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Wednesday, July 21, 2021
Workers in the Dalton, GA Metropolitan Statistical Area had an average (mean) hourly wage of $20.25 in May 2020, about 25 percent below the nationwide average of $27.07, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Janet S. Rankin noted that, after testing for statistical significance, 19 of the 22 major occupational groups had average wages in the local area that were significantly lower than their respective national averages, including construction and extraction, management, and healthcare practitioners and technical. Two group had wages that were not significantly different from their respective national averages.
When compared to the nationwide distribution, Dalton area employment was more highly concentrated in 3 of the 22 occupational groups: production; transportation and material moving; and installation, maintenance, and repair. Seventeen groups had employment shares significantly below their national representation, including business and financial operations, educational instruction and library, and food preparation and serving related. (See table A.)
Major occupational group | Percent of total employment | Mean hourly wage | |||
---|---|---|---|---|---|
United States | Dalton | United States | Dalton | Percent difference (1) | |
Total, all occupations |
100.0 | 100.0 | $27.07 | $20.25* | -25 |
Management |
5.7 | 4.4* | 60.81 | 48.17* | -21 |
Business and financial operations |
6.0 | 2.8* | 38.79 | 31.44* | -19 |
Computer and mathematical |
3.3 | 1.2* | 46.53 | 37.58* | -19 |
Architecture and engineering |
1.8 | 1.0* | 43.41 | 33.31* | -23 |
Life, physical, and social science |
0.9 | 0.5* | 38.15 | 27.50* | -28 |
Community and social service |
1.6 | 1.1* | 25.09 | 20.01* | -20 |
Legal |
0.8 | 0.3* | 54.00 | 40.83* | -24 |
Educational instruction and library |
6.1 | 3.6* | 28.75 | 21.65* | -25 |
Arts, design, entertainment, sports, and media |
1.3 | 0.7* | 30.96 | 23.95* | -23 |
Healthcare practitioners and technical |
6.2 | 5.1* | 41.30 | 36.02* | -13 |
Healthcare support |
4.6 | 2.9* | 15.50 | 16.44 | 6 |
Protective service |
2.4 | 1.4* | 25.11 | 20.69* | -18 |
Food preparation and serving related |
8.1 | 5.8* | 13.30 | 10.79* | -19 |
Building and grounds cleaning and maintenance |
2.9 | 1.3* | 15.75 | 14.83 | -6 |
Personal care and service |
1.9 | 1.0* | 15.68 | 11.81* | -25 |
Sales and related |
9.4 | 8.7 | 22.00 | 17.39* | -21 |
Office and administrative support |
13.3 | 12.2* | 20.38 | 17.54* | -14 |
Farming, fishing, and forestry |
0.3 | (2) | 16.02 | (2) | |
Construction and extraction |
4.3 | 2.2* | 25.93 | 20.14* | -22 |
Installation, maintenance, and repair |
3.9 | 5.6* | 25.17 | 21.51* | -15 |
Production |
6.1 | 24.2* | 20.08 | 16.13* | -20 |
Transportation and material moving |
8.7 | 13.7* | 19.08 | 16.57* | -13 |
Footnotes: |
One occupational group—production—was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Dalton had 14,550 jobs in production occupations, accounting for 24.2 percent of local area employment, significantly higher than the 6.1-percent national share. The local average hourly wage for this occupational group was $16.13, significantly lower than the national average of $20.08.
Some of the larger detailed occupations within the production group included textile winding, twisting, and drawing out machine setters, operators, and tenders (3,510); textile knitting and weaving machine setters, operators, and tenders (1,770); and first-line supervisors of production and operating workers (1,110). Among the higher-paying jobs in this group were first-line supervisors of production and operating workers and also machinists, with mean hourly wages of $25.58 and $19.60, respectively. At the lower end of the wage scale were bakers ($11.43) and printing press operators ($11.69). (Detailed data for the production occupations are presented in table 1; for a complete listing of detailed occupations, go to www.bls.gov/oes/current/oes_19140.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 Dalton area, above-average concentrations of employment were found in many of the occupations within the production group. For instance, textile winding, twisting, and drawing out machine setters, operators, and tenders were employed at 319.4 times the national rate in Dalton, and textile knitting and weaving machine setters, operators, and tenders, at 218.2 times the U.S. average. Miscellaneous assemblers and fabricators had a location quotient of 1.1 in Dalton, 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 Georgia 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.
Coronavirus (COVID-19) Impact on May 2020 Occupational Employment and Wage StatisticsDue 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.
Implementing the 2018 Standard Occupational Classification (SOC) SystemWith 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.
Upcoming Changes to the Occupational Employment and Wage Statistics MethodologyWith 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 Dalton, GA Metropolitan Statistical Area included 791 establishments with a response rate of 74 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 Dalton, GA Metropolitan Statistical Area includes Murray and Whitfield Counties.
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; Federal Relay Service: (800) 877-8339.
Occupation (1) | Employment | Mean wages | ||
---|---|---|---|---|
Level (2) | Location quotient (3) | Hourly | Annual (4) | |
Production occupations |
14,550 | 4.0 | $16.13 | $33,550 |
First-line supervisors of production and operating workers |
1,110 | 4.3 | 25.58 | 53,210 |
Miscellaneous assemblers and fabricators |
570 | 1.1 | 14.99 | 31,170 |
Bakers |
40 | 0.5 | 11.43 | 23,780 |
Butchers and meat cutters |
30 | 0.6 | 12.64 | 26,290 |
Extruding and drawing machine setters, operators, and tenders, metal and plastic |
90 | 3.1 | 16.28 | 33,860 |
Cutting, punching, and press machine setters, operators, and tenders, metal and plastic |
90 | 1.2 | 16.34 | 33,990 |
Machinists |
240 | 1.6 | 19.60 | 40,770 |
Welders, cutters, solderers, and brazers |
190 | 1.1 | 17.21 | 35,800 |
Printing press operators |
320 | 4.6 | 11.69 | 24,300 |
Print binding and finishing workers |
110 | 6.2 | 14.60 | 30,370 |
Sewing machine operators |
660 | 13.0 | 13.66 | 28,420 |
Textile bleaching and dyeing machine operators and tenders |
260 | 84.2 | 17.93 | 37,290 |
Textile cutting machine setters, operators, and tenders |
530 | 96.8 | 15.11 | 31,430 |
Textile knitting and weaving machine setters, operators, and tenders |
1,770 | 218.2 | 15.42 | 32,080 |
Textile winding, twisting, and drawing out machine setters, operators, and tenders |
3,510 | 319.4 | 15.41 | 32,040 |
Extruding and forming machine setters, operators, and tenders, synthetic and glass fibers |
780 | 113.6 | 16.39 | 34,090 |
Textile, apparel, and furnishings workers, all other |
690 | 97.2 | 11.65 | 24,240 |
Cabinetmakers and bench carpenters |
140 | 3.5 | 16.81 | 34,960 |
Water and wastewater treatment plant and system operators |
40 | 0.7 | 20.64 | 42,930 |
Chemical equipment operators and tenders |
120 | 2.9 | 16.86 | 35,070 |
Mixing and blending machine setters, operators, and tenders |
330 | 6.6 | 17.60 | 36,610 |
Cutting and slicing machine setters, operators, and tenders |
90 | 3.9 | 12.78 | 26,590 |
Extruding, forming, pressing, and compacting machine setters, operators, and tenders |
50 | 1.7 | 15.66 | 32,580 |
Inspectors, testers, sorters, samplers, and weighers |
840 | 3.6 | 16.61 | 34,550 |
Ophthalmic laboratory technicians |
(5) | (5) | 16.88 | 35,100 |
Packaging and filling machine operators and tenders |
180 | 1.1 | 14.79 | 30,760 |
Coating, painting, and spraying machine setters, operators, and tenders |
160 | 2.7 | 13.46 | 28,000 |
Paper goods machine setters, operators, and tenders |
150 | 3.4 | 17.82 | 37,060 |
Helpers--production workers |
190 | 1.9 | 14.42 | 29,990 |
Production workers, all other |
(5) | (5) | 13.34 | 27,740 |
Footnotes: |
Last Modified Date: Wednesday, July 21, 2021