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News Release Information

20-2255-PHI
Friday, December 11, 2020

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Technical information:
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Washington Area Employment – October 2020

Area’s Rate of Employment Decrease Slower than the Nation’s

Total nonfarm employment for the Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area stood at 3,203,500 in October 2020, down 173,700, or 5.1 percent, over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count decreased 6.0 percent. Maureen McDevitt Greene, the Bureau’s acting regional commissioner, noted that in October the Washington area had its seventh consecutive over-the-year employment decrease. (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 divisions—separately 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, lost 148,700 jobs over the year. The Silver Spring-Frederick-Rockville, MD Metropolitan Division, which represented the remaining 18 percent of area employment, lost 25,000 jobs since October 2019.

Industry employment

In the greater Washington metropolitan area, leisure and hospitality had the largest employment decrease from October 2019 to October 2020, losing 77,800 jobs. The Washington area’s 23.2-percent decrease in leisure and hospitality employment compared to the 19.7-percent decrease nationally. (See chart 2.) Ninety-three percent of the local job losses in this supersector were in the Washington division.

Education and health services and trade, transportation, and utilities had the next largest over-the-year local job losses, down 33,800 and 17,200 jobs, respectively. The local rate of job loss in education and health services (-7.5 percent) compared to the 4.4-percent loss for the nation. Trade, transportation, and utility employment decreased 4.2 percent in the Washington area, compared to 3.5 percent nationally.

Over-the-year job losses in the remaining local area supersectors ranged from 14,600 in professional and business services to 2,600 in financial activities.

Employment in the 12 largest metropolitan areas

Washington-Arlington-Alexandria was 1 of the nation’s 12 largest metropolitan statistical areas in October 2020. All 12 areas had over-the-year job loss during the period, with the rates of job loss in 7 areas exceeding the national decrease of 6.0 percent. New York-Newark-Jersey City had the fastest rate of job loss (-10.1 percent), followed by San Francisco-Oakland-Hayward (-9.8 percent). Dallas-Fort Worth-Arlington had the slowest rate of job loss at 2.3 percent. (See chart 3 and table 2.)

New York lost the largest number of jobs over the year (-1,017,600), followed by Los Angeles-Long Beach-Anaheim (-520,000). The smallest employment loss occurred in Phoenix-Mesa-Scottsdale (-52,100). Annual losses in the remaining nine metropolitan areas ranged from 343,300 in Chicago-Naperville-Elgin to 89,800 in Dallas.

Over the year, the leisure and hospitality supersector lost the most jobs in all 12 metropolitan areas. New York had the largest loss of jobs for this sector (-339,300), followed by Los Angeles (-204,600). Atlanta-Sandy Springs-Roswell had the smallest job losses for the leisure and hospitality sector (-36,500). The remaining nine areas had job losses ranging from 113,000 in Chicago to 37,600 in Phoenix for this industry sector.

The financial activities supersector added the most jobs in two areas: Dallas (+12,700) and San Francisco (+2,000). Trade, transportation, and utilities gained the most jobs in two other areas: Phoenix (+9,400) and Atlanta (+2,900). The financial activities supersector added the most jobs in three areas: Dallas, Miami-Fort Lauderdale-West Palm Beach, and San Francisco. Trade, transportation, and utilities gained the most jobs in two other areas: Atlanta and Phoenix.

Metropolitan area employment data for November 2020 are scheduled to be released on Friday, December 18, 2020, at 10:00 a.m. (ET).

Coronavirus (COVID-19) Pandemic Impact on October 2020 Establishment Survey Data

BLS has continued to review all estimation and methodological procedures for the establishment survey, which included the review of data, estimation processes, the application of the birth-death model, and seasonal adjustment. Business births and deaths cannot be adequately captured by the establishment survey as they occur. Therefore, the Current Employment Statistics (CES) program uses a model to account for the relatively stable net employment change generated by business births and deaths. Due to the impact of COVID-19, the relationship between business births and deaths is no longer stable. Typically, reports with zero employment are not included in estimation. For the September final and October preliminary estimates, CES included a portion of these reports in the estimates and made modifications to the birth-death model. In addition for both months, the establishment survey included a portion of the reports that returned to reporting positive employment from reporting zero employment. For more information, see www.bls.gov/web/empsit/cesbd.htm.

In the establishment survey, workers who are paid by their employer for all or any part of the pay period including the 12th of the month are counted as employed, even if they were not actually at their jobs. Workers who are temporarily or permanently absent from their jobs and are not being paid are not counted as employed, even if they are continuing to receive benefits. The length of the reference period does vary across the respondents in the establishment survey; one-third of businesses have a weekly pay period, slightly over 40 percent a bi-weekly, about 20 percent semi-monthly, and a small amount monthly.


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 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 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 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 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 nonfarm 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 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/sae/additional-resources/reliability-of-state-and-area-estimates.htm. Information on recent benchmark revisions is available online at www.bls.gov/sae/publications/benchmark-article/annual-benchmark-article.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. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm.

The Washington-Arlington-Alexandria, DC-VA-MD-WV 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, DC-VA-MD-WV 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. Detailed industry employment data for metropolitan areas from the CES program are available from the State and Area Employment Databases at www.bls.gov/sae/data/home.htm.

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
2019
Aug
2020
Sep
2020
Oct
2020
Oct 2019 to
Oct 2020
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
3,377.23,142.63,172.0(p)3,203.5(p)-173.7(p)-5.1

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
166.6166.7165.9(p)167.3(p)0.7(p)0.4

Manufacturing

Go to web page with historical data for series SMU11479003000000001
57.454.354.9(p)54.6(p)-2.8(p)-4.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
408.9383.1385.6(p)391.7(p)-17.2(p)-4.2

Information

Go to web page with historical data for series SMU11479005000000001
77.673.573.6(p)73.8(p)-3.8(p)-4.9

Financial activities

Go to web page with historical data for series SMU11479005500000001
162.2158.3159.5(p)159.6(p)-2.6(p)-1.6

Professional and business services

Go to web page with historical data for series SMU11479006000000001
787.4770.1765.3(p)772.8(p)-14.6(p)-1.9

Education and health services

Go to web page with historical data for series SMU11479006500000001
452.0407.0413.4(p)418.2(p)-33.8(p)-7.5

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
335.5241.6249.2(p)257.7(p)-77.8(p)-23.2

Other services

Go to web page with historical data for series SMU11479008000000001
211.5204.3204.1(p)203.3(p)-8.2(p)-3.9

Government

Go to web page with historical data for series SMU11479009000000001
718.1683.7700.5(p)704.5(p)-13.6(p)-1.9

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

Total nonfarm

Go to web page with historical data for series SMU11478940000000001
2,770.52,569.42,594.3(p)2,621.8(p)-148.7(p)-5.4

Mining, logging, and construction

Go to web page with historical data for series SMU11478941500000001
130.8132.8132.9(p)134.7(p)3.9(p)3.0

Manufacturing

Go to web page with historical data for series SMU11478943000000001
38.335.536.1(p)35.9(p)-2.4(p)-6.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU11478944000000001
332.1312.5314.2(p)319.0(p)-13.1(p)-3.9

Information

Go to web page with historical data for series SMU11478945000000001
66.064.164.2(p)64.3(p)-1.7(p)-2.6

Financial activities

Go to web page with historical data for series SMU11478945500000001
124.4120.7121.7(p)121.5(p)-2.9(p)-2.3

Professional and business services

Go to web page with historical data for series SMU11478946000000001
651.7639.3635.2(p)640.5(p)-11.2(p)-1.7

Education and health services

Go to web page with historical data for series SMU11478946500000001
355.6316.7321.2(p)326.9(p)-28.7(p)-8.1

Leisure and hospitality

Go to web page with historical data for series SMU11478947000000001
279.9192.2199.7(p)207.4(p)-72.5(p)-25.9

Other services

Go to web page with historical data for series SMU11478948000000001
186.3182.1181.8(p)180.5(p)-5.8(p)-3.1

Government

Go to web page with historical data for series SMU11478949000000001
605.4573.5587.3(p)591.1(p)-14.3(p)-2.4

Silver Spring-Frederick-Rockville, Md. Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU24435240000000001
606.7573.2577.7(p)581.7(p)-25.0(p)-4.1

Mining, logging, and construction

Go to web page with historical data for series SMU24435241500000001
35.833.933.0(p)32.6(p)-3.2(p)-8.9

Manufacturing

Go to web page with historical data for series SMU24435243000000001
19.118.818.8(p)18.7(p)-0.4(p)-2.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU24435244000000001
76.870.671.4(p)72.7(p)-4.1(p)-5.3

Information

Go to web page with historical data for series SMU24435245000000001
11.69.49.4(p)9.5(p)-2.1(p)-18.1

Financial activities

Go to web page with historical data for series SMU24435245500000001
37.837.637.8(p)38.1(p)0.3(p)0.8

Professional and business services

Go to web page with historical data for series SMU24435246000000001
135.7130.8130.1(p)132.3(p)-3.4(p)-2.5

Education and health services

Go to web page with historical data for series SMU24435246500000001
96.490.392.2(p)91.3(p)-5.1(p)-5.3

Leisure and hospitality

Go to web page with historical data for series SMU24435247000000001
55.649.449.5(p)50.3(p)-5.3(p)-9.5

Other services

Go to web page with historical data for series SMU24435248000000001
25.222.222.3(p)22.8(p)-2.4(p)-9.5

Government

Go to web page with historical data for series SMU24435249000000001
112.7110.2113.2(p)113.4(p)0.7(p)0.6

Footnotes
(p) Preliminary

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
2019
Aug
2020
Sep
2020
Oct
2020
Oct 2019 to
Oct 2020
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
152,570140,700141,901(p)143,488(p)-9,082(p)-6.0

Mining and logging

Go to web page with historical data for series CEU1000000001
743626628(p)629(p)-114(p)-15.3

Construction

Go to web page with historical data for series CEU2000000001
7,7207,4657,424(p)7,512(p)-208(p)-2.7

Manufacturing

Go to web page with historical data for series CEU3000000001
12,82012,20012,205(p)12,220(p)-600(p)-4.7

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,79326,39726,459(p)26,827(p)-966(p)-3.5

Information

Go to web page with historical data for series CEU5000000001
2,8752,6002,630(p)2,620(p)-255(p)-8.9

Financial activities

Go to web page with historical data for series CEU5500000001
8,8048,7048,683(p)8,726(p)-78(p)-0.9

Professional and business services

Go to web page with historical data for series CEU6000000001
21,67620,21520,273(p)20,659(p)-1,017(p)-4.7

Education and health services

Go to web page with historical data for series CEU6500000001
24,56122,83923,148(p)23,485(p)-1,076(p)-4.4

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
16,64813,22613,214(p)13,372(p)-3,276(p)-19.7

Other services

Go to web page with historical data for series CEU8000000001
5,9075,4455,445(p)5,501(p)-406(p)-6.9

Government

Go to web page with historical data for series CEU9000000001
23,02320,98321,792(p)21,937(p)-1,086(p)-4.7

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

Go to web page with historical data for series SMU13120600000000001
2,878.52,734.62,759.3(p)2,787.9(p)-90.6(p)-3.1

Mining and logging

Go to web page with historical data for series SMU13120601000000001
1.51.51.5(p)1.6(p)0.1(p)6.7

Construction

Go to web page with historical data for series SMU13120602000000001
130.7128.7131.0(p)130.1(p)-0.6(p)-0.5

Manufacturing

Go to web page with historical data for series SMU13120603000000001
172.8160.3161.3(p)163.2(p)-9.6(p)-5.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU13120604000000001
604.6598.5602.6(p)607.5(p)2.9(p)0.5

Information

Go to web page with historical data for series SMU13120605000000001
101.692.594.3(p)95.3(p)-6.3(p)-6.2

Financial activities

Go to web page with historical data for series SMU13120605500000001
179.0172.7173.9(p)176.6(p)-2.4(p)-1.3

Professional and business services

Go to web page with historical data for series SMU13120606000000001
555.6523.0525.0(p)532.3(p)-23.3(p)-4.2

Education and health services

Go to web page with historical data for series SMU13120606500000001
379.3370.7374.0(p)378.1(p)-1.2(p)-0.3

Leisure and hospitality

Go to web page with historical data for series SMU13120607000000001
310.8261.5266.3(p)274.3(p)-36.5(p)-11.7

Other services

Go to web page with historical data for series SMU13120608000000001
104.598.498.5(p)97.7(p)-6.8(p)-6.5

Government

Go to web page with historical data for series SMU13120609000000001
338.1326.8330.9(p)331.2(p)-6.9(p)-2.0

Boston-Cambridge-Nashua, MA-NH (NECTA)

Total nonfarm

Go to web page with historical data for series SMU25716500000000001
2,837.12,524.02,551.1(p)2,576.1(p)-261.0(p)-9.2

Mining, logging, and construction

Go to web page with historical data for series SMU25716501500000001
127.4111.2111.4(p)112.8(p)-14.6(p)-11.5

Manufacturing

Go to web page with historical data for series SMU25716503000000001
187.9176.2176.3(p)176.8(p)-11.1(p)-5.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU25716504000000001
426.0383.8381.6(p)390.7(p)-35.3(p)-8.3

Information

Go to web page with historical data for series SMU25716505000000001
81.980.980.4(p)79.7(p)-2.2(p)-2.7

Financial activities

Go to web page with historical data for series SMU25716505500000001
186.3185.5185.4(p)185.6(p)-0.7(p)-0.4

Professional and business services

Go to web page with historical data for series SMU25716506000000001
523.4499.5497.8(p)505.0(p)-18.4(p)-3.5

Education and health services

Go to web page with historical data for series SMU25716506500000001
600.4539.1549.6(p)555.9(p)-44.5(p)-7.4

Leisure and hospitality

Go to web page with historical data for series SMU25716507000000001
281.7191.0182.5(p)180.9(p)-100.8(p)-35.8

Other services

Go to web page with historical data for series SMU25716508000000001
103.779.580.0(p)80.8(p)-22.9(p)-22.1

Government

Go to web page with historical data for series SMU25716509000000001
318.4277.3306.1(p)307.9(p)-10.5(p)-3.3

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

Go to web page with historical data for series SMU17169800000000001
4,808.44,432.44,438.1(p)4,465.1(p)-343.3(p)-7.1

Mining and logging

Go to web page with historical data for series SMU17169801000000001
1.91.71.7(p)1.6(p)-0.3(p)-15.8

Construction

Go to web page with historical data for series SMU17169802000000001
190.3181.4178.5(p)182.1(p)-8.2(p)-4.3

Manufacturing

Go to web page with historical data for series SMU17169803000000001
416.4400.8398.5(p)398.9(p)-17.5(p)-4.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU17169804000000001
951.6906.1907.8(p)917.7(p)-33.9(p)-3.6

Information

Go to web page with historical data for series SMU17169805000000001
79.575.375.7(p)75.0(p)-4.5(p)-5.7

Financial activities

Go to web page with historical data for series SMU17169805500000001
320.4311.2309.7(p)311.6(p)-8.8(p)-2.7

Professional and business services

Go to web page with historical data for series SMU17169806000000001
851.7792.2785.8(p)796.8(p)-54.9(p)-6.4

Education and health services

Go to web page with historical data for series SMU17169806500000001
750.2698.1706.1(p)713.1(p)-37.1(p)-4.9

Leisure and hospitality

Go to web page with historical data for series SMU17169807000000001
494.5386.4381.0(p)381.5(p)-113.0(p)-22.9

Other services

Go to web page with historical data for series SMU17169808000000001
198.3181.6181.3(p)181.0(p)-17.3(p)-8.7

Government

Go to web page with historical data for series SMU17169809000000001
553.6497.6512.0(p)505.8(p)-47.8(p)-8.6

Dallas-Fort Worth-Arlington, TX

Total nonfarm

Go to web page with historical data for series SMU48191000000000001
3,825.03,658.73,673.3(p)3,735.2(p)-89.8(p)-2.3

Mining, logging, and construction

Go to web page with historical data for series SMU48191001500000001
232.9228.9229.0(p)234.7(p)1.8(p)0.8

Manufacturing

Go to web page with historical data for series SMU48191003000000001
285.8278.9280.0(p)281.4(p)-4.4(p)-1.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU48191004000000001
804.9787.7789.2(p)806.5(p)1.6(p)0.2

Information

Go to web page with historical data for series SMU48191005000000001
82.379.379.5(p)80.2(p)-2.1(p)-2.6

Financial activities

Go to web page with historical data for series SMU48191005500000001
321.5332.0331.2(p)334.2(p)12.7(p)4.0

Professional and business services

Go to web page with historical data for series SMU48191006000000001
647.0646.2645.2(p)654.9(p)7.9(p)1.2

Education and health services

Go to web page with historical data for series SMU48191006500000001
469.5434.7434.5(p)440.2(p)-29.3(p)-6.2

Leisure and hospitality

Go to web page with historical data for series SMU48191007000000001
399.4322.2322.7(p)332.2(p)-67.2(p)-16.8

Other services

Go to web page with historical data for series SMU48191008000000001
129.6120.9119.1(p)121.7(p)-7.9(p)-6.1

Government

Go to web page with historical data for series SMU48191009000000001
452.1427.9442.9(p)449.2(p)-2.9(p)-0.6

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

Go to web page with historical data for series SMU48264200000000001
3,181.92,971.92,991.6(p)3,030.3(p)-151.6(p)-4.8

Mining and logging

Go to web page with historical data for series SMU48264201000000001
79.760.962.8(p)64.1(p)-15.6(p)-19.6

Construction

Go to web page with historical data for series SMU48264202000000001
240.0215.9215.8(p)220.2(p)-19.8(p)-8.3

Manufacturing

Go to web page with historical data for series SMU48264203000000001
233.6213.7214.7(p)214.5(p)-19.1(p)-8.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU48264204000000001
630.5610.2607.7(p)615.5(p)-15.0(p)-2.4

Information

Go to web page with historical data for series SMU48264205000000001
32.428.929.1(p)29.3(p)-3.1(p)-9.6

Financial activities

Go to web page with historical data for series SMU48264205500000001
167.8164.1162.2(p)164.4(p)-3.4(p)-2.0

Professional and business services

Go to web page with historical data for series SMU48264206000000001
515.3508.9508.6(p)516.1(p)0.8(p)0.2

Education and health services

Go to web page with historical data for series SMU48264206500000001
409.6398.1396.5(p)399.1(p)-10.5(p)-2.6

Leisure and hospitality

Go to web page with historical data for series SMU48264207000000001
335.5280.9283.9(p)289.7(p)-45.8(p)-13.7

Other services

Go to web page with historical data for series SMU48264208000000001
115.7104.098.9(p)102.9(p)-12.8(p)-11.1

Government

Go to web page with historical data for series SMU48264209000000001
421.8386.3411.4(p)414.5(p)-7.3(p)-1.7

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

Go to web page with historical data for series SMU06310800000000001
6,293.15,572.85,659.9(p)5,773.1(p)-520.0(p)-8.3

Mining and logging

Go to web page with historical data for series SMU06310801000000001
2.42.22.2(p)2.2(p)-0.2(p)-8.3

Construction

Go to web page with historical data for series SMU06310802000000001
260.3252.3253.6(p)261.8(p)1.5(p)0.6

Manufacturing

Go to web page with historical data for series SMU06310803000000001
497.6454.7458.2(p)458.4(p)-39.2(p)-7.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU06310804000000001
1,111.21,032.91,042.4(p)1,060.9(p)-50.3(p)-4.5

Information

Go to web page with historical data for series SMU06310805000000001
245.2209.2208.5(p)213.1(p)-32.1(p)-13.1

Financial activities

Go to web page with historical data for series SMU06310805500000001
343.5335.8332.6(p)337.5(p)-6.0(p)-1.7

Professional and business services

Go to web page with historical data for series SMU06310806000000001
982.0895.9903.3(p)920.6(p)-61.4(p)-6.3

Education and health services

Go to web page with historical data for series SMU06310806500000001
1,091.61,017.51,027.4(p)1,043.2(p)-48.4(p)-4.4

Leisure and hospitality

Go to web page with historical data for series SMU06310807000000001
778.7526.7545.3(p)574.1(p)-204.6(p)-26.3

Other services

Go to web page with historical data for series SMU06310808000000001
213.1162.3164.5(p)169.0(p)-44.1(p)-20.7

Government

Go to web page with historical data for series SMU06310809000000001
767.5683.3721.9(p)732.3(p)-35.2(p)-4.6

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

Go to web page with historical data for series SMU12331000000000001
2,729.52,493.82,517.9(p)2,550.5(p)-179.0(p)-6.6

Mining and logging

Go to web page with historical data for series SMU12331001000000001
0.70.80.8(p)0.8(p)0.1(p)14.3

Construction

Go to web page with historical data for series SMU12331002000000001
143.5138.3137.8(p)138.9(p)-4.6(p)-3.2

Manufacturing

Go to web page with historical data for series SMU12331003000000001
91.285.787.5(p)89.0(p)-2.2(p)-2.4

Trade, transportation, and utilities

Go to web page with historical data for series SMU12331004000000001
617.9581.0581.6(p)591.4(p)-26.5(p)-4.3

Information

Go to web page with historical data for series SMU12331005000000001
50.746.947.2(p)47.8(p)-2.9(p)-5.7

Financial activities

Go to web page with historical data for series SMU12331005500000001
190.3189.3190.2(p)190.9(p)0.6(p)0.3

Professional and business services

Go to web page with historical data for series SMU12331006000000001
452.6424.4427.2(p)431.9(p)-20.7(p)-4.6

Education and health services

Go to web page with historical data for series SMU12331006500000001
413.5380.0383.8(p)387.2(p)-26.3(p)-6.4

Leisure and hospitality

Go to web page with historical data for series SMU12331007000000001
327.4241.9248.7(p)260.5(p)-66.9(p)-20.4

Other services

Go to web page with historical data for series SMU12331008000000001
119.8108.3108.5(p)109.0(p)-10.8(p)-9.0

Government

Go to web page with historical data for series SMU12331009000000001
321.9297.2304.6(p)303.1(p)-18.8(p)-5.8

New York-Newark-Jersey City, NY-NJ-PA

Total nonfarm

Go to web page with historical data for series SMU36356200000000001
10,052.58,751.78,934.2(p)9,034.9(p)-1,017.6(p)-10.1

Mining, logging, and construction

Go to web page with historical data for series SMU36356201500000001
422.8380.2382.4(p)383.5(p)-39.3(p)-9.3

Manufacturing

Go to web page with historical data for series SMU36356203000000001
357.9327.9326.4(p)328.1(p)-29.8(p)-8.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU36356204000000001
1,733.61,536.81,560.3(p)1,587.2(p)-146.4(p)-8.4

Information

Go to web page with historical data for series SMU36356205000000001
296.7283.9283.4(p)287.0(p)-9.7(p)-3.3

Financial activities

Go to web page with historical data for series SMU36356205500000001
789.6760.0756.9(p)753.0(p)-36.6(p)-4.6

Professional and business services

Go to web page with historical data for series SMU36356206000000001
1,632.31,450.21,453.5(p)1,475.8(p)-156.5(p)-9.6

Education and health services

Go to web page with historical data for series SMU36356206500000001
2,095.31,853.61,891.3(p)1,939.1(p)-156.2(p)-7.5

Leisure and hospitality

Go to web page with historical data for series SMU36356207000000001
943.9586.6598.0(p)604.6(p)-339.3(p)-35.9

Other services

Go to web page with historical data for series SMU36356208000000001
431.1367.1370.3(p)372.4(p)-58.7(p)-13.6

Government

Go to web page with historical data for series SMU36356209000000001
1,349.31,205.41,311.7(p)1,304.2(p)-45.1(p)-3.3

Philadelphia-Camden-Wilmington, PA-NJ-DE-MD

Total nonfarm

Go to web page with historical data for series SMU42379800000000001
3,005.22,729.62,765.7(p)2,804.6(p)-200.6(p)-6.7

Mining, logging, and construction

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124.3109.2108.2(p)109.3(p)-15.0(p)-12.1

Manufacturing

Go to web page with historical data for series SMU42379803000000001
182.8175.6174.6(p)174.4(p)-8.4(p)-4.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU42379804000000001
530.6493.4498.5(p)504.7(p)-25.9(p)-4.9

Information

Go to web page with historical data for series SMU42379805000000001
49.646.946.4(p)46.7(p)-2.9(p)-5.8

Financial activities

Go to web page with historical data for series SMU42379805500000001
218.5211.7210.9(p)211.2(p)-7.3(p)-3.3

Professional and business services

Go to web page with historical data for series SMU42379806000000001
475.2448.0444.2(p)452.7(p)-22.5(p)-4.7

Education and health services

Go to web page with historical data for series SMU42379806500000001
678.2625.0643.4(p)656.9(p)-21.3(p)-3.1

Leisure and hospitality

Go to web page with historical data for series SMU42379807000000001
278.0196.1197.8(p)204.7(p)-73.3(p)-26.4

Other services

Go to web page with historical data for series SMU42379808000000001
122.8107.9107.3(p)108.1(p)-14.7(p)-12.0

Government

Go to web page with historical data for series SMU42379809000000001
345.2315.8334.4(p)335.9(p)-9.3(p)-2.7

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

Go to web page with historical data for series SMU04380600000000001
2,216.92,099.62,130.1(p)2,164.8(p)-52.1(p)-2.4

Mining and logging

Go to web page with historical data for series SMU04380601000000001
3.63.53.3(p)3.3(p)-0.3(p)-8.3

Construction

Go to web page with historical data for series SMU04380602000000001
136.5132.7134.6(p)136.6(p)0.1(p)0.1

Manufacturing

Go to web page with historical data for series SMU04380603000000001
134.5130.3130.9(p)131.2(p)-3.3(p)-2.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU04380604000000001
413.0413.2417.5(p)422.4(p)9.4(p)2.3

Information

Go to web page with historical data for series SMU04380605000000001
40.938.438.1(p)38.1(p)-2.8(p)-6.8

Financial activities

Go to web page with historical data for series SMU04380605500000001
206.4204.3205.0(p)206.9(p)0.5(p)0.2

Professional and business services

Go to web page with historical data for series SMU04380606000000001
375.7345.5350.3(p)362.5(p)-13.2(p)-3.5

Education and health services

Go to web page with historical data for series SMU04380606500000001
345.8337.0339.5(p)344.7(p)-1.1(p)-0.3

Leisure and hospitality

Go to web page with historical data for series SMU04380607000000001
234.7180.9189.9(p)197.1(p)-37.6(p)-16.0

Other services

Go to web page with historical data for series SMU04380608000000001
71.871.772.1(p)73.0(p)1.2(p)1.7

Government

Go to web page with historical data for series SMU04380609000000001
254.0242.1248.9(p)249.0(p)-5.0(p)-2.0

San Francisco-Oakland-Hayward, CA

Total nonfarm

Go to web page with historical data for series SMU06418600000000001
2,502.22,214.02,224.9(p)2,255.9(p)-246.3(p)-9.8

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
130.1115.4117.1(p)118.1(p)-12.0(p)-9.2

Manufacturing

Go to web page with historical data for series SMU06418603000000001
143.3127.0127.4(p)127.4(p)-15.9(p)-11.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU06418604000000001
373.3338.0340.1(p)340.9(p)-32.4(p)-8.7

Information

Go to web page with historical data for series SMU06418605000000001
130.4120.9119.4(p)118.6(p)-11.8(p)-9.0

Financial activities

Go to web page with historical data for series SMU06418605500000001
148.0147.8148.4(p)150.0(p)2.0(p)1.4

Professional and business services

Go to web page with historical data for series SMU06418606000000001
509.5485.5482.4(p)490.1(p)-19.4(p)-3.8

Education and health services

Go to web page with historical data for series SMU06418606500000001
367.6335.7338.8(p)343.0(p)-24.6(p)-6.7

Leisure and hospitality

Go to web page with historical data for series SMU06418607000000001
286.5187.2190.0(p)200.1(p)-86.4(p)-30.2

Other services

Go to web page with historical data for series SMU06418608000000001
88.369.670.3(p)72.3(p)-16.0(p)-18.1

Government

Go to web page with historical data for series SMU06418609000000001
324.9286.6290.7(p)295.1(p)-29.8(p)-9.2

Washington-Arlington-Alexandria, DC-VA-MD-WV

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,377.23,142.63,172.0(p)3,203.5(p)-173.7(p)-5.1

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
166.6166.7165.9(p)167.3(p)0.7(p)0.4

Manufacturing

Go to web page with historical data for series SMU11479003000000001
57.454.354.9(p)54.6(p)-2.8(p)-4.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
408.9383.1385.6(p)391.7(p)-17.2(p)-4.2

Information

Go to web page with historical data for series SMU11479005000000001
77.673.573.6(p)73.8(p)-3.8(p)-4.9

Financial activities

Go to web page with historical data for series SMU11479005500000001
162.2158.3159.5(p)159.6(p)-2.6(p)-1.6

Professional and business services

Go to web page with historical data for series SMU11479006000000001
787.4770.1765.3(p)772.8(p)-14.6(p)-1.9

Education and health services

Go to web page with historical data for series SMU11479006500000001
452.0407.0413.4(p)418.2(p)-33.8(p)-7.5

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
335.5241.6249.2(p)257.7(p)-77.8(p)-23.2

Other services

Go to web page with historical data for series SMU11479008000000001
211.5204.3204.1(p)203.3(p)-8.2(p)-3.9

Government

Go to web page with historical data for series SMU11479009000000001
718.1683.7700.5(p)704.5(p)-13.6(p)-1.9

Footnotes
(p) Preliminary

 

Last Modified Date: Friday, December 11, 2020