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| MEPS HC-254E: 2024 Emergency Room 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 Emergency Room Visits File provides detailed information on emergency room 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 emergency room utilization and expenditures for calendar year 2024. Each record comprises data for one household-reported emergency room 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 Emergency Room Visits File contains data on several characteristics associated with each emergency room visit, including 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 (419 KB)
/ HTML
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| Codebook |
PDF (161 KB)
/ HTML*
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| SAS Programming Statements |
TXT (40 KB) |
| SPSS Programming Statements |
TXT (9.2 KB) |
| STATA Programming Statements |
TXT (13 KB) |
| R Programming Statements |
TXT (8.4 KB) |
| Data File, ASCII format |
ZIP (182 KB)
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| Data File, SAS transport format |
ZIP (230 KB)
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| Data File, SAS V9 format |
ZIP (256 KB)
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| Data File, Stata format |
ZIP (215 KB)
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| Data File, XLSX format |
ZIP (632 KB)
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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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