News Release Information
Tuesday, June 25, 2019
Occupational Employment and Wages in Chattanooga — May 2018
Workers in the Chattanooga Metropolitan Statistical Area had an average (mean) hourly wage of $21.10 in May 2018, about 16 percent below the nationwide average of $24.98, according to the U.S. Bureau of Labor Statistics. Regional Commissioner Janet S. Rankin noted that, after testing for statistical significance, 20 of the 22 major occupational groups had average wages in the local area that were significantly lower than their respective national averages, including life, physical, and social science; business and financial operations; and management. One group—farming, fishing, and forestry—had a significantly higher wage than its respective national average.
When compared to the nationwide distribution, local employment was more highly concentrated in 5 of the 22 occupational groups, including production; transportation and material moving; and healthcare practitioners and technical. Conversely, 10 groups had employment shares significantly below their national representation, including personal care and service; construction and extraction; and computer and mathematical. (See table A and box note at end of release.)
|Major occupational group||Percent of total employment||Mean hourly wage|
|United States||Chattanooga||United States||Chattanooga||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
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
One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Chattanooga had 25,410 jobs in production, accounting for 10.3 percent of local area employment, significantly higher than the 6.3-percent share nationally. The average hourly wage for this occupational group locally was $16.97, significantly below the national wage of $18.84.
Some of the larger detailed occupations within the production group included assemblers and fabricators, all other, including team assemblers (4,940); first-line supervisors of production and operating workers (1,680); and welders, cutters, solderers, and brazers (1,600). Among the higher-paying jobs in this group were power plant operators and first-line supervisors of production and operating workers, with mean hourly wages of $34.69 and $26.24, respectively. At the lower end of the wage scale were laundry and dry-cleaning workers ($9.83) and sewing machine operators ($11.22). (Detailed data for production occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_16860.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 Chattanooga Metropolitan Statistical Area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, textile knitting and weaving machine setters, operators, and tenders were employed at 20.1 times the national rate in Chattanooga, and structural metal fabricators and fitters, at 5.1 times the U.S. average. On the other hand, inspectors, testers, sorters, samplers, and weighers had a location quotient of 1.1 in Chattanooga, 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 Tennessee Department of Labor & Workforce Development.
Area Changes to the May 2018 Occupational Employment Statistics (OES)
OES continues to publish data for metropolitan and nonmetropolitan areas that cover the full geography of the United States. However, the level of detail available has decreased.
OES no longer publishes data for metropolitan divisions. Data for the 11 large metropolitan areas that contain divisions are now available at the Metropolitan Statistical Area (MSA) or New England City and Town Area (NECTA) level only.
In addition, some smaller nonmetropolitan areas have been combined to form larger nonmetropolitan areas. The May 2018 OES estimates contain data for 134 nonmetropolitan areas, compared with 167 nonmetropolitan areas in the May 2017 estimates.
More information on these area changes is available at www.bls.gov/oes/areas_2018.htm.
Implementing the 2018 Standard Occupational Classification (SOC) System
The OES program plans to begin implementing the 2018 Standard Occupational Classification (SOC) system with the May 2019 estimates, to be released by early April of 2020. Because each set of OES estimates is produced by combining three years of survey data, estimates for May 2019 and May 2020 will be based on a combination of survey data collected under the 2010 SOC and data collected under the 2018 SOC, and will use a hybrid of the two classification systems. The May 2021 OES estimates, to be released by early April of 2022, will be the first set of estimates based fully on the 2018 SOC. For more information, please see www.bls.gov/oes/soc_2018.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 1.2 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 2018 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2018, November 2017, May 2017, November 2016, May 2016, and November 2015. The unweighted sample employment of 83 million across all six semiannual panels represents approximately 58 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 Chattanooga Metropolitan Statistical Area included 2,656 establishments with a response rate of 71 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 2018 OES estimates are based on the 2010 Standard Occupational Classification (SOC) system and the 2017 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 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 Chattanooga, TN-GA Metropolitan Statistical Area includes Catoosa, Dade, and Walkers Counties in Georgia; Hamilton, Marion, and Sequatchie Counties in Tennessee.
OES data are available on our regional web page at www.bls.gov/regions/southeast. 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.
|Occupation (1)||Employment||Mean wages|
|Level (2)||Location quotient (3)||Hourly||Annual (4)|
First-line supervisors of production and operating workers
Electrical, electronic, and electromechanical assemblers, except coil winders, tapers, and finishers
Structural metal fabricators and fitters
Assemblers and fabricators, all other, including team assemblers
Butchers and meat cutters
Food processing workers, all other
Computer-controlled machine tool operators, metal and plastic
Extruding and drawing machine setters, operators, and tenders, metal and plastic
Cutting, punching, and press machine setters, operators, and tenders, metal and plastic
Grinding, lapping, polishing, and buffing machine tool setters, operators, and tenders, metal and plastic
Molding, coremaking, and casting machine setters, operators, and tenders, metal and plastic
Multiple machine tool setters, operators, and tenders, metal and plastic
Tool and die makers
Welders, cutters, solderers, and brazers
Plating and coating machine setters, operators, and tenders, metal and plastic
Metal workers and plastic workers, all other
Prepress technicians and workers
Printing press operators
Print binding and finishing workers
Laundry and dry-cleaning workers
Sewing machine operators
Textile cutting machine setters, operators, and tenders
Textile knitting and weaving machine setters, operators, and tenders
Textile winding, twisting, and drawing out machine setters, operators, and tenders
Cabinetmakers and bench carpenters
Woodworking machine setters, operators, and tenders, except sawing
Power plant operators
Water and wastewater treatment plant and system operators
Chemical equipment operators and tenders
Separating, filtering, clarifying, precipitating, and still machine setters, operators, and tenders
Crushing, grinding, and polishing machine setters, operators, and tenders
Grinding and polishing workers, hand
Mixing and blending machine setters, operators, and tenders
Cutting and slicing machine setters, operators, and tenders
Extruding, forming, pressing, and compacting machine setters, operators, and tenders
Inspectors, testers, sorters, samplers, and weighers
Dental laboratory technicians
Ophthalmic laboratory technicians
Packaging and filling machine operators and tenders
Coating, painting, and spraying machine setters, operators, and tenders
Painters, transportation equipment
Painting, coating, and decorating workers
Cleaning, washing, and metal pickling equipment operators and tenders
Cooling and freezing equipment operators and tenders
Molders, shapers, and casters, except metal and plastic
Production workers, all other
Last Modified Date: Tuesday, June 25, 2019