News Release Information

17-1431-ATL
Monday, November 06, 2017

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Atlanta Area Employment – September 2017

Local Rate of Employment Growth Above the National Average

Total nonfarm employment for the Atlanta-Sandy Springs-Roswell, Ga. Metropolitan Statistical Area stood at 2,752,900 in September 2017, up 68,300, or 2.5 percent, over the year, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Janet S. Rankin noted that among the 12 largest metropolitan areas in the country, Atlanta ranked second in the rate of job growth and third in the number of jobs added. (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.)

Industry employment

In the Atlanta metropolitan area, the professional and business services industry had the largest employment gain from September 2016 to September 2017, up 30,500, or 6.2 percent. Nationwide, employment in professional and business services rose 2.6 percent from the previous September. (See chart 2.)

Education and health services employment increased by 8,900 since last September, the second-largest gain in the Atlanta area. The 2.6-percent rate of local job growth for this supersector was greater than the 2.1-percent national gain.

Leisure and hospitality added 7,600 jobs from September 2016 to September 2017. The 2.6-percent rate of local job growth was more than double the national rate of 1.2 percent.

Six of the eight remaining local supersectors had over-the-year job gains ranging from 6,300 to 1,400 in September 2017.

Employment in the 12 largest metropolitan areas

Atlanta-Sandy Springs-Roswell was 1 of the nation’s 12 largest metropolitan statistical areas in September 2017. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 7 areas exceeding the national increase of 1.2 percent. The fastest rate of job growth was in Dallas-Fort Worth-Arlington, 2.7 percent, followed by Atlanta at 2.5 percent. Chicago-Naperville-Elgin had the slowest rate of job growth, up 0.2 percent. (See chart 3 and table 2.)

Dallas added the largest number of jobs over the year, 93,600, followed by New York-Newark-Jersey City (+86,000). Chicago had the smallest employment gain over the year, adding 11,300 jobs. Annual jobs gains in the other nine metropolitan areas ranged from 68,300 to 19,500.

Over the year, education and health services added the most jobs in five areas: Boston-Cambridge-Nashua, Los Angeles-Long Beach-Anaheim, Miami-Fort Lauderdale-West Palm Beach, New York, and San Francisco-Oakland-Hayward. Professional and business services gained the most jobs in four areas: Atlanta, Dallas, Philadelphia-Camden-Wilmington, and Washington-Arlington-Alexandria.

Trade, transportation, and utilities had the largest job losses over the year in Chicago and New York. Manufacturing lost the most jobs in Atlanta and Los Angeles.

Metropolitan area employment data for October 2017 are scheduled to be released on Friday, November 17, 2017.


Technical Note

This release presents nonfarm payroll employment estimates from the Current Employment Statistics (CES) program. The CES survey is a Federal-State cooperative endeavor between State employment security agencies and the Bureau of Labor Statistics.

Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period which includes the 12th of the month. Persons are counted at their place of work rather than at their place of residence; those appearing on more than one payroll are counted on each payroll. Industries are classified on the basis of their principal activity in accordance with the 2012 version of the North American Industry Classification System.

Method of estimation. CES State and Area employment data are produced using several estimation procedures. Where possible these data are produced using a "weighted link relative" estimation technique in which a ratio of current-month weighted employment to that of the previous-month weighted employment is computed from a sample of establishments reporting for both months. The estimates of employment for the current month are then obtained by multiplying these ratios by the previous month's employment estimates. The weighted link relative technique is utilized for data series where the sample size meets certain statistical criteria.

For some employment series, the sample of establishments is very small or highly variable. In these cases, a model-based approach is used in estimation. These models use the direct sample estimates (described above), combined with forecasts of historical (benchmarked) data to decrease volatility in estimation. Two different models (Fay-Herriot Model and Small Domain Model) are used depending on the industry level being estimated. For more detailed information about each model, refer to the BLS Handbook of Methods.

Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports which are submitted by employers who are covered under state unemployment insurance (UI) laws. The benchmark information is used to adjust the monthly estimates between the new benchmark and the preceding one and also to establish the level of employment for the new benchmark month. Thus, the benchmarking process establishes the level of employment, and the sample is used to measure the month-to-month changes in the level for the subsequent months.

Reliability of the estimates. The estimates presented in this release are based on sample 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. Measures of sampling error for the total private employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/sae/790stderr.htm. Measures of sampling error for more detailed series at the area and division level are available upon request. Measures of sampling error for states down to the supersector level are available on the BLS website at www.bls.gov/sae/790stderr.htm. Measures of nonsampling error are not available for the areas contained in this release. Information on recent benchmark revisions is available online at www.bls.gov/sae/benchmark2017.pdf

Area definitions. The substate area data published in this release reflect the delineations issued by the U.S. Office of Management and Budget on July 15, 2015. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm

The Atlanta-Sandy Springs-Roswell, Ga. Metropolitan Statistical Area includes the counties of Barrow, Bartow, Butts, Carroll, Cherokee, Clayton, Cobb, Coweta, Dawson, DeKalb, Douglas, Fayette, Forsyth, Fulton, Gwinnett, Haralson, Heard, Henry, Jasper, Lamar, Meriwether, Morgan, Newton, Paulding, Pickens, Pike, Rockdale, Spalding, and Walton in Georgia.

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 from the BLS website 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, United States and the Atlanta metropolitan area, not seasonally adjusted (numbers in thousands), September 2017
Area and Industry
 
Sept
2016
July
2017
Aug
2017
Sept
2017(p)
Sept
2016 to Sept 2017(p)
Net change Percent change

United States

 

Total nonfarm

145,084 146,288 146,540 146,880 1,796 1.2

Mining and logging

668 723 729 729 61 9.1

Construction

6,943 7,143 7,171 7,116 173 2.5

Manufacturing

12,372 12,486 12,544 12,490 118 1.0

Trade, transportation, and utilities

27,186 27,372 27,346 27,277 91 0.3

Information

2,773 2,735 2,729 2,695 -78 -2.8

Financial activities

8,328 8,538 8,533 8,478 150 1.8

Professional and business services

20,351 20,873 20,933 20,879 528 2.6

Education and health services

22,665 22,802 22,857 23,142 477 2.1

Leisure and hospitality

15,866 16,735 16,653 16,049 183 1.2

Other services

5,695 5,833 5,806 5,749 54 0.9

Government

22,237 21,048 21,239 22,276 39 0.2

Atlanta-Sandy Springs-Roswell, GA Metropolitan Statistical Area

 

Total nonfarm

2,684.6 2,746.2 2,757.9 2,752.9 68.3 2.5

Mining and logging

1.8 1.8 1.8 1.8 0.0 0.0

Construction

119.2 121.7 121.0 120.6 1.4 1.2

Manufacturing

162.5 162.3 162.7 161.4 -1.1 -0.7

Trade, transportation, and utilities

589.6 597.4 598.4 595.9 6.3 1.1

Information

95.2 99.2 99.3 99.2 4.0 4.2

Financial activities

167.9 173.8 173.3 172.9 5.0 3.0

Professional and business services

494.7 520.4 525.8 525.2 30.5 6.2

Education and health services

336.7 340.5 343.7 345.6 8.9 2.6

Leisure and hospitality

287.9 305.8 301.4 295.5 7.6 2.6

Other services

98.1 102.5 101.2 100.0 1.9 1.9

Government

331.0 320.8 329.3 334.8 3.8 1.1

Footnotes
(p) Preliminary
 

Note: None of the statistics herein are seasonally adjusted.  


Table 2. Employees on nonfarm payrolls by industry supersector, 12 largest metropolitan areas, not seasonally adjusted (numbers in thousands)
Area and Industry
 
Sept
2016
July
2017
Aug
2017
Sept
2017(p)
Sept
2016 to Sept 2017(p)
Net change Percent change

Atlanta-Sandy Springs-Roswell, GA

 

Total nonfarm

2,684.6 2,746.2 2,757.9 2,752.9 68.3 2.5

Mining and logging

1.8 1.8 1.8 1.8 0.0 0.0

Construction

119.2 121.7 121.0 120.6 1.4 1.2

Manufacturing

162.5 162.3 162.7 161.4 -1.1 -0.7

Trade, transportation, and utilities

589.6 597.4 598.4 595.9 6.3 1.1

Information

95.2 99.2 99.3 99.2 4.0 4.2

Financial activities

167.9 173.8 173.3 172.9 5.0 3.0

Professional and business services

494.7 520.4 525.8 525.2 30.5 6.2

Education and health services

336.7 340.5 343.7 345.6 8.9 2.6

Leisure and hospitality

287.9 305.8 301.4 295.5 7.6 2.6

Other services

98.1 102.5 101.2 100.0 1.9 1.9

Government

331.0 320.8 329.3 334.8 3.8 1.1

Boston-Cambridge-Nashua, MA-NH

 

Total nonfarm

2,714.9 2,782.0 2,776.9 2,774.6 59.7 2.2

Mining, logging, and construction

112.7 116.2 117.0 115.8 3.1 2.8

Manufacturing

186.7 188.3 188.1 186.7 0.0 0.0

Trade, transportation, and utilities

421.4 428.7 426.7 425.0 3.6 0.9

Information

78.5 78.8 79.1 77.9 -0.6 -0.8

Financial activities

186.5 195.0 193.8 191.4 4.9 2.6

Professional and business services

471.8 488.9 491.0 485.3 13.5 2.9

Education and health services

570.4 589.4 586.0 591.2 20.8 3.6

Leisure and hospitality

271.4 291.1 291.3 276.6 5.2 1.9

Other services

100.8 109.5 111.5 107.1 6.3 6.3

Government

314.7 296.1 292.4 317.6 2.9 0.9

Chicago-Naperville-Elgin, IL-IN-WI

 

Total nonfarm

4,687.2 4,718.7 4,711.5 4,698.5 11.3 0.2

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

181.7 181.9 183.8 182.5 0.8 0.4

Manufacturing

412.9 416.4 412.3 412.3 -0.6 -0.1

Trade, transportation, and utilities

941.6 945.2 944.0 934.7 -6.9 -0.7

Information

80.5 84.7 83.3 80.9 0.4 0.5

Financial activities

299.1 312.0 311.5 309.6 10.5 3.5

Professional and business services

832.0 839.2 840.9 838.6 6.6 0.8

Education and health services

713.1 709.2 712.0 718.8 5.7 0.8

Leisure and hospitality

477.3 493.4 491.9 473.0 -4.3 -0.9

Other services

193.3 198.5 197.5 196.1 2.8 1.4

Government

554.1 536.6 532.7 550.4 -3.7 -0.7

Dallas-Fort Worth-Arlington, TX

 

Total nonfarm

3,530.4 3,608.9 3,608.4 3,624.0 93.6 2.7

Mining, logging, and construction

207.2 209.1 210.3 212.6 5.4 2.6

Manufacturing

264.7 270.7 272.7 273.0 8.3 3.1

Trade, transportation, and utilities

752.9 764.9 767.4 767.2 14.3 1.9

Information

82.5 82.3 81.1 81.5 -1.0 -1.2

Financial activities

284.4 294.6 293.2 296.2 11.8 4.1

Professional and business services

588.2 609.7 609.9 617.4 29.2 5.0

Education and health services

434.9 439.9 440.5 441.2 6.3 1.4

Leisure and hospitality

370.2 395.2 390.1 378.9 8.7 2.4

Other services

122.1 128.3 127.6 127.3 5.2 4.3

Government

423.3 414.2 415.6 428.7 5.4 1.3

Houston-The Woodlands-Sugar Land, TX

 

Total nonfarm

2,994.1 3,041.7 3,029.6 3,013.6 19.5 0.7

Mining and logging

85.6 87.4 86.8 87.1 1.5 1.8

Construction

217.4 210.7 209.5 206.4 -11.0 -5.1

Manufacturing

219.1 235.2 232.7 232.4 13.3 6.1

Trade, transportation, and utilities

604.9 603.7 603.1 598.3 -6.6 -1.1

Information

32.3 32.4 32.0 31.5 -0.8 -2.5

Financial activities

155.8 157.8 158.4 159.0 3.2 2.1

Professional and business services

469.8 486.7 484.7 478.6 8.8 1.9

Education and health services

383.9 392.2 395.2 392.9 9.0 2.3

Leisure and hospitality

313.4 329.2 327.1 308.6 -4.8 -1.5

Other services

109.3 112.2 110.7 109.8 0.5 0.5

Government

402.6 394.2 389.4 409.0 6.4 1.6

Los Angeles-Long Beach-Anaheim, CA

 

Total nonfarm

5,983.6 5,971.0 5,982.7 6,040.1 56.5 0.9

Mining and logging

4.1 4.0 4.0 3.9 -0.2 -4.9

Construction

233.9 249.3 250.0 248.1 14.2 6.1

Manufacturing

515.7 509.8 508.3 505.8 -9.9 -1.9

Trade, transportation, and utilities

1,088.8 1,081.7 1,084.6 1,089.5 0.7 0.1

Information

253.4 252.5 256.0 256.1 2.7 1.1

Financial activities

338.0 339.7 340.8 339.1 1.1 0.3

Professional and business services

912.5 909.6 915.4 918.0 5.5 0.6

Education and health services

972.8 978.4 979.4 1,003.8 31.0 3.2

Leisure and hospitality

730.7 745.8 740.6 740.6 9.9 1.4

Other services

205.0 211.0 212.0 215.4 10.4 5.1

Government

728.7 689.2 691.6 719.8 -8.9 -1.2

Miami-Fort Lauderdale-West Palm Beach, FL

 

Total nonfarm

2,585.7 2,619.3 2,636.3 2,605.2 19.5 0.8

Mining and logging

0.7 0.7 0.7 0.7 0.0 0.0

Construction

125.2 129.8 132.2 128.8 3.6 2.9

Manufacturing

87.9 87.0 87.9 88.1 0.2 0.2

Trade, transportation, and utilities

587.9 598.4 597.8 592.8 4.9 0.8

Information

48.7 49.0 49.1 48.8 0.1 0.2

Financial activities

176.5 177.0 175.6 175.7 -0.8 -0.5

Professional and business services

427.4 432.6 431.6 424.2 -3.2 -0.7

Education and health services

382.3 394.9 392.6 392.2 9.9 2.6

Leisure and hospitality

314.4 329.2 327.6 312.1 -2.3 -0.7

Other services

124.2 130.8 131.1 126.3 2.1 1.7

Government

310.5 289.9 310.1 315.5 5.0 1.6

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

 

Total nonfarm

9,544.2 9,726.3 9,666.3 9,630.2 86.0 0.9

Mining, logging, and construction

397.4 401.7 402.8 400.3 2.9 0.7

Manufacturing

367.0 365.4 367.0 367.4 0.4 0.1

Trade, transportation, and utilities

1,723.1 1,717.2 1,710.9 1,713.2 -9.9 -0.6

Information

291.7 285.7 286.4 283.2 -8.5 -2.9

Financial activities

771.2 792.7 790.5 778.1 6.9 0.9

Professional and business services

1,533.0 1,573.3 1,567.0 1,555.3 22.3 1.5

Education and health services

1,855.4 1,887.2 1,876.1 1,898.1 42.7 2.3

Leisure and hospitality

912.3 987.3 979.9 930.5 18.2 2.0

Other services

415.7 429.7 426.1 422.1 6.4 1.5

Government

1,277.4 1,286.1 1,259.6 1,282.0 4.6 0.4

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

 

Total nonfarm

2,886.5 2,916.7 2,907.4 2,927.2 40.7 1.4

Mining, logging, and construction

117.4 121.2 120.4 119.7 2.3 2.0

Manufacturing

178.8 179.3 179.1 178.5 -0.3 -0.2

Trade, transportation, and utilities

522.3 525.2 523.7 523.3 1.0 0.2

Information

46.2 46.3 46.2 45.7 -0.5 -1.1

Financial activities

212.5 217.1 217.7 217.3 4.8 2.3

Professional and business services

462.4 479.8 479.7 475.4 13.0 2.8

Education and health services

627.8 629.3 624.1 636.1 8.3 1.3

Leisure and hospitality

264.8 283.7 283.5 277.0 12.2 4.6

Other services

118.7 120.5 119.5 117.8 -0.9 -0.8

Government

335.6 314.3 313.5 336.4 0.8 0.2

Phoenix-Mesa-Scottsdale, AZ

 

Total nonfarm

1,988.2 1,967.7 1,999.7 2,022.6 34.4 1.7

Mining and logging

3.3 3.2 3.2 3.2 -0.1 -3.0

Construction

107.0 110.5 109.8 111.4 4.4 4.1

Manufacturing

120.2 123.2 124.3 123.8 3.6 3.0

Trade, transportation, and utilities

385.5 387.2 386.6 387.3 1.8 0.5

Information

35.5 34.3 33.7 33.3 -2.2 -6.2

Financial activities

177.2 180.5 181.2 181.4 4.2 2.4

Professional and business services

341.8 339.9 343.1 344.8 3.0 0.9

Education and health services

295.9 295.5 300.5 304.9 9.0 3.0

Leisure and hospitality

213.4 223.0 223.3 224.2 10.8 5.1

Other services

64.1 61.6 61.2 61.8 -2.3 -3.6

Government

244.3 208.8 232.8 246.5 2.2 0.9

San Francisco-Oakland-Hayward, CA

 

Total nonfarm

2,356.6 2,388.1 2,391.1 2,390.1 33.5 1.4

Mining and logging

1.0 1.0 1.0 1.0 0.0 0.0

Construction

116.5 122.8 123.1 123.3 6.8 5.8

Manufacturing

133.6 132.8 133.9 133.5 -0.1 -0.1

Trade, transportation, and utilities

376.4 378.8 380.3 378.3 1.9 0.5

Information

101.5 103.2 102.9 102.6 1.1 1.1

Financial activities

142.1 147.7 147.2 145.5 3.4 2.4

Professional and business services

475.2 474.0 473.0 470.2 -5.0 -1.1

Education and health services

338.5 345.1 345.0 349.4 10.9 3.2

Leisure and hospitality

270.0 281.1 282.1 278.7 8.7 3.2

Other services

85.9 88.9 88.9 89.5 3.6 4.2

Government

315.9 312.7 313.7 318.1 2.2 0.7

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

 

Total nonfarm

3,241.5 3,323.4 3,294.4 3,286.0 44.5 1.4

Mining, logging, and construction

159.0 163.9 166.2 163.2 4.2 2.6

Manufacturing

53.9 54.4 54.6 54.1 0.2 0.4

Trade, transportation, and utilities

403.3 413.2 411.8 409.1 5.8 1.4

Information

74.1 71.4 71.4 71.3 -2.8 -3.8

Financial activities

158.3 159.6 159.1 158.3 0.0 0.0

Professional and business services

739.1 764.8 762.8 755.7 16.6 2.2

Education and health services

438.0 445.9 444.7 444.1 6.1 1.4

Leisure and hospitality

323.7 349.1 346.1 333.2 9.5 2.9

Other services

195.2 200.4 199.2 197.8 2.6 1.3

Government

696.9 700.7 678.5 699.2 2.3 0.3

Footnotes
(p) Preliminary
 

 

Last Modified Date: Monday, November 06, 2017