News Release Information

18-59-DAL
Thursday, March 29, 2018

Contacts

Technical information:
Media contact:
  • (972) 850-4800

Dallas-Fort Worth Area Employment — February 2018

Total nonfarm employment in the Dallas-Fort Worth-Arlington Metropolitan Statistical Area stood at 3,639,100 in February 2018, up 96,000 over the year, the U.S. Bureau of Labor Statistics reported today. From February 2017 to February 2018, local nonfarm employment rose 2.7 percent, compared to the national rate of 1.6 percent. (See chart 1 and table 1.) Assistant Commissioner for Regional Operations Stanley W. Suchman noted that among the 12 largest metropolitan areas in the country, Dallas ranked second in both the rate of job growth and the number of jobs added. (See chart 3 and table 2; the Technical Note at the end of this release contains the metropolitan area definitions. All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

The Dallas-Fort Worth-Arlington Metropolitan Statistical Area consists of two metropolitan divisions – separately identifiable employment centers within the larger metropolitan area. The Dallas-Plano-Irving Metropolitan Division, which accounted for 71 percent of the area’s workforce, added 70,400 jobs from February a year ago, an increase of 2.8 percent. The Fort Worth-Arlington Metropolitan Division, which accounted for the remaining 29 percent of the area’s workforce, added 25,600 jobs during the 12-month period, a gain of 2.5 percent.

Industry employment

Employment in the area’s leisure and hospitality supersector rose by 19,000 since February 2017, the largest gain of any local supersector. More than half of the job gain was in the sector’s largest industry, food services and drinking places (+11,200). The supersector’s rate of job growth in the Dallas area, 5.3 percent, was more than double the nationwide advance of 2.1 percent. (See chart 2.)

Professional and business services added 13,700 jobs in the area from February 2017 to February 2018, the second-largest gain among the local supersectors. The Dallas area’s 2.3-percent annual rate of job growth compared to the U.S. increase of 2.4 percent. The Fort Worth-Arlington division added jobs at a faster pace than the Dallas-Plano-Irving division, 4.1 percent and 1.9 percent, respectively.

Trade, transportation, and utilities, the metropolitan area’s largest supersector, added 13,500 jobs from February 2017. The 1.8-percent rate of local job growth was twice the national gain of 0.9 percent. Employment rose in all three sub-sectors: transportation, warehousing, and utilities (+7,300); retail trade (+4,100); and wholesale trade (+2,100). The local retail trade advance occurred despite an annual loss of 3,000 jobs in department stores.

Education and health services added 11,800 jobs in the Dallas area from February 2017. The area’s 2.7-percent rate of job growth in education and health services compared to the U.S. rate of 1.9 percent.

Locally, manufacturing and financial activities added 8,700 jobs each from February 2017 to February 2018. Local rates of job growth in both supersectors were faster-paced than those for the nation. Both metropolitan divisions added jobs in financial activities, but the rate of job growth in Fort Worth-Arlington, at 5.1 percent, was faster-paced than the 2.5-percent gain in Dallas-Plano-Irving.

Three other local sectors each had annual job gains of at least 5,000: government (+7,800), mining, logging, and construction (+7,700), other services (+5,000).

Employment in the 12 largest metropolitan areas

Dallas-Fort Worth-Arlington was 1 of the nation’s 12 largest metropolitan statistical areas in February 2018. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 5 areas exceeding the national increase of 1.6 percent. Phoenix-Mesa-Scottsdale had the fastest rate of job growth, up 3.0 percent, followed by Dallas, up 2.7 percent. Chicago-Naperville-Elgin had the slowest rate of job growth, 0.7 percent, followed by Boston-Cambridge-Nashua and Philadelphia-Camden-Wilmington, at 0.9 percent each. (See chart 3 and table 2.)

New York-Newark-Jersey City added the largest number of jobs since February 2017, 124,200, followed by Dallas (+96,000) and Los Angeles-Long Beach-Anaheim (+93,400). Boston had the smallest employment gain over the year, adding 24,500 jobs, followed by Philadelphia (+25,800). Annual gains in the remaining seven metropolitan areas ranged from 67,100 in Houston-The Woodlands-Sugar Land to 30,600 in Miami-Fort Lauderdale-West Palm Beach.

Over the year, professional and business services added the most jobs in five areas: Boston, Houston, Miami, San Francisco-Oakland-Hayward, and Washington-Arlington-Alexandria. Education and health services gained the most jobs in three areas: New York, Philadelphia, and Phoenix.

The information supersector lost the most jobs over the year in six areas. Dallas was the only metropolitan area to have no annual job losses in any supersector.

Metropolitan area employment data for March 2018 are scheduled to be released on Friday, April 4, 2018, at 10:00 a.m. (ET).


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 that 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 that 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, dated July 15, 2015. A detailed list of the geographic definitions is available at www.bls.gov/lau/lausmsa.htm.

The Dallas-Fort Worth-Arlington Metropolitan Statistical Area includes Collin, Dallas, Denton, Ellis, Hood, Hunt, Johnson, Kaufman, Parker, Rockwall, Somervell, Tarrant, and Wise Counties in Texas.

  • The Dallas-Plano-Irving Metropolitan Division includes Collin, Dallas, Denton, Ellis, Hunt, Kaufman, and Rockwall Counties in Texas.
  • The Fort Worth-Arlington Metropolitan Division includes Hood, Johnson, Parker, Somervell, Tarrant, and Wise Counties in Texas.

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 CES program are also available in the above mentioned news releases and 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 Dallas-Fort Worth-Arlington metropolitan area and its components, not seasonally adjusted (numbers in thousands)
Area and Industry Feb.
2017
Dec.
2017
Jan.
2018
Feb.
2018(p)
Feb. 2017 to
Feb. 2018(p)
Net change Percent change

United States

Total nonfarm

144,423 148,530 145,472 146,696 2,273 1.6

Mining and logging

645 700 693 702 57 8.8

Construction

6,527 6,970 6,692 6,800 273 4.2

Manufacturing

12,315 12,560 12,484 12,537 222 1.8

Trade, transportation, and utilities

27,071 28,337 27,464 27,325 254 0.9

Information

2,810 2,784 2,724 2,742 -68 -2.4

Financial activities

8,344 8,516 8,461 8,488 144 1.7

Professional and business services

19,971 20,770 20,319 20,450 479 2.4

Education and health services

23,142 23,556 23,250 23,592 450 1.9

Leisure and hospitality

15,283 15,862 15,452 15,601 318 2.1

Other services

5,690 5,800 5,751 5,784 94 1.7

Government

22,625 22,675 22,182 22,675 50 0.2

Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area

Total nonfarm

3,543.1 3,666.8 3,616.2 3,639.1 96.0 2.7

Mining, logging, and construction

208.1 211.9 210.3 215.8 7.7 3.7

Manufacturing

267.7 274.6 273.1 276.4 8.7 3.2

Trade, transportation, and utilities

755.4 796.0 774.9 768.9 13.5 1.8

Information

83.4 84.2 83.6 83.5 0.1 0.1

Financial activities

288.3 295.5 295.5 297.0 8.7 3.0

Professional and business services

585.6 602.3 592.7 599.3 13.7 2.3

Education and health services

438.9 450.4 449.0 450.7 11.8 2.7

Leisure and hospitality

361.4 383.1 378.2 380.4 19.0 5.3

Other services

118.9 123.3 122.8 123.9 5.0 4.2

Government

435.4 445.5 436.1 443.2 7.8 1.8

Dallas-Plano-Irving, TX Metropolitan Division

Total nonfarm

2,529.8 2,618.4 2,584.3 2,600.2 70.4 2.8

Mining, logging, and construction

137.2 141.4 141.3 146.9 9.7 7.1

Manufacturing

175.2 179.3 178.4 181.0 5.8 3.3

Trade, transportation, and utilities

506.9 535.3 520.7 515.1 8.2 1.6

Information

72.1 72.9 72.4 72.4 0.3 0.4

Financial activities

230.0 235.2 234.8 235.7 5.7 2.5

Professional and business services

476.9 488.5 482.9 486.1 9.2 1.9

Education and health services

305.5 313.0 312.2 313.0 7.5 2.5

Leisure and hospitality

247.9 262.8 258.7 261.1 13.2 5.3

Other services

80.8 85.2 84.8 86.1 5.3 6.6

Government

297.3 304.8 298.1 302.8 5.5 1.8

Fort Worth-Arlington, TX Metropolitan Division

Total nonfarm

1,013.3 1,048.4 1,031.9 1,038.9 25.6 2.5

Mining, logging, and construction

70.9 70.5 69.0 68.9 -2.0 -2.8

Manufacturing

92.5 95.3 94.7 95.4 2.9 3.1

Trade, transportation, and utilities

248.5 260.7 254.2 253.8 5.3 2.1

Information

11.3 11.3 11.2 11.1 -0.2 -1.8

Financial activities

58.3 60.3 60.7 61.3 3.0 5.1

Professional and business services

108.7 113.8 109.8 113.2 4.5 4.1

Education and health services

133.4 137.4 136.8 137.7 4.3 3.2

Leisure and hospitality

113.5 120.3 119.5 119.3 5.8 5.1

Other services

38.1 38.1 38.0 37.8 -0.3 -0.8

Government

138.1 140.7 138.0 140.4 2.3 1.7

(p) preliminary


Table 2. Employees on nonfarm payrolls by industry supersector, 12 largest metropolitan areas, not seasonally adjusted (numbers in thousands)
Area and Industry Feb.
2017
Dec.
2017
Jan.
2018
Feb.
2018(p)
Feb. 2017 to
Feb. 2018(p)
Net change Percent change

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

2,681.8 2,767.0 2,713.6 2,734.4 52.6 2.0

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

118.3 125.6 120.7 124.1 5.8 4.9

Manufacturing

166.4 169.4 167.8 168.5 2.1 1.3

Trade, transportation, and utilities

592.9 622.9 609.7 609.4 16.5 2.8

Information

98.8 99.5 92.4 91.9 -6.9 -7.0

Financial activities

167.9 170.4 167.1 168.8 0.9 0.5

Professional and business services

491.4 501.2 490.0 494.8 3.4 0.7

Education and health services

336.9 349.2 346.3 349.8 12.9 3.8

Leisure and hospitality

277.9 290.3 284.3 289.1 11.2 4.0

Other services

97.5 100.3 99.4 99.6 2.1 2.2

Government

332.2 336.6 334.3 336.8 4.6 1.4

Boston-Cambridge-Nashua, MA-NH

Total nonfarm

2,681.5 2,767.7 2,696.1 2,706.0 24.5 0.9

Mining, logging, and construction

100.9 114.5 107.8 107.5 6.6 6.5

Manufacturing

185.9 188.7 186.9 187.0 1.1 0.6

Trade, transportation, and utilities

415.2 436.7 420.8 412.6 -2.6 -0.6

Information

79.2 79.0 79.2 79.1 -0.1 -0.1

Financial activities

183.5 184.2 181.5 182.2 -1.3 -0.7

Professional and business services

468.4 487.5 479.1 481.8 13.4 2.9

Education and health services

580.3 589.0 574.1 587.6 7.3 1.3

Leisure and hospitality

252.3 267.4 256.5 253.3 1.0 0.4

Other services

99.3 103.9 101.6 101.2 1.9 1.9

Government

316.5 316.8 308.6 313.7 -2.8 -0.9

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

4,597.3 4,730.9 4,604.8 4,629.3 32.0 0.7

Mining and logging

1.3 1.5 1.5 1.5 0.2 15.4

Construction

152.9 171.4 155.6 156.4 3.5 2.3

Manufacturing

412.3 420.2 415.7 417.7 5.4 1.3

Trade, transportation, and utilities

935.2 980.3 942.3 938.2 3.0 0.3

Information

80.6 78.2 75.9 75.8 -4.8 -6.0

Financial activities

300.0 304.8 305.8 307.0 7.0 2.3

Professional and business services

799.2 827.6 798.4 802.9 3.7 0.5

Education and health services

723.7 727.1 720.7 729.2 5.5 0.8

Leisure and hospitality

453.6 467.7 455.9 451.7 -1.9 -0.4

Other services

192.8 194.2 192.4 193.1 0.3 0.2

Government

545.7 557.9 540.6 555.8 10.1 1.9

Dallas-Fort Worth-Arlington, TX

Total nonfarm

3,543.1 3,666.8 3,616.2 3,639.1 96.0 2.7

Mining, logging, and construction

208.1 211.9 210.3 215.8 7.7 3.7

Manufacturing

267.7 274.6 273.1 276.4 8.7 3.2

Trade, transportation, and utilities

755.4 796.0 774.9 768.9 13.5 1.8

Information

83.4 84.2 83.6 83.5 0.1 0.1

Financial activities

288.3 295.5 295.5 297.0 8.7 3.0

Professional and business services

585.6 602.3 592.7 599.3 13.7 2.3

Education and health services

438.9 450.4 449.0 450.7 11.8 2.7

Leisure and hospitality

361.4 383.1 378.2 380.4 19.0 5.3

Other services

118.9 123.3 122.8 123.9 5.0 4.2

Government

435.4 445.5 436.1 443.2 7.8 1.8

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

2,991.4 3,073.4 3,032.1 3,058.5 67.1 2.2

Mining and logging

77.0 77.9 78.5 78.7 1.7 2.2

Construction

214.2 221.4 219.8 223.5 9.3 4.3

Manufacturing

217.9 221.1 221.4 222.7 4.8 2.2

Trade, transportation, and utilities

609.9 640.2 622.1 622.3 12.4 2.0

Information

32.2 31.9 31.8 31.6 -0.6 -1.9

Financial activities

157.4 160.4 160.4 161.4 4.0 2.5

Professional and business services

471.7 492.8 489.3 497.1 25.4 5.4

Education and health services

382.9 383.9 380.4 385.3 2.4 0.6

Leisure and hospitality

309.1 318.5 312.5 315.1 6.0 1.9

Other services

108.2 109.2 108.9 108.1 -0.1 -0.1

Government

410.9 416.1 407.0 412.7 1.8 0.4

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

5,993.4 6,169.0 6,056.6 6,086.8 93.4 1.6

Mining and logging

2.9 2.9 2.9 2.9 0.0 0.0

Construction

229.4 242.9 238.7 243.4 14.0 6.1

Manufacturing

511.1 507.8 503.4 509.1 -2.0 -0.4

Trade, transportation, and utilities

1,082.6 1,138.9 1,109.0 1,091.7 9.1 0.8

Information

258.7 246.2 231.1 243.1 -15.6 -6.0

Financial activities

337.8 343.9 338.9 339.4 1.6 0.5

Professional and business services

897.9 939.1 916.6 919.6 21.7 2.4

Education and health services

1,001.2 1,031.9 1,025.9 1,032.0 30.8 3.1

Leisure and hospitality

717.9 752.1 740.0 749.5 31.6 4.4

Other services

202.4 203.2 200.5 200.0 -2.4 -1.2

Government

751.5 760.1 749.6 756.1 4.6 0.6

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

2,632.1 2,679.3 2,640.9 2,662.7 30.6 1.2

Mining and logging

0.7 0.7 0.7 0.7 0.0 0.0

Construction

127.1 133.4 132.0 136.1 9.0 7.1

Manufacturing

88.4 92.0 91.4 92.9 4.5 5.1

Trade, transportation, and utilities

596.0 619.0 600.9 600.8 4.8 0.8

Information

52.1 50.5 50.3 50.6 -1.5 -2.9

Financial activities

178.7 181.7 178.0 178.3 -0.4 -0.2

Professional and business services

432.4 443.2 436.2 443.5 11.1 2.6

Education and health services

391.0 395.6 391.1 393.1 2.1 0.5

Leisure and hospitality

327.4 324.9 326.0 329.0 1.6 0.5

Other services

123.5 125.7 123.1 123.8 0.3 0.2

Government

314.8 312.6 311.2 313.9 -0.9 -0.3

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

Total nonfarm

9,499.4 9,838.2 9,541.8 9,623.6 124.2 1.3

Mining, logging, and construction

373.3 398.2 375.3 381.7 8.4 2.3

Manufacturing

362.7 363.6 359.1 360.9 -1.8 -0.5

Trade, transportation, and utilities

1,711.5 1,814.0 1,750.8 1,735.9 24.4 1.4

Information

284.8 288.3 279.6 281.9 -2.9 -1.0

Financial activities

765.8 781.8 772.4 773.4 7.6 1.0

Professional and business services

1,504.3 1,563.5 1,519.0 1,531.3 27.0 1.8

Education and health services

1,916.6 1,979.7 1,932.0 1,972.0 55.4 2.9

Leisure and hospitality

860.3 904.6 856.6 862.2 1.9 0.2

Other services

415.3 426.8 416.4 421.1 5.8 1.4

Government

1,304.8 1,317.7 1,280.6 1,303.2 -1.6 -0.1

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

Total nonfarm

2,867.1 2,950.9 2,875.9 2,892.9 25.8 0.9

Mining, logging, and construction

111.1 113.8 105.9 109.7 -1.4 -1.3

Manufacturing

178.4 181.8 179.5 180.1 1.7 1.0

Trade, transportation, and utilities

515.4 542.1 524.4 520.9 5.5 1.1

Information

46.3 45.2 44.8 44.8 -1.5 -3.2

Financial activities

212.5 215.6 213.9 213.9 1.4 0.7

Professional and business services

454.2 472.1 456.9 457.9 3.7 0.8

Education and health services

641.2 656.5 644.7 657.1 15.9 2.5

Leisure and hospitality

249.4 260.0 251.0 249.8 0.4 0.2

Other services

118.6 119.9 118.4 118.2 -0.4 -0.3

Government

340.0 343.9 336.4 340.5 0.5 0.1

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

2,019.3 2,088.4 2,053.0 2,079.3 60.0 3.0

Mining and logging

3.1 3.1 3.1 3.1 0.0 0.0

Construction

108.1 118.4 116.6 118.0 9.9 9.2

Manufacturing

120.7 128.2 127.3 127.5 6.8 5.6

Trade, transportation, and utilities

389.8 409.2 397.9 398.7 8.9 2.3

Information

35.7 35.6 35.4 35.9 0.2 0.6

Financial activities

183.3 188.8 188.4 189.8 6.5 3.5

Professional and business services

340.6 354.0 344.0 346.7 6.1 1.8

Education and health services

304.7 315.4 314.3 319.4 14.7 4.8

Leisure and hospitality

221.7 225.9 222.6 227.7 6.0 2.7

Other services

65.6 65.7 65.6 65.1 -0.5 -0.8

Government

246.0 244.1 237.8 247.4 1.4 0.6

San Francisco-Oakland-Hayward, CA

Total nonfarm

2,364.5 2,437.7 2,397.9 2,410.1 45.6 1.9

Mining and logging

0.4 0.5 0.5 0.5 0.1 25.0

Construction

112.9 119.5 116.8 118.1 5.2 4.6

Manufacturing

136.4 141.6 141.0 141.1 4.7 3.4

Trade, transportation, and utilities

378.9 399.2 384.8 382.5 3.6 1.0

Information

102.3 108.1 107.4 108.6 6.3 6.2

Financial activities

141.4 143.9 142.7 142.5 1.1 0.8

Professional and business services

472.0 485.9 480.7 485.2 13.2 2.8

Education and health services

348.6 356.4 351.1 355.9 7.3 2.1

Leisure and hospitality

265.1 273.7 267.4 267.5 2.4 0.9

Other services

85.6 84.4 84.5 85.1 -0.5 -0.6

Government

320.9 324.5 321.0 323.1 2.2 0.7

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

Total nonfarm

3,233.3 3,310.2 3,256.2 3,278.1 44.8 1.4

Mining, logging, and construction

154.6 159.5 156.9 158.7 4.1 2.7

Manufacturing

54.4 54.7 54.2 54.2 -0.2 -0.4

Trade, transportation, and utilities

399.3 421.0 405.9 402.1 2.8 0.7

Information

74.4 74.9 74.3 74.5 0.1 0.1

Financial activities

155.4 158.6 157.7 158.1 2.7 1.7

Professional and business services

735.8 748.6 744.5 752.4 16.6 2.3

Education and health services

436.9 449.8 443.9 444.5 7.6 1.7

Leisure and hospitality

312.5 326.0 320.5 322.2 9.7 3.1

Other services

204.3 210.6 205.8 209.0 4.7 2.3

Government

705.7 706.5 692.5 702.4 -3.3 -0.5

(p) preliminary

 

Last Modified Date: Thursday, March 29, 2018