Occupational Employment and Wage Statistics
SHARE ON:

  					
      About May 2023 National, State, Metropolitan, and Nonmetropolitan Area
      Occupational Employment and Wage Estimates
      The National, State, Metropolitan, and
      Nonmetropolitan Area Occupational Employment and Wage Estimates are
      calculated from data collected in a national survey of employers. Data on
      occupational employment and wages are collected from employers of every
      size, in every state, in metropolitan and nonmetropolitan areas, in all
      industry sectors. These estimates are cross-industry estimates; each
      occupation's employment and wage estimates are calculated from data
      collected from employers in all industry sectors. Self-employed persons
      are not included in the survey or estimates. The May 2023 OEWS estimates
      are based on the 2018 Standard Occupational Classification (SOC)
      system and the Office of Management and
      Budget's revised metropolitan area
      definitions, based on the results of the 2010 decennial census.
      The National, State, Metropolitan, and Nonmetropolitan Area
      Occupational Employment and Wage Estimates consist of the following: 
      
        - SOC Code Number: the Standard Occupational
        Classification (SOC) system's unique, six-digit (plus hyphen) numerical
        identifier for each occupation. When the SOC code is a link,
        clicking on it leads to a page that contains the occupational definition
        and national cross-industry estimates.
        
- Occupation Title: a descriptive title that
        corresponds to the SOC code.
        
- Group: the level of occupational detail (major
        group, minor group, broad level, detailed).
        
- Employment: the estimated total occupational
        employment (not including self-employed).
        
- Employment RSE: the Relative Standard Error of the
        employment estimate, a measure of the reliability or precision of the
        employment estimate. The relative standard error is defined as the ratio
        of the standard error to the survey estimate. For example, a relative
        standard error of 10 percent implies that the standard error is
        one-tenth as large as the survey estimate.
        
- Employment per 1000 jobs: the number of jobs
        (employment) in the given occupation per 1,000 jobs in the given area.
        
- Location Quotient: (State, metropolitan, and
        nonmetropolitan statistical area estimates only) the ratio of an
        occupation's share of employment in a given area to that occupation's
        share of employment in the U.S. as a whole. For example, an occupation
        that makes up 10 percent of employment in a specific metropolitan area
        compared with 2 percent of U.S. employment would have a location
        quotient of 5 for the area in question.
        
- Median Hourly Wage: the estimated 50th percentile
        of the distribution of wages based on data collected from employers in
        all industries; 50 percent of workers in an occupation earn less than
        the median wage, and 50 percent earn more than the median wage.
        
- Mean Hourly Wage: the estimated total hourly wages
        of an occupation divided by its estimated employment, i.e., the average
        hourly wage.
        
- Mean Annual Wage: the estimated total annual wages
        of an occupation divided by its estimated employment, i.e., the average
        annual wage.
        
- Mean RSE: the relative standard error of the mean
        wage estimates, a measure of the reliability or precision of the mean
        wage estimates. The relative standard error is defined as the ratio of
        the standard error to the survey estimate. For example, a relative
        standard error of 10 percent implies that the standard error is
        one-tenth as large as the survey estimate.
        
- Percentile Wage Estimates: (National estimates
        only) A percentile wage estimate shows what percentage of workers in an
        occupation earn less than a given wage and what percentage earn more.
        For example, a 25th percentile wage of $15.00 indicates that 25 percent
        of workers (in a given occupation in a given area) earn less than
        $15.00; therefore 75 percent of workers earn more than $15.00. More
        about percentile wages. 
For more information about the OEWS program and estimates, see the Frequently Asked Questions.
      May 2023 National Occupational Employment and
      Wage Estimates
      May 2023 State Occupational Employment and Wage
      Estimates
      May 2023 Metropolitan and Nonmetropolitan Area
      Occupational Employment and Wage Estimates
      May 2023 National Industry-Specific Occupational
      Employment and Wage Estimates
      May 2023 Occupation Profiles
      Technical Notes
 
Last Modified Date: April 3, 2024