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.
Click on the SOC Code Number to view that occupation's definition, additional wage estimates, and relative standard error (RSE) estimates.
|
Wage Estimates |
| SOC Code Number |
Occupation Title |
Employment |
Median Hourly |
Mean Hourly |
Mean Annual (1)
|
Mean RSE |
| 45-0000 |
Farming, Fishing, and Forestry Occupations |
460,700 |
$7.34 |
$9.07 |
$18,860 |
0.7 % |
| 45-1011
|
First-Line Supervisors/Managers of Farming, Fishing, and Forestry Workers |
21,350 |
$15.43 |
$16.72 |
$34,780 |
1.1 % |
| 45-1012
|
Farm Labor Contractors |
8,290 |
$6.82 |
$8.95 |
$18,620 |
7.5 % |
| 45-2011
|
Agricultural Inspectors |
12,210 |
$13.75 |
$14.72 |
$30,620 |
2.3 % |
| 45-2021
|
Animal Breeders |
1,680 |
$10.28 |
$12.11 |
$25,200 |
4.5 % |
| 45-2041
|
Graders and Sorters, Agricultural Products |
56,210 |
$7.11 |
$8.00 |
$16,640 |
1.1 % |
| 45-2091
|
Agricultural Equipment Operators |
23,230 |
$7.68 |
$8.66 |
$18,020 |
2.0 % |
| 45-2092
|
Farmworkers and Laborers, Crop, Nursery, and Greenhouse |
215,150 |
$6.64 |
$7.21 |
$15,000 |
0.8 % |
| 45-2093
|
Farmworkers, Farm and Ranch Animals |
36,270 |
$7.61 |
$8.18 |
$17,010 |
1.0 % |
| 45-4011
|
Forest and Conservation Workers |
9,990 |
$8.97 |
$10.45 |
$21,730 |
2.2 % |
| 45-4021
|
Fallers |
9,910 |
$12.33 |
$14.59 |
$30,350 |
5.6 % |
| 45-4022
|
Logging Equipment Operators |
34,180 |
$12.07 |
$12.47 |
$25,930 |
2.6 % |
| 45-4023
|
Log Graders and Scalers |
5,470 |
$13.07 |
$13.81 |
$28,730 |
1.3 % |
Estimates for residual, "All Other", occupations are not available.
(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.
