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News Release Information

Thursday, June 14, 2018

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Occupational Employment and Wages in Ocean City — May 2017

Workers in the Ocean City Metropolitan Statistical Area had an average (mean) hourly wage of $20.51 in May 2017, about 16 percent below the nationwide average of $24.34, according to the U.S. Bureau of Labor Statistics. Chief Regional Economist Martin Kohli noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 10 of the 22 major occupational groups, including legal; arts, design, entertainment, sports, and media; and management. Four groups had significantly higher wages than their respective national averages, including community and social service; protective service; and personal care and service.

When compared to the nationwide distribution, local employment was more highly concentrated in 7 of the 22 occupational groups, including food preparation and serving related; building and grounds cleaning and maintenance; and sales and related. Conversely, nine groups had employment shares significantly below their national representation, including production; business and financial operations; and transportation and material moving. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Ocean City Metropolitan Statistical Area, and measures of statistical significance, May 2017
Major occupational group Percent of total employment Mean hourly wage
United States Ocean City United States Ocean City Percent difference (1)

Total, all occupations

100.0 100.0 $24.34 $20.51* -16


5.1 2.8* 57.65 52.91* -8

Business and financial operations

5.2 2.4* 36.70 33.98* -7

Computer and mathematical

3.0 0.6* 43.18 38.66* -10

Architecture and engineering

1.8 0.3* 41.44 40.03 -3

Life, physical, and social science

0.8 0.3* 35.76 31.32* -12

Community and social service

1.5 1.8 23.10 27.94* 21


0.8 0.5* 51.62 37.27* -28

Education, training, and library

6.1 6.0 26.67 27.09 2

Arts, design, entertainment, sports, and media

1.4 0.7* 28.34 19.48* -31

Healthcare practitioners and technical

6.0 5.5 38.83 37.26 -4

Healthcare support

2.9 4.0* 15.05 15.47 3

Protective service

2.4 2.7* 22.69 27.38* 21

Food preparation and serving related

9.3 17.5* 11.88 13.33* 12

Building and grounds cleaning and maintenance

3.1 6.2* 13.91 14.43 4

Personal care and service

3.6 4.3* 13.11 16.12* 23

Sales and related

10.2 12.2* 19.56 16.23* -17

Office and administrative support

15.4 16.2 18.24 16.92* -7

Farming, fishing, and forestry

0.3 (2) 13.87 (2) (2)

Construction and extraction

4.0 5.4* 24.01 24.23 1

Installation, maintenance, and repair

3.9 3.9 23.02 21.95* -5


6.3 2.1* 18.30 18.59 2

Transportation and material moving

7.0 4.3* 17.82 15.83* -11

(1) A positive percent difference measures how much the mean wage in the Ocean City Metropolitan Statistical Area is above the national mean wage, while a negative difference reflects a lower wage.
(2) Estimate not released
* The percent share of employment or mean hourly wage for this area is significantly different from the national average of all areas at the 90-percent confidence level.

One occupational group—healthcare support—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Ocean City had 1,560 jobs in healthcare support, accounting for 4.0 percent of local area employment, significantly higher than the 2.9-percent share nationally. The average hourly wage for this occupational group locally was $15.47, compared to the national wage of $15.05.

Some of the larger detailed occupations within the healthcare support group included nursing assistants (480), home health aides (400), and medical assistants (140). Among the higher paying jobs were dental assistants and medical assistants, with mean hourly wages of $21.42 and $15.72, respectively. At the lower end of the wage scale were home health aides ($12.88) and nursing assistants ($14.11). (Detailed occupational data for healthcare support are presented in table 1; for a complete listing of detailed occupations available go to

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 Ocean City Metropolitan Statistical Area, above-average concentrations of employment were found in some of the occupations within the healthcare support group. For instance, home health aides were employed at 1.8 times the national rate in Ocean City. On the other hand, dental assistants had a location quotient of 0.9 in Ocean City, indicating that this particular occupation’s local and national employment shares were similar.

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

Notes on Occupational Employment Statistics Data

With the release of the May 2017 estimates, the OES program has replaced 21 detailed occupations found in the 2010 Standard Occupational Classification (SOC) with 10 new aggregations of those occupations. In addition, selected 4- and 5-digit North American Industry Classification System (NAICS) industries previously published by OES will no longer be published separately. Some of the 4-digit NAICS industries that are no longer being published separately will instead be published as OES-specific industry aggregations. More information about the new occupational and industry aggregations is available at

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.

Technical Note

The Occupational Employment Statistics (OES) survey is a semiannual mail survey measuring occupational employment and wage rates for wage and salary workers in nonfarm establishments in the United States. The OES data available from BLS include cross-industry occupational employment and wage estimates for the nation; over 650 areas, including states and the District of Columbia, metropolitan statistical areas (MSAs), metropolitan divisions, nonmetropolitan areas, and territories; national industry-specific estimates at the NAICS sector, 3-, 4-, and selected 5- and 6-digit industry levels, and national estimates by ownership across all industries and for schools and hospitals. OES data are available at

OES estimates are constructed from a sample of about 1.2 million establishments. Each year, two semiannual panels of approximately 200,000 sampled establishments are contacted, one panel in May and the other in November. Responses are obtained by mail, Internet or other electronic means, email, telephone, or personal visit. The May 2017 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2017, November 2016, May 2016, November 2015, May 2015, and November 2014. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 72 percent based on establishments and 68 percent based on weighted sampled employment. The unweighted sample employment of 82 million across all six semiannual panels represents approximately 58 percent of total national employment. The sample in the Ocean City Metropolitan Statistical Area included 776 establishments with a response rate of 82 percent. For more information about OES concepts and methodology, go to

The May 2017 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2012 North American Industry Classification System (NAICS). Information about the 2010 SOC is available on the BLS website at and information about the 2012 NAICS is available at

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 Ocean City, N.J. Metropolitan Statistical Area is comprised of Cape May County.

Additional information

OES data are available on our regional web page at Answers to frequently asked questions about the OES data are available at Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at

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. Employment and wage data from the Occupational Employment Statistics survey, by occupation, Ocean City Metropolitan Statistical Area, May 2017
Occupation (1) Employment Mean wages
Level (2) Location quotient (3) Hourly Annual (4)

Healthcare support occupations

1,560 1.4 $15.47 $32,190

Home health aides

400 1.8 12.88 26,790

Nursing assistants

480 1.2 14.11 29,360

Dental assistants

80 0.9 21.42 44,560

Medical assistants

140 0.8 15.72 32,690

Healthcare support workers, all other

110 4.5 20.15 41,920

(1) For a complete listing of all detailed occupations in Ocean City, NJ, see
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations 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: Thursday, June 14, 2018