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News Release Information

20-371-DAL
Wednesday, April 08, 2020

Contacts

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

Dallas-Fort Worth Area Employment — February 2020

Total nonfarm employment in the Dallas-Fort Worth-Arlington Metropolitan Statistical Area stood at 3,847,500 in February 2020, up 126,000 over the year, the U.S. Bureau of Labor Statistics reported today. From February 2019 to February 2020, local nonfarm employment rose 3.4 percent compared to the national rate of 1.6 percent. (See chart 1 and table 1.) Acting Regional Commissioner Susan Mendez noted that among the 12 largest metropolitan areas in the country, Dallas ranked first in both the number of jobs added over the year and the annual rate of job growth. (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 95,200 jobs from February a year ago, an increase of 3.6 percent. The Fort Worth-Arlington Metropolitan Division, which accounted for the remaining 29 percent of the area’s workforce, added 30,800 jobs during the period, a gain of 2.9 percent.

Industry employment

Professional and business services added 28,700 jobs in the area from February 2019 to February 2020, the largest gain of any local supersector. The Dallas-Plano-Irving metropolitan division was responsible for the majority of the local gain in this sector, with 23,100 jobs added (+4.5 percent), although the Fort Worth-Arlington division added jobs (+5,600) at a slightly faster pace (+4.7 percent). The Dallas-Fort Worth-Arlington area’s 4.6-percent annual rate of job growth in this supersector compared to the U.S. increase of 2.0 percent. (See chart 2.)

Dallas-Fort Worth-Arlington added 18,000 jobs in leisure and hospitality from February 2019 to February 2020. The local 4.7-percent annual job growth rate compared to the national increase of 2.6 percent. The leisure and hospitality supersector registered growth in both metropolitan divisions as employment rose 5.3 percent in Fort Worth-Arlington and 4.4 percent in Dallas-Plano-Irving.

Employment was up 16,900 over the year in education and health services in Dallas-Fort Worth-Arlington. The area’s 3.7-percent rate of job growth compared to the U.S. rate of 2.7 percent. Job gains were nearly as high in Fort Worth-Arlington (+7,300) as in Dallas-Plano-Irving (+9,600).

Trade, transportation, and utilities, Dallas-Fort Worth-Arlington’s largest supersector, added 16,100 jobs from February 2019 to February 2020. Locally, employment rose in all three sub-sectors: transportation, warehousing, and utilities (+8,100); wholesale trade (+6,100); and retail trade (+1,900). This was the first annual gain in the retail sector since October 2018. The 2.1-percent rate of local job growth compared to the national gain of 0.4 percent.

Mining, logging, and construction added 13,800 jobs locally, a 6.2-percent gain over the year. The Dallas-Plano-Irving metropolitan division added jobs at a faster pace than the Fort Worth-Arlington area, as employment in this sector expanded 8.2 percent and 2.4 percent, respectively.

Financial activities also added 13,800 jobs from February a year ago. The local 4.4-percent rate of annual job growth was more than double the 1.9-percent national rate. Both metropolitan areas contributed to the supersector’s job gain.

Four local sectors had annual job gains ranging from 9,500 to 1,400 from February 2019 to February 2020: government (+9,500), other services (+5,300), manufacturing (+2,500), and information (+1,400).

Employment in the 12 largest metropolitan areas

Dallas-Fort Worth-Arlington was 1 of the nation’s 12 largest metropolitan statistical areas in February 2020. All 12 areas had over-the-year job growth during the period, with the rates of job growth in 6 areas above the national average of 1.6 percent. Dallas had the fastest rate of job growth, up 3.4 percent, followed by Phoenix-Mesa-Scottsdale (+3.2 percent). Chicago-Naperville-Elgin had the slowest rate of annual job growth (+0.6 percent). (See chart 3 and table 2.)

Dallas added the largest number of jobs over the year, 126,000, followed by Los Angeles-Long Beach-Anaheim (+103,100), and New York-Newark-Jersey City (+100,100). Boston-Cambridge-Nashua had the smallest employment gain over the year (+25,100), followed by Miami-Fort Lauderdale-West Palm Beach (+28,900). Annual job gains in the remaining seven metropolitan areas ranged from 69,800 in Phoenix-Mesa-Scottsdale to 29,200 in Philadelphia-Camden-Wilmington.

Over the year, educational and health services added the most jobs in eight areas: Atlanta-Sandy Springs-Roswell, Boston, Chicago, Houston-The Woodlands-Sugar Land, Los Angeles, New York, Philadelphia, and Phoenix. Professional and business services added the most jobs in the four remaining areas.

Manufacturing lost the most jobs in five areas: Chicago, Los Angeles, Miami, Philadelphia, and San Francisco-Oakland-Hayward. Boston had an equal number of job losses in manufacturing and other services. Dallas, Phoenix, and Washington-Arlington-Alexandria were the only areas to experience job gains in all supersectors from February 2019 to February 2020.

Metropolitan area employment data for March 2020 are scheduled to be released on Friday, April 17, 2020, 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 2017 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 nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/sae/additional-resources/reliability-of-state-and-area-estimates.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 at the supersector level and for the private service-providing, goods-producing, total private and total nonfarm levels are available on the BLS website at www.bls.gov/sae/additional-resources/reliability-of-state-and-area-estimates.htm. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/benchmark.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 April 10, 2018. 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. Detailed industry employment data for metropolitan areas from the CES program are available from the State and Area Employment databases at www.bls.gov/sae/data/home.htm.

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.
2019
Dec.
2019
Jan.
2020
Feb.
2020(p)
Feb. 2019 to
Feb. 2020(p)
Net change Percent change

United States

Total nonfarm

148,684 152,929 150,117 150,997 2,313 1.6

Mining and logging

730 714 700 701 -29 -4.0

Construction

7,062 7,447 7,241 7,270 208 2.9

Manufacturing

12,762 12,876 12,763 12,792 30 0.2

Trade, transportation, and utilities

27,351 28,582 27,725 27,452 101 0.4

Information

2,830 2,895 2,854 2,878 48 1.7

Financial activities

8,633 8,819 8,761 8,793 160 1.9

Professional and business services

20,841 21,600 21,135 21,248 407 2.0

Education and health services

24,044 24,633 24,390 24,692 648 2.7

Leisure and hospitality

15,841 16,450 16,095 16,259 418 2.6

Other services

5,797 5,902 5,860 5,883 86 1.5

Government

22,793 23,011 22,593 23,029 236 1.0

Dallas-Fort Worth-Arlington, TX Metropolitan Statistical Area

Total nonfarm

3,721.5 3,875.6 3,818.6 3,847.5 126.0 3.4

Mining, logging, and construction

221.9 234.6 232.3 235.7 13.8 6.2

Manufacturing

286.6 290.5 288.1 289.1 2.5 0.9

Trade, transportation, and utilities

780.6 832.5 803.1 796.7 16.1 2.1

Information

81.5 83.3 83.7 82.9 1.4 1.7

Financial activities

312.5 324.3 323.8 326.3 13.8 4.4

Professional and business services

626.5 651.4 644.3 655.2 28.7 4.6

Education and health services

458.6 475.2 471.8 475.5 16.9 3.7

Leisure and hospitality

384.3 401.9 397.8 402.3 18.0 4.7

Other services

124.5 127.5 127.2 129.8 5.3 4.3

Government

444.5 454.4 446.5 454.0 9.5 2.1

Dallas-Plano-Irving, TX Metropolitan Division

Total nonfarm

2,644.4 2,762.4 2,720.1 2,739.6 95.2 3.6

Mining, logging, and construction

145.6 156.5 154.3 157.6 12.0 8.2

Manufacturing

184.4 188.9 187.6 187.9 3.5 1.9

Trade, transportation, and utilities

521.2 558.6 537.8 532.6 11.4 2.2

Information

70.9 72.6 73.1 72.3 1.4 2.0

Financial activities

244.6 254.5 254.2 256.0 11.4 4.7

Professional and business services

507.7 526.1 521.8 530.8 23.1 4.5

Education and health services

318.6 330.0 326.9 328.2 9.6 3.0

Leisure and hospitality

262.6 275.1 271.5 274.2 11.6 4.4

Other services

84.3 86.3 84.8 87.1 2.8 3.3

Government

304.5 313.8 308.1 312.9 8.4 2.8

Fort Worth-Arlington, TX Metropolitan Division

Total nonfarm

1,077.1 1,113.2 1,098.5 1,107.9 30.8 2.9

Mining, logging, and construction

76.3 78.1 78.0 78.1 1.8 2.4

Manufacturing

102.2 101.6 100.5 101.2 -1.0 -1.0

Trade, transportation, and utilities

259.4 273.9 265.3 264.1 4.7 1.8

Information

10.6 10.7 10.6 10.6 0.0 0.0

Financial activities

67.9 69.8 69.6 70.3 2.4 3.5

Professional and business services

118.8 125.3 122.5 124.4 5.6 4.7

Education and health services

140.0 145.2 144.9 147.3 7.3 5.2

Leisure and hospitality

121.7 126.8 126.3 128.1 6.4 5.3

Other services

40.2 41.2 42.4 42.7 2.5 6.2

Government

140.0 140.6 138.4 141.1 1.1 0.8

(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.
2019
Dec.
2019
Jan.
2020
Feb.
2020(p)
Feb. 2019 to
Feb. 2020(p)
Net change Percent change

Atlanta-Sandy Springs-Roswell, GA

Total nonfarm

2,819.3 2,904.0 2,862.6 2,861.7 42.4 1.5

Mining and logging

1.5 1.5 1.5 1.5 0.0 0.0

Construction

128.0 130.7 127.7 129.6 1.6 1.3

Manufacturing

170.3 172.1 172.1 171.6 1.3 0.8

Trade, transportation, and utilities

594.8 623.6 611.0 603.8 9.0 1.5

Information

101.9 102.0 100.4 101.7 -0.2 -0.2

Financial activities

174.8 179.2 177.6 178.4 3.6 2.1

Professional and business services

544.9 562.6 546.9 546.7 1.8 0.3

Education and health services

368.9 384.1 382.9 383.9 15.0 4.1

Leisure and hospitality

296.5 303.5 300.5 302.0 5.5 1.9

Other services

102.4 105.6 104.8 104.1 1.7 1.7

Government

335.3 339.1 337.2 338.4 3.1 0.9

Boston-Cambridge-Nashua, MA-NH

Total nonfarm

2,761.7 2,827.0 2,768.8 2,786.8 25.1 0.9

Mining, logging, and construction

113.1 120.3 114.7 113.6 0.5 0.4

Manufacturing

187.3 187.8 185.8 186.5 -0.8 -0.4

Trade, transportation, and utilities

419.9 436.3 427.4 419.6 -0.3 -0.1

Information

79.6 82.5 82.9 83.0 3.4 4.3

Financial activities

184.7 186.6 186.7 186.9 2.2 1.2

Professional and business services

503.6 518.0 506.8 509.3 5.7 1.1

Education and health services

592.7 599.6 588.7 604.0 11.3 1.9

Leisure and hospitality

261.5 271.8 261.6 263.8 2.3 0.9

Other services

101.8 102.9 102.0 101.0 -0.8 -0.8

Government

317.5 321.2 312.2 319.1 1.6 0.5

Chicago-Naperville-Elgin, IL-IN-WI

Total nonfarm

4,663.8 4,791.0 4,686.3 4,694.0 30.2 0.6

Mining and logging

1.6 1.8 1.6 1.6 0.0 0.0

Construction

159.0 173.9 161.6 161.4 2.4 1.5

Manufacturing

420.6 416.5 410.8 413.1 -7.5 -1.8

Trade, transportation, and utilities

932.7 975.1 946.1 935.0 2.3 0.2

Information

78.6 80.4 79.0 79.4 0.8 1.0

Financial activities

313.6 320.9 317.6 318.1 4.5 1.4

Professional and business services

816.2 833.7 811.8 816.1 -0.1 0.0

Education and health services

734.5 751.9 747.7 754.8 20.3 2.8

Leisure and hospitality

465.4 482.0 469.9 466.7 1.3 0.3

Other services

197.4 199.8 198.8 197.7 0.3 0.2

Government

544.2 555.0 541.4 550.1 5.9 1.1

Dallas-Fort Worth-Arlington, TX

Total nonfarm

3,721.5 3,875.6 3,818.6 3,847.5 126.0 3.4

Mining, logging, and construction

221.9 234.6 232.3 235.7 13.8 6.2

Manufacturing

286.6 290.5 288.1 289.1 2.5 0.9

Trade, transportation, and utilities

780.6 832.5 803.1 796.7 16.1 2.1

Information

81.5 83.3 83.7 82.9 1.4 1.7

Financial activities

312.5 324.3 323.8 326.3 13.8 4.4

Professional and business services

626.5 651.4 644.3 655.2 28.7 4.6

Education and health services

458.6 475.2 471.8 475.5 16.9 3.7

Leisure and hospitality

384.3 401.9 397.8 402.3 18.0 4.7

Other services

124.5 127.5 127.2 129.8 5.3 4.3

Government

444.5 454.4 446.5 454.0 9.5 2.1

Houston-The Woodlands-Sugar Land, TX

Total nonfarm

3,132.9 3,209.5 3,165.0 3,201.8 68.9 2.2

Mining and logging

81.2 78.5 76.5 75.6 -5.6 -6.9

Construction

233.5 241.6 238.2 243.2 9.7 4.2

Manufacturing

235.7 234.9 230.0 232.9 -2.8 -1.2

Trade, transportation, and utilities

625.9 652.9 635.9 634.1 8.2 1.3

Information

32.0 32.7 32.5 32.7 0.7 2.2

Financial activities

164.4 168.8 168.1 167.4 3.0 1.8

Professional and business services

500.4 512.7 509.5 514.9 14.5 2.9

Education and health services

400.4 411.1 411.1 416.6 16.2 4.0

Leisure and hospitality

326.0 332.2 329.7 338.2 12.2 3.7

Other services

114.5 117.3 117.5 120.0 5.5 4.8

Government

418.9 426.8 416.0 426.2 7.3 1.7

Los Angeles-Long Beach-Anaheim, CA

Total nonfarm

6,207.1 6,349.7 6,259.8 6,310.2 103.1 1.7

Mining and logging

2.4 2.3 2.3 2.3 -0.1 -4.2

Construction

249.3 257.0 256.0 259.1 9.8 3.9

Manufacturing

500.2 498.3 494.4 495.5 -4.7 -0.9

Trade, transportation, and utilities

1,100.2 1,147.5 1,118.6 1,109.0 8.8 0.8

Information

259.6 250.9 253.2 265.9 6.3 2.4

Financial activities

339.0 345.2 342.8 344.9 5.9 1.7

Professional and business services

961.7 987.4 966.6 975.9 14.2 1.5

Education and health services

1,068.8 1,099.3 1,090.5 1,100.1 31.3 2.9

Leisure and hospitality

755.9 775.6 763.0 771.2 15.3 2.0

Other services

207.7 212.5 209.0 210.8 3.1 1.5

Government

762.3 773.7 763.4 775.5 13.2 1.7

Miami-Fort Lauderdale-West Palm Beach, FL

Total nonfarm

2,721.7 2,760.7 2,733.0 2,750.6 28.9 1.1

Mining and logging

0.7 0.8 0.8 0.8 0.1 14.3

Construction

140.9 142.2 141.9 141.6 0.7 0.5

Manufacturing

91.5 91.4 90.2 90.4 -1.1 -1.2

Trade, transportation, and utilities

612.0 636.9 620.8 618.3 6.3 1.0

Information

51.4 51.1 50.6 51.1 -0.3 -0.6

Financial activities

188.1 192.3 188.7 190.3 2.2 1.2

Professional and business services

448.2 451.6 450.7 455.5 7.3 1.6

Education and health services

409.9 413.2 408.9 413.2 3.3 0.8

Leisure and hospitality

337.9 338.9 337.4 344.7 6.8 2.0

Other services

121.2 120.7 121.1 122.6 1.4 1.2

Government

319.9 321.6 321.9 322.1 2.2 0.7

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

Total nonfarm

9,810.3 10,109.3 9,855.2 9,910.4 100.1 1.0

Mining, logging, and construction

399.8 404.5 392.1 393.6 -6.2 -1.6

Manufacturing

359.5 359.7 356.4 359.1 -0.4 -0.1

Trade, transportation, and utilities

1,714.0 1,790.5 1,734.3 1,707.1 -6.9 -0.4

Information

289.4 296.2 285.8 290.1 0.7 0.2

Financial activities

781.9 790.4 780.0 784.0 2.1 0.3

Professional and business services

1,569.2 1,630.8 1,588.1 1,597.3 28.1 1.8

Education and health services

2,055.0 2,115.1 2,081.4 2,111.2 56.2 2.7

Leisure and hospitality

890.0 937.5 894.5 900.5 10.5 1.2

Other services

421.9 429.7 426.1 427.8 5.9 1.4

Government

1,329.6 1,354.9 1,316.5 1,339.7 10.1 0.8

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

Total nonfarm

2,932.7 3,006.4 2,948.0 2,961.9 29.2 1.0

Mining, logging, and construction

113.2 117.3 113.6 113.0 -0.2 -0.2

Manufacturing

183.0 183.7 182.8 182.4 -0.6 -0.3

Trade, transportation, and utilities

520.1 544.9 525.9 520.3 0.2 0.0

Information

48.5 50.1 49.4 49.3 0.8 1.6

Financial activities

216.2 219.0 216.6 217.5 1.3 0.6

Professional and business services

459.8 472.3 468.4 467.0 7.2 1.6

Education and health services

670.2 677.8 667.8 680.8 10.6 1.6

Leisure and hospitality

260.1 272.5 264.0 266.5 6.4 2.5

Other services

120.6 122.1 120.6 121.9 1.3 1.1

Government

341.0 346.7 338.9 343.2 2.2 0.6

Phoenix-Mesa-Scottsdale, AZ

Total nonfarm

2,162.1 2,249.5 2,215.5 2,231.9 69.8 3.2

Mining and logging

3.5 3.6 3.6 3.6 0.1 2.9

Construction

130.5 135.7 135.2 138.0 7.5 5.7

Manufacturing

131.4 135.0 133.9 133.7 2.3 1.8

Trade, transportation, and utilities

405.1 430.8 417.3 416.9 11.8 2.9

Information

40.0 40.9 40.7 40.6 0.6 1.5

Financial activities

199.1 205.7 204.7 204.9 5.8 2.9

Professional and business services

362.7 380.1 372.1 371.2 8.5 2.3

Education and health services

335.7 352.2 349.2 353.8 18.1 5.4

Leisure and hospitality

233.8 238.0 235.1 241.7 7.9 3.4

Other services

70.3 72.4 70.5 70.4 0.1 0.1

Government

250.0 255.1 253.2 257.1 7.1 2.8

San Francisco-Oakland-Hayward, CA

Total nonfarm

2,447.8 2,514.6 2,477.8 2,489.3 41.5 1.7

Mining and logging

0.3 0.3 0.3 0.3 0.0 0.0

Construction

121.5 125.7 123.2 123.5 2.0 1.6

Manufacturing

145.2 144.3 144.2 143.7 -1.5 -1.0

Trade, transportation, and utilities

370.6 385.7 373.7 369.3 -1.3 -0.4

Information

123.1 131.2 129.8 130.2 7.1 5.8

Financial activities

145.1 148.3 147.7 147.8 2.7 1.9

Professional and business services

491.0 509.4 504.5 509.0 18.0 3.7

Education and health services

362.1 369.3 366.4 371.2 9.1 2.5

Leisure and hospitality

277.7 285.8 278.0 280.9 3.2 1.2

Other services

87.4 88.2 87.8 88.3 0.9 1.0

Government

323.8 326.4 322.2 325.1 1.3 0.4

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

Total nonfarm

3,305.7 3,396.3 3,338.7 3,361.3 55.6 1.7

Mining, logging, and construction

159.4 163.5 161.6 163.0 3.6 2.3

Manufacturing

55.9 58.2 57.6 58.7 2.8 5.0

Trade, transportation, and utilities

400.2 426.4 406.7 404.2 4.0 1.0

Information

75.9 77.0 77.3 78.2 2.3 3.0

Financial activities

158.9 163.0 162.8 162.5 3.6 2.3

Professional and business services

765.4 787.3 780.1 785.4 20.0 2.6

Education and health services

451.2 453.4 447.5 451.7 0.5 0.1

Leisure and hospitality

322.7 334.6 326.4 330.3 7.6 2.4

Other services

208.3 212.8 212.5 210.9 2.6 1.2

Government

707.8 720.1 706.2 716.4 8.6 1.2

(p) preliminary

 

Last Modified Date: Wednesday, April 08, 2020