This document provides details on the categories of data returned in the ZIP Code API.
The 5-digit ZIP Code is the core identifier for each location in the database. It provides the primary means to request and integrate ZIP Code data into applications.
The ZIP Code format is standardized by the US Postal Service and provides a recognizable geographic shorthand for consumers and businesses alike. ZIP Codes identify delivery areas and can facilitate postal logistics. They also act as proxies for neighborhoods and sub-regions within a city.
Key use cases for ZIP Code data:
The geographical data provides precise coordinates and supplemental spatial attributes for mapping, location analysis, and geographic modeling.
Key attributes such as latitude/longitude, land area, and elevation allow ZIP Code boundaries, centroids, and terrain to be visualized on a map. This supports trade area analysis based on drive time or distance. Linkages to higher level geographies help roll up ZIP Codes for regional views.
Use cases for geographical data:
Population metrics provide critical demographic intelligence for market segmentation, consumer profiling, and opportunity analysis.
Granular population breakdowns by age, gender, and race/ethnicity allow highly targeted marketing and product development. Trend analysis reveals shifting consumer demand. Comparison across ZIP Codes highlights geographic variances.
Use cases for population data:
Key demographic attributes provide additional data for developing consumer personas andProto personas. Segmenting ZIP Codes by household size, age distribution, and life stage allows more relevant engagement.
Comparing median ages and household sizes across ZIP Codes reveals Youthful urbSuburban familyan neighborhoods versus mature suburban and rural areas with empty nesters. Age and household data inform product preferences.
Use cases for demographic data:
Economic and business metrics provide vital intelligence on growth, spending, and workforce trends. These data help identify potential opportunities while quantifying market health.
Comparison of income, real estate values, and business statistics across ZIP Codes highlights economic disparities. Changes over time reveal growth areas. Labor force numbers quantify talent availability.
Use cases for economic data:
Postal data gives intelligence on delivery logistics and marketing reach. Delivery statistics help plan optimal distribution and direct mail campaigns. PO Box and address counts provide mail market sizing.
This data integrates directly with USPS systems for address validation, presorts, and bulk mail planning. Flags denote mailing preferences and services for each ZIP Code.
Use cases for postal data:
Statistical area codes link ZIP Codes to metropolitan and regional geos. This allows roll-ups for broader analysis and mapping.
Comparing trends across metros and regions reveals macro economic and population shifts. Statistical area delineations anchor ZIP Codes in a geographic hierarchy.
Use cases for statistical area data:
Time attributes provide temporal context on ZIP Code development and history. By denoting when ZIP Codes were established, time data anchors them to eras of growth and development.
Analysis of ZIP Code change over time can reveal demographic and economic shifts as neighborhoods evolve. The combination of date and location creates unique timestamps to study change.
Use cases for time data:
These codes provide technical linkages across datasets along with flags for special cases. FIPS codes join ZIP data to federal information systems for integrated analysis.
Flags identify unique ZIP Codes, multiline geometries, and specific USPS services. This technical metadata enables advanced modeling and systems integration.
Use cases for specialty codes:
Medicare geographic designations connect ZIP Codes to policy and planning systems. This enables analysis of healthcare access, outcomes, and services based on ZIP Code.
Medicare data integrates with CMS records for evaluation of treatments, costs, and populations served relative to location. ZIP Codes anchor the data to concrete communities.
Use cases for Medicare data:
Congressional districts and spatial boundaries provide political context and representation. ZIP Codes can be aggregated to analyze voting patterns, advocacy campaigns, and policy impacts by district.
Legislators utilize ZIP Code-level detail on their constituents to inform decisions and communications. Granular opinions and trends can be modeled across districts.
Use cases for congressional data: