Friday, July 16, 2021
Workers in the Bridgeport-Stamford-Norwalk, CT Metropolitan Statistical Area had an average (mean) hourly wage of $35.57 in May 2020, about 31 percent above the nationwide average of $27.07, 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 20 of the 22 major occupational groups, including management; life, physical, and social science; and legal.
When compared to the nationwide distribution, Bridgeport area employment was more highly concentrated in 8 of the 22 occupational groups, including management, business and financial operations, and educational instruction and library. Ten groups had employment shares significantly below their national representation, including transportation and material moving, production, and construction and extraction. (See table A.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||Bridgeport||United States||Bridgeport||Percent difference (1)|
Total, all occupations
Business and financial operations
Computer and mathematical
Architecture and engineering
Life, physical, and social science
Community and social service
Educational instruction and library
Arts, design, entertainment, sports, and media
Healthcare practitioners and technical
Food preparation and serving related
Building and grounds cleaning and maintenance
Personal care and service
Sales and related
Office and administrative support
Farming, fishing, and forestry
Construction and extraction
Installation, maintenance, and repair
Transportation and material moving
One occupational group—management—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Bridgeport had 34,560 jobs in management, accounting for 9.2 percent of local area employment, significantly higher than the 5.7-percent share nationally. The average hourly wage for this occupational group locally was $84.17, significantly above the national wage of $60.81.
Some of the larger detailed occupations within the management group included general and operations managers (9,090), financial managers (6,560), and marketing managers (2,470). Among the higher-paying jobs in this group were human resources managers and general and operations managers, with mean hourly wages of $93.29 and $88.06, respectively. At the lower end of the wage scale were education and childcare administrators, preschool and daycare ($32.08) and social and community service managers ($35.87). (Detailed data for the management occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_71950.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 Bridgeport area, above-average concentrations of employment were found in many of the occupations within the management group. For instance, financial managers were employed at 3.7 times the national rate in Bridgeport, and marketing managers, at 3.4 times the U.S. average. Property, real estate, and community association managers had a location quotient of 1.1 in Bridgeport, 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 Connecticut Department of Labor.
The Occupational Employment Statistics (OES) program has changed its name to Occupational Employment and Wage Statistics (OEWS) to better reflect the range of data available from the program. Data released on or after March 31, 2021, will reflect the new program name. Webpages, publications, and other materials associated with previous data releases will retain the Occupational Employment Statistics name.
Due to features of the OEWS methodology, the May 2020 OEWS estimates do not fully reflect the impact of the COVID-19 pandemic. The May 2020 OEWS estimates are based on survey panels collected for May 2020, November 2019, May 2019, November 2018, May 2018, and November 2017. Because 5 of the 6 survey panels used to produce the estimates date from before the COVID-19 pandemic, only the most recent (May 2020) survey panel reflects changes in occupational proportions related to the COVID-19 pandemic.
The May 2020 OEWS employment estimates are benchmarked to the average of May 2020 and November 2019 employment from the Quarterly Census of Employment and Wages (QCEW). Although the May 2020 QCEW data reflect the early employment effects of the COVID-19 pandemic, the November 2019 QCEW employment data precede the pandemic, and therefore do not reflect its impact.
In addition, as a result of the pandemic, response rates for the November 2019 and May 2020 panels were lower in some areas. Lower response rates may negatively affect data availability and data quality. More information is available at www.bls.gov/covid19/effects-of-covid-19-pandemic-on-occupational-employment-and-wage-statistics.htm.
With the May 2019 estimates, the OEWS program began implementing the 2018 Standard Occupational Classification (SOC) system. Because the May 2019 and May 2020 estimates are based on a combination of survey data collected using the 2010 SOC and survey data collected using the 2018 SOC, these estimates use a hybrid of the two classification systems that contains some combinations of occupations that are not found in either the 2010 or 2018 SOC. This is the second and final year that the hybrid occupational structure will be used. The May 2021 estimates, to be published in Spring 2022, will be the first OEWS estimates based entirely on survey data collected using the 2018 SOC. For more information on the occupational classification system used in the May 2019 and May 2020 estimates, please see www.bls.gov/oes/soc_2018.htm and www.bls.gov/oes/oes_ques.htm#qf10.
With the May 2021 estimates, to be released in Spring 2022, the OEWS program plans to begin using a new estimation methodology. The new model-based methodology, called MB3, has advantages over the existing methodology, as described in the Monthly Labor Review article at www.bls.gov/opub/mlr/2019/article/model-based-estimates-for-the-occupational-employment-statistics-program.htm. OEWS estimates for the years 2015-2018 were recalculated using the new estimation methodology and are available as research estimates at www.bls.gov/oes/oes-mb3-methods.htm.
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 180,000 to 185,000 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 2020 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2020, November 2019, May 2019, November 2018, May 2018, and November 2017. The unweighted sample employment of 83 million across all six semiannual panels represents approximately 56 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 69 percent based on establishments and 66 percent based on weighted sampled employment. The sample in the Bridgeport-Stamford-Norwalk, CT Metropolitan Statistical Area included 3,158 establishments with a response rate of 63 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 Bridgeport-Stamford-Norwalk, CT Metropolitan Statistical Area includes Ansonia city, Bridgeport city, Darien town, Derby city, Easton town, Fairfield town, Greenwich town, Milford city, Monroe town, New Canaan town, Norwalk city, Oxford town, Redding town, Ridgefield town, Seymour town, Shelton city, Southbury town, Stamford city, Stratford town, Trumbull town, Weston town, Westport town, Wilton town, Woodbridge town.
For more information
|Occupation (1)||Employment||Mean wages|
|Level (2)||Location quotient (3)||Hourly||Annual (4)|
General and operations managers
Public relations and fundraising managers
Administrative services and facilities managers
Computer and information systems managers
Industrial production managers
Transportation, storage, and distribution managers
Compensation and benefits managers
Human resources managers
Training and development managers
Education and childcare administrators, preschool and daycare
Education administrators, kindergarten through secondary
Education administrators, postsecondary
Education administrators, all other
Architectural and engineering managers
Food service managers
Medical and health services managers
Natural sciences managers
Property, real estate, and community association managers
Social and community service managers
Personal service managers, all other; entertainment and recreation managers, except gambling; and managers, all other
Last Modified Date: Friday, July 16, 2021