Occupational Employment Statistics

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OES

2000 National Occupational Employment and Wage Estimates

Farming, Fishing, and Forestry Occupations

other SOC major groups

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 %

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

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.

National OES estimates by SOC major group