Occupational Employment and Wages, May 2016
35-2013 Cooks, Private Household
Prepare meals in private homes. Includes personal chefs.
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:
Percentile wage estimates for this occupation:
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:
Industries with the highest concentration of employment in this occupation:
Top paying industries for this occupation:
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:
States with the highest concentration of jobs and location quotients in this occupation:
Top paying States for this occupation:
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.
(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:
Last Modified Date: March 31, 2017