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MEPS HC-251: 2023 Full Year Consolidated Data File |
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HC-247 replaced by HC-251 |
Release date: August 2025
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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, the 2023 Full Year Consolidated Data File provides information collected from a nationally representative sample of the civilian noninstitutionalized population of the United States for calendar year 2023. This public use dataset contains variables and frequency distributions associated with all persons who participated in the MEPS Household Component (HC) in 2023. These data were collected during Rounds 3-5 of Panel 27 and Rounds 1-3 of Panel 28 of the Medical Expenditure Panel Survey (MEPS), corresponding to the rounds for the MEPS panels covering calendar year 2023. The 2023 Full Year Consolidated Data File contains the following variables previously released on the 2023 Population Characteristics File (HC-247): survey administration, language of interview variable, demographics, person-level priority conditions, access to care, patient satisfaction, health status, disability days, quality of care, employment, and health insurance. The 2023 Full Year Consolidated Data File also includes these variables: Self-Administered Questionnaire (SAQ) variables, fully-imputed employment variables, use variables, income variables, and expenditure variables.
For more details on loading MEPS PUFs into R, SAS, and Stata, please visit the MEPS GitHub page .

Documentation |
PDF (1.3 MB)
/ HTML
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Codebook |
PDF (3.3 MB)
/ HTML*
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SAS Programming Statements |
TXT (476 KB) |
SPSS Programming Statements |
TXT (279 KB) |
STATA Programming Statements |
TXT (341 KB) |
R Programming Statements |
TXT (46 KB) |
Data File, ASCII format |
ZIP (4.8 MB)
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Data File, SAS transport format |
ZIP (6.1 MB)
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Data File, SAS V9 format |
ZIP (8.0 MB)
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Data File, Stata format |
ZIP (4.5 MB)
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Data File, XLSX format |
ZIP (47 MB)
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— see Survey Questionnaires
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*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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