Wednesday, July 26, 2017
Workers in the Lake Charles Metropolitan Statistical Area had an average (mean) hourly wage of $18.98 in May 2016, about 20 percent below the nationwide average of $23.86, according to the U.S. Bureau of Labor Statistics. Assistant Commissioner for Regional Operations Stanley W. Suchman noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 18 of the 22 major occupational groups, including legal; computer and mathematical; and healthcare practitioners and technical. Two groups had wages that were measurably higher than their respective national averages, while wages in the two remaining groups were not statistically different from the U.S. averages.
When compared to the nationwide distribution, local employment was more highly concentrated in 7 of the 22 occupational groups, including construction and extraction; installation, maintenance, and repair; and production. Conversely, nine groups had employment shares significantly below their national representation, including office and administrative support; business and financial operations; and computer and mathematical. (See table A and box note 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
Education, training, 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
* 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–production–was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Lake Charles had 8,260 jobs in production, accounting for 8.1 percent of local area employment, measurably higher than the 6.5-percent national share. More importantly, the local average hourly wage for this occupational group was $24.61, nearly 40 percent above the national production average of $17.88.
Some of the larger detailed occupations within the Lake Charles production group included welders, cutters, solderers, and brazers (1,600), chemical plant and system operators (1,040), and inspectors, testers, sorters, samplers, and weighers (810). Among the higher-paying jobs were first-line supervisors of production and operating workers, as well as chemical plant and system operators, with mean hourly wages of $35.24 and $34.44, respectively. At the lower end of the wage scale were laundry and dry cleaning workers ($9.02) and bakers ($10.37). (Detailed occupational data for construction and extraction workers are presented in table 1; for a complete listing of detailed occupations go to www.bls.gov/oes/current/oes_29340.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 Lake Charles metropolitan area, above average concentrations of employment were found in many of the occupations within the production group. For instance, chemical plant and system operators were employed at 42.7 times the national average in Lake Charles, and petroleum pump system operators, refinery operators, and gaugers, at 15.9 times the national rate. Both location quotients were among the highest in all metropolitan areas for these particular occupations.
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 Louisiana Workforce Commission.
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 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 www.bls.gov/oes/tables.htm.
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 2016 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2016, November 2015, May 2015, November 2014, May 2014, and November 2013. The overall national response rate for the six panels, based on the 50 states and the District of Columbia, is 73 percent based on establishments and 69 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 58 percent of total national employment. The sample in the Lake Charles Metropolitan Statistical Area included 1,324 establishments with a response rate of 77 percent. For more information about OES concepts and methodology, go to www.bls.gov/news.release/ocwage.tn.htm.
The May 2016 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 www.bls.gov/soc and information about the 2012 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 Lake Charles Metropolitan Statistical Area includes Calcasieu and Cameron Parishes in Louisiana.
OES data are available on our regional web page at www.bls.gov/regions/southwest. Answers to frequently asked questions about the OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at www.bls.gov/oes/current/methods_statement.pdf.
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.
First-line supervisors of production and operating workers
Structural metal fabricators and fitters
Assemblers and fabricators, all other
Butchers and meat cutters
Welders, cutters, solderers, and brazers
Laundry and dry-cleaning workers
Water and wastewater treatment plant and system operators
Chemical plant and system operators
Petroleum pump system operators, refinery operators, and gaugers
Chemical equipment operators and tenders
Crushing, grinding, and polishing machine setters, operators, and tenders
Mixing and blending machine setters, operators, and tenders
Inspectors, testers, sorters, samplers, and weighers
Ophthalmic laboratory technicians
Packaging and filling machine operators and tenders
Painters, transportation equipment
Production workers, all other
Last Modified Date: Wednesday, July 26, 2017