A to Z Index  |  FAQs  |  About BLS  |  Contact Us    

News Release Information

19-43-DAL
Monday, January 14, 2019

Contacts

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

Dallas-Fort Worth Area Employment — November 2018

Total nonfarm employment in the Dallas-Fort Worth-Arlington Metropolitan Statistical Area stood at 3,765,700 in November 2018, up 94,700 over the year, the U.S. Bureau of Labor Statistics reported today. From November 2017 to November 2018, local nonfarm employment rose 2.6 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 third in both the number of jobs added over the year and the annual rate of job growth. (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 72 percent of the area’s workforce, added 73,400 jobs from November a year ago, an increase of 2.8 percent. The Fort Worth-Arlington Metropolitan Division, which accounted for the remaining 28 percent of the area’s workforce, added 21,300 jobs during the 12-month period, a gain of 2.0 percent.

Industry employment

Professional and business services added 19,900 jobs in the area from November 2017 to November 2018, the largest gain of any local supersector. The Dallas-Fort Worth-Arlington area’s 3.3-percent annual rate of job growth compared to the U.S. increase of 2.7 percent. (See chart 2.) Nearly all of the area’s sector growth occurred in the Dallas-Plano-Irving metropolitan division which added 19,200 jobs.

Trade, transportation, and utilities, the metropolitan area’s largest supersector, added 18,900 jobs from November 2017. The 2.4-percent rate of local job growth compared to the national gain of 1.1 percent. Locally, employment rose in all three sub-sectors: transportation, warehousing, and utilities (+9,300); wholesale trade (+8,200); and retail trade (+1,400). Fort Worth-Arlington added nearly as many supersector jobs as Dallas-Plano Irving, up 8,600 and 10,300, respectively.

Dallas-Fort Worth-Arlington added 18,300 jobs in mining, logging, and construction from November 2017 to November 2018. The 8.5-percent annual rate of job gain for mining, logging, and construction marked the fastest rate of local growth since December 2014.

Seven other local sectors had annual job gains ranging from 7,900 to 2,200 from November 2017 to November 2018: leisure and hospitality (+7,900), financial activities (+7,800), manufacturing (+6,500), education and health services (+5,900), government (+4,700), other services (+2,600), and information (+2,200).

Employment in the 12 largest metropolitan areas

Dallas-Fort Worth-Arlington was 1 of the nation’s 12 largest metropolitan statistical areas in November 2018. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 8 areas matching or exceeding the national average of 1.6 percent. Phoenix-Mesa-Scottsdale had the fastest rate of job growth, up 4.2 percent, followed by Houston-The Woodlands-Sugar Land at 3.7 percent. Chicago-Naperville-Elgin had the slowest rate of job growth, 1.0 percent, followed by Los Angeles-Long Beach-Anaheim (1.1 percent). (See chart 3 and table 2.)

Houston added the largest number of jobs over the year, 114,400, followed by New York-Newark-Jersey City, with 113,000 jobs. Philadelphia-Camden-Wilmington had the smallest employment gain over the year, adding 43,200 jobs. Annual gains in the remaining nine metropolitan areas ranged from 94,700 in Dallas to 45,700 in Chicago.

Over the year, professional and business services added the most jobs in seven areas: Atlanta-Sandy Springs-Roswell, Boston-Cambridge-Nashua, Dallas, Houston, Phoenix, San Francisco-Oakland-Hayward, and Washington-Arlington-Alexandria. Information lost the most jobs in five areas: Atlanta, Chicago, Houston, New York, and Philadelphia.

Dallas, Phoenix, and Washington were the only areas to experience annual gains in all reporting supersectors from November a year ago.

Metropolitan area employment data for December 2018 are scheduled to be released on Friday, January 18, 2019, at 10:00 a.m. (EST).


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 IndustryNov.
2017
Sep.
2018
Oct.
2018
Nov.
2018(p)
Nov. 2017 to
Nov. 2018(p)
Net changePercent change

United States

Total nonfarm

148,783149,741150,760151,2442,4611.7

Mining and logging

703759764758557.8

Construction

7,1177,4767,4967,3892723.8

Manufacturing

12,52212,79212,79112,8002782.2

Trade, transportation, and utilities

28,17127,72027,89728,5063351.2

Information

2,7992,7522,7732,782-17-0.6

Financial activities

8,4998,6078,6268,6121131.3

Professional and business services

20,86421,18421,38121,4315672.7

Education and health services

23,60923,68323,99724,0664571.9

Leisure and hospitality

15,87716,53116,38416,1532761.7

Other services

5,8095,8655,8885,874651.1

Government

22,81322,37222,76322,873600.3

Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area

Total nonfarm

3,671.03,720.83,750.93,765.794.72.6

Mining, logging, and construction

215.6229.9231.1233.918.38.5

Manufacturing

275.0279.5281.1281.56.52.4

Trade, transportation, and utilities

792.2786.7791.6811.118.92.4

Information

83.283.684.285.42.22.6

Financial activities

296.4302.8304.1304.27.82.6

Professional and business services

604.6623.5629.6624.519.93.3

Education and health services

452.6457.3459.9458.55.91.3

Leisure and hospitality

382.6392.4395.2390.57.92.1

Other services

123.8126.8127.3126.42.62.1

Government

445.0438.3446.8449.74.71.1

Dallas-Plano-Irving, TX Metropolitan Division

Total nonfarm

2,624.92,662.22,685.82,698.373.42.8

Mining, logging, and construction

144.2155.9157.5159.014.810.3

Manufacturing

179.2183.2183.9183.74.52.5

Trade, transportation, and utilities

532.9525.9530.0543.210.31.9

Information

72.072.873.474.52.53.5

Financial activities

236.2239.8240.4240.84.61.9

Professional and business services

491.3506.8513.6510.519.23.9

Education and health services

315.2319.0319.4319.24.01.3

Leisure and hospitality

263.7268.4271.3269.86.12.3

Other services

85.587.188.087.21.72.0

Government

304.7303.3308.3310.45.71.9

Fort Worth-Arlington, TX Metropolitan Division

Total nonfarm

1,046.11,058.61,065.11,067.421.32.0

Mining, logging, and construction

71.474.073.674.93.54.9

Manufacturing

95.896.397.297.82.02.1

Trade, transportation, and utilities

259.3260.8261.6267.98.63.3

Information

11.210.810.810.9-0.3-2.7

Financial activities

60.263.063.763.43.25.3

Professional and business services

113.3116.7116.0114.00.70.6

Education and health services

137.4138.3140.5139.31.91.4

Leisure and hospitality

118.9124.0123.9120.71.81.5

Other services

38.339.739.339.20.92.3

Government

140.3135.0138.5139.3-1.0-0.7

(p) preliminary


Table 2. Employees on nonfarm payrolls by industry supersector, 12 largest metropolitan areas, not seasonally adjusted (numbers in thousands)
Area and IndustryNov.
2017
Sep.
2018
Oct.
2018
Nov.
2018(p)
Nov. 2017 to
Nov. 2018(p)
Net changePercent change

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

2,770.32,796.52,814.12,829.759.42.1

Mining and logging

1.61.61.61.60.00.0

Construction

126.0133.5135.1135.19.17.2

Manufacturing

168.6169.3169.6169.10.50.3

Trade, transportation, and utilities

619.2620.1621.5635.716.52.7

Information

100.297.697.697.1-3.1-3.1

Financial activities

170.7169.0169.7169.0-1.7-1.0

Professional and business services

504.4508.5519.4522.017.63.5

Education and health services

348.4358.3359.5360.311.93.4

Leisure and hospitality

290.7302.9303.8302.812.14.2

Other services

99.098.497.997.0-2.0-2.0

Government

341.5337.3338.4340.0-1.5-0.4

Boston-Cambridge-Nashua, MA-NH

Total nonfarm

2,770.42,800.62,821.62,823.953.51.9

Mining, logging, and construction

117.7124.2125.2125.57.86.6

Manufacturing

187.6190.5191.5189.92.31.2

Trade, transportation, and utilities

431.7424.6428.8435.23.50.8

Information

79.779.780.481.11.41.8

Financial activities

183.9184.1183.6182.4-1.5-0.8

Professional and business services

489.6511.9515.8515.926.35.4

Education and health services

589.9588.1597.8601.611.72.0

Leisure and hospitality

267.5279.9276.8266.6-0.9-0.3

Other services

104.9104.8105.2105.30.40.4

Government

317.9312.8316.5320.42.50.8

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

4,758.64,751.54,793.24,804.345.71.0

Mining and logging

1.61.61.61.60.00.0

Construction

179.4191.1193.3187.07.64.2

Manufacturing

419.1423.7425.8426.77.61.8

Trade, transportation, and utilities

973.9944.7957.1977.63.70.4

Information

77.874.275.775.2-2.6-3.3

Financial activities

304.3309.6310.3311.06.72.2

Professional and business services

840.2838.0843.5843.63.40.4

Education and health services

734.6726.2738.5743.58.91.2

Leisure and hospitality

474.2490.2486.8476.52.30.5

Other services

193.2191.7191.8192.0-1.2-0.6

Government

560.3560.5568.8569.69.31.7

Dallas-Fort Worth-Arlington, TX

Total nonfarm

3,671.03,720.83,750.93,765.794.72.6

Mining, logging, and construction

215.6229.9231.1233.918.38.5

Manufacturing

275.0279.5281.1281.56.52.4

Trade, transportation, and utilities

792.2786.7791.6811.118.92.4

Information

83.283.684.285.42.22.6

Financial activities

296.4302.8304.1304.27.82.6

Professional and business services

604.6623.5629.6624.519.93.3

Education and health services

452.6457.3459.9458.55.91.3

Leisure and hospitality

382.6392.4395.2390.57.92.1

Other services

123.8126.8127.3126.42.62.1

Government

445.0438.3446.8449.74.71.1

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

3,063.43,135.23,161.23,177.8114.43.7

Mining and logging

77.580.481.281.64.15.3

Construction

221.6243.7245.7245.624.010.8

Manufacturing

220.1232.6232.3234.114.06.4

Trade, transportation, and utilities

633.7629.8637.0647.213.52.1

Information

31.430.830.931.0-0.4-1.3

Financial activities

160.3164.6165.7164.94.62.9

Professional and business services

491.9517.0519.8523.631.76.4

Education and health services

384.1394.1395.2396.512.43.2

Leisure and hospitality

319.5324.1325.1321.41.90.6

Other services

108.0112.5114.5114.66.66.1

Government

415.3405.6413.8417.32.00.5

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

6,152.56,135.36,190.36,220.668.11.1

Mining and logging

2.93.03.02.90.00.0

Construction

243.8248.0249.9248.44.61.9

Manufacturing

506.8504.7501.7503.7-3.1-0.6

Trade, transportation, and utilities

1,131.01,097.21,104.21,128.2-2.8-0.2

Information

247.3244.4251.3248.20.90.4

Financial activities

341.2341.0340.7341.1-0.10.0

Professional and business services

933.5946.3957.4959.225.72.8

Education and health services

1,030.01,036.61,045.71,048.218.21.8

Leisure and hospitality

750.4780.7783.5780.530.14.0

Other services

204.3203.3205.3207.02.71.3

Government

761.3730.1747.6753.2-8.1-1.1

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

2,666.52,668.62,697.82,727.761.22.3

Mining and logging

0.70.80.80.80.114.3

Construction

133.0145.6146.9147.214.210.7

Manufacturing

90.896.197.396.96.16.7

Trade, transportation, and utilities

614.1600.3605.8618.94.80.8

Information

50.650.251.052.01.42.8

Financial activities

179.5181.1182.8183.54.02.2

Professional and business services

441.4437.9445.4448.06.61.5

Education and health services

393.4398.0403.4403.510.12.6

Leisure and hospitality

322.4321.7325.2335.012.63.9

Other services

124.4126.6127.4129.14.73.8

Government

316.2310.3311.8312.8-3.4-1.1

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

Total nonfarm

9,825.79,782.29,885.59,938.7113.01.2

Mining, logging, and construction

405.7415.6415.6415.59.82.4

Manufacturing

363.8364.9365.6366.52.70.7

Trade, transportation, and utilities

1,796.21,746.81,765.11,802.26.00.3

Information

290.2285.1285.9286.0-4.2-1.4

Financial activities

779.3779.7779.6777.3-2.0-0.3

Professional and business services

1,564.61,571.61,580.91,585.420.81.3

Education and health services

1,974.91,965.72,016.92,034.259.33.0

Leisure and hospitality

904.6953.1933.5919.314.71.6

Other services

425.3424.7432.3432.47.11.7

Government

1,321.11,275.01,310.11,319.9-1.2-0.1

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

Total nonfarm

2,955.72,968.22,992.02,998.943.21.5

Mining, logging, and construction

116.8122.2122.8122.96.15.2

Manufacturing

180.5181.6181.7181.51.00.6

Trade, transportation, and utilities

537.2525.7530.0540.33.10.6

Information

45.044.144.143.7-1.3-2.9

Financial activities

215.0218.4218.3219.04.01.9

Professional and business services

475.3483.1488.5486.411.12.3

Education and health services

659.4662.3672.1673.313.92.1

Leisure and hospitality

262.4270.7267.3261.9-0.5-0.2

Other services

119.2120.0120.7120.61.41.2

Government

344.9340.1346.5349.34.41.3

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

2,086.32,123.82,145.92,173.186.84.2

Mining and logging

3.23.23.23.30.13.1

Construction

117.8131.0133.6135.317.514.9

Manufacturing

125.7131.8132.6134.28.56.8

Trade, transportation, and utilities

409.0400.7402.4416.37.31.8

Information

35.437.837.939.74.312.1

Financial activities

190.3191.2192.3190.90.60.3

Professional and business services

353.1361.8367.9372.819.75.6

Education and health services

314.9321.5325.8327.812.94.1

Leisure and hospitality

224.0229.0233.2235.011.04.9

Other services

65.465.065.866.20.81.2

Government

247.5250.8251.2251.64.11.7

San Francisco-Oakland-Hayward, CA

Total nonfarm

2,435.72,448.92,461.32,482.446.71.9

Mining and logging

0.50.50.50.50.00.0

Construction

120.8124.7124.8125.34.53.7

Manufacturing

142.4143.6142.5141.9-0.5-0.4

Trade, transportation, and utilities

394.5387.3388.0400.35.81.5

Information

108.2111.9111.9111.63.43.1

Financial activities

142.5143.6144.0144.11.61.1

Professional and business services

487.4496.7502.8505.117.73.6

Education and health services

356.5356.1359.5361.85.31.5

Leisure and hospitality

271.4278.7275.5277.56.12.2

Other services

85.685.085.084.7-0.9-1.1

Government

325.9320.8326.8329.63.71.1

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

Total nonfarm

3,306.23,339.63,349.03,360.354.11.6

Mining, logging, and construction

159.6169.2168.5168.99.35.8

Manufacturing

55.155.956.056.21.12.0

Trade, transportation, and utilities

414.6413.8414.5421.97.31.8

Information

73.473.774.474.10.71.0

Financial activities

157.3161.6160.4159.72.41.5

Professional and business services

751.4768.3768.3767.215.82.1

Education and health services

451.7446.1449.6455.23.50.8

Leisure and hospitality

325.9339.5338.5334.78.82.7

Other services

209.0209.5209.9210.01.00.5

Government

708.2702.0708.9712.44.20.6

(p) preliminary

 

Last Modified Date: Monday, January 14, 2019