
An official website of the United States government
22-510-BOS
Wednesday, March 23, 2022
Total nonfarm employment for the Boston-Cambridge-Nashua, MA-NH, metropolitan area increased by 126,800 over the year in January, the U.S. Bureau of Labor Statistics reported today. (See chart 1 and table 1.) Regional Commissioner William J. Sibley noted that the local rate of job gain, 5.0 percent, compared to the 4.6-percent national increase. (All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)
Boston-Cambridge-Nashua, MA-NH, includes 10 metropolitan divisions--separately identifiable employment centers within the larger metropolitan area. Boston-Cambridge-Newton, MA, which made up 68 percent of the metropolitan area’s total nonfarm employment, gained 95,600 jobs from January 2021 to January 2022. The Lawrence-Methuen Town-Salem, MA-NH, and Peabody-Salem-Beverly, MA, divisions added 3,500 and 3,600 jobs, respectively, over the year. These areas made up 3.0 and 3.3 percent of the area’s employment, respectively.
Industry employment
In Boston-Cambridge-Nashua, MA-NH, leisure and hospitality had the largest gain (+53,800) among the metropolitan area’s private-industry supersectors. (See chart 2.) The 32.2-percent increase in the metropolitan area’s leisure and hospitality supersector compared to the 19.5-percent gain on a national level. The Boston-Cambridge-Newton, MA, division gained 41,900 jobs, or nearly 80 percent of the metropolitan area’s employment gain in this industry. Within the division, accommodation and food services added 36,000 jobs.
Professional and business services added 25,300 jobs over the year in the metropolitan area. The metropolitan area had a 5.1-percent gain which was the same rate recorded for the nation.
Education and health services, the largest supersector in the metropolitan area, gained 18,200 jobs over the year. The 3.2-percent rise in this supersector compared to a 2.3-percent gain nationally. The Boston- Cambridge-Newton, MA division gained 13,600 jobs, or 75 percent of the metropolitan area’s employment gain in this industry.
Significant job gain was also recorded in the other services supersector (+7,000).
Employment in the twelve largest metropolitan areas
Boston-Cambridge-Nashua, MA-NH, was 1 of the nation’s 12 largest metropolitan statistical areas in January 2022. All 12 areas gained jobs over the year. New York-Newark-Jersey City, NY-NJ-PA, had the largest increase (+504,300), followed by Los Angeles-Long Beach-Anaheim, CA (+464,100). Phoenix-Mesa-Scottsdale, AZ, had the smallest gain (+91,300) among the largest areas. (See table 2 and chart 3.)
Los Angeles-Long Beach-Anaheim, CA, had an 8.4-percent rate of job gain, followed by San Francisco-Hayward-Oakland, CA (+7.7 percent). The rates of job increase in the remaining 10 areas ranged from 6.5 percent in Dallas-Fort Worth-Arlington, TX, to 3.4 percent in Washington-Arlington-Alexandria, DC-VA-MD-WV.
The Metropolitan Area Employment and Unemployment release for April 2022 is scheduled to be released on June 1, 2022, at 10:00 a.m. (ET).
Effective with this news release, all nonfarm payroll employment estimates for areas presented in tables 1 and 2 have been adjusted to 2021 benchmark levels in accordance with standard practices. Not seasonally adjusted data beginning with April 2020 were subject to revision. Some series may have been revised as far back as 1990.
Also effective with this news release, the Current Employment Statistics (CES) program implemented a new generation small area model for metropolitan area series. The new model replaces the CES small domain model and variants of the Fay-Herriot model in estimating private sector series with insufficient sample for direct sample-based estimation. More information on the new model is detailed in the paper "Bayesian Nonparametric Joint Model for Point Estimates and Variances" by Julie Gershunskaya and Terrance Savitsky, available on the BLS website at www.bls.gov/osmr/research-papers/2019/st190020.htm.
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 www.bls.gov/web/laus/bmrk_article.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 12metropolitanareasdiscussedinthisreleasearethemetropolitan areas withthelargest populationaccording totheU.S. Census Bureau.
Areas in the six New England states are defined as Metropolitan New England City and Town Areas (NECTAs), while areas in other states are county-based and identified as metropolitan areas and metropolitan divisions. However, for comparative purposes, the Boston NECTA and its divisions have been referred to as a metropolitan area and metropolitan divisions.
The Boston-Cambridge-Nashua, MA-NH Metropolitan New England City and Town Area (NECTA) includes 10 NECTA divisions--subdivisions of the larger NECTA which function as distinct social, economic, and cultural areas within the larger region. The NECTA divisions that compose the Boston-Cambridge-Nashua, MA-NH NECTA include: Boston-Cambridge-Newton, MA; Brockton-Bridgewater-Easton, MA; Framingham, MA; Haverhill-Newburyport-Amesbury town, MA-NH; Lawrence-Methuen town-Salem, MA-NH; Lowell- Billerica-Chelmsford, MA-NH; Lynn-Saugus-Marblehead, MA; Nashua, NH-MA; Peabody-Salem-Beverly, MA; Taunton-Middleborough-Norton, MA; and select cities and towns within.
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; Telecommunications Relay Service: 7-1-1.
Area and Industry | Jan 2021 | Nov 2022 | Dec 2022 | Jan 2022(p) | Change from Jan 2021 to Jan 2022 | |
---|---|---|---|---|---|---|
Net change | Percent change | |||||
U.S. | ||||||
Total nonfarm | 140,974 | 150,210 | 150,352 | 147,510 | 6,536 | 4.6 |
Mining and logging | 540 | 587 | 589 | 581 | 41 | 7.6 |
Construction | 7,033 | 7,582 | 7,449 | 7,191 | 158 | 2.2 |
Manufacturing | 12,108 | 12,530 | 12,579 | 12,485 | 377 | 3.1 |
Trade, transportation, and utilities | 27,215 | 28,705 | 29,043 | 28,282 | 1,067 | 3.9 |
Information | 2,717 | 2,914 | 2,925 | 2,884 | 167 | 6.1 |
Financial activities | 8,679 | 8,865 | 8,893 | 8,804 | 125 | 1.4 |
Professional and business services | 20,473 | 21,983 | 21,964 | 21,520 | 1,047 | 5.1 |
Educational and health services | 23,209 | 24,155 | 24,090 | 23,751 | 542 | 2.3 |
Leisure and hospitality | 12,099 | 14,755 | 14,804 | 14,459 | 2,360 | 19.5 |
Other services | 5,241 | 5,583 | 5,586 | 5,521 | 280 | 5.3 |
Government | 21,660 | 22,551 | 22,430 | 22,032 | 372 | 1.7 |
Boston-Cambridge-Nashua, MA-NH | ||||||
Total nonfarm | 2,560.0 | 2,734.9 | 2,739.2 | 2,686.8 | 126.8 | 5.0 |
Mining, logging, and construction | 113.4 | 128.5 | 126.1 | 120.1 | 6.7 | 5.9 |
Manufacturing | 176.3 | 181.1 | 181.5 | 181.4 | 5.1 | 2.9 |
Trade, transportation, and utilities | 398.4 | 406.2 | 415.1 | 402.9 | 4.5 | 1.1 |
Information | 79.8 | 82.3 | 83.1 | 82.5 | 2.7 | 3.4 |
Financial activities | 181.4 | 179.8 | 180.0 | 179.0 | -2.4 | -1.3 |
Professional and business services | 496.7 | 529.4 | 528.4 | 522.0 | 25.3 | 5.1 |
Educational and health services | 565.3 | 595.9 | 592.9 | 583.5 | 18.2 | 3.2 |
Leisure and hospitality | 167.0 | 227.9 | 229.6 | 220.8 | 53.8 | 32.2 |
Other services | 86.2 | 94.3 | 94.4 | 93.2 | 7.0 | 8.1 |
Government | 295.5 | 309.5 | 308.1 | 301.4 | 5.9 | 2.0 |
Boston-Cambridge-Newton, MA division | ||||||
Total nonfarm | 1,734.5 | 1,861.1 | 1,863.8 | 1,830.1 | 95.6 | 5.5 |
Mining, logging, and construction | 68.1 | 76.9 | 75.5 | 72.4 | 4.3 | 6.3 |
Manufacturing | 73.2 | 76.2 | 76.1 | 76.1 | 2.9 | 4.0 |
Trade, transportation, and utilities | 231.5 | 236.9 | 242.5 | 235.7 | 4.2 | 1.8 |
Information | 62.2 | 65.0 | 65.8 | 65.3 | 3.1 | 5.0 |
Financial activities | 151.3 | 149.4 | 149.8 | 149.1 | -2.2 | -1.5 |
Professional and business services | 384.5 | 408.9 | 408.6 | 405.5 | 21.0 | 5.5 |
Educational and health services | 412.1 | 436.9 | 434.2 | 425.7 | 13.6 | 3.3 |
Leisure and hospitality | 106.1 | 153.2 | 154.8 | 148.0 | 41.9 | 39.5 |
Other services | 56.3 | 62.4 | 62.6 | 61.6 | 5.3 | 9.4 |
Government | 189.2 | 195.3 | 193.9 | 190.7 | 1.5 | 0.8 |
Area | Jan 2021 | Nov 2021 | Dec 2021 | Jan 2022(p) | Jan 2021 to Jan 2022(p) | |
---|---|---|---|---|---|---|
Net change | Percent change | |||||
United States(1) | ||||||
Total nonfarm | 140,974 | 150,210 | 150,352 | 147,510 | 6,536 | 4.6 |
Mining and logging | 540 | 587 | 589 | 581 | 41 | 7.6 |
Construction | 7,033 | 7,582 | 7,449 | 7,191 | 158 | 2.2 |
Manufacturing | 12,108 | 12,530 | 12,579 | 12,485 | 377 | 3.1 |
Trade, transportation, and utilities | 27,215 | 28,705 | 29,043 | 28,282 | 1,067 | 3.9 |
Information | 2,717 | 2,914 | 2,925 | 2,884 | 167 | 6.1 |
Financial activities | 8,679 | 8,865 | 8,893 | 8,804 | 125 | 1.4 |
Professional and business services | 20,473 | 21,983 | 21,964 | 21,520 | 1,047 | 5.1 |
Education and health services | 23,209 | 24,155 | 24,090 | 23,751 | 542 | 2.3 |
Leisure and hospitality | 12,099 | 14,755 | 14,804 | 14,459 | 2,360 | 19.5 |
Other services | 5,241 | 5,583 | 5,586 | 5,521 | 280 | 5.3 |
Government | 21,660 | 22,551 | 22,430 | 22,032 | 372 | 1.7 |
Atlanta-Sandy Springs-Roswell, GA | ||||||
Total nonfarm | 2,729.7 | 2,899.4 | 2,916.8 | 2,894.6 | 164.9 | 6.0 |
Mining and logging | 1.8 | 1.9 | 1.9 | 1.9 | 0.1 | 5.6 |
Construction | 126.3 | 134.0 | 133.1 | 133.4 | 7.1 | 5.6 |
Manufacturing | 163.5 | 172.8 | 175.0 | 172.3 | 8.8 | 5.4 |
Trade, transportation, and utilities | 592.7 | 632.0 | 642.7 | 632.2 | 39.5 | 6.7 |
Information | 101.8 | 112.8 | 112.7 | 114.7 | 12.9 | 12.7 |
Financial activities | 179.8 | 188.8 | 190.0 | 191.6 | 11.8 | 6.6 |
Professional and business services | 534.3 | 569.0 | 572.4 | 569.3 | 35.0 | 6.6 |
Education and health services | 359.6 | 382.1 | 381.3 | 381.2 | 21.6 | 6.0 |
Leisure and hospitality | 242.7 | 273.7 | 274.9 | 267.9 | 25.2 | 10.4 |
Other services | 95.4 | 99.2 | 99.8 | 99.5 | 4.1 | 4.3 |
Government | 331.8 | 333.1 | 333.0 | 330.6 | -1.2 | -0.4 |
Boston-Cambridge-Nashua, MA-NH (NECTA) | ||||||
Total nonfarm | 2,560.0 | 2,734.9 | 2,739.2 | 2,686.8 | 126.8 | 5.0 |
Mining, logging, and construction | 113.4 | 128.5 | 126.1 | 120.1 | 6.7 | 5.9 |
Manufacturing | 176.3 | 181.1 | 181.5 | 181.4 | 5.1 | 2.9 |
Trade, transportation, and utilities | 398.4 | 406.2 | 415.1 | 402.9 | 4.5 | 1.1 |
Information | 79.8 | 82.3 | 83.1 | 82.5 | 2.7 | 3.4 |
Financial activities | 181.4 | 179.8 | 180.0 | 179.0 | -2.4 | -1.3 |
Professional and business services | 496.7 | 529.4 | 528.4 | 522.0 | 25.3 | 5.1 |
Education and health services | 565.3 | 595.9 | 592.9 | 583.5 | 18.2 | 3.2 |
Leisure and hospitality | 167.0 | 227.9 | 229.6 | 220.8 | 53.8 | 32.2 |
Other services | 86.2 | 94.3 | 94.4 | 93.2 | 7.0 | 8.1 |
Government | 295.5 | 309.5 | 308.1 | 301.4 | 5.9 | 2.0 |
Chicago-Naperville-Elgin, IL-IN-WI | ||||||
Total nonfarm | 4,326.0 | 4,645.7 | 4,656.9 | 4,553.6 | 227.6 | 5.3 |
Mining and logging | 1.4 | 1.9 | 1.7 | 1.7 | 0.3 | 21.4 |
Construction | 152.1 | 182.5 | 174.2 | 157.7 | 5.6 | 3.7 |
Manufacturing | 397.3 | 400.6 | 402.9 | 402.3 | 5.0 | 1.3 |
Trade, transportation, and utilities | 927.6 | 963.3 | 981.3 | 951.5 | 23.9 | 2.6 |
Information | 70.9 | 75.2 | 75.0 | 75.5 | 4.6 | 6.5 |
Financial activities | 312.2 | 318.8 | 317.9 | 315.0 | 2.8 | 0.9 |
Professional and business services | 784.8 | 837.3 | 843.6 | 826.1 | 41.3 | 5.3 |
Education and health services | 702.5 | 725.1 | 719.7 | 712.4 | 9.9 | 1.4 |
Leisure and hospitality | 304.8 | 425.0 | 424.3 | 408.9 | 104.1 | 34.2 |
Other services | 175.2 | 184.1 | 185.7 | 184.4 | 9.2 | 5.3 |
Government | 497.2 | 531.9 | 530.6 | 518.1 | 20.9 | 4.2 |
Dallas-Fort Worth-Arlington, TX | ||||||
Total nonfarm | 3,709.1 | 3,992.4 | 3,999.9 | 3,949.4 | 240.3 | 6.5 |
Mining, logging, and construction | 212.5 | 220.1 | 224.9 | 222.6 | 10.1 | 4.8 |
Manufacturing | 280.8 | 287.9 | 288.1 | 284.4 | 3.6 | 1.3 |
Trade, transportation, and utilities | 819.3 | 888.7 | 894.4 | 870.3 | 51.0 | 6.2 |
Information | 79.8 | 84.6 | 85.6 | 86.1 | 6.3 | 7.9 |
Financial activities | 330.0 | 350.5 | 351.0 | 352.9 | 22.9 | 6.9 |
Professional and business services | 648.4 | 725.3 | 721.0 | 713.7 | 65.3 | 10.1 |
Education and health services | 450.9 | 471.3 | 470.8 | 465.4 | 14.5 | 3.2 |
Leisure and hospitality | 328.8 | 383.7 | 382.7 | 378.8 | 50.0 | 15.2 |
Other services | 113.0 | 126.6 | 127.9 | 125.1 | 12.1 | 10.7 |
Government | 445.6 | 453.7 | 453.5 | 450.1 | 4.5 | 1.0 |
Houston-The Woodlands-Sugar Land, TX | ||||||
Total nonfarm | 2,971.6 | 3,160.7 | 3,177.0 | 3,125.3 | 153.7 | 5.2 |
Mining and logging | 61.1 | 62.1 | 63.6 | 63.7 | 2.6 | 4.3 |
Construction | 199.9 | 214.6 | 216.3 | 210.2 | 10.3 | 5.2 |
Manufacturing | 210.6 | 215.8 | 218.0 | 217.1 | 6.5 | 3.1 |
Trade, transportation, and utilities | 619.4 | 660.6 | 668.4 | 649.3 | 29.9 | 4.8 |
Information | 28.0 | 31.0 | 31.2 | 31.5 | 3.5 | 12.5 |
Financial activities | 165.0 | 169.0 | 171.1 | 169.7 | 4.7 | 2.8 |
Professional and business services | 486.5 | 515.1 | 515.7 | 508.3 | 21.8 | 4.5 |
Education and health services | 399.9 | 426.6 | 424.4 | 422.5 | 22.6 | 5.7 |
Leisure and hospitality | 281.3 | 315.1 | 318.9 | 312.9 | 31.6 | 11.2 |
Other services | 103.0 | 113.8 | 112.2 | 110.5 | 7.5 | 7.3 |
Government | 416.9 | 437.0 | 437.2 | 429.6 | 12.7 | 3.0 |
Los Angeles-Long Beach-Anaheim, CA | ||||||
Total nonfarm | 5,543.1 | 6,074.6 | 6,111.4 | 6,007.2 | 464.1 | 8.4 |
Mining and logging | 2.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 |
Construction | 245.0 | 251.3 | 254.2 | 248.0 | 3.0 | 1.2 |
Manufacturing | 450.9 | 461.7 | 463.1 | 461.5 | 10.6 | 2.4 |
Trade, transportation, and utilities | 1,052.2 | 1,103.0 | 1,116.3 | 1,091.4 | 39.2 | 3.7 |
Information | 207.8 | 252.4 | 252.4 | 246.8 | 39.0 | 18.8 |
Financial activities | 325.2 | 323.7 | 326.8 | 323.6 | -1.6 | -0.5 |
Professional and business services | 915.6 | 981.6 | 984.8 | 959.6 | 44.0 | 4.8 |
Education and health services | 1,046.9 | 1,101.3 | 1,104.0 | 1,098.1 | 51.2 | 4.9 |
Leisure and hospitality | 440.4 | 675.0 | 681.6 | 663.1 | 222.7 | 50.6 |
Other services | 152.0 | 191.7 | 195.6 | 192.2 | 40.2 | 26.4 |
Government | 705.1 | 730.9 | 730.6 | 720.9 | 15.8 | 2.2 |
Miami-Fort Lauderdale-West Palm Beach, FL | ||||||
Total nonfarm | 2,575.1 | 2,749.2 | 2,762.1 | 2,728.6 | 153.5 | 6.0 |
Mining and logging | 0.8 | 0.8 | 0.9 | 0.9 | 0.1 | 12.5 |
Construction | 136.8 | 141.5 | 140.9 | 138.5 | 1.7 | 1.2 |
Manufacturing | 87.6 | 91.5 | 91.8 | 90.1 | 2.5 | 2.9 |
Trade, transportation, and utilities | 593.6 | 631.6 | 638.6 | 626.0 | 32.4 | 5.5 |
Information | 47.1 | 52.9 | 52.7 | 52.1 | 5.0 | 10.6 |
Financial activities | 190.2 | 201.3 | 200.1 | 201.4 | 11.2 | 5.9 |
Professional and business services | 447.8 | 482.7 | 488.4 | 483.3 | 35.5 | 7.9 |
Education and health services | 398.6 | 417.0 | 415.6 | 407.9 | 9.3 | 2.3 |
Leisure and hospitality | 262.7 | 308.5 | 313.0 | 312.6 | 49.9 | 19.0 |
Other services | 106.8 | 113.5 | 112.9 | 111.9 | 5.1 | 4.8 |
Government | 303.1 | 307.9 | 307.2 | 303.9 | 0.8 | 0.3 |
New York-Newark-Jersey City, NY-NJ-PA | ||||||
Total nonfarm | 8,884.7 | 9,590.4 | 9,639.0 | 9,389.0 | 504.3 | 5.7 |
Mining, logging, and construction | 369.0 | 395.0 | 390.2 | 364.8 | -4.2 | -1.1 |
Manufacturing | 327.3 | 337.6 | 339.3 | 333.5 | 6.2 | 1.9 |
Trade, transportation, and utilities | 1,572.6 | 1,667.3 | 1,695.5 | 1,637.7 | 65.1 | 4.1 |
Information | 289.6 | 318.8 | 319.8 | 316.8 | 27.2 | 9.4 |
Financial activities | 759.4 | 771.6 | 775.9 | 768.5 | 9.1 | 1.2 |
Professional and business services | 1,459.4 | 1,589.1 | 1,602.1 | 1,551.5 | 92.1 | 6.3 |
Education and health services | 1,948.9 | 2,046.4 | 2,044.7 | 2,002.3 | 53.4 | 2.7 |
Leisure and hospitality | 545.8 | 781.1 | 787.3 | 748.3 | 202.5 | 37.1 |
Other services | 352.1 | 382.0 | 381.7 | 381.8 | 29.7 | 8.4 |
Government | 1,260.6 | 1,301.5 | 1,302.5 | 1,283.8 | 23.2 | 1.8 |
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | ||||||
Total nonfarm | 2,760.5 | 2,935.4 | 2,947.1 | 2,885.5 | 125.0 | 4.5 |
Mining, logging, and construction | 112.1 | 122.6 | 120.0 | 117.3 | 5.2 | 4.6 |
Manufacturing | 171.8 | 175.0 | 176.8 | 174.7 | 2.9 | 1.7 |
Trade, transportation, and utilities | 522.1 | 544.2 | 555.2 | 537.1 | 15.0 | 2.9 |
Information | 47.4 | 50.3 | 50.2 | 49.5 | 2.1 | 4.4 |
Financial activities | 215.3 | 217.9 | 219.3 | 217.0 | 1.7 | 0.8 |
Professional and business services | 451.9 | 481.2 | 480.5 | 475.5 | 23.6 | 5.2 |
Education and health services | 627.9 | 654.4 | 655.4 | 645.2 | 17.3 | 2.8 |
Leisure and hospitality | 182.3 | 240.7 | 240.6 | 227.2 | 44.9 | 24.6 |
Other services | 106.6 | 115.2 | 116.1 | 115.4 | 8.8 | 8.3 |
Government | 323.1 | 333.9 | 333.0 | 326.6 | 3.5 | 1.1 |
Phoenix-Mesa-Scottsdale, AZ | ||||||
Total nonfarm | 2,159.0 | 2,278.3 | 2,286.6 | 2,250.3 | 91.3 | 4.2 |
Mining and logging | 2.6 | 2.9 | 2.9 | 2.9 | 0.3 | 11.5 |
Construction | 134.8 | 139.4 | 139.9 | 138.5 | 3.7 | 2.7 |
Manufacturing | 134.6 | 139.8 | 139.1 | 140.1 | 5.5 | 4.1 |
Trade, transportation, and utilities | 432.7 | 463.3 | 468.6 | 457.8 | 25.1 | 5.8 |
Information | 38.2 | 41.7 | 41.6 | 40.1 | 1.9 | 5.0 |
Financial activities | 213.9 | 217.5 | 217.2 | 214.8 | 0.9 | 0.4 |
Professional and business services | 362.1 | 381.1 | 385.8 | 372.8 | 10.7 | 3.0 |
Education and health services | 338.8 | 351.0 | 351.9 | 346.8 | 8.0 | 2.4 |
Leisure and hospitality | 195.2 | 224.5 | 224.7 | 225.9 | 30.7 | 15.7 |
Other services | 64.8 | 70.4 | 70.9 | 70.2 | 5.4 | 8.3 |
Government | 241.3 | 246.7 | 244.0 | 240.4 | -0.9 | -0.4 |
San Francisco-Oakland-Hayward, CA | ||||||
Total nonfarm | 2,211.7 | 2,403.4 | 2,416.7 | 2,382.8 | 171.1 | 7.7 |
Mining and logging | 0.4 | 0.4 | 0.4 | 0.4 | 0.0 | 0.0 |
Construction | 118.4 | 120.6 | 118.8 | 116.8 | -1.6 | -1.4 |
Manufacturing | 142.9 | 148.4 | 149.4 | 149.4 | 6.5 | 4.5 |
Trade, transportation, and utilities | 344.4 | 359.5 | 366.8 | 358.6 | 14.2 | 4.1 |
Information | 135.0 | 144.0 | 145.0 | 143.9 | 8.9 | 6.6 |
Financial activities | 137.8 | 140.5 | 141.5 | 140.4 | 2.6 | 1.9 |
Professional and business services | 474.9 | 506.6 | 508.8 | 508.3 | 33.4 | 7.0 |
Education and health services | 353.2 | 371.8 | 372.7 | 366.2 | 13.0 | 3.7 |
Leisure and hospitality | 140.4 | 217.9 | 219.6 | 211.3 | 70.9 | 50.5 |
Other services | 61.9 | 78.6 | 79.3 | 77.8 | 15.9 | 25.7 |
Government | 302.4 | 315.1 | 314.4 | 309.7 | 7.3 | 2.4 |
Washington-Arlington-Alexandria, DC-VA-MD-WV | ||||||
Total nonfarm | 3,118.4 | 3,293.1 | 3,295.2 | 3,224.5 | 106.1 | 3.4 |
Mining, logging, and construction | 157.2 | 163.0 | 161.6 | 156.9 | -0.3 | -0.2 |
Manufacturing | 54.3 | 55.6 | 56.5 | 54.9 | 0.6 | 1.1 |
Trade, transportation, and utilities | 393.4 | 411.4 | 418.5 | 401.9 | 8.5 | 2.2 |
Information | 74.3 | 77.4 | 77.8 | 77.5 | 3.2 | 4.3 |
Financial activities | 155.1 | 154.2 | 154.0 | 150.9 | -4.2 | -2.7 |
Professional and business services | 766.2 | 795.7 | 791.8 | 779.4 | 13.2 | 1.7 |
Education and health services | 421.2 | 430.5 | 432.5 | 421.7 | 0.5 | 0.1 |
Leisure and hospitality | 212.4 | 286.8 | 288.1 | 279.5 | 67.1 | 31.6 |
Other services | 190.6 | 194.0 | 195.3 | 194.1 | 3.5 | 1.8 |
Government | 693.7 | 724.5 | 719.1 | 707.7 | 14.0 | 2.0 |
Footnotes |
Last Modified Date: Wednesday, March 23, 2022