Department of Labor Logo United States Department of Labor
Dot gov

The .gov means it's official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you're on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Occupational Employment and Wage Statistics

Occupational Employment and Wages, May 2019

33-2022 Forest Fire Inspectors and Prevention Specialists

Enforce fire regulations, inspect forest for fire hazards, and recommend forest fire prevention or control measures. May report forest fires and weather conditions.


National estimates for this occupation
Industry profile for this occupation
Geographic profile for this occupation

National estimates for this occupation:

Employment estimate and mean wage estimates for this occupation:

Employment (1) Employment
RSE (3)
Mean hourly
wage
Mean annual
wage (2)
Wage RSE (3)
2,160 2.0 % $25.65 $53,350 1.3 %

Percentile wage estimates for this occupation:

Percentile 10% 25% 50%
(Median)
75% 90%
Hourly Wage $13.50 $16.23 $21.77 $33.21 $43.13
Annual Wage (2) $28,090 $33,760 $45,270 $69,080 $89,710


Industry profile for this occupation:

Industries with the highest published employment and wages for this occupation are provided. For a list of all industries with employment in this occupation, see the Create Customized Tables function.

Industries with the highest levels of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
State Government, excluding schools and hospitals (OES Designation) 1,130 0.05 $18.84 $39,190
Local Government, excluding schools and hospitals (OES Designation) 880 0.02 $35.16 $73,140

Industries with the highest concentration of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
State Government, excluding schools and hospitals (OES Designation) 1,130 0.05 $18.84 $39,190
Local Government, excluding schools and hospitals (OES Designation) 880 0.02 $35.16 $73,140

Top paying industries for this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Local Government, excluding schools and hospitals (OES Designation) 880 0.02 $35.16 $73,140
State Government, excluding schools and hospitals (OES Designation) 1,130 0.05 $18.84 $39,190


Geographic profile for this occupation:

States and areas with the highest published employment, location quotients, and wages for this occupation are provided. For a list of all areas with employment in this occupation, see the Create Customized Tables function.





States with the highest employment level in this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 390 0.02 1.52 $41.56 $86,450
Georgia 390 0.09 5.88 $17.18 $35,740
Arkansas 200 0.16 10.95 $17.73 $36,870
Massachusetts 100 0.03 1.82 $27.05 $56,270
Texas 100 0.01 0.53 $31.56 $65,640




States with the highest concentration of jobs and location quotients in this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Arkansas 200 0.16 10.95 $17.73 $36,870
Georgia 390 0.09 5.88 $17.18 $35,740
New Hampshire 30 0.05 3.21 $19.11 $39,750
Utah 40 0.03 1.99 $24.92 $51,830
Massachusetts 100 0.03 1.82 $27.05 $56,270




Top paying States for this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
California 390 0.02 1.52 $41.56 $86,450
Ohio 30 0.01 0.41 $32.91 $68,440
Oregon 30 0.02 1.24 $31.89 $66,330
New Jersey 30 0.01 0.55 $31.57 $65,670
Texas 100 0.01 0.53 $31.56 $65,640





Metropolitan areas with the highest employment level in this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Boston-Cambridge-Nashua, MA-NH 80 0.03 1.87 $26.71 $55,560
Los Angeles-Long Beach-Anaheim, CA 70 0.01 0.78 $43.04 $89,520
Riverside-San Bernardino-Ontario, CA 60 0.04 2.53 $37.21 $77,390
San Francisco-Oakland-Hayward, CA 50 0.02 1.39 $45.87 $95,410
Atlanta-Sandy Springs-Roswell, GA 50 0.02 1.22 $17.79 $37,000
San Diego-Carlsbad, CA 40 0.03 1.87 $36.73 $76,390
Houston-The Woodlands-Sugar Land, TX 30 0.01 0.74 $25.92 $53,910




Metropolitan areas with the highest concentration of jobs and location quotients in this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Riverside-San Bernardino-Ontario, CA 60 0.04 2.53 $37.21 $77,390
Boston-Cambridge-Nashua, MA-NH 80 0.03 1.87 $26.71 $55,560
San Diego-Carlsbad, CA 40 0.03 1.87 $36.73 $76,390
San Francisco-Oakland-Hayward, CA 50 0.02 1.39 $45.87 $95,410
Atlanta-Sandy Springs-Roswell, GA 50 0.02 1.22 $17.79 $37,000
Los Angeles-Long Beach-Anaheim, CA 70 0.01 0.78 $43.04 $89,520
Houston-The Woodlands-Sugar Land, TX 30 0.01 0.74 $25.92 $53,910




Top paying metropolitan areas for this occupation:

Metropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
San Francisco-Oakland-Hayward, CA 50 0.02 1.39 $45.87 $95,410
Los Angeles-Long Beach-Anaheim, CA 70 0.01 0.78 $43.04 $89,520
Riverside-San Bernardino-Ontario, CA 60 0.04 2.53 $37.21 $77,390
San Diego-Carlsbad, CA 40 0.03 1.87 $36.73 $76,390
Dallas-Fort Worth-Arlington, TX (8) (8) (8) $31.63 $65,780
Boston-Cambridge-Nashua, MA-NH 80 0.03 1.87 $26.71 $55,560
Houston-The Woodlands-Sugar Land, TX 30 0.01 0.74 $25.92 $53,910
Atlanta-Sandy Springs-Roswell, GA 50 0.02 1.22 $17.79 $37,000

Nonmetropolitan areas with the highest employment in this occupation:

Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
South Georgia nonmetropolitan area 100 0.53 36.26 $17.31 $36,000
South Arkansas nonmetropolitan area 60 0.65 44.56 $17.11 $35,600
Southeast Mississippi nonmetropolitan area 60 0.37 25.31 $13.80 $28,710
East Georgia nonmetropolitan area 40 0.51 34.83 $16.86 $35,060
Northeast Mississippi nonmetropolitan area 40 0.18 12.19 $13.98 $29,080

Nonmetropolitan areas with the highest concentration of jobs and location quotients in this occupation:

Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
South Arkansas nonmetropolitan area 60 0.65 44.56 $17.11 $35,600
South Georgia nonmetropolitan area 100 0.53 36.26 $17.31 $36,000
East Georgia nonmetropolitan area 40 0.51 34.83 $16.86 $35,060
West Arkansas nonmetropolitan area 40 0.48 32.46 $19.38 $40,300
Southeast Mississippi nonmetropolitan area 60 0.37 25.31 $13.80 $28,710

Top paying nonmetropolitan areas for this occupation:

Nonmetropolitan area Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
West Arkansas nonmetropolitan area 40 0.48 32.46 $19.38 $40,300
Middle Georgia nonmetropolitan area 40 0.29 19.76 $17.88 $37,180
South Georgia nonmetropolitan area 100 0.53 36.26 $17.31 $36,000
South Arkansas nonmetropolitan area 60 0.65 44.56 $17.11 $35,600
East Georgia nonmetropolitan area 40 0.51 34.83 $16.86 $35,060


About May 2019 National, State, Metropolitan, and Nonmetropolitan Area Occupational Employment and Wage Estimates

These estimates are calculated with data collected from employers in all industry sectors, all metropolitan and nonmetropolitan areas, and all states and the District of Columbia. The top employment and wage figures are provided above. The complete list is available in the downloadable XLS files.

The percentile wage estimate is the value of a wage below which a certain percent of workers fall. 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) 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 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.

(8) Estimate not released.

(9) 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.


Other OES estimates and related information:

May 2019 National Occupational Employment and Wage Estimates

May 2019 State Occupational Employment and Wage Estimates

May 2019 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

May 2019 National Industry-Specific Occupational Employment and Wage Estimates

May 2019 Occupation Profiles

Technical Notes

 

Last Modified Date: July 6, 2020