Workers in the Bremerton-Silverdale, WA Metropolitan Statistical Area had an average (mean) hourly wage of $31.18 in May 2022, 5 percent above the nationwide average of $29.76, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Chris Rosenlund noted that, after testing for statistical significance, wages in the local area were higher than their respective national averages in 15 of the 22 major occupational groups, including production; protective service; and installation, maintenance, and repair. Four groups had significantly lower wages than their respective national averages, including legal; arts, design, entertainment, sports, and media; and management.

When compared to the nationwide distribution, Bremerton area employment was more highly concentrated in 7 of the 22 occupational groups, including architecture and engineering; construction and extraction; and installation, maintenance, and repair. Twelve groups had employment shares significantly below their national representation, including management, transportation and material moving, and office and administrative support. (See table A.)

One occupational group—architecture and engineering—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Bremerton had 4,650 jobs in architecture and engineering, accounting for 5.1 percent of local area employment, significantly higher than the 1.7-percent share nationally. The average hourly wage for this occupational group locally was $47.02, significantly above the national wage of $45.52.

Some of the larger detailed occupations within the architecture and engineering group included mechanical engineers (620), civil engineers (340), and electrical and electronic engineering technologists and technicians (290). Among the higher-paying jobs in this group were computer hardware engineers and environmental engineers, with mean hourly wages of $54.45 and $51.06, respectively. At the lower end of the wage scale were architectural and civil drafters ($31.12) and civil engineering technologists and technicians ($35.95). (Detailed data for the architecture and engineering occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_14740.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 Bremerton area, above-average concentrations of employment were found in many of the occupations within the architecture and engineering group. For instance, marine engineers and naval architects were employed at 39.4 times the national rate in Bremerton, and electrical and electronic engineering technologists and technicians, at 4.8 times the U.S. average.

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 Washington Employment Security Department.

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 Bremerton-Silverdale, WA Metropolitan Statistical Area included 1,104 establishments with a response rate of 72 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 Bremerton-Silverdale, WA Metropolitan Statistical Area includes Kitsap County.

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 architecture and engineering occupations, Bremerton metropolitan area, May 2022

Occupation (1)	Employment		Mean wages ($)
	Level (2)	Location quotient (3)	Hourly	Annual (4)
Architecture and engineering occupations	4,650	3.1	47.02	97,810
Architects, except landscape and naval	100	1.5	38.18	79,420
Surveyors	40	1.2	42.09	87,540
Civil engineers	340	1.8	42.73	88,870
Computer hardware engineers	50	1.1	54.45	113,260
Electrical engineers	190	1.7	45.81	95,290
Electronics engineers, except computer	140	2.2	50.54	105,120
Environmental engineers	90	3.1	51.06	106,200
Industrial engineers	140	0.7	(5)	(5)
Marine engineers and naval architects	180	39.4	48.50	100,870
Mechanical engineers	620	3.6	46.93	97,610
Engineers, all other	390	4.2	59.47	123,700
Architectural and civil drafters	60	1.0	31.12	64,720
Civil engineering technologists and technicians	50	1.4	35.95	74,780
Electrical and electronic engineering technologists and technicians	290	4.8	43.35	90,170
Engineering technologists and technicians, except drafters, all other	960	22.4	45.74	95,150
Footnotes: (1) For a complete listing of all detailed occupations in the Bremerton-Silverdale, WA Metropolitan Statistical Area, see www.bls.gov/oes/current/oes_14740.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. (5) Estimate not released.