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| MEPS HC-254F: 2024 Outpatient Visits File |
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Release date: July 2026
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This public use file is one in a series of event-level public use files drawn from the 2024 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, the Outpatient Visits File provides detailed information on outpatient visits. Data are gathered from a nationally representative sample of the civilian, noninstitutionalized population of the United States and can be used to make estimates of outpatient utilization and expenditures for calendar year 2024. Each record comprises data for one household-reported outpatient visit collected during Rounds 3-5 of Panel 28 and Rounds 1-3 of Panel 29, corresponding to the rounds for the MEPS panels covering calendar year 2024. The Outpatient Visits File contains data on several characteristics associated with each outpatient visit, including the date of the visit, whether or not a doctor was seen, types of care and services received, expenditures, and sources of payment. To append person-level information such as demographic or health insurance coverage to each event record, data from this file can be merged with the 2024 MEPS HC Full-Year Consolidated File using the person identifier, DUPERSID.
For more details on loading MEPS PUFs into R, SAS, and Stata, please visit the MEPS GitHub page .

| Documentation |
PDF (431 KB)
/ HTML
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| Codebook |
PDF (183 KB)
/ HTML*
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| SAS Programming Statements |
TXT (43 KB) |
| SPSS Programming Statements |
TXT (12 KB) |
| STATA Programming Statements |
TXT (16 KB) |
| R Programming Statements |
TXT (8.5 KB) |
| Data File, ASCII format |
ZIP (608 KB)
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| Data File, SAS transport format |
ZIP (715 KB)
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| Data File, SAS V9 format |
ZIP (815 KB)
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| Data File, Stata format |
ZIP (707 KB)
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| Data File, XLSX format |
ZIP (2.9 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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