United States Postal Codes & Zip Codes - Format, List & Examples
United States Postal Codes - Format, Structure & Examples by State
Access structured postal-code and location data for the United States, focused on ZIP codes, states, counties, cities, streets, and addresses. Designed for business, analytics, logistics, data enrichment, and location-based applications.
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Dataset Overview
PostcodeZip provides a ready-to-use database covering 6,149,674 streets across 5,368,170 addresses, 20,091 cities and 35,677 postal codes in 53 states of the United States.
- 6,149,674 streets
- 5,368,170 addresses
- 20,091 cities
- 35,677 postal codes
- 53 states
- Most common street name: Main Street (7,198 occurrences)
What This Data Can Be Used For
- Address validation and cleanup for U.S. ZIP codes and street-level data
- Autocomplete for forms and search fields (city, ZIP, street)
- Location-based analytics and reporting by state, county, city, or ZIP code
- Database enrichment and customer record matching
- Logistics, delivery, and route planning using ZIP code and street coordinates
- Geographic applications, mapping tools, and CRM integration
Available Files
Depending on your project, you can choose one or more of the following files:
- Regions file - administrative subdivisions (states and counties)
- Locations file - cities and ZIP codes
- Streets file - street-level location data with coordinates and accuracy
- Addresses file - individual addresses with house numbers and coordinates
Each file is available as a sample preview before purchase.
Sample Files Preview
Download a sample file or preview a few example rows before purchasing.
Regions File
| Country Code | Country | State | County |
|---|---|---|---|
| US | United States | West Virginia | Lincoln |
| US | United States | Wyoming | Uinta |
| US | United States | Kentucky | Perry |
Locations File
| Country Code | Country | State | County | City | ZIP Code |
|---|---|---|---|---|---|
| US | United States | New York | Orange | Florida | 10921 |
| US | United States | Louisiana | Vermilion | Rayne | 70578 |
| US | United States | Texas | Hardin | Votaw | 77376 |
Streets File
| Country Code | Country | State | County | City | ZIP Code | Street | Latitude | Longitude | Elevation (ft) | Elevation (m) | Geocoding Level | Accuracy Radius (ft) | Accuracy Radius (m) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| US | United States | Washington | Kitsap | Poulsbo | 98370 | Northeast Swanson Way | 47.7297862 | -122.6366667 | 154 | 47 | STREET | 164 | 50 |
| US | United States | Missouri | Saint Louis | Saint Louis | 63137 | Norchester Drive | 38.747807 | -90.236777 | 466 | 142 | STREET | 164 | 50 |
| US | United States | Kentucky | Carter | Grayson | 41143 | Water Plant Road | 38.323482 | -82.953432 | 617 | 188 | STREET | 164 | 50 |
Addresses File
| Country Code | Country | State | County | City | Postal Code | Street | Number | Latitude | Longitude | Elevation (ft) | Elevation (m) |
|---|---|---|---|---|---|---|---|---|---|---|---|
| US | United States | California | San Joaquin | Tracy | 95376 | South Hickory Avenue | 37.728869 | -121.443266 | 66 | 20 | |
| US | United States | New Jersey | Ocean | Manchester Township | 08759 | Utah Drive | 39.952223 | -74.403593 | 131 | 40 | |
| US | United States | Georgia | Rabun | Clayton | 30525 | Larry Cannon Lane | 34.891850 | -83.291037 | 2228 | 679 |
Sample data for preview purposes only.
Why This Dataset Is Useful
This database makes it easier to work with U.S. postal and location data in a structured format. It helps standardize ZIP code inputs, improve form completion, match existing customer records, and support analysis by state, county, city, ZIP code, or street.
It is also useful for teams building applications that rely on real postal and location data, including CRMs, business directories, delivery systems, mapping tools, and reporting platforms.
Data Structure
Depending on the selected file, the dataset may include the following fields:
- Country code
- Country name
- State
- County
- City
- Postal code / ZIP code
- Street
- Latitude
- Longitude
- Elevation
Formats and Delivery
Files are available in CSV, Excel, SQL, and XML format, depending on the selected product.
After purchase, your files are delivered in a downloadable archive and can be used immediately.
Updates and Purchase
This is a one-time purchase. The dataset is maintained regularly (Updated on November 4, 2026), and additional updates may be available on request.