News Release Information

16-1859-CHI
Thursday, October 06, 2016

Contacts

Technical information:
Media contact:
  • (312) 353-1138

Chicago Area Employment — August 2016

Local Rate of Employment Growth Below National Average

Total nonfarm employment for the Chicago-Naperville-Elgin, Ill.-Ind.-Wis. Metropolitan Statistical Area stood at 4,681,500 in August 2016, up 62,200, or 1.3 percent, over the year, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count increased 1.7 percent. Assistant Commissioner for Regional Operations Charlene Peiffer noted that the Chicago metropolitan area has had over-the-year employment increases each month since October 2010. (See chart 1 and table 1; 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 Chicago metropolitan area is made up of four metropolitan divisions—separately identifiable employment centers within the larger metropolitan area. The Chicago-Naperville-Arlington Heights Metropolitan Division, which accounted for 80 percent of the area’s workforce, added 46,800 jobs from August a year ago. Employment in the Lake County-Kenosha County, Ill.-Wis. Metropolitan Division increased by 6,300, while employment in the Gary, Ind. Metropolitan Division and the Elgin, Ill. Metropolitan Division grew by 5,700 and 3,400, respectively, over the year.

Industry employment

In the Chicago metropolitan area, the leisure and hospitality industry had the largest employment gain from August 2015 to August 2016, up 22,100 or 4.7 percent. The Chicago division added 19,200 of these jobs. Nationwide, employment in leisure and hospitality rose 2.7 percent from the previous August. (See chart 2.)

Two other supersectors gained more than 9,000 jobs locally over the year. The professional and business services supersector gained 13,500 jobs since last August. However, the Chicago area’s 1.6-percent growth in professional and business services employment was less than the nationwide increase of 2.7 percent. Local employment growth in this industry was concentrated in the Chicago division, up 11,900 jobs. Construction added 9,500 jobs locally, up 5.4 percent from the previous August. Nationwide, construction employment grew by 2.7 percent.

Trade, transportation, and utilities, the largest supersector in the Chicago area, added 6,300 jobs, a 0.7-percent gain from August a year ago. This supersector has had over-the-year employment increases each month since October 2010. From August 2015 to August 2016, the Lake division added 2,500 jobs and the Gary division added 2,400 jobs. Nationally, employment in the trade, transportation, and utilities supersector increased 1.4 percent from August 2015.

Manufacturing lost 3,900 jobs locally, down 0.9 percent, from August 2015 to August 2016. The job losses were concentrated in the Chicago division, where 3,300 jobs were lost. Nationwide, manufacturing employment declined 0.3 percent during the same period.

Two other local supersectors lost more than 1,000 jobs from August a year ago: financial activities (-2,700) and information (-1,600). Nationally, employment in financial activities and information increased over the year.

Employment in the 12 largest metropolitan areas

Chicago was 1 of the nation’s 12 largest metropolitan statistical areas in August 2016. (See chart 3 and table 2.) All 12 areas experienced over-the-year job growth during the period, with the rates of growth in 10 areas exceeding the national average of 1.7 percent. The fastest rate of job growth was in Dallas-Fort Worth-Arlington, 3.4 percent, followed by Atlanta-Sandy Springs-Roswell at 2.7 percent. The Houston-The Woodlands-Sugar Land area had the slowest rate of job growth, up 0.5 percent. (See chart 3 and table 2.)

The New York-Newark-Jersey City area added the largest number of jobs, 184,200, since August 2015. Employment in Dallas and Los Angeles-Long Beach-Anaheim also added over 100,000 jobs each. Houston had the smallest gain, adding just 14,200 jobs over the 12-month period.

Education and health services had the most job growth in 5 of the 12 metropolitan areas from August a year ago—Boston-Cambridge-Nashua, Los Angeles, New York, Phoenix-Mesa-Scottsdale, and San Francisco-Oakland-Hayward. Professional and business services added the most jobs in three areas—Miami-Fort Lauderdale-West Palm Beach, Philadelphia-Camden-Wilmington, and Washington-Arlington-Alexandria.

Manufacturing had the largest over-the-year loss of jobs in six areas—Boston, Chicago, Dallas, Houston, Los Angeles, and Miami. New York and Philadelphia were the only areas to experience no job losses for any supersector since last August.

Metropolitan area employment data for September 2016 are scheduled to be released on Friday, October 21, 2016.


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. The employment data are estimated using a "link relative" technique in which a ratio (link relative) of current-month employment to that of the previous month is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are obtained by multiplying the estimates for the previous month by these ratios. Small-domain models are used as the official estimators for approximately 39 percent of CES published series which have insufficient sample for direct sample-based estimates.

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 state CES data at the supersector level are available on the BLS Web site at www.bls.gov/sae/790stderr.htm. Information on recent benchmark revisions for states is available at www.bls.gov/sae/.

Area definitions. The substate area data published in this release reflect the delineations issued by the U.S. Office of Management and Budget on February 28, 2013. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm.

The Chicago-Naperville-Elgin, Ill.-Ind.-Wis. Metropolitan Statistical Area (MSA) includes Cook, DeKalb, DuPage, Grundy, Kane, Kendall, Lake, McHenry, and Will Counties in Illinois; Jasper, Lake, Newton, and Porter Counties in Indiana; and Kenosha County in Wisconsin.

  • The Chicago-Naperville-Arlington Heights, Ill. Metropolitan Division (MD) includes Cook, DuPage, Grundy, Kendall, McHenry, and Will Counties in Illinois.
  • The Elgin, Ill. Metropolitan Division (MD) includes DeKalb and Kane Counties.
  • The Lake County-Kenosha County, Ill.-Wis. Metropolitan Division (MD) includes Lake County in Illinois and Kenosha County in Wisconsin.
  • The Gary, Ind. Metropolitan Division (MD) includes Jasper, Lake, Newton, and Porter Counties in Indiana.

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, the Chicago metropolitan area and its components, not seasonally adjusted (numbers in thousands)
Area and Industry
 
Aug
2015
Jun
2016
Jul
2016
Aug
2016 (P)
Aug 2015 to
Aug 2016 (P)
Net
change
Percent
change

Chicago-Naperville-Elgin, IL-IN-WI Metropolitan Statistical Area

 

Total nonfarm

4,619.3 4,701.8 4,686.9 4,681.5 62.2 1.3

Mining and logging

1.6 1.6 1.6 1.5 -0.1 -6.3

Construction

174.8 181.6 184.7 184.3 9.5 5.4

Manufacturing

415.8 415.1 414.3 411.9 -3.9 -0.9

Trade, transportation, and utilities

934.1 942.5 943.8 940.4 6.3 0.7

Information

82.7 81.6 81.6 81.1 -1.6 -1.9

Financial activities

297.2 295.4 294.9 294.5 -2.7 -0.9

Professional and business services

820.8 831.5 830.6 834.3 13.5 1.6

Education and health services

687.8 702.1 699.1 694.9 7.1 1.0

Leisure and hospitality

472.9 492.0 491.0 495.0 22.1 4.7

Other services

195.8 198.4 201.0 201.3 5.5 2.8

Government

535.8 560.0 544.3 542.3 6.5 1.2

Chicago-Naperville-Arlington Heights, IL Metropolitan Division

 

Total nonfarm

3,677.4 3,737.0 3,731.6 3,724.2 46.8 1.3

Mining and logging

1.2 1.2 1.2 1.1 -0.1 -8.3

Construction

130.4 135.3 137.4 136.8 6.4 4.9

Manufacturing

283.6 282.4 281.9 280.3 -3.3 -1.2

Trade, transportation, and utilities

738.2 740.7 742.1 738.3 0.1 0.0

Information

73.4 72.7 72.7 72.2 -1.2 -1.6

Financial activities

256.4 254.9 254.6 254.2 -2.2 -0.9

Professional and business services

687.4 697.0 695.7 699.3 11.9 1.7

Education and health services

562.3 574.5 572.2 568.1 5.8 1.0

Leisure and hospitality

371.8 387.0 387.4 391.0 19.2 5.2

Other services

159.8 162.0 164.6 165.1 5.3 3.3

Government

412.9 429.3 421.8 417.8 4.9 1.2

Elgin, IL Metropolitan Division

 

Total nonfarm

256.4 262.7 261.5 259.8 3.4 1.3

Mining and logging

0.2 0.2 0.2 0.2 0.0 0.0

Construction

14.5 15.0 15.4 15.6 1.1 7.6

Manufacturing

35.5 35.5 35.5 34.7 -0.8 -2.3

Trade, transportation, and utilities

47.1 48.1 48.2 48.4 1.3 2.8

Information

3.5 3.4 3.4 3.4 -0.1 -2.9

Financial activities

11.1 10.9 10.9 10.9 -0.2 -1.8

Professional and business services

37.3 38.9 39.2 38.3 1.0 2.7

Education and health services

32.0 32.4 32.4 32.8 0.8 2.5

Leisure and hospitality

26.0 26.4 26.2 25.8 -0.2 -0.8

Other services

9.2 9.5 9.6 9.5 0.3 3.3

Government

40.0 42.4 40.5 40.2 0.2 0.5

Lake County-Kenosha County, IL-WI Metropolitan Division

 

Total nonfarm

413.2 424.9 421.0 419.5 6.3 1.5

Mining and logging

0.1 0.1 0.1 0.1 0.0 0.0

Construction

14.4 15.0 15.3 15.2 0.8 5.6

Manufacturing

60.0 60.8 60.6 60.5 0.5 0.8

Trade, transportation, and utilities

90.0 92.3 92.1 92.5 2.5 2.8

Information

3.8 3.5 3.5 3.5 -0.3 -7.9

Financial activities

21.0 20.8 20.6 20.6 -0.4 -1.9

Professional and business services

73.2 73.4 74.0 74.6 1.4 1.9

Education and health services

46.1 46.8 46.4 45.7 -0.4 -0.9

Leisure and hospitality

42.1 44.4 44.4 44.3 2.2 5.2

Other services

13.2 13.3 13.3 13.2 0.0 0.0

Government

49.3 54.5 50.7 49.3 0.0 0.0

Gary, IN Metropolitan Division

 

Total nonfarm

272.3 277.2 272.8 278.0 5.7 2.1

Mining and logging

0.1 0.1 0.1 0.1 0.0 0.0

Construction

15.5 16.3 16.6 16.7 1.2 7.7

Manufacturing

36.7 36.4 36.3 36.4 -0.3 -0.8

Trade, transportation, and utilities

58.8 61.4 61.4 61.2 2.4 4.1

Information

2.0 2.0 2.0 2.0 0.0 0.0

Financial activities

8.7 8.8 8.8 8.8 0.1 1.1

Professional and business services

22.9 22.2 21.7 22.1 -0.8 -3.5

Education and health services

47.4 48.4 48.1 48.3 0.9 1.9

Leisure and hospitality

33.0 34.2 33.0 33.9 0.9 2.7

Other services

13.6 13.6 13.5 13.5 -0.1 -0.7

Government

33.6 33.8 31.3 35.0 1.4 4.2

Footnotes
(P) Preliminary
 

Table 2. Employees on nonfarm payrolls by industry supersector, United States and 12 largest metropolitan areas, not seasonally adjusted (numbers in thousands)
Area Aug
2015
Jun
2016
Jul
2016
Aug
2016 (P)
Aug 2015 to
Aug 2016 (P)
Net
change
Percent
change

United States (1)

 

Total nonfarm

141,973 145,199 144,200 144,424 2,451 1.7

Mining and logging

814 690 693 689 -125 -15.4

Construction

6,734 6,847 6,915 6,917 183 2.7

Manufacturing

12,409 12,372 12,370 12,371 -38 -0.3

Trade, transportation, and utilities

26,960 27,364 27,348 27,346 386 1.4

Information

2,768 2,797 2,790 2,796 28 1.0

Financial activities

8,208 8,338 8,378 8,379 171 2.1

Professional and business services

19,883 20,344 20,376 20,428 545 2.7

Education and health services

21,791 22,483 22,369 22,399 608 2.8

Leisure and hospitality

15,802 16,179 16,265 16,235 433 2.7

Other services

5,660 5,760 5,758 5,735 75 1.3

Government

20,944 22,025 20,938 21,129 185 0.9

Atlanta-Sandy Springs-Roswell, GA

 

Total nonfarm

2,596.8 2,656.7 2,653.3 2,667.8 71.0 2.7

Mining and logging

1.5 1.4 1.4 1.4 -0.1 -6.7

Construction

109.5 116.1 117.0 117.2 7.7 7.0

Manufacturing

157.9 162.4 162.9 160.9 3.0 1.9

Trade, transportation, and utilities

579.4 593.7 595.8 597.0 17.6 3.0

Information

90.6 88.3 88.8 88.6 -2.0 -2.2

Financial activities

162.8 165.0 166.3 165.8 3.0 1.8

Professional and business services

482.8 495.5 497.0 498.6 15.8 3.3

Education and health services

320.2 321.9 324.6 328.5 8.3 2.6

Leisure and hospitality

277.2 292.6 291.6 293.2 16.0 5.8

Other services

97.5 97.1 96.7 95.6 -1.9 -1.9

Government

317.4 322.7 311.2 321.0 3.6 1.1

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

 

Total nonfarm

2,657.3 2,732.5 2,720.6 2,714.0 56.7 2.1

Mining, logging, and construction

109.8 117.5 120.2 120.0 10.2 9.3

Manufacturing

192.7 190.9 190.2 190.2 -2.5 -1.3

Trade, transportation, and utilities

418.0 426.3 423.3 424.2 6.2 1.5

Information

78.5 78.8 79.3 78.7 0.2 0.3

Financial activities

185.9 188.9 190.8 190.4 4.5 2.4

Professional and business services

464.7 471.9 473.9 471.7 7.0 1.5

Education and health services

546.8 565.6 565.0 564.5 17.7 3.2

Leisure and hospitality

271.3 274.5 282.3 283.8 12.5 4.6

Other services

105.1 106.1 106.8 105.3 0.2 0.2

Government

284.5 312.0 288.8 285.2 0.7 0.2

Chicago-Naperville-Elgin, IL-IN-WI

 

Total nonfarm

4,619.3 4,701.8 4,686.9 4,681.5 62.2 1.3

Mining and logging

1.6 1.6 1.6 1.5 -0.1 -6.3

Construction

174.8 181.6 184.7 184.3 9.5 5.4

Manufacturing

415.8 415.1 414.3 411.9 -3.9 -0.9

Trade, transportation, and utilities

934.1 942.5 943.8 940.4 6.3 0.7

Information

82.7 81.6 81.6 81.1 -1.6 -1.9

Financial activities

297.2 295.4 294.9 294.5 -2.7 -0.9

Professional and business services

820.8 831.5 830.6 834.3 13.5 1.6

Education and health services

687.8 702.1 699.1 694.9 7.1 1.0

Leisure and hospitality

472.9 492.0 491.0 495.0 22.1 4.7

Other services

195.8 198.4 201.0 201.3 5.5 2.8

Government

535.8 560.0 544.3 542.3 6.5 1.2

Dallas-Fort Worth-Arlington, TX

 

Total nonfarm

3,415.1 3,526.8 3,516.2 3,532.4 117.3 3.4

Mining, logging, and construction

201.7 202.0 202.8 203.9 2.2 1.1

Manufacturing

264.0 263.7 262.2 262.8 -1.2 -0.5

Trade, transportation, and utilities

729.1 756.8 758.8 760.4 31.3 4.3

Information

81.3 80.7 80.6 81.6 0.3 0.4

Financial activities

278.0 290.6 293.2 295.5 17.5 6.3

Professional and business services

567.5 578.9 584.6 590.8 23.3 4.1

Education and health services

419.9 430.0 429.9 434.9 15.0 3.6

Leisure and hospitality

358.3 381.4 379.0 376.1 17.8 5.0

Other services

121.0 121.1 120.8 120.4 -0.6 -0.5

Government

394.3 421.6 404.3 406.0 11.7 3.0

Houston-The Woodlands-Sugar Land, TX

 

Total nonfarm

2,979.2 3,001.9 2,992.9 2,993.4 14.2 0.5

Mining and logging

98.6 86.8 86.1 87.3 -11.3 -11.5

Construction

218.6 215.8 217.3 214.9 -3.7 -1.7

Manufacturing

242.8 231.5 231.5 230.0 -12.8 -5.3

Trade, transportation, and utilities

615.0 615.3 617.8 621.0 6.0 1.0

Information

32.7 31.2 30.7 30.3 -2.4 -7.3

Financial activities

152.3 154.5 155.2 155.5 3.2 2.1

Professional and business services

474.2 458.6 463.4 465.0 -9.2 -1.9

Education and health services

370.0 383.4 381.5 385.1 15.1 4.1

Leisure and hospitality

306.3 327.8 327.7 327.6 21.3 7.0

Other services

108.0 109.2 108.3 108.4 0.4 0.4

Government

360.7 387.8 373.4 368.3 7.6 2.1

Los Angeles-Long Beach-Anaheim, CA

 

Total nonfarm

5,803.7 5,963.8 5,901.6 5,916.6 112.9 1.9

Mining and logging

4.6 4.1 4.1 4.1 -0.5 -10.9

Construction

223.4 233.3 232.9 233.2 9.8 4.4

Manufacturing

519.8 513.2 514.7 512.9 -6.9 -1.3

Trade, transportation, and utilities

1,078.7 1,087.7 1,090.5 1,090.8 12.1 1.1

Information

228.6 235.4 229.1 234.6 6.0 2.6

Financial activities

334.8 338.4 337.7 338.8 4.0 1.2

Professional and business services

889.1 911.3 911.9 919.1 30.0 3.4

Education and health services

933.0 974.8 961.8 963.2 30.2 3.2

Leisure and hospitality

704.8 728.3 725.2 726.1 21.3 3.0

Other services

201.6 203.3 202.4 203.0 1.4 0.7

Government

685.3 734.0 691.3 690.8 5.5 0.8

Miami-Fort Lauderdale-West Palm Beach, FL

 

Total nonfarm

2,499.0 2,541.5 2,542.3 2,558.7 59.7 2.4

Mining and logging

0.6 0.6 0.6 0.6 0.0 0.0

Construction

113.9 119.6 122.0 121.8 7.9 6.9

Manufacturing

84.9 84.4 83.8 84.0 -0.9 -1.1

Trade, transportation, and utilities

582.2 594.4 593.1 594.2 12.0 2.1

Information

48.6 48.2 48.1 48.3 -0.3 -0.6

Financial activities

175.9 182.9 184.2 183.3 7.4 4.2

Professional and business services

405.8 415.7 420.9 421.6 15.8 3.9

Education and health services

364.9 373.3 373.1 372.6 7.7 2.1

Leisure and hospitality

302.3 316.7 314.2 310.6 8.3 2.7

Other services

120.0 122.5 121.1 120.1 0.1 0.1

Government

299.9 283.2 281.2 301.6 1.7 0.6

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

 

Total nonfarm

9,332.2 9,607.7 9,574.1 9,516.4 184.2 2.0

Mining, logging, and construction

386.6 396.2 400.6 402.0 15.4 4.0

Manufacturing

369.0 373.0 372.3 370.8 1.8 0.5

Trade, transportation, and utilities

1,707.6 1,741.4 1,729.6 1,725.4 17.8 1.0

Information

285.7 291.7 292.7 292.1 6.4 2.2

Financial activities

777.1 773.4 780.1 778.8 1.7 0.2

Professional and business services

1,501.8 1,521.6 1,524.3 1,523.4 21.6 1.4

Education and health services

1,724.4 1,809.2 1,786.3 1,778.6 54.2 3.1

Leisure and hospitality

912.5 957.8 970.6 957.9 45.4 5.0

Other services

413.3 427.8 429.4 425.3 12.0 2.9

Government

1,254.2 1,315.6 1,288.2 1,262.1 7.9 0.6

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

 

Total nonfarm

2,799.9 2,912.3 2,870.8 2,860.6 60.7 2.2

Mining, logging, and construction

115.5 117.2 117.3 118.6 3.1 2.7

Manufacturing

181.8 184.9 185.0 183.5 1.7 0.9

Trade, transportation, and utilities

516.7 529.6 524.8 522.8 6.1 1.2

Information

46.8 46.9 46.8 46.8 0.0 0.0

Financial activities

210.5 211.7 212.2 213.6 3.1 1.5

Professional and business services

448.0 475.1 471.1 467.3 19.3 4.3

Education and health services

587.7 608.6 604.5 601.7 14.0 2.4

Leisure and hospitality

264.5 277.9 276.0 273.4 8.9 3.4

Other services

118.8 120.3 119.5 119.4 0.6 0.5

Government

309.6 340.1 313.6 313.5 3.9 1.3

Phoenix-Mesa-Scottsdale, AZ

 

Total nonfarm

1,903.2 1,934.2 1,926.2 1,946.1 42.9 2.3

Mining and logging

3.4 3.3 3.2 3.3 -0.1 -2.9

Construction

100.0 108.2 110.0 106.1 6.1 6.1

Manufacturing

120.8 120.9 120.2 119.2 -1.6 -1.3

Trade, transportation, and utilities

375.9 383.4 383.8 383.6 7.7 2.0

Information

36.2 39.2 38.4 37.7 1.5 4.1

Financial activities

168.0 175.2 175.4 174.1 6.1 3.6

Professional and business services

321.3 329.8 331.4 327.6 6.3 2.0

Education and health services

282.6 290.4 288.6 294.5 11.9 4.2

Leisure and hospitality

204.6 209.4 208.2 211.7 7.1 3.5

Other services

64.6 65.6 64.9 64.9 0.3 0.5

Government

225.8 208.8 202.1 223.4 -2.4 -1.1

San Francisco-Oakland-Hayward, CA

 

Total nonfarm

2,275.6 2,325.7 2,327.7 2,330.8 55.2 2.4

Mining and logging

1.0 0.9 0.9 0.9 -0.1 -10.0

Construction

114.7 118.8 122.5 123.9 9.2 8.0

Manufacturing

127.8 128.3 129.4 130.3 2.5 2.0

Trade, transportation, and utilities

367.5 371.5 373.4 374.3 6.8 1.9

Information

86.8 87.0 87.5 86.9 0.1 0.1

Financial activities

131.7 130.2 130.8 132.0 0.3 0.2

Professional and business services

471.9 477.0 483.4 483.9 12.0 2.5

Education and health services

324.9 339.7 339.3 339.1 14.2 4.4

Leisure and hospitality

263.9 271.6 271.5 271.9 8.0 3.0

Other services

83.8 85.6 85.0 83.5 -0.3 -0.4

Government

301.6 315.1 304.0 304.1 2.5 0.8

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

 

Total nonfarm

3,168.8 3,274.9 3,260.8 3,245.8 77.0 2.4

Mining, logging, and construction

155.1 161.9 161.0 160.5 5.4 3.5

Manufacturing

53.3 53.7 54.1 54.2 0.9 1.7

Trade, transportation, and utilities

404.4 417.5 416.8 415.8 11.4 2.8

Information

76.8 75.5 76.1 75.6 -1.2 -1.6

Financial activities

155.1 154.4 156.0 156.4 1.3 0.8

Professional and business services

727.5 745.6 747.8 747.3 19.8 2.7

Education and health services

404.4 420.5 421.3 419.6 15.2 3.8

Leisure and hospitality

324.6 338.2 336.4 333.7 9.1 2.8

Other services

199.9 201.6 202.5 202.7 2.8 1.4

Government

667.7 706.0 688.8 680.0 12.3 1.8

Footnotes
(1) U.S. data are preliminary for two months after they are first published.
(P) Preliminary
 

 

Last Modified Date: Thursday, October 06, 2016