Occupational Employment and Wage Statistics
Welcome to the step-by-step guide on how to use the Occupational Employment and Wage Statistics query system
- Selecting a table type
- Selecting a geographic type
- Selecting an occupation
- Selecting an industry
- Selecting a datatype
- Selecting a year
- Selecting an output type
Selecting a table type
![Select a Table type](/images/gqt/oes_table_type.gif)
There are four table types:
- Multiple occupations for one geographical area will provide cross-industry estimates at the National, State, or Metropolitan area level for all selected occupations.
- One occupation for multiple geographical areas will provide cross-industry estimates at the National, State, or Metropolitan area level for one occupation.
- Multiple occupations for one industry will provide estimates for one or more occupations within one industry at the National level.
- One occupation for multiple industries will provide estimates for one occupation within one or more industries at the National level.
Selecting a geographic type
![Select an Area](/images/gqt/oes_area.gif)
Cross-industry estimates are available at the National, State, and Metropolitan area level. Industry-specific estimates are available only at the National level.
Selecting an occupation
![Select an occupation](/images/gqt/oes_occupation.gif)
Estimates are available for over 800 Standard Occupational Classification (SOC) occupations.
Selecting an industry
![Select an industry](/images/gqt/oes_industry.gif)
Estimates are available for over 1000 North American Industry Classification System (NAICS) industries.
Selecting a datatype
![Select a datatype](/images/gqt/oes_datatype.gif)
The National, State, and Metropolitan Area Occupational Employment and Wage Estimates consist of the following:
- SOC Code Number: the Standard Occupational Classification (SOC) system's unique, six-digit numerical identifier for each occupation.
- Occupation Title: a descriptive title that corresponds to the SOC code.
- Employment: the estimated total occupational employment (not including self-employed).
- 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. For example, the average hourly wage.
- Mean Annual Wage: the estimated total annual wages of an occupation divided by its estimated employment. For example, 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.
- 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.
- 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% of workers (in a given occupation in a given area) earn less than $15.00; therefore 75% of workers earn more than $15.00.
- 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.
Selecting a year
![Select a year](/images/gqt/oes_year.gif)
The most recently released data will be provided.
Selecting an output type
![Select an output type](/images/gqt/oes_output.gif)
The output types are:
- "Generate HTML table" which will create an HTML table on screen.
- "Generate Excel table" which will create an Excel file (.xlsx). You will be prompted to save or open the output.
Last modified: March 31, 2021
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