111.7 112.9 1.2 1.1

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 39.9 39.6 40.0 0.4 1.0

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.8 51.0 49.6 50.9 1.3 2.6

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.9 117.1 115.1 117.7 2.6 2.3

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,978.4 2,024.8 1,983.3 2,031.2 47.9 2.4

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.7 248.8 246.7 249.1 2.4 1.0

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.4 29.1 28.6 29.3 0.7 2.4

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 47.0 44.9 45.9 1.0 2.2

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.4 87.3 85.3 87.2 1.9 2.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 755.0 758.5 765.4 759.2 -6.2 -0.8

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 44.6 45.5 44.2 -1.3 -2.9

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.0 119.7 120.4 120.5 0.1 0.1

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.3 139.8 141.0 140.3 -0.7 -0.5

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 73.1 72.6 73.5 0.9 1.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.8 39.9 41.5 40.2 -1.3 -3.1

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 67.1 67.7 67.2 -0.5 -0.7

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,961.6 3,003.7 2,961.2 3,001.1 39.9 1.3

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.6 129.6 126.9 130.0 3.1 2.4

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.2 85.8 87.4 86.2 -1.2 -1.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.1 49.0 49.0 49.4 0.4 0.8

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.4 177.8 176.0 176.9 0.9 0.5

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.9 69.9 68.6 70.1 1.5 2.2

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.7 81.4 80.8 81.8 1.0 1.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 402.7 409.6 403.0 411.8 8.8 2.2

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 868.9 873.1 869.1 875.3 6.2 0.7

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.6 98.1 97.7 97.6 -0.1 -0.1

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.4 78.3 77.4 78.3 0.9 1.2

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 62.1 62.5 62.0 -0.5 -0.8

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.5 74.1 73.6 74.5 0.9 1.2

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280.0 278.5 274.1 273.1 -1.0 -0.4

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.3 38.5 37.6 38.0 0.4 1.1

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.5 47.3 46.4 46.9 0.5 1.1

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893.7 841.5 899.6 859.9 -39.7 -4.4

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 48.6 51.6 49.4 -2.2 -4.3

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.9 31.4 34.2 32.0 -2.2 -6.4

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15.3 14.4 15.4 14.6 -0.8 -5.2

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.9 32.4 34.1 33.0 -1.1 -3.2

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71.1 67.1 71.5 68.2 -3.3 -4.6

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21.1 20.1 21.4 20.4 -1.0 -4.7

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647.2 608.0 651.3 621.5 -29.8 -4.6

Virgin Islands3

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.8 – 38.3 – – –

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

the first principal city.

2 Area boundary does not reflect official OMB delineation.

3 Data not available for September, October, and November 2017. Given the lack of adequate sample data, reliable September, October, and November 2017 estimates for

the U.S Virgin Islands cannot be produced at this time.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes

available. Area delineations are based on Office of Management and Budget Bulletin No. 15-01, dated July 15, 2015, and are available on the BLS website at

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

county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city, unless otherwise footnoted. Estimates for

the latest month are subject to revision the following month.
ESTABLISHMENT DATA

NOT SEASONALLY ADJUSTED

Table 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, not

seasonally adjusted1

[In thousands]

State, area, and division

October November

Change from

November 2016 to November

2017p

2016 2017 2016 2017p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16,686.5 16,958.4 16,780.7 17,067.5 286.8 1.7

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,040.3 6,096.2 6,074.9 6,125.6 50.7 0.8

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,595.3 1,607.5 1,603.7 1,617.5 13.8 0.9

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,445.0 4,488.7 4,471.2 4,508.1 36.9 0.8

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,380.0 2,407.2 2,385.2 2,425.4 40.2 1.7

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,152.2 1,163.9 1,155.0 1,171.8 16.8 1.5

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,111.8 1,125.1 1,114.1 1,134.9 20.8 1.9

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.0 118.2 116.1 118.7 2.6 2.2

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 790.1 798.1 791.6 798.2 6.6 0.8

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,260.0 3,307.3 3,267.8 3,316.7 48.9 1.5

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 599.6 608.3 599.4 609.8 10.4 1.7

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,660.4 2,699.0 2,668.4 2,706.9 38.5 1.4

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,466.5 8,672.7 8,553.2 8,759.1 205.9 2.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,606.2 2,667.5 2,643.4 2,695.4 52.0 2.0

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 825.8 851.7 836.5 858.6 22.1 2.6

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,168.0 1,193.8 1,180.6 1,207.7 27.1 2.3

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 612.4 622.0 626.3 629.1 2.8 0.4

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,089.2 6,113.5 6,087.7 6,116.2 28.5 0.5

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,710.1 4,733.8 4,705.6 4,731.5 25.9 0.6

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,755.3 3,777.3 3,755.3 3,776.2 20.9 0.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.2 258.9 259.2 259.7 0.5 0.2

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.8 278.7 282.5 277.2 -5.3 -1.9

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 412.8 418.9 408.6 418.4 9.8 2.4

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,608.3 3,675.5 3,608.7 3,675.2 66.5 1.8

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,735.1 2,796.8 2,739.5 2,799.8 60.3 2.2

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,839.8 1,889.6 1,842.9 1,890.9 48.0 2.6

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.3 82.7 82.9 83.7 0.8 1.0

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174.5 175.4 174.7 175.5 0.8 0.5

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.8 66.7 68.3 1.6 2.4

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.7 84.5 83.7 84.5 0.8 1.0

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 155.2 157.1 155.3 157.2 1.9 1.2

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 46.3 45.6 46.3 0.7 1.5

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 128.7 132.5 129.3 133.3 4.0 3.1

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.8 99.4 98.2 99.4 1.2 1.2

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.1 60.5 60.2 60.7 0.5 0.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,408.7 4,449.3 4,409.4 4,456.6 47.2 1.1

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,000.1 2,029.6 2,003.5 2,037.5 34.0 1.7

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 753.4 766.5 756.9 768.3 11.4 1.5

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,246.7 1,263.1 1,246.6 1,269.2 22.6 1.8

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,512.7 9,619.8 9,542.9 9,656.0 113.1 1.2

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,628.1 9,720.7 9,678.4 9,767.7 89.3 0.9

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148.1 149.3 146.6 150.0 3.4 2.3

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,346.8 1,349.1 1,354.0 1,353.1 -0.9 -0.1

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,199.9 1,196.2 1,203.4 1,194.5 -8.9 -0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,933.3 7,026.1 6,974.4 7,070.1 95.7 1.4

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,963.1 6,028.9 5,972.8 6,043.0 70.2 1.2

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,912.5 2,953.4 2,931.5 2,961.5 30.0 1.0

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 538.3 544.4 543.4 548.8 5.4 1.0

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,060.4 1,079.2 1,065.9 1,078.1 12.2 1.1

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953.6 964.9 959.0 967.7 8.7 0.9

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 360.2 364.9 363.2 366.9 3.7 1.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,132.6 12,444.5 12,199.8 12,531.4 331.6 2.7

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,555.7 3,654.8 3,583.3 3,683.7 100.4 2.8

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,535.6 2,606.6 2,557.3 2,630.4 73.1 2.9

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,020.1 1,048.2 1,026.0 1,053.3 27.3 2.7

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,297.7 3,365.6 3,299.4 3,368.3 68.9 2.1

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,978.4 2,024.8 1,983.3 2,031.2 47.9 2.4

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,667.8 1,705.6 1,671.1 1,710.8 39.7 2.4

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 310.6 319.2 312.2 320.4 8.2 2.6

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

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

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

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomes available. Area definitions are

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

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

city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan

areas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.
Map 1. Unemployment rates for metropolitan areas, not seasonally ad

November 2017

(U.S. rate = 3.9 percent)

Map includes data for 388 metropolitan areas basedon Office of Management and Budget Bulletin No. 15- 01. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:
Map 2. Over-the-year percentage change in employment, by metropolitan area, 

not seasonally adjusted, November 2017

(U.S. average = 1.4 percent)

Above U.S. average

U.S. average or below

NOTE: Map includes data for 388

metropolitan areas based on Office of

Managment and Budget Bulletin No. 15-

01. Areas in the six New England states

are Metropolitan New England City and

Town areas (NECTAs), while areas in

other states are county based.