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Friday, July 08, 2016


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Occupational Employment and Wages in Baton Rouge, May 2015

Workers in the Baton Rouge Metropolitan Statistical Area had an average (mean) hourly wage of $21.01 in May 2015, about 10 percent below the nationwide average of $23.23, 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 14 of the 22 major occupational groups, including computer and mathematical; business and financial operations; and personal care and service. Local wages were measurably higher in 2 groups, including production, while wages in the remaining groups were not statistically different from their respective national averages.

When compared to the nationwide distribution, local employment was more highly concentrated in 5 of the 22 occupational groups, including construction and extraction; installation, maintenance, and repair; and protective service. Conversely, 12 groups had employment shares significantly below their national representation, including office and administrative support; computer and mathematical; and education, training, and library. (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 Metropolitan Statistical Area, and measures of statistical significance, May 2015
Major occupational group Percent of total employment Mean hourly wage
United States Baton Rouge United States Baton Rouge Percent

Total, all occupations

100.0% 100.0%   $23.23 $21.01 * -10


5.0 4.7 * 55.30 48.46 * -12

Business and financial operations

5.1 4.1 * 35.48 28.12 * -21

Computer and mathematical

2.9 1.6 * 41.43 29.58 * -29

Architecture and engineering

1.8 2.3 * 39.89 40.49   2

Life, physical, and social science

0.8 0.7 * 34.24 29.99 * -12

Community and social service

1.4 1.2 * 22.19 21.13   -5


0.8 0.6 * 49.74 39.60 * -20

Education, training, and library

6.2 5.0 * 25.48 25.00   -2

Arts, design, entertainment, sports, and media

1.3 1.3   27.39 30.88   13

Healthcare practitioners and technical

5.8 5.8   37.40 30.74 * -18

Healthcare support

2.9 2.8   14.19 11.78 * -17

Protective service

2.4 3.2 * 21.45 17.31 * -19

Food preparation and serving related

9.1 8.4 * 10.98 9.91 * -10

Building and grounds cleaning and maintenance

3.2 2.9 * 13.02 10.93 * -16

Personal care and service

3.1 3.4 * 12.33 9.91 * -20

Sales and related

10.5 9.8 * 18.90 15.70 * -17

Office and administrative support

15.8 14.1 * 17.47 15.73 * -10

Farming, fishing, and forestry

0.3 0.1 * 12.67 19.33 * 53

Construction and extraction

4.0 9.4 * 22.88 21.04 * -8

Installation, maintenance, and repair

3.9 5.0 * 22.11 21.58   -2


6.6 6.4   17.41 24.63 * 41

Transportation and material moving

6.9 7.3   16.90 17.31   2

(1) A positive percent difference measures how much the mean wage in Baton Rouge is above the national mean wage, while a negative difference reflects a lower wage.

Note: * 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–construction and extraction–was chosen to illustrate the diversity of data available for any of the 22 major occupational categories. Baton Rouge had 36,900 jobs in construction and extraction, accounting for 9.4 percent of local area employment, more than double the 4.0-percent national share. However, at $21.04 per hour, the local average hourly wage for this occupational group was about 8 percent below the national average of $22.88.

Some of the larger detailed occupations within the construction and extraction group included construction laborers (4,430), electricians (4,130), and first line supervisors of construction trades and extraction workers (3,700). At $30.80 per hour, first line supervisors of construction trades and extraction workers were also among the higher paying local jobs, as were construction and building inspectors at $28.10. At the lower end of the wage scale were carpenters’ helpers ($13.73) and electricians’ helpers ($14.96). (Detailed occupational data for construction and extraction are presented in table 1; for a complete listing of all occupations see

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 metropolitan 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 24.3 times the national rate in Baton Rouge, and mechanical insulation workers, at 23.9 times the U.S. average. Both location quotients were among the highest in all metropolitan areas for these particular occupations. On the other hand, oil and gas roustabouts had a location quotient of 1.1 in Baton Rouge, indicating that this 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 Louisiana Workforce Commission.

Notes on Occupational Employment Statistics Data

With the issuance of data for May 2015, the OES program has incorporated redefined metropolitan area definitions as designated by the Office of Management and Budget. OES data are available for 394 metropolitan areas, 38 metropolitan divisions, and 167 OES-defined nonmetropolitan areas. A listing of the areas and their definitions can be found at

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.

Technical Note

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 program produces employment and wage estimates for over 800 occupations for all industries combined in the nation; the 50 states and the District of Columbia; 432 metropolitan areas and divisions; 167 nonmetropolitan areas; and Guam, Puerto Rico, and the U.S. Virgin Islands. National estimates are also available by industry for NAICS sectors, 3-, 4-, and selected 5- and 6-digit industries, and by ownership across all industries and for schools and hospitals. OES data are available at

OES estimates are constructed from a sample of about 1.2 million establishments. Forms are mailed to approximately 200,000 sampled establishments in May and November each year. May 2015 estimates are based on responses from six semiannual panels collected over a 3-year period: May 2015, November 2014, May 2014, November 2013, May 2013, and November 2012. The overall national response rate for the six panels is 73.5 percent based on establishments and 69.6 percent based on weighted sampled employment. The unweighted employment of sampled establishments across all six semiannual panels represents approximately 57.9 percent of total national employment. (Response rates are slightly lower for these estimates due to the federal shutdown in October 2013.) The sample in the Baton Rouge Metropolitan Statistical Area included 3,248 establishments with a response rate of 76 percent. For more information about OES concepts and methodology, go to

The May 2015 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 and information about the 2012 NAICS is available at

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 Metropolitan Statistical Area (MSA) includes Ascension, East Baton Rouge, East Feliciana, Iberville, Livingston, Pointe Coupee, St. Helena, West Baton Rouge, and West Feliciana Parishes in Louisiana.

Additional information

OES data are available on our regional web page at Answers to frequently asked questions about the OES data are available at Detailed technical information about the OES survey is available in our Survey Methods and Reliability Statement on the BLS website at

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 from the Occupational Employment Statistics survey, by occupation, Baton Rouge Metropolitan Statistical Area, May 2015
Occupation(1) Employment Mean wages
Level(2) Location
Hourly Annual(4)

Construction and extraction occupations

36,900 2.4 $21.04 $43,760

First-line supervisors of construction trades and extraction workers

3,700 2.5 30.80 64,060


1,130 24.3 25.93 53,930

Brickmasons and blockmasons

130 0.8 20.42 42,470


3,450 1.9 18.67 38,830

Carpet installers

(5) (5) 16.52 34,350

Tile and marble setters

140 1.5 14.99 31,170

Cement masons and concrete finishers

560 1.2 19.24 40,030

Construction laborers

4,430 1.8 15.30 31,830

Operating engineers and other construction equipment operators

2,130 2.1 18.50 38,480

Drywall and ceiling tile installers

(5) (5) 23.22 48,290


4,130 2.5 24.74 51,450


(5) (5) 16.50 34,330

Insulation workers, mechanical

1,990 23.9 20.48 42,610

Painters, construction and maintenance

1,650 2.7 17.00 35,370


330 2.9 21.09 43,860

Plumbers, pipefitters, and steamfitters

3,260 2.9 22.78 47,370

Plasterers and stucco masons

(5) (5) 13.81 28,730

Reinforcing iron and rebar workers

(5) (5) 29.10 60,520


(5) (5) 18.22 37,890

Sheet metal workers

310 0.8 19.37 40,300

Structural iron and steel workers

1,250 6.8 26.13 54,360

Helpers-brickmasons, blockmasons, stonemasons, and tile and marble setters

120 1.8 13.77 28,650


610 5.7 13.73 28,570


1,130 5.6 14.96 31,110

Helpers-painters, paperhangers, plasterers, and stucco masons

(5) (5) 13.49 28,070

Helpers-pipelayers, plumbers, pipefitters, and steamfitters

1,000 6.4 15.04 31,270

Construction and building inspectors

390 1.5 28.10 58,450

Hazardous materials removal workers

160 1.3 19.73 41,050

Highway maintenance workers

290 0.7 15.03 31,270

Rail-track laying and maintenance equipment operators

260 6.2 26.21 54,510

Construction and related workers, all other

120 1.3 21.34 44,380

Rotary drill operators, oil and gas

50 0.7 23.94 49,800

Roustabouts, oil and gas

220 1.1 17.18 35,740

Helpers-extraction workers

230 3.6 17.21 35,790

(1) For a complete listing of all detailed occupations in the Baton Rouge MSA, see
(2) Estimates for detailed occupations do not sum to the totals because the totals include occupations 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) Estimates not released.


Last Modified Date: Friday, July 08, 2016