News Release Information
Monday, May 18, 2020
Occupational Employment and Wages in Beaumont-Port Arthur – May 2019
Workers in the Beaumont-Port Arthur, TX Metropolitan Statistical Area had an average (mean) hourly wage of $23.48 in May 2019, about 9 percent below the nationwide average of $25.72, the U.S. Bureau of Labor Statistics reported today. Acting Regional Commissioner Susan Mendez noted that, after testing for statistical significance, 13 of the 22 major occupational groups had average wages in the local area that were significantly lower than their respective national averages, including educational instruction and library, healthcare support, and food preparation and serving related. Three local groups, including production and architecture and engineering had wages that were significantly above the national average.
When compared to the nationwide distribution, Beaumont area employment was more highly concentrated in 6 of the 22 occupational groups including construction and extraction, production, and installation, maintenance, and repair. Ten groups had employment shares significantly below their national representation, including business and financial operations, computer and mathematical, and office and administrative support. (See table A and box notes at end of release.)
|Major occupational group||Percent of total employment||Mean hourly wage|
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
Note: * 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–construction and extraction–was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Beaumont had 14,520 jobs in construction and extraction occupations, accounting for 9.0 percent of local area employment, more than double the 4.2-percent national share. The local average hourly wage for this occupational group was $23.89, about 5 percent lower than the national average of $25.28.
Some of the larger detailed occupations within the construction and extraction group included construction laborers (2,410), first-line supervisors of construction trades and extraction workers (2,030), and electricians (1,410). Among the higher-paying jobs in this group were first-line supervisors of construction trades and extraction workers and plumbers, pipefitters, and steamfitters, with mean hourly wages of $32.38 and $28.93, respectively. At the lower end of the wage scale were electricians’ helpers ($16.24) and construction laborers ($16.65). (Detailed data for the construction and extraction occupations are presented in table 1; for a complete listing of detailed occupations go to www.bls.gov/oes/current/oes_13140.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 Beaumont area, above-average concentrations of employment were found in many of the detailed occupations within the construction and extraction group. For instance, boilermakers were employed at 35.9 times the national rate in the Beaumont area, and carpenters’ helpers, at 7.3 times the U.S. average. These two location quotients in Beaumont were among the highest in all the published metropolitan areas nationwide for these particular occupations. On the other hand, highway maintenance workers had a location quotient of 1.0 in the greater Beaumont area, 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 Texas Workforce Commission.
Changes to the Occupational Employment Statistics (OES) Data
With the May 2019 estimates, the OES program has begun implementing the 2018 Standard Occupational Classification (SOC) system. Each set of OES estimates is calculated from six panels of survey data collected over three years. Because the May 2019 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. These combinations may include occupations from more than one 2018 SOC minor group or broad occupation. Therefore, OES will not publish data for some 2018 SOC minor groups and broad occupations in the May 2019 estimates. The May 2021 estimates, to be published in Spring 2022, will be the first OES estimates based entirely on survey data collected using the 2018 SOC.
In addition, the OES program has replaced some 2018 SOC detailed occupations with SOC broad occupations or OES-specific aggregations. These include home health aides and personal care aides, for which OES will publish only the 2018 SOC broad occupation 31-1120 Home Health and Personal Care Aides.
The May 2019 OES estimates use the metropolitan area definitions delineated in Office of Management and Budget (OMB) Bulletin 17-01, which add a new Metropolitan Statistical Area (MSA) for Twin Falls, Idaho. For more information on the area definitions used in the May 2019 estimates, please see www.bls.gov/oes/current/msa_def.htm.
The Occupational Employment Statistics (OES) survey is a semiannual 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 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. OES data are available at www.bls.gov/oes/tables.htm.
The OES 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. OES estimates are constructed from a sample of about 1.1 million establishments. Each year, two semiannual panels of approximately 180,000 to 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 2019 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2019, November 2018, May 2018, November 2017, May 2017, and November 2016. The unweighted sampled employment of 83 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 71 percent based on establishments and 68 percent based on weighted sampled employment. The sample in the Beaumont-Port Arthur, TX Metropolitan Statistical Area included 1,709 establishments with a response rate of 57 percent. For more information about OES 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.
The May 2019 OES estimates are the first set of OES estimates to be based in part on survey data collected using the 2018 SOC. These estimates use a hybrid of the 2010 and 2018 SOC systems. More information on the hybrid classification system is available at www.bls.gov/oes/soc_2018.htm.
The May 2019 OES estimates are based on the 2017 North American Industry Classification System (NAICS). More information about the 2017 NAICS is available at www.bls.gov/bls/naics.htm.
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 Beaumont-Port Arthur, TX Metropolitan Statistical Area includes Hardin, Jefferson, Newton, and Orange Counties in Texas.
For more information
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.
Construction and extraction occupations
First-line supervisors of construction trades and extraction workers
Cement masons and concrete finishers
Operating engineers and other construction equipment operators
Drywall and ceiling tile installers
Insulation workers, floor, ceiling, and wall
Insulation workers, mechanical
Painters, construction and maintenance
Plumbers, pipefitters, and steamfitters
Reinforcing iron and rebar workers
Sheet metal workers
Structural iron and steel workers
Helpers-painters, paperhangers, plasterers, and stucco masons
Helpers-pipelayers, plumbers, pipefitters, and steamfitters
Helpers, construction trades, all other
Construction and building inspectors
Hazardous materials removal workers
Highway maintenance workers
Septic tank servicers and sewer pipe cleaners
Service unit operators, oil and gas
Excavating and loading machine and dragline operators, surface mining
Roustabouts, oil and gas
Last Modified Date: Monday, May 18, 2020