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21-989-PHI
Tuesday, June 01, 2021
Total nonfarm employment for the Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area increased by 207,500 over the year in April, 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 7.0 percent, compared to the 10.9-percent national increase. (The Technical Note at the end of this 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 Metropolitan Statistical Area 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 Metropolitan Division, with 82 percent of the area’s total nonfarm employment, gained 161,800 jobs over the year. The Silver Spring-Frederick-Rockville Metropolitan Division, which accounted for the remaining 18 percent of the area’s employment, added 45,700 jobs since April 2020.
Industry employmentIn the greater Washington area, leisure and hospitality had the largest job growth (+83,300), with both divisions recording increases. (See chart 2.) The 52.5-percent rise in Washington’s leisure and hospitality supersector compared to the 61.9-percent growth on a national level.
Trade, transportation, and utilities added 45,200 jobs over the year in the local area. Both divisions added jobs over the year. Within the supersector, employment in the retail trade sector was up 39,400. The industry’s local area employment had a 13.2-percent gain compared to the 10.4-percent job rate increase for the nation.
Education and health services added 31,800 jobs locally, with the Washington division accounting for a gain of 27,000 jobs.
Employment in other services was up 11,800 over the year. The Washington division added 8,100 jobs in this supersector.
Twelve largest metropolitan areasWashington was 1 of the nation’s 12 largest metropolitan statistical areas in April 2021. All 12 areas added jobs over the year. New York-Newark-Jersey City had the largest increase (+966,700). San Francisco-Oakland-Hayward has the smallest gain (+161,100) among the largest areas. (See chart 3 and table 2.)
Philadelphia-Camden-Wilmington had a 12.4-percent rate of job growth, followed by New York (+12.0 percent) and Boston-Cambridge-Nashua (+11.9 percent). The rates of job losses in the remaining nine areas ranged from 11.0 percent in Miami-Fort Lauderdale-West Palm Beach to 6.6 percent in Houston-The Woodlands-Sugar Land.
The Metropolitan Area Employment and Unemployment release for May 2021 is scheduled to be released on Wednesday, June 30, 2021, at 10:00 a.m. (ET).
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 March final and April 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.
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 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.
Area | Back data |
Apr 2020 |
Feb 2021 |
Mar 2021 |
Apr 2021 |
Apr 2020 to Apr 2021 |
|
---|---|---|---|---|---|---|---|
Net change |
Percent change |
||||||
Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Statistical Area |
|||||||
Total nonfarm |
2,965.1 | 3,125.0 | 3,144.3 | (p)3,172.6 | (p)207.5 | (p)7.0 | |
Mining, logging, and construction |
153.2 | 156.4 | 158.7 | (p)158.9 | (p)5.7 | (p)3.7 | |
Manufacturing |
51.2 | 55.0 | 55.1 | (p)55.4 | (p)4.2 | (p)8.2 | |
Trade, transportation, and utilities |
342.6 | 386.0 | 386.8 | (p)387.8 | (p)45.2 | (p)13.2 | |
Information |
73.6 | 72.7 | 72.6 | (p)73.8 | (p)0.2 | (p)0.3 | |
Financial activities |
154.0 | 152.4 | 151.6 | (p)152.6 | (p)-1.4 | (p)-0.9 | |
Professional and business services |
754.0 | 764.1 | 765.8 | (p)772.5 | (p)18.5 | (p)2.5 | |
Education and health services |
400.1 | 427.2 | 429.8 | (p)431.9 | (p)31.8 | (p)7.9 | |
Leisure and hospitality |
158.8 | 221.8 | 228.7 | (p)242.1 | (p)83.3 | (p)52.5 | |
Other services |
177.1 | 187.8 | 188.2 | (p)188.9 | (p)11.8 | (p)6.7 | |
Government |
700.5 | 701.6 | 707.0 | (p)708.7 | (p)8.2 | (p)1.2 | |
Washington-Arlington-Alexandria, DC-VA-MD-WV Metropolitan Division |
|||||||
Total nonfarm |
2,444.9 | 2,569.9 | 2,584.0 | (p)2,606.7 | (p)161.8 | (p)6.6 | |
Mining, logging, and construction |
121.5 | 125.1 | 126.6 | (p)126.3 | (p)4.8 | (p)4.0 | |
Manufacturing |
33.8 | 37.1 | 37.1 | (p)37.3 | (p)3.5 | (p)10.4 | |
Trade, transportation, and utilities |
278.9 | 310.5 | 311.4 | (p)311.8 | (p)32.9 | (p)11.8 | |
Information |
62.7 | 61.9 | 61.9 | (p)63.3 | (p)0.6 | (p)1.0 | |
Financial activities |
118.7 | 117.0 | 116.2 | (p)116.9 | (p)-1.8 | (p)-1.5 | |
Professional and business services |
629.5 | 634.0 | 634.1 | (p)639.5 | (p)10.0 | (p)1.6 | |
Education and health services |
317.7 | 340.8 | 342.9 | (p)344.7 | (p)27.0 | (p)8.5 | |
Leisure and hospitality |
130.5 | 185.5 | 191.2 | (p)201.9 | (p)71.4 | (p)54.7 | |
Other services |
158.7 | 166.1 | 166.2 | (p)166.8 | (p)8.1 | (p)5.1 | |
Government |
592.9 | 591.9 | 596.4 | (p)598.2 | (p)5.3 | (p)0.9 | |
Silver Spring-Frederick-Rockville, MD Metropolitan Division |
|||||||
Total nonfarm |
520.2 | 555.1 | 560.3 | (p)565.9 | (p)45.7 | (p)8.8 | |
Mining, logging, and construction |
31.7 | 31.3 | 32.1 | (p)32.6 | (p)0.9 | (p)2.8 | |
Manufacturing |
17.4 | 17.9 | 18.0 | (p)18.1 | (p)0.7 | (p)4.0 | |
Trade, transportation, and utilities |
63.7 | 75.5 | 75.4 | (p)76.0 | (p)12.3 | (p)19.3 | |
Information |
10.9 | 10.8 | 10.7 | (p)10.5 | (p)-0.4 | (p)-3.7 | |
Financial activities |
35.3 | 35.4 | 35.4 | (p)35.7 | (p)0.4 | (p)1.1 | |
Professional and business services |
124.5 | 130.1 | 131.7 | (p)133.0 | (p)8.5 | (p)6.8 | |
Education and health services |
82.4 | 86.4 | 86.9 | (p)87.2 | (p)4.8 | (p)5.8 | |
Leisure and hospitality |
28.3 | 36.3 | 37.5 | (p)40.2 | (p)11.9 | (p)42.0 | |
Other services |
18.4 | 21.7 | 22.0 | (p)22.1 | (p)3.7 | (p)20.1 | |
Government |
107.6 | 109.7 | 110.6 | (p)110.5 | (p)2.9 | (p)2.7 | |
SOURCE: Current Employment Statistics - National - State and Metropolitan Area |
Area | Back data |
Apr 2020 |
Feb 2021 |
Mar 2021 |
Apr 2021 |
Apr 2020 to Apr 2021 |
|
---|---|---|---|---|---|---|---|
Net change |
Percent change |
||||||
United States |
|||||||
Total nonfarm |
130,251 | 142,133 | (p)143,309 | (p)144,398 | (p)14,147 | (p)10.9 | |
Mining and logging |
615 | 589 | (p)609 | (p)611 | (p)-4 | (p)-0.7 | |
Construction |
6,452 | 7,008 | (p)7,204 | (p)7,375 | (p)923 | (p)14.3 | |
Manufacturing |
11,369 | 12,206 | (p)12,271 | (p)12,246 | (p)877 | (p)7.7 | |
Trade, transportation, and utilities |
24,311 | 26,803 | (p)26,899 | (p)26,849 | (p)2,538 | (p)10.4 | |
Information |
2,630 | 2,672 | (p)2,681 | (p)2,689 | (p)59 | (p)2.2 | |
Financial activities |
8,555 | 8,732 | (p)8,751 | (p)8,773 | (p)218 | (p)2.5 | |
Professional and business services |
19,053 | 20,449 | (p)20,546 | (p)20,714 | (p)1,661 | (p)8.7 | |
Education and health services |
21,880 | 23,388 | (p)23,520 | (p)23,571 | (p)1,691 | (p)7.7 | |
Leisure and hospitality |
8,648 | 13,065 | (p)13,428 | (p)14,003 | (p)5,355 | (p)61.9 | |
Other services |
4,519 | 5,457 | (p)5,506 | (p)5,576 | (p)1,057 | (p)23.4 | |
Government |
22,219 | 21,764 | (p)21,894 | (p)21,991 | (p)-228 | (p)-1.0 | |
Atlanta-Sandy Springs-Roswell, GA |
|||||||
Total nonfarm |
2,486.4 | 2,713.3 | 2,730.1 | (p)2,735.9 | (p)249.5 | (p)10.0 | |
Mining and logging |
1.6 | 1.7 | 1.7 | (p)1.7 | (p)0.1 | (p)6.3 | |
Construction |
124.2 | 128.3 | 130.4 | (p)130.7 | (p)6.5 | (p)5.2 | |
Manufacturing |
154.1 | 163.7 | 163.1 | (p)165.2 | (p)11.1 | (p)7.2 | |
Trade, transportation, and utilities |
538.8 | 589.3 | 590.2 | (p)583.9 | (p)45.1 | (p)8.4 | |
Information |
90.9 | 98.9 | 99.7 | (p)101.4 | (p)10.5 | (p)11.6 | |
Financial activities |
176.2 | 178.9 | 180.4 | (p)179.3 | (p)3.1 | (p)1.8 | |
Professional and business services |
497.0 | 531.4 | 534.3 | (p)536.3 | (p)39.3 | (p)7.9 | |
Education and health services |
328.4 | 360.2 | 362.7 | (p)366.1 | (p)37.7 | (p)11.5 | |
Leisure and hospitality |
167.9 | 241.9 | 247.1 | (p)247.7 | (p)79.8 | (p)47.5 | |
Other services |
75.9 | 91.2 | 91.6 | (p)93.6 | (p)17.7 | (p)23.3 | |
Government |
331.4 | 327.8 | 328.9 | (p)330.0 | (p)-1.4 | (p)-0.4 | |
Boston-Cambridge-Nashua, MA-NH (NECTA) |
|||||||
Total nonfarm |
2,333.0 | 2,556.4 | 2,572.3 | (p)2,611.0 | (p)278.0 | (p)11.9 | |
Mining, logging, and construction |
83.2 | 111.8 | 113.2 | (p)117.4 | (p)34.2 | (p)41.1 | |
Manufacturing |
169.3 | 176.4 | 177.9 | (p)178.4 | (p)9.1 | (p)5.4 | |
Trade, transportation, and utilities |
336.5 | 395.3 | 396.2 | (p)397.6 | (p)61.1 | (p)18.2 | |
Information |
80.1 | 78.4 | 78.7 | (p)79.4 | (p)-0.7 | (p)-0.9 | |
Financial activities |
178.4 | 181.3 | 181.6 | (p)182.4 | (p)4.0 | (p)2.2 | |
Professional and business services |
481.8 | 502.2 | 502.8 | (p)513.6 | (p)31.8 | (p)6.6 | |
Education and health services |
525.2 | 554.9 | 558.5 | (p)560.8 | (p)35.6 | (p)6.8 | |
Leisure and hospitality |
111.2 | 173.7 | 178.6 | (p)193.7 | (p)82.5 | (p)74.2 | |
Other services |
62.4 | 83.3 | 83.6 | (p)85.1 | (p)22.7 | (p)36.4 | |
Government |
304.9 | 299.1 | 301.2 | (p)302.6 | (p)-2.3 | (p)-0.8 | |
Chicago-Naperville-Elgin, IL-IN-WI |
|||||||
Total nonfarm |
4,089.4 | 4,312.8 | 4,345.9 | (p)4,402.6 | (p)313.2 | (p)7.7 | |
Mining and logging |
1.8 | 1.4 | 1.5 | (p)1.6 | (p)-0.2 | (p)-11.1 | |
Construction |
151.8 | 145.6 | 155.2 | (p)168.2 | (p)16.4 | (p)10.8 | |
Manufacturing |
382.9 | 393.9 | 392.5 | (p)390.7 | (p)7.8 | (p)2.0 | |
Trade, transportation, and utilities |
830.6 | 907.2 | 907.7 | (p)911.2 | (p)80.6 | (p)9.7 | |
Information |
73.1 | 71.1 | 70.3 | (p)69.8 | (p)-3.3 | (p)-4.5 | |
Financial activities |
310.6 | 314.4 | 313.8 | (p)315.5 | (p)4.9 | (p)1.6 | |
Professional and business services |
745.4 | 771.3 | 772.0 | (p)787.2 | (p)41.8 | (p)5.6 | |
Education and health services |
665.4 | 700.7 | 703.8 | (p)704.3 | (p)38.9 | (p)5.8 | |
Leisure and hospitality |
251.1 | 315.7 | 331.4 | (p)353.8 | (p)102.7 | (p)40.9 | |
Other services |
153.7 | 174.6 | 176.8 | (p)178.6 | (p)24.9 | (p)16.2 | |
Government |
523.0 | 516.9 | 520.9 | (p)521.7 | (p)-1.3 | (p)-0.2 | |
Dallas-Fort Worth-Arlington, TX |
|||||||
Total nonfarm |
3,413.4 | 3,694.6 | 3,728.1 | (p)3,740.2 | (p)326.8 | (p)9.6 | |
Mining, logging, and construction |
216.7 | 214.6 | 218.5 | (p)215.4 | (p)-1.3 | (p)-0.6 | |
Manufacturing |
271.6 | 279.4 | 281.6 | (p)280.7 | (p)9.1 | (p)3.4 | |
Trade, transportation, and utilities |
738.4 | 807.6 | 812.5 | (p)812.0 | (p)73.6 | (p)10.0 | |
Information |
77.2 | 79.2 | 79.2 | (p)78.7 | (p)1.5 | (p)1.9 | |
Financial activities |
318.6 | 327.0 | 328.2 | (p)326.9 | (p)8.3 | (p)2.6 | |
Professional and business services |
597.5 | 636.0 | 642.8 | (p)646.8 | (p)49.3 | (p)8.3 | |
Education and health services |
414.7 | 449.7 | 452.7 | (p)451.5 | (p)36.8 | (p)8.9 | |
Leisure and hospitality |
236.4 | 332.9 | 341.9 | (p)354.0 | (p)117.6 | (p)49.7 | |
Other services |
94.0 | 113.8 | 115.5 | (p)115.8 | (p)21.8 | (p)23.2 | |
Government |
448.3 | 454.4 | 455.2 | (p)458.4 | (p)10.1 | (p)2.3 | |
Houston-The Woodlands-Sugar Land, TX |
|||||||
Total nonfarm |
2,830.8 | 2,965.0 | 3,000.2 | (p)3,018.9 | (p)188.1 | (p)6.6 | |
Mining and logging |
72.3 | 68.1 | 69.5 | (p)69.6 | (p)-2.7 | (p)-3.7 | |
Construction |
213.4 | 199.6 | 208.1 | (p)208.1 | (p)-5.3 | (p)-2.5 | |
Manufacturing |
223.0 | 208.0 | 208.5 | (p)207.4 | (p)-15.6 | (p)-7.0 | |
Trade, transportation, and utilities |
575.7 | 621.5 | 624.3 | (p)622.4 | (p)46.7 | (p)8.1 | |
Information |
28.2 | 28.7 | 28.6 | (p)28.5 | (p)0.3 | (p)1.1 | |
Financial activities |
161.4 | 162.1 | 163.4 | (p)162.6 | (p)1.2 | (p)0.7 | |
Professional and business services |
473.3 | 477.3 | 485.3 | (p)492.2 | (p)18.9 | (p)4.0 | |
Education and health services |
368.7 | 395.1 | 396.7 | (p)397.4 | (p)28.7 | (p)7.8 | |
Leisure and hospitality |
206.6 | 283.2 | 292.4 | (p)304.2 | (p)97.6 | (p)47.2 | |
Other services |
88.9 | 103.2 | 107.2 | (p)109.7 | (p)20.8 | (p)23.4 | |
Government |
419.3 | 418.2 | 416.2 | (p)416.8 | (p)-2.5 | (p)-0.6 | |
Los Angeles-Long Beach-Anaheim, CA |
|||||||
Total nonfarm |
5,259.7 | 5,574.5 | 5,632.9 | (p)5,691.3 | (p)431.6 | (p)8.2 | |
Mining and logging |
2.0 | 1.9 | 1.9 | (p)1.9 | (p)-0.1 | (p)-5.0 | |
Construction |
223.4 | 247.9 | 248.7 | (p)251.2 | (p)27.8 | (p)12.4 | |
Manufacturing |
435.8 | 448.0 | 449.7 | (p)450.7 | (p)14.9 | (p)3.4 | |
Trade, transportation, and utilities |
918.2 | 1,042.0 | 1,045.8 | (p)1,040.3 | (p)122.1 | (p)13.3 | |
Information |
195.2 | 200.8 | 204.8 | (p)204.0 | (p)8.8 | (p)4.5 | |
Financial activities |
319.8 | 322.8 | 323.2 | (p)321.5 | (p)1.7 | (p)0.5 | |
Professional and business services |
850.4 | 895.1 | 903.0 | (p)909.9 | (p)59.5 | (p)7.0 | |
Education and health services |
993.3 | 1,051.2 | 1,054.6 | (p)1,062.8 | (p)69.5 | (p)7.0 | |
Leisure and hospitality |
430.1 | 508.7 | 536.7 | (p)573.6 | (p)143.5 | (p)33.4 | |
Other services |
144.3 | 157.9 | 160.4 | (p)166.4 | (p)22.1 | (p)15.3 | |
Government |
747.2 | 698.2 | 704.1 | (p)709.0 | (p)-38.2 | (p)-5.1 | |
Miami-Fort Lauderdale-West Palm Beach, FL |
|||||||
Total nonfarm |
2,316.4 | 2,560.6 | 2,573.3 | (p)2,572.2 | (p)255.8 | (p)11.0 | |
Mining and logging |
0.8 | 0.8 | 0.8 | (p)0.8 | (p)0.0 | (p)0.0 | |
Construction |
131.6 | 138.1 | 139.9 | (p)137.4 | (p)5.8 | (p)4.4 | |
Manufacturing |
81.9 | 87.8 | 87.8 | (p)87.8 | (p)5.9 | (p)7.2 | |
Trade, transportation, and utilities |
526.3 | 576.6 | 578.9 | (p)574.4 | (p)48.1 | (p)9.1 | |
Information |
45.2 | 46.5 | 46.1 | (p)46.1 | (p)0.9 | (p)2.0 | |
Financial activities |
182.2 | 187.5 | 188.1 | (p)189.2 | (p)7.0 | (p)3.8 | |
Professional and business services |
404.2 | 443.4 | 444.3 | (p)445.4 | (p)41.2 | (p)10.2 | |
Education and health services |
372.2 | 399.2 | 401.2 | (p)401.3 | (p)29.1 | (p)7.8 | |
Leisure and hospitality |
171.2 | 269.6 | 274.1 | (p)277.5 | (p)106.3 | (p)62.1 | |
Other services |
91.7 | 107.1 | 108.4 | (p)109.7 | (p)18.0 | (p)19.6 | |
Government |
309.1 | 304.0 | 303.7 | (p)302.6 | (p)-6.5 | (p)-2.1 | |
New York-Newark-Jersey City, NY-NJ-PA |
|||||||
Total nonfarm |
8,045.5 | 8,828.7 | 8,922.3 | (p)9,012.2 | (p)966.7 | (p)12.0 | |
Mining, logging, and construction |
269.8 | 343.8 | 354.2 | (p)367.5 | (p)97.7 | (p)36.2 | |
Manufacturing |
283.9 | 327.5 | 331.0 | (p)331.5 | (p)47.6 | (p)16.8 | |
Trade, transportation, and utilities |
1,302.4 | 1,532.8 | 1,538.6 | (p)1,540.4 | (p)238.0 | (p)18.3 | |
Information |
285.1 | 287.0 | 290.1 | (p)287.2 | (p)2.1 | (p)0.7 | |
Financial activities |
751.7 | 755.7 | 754.2 | (p)754.8 | (p)3.1 | (p)0.4 | |
Professional and business services |
1,388.7 | 1,451.7 | 1,471.5 | (p)1,493.2 | (p)104.5 | (p)7.5 | |
Education and health services |
1,812.7 | 1,957.1 | 1,978.1 | (p)1,984.1 | (p)171.4 | (p)9.5 | |
Leisure and hospitality |
372.1 | 546.7 | 569.9 | (p)613.9 | (p)241.8 | (p)65.0 | |
Other services |
276.5 | 342.0 | 345.5 | (p)348.2 | (p)71.7 | (p)25.9 | |
Government |
1,302.6 | 1,284.4 | 1,289.2 | (p)1,291.4 | (p)-11.2 | (p)-0.9 | |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD |
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Total nonfarm |
2,494.0 | 2,757.8 | 2,774.6 | (p)2,802.7 | (p)308.7 | (p)12.4 | |
Mining, logging, and construction |
85.9 | 111.0 | 112.1 | (p)114.6 | (p)28.7 | (p)33.4 | |
Manufacturing |
162.4 | 172.6 | 172.1 | (p)173.0 | (p)10.6 | (p)6.5 | |
Trade, transportation, and utilities |
429.8 | 503.2 | 506.7 | (p)508.3 | (p)78.5 | (p)18.3 | |
Information |
49.5 | 49.5 | 49.7 | (p)50.4 | (p)0.9 | (p)1.8 | |
Financial activities |
212.1 | 214.3 | 213.6 | (p)215.4 | (p)3.3 | (p)1.6 | |
Professional and business services |
425.9 | 452.0 | 453.2 | (p)456.4 | (p)30.5 | (p)7.2 | |
Education and health services |
601.2 | 639.0 | 641.4 | (p)646.2 | (p)45.0 | (p)7.5 | |
Leisure and hospitality |
118.1 | 184.6 | 191.7 | (p)203.2 | (p)85.1 | (p)72.1 | |
Other services |
74.8 | 103.0 | 103.6 | (p)104.8 | (p)30.0 | (p)40.1 | |
Government |
334.3 | 328.6 | 330.5 | (p)330.4 | (p)-3.9 | (p)-1.2 | |
Phoenix-Mesa-Scottsdale, AZ |
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Total nonfarm |
1,990.7 | 2,155.0 | 2,165.6 | (p)2,173.1 | (p)182.4 | (p)9.2 | |
Mining and logging |
3.2 | 2.8 | 2.8 | (p)2.8 | (p)-0.4 | (p)-12.5 | |
Construction |
133.6 | 130.4 | 133.1 | (p)133.5 | (p)-0.1 | (p)-0.1 | |
Manufacturing |
130.8 | 134.4 | 135.4 | (p)134.5 | (p)3.7 | (p)2.8 | |
Trade, transportation, and utilities |
379.8 | 428.0 | 429.5 | (p)427.9 | (p)48.1 | (p)12.7 | |
Information |
36.6 | 38.0 | 37.0 | (p)36.7 | (p)0.1 | (p)0.3 | |
Financial activities |
201.8 | 203.6 | 202.9 | (p)204.0 | (p)2.2 | (p)1.1 | |
Professional and business services |
342.6 | 362.2 | 360.3 | (p)362.1 | (p)19.5 | (p)5.7 | |
Education and health services |
317.0 | 346.2 | 348.0 | (p)349.6 | (p)32.6 | (p)10.3 | |
Leisure and hospitality |
141.4 | 199.7 | 205.8 | (p)210.4 | (p)69.0 | (p)48.8 | |
Other services |
54.9 | 67.0 | 67.8 | (p)67.8 | (p)12.9 | (p)23.5 | |
Government |
249.0 | 242.7 | 243.0 | (p)243.8 | (p)-5.2 | (p)-2.1 | |
San Francisco-Oakland-Hayward, CA |
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Total nonfarm |
2,105.4 | 2,227.5 | 2,248.0 | (p)2,266.5 | (p)161.1 | (p)7.7 | |
Mining and logging |
0.3 | 0.3 | 0.3 | (p)0.3 | (p)0.0 | (p)0.0 | |
Construction |
91.2 | 122.2 | 122.9 | (p)123.2 | (p)32.0 | (p)35.1 | |
Manufacturing |
131.3 | 141.9 | 141.6 | (p)140.2 | (p)8.9 | (p)6.8 | |
Trade, transportation, and utilities |
308.9 | 335.0 | 333.9 | (p)333.4 | (p)24.5 | (p)7.9 | |
Information |
131.5 | 134.0 | 134.6 | (p)135.2 | (p)3.7 | (p)2.8 | |
Financial activities |
139.8 | 137.3 | 138.0 | (p)138.6 | (p)-1.2 | (p)-0.9 | |
Professional and business services |
468.3 | 482.4 | 486.6 | (p)490.4 | (p)22.1 | (p)4.7 | |
Education and health services |
331.1 | 353.9 | 358.9 | (p)357.4 | (p)26.3 | (p)7.9 | |
Leisure and hospitality |
131.1 | 153.5 | 160.3 | (p)172.9 | (p)41.8 | (p)31.9 | |
Other services |
60.0 | 66.4 | 68.2 | (p)70.0 | (p)10.0 | (p)16.7 | |
Government |
311.9 | 300.6 | 302.7 | (p)304.9 | (p)-7.0 | (p)-2.2 | |
Washington-Arlington-Alexandria, DC-VA-MD-WV |
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Total nonfarm |
2,965.1 | 3,125.0 | 3,144.3 | (p)3,172.6 | (p)207.5 | (p)7.0 | |
Mining, logging, and construction |
153.2 | 156.4 | 158.7 | (p)158.9 | (p)5.7 | (p)3.7 | |
Manufacturing |
51.2 | 55.0 | 55.1 | (p)55.4 | (p)4.2 | (p)8.2 | |
Trade, transportation, and utilities |
342.6 | 386.0 | 386.8 | (p)387.8 | (p)45.2 | (p)13.2 | |
Information |
73.6 | 72.7 | 72.6 | (p)73.8 | (p)0.2 | (p)0.3 | |
Financial activities |
154.0 | 152.4 | 151.6 | (p)152.6 | (p)-1.4 | (p)-0.9 | |
Professional and business services |
754.0 | 764.1 | 765.8 | (p)772.5 | (p)18.5 | (p)2.5 | |
Education and health services |
400.1 | 427.2 | 429.8 | (p)431.9 | (p)31.8 | (p)7.9 | |
Leisure and hospitality |
158.8 | 221.8 | 228.7 | (p)242.1 | (p)83.3 | (p)52.5 | |
Other services |
177.1 | 187.8 | 188.2 | (p)188.9 | (p)11.8 | (p)6.7 | |
Government |
700.5 | 701.6 | 707.0 | (p)708.7 | (p)8.2 | (p)1.2 | |
SOURCE: Current Employment Statistics - National - State and Metropolitan Area |
Last Modified Date: Tuesday, June 01, 2021