Occupational Employment and Wage Statistics
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About May 2023 National Industry-Specific Occupational Employment and
Wage Estimates
The May 2023 OEWS National
Industry-Specific 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 data are used to calculate industry-specific
occupational employment and wage estimates for sectors, 3-, 4-, and
selected 5- and 6-digit North American Industry Classification System
(NAICS) industry groups. The May 2023 estimates are based on the 2022 NAICS. For more information
about NAICS, see the NAICS page.
The industry-specific occupational employment and wage estimates for a
particular industry are calculated with data collected from establishments
in that industry. Self-employed persons are not included in the survey or
estimates. Since 1999, the OEWS program has used the Standard Occupational Classification (SOC) system.
The National Industry-Specific 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 occupational employment
(not including self-employed) for that industry.
- 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.
- Percent of Total: a percentage expressing the
estimated occupational employment divided by the estimated total
industry employment, for that industry.
- Median Hourly Wage: the estimated 50th percentile
of the distribution of wages based on data collected from employers in
that industry; 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, for that industry.
- Mean Annual Wage: the estimated total annual wages
of an occupation divided by its estimated employment, i.e., the average
annual wage, for that industry.
- 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.
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