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News Release Information

20-1710-PHI
Tuesday, September 08, 2020

Contacts

Technical information:
Media contact:

Washington Area Employment – July 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 3,127,000 in July 2020, down 244,800, or 7.3 percent, over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count decreased 7.7 percent. Sheila Watkins, the Bureau’s regional commissioner, noted that in July the Washington area had its fourth 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 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, lost 210,600 jobs over the year. The Silver Spring-Frederick-Rockville, MD Metropolitan Division, which represented the remaining 18 percent of area employment, lost 34,200 jobs since July 2019.

Industry employment

In the greater Washington metropolitan area, leisure and hospitality had the largest employment decrease from July 2019 to July 2020, losing 105,800 jobs. The Washington area’s 30.0-percent decrease in leisure and hospitality employment was greater than the 24.2-percent decrease nationally. (See chart 2.) Ninety-four percent of the local job losses in this supersector were in the Washington division.

Education and health services (-37,000) and government (-30,600) had the next largest over-the-year local job losses. The local rate of job loss in education and health services (-8.4 percent) was faster than the 5.1-percent loss for the nation. Government employment decreased 4.4 percent in the Washington area, compared to 4.5 percent nationally.

Over-the-year job losses in the remaining local area supersectors ranged from 26,800 in trade, transportation, and utilities to 2,100 in mining, logging, and construction.

Employment in the 12 largest metropolitan areas

Washington-Arlington-Alexandria was 1 of the nation’s 12 largest metropolitan statistical areas in July 2020. All 12 areas had over-the-year job loss during the period, with the rates of job loss in 6 areas exceeding the national decrease of 7.7 percent. New York-Newark-Jersey City had the fastest rate of job loss (-13.6 percent), followed by Boston-Cambridge-Nashua (-12.1 percent). Phoenix-Mesa-Scottsdale (-3.5 percent) had the slowest rate of job loss. (See chart 3 and table 2.)

New York lost the largest number of jobs over the year (-1,354,700), followed by Los Angeles-Long Beach-Anaheim (-628,000). The smallest employment loss occurred in Phoenix (-74,000). Annual losses in the remaining nine metropolitan areas ranged from 396,000 in Chicago-Naperville-Elgin to 135,000 in Atlanta-Sandy Springs-Roswell.

Over the year, leisure and hospitality lost the most jobs in all 12 metropolitan areas. New York had the largest loss of jobs for this sector (-439,800), followed by Los Angeles (-242,500). Atlanta and Phoenix had the smallest job losses for the leisure and hospitality sector (-48,300 each). The remaining eight areas had job losses ranging from 138,000 in Chicago to 60,500 in Houston-The Woodlands-Sugar Land for this industry sector.

Phoenix had over-the-year employment gains in three sectors: trade, transportation, and utilities (5,900); education and health services (4,300); and other services (1,000). Dallas-Fort Worth-Arlington added 10,700 jobs in financial activities. No other area had job gains over 1,000.

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

Coronavirus (COVID-19) Pandemic Impact on July 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 June final and July 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 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 April 10, 2018. 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
Jul
2019
May
2020
Jun
2020
Jul
2020
Jul 2019 to
Jul 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
3,371.83,038.13,119.2(p)3,127.0(p)-244.8(p)-7.3

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
167.9157.5162.9(p)165.8(p)-2.1(p)-1.3

Manufacturing

Go to web page with historical data for series SMU11479003000000001
57.453.854.4(p)54.4(p)-3.0(p)-5.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
408.0363.0374.6(p)381.2(p)-26.8(p)-6.6

Information

Go to web page with historical data for series SMU11479005000000001
77.773.673.2(p)73.9(p)-3.8(p)-4.9

Financial activities

Go to web page with historical data for series SMU11479005500000001
162.5159.3158.1(p)157.7(p)-4.8(p)-3.0

Professional and business services

Go to web page with historical data for series SMU11479006000000001
789.8755.3764.6(p)768.7(p)-21.1(p)-2.7

Education and health services

Go to web page with historical data for series SMU11479006500000001
442.7399.5408.0(p)405.7(p)-37.0(p)-8.4

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
352.1185.5223.4(p)246.3(p)-105.8(p)-30.0

Other services

Go to web page with historical data for series SMU11479008000000001
213.8196.0203.5(p)204.0(p)-9.8(p)-4.6

Government

Go to web page with historical data for series SMU11479009000000001
699.9694.6696.5(p)669.3(p)-30.6(p)-4.4

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

Total nonfarm

Go to web page with historical data for series SMU11478940000000001
2,763.62,498.82,560.9(p)2,553.0(p)-210.6(p)-7.6

Mining, logging, and construction

Go to web page with historical data for series SMU11478941500000001
132.6125.4129.3(p)132.0(p)-0.6(p)-0.5

Manufacturing

Go to web page with historical data for series SMU11478943000000001
38.235.835.8(p)35.7(p)-2.5(p)-6.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU11478944000000001
330.4295.6305.4(p)311.2(p)-19.2(p)-5.8

Information

Go to web page with historical data for series SMU11478945000000001
66.063.863.7(p)64.5(p)-1.5(p)-2.3

Financial activities

Go to web page with historical data for series SMU11478945500000001
124.7122.9120.7(p)120.4(p)-4.3(p)-3.4

Professional and business services

Go to web page with historical data for series SMU11478946000000001
654.0628.4635.6(p)638.3(p)-15.7(p)-2.4

Education and health services

Go to web page with historical data for series SMU11478946500000001
345.9313.7318.3(p)316.1(p)-29.8(p)-8.6

Leisure and hospitality

Go to web page with historical data for series SMU11478947000000001
292.1151.8182.5(p)192.6(p)-99.5(p)-34.1

Other services

Go to web page with historical data for series SMU11478948000000001
187.8177.2182.8(p)182.3(p)-5.5(p)-2.9

Government

Go to web page with historical data for series SMU11478949000000001
591.9584.2586.8(p)559.9(p)-32.0(p)-5.4

Silver Spring-Frederick-Rockville, Md. Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU24435240000000001
608.2539.3558.3(p)574.0(p)-34.2(p)-5.6

Mining, logging, and construction

Go to web page with historical data for series SMU24435241500000001
35.332.133.6(p)33.8(p)-1.5(p)-4.2

Manufacturing

Go to web page with historical data for series SMU24435243000000001
19.218.018.6(p)18.7(p)-0.5(p)-2.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU24435244000000001
77.667.469.2(p)70.0(p)-7.6(p)-9.8

Information

Go to web page with historical data for series SMU24435245000000001
11.79.89.5(p)9.4(p)-2.3(p)-19.7

Financial activities

Go to web page with historical data for series SMU24435245500000001
37.836.437.4(p)37.3(p)-0.5(p)-1.3

Professional and business services

Go to web page with historical data for series SMU24435246000000001
135.8126.9129.0(p)130.4(p)-5.4(p)-4.0

Education and health services

Go to web page with historical data for series SMU24435246500000001
96.885.889.7(p)89.6(p)-7.2(p)-7.4

Leisure and hospitality

Go to web page with historical data for series SMU24435247000000001
60.033.740.9(p)53.7(p)-6.3(p)-10.5

Other services

Go to web page with historical data for series SMU24435248000000001
26.018.820.7(p)21.7(p)-4.3(p)-16.5

Government

Go to web page with historical data for series SMU24435249000000001
108.0110.4109.7(p)109.4(p)1.4(p)1.3

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
Jul
2019
May
2020
Jun
2020
Jul
2020
Jul 2019 to
Jul 2020
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
150,699133,432138,502(p)139,063(p)-11,636(p)-7.7

Mining and logging

Go to web page with historical data for series CEU1000000001
746631630(p)630(p)-116(p)-15.5

Construction

Go to web page with historical data for series CEU2000000001
7,7537,0767,365(p)7,426(p)-327(p)-4.2

Manufacturing

Go to web page with historical data for series CEU3000000001
12,91911,69712,139(p)12,175(p)-744(p)-5.8

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
27,67124,76525,868(p)26,087(p)-1,584(p)-5.7

Information

Go to web page with historical data for series CEU5000000001
2,8832,5622,584(p)2,585(p)-298(p)-10.3

Financial activities

Go to web page with historical data for series CEU5500000001
8,8368,5648,648(p)8,682(p)-154(p)-1.7

Professional and business services

Go to web page with historical data for series CEU6000000001
21,45619,39619,838(p)20,002(p)-1,454(p)-6.8

Education and health services

Go to web page with historical data for series CEU6500000001
23,86322,23122,556(p)22,649(p)-1,214(p)-5.1

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
17,28910,10912,437(p)13,139(p)-4,150(p)-24.0

Other services

Go to web page with historical data for series CEU8000000001
5,9794,8355,246(p)5,405(p)-574(p)-9.6

Government

Go to web page with historical data for series CEU9000000001
21,30421,56621,191(p)20,283(p)-1,021(p)-4.8

Atlanta-Sandy Springs-Roswell, Ga.

Total nonfarm

Go to web page with historical data for series SMU13120600000000001
2,838.22,600.32,687.9(p)2,703.2(p)-135.0(p)-4.8

Mining and logging

Go to web page with historical data for series SMU13120601000000001
1.61.61.5(p)1.5(p)-0.1(p)-6.3

Construction

Go to web page with historical data for series SMU13120602000000001
130.9126.3127.8(p)127.1(p)-3.8(p)-2.9

Manufacturing

Go to web page with historical data for series SMU13120603000000001
172.8153.1159.7(p)161.0(p)-11.8(p)-6.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU13120604000000001
599.7575.0588.0(p)588.0(p)-11.7(p)-2.0

Information

Go to web page with historical data for series SMU13120605000000001
101.290.391.2(p)91.6(p)-9.6(p)-9.5

Financial activities

Go to web page with historical data for series SMU13120605500000001
179.1172.5174.1(p)172.4(p)-6.7(p)-3.7

Professional and business services

Go to web page with historical data for series SMU13120606000000001
548.9504.1515.9(p)516.7(p)-32.2(p)-5.9

Education and health services

Go to web page with historical data for series SMU13120606500000001
365.2357.3362.5(p)363.9(p)-1.3(p)-0.4

Leisure and hospitality

Go to web page with historical data for series SMU13120607000000001
311.9207.3250.6(p)263.6(p)-48.3(p)-15.5

Other services

Go to web page with historical data for series SMU13120608000000001
105.388.094.4(p)96.0(p)-9.3(p)-8.8

Government

Go to web page with historical data for series SMU13120609000000001
321.6324.8322.2(p)321.4(p)-0.2(p)-0.1

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

Total nonfarm

Go to web page with historical data for series SMU25716500000000001
2,826.42,360.92,446.4(p)2,485.3(p)-341.1(p)-12.1

Mining, logging, and construction

Go to web page with historical data for series SMU25716501500000001
127.390.4106.4(p)110.9(p)-16.4(p)-12.9

Manufacturing

Go to web page with historical data for series SMU25716503000000001
189.9172.6175.4(p)176.3(p)-13.6(p)-7.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU25716504000000001
426.2341.1364.0(p)373.6(p)-52.6(p)-12.3

Information

Go to web page with historical data for series SMU25716505000000001
83.980.379.5(p)80.4(p)-3.5(p)-4.2

Financial activities

Go to web page with historical data for series SMU25716505500000001
190.9183.3185.5(p)186.0(p)-4.9(p)-2.6

Professional and business services

Go to web page with historical data for series SMU25716506000000001
525.8482.0490.7(p)494.0(p)-31.8(p)-6.0

Education and health services

Go to web page with historical data for series SMU25716506500000001
582.3527.0525.0(p)531.5(p)-50.8(p)-8.7

Leisure and hospitality

Go to web page with historical data for series SMU25716507000000001
297.2120.4157.6(p)184.2(p)-113.0(p)-38.0

Other services

Go to web page with historical data for series SMU25716508000000001
108.865.670.9(p)76.8(p)-32.0(p)-29.4

Government

Go to web page with historical data for series SMU25716509000000001
294.1298.2291.4(p)271.6(p)-22.5(p)-7.7

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

Total nonfarm

Go to web page with historical data for series SMU17169800000000001
4,796.44,203.24,344.8(p)4,400.4(p)-396.0(p)-8.3

Mining and logging

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

Construction

Go to web page with historical data for series SMU17169802000000001
190.4171.0179.0(p)181.8(p)-8.6(p)-4.5

Manufacturing

Go to web page with historical data for series SMU17169803000000001
422.1389.1402.4(p)400.6(p)-21.5(p)-5.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU17169804000000001
949.5860.4893.2(p)898.7(p)-50.8(p)-5.4

Information

Go to web page with historical data for series SMU17169805000000001
78.575.675.7(p)75.4(p)-3.1(p)-3.9

Financial activities

Go to web page with historical data for series SMU17169805500000001
322.9308.8311.2(p)313.0(p)-9.9(p)-3.1

Professional and business services

Go to web page with historical data for series SMU17169806000000001
848.0762.9778.7(p)789.2(p)-58.8(p)-6.9

Education and health services

Go to web page with historical data for series SMU17169806500000001
725.1681.6690.3(p)692.1(p)-33.0(p)-4.6

Leisure and hospitality

Go to web page with historical data for series SMU17169807000000001
517.8272.5329.1(p)379.8(p)-138.0(p)-26.7

Other services

Go to web page with historical data for series SMU17169808000000001
201.6162.8179.5(p)180.2(p)-21.4(p)-10.6

Government

Go to web page with historical data for series SMU17169809000000001
538.6516.7504.0(p)488.0(p)-50.6(p)-9.4

Dallas-Fort Worth-Arlington, Texas

Total nonfarm

Go to web page with historical data for series SMU48191000000000001
3,780.63,542.73,642.0(p)3,629.1(p)-151.5(p)-4.0

Mining, logging, and construction

Go to web page with historical data for series SMU48191001500000001
230.0223.9229.8(p)230.0(p)0.0(p)0.0

Manufacturing

Go to web page with historical data for series SMU48191003000000001
290.8278.4280.0(p)280.2(p)-10.6(p)-3.6

Trade, transportation, and utilities

Go to web page with historical data for series SMU48191004000000001
792.5764.4782.8(p)779.8(p)-12.7(p)-1.6

Information

Go to web page with historical data for series SMU48191005000000001
82.180.080.1(p)79.3(p)-2.8(p)-3.4

Financial activities

Go to web page with historical data for series SMU48191005500000001
320.8324.5328.5(p)331.5(p)10.7(p)3.3

Professional and business services

Go to web page with historical data for series SMU48191006000000001
645.6608.8626.4(p)631.6(p)-14.0(p)-2.2

Education and health services

Go to web page with historical data for series SMU48191006500000001
459.9426.7431.4(p)427.6(p)-32.3(p)-7.0

Leisure and hospitality

Go to web page with historical data for series SMU48191007000000001
403.6284.6334.0(p)328.6(p)-75.0(p)-18.6

Other services

Go to web page with historical data for series SMU48191008000000001
130.2115.4121.2(p)118.8(p)-11.4(p)-8.8

Government

Go to web page with historical data for series SMU48191009000000001
425.1436.0427.8(p)421.7(p)-3.4(p)-0.8

Houston-The Woodlands-Sugar Land, Texas

Total nonfarm

Go to web page with historical data for series SMU48264200000000001
3,146.62,931.92,980.4(p)2,958.2(p)-188.4(p)-6.0

Mining and logging

Go to web page with historical data for series SMU48264201000000001
79.961.961.5(p)60.6(p)-19.3(p)-24.2

Construction

Go to web page with historical data for series SMU48264202000000001
236.4220.2218.7(p)217.3(p)-19.1(p)-8.1

Manufacturing

Go to web page with historical data for series SMU48264203000000001
237.9222.4219.7(p)216.1(p)-21.8(p)-9.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU48264204000000001
626.0600.5607.6(p)604.9(p)-21.1(p)-3.4

Information

Go to web page with historical data for series SMU48264205000000001
32.929.529.6(p)29.4(p)-3.5(p)-10.6

Financial activities

Go to web page with historical data for series SMU48264205500000001
167.6163.3164.5(p)164.8(p)-2.8(p)-1.7

Professional and business services

Go to web page with historical data for series SMU48264206000000001
509.4486.5500.8(p)506.2(p)-3.2(p)-0.6

Education and health services

Go to web page with historical data for series SMU48264206500000001
401.1389.7395.7(p)397.4(p)-3.7(p)-0.9

Leisure and hospitality

Go to web page with historical data for series SMU48264207000000001
340.1256.8285.0(p)279.6(p)-60.5(p)-17.8

Other services

Go to web page with historical data for series SMU48264208000000001
116.292.198.7(p)100.8(p)-15.4(p)-13.3

Government

Go to web page with historical data for series SMU48264209000000001
399.1409.0398.6(p)381.1(p)-18.0(p)-4.5

Los Angeles-Long Beach-Anaheim, Calif.

Total nonfarm

Go to web page with historical data for series SMU06310800000000001
6,186.05,366.85,579.3(p)5,558.0(p)-628.0(p)-10.2

Mining and logging

Go to web page with historical data for series SMU06310801000000001
2.52.32.3(p)2.3(p)-0.2(p)-8.0

Construction

Go to web page with historical data for series SMU06310802000000001
259.9244.5251.4(p)249.1(p)-10.8(p)-4.2

Manufacturing

Go to web page with historical data for series SMU06310803000000001
500.3443.6457.1(p)458.5(p)-41.8(p)-8.4

Trade, transportation, and utilities

Go to web page with historical data for series SMU06310804000000001
1,105.9969.51,010.4(p)1,025.5(p)-80.4(p)-7.3

Information

Go to web page with historical data for series SMU06310805000000001
229.4196.1200.2(p)201.9(p)-27.5(p)-12.0

Financial activities

Go to web page with historical data for series SMU06310805500000001
343.1330.1331.4(p)337.3(p)-5.8(p)-1.7

Professional and business services

Go to web page with historical data for series SMU06310806000000001
973.0864.5888.1(p)897.2(p)-75.8(p)-7.8

Education and health services

Go to web page with historical data for series SMU06310806500000001
1,061.9994.81,014.1(p)1,013.6(p)-48.3(p)-4.5

Leisure and hospitality

Go to web page with historical data for series SMU06310807000000001
783.2436.8542.1(p)540.7(p)-242.5(p)-31.0

Other services

Go to web page with historical data for series SMU06310808000000001
211.5149.5160.2(p)166.5(p)-45.0(p)-21.3

Government

Go to web page with historical data for series SMU06310809000000001
715.3735.1722.0(p)665.4(p)-49.9(p)-7.0

Miami-Fort Lauderdale-West Palm Beach, Fla.

Total nonfarm

Go to web page with historical data for series SMU12331000000000001
2,678.92,427.82,493.0(p)2,476.4(p)-202.5(p)-7.6

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
142.8138.7142.0(p)139.9(p)-2.9(p)-2.0

Manufacturing

Go to web page with historical data for series SMU12331003000000001
91.483.284.5(p)85.6(p)-5.8(p)-6.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU12331004000000001
609.4556.7573.8(p)576.8(p)-32.6(p)-5.3

Information

Go to web page with historical data for series SMU12331005000000001
50.547.848.0(p)47.0(p)-3.5(p)-6.9

Financial activities

Go to web page with historical data for series SMU12331005500000001
189.1187.3189.2(p)189.9(p)0.8(p)0.4

Professional and business services

Go to web page with historical data for series SMU12331006000000001
451.7409.7420.2(p)420.4(p)-31.3(p)-6.9

Education and health services

Go to web page with historical data for series SMU12331006500000001
402.0379.8381.7(p)376.1(p)-25.9(p)-6.4

Leisure and hospitality

Go to web page with historical data for series SMU12331007000000001
326.3210.8254.9(p)241.1(p)-85.2(p)-26.1

Other services

Go to web page with historical data for series SMU12331008000000001
120.5101.7108.1(p)110.6(p)-9.9(p)-8.2

Government

Go to web page with historical data for series SMU12331009000000001
294.5311.3289.8(p)288.2(p)-6.3(p)-2.1

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

Total nonfarm

Go to web page with historical data for series SMU36356200000000001
9,980.68,181.08,508.1(p)8,625.9(p)-1,354.7(p)-13.6

Mining, logging, and construction

Go to web page with historical data for series SMU36356201500000001
428.6308.6359.2(p)377.6(p)-51.0(p)-11.9

Manufacturing

Go to web page with historical data for series SMU36356203000000001
361.4311.5324.4(p)325.8(p)-35.6(p)-9.9

Trade, transportation, and utilities

Go to web page with historical data for series SMU36356204000000001
1,722.41,379.91,461.7(p)1,522.4(p)-200.0(p)-11.6

Information

Go to web page with historical data for series SMU36356205000000001
297.9273.3277.0(p)278.6(p)-19.3(p)-6.5

Financial activities

Go to web page with historical data for series SMU36356205500000001
802.2745.4746.8(p)751.4(p)-50.8(p)-6.3

Professional and business services

Go to web page with historical data for series SMU36356206000000001
1,630.41,402.21,426.1(p)1,445.4(p)-185.0(p)-11.3

Education and health services

Go to web page with historical data for series SMU36356206500000001
2,003.61,809.91,839.8(p)1,852.7(p)-150.9(p)-7.5

Leisure and hospitality

Go to web page with historical data for series SMU36356207000000001
1,002.4373.6475.4(p)562.6(p)-439.8(p)-43.9

Other services

Go to web page with historical data for series SMU36356208000000001
430.5298.0322.6(p)359.3(p)-71.2(p)-16.5

Government

Go to web page with historical data for series SMU36356209000000001
1,301.21,278.61,275.1(p)1,150.1(p)-151.1(p)-11.6

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

Total nonfarm

Go to web page with historical data for series SMU42379800000000001
2,961.92,587.02,680.1(p)2,707.0(p)-254.9(p)-8.6

Mining, logging, and construction

Go to web page with historical data for series SMU42379801500000001
123.9100.1106.4(p)107.6(p)-16.3(p)-13.2

Manufacturing

Go to web page with historical data for series SMU42379803000000001
185.3172.8176.8(p)176.1(p)-9.2(p)-5.0

Trade, transportation, and utilities

Go to web page with historical data for series SMU42379804000000001
525.4459.7481.0(p)486.0(p)-39.4(p)-7.5

Information

Go to web page with historical data for series SMU42379805000000001
50.246.546.9(p)47.2(p)-3.0(p)-6.0

Financial activities

Go to web page with historical data for series SMU42379805500000001
219.5210.6210.3(p)212.1(p)-7.4(p)-3.4

Professional and business services

Go to web page with historical data for series SMU42379806000000001
473.7437.1446.4(p)448.3(p)-25.4(p)-5.4

Education and health services

Go to web page with historical data for series SMU42379806500000001
650.4605.3618.4(p)616.8(p)-33.6(p)-5.2

Leisure and hospitality

Go to web page with historical data for series SMU42379807000000001
291.6135.2169.2(p)194.4(p)-97.2(p)-33.3

Other services

Go to web page with historical data for series SMU42379808000000001
124.685.395.5(p)108.7(p)-15.9(p)-12.8

Government

Go to web page with historical data for series SMU42379809000000001
317.3334.4329.2(p)309.8(p)-7.5(p)-2.4

Phoenix-Mesa-Scottsdale, Ariz.

Total nonfarm

Go to web page with historical data for series SMU04380600000000001
2,123.52,043.82,060.7(p)2,049.5(p)-74.0(p)-3.5

Mining and logging

Go to web page with historical data for series SMU04380601000000001
3.63.73.6(p)3.6(p)0.0(p)0.0

Construction

Go to web page with historical data for series SMU04380602000000001
136.2133.6133.4(p)132.2(p)-4.0(p)-2.9

Manufacturing

Go to web page with historical data for series SMU04380603000000001
134.0127.5130.5(p)129.9(p)-4.1(p)-3.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU04380604000000001
403.4399.8407.7(p)409.3(p)5.9(p)1.5

Information

Go to web page with historical data for series SMU04380605000000001
40.637.437.8(p)38.1(p)-2.5(p)-6.2

Financial activities

Go to web page with historical data for series SMU04380605500000001
202.9201.4203.4(p)202.7(p)-0.2(p)-0.1

Professional and business services

Go to web page with historical data for series SMU04380606000000001
368.2339.5341.9(p)342.4(p)-25.8(p)-7.0

Education and health services

Go to web page with historical data for series SMU04380606500000001
327.5324.9330.4(p)331.8(p)4.3(p)1.3

Leisure and hospitality

Go to web page with historical data for series SMU04380607000000001
224.8167.3189.4(p)176.5(p)-48.3(p)-21.5

Other services

Go to web page with historical data for series SMU04380608000000001
70.568.271.6(p)71.5(p)1.0(p)1.4

Government

Go to web page with historical data for series SMU04380609000000001
211.8240.5211.0(p)211.5(p)-0.3(p)-0.1

San Francisco-Oakland-Hayward, Calif.

Total nonfarm

Go to web page with historical data for series SMU06418600000000001
2,484.32,128.32,199.8(p)2,206.7(p)-277.6(p)-11.2

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
130.6108.5115.9(p)114.9(p)-15.7(p)-12.0

Manufacturing

Go to web page with historical data for series SMU06418603000000001
144.1122.7125.4(p)126.6(p)-17.5(p)-12.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU06418604000000001
372.5317.2328.5(p)336.3(p)-36.2(p)-9.7

Information

Go to web page with historical data for series SMU06418605000000001
130.5117.7119.9(p)121.3(p)-9.2(p)-7.0

Financial activities

Go to web page with historical data for series SMU06418605500000001
148.6144.0146.2(p)146.6(p)-2.0(p)-1.3

Professional and business services

Go to web page with historical data for series SMU06418606000000001
507.6474.5480.9(p)483.2(p)-24.4(p)-4.8

Education and health services

Go to web page with historical data for series SMU06418606500000001
360.8329.6333.7(p)335.0(p)-25.8(p)-7.2

Leisure and hospitality

Go to web page with historical data for series SMU06418607000000001
287.9144.7181.5(p)186.6(p)-101.3(p)-35.2

Other services

Go to web page with historical data for series SMU06418608000000001
90.564.568.5(p)71.4(p)-19.1(p)-21.1

Government

Go to web page with historical data for series SMU06418609000000001
310.9304.6299.0(p)284.5(p)-26.4(p)-8.5

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

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,371.83,038.13,119.2(p)3,127.0(p)-244.8(p)-7.3

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
167.9157.5162.9(p)165.8(p)-2.1(p)-1.3

Manufacturing

Go to web page with historical data for series SMU11479003000000001
57.453.854.4(p)54.4(p)-3.0(p)-5.2

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
408.0363.0374.6(p)381.2(p)-26.8(p)-6.6

Information

Go to web page with historical data for series SMU11479005000000001
77.773.673.2(p)73.9(p)-3.8(p)-4.9

Financial activities

Go to web page with historical data for series SMU11479005500000001
162.5159.3158.1(p)157.7(p)-4.8(p)-3.0

Professional and business services

Go to web page with historical data for series SMU11479006000000001
789.8755.3764.6(p)768.7(p)-21.1(p)-2.7

Education and health services

Go to web page with historical data for series SMU11479006500000001
442.7399.5408.0(p)405.7(p)-37.0(p)-8.4

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
352.1185.5223.4(p)246.3(p)-105.8(p)-30.0

Other services

Go to web page with historical data for series SMU11479008000000001
213.8196.0203.5(p)204.0(p)-9.8(p)-4.6

Government

Go to web page with historical data for series SMU11479009000000001
699.9694.6696.5(p)669.3(p)-30.6(p)-4.4

Footnotes
(p) Preliminary

 

Last Modified Date: Tuesday, September 08, 2020