OES Charts
About Charts and Maps
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/featured.png)
Charts highlighting selected industry, occupation, and area data for May 2011.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/area_lq_chart.png)
For any state or area, this chart will show which occupations are most concentrated relative to the national average. To get started, click on the chart to the right, choose a state, then an area within the state or statewide. The chart will then show the occupations with the highest location quotients (1) in that area.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/area_emp_chart.png)
The largest occupations in the US include retail salespersons, cashiers, and general office clerks. To find the largest occupations in any area, click the chart to the right; select a state, then an area within the state or statewide.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/ind_emp_chart.png)
Each industry has a unique combination of workers. To see the largest occupations in each industry, click the chart on the right. You can select a particular sector for a broader combination of industries, or select detailed industries within each sector from the second drop down menu.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/occ_ind_emp_chart.png)
Some occupations, such as general office clerks are found in a large number of industries, others, such as avionics technicians, are concentrated in a smaller number of industries. To see the industries with the largest employment for over 800 occupations, click the chart to the right.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/occ_state_emp_chart.png)
The larger states, including California, New York, and Texas have the most employment for many occupations. However, some occupations, such as logging equipment operators and tire builders have more employment in some smaller states.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/occ_state_lq_chart.png)
Location quotients (1) are a convenient and useful tool for analyzing differences in the mix of occupations in states and metropolitan areas. While many occupations have most of their employment in large states, this measure shows the areas in which an occupation is most prevalent relative to the national average. LQs are the ratio of the area’s 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. To see the states with the highest location quotient, click the chart to the right.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/occ_area_emp_chart.png)
Like large states, large metropolitan areas account for most of the employment for many occupations. Some occupations, such as ship engineers are found in smaller areas.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/occ_area_lq_chart.png)
Some occupations, like gaming dealers, are concentrated in a few geographic areas, others, like coaches and scouts are concentrated in a mix of metropolitan and nonmetropolitan areas. To see the areas with the highest location quotient (1) of each occupation, click the chart to the right.
![](https://webarchive.library.unt.edu/web/20130225104818im_/http://stats.bls.gov/oes/maps.gif)
This mapping tool allows the user to first select a major occupational group, then a detailed occupation, and show either a State or MSA map by employment, location quotient (1), or mean wage.
(1) 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.