Total nonfarm employment for the Miami-Fort Lauderdale-West Palm Beach, FL, metropolitan area increased by 140,300 over the year in May, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Janet S. Rankin noted that the local rate of job gain, 5.3 percent, compared to the 4.5-percent national increase. (See chart 1 and table 1.) (All data in this release are not seasonally adjusted; accordingly, over-the-year analysis is used throughout.)

Miami-Fort Lauderdale-West Palm Beach, FL, is made up of three metropolitan divisions—separately identifiable employment centers within the larger metropolitan area. Employment increased over the year in all three divisions. Miami-Miami Beach-Kendall, FL, with 45 percent of the area’s total nonfarm employment, gained 75,300 jobs over the year. Fort Lauderdale-Pompano Beach-Deerfield Beach, FL, which accounted for 31 percent of the area’s employment, gained 33,400 jobs since May 2021, and West Palm Beach-Boca Raton-Delray Beach, FL, with 24 percent of the area’s employment, added 31,600 jobs.

Industry employment

In Miami-Fort Lauderdale-West Palm Beach, FL, trade, transportation, and utilities had the largest gain (+39,100) among the metropolitan area’s private-industry supersectors, with all three divisions recording increases. (See chart 2.) Within this supersector, the retail trade and wholesale trade sectors added 22,300 jobs. The 6.6-percent increase in the metropolitan area’s trade, transportation, and utilities supersector compared to the 4.0-percent gain on a national level.

Leisure and hospitality added 38,700 jobs over the year in the metropolitan area. Accommodation and food services accounted for 35,700, or 92 percent, of the jobs gained within this supersector. The metropolitan area had a 13.5-percent gain in the leisure and hospitality supersector, compared to the 12.7-percent increase for the nation.

Professional and business services added 24,600 jobs. The 5.3-percent increase in the metropolitan area’s professional and business services supersector compared to the 5.5-percent gain on a national level.

Twelve largest metropolitan areas

Miami-Fort Lauderdale-West Palm Beach, FL, was 1 of the nation’s 12 largest metropolitan statistical areas in May 2022. All 12 areas gained jobs over the year. New York-Newark-Jersey City, NY-NJ-PA, had the largest increase (+509,500). Phoenix-Mesa-Scottsdale, AZ, had the smallest gain (+81,000) among the largest areas. (See table 2 and chart 3.)

Dallas-Fort Worth-Arlington, TX, had a 7.7-percent rate of job gain, followed by Atlanta-Sandy Springs-Roswell, GA, and Houston-The Woodlands-Sugar Land, TX, with 6.1 percent each. The rates of job gains in the remaining nine areas ranged from 5.8 percent in San Francisco-Oakland-Hayward, CA, to 3.0 percent in Washington-Arlington-Alexandria, DC-VA-MD-WV.

The Metropolitan Area Employment and Unemployment release for June 2022 is scheduled to be released on Wednesday, August 3, 2022, at 10:00 a.m. (ET).

Technical Note

This release presents nonfarm payroll employment estimates from the CES program. The CES survey is a Federal-State cooperative endeavor between State employment security agencies and the U.S. Bureau of Labor Statistics.

Definitions. Employment data refer to persons on establishment payrolls who receive pay for any part of the pay period which 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 estimates are produced with a model that uses direct sample estimates (described above) combined with other regressors to decrease volatility in estimation.

Annual revisions. Employment estimates are adjusted annually to a complete count of jobs, called benchmarks, derived principally from tax reports which 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. Information on recent benchmark revisions is available online at www.bls.gov/web/laus/bmrk_article.htm.

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 totals shown in the same tables due to rounding.

Employment estimates. Changes in metropolitan area nonfarm payroll employment are cited in the analysis of this release only if they have been determined to be statistically significant at the 90-percent confidence level. Measures of sampling error for the total nonfarm employment series are available for metropolitan areas and metropolitan divisions at www.bls.gov/web/laus/790stderr.htm.

Area definitions. The substate area data published in this news release reflect the delineations issued by the U.S. Office of Management and Budget on April 10, 2018. The 12 metropolitan areas discussed in this release are the metropolitan areas with the largest population according to the U.S. Census Bureau.

The Miami-Fort Lauderdale-West Palm Beach, FL Metropolitan Statistical Area includes Broward, Miami-Dade, and Palm Beach Counties.

• The Fort Lauderdale-Pompano Beach-Deerfield Beach, FL Metropolitan Division includes Broward County.

• The Miami-Miami Beach-Kendall, FL Metropolitan Division includes Miami-Dade County.

• The West Palm Beach-Boca Raton-Delray Beach, FL Metropolitan Division includes Palm Beach County.

Additional information

Employment data from the CES program are available on the BLS website at www.bls.gov/sae/.

Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.

Table 2. Employees on nonfarm payrolls by industry supersector for the 12 largest metropolitan areas, not seasonally adjusted (numbers in thousands)

Area	May 2021	Mar 2022	Apr 2022	May 2022(p)	May 2021 to May 2022(p)
					Net change	Percent change
Atlanta-Sandy Springs-Roswell, GA
Total nonfarm	2,788.6	2,938.1	2,950.1	2,958.9	170.3	6.1
Mining and logging	1.8	1.9	1.9	1.9	0.1	5.6
Construction	130.3	131.3	131.0	133.4	3.1	2.4
Manufacturing	165.1	174.8	175.9	175.3	10.2	6.2
Trade, transportation, and utilities	594.6	633.1	634.4	635.5	40.9	6.9
Information	110.3	117.8	120.0	120.9	10.6	9.6
Financial activities	182.5	191.4	191.7	192.6	10.1	5.5
Professional and business services	545.6	585.5	591.1	587.3	41.7	7.6
Education and health services	365.9	386.9	386.4	387.6	21.7	5.9
Leisure and hospitality	265.6	280.0	282.8	290.4	24.8	9.3
Other services	97.7	101.7	101.0	102.7	5.0	5.1
Government	329.2	333.7	333.9	331.3	2.1	0.6
Boston-Cambridge-Nashua, MA-NH (NECTA)
Total nonfarm	2,659.0	2,733.9	2,771.2	2,784.5	125.5	4.7
Mining, logging, and construction	123.5	121.9	126.9	130.4	6.9	5.6
Manufacturing	177.5	182.1	183.6	184.8	7.3	4.1
Trade, transportation, and utilities	396.7	405.3	407.9	408.3	11.6	2.9
Information	80.9	83.9	85.3	85.8	4.9	6.1
Financial activities	181.9	179.7	178.4	178.3	-3.6	-2.0
Professional and business services	512.9	530.6	541.6	541.7	28.8	5.6
Education and health services	579.7	603.2	604.2	597.8	18.1	3.1
Leisure and hospitality	210.0	225.4	240.1	253.2	43.2	20.6
Other services	89.8	93.9	95.4	95.0	5.2	5.8
Government	306.1	307.9	307.8	309.2	3.1	1.0
Chicago-Naperville-Elgin, IL-IN-WI
Total nonfarm	4,486.8	4,611.5	4,648.8	4,698.9	212.1	4.7
Mining and logging	1.7	1.7	1.8	1.9	0.2	11.8
Construction	177.3	162.6	175.7	184.8	7.5	4.2
Manufacturing	392.6	407.1	409.2	409.2	16.6	4.2
Trade, transportation, and utilities	917.2	950.4	948.3	950.4	33.2	3.6
Information	73.4	77.4	77.7	78.0	4.6	6.3
Financial activities	314.1	316.7	313.4	315.4	1.3	0.4
Professional and business services	805.9	834.5	837.5	845.8	39.9	5.0
Education and health services	715.0	726.9	729.5	730.7	15.7	2.2
Leisure and hospitality	390.0	419.3	437.3	458.9	68.9	17.7
Other services	180.8	185.2	186.4	187.2	6.4	3.5
Government	518.8	529.7	532.0	536.6	17.8	3.4
Dallas-Fort Worth-Arlington, TX
Total nonfarm	3,802.7	4,020.6	4,063.1	4,097.4	294.7	7.7
Mining, logging, and construction	218.3	227.0	232.0	233.3	15.0	6.9
Manufacturing	283.6	293.2	294.2	296.5	12.9	4.5
Trade, transportation, and utilities	820.3	877.1	877.3	881.7	61.4	7.5
Information	80.9	85.8	85.9	85.9	5.0	6.2
Financial activities	336.7	360.5	362.2	364.5	27.8	8.3
Professional and business services	673.9	722.7	738.3	747.7	73.8	11.0
Education and health services	458.3	482.0	483.7	481.3	23.0	5.0
Leisure and hospitality	360.5	391.5	405.6	421.9	61.4	17.0
Other services	118.9	127.3	129.9	132.1	13.2	11.1
Government	451.3	453.5	454.0	452.5	1.2	0.3
Houston-The Woodlands-Sugar Land, TX
Total nonfarm	3,045.0	3,168.6	3,199.5	3,230.5	185.5	6.1
Mining and logging	58.7	67.2	68.3	66.8	8.1	13.8
Construction	207.9	218.8	222.5	231.7	23.8	11.4
Manufacturing	211.4	219.3	221.7	221.5	10.1	4.8
Trade, transportation, and utilities	622.8	656.9	661.4	665.5	42.7	6.9
Information	28.9	31.5	31.5	31.6	2.7	9.3
Financial activities	167.2	171.3	171.9	172.1	4.9	2.9
Professional and business services	497.6	505.6	511.2	518.7	21.1	4.2
Education and health services	407.1	426.5	431.4	429.9	22.8	5.6
Leisure and hospitality	309.2	326.5	332.2	345.3	36.1	11.7
Other services	109.2	110.9	111.0	111.7	2.5	2.3
Government	425.0	434.1	436.4	435.7	10.7	2.5
Los Angeles-Long Beach-Anaheim, CA
Total nonfarm	5,851.6	6,116.6	6,138.9	6,158.4	306.8	5.2
Mining and logging	2.0	2.0	2.0	2.0	0.0	0.0
Construction	252.4	258.5	255.3	259.4	7.0	2.8
Manufacturing	458.8	468.5	469.3	473.2	14.4	3.1
Trade, transportation, and utilities	1,054.7	1,089.3	1,088.7	1,089.5	34.8	3.3
Information	231.6	250.8	252.9	254.2	22.6	9.8
Financial activities	328.6	324.8	325.6	329.4	0.8	0.2
Professional and business services	944.8	978.5	985.0	980.1	35.3	3.7
Education and health services	1,072.9	1,119.4	1,118.0	1,116.8	43.9	4.1
Leisure and hospitality	601.8	695.7	710.0	718.9	117.1	19.5
Other services	181.6	197.5	199.6	200.8	19.2	10.6
Government	722.4	731.6	732.5	734.1	11.7	1.6
Miami-Fort Lauderdale-West Palm Beach, FL
Total nonfarm	2,636.7	2,758.0	2,769.2	2,777.0	140.3	5.3
Mining and logging	0.8	0.9	0.8	0.9	0.1	12.5
Construction	139.2	141.6	143.2	142.8	3.6	2.6
Manufacturing	89.0	93.6	94.4	95.5	6.5	7.3
Trade, transportation, and utilities	594.7	633.0	632.1	633.8	39.1	6.6
Information	49.6	52.2	52.2	52.7	3.1	6.3
Financial activities	193.7	200.3	202.8	201.4	7.7	4.0
Professional and business services	460.5	479.3	484.1	485.1	24.6	5.3
Education and health services	407.7	417.0	415.3	416.8	9.1	2.2
Leisure and hospitality	285.9	320.1	323.9	324.6	38.7	13.5
Other services	109.7	115.0	116.5	116.7	7.0	6.4
Government	305.9	305.0	303.9	306.7	0.8	0.3
New York-Newark-Jersey City, NY-NJ-PA
Total nonfarm	9,225.4	9,530.6	9,648.5	9,734.9	509.5	5.5
Mining, logging, and construction	389.7	376.5	387.2	393.3	3.6	0.9
Manufacturing	332.2	339.0	339.7	339.7	7.5	2.3
Trade, transportation, and utilities	1,575.5	1,633.3	1,634.5	1,651.4	75.9	4.8
Information	301.7	318.3	319.3	321.1	19.4	6.4
Financial activities	762.8	770.6	772.3	776.7	13.9	1.8
Professional and business services	1,518.0	1,574.0	1,600.7	1,615.7	97.7	6.4
Education and health services	2,012.1	2,054.8	2,072.5	2,074.7	62.6	3.1
Leisure and hospitality	687.2	782.3	823.9	860.3	173.1	25.2
Other services	367.1	390.4	397.7	400.9	33.8	9.2
Government	1,279.1	1,291.4	1,300.7	1,301.1	22.0	1.7
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD
Total nonfarm	2,852.4	2,925.1	2,950.2	2,966.2	113.8	4.0
Mining, logging, and construction	119.8	117.4	120.6	121.2	1.4	1.2
Manufacturing	172.1	177.0	177.7	178.7	6.6	3.8
Trade, transportation, and utilities	515.4	536.5	536.8	536.8	21.4	4.2
Information	48.1	48.7	49.4	50.1	2.0	4.2
Financial activities	216.2	218.3	217.9	219.2	3.0	1.4
Professional and business services	471.8	485.3	493.3	491.9	20.1	4.3
Education and health services	647.0	657.0	661.0	659.1	12.1	1.9
Leisure and hospitality	221.9	235.7	245.0	260.0	38.1	17.2
Other services	111.0	116.5	116.4	118.1	7.1	6.4
Government	329.1	332.7	332.1	331.1	2.0	0.6
Phoenix-Mesa-Scottsdale, AZ
Total nonfarm	2,191.7	2,267.8	2,275.8	2,272.7	81.0	3.7
Mining and logging	2.6	3.0	3.0	3.0	0.4	15.4
Construction	138.1	141.9	140.9	140.6	2.5	1.8
Manufacturing	135.8	141.1	142.5	142.9	7.1	5.2
Trade, transportation, and utilities	429.7	457.9	453.7	450.7	21.0	4.9
Information	39.3	39.6	42.1	42.9	3.6	9.2
Financial activities	215.3	213.4	213.0	212.8	-2.5	-1.2
Professional and business services	369.4	377.0	378.6	376.7	7.3	2.0
Education and health services	341.5	353.8	356.2	357.3	15.8	4.6
Leisure and hospitality	212.5	226.7	231.1	235.8	23.3	11.0
Other services	67.7	70.7	70.8	70.5	2.8	4.1
Government	239.8	242.7	243.9	239.5	-0.3	-0.1
San Francisco-Oakland-Hayward, CA
Total nonfarm	2,311.2	2,421.0	2,434.1	2,444.9	133.7	5.8
Mining and logging	0.4	0.4	0.4	0.4	0.0	0.0
Construction	122.9	124.7	124.4	126.7	3.8	3.1
Manufacturing	145.6	153.0	152.9	152.7	7.1	4.9
Trade, transportation, and utilities	342.1	356.9	356.7	356.4	14.3	4.2
Information	138.0	143.8	143.4	144.5	6.5	4.7
Financial activities	138.6	141.2	141.3	140.9	2.3	1.7
Professional and business services	486.0	512.4	518.1	516.8	30.8	6.3
Education and health services	363.9	373.3	372.5	372.3	8.4	2.3
Leisure and hospitality	190.9	220.0	226.3	232.5	41.6	21.8
Other services	73.3	80.8	82.4	83.5	10.2	13.9
Government	309.5	314.5	315.7	318.2	8.7	2.8
Washington-Arlington-Alexandria, DC-VA-MD-WV
Total nonfarm	3,196.7	3,269.3	3,287.1	3,293.3	96.6	3.0
Mining, logging, and construction	161.5	163.1	162.7	164.5	3.0	1.9
Manufacturing	55.2	55.3	55.1	55.3	0.1	0.2
Trade, transportation, and utilities	390.3	400.3	399.2	400.1	9.8	2.5
Information	76.1	77.2	77.2	76.8	0.7	0.9
Financial activities	156.8	152.9	152.2	151.1	-5.7	-3.6
Professional and business services	782.6	793.3	795.7	793.8	11.2	1.4
Education and health services	420.9	430.6	435.4	433.5	12.6	3.0
Leisure and hospitality	250.2	287.1	297.3	305.5	55.3	22.1
Other services	193.8	195.0	197.2	197.9	4.1	2.1
Government	709.3	714.5	715.1	714.8	5.5	0.8
Footnotes (p) Preliminary.