Data
Our address search and verification APIs return addressing data in different formats based on national conventions and datasets.
Addresses from every dataset share the same Standard Address fields. Each dataset's raw fields sit in the address's native record. Supported Countries lists which dataset serves each country. Available formats:
United States
- United States Postal Service (USPS), standardized USPS address data
Australia
- Geocoded National Address File (GNAF), comprehensive Australian address data with geocoding
Belgium
- FODBOSA, official Belgian address database from the Federal Public Service Interior
Canada
- Canada National Address Register (CANNAR), authoritative national address dataset
Denmark
- Danish Standard Address File (SDFI), national address data from the Danish Agency for Data Supply and Infrastructure
Ireland
- ECAD, enhanced ECAF with additional metadata
- ECAF, national standard address dataset published by Eircode
Japan
- UPUJP, comprehensive Japanese address database
Netherlands
- Kadaster, authoritative Dutch land, property, and address data
Norway
- Kartverket, official Norwegian address data from the national mapping authority
South Korea
- MoIS, official address database from the Ministry of Interior and Safety
Switzerland & Liechtenstein
- Swisstopo, the official directories of building addresses, streets and localities from the Swiss Federal Office of Topography, covering Switzerland and Liechtenstein in German, French, Italian and Romansh
United Kingdom
- Postcode Address File Address, standard UK address format
- Multiple Residence, special premise type extending PAF format
- Not Yet Built, special premise type extending PAF format
- Welsh Postcode Address File, PAF variant with Welsh locality translations
- Northern Ireland Pointer, rooftop accurate geolocations and UPRNs for Northern Ireland addresses
International Addresses
For countries not listed above, we use global address data from HERE for broad international coverage. We continuously expand coverage by integrating local, authoritative datasets to improve precision and relevance.