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News Release Information

21-1280-DAL
Wednesday, July 14, 2021

Contacts Technical information: Media contact:
  • (972) 850-4800

Occupational Employment and Wages in Baton Rouge — May 2020

Workers in the Baton Rouge, LA Metropolitan Statistical Area had an average (mean) hourly wage of $23.68 in May 2020, about 13 percent below the nationwide average of $27.07, the U.S. Bureau of Labor Statistics reported today. Regional Commissioner Michael Hirniak noted that, after testing for statistical significance, production was the only major occupational group with wages in the local area higher than its respective national average. Seventeen groups had significantly lower wages than their respective national averages, including protective service, computer and mathematical, and business and financial operations.

When compared to the nationwide distribution, Baton Rouge area employment was more highly concentrated in 6 of the 22 occupational groups, including construction and extraction, educational instruction and library, and protective service. Twelve groups had employment shares significantly below their national representation, including computer and mathematical, office and administrative support, and business and financial operations. (See table A.)

Table A. Occupational employment and wages by major occupational group, United States and the Baton Rouge metropolitan area, and measures of statistical significance, May 2020
Major occupational groupPercent of total employmentMean hourly wage
United StatesBaton RougeUnited StatesBaton RougePercent difference (1)

Total, all occupations

100.0100.0$27.07$23.68*-13

Management

5.75.960.8149.26*-19

Business and financial operations

6.05.0*38.7929.67*-24

Computer and mathematical

3.31.5*46.5335.02*-25

Architecture and engineering

1.82.4*43.4143.500

Life, physical, and social science

0.91.1*38.1534.74*-9

Community and social service

1.61.3*25.0923.98*-4

Legal

0.80.854.0038.90*-28

Educational instruction and library

6.17.2*28.7523.33*-19

Arts, design, entertainment, sports, and media

1.31.0*30.9628.20-9

Healthcare practitioners and technical

6.25.8*41.3033.96*-18

Healthcare support

4.64.0*15.5012.48*-19

Protective service

2.43.5*25.1118.81*-25

Food preparation and serving related

8.17.6*13.3010.64*-20

Building and grounds cleaning and maintenance

2.92.5*15.7512.78*-19

Personal care and service

1.91.7*15.6813.12*-16

Sales and related

9.49.122.0017.29*-21

Office and administrative support

13.311.8*20.3818.07*-11

Farming, fishing, and forestry

0.30.2*16.0216.523

Construction and extraction

4.38.8*25.9324.53*-5

Installation, maintenance, and repair

3.94.6*25.1725.853

Production

6.15.5*20.0829.25*46

Transportation and material moving

8.78.519.0818.01*-6

(1) A positive percent difference measures how much the mean wage in the Baton Rouge metropolitan area is above the national mean wage, while a negative difference reflects a lower wage.
* The mean hourly wage or percent share of employment 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. Baton Rouge had 32,780 jobs in construction and extraction, accounting for 8.8 percent of local area employment, significantly higher than the 4.3-percent share nationally. The average hourly wage for this occupational group locally was $24.53, significantly below the national wage of $25.93.

Some of the larger detailed occupations within the construction and extraction group included construction laborers (4,900), first-line supervisors of construction trades and extraction workers (4,210), and carpenters (3,930). Among the higher-paying jobs in this group were first-line supervisors of construction trades and extraction workers and also boilermakers, with mean hourly wages of $32.17 and $32.01, respectively. At the lower end of the wage scale were pipelayers ($16.16) and construction laborers ($17.93). (Detailed data for the construction and extraction occupations are presented in table 1; for a complete listing of detailed occupations available go to www.bls.gov/oes/current/oes_12940.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 Baton Rouge area, above-average concentrations of employment were found in many of the occupations within the construction and extraction group. For instance, boilermakers were employed at 14.3 times the national rate in Baton Rouge, and floor, ceiling, and wall insulation workers, at 12.5 times the U.S. average. Cement masons and concrete finishers had a location quotient of 0.4 in Baton Rouge, indicating that this particular occupation’s local employment share was lower than the national employment share.

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 Louisiana Workforce Commission.

Occupational Employment and Wage Statistics (OEWS) Name Change

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 Statistics

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.

Implementing the 2018 Standard Occupational Classification (SOC) System

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.

Upcoming Changes to the Occupational Employment and Wage Statistics Methodology

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.


Technical Note

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 Baton Rouge, LA Metropolitan Statistical Area included 2,905 establishments with a response rate of 68 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 Baton Rouge, LA Metropolitan Statistical Area includes Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, West Baton Rouge, and West Feliciana Parishes.

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.

Table 1. Employment and wage data for construction and extraction occupations, Baton Rouge metropolitan area, May 2020
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Construction and extraction occupations

32,7802.1$24.53$51,010

First-line supervisors of construction trades and extraction workers

4,2102.632.1766,920

Boilermakers

54014.332.0166,580

Brickmasons and blockmasons

2701.722.7747,360

Carpenters

3,9302.124.7451,460

Tile and stone setters

(5)(5)20.7043,060

Cement masons and concrete finishers

2200.423.7849,470

Construction laborers

4,9001.917.9337,290

Pile driver operators

807.927.7657,740

Operating engineers and other construction equipment operators

2,6602.525.4953,020

Drywall and ceiling tile installers

(5)(5)16.1833,650

Electricians

3,1401.826.1654,410

Insulation workers, floor, ceiling, and wall

1,09012.522.7547,310

Insulation workers, mechanical

85011.526.0354,140

Painters, construction and maintenance

9001.521.3944,490

Pipelayers

1101.216.1633,610

Plumbers, pipefitters, and steamfitters

3,2302.929.3861,100

Plasterers and stucco masons

(5)(5)14.9030,990

Roofers

900.322.3546,480

Sheet metal workers

4501.323.7649,430

Structural iron and steel workers

3702.027.1656,490

Helpers--electricians

8204.218.5238,520

Helpers--painters, paperhangers, plasterers, and stucco masons

2409.415.7132,680

Helpers--pipelayers, plumbers, pipefitters, and steamfitters

6604.518.6338,740

Helpers, construction trades, all other

1,02013.717.1135,580

Construction and building inspectors

4101.329.0760,470

Hazardous materials removal workers

1901.619.2840,100

Highway maintenance workers

(5)(5)14.6730,510

Rail-track laying and maintenance equipment operators

1102.424.1850,290

Miscellaneous construction and related workers

5806.824.1450,210

Rotary drill operators, oil and gas

300.824.7851,540

Excavating and loading machine and dragline operators, surface mining

2001.823.4148,700

Underground mining machine operators and extraction workers, all other

601.917.2035,780

(1) For a complete listing of all detailed occupations in the Baton Rouge metropolitan area, see www.bls.gov/oes/current/oes_12940.htm.
(2) Estimates for detailed occupations may not sum to the totals due to rounding, and because the totals may include occupations that are not shown separately. Estimates do not include self-employed workers.
(3) The location quotient is the ratio of the area concentration of occupational employment to the national average concentration. A location quotient greater than one indicates the occupation has a higher share of employment than average, and a location quotient less than one indicates the occupation is less prevalent in the area than average.
(4) Annual wages have been calculated by multiplying the hourly mean wage by a "year-round, full-time" hours figure of 2,080 hours; for those occupations where there is not an hourly mean wage published, the annual wage has been directly calculated from the reported survey data.
(5) Estimate not released.

 

Last Modified Date: Wednesday, July 14, 2021