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News Release Information

19-2098-PHI
Wednesday, November 27, 2019

Contacts

Technical information:
Media contact:

Washington Area Employment – October 2019

Area’s Rate of Employment Growth Faster than the National Average

Total nonfarm employment for the Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area stood at 3,365,500 in October 2019, up 52,300, or 1.6 percent, over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count increased 1.4 percent. Sheila Watkins, the Bureau’s regional commissioner, noted that the Washington area has had consecutive over-the-year employment increases for nearly six years. (See chart 1 and table 1; Technical Note at end of release contains metropolitan area definitions. All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

The Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area is made up of two metropolitan divisions¾separately identifiable employment centers within the greater metropolitan area. The Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division, with 82 percent of the area’s employment, gained 50,700 jobs over the year. The Silver Spring-Frederick-Rockville, MD Metropolitan Division, which represented the remaining 18 percent of area employment, gained 1,600 jobs since October 2018.

Industry employment

In the greater Washington metropolitan area, professional and business services had the largest employment gain from October 2018 to October 2019, adding 21,200 jobs. The Washington area’s 2.8-percent growth in professional and business services employment was faster than the 1.9-percent increase nationally. (See chart 2.)

Leisure and hospitality (+17,200) and education and health services (+9,900) had the next largest over-the-year local job gains. The local rate of job growth in leisure and hospitality (+5.1 percent) was more than double the 2.3-percent gain for the nation. Education and health services employment grew 2.2 percent in the Washington area, compared to 2.7 percent nationally.

From October 2018 to October 2019, only one area supersector had a job loss greater than 1,000—trade, transportation, and utilities, down 3,100.

Employment in the 12 largest metropolitan areas

Washington-Arlington-Alexandria was 1 of the nation’s 12 largest metropolitan statistical areas in October 2019. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 8 areas exceeding the national increase of 1.4 percent. San Francisco-Oakland-Hayward (+2.7 percent) had the fastest rate of job growth, followed by Dallas-Fort Worth-Arlington, Houston-The Woodlands-Sugarland, and Phoenix-Mesa-Scottsdale (+2.6 percent each). Chicago-Naperville-Elgin (+0.7 percent), New York-Newark-Jersey City (+0.9 percent), and Philadelphia-Camden-Wilmington (+1.0 percent) had the slowest rates of job growth. (See chart 3 and table 2.)

Dallas added the largest number of jobs over the year, 98,700, followed by New York (+84,600), Los Angeles-Long Beach-Anaheim (+80,700), and Houston (+80,400). Philadelphia had the smallest employment gain over the year, 28,600, followed by Chicago (+35,800) and Boston-Cambridge-Nashua (+40,900). Annual job gains in the remaining five metropolitan areas ranged from 66,800 in San Francisco to 49,000 in Miami-Fort Lauderdale-West Palm Beach.

Over the year, education and health services added the most jobs in six areas: Boston, Chicago, Los Angeles, Miami, New York, and Philadelphia. Professional and business services gained the most jobs in three other areas: Houston, San Francisco, and Washington.

The trade, transportation, and utilities sector recorded the largest employment loss in three areas: Boston, Philadelphia, and Washington. Information had the largest losses in three other areas: Chicago, Houston, and Los Angeles. Dallas was the only area to have no job losses in any of its supersectors from October 2018 to October 2019.

Metropolitan area employment data for November 2019 are scheduled to be released on Friday, December 20, 2019, at 10:00 a.m. (ET).


Technical Note

This release presents nonfarm payroll employment estimates from the Current Employment Statistics (CES) program. The CES survey is a Federal-State cooperative endeavor between State employment security agencies and the Bureau of Labor Statistics.

Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period which includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2012 version of the North American Industry Classification System.

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

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

Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports which 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.

Reliability of the estimates. The estimates presented in this release are based on sample survey and administrative data 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 are also 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 special estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.

Employment estimates. Measures of sampling error for the total private employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/sae/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states down to the supersector level are available on the BLS website at www.bls.gov/sae/790stderr.htm. Measures of nonsampling error are not available for the areas contained in this release. Information on recent benchmark revisions is available online at www.bls.gov/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 July 15, 2015. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm.

The Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Statistical Area includes the District of Columbia; Arlington, Clarke, Culpeper, Fairfax, Fauquier, Loudoun, Prince William, Rappahannock, Spotsylvania, Stafford, and Warren Counties, and Alexandria, Fairfax, Falls Church, Fredericksburg, Manassas, and Manassas Park Cities in Virginia; Calvert, Charles, Frederick, Montgomery, and Prince George’s Counties in Maryland; and Jefferson County in West Virginia.

  • The Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Division includes the District of Columbia; Arlington, Clarke, Culpeper, Fairfax, Fauquier, Loudoun, Prince William, Rappahannock, Spotsylvania, Stafford, and Warren Counties, and Alexandria, Fairfax, Falls Church, Fredericksburg, Manassas, and Manassas Park Cities in Virginia; Calvert, Charles, and Prince George’s Counties in Maryland; and Jefferson County in West Virginia.
  • The Silver Spring-Frederick-Rockville, Md. Metropolitan Division includes Frederick and Montgomery Counties in Maryland.

Additional information

More complete information on the technical procedures used to develop these estimates and additional data appear in Employment and Earnings, which is available online at www.bls.gov/opub/ee/home.htm. Industry employment data for states and metropolitan areas from the Current Employment Statistics program are also available in the above mentioned news releases and from the Internet 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.

Table 1. Employees on nonfarm payrolls by industry supersector, Washington metropolitan area and its components, not seasonally adjusted (numbers in thousands)
AreaBack
data
Oct
2018
Aug
2019
Sep
2019
Oct
2019
Oct 2018 to
Oct 2019
Net
change
Percent
change

Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Statistical Area

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,313.23,339.53,338.7(p)3,365.5(p)52.3(p)1.6

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
162.9167.2165.6(p)165.6(p)2.7(p)1.7

Manufacturing

Go to web page with historical data for series SMU11479003000000001
55.255.855.0(p)55.8(p)0.6(p)1.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
405.2402.3399.8(p)402.1(p)-3.1(p)-0.8

Information

Go to web page with historical data for series SMU11479005000000001
74.273.472.9(p)74.6(p)0.4(p)0.5

Financial activities

Go to web page with historical data for series SMU11479005500000001
157.9158.1157.1(p)158.4(p)0.5(p)0.3

Professional and business services

Go to web page with historical data for series SMU11479006000000001
764.7782.2774.2(p)785.9(p)21.2(p)2.8

Education and health services

Go to web page with historical data for series SMU11479006500000001
445.5447.2451.3(p)455.4(p)9.9(p)2.2

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
334.9361.3353.7(p)352.1(p)17.2(p)5.1

Other services

Go to web page with historical data for series SMU11479008000000001
208.6212.1208.5(p)209.5(p)0.9(p)0.4

Government

Go to web page with historical data for series SMU11479009000000001
704.1679.9700.6(p)706.1(p)2.0(p)0.3

Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU11478940000000001
2,716.32,739.12,743.0(p)2,767.0(p)50.7(p)1.9

Mining, logging, and construction

Go to web page with historical data for series SMU11478941500000001
127.6132.7131.7(p)131.4(p)3.8(p)3.0

Manufacturing

Go to web page with historical data for series SMU11478943000000001
36.736.936.2(p)37.0(p)0.3(p)0.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU11478944000000001
328.1324.9322.7(p)325.2(p)-2.9(p)-0.9

Information

Go to web page with historical data for series SMU11478945000000001
62.361.361.1(p)62.8(p)0.5(p)0.8

Financial activities

Go to web page with historical data for series SMU11478945500000001
121.2121.7121.4(p)122.6(p)1.4(p)1.2

Professional and business services

Go to web page with historical data for series SMU11478946000000001
633.6648.0642.2(p)652.0(p)18.4(p)2.9

Education and health services

Go to web page with historical data for series SMU11478946500000001
350.5351.8355.6(p)359.5(p)9.0(p)2.6

Leisure and hospitality

Go to web page with historical data for series SMU11478947000000001
278.9300.8296.4(p)296.0(p)17.1(p)6.1

Other services

Go to web page with historical data for series SMU11478948000000001
183.4186.7183.3(p)184.4(p)1.0(p)0.5

Government

Go to web page with historical data for series SMU11478949000000001
594.0574.3592.4(p)596.1(p)2.1(p)0.4

Silver Spring-Frederick-Rockville, Md. Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU24435240000000001
596.9600.4595.7(p)598.5(p)1.6(p)0.3

Mining, logging, and construction

Go to web page with historical data for series SMU24435241500000001
35.334.533.9(p)34.2(p)-1.1(p)-3.1

Manufacturing

Go to web page with historical data for series SMU24435243000000001
18.518.918.8(p)18.8(p)0.3(p)1.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU24435244000000001
77.177.477.1(p)76.9(p)-0.2(p)-0.3

Information

Go to web page with historical data for series SMU24435245000000001
11.912.111.8(p)11.8(p)-0.1(p)-0.8

Financial activities

Go to web page with historical data for series SMU24435245500000001
36.736.435.7(p)35.8(p)-0.9(p)-2.5

Professional and business services

Go to web page with historical data for series SMU24435246000000001
131.1134.2132.0(p)133.9(p)2.8(p)2.1

Education and health services

Go to web page with historical data for series SMU24435246500000001
95.095.495.7(p)95.9(p)0.9(p)0.9

Leisure and hospitality

Go to web page with historical data for series SMU24435247000000001
56.060.557.3(p)56.1(p)0.1(p)0.2

Other services

Go to web page with historical data for series SMU24435248000000001
25.225.425.2(p)25.1(p)-0.1(p)-0.4

Government

Go to web page with historical data for series SMU24435249000000001
110.1105.6108.2(p)110.0(p)-0.1(p)-0.1

Footnotes
(p) Preliminary

SOURCE: Current Employment Statistics - National - State and Metropolitan Area

Return to Mid-Atlantic Information Office Homepage menu

Table 2. Employees on nonfarm payrolls by industry supersector, United States and 12 large metropolitan areas, not seasonally adjusted (numbers in thousands)
AreaBack
data
Oct
2018
Aug
2019
Sep
2019
Oct
2019
Oct 2018 to
Oct 2019
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
150,853151,607(p)152,015(p)152,962(p)2,109(p)1.4

Mining and logging

Go to web page with historical data for series CEU1000000001
759760(p)754(p)755(p)-4(p)-0.5

Construction

Go to web page with historical data for series CEU2000000001
7,5597,758(p)7,698(p)7,705(p)146(p)1.9

Manufacturing

Go to web page with historical data for series CEU3000000001
12,77412,934(p)12,880(p)12,820(p)46(p)0.4

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,76427,750(p)27,698(p)27,897(p)133(p)0.5

Information

Go to web page with historical data for series CEU5000000001
2,8392,849(p)2,822(p)2,831(p)-8(p)-0.3

Financial activities

Go to web page with historical data for series CEU5500000001
8,6188,761(p)8,708(p)8,732(p)114(p)1.3

Professional and business services

Go to web page with historical data for series CEU6000000001
21,39721,668(p)21,637(p)21,812(p)415(p)1.9

Education and health services

Go to web page with historical data for series CEU6500000001
24,01824,067(p)24,343(p)24,662(p)644(p)2.7

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
16,40217,416(p)16,909(p)16,781(p)379(p)2.3

Other services

Go to web page with historical data for series CEU8000000001
5,8715,992(p)5,936(p)5,946(p)75(p)1.3

Government

Go to web page with historical data for series CEU9000000001
22,85221,652(p)22,630(p)23,021(p)169(p)0.7

Atlanta-Sandy Springs-Roswell, Ga.

Total nonfarm

Go to web page with historical data for series SMU13120600000000001
2,815.72,849.72,851.9(p)2,874.9(p)59.2(p)2.1

Mining and logging

Go to web page with historical data for series SMU13120601000000001
1.61.61.6(p)1.6(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU13120602000000001
128.7133.6133.6(p)133.8(p)5.1(p)4.0

Manufacturing

Go to web page with historical data for series SMU13120603000000001
172.9175.3175.7(p)175.3(p)2.4(p)1.4

Trade, transportation, and utilities

Go to web page with historical data for series SMU13120604000000001
603.6604.3606.7(p)612.0(p)8.4(p)1.4

Information

Go to web page with historical data for series SMU13120605000000001
99.698.997.9(p)100.1(p)0.5(p)0.5

Financial activities

Go to web page with historical data for series SMU13120605500000001
175.4176.9176.1(p)176.3(p)0.9(p)0.5

Professional and business services

Go to web page with historical data for series SMU13120606000000001
536.1538.9539.3(p)545.5(p)9.4(p)1.8

Education and health services

Go to web page with historical data for series SMU13120606500000001
359.9365.7369.1(p)372.9(p)13.0(p)3.6

Leisure and hospitality

Go to web page with historical data for series SMU13120607000000001
300.4317.0311.9(p)315.1(p)14.7(p)4.9

Other services

Go to web page with historical data for series SMU13120608000000001
99.899.298.4(p)98.5(p)-1.3(p)-1.3

Government

Go to web page with historical data for series SMU13120609000000001
337.7338.3341.6(p)343.8(p)6.1(p)1.8

Boston-Cambridge-Nashua, Mass.-N.H. (NECTA)

Total nonfarm

Go to web page with historical data for series SMU25716500000000001
2,793.92,810.52,809.4(p)2,834.8(p)40.9(p)1.5

Mining, logging, and construction

Go to web page with historical data for series SMU25716501500000001
121.6123.0121.9(p)123.1(p)1.5(p)1.2

Manufacturing

Go to web page with historical data for series SMU25716503000000001
188.9188.8187.2(p)188.1(p)-0.8(p)-0.4

Trade, transportation, and utilities

Go to web page with historical data for series SMU25716504000000001
425.1422.1420.0(p)423.3(p)-1.8(p)-0.4

Information

Go to web page with historical data for series SMU25716505000000001
80.785.383.5(p)83.4(p)2.7(p)3.3

Financial activities

Go to web page with historical data for series SMU25716505500000001
183.5187.9185.1(p)184.7(p)1.2(p)0.7

Professional and business services

Go to web page with historical data for series SMU25716506000000001
506.3519.1514.5(p)519.0(p)12.7(p)2.5

Education and health services

Go to web page with historical data for series SMU25716506500000001
590.3588.7595.7(p)609.7(p)19.4(p)3.3

Leisure and hospitality

Go to web page with historical data for series SMU25716507000000001
275.7296.6281.8(p)279.0(p)3.3(p)1.2

Other services

Go to web page with historical data for series SMU25716508000000001
103.0108.4103.7(p)104.5(p)1.5(p)1.5

Government

Go to web page with historical data for series SMU25716509000000001
318.8290.6316.0(p)320.0(p)1.2(p)0.4

Chicago-Naperville-Elgin, Ill.-Ind.-Wis.

Total nonfarm

Go to web page with historical data for series SMU17169800000000001
4,806.14,832.44,821.1(p)4,841.9(p)35.8(p)0.7

Mining and logging

Go to web page with historical data for series SMU17169801000000001
1.61.61.6(p)1.7(p)0.1(p)6.3

Construction

Go to web page with historical data for series SMU17169802000000001
191.1191.2189.1(p)189.4(p)-1.7(p)-0.9

Manufacturing

Go to web page with historical data for series SMU17169803000000001
423.9428.3426.0(p)425.8(p)1.9(p)0.4

Trade, transportation, and utilities

Go to web page with historical data for series SMU17169804000000001
957.0959.9955.1(p)962.2(p)5.2(p)0.5

Information

Go to web page with historical data for series SMU17169805000000001
77.474.073.5(p)74.4(p)-3.0(p)-3.9

Financial activities

Go to web page with historical data for series SMU17169805500000001
313.4316.9313.9(p)315.9(p)2.5(p)0.8

Professional and business services

Go to web page with historical data for series SMU17169806000000001
859.4859.3857.9(p)862.3(p)2.9(p)0.3

Education and health services

Go to web page with historical data for series SMU17169806500000001
743.0740.9745.4(p)757.4(p)14.4(p)1.9

Leisure and hospitality

Go to web page with historical data for series SMU17169807000000001
491.1522.0505.5(p)503.8(p)12.7(p)2.6

Other services

Go to web page with historical data for series SMU17169808000000001
198.2201.0198.7(p)198.7(p)0.5(p)0.3

Government

Go to web page with historical data for series SMU17169809000000001
550.0537.3554.4(p)550.3(p)0.3(p)0.1

Dallas-Fort Worth-Arlington, Texas

Total nonfarm

Go to web page with historical data for series SMU48191000000000001
3,729.93,811.23,810.3(p)3,828.6(p)98.7(p)2.6

Mining, logging, and construction

Go to web page with historical data for series SMU48191001500000001
223.2238.5237.8(p)240.3(p)17.1(p)7.7

Manufacturing

Go to web page with historical data for series SMU48191003000000001
281.6287.8288.2(p)283.6(p)2.0(p)0.7

Trade, transportation, and utilities

Go to web page with historical data for series SMU48191004000000001
792.6800.2796.6(p)805.2(p)12.6(p)1.6

Information

Go to web page with historical data for series SMU48191005000000001
81.982.181.2(p)81.9(p)0.0(p)0.0

Financial activities

Go to web page with historical data for series SMU48191005500000001
304.7318.0319.5(p)319.1(p)14.4(p)4.7

Professional and business services

Go to web page with historical data for series SMU48191006000000001
631.6655.1648.6(p)645.5(p)13.9(p)2.2

Education and health services

Go to web page with historical data for series SMU48191006500000001
455.7466.0466.1(p)469.0(p)13.3(p)2.9

Leisure and hospitality

Go to web page with historical data for series SMU48191007000000001
387.9407.6402.5(p)403.4(p)15.5(p)4.0

Other services

Go to web page with historical data for series SMU48191008000000001
125.1129.7128.0(p)128.7(p)3.6(p)2.9

Government

Go to web page with historical data for series SMU48191009000000001
445.6426.2441.8(p)451.9(p)6.3(p)1.4

Houston-The Woodlands-Sugar Land, Texas

Total nonfarm

Go to web page with historical data for series SMU48264200000000001
3,121.73,165.63,173.9(p)3,202.1(p)80.4(p)2.6

Mining and logging

Go to web page with historical data for series SMU48264201000000001
81.487.787.4(p)87.4(p)6.0(p)7.4

Construction

Go to web page with historical data for series SMU48264202000000001
227.1227.1232.2(p)231.3(p)4.2(p)1.8

Manufacturing

Go to web page with historical data for series SMU48264203000000001
231.9242.8241.4(p)241.0(p)9.1(p)3.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU48264204000000001
628.7631.4626.5(p)632.7(p)4.0(p)0.6

Information

Go to web page with historical data for series SMU48264205000000001
31.329.929.7(p)30.0(p)-1.3(p)-4.2

Financial activities

Go to web page with historical data for series SMU48264205500000001
165.2168.8168.0(p)168.8(p)3.6(p)2.2

Professional and business services

Go to web page with historical data for series SMU48264206000000001
498.5521.5521.0(p)529.5(p)31.0(p)6.2

Education and health services

Go to web page with historical data for series SMU48264206500000001
397.8404.1404.6(p)407.9(p)10.1(p)2.5

Leisure and hospitality

Go to web page with historical data for series SMU48264207000000001
327.6336.5329.1(p)331.5(p)3.9(p)1.2

Other services

Go to web page with historical data for series SMU48264208000000001
113.8121.6120.3(p)121.0(p)7.2(p)6.3

Government

Go to web page with historical data for series SMU48264209000000001
418.4394.2413.7(p)421.0(p)2.6(p)0.6

Los Angeles-Long Beach-Anaheim, Calif.

Total nonfarm

Go to web page with historical data for series SMU06310800000000001
6,217.46,201.26,249.5(p)6,298.1(p)80.7(p)1.3

Mining and logging

Go to web page with historical data for series SMU06310801000000001
2.42.42.4(p)2.4(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU06310802000000001
258.9271.5271.2(p)272.7(p)13.8(p)5.3

Manufacturing

Go to web page with historical data for series SMU06310803000000001
500.0505.5505.0(p)504.0(p)4.0(p)0.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU06310804000000001
1,116.21,108.41,111.0(p)1,119.4(p)3.2(p)0.3

Information

Go to web page with historical data for series SMU06310805000000001
251.7244.3242.2(p)240.3(p)-11.4(p)-4.5

Financial activities

Go to web page with historical data for series SMU06310805500000001
340.6343.5341.4(p)344.8(p)4.2(p)1.2

Professional and business services

Go to web page with historical data for series SMU06310806000000001
952.6960.3962.4(p)964.2(p)11.6(p)1.2

Education and health services

Go to web page with historical data for series SMU06310806500000001
1,060.81,070.11,085.7(p)1,096.3(p)35.5(p)3.3

Leisure and hospitality

Go to web page with historical data for series SMU06310807000000001
761.3784.4776.8(p)781.1(p)19.8(p)2.6

Other services

Go to web page with historical data for series SMU06310808000000001
213.0212.8211.5(p)212.3(p)-0.7(p)-0.3

Government

Go to web page with historical data for series SMU06310809000000001
759.9698.0739.9(p)760.6(p)0.7(p)0.1

Miami-Fort Lauderdale-West Palm Beach, Fla.

Total nonfarm

Go to web page with historical data for series SMU12331000000000001
2,705.62,728.12,730.9(p)2,754.6(p)49.0(p)1.8

Mining and logging

Go to web page with historical data for series SMU12331001000000001
0.70.70.7(p)0.7(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU12331002000000001
141.3143.3144.8(p)144.6(p)3.3(p)2.3

Manufacturing

Go to web page with historical data for series SMU12331003000000001
91.591.890.0(p)89.8(p)-1.7(p)-1.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU12331004000000001
610.1607.0606.3(p)614.9(p)4.8(p)0.8

Information

Go to web page with historical data for series SMU12331005000000001
51.150.149.9(p)50.3(p)-0.8(p)-1.6

Financial activities

Go to web page with historical data for series SMU12331005500000001
185.8187.5187.4(p)189.0(p)3.2(p)1.7

Professional and business services

Go to web page with historical data for series SMU12331006000000001
453.6461.7463.0(p)465.0(p)11.4(p)2.5

Education and health services

Go to web page with historical data for series SMU12331006500000001
407.5417.3419.1(p)423.2(p)15.7(p)3.9

Leisure and hospitality

Go to web page with historical data for series SMU12331007000000001
324.2327.9326.6(p)330.7(p)6.5(p)2.0

Other services

Go to web page with historical data for series SMU12331008000000001
123.7126.6125.5(p)126.2(p)2.5(p)2.0

Government

Go to web page with historical data for series SMU12331009000000001
316.1314.2317.6(p)320.2(p)4.1(p)1.3

New York-Newark-Jersey City, N.Y.-N.J.-Pa.

Total nonfarm

Go to web page with historical data for series SMU36356200000000001
9,923.19,935.39,919.3(p)10,007.7(p)84.6(p)0.9

Mining, logging, and construction

Go to web page with historical data for series SMU36356201500000001
418.5436.7431.5(p)427.9(p)9.4(p)2.2

Manufacturing

Go to web page with historical data for series SMU36356203000000001
362.3363.3361.9(p)360.4(p)-1.9(p)-0.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU36356204000000001
1,746.11,722.81,732.6(p)1,744.6(p)-1.5(p)-0.1

Information

Go to web page with historical data for series SMU36356205000000001
294.7296.7294.7(p)291.8(p)-2.9(p)-1.0

Financial activities

Go to web page with historical data for series SMU36356205500000001
780.6782.5768.7(p)769.6(p)-11.0(p)-1.4

Professional and business services

Go to web page with historical data for series SMU36356206000000001
1,588.81,593.21,587.1(p)1,603.9(p)15.1(p)1.0

Education and health services

Go to web page with historical data for series SMU36356206500000001
2,027.71,992.82,032.5(p)2,080.6(p)52.9(p)2.6

Leisure and hospitality

Go to web page with historical data for series SMU36356207000000001
936.21,018.5970.1(p)951.5(p)15.3(p)1.6

Other services

Go to web page with historical data for series SMU36356208000000001
428.6435.0428.5(p)433.5(p)4.9(p)1.1

Government

Go to web page with historical data for series SMU36356209000000001
1,339.61,293.81,311.7(p)1,343.9(p)4.3(p)0.3

Philadelphia-Camden-Wilmington, Pa.-N.J.-Del.-Md.

Total nonfarm

Go to web page with historical data for series SMU42379800000000001
2,975.42,955.12,985.6(p)3,004.0(p)28.6(p)1.0

Mining, logging, and construction

Go to web page with historical data for series SMU42379801500000001
121.5128.2126.9(p)127.6(p)6.1(p)5.0

Manufacturing

Go to web page with historical data for series SMU42379803000000001
182.1182.9181.7(p)181.8(p)-0.3(p)-0.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU42379804000000001
525.9514.4520.1(p)525.1(p)-0.8(p)-0.2

Information

Go to web page with historical data for series SMU42379805000000001
48.748.948.3(p)48.4(p)-0.3(p)-0.6

Financial activities

Go to web page with historical data for series SMU42379805500000001
216.1218.9219.2(p)220.3(p)4.2(p)1.9

Professional and business services

Go to web page with historical data for series SMU42379806000000001
474.8477.7477.9(p)478.6(p)3.8(p)0.8

Education and health services

Go to web page with historical data for series SMU42379806500000001
668.8651.1667.8(p)676.2(p)7.4(p)1.1

Leisure and hospitality

Go to web page with historical data for series SMU42379807000000001
272.7291.2281.1(p)278.4(p)5.7(p)2.1

Other services

Go to web page with historical data for series SMU42379808000000001
121.7123.5123.3(p)123.6(p)1.9(p)1.6

Government

Go to web page with historical data for series SMU42379809000000001
343.1318.3339.3(p)344.0(p)0.9(p)0.3

Phoenix-Mesa-Scottsdale, Ariz.

Total nonfarm

Go to web page with historical data for series SMU04380600000000001
2,145.12,158.32,176.4(p)2,201.6(p)56.5(p)2.6

Mining and logging

Go to web page with historical data for series SMU04380601000000001
3.73.73.5(p)3.5(p)-0.2(p)-5.4

Construction

Go to web page with historical data for series SMU04380602000000001
128.5137.1138.4(p)138.3(p)9.8(p)7.6

Manufacturing

Go to web page with historical data for series SMU04380603000000001
129.2136.4136.8(p)136.9(p)7.7(p)6.0

Trade, transportation, and utilities

Go to web page with historical data for series SMU04380604000000001
407.3410.7412.1(p)419.8(p)12.5(p)3.1

Information

Go to web page with historical data for series SMU04380605000000001
38.537.737.8(p)38.5(p)0.0(p)0.0

Financial activities

Go to web page with historical data for series SMU04380605500000001
194.5194.8195.5(p)197.3(p)2.8(p)1.4

Professional and business services

Go to web page with historical data for series SMU04380606000000001
361.4359.7362.9(p)367.9(p)6.5(p)1.8

Education and health services

Go to web page with historical data for series SMU04380606500000001
333.0338.7341.9(p)345.1(p)12.1(p)3.6

Leisure and hospitality

Go to web page with historical data for series SMU04380607000000001
230.4229.2230.0(p)235.0(p)4.6(p)2.0

Other services

Go to web page with historical data for series SMU04380608000000001
70.770.971.9(p)72.8(p)2.1(p)3.0

Government

Go to web page with historical data for series SMU04380609000000001
247.9239.4245.6(p)246.5(p)-1.4(p)-0.6

San Francisco-Oakland-Hayward, Calif.

Total nonfarm

Go to web page with historical data for series SMU06418600000000001
2,461.02,510.82,511.2(p)2,527.8(p)66.8(p)2.7

Mining and logging

Go to web page with historical data for series SMU06418601000000001
0.30.30.3(p)0.3(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU06418602000000001
128.1137.9136.3(p)135.5(p)7.4(p)5.8

Manufacturing

Go to web page with historical data for series SMU06418603000000001
144.6144.2144.3(p)144.1(p)-0.5(p)-0.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU06418604000000001
376.9379.5378.8(p)380.9(p)4.0(p)1.1

Information

Go to web page with historical data for series SMU06418605000000001
117.6124.4122.7(p)122.9(p)5.3(p)4.5

Financial activities

Go to web page with historical data for series SMU06418605500000001
141.9147.0146.5(p)147.6(p)5.7(p)4.0

Professional and business services

Go to web page with historical data for series SMU06418606000000001
504.2523.6519.5(p)524.1(p)19.9(p)3.9

Education and health services

Go to web page with historical data for series SMU06418606500000001
359.0364.3369.6(p)373.3(p)14.3(p)4.0

Leisure and hospitality

Go to web page with historical data for series SMU06418607000000001
273.8285.9284.0(p)284.2(p)10.4(p)3.8

Other services

Go to web page with historical data for series SMU06418608000000001
89.086.785.4(p)85.7(p)-3.3(p)-3.7

Government

Go to web page with historical data for series SMU06418609000000001
325.6317.0323.8(p)329.2(p)3.6(p)1.1

Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va.

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,313.23,339.53,338.7(p)3,365.5(p)52.3(p)1.6

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
162.9167.2165.6(p)165.6(p)2.7(p)1.7

Manufacturing

Go to web page with historical data for series SMU11479003000000001
55.255.855.0(p)55.8(p)0.6(p)1.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
405.2402.3399.8(p)402.1(p)-3.1(p)-0.8

Information

Go to web page with historical data for series SMU11479005000000001
74.273.472.9(p)74.6(p)0.4(p)0.5

Financial activities

Go to web page with historical data for series SMU11479005500000001
157.9158.1157.1(p)158.4(p)0.5(p)0.3

Professional and business services

Go to web page with historical data for series SMU11479006000000001
764.7782.2774.2(p)785.9(p)21.2(p)2.8

Education and health services

Go to web page with historical data for series SMU11479006500000001
445.5447.2451.3(p)455.4(p)9.9(p)2.2

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
334.9361.3353.7(p)352.1(p)17.2(p)5.1

Other services

Go to web page with historical data for series SMU11479008000000001
208.6212.1208.5(p)209.5(p)0.9(p)0.4

Government

Go to web page with historical data for series SMU11479009000000001
704.1679.9700.6(p)706.1(p)2.0(p)0.3

Footnotes
(p) Preliminary

SOURCE: Current Employment Statistics - National - State and Metropolitan Area

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Last Modified Date: Wednesday, November 27, 2019