Medical Expenditure Panel Survey Public Use File Details

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MEPS HC-220C: 2020 Other Medical Expenses File

Release date: August 2022

	Notes on viewing and downloading files
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This public use data file is one in a series of event-level public use data files drawn from the 2020 Medical Expenditure Panel Survey (MEPS) Household Component (HC). Released as an ASCII file with SAS, SPSS, STATA, and R programming statements a SAS transport file, a SAS V9 file, a XLSX file, and a Stata file, this public use file provides information on the purchase of and expenditures for visual aids, medical equipment, supplies, and other medical items for a nationally representative sample of the civilian noninstitutionalized population of the United States and can be used to make estimates of the utilization and expenditures associated with medical items during the 2020 calendar year. This file consists of MEPS survey data obtained in Rounds 6-7 for Panel 23, Rounds 3-5 for Panel 24, and Rounds 1-3 for Panel 25 (i.e., the rounds for the MEPS panels covering calendar year 2020). This year, 2020, is the first data year to include three panels of data; Panel 23 was extended to include Rounds 6 and 7. The Other Medical event file contains one record for each type of medical item reported as being purchased or otherwise obtained by a household member during the specified reference period. For more details on loading MEPS PUFs into R, SAS, and Stata, please visit the MEPS GitHub page

Documentation

File type

Documentation	PDF (428 KB) / HTML
Codebook	PDF (96 KB) / HTML*
SAS Programming Statements	TXT (30 KB)
SPSS Programming Statements	TXT (5.1 KB)
STATA Programming Statements	TXT (7.5 KB)
R Programming Statements	TXT (7.6 KB)

Data	File type**

Data File, ASCII format

ZIP (222 KB)

Data File, SAS transport format

ZIP (305 KB)

Data File, SAS V9 format

ZIP (323 KB)

Data File, Stata format

ZIP (279 KB)

Data File, XLSX format

ZIP (874 KB)

Questionnaires — see Survey Questionnaires
The PDF version of the codebook is recommended for printing; the HTML version is database driven and lets you navigate quickly to details on each variable. *Right-click on the data file link, then select Save Target As or Save Link As to download the file.

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