Highlights from the May 2016 Occupational Employment Statistics data Audrey Watson Economist Occupational Employment Statistics June 6, 2017

Occupational Employment Statistics Employment and wage estimates by occupation Joint BLS/state program Employer/establishment survey Sample comes from state unemployment insurance (UI) database Statistically representative by industry and area Total sample size 1.2 million business establishments, collected over 3-year period Sample covers approximately 81 million jobs, representing 58 percent of U.S. employment

Coverage and classification Excludes private households and most of agricultural sector Also excludes military and self employed Within federal government, includes executive branch and U.S. Postal Service only (excludes legislative and judicial branches) Industries defined by North American Industry Classification System (NAICS) Occupations defined by Standard Occupational Classification (SOC) system

Data elements produced Data by occupation for over 800 occupations: Employment Mean and percentile wages (both hourly and annual for most occupations) Measures of sampling error

Estimates available Cross-industry occupational employment and wage estimates by geographic area Nearly 600 metropolitan and nonmetropolitan areas States, District of Columbia, and selected U.S. territories Nation Industry-specific estimates—national level only Over 430 industry aggregations National estimates by ownership (public/private) Estimates for STEM and non-STEM occupations Estimates by typical entry-level educational requirement

DOL uses of OES data Within BLS: Foreign Labor Certification Occupational employment projections Occupational Outlook Handbook Occupational injury and illness incidence rates Employment Cost Index Foreign Labor Certification Service Contract Act CareerOneStop O*NET Employment Standards Administration

State uses of OES data Assisting employers: By improving the alignment of education and training with the needs of business In helping to build a skilled workforce to meet hiring demands In making business location decisions In selecting wage/pay scales relative to local competitive levels Assisting career counselors with reemployment and job placement for students, job seekers, and dislocated workers Assisting economic development with labor supply for business recruitment

Other users of OES data Federal government: Center for Medicare and Medicaid Services, President’s Pay Agent, Bureau of Economic Analysis Private sector/individuals: Human resources professionals, students, job seekers, guidance and career counselors, academic researchers, media

Accessing OES data Main OES data page: www.bls.gov/oes/tables.htm Each type of data (national, state, metropolitan/nonmetropolitan area, industry, ownership) available in separate XLS files or on HTML pages “All data” file available in XLS or TXT format Data search tool: www.bls.gov/oes/data.htm Create customized tables using most recent data

Highlights from the May 2016 OES data

Construction laborers was the largest construction and extraction occupation

Elevator installers and repairers was the highest paying construction and extraction occupation

Petroleum and coal products manufacturing was the highest paying manufacturing industry for production occupations

Most registered nurses worked in general medical and surgical hospitals

San Jose was the highest paying area for STEM occupations

The San Jose area had high concentrations of several computer occupations

Nearly 37 percent of employment was in occupations that typically require postsecondary education for entry

Arkansas and North Dakota had the highest shares of occupations that typically require a postsecondary nondegree award for entry

Retail salespersons and cashiers were the largest occupations

Several of the largest public sector occupations were related to education

Occupational Employment Statistics Audrey Watson Economist Occupational Employment Statistics www.bls.gov/oes 202-691-5693 watson.audrey@bls.gov