News Release Information

18-1251-DAL
Monday, August 27, 2018

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Houston Area Employment — July 2018

Total nonfarm employment in the Houston-The Woodlands-Sugar Land Metropolitan Statistical Area stood at 3,113,100 in July 2018, up 101,800 or 3.4 percent, from one year earlier, the U.S. Bureau of Labor Statistics reported today. During the same period, the national job count increased 1.6 percent. Assistant Commissioner for Regional Operations Stanley W. Suchman noted that July marked the first period of local annual job growth exceeding 100,000 since February 2015. July also marked the ninth consecutive month that Houston’s rate of job growth has exceeded the U.S. average. Prior to this period, annual local job growth rates had been below the national average for more than two years. (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 July 2017 to July 2018, up 40,900. Job gains in the sector were large in the employment services industry which added 13,500 jobs, a 16.4-percent increase over the year. Houston’s professional and business services employment rose 8.5 percent since July 2017, more than three times the national increase of 2.6 percent. (See table 1 and chart 2.)

Construction added 25,500 jobs locally from July 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 15,200 or 26.9 percent. Area employment in the construction supersector climbed 11.9 percent compared to the 4.2-percent gain for the nation.

Trade, transportation, and utilities, Houston’s largest employer, added 15,300 jobs from July 2017 to July 2018. Employment rose in all three sub-sectors: wholesale trade (+5,000); retail trade (+8,000); and transportation, warehousing, and utilities (+2,300). Over the year, local employment in the trade, transportation, and utilities sector increased 2.5 percent, more than double the 1.2-percent nationwide increase.

Manufacturing in Houston added 6,500 jobs from July 2017 to July 2018, marking the ninth consecutive month of annual growth. The local durable goods manufacturing industry produced all of the sector’s job growth over the year, with fabricated metal product manufacturing adding nearly half of the sector’s jobs (+3,100). Area employment in manufacturing rose 2.9 percent from July a year ago, compared to 2.6 percent nationally.

Houston’s education and health services employment rose 5,600 from July a year ago. This gain represented a 1.5-percent increase locally, below the national advance of 1.8 percent. However, Houston’s 1.5-percent job gain was the fastest annual rate for this local sector since August 2017.

Financial activities added 3,200 jobs from July 2017 in the Houston area; nearly all of the sector growth occurred in the real estate and rental and leasing industry. Local employment in the sector rose 2.0 percent compared to the 1.3-percent increase nationwide.

Three other local sectors had annual job gains of at least 1,300: leisure and hospitality (+2,600), mining and logging (+1,400), and government (+1,300). Only one Houston supersector, information, lost jobs from July 2017 to July 2018 (-1,000).

Employment in the 12 largest metropolitan areas

Houston-The Woodlands-Sugar Land was 1 of the nation’s 12 largest metropolitan statistical areas in July 2018. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 8 areas exceeding the national increase of 1.6 percent. Houston (+3.4 percent), Dallas-Fort Worth-Arlington (+3.3 percent), and Phoenix-Mesa-Scottsdale (+3.1 percent) had the fastest rates of job growth. Los Angeles-Long Beach-Anaheim (+1.1 percent) and Chicago-Naperville-Elgin (+1.3 percent) had the slowest rates of job growth. (See chart 3 and table 2.)

New York-Newark-Jersey City added the largest number of jobs over the year, 143,000, followed by Dallas (+118,200) and Houston (+101,800). San Francisco-Oakland-Hayward had the smallest employment gain over the year, adding 39,400 jobs. Annual gains in the remaining eight metropolitan areas ranged from 77,100 in Washington-Arlington-Alexandria to 45,800 in Miami-Fort Lauderdale-West Palm Beach.

Over the year, professional and business services added the most jobs in five areas: Boston-Cambridge-Nashua, Dallas, Houston, San Francisco, and Washington. Construction gained the most jobs in three areas: Chicago, Miami, and Phoenix.

Information recorded the largest employment loss in four areas: Atlanta-Sandy Springs-Roswell, Chicago, Houston, and Philadelphia-Camden-Wilmington. Dallas and Washington were the only metropolitan areas to record no losses in any supersector.

Metropolitan area employment data for August 2018 are scheduled to be released on Friday, September 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 Jul.
2017
May
2018
Jun.
2018
Jul.
2018(p)
Jul. 2017 to
Jul. 2018(p)
Net change Percent change

United States

Total nonfarm

146,486 149,345 150,057 148,901 2,415 1.6

Mining and logging

692 732 747 748 56 8.1

Construction

7,197 7,283 7,443 7,500 303 4.2

Manufacturing

12,498 12,657 12,795 12,825 327 2.6

Trade, transportation, and utilities

27,460 27,685 27,812 27,786 326 1.2

Information

2,807 2,765 2,786 2,788 -19 -0.7

Financial activities

8,545 8,550 8,639 8,652 107 1.3

Professional and business services

20,619 20,936 21,124 21,147 528 2.6

Education and health services

22,881 23,635 23,435 23,304 423 1.8

Leisure and hospitality

16,888 16,550 17,040 17,163 275 1.6

Other services

5,852 5,887 5,956 5,944 92 1.6

Government

21,047 22,665 22,280 21,044 -3 0.0

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

Total nonfarm

3,011.3 3,110.2 3,131.6 3,113.1 101.8 3.4

Mining and logging

78.3 79.3 79.7 79.7 1.4 1.8

Construction

213.5 229.6 236.5 239.0 25.5 11.9

Manufacturing

220.9 227.6 228.2 227.4 6.5 2.9

Trade, transportation, and utilities

615.8 627.7 629.2 631.1 15.3 2.5

Information

32.6 31.3 31.4 31.6 -1.0 -3.1

Financial activities

160.0 162.9 163.8 163.2 3.2 2.0

Professional and business services

483.2 510.3 523.0 524.1 40.9 8.5

Education and health services

383.5 387.2 386.2 389.1 5.6 1.5

Leisure and hospitality

323.4 327.3 332.3 326.0 2.6 0.8

Other services

110.3 111.8 111.7 110.8 0.5 0.5

Government

389.8 415.2 409.6 391.1 1.3 0.3

(p) preliminary


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

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

2,714.6 2,771.4 2,782.2 2,771.6 57.0 2.1

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

121.2 129.1 130.3 129.7 8.5 7.0

Manufacturing

167.3 168.9 168.8 170.1 2.8 1.7

Trade, transportation, and utilities

602.5 617.5 620.5 620.8 18.3 3.0

Information

97.7 91.7 94.6 94.5 -3.2 -3.3

Financial activities

171.4 170.3 171.4 169.9 -1.5 -0.9

Professional and business services

500.5 497.2 505.6 507.8 7.3 1.5

Education and health services

336.8 352.0 345.6 347.1 10.3 3.1

Leisure and hospitality

297.1 308.1 311.3 309.1 12.0 4.0

Other services

100.8 100.0 101.1 100.9 0.1 0.1

Government

317.7 335.0 331.4 320.1 2.4 0.8

Boston-Cambridge-Nashua, MA-NH

Total nonfarm

2,750.8 2,787.5 2,824.4 2,813.0 62.2 2.3

Mining, logging, and construction

118.1 119.6 123.1 125.6 7.5 6.4

Manufacturing

188.4 188.6 191.8 192.7 4.3 2.3

Trade, transportation, and utilities

425.9 423.9 431.3 427.8 1.9 0.4

Information

81.0 79.5 80.5 81.4 0.4 0.5

Financial activities

187.7 183.5 185.8 186.4 -1.3 -0.7

Professional and business services

492.3 501.0 512.6 516.1 23.8 4.8

Education and health services

573.6 589.2 582.9 586.0 12.4 2.2

Leisure and hospitality

287.2 281.2 295.5 298.5 11.3 3.9

Other services

106.9 105.1 109.3 108.7 1.8 1.7

Government

289.7 315.9 311.6 289.8 0.1 0.0

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

4,722.5 4,750.8 4,800.9 4,782.1 59.6 1.3

Mining and logging

1.6 1.6 1.6 1.6 0.0 0.0

Construction

182.2 183.7 189.9 193.2 11.0 6.0

Manufacturing

417.3 421.7 425.7 427.7 10.4 2.5

Trade, transportation, and utilities

946.9 952.4 954.5 952.6 5.7 0.6

Information

78.9 76.1 75.7 75.1 -3.8 -4.8

Financial activities

308.8 307.9 312.3 313.5 4.7 1.5

Professional and business services

834.1 823.0 840.8 845.0 10.9 1.3

Education and health services

712.4 737.8 729.4 718.1 5.7 0.8

Leisure and hospitality

502.9 489.7 508.9 512.3 9.4 1.9

Other services

197.8 195.0 197.1 196.2 -1.6 -0.8

Government

539.6 561.9 565.0 546.8 7.2 1.3

Dallas-Fort Worth-Arlington, TX

Total nonfarm

3,585.8 3,706.2 3,720.4 3,704.0 118.2 3.3

Mining, logging, and construction

216.8 227.4 229.6 230.8 14.0 6.5

Manufacturing

272.3 276.1 278.2 278.0 5.7 2.1

Trade, transportation, and utilities

767.0 780.4 783.7 784.8 17.8 2.3

Information

84.0 84.2 84.2 84.4 0.4 0.5

Financial activities

296.7 298.4 299.7 299.2 2.5 0.8

Professional and business services

592.1 612.4 615.9 615.7 23.6 4.0

Education and health services

439.2 455.1 459.8 458.2 19.0 4.3

Leisure and hospitality

381.0 396.5 400.1 401.2 20.2 5.3

Other services

124.3 126.9 128.8 130.1 5.8 4.7

Government

412.4 448.8 440.4 421.6 9.2 2.2

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

3,011.3 3,110.2 3,131.6 3,113.1 101.8 3.4

Mining and logging

78.3 79.3 79.7 79.7 1.4 1.8

Construction

213.5 229.6 236.5 239.0 25.5 11.9

Manufacturing

220.9 227.6 228.2 227.4 6.5 2.9

Trade, transportation, and utilities

615.8 627.7 629.2 631.1 15.3 2.5

Information

32.6 31.3 31.4 31.6 -1.0 -3.1

Financial activities

160.0 162.9 163.8 163.2 3.2 2.0

Professional and business services

483.2 510.3 523.0 524.1 40.9 8.5

Education and health services

383.5 387.2 386.2 389.1 5.6 1.5

Leisure and hospitality

323.4 327.3 332.3 326.0 2.6 0.8

Other services

110.3 111.8 111.7 110.8 0.5 0.5

Government

389.8 415.2 409.6 391.1 1.3 0.3

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

6,008.6 6,125.8 6,130.8 6,073.2 64.6 1.1

Mining and logging

2.9 2.9 2.9 3.0 0.1 3.4

Construction

244.0 247.5 248.8 247.5 3.5 1.4

Manufacturing

508.9 507.1 505.4 507.6 -1.3 -0.3

Trade, transportation, and utilities

1,097.6 1,086.1 1,088.9 1,092.4 -5.2 -0.5

Information

232.5 238.0 239.2 237.1 4.6 2.0

Financial activities

342.6 339.3 339.5 340.1 -2.5 -0.7

Professional and business services

922.4 931.5 938.3 936.0 13.6 1.5

Education and health services

997.5 1,035.8 1,027.2 1,018.0 20.5 2.1

Leisure and hospitality

752.6 773.7 777.0 785.4 32.8 4.4

Other services

204.8 203.1 205.1 201.8 -3.0 -1.5

Government

702.8 760.8 758.5 704.3 1.5 0.2

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

2,595.2 2,669.3 2,649.7 2,641.0 45.8 1.8

Mining and logging

0.7 0.8 0.8 0.8 0.1 14.3

Construction

129.7 142.4 143.6 144.9 15.2 11.7

Manufacturing

88.5 97.9 97.8 97.9 9.4 10.6

Trade, transportation, and utilities

594.7 599.5 601.2 600.2 5.5 0.9

Information

50.7 50.6 50.6 50.3 -0.4 -0.8

Financial activities

179.1 180.5 181.7 181.9 2.8 1.6

Professional and business services

433.7 435.7 438.7 438.9 5.2 1.2

Education and health services

386.5 393.1 390.5 393.2 6.7 1.7

Leisure and hospitality

319.1 329.3 326.4 320.6 1.5 0.5

Other services

122.7 125.4 127.6 124.4 1.7 1.4

Government

289.8 314.1 290.8 287.9 -1.9 -0.7

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

Total nonfarm

9,698.6 9,833.1 9,905.8 9,841.6 143.0 1.5

Mining, logging, and construction

408.1 405.6 413.7 416.2 8.1 2.0

Manufacturing

365.9 363.9 366.4 364.5 -1.4 -0.4

Trade, transportation, and utilities

1,733.3 1,758.6 1,771.5 1,752.2 18.9 1.1

Information

287.4 283.0 289.4 286.4 -1.0 -0.3

Financial activities

788.0 773.6 786.2 788.6 0.6 0.1

Professional and business services

1,561.8 1,567.9 1,584.5 1,585.7 23.9 1.5

Education and health services

1,869.1 1,994.0 1,959.3 1,928.5 59.4 3.2

Leisure and hospitality

973.2 947.0 994.6 1,007.4 34.2 3.5

Other services

426.4 427.4 431.2 428.5 2.1 0.5

Government

1,285.4 1,312.1 1,309.0 1,283.6 -1.8 -0.1

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

Total nonfarm

2,893.4 2,962.3 2,975.9 2,954.9 61.5 2.1

Mining, logging, and construction

120.1 118.5 120.3 122.6 2.5 2.1

Manufacturing

181.6 182.0 182.1 181.7 0.1 0.1

Trade, transportation, and utilities

518.4 528.0 531.0 527.5 9.1 1.8

Information

46.3 44.7 45.0 44.9 -1.4 -3.0

Financial activities

216.8 216.6 218.6 219.9 3.1 1.4

Professional and business services

467.5 480.2 484.5 488.0 20.5 4.4

Education and health services

626.6 654.5 647.1 647.9 21.3 3.4

Leisure and hospitality

280.0 274.1 285.5 285.8 5.8 2.1

Other services

122.1 121.5 122.8 121.6 -0.5 -0.4

Government

314.0 342.2 339.0 315.0 1.0 0.3

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

1,985.6 2,087.7 2,057.0 2,046.9 61.3 3.1

Mining and logging

3.3 3.2 3.2 3.2 -0.1 -3.0

Construction

115.3 123.8 127.9 128.3 13.0 11.3

Manufacturing

124.1 129.4 130.6 131.5 7.4 6.0

Trade, transportation, and utilities

390.6 397.8 395.2 395.7 5.1 1.3

Information

36.2 37.1 37.4 36.8 0.6 1.7

Financial activities

186.5 188.8 189.1 189.0 2.5 1.3

Professional and business services

339.4 348.5 350.8 351.1 11.7 3.4

Education and health services

300.4 319.1 314.3 312.9 12.5 4.2

Leisure and hospitality

216.5 232.8 226.5 222.7 6.2 2.9

Other services

65.7 66.6 65.7 65.0 -0.7 -1.1

Government

207.6 240.6 216.3 210.7 3.1 1.5

San Francisco-Oakland-Hayward, CA

Total nonfarm

2,395.5 2,435.8 2,439.6 2,434.9 39.4 1.6

Mining and logging

0.5 0.5 0.5 0.5 0.0 0.0

Construction

121.4 122.1 123.4 124.1 2.7 2.2

Manufacturing

141.3 142.3 143.1 144.4 3.1 2.2

Trade, transportation, and utilities

382.2 382.2 384.3 386.8 4.6 1.2

Information

108.2 108.2 110.1 112.6 4.4 4.1

Financial activities

143.4 143.0 142.7 143.1 -0.3 -0.2

Professional and business services

481.0 491.0 492.4 497.3 16.3 3.4

Education and health services

344.4 356.6 354.0 351.2 6.8 2.0

Leisure and hospitality

277.7 277.7 278.8 278.7 1.0 0.4

Other services

88.0 84.7 85.0 85.5 -2.5 -2.8

Government

307.4 327.5 325.3 310.7 3.3 1.1

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

Total nonfarm

3,283.1 3,325.5 3,357.3 3,360.2 77.1 2.3

Mining, logging, and construction

163.2 162.0 168.0 169.2 6.0 3.7

Manufacturing

55.2 55.6 55.9 55.9 0.7 1.3

Trade, transportation, and utilities

407.6 412.3 414.0 412.2 4.6 1.1

Information

74.2 75.0 75.7 74.2 0.0 0.0

Financial activities

159.3 159.2 161.6 162.3 3.0 1.9

Professional and business services

756.7 759.9 771.3 779.2 22.5 3.0

Education and health services

426.2 445.5 442.0 438.6 12.4 2.9

Leisure and hospitality

341.5 339.3 352.1 353.3 11.8 3.5

Other services

210.6 210.8 212.4 214.4 3.8 1.8

Government

688.6 705.9 704.3 700.9 12.3 1.8

(p) preliminary

 

Last Modified Date: Monday, August 27, 2018