The United States Postal Service (USPS) assigns unique identifiers for postal service areas known as ZIP codes which are commonly used to identify cities and regions throughout the United States in datasets. Despite the widespread use of ZIP codes, there are challenges in using them for geospatial analysis in the social sciences. This paper presents zipcodeR, an R package that facilitates analysis of ZIP code-level data by providing an offline database of ZIP codes and functions for geocoding,

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... ormalizing and retrieving data about ZIP codes and relating them to other geographies in R without depending on any external services. Manuscript Revised Final Click here to view linked References J o u r n a l P r e -p r o o f Journal Pre-proof J o u r n a l P r e -p r o o f Journal Pre-proof Highlights  R package provides offline data on over 41,000 ZIP codes usable for research analyzing data at the ZIP code level.  The package can geocode of ZIP code-level data in R without depending on external APIs or services.  Enhanced GIS functions can be used to relate ZIP codes to other geographies, including Census tracts, counties & states to enable social science research. Highlights (for review)