News Release Information

18-1758-DAL
Friday, November 23, 2018

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Houston Area Employment — October 2018

Total nonfarm employment in the Houston-The Woodlands-Sugar Land Metropolitan Statistical Area stood at 3,158,800 in October 2018, up 117,800 or 3.9 percent, from one year earlier, 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 Stanley W. Suchman noted that among the 12 largest metropolitan areas in the country, Houston ranked first in both the number of jobs added over the year and the annual rate of job growth. (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 Houston metropolitan area, professional and business services added the largest number of jobs from October 2017 to October 2018, up 30,600. Job gains were widespread within the sector, but most notable in the employment services industry which added 11,200 jobs, a 12.7-percent increase over the year. Houston’s professional and business services employment rose 6.3 percent since October 2017, compared to the national increase of 2.6 percent. (See table 1 and chart 2.)

Construction added 25,600 jobs locally from October a year ago, the second-largest job gain among the supersectors. Job gains occurred in each of the three reporting industries, with the largest gain in construction of buildings, up 15,900 or 26.9 percent. Area employment in the construction supersector climbed 11.6 percent compared to the 4.4-percent gain for the nation.

Manufacturing in Houston added 16,100 jobs from October 2017 to October 2018. Local gains occurred in both the durable and non-durable goods manufacturing industries, but durable goods manufacturing produced the bulk of the increase (+13,700). The 7.4-percent increase in manufacturing employment in Houston compared to 2.3 percent nationally. This marked the 12th consecutive month of annual job growth in the local area and the fastest annual rate of gain since July 2012.

Trade, transportation, and utilities, Houston’s largest employer, added 16,000 jobs from October 2017 to October 2018. All three sub-sectors added jobs: retail trade (+5,600); transportation, warehousing, and utilities (+5,600); and wholesale trade (+4,800). Over the year, local employment in the trade, transportation, and utilities sector increased 2.6 percent, more than double the 1.1-percent nationwide increase.

Two other local sectors added at least 6,100 jobs over the year. Houston’s education and health services employment rose 8,800 from October a year ago. This gain represented a 2.3-percent increase locally, compared to the national advance of 2.1 percent. The other services sector in Houston added 6,100 jobs from October 2017; local employment rose 5.6 percent compared to 1.3 percent nationally.

Three additional local sectors had annual job gains of at least 3,700: financial activities (+4,800), mining and logging (+4,500), and leisure and hospitality (+3,700). Government had the smallest employment gain in the Houston area, up 1,800 jobs, or 0.4 percent from October a year ago.

Employment in the 12 largest metropolitan areas

Houston-The Woodlands-Sugar Land was 1 of the nation’s 12 largest metropolitan statistical areas in October 2018. 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 1.7 percent. Houston (+3.9 percent), Phoenix-Mesa-Scottsdale (+3.7 percent), and Dallas-Fort Worth-Arlington (+3.0 percent) had the fastest rates of job growth. Chicago-Naperville-Elgin (+0.9 percent), New York-Newark-Jersey City (+1.1 percent), and Los Angeles-Long Beach-Anaheim (+1.2 percent) had the slowest rates of job growth. (See chart 3 and table 2.)

Houston added the largest number of jobs over the year, 117,800, followed by Dallas (+109,000) and New York (+108,500). Chicago had the smallest employment gain over the year, 41,300, followed by San Francisco-Oakland-Hayward (+41,700) and Philadelphia-Camden-Wilmington (+43,600). Annual job gains in the remaining six metropolitan areas ranged from 76,700 in Phoenix to 53,100 in Boston-Cambridge-Nashua.

Over the year, professional and business services added the most jobs in six areas: Atlanta-Sandy Springs-Roswell, Boston, Dallas, Houston, San Francisco, and Washington-Arlington-Alexandria. Construction gained the most jobs in three areas: Chicago, Miami-Fort Lauderdale-West Palm Beach, and Phoenix.

The other services sector recorded the largest employment loss in three areas: Atlanta, Chicago, and San Francisco. Information lost the most jobs in three other areas: Houston, New York, and Philadelphia. Dallas and Washington were the only metropolitan areas to record gains in all supersectors.

Metropolitan area employment data for November 2018 are scheduled to be released on Friday, December 21, 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 Houston-The Woodlands-Sugar Land Metropolitan Statistical Area includes Austin, Brazoria, Chambers, Fort Bend, Galveston, Harris, Liberty, Montgomery, and Waller 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 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, United States and Houston metropolitan area, not seasonally adjusted (numbers in thousands)
Area and Industry Oct.
2017
Aug.
2018
Sep.
2018
Oct.
2018(p)
Oct. 2017 to
Oct. 2018(p)
Net change Percent change

United States

Total nonfarm

148,203 149,406 149,738 150,753 2,550 1.7

Mining and logging

700 763 759 764 64 9.1

Construction

7,182 7,529 7,474 7,500 318 4.4

Manufacturing

12,509 12,823 12,791 12,800 291 2.3

Trade, transportation, and utilities

27,604 27,797 27,715 27,910 306 1.1

Information

2,784 2,787 2,753 2,776 -8 -0.3

Financial activities

8,499 8,654 8,606 8,616 117 1.4

Professional and business services

20,815 21,217 21,185 21,352 537 2.6

Education and health services

23,515 23,430 23,691 24,018 503 2.1

Leisure and hospitality

16,100 17,076 16,530 16,360 260 1.6

Other services

5,808 5,910 5,864 5,886 78 1.3

Government

22,687 21,420 22,370 22,771 84 0.4

Houston-The Woodlands-Sugar Land, TX Metropolitan Statistical Area

Total nonfarm

3,041.0 3,122.1 3,135.2 3,158.8 117.8 3.9

Mining and logging

77.1 80.7 80.4 81.6 4.5 5.8

Construction

220.2 243.9 243.7 245.8 25.6 11.6

Manufacturing

216.7 231.2 232.6 232.8 16.1 7.4

Trade, transportation, and utilities

619.9 634.5 629.8 635.9 16.0 2.6

Information

31.2 31.1 30.8 31.0 -0.2 -0.6

Financial activities

160.4 164.3 164.6 165.2 4.8 3.0

Professional and business services

488.8 518.0 517.0 519.4 30.6 6.3

Education and health services

386.3 394.6 394.1 395.1 8.8 2.3

Leisure and hospitality

319.9 325.9 324.1 323.6 3.7 1.2

Other services

108.5 111.9 112.5 114.6 6.1 5.6

Government

412.0 386.0 405.6 413.8 1.8 0.4

(p) preliminary


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

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

2,752.2 2,789.6 2,796.5 2,813.0 60.8 2.2

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

124.8 132.2 133.5 135.1 10.3 8.3

Manufacturing

167.8 169.1 169.3 169.0 1.2 0.7

Trade, transportation, and utilities

607.7 616.9 620.1 621.6 13.9 2.3

Information

99.7 96.5 97.6 98.1 -1.6 -1.6

Financial activities

170.9 170.0 169.0 169.8 -1.1 -0.6

Professional and business services

503.1 507.0 508.5 519.0 15.9 3.2

Education and health services

346.5 356.2 358.3 359.8 13.3 3.8

Leisure and hospitality

290.7 308.1 302.9 301.3 10.6 3.6

Other services

100.5 98.6 98.4 97.8 -2.7 -2.7

Government

338.9 333.4 337.3 339.9 1.0 0.3

Boston-Cambridge-Nashua, MA-NH

Total nonfarm

2,767.5 2,805.7 2,800.6 2,820.6 53.1 1.9

Mining, logging, and construction

118.6 125.2 124.2 125.3 6.7 5.6

Manufacturing

187.3 192.2 190.5 191.8 4.5 2.4

Trade, transportation, and utilities

427.2 426.5 424.6 428.9 1.7 0.4

Information

79.3 81.7 79.7 80.2 0.9 1.1

Financial activities

185.0 186.4 184.1 183.5 -1.5 -0.8

Professional and business services

489.0 515.6 511.9 515.6 26.6 5.4

Education and health services

586.0 585.1 588.1 597.5 11.5 2.0

Leisure and hospitality

275.4 298.2 279.9 276.0 0.6 0.2

Other services

105.0 108.4 104.8 105.3 0.3 0.3

Government

314.7 286.4 312.8 316.5 1.8 0.6

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

4,754.6 4,766.3 4,751.5 4,795.9 41.3 0.9

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

182.6 191.8 191.1 193.2 10.6 5.8

Manufacturing

416.2 423.0 423.7 424.8 8.6 2.1

Trade, transportation, and utilities

955.6 953.0 944.7 959.1 3.5 0.4

Information

77.9 74.9 74.2 76.1 -1.8 -2.3

Financial activities

305.8 312.5 309.6 310.0 4.2 1.4

Professional and business services

842.3 844.0 838.0 844.9 2.6 0.3

Education and health services

735.5 720.5 726.2 738.7 3.2 0.4

Leisure and hospitality

482.6 507.5 490.2 486.0 3.4 0.7

Other services

195.2 194.5 191.7 191.6 -3.6 -1.8

Government

559.3 543.0 560.5 569.9 10.6 1.9

Dallas-Fort Worth-Arlington, TX

Total nonfarm

3,643.4 3,714.1 3,720.8 3,752.4 109.0 3.0

Mining, logging, and construction

216.6 231.5 229.9 231.1 14.5 6.7

Manufacturing

273.8 279.3 279.5 281.1 7.3 2.7

Trade, transportation, and utilities

778.1 787.4 786.7 791.1 13.0 1.7

Information

82.6 83.9 83.6 84.2 1.6 1.9

Financial activities

296.8 299.8 302.8 303.8 7.0 2.4

Professional and business services

600.3 626.7 623.5 629.5 29.2 4.9

Education and health services

446.6 456.8 457.3 461.1 14.5 3.2

Leisure and hospitality

382.9 397.5 392.4 396.3 13.4 3.5

Other services

124.0 128.0 126.8 127.4 3.4 2.7

Government

441.7 423.2 438.3 446.8 5.1 1.2

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

3,041.0 3,122.1 3,135.2 3,158.8 117.8 3.9

Mining and logging

77.1 80.7 80.4 81.6 4.5 5.8

Construction

220.2 243.9 243.7 245.8 25.6 11.6

Manufacturing

216.7 231.2 232.6 232.8 16.1 7.4

Trade, transportation, and utilities

619.9 634.5 629.8 635.9 16.0 2.6

Information

31.2 31.1 30.8 31.0 -0.2 -0.6

Financial activities

160.4 164.3 164.6 165.2 4.8 3.0

Professional and business services

488.8 518.0 517.0 519.4 30.6 6.3

Education and health services

386.3 394.6 394.1 395.1 8.8 2.3

Leisure and hospitality

319.9 325.9 324.1 323.6 3.7 1.2

Other services

108.5 111.9 112.5 114.6 6.1 5.6

Government

412.0 386.0 405.6 413.8 1.8 0.4

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

6,121.5 6,105.4 6,135.3 6,193.9 72.4 1.2

Mining and logging

2.9 2.9 3.0 3.0 0.1 3.4

Construction

246.0 249.3 248.0 249.7 3.7 1.5

Manufacturing

505.4 504.9 504.7 501.8 -3.6 -0.7

Trade, transportation, and utilities

1,109.2 1,101.1 1,097.2 1,106.2 -3.0 -0.3

Information

247.1 248.5 244.4 246.6 -0.5 -0.2

Financial activities

339.8 340.9 341.0 340.4 0.6 0.2

Professional and business services

931.7 946.3 946.3 961.2 29.5 3.2

Education and health services

1,027.1 1,027.8 1,036.6 1,046.8 19.7 1.9

Leisure and hospitality

752.5 781.8 780.7 783.4 30.9 4.1

Other services

205.2 201.9 203.3 205.4 0.2 0.1

Government

754.6 700.0 730.1 749.4 -5.2 -0.7

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

2,636.0 2,664.1 2,668.6 2,700.0 64.0 2.4

Mining and logging

0.7 0.8 0.8 0.8 0.1 14.3

Construction

132.5 144.8 145.6 147.3 14.8 11.2

Manufacturing

90.4 98.0 96.1 97.5 7.1 7.9

Trade, transportation, and utilities

595.5 601.5 600.3 607.3 11.8 2.0

Information

50.0 50.5 50.2 51.0 1.0 2.0

Financial activities

177.1 182.2 181.1 182.2 5.1 2.9

Professional and business services

440.6 434.6 437.9 446.1 5.5 1.2

Education and health services

396.2 395.6 398.0 404.0 7.8 2.0

Leisure and hospitality

314.2 321.6 321.7 325.6 11.4 3.6

Other services

124.1 125.2 126.6 127.6 3.5 2.8

Government

314.7 309.3 310.3 310.6 -4.1 -1.3

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

Total nonfarm

9,770.9 9,795.8 9,782.2 9,879.4 108.5 1.1

Mining, logging, and construction

408.0 416.4 415.6 415.5 7.5 1.8

Manufacturing

364.2 365.0 364.9 365.5 1.3 0.4

Trade, transportation, and utilities

1,759.1 1,748.2 1,746.8 1,764.0 4.9 0.3

Information

288.6 286.9 285.1 286.4 -2.2 -0.8

Financial activities

780.7 787.7 779.7 778.9 -1.8 -0.2

Professional and business services

1,560.8 1,582.3 1,571.6 1,580.4 19.6 1.3

Education and health services

1,956.4 1,922.1 1,965.7 2,017.2 60.8 3.1

Leisure and hospitality

917.9 1,000.0 953.1 929.7 11.8 1.3

Other services

424.0 430.2 424.7 431.8 7.8 1.8

Government

1,311.2 1,257.0 1,275.0 1,310.0 -1.2 -0.1

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

Total nonfarm

2,947.4 2,942.9 2,968.2 2,991.0 43.6 1.5

Mining, logging, and construction

118.4 123.0 122.2 122.8 4.4 3.7

Manufacturing

180.7 181.0 181.6 181.9 1.2 0.7

Trade, transportation, and utilities

525.5 525.3 525.7 531.9 6.4 1.2

Information

44.9 44.7 44.1 43.7 -1.2 -2.7

Financial activities

215.0 218.5 218.4 217.1 2.1 1.0

Professional and business services

476.0 481.7 483.1 488.2 12.2 2.6

Education and health services

658.2 644.8 662.3 671.4 13.2 2.0

Leisure and hospitality

268.4 286.2 270.7 267.6 -0.8 -0.3

Other services

118.9 121.6 120.0 120.6 1.7 1.4

Government

341.4 316.1 340.1 345.8 4.4 1.3

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

2,067.1 2,101.6 2,123.8 2,143.8 76.7 3.7

Mining and logging

3.2 3.2 3.2 3.2 0.0 0.0

Construction

117.2 130.4 131.0 133.9 16.7 14.2

Manufacturing

125.2 131.0 131.8 132.3 7.1 5.7

Trade, transportation, and utilities

396.5 400.5 400.7 401.1 4.6 1.2

Information

35.5 37.0 37.8 38.3 2.8 7.9

Financial activities

188.3 190.8 191.2 192.3 4.0 2.1

Professional and business services

353.8 358.2 361.8 368.0 14.2 4.0

Education and health services

313.3 318.6 321.5 325.1 11.8 3.8

Leisure and hospitality

223.0 228.4 229.0 233.0 10.0 4.5

Other services

64.9 65.3 65.0 65.8 0.9 1.4

Government

246.2 238.2 250.8 250.8 4.6 1.9

San Francisco-Oakland-Hayward, CA

Total nonfarm

2,418.3 2,442.6 2,448.9 2,460.0 41.7 1.7

Mining and logging

0.5 0.5 0.5 0.5 0.0 0.0

Construction

121.4 125.0 124.7 124.9 3.5 2.9

Manufacturing

141.9 143.7 143.6 142.1 0.2 0.1

Trade, transportation, and utilities

385.4 389.1 387.3 386.3 0.9 0.2

Information

107.7 112.3 111.9 111.9 4.2 3.9

Financial activities

142.9 144.7 143.6 143.4 0.5 0.3

Professional and business services

482.1 499.4 496.7 502.4 20.3 4.2

Education and health services

354.5 352.3 356.1 359.5 5.0 1.4

Leisure and hospitality

272.5 278.6 278.7 277.0 4.5 1.7

Other services

86.9 85.7 85.0 85.4 -1.5 -1.7

Government

322.5 311.3 320.8 326.6 4.1 1.3

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

Total nonfarm

3,292.7 3,334.0 3,339.6 3,353.4 60.7 1.8

Mining, logging, and construction

162.5 169.7 169.2 168.6 6.1 3.8

Manufacturing

54.9 55.8 55.9 56.1 1.2 2.2

Trade, transportation, and utilities

406.0 414.2 413.8 415.6 9.6 2.4

Information

73.2 74.0 73.7 74.4 1.2 1.6

Financial activities

158.1 161.4 161.6 160.6 2.5 1.6

Professional and business services

749.8 777.7 768.3 770.1 20.3 2.7

Education and health services

448.4 439.1 446.1 449.8 1.4 0.3

Leisure and hospitality

328.8 349.6 339.5 338.5 9.7 3.0

Other services

207.4 211.0 209.5 210.7 3.3 1.6

Government

703.6 681.5 702.0 709.0 5.4 0.8

(p) preliminary

 

Last Modified Date: Friday, November 23, 2018