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News Release Information

23-1448-NEW
Tuesday, July 18, 2023

Contacts Technical information: Media contact:
  • (617) 565-4141

Occupational Employment and Wages in New York-Newark-Jersey City — May 2022

Workers in the New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area had an average (mean) hourly wage of $37.77 in May 2022, 27 percent above the nationwide average of $29.76, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner William J. Sibley noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in all of the 22 major occupational groups.

When compared to the nationwide distribution, New York area employment was more highly concentrated in 11 of the 22 occupational groups, including healthcare support, educational instruction and library, and business and financial operations. Ten groups had employment shares significantly below their national representation, including production, food preparation and serving related, and transportation and material moving. (See table A.)

Table A. Occupational employment and wages by major occupational group, United States and the New York metropolitan area, and measures of statistical significance, May 2022
Major occupational group Percent of total employment Mean hourly wage ($)
United States New York United States New York Percent difference (1)

Total, all occupations

100.0 100.0 29.76 37.77* 27

Management

6.7 6.7 63.08 87.15* 38

Business and financial operations

6.5 7.8* 41.39 54.14* 31

Computer and mathematical

3.4 3.4* 51.99 59.23* 14

Architecture and engineering

1.7 1.0* 45.52 48.83* 7

Life, physical, and social science

0.9 0.8* 40.21 45.66* 14

Community and social service

1.6 1.8* 26.81 31.65* 18

Legal

0.8 1.4* 59.87 77.22* 29

Educational instruction and library

5.7 7.2* 30.41 38.68* 27

Arts, design, entertainment, sports, and media

1.4 2.3* 36.78 47.57* 29

Healthcare practitioners and technical

6.1 6.0* 46.52 57.09* 23

Healthcare support

4.6 7.5* 17.10 18.53* 8

Protective service

2.3 3.2* 25.97 30.30* 17

Food preparation and serving related

8.5 6.7* 15.45 20.06* 30

Building and grounds cleaning and maintenance

2.9 3.2* 17.26 21.08* 22

Personal care and service

1.9 2.1* 17.41 21.28* 22

Sales and related

8.9 8.6* 24.22 33.24* 37

Office and administrative support

12.6 12.9* 21.90 26.02* 19

Farming, fishing, and forestry

0.3 0.1* 18.21 20.44* 12

Construction and extraction

4.1 3.2* 28.08 37.29* 33

Installation, maintenance, and repair

3.9 3.4* 26.77 30.84* 15

Production

5.9 2.8* 21.81 23.45* 8

Transportation and material moving

9.2 7.9* 21.12 24.20* 15

Footnotes:
(1) A positive percent difference measures how much the mean wage in the New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
* The mean hourly wage or percent share of employment is significantly different from the national average of all areas at the 90-percent confidence level.

One occupational group—business and financial operations—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. New York had 719,620 jobs in business and financial operations, accounting for 7.8 percent of local area employment, significantly higher than the 6.5-percent share nationally. The average hourly wage for this occupational group locally was $54.14, significantly above the national wage of $41.39.

Some of the larger detailed occupations within the business and financial operations group included accountants and auditors (125,750), market research analysts and marketing specialists (82,070), and project management specialists (60,220). Among the higher-paying jobs in this group were personal financial advisors and financial risk specialists, with mean hourly wages of $100.12 and $73.47, respectively. At the lower end of the wage scale were credit counselors ($32.44) and tax preparers ($34.00). (Detailed data for the business and financial operations occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_35620.htm.)

Location quotients allow us to explore the occupational make-up of a metropolitan area by comparing the composition of jobs in an area relative to the national average. (See table 1.) For example, a location quotient of 2.0 indicates that an occupation accounts for twice the share of employment in the area than it does nationally. In the New York area, above-average concentrations of employment were found in some of the occupations within the business and financial operations group. For instance, financial risk specialists were employed at 3.4 times the national rate in New York, and financial and investment analysts, at 2.8 times the U.S. average. Human resources specialists had a location quotient of 1.0 in New York, indicating that this particular occupation’s local and national employment shares were similar.

These statistics are from the Occupational Employment and Wage Statistics (OEWS) survey, a federal-state cooperative program between BLS and State Workforce Agencies, in this case, the New York State Department of Labor, the New Jersey Department of Labor and Workforce Development, and the Pennsylvania Department of Labor and Industry.

Changes to the Occupational Employment and Wage Statistics (OEWS) Data

The May 2022 OEWS estimates use the model-based (MB3) estimation method implemented with the May 2021 estimates release. Additional updates were made to the MB3 wage processing methodology for May 2022. For more information, see the May 2022 Survey Methods and Reliability Statement.

The May 2022 estimates are the first OEWS estimates to be produced using the 2022 NAICS, which replaces the 2017 NAICS used for the May 2017-May 2021 estimates. See North American Industry Classification System (NAICS) at BLS for details.


Technical Note

The Occupational Employment and Wage Statistics (OEWS) survey is a semiannual survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OEWS data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 580 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-digit, most 4-digit, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OEWS data are available at www.bls.gov/oes/tables.htm.

The OEWS survey is a cooperative effort between BLS and the State Workforce Agencies (SWAs). BLS funds the survey and provides the procedures and technical support, while the State Workforce Agencies collect most of the data. OEWS estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 179,000 to 187,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by Internet or other electronic means, mail, email, telephone, or personal visit. The May 2022 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2022, November 2021, May 2021, November 2020, May 2020, and November 2019. The unweighted sampled employment of 80 million across all six semiannual panels represents approximately 57 percent of total national employment. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 65.4 percent based on establishments and 62.5 percent based on weighted sampled employment. The sample in the New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area included 24,204 establishments with a response rate of 69 percent. For more information about OEWS concepts and methodology, go to www.bls.gov/oes/current/oes_tec.htm.

A value that is statistically different from another does not necessarily mean that the difference has economic or practical significance. Statistical significance is concerned with the ability to make confident statements about a universe based on a sample. It is entirely possible that a large difference between two values is not significantly different statistically, while a small difference is, since both the size and heterogeneity of the sample affect the relative error of the data being tested.

Metropolitan area definitions

The substate area data published in this release reflect the standards and definitions established by the U.S. Office of Management and Budget.

The New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area includes Bergen County, NJ; Essex County, NJ; Hudson County, NJ; Hunterdon County, NJ; Middlesex County, NJ; Monmouth County, NJ; Morris County, NJ; Ocean County, NJ; Passaic County, NJ; Somerset County, NJ; Sussex County, NJ; Union County, NJ; Bronx County, NY; Dutchess County, NY; Kings County, NY; Nassau County, NY; New York County, NY; Orange County, NY; Putnam County, NY; Queens County, NY; Richmond County, NY; Rockland County, NY; Suffolk County, NY; Westchester County, NY; and Pike County, PA.

For more information

Answers to frequently asked questions about the OEWS data are available at www.bls.gov/oes/oes_ques.htm. Detailed information about the OEWS program is available at www.bls.gov/oes/oes_doc.htm.

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 1. Employment and wage data for business and financial operations occupations, New York metropolitan area, May 2022
Occupation (1) Employment Mean wages ($)
Level (2) Location quotient (3) Hourly Annual (4)

Business and financial operations occupations

719,620 1.2 54.14 112,610

Agents and business managers of artists, performers, and athletes

2,250 2.8 58.32 121,300

Buyers and purchasing agents

26,890 0.9 42.72 88,860

Claims adjusters, examiners, and investigators

14,610 0.8 44.13 91,790

Insurance appraisers, auto damage

560 0.8 40.25 83,710

Compliance officers

20,240 0.9 44.98 93,560

Cost estimators

10,880 0.8 42.22 87,830

Human resources specialists

52,240 1.0 43.12 89,690

Labor relations specialists

7,340 1.9 50.19 104,390

Logisticians

8,060 0.6 45.19 93,990

Project management specialists

60,220 1.2 62.48 129,960

Management analysts

57,200 1.1 61.38 127,670

Meeting, convention, and event planners

8,750 1.3 38.64 80,360

Fundraisers

11,360 1.9 40.24 83,700

Compensation, benefits, and job analysis specialists

6,920 1.2 43.29 90,040

Training and development specialists

19,890 0.9 40.65 84,540

Market research analysts and marketing specialists

82,070 1.7 46.71 97,150

Business operations specialists, all other

50,510 0.8 43.39 90,260

Accountants and auditors

125,750 1.4 54.94 114,280

Property appraisers and assessors

2,290 0.6 43.79 91,070

Budget analysts

2,530 0.8 49.58 103,130

Credit analysts

7,760 1.7 66.98 139,310

Financial and investment analysts

50,010 2.8 68.96 143,440

Personal financial advisors

29,000 1.7 100.12 208,250

Insurance underwriters

7,760 1.2 52.19 108,550

Financial risk specialists

11,660 3.4 73.47 152,820

Financial examiners

11,030 2.8 63.50 132,080

Credit counselors

1,500 0.8 32.44 67,480

Loan officers

13,170 0.6 52.33 108,840

Tax examiners and collectors, and revenue agents

2,770 0.9 40.98 85,240

Tax preparers

7,590 1.5 34.00 70,730

Financial specialists, all other

6,810 0.9 55.46 115,360

Footnotes:
(1) For a complete listing of all detailed occupations in the New York-Newark-Jersey City, NY-NJ-PA Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_35620.htm.
(2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are not shown separately. Estimates do not include self-employed workers.
(3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.
(4) Annual wages have been calculated by multiplying the hourly mean wage by a 'year-round, full-time' hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.

 

Last Modified Date: Tuesday, July 18, 2023