Ohio ZIP Code Dataset
Ohio ZIP code list
| State | County | Locality | ZIP Code | Population per ZIP Code |
|---|---|---|---|---|
| Ohio | Butler | Fairfield | 45014 | 46623 |
| Ohio | Butler | Hamilton | 45011 | 73597 |
| Ohio | Butler | Hamilton | 45013 | 55542 |
| Ohio | Butler | Middletown | 45044 | 55438 |
| Ohio | Butler | West Chester | 45069 | 53157 |
| Ohio | Clermont | Loveland | 45140 | 56013 |
| Ohio | Cuyahoga | Cleveland | 44102 | 41948 |
| Ohio | Cuyahoga | Cleveland | 44130 | 47084 |
| Ohio | Cuyahoga | Lakewood | 44107 | 48297 |
| Ohio | Delaware | Delaware | 43015 | 60256 |
| Ohio | Delaware | Powell | 43065 | 53715 |
| Ohio | Erie | Sandusky | 44870 | 40843 |
| Ohio | Fairfield | Lancaster | 43130 | 63675 |
| Ohio | Fairfield | Pickerington | 43147 | 50134 |
| Ohio | Franklin | Columbus | 43201 | 43646 |
| Ohio | Franklin | Columbus | 43204 | 52532 |
| Ohio | Franklin | Columbus | 43207 | 56537 |
| Ohio | Franklin | Columbus | 43224 | 48089 |
| Ohio | Franklin | Columbus | 43228 | 63991 |
| Ohio | Franklin | Columbus | 43229 | 58596 |
| Ohio | Franklin | Columbus | 43230 | 63736 |
| Ohio | Franklin | Columbus | 43232 | 53150 |
| Ohio | Franklin | Columbus | 43235 | 48092 |
| Ohio | Franklin | Dublin | 43016 | 42288 |
| Ohio | Franklin | Dublin | 43017 | 47790 |
| Ohio | Franklin | Grove City | 43123 | 72588 |
| Ohio | Franklin | Hilliard | 43026 | 68261 |
| Ohio | Franklin | Westerville | 43081 | 70659 |
| Ohio | Franklin | Westerville | 43082 | 41924 |
| Ohio | Greene | Fairborn | 45324 | 41811 |
| Ohio | Greene | Xenia | 45385 | 41190 |
| Ohio | Hamilton | Cincinnati | 45231 | 41745 |
| Ohio | Hamilton | Cincinnati | 45238 | 46458 |
| Ohio | Hancock | Findlay | 45840 | 56455 |
| Ohio | Lake | Mentor | 44060 | 57397 |
| Ohio | Lake | Painesville | 44077 | 54574 |
| Ohio | Licking | Newark | 43055 | 62686 |
| Ohio | Licking | Reynoldsburg | 43068 | 65610 |
| Ohio | Lorain | Elyria | 44035 | 62329 |
| Ohio | Marion | Marion | 43302 | 55558 |
| Ohio | Medina | Brunswick | 44212 | 43079 |
| Ohio | Medina | Medina | 44256 | 64631 |
| Ohio | Montgomery | Dayton | 45424 | 50385 |
| Ohio | Muskingum | Zanesville | 43701 | 56636 |
| Ohio | Ross | Chillicothe | 45601 | 59735 |
| Ohio | Stark | Massillon | 44646 | 47209 |
| Ohio | Summit | Barberton | 44203 | 41674 |
| Ohio | Warren | Lebanon | 45036 | 42051 |
| Ohio | Warren | Mason | 45040 | 56862 |
| Ohio | Wayne | Wooster | 44691 | 44278 |
Showing postal codes
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Comprehensive location data products serving businesses, and
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Postal Code Database
Global dataset containing all administrative divisions, cities and zip codes.
Key features
- 247 Countries
- 9,9M Coordinates
- 9,3M Postal Codes
- 400 Time zones
- 4M Cities and Towns
- 116K UNLOCODES
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Boundary Data
A global dataset of polygons representing postal codes and administrative areas.
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- 247 Countries
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- 245K Admin areas
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- Format: GeoJSON, Geopackage, KML, Shapefile (SHP)
Population Database
Global population estimates at postal code and administrative level covering a span of 55 years: past, present, and future.
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- 247 Countries
- 243K Admin areas
- 55 year span
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- 645K ZIP codes
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- Coverage: International
- Format: CSV, ASC
Address Database
International dataset with all administrative areas, cities, streets, and relevant postal codes.
Key features
- 81 Countries
- 299 languages
- 26,5M streets
- 400 time zones
- 9.3M ZIP codes
- 4M cities
Specifications
- Coverage: International
- Format: CSV, ASC, DAT, GML, KML, Shapefile (SHP), GeoJSON
Complete US state and North America ZIP code coverage
50 states and related North American countries with standardized formatting and reliable geographic information.
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