SOC major groups
These estimates are calculated with data collected from employers in all industry sectors in metropolitan and non-metropolitan areas in every State and the District of Columbia. These and other data elements, including the 10th, 25th, 75th, and 90th percentile wages are available in the downloadable Excel files(XLS).
Click on the SOC Code Number to view an occupational profile.
|SOC Code Number||Occupation Title||Employment (1)||Median Hourly||Mean Hourly||Mean Annual (2)||Mean RSE (3)|
|Farming, Fishing, and Forestry Occupations||460,820||$8.19||$9.76||$20,290||0.6 %|
|First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers||19,810||$17.09||$18.43||$38,340||0.9 %|
|Farm Labor Contractors||2,880||$8.10||$10.21||$21,230||3.9 %|
|Agricultural Inspectors||13,650||$14.01||$15.42||$32,070||1.3 %|
|Animal Breeders||1,520||$12.29||$14.73||$30,630||3.7 %|
|Graders and Sorters, Agricultural Products||51,960||$7.95||$8.64||$17,970||1.0 %|
|Agricultural Equipment Operators||20,440||$8.80||$9.68||$20,130||1.9 %|
|Farmworkers and Laborers, Crop, Nursery, and Greenhouse||236,710||$7.55||$8.01||$16,660||0.7 %|
|Farmworkers, Farm and Ranch Animals||42,290||$8.27||$9.01||$18,740||1.1 %|
|Forest and Conservation Workers||9,330||$9.39||$11.24||$23,380||1.5 %|
|Logging Equipment Operators||27,910||$13.37||$13.93||$28,970||1.8 %|
|Log Graders and Scalers||4,470||$12.89||$13.90||$28,910||2.2 %|
About November 2003 National, State, and Metropolitan Area Occupational Employment and Wage Estimates
Estimates for residual, "All Other", occupations are not available.
(1) 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.
(2) 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.
(3) 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.
National OES estimates by SOC major group
November 2003 National Occupational Employment and Wage Estimates
November 2003 State Occupational Employment and Wage Estimates
November 2003 Metropolitan Area Occupational Employment and Wage Estimates
November 2003 National Industry-Specific Occupational Employment and Wage Estimates
List of Occupations in SOC Code Number Order
List of Occupations in Alphabetical Order
Download November 2003 Occupational Employment and Wage Estimates in Zipped Excel files
Last Modified Date: November 24, 2004