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News Release Information

18-490-PHI
Monday, March 26, 2018

Contacts Technical information: Media contact:

Washington Area Employment – January 2018

Area’s Rate of Employment Growth Matches the National Average

Total nonfarm employment for the Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Statistical Area stood at 3,258,500 in January 2018, up 43,800, or 1.4 percent, over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count also increased 1.4 percent. Sheila Watkins, the Bureau’s regional commissioner, noted that the Washington area’s January increase was its 46th consecutive over-the-year employment gain. (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, D.C.-Va.-Md.-W.Va. Metropolitan Statistical Area is made up of two metropolitan divisions--separately identifiable employment centers within the greater metropolitan area. The Washington-Arlington-Alexandria, D.C.-Va.-Md.-W.Va. Metropolitan Division, with 82 percent of the area’s employment, gained 37,500 jobs over the year. The Silver Spring-Frederick-Rockville, Md. Metropolitan Division, which represented the remaining 18 percent of area employment, added 6,300 jobs since January 2017.

Industry employment

In the greater Washington metropolitan area, leisure and hospitality had the largest employment gain from January 2017 to January 2018, adding 13,000 jobs. The Washington area’s 4.2-percent growth in leisure and hospitality employment was nearly twice as fast as the 2.2-percent increase nationally. (See chart 2.) Almost all of the local job gains in this industry were in the Washington division.

Since January 2017, the second and third-largest employment gains in the Washington area were in professional and business services (10,700 jobs) and education and health services (10,000 jobs). The local rate of job growth in professional and business services (1.5 percent) was slower than the rate for the nation (2.2 percent) while local job growth in education and health services (2.3 percent) exceeded the national rate (2.1 percent).

Government was the only supersector to lose jobs in the Washington area from January 2017 to January 2018, declining by 2,900. The local rate of job loss in this industry was 0.4 percent, while nationally government employment was unchanged over the last 12 months.

Employment in the 12 largest metropolitan areas

Washington-Arlington-Alexandria was 1 of the nation’s 12 largest metropolitan statistical areas in January 2018. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 6 areas exceeding the national increase of 1.4 percent. Phoenix-Mesa-Scottsdale had the fastest rate of job growth, up 2.7 percent, followed by Dallas-Fort Worth-Arlington, up 2.4 percent. Chicago-Naperville-Elgin had the slowest rate of job growth, 0.5 percent. (See chart 3 and table 2.)

Los Angeles-Long Beach-Anaheim added the largest number of jobs over the year, 114,600, followed by New York-Newark-Jersey City, up 104,000. Boston-Cambridge-Nashua had the smallest employment gain over the year, adding 22,400 jobs. Chicago and Philadelphia-Camden-Wilmington each added 23,200 jobs. Annual gains in the remaining seven metropolitan areas ranged from 85,800 in Dallas to 29,700 in Miami-Fort Lauderdale-West Palm Beach.

Over the year, education and health services added the most jobs in five areas: Chicago, Los Angeles, New York, Philadelphia, and Phoenix. Professional and business services gained the most jobs in four areas: Boston, Houston-The Woodlands-Sugar Land, Miami, and San Francisco-Oakland-Hayward.

Metropolitan area employment data for March 2018 are scheduled to be released on Friday, April 20, 2018, 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/additional-resources/reliability-of-state-and-area-estimates.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/additional-resources/reliability-of-state-and-area-estimates.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
Jan
2017
Nov
2017
Dec
2017
Jan
2018
Jan 2017 to
Jan 2018
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
3,214.73,306.23,310.2(p)3,258.5(p)43.8(p)1.4

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
153.5159.6159.5(p)156.6(p)3.1(p)2.0

Manufacturing

Go to web page with historical data for series SMU11479003000000001
54.255.154.7(p)54.5(p)0.3(p)0.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
404.8414.6421.0(p)406.0(p)1.2(p)0.3

Information

Go to web page with historical data for series SMU11479005000000001
73.673.474.9(p)74.7(p)1.1(p)1.5

Financial activities

Go to web page with historical data for series SMU11479005500000001
154.8157.3158.6(p)157.8(p)3.0(p)1.9

Professional and business services

Go to web page with historical data for series SMU11479006000000001
734.1751.4748.6(p)744.8(p)10.7(p)1.5

Education and health services

Go to web page with historical data for series SMU11479006500000001
433.2451.7449.8(p)443.2(p)10.0(p)2.3

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
308.9325.9326.0(p)321.9(p)13.0(p)4.2

Other services

Go to web page with historical data for series SMU11479008000000001
202.2209.0210.6(p)206.5(p)4.3(p)2.1

Government

Go to web page with historical data for series SMU11479009000000001
695.4708.2706.5(p)692.5(p)-2.9(p)-0.4

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

Total nonfarm

Go to web page with historical data for series SMU11478940000000001
2,631.62,711.42,714.7(p)2,669.1(p)37.5(p)1.4

Mining, logging, and construction

Go to web page with historical data for series SMU11478941500000001
120.6124.7124.1(p)121.9(p)1.3(p)1.1

Manufacturing

Go to web page with historical data for series SMU11478943000000001
36.637.236.7(p)36.7(p)0.1(p)0.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU11478944000000001
327.6335.9341.2(p)328.6(p)1.0(p)0.3

Information

Go to web page with historical data for series SMU11478945000000001
60.460.762.1(p)62.1(p)1.7(p)2.8

Financial activities

Go to web page with historical data for series SMU11478945500000001
118.3120.1121.1(p)120.8(p)2.5(p)2.1

Professional and business services

Go to web page with historical data for series SMU11478946000000001
605.8621.9619.8(p)616.1(p)10.3(p)1.7

Education and health services

Go to web page with historical data for series SMU11478946500000001
343.3357.7356.3(p)350.2(p)6.9(p)2.0

Leisure and hospitality

Go to web page with historical data for series SMU11478947000000001
256.0271.8272.0(p)268.3(p)12.3(p)4.8

Other services

Go to web page with historical data for series SMU11478948000000001
177.3184.0185.7(p)181.8(p)4.5(p)2.5

Government

Go to web page with historical data for series SMU11478949000000001
585.7597.4595.7(p)582.6(p)-3.1(p)-0.5

Silver Spring-Frederick-Rockville, Md. Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU24435240000000001
583.1594.8595.5(p)589.4(p)6.3(p)1.1

Mining, logging, and construction

Go to web page with historical data for series SMU24435241500000001
32.934.935.4(p)34.7(p)1.8(p)5.5

Manufacturing

Go to web page with historical data for series SMU24435243000000001
17.617.918.0(p)17.8(p)0.2(p)1.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU24435244000000001
77.278.779.8(p)77.4(p)0.2(p)0.3

Information

Go to web page with historical data for series SMU24435245000000001
13.212.712.8(p)12.6(p)-0.6(p)-4.5

Financial activities

Go to web page with historical data for series SMU24435245500000001
36.537.237.5(p)37.0(p)0.5(p)1.4

Professional and business services

Go to web page with historical data for series SMU24435246000000001
128.3129.5128.8(p)128.7(p)0.4(p)0.3

Education and health services

Go to web page with historical data for series SMU24435246500000001
89.994.093.5(p)93.0(p)3.1(p)3.4

Leisure and hospitality

Go to web page with historical data for series SMU24435247000000001
52.954.154.0(p)53.6(p)0.7(p)1.3

Other services

Go to web page with historical data for series SMU24435248000000001
24.925.024.9(p)24.7(p)-0.2(p)-0.8

Government

Go to web page with historical data for series SMU24435249000000001
109.7110.8110.8(p)109.9(p)0.2(p)0.2

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
Jan
2017
Nov
2017
Dec
2017
Jan
2018
Jan 2017 to
Jan 2018
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
143,393148,783148,530(p)145,472(p)2,079(p)1.4

Mining and logging

Go to web page with historical data for series CEU1000000001
637703700(p)693(p)56(p)8.8

Construction

Go to web page with historical data for series CEU2000000001
6,4597,1176,970(p)6,692(p)233(p)3.6

Manufacturing

Go to web page with historical data for series CEU3000000001
12,27712,52212,560(p)12,484(p)207(p)1.7

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,30528,17128,337(p)27,464(p)159(p)0.6

Information

Go to web page with historical data for series CEU5000000001
2,7782,7992,784(p)2,724(p)-54(p)-1.9

Financial activities

Go to web page with historical data for series CEU5500000001
8,3458,4998,516(p)8,461(p)116(p)1.4

Professional and business services

Go to web page with historical data for series CEU6000000001
19,87520,86420,770(p)20,319(p)444(p)2.2

Education and health services

Go to web page with historical data for series CEU6500000001
22,76623,60923,556(p)23,250(p)484(p)2.1

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
15,12415,87715,862(p)15,452(p)328(p)2.2

Other services

Go to web page with historical data for series CEU8000000001
5,6565,8095,800(p)5,751(p)95(p)1.7

Government

Go to web page with historical data for series CEU9000000001
22,17122,81322,675(p)22,182(p)11(p)0.0

Atlanta-Sandy Springs-Roswell, Ga.

Total nonfarm

Go to web page with historical data for series SMU13120600000000001
2,665.52,770.32,767.0(p)2,709.8(p)44.3(p)1.7

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
116.7126.0125.6(p)121.1(p)4.4(p)3.8

Manufacturing

Go to web page with historical data for series SMU13120603000000001
166.2168.6169.4(p)167.3(p)1.1(p)0.7

Trade, transportation, and utilities

Go to web page with historical data for series SMU13120604000000001
595.0619.2622.9(p)606.6(p)11.6(p)1.9

Information

Go to web page with historical data for series SMU13120605000000001
96.9100.299.5(p)91.5(p)-5.4(p)-5.6

Financial activities

Go to web page with historical data for series SMU13120605500000001
167.1170.7170.4(p)166.8(p)-0.3(p)-0.2

Professional and business services

Go to web page with historical data for series SMU13120606000000001
487.7504.4501.2(p)492.4(p)4.7(p)1.0

Education and health services

Go to web page with historical data for series SMU13120606500000001
334.2348.4349.2(p)344.0(p)9.8(p)2.9

Leisure and hospitality

Go to web page with historical data for series SMU13120607000000001
274.7290.7290.3(p)285.5(p)10.8(p)3.9

Other services

Go to web page with historical data for series SMU13120608000000001
96.999.0100.3(p)98.9(p)2.0(p)2.1

Government

Go to web page with historical data for series SMU13120609000000001
328.5341.5336.6(p)334.1(p)5.6(p)1.7

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

Total nonfarm

Go to web page with historical data for series SMU25716500000000001
2,676.62,770.42,767.7(p)2,699.0(p)22.4(p)0.8

Mining, logging, and construction

Go to web page with historical data for series SMU25716501500000001
102.8117.7114.5(p)107.4(p)4.6(p)4.5

Manufacturing

Go to web page with historical data for series SMU25716503000000001
186.6187.6188.7(p)187.7(p)1.1(p)0.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU25716504000000001
423.9431.7436.7(p)421.9(p)-2.0(p)-0.5

Information

Go to web page with historical data for series SMU25716505000000001
78.879.779.0(p)79.2(p)0.4(p)0.5

Financial activities

Go to web page with historical data for series SMU25716505500000001
183.2183.9184.2(p)181.8(p)-1.4(p)-0.8

Professional and business services

Go to web page with historical data for series SMU25716506000000001
467.0489.6487.5(p)478.7(p)11.7(p)2.5

Education and health services

Go to web page with historical data for series SMU25716506500000001
569.0589.9589.0(p)575.0(p)6.0(p)1.1

Leisure and hospitality

Go to web page with historical data for series SMU25716507000000001
254.2267.5267.4(p)257.6(p)3.4(p)1.3

Other services

Go to web page with historical data for series SMU25716508000000001
99.5104.9103.9(p)101.1(p)1.6(p)1.6

Government

Go to web page with historical data for series SMU25716509000000001
311.6317.9316.8(p)308.6(p)-3.0(p)-1.0

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

Total nonfarm

Go to web page with historical data for series SMU17169800000000001
4,583.74,758.64,730.9(p)4,606.9(p)23.2(p)0.5

Mining and logging

Go to web page with historical data for series SMU17169801000000001
1.31.61.5(p)1.5(p)0.2(p)15.4

Construction

Go to web page with historical data for series SMU17169802000000001
151.8179.4171.4(p)155.4(p)3.6(p)2.4

Manufacturing

Go to web page with historical data for series SMU17169803000000001
411.2419.1420.2(p)416.2(p)5.0(p)1.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU17169804000000001
944.4973.9980.3(p)942.0(p)-2.4(p)-0.3

Information

Go to web page with historical data for series SMU17169805000000001
80.677.878.2(p)76.7(p)-3.9(p)-4.8

Financial activities

Go to web page with historical data for series SMU17169805500000001
299.8304.3304.8(p)306.5(p)6.7(p)2.2

Professional and business services

Go to web page with historical data for series SMU17169806000000001
797.3840.2827.6(p)796.8(p)-0.5(p)-0.1

Education and health services

Go to web page with historical data for series SMU17169806500000001
714.3734.6727.1(p)721.2(p)6.9(p)1.0

Leisure and hospitality

Go to web page with historical data for series SMU17169807000000001
452.0474.2467.7(p)456.7(p)4.7(p)1.0

Other services

Go to web page with historical data for series SMU17169808000000001
192.7193.2194.2(p)192.5(p)-0.2(p)-0.1

Government

Go to web page with historical data for series SMU17169809000000001
538.3560.3557.9(p)541.4(p)3.1(p)0.6

Dallas-Fort Worth-Arlington, Texas

Total nonfarm

Go to web page with historical data for series SMU48191000000000001
3,522.03,671.03,666.8(p)3,607.8(p)85.8(p)2.4

Mining, logging, and construction

Go to web page with historical data for series SMU48191001500000001
205.3215.6211.9(p)209.6(p)4.3(p)2.1

Manufacturing

Go to web page with historical data for series SMU48191003000000001
265.8275.0274.6(p)272.6(p)6.8(p)2.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU48191004000000001
762.3792.2796.0(p)773.2(p)10.9(p)1.4

Information

Go to web page with historical data for series SMU48191005000000001
83.283.284.2(p)83.4(p)0.2(p)0.2

Financial activities

Go to web page with historical data for series SMU48191005500000001
286.7296.4295.5(p)294.3(p)7.6(p)2.7

Professional and business services

Go to web page with historical data for series SMU48191006000000001
581.2604.6602.3(p)588.4(p)7.2(p)1.2

Education and health services

Go to web page with historical data for series SMU48191006500000001
434.4452.6450.4(p)447.9(p)13.5(p)3.1

Leisure and hospitality

Go to web page with historical data for series SMU48191007000000001
357.5382.6383.1(p)378.1(p)20.6(p)5.8

Other services

Go to web page with historical data for series SMU48191008000000001
117.6123.8123.3(p)121.8(p)4.2(p)3.6

Government

Go to web page with historical data for series SMU48191009000000001
428.0445.0445.5(p)438.5(p)10.5(p)2.5

Houston-The Woodlands-Sugar Land, Texas

Total nonfarm

Go to web page with historical data for series SMU48264200000000001
2,965.13,063.43,073.4(p)3,029.5(p)64.4(p)2.2

Mining and logging

Go to web page with historical data for series SMU48264201000000001
76.177.577.9(p)78.8(p)2.7(p)3.5

Construction

Go to web page with historical data for series SMU48264202000000001
210.1221.6221.4(p)219.3(p)9.2(p)4.4

Manufacturing

Go to web page with historical data for series SMU48264203000000001
217.1220.1221.1(p)221.7(p)4.6(p)2.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU48264204000000001
613.1633.7640.2(p)622.4(p)9.3(p)1.5

Information

Go to web page with historical data for series SMU48264205000000001
32.331.431.9(p)31.7(p)-0.6(p)-1.9

Financial activities

Go to web page with historical data for series SMU48264205500000001
157.0160.3160.4(p)160.1(p)3.1(p)2.0

Professional and business services

Go to web page with historical data for series SMU48264206000000001
467.2491.9492.8(p)488.6(p)21.4(p)4.6

Education and health services

Go to web page with historical data for series SMU48264206500000001
379.3384.1383.9(p)380.4(p)1.1(p)0.3

Leisure and hospitality

Go to web page with historical data for series SMU48264207000000001
306.4319.5318.5(p)312.8(p)6.4(p)2.1

Other services

Go to web page with historical data for series SMU48264208000000001
106.0108.0109.2(p)108.2(p)2.2(p)2.1

Government

Go to web page with historical data for series SMU48264209000000001
400.5415.3416.1(p)405.5(p)5.0(p)1.2

Los Angeles-Long Beach-Anaheim, Calif.

Total nonfarm

Go to web page with historical data for series SMU06310800000000001
5,948.06,152.56,169.0(p)6,062.6(p)114.6(p)1.9

Mining and logging

Go to web page with historical data for series SMU06310801000000001
2.92.92.9(p)2.9(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU06310802000000001
224.4243.8242.9(p)241.1(p)16.7(p)7.4

Manufacturing

Go to web page with historical data for series SMU06310803000000001
511.6506.8507.8(p)503.1(p)-8.5(p)-1.7

Trade, transportation, and utilities

Go to web page with historical data for series SMU06310804000000001
1,097.91,131.01,138.9(p)1,107.8(p)9.9(p)0.9

Information

Go to web page with historical data for series SMU06310805000000001
237.9247.3246.2(p)233.5(p)-4.4(p)-1.8

Financial activities

Go to web page with historical data for series SMU06310805500000001
337.5341.2343.9(p)339.9(p)2.4(p)0.7

Professional and business services

Go to web page with historical data for series SMU06310806000000001
889.8933.5939.1(p)916.7(p)26.9(p)3.0

Education and health services

Go to web page with historical data for series SMU06310806500000001
988.71,030.01,031.9(p)1,026.5(p)37.8(p)3.8

Leisure and hospitality

Go to web page with historical data for series SMU06310807000000001
712.3750.4752.1(p)740.7(p)28.4(p)4.0

Other services

Go to web page with historical data for series SMU06310808000000001
200.2204.3203.2(p)201.0(p)0.8(p)0.4

Government

Go to web page with historical data for series SMU06310809000000001
744.8761.3760.1(p)749.4(p)4.6(p)0.6

Miami-Fort Lauderdale-West Palm Beach, Fla.

Total nonfarm

Go to web page with historical data for series SMU12331000000000001
2,616.22,666.52,679.3(p)2,645.9(p)29.7(p)1.1

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
125.2133.0133.4(p)131.3(p)6.1(p)4.9

Manufacturing

Go to web page with historical data for series SMU12331003000000001
87.890.892.0(p)91.2(p)3.4(p)3.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU12331004000000001
599.2614.1619.0(p)601.5(p)2.3(p)0.4

Information

Go to web page with historical data for series SMU12331005000000001
50.850.650.5(p)50.3(p)-0.5(p)-1.0

Financial activities

Go to web page with historical data for series SMU12331005500000001
178.1179.5181.7(p)177.9(p)-0.2(p)-0.1

Professional and business services

Go to web page with historical data for series SMU12331006000000001
429.5441.4443.2(p)437.4(p)7.9(p)1.8

Education and health services

Go to web page with historical data for series SMU12331006500000001
387.0393.4395.6(p)392.0(p)5.0(p)1.3

Leisure and hospitality

Go to web page with historical data for series SMU12331007000000001
322.8322.4324.9(p)327.7(p)4.9(p)1.5

Other services

Go to web page with historical data for series SMU12331008000000001
122.5124.4125.7(p)123.2(p)0.7(p)0.6

Government

Go to web page with historical data for series SMU12331009000000001
312.6316.2312.6(p)312.7(p)0.1(p)0.0

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

Total nonfarm

Go to web page with historical data for series SMU36356200000000001
9,434.79,825.79,838.2(p)9,538.7(p)104.0(p)1.1

Mining, logging, and construction

Go to web page with historical data for series SMU36356201500000001
372.2405.7398.2(p)377.1(p)4.9(p)1.3

Manufacturing

Go to web page with historical data for series SMU36356203000000001
362.1363.8363.6(p)358.8(p)-3.3(p)-0.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU36356204000000001
1,734.11,796.21,814.0(p)1,749.4(p)15.3(p)0.9

Information

Go to web page with historical data for series SMU36356205000000001
280.7290.2288.3(p)280.7(p)0.0(p)0.0

Financial activities

Go to web page with historical data for series SMU36356205500000001
763.3779.3781.8(p)770.6(p)7.3(p)1.0

Professional and business services

Go to web page with historical data for series SMU36356206000000001
1,495.51,564.61,563.5(p)1,517.4(p)21.9(p)1.5

Education and health services

Go to web page with historical data for series SMU36356206500000001
1,875.91,974.91,979.7(p)1,928.2(p)52.3(p)2.8

Leisure and hospitality

Go to web page with historical data for series SMU36356207000000001
854.8904.6904.6(p)858.6(p)3.8(p)0.4

Other services

Go to web page with historical data for series SMU36356208000000001
415.2425.3426.8(p)417.3(p)2.1(p)0.5

Government

Go to web page with historical data for series SMU36356209000000001
1,280.91,321.11,317.7(p)1,280.6(p)-0.3(p)0.0

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

Total nonfarm

Go to web page with historical data for series SMU42379800000000001
2,854.82,955.72,950.9(p)2,878.0(p)23.2(p)0.8

Mining, logging, and construction

Go to web page with historical data for series SMU42379801500000001
110.3116.8113.8(p)106.3(p)-4.0(p)-3.6

Manufacturing

Go to web page with historical data for series SMU42379803000000001
178.4180.5181.8(p)179.7(p)1.3(p)0.7

Trade, transportation, and utilities

Go to web page with historical data for series SMU42379804000000001
523.0537.2542.1(p)523.7(p)0.7(p)0.1

Information

Go to web page with historical data for series SMU42379805000000001
46.245.045.2(p)44.9(p)-1.3(p)-2.8

Financial activities

Go to web page with historical data for series SMU42379805500000001
212.1215.0215.6(p)214.0(p)1.9(p)0.9

Professional and business services

Go to web page with historical data for series SMU42379806000000001
455.3475.3472.1(p)457.0(p)1.7(p)0.4

Education and health services

Go to web page with historical data for series SMU42379806500000001
628.4659.4656.5(p)644.3(p)15.9(p)2.5

Leisure and hospitality

Go to web page with historical data for series SMU42379807000000001
248.2262.4260.0(p)252.0(p)3.8(p)1.5

Other services

Go to web page with historical data for series SMU42379808000000001
118.9119.2119.9(p)118.6(p)-0.3(p)-0.3

Government

Go to web page with historical data for series SMU42379809000000001
334.0344.9343.9(p)337.5(p)3.5(p)1.0

Phoenix-Mesa-Scottsdale, Ariz.

Total nonfarm

Go to web page with historical data for series SMU04380600000000001
1,999.52,086.32,088.4(p)2,052.5(p)53.0(p)2.7

Mining and logging

Go to web page with historical data for series SMU04380601000000001
3.13.23.1(p)3.1(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU04380602000000001
106.8117.8118.4(p)116.7(p)9.9(p)9.3

Manufacturing

Go to web page with historical data for series SMU04380603000000001
120.2125.7128.2(p)127.2(p)7.0(p)5.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU04380604000000001
391.4409.0409.2(p)397.5(p)6.1(p)1.6

Information

Go to web page with historical data for series SMU04380605000000001
35.035.435.6(p)35.3(p)0.3(p)0.9

Financial activities

Go to web page with historical data for series SMU04380605500000001
182.8190.3188.8(p)189.1(p)6.3(p)3.4

Professional and business services

Go to web page with historical data for series SMU04380606000000001
340.5353.1354.0(p)345.0(p)4.5(p)1.3

Education and health services

Go to web page with historical data for series SMU04380606500000001
301.4314.9315.4(p)314.8(p)13.4(p)4.4

Leisure and hospitality

Go to web page with historical data for series SMU04380607000000001
216.2224.0225.9(p)222.4(p)6.2(p)2.9

Other services

Go to web page with historical data for series SMU04380608000000001
64.765.465.7(p)65.3(p)0.6(p)0.9

Government

Go to web page with historical data for series SMU04380609000000001
237.4247.5244.1(p)236.1(p)-1.3(p)-0.5

San Francisco-Oakland-Hayward, Calif.

Total nonfarm

Go to web page with historical data for series SMU06418600000000001
2,347.42,435.72,437.7(p)2,398.3(p)50.9(p)2.2

Mining and logging

Go to web page with historical data for series SMU06418601000000001
0.40.50.5(p)0.5(p)0.1(p)25.0

Construction

Go to web page with historical data for series SMU06418602000000001
111.5120.8119.5(p)116.1(p)4.6(p)4.1

Manufacturing

Go to web page with historical data for series SMU06418603000000001
135.7142.4141.6(p)140.4(p)4.7(p)3.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU06418604000000001
382.8394.5399.2(p)385.6(p)2.8(p)0.7

Information

Go to web page with historical data for series SMU06418605000000001
101.9108.2108.1(p)106.9(p)5.0(p)4.9

Financial activities

Go to web page with historical data for series SMU06418605500000001
140.6142.5143.9(p)142.3(p)1.7(p)1.2

Professional and business services

Go to web page with historical data for series SMU06418606000000001
468.7487.4485.9(p)479.6(p)10.9(p)2.3

Education and health services

Go to web page with historical data for series SMU06418606500000001
341.8356.5356.4(p)352.4(p)10.6(p)3.1

Leisure and hospitality

Go to web page with historical data for series SMU06418607000000001
260.0271.4273.7(p)268.2(p)8.2(p)3.2

Other services

Go to web page with historical data for series SMU06418608000000001
85.085.684.4(p)84.7(p)-0.3(p)-0.4

Government

Go to web page with historical data for series SMU06418609000000001
319.0325.9324.5(p)321.6(p)2.6(p)0.8

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

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,214.73,306.23,310.2(p)3,258.5(p)43.8(p)1.4

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
153.5159.6159.5(p)156.6(p)3.1(p)2.0

Manufacturing

Go to web page with historical data for series SMU11479003000000001
54.255.154.7(p)54.5(p)0.3(p)0.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
404.8414.6421.0(p)406.0(p)1.2(p)0.3

Information

Go to web page with historical data for series SMU11479005000000001
73.673.474.9(p)74.7(p)1.1(p)1.5

Financial activities

Go to web page with historical data for series SMU11479005500000001
154.8157.3158.6(p)157.8(p)3.0(p)1.9

Professional and business services

Go to web page with historical data for series SMU11479006000000001
734.1751.4748.6(p)744.8(p)10.7(p)1.5

Education and health services

Go to web page with historical data for series SMU11479006500000001
433.2451.7449.8(p)443.2(p)10.0(p)2.3

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
308.9325.9326.0(p)321.9(p)13.0(p)4.2

Other services

Go to web page with historical data for series SMU11479008000000001
202.2209.0210.6(p)206.5(p)4.3(p)2.1

Government

Go to web page with historical data for series SMU11479009000000001
695.4708.2706.5(p)692.5(p)-2.9(p)-0.4

Footnotes
(p) Preliminary

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

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Last Modified Date: Monday, March 26, 2018