Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

News Release Information

20-1240-DAL
Tuesday, June 16, 2020

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

Occupational Employment and Wages in Baton Rouge – May 2019

Workers in the Baton Rouge, LA Metropolitan Statistical Area had an average (mean) hourly wage of $22.22 in May 2019, 14 percent below the nationwide average of $25.72, the U.S. Bureau of Labor Statistics reported today. Acting Regional Commissioner Michael Hirniak noted that, after testing for statistical significance, wages in the local area were lower than their respective national averages in 17 of the 22 major occupational groups, including legal, computer and mathematical, and business and financial operations.

When compared to the nationwide distribution, Baton Rougearea employment was more highly concentrated in 6 of the 22 occupational groups including construction and extraction, protective service, and installation, maintenance and repair. Of the 22 groups, 13 had employment shares significantly below their national representation, including computer and mathematical, office and administrative support, and business and financial operations. (See table A and box note at end of release.)

Table A. Occupational employment and wages by major occupational group, United States and the Baton Rouge, LA Metropolitan Statistical Area, and measures of statistical significance, May 2019
Major occupational groupPercent of total employmentMean hourly wage
United StatesBaton RougeUnited StatesBaton RougePercent difference (1)

Total, all occupations

100.0100.0$25.72$22.22*-14

Management

5.55.258.8847.78*-19

Business and financial operations

5.64.5*37.5628.95*-23

Computer and mathematical

3.11.5*45.0832.23*-29

Architecture and engineering

1.82.3*42.6940.42*-5

Life, physical, and social science

0.91.1*37.2831.87*-15

Community and social service

1.51.2*24.2724.10-1

Legal

0.80.752.7137.35*-29

Educational instruction and library

6.16.8*27.7522.13*-20

Arts, design, entertainment, sports, and media

1.41.0*29.7926.45*-11

Healthcare practitioners and technical

5.95.1*40.2133.42*-17

Healthcare support

4.44.0*14.9112.29*-18

Protective service

2.43.5*23.9818.39*-23

Food preparation and serving related

9.28.5*12.8210.26*-20

Building and grounds cleaning and maintenance

3.02.6*15.0311.88*-21

Personal care and service

2.21.7*15.0313.03*-13

Sales and related

9.89.3*20.7016.14*-22

Office and administrative support

13.311.9*19.7317.43*-12

Farming, fishing, and forestry

0.30.2*15.0714.90-1

Construction and extraction

4.210.3*25.2822.80*-10

Installation, maintenance, and repair

3.94.8*24.1024.502

Production

6.25.4*19.3027.32*42

Transportation and material moving

8.58.418.2317.53-4

Footnotes:
(1) A positive percent difference measures how much the mean wage in the Baton Rouge, LA Metropolitan Statistical 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 40,710 jobs in construction and extraction occupations, accounting for 10.3 percent of local area employment, significantly higher than the 4.2-percent national share. The local average hourly wage for this occupational group was $22.80, significantly lower than the national average of $25.28.

Some of the larger detailed occupations within the construction and extraction group included construction laborers (6,100), carpenters (5,120), and first-line supervisors of construction trades and extraction workers (4,980). Among the higher-paying jobs in this group were boilermakers and first-line supervisors of construction trades and extraction workers, with mean hourly wages of $29.99 and $29.93, respectively. At the lower end of the wage scale were electricians’ helpers ($14.84) and construction laborers ($17.06). (Detailed data for construction and extraction occupations are presented in table 1; for a complete listing of detailed occupations 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 detailed occupations within the construction and extraction group. For instance, mechanical insulation workers were employed at 21.4 times the national rate in the Baton Rouge area, and boilermakers, at 14.6 times the U.S. average. These two location quotients in Baton Rouge were among the highest in all the published metropolitan areas nationwide 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.

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.

For more information on the occupational classification system used in the May 2019 OES estimates, please see www.bls.gov/oes/soc_2018.htm and www.bls.gov/oes/oes_ques.htm#qf10.

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.


Technical Note

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 Baton Rouge, LA Metropolitan Statistical Area included 3,024 establishments with a response rate of 73 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 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 OES data are available at www.bls.gov/oes/oes_ques.htm. Detailed information about the OES program is available at www.bls.gov/oes/oes_doc.htm.

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.

Table 1. Employment and wage data for construction and extraction occupations, Baton Rouge, LA Metropolitan Statistical Area, May 2019
Occupation (1)EmploymentMean wages
Level (2)Location quotient (3)HourlyAnnual (4)

Construction and extraction occupations

40,7102.4$22.80$47,420

First-line supervisors of construction trades and extraction workers

4,9803.029.9362,260

Boilermakers

62014.629.9962,380

Brickmasons and blockmasons

(5)(5)21.4544,620

Carpenters

5,1202.623.0247,880

Tile and stone setters

600.620.1441,890

Cement masons and concrete finishers

2500.521.8345,410

Construction laborers

6,1002.217.0635,480

Pile driver operators

10010.625.0952,180

Operating engineers and other construction equipment operators

2,6202.424.3550,640

Electricians

3,8102.124.6251,200

Insulation workers, floor, ceiling, and wall

1,11012.321.9845,720

Insulation workers, mechanical

1,54021.423.5348,940

Painters, construction and maintenance

1,7402.820.4742,570

Pipelayers

1301.415.5532,350

Plumbers, pipefitters, and steamfitters

3,6603.127.4257,030

Plasterers and stucco masons

(5)(5)15.3031,820

Reinforcing iron and rebar workers

2705.330.7563,960

Roofers

700.221.2444,190

Sheet metal workers

5701.623.2648,390

Structural iron and steel workers

4902.425.0052,010

Helpers-carpenters

4505.118.2337,910

Helpers-electricians

1,1105.214.8430,870

Helpers-painters, paperhangers, plasterers, and stucco masons

33011.415.3331,890

Helpers-pipelayers, plumbers, pipefitters, and steamfitters

6003.818.0437,520

Helpers, construction trades, all other

1,74022.715.9433,140

Construction and building inspectors

2000.728.4859,230

Hazardous materials removal workers

2201.818.8539,220

Rail-track laying and maintenance equipment operators

1403.328.4859,230

Miscellaneous construction and related workers

1,48017.122.2846,350

Rotary drill operators, oil and gas

(5)(5)23.1448,130

Excavating and loading machine and dragline operators, surface mining

(5)(5)21.6645,050

Earth drillers, except oil and gas; and explosives workers, ordnance handling experts, and blasters

400.719.4240,380

Footnotes:
(1) For a complete listing of all detailed occupations in the Baton Rouge, LA Metropolitan Statistical 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: Tuesday, June 16, 2020