Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

News Release Information

21-1586-PHI
Monday, August 30, 2021

Contacts Technical information: Media contact:

Washington Area Employment – July 2021

Total nonfarm employment for the Washington-Arlington-Alexandria, DC-VA-MD-WV, metropolitan area increased by 135,500 over the year in July, the U.S. Bureau of Labor Statistics reported today. (See chart 1 and table 1.) Regional Commissioner Alexandra Hall Bovee noted that the local rate of job growth, at 4.4 percent, compared to the 5.3-percent national increase. (All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

  Chart 1. Over-the-year net change for total nonfarm employment in the Washington metropolitan area, July 2018-July 2021

Washington-Arlington-Alexandria, DC-VA-MD-WV, is made up of two metropolitan divisions—separately identifiable employment centers within the greater metropolitan area. Employment increased over the year in both divisions. The Washington-Arlington-Alexandria, DC-VA-MD-WV, division, with 82 percent of the area’s total nonfarm employment, gained 110,100 jobs over the year. The Silver Spring-Frederick-Rockville, MD, division, which accounted for the remaining 18 percent of the area’s employment, added 25,400 jobs since July 2020.

Industry employment

In Washington-Arlington-Alexandria, DC-VA-MD-WV, leisure and hospitality had the largest job growth (+51,400), with both divisions recording increases. (See chart 2.) The metropolitan area had a 22.9-percent gain compared to the 18.5-percent gain for the nation.

  Chart 2. Over-the-year net change for private-industry supersector employment in the Washington metropolitan area, July 2021 (in thousands)

Education and health services added 24,500 jobs in the metropolitan area, with the Washington-Arlington-Alexandria, DC-VA-MD-WV, division accounting for a gain of 23,200 jobs. The local 6.1-percent increase compared to a 3.2-percent rise at the national level.

Professional and business services added 22,700 jobs in the metropolitan area. The local rate of growth was 3.0 percent, compared to the national gain of 6.2 percent.

Trade, transportation, and utilities added 18,400 jobs over the year in the metropolitan area. Both divisions added jobs over the year. Within the supersector, employment in the retail trade sector was up 11,700. The local area’s 4.9-percent gain compared to the 4.4-percent increase for the nation.

Twelve largest metropolitan areas

Washington-Arlington-Alexandria, DC-VA-MD-WV, was 1 of the nation’s 12 largest metropolitan statistical areas in July 2021. All 12 areas added jobs over the year. New York-Newark-Jersey City, NY-NJ-PA, had the largest increase (+558,300). San Francisco-Oakland-Hayward, CA, had the smallest gain (+105,700) among the largest areas. (See table 2 and chart 3.)

Boston-Cambridge-Nashua, MA-NH, had a 7.8-percent rate of job gain, followed by Phoenix-Mesa-Scottsdale, AZ (+7.6 percent). The rates of job gains in the remaining 10 areas ranged from 6.6 percent in Los Angeles-Long Beach-Anaheim, CA, to 4.2 percent in Chicago-Naperville-Elgin, IL-IN-WI.

  Chart 3. Over-the-year net change in total nonfarm employment for the 12 largest metropolitan areas, July 2021 (in thousands)

The Metropolitan Area Employment and Unemployment release for August 2021 is scheduled to be released on Wednesday, September 29, 2021, at 10:00 a.m. (ET).

Coronavirus (COVID-19) Pandemic Impact on July 2021 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

Special technical note: This technical note describes the procedures regularly used on a monthly basis to develop estimates from the Current Employment Statistics (CES) program. Due to the COVID-19 pandemic, some of the procedures described in this technical note have been modified. The modifications are briefly described in the box note of this news release. More information on the changes to the CES business birth-death model is available at www.bls.gov/web/empsit/cesbd.htm.

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 at www.bls.gov/opub/hom/pdf/ces-20110307.pdf.

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 also are subject to nonsampling errors, such as those which can be introduced into the data collection and processing operations. Estimates not directly derived from sample surveys are subject to additional errors resulting from the specific estimation processes used. The sums of individual items may not always equal the totals shown in the same tables because of rounding.

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

Area definitions. The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. The 12 metropolitan areas discussed in this release are the metropolitan areas with the largest population according to the U.S. Census Bureau.

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

Employment data from the CES program are available on the BLS website at www.bls.gov/sae/.

Information in this release will be made available to individuals with sensory impairments 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)
Area Back
data
Jul
2020
May
2021
Jun
2021
Jul
2021
Jul 2020 to
Jul 2021
Net
change
Percent
change

Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,077.8 3,190.0 3,212.7 (p)3,213.3 (p)135.5 (p)4.4

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
161.9 161.3 163.5 (p)163.7 (p)1.8 (p)1.1

Manufacturing

Go to web page with historical data for series SMU11479003000000001
53.9 55.5 55.8 (p)56.1 (p)2.2 (p)4.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
375.9 389.6 394.0 (p)394.3 (p)18.4 (p)4.9

Information

Go to web page with historical data for series SMU11479005000000001
73.6 72.4 73.2 (p)73.5 (p)-0.1 (p)-0.1

Financial activities

Go to web page with historical data for series SMU11479005500000001
155.2 152.2 152.9 (p)153.6 (p)-1.6 (p)-1.0

Professional and business services

Go to web page with historical data for series SMU11479006000000001
766.9 776.9 783.3 (p)789.6 (p)22.7 (p)3.0

Education and health services

Go to web page with historical data for series SMU11479006500000001
402.4 433.6 426.4 (p)426.9 (p)24.5 (p)6.1

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
224.4 249.0 262.5 (p)275.8 (p)51.4 (p)22.9

Other services

Go to web page with historical data for series SMU11479008000000001
191.1 190.2 192.5 (p)193.5 (p)2.4 (p)1.3

Government

Go to web page with historical data for series SMU11479009000000001
672.5 709.3 708.6 (p)686.3 (p)13.8 (p)2.1

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

Total nonfarm

Go to web page with historical data for series SMU11478940000000001
2,527.4 2,619.7 2,639.5 (p)2,637.5 (p)110.1 (p)4.4

Mining, logging, and construction

Go to web page with historical data for series SMU11478941500000001
128.2 128.3 129.7 (p)129.6 (p)1.4 (p)1.1

Manufacturing

Go to web page with historical data for series SMU11478943000000001
35.9 37.5 37.8 (p)37.8 (p)1.9 (p)5.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU11478944000000001
305.1 312.8 316.7 (p)317.2 (p)12.1 (p)4.0

Information

Go to web page with historical data for series SMU11478945000000001
62.7 61.8 62.6 (p)63.1 (p)0.4 (p)0.6

Financial activities

Go to web page with historical data for series SMU11478945500000001
119.5 116.5 116.9 (p)117.1 (p)-2.4 (p)-2.0

Professional and business services

Go to web page with historical data for series SMU11478946000000001
639.4 644.0 650.6 (p)655.1 (p)15.7 (p)2.5

Education and health services

Go to web page with historical data for series SMU11478946500000001
317.2 345.5 338.4 (p)340.4 (p)23.2 (p)7.3

Leisure and hospitality

Go to web page with historical data for series SMU11478947000000001
183.8 207.2 218.1 (p)228.3 (p)44.5 (p)24.2

Other services

Go to web page with historical data for series SMU11478948000000001
169.8 167.7 169.8 (p)170.9 (p)1.1 (p)0.6

Government

Go to web page with historical data for series SMU11478949000000001
565.8 598.4 598.9 (p)578.0 (p)12.2 (p)2.2

Silver Spring-Frederick-Rockville, MD Metropolitan Division

Total nonfarm

Go to web page with historical data for series SMU24435240000000001
550.4 570.3 573.2 (p)575.8 (p)25.4 (p)4.6

Mining, logging, and construction

Go to web page with historical data for series SMU24435241500000001
33.7 33.0 33.8 (p)34.1 (p)0.4 (p)1.2

Manufacturing

Go to web page with historical data for series SMU24435243000000001
18.0 18.0 18.0 (p)18.3 (p)0.3 (p)1.7

Trade, transportation, and utilities

Go to web page with historical data for series SMU24435244000000001
70.8 76.8 77.3 (p)77.1 (p)6.3 (p)8.9

Information

Go to web page with historical data for series SMU24435245000000001
10.9 10.6 10.6 (p)10.4 (p)-0.5 (p)-4.6

Financial activities

Go to web page with historical data for series SMU24435245500000001
35.7 35.7 36.0 (p)36.5 (p)0.8 (p)2.2

Professional and business services

Go to web page with historical data for series SMU24435246000000001
127.5 132.9 132.7 (p)134.5 (p)7.0 (p)5.5

Education and health services

Go to web page with historical data for series SMU24435246500000001
85.2 88.1 88.0 (p)86.5 (p)1.3 (p)1.5

Leisure and hospitality

Go to web page with historical data for series SMU24435247000000001
40.6 41.8 44.4 (p)47.5 (p)6.9 (p)17.0

Other services

Go to web page with historical data for series SMU24435248000000001
21.3 22.5 22.7 (p)22.6 (p)1.3 (p)6.1

Government

Go to web page with historical data for series SMU24435249000000001
106.7 110.9 109.7 (p)108.3 (p)1.6 (p)1.5

Footnotes
(p) Preliminary

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

Table 2. Employees on nonfarm payrolls by industry supersector, United States and 12 large metropolitan areas, not seasonally adjusted (numbers in thousands)
Area Back
data
Jul
2020
May
2021
Jun
2021
Jul
2021
Jul 2020 to
Jul 2021
Net
change
Percent
change

United States

Total nonfarm

Go to web page with historical data for series CEU0000000001
139,107 145,355 (p)146,603 (p)146,470 (p)7,363 (p)5.3

Mining and logging

Go to web page with historical data for series CEU1000000001
599 619 (p)633 (p)642 (p)43 (p)7.2

Construction

Go to web page with historical data for series CEU2000000001
7,424 7,476 (p)7,592 (p)7,641 (p)217 (p)2.9

Manufacturing

Go to web page with historical data for series CEU3000000001
12,107 12,275 (p)12,409 (p)12,441 (p)334 (p)2.8

Trade, transportation, and utilities

Go to web page with historical data for series CEU4000000001
26,154 27,029 (p)27,305 (p)27,315 (p)1,161 (p)4.4

Information

Go to web page with historical data for series CEU5000000001
2,606 2,706 (p)2,722 (p)2,760 (p)154 (p)5.9

Financial activities

Go to web page with historical data for series CEU5500000001
8,709 8,784 (p)8,843 (p)8,887 (p)178 (p)2.0

Professional and business services

Go to web page with historical data for series CEU6000000001
19,856 20,759 (p)20,943 (p)21,084 (p)1,228 (p)6.2

Education and health services

Go to web page with historical data for series CEU6500000001
22,590 23,525 (p)23,343 (p)23,308 (p)718 (p)3.2

Leisure and hospitality

Go to web page with historical data for series CEU7000000001
13,364 14,625 (p)15,395 (p)15,834 (p)2,470 (p)18.5

Other services

Go to web page with historical data for series CEU8000000001
5,388 5,608 (p)5,730 (p)5,782 (p)394 (p)7.3

Government

Go to web page with historical data for series CEU9000000001
20,310 21,949 (p)21,688 (p)20,776 (p)466 (p)2.3

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

Go to web page with historical data for series SMU13120600000000001
2,628.9 2,744.8 2,776.2 (p)2,794.7 (p)165.8 (p)6.3

Mining and logging

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

Construction

Go to web page with historical data for series SMU13120602000000001
127.0 128.6 130.4 (p)130.4 (p)3.4 (p)2.7

Manufacturing

Go to web page with historical data for series SMU13120603000000001
161.8 166.6 166.3 (p)166.8 (p)5.0 (p)3.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU13120604000000001
570.5 584.2 591.1 (p)593.3 (p)22.8 (p)4.0

Information

Go to web page with historical data for series SMU13120605000000001
89.8 100.7 101.7 (p)105.5 (p)15.7 (p)17.5

Financial activities

Go to web page with historical data for series SMU13120605500000001
177.2 178.4 179.7 (p)182.4 (p)5.2 (p)2.9

Professional and business services

Go to web page with historical data for series SMU13120606000000001
513.6 540.1 552.4 (p)557.5 (p)43.9 (p)8.5

Education and health services

Go to web page with historical data for series SMU13120606500000001
344.0 367.3 365.5 (p)366.0 (p)22.0 (p)6.4

Leisure and hospitality

Go to web page with historical data for series SMU13120607000000001
232.6 252.8 261.8 (p)270.0 (p)37.4 (p)16.1

Other services

Go to web page with historical data for series SMU13120608000000001
93.3 96.2 97.9 (p)98.5 (p)5.2 (p)5.6

Government

Go to web page with historical data for series SMU13120609000000001
317.5 328.3 327.8 (p)322.7 (p)5.2 (p)1.6

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

Total nonfarm

Go to web page with historical data for series SMU25716500000000001
2,493.7 2,631.3 2,671.9 (p)2,687.8 (p)194.1 (p)7.8

Mining, logging, and construction

Go to web page with historical data for series SMU25716501500000001
117.4 123.2 125.6 (p)129.0 (p)11.6 (p)9.9

Manufacturing

Go to web page with historical data for series SMU25716503000000001
176.4 178.1 181.9 (p)183.4 (p)7.0 (p)4.0

Trade, transportation, and utilities

Go to web page with historical data for series SMU25716504000000001
376.8 399.8 405.1 (p)401.7 (p)24.9 (p)6.6

Information

Go to web page with historical data for series SMU25716505000000001
78.1 79.4 80.4 (p)83.0 (p)4.9 (p)6.3

Financial activities

Go to web page with historical data for series SMU25716505500000001
182.3 182.8 183.8 (p)183.9 (p)1.6 (p)0.9

Professional and business services

Go to web page with historical data for series SMU25716506000000001
497.6 518.0 526.0 (p)531.7 (p)34.1 (p)6.9

Education and health services

Go to web page with historical data for series SMU25716506500000001
530.5 553.4 553.3 (p)557.4 (p)26.9 (p)5.1

Leisure and hospitality

Go to web page with historical data for series SMU25716507000000001
180.8 208.1 230.7 (p)244.4 (p)63.6 (p)35.2

Other services

Go to web page with historical data for series SMU25716508000000001
82.8 86.0 88.8 (p)93.0 (p)10.2 (p)12.3

Government

Go to web page with historical data for series SMU25716509000000001
271.0 302.5 296.3 (p)280.3 (p)9.3 (p)3.4

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

Go to web page with historical data for series SMU17169800000000001
4,325.6 4,439.8 4,495.9 (p)4,506.7 (p)181.1 (p)4.2

Mining and logging

Go to web page with historical data for series SMU17169801000000001
1.6 1.7 1.8 (p)1.8 (p)0.2 (p)12.5

Construction

Go to web page with historical data for series SMU17169802000000001
175.2 173.4 178.5 (p)182.8 (p)7.6 (p)4.3

Manufacturing

Go to web page with historical data for series SMU17169803000000001
395.4 390.8 395.0 (p)396.5 (p)1.1 (p)0.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU17169804000000001
905.1 917.9 928.1 (p)929.8 (p)24.7 (p)2.7

Information

Go to web page with historical data for series SMU17169805000000001
71.3 70.3 70.8 (p)70.2 (p)-1.1 (p)-1.5

Financial activities

Go to web page with historical data for series SMU17169805500000001
315.0 314.9 317.4 (p)316.1 (p)1.1 (p)0.3

Professional and business services

Go to web page with historical data for series SMU17169806000000001
768.7 789.7 799.5 (p)806.4 (p)37.7 (p)4.9

Education and health services

Go to web page with historical data for series SMU17169806500000001
675.6 703.8 696.8 (p)698.5 (p)22.9 (p)3.4

Leisure and hospitality

Go to web page with historical data for series SMU17169807000000001
350.9 372.2 399.6 (p)412.1 (p)61.2 (p)17.4

Other services

Go to web page with historical data for series SMU17169808000000001
177.0 179.6 182.4 (p)182.8 (p)5.8 (p)3.3

Government

Go to web page with historical data for series SMU17169809000000001
489.8 525.5 526.0 (p)509.7 (p)19.9 (p)4.1

Dallas-Fort Worth-Arlington, TX

Total nonfarm

Go to web page with historical data for series SMU48191000000000001
3,582.6 3,758.6 3,790.4 (p)3,793.7 (p)211.1 (p)5.9

Mining, logging, and construction

Go to web page with historical data for series SMU48191001500000001
216.7 215.1 216.7 (p)217.7 (p)1.0 (p)0.5

Manufacturing

Go to web page with historical data for series SMU48191003000000001
278.6 281.3 282.7 (p)284.9 (p)6.3 (p)2.3

Trade, transportation, and utilities

Go to web page with historical data for series SMU48191004000000001
786.3 813.7 825.3 (p)823.2 (p)36.9 (p)4.7

Information

Go to web page with historical data for series SMU48191005000000001
77.1 79.4 79.9 (p)80.3 (p)3.2 (p)4.2

Financial activities

Go to web page with historical data for series SMU48191005500000001
322.3 328.4 330.3 (p)333.2 (p)10.9 (p)3.4

Professional and business services

Go to web page with historical data for series SMU48191006000000001
616.9 652.1 663.8 (p)669.0 (p)52.1 (p)8.4

Education and health services

Go to web page with historical data for series SMU48191006500000001
438.7 451.8 448.3 (p)450.5 (p)11.8 (p)2.7

Leisure and hospitality

Go to web page with historical data for series SMU48191007000000001
314.6 361.4 377.8 (p)381.5 (p)66.9 (p)21.3

Other services

Go to web page with historical data for series SMU48191008000000001
110.0 118.9 121.4 (p)121.7 (p)11.7 (p)10.6

Government

Go to web page with historical data for series SMU48191009000000001
421.4 456.5 444.2 (p)431.7 (p)10.3 (p)2.4

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

Go to web page with historical data for series SMU48264200000000001
2,903.8 3,037.8 3,047.3 (p)3,040.2 (p)136.4 (p)4.7

Mining and logging

Go to web page with historical data for series SMU48264201000000001
63.4 69.9 68.9 (p)68.4 (p)5.0 (p)7.9

Construction

Go to web page with historical data for series SMU48264202000000001
209.2 206.1 204.2 (p)202.2 (p)-7.0 (p)-3.3

Manufacturing

Go to web page with historical data for series SMU48264203000000001
212.6 207.0 207.2 (p)210.9 (p)-1.7 (p)-0.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU48264204000000001
600.6 626.4 631.8 (p)629.1 (p)28.5 (p)4.7

Information

Go to web page with historical data for series SMU48264205000000001
27.9 28.6 28.8 (p)29.0 (p)1.1 (p)3.9

Financial activities

Go to web page with historical data for series SMU48264205500000001
163.5 164.0 163.2 (p)163.5 (p)0.0 (p)0.0

Professional and business services

Go to web page with historical data for series SMU48264206000000001
481.3 493.1 493.7 (p)501.2 (p)19.9 (p)4.1

Education and health services

Go to web page with historical data for series SMU48264206500000001
388.8 401.5 400.5 (p)401.3 (p)12.5 (p)3.2

Leisure and hospitality

Go to web page with historical data for series SMU48264207000000001
265.7 312.8 326.6 (p)329.2 (p)63.5 (p)23.9

Other services

Go to web page with historical data for series SMU48264208000000001
100.6 111.2 111.3 (p)112.9 (p)12.3 (p)12.2

Government

Go to web page with historical data for series SMU48264209000000001
390.2 417.2 411.1 (p)392.5 (p)2.3 (p)0.6

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

Go to web page with historical data for series SMU06310800000000001
5,417.1 5,752.0 5,792.2 (p)5,776.4 (p)359.3 (p)6.6

Mining and logging

Go to web page with historical data for series SMU06310801000000001
1.9 1.9 1.9 (p)1.9 (p)0.0 (p)0.0

Construction

Go to web page with historical data for series SMU06310802000000001
246.2 249.6 250.6 (p)247.1 (p)0.9 (p)0.4

Manufacturing

Go to web page with historical data for series SMU06310803000000001
455.3 454.6 457.4 (p)455.6 (p)0.3 (p)0.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU06310804000000001
1,002.8 1,045.0 1,054.6 (p)1,061.7 (p)58.9 (p)5.9

Information

Go to web page with historical data for series SMU06310805000000001
184.1 204.5 201.2 (p)204.1 (p)20.0 (p)10.9

Financial activities

Go to web page with historical data for series SMU06310805500000001
321.9 323.7 323.6 (p)326.9 (p)5.0 (p)1.6

Professional and business services

Go to web page with historical data for series SMU06310806000000001
873.4 915.7 916.1 (p)924.6 (p)51.2 (p)5.9

Education and health services

Go to web page with historical data for series SMU06310806500000001
1,015.9 1,067.3 1,065.0 (p)1,056.6 (p)40.7 (p)4.0

Leisure and hospitality

Go to web page with historical data for series SMU06310807000000001
486.2 604.9 632.6 (p)656.1 (p)169.9 (p)34.9

Other services

Go to web page with historical data for series SMU06310808000000001
163.5 169.1 174.7 (p)179.1 (p)15.6 (p)9.5

Government

Go to web page with historical data for series SMU06310809000000001
665.9 715.7 714.5 (p)662.7 (p)-3.2 (p)-0.5

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

Go to web page with historical data for series SMU12331000000000001
2,455.6 2,584.2 2,571.8 (p)2,578.4 (p)122.8 (p)5.0

Mining and logging

Go to web page with historical data for series SMU12331001000000001
0.8 0.8 0.8 (p)0.8 (p)0.0 (p)0.0

Construction

Go to web page with historical data for series SMU12331002000000001
139.5 139.0 138.9 (p)138.8 (p)-0.7 (p)-0.5

Manufacturing

Go to web page with historical data for series SMU12331003000000001
86.0 87.1 87.9 (p)87.3 (p)1.3 (p)1.5

Trade, transportation, and utilities

Go to web page with historical data for series SMU12331004000000001
564.1 576.8 581.5 (p)583.3 (p)19.2 (p)3.4

Information

Go to web page with historical data for series SMU12331005000000001
45.3 46.6 46.6 (p)46.7 (p)1.4 (p)3.1

Financial activities

Go to web page with historical data for series SMU12331005500000001
186.2 189.9 190.7 (p)192.3 (p)6.1 (p)3.3

Professional and business services

Go to web page with historical data for series SMU12331006000000001
427.9 448.4 449.8 (p)452.5 (p)24.6 (p)5.7

Education and health services

Go to web page with historical data for series SMU12331006500000001
383.8 400.1 397.2 (p)397.7 (p)13.9 (p)3.6

Leisure and hospitality

Go to web page with historical data for series SMU12331007000000001
230.7 281.7 283.5 (p)284.6 (p)53.9 (p)23.4

Other services

Go to web page with historical data for series SMU12331008000000001
103.2 110.6 112.3 (p)112.3 (p)9.1 (p)8.8

Government

Go to web page with historical data for series SMU12331009000000001
288.1 303.2 282.6 (p)282.1 (p)-6.0 (p)-2.1

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

Total nonfarm

Go to web page with historical data for series SMU36356200000000001
8,566.1 9,078.3 9,189.8 (p)9,124.4 (p)558.3 (p)6.5

Mining, logging, and construction

Go to web page with historical data for series SMU36356201500000001
381.9 369.9 373.5 (p)374.7 (p)-7.2 (p)-1.9

Manufacturing

Go to web page with historical data for series SMU36356203000000001
321.7 332.3 335.5 (p)334.5 (p)12.8 (p)4.0

Trade, transportation, and utilities

Go to web page with historical data for series SMU36356204000000001
1,481.5 1,557.7 1,580.5 (p)1,563.0 (p)81.5 (p)5.5

Information

Go to web page with historical data for series SMU36356205000000001
276.3 293.7 297.4 (p)296.9 (p)20.6 (p)7.5

Financial activities

Go to web page with historical data for series SMU36356205500000001
760.0 752.8 759.5 (p)752.1 (p)-7.9 (p)-1.0

Professional and business services

Go to web page with historical data for series SMU36356206000000001
1,437.7 1,495.8 1,517.0 (p)1,519.4 (p)81.7 (p)5.7

Education and health services

Go to web page with historical data for series SMU36356206500000001
1,816.6 1,979.9 1,958.7 (p)1,942.3 (p)125.7 (p)6.9

Leisure and hospitality

Go to web page with historical data for series SMU36356207000000001
546.6 653.2 712.2 (p)747.4 (p)200.8 (p)36.7

Other services

Go to web page with historical data for series SMU36356208000000001
329.6 351.8 356.8 (p)359.8 (p)30.2 (p)9.2

Government

Go to web page with historical data for series SMU36356209000000001
1,214.2 1,291.2 1,298.7 (p)1,234.3 (p)20.1 (p)1.7

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

Total nonfarm

Go to web page with historical data for series SMU42379800000000001
2,685.1 2,821.2 2,843.2 (p)2,824.0 (p)138.9 (p)5.2

Mining, logging, and construction

Go to web page with historical data for series SMU42379801500000001
116.0 118.4 119.7 (p)121.2 (p)5.2 (p)4.5

Manufacturing

Go to web page with historical data for series SMU42379803000000001
173.0 173.4 175.2 (p)176.6 (p)3.6 (p)2.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU42379804000000001
493.0 511.8 517.2 (p)515.2 (p)22.2 (p)4.5

Information

Go to web page with historical data for series SMU42379805000000001
49.7 51.1 52.2 (p)52.8 (p)3.1 (p)6.2

Financial activities

Go to web page with historical data for series SMU42379805500000001
215.5 216.5 217.8 (p)218.8 (p)3.3 (p)1.5

Professional and business services

Go to web page with historical data for series SMU42379806000000001
440.2 460.4 463.8 (p)463.1 (p)22.9 (p)5.2

Education and health services

Go to web page with historical data for series SMU42379806500000001
608.2 639.0 636.1 (p)630.1 (p)21.9 (p)3.6

Leisure and hospitality

Go to web page with historical data for series SMU42379807000000001
186.6 217.1 230.4 (p)236.5 (p)49.9 (p)26.7

Other services

Go to web page with historical data for series SMU42379808000000001
99.4 105.2 107.5 (p)107.7 (p)8.3 (p)8.4

Government

Go to web page with historical data for series SMU42379809000000001
303.5 328.3 323.3 (p)302.0 (p)-1.5 (p)-0.5

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

Go to web page with historical data for series SMU04380600000000001
2,029.8 2,174.1 2,174.9 (p)2,184.1 (p)154.3 (p)7.6

Mining and logging

Go to web page with historical data for series SMU04380601000000001
2.8 2.8 2.8 (p)2.8 (p)0.0 (p)0.0

Construction

Go to web page with historical data for series SMU04380602000000001
133.7 134.2 136.0 (p)136.8 (p)3.1 (p)2.3

Manufacturing

Go to web page with historical data for series SMU04380603000000001
131.1 135.8 136.5 (p)136.5 (p)5.4 (p)4.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU04380604000000001
404.8 431.1 438.9 (p)439.4 (p)34.6 (p)8.5

Information

Go to web page with historical data for series SMU04380605000000001
36.1 36.5 36.9 (p)37.3 (p)1.2 (p)3.3

Financial activities

Go to web page with historical data for series SMU04380605500000001
203.6 204.5 205.3 (p)207.6 (p)4.0 (p)2.0

Professional and business services

Go to web page with historical data for series SMU04380606000000001
344.7 365.3 367.8 (p)376.1 (p)31.4 (p)9.1

Education and health services

Go to web page with historical data for series SMU04380606500000001
326.0 348.3 348.6 (p)347.5 (p)21.5 (p)6.6

Leisure and hospitality

Go to web page with historical data for series SMU04380607000000001
171.8 210.6 213.1 (p)213.5 (p)41.7 (p)24.3

Other services

Go to web page with historical data for series SMU04380608000000001
65.1 67.2 68.5 (p)70.0 (p)4.9 (p)7.5

Government

Go to web page with historical data for series SMU04380609000000001
210.1 237.8 220.5 (p)216.6 (p)6.5 (p)3.1

San Francisco-Oakland-Hayward, CA

Total nonfarm

Go to web page with historical data for series SMU06418600000000001
2,190.3 2,279.9 2,297.7 (p)2,296.0 (p)105.7 (p)4.8

Mining and logging

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

Construction

Go to web page with historical data for series SMU06418602000000001
121.5 126.3 124.9 (p)124.0 (p)2.5 (p)2.1

Manufacturing

Go to web page with historical data for series SMU06418603000000001
138.6 140.8 141.7 (p)142.5 (p)3.9 (p)2.8

Trade, transportation, and utilities

Go to web page with historical data for series SMU06418604000000001
330.1 332.2 333.2 (p)335.2 (p)5.1 (p)1.5

Information

Go to web page with historical data for series SMU06418605000000001
134.5 134.3 137.3 (p)139.3 (p)4.8 (p)3.6

Financial activities

Go to web page with historical data for series SMU06418605500000001
138.8 139.2 139.9 (p)140.8 (p)2.0 (p)1.4

Professional and business services

Go to web page with historical data for series SMU06418606000000001
473.8 490.3 494.4 (p)499.4 (p)25.6 (p)5.4

Education and health services

Go to web page with historical data for series SMU06418606500000001
340.5 358.6 356.5 (p)354.5 (p)14.0 (p)4.1

Leisure and hospitality

Go to web page with historical data for series SMU06418607000000001
157.5 185.1 196.9 (p)204.6 (p)47.1 (p)29.9

Other services

Go to web page with historical data for series SMU06418608000000001
63.9 69.5 71.9 (p)74.9 (p)11.0 (p)17.2

Government

Go to web page with historical data for series SMU06418609000000001
290.8 303.3 300.7 (p)280.5 (p)-10.3 (p)-3.5

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

Total nonfarm

Go to web page with historical data for series SMU11479000000000001
3,077.8 3,190.0 3,212.7 (p)3,213.3 (p)135.5 (p)4.4

Mining, logging, and construction

Go to web page with historical data for series SMU11479001500000001
161.9 161.3 163.5 (p)163.7 (p)1.8 (p)1.1

Manufacturing

Go to web page with historical data for series SMU11479003000000001
53.9 55.5 55.8 (p)56.1 (p)2.2 (p)4.1

Trade, transportation, and utilities

Go to web page with historical data for series SMU11479004000000001
375.9 389.6 394.0 (p)394.3 (p)18.4 (p)4.9

Information

Go to web page with historical data for series SMU11479005000000001
73.6 72.4 73.2 (p)73.5 (p)-0.1 (p)-0.1

Financial activities

Go to web page with historical data for series SMU11479005500000001
155.2 152.2 152.9 (p)153.6 (p)-1.6 (p)-1.0

Professional and business services

Go to web page with historical data for series SMU11479006000000001
766.9 776.9 783.3 (p)789.6 (p)22.7 (p)3.0

Education and health services

Go to web page with historical data for series SMU11479006500000001
402.4 433.6 426.4 (p)426.9 (p)24.5 (p)6.1

Leisure and hospitality

Go to web page with historical data for series SMU11479007000000001
224.4 249.0 262.5 (p)275.8 (p)51.4 (p)22.9

Other services

Go to web page with historical data for series SMU11479008000000001
191.1 190.2 192.5 (p)193.5 (p)2.4 (p)1.3

Government

Go to web page with historical data for series SMU11479009000000001
672.5 709.3 708.6 (p)686.3 (p)13.8 (p)2.1

Footnotes
(p) Preliminary

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

 

Last Modified Date: Monday, August 30, 2021