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Data Structure

Rectangular

person (default) round

Hierarchical

Wide

In wide extracts, hierarchical data (Rounds nested within Person) are converted to a wide data format where Round data are placed on the Person record as new person-level variables and each line in the data set represents a unique observation per person, per year. For more information, please refer to the IPUMS MEPS explainer on Extract Data Structures Available through IPUMS MEPS..

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Variable availability information:
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Variables that are not available for the selected samples:
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Variable display order
IPUMS default.
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Ordering of sample columns:
Chronological.
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Select samples and variables to build a data extract.

Supported by: The Eunice Kennedy Shriver National Institute of Child Health and Human Development, Stat/Transfer, State Health Access Data Assistance Center, and University of Minnesota.