OES Publications by Topic

See also OES Publications by Type

Areas

• Occupational Employment and Wage Patterns in Nonmetropolitan Areas; John Jones, November 2011 (HTML) (PDF)
• Area Focus - Riverside-San Bernardino-Ontario, CA; Tanner Beam, August 2011 (HTML) (PDF)
• Gulf Coast Occupational Employment and Wages; Swati Patel, October 2010 (HTML) (PDF)
• Occupational employment patterns in areas with low unemployment rates; Ben Cover, September 2009 (HTML) (PDF)
• Area focus - Elkhart-Goshen, IN; July 2009 (HTML) (PDF)
• OES Maps
• See also Location Quotient

Career

• Careers with options: Occupations with jobs in many industries by Elka Torpey and Audrey Watson, Spring 2014
• Using OES occupation profiles in a job search by Chris Cunningham, Spring 2013
• Mapping out a career: An analysis of geographic concentration of occupations by Audrey Watson, Fall 2010
• Career beginnings for business majors by Dina Itkin, Winter 2008-09

Industries

• Agriculture: occupational employment and wages by Stella Fayer, July 2014
  • Agricultural Sector's Estimates, November 2011
• Measuring occupational concentration by industry; Audrey Watson, February 2014 (HTML) (PDF)
• An Occupational Comparison of Private and State Colleges and Universities; Audrey Watson, January 2011 (HTML) (PDF)
• An Occupational Analysis of Industries with Employment Gains; Fatemeh Hajiha and Audrey Watson, February 2010 (HTML) (PDF)
• An Occupational Comparison of Selected Retail Trade Industries; Joe Kane, December 2009 (HTML) (PDF)
• An Occupational Analysis of Industries with the Most Job Losses; Fatemeh Hajiha and Audrey Watson, November 2009 (HTML) (PDF)
• Industry focus - Food services and drinking places; Rebecca Keller, September 2009 (HTML) (PDF)
• Occupational employment in the not-for-profit sector by Zack Warren, November 2008
• Largest occupations in each industry
• Industries with the highest levels of employment for each occupation

Location Quotient

• Mapping "The Hunger Games": Using location quotients to find the Districts of Panem by Elizabeth Cross, February 2017
• Using Location Quotients to Analyze Occupational Data; Ben Cover, April 2011 (HTML) (PDF)
• Occupations with the highest location quotients in each area
• States with the highest location quotients for each occupation
• Areas with the highest location quotients for each occupation
• See also Areas

Occupations

• Employment trends by typical entry-level education requirement by Audrey L. Watson, September 2017
• Employment and Wages in Healthcare Occupations; Stella Fayer and Audrey Watson, December 2015 (HTML) (PDF)
• Spotlight on Statistics: BLS Statistics by Occupation; Audrey Watson, August 2014 (HTML) (PDF)
• Implementing the 2010 Standard Occupational Classification in the Occupational Employment Statistics program by Audrey Watson, May 2013
• Employment and wages in community and social service occupations; John Jones, October 2012 (HTML) (PDF)
• Architecture and Engineering Occupations; Audrey Watson, February 2012 (HTML) (PDF)
• Construction employment: a visual essay by Ben Cover, November 2011
• Medical physicists and health physicists: Radiation occupations by Jeff Lapointe, Summer 2011
• How occupational employment is affected by mass layoffs by Dina Itkin and Laurie Salmon, June 2011
• House work: Jobs in residential upkeep by Amy Bierer, Winter 2010-11
• Jobs on the Environment; June 2009 (HTML) (PDF)
• SOC Home Page
• See also Wages

STEM

The STEM definition used in most of these publications is only one of many possible definitions of STEM. For the purpose of these publications, STEM is defined to consist of 100 occupations, including computer and mathematical, architecture and engineering, and life and physical science occupations, as well as managerial and postsecondary teaching occupations related to these functional areas and sales occupations requiring scientific or technical knowledge at the postsecondary level.

A list of occupations included in this STEM definition is available at www.bls.gov/oes/stem_list.xlsx. Guidance on alternative definitions can be found under “2010 SOC Crosswalks” at www.bls.gov/soc.

• STEM data sets
• STEM occupations: past, present, and future; Stella Fayer, Alan Lacey and Audrey Watson, January 2017 (HTML) (PDF)
• An overview of employment and wages in science, technology, engineering, and math (STEM) groups; John Jones, April 2014 (HTML) (PDF)
• Science, technology, engineering, and mathematics (STEM) occupations: a visual essay by Ben Cover, John Jones, and Audrey Watson, May 2011
• Metropolitan areas with the highest and lowest employment shares of STEM occupations, May 2016

Wages

• The Game of Life versus real life: How the data compare by Elizabeth Cross, June 2018
• Purchasing power: using wage statistics with regional price parities to create a standard for comparing wages across U.S. areas by Ben Cover, April 2016
• How much could I be earning? Using Occupational Employment Statistics data during salary negotiations
• Measuring wage inequality within and across U.S. metropolitan areas, 2003-13 by J. Chris Cunningham, September 2015
• Wage differentials: how jobseekers can use them to analyze occupational wage and cost of living data by U.S. area; Ben Cover, September 2014 (HTML) (PDF)
• How Jobseekers and Employers Can Use Occupational Employment Statistics (OES) Data during Wage and Salary Discussions; Clayton Lindsay, April 2010 (HTML) (PDF)
• What do OES data have to say about increasing wage inequality? by John Jones, June 2009
• How shifting occupational composition has affected the real average wage by Rebecca Keller, June 2009
• The effect of business ownership change on occupational employment and wages by Dina Itkin, September 2008
• Beyond averages: Other ways to look at occupational wages by Ben Cover, Winter 2007-08
• Establishment wage differentials by Julia Lane, Laurie Salmon, and Jim Spletzer, April 2007

 

Last Modified Date: January 3, 2019