Occupational Employment and Wages, May 2012

49-9093 Fabric Menders, Except Garment

Repair tears, holes, and other defects in fabrics, such as draperies, linens, parachutes, and tents.


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)
770 15.8 % $13.72 $28,540 5.2 %

Percentile wage estimates for this occupation:

Percentile 10% 25% 50%
(Median)
75% 90%
Hourly Wage $8.50 $10.19 $12.99 $16.22 $20.54
Annual Wage (2) $17,690 $21,190 $27,020 $33,730 $42,720


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)
Textile Furnishings Mills 310 0.59 $15.02 $31,230
Other Textile Product Mills 150 0.22 $13.21 $27,480
Fabric Mills 100 0.18 $13.51 $28,110

Industries with the highest concentration of employment in this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Textile Furnishings Mills 310 0.59 $15.02 $31,230
Other Textile Product Mills 150 0.22 $13.21 $27,480
Fabric Mills 100 0.18 $13.51 $28,110

Top paying industries for this occupation:

Industry Employment (1) Percent of industry employment Hourly mean wage Annual mean wage (2)
Textile Furnishings Mills 310 0.59 $15.02 $31,230
Fabric Mills 100 0.18 $13.51 $28,110
Other Textile Product Mills 150 0.22 $13.21 $27,480
Personal and Household Goods Repair and Maintenance (8) (8) $10.53 $21,910


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)
Georgia 280 0.07 12.44 $12.00 $24,960
North Carolina 60 0.02 2.73 $12.04 $25,030
Connecticut 60 0.04 6.31 $13.11 $27,270
South Carolina 50 0.03 4.70 $13.36 $27,800




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)
Georgia 280 0.07 12.44 $12.00 $24,960
Connecticut 60 0.04 6.31 $13.11 $27,270
South Carolina 50 0.03 4.70 $13.36 $27,800
North Carolina 60 0.02 2.73 $12.04 $25,030




Top paying States for this occupation:

State Employment (1) Employment per thousand jobs Location quotient (9) Hourly mean wage Annual mean wage (2)
South Carolina 50 0.03 4.70 $13.36 $27,800
Connecticut 60 0.04 6.31 $13.11 $27,270
North Carolina 60 0.02 2.73 $12.04 $25,030
Georgia 280 0.07 12.44 $12.00 $24,960



About May 2012 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 mean 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 2012 National Occupational Employment and Wage Estimates

May 2012 State Occupational Employment and Wage Estimates

May 2012 Metropolitan and Nonmetropolitan Area Occupational Employment and Wage Estimates

May 2012 National Industry-Specific Occupational Employment and Wage Estimates

May 2012 Occupation Profiles

Technical Notes

 

Last Modified Date: March 29, 2013