Occupational Employment and Wages, May 2017

47-2043 Floor Sanders and Finishers

Scrape and sand wooden floors to smooth surfaces using floor scraper and floor sanding machine, and apply coats of finish.


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)
4,320 10.7 % $18.87 $39,260 2.9 %

Percentile wage estimates for this occupation:

Percentile 10% 25% 50%
(Median)
75% 90%
Hourly Wage $11.37 $14.05 $17.77 $22.55 $27.96
Annual Wage (2) $23,640 $29,220 $36,950 $46,900 $58,160


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:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Building Finishing Contractors 3,570 0.45 $18.82 $39,140
Residential Building Construction 80 0.01 $17.48 $36,360
Other Wood Product Manufacturing 60 0.03 $20.03 $41,660

Industries with the highest concentration of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Building Finishing Contractors 3,570 0.45 $18.82 $39,140
Other Wood Product Manufacturing 60 0.03 $20.03 $41,660
Residential Building Construction 80 0.01 $17.48 $36,360

Top paying industries for this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Highway, Street, and Bridge Construction (8) (8) $31.16 $64,810
Home Furnishings Stores (8) (8) $23.35 $48,560
Other Wood Product Manufacturing 60 0.03 $20.03 $41,660
Building Finishing Contractors 3,570 0.45 $18.82 $39,140
Residential Building Construction 80 0.01 $17.48 $36,360


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)
Wisconsin 570 0.20 6.61 $16.41 $34,130
California 400 0.02 0.79 $24.75 $51,480
Massachusetts 260 0.07 2.46 $18.07 $37,580
Washington 250 0.08 2.55 $21.63 $45,000
Colorado 240 0.10 3.15 $19.13 $39,800




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)
Wisconsin 570 0.20 6.61 $16.41 $34,130
Wyoming 40 0.15 4.92 $16.16 $33,610
Colorado 240 0.10 3.15 $19.13 $39,800
Arkansas 130 0.10 3.46 $14.20 $29,530
Washington 250 0.08 2.55 $21.63 $45,000




Top paying States for this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
Illinois (8) (8) (8) $27.15 $56,470
Arizona 90 0.03 1.04 $25.45 $52,930
California 400 0.02 0.79 $24.75 $51,480
New Jersey (8) (8) (8) $23.83 $49,570
Vermont (8) (8) (8) $23.47 $48,810



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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)
Little Rock-North Little Rock-Conway, AR 90 0.26 8.57 $12.42 $25,830
Phoenix-Mesa-Scottsdale, AZ 40 0.02 0.72 $28.59 $59,460
Wilmington, NC 30 0.25 8.26 $16.52 $34,370


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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)
Little Rock-North Little Rock-Conway, AR 90 0.26 8.57 $12.42 $25,830
Wilmington, NC 30 0.25 8.26 $16.52 $34,370
Phoenix-Mesa-Scottsdale, AZ 40 0.02 0.72 $28.59 $59,460


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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)
Phoenix-Mesa-Scottsdale, AZ 40 0.02 0.72 $28.59 $59,460
Los Angeles-Long Beach-Glendale, CA Metropolitan Division (8) (8) (8) $26.15 $54,390
Colorado Springs, CO (8) (8) (8) $18.55 $38,580
Silver Spring-Frederick-Rockville, MD Metropolitan Division (8) (8) (8) $17.67 $36,750
Milwaukee-Waukesha-West Allis, WI (8) (8) (8) $16.58 $34,490
Wilmington, NC 30 0.25 8.26 $16.52 $34,370
Lancaster, PA (8) (8) (8) $15.49 $32,230
Albuquerque, NM (8) (8) (8) $15.49 $32,230
New York-Jersey City-White Plains, NY-NJ Metropolitan Division (8) (8) (8) $15.23 $31,680
Green Bay, WI (8) (8) (8) $14.19 $29,510


About May 2017 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 2017 National Occupational Employment and Wage Estimates

May 2017 State Occupational Employment and Wage Estimates

May 2017 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

May 2017 National Industry-Specific Occupational Employment and Wage Estimates

May 2017 Occupation Profiles

Technical Notes

 

Last Modified Date: March 30, 2018