New interface for redesigned MEPS tables is now live! AHRQ has redesigned the Medical Expenditure Panel Survey (MEPS) Household Component summary tables to be more user friendly. The interface has been revamped to make navigation easier through multiple queries. New features include the ability to view trends over time, automated plot generation, and R and SAS code to replicate the selected tables. The online summary tables now provide an interactive platform that allows users to quickly access summary estimates at the national level on household medical utilization and expenditures, demographic and socioeconomic characteristics, health insurance coverage, access to care and satisfaction with care, medical conditions, and prescribed medicine purchases.
The MEPS summary tables have been updated with 2016 data.
Registration is now OPEN for the MEPS One-Day Data Users' Workshop, April 30, 2019, Rockville, MD. More details. . .
New Data Files
2017 Full Year Population Characteristics File (HC-194) consists of MEPS survey data obtained in Rounds 3 through 5 of Panel 21 and Rounds 1 through 3 of Panel 22, the rounds for the MEPS panels covering calendar year 2017, and contains variables pertaining to survey administration, demographics, person-level conditions, health status, disability days, quality of care, employment, health insurance, and person-level medical care use counts. The file is released as an ASCII file with SAS, SPSS, and STATA programming statements, and in SAS Transport format.
2017 Jobs File (HC-195) consists of job-related information collected in Rounds 3 through 5 of Panel 21 and Rounds 1 through 3 of Panel 22, the rounds for the MEPS panels covering calendar year 2017, and contains variables pertaining to earnings by type, start and stop dates, hours and weeks worked, establishment size and industry, occupation, presence of retirement and other benefits, self-employment versus other status, temporary or seasonal situations, and health insurance availability. The file is released as an ASCII file with SAS, SPSS, and STATA programming statements, and in SAS Transport format.