For release 10:00 a.m. (EDT) Wednesday, May 1, 2019 USDL-19-0729 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 — MARCH 2019

Unemployment rates were lower in March than a year earlier in 267 of the 389 metropolitan areas, higher in 100 areas, and unchanged in 22 areas, the U.S. Bureau of Labor Statistics reported today. Forty-eight areas had jobless rates of less than 3.0 percent and eight areas had rates of at least 10.0 percent. Nonfarm payroll employment increased over the year in 41 metropolitan areas and was essentially unchanged in 348 areas. The national unemployment rate in March was 3.9 percent, not seasonally adjusted, down from 4.1 percent a year earlier. This news release presents statistics from two monthly programs. The civilian labor force and unemployment data are based on the same concepts and definitions as those used for the national household survey estimates. These data pertain to individuals by where they reside. The employment data come from an establishment survey that measures nonfarm employment, hours, and earnings by industry. These data pertain to jobs on payrolls defined by where the establishments are located. For more information about the concepts and statistical methodologies used by these two programs, see the Technical Note. Metropolitan Area Unemployment (Not Seasonally Adjusted) In March, Ames, IA, had the lowest unemployment rate, 1.5 percent. El Centro, CA, had the highest unemployment rate, 17.8 percent. A total of 204 areas had March jobless rates below the U.S. rate of 3.9 percent, 166 areas had rates above it, and 19 areas had rates equal to that of the nation. (See table 1 and map 1.) Ocean City, NJ, had the largest over-the-year unemployment rate decrease in March (-1.8 percentage points). An additional 16 areas had rate declines of at least 1.0 percentage point. The largest over-the-year rate increase occurred in Yakima, WA (+1.8 percentage points). Of the 51 metropolitan areas with a 2010 Census population of 1 million or more, Nashville-Davidson—Murfreesboro—Franklin, TN, had the lowest unemployment rate in March, 2.6 percent. Buffalo-Cheektowaga-Niagara Falls, NY, and Riverside-San Bernardino-Ontario, CA, had the highest jobless rates among the large areas, 4.5 percent each. Thirty-three large areas had over-the-year unemployment rate decreases, 11 had increases, and 7 had no change. The largest rate decrease occurred in Las Vegas-

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Henderson-Paradise, NV (-1.1 percentage points). No large area had an unemployment rate increase of more than 0.4 percentage point. Metropolitan Division Unemployment (Not Seasonally Adjusted) Eleven of the most populous metropolitan areas are made up of 38 metropolitan divisions, which are essentially separately identifiable employment centers. In March, Boston-Cambridge-Newton, MA, and San Francisco-Redwood City-South San Francisco, CA, had the lowest unemployment rates among the divisions, 2.5 percent each. Gary, IN, had the highest division rate, 6.3 percent. (See table 2.) In March, 28 metropolitan divisions had over-the-year unemployment rate decreases and 10 had increases. The largest rate decline occurred in Lawrence-Methuen Town-Salem, MA-NH (-1.0 percentage point). The largest over-the-year jobless rate increase occurred in Gary, IN (+1.2 percentage points). Metropolitan Area Nonfarm Employment (Not Seasonally Adjusted) In March, 41 metropolitan areas had over-the-year increases in nonfarm payroll employment and 348 were essentially unchanged. The largest over-the-year employment increases occurred in New York-Newark-Jersey City, NY-NJ-PA (+123,300), Dallas-Fort Worth-Arlington, TX (+110,700), and Houston-The Woodlands-Sugar Land, TX (+67,800). The largest over-the-year percentage gains in employment occurred in Atlantic City-Hammonton, NJ, and Reno, NV (+5.8 percent each), Myrtle Beach-Conway-North Myrtle Beach, SC-NC (+4.5 percent), and Fresno, CA, and Idaho Falls, ID (+3.9 percent each). (See table 3 and map 2.) Over the year, nonfarm employment rose in 28 of the 51 metropolitan areas with a 2010 Census population of 1 million or more, while employment was essentially unchanged in 23 areas. The largest over-the-year percentage increases in employment in these large metropolitan areas occurred in Orlando-Kissimmee-Sanford, FL (+3.7 percent), Dallas-Fort Worth-Arlington, TX (+3.0 percent), and Phoenix-Mesa-Scottsdale, AZ, and Sacramento—Roseville—Arden-Arcade, CA (+2.8 percent each). Metropolitan Division Nonfarm Employment (Not Seasonally Adjusted)

In March, nonfarm payroll employment increased in 11 of the 38 metropolitan divisions over the year and was essentially unchanged in 27 divisions. The largest over-the-year increase in employment among the metropolitan divisions occurred in New York-Jersey City-White Plains, NY-NJ (+103,300), followed by Dallas-Plano-Irving, TX (+90,600), and Seattle-Bellevue-Everett, WA (+46,500). (See table 4.) The largest over-the-year percentage increases in employment occurred in San Francisco-Redwood City-South San Francisco, CA (+3.7 percent), Dallas-Plano-Irving, TX (+3.5 percent), and Seattle-Bellevue-Everett, WA (+2.7 percent). _____________ The State Employment and Unemployment news release for April is scheduled to be released on Friday, May 17, 2019, at 10:00 a.m. (EDT). The Metropolitan Area Employment and Unemployment news release for April is scheduled to be released on Wednesday, May 29, 2019, at 10:00 a.m. (EDT).

Technical Note This release presents civilian labor force and unemployment

data from the Local Area Unemployment Statistics (LAUS) program (tables 1 and 2) for 389 metropolitan statistical areas and metropolitan New England City and Town Areas (NECTAs), plus 7 areas in Puerto Rico. Estimates for 38 metropolitan and NECTA divisions also are presented. Nonfarm payroll employment estimates from the Current Employment Statistics (CES) program (tables 3 and 4) are provided for the same areas. State estimates were previously published in the news release State Employment and Unemployment, and are republished in this 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 Chicago-Naperville-Arlington Heights, IL Metropolitan Division; Cleveland-Elyria, OH Metropolitan Statistical Area; Detroit-Warren-Dearborn, MI Metropolitan Statistical Area; Miami-Miami Beach-Kendall, FL Metropolitan Division; and Seattle-Bellevue-Everett, WA Metropolitan Division. Modeling improves the statistical basis of the estimation for these areas and provides important tools for analysis, such as measures of errors and seasonally adjusted series. For all other substate

areas in this release, estimates are prepared through indirect estimation procedures using a building-block approach. Estimates of employed persons, which are based largely on “place of work” estimates from the CES program, are adjusted to refer to place of residence as used in the CPS. Unemployment estimates are aggregates of persons previously employed in industries covered by state unemployment insurance (UI) laws and entrants to the labor force from the CPS. The substate estimates of employment and unemployment, which geographically exhaust the entire state, are adjusted proportionally to ensure that they add to the independently estimated model-based area totals. A detailed description of the estimation procedures is available from BLS upon request.

Annual revisions. Civilian labor force and unemployment data shown for the prior year reflect adjustments made at the beginning of each year, usually implemented with the issuance of January estimates. The adjusted model-based estimates typically reflect updated population data from the U.S. Census Bureau, any revisions in other input data sources, and model re-estimation. All substate estimates then are re-estimated using updated inputs and adjusted to add to the revised model-based totals. In early 2015, a new generation of time-series models was implemented, resulting in the replacement of data back to the series beginnings. At the same time, enhancements were made to the substate estimation methodology, and more timely inputs from the American Community Survey were incorporated.

Employment—from the CES program

Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period that includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2017 version of the North American Industry Classification System.

Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible these data are produced using a "weighted link relative" estimation technique in which a ratio of current-month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month’s employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria.

For some employment series, the sample of

establishments is very small or highly variable. In these cases,

a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods.

Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports that are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months.

Seasonal adjustment. Payroll employment data are seasonally adjusted for states, metropolitan areas, and metropolitan divisions at the total nonfarm level. For states, data are seasonally adjusted at the supersector level as well. Revisions to historical data for the most recent 5 years are made once a year, coincident with annual benchmark adjustments.

Payroll employment data are seasonally adjusted concurrently, using all available estimates, including those for the current month, to develop sample-based seasonal factors. Concurrent sample-based factors are created every month for the current month's preliminary estimate as well as the previous month's final estimate in order to incorporate real-time estimates.

Reliability of the estimates

The estimates presented in this release are based on sample surveys, administrative data, and modeling and, thus, are subject to sampling and other types of errors. Sampling error is a measure of sampling variability—that is, variation that occurs by chance because a sample rather than the entire population is surveyed. Survey data also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding. Use of error measures

Civilian labor force and unemployment estimates.

Measures of sampling error are not available for metropolitan areas or metropolitan divisions. Model-based error measures for states are available on the BLS website at www.bls.gov/lau/lastderr.htm. Measures of nonsampling error are not available for the areas contained in this release. Information on recent data revisions for states and local areas is available online at www.bls.gov/lau/launews1.htm.

Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states at the supersector level and for the private service-providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/web/laus/790stderr.htm. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.pdf.

Area definitions

The substate area data published in this release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. Data reflect New England City and Town Area (NECTA) definitions, rather than county-based definitions, in the six New England States. A detailed list of the geographic definitions is available online at www.bls.gov/lau/lausmsa.htm.

Additional information

Estimates of unadjusted and seasonally adjusted civilian labor force and unemployment data for states and seven substate areas are available in the news release State Employment and Unemployment. Estimates of civilian labor force and unemployment for all states, metropolitan areas, counties, cities with a population of 25,000 or more, and other areas used in the administration of various federal economic assistance programs are available online at www.bls.gov/lau/. Employment data from the CES program are available on the BLS website at www.bls.gov/sae/.

Information in this release will be made available to

sensory impaired individuals upon request. Voice phone: (202) 691-5200; Federal Relay Service: (800) 877-8339.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,195,436 2,220,068 2,199,359 2,235,635 97,322 87,696 88,824 84,129 4.4 4.0 4.0 3.8

Anniston-Oxford-Jacksonville. . . . . . . . . . . 46,133 46,078 46,336 46,237 2,403 2,133 2,196 2,027 5.2 4.6 4.7 4.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . 74,255 76,169 74,352 76,355 2,980 2,673 2,848 2,724 4.0 3.5 3.8 3.6

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . 543,796 550,949 544,191 554,469 21,521 19,591 19,718 18,875 4.0 3.6 3.6 3.4

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . 91,578 93,498 93,649 96,001 3,940 3,463 3,524 3,363 4.3 3.7 3.8 3.5

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,462 71,479 69,799 71,816 3,000 2,539 2,703 2,433 4.3 3.6 3.9 3.4

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,571 63,099 62,717 63,665 2,865 2,593 2,583 2,477 4.6 4.1 4.1 3.9

Florence-Muscle Shoals. . . . . . . . . . . . . . . 64,991 65,437 65,475 65,927 3,162 2,972 2,857 2,716 4.9 4.5 4.4 4.1

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,067 43,551 43,389 44,089 2,028 1,824 1,835 1,803 4.7 4.2 4.2 4.1

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 222,264 225,322 221,872 226,539 8,690 7,568 7,929 7,434 3.9 3.4 3.6 3.3

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187,536 189,297 187,568 189,789 10,061 9,377 9,131 8,619 5.4 5.0 4.9 4.5

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . 172,599 173,468 172,523 174,174 7,511 6,707 6,890 6,444 4.4 3.9 4.0 3.7

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . 115,332 118,184 115,007 118,482 4,832 4,239 4,441 4,156 4.2 3.6 3.9 3.5

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 354,403 349,442 354,154 349,993 27,042 26,173 25,937 25,209 7.6 7.5 7.3 7.2

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . 199,665 196,007 199,336 196,336 13,718 12,683 13,185 12,457 6.9 6.5 6.6 6.3

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,699 44,689 45,821 44,884 3,077 2,992 2,918 2,893 6.7 6.7 6.4 6.4

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,400,180 3,512,865 3,410,192 3,507,766 160,398 164,242 158,452 160,036 4.7 4.7 4.6 4.6

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,937 76,844 75,840 76,766 4,325 4,669 4,188 4,369 5.8 6.1 5.5 5.7

Lake Havasu City-Kingman. . . . . . . . . . . . 84,026 86,826 84,262 86,320 4,882 4,982 4,798 4,872 5.8 5.7 5.7 5.6

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . 2,383,191 2,469,839 2,386,454 2,462,863 100,444 103,109 98,300 100,412 4.2 4.2 4.1 4.1

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103,874 105,580 104,534 106,415 4,713 4,752 4,553 4,635 4.5 4.5 4.4 4.4

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . 49,165 50,022 49,612 50,411 2,779 2,903 2,765 2,866 5.7 5.8 5.6 5.7

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485,636 495,137 484,504 494,099 21,819 22,282 21,133 21,628 4.5 4.5 4.4 4.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,174 97,000 95,093 98,623 11,695 11,940 12,973 11,935 12.8 12.3 13.6 12.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,344,868 1,355,762 1,348,676 1,357,559 57,510 58,889 51,025 46,683 4.3 4.3 3.8 3.4

Fayetteville-Springdale-Rogers. . . . . . . . . 273,736 278,198 274,666 279,047 8,513 8,735 7,630 6,846 3.1 3.1 2.8 2.5

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . 120,122 119,018 119,860 118,211 5,490 5,191 4,813 4,094 4.6 4.4 4.0 3.5

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . 40,730 41,033 41,123 41,342 1,895 1,869 1,692 1,481 4.7 4.6 4.1 3.6

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,833 64,584 64,100 64,643 2,360 2,317 2,073 1,808 3.7 3.6 3.2 2.8

Little Rock-North Little Rock-Conway. . . . 352,148 355,721 353,085 356,518 13,697 13,780 12,335 11,059 3.9 3.9 3.5 3.1

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,405 35,383 35,362 35,387 1,982 2,131 1,815 1,760 5.6 6.0 5.1 5.0

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,343,020 19,596,296 19,328,608 19,512,568 887,199 867,268 859,783 901,547 4.6 4.4 4.4 4.6

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 385,186 395,166 377,314 388,712 37,087 36,656 37,740 39,268 9.6 9.3 10.0 10.1

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,024 104,504 102,802 104,504 5,870 6,343 5,617 6,491 5.8 6.1 5.5 6.2

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,620 71,414 70,203 70,200 11,671 12,355 11,530 12,479 16.5 17.3 16.4 17.8

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447,013 461,836 447,145 461,736 40,649 41,052 40,613 43,184 9.1 8.9 9.1 9.4

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . 58,646 59,310 57,582 58,752 5,653 5,917 5,514 6,076 9.6 10.0 9.6 10.3

Los Angeles-Long Beach-Anaheim. . . . . 6,768,038 6,779,565 6,758,321 6,747,032 290,401 269,590 278,128 276,133 4.3 4.0 4.1 4.1

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,730 64,815 61,584 62,709 5,203 5,321 5,221 5,593 8.2 8.2 8.5 8.9

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,079 117,721 116,385 117,915 12,313 12,482 12,362 12,937 10.6 10.6 10.6 11.0

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 242,901 244,732 243,286 244,271 17,929 17,482 17,940 18,382 7.4 7.1 7.4 7.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,007 74,729 73,810 74,380 2,503 2,543 2,382 2,597 3.4 3.4 3.2 3.5

Oxnard-Thousand Oaks-Ventura. . . . . . . 426,854 430,210 426,571 428,992 17,196 17,056 16,259 17,354 4.0 4.0 3.8 4.0

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,035 74,393 74,095 74,046 4,379 4,581 4,375 4,590 5.9 6.2 5.9 6.2

Riverside-San Bernardino-Ontario. . . . . . 2,046,850 2,075,862 2,048,836 2,068,034 91,148 89,215 87,812 93,433 4.5 4.3 4.3 4.5

Sacramento--Roseville--Arden-Arcade. . . 1,087,657 1,119,645 1,087,676 1,113,116 44,819 45,405 43,491 47,877 4.1 4.1 4.0 4.3

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215,651 220,256 217,515 221,969 21,817 22,780 20,856 22,521 10.1 10.3 9.6 10.1

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . 1,586,759 1,610,073 1,587,029 1,602,137 55,641 55,753 53,335 58,692 3.5 3.5 3.4 3.7

San Francisco-Oakland-Hayward. . . . . . . 2,565,305 2,629,126 2,570,413 2,620,786 75,234 73,947 72,265 78,453 2.9 2.8 2.8 3.0

San Jose-Sunnyvale-Santa Clara. . . . . . . 1,072,411 1,096,998 1,072,857 1,095,216 31,657 30,661 30,357 32,744 3.0 2.8 2.8 3.0

San Luis Obispo-Paso Robles-ArroyoGrande. . . . . . . . . . . . . . . . . . . . . . . . . . . . 141,684 142,486 141,225 141,960 4,525 4,538 4,321 4,730 3.2 3.2 3.1 3.3

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . 141,667 143,784 141,908 143,562 9,506 9,578 9,348 9,944 6.7 6.7 6.6 6.9

Santa Maria-Santa Barbara. . . . . . . . . . . . 215,308 219,886 215,610 220,045 10,574 10,580 9,975 10,700 4.9 4.8 4.6 4.9

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . 261,077 261,629 260,419 260,683 7,950 8,048 7,676 8,495 3.0 3.1 2.9 3.3

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . 325,766 328,974 324,999 327,256 22,900 22,964 22,484 23,918 7.0 7.0 6.9 7.3

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . 208,952 210,287 208,932 209,337 9,114 9,194 8,791 9,531 4.4 4.4 4.2 4.6

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . 205,692 210,934 202,208 208,502 23,543 23,965 23,655 25,244 11.4 11.4 11.7 12.1

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 73,689 75,590 74,158 76,020 6,565 6,753 6,688 7,129 8.9 8.9 9.0 9.4

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,054,983 3,132,592 3,056,824 3,123,718 98,228 109,509 94,901 93,998 3.2 3.5 3.1 3.0

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192,105 198,466 192,324 198,372 5,311 5,715 5,132 4,950 2.8 2.9 2.7 2.5

Colorado Springs. . . . . . . . . . . . . . . . . . . . . 345,172 353,835 345,397 353,540 12,991 14,647 12,728 12,620 3.8 4.1 3.7 3.6

Denver-Aurora-Lakewood. . . . . . . . . . . . . . 1,625,707 1,667,784 1,626,544 1,660,449 49,895 55,502 48,214 47,964 3.1 3.3 3.0 2.9

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . 198,588 205,263 198,473 205,042 5,613 6,289 5,296 5,301 2.8 3.1 2.7 2.6

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . 74,986 77,410 75,227 77,074 3,349 3,598 3,153 2,905 4.5 4.6 4.2 3.8

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,035 167,161 161,962 166,728 4,879 5,361 4,677 4,619 3.0 3.2 2.9 2.8

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,695 76,404 75,783 75,932 3,575 3,967 3,514 3,396 4.7 5.2 4.6 4.5

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,881,241 1,905,164 1,887,096 1,903,775 94,440 83,677 88,048 79,680 5.0 4.4 4.7 4.2

Bridgeport-Stamford-Norwalk. . . . . . . . . . . 459,283 463,493 461,297 463,148 22,658 20,315 21,117 19,193 4.9 4.4 4.6 4.1

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,833 106,195 105,408 106,393 4,507 4,172 4,162 3,918 4.3 3.9 3.9 3.7

Hartford-West Hartford-East Hartford. . . . 619,446 628,326 621,585 628,363 30,977 27,403 29,056 26,219 5.0 4.4 4.7 4.2

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . 323,161 327,700 322,858 326,342 15,640 13,537 14,626 13,082 4.8 4.1 4.5 4.0

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Connecticut - Continued

Norwich-New London-Westerly. . . . . . . . . 140,574 141,551 140,924 141,840 7,141 6,266 6,516 5,804 5.1 4.4 4.6 4.1

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . 111,125 112,494 111,612 112,725 7,105 6,150 6,596 5,899 6.4 5.5 5.9 5.2

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478,740 485,741 481,405 488,709 20,931 16,640 19,505 15,831 4.4 3.4 4.1 3.2

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78,239 79,401 78,786 79,636 3,725 2,904 3,481 2,761 4.8 3.7 4.4 3.5

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . 184,552 188,302 186,278 190,050 12,176 10,600 10,629 9,503 6.6 5.6 5.7 5.0

District of Columbia. . . . . . . . . . . . . . . . . . . . . 406,696 407,959 406,065 410,230 24,123 24,520 23,191 22,814 5.9 6.0 5.7 5.6

Washington-Arlington-Alexandria. . . . . . . 3,389,423 3,412,017 3,393,699 3,421,626 124,482 119,665 117,932 113,347 3.7 3.5 3.5 3.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,187,885 10,366,434 10,202,284 10,314,179 386,033 354,790 373,111 337,962 3.8 3.4 3.7 3.3

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . 344,552 353,367 345,524 351,483 12,173 11,593 11,602 11,019 3.5 3.3 3.4 3.1

Crestview-Fort Walton Beach-Destin. . . . 123,159 125,929 126,401 126,552 4,152 3,819 3,869 3,581 3.4 3.0 3.1 2.8

Deltona-Daytona Beach-OrmondBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 299,344 303,478 300,559 301,011 12,202 11,405 11,640 10,697 4.1 3.8 3.9 3.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 144,554 145,716 144,623 144,322 5,074 4,639 4,835 4,412 3.5 3.2 3.3 3.1

Homosassa Springs. . . . . . . . . . . . . . . . . . . 47,634 47,957 47,857 47,956 2,666 2,523 2,493 2,339 5.6 5.3 5.2 4.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 766,947 769,813 769,616 767,811 27,584 25,921 26,480 24,478 3.6 3.4 3.4 3.2

Lakeland-Winter Haven. . . . . . . . . . . . . . . . 294,659 300,623 295,794 300,359 12,851 11,706 12,229 11,095 4.4 3.9 4.1 3.7

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,151,034 3,220,948 3,135,419 3,183,755 120,523 106,109 120,051 103,894 3.8 3.3 3.8 3.3

Naples-Immokalee-Marco Island. . . . . . . . 180,845 183,250 181,126 181,940 6,211 5,708 5,890 5,358 3.4 3.1 3.3 2.9

North Port-Sarasota-Bradenton. . . . . . . . . 366,393 366,613 368,561 367,137 13,049 12,191 12,320 11,582 3.6 3.3 3.3 3.2

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135,108 136,685 135,102 136,625 6,226 5,749 5,916 5,383 4.6 4.2 4.4 3.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . 1,320,261 1,358,988 1,325,772 1,354,695 46,622 43,182 44,407 40,720 3.5 3.2 3.3 3.0

Palm Bay-Melbourne-Titusville. . . . . . . . . 272,831 281,403 274,815 279,963 10,409 9,832 10,013 9,226 3.8 3.5 3.6 3.3

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . 92,844 92,102 94,298 93,121 3,779 4,661 3,431 4,055 4.1 5.1 3.6 4.4

Pensacola-Ferry Pass-Brent. . . . . . . . . . . 222,200 225,824 223,619 225,153 8,413 7,671 7,959 7,220 3.8 3.4 3.6 3.2

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . 215,321 219,747 216,588 219,264 9,417 8,647 8,941 8,012 4.4 3.9 4.1 3.7

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . 71,293 72,439 71,926 72,628 2,946 2,854 2,811 2,691 4.1 3.9 3.9 3.7

Sebastian-Vero Beach. . . . . . . . . . . . . . . . 65,233 66,489 65,353 66,437 2,877 2,617 2,756 2,477 4.4 3.9 4.2 3.7

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,620 37,016 37,657 36,930 1,857 1,768 1,746 1,632 4.9 4.8 4.6 4.4

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . 193,289 196,322 192,859 196,006 7,014 6,466 6,746 6,155 3.6 3.3 3.5 3.1

Tampa-St. Petersburg-Clearwater. . . . . . 1,520,981 1,536,363 1,524,962 1,535,878 56,374 53,051 54,100 50,069 3.7 3.5 3.5 3.3

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . 31,311 31,854 31,336 31,744 1,707 1,634 1,622 1,567 5.5 5.1 5.2 4.9

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,122,823 5,118,857 5,121,497 5,110,345 222,033 202,189 207,451 188,273 4.3 3.9 4.1 3.7

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,712 67,457 67,773 67,224 3,386 3,151 3,153 2,924 5.0 4.7 4.7 4.3

Athens-Clarke County. . . . . . . . . . . . . . . . . 102,414 101,294 102,047 101,101 4,160 3,811 3,826 3,577 4.1 3.8 3.7 3.5

Atlanta-Sandy Springs-Roswell. . . . . . . . . 3,080,204 3,078,164 3,079,660 3,074,287 128,616 115,940 120,593 109,351 4.2 3.8 3.9 3.6

Augusta-Richmond County. . . . . . . . . . . . . 269,561 271,132 269,574 270,106 12,166 10,828 11,360 10,535 4.5 4.0 4.2 3.9

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,568 53,399 53,684 53,538 2,312 2,093 2,145 1,943 4.3 3.9 4.0 3.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,934 125,110 126,245 124,949 6,491 5,721 5,976 5,408 5.2 4.6 4.7 4.3

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61,216 61,967 61,088 61,567 3,290 3,319 3,207 2,810 5.4 5.4 5.2 4.6

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . 101,904 103,562 101,902 103,407 3,608 3,317 3,300 3,106 3.5 3.2 3.2 3.0

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 34,154 33,964 34,208 33,992 1,622 1,381 1,530 1,313 4.7 4.1 4.5 3.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . 105,709 104,578 105,535 104,325 4,913 4,456 4,656 4,194 4.6 4.3 4.4 4.0

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,879 44,611 44,643 44,517 2,083 1,944 1,868 1,741 4.6 4.4 4.2 3.9

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . 190,085 188,728 191,648 187,795 7,523 6,980 7,023 6,576 4.0 3.7 3.7 3.5

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,563 64,862 64,755 65,071 2,840 2,618 2,624 2,423 4.4 4.0 4.1 3.7

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . 86,584 86,497 86,394 86,342 3,766 3,468 3,524 3,200 4.3 4.0 4.1 3.7

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 679,715 668,169 681,464 668,648 15,109 18,409 15,063 18,992 2.2 2.8 2.2 2.8

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . 85,525 84,608 86,284 84,758 1,979 2,451 1,889 2,410 2.3 2.9 2.2 2.8

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . 468,021 460,151 468,027 460,967 10,136 11,799 10,063 12,279 2.2 2.6 2.2 2.7

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 846,864 867,922 848,084 867,972 31,758 32,079 30,213 29,627 3.8 3.7 3.6 3.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . 358,184 370,451 358,938 370,313 12,166 12,189 11,406 10,918 3.4 3.3 3.2 2.9

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . 76,647 78,778 76,739 78,857 3,789 3,904 3,569 3,759 4.9 5.0 4.7 4.8

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 69,170 71,630 69,076 71,311 2,244 2,182 2,115 1,909 3.2 3.0 3.1 2.7

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31,360 31,483 31,275 31,378 1,293 1,287 1,191 1,285 4.1 4.1 3.8 4.1

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . 41,891 42,826 41,818 42,699 1,466 1,456 1,330 1,257 3.5 3.4 3.2 2.9

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 52,368 52,919 52,391 52,887 1,744 1,791 1,659 1,642 3.3 3.4 3.2 3.1

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,477,500 6,455,651 6,467,723 6,470,975 316,539 302,523 281,008 289,991 4.9 4.7 4.3 4.5

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 97,122 95,312 97,153 95,180 4,142 4,590 4,066 4,647 4.3 4.8 4.2 4.9

Carbondale-Marion. . . . . . . . . . . . . . . . . . . 60,314 61,025 60,432 61,329 2,989 3,057 2,988 3,144 5.0 5.0 4.9 5.1

Champaign-Urbana. . . . . . . . . . . . . . . . . . . 121,998 121,354 122,925 121,886 5,319 5,822 5,128 5,856 4.4 4.8 4.2 4.8

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . 4,887,130 4,873,577 4,868,194 4,889,415 232,517 210,843 200,658 201,196 4.8 4.3 4.1 4.1

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33,869 33,128 34,270 33,432 2,242 2,086 2,170 2,104 6.6 6.3 6.3 6.3

Davenport-Moline-Rock Island1. . . . . . . . . 189,841 191,594 191,324 193,736 9,192 9,222 8,549 9,489 4.8 4.8 4.5 4.9

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49,725 49,536 49,850 49,529 2,823 3,078 2,795 3,121 5.7 6.2 5.6 6.3

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . 55,387 55,857 55,696 56,030 3,401 3,703 3,256 3,656 6.1 6.6 5.8 6.5

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177,354 179,789 178,907 180,268 10,197 10,743 9,748 10,702 5.7 6.0 5.4 5.9

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167,071 167,811 167,420 167,802 9,446 10,803 9,156 11,098 5.7 6.4 5.5 6.6

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,892 110,172 111,504 110,579 5,054 5,635 4,830 5,606 4.6 5.1 4.3 5.1

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,354,634 3,410,854 3,365,497 3,419,800 126,312 139,482 118,892 134,413 3.8 4.1 3.5 3.9

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . 80,928 81,460 80,065 80,726 3,168 3,539 2,922 3,150 3.9 4.3 3.6 3.9

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,643 46,274 44,897 46,392 1,323 1,484 1,210 1,343 3.0 3.2 2.7 2.9

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Indiana - Continued

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . 115,690 117,542 115,873 117,406 2,918 3,992 2,758 3,744 2.5 3.4 2.4 3.2

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,446 166,466 163,264 166,768 5,657 6,098 5,282 5,788 3.5 3.7 3.2 3.5

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . 214,693 219,704 214,721 219,466 7,277 8,095 6,777 7,535 3.4 3.7 3.2 3.4

Indianapolis-Carmel-Anderson. . . . . . . . . . 1,049,921 1,067,864 1,054,890 1,073,782 36,216 39,573 34,670 37,328 3.4 3.7 3.3 3.5

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37,026 38,215 37,102 38,283 1,440 1,739 1,364 1,667 3.9 4.6 3.7 4.4

Lafayette-West Lafayette. . . . . . . . . . . . . . 112,278 113,015 112,288 112,101 3,908 4,130 3,637 3,801 3.5 3.7 3.2 3.4

Michigan City-La Porte. . . . . . . . . . . . . . . . 47,734 47,888 47,879 48,031 2,512 2,817 2,358 2,712 5.3 5.9 4.9 5.6

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,175 55,232 54,467 55,130 2,426 2,601 2,256 2,433 4.5 4.7 4.1 4.4

South Bend-Mishawaka. . . . . . . . . . . . . . . 161,118 163,466 161,256 163,646 6,504 6,968 6,099 6,762 4.0 4.3 3.8 4.1

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . 77,207 78,132 77,211 77,902 3,812 4,299 3,457 3,999 4.9 5.5 4.5 5.1

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,677,441 1,708,614 1,677,530 1,714,804 56,014 46,786 50,720 47,553 3.3 2.7 3.0 2.8

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,760 60,262 58,525 60,457 1,100 857 994 892 1.9 1.4 1.7 1.5

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . 143,117 143,798 143,643 144,920 5,211 4,171 4,715 4,217 3.6 2.9 3.3 2.9

Des Moines-West Des Moines. . . . . . . . . 350,336 359,407 350,939 362,323 11,041 9,739 10,107 10,044 3.2 2.7 2.9 2.8

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . 54,864 56,060 55,184 56,749 1,893 1,564 1,675 1,582 3.5 2.8 3.0 2.8

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,978 97,813 98,345 98,674 2,358 1,795 2,117 1,844 2.4 1.8 2.2 1.9

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . 90,555 93,821 90,828 93,983 3,021 2,655 2,807 2,665 3.3 2.8 3.1 2.8

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . 89,417 90,662 89,537 91,221 3,028 2,433 2,834 2,495 3.4 2.7 3.2 2.7

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,476,578 1,482,112 1,473,071 1,472,536 55,068 55,195 51,611 53,968 3.7 3.7 3.5 3.7

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . 66,357 66,418 65,981 65,851 2,228 2,272 2,091 2,145 3.4 3.4 3.2 3.3

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . 48,827 48,981 48,433 48,366 1,451 1,604 1,388 1,517 3.0 3.3 2.9 3.1

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119,552 120,772 119,383 120,434 4,699 4,929 4,182 4,743 3.9 4.1 3.5 3.9

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307,921 312,107 307,363 310,077 12,873 12,270 11,966 12,084 4.2 3.9 3.9 3.9

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,057,658 2,057,594 2,068,027 2,077,901 103,803 88,454 97,165 92,313 5.0 4.3 4.7 4.4

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . 83,415 84,221 83,883 84,987 3,856 3,432 3,501 3,527 4.6 4.1 4.2 4.2

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . 67,418 67,549 67,617 68,279 3,221 2,860 3,033 2,981 4.8 4.2 4.5 4.4

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . 270,038 270,415 270,803 272,121 10,587 9,070 10,031 9,764 3.9 3.4 3.7 3.6

Louisville/Jefferson County. . . . . . . . . . . . . 667,681 673,398 671,165 678,413 27,786 26,048 26,690 26,843 4.2 3.9 4.0 4.0

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . 56,519 55,914 56,496 56,088 2,778 2,191 2,536 2,279 4.9 3.9 4.5 4.1

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,092,235 2,087,378 2,104,316 2,090,401 92,116 91,915 96,908 80,506 4.4 4.4 4.6 3.9

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,537 62,633 63,651 62,591 3,073 3,000 3,221 2,622 4.8 4.8 5.1 4.2

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . 416,293 416,802 421,271 417,733 16,120 16,474 16,980 14,340 3.9 4.0 4.0 3.4

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,977 54,024 54,124 53,962 2,600 2,680 2,739 2,340 4.8 5.0 5.1 4.3

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . 87,960 85,575 88,442 85,507 3,941 3,741 4,128 3,257 4.5 4.4 4.7 3.8

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . 210,463 211,508 212,230 211,806 9,713 9,228 10,247 8,048 4.6 4.4 4.8 3.8

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . 113,186 112,842 114,408 113,482 3,892 3,962 4,081 3,494 3.4 3.5 3.6 3.1

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79,143 79,246 79,697 79,281 3,779 3,992 3,974 3,499 4.8 5.0 5.0 4.4

New Orleans-Metairie. . . . . . . . . . . . . . . . . 591,549 592,814 591,946 594,096 24,333 24,123 25,609 21,240 4.1 4.1 4.3 3.6

Shreveport-Bossier City. . . . . . . . . . . . . . . 187,056 184,770 187,519 184,478 8,656 8,674 9,230 7,614 4.6 4.7 4.9 4.1

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689,944 687,164 691,740 687,467 27,522 26,936 27,137 26,273 4.0 3.9 3.9 3.8

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 71,084 70,557 70,788 70,890 2,852 2,803 2,763 2,671 4.0 4.0 3.9 3.8

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . 55,451 55,327 55,645 55,757 2,015 2,025 2,033 2,043 3.6 3.7 3.7 3.7

Portland-South Portland. . . . . . . . . . . . . . . 204,679 204,450 205,499 205,130 6,284 6,069 6,358 6,237 3.1 3.0 3.1 3.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,187,022 3,200,023 3,191,821 3,206,767 142,920 132,193 132,160 124,330 4.5 4.1 4.1 3.9

Baltimore-Columbia-Towson. . . . . . . . . . . 1,483,898 1,496,602 1,487,533 1,503,094 66,739 61,220 62,171 58,329 4.5 4.1 4.2 3.9

California-Lexington Park. . . . . . . . . . . . . . 55,318 55,581 55,375 55,660 2,396 2,174 2,218 2,043 4.3 3.9 4.0 3.7

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . 44,473 44,537 44,433 44,525 2,941 2,685 2,718 2,420 6.6 6.0 6.1 5.4

Hagerstown-Martinsburg. . . . . . . . . . . . . . . 130,602 131,624 130,484 131,751 6,775 6,070 6,180 5,497 5.2 4.6 4.7 4.2

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . 3,759,467 3,833,572 3,775,360 3,834,050 151,670 122,600 141,652 119,430 4.0 3.2 3.8 3.1

Barnstable Town. . . . . . . . . . . . . . . . . . . . . 119,224 121,753 119,737 121,891 7,818 6,549 6,897 5,970 6.6 5.4 5.8 4.9

Boston-Cambridge-Nashua. . . . . . . . . . . . 2,783,408 2,835,612 2,796,606 2,841,453 98,227 78,993 92,321 78,043 3.5 2.8 3.3 2.7

Leominster-Gardner. . . . . . . . . . . . . . . . . . . 80,748 83,122 80,983 83,112 3,811 3,167 3,580 3,089 4.7 3.8 4.4 3.7

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . 85,885 87,739 85,979 87,155 5,848 4,554 5,319 4,243 6.8 5.2 6.2 4.9

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43,235 43,512 43,112 43,219 2,348 1,903 2,194 1,823 5.4 4.4 5.1 4.2

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 376,670 388,739 378,214 387,036 18,208 15,234 17,254 14,731 4.8 3.9 4.6 3.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . 361,321 365,585 362,974 364,121 15,456 12,987 14,463 12,626 4.3 3.6 4.0 3.5

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,902,969 4,938,198 4,899,905 4,948,184 241,250 202,232 222,478 219,633 4.9 4.1 4.5 4.4

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . 197,149 196,362 196,755 197,443 6,443 5,322 5,674 5,989 3.3 2.7 2.9 3.0

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . 63,211 63,459 63,164 63,407 3,244 2,590 2,974 2,815 5.1 4.1 4.7 4.4

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,783 50,405 50,537 50,184 3,201 2,593 2,933 2,683 6.3 5.1 5.8 5.3

Detroit-Warren-Dearborn. . . . . . . . . . . . . . 2,120,181 2,145,756 2,123,735 2,155,586 98,755 86,377 93,515 95,921 4.7 4.0 4.4 4.4

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182,998 183,022 182,495 183,850 10,903 8,956 9,986 9,555 6.0 4.9 5.5 5.2

Grand Rapids-Wyoming. . . . . . . . . . . . . . . 580,978 588,388 580,773 587,611 21,128 16,904 18,943 18,725 3.6 2.9 3.3 3.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,778 74,916 74,965 75,098 3,608 2,928 3,207 3,097 4.8 3.9 4.3 4.1

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . 169,687 170,452 169,148 170,506 7,864 6,081 7,028 6,672 4.6 3.6 4.2 3.9

Lansing-East Lansing. . . . . . . . . . . . . . . . . 252,698 250,769 251,304 250,643 10,274 8,294 9,238 9,029 4.1 3.3 3.7 3.6

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40,884 40,430 40,754 40,433 2,138 1,598 1,955 1,756 5.2 4.0 4.8 4.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75,946 76,485 75,757 76,467 3,700 3,216 3,047 3,143 4.9 4.2 4.0 4.1

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . 77,809 78,276 77,855 78,304 4,316 3,323 3,997 3,580 5.5 4.2 5.1 4.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . 73,234 72,669 73,472 73,099 4,007 3,183 3,602 3,315 5.5 4.4 4.9 4.5

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,535 87,316 87,257 87,371 5,222 4,429 4,778 4,597 6.0 5.1 5.5 5.3

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,058,954 3,082,754 3,056,957 3,089,899 116,243 121,872 111,160 127,114 3.8 4.0 3.6 4.1

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 144,301 144,341 143,937 144,325 7,233 6,961 6,801 7,088 5.0 4.8 4.7 4.9

Mankato-North Mankato. . . . . . . . . . . . . . . 61,155 61,683 61,357 61,888 1,901 1,998 1,798 2,077 3.1 3.2 2.9 3.4

Minneapolis-St. Paul-Bloomington. . . . . . 1,995,663 2,009,155 1,989,780 2,011,603 65,854 68,444 62,764 72,044 3.3 3.4 3.2 3.6

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 122,014 124,316 122,916 125,248 4,200 4,257 3,943 4,548 3.4 3.4 3.2 3.6

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . 111,552 113,859 111,653 114,043 4,749 4,996 4,491 5,098 4.3 4.4 4.0 4.5

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,276,208 1,254,627 1,276,084 1,259,523 62,447 60,781 59,249 60,982 4.9 4.8 4.6 4.8

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . 163,529 161,930 164,347 162,568 8,430 8,041 7,908 7,994 5.2 5.0 4.8 4.9

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . 69,032 69,344 68,430 69,254 2,907 2,958 2,772 2,924 4.2 4.3 4.1 4.2

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 271,114 266,092 270,110 266,797 11,298 11,105 10,998 11,473 4.2 4.2 4.1 4.3

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,052,969 3,045,104 3,055,283 3,041,039 121,881 112,876 113,538 118,145 4.0 3.7 3.7 3.9

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . 47,606 47,893 47,609 47,770 1,758 1,612 1,710 1,705 3.7 3.4 3.6 3.6

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,829 97,368 98,048 97,212 2,607 2,537 2,472 2,728 2.7 2.6 2.5 2.8

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . 73,883 72,578 73,953 72,495 2,433 2,376 2,268 2,363 3.3 3.3 3.1 3.3

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84,298 84,632 84,253 84,415 2,768 2,646 2,652 2,939 3.3 3.1 3.1 3.5

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . 1,127,530 1,127,787 1,126,493 1,127,019 43,903 41,502 41,219 42,935 3.9 3.7 3.7 3.8

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . 63,433 63,090 63,618 63,123 2,305 2,263 2,247 2,375 3.6 3.6 3.5 3.8

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,456,768 1,458,175 1,456,706 1,454,297 57,918 55,542 55,409 58,233 4.0 3.8 3.8 4.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 229,832 233,488 229,973 233,368 7,695 7,105 7,363 7,605 3.3 3.0 3.2 3.3

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 522,485 526,362 523,623 526,984 23,827 23,217 23,092 21,838 4.6 4.4 4.4 4.1

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86,398 87,195 86,948 87,273 3,450 3,489 3,349 3,255 4.0 4.0 3.9 3.7

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 37,798 38,339 37,854 38,328 1,660 1,644 1,594 1,521 4.4 4.3 4.2 4.0

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62,816 63,929 63,064 64,031 2,647 2,587 2,519 2,438 4.2 4.0 4.0 3.8

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,011,707 1,026,761 1,014,563 1,031,404 31,810 31,927 30,993 33,371 3.1 3.1 3.1 3.2

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . 43,412 43,585 43,638 44,011 1,470 1,435 1,381 1,507 3.4 3.3 3.2 3.4

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181,987 183,804 181,917 183,317 5,013 5,063 4,871 5,358 2.8 2.8 2.7 2.9

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . 482,744 491,854 482,495 492,473 15,784 15,605 15,350 16,192 3.3 3.2 3.2 3.3

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,485,731 1,524,643 1,485,939 1,515,842 71,877 63,194 70,413 55,642 4.8 4.1 4.7 3.7

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . 25,717 26,336 25,548 26,075 1,468 1,229 1,406 1,061 5.7 4.7 5.5 4.1

Las Vegas-Henderson-Paradise. . . . . . . . 1,087,931 1,112,690 1,086,932 1,105,839 54,604 46,784 53,483 41,637 5.0 4.2 4.9 3.8

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 247,166 261,069 246,700 258,883 9,937 9,584 9,821 8,144 4.0 3.7 4.0 3.1

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . 757,660 766,263 759,912 766,688 24,125 22,175 23,363 21,791 3.2 2.9 3.1 2.8

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . 84,972 85,749 85,421 85,977 2,511 2,376 2,448 2,303 3.0 2.8 2.9 2.7

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . 119,713 121,704 120,105 122,305 3,583 3,265 3,442 3,221 3.0 2.7 2.9 2.6

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . 75,448 76,351 75,748 76,238 2,141 1,967 2,153 1,972 2.8 2.6 2.8 2.6

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,429,034 4,458,265 4,413,614 4,450,669 219,283 207,502 202,742 182,599 5.0 4.7 4.6 4.1

Atlantic City-Hammonton. . . . . . . . . . . . . . 115,613 120,938 115,541 120,669 9,112 8,265 8,288 7,263 7.9 6.8 7.2 6.0

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . 40,776 41,956 40,768 41,954 6,072 5,463 5,442 4,815 14.9 13.0 13.3 11.5

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 194,761 199,372 194,433 199,812 8,474 8,133 7,759 7,012 4.4 4.1 4.0 3.5

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . 65,119 65,237 64,629 64,977 5,483 4,882 4,959 4,293 8.4 7.5 7.7 6.6

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 935,763 958,186 932,495 949,784 47,889 49,734 44,916 43,705 5.1 5.2 4.8 4.6

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . 428,826 437,402 427,054 434,393 20,282 20,910 19,002 18,405 4.7 4.8 4.4 4.2

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . 52,850 53,191 52,634 52,593 3,097 3,262 2,894 2,770 5.9 6.1 5.5 5.3

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . 96,822 99,059 96,544 98,082 5,935 6,206 5,674 5,615 6.1 6.3 5.9 5.7

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . 72,428 74,532 72,344 73,817 3,159 3,178 2,896 2,739 4.4 4.3 4.0 3.7

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,562,886 9,556,617 9,554,320 9,593,646 484,589 418,851 436,236 394,615 5.1 4.4 4.6 4.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . 446,759 451,177 446,771 454,460 21,832 17,642 19,335 16,919 4.9 3.9 4.3 3.7

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . 107,221 107,018 107,107 107,329 6,958 5,408 6,099 5,221 6.5 5.1 5.7 4.9

Buffalo-Cheektowaga-Niagara Falls. . . . . 538,099 537,303 539,279 542,021 32,738 25,411 29,092 24,235 6.1 4.7 5.4 4.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35,366 34,917 35,314 35,273 2,181 1,568 1,924 1,505 6.2 4.5 5.4 4.3

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . 58,707 59,189 58,167 59,064 3,808 3,089 3,384 2,998 6.5 5.2 5.8 5.1

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50,706 51,525 50,459 51,542 2,276 1,839 1,956 1,763 4.5 3.6 3.9 3.4

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87,531 88,453 87,657 89,172 4,477 3,526 3,864 3,344 5.1 4.0 4.4 3.8

New York-Newark-Jersey City. . . . . . . . . . 9,943,751 9,948,485 9,933,424 9,972,978 467,383 429,258 428,187 393,845 4.7 4.3 4.3 3.9

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . 520,993 521,560 519,908 522,941 28,735 22,906 25,488 21,916 5.5 4.4 4.9 4.2

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . 304,324 308,733 303,758 309,372 17,686 14,215 15,502 13,556 5.8 4.6 5.1 4.4

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . 129,649 128,806 129,121 128,984 7,879 6,276 6,991 6,055 6.1 4.9 5.4 4.7

Watertown-Fort Drum. . . . . . . . . . . . . . . . . 44,106 43,759 44,132 43,920 3,650 2,896 3,263 2,753 8.3 6.6 7.4 6.3

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . 4,974,728 5,035,556 4,987,008 5,065,196 217,858 211,300 201,085 206,445 4.4 4.2 4.0 4.1

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231,935 239,116 232,815 240,670 8,100 8,187 7,587 8,041 3.5 3.4 3.3 3.3

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 80,855 81,080 81,065 81,898 3,271 3,264 3,017 3,215 4.0 4.0 3.7 3.9

Charlotte-Concord-Gastonia. . . . . . . . . . . . 1,322,909 1,351,025 1,329,109 1,367,568 54,514 51,515 50,285 51,149 4.1 3.8 3.8 3.7

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . 299,662 302,356 299,165 303,648 11,325 11,168 10,591 11,102 3.8 3.7 3.5 3.7

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . 148,670 150,196 148,884 151,125 8,322 8,147 7,599 7,881 5.6 5.4 5.1 5.2

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . 53,447 53,462 53,187 53,191 2,540 2,369 2,370 2,337 4.8 4.4 4.5 4.4

Greensboro-High Point. . . . . . . . . . . . . . . . 369,121 369,898 369,754 370,794 16,867 16,167 15,543 15,750 4.6 4.4 4.2 4.2

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . 90,359 90,715 90,694 91,454 4,156 3,997 3,820 3,931 4.6 4.4 4.2 4.3

Hickory-Lenoir-Morganton. . . . . . . . . . . . . 173,509 176,720 174,029 176,675 6,785 6,990 6,372 6,888 3.9 4.0 3.7 3.9

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . 65,169 64,942 65,089 65,359 3,326 3,266 3,058 3,191 5.1 5.0 4.7 4.9

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,146 51,649 51,342 51,734 2,299 2,305 2,151 2,256 4.5 4.5 4.2 4.4

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 707,978 717,694 710,826 723,583 26,830 26,392 25,152 26,231 3.8 3.7 3.5 3.6

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . 65,730 65,727 65,720 65,153 4,202 3,609 3,792 3,466 6.4 5.5 5.8 5.3

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

North Carolina - Continued

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . 147,825 151,106 148,715 151,400 6,113 6,092 5,621 5,905 4.1 4.0 3.8 3.9

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . 326,380 332,648 327,018 334,222 13,531 13,032 12,556 12,817 4.1 3.9 3.8 3.8

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . 402,071 403,007 402,467 403,336 13,729 12,026 13,573 12,070 3.4 3.0 3.4 3.0

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . 67,866 67,969 67,809 67,943 2,612 2,352 2,538 2,326 3.8 3.5 3.7 3.4

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137,459 137,395 137,189 137,255 4,367 4,029 4,354 4,180 3.2 2.9 3.2 3.0

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . 55,636 54,816 55,486 54,929 1,838 1,749 1,851 1,795 3.3 3.2 3.3 3.3

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,732,276 5,788,285 5,739,578 5,811,226 288,119 269,496 269,295 240,686 5.0 4.7 4.7 4.1

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357,085 359,821 357,793 361,876 18,389 17,648 17,708 15,650 5.1 4.9 4.9 4.3

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . 198,868 200,086 199,998 201,132 11,004 10,407 10,920 9,480 5.5 5.2 5.5 4.7

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,103,971 1,124,331 1,108,321 1,133,786 46,891 44,360 44,495 40,546 4.2 3.9 4.0 3.6

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . 1,035,283 1,033,732 1,025,785 1,035,610 61,077 50,039 53,346 45,789 5.9 4.8 5.2 4.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,070,834 1,090,159 1,071,327 1,094,652 42,677 41,601 40,952 37,099 4.0 3.8 3.8 3.4

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 385,443 388,792 386,590 388,972 17,424 16,847 16,418 14,832 4.5 4.3 4.2 3.8

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47,669 48,122 47,891 48,307 2,290 2,119 2,181 1,871 4.8 4.4 4.6 3.9

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . 52,633 52,913 52,854 53,575 2,868 2,658 2,746 2,384 5.4 5.0 5.2 4.4

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . 62,674 63,668 63,075 63,864 2,904 2,959 2,774 2,597 4.6 4.6 4.4 4.1

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301,912 302,226 301,883 302,697 15,633 14,874 14,549 13,003 5.2 4.9 4.8 4.3

Weirton-Steubenville1. . . . . . . . . . . . . . . . . 50,173 50,295 49,952 49,870 3,648 3,300 3,446 2,835 7.3 6.6 6.9 5.7

Youngstown-Warren-Boardman. . . . . . . . 241,455 240,525 242,014 240,857 15,060 14,485 14,463 14,189 6.2 6.0 6.0 5.9

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,844,674 1,823,176 1,847,864 1,824,593 73,999 64,029 68,196 58,979 4.0 3.5 3.7 3.2

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27,362 26,950 27,499 26,825 992 875 922 831 3.6 3.2 3.4 3.1

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,505 50,827 51,615 50,967 2,204 1,963 2,075 1,829 4.3 3.9 4.0 3.6

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . 679,173 676,597 681,044 677,736 25,031 22,029 23,273 20,449 3.7 3.3 3.4 3.0

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 480,123 473,381 482,539 474,973 19,815 16,842 18,177 15,493 4.1 3.6 3.8 3.3

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,094,704 2,115,245 2,092,084 2,112,727 97,154 98,838 94,516 96,718 4.6 4.7 4.5 4.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58,571 59,037 58,425 58,907 3,103 3,200 2,978 3,003 5.3 5.4 5.1 5.1

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . 94,188 96,751 94,101 96,386 4,793 5,108 4,538 5,063 5.1 5.3 4.8 5.3

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48,825 48,983 48,796 48,911 1,654 1,669 1,584 1,692 3.4 3.4 3.2 3.5

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183,175 182,357 182,545 182,377 8,941 8,921 8,754 8,940 4.9 4.9 4.8 4.9

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . 35,521 36,196 35,539 36,168 2,248 2,334 2,230 2,209 6.3 6.4 6.3 6.1

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104,280 105,426 104,183 105,411 5,705 5,757 5,593 5,697 5.5 5.5 5.4 5.4

Portland-Vancouver-Hillsboro. . . . . . . . . . 1,308,636 1,329,667 1,307,443 1,327,860 55,840 54,988 54,323 55,297 4.3 4.1 4.2 4.2

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199,121 201,467 198,954 202,023 9,501 9,776 9,278 9,631 4.8 4.9 4.7 4.8

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . 6,398,071 6,461,939 6,376,939 6,449,716 319,905 270,966 288,596 249,391 5.0 4.2 4.5 3.9

Allentown-Bethlehem-Easton. . . . . . . . . . . 434,648 437,735 433,246 436,047 22,353 19,417 20,658 18,075 5.1 4.4 4.8 4.1

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59,173 59,803 58,990 59,870 2,844 2,526 2,539 2,289 4.8 4.2 4.3 3.8

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . 42,959 42,708 42,794 42,427 2,377 1,969 2,125 1,774 5.5 4.6 5.0 4.2

Chambersburg-Waynesboro. . . . . . . . . . . 76,411 78,511 75,941 77,896 3,370 2,761 2,988 2,579 4.4 3.5 3.9 3.3

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . 82,107 82,587 81,427 82,089 5,082 4,244 4,715 3,954 6.2 5.1 5.8 4.8

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129,415 130,447 128,865 129,372 7,533 5,846 6,825 5,483 5.8 4.5 5.3 4.2

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 55,466 55,457 54,939 55,109 2,141 1,838 1,808 1,537 3.9 3.3 3.3 2.8

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . 293,409 295,019 293,066 293,832 12,391 10,251 10,932 9,312 4.2 3.5 3.7 3.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . 58,601 58,946 58,400 58,677 3,535 2,986 3,142 2,754 6.0 5.1 5.4 4.7

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . 278,457 281,014 277,995 279,447 10,758 9,298 9,354 8,303 3.9 3.3 3.4 3.0

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70,787 71,490 70,370 71,143 3,070 2,637 2,682 2,384 4.3 3.7 3.8 3.4

Philadelphia-Camden-Wilmington. . . . . . . 3,077,765 3,117,401 3,067,552 3,115,297 145,846 126,196 133,934 115,743 4.7 4.0 4.4 3.7

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,199,459 1,207,204 1,196,991 1,209,136 61,253 51,662 54,886 47,057 5.1 4.3 4.6 3.9

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211,516 213,733 210,920 213,006 10,158 8,890 9,055 8,101 4.8 4.2 4.3 3.8

Scranton--Wilkes-Barre--Hazleton. . . . . . . 276,979 276,817 276,045 276,269 16,021 14,429 14,818 13,505 5.8 5.2 5.4 4.9

State College. . . . . . . . . . . . . . . . . . . . . . . . 80,106 83,004 80,117 82,757 3,004 2,522 2,485 2,242 3.8 3.0 3.1 2.7

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . 57,793 56,821 57,595 56,870 3,392 2,796 3,157 2,658 5.9 4.9 5.5 4.7

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . 233,292 234,059 232,762 233,538 10,239 8,563 9,041 7,686 4.4 3.7 3.9 3.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . 553,441 549,106 551,741 545,317 27,865 23,763 25,465 20,269 5.0 4.3 4.6 3.7

Providence-Warwick. . . . . . . . . . . . . . . . . . 687,459 685,597 686,273 681,634 35,176 29,793 32,162 26,047 5.1 4.3 4.7 3.8

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . 2,312,220 2,349,066 2,312,170 2,367,031 91,910 76,762 79,655 78,972 4.0 3.3 3.4 3.3

Charleston-North Charleston. . . . . . . . . . . 380,515 386,136 380,777 389,946 12,675 10,680 11,095 11,248 3.3 2.8 2.9 2.9

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . 398,427 400,511 397,712 403,765 15,138 12,100 13,260 12,696 3.8 3.0 3.3 3.1

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96,239 97,528 96,146 97,894 4,108 3,482 3,579 3,497 4.3 3.6 3.7 3.6

Greenville-Anderson-Mauldin. . . . . . . . . . . 425,325 431,779 425,595 433,433 15,105 12,551 13,195 13,163 3.6 2.9 3.1 3.0

Hilton Head Island-Bluffton-Beaufort. . . . 86,163 88,117 86,439 89,418 3,277 2,693 2,833 2,796 3.8 3.1 3.3 3.1

Myrtle Beach-Conway-North MyrtleBeach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191,932 197,016 193,782 202,842 10,828 9,840 8,902 9,188 5.6 5.0 4.6 4.5

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . 159,555 162,039 159,723 163,721 5,814 4,706 5,073 4,920 3.6 2.9 3.2 3.0

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44,172 44,793 44,009 44,985 2,067 1,619 1,824 1,713 4.7 3.6 4.1 3.8

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . 454,597 461,790 456,469 463,349 16,458 15,145 15,809 14,525 3.6 3.3 3.5 3.1

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,247 73,886 72,449 73,880 2,791 2,638 2,637 2,499 3.9 3.6 3.6 3.4

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . 151,006 155,438 150,942 155,584 4,699 4,407 4,550 4,218 3.1 2.8 3.0 2.7

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,232,664 3,299,396 3,236,419 3,331,549 121,427 104,160 115,544 110,812 3.8 3.2 3.6 3.3

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . 270,514 272,825 270,886 275,322 10,298 9,274 9,759 9,083 3.8 3.4 3.6 3.3

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . 114,013 116,277 114,692 117,977 5,026 4,431 4,865 4,705 4.4 3.8 4.2 4.0

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . 57,492 58,229 56,736 58,441 2,205 1,900 2,124 2,045 3.8 3.3 3.7 3.5

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63,732 64,810 63,951 65,617 2,630 2,117 2,481 2,277 4.1 3.3 3.9 3.5

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Tennessee - Continued

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . 92,129 92,778 92,043 93,784 3,756 3,217 3,513 3,417 4.1 3.5 3.8 3.6

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . 137,295 139,410 137,686 139,929 5,517 5,021 5,288 5,192 4.0 3.6 3.8 3.7

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 420,816 429,932 420,941 435,793 14,678 12,706 14,147 13,726 3.5 3.0 3.4 3.1

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . 632,023 638,861 631,969 642,004 27,206 24,209 26,244 25,346 4.3 3.8 4.2 3.9

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . 51,802 52,567 51,655 53,004 2,253 1,943 1,993 1,977 4.3 3.7 3.9 3.7

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,034,488 1,066,556 1,037,411 1,076,401 29,236 25,069 29,033 28,041 2.8 2.4 2.8 2.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,828,682 14,086,922 13,818,674 14,059,553 573,412 548,929 556,082 494,696 4.1 3.9 4.0 3.5

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77,062 77,799 77,116 77,725 2,703 2,613 2,644 2,451 3.5 3.4 3.4 3.2

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,777 133,479 132,704 133,197 3,807 3,830 3,843 3,609 2.9 2.9 2.9 2.7

Austin-Round Rock. . . . . . . . . . . . . . . . . . . 1,192,661 1,216,398 1,192,406 1,214,310 36,619 36,535 36,284 33,115 3.1 3.0 3.0 2.7

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . 177,667 178,580 175,983 177,150 12,053 10,605 11,411 9,336 6.8 5.9 6.5 5.3

Brownsville-Harlingen. . . . . . . . . . . . . . . . . 167,557 167,429 167,777 166,945 11,169 10,505 10,679 9,100 6.7 6.3 6.4 5.5

College Station-Bryan. . . . . . . . . . . . . . . . . 133,755 137,109 134,170 136,827 4,077 4,078 3,982 3,700 3.0 3.0 3.0 2.7

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . 210,345 211,320 210,314 209,595 11,550 10,461 11,133 9,272 5.5 5.0 5.3 4.4

Dallas-Fort Worth-Arlington. . . . . . . . . . . . 3,883,436 3,980,401 3,871,473 3,977,057 143,732 143,676 141,507 131,305 3.7 3.6 3.7 3.3

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363,019 366,739 360,702 364,721 16,389 15,866 15,777 14,169 4.5 4.3 4.4 3.9

Houston-The Woodlands-Sugar Land. . . 3,393,747 3,447,188 3,385,539 3,434,142 160,361 144,470 152,210 128,713 4.7 4.2 4.5 3.7

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . 176,587 179,473 175,427 178,422 7,406 7,620 7,205 6,750 4.2 4.2 4.1 3.8

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116,549 119,029 116,428 118,470 4,615 5,027 4,517 4,481 4.0 4.2 3.9 3.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 97,750 98,490 98,326 97,309 4,431 4,020 4,222 3,676 4.5 4.1 4.3 3.8

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162,413 164,331 162,854 164,347 5,157 5,055 5,619 5,108 3.2 3.1 3.5 3.1

McAllen-Edinburg-Mission. . . . . . . . . . . . . 351,358 357,323 352,540 355,777 24,880 23,950 23,655 20,265 7.1 6.7 6.7 5.7

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101,858 107,549 102,325 107,250 2,386 2,410 2,318 2,223 2.3 2.2 2.3 2.1

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83,241 87,261 83,752 86,780 2,550 2,362 2,443 2,148 3.1 2.7 2.9 2.5

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . 55,741 56,619 55,778 56,146 1,818 1,889 1,801 1,715 3.3 3.3 3.2 3.1

San Antonio-New Braunfels. . . . . . . . . . . . 1,186,384 1,209,287 1,186,087 1,208,355 41,249 41,465 40,240 37,577 3.5 3.4 3.4 3.1

Sherman-Denison. . . . . . . . . . . . . . . . . . . . 63,116 64,686 62,920 64,611 2,189 2,126 2,164 1,970 3.5 3.3 3.4 3.0

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . 64,438 65,532 64,557 65,067 3,152 3,451 2,986 2,903 4.9 5.3 4.6 4.5

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106,504 108,688 106,346 108,262 4,079 4,031 3,936 3,645 3.8 3.7 3.7 3.4

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46,645 47,075 46,629 46,697 1,974 1,756 1,900 1,614 4.2 3.7 4.1 3.5

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125,199 127,094 125,154 126,423 4,712 4,627 4,593 4,287 3.8 3.6 3.7 3.4

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . 66,048 66,533 65,947 66,343 2,315 2,337 2,368 2,110 3.5 3.5 3.6 3.2

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,563,401 1,584,005 1,562,912 1,585,179 52,933 48,683 51,270 47,619 3.4 3.1 3.3 3.0

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69,996 70,999 70,211 71,290 2,032 1,949 1,941 1,807 2.9 2.7 2.8 2.5

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . 323,851 327,935 323,847 328,643 11,115 10,149 10,730 9,861 3.4 3.1 3.3 3.0

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . 304,710 310,762 304,170 310,349 9,250 8,597 8,891 8,490 3.0 2.8 2.9 2.7

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . 72,706 75,206 73,165 75,448 2,645 2,546 2,595 2,388 3.6 3.4 3.5 3.2

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . 649,499 655,290 646,825 653,688 21,121 19,571 20,934 19,482 3.3 3.0 3.2 3.0

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 346,363 345,774 346,762 345,226 10,919 8,668 10,833 8,088 3.2 2.5 3.1 2.3

Burlington-South Burlington. . . . . . . . . . . . 125,675 125,797 125,702 125,874 2,920 2,259 2,990 2,226 2.3 1.8 2.4 1.8

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,322,765 4,366,696 4,336,468 4,373,984 147,068 139,324 138,404 133,136 3.4 3.2 3.2 3.0

Blacksburg-Christiansburg-Radford. . . . . 90,922 91,144 91,720 91,087 3,158 3,035 2,987 2,874 3.5 3.3 3.3 3.2

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . 119,906 121,050 120,316 120,810 3,626 3,455 3,455 3,350 3.0 2.9 2.9 2.8

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . 65,998 67,324 65,569 66,255 2,170 2,094 2,072 1,976 3.3 3.1 3.2 3.0

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . 121,712 123,411 121,928 123,558 4,876 4,429 4,545 4,301 4.0 3.6 3.7 3.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . 675,560 680,998 676,398 680,912 24,303 22,638 22,822 21,713 3.6 3.3 3.4 3.2

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156,295 158,200 157,105 159,111 5,406 4,934 5,073 4,774 3.5 3.1 3.2 3.0

Staunton-Waynesboro. . . . . . . . . . . . . . . . . 59,084 60,234 59,189 60,303 1,907 1,748 1,792 1,742 3.2 2.9 3.0 2.9

Virginia Beach-Norfolk-Newport News. . . 847,202 852,051 853,309 855,487 31,400 30,332 29,218 28,665 3.7 3.6 3.4 3.4

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . 71,949 72,866 71,633 72,877 2,538 2,371 2,276 2,215 3.5 3.3 3.2 3.0

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,767,711 3,879,775 3,770,820 3,893,261 198,256 203,229 181,793 201,706 5.3 5.2 4.8 5.2

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . 110,390 115,977 111,313 115,560 6,208 6,850 5,641 6,066 5.6 5.9 5.1 5.2

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . 121,730 126,927 122,140 126,601 6,632 6,752 6,148 6,625 5.4 5.3 5.0 5.2

Kennewick-Richland. . . . . . . . . . . . . . . . . . 136,257 143,379 138,169 144,777 9,715 10,736 8,706 10,251 7.1 7.5 6.3 7.1

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,604 46,820 45,801 47,028 3,175 3,095 3,003 3,162 7.0 6.6 6.6 6.7

Mount Vernon-Anacortes. . . . . . . . . . . . . . 58,890 61,717 59,169 61,819 3,686 4,200 3,319 3,636 6.3 6.8 5.6 5.9

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . 137,065 142,540 137,266 142,766 7,638 7,813 7,033 7,638 5.6 5.5 5.1 5.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . 2,117,935 2,163,681 2,111,285 2,171,580 89,364 88,906 82,880 89,628 4.2 4.1 3.9 4.1

Spokane-Spokane Valley. . . . . . . . . . . . . . 266,365 278,638 266,645 279,026 18,272 18,109 16,403 18,971 6.9 6.5 6.2 6.8

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . 29,978 31,661 30,332 31,982 1,846 1,909 1,623 1,947 6.2 6.0 5.4 6.1

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . 62,047 64,500 63,443 65,048 4,240 4,544 3,817 4,273 6.8 7.0 6.0 6.6

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123,875 129,228 125,271 130,937 10,356 12,733 9,222 12,056 8.4 9.9 7.4 9.2

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . 781,287 789,122 776,686 783,453 51,009 48,352 47,142 41,200 6.5 6.1 6.1 5.3

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45,015 45,083 44,572 44,763 3,181 2,887 3,060 2,497 7.1 6.4 6.9 5.6

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,349 92,163 93,068 91,491 6,056 5,527 5,860 4,728 6.5 6.0 6.3 5.2

Huntington-Ashland. . . . . . . . . . . . . . . . . . . 145,763 144,386 145,822 144,577 9,473 8,454 8,811 7,611 6.5 5.9 6.0 5.3

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . 69,313 68,711 68,783 68,046 3,468 3,308 3,216 2,829 5.0 4.8 4.7 4.2

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . 38,143 38,215 37,701 37,838 2,737 2,649 2,373 2,181 7.2 6.9 6.3 5.8

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . 64,681 68,388 64,676 68,112 4,516 4,324 4,111 3,757 7.0 6.3 6.4 5.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,143,901 3,118,580 3,135,185 3,120,692 118,147 104,005 111,906 102,631 3.8 3.3 3.6 3.3

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132,008 130,137 131,522 130,369 4,416 3,760 4,241 3,704 3.3 2.9 3.2 2.8

See footnotes at end of table.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 1. Civilian labor force and unemployment by state and metropolitan area — Continued

State and area

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

Wisconsin - Continued

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . 93,541 93,064 93,572 93,119 3,450 3,261 3,345 3,173 3.7 3.5 3.6 3.4

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . 57,468 57,204 57,473 57,790 1,917 1,631 1,750 1,614 3.3 2.9 3.0 2.8

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . 175,945 176,058 175,361 176,099 6,399 5,361 5,929 5,293 3.6 3.0 3.4 3.0

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . 85,385 85,595 85,416 85,878 3,477 3,058 3,275 3,076 4.1 3.6 3.8 3.6

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . 79,293 78,779 77,767 78,924 2,715 2,421 2,528 2,431 3.4 3.1 3.3 3.1

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389,424 386,797 388,362 387,143 10,846 9,358 10,346 9,439 2.8 2.4 2.7 2.4

Milwaukee-Waukesha-West Allis. . . . . . . 831,960 829,157 829,008 825,948 30,004 26,303 29,006 26,464 3.6 3.2 3.5 3.2

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . 93,896 92,877 93,471 93,084 2,957 2,440 2,836 2,501 3.1 2.6 3.0 2.7

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100,117 99,469 99,774 99,500 4,469 3,964 4,157 3,920 4.5 4.0 4.2 3.9

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . 62,621 62,311 62,528 62,557 1,889 1,574 1,804 1,614 3.0 2.5 2.9 2.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74,412 73,933 74,481 74,483 2,463 2,095 2,438 2,114 3.3 2.8 3.3 2.8

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287,190 287,199 288,281 287,800 12,971 10,977 12,764 10,915 4.5 3.8 4.4 3.8

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39,105 39,397 39,340 39,527 2,043 1,645 1,906 1,595 5.2 4.2 4.8 4.0

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . 47,763 47,854 48,029 48,261 2,012 1,641 1,904 1,741 4.2 3.4 4.0 3.6

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,080,833 1,071,130 1,080,951 1,066,612 108,362 95,466 105,882 98,451 10.0 8.9 9.8 9.2

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . 86,438 85,686 86,628 85,571 11,900 10,591 11,646 10,929 13.8 12.4 13.4 12.8

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51,423 52,006 51,380 51,642 6,560 6,048 6,308 6,212 12.8 11.6 12.3 12.0

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . 20,075 20,122 20,129 19,995 3,251 2,961 3,163 3,014 16.2 14.7 15.7 15.1

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . 27,201 27,193 27,296 27,077 3,077 2,939 3,049 2,988 11.3 10.8 11.2 11.0

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91,265 90,859 91,727 90,690 11,339 11,461 11,293 11,907 12.4 12.6 12.3 13.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . 34,165 34,845 34,534 34,806 4,536 3,998 4,569 4,151 13.3 11.5 13.2 11.9

San Juan-Carolina-Caguas. . . . . . . . . . . . 727,759 718,472 726,519 714,805 61,400 51,861 59,661 53,342 8.4 7.2 8.2 7.5

1 For operational reasons, these interstate areas are listed under the state that accounts for the larger share of the population, which is different from the state that contains the first principal city.2 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 ofManagement and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are MetropolitanNew 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 firstprincipal city, unless otherwise footnoted. Estimates for the latest month are subject to revision the following month.

LABOR FORCE DATANOT SEASONALLY ADJUSTEDTable 2. Civilian labor force and unemployment by state, selected metropolitan area, and metropolitandivision1

State, area, and division

Civilian labor force Unemployed

February March Number Percent of labor force

2018 2019 2018 2019pFebruary March February March

2018 2019 2018 2019p 2018 2019 2018 2019p

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . 19,343,020 19,596,296 19,328,608 19,512,568 887,199 867,268 859,783 901,547 4.6 4.4 4.4 4.6

Los Angeles-Long Beach-Anaheim. . . 6,768,038 6,779,565 6,758,321 6,747,032 290,401 269,590 278,128 276,133 4.3 4.0 4.1 4.1

Anaheim-Santa Ana-Irvine. . . . . . . . . 1,624,709 1,638,991 1,623,642 1,631,463 50,262 49,456 47,909 52,742 3.1 3.0 3.0 3.2

Los Angeles-LongBeach-Glendale. . . . . . . . . . . . . . . . 5,143,329 5,140,574 5,134,679 5,115,569 240,139 220,134 230,219 223,391 4.7 4.3 4.5 4.4

San Francisco-Oakland-Hayward. . . . . 2,565,305 2,629,126 2,570,413 2,620,786 75,234 73,947 72,265 78,453 2.9 2.8 2.8 3.0

Oakland-Hayward-Berkeley. . . . . . . . 1,405,992 1,431,672 1,408,558 1,428,160 46,322 45,934 44,457 48,513 3.3 3.2 3.2 3.4

San Francisco-Redwood City-SouthSan Francisco. . . . . . . . . . . . . . . . . 1,019,293 1,054,978 1,021,870 1,050,617 25,367 24,496 24,405 26,159 2.5 2.3 2.4 2.5

San Rafael. . . . . . . . . . . . . . . . . . . . . . 140,020 142,476 139,985 142,009 3,545 3,517 3,403 3,781 2.5 2.5 2.4 2.7

District of Columbia. . . . . . . . . . . . . . . . . . . 406,696 407,959 406,065 410,230 24,123 24,520 23,191 22,814 5.9 6.0 5.7 5.6

Washington-Arlington-Alexandria2. . . . 3,389,423 3,412,017 3,393,699 3,421,626 124,482 119,665 117,932 113,347 3.7 3.5 3.5 3.3

Silver Spring-Frederick-Rockville3.. . 685,614 686,312 686,940 684,827 24,952 23,757 23,251 22,277 3.6 3.5 3.4 3.3

Washington-Arlington-Alexandria2.. . 2,703,809 2,725,705 2,706,759 2,736,799 99,530 95,908 94,681 91,070 3.7 3.5 3.5 3.3

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10,187,885 10,366,434 10,202,284 10,314,179 386,033 354,790 373,111 337,962 3.8 3.4 3.7 3.3

Miami-Fort Lauderdale-West PalmBeach. . . . . . . . . . . . . . . . . . . . . . . . . . 3,151,034 3,220,948 3,135,419 3,183,755 120,523 106,109 120,051 103,894 3.8 3.3 3.8 3.3

Fort Lauderdale-PompanoBeach-Deerfield Beach. . . . . . . . . 1,027,996 1,040,315 1,031,539 1,033,300 37,177 34,607 35,664 32,081 3.6 3.3 3.5 3.1

Miami-Miami Beach-Kendall. . . . . . . 1,391,643 1,440,202 1,370,087 1,409,438 56,085 46,147 58,407 47,946 4.0 3.2 4.3 3.4

West Palm Beach-BocaRaton-Delray Beach. . . . . . . . . . . . 731,395 740,431 733,793 741,017 27,261 25,355 25,980 23,867 3.7 3.4 3.5 3.2

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,477,500 6,455,651 6,467,723 6,470,975 316,539 302,523 281,008 289,991 4.9 4.7 4.3 4.5

Chicago-Naperville-Elgin2. . . . . . . . . . . 4,887,130 4,873,577 4,868,194 4,889,415 232,517 210,843 200,658 201,196 4.8 4.3 4.1 4.1

Chicago-Naperville-ArlingtonHeights. . . . . . . . . . . . . . . . . . . . . . . 3,756,090 3,729,095 3,732,796 3,739,527 173,794 147,377 143,752 133,456 4.6 4.0 3.9 3.6

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 326,842 330,044 328,624 329,903 17,471 19,516 17,086 19,965 5.3 5.9 5.2 6.1

Gary3. . . . . . . . . . . . . . . . . . . . . . . . . . . 340,046 345,899 341,634 350,815 18,065 19,012 17,259 22,039 5.3 5.5 5.1 6.3

Lake County-Kenosha County2. . . . 464,152 468,539 465,140 469,170 23,187 24,938 22,561 25,736 5.0 5.3 4.9 5.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . 3,759,467 3,833,572 3,775,360 3,834,050 151,670 122,600 141,652 119,430 4.0 3.2 3.8 3.1

Boston-Cambridge-Nashua2. . . . . . . . . 2,783,408 2,835,612 2,796,606 2,841,453 98,227 78,993 92,321 78,043 3.5 2.8 3.3 2.7

Boston-Cambridge-Newton. . . . . . . . 1,658,601 1,694,318 1,666,532 1,698,501 53,866 42,503 50,586 42,497 3.2 2.5 3.0 2.5

Brockton-Bridgewater-Easton. . . . . . 110,439 112,643 110,882 112,581 4,735 3,848 4,472 3,684 4.3 3.4 4.0 3.3

Framingham. . . . . . . . . . . . . . . . . . . . . 162,228 164,491 162,970 164,606 5,411 4,368 5,066 4,337 3.3 2.7 3.1 2.6

Haverhill-Newburyport-AmesburyTown2. . . . . . . . . . . . . . . . . . . . . . . . 116,467 118,111 117,170 118,310 4,456 3,823 4,164 3,743 3.8 3.2 3.6 3.2

Lawrence-Methuen Town-Salem2. . . 99,509 99,257 99,984 99,664 5,248 4,241 5,052 4,069 5.3 4.3 5.1 4.1

Lowell-Billerica-Chelmsford2. . . . . . . 195,751 199,012 196,431 199,130 7,639 6,192 7,220 6,023 3.9 3.1 3.7 3.0

Lynn-Saugus-Marblehead. . . . . . . . . 86,512 87,603 86,813 87,771 3,264 2,721 3,035 2,677 3.8 3.1 3.5 3.0

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . 172,839 176,196 173,945 176,783 6,215 5,456 5,910 5,351 3.6 3.1 3.4 3.0

Peabody-Salem-Beverly. . . . . . . . . . . 94,414 96,076 94,713 96,154 3,409 2,664 3,193 2,640 3.6 2.8 3.4 2.7

Taunton-Middleborough-Norton. . . . 86,648 87,905 87,166 87,953 3,984 3,177 3,623 3,022 4.6 3.6 4.2 3.4

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,902,969 4,938,198 4,899,905 4,948,184 241,250 202,232 222,478 219,633 4.9 4.1 4.5 4.4

Detroit-Warren-Dearborn. . . . . . . . . . . . 2,120,181 2,145,756 2,123,735 2,155,586 98,755 86,377 93,515 95,921 4.7 4.0 4.4 4.4

Detroit-Dearborn-Livonia. . . . . . . . . . 792,558 800,364 792,800 805,438 44,056 37,702 41,242 41,184 5.6 4.7 5.2 5.1

Warren-Troy-Farmington Hills. . . . . . 1,327,622 1,345,393 1,330,935 1,350,147 54,698 48,676 52,273 54,737 4.1 3.6 3.9 4.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . 9,562,886 9,556,617 9,554,320 9,593,646 484,589 418,851 436,236 394,615 5.1 4.4 4.6 4.1

New York-Newark-Jersey City2. . . . . . 9,943,751 9,948,485 9,933,424 9,972,978 467,383 429,258 428,187 393,845 4.7 4.3 4.3 3.9

Dutchess County-Putnam County.. . 193,107 194,978 193,196 196,855 9,077 7,250 7,915 6,940 4.7 3.7 4.1 3.5

Nassau County-Suffolk County. . . . . 1,461,971 1,474,461 1,471,075 1,488,991 69,724 54,897 61,173 52,182 4.8 3.7 4.2 3.5

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . 1,226,848 1,231,260 1,220,828 1,227,940 59,983 56,585 55,809 50,586 4.9 4.6 4.6 4.1

New York-Jersey City-WhitePlains2. . . . . . . . . . . . . . . . . . . . . . . . 7,061,825 7,047,786 7,048,325 7,059,192 328,599 310,526 303,290 284,137 4.7 4.4 4.3 4.0

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . 6,398,071 6,461,939 6,376,939 6,449,716 319,905 270,966 288,596 249,391 5.0 4.2 4.5 3.9

Philadelphia-Camden-Wilmington2. . . . 3,077,765 3,117,401 3,067,552 3,115,297 145,846 126,196 133,934 115,743 4.7 4.0 4.4 3.7

Camden3. . . . . . . . . . . . . . . . . . . . . . . . 631,077 630,323 627,669 629,104 30,818 29,802 28,419 26,002 4.9 4.7 4.5 4.1

Montgomery County-BucksCounty-Chester County. . . . . . . . . 1,061,633 1,078,886 1,059,331 1,079,109 41,814 35,937 37,586 32,908 3.9 3.3 3.5 3.0

Philadelphia. . . . . . . . . . . . . . . . . . . . . 1,003,172 1,022,939 998,461 1,020,786 56,229 46,494 52,141 43,612 5.6 4.5 5.2 4.3

Wilmington3. . . . . . . . . . . . . . . . . . . . . 381,883 385,253 382,091 386,298 16,985 13,963 15,788 13,221 4.4 3.6 4.1 3.4

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13,828,682 14,086,922 13,818,674 14,059,553 573,412 548,929 556,082 494,696 4.1 3.9 4.0 3.5

Dallas-Fort Worth-Arlington. . . . . . . . . . 3,883,436 3,980,401 3,871,473 3,977,057 143,732 143,676 141,507 131,305 3.7 3.6 3.7 3.3

Dallas-Plano-Irving. . . . . . . . . . . . . . . 2,620,108 2,695,296 2,610,796 2,690,991 97,496 97,418 95,812 88,478 3.7 3.6 3.7 3.3

Fort Worth-Arlington. . . . . . . . . . . . . . 1,263,328 1,285,105 1,260,677 1,286,066 46,236 46,258 45,695 42,827 3.7 3.6 3.6 3.3

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . 3,767,711 3,879,775 3,770,820 3,893,261 198,256 203,229 181,793 201,706 5.3 5.2 4.8 5.2

Seattle-Tacoma-Bellevue. . . . . . . . . . . . 2,117,935 2,163,681 2,111,285 2,171,580 89,364 88,906 82,880 89,628 4.2 4.1 3.9 4.1

Seattle-Bellevue-Everett. . . . . . . . . . . 1,696,928 1,730,346 1,689,893 1,734,374 64,023 62,864 59,255 64,495 3.8 3.6 3.5 3.7

Tacoma-Lakewood. . . . . . . . . . . . . . . 421,007 433,335 421,392 437,206 25,341 26,042 23,625 25,133 6.0 6.0 5.6 5.7

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. 18-03, dated April 10, 2018, and are available on the BLS website at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based. Some metropolitan areas lie in two or more states. They are listed under the state containing the first principal city. Metropolitan divisions are listed under their metropolitan areas. Some divisions lie in more than one state, and some, like Camden, NJ, are totally outside the states under which their metropolitan areas are listed. For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Alabama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,018.5 2,053.9 2,029.9 2,063.1 33.2 1.6

Anniston-Oxford-Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.0 46.8 47.2 47.0 -0.2 -0.4

Auburn-Opelika. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.5 66.5 64.6 66.6 2.0 3.1

Birmingham-Hoover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533.0 541.0 535.0 543.9 8.9 1.7

Daphne-Fairhope-Foley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74.2 76.3 76.6 78.7 2.1 2.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 56.1 54.7 56.5 1.8 3.3

Dothan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.1 58.6 58.2 59.1 0.9 1.5

Florence-Muscle Shoals. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 56.3 56.8 57.0 0.2 0.4

Gadsden. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.7 38.1 38.1 38.7 0.6 1.6

Huntsville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.1 240.3 236.4 241.0 4.6 1.9

Mobile. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.9 184.8 184.0 186.0 2.0 1.1

Montgomery. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175.6 177.0 176.2 177.4 1.2 0.7

Tuscaloosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.8 112.0 108.9 112.1 3.2 2.9

Alaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.7 317.7 316.3 319.9 3.6 1.1

Anchorage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.4 170.4 172.1 171.3 -0.8 -0.5

Fairbanks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.4 35.8 36.7 36.3 -0.4 -1.1

Arizona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,839.4 2,912.5 2,850.6 2,918.8 68.2 2.4

Flagstaff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.2 67.0 67.2 67.3 0.1 0.1

Lake Havasu City-Kingman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.3 51.7 50.7 51.6 0.9 1.8

Phoenix-Mesa-Scottsdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,093.2 2,155.4 2,101.2 2,159.7 58.5 2.8

Prescott. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.7 65.4 65.4 65.8 0.4 0.6

Sierra Vista-Douglas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.5 33.2 33.6 33.6 0.0 0.0

Tucson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382.8 388.1 383.0 388.2 5.2 1.4

Yuma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.7 58.0 56.8 58.0 1.2 2.1

Arkansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,253.1 1,264.7 1,260.2 1,270.1 9.9 0.8

Fayetteville-Springdale-Rogers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.0 261.4 258.2 262.9 4.7 1.8

Fort Smith. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.3 113.0 113.8 112.9 -0.9 -0.8

Hot Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.5 38.9 38.9 39.4 0.5 1.3

Jonesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 58.7 58.2 59.0 0.8 1.4

Little Rock-North Little Rock-Conway. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357.5 361.1 359.2 362.9 3.7 1.0

Pine Bluff. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.2 33.1 33.2 33.3 0.1 0.3

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,008.0 17,243.0 17,059.7 17,313.9 254.2 1.5

Bakersfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.1 270.3 264.6 270.8 6.2 2.3

Chico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.2 83.2 82.4 84.0 1.6 1.9

El Centro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.9 52.3 52.3 52.5 0.2 0.4

Fresno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347.3 360.6 350.1 363.6 13.5 3.9

Hanford-Corcoran. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 40.5 40.4 40.4 0.0 0.0

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,128.2 6,174.2 6,140.8 6,192.7 51.9 0.8

Madera. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.0 38.8 38.1 38.8 0.7 1.8

Merced. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.5 68.2 69.6 1.4 2.1

Modesto. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 176.4 176.9 176.8 177.6 0.8 0.5

Napa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.9 73.4 73.2 73.6 0.4 0.5

Oxnard-Thousand Oaks-Ventura. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.2 310.2 307.7 310.5 2.8 0.9

Redding. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.5 66.2 66.3 66.3 0.0 0.0

Riverside-San Bernardino-Ontario. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,488.6 1,508.9 1,494.2 1,514.8 20.6 1.4

Sacramento--Roseville--Arden-Arcade. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 984.1 1,012.4 985.9 1,013.9 28.0 2.8

Salinas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.7 144.8 141.1 145.1 4.0 2.8

San Diego-Carlsbad. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,469.9 1,489.7 1,473.9 1,494.0 20.1 1.4

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,406.4 2,465.9 2,416.9 2,478.9 62.0 2.6

San Jose-Sunnyvale-Santa Clara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,110.1 1,134.2 1,113.0 1,142.2 29.2 2.6

San Luis Obispo-Paso Robles-Arroyo Grande. . . . . . . . . . . . . . . . . . . . . . . . . . 117.1 117.9 117.5 118.5 1.0 0.9

Santa Cruz-Watsonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.7 103.3 102.2 103.7 1.5 1.5

Santa Maria-Santa Barbara. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.7 187.0 182.7 187.7 5.0 2.7

Santa Rosa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205.9 205.9 206.0 206.9 0.9 0.4

Stockton-Lodi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.8 239.6 237.9 239.3 1.4 0.6

Vallejo-Fairfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 139.5 139.6 139.7 140.1 0.4 0.3

Visalia-Porterville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 125.7 126.9 126.4 127.6 1.2 0.9

Yuba City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.4 44.2 43.7 44.9 1.2 2.7

Colorado. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,679.8 2,729.4 2,696.4 2,745.9 49.5 1.8

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Colorado - Continued

Boulder. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.0 197.6 192.8 198.6 5.8 3.0

Colorado Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286.9 291.4 288.7 294.0 5.3 1.8

Denver-Aurora-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,471.0 1,497.6 1,480.4 1,503.7 23.3 1.6

Fort Collins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.6 171.0 167.0 172.3 5.3 3.2

Grand Junction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 64.3 63.4 64.8 1.4 2.2

Greeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107.1 110.3 107.8 111.1 3.3 3.1

Pueblo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 62.2 62.8 62.7 -0.1 -0.2

Connecticut. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,664.6 1,670.1 1,667.4 1,672.9 5.5 0.3

Bridgeport-Stamford-Norwalk. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 400.5 400.5 401.8 401.0 -0.8 -0.2

Danbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.3 76.4 76.5 77.1 0.6 0.8

Hartford-West Hartford-East Hartford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 574.9 576.2 576.0 578.4 2.4 0.4

New Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 282.8 284.4 281.4 283.1 1.7 0.6

Norwich-New London-Westerly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.9 126.8 127.3 127.8 0.5 0.4

Waterbury. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.6 68.1 68.4 68.7 0.3 0.4

Delaware. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 450.8 456.7 454.2 459.3 5.1 1.1

Dover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.5 69.6 69.1 69.6 0.5 0.7

Salisbury1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151.9 155.8 154.7 158.2 3.5 2.3

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787.9 791.3 791.2 794.0 2.8 0.4

Washington-Arlington-Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,268.9 3,289.8 3,278.8 3,308.3 29.5 0.9

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,735.2 8,940.5 8,776.2 8,986.4 210.2 2.4

Cape Coral-Fort Myers. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 274.0 283.2 274.9 283.4 8.5 3.1

Crestview-Fort Walton Beach-Destin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.4 115.9 115.4 117.2 1.8 1.6

Deltona-Daytona Beach-Ormond Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.9 207.1 204.9 206.7 1.8 0.9

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.0 148.1 146.4 147.9 1.5 1.0

Homosassa Springs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33.3 33.8 33.6 34.2 0.6 1.8

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 704.1 711.3 707.8 714.8 7.0 1.0

Lakeland-Winter Haven. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224.5 232.1 225.8 233.5 7.7 3.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,672.1 2,729.1 2,680.2 2,735.7 55.5 2.1

Naples-Immokalee-Marco Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.2 157.1 153.6 156.7 3.1 2.0

North Port-Sarasota-Bradenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309.4 311.1 311.4 314.0 2.6 0.8

Ocala. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.1 106.5 103.8 106.8 3.0 2.9

Orlando-Kissimmee-Sanford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,279.9 1,329.3 1,287.5 1,334.9 47.4 3.7

Palm Bay-Melbourne-Titusville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 220.7 229.8 222.7 230.1 7.4 3.3

Panama City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.1 81.8 84.8 83.8 -1.0 -1.2

Pensacola-Ferry Pass-Brent. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 178.6 183.0 180.1 183.3 3.2 1.8

Port St. Lucie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.7 155.4 151.7 156.3 4.6 3.0

Punta Gorda. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.2 50.7 49.6 51.2 1.6 3.2

Sebastian-Vero Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.6 55.2 53.6 55.5 1.9 3.5

Sebring. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 26.4 26.6 26.6 0.0 0.0

Tallahassee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.8 189.1 184.5 190.2 5.7 3.1

Tampa-St. Petersburg-Clearwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,343.8 1,368.3 1,349.0 1,378.6 29.6 2.2

The Villages. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30.1 30.8 30.2 30.9 0.7 2.3

Georgia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,476.8 4,575.2 4,504.2 4,589.4 85.2 1.9

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 63.0 62.7 63.1 0.4 0.6

Athens-Clarke County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.8 98.2 97.9 98.4 0.5 0.5

Atlanta-Sandy Springs-Roswell. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,743.0 2,807.3 2,759.3 2,819.6 60.3 2.2

Augusta-Richmond County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 239.0 244.2 240.6 244.2 3.6 1.5

Brunswick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.0 44.8 44.5 45.2 0.7 1.6

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121.5 122.8 122.5 123.5 1.0 0.8

Dalton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.7 68.7 66.8 69.0 2.2 3.3

Gainesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.9 94.6 91.4 94.9 3.5 3.8

Hinesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20.6 20.8 20.6 21.0 0.4 1.9

Macon-Bibb County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.5 103.5 102.9 103.8 0.9 0.9

Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.4 41.9 41.6 42.3 0.7 1.7

Savannah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181.8 184.7 184.6 184.5 -0.1 -0.1

Valdosta. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55.5 56.7 56.1 57.2 1.1 2.0

Warner Robins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.2 76.6 75.4 77.0 1.6 2.1

Hawaii. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 656.4 660.3 659.4 660.3 0.9 0.1

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Hawaii - Continued

Kahului-Wailuku-Lahaina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76.8 77.6 77.9 78.1 0.2 0.3

Urban Honolulu. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 478.0 483.0 479.9 482.5 2.6 0.5

Idaho. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 720.0 737.4 725.1 742.6 17.5 2.4

Boise City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 323.6 336.0 327.1 339.0 11.9 3.6

Coeur d’Alene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.7 64.4 63.2 65.1 1.9 3.0

Idaho Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.9 68.5 66.2 68.8 2.6 3.9

Lewiston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28.3 28.4 28.3 28.3 0.0 0.0

Pocatello. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.0 36.9 36.3 37.0 0.7 1.9

Twin Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.1 46.0 46.4 0.4 0.9

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,994.6 6,059.0 6,046.8 6,087.0 40.2 0.7

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.1 91.6 93.3 91.7 -1.6 -1.7

Carbondale-Marion. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.3 58.5 57.4 59.1 1.7 3.0

Champaign-Urbana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.2 111.0 112.5 111.9 -0.6 -0.5

Chicago-Naperville-Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,636.6 4,700.0 4,678.3 4,718.2 39.9 0.9

Danville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.6 27.3 27.8 27.5 -0.3 -1.1

Davenport-Moline-Rock Island1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 182.0 183.4 183.8 185.1 1.3 0.7

Decatur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51.2 51.1 51.3 51.1 -0.2 -0.4

Kankakee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.7 45.5 45.2 46.0 0.8 1.8

Peoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168.9 172.9 171.5 174.3 2.8 1.6

Rockford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150.5 151.4 151.4 151.9 0.5 0.3

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.2 112.0 113.3 112.9 -0.4 -0.4

Indiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,098.4 3,134.8 3,120.7 3,156.4 35.7 1.1

Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.3 79.0 78.8 78.6 -0.2 -0.3

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.1 53.8 52.7 54.4 1.7 3.2

Elkhart-Goshen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.5 141.6 142.2 142.2 0.0 0.0

Evansville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.8 162.8 161.3 163.5 2.2 1.4

Fort Wayne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221.3 224.8 222.2 225.7 3.5 1.6

Indianapolis-Carmel-Anderson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,052.5 1,063.3 1,062.0 1,073.9 11.9 1.1

Kokomo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.3 41.2 40.6 41.3 0.7 1.7

Lafayette-West Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105.2 104.9 105.3 104.6 -0.7 -0.7

Michigan City-La Porte. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.9 40.4 41.2 40.6 -0.6 -1.5

Muncie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.5 51.1 51.1 51.2 0.1 0.2

South Bend-Mishawaka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.1 143.4 143.1 144.2 1.1 0.8

Terre Haute. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.1 70.2 70.5 70.3 -0.2 -0.3

Iowa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,558.1 1,564.9 1,563.8 1,568.0 4.2 0.3

Ames. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.6 55.3 54.3 55.3 1.0 1.8

Cedar Rapids. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143.1 142.3 143.6 142.5 -1.1 -0.8

Des Moines-West Des Moines. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 363.8 368.8 364.0 369.6 5.6 1.5

Dubuque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.5 60.2 59.9 60.7 0.8 1.3

Iowa City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101.5 99.9 101.8 100.4 -1.4 -1.4

Sioux City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.4 88.6 87.0 88.9 1.9 2.2

Waterloo-Cedar Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.1 91.4 91.1 91.4 0.3 0.3

Kansas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,403.0 1,410.0 1,405.4 1,410.7 5.3 0.4

Lawrence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.1 53.9 54.1 0.2 0.4

Manhattan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43.6 43.6 43.4 43.4 0.0 0.0

Topeka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111.1 112.0 111.7 113.0 1.3 1.2

Wichita. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295.4 300.5 296.0 300.7 4.7 1.6

Kentucky. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,903.6 1,925.9 1,914.5 1,932.0 17.5 0.9

Bowling Green. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.0 76.4 75.8 76.6 0.8 1.1

Elizabethtown-Fort Knox. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.5 56.3 56.9 0.6 1.1

Lexington-Fayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.8 274.9 273.4 275.4 2.0 0.7

Louisville/Jefferson County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 660.3 667.3 664.1 669.4 5.3 0.8

Owensboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.8 53.8 53.9 53.6 -0.3 -0.6

Louisiana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,965.5 1,973.1 1,982.8 1,981.1 -1.7 -0.1

Alexandria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.7 61.1 61.9 61.3 -0.6 -1.0

Baton Rouge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 406.6 409.6 412.6 411.9 -0.7 -0.2

Hammond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.5 45.5 45.7 0.2 0.4

Houma-Thibodaux. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.1 84.2 86.8 84.3 -2.5 -2.9

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Louisiana - Continued

Lafayette. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 200.8 203.9 203.0 204.4 1.4 0.7

Lake Charles. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116.5 116.9 118.2 117.9 -0.3 -0.3

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 78.3 78.6 78.6 0.0 0.0

New Orleans-Metairie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573.2 579.4 575.2 581.5 6.3 1.1

Shreveport-Bossier City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 180.2 179.1 181.1 179.2 -1.9 -1.0

Maine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609.0 612.8 610.3 613.2 2.9 0.5

Bangor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.9 66.5 66.6 66.9 0.3 0.5

Lewiston-Auburn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.2 50.2 50.3 50.4 0.1 0.2

Portland-South Portland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203.7 205.0 204.1 204.2 0.1 0.0

Maryland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,703.5 2,720.6 2,721.7 2,739.2 17.5 0.6

Baltimore-Columbia-Towson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,392.7 1,409.5 1,401.7 1,419.9 18.2 1.3

California-Lexington Park. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.2 45.7 45.5 46.0 0.5 1.1

Cumberland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.6 38.8 39.0 39.1 0.1 0.3

Hagerstown-Martinsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.9 104.3 104.1 105.5 1.4 1.3

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,573.3 3,595.1 3,586.0 3,610.3 24.3 0.7

Barnstable Town. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.6 96.7 96.7 97.9 1.2 1.2

Boston-Cambridge-Nashua. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,727.6 2,736.1 2,737.1 2,749.9 12.8 0.5

Leominster-Gardner. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.8 54.1 52.7 54.4 1.7 3.2

New Bedford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.0 66.1 65.4 66.6 1.2 1.8

Pittsfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.8 39.4 39.6 39.4 -0.2 -0.5

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331.0 337.8 332.1 338.2 6.1 1.8

Worcester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284.8 283.5 285.7 283.1 -2.6 -0.9

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,348.6 4,384.7 4,375.2 4,395.9 20.7 0.5

Ann Arbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 223.7 223.8 225.3 225.4 0.1 0.0

Battle Creek. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.4 58.1 57.8 58.0 0.2 0.3

Bay City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.8 34.8 34.8 34.6 -0.2 -0.6

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,997.6 2,013.6 2,010.4 2,022.0 11.6 0.6

Flint. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 138.9 140.4 139.5 141.3 1.8 1.3

Grand Rapids-Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557.3 567.1 560.9 567.2 6.3 1.1

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.5 58.3 58.4 58.6 0.2 0.3

Kalamazoo-Portage. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147.9 149.4 148.6 149.7 1.1 0.7

Lansing-East Lansing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237.1 236.2 237.5 236.6 -0.9 -0.4

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.3 37.3 37.6 37.3 -0.3 -0.8

Monroe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.9 41.7 41.4 42.0 0.6 1.4

Muskegon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.4 64.4 63.8 64.8 1.0 1.6

Niles-Benton Harbor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.7 60.6 61.7 61.5 -0.2 -0.3

Saginaw. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.4 86.8 87.0 87.0 0.0 0.0

Minnesota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,905.1 2,904.4 2,900.6 2,908.3 7.7 0.3

Duluth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 135.8 135.0 135.7 135.1 -0.6 -0.4

Mankato-North Mankato. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.8 57.8 57.8 58.0 0.2 0.3

Minneapolis-St. Paul-Bloomington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,983.5 1,974.0 1,976.4 1,976.3 -0.1 0.0

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.5 121.2 120.5 122.2 1.7 1.4

St. Cloud. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108.0 109.3 107.9 109.6 1.7 1.6

Mississippi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,146.3 1,155.2 1,151.8 1,158.8 7.0 0.6

Gulfport-Biloxi-Pascagoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152.8 156.1 155.1 157.4 2.3 1.5

Hattiesburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.0 67.3 64.9 67.4 2.5 3.9

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278.4 281.3 279.2 282.4 3.2 1.1

Missouri. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,845.7 2,863.9 2,866.4 2,881.2 14.8 0.5

Cape Girardeau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 45.0 44.3 45.3 1.0 2.3

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99.6 99.6 100.4 100.5 0.1 0.1

Jefferson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75.9 75.1 76.6 76.0 -0.6 -0.8

Joplin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.6 81.6 80.8 82.2 1.4 1.7

Kansas City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,079.9 1,085.8 1,083.9 1,093.7 9.8 0.9

St. Joseph. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.2 62.3 62.7 62.8 0.1 0.2

St. Louis2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,367.1 1,378.3 1,373.5 1,385.8 12.3 0.9

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212.4 218.0 213.7 220.2 6.5 3.0

Montana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.5 469.1 467.7 470.9 3.2 0.7

Billings. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83.2 83.6 84.0 83.9 -0.1 -0.1

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Montana - Continued

Great Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.2 35.6 35.4 35.7 0.3 0.8

Missoula. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.0 62.1 61.5 62.4 0.9 1.5

Nebraska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,007.1 1,010.4 1,013.8 1,012.5 -1.3 -0.1

Grand Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.8 41.7 42.2 41.9 -0.3 -0.7

Lincoln. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189.1 189.6 190.4 189.4 -1.0 -0.5

Omaha-Council Bluffs. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493.7 499.0 496.7 501.4 4.7 0.9

Nevada. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,359.1 1,407.1 1,368.7 1,413.0 44.3 3.2

Carson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29.9 30.6 29.8 30.7 0.9 3.0

Las Vegas-Henderson-Paradise. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 990.0 1,016.8 998.0 1,022.4 24.4 2.4

Reno. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 236.7 250.5 237.7 251.6 13.9 5.8

New Hampshire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671.1 678.6 671.1 677.8 6.7 1.0

Dover-Durham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.9 54.0 54.2 54.2 0.0 0.0

Manchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113.8 114.2 113.4 114.8 1.4 1.2

Portsmouth. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.6 91.4 90.4 90.9 0.5 0.6

New Jersey. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,070.7 4,105.8 4,087.5 4,134.4 46.9 1.1

Atlantic City-Hammonton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.1 130.5 124.6 131.8 7.2 5.8

Ocean City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34.1 36.0 35.0 37.0 2.0 5.7

Trenton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.8 272.7 266.2 275.7 9.5 3.6

Vineland-Bridgeton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57.9 58.7 58.2 59.4 1.2 2.1

New Mexico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 836.1 843.3 838.0 848.3 10.3 1.2

Albuquerque. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 390.0 392.1 390.9 393.7 2.8 0.7

Farmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48.3 47.8 48.4 47.9 -0.5 -1.0

Las Cruces. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73.6 74.1 74.0 74.3 0.3 0.4

Santa Fe. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.4 63.0 62.6 63.3 0.7 1.1

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,520.9 9,613.6 9,567.0 9,671.0 104.0 1.1

Albany-Schenectady-Troy. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465.6 470.8 466.3 472.9 6.6 1.4

Binghamton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.5 103.1 102.7 102.9 0.2 0.2

Buffalo-Cheektowaga-Niagara Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 554.3 556.0 556.2 559.2 3.0 0.5

Elmira. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36.5 36.5 36.7 36.7 0.0 0.0

Glens Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.9 53.7 52.5 53.5 1.0 1.9

Ithaca. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.2 66.4 65.2 66.4 1.2 1.8

Kingston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.5 62.4 62.0 63.0 1.0 1.6

New York-Newark-Jersey City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,671.0 9,789.1 9,722.6 9,845.9 123.3 1.3

Rochester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 532.9 535.0 533.9 535.9 2.0 0.4

Syracuse. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.6 320.6 315.3 321.0 5.7 1.8

Utica-Rome. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.8 126.4 127.0 126.7 -0.3 -0.2

Watertown-Fort Drum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.6 40.5 40.7 40.8 0.1 0.2

North Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,433.0 4,493.0 4,459.1 4,525.4 66.3 1.5

Asheville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.3 197.7 193.8 199.7 5.9 3.0

Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.3 61.9 62.6 62.6 0.0 0.0

Charlotte-Concord-Gastonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,187.1 1,211.3 1,194.8 1,224.0 29.2 2.4

Durham-Chapel Hill. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.5 315.6 314.1 316.7 2.6 0.8

Fayetteville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130.1 131.5 131.1 131.9 0.8 0.6

Goldsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.6 41.2 41.7 41.4 -0.3 -0.7

Greensboro-High Point. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 358.9 358.4 360.4 358.9 -1.5 -0.4

Greenville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.7 81.0 81.2 81.3 0.1 0.1

Hickory-Lenoir-Morganton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153.1 155.2 153.8 154.9 1.1 0.7

Jacksonville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.7 49.2 49.8 49.6 -0.2 -0.4

New Bern. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 44.2 44.5 44.5 0.0 0.0

Raleigh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625.0 631.7 627.9 635.0 7.1 1.1

Rocky Mount. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.1 56.1 56.5 55.7 -0.8 -1.4

Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.7 129.2 128.2 130.0 1.8 1.4

Winston-Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 264.4 270.1 265.3 270.8 5.5 2.1

North Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423.9 425.9 425.4 426.5 1.1 0.3

Bismarck. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.9 71.0 71.2 71.1 -0.1 -0.1

Fargo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140.5 140.1 140.5 140.3 -0.2 -0.1

Grand Forks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56.2 55.2 56.1 55.1 -1.0 -1.8

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Ohio. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,469.4 5,511.4 5,494.6 5,538.7 44.1 0.8

Akron. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 336.9 337.5 338.1 339.4 1.3 0.4

Canton-Massillon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 171.9 172.5 172.9 173.1 0.2 0.1

Cincinnati. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,086.9 1,105.5 1,093.8 1,113.7 19.9 1.8

Cleveland-Elyria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,047.4 1,059.8 1,051.6 1,066.5 14.9 1.4

Columbus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,081.4 1,095.7 1,082.5 1,098.8 16.3 1.5

Dayton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 386.6 388.2 388.5 388.0 -0.5 -0.1

Lima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.4 52.7 52.7 52.9 0.2 0.4

Mansfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.0 52.2 52.3 52.8 0.5 1.0

Springfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 49.8 49.7 50.2 0.5 1.0

Toledo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 307.4 306.2 308.2 306.8 -1.4 -0.5

Weirton-Steubenville1. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.7 39.6 39.9 39.5 -0.4 -1.0

Youngstown-Warren-Boardman. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217.8 215.6 218.9 215.5 -3.4 -1.6

Oklahoma. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,668.2 1,683.4 1,681.1 1,688.5 7.4 0.4

Enid. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25.2 25.3 25.5 25.3 -0.2 -0.8

Lawton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.8 45.1 45.3 45.2 -0.1 -0.2

Oklahoma City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 640.2 648.7 644.5 651.0 6.5 1.0

Tulsa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449.8 451.0 454.2 454.0 -0.2 0.0

Oregon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,886.2 1,912.9 1,895.1 1,925.1 30.0 1.6

Albany. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.3 45.9 45.6 46.3 0.7 1.5

Bend-Redmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2 84.8 82.6 85.1 2.5 3.0

Corvallis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.1 44.4 44.4 44.4 0.0 0.0

Eugene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160.9 160.9 161.4 162.0 0.6 0.4

Grants Pass. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26.5 27.1 26.5 27.2 0.7 2.6

Medford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87.2 88.6 87.9 89.5 1.6 1.8

Portland-Vancouver-Hillsboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,181.0 1,203.2 1,187.2 1,209.0 21.8 1.8

Salem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 166.3 168.5 166.9 170.1 3.2 1.9

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,918.3 5,960.8 5,946.2 5,986.8 40.6 0.7

Allentown-Bethlehem-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 369.0 370.8 369.9 371.6 1.7 0.5

Altoona. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.6 60.8 60.9 61.4 0.5 0.8

Bloomsburg-Berwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.6 42.3 42.9 42.4 -0.5 -1.2

Chambersburg-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.6 62.6 60.8 62.5 1.7 2.8

East Stroudsburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58.2 58.4 57.9 58.3 0.4 0.7

Erie. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126.5 127.8 126.9 127.5 0.6 0.5

Gettysburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35.3 35.1 35.2 35.3 0.1 0.3

Harrisburg-Carlisle. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 338.9 339.9 341.5 340.9 -0.6 -0.2

Johnstown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54.1 54.4 54.4 54.5 0.1 0.2

Lancaster. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 252.1 253.4 254.3 254.4 0.1 0.0

Lebanon. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52.7 53.2 52.9 53.5 0.6 1.1

Philadelphia-Camden-Wilmington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,900.0 2,930.7 2,909.7 2,948.1 38.4 1.3

Pittsburgh. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,167.6 1,172.0 1,173.9 1,182.6 8.7 0.7

Reading. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.5 178.7 178.6 179.6 1.0 0.6

Scranton--Wilkes-Barre--Hazleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260.9 259.4 261.9 260.6 -1.3 -0.5

State College. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.8 82.5 80.6 82.9 2.3 2.9

Williamsport. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53.5 52.4 53.6 52.8 -0.8 -1.5

York-Hanover. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185.1 184.7 186.2 185.7 -0.5 -0.3

Rhode Island. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485.1 483.9 486.9 486.5 -0.4 -0.1

Providence-Warwick. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579.7 580.8 582.2 582.8 0.6 0.1

South Carolina. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,119.8 2,150.4 2,131.3 2,163.3 32.0 1.5

Charleston-North Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 361.2 367.0 362.4 369.1 6.7 1.8

Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397.7 400.9 398.9 403.0 4.1 1.0

Florence. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.7 91.9 91.3 92.4 1.1 1.2

Greenville-Anderson-Mauldin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 422.5 429.8 424.4 429.5 5.1 1.2

Hilton Head Island-Bluffton-Beaufort. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79.5 81.4 80.4 83.0 2.6 3.2

Myrtle Beach-Conway-North Myrtle Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163.7 168.6 167.3 174.8 7.5 4.5

Spartanburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157.3 160.2 158.0 161.2 3.2 2.0

Sumter. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40.0 40.8 40.1 40.8 0.7 1.7

South Dakota. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427.0 435.6 429.8 438.3 8.5 2.0

Rapid City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.9 67.0 66.3 67.5 1.2 1.8

Sioux Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.6 158.0 155.2 159.1 3.9 2.5

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Tennessee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,015.4 3,077.3 3,034.7 3,084.4 49.7 1.6

Chattanooga. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 258.2 261.6 260.0 263.6 3.6 1.4

Clarksville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90.8 92.9 91.6 93.6 2.0 2.2

Cleveland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46.3 46.9 45.6 46.5 0.9 2.0

Jackson. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67.7 69.0 68.3 69.7 1.4 2.0

Johnson City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81.1 81.4 81.4 81.8 0.4 0.5

Kingsport-Bristol-Bristol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.5 122.1 121.3 122.2 0.9 0.7

Knoxville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394.3 403.2 396.2 405.2 9.0 2.3

Memphis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639.7 651.1 642.5 649.6 7.1 1.1

Morristown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.9 46.6 46.2 46.8 0.6 1.3

Nashville-Davidson--Murfreesboro--Franklin. . . . . . . . . . . . . . . . . . . . . . . . . . . . 994.4 1,024.9 1,000.2 1,026.2 26.0 2.6

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,342.2 12,617.6 12,400.5 12,664.7 264.2 2.1

Abilene. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69.3 70.3 69.8 70.3 0.5 0.7

Amarillo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.7 120.5 119.8 120.4 0.6 0.5

Austin-Round Rock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,054.3 1,077.5 1,060.2 1,082.9 22.7 2.1

Beaumont-Port Arthur. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164.5 167.1 164.0 167.3 3.3 2.0

Brownsville-Harlingen. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141.0 141.4 141.9 142.7 0.8 0.6

College Station-Bryan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 120.0 123.2 120.8 123.7 2.9 2.4

Corpus Christi. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 192.2 194.3 193.4 194.3 0.9 0.5

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,628.1 3,727.0 3,639.5 3,750.2 110.7 3.0

El Paso. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 315.9 320.1 316.0 320.8 4.8 1.5

Houston-The Woodlands-Sugar Land. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,047.7 3,117.7 3,064.2 3,132.0 67.8 2.2

Killeen-Temple. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142.3 144.6 142.4 145.1 2.7 1.9

Laredo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 104.0 105.8 104.5 106.5 2.0 1.9

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96.1 97.3 97.2 96.5 -0.7 -0.7

Lubbock. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.9 149.3 147.2 149.1 1.9 1.3

McAllen-Edinburg-Mission. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.0 269.0 264.8 271.4 6.6 2.5

Midland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.6 110.0 104.7 110.2 5.5 5.3

Odessa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 82.1 78.9 82.1 3.2 4.1

San Angelo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.4 50.5 49.3 50.0 0.7 1.4

San Antonio-New Braunfels. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,043.2 1,065.4 1,049.6 1,071.7 22.1 2.1

Sherman-Denison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.1 48.4 47.0 48.7 1.7 3.6

Texarkana. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.0 60.1 59.6 60.1 0.5 0.8

Tyler. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.7 106.3 104.3 106.5 2.2 2.1

Victoria. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41.3 41.9 41.5 41.9 0.4 1.0

Waco. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119.8 121.9 120.5 121.9 1.4 1.2

Wichita Falls. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59.2 59.6 59.1 59.9 0.8 1.4

Utah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,493.9 1,537.6 1,501.2 1,546.3 45.1 3.0

Logan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62.6 64.2 62.8 64.6 1.8 2.9

Ogden-Clearfield. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257.2 264.3 258.6 266.5 7.9 3.1

Provo-Orem. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259.3 268.7 260.6 269.8 9.2 3.5

St. George. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.4 69.8 67.2 70.5 3.3 4.9

Salt Lake City. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722.3 736.9 724.1 739.3 15.2 2.1

Vermont. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314.3 317.5 313.8 316.4 2.6 0.8

Burlington-South Burlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124.6 125.2 124.0 125.2 1.2 1.0

Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,951.5 3,984.7 3,971.1 4,008.3 37.2 0.9

Blacksburg-Christiansburg-Radford. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.8 77.5 78.7 78.0 -0.7 -0.9

Charlottesville. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.0 118.8 118.4 119.4 1.0 0.8

Harrisonburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.7 69.3 68.6 69.4 0.8 1.2

Lynchburg. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103.4 104.8 104.1 105.7 1.6 1.5

Richmond. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 670.3 674.9 672.0 676.0 4.0 0.6

Roanoke. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 159.6 161.5 160.6 162.8 2.2 1.4

Staunton-Waynesboro. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50.0 50.9 50.4 51.4 1.0 2.0

Virginia Beach-Norfolk-Newport News. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 779.5 782.0 786.8 786.9 0.1 0.0

Winchester. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63.8 64.3 64.0 64.9 0.9 1.4

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,340.8 3,398.9 3,365.1 3,446.4 81.3 2.4

Bellingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93.8 96.6 95.1 97.4 2.3 2.4

Bremerton-Silverdale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91.4 93.7 92.2 94.1 1.9 2.1

Kennewick-Richland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.2 115.5 114.1 117.3 3.2 2.8

Longview. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39.3 39.6 39.5 40.0 0.5 1.3

See footnotes at end of table.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 3. Employees on nonfarm payrolls by state and metropolitan area, not seasonally adjusted — Continued[In thousands]

State and areaFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

Washington - Continued

Mount Vernon-Anacortes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 50.9 50.3 51.9 1.6 3.2

Olympia-Tumwater. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118.2 121.3 119.1 122.3 3.2 2.7

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,011.3 2,041.2 2,021.9 2,075.1 53.2 2.6

Spokane-Spokane Valley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245.9 253.1 247.8 254.5 6.7 2.7

Walla Walla. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27.1 28.6 27.6 28.8 1.2 4.3

Wenatchee. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44.2 44.5 44.8 45.0 0.2 0.4

Yakima. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85.6 86.1 86.1 87.0 0.9 1.0

West Virginia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 707.4 723.0 713.6 730.6 17.0 2.4

Beckley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42.9 42.9 42.8 43.3 0.5 1.2

Charleston. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109.8 108.7 110.2 109.2 -1.0 -0.9

Huntington-Ashland. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 132.6 131.9 134.1 133.2 -0.9 -0.7

Morgantown. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70.6 69.7 71.0 70.0 -1.0 -1.4

Parkersburg-Vienna. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37.5 37.6 37.6 38.0 0.4 1.1

Wheeling. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64.5 68.4 65.2 68.8 3.6 5.5

Wisconsin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,925.4 2,934.2 2,935.8 2,941.3 5.5 0.2

Appleton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.3 123.2 123.7 123.8 0.1 0.1

Eau Claire. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 86.3 86.9 86.8 87.1 0.3 0.3

Fond du Lac. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47.5 48.0 48.0 48.9 0.9 1.9

Green Bay. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177.1 179.8 177.8 180.3 2.5 1.4

Janesville-Beloit. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68.0 69.3 68.7 69.6 0.9 1.3

La Crosse-Onalaska. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78.9 79.2 77.9 79.6 1.7 2.2

Madison. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 398.9 400.4 400.1 401.6 1.5 0.4

Milwaukee-Waukesha-West Allis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 864.1 869.4 867.4 868.4 1.0 0.1

Oshkosh-Neenah. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97.0 97.2 97.3 97.7 0.4 0.4

Racine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77.1 77.5 77.6 77.9 0.3 0.4

Sheboygan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61.8 62.2 62.2 62.6 0.4 0.6

Wausau. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72.0 72.8 72.4 73.4 1.0 1.4

Wyoming. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276.4 281.9 278.2 283.7 5.5 2.0

Casper. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38.1 38.7 38.3 39.0 0.7 1.8

Cheyenne. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.8 46.4 45.9 46.6 0.7 1.5

Puerto Rico. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 848.3 871.5 855.8 873.6 17.8 2.1

Aguadilla-Isabela. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49.6 51.0 50.1 51.3 1.2 2.4

Arecibo. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.4 34.1 32.9 34.0 1.1 3.3

Guayama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13.1 13.9 13.3 13.9 0.6 4.5

Mayaguez. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31.2 31.9 31.6 32.0 0.4 1.3

Ponce. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66.3 67.3 67.4 67.5 0.1 0.1

San German. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18.4 20.3 18.8 20.4 1.6 8.5

San Juan-Carolina-Caguas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 619.4 633.9 624.0 635.7 11.7 1.9

Virgin Islands. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32.9 34.4 33.2 34.5 1.3 3.9

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 containsthe first principal city.

2 Area boundary does not reflect official OMB delineation.

p Preliminary

NOTE: Data are counts of jobs by place of work. Estimates subsequent to the current benchmark are preliminary and will be revised when new information becomesavailable. Area delineations are based on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and are available on the BLS website athttps://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 arecounty-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 forthe latest month are subject to revision the following month.

ESTABLISHMENT DATANOT SEASONALLY ADJUSTEDTable 4. Employees on nonfarm payrolls by state, selected metropolitan area, and metropolitan division, notseasonally adjusted1

[In thousands]

State, area, and divisionFebruary March

Change fromMarch 2018 to March 2019p

2018 2019 2018 2019p Number Percent

California. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17,008.0 17,243.0 17,059.7 17,313.9 254.2 1.5

Los Angeles-Long Beach-Anaheim. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6,128.2 6,174.2 6,140.8 6,192.7 51.9 0.8

Anaheim-Santa Ana-Irvine. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,638.9 1,650.1 1,641.3 1,655.5 14.2 0.9

Los Angeles-Long Beach-Glendale. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,489.3 4,524.1 4,499.5 4,537.2 37.7 0.8

San Francisco-Oakland-Hayward. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,406.4 2,465.9 2,416.9 2,478.9 62.0 2.6

Oakland-Hayward-Berkeley. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,167.6 1,183.4 1,173.0 1,190.9 17.9 1.5

San Francisco-Redwood City-South San Francisco. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,123.8 1,165.7 1,129.0 1,170.7 41.7 3.7

San Rafael. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115.0 116.8 114.9 117.3 2.4 2.1

District of Columbia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 787.9 791.3 791.2 794.0 2.8 0.4

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,268.9 3,289.8 3,278.8 3,308.3 29.5 0.9

Silver Spring-Frederick-Rockville3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 589.6 588.1 591.7 589.9 -1.8 -0.3

Washington-Arlington-Alexandria2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,679.3 2,701.7 2,687.1 2,718.4 31.3 1.2

Florida. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8,735.2 8,940.5 8,776.2 8,986.4 210.2 2.4

Miami-Fort Lauderdale-West Palm Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,672.1 2,729.1 2,680.2 2,735.7 55.5 2.1

Fort Lauderdale-Pompano Beach-Deerfield Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . 847.5 863.9 850.2 862.7 12.5 1.5

Miami-Miami Beach-Kendall. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,192.2 1,219.7 1,195.4 1,222.5 27.1 2.3

West Palm Beach-Boca Raton-Delray Beach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 632.4 645.5 634.6 650.5 15.9 2.5

Illinois. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,994.6 6,059.0 6,046.8 6,087.0 40.2 0.7

Chicago-Naperville-Elgin2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,636.6 4,700.0 4,678.3 4,718.2 39.9 0.9

Chicago-Naperville-Arlington Heights. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,697.5 3,748.9 3,731.9 3,761.4 29.5 0.8

Elgin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255.7 259.5 258.1 260.4 2.3 0.9

Gary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273.9 275.8 276.5 278.5 2.0 0.7

Lake County-Kenosha County2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409.5 415.8 411.8 417.9 6.1 1.5

Massachusetts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,573.3 3,595.1 3,586.0 3,610.3 24.3 0.7

Boston-Cambridge-Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,727.6 2,736.1 2,737.1 2,749.9 12.8 0.5

Boston-Cambridge-Newton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,841.7 1,853.0 1,848.2 1,862.8 14.6 0.8

Brockton-Bridgewater-Easton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 80.5 81.1 80.6 81.2 0.6 0.7

Framingham. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172.6 170.8 173.0 171.5 -1.5 -0.9

Haverhill-Newburyport-Amesbury Town2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65.4 65.5 65.8 66.0 0.2 0.3

Lawrence-Methuen Town-Salem2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.3 79.9 82.7 80.6 -2.1 -2.5

Lowell-Billerica-Chelmsford2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 156.4 156.1 156.6 156.9 0.3 0.2

Lynn-Saugus-Marblehead. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45.4 44.5 45.5 44.9 -0.6 -1.3

Nashua2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127.5 129.6 128.1 129.6 1.5 1.2

Peabody-Salem-Beverly. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 95.4 95.5 95.5 95.8 0.3 0.3

Taunton-Middleborough-Norton. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60.4 60.1 61.1 60.6 -0.5 -0.8

Michigan. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4,348.6 4,384.7 4,375.2 4,395.9 20.7 0.5

Detroit-Warren-Dearborn. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,997.6 2,013.6 2,010.4 2,022.0 11.6 0.6

Detroit-Dearborn-Livonia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 755.1 761.5 758.9 766.2 7.3 1.0

Warren-Troy-Farmington Hills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,242.5 1,252.1 1,251.5 1,255.8 4.3 0.3

New York. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,520.9 9,613.6 9,567.0 9,671.0 104.0 1.1

New York-Newark-Jersey City2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9,671.0 9,789.1 9,722.6 9,845.9 123.3 1.3

Dutchess County-Putnam County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146.1 147.8 146.2 149.1 2.9 2.0

Nassau County-Suffolk County. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,314.8 1,326.1 1,323.8 1,332.8 9.0 0.7

Newark3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,204.3 1,208.6 1,206.2 1,214.3 8.1 0.7

New York-Jersey City-White Plains2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7,005.8 7,106.6 7,046.4 7,149.7 103.3 1.5

Pennsylvania. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5,918.3 5,960.8 5,946.2 5,986.8 40.6 0.7

Philadelphia-Camden-Wilmington2. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,900.0 2,930.7 2,909.7 2,948.1 38.4 1.3

Camden3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 537.4 534.0 538.8 537.6 -1.2 -0.2

Montgomery County-Bucks County-Chester County. . . . . . . . . . . . . . . . . . . . . . . . . . . 1,052.2 1,063.0 1,059.0 1,071.6 12.6 1.2

Philadelphia. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953.9 974.4 953.7 977.1 23.4 2.5

Wilmington3. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 356.5 359.3 358.2 361.8 3.6 1.0

Texas. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12,342.2 12,617.6 12,400.5 12,664.7 264.2 2.1

Dallas-Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,628.1 3,727.0 3,639.5 3,750.2 110.7 3.0

Dallas-Plano-Irving. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,585.4 2,667.6 2,592.0 2,682.6 90.6 3.5

Fort Worth-Arlington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,042.7 1,059.4 1,047.5 1,067.6 20.1 1.9

Washington. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3,340.8 3,398.9 3,365.1 3,446.4 81.3 2.4

Seattle-Tacoma-Bellevue. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2,011.3 2,041.2 2,021.9 2,075.1 53.2 2.6

Seattle-Bellevue-Everett. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1,695.3 1,723.6 1,704.6 1,751.1 46.5 2.7

Tacoma-Lakewood. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316.0 317.6 317.3 324.0 6.7 2.1

1 These 11 areas contain all of the 38 metropolitan divisions.2 Part of the area (or division) is in one or more adjacent states.3 All of the division is in one or more adjacent states.

p Preliminary

NOTE: Data 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 arebased on Office of Management and Budget Bulletin No. 18-03, dated April 10, 2018, and available at https://www.bls.gov/lau/lausmsa.htm. Areas in the six New England states are Metropolitan NewEngland 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 principalcity. 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 metropolitanareas are listed.For Washington-Arlington-Alexandria, DC-VA-MD-WV, the metropolitan area and division titles are identical. Estimates for the latest month are subject to revision the following month.

Map 1. Unemployment rates for metropolitan areas, not seasonally adjusted, March 2019

(U.S. rate = 3.9 percent)

Map includes data for 389 metropolitan areas based on Office of Management and Budget Bulletin No. 18-03. Areas in the six New England states are Metropolitan New England City and Town areas (NECTAs), while areas in other states are county-based.

NOTE:Above U.S. averageU.S. average or below

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

(U.S. average = 1.7 percent)

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

NOTE: Map includes data for 389metropolitan areas based on Office ofManagement and Budget Bulletin No. 18-03. Areas in the six New England statesare Metropolitan New England City andTown areas (NECTAs), while areas inother states are county based.