National Neighborhood Data Archive (NaNDA): Code for merging ZCTA level datasets with the UDS Mapper ZIP code to ZCTA crosswalk
Principal Investigator(s): View help for Principal Investigator(s) Megan Chenoweth, University of Michigan. Institute for Social Research; Anam Khan, University of Michigan. Institute for Social Research
Version: View help for Version V2
Name | File Type | Size | Last Modified |
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nanda_merge_zcta_zip.do | text/x-stata-syntax | 1.4 KB | 03/10/2021 10:52:AM |
nanda_merge_zcta_zip.sas | application/x-sas | 3.2 KB | 03/10/2021 10:27:AM |
Project Citation:
Chenoweth, Megan, and Khan, Anam. National Neighborhood Data Archive (NaNDA): Code for merging ZCTA level datasets with the UDS Mapper ZIP code to ZCTA crosswalk. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-10. https://doi.org/10.3886/E120088V2
Project Description
Summary:
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NaNDA contains some datasets that measure neighborhood context at the ZIP Code Tabulation Area (ZCTA) level. They are intended for use with survey or other individual-level data containing ZIP codes. Because ZIP codes do not exactly match ZIP code tabulation areas, a crosswalk is required to use ZIP-code-level geocoded datasets with ZCTA-level datasets from NaNDA. A ZIP-code-to-ZCTA crosswalk is available on the UDS Mapper website at https://udsmapper.org/zip-code-to-zcta-crosswalk/.
The sample SAS and Stata code provided here merges the UDS Mapper crosswalk with NaNDA datasets.
The sample SAS and Stata code provided here merges the UDS Mapper crosswalk with NaNDA datasets.
Funding Sources:
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United States Department of Health and Human Services. Administration for Community Living. National Institute on Disability, Independent Living, and Rehabilitation Research (90RTHF0001);
United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (RF1-AG-057540)
Scope of Project
Collection Date(s):
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2021 – 2021
Universe:
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SAS and Stata code
Data Type(s):
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program source code
Collection Notes:
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Code was written and tested with SAS v9 and Stata v16.2.
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Published Versions
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