Subscribe
to the OES Update
|
Occupational Employment and Wages, May 2018
37-3013 Tree Trimmers and Pruners
Using sophisticated climbing and rigging techniques, cut away dead or excess branches from trees or shrubs to maintain right-of-way for roads, sidewalks, or utilities, or to improve appearance, health, and value of tree. Prune or treat trees or shrubs using handsaws, hand pruners, clippers, and power pruners. Works off the ground in the tree canopy and may use truck-mounted lifts. Excludes workers who primarily perform duties of "Pesticide Handlers, Sprayers, and Applicators, Vegetation" (37-3012) and "Landscaping and Groundskeeping Workers" (37-3011).
National estimates for this occupation
Industry profile for this occupation
Geographic profile for this occupation
National estimates for this occupation: Top
Employment estimate and mean wage estimates for this occupation:
| Employment (1) |
Employment
RSE (3) |
Mean hourly
wage |
Mean annual
wage (2) |
Wage RSE (3) |
| 42,440 |
5.3 % |
$19.47 |
$40,510 |
1.4 % |
Percentile wage estimates for this occupation:
| Percentile |
10% |
25% |
50%
(Median) |
75% |
90% |
| Hourly Wage |
$11.70 |
$14.57 |
$18.36 |
$23.88 |
$29.48 |
| Annual Wage (2) |
$24,330 |
$30,300 |
$38,190 |
$49,680 |
$61,310 |
Industry profile for this occupation: Top
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:
Industries with the highest concentration of employment in this occupation:
Top paying industries for this occupation:
Geographic profile for this occupation: Top
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 |
6,840 |
0.40 |
1.37 |
$23.08 |
$48,010 |
| Texas |
3,150 |
0.26 |
0.89 |
$15.69 |
$32,630 |
| Pennsylvania |
3,030 |
0.52 |
1.77 |
$17.08 |
$35,530 |
| Florida |
2,810 |
0.33 |
1.11 |
$14.50 |
$30,150 |
| New York |
2,030 |
0.22 |
0.74 |
$25.08 |
$52,170 |
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) |
| Vermont |
370 |
1.20 |
4.10 |
$19.02 |
$39,560 |
| New Hampshire |
700 |
1.08 |
3.68 |
$20.06 |
$41,710 |
| Alaska |
280 |
0.90 |
3.07 |
$24.02 |
$49,970 |
| South Dakota |
280 |
0.66 |
2.26 |
$18.02 |
$37,480 |
| West Virginia |
360 |
0.52 |
1.76 |
$16.48 |
$34,270 |
Top paying States for this occupation:
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) |
| Los Angeles-Long Beach-Anaheim, CA |
2,300 |
0.38 |
1.28 |
$25.92 |
$53,910 |
| Houston-The Woodlands-Sugar Land, TX |
1,740 |
0.58 |
1.99 |
$15.08 |
$31,370 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV |
1,680 |
0.54 |
1.83 |
$23.00 |
$47,850 |
| New York-Newark-Jersey City, NY-NJ-PA |
1,430 |
0.15 |
0.51 |
$27.56 |
$57,330 |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD |
1,140 |
0.40 |
1.36 |
$17.82 |
$37,070 |
| Dallas-Fort Worth-Arlington, TX |
1,030 |
0.29 |
0.98 |
$16.62 |
$34,580 |
| St. Louis, MO-IL |
1,020 |
0.75 |
2.56 |
$20.23 |
$42,070 |
| Miami-Fort Lauderdale-West Palm Beach, FL |
880 |
0.34 |
1.16 |
$15.76 |
$32,780 |
| Boston-Cambridge-Nashua, MA-NH |
750 |
0.27 |
0.92 |
$22.82 |
$47,460 |
| San Francisco-Oakland-Hayward, CA |
720 |
0.30 |
1.02 |
$22.16 |
$46,080 |
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) |
| Lawrence, KS |
70 |
1.34 |
4.55 |
$17.32 |
$36,020 |
| Santa Cruz-Watsonville, CA |
110 |
1.13 |
3.86 |
$20.69 |
$43,040 |
| Florence-Muscle Shoals, AL |
50 |
0.90 |
3.08 |
$16.99 |
$35,350 |
| Oklahoma City, OK |
550 |
0.88 |
3.01 |
$14.79 |
$30,760 |
| St. Louis, MO-IL |
1,020 |
0.75 |
2.56 |
$20.23 |
$42,070 |
| Visalia-Porterville, CA |
100 |
0.62 |
2.13 |
$17.70 |
$36,810 |
| Houston-The Woodlands-Sugar Land, TX |
1,740 |
0.58 |
1.99 |
$15.08 |
$31,370 |
| Washington-Arlington-Alexandria, DC-VA-MD-WV |
1,680 |
0.54 |
1.83 |
$23.00 |
$47,850 |
| Little Rock-North Little Rock-Conway, AR |
160 |
0.47 |
1.59 |
$14.64 |
$30,460 |
| Knoxville, TN |
170 |
0.45 |
1.52 |
$19.25 |
$40,050 |
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) |
| Charlottesville, VA |
(8) |
(8) |
(8) |
$29.26 |
$60,870 |
| Kahului-Wailuku-Lahaina, HI |
(8) |
(8) |
(8) |
$27.99 |
$58,210 |
| New York-Newark-Jersey City, NY-NJ-PA |
1,430 |
0.15 |
0.51 |
$27.56 |
$57,330 |
| Seattle-Tacoma-Bellevue, WA |
520 |
0.26 |
0.89 |
$27.39 |
$56,960 |
| Minneapolis-St. Paul-Bloomington, MN-WI |
(8) |
(8) |
(8) |
$27.19 |
$56,560 |
| Lewiston-Auburn, ME |
(8) |
(8) |
(8) |
$26.27 |
$54,640 |
| Eugene, OR |
(8) |
(8) |
(8) |
$26.19 |
$54,470 |
| Los Angeles-Long Beach-Anaheim, CA |
2,300 |
0.38 |
1.28 |
$25.92 |
$53,910 |
| Chicago-Naperville-Elgin, IL-IN-WI |
240 |
0.05 |
0.17 |
$25.57 |
$53,180 |
| Kansas City, MO-KS |
150 |
0.14 |
0.47 |
$25.12 |
$52,240 |
Nonmetropolitan areas with the highest employment in this occupation:
Nonmetropolitan areas with the highest concentration of jobs and location quotients in this occupation:
Top paying nonmetropolitan areas for this occupation:
About May 2018 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.
(7) The value is less than .005 percent of industry employment.
(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 2018 National Occupational Employment and Wage Estimates
May 2018 State Occupational Employment and Wage Estimates
May 2018 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates
May 2018 National Industry-Specific Occupational Employment and Wage Estimates
May 2018 Occupation Profiles
Technical Notes
Last Modified Date: March 29, 2019
|
United States Department of Labor
