2000 National Occupational Employment and Wage Estimates

47-2061 Construction Laborers

Perform tasks involving physical labor at building, highway, and heavy construction projects, tunnel and shaft excavations, and demolition sites. May operate hand and power tools of all types: air hammers, earth tampers, cement mixers, small mechanical hoists, surveying and measuring equipment, and a variety of other equipment and instruments. May clean and prepare sites, dig trenches, set braces to support the sides of excavations, erect scaffolding, clean up rubble and debris, and remove asbestos, lead, and other hazardous waste materials. May assist other craft workers. Exclude construction laborers who primarily assist a particular craft worker, and classify them under "Helpers, Construction Trades" (47-3011 through 47-3016).

These estimates are calculated with data collected from employers in all industry divisions in metropolitan and non-metropolitan areas in every State and the District of Columbia.

Employment estimate and mean wage estimates for this occupation:

Employment 821,210 RSE = 1.5 %
Mean hourly wage $12.95 RSE = 0.6 %
Mean annual wage $26,940 RSE = 0.6 %
   (1)

Percentile wage estimates for this occupation:

Percentile 10% 25% 50%
(Median) 		75% 90%
Hourly Wage $7.22 $8.79 $11.15 $16.23 $21.88
Annual Wage $15,020 $18,290 $23,200 $33,760 $45,510
   (1)

About 2000 National, State, and Metropolitan Area Occupational Employment and Wage Estimates

Percentile wage estimates show what percentage of workers in an occupation earn less than a given wage and what percentage earn more. The median wage is the 50th percentile wage estimate—50 percent of workers earn less than the median and 50 percent of workers earn more than the median. More about percentile wages.


(1) 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.

The relative standard error (RSE) is a measure of the reliability of a survey statistic. The smaller the relative standard error, the more precise the estimate.

All Construction and Extraction Occupations

2000 National Occupational Employment and Wage Estimates

2000 State Occupational Employment and Wage Estimates

2000 Metropolitan Area Occupational Employment and Wage Estimates

2000 National Industry-Specific Occupational Employment and Wage Estimates

Technical notes

List of Occupations in SOC Code Number Order

List of Occupations in Alphabetical Order

 

Last Modified Date: November 15, 2001