zipcodeR

Overview

zipcodeR is an R package enabling peer-reviewed research published in some of the world’s most prestigious journals. Whether you’re calculating distances between ZIP codes, looking up demographic information, or performing geospatial analysis, zipcodeR provides a clean, intuitive interface for researchers and data scientists.

Research Impact

zipcodeR has been cited in peer-reviewed research published in:

• Nature Communications (2025) - Multiethnic skin cancer risk modeling
• Cancer Discovery (2025) - NCI clinical trial demographic analysis
• MIS Quarterly (2026) - Charitable crowdfunding field experiment (FT Top 50 journal)
• Journal of the American Heart Association (2024) - Congenital heart disease care gaps
• JAMIA Open (2024) - Telemedicine effectiveness research
• European Economic Review (2023) - COVID-19 behavioral response study
• ACS ES&T Water (2024) - Wastewater disease surveillance

See the full citation list on Google Scholar.

Features

• Distance Calculations: Compute distances between ZIP codes using geodesic methods
• Demographic Data: Access population, income, and demographic statistics
• Geographic Boundaries: Work with ZIP code boundary data for mapping
• Database Integration: Efficient lookups using embedded SQLite database
• Well-Documented: Comprehensive documentation with examples and vignettes

Research Domains

The package is actively used in:

• Cancer research and clinical trials
• Public health and epidemiology
• Environmental science
• Economics and information systems
• Telemedicine and healthcare access
• Wastewater surveillance

Technical Details

Built with modern R development practices, including:

• Comprehensive unit tests
• Continuous integration
• Semantic versioning
• Active maintenance and support

Learn More

For comprehensive information including installation instructions, usage examples, and citation data, visit the dedicated zipcodeR page.