Standardized across countries
233 address formats mapped in a unified structure with consistent administrative levels.
Multi-language support
299 languages, including local languages, foreign names, English, and transliterations.
Global city definitions
Standardized city definitions and classifications for reliable address validation.
Comprehensive address data for 247 countries
| ISO | Country | Postal Codes | Coordinates | Streets | Languages | Admin levels | Time zones |
|---|---|---|---|---|---|---|---|
AMERICA | |||||||
CA | Canada | ✔ | ✔ | ✔ | 2 | 1 | 1 |
GL | Greenland | ✔ | ✔ | ✔ | 1 | 2 | 1 |
MX | Mexico | ✔ | ✔ | ✔ | 1 | 2 | 1 |
US | United States | ✔ | ✔ | ✔ | 1 | 1 | 1 |
AG | Antigua & Barbuda | ✔ | 1 | 1 | 1 | ||
AI | Anguilla | ✔ | ✔ | 2 | 3 | 1 | |
AR | Argentina | ✔ | ✔ | ✔ | 2 | 3 | 1 |
AW | Aruba | ✔ | 2 | 3 | 1 | ||
BB | Barbados | ✔ | ✔ | 2 | 3 | 1 | |
BL | Saint Barthélemy | ✔ | ✔ | ✔ | 1 | 2 | 1 |
BM | Bermuda | ✔ | ✔ | ✔ | 2 | 3 | 1 |
BO | Bolivia | ✔ | 1 | 3 | 9 | ||
BR | Brazil | ✔ | ✔ | ✔ | 1 | 1 | 1 |
BS | Bahamas | ✔ | 3 | 3 | 1 | ||
BZ | Belize | ✔ | 2 | 2 | 1 | ||
CL | Chile | ✔ | ✔ | ✔ | 2 | 3 | 1 |
CO | Colombia | ✔ | ✔ | ✔ | 1 | 1 | 1 |
CR | Costa Rica | ✔ | ✔ | 1 | 3 | 1 | |
CU | Cuba | ✔ | ✔ | 3 | 4 | 1 | |
CW | Curaçao | ✔ | 2 | 3 | 1 | ||
DM | Dominica | ✔ | 2 | 3 | 1 | ||
DO | Dominican Republic | ✔ | ✔ | 1 | 1 | 1 | |
EC | Ecuador | ✔ | ✔ | ✔ | 2 | 3 | 1 |
FK | Falkland Islands | ✔ | ✔ | 2 | 2 | 1 | |
GD | Grenada | ✔ | 2 | 0 | 1 | ||
GF | French Guiana | ✔ | ✔ | ✔ | 1 | 1 | 1 |
GP | Guadeloupe | ✔ | ✔ | ✔ | 1 | 2 | 1 |
GT | Guatemala | ✔ | ✔ | 2 | 3 | 1 | |
GY | Guyana | ✔ | 2 | 3 | 3 | ||
HN | Honduras | ✔ | ✔ | 1 | 1 | 1 | |
HT | Haiti | ✔ | ✔ | 1 | 2 | 1 | |
JM | Jamaica | ✔ | 2 | 0 | 1 | ||
KN | Saint Kitts and Nevis | ✔ | ✔ | 1 | 2 | 1 | |
KY | Cayman Islands | ✔ | ✔ | 2 | 3 | 1 | |
LC | Saint Lucia | ✔ | ✔ | 1 | 1 | 1 | |
MF | Saint Martin | ✔ | ✔ | ✔ | 2 | 3 | 10 |
MQ | Martinique | ✔ | ✔ | ✔ | 1 | 0 | 1 |
MS | Montserrat | ✔ | ✔ | 2 | 3 | 2 | |
NI | Nicaragua | ✔ | ✔ | 2 | 3 | 1 | |
PA | Panama | ✔ | ✔ | 1 | 2 | 1 | |
PE | Peru | ✔ | ✔ | 4 | 3 | 1 | |
PM | Saint Pierre & Miquelon | ✔ | ✔ | ✔ | 2 | 4 | 1 |
PR | Puerto Rico | ✔ | ✔ | ✔ | 1 | 1 | 1 |
PY | Paraguay | ✔ | ✔ | 2 | 3 | 3 | |
SR | Suriname | ✔ | 2 | 3 | 1 | ||
SV | El Salvador | ✔ | ✔ | 2 | 4 | 3 | |
SX | Sint Maarten | ✔ | ✔ | 2 | 4 | 1 | |
TC | Turks and Caicos Islands | ✔ | ✔ | 2 | 3 | 1 | |
TT | Trinidad & Tobago | ✔ | 2 | 2 | 1 | ||
UY | Uruguay | ✔ | ✔ | ✔ | 2 | 2 | 1 |
VC | St Vinc. & Grenadines | ✔ | ✔ | 1 | 0 | 1 | |
VE | Venezuela | ✔ | ✔ | 1 | 0 | 1 | |
VG | British Virgin Islands | ✔ | ✔ | 2 | 1 | 1 | |
VI | U.S. Virgin Islands | ✔ | ✔ | ✔ | 2 | 3 | 1 |
EUROPE | |||||||
AD | Andorra | ✔ | ✔ | ✔ | 2 | 4 | 1 |
AT | Austria | ✔ | ✔ | ✔ | 1 | 2 | 1 |
AX | Åland | ✔ | ✔ | ✔ | 2 | 4 | 1 |
BE | Belgium | ✔ | ✔ | ✔ | 1 | 1 | 1 |
CH | Switzerland | ✔ | ✔ | ✔ | 2 | 4 | 1 |
DE | Germany | ✔ | ✔ | ✔ | 2 | 3 | 1 |
DK | Denmark | ✔ | ✔ | ✔ | 2 | 3 | 2 |
ES | Spain | ✔ | ✔ | ✔ | 2 | 2 | 1 |
FI | Finland | ✔ | ✔ | ✔ | 2 | 2 | 1 |
FO | Faroe Islands | ✔ | ✔ | ✔ | 1 | 2 | 1 |
FR | France | ✔ | ✔ | ✔ | 2 | 4 | 2 |
GB | United Kingdom | ✔ | ✔ | ✔ | 1 | 3 | 1 |
GG | Guernsey | ✔ | ✔ | ✔ | 3 | 4 | 1 |
GI | Gibraltar | ✔ | ✔ | ✔ | 1 | 3 | 1 |
GR | Greece | ✔ | ✔ | 1 | 0 | 1 | |
IE | Ireland | ✔ | ✔ | ✔ | 1 | 1 | 2 |
IM | Isle of Man | ✔ | ✔ | ✔ | 2 | 2 | 1 |
IS | Iceland | ✔ | ✔ | ✔ | 2 | 4 | 1 |
IT | Italy | ✔ | ✔ | ✔ | 1 | 2 | 1 |
JE | Jersey | ✔ | ✔ | ✔ | 1 | 4 | 1 |
LI | Liechtenstein | ✔ | ✔ | ✔ | 1 | 1 | 1 |
LU | Luxembourg | ✔ | ✔ | ✔ | 2 | 2 | 1 |
MC | Monaco | ✔ | ✔ | ✔ | 2 | 4 | 1 |
MT | Malta | ✔ | ✔ | ✔ | 1 | 1 | 1 |
NL | Netherlands | ✔ | ✔ | ✔ | 1 | 2 | 1 |
NO | Norway | ✔ | ✔ | ✔ | 1 | 0 | 1 |
PT | Portugal | ✔ | ✔ | ✔ | 1 | 1 | 4 |
SE | Sweden | ✔ | ✔ | ✔ | 1 | 2 | 1 |
SJ | Svalbard and Jan Mayen | ✔ | ✔ | ✔ | 1 | 4 | 1 |
SM | San Marino | ✔ | ✔ | ✔ | 2 | 4 | 1 |
VA | Vatican | ✔ | ✔ | ✔ | 1 | 3 | 1 |
AL | Albania | ✔ | ✔ | 2 | 3 | 1 | |
AM | Armenia | ✔ | ✔ | 1 | 0 | 1 | |
AZ | Azerbaijan | ✔ | ✔ | 2 | 2 | 1 | |
BA | Bosnia-Herzegovina | ✔ | ✔ | 1 | 1 | 1 | |
BG | Bulgaria | ✔ | ✔ | 1 | 3 | 1 | |
BY | Belarus | ✔ | ✔ | 1 | 2 | 1 | |
CY | Cyprus | ✔ | ✔ | ✔ | 2 | 2 | 1 |
CZ | Czechia | ✔ | ✔ | ✔ | 1 | 0 | 1 |
EE | Estonia | ✔ | ✔ | ✔ | 2 | 2 | 1 |
GE | Georgia | ✔ | ✔ | 2 | 2 | 1 | |
HR | Croatia | ✔ | ✔ | ✔ | 2 | 4 | 1 |
HU | Hungary | ✔ | ✔ | ✔ | 2 | 3 | 1 |
LT | Lithuania | ✔ | ✔ | ✔ | 2 | 3 | 3 |
LV | Latvia | ✔ | ✔ | ✔ | 2 | 3 | 1 |
MD | Moldova | ✔ | ✔ | 2 | 3 | 1 | |
ME | Montenegro | ✔ | ✔ | 1 | 2 | 1 | |
MK | Republic of North Macedonia | ✔ | ✔ | 1 | 4 | 1 | |
PL | Poland | ✔ | ✔ | ✔ | 1 | 0 | 1 |
RO | Romania | ✔ | ✔ | ✔ | 1 | 2 | 1 |
RS | Serbia | ✔ | ✔ | 2 | 1 | 1 | |
RU | Russia | ✔ | ✔ | ✔ | 2 | 2 | 1 |
SI | Slovenia | ✔ | ✔ | ✔ | 2 | 3 | 1 |
SK | Slovakia | ✔ | ✔ | 1 | 1 | 1 | |
UA | Ukraine | ✔ | ✔ | ✔ | 1 | 1 | 1 |
XK | Kosovo | ✔ | ✔ | 2 | 3 | 1 | |
ASIA | |||||||
AF | Afghanistan | ✔ | ✔ | 3 | 4 | 1 | |
BD | Bangladesh | ✔ | ✔ | 1 | 3 | 1 | |
BN | Brunei | ✔ | ✔ | 2 | 2 | 1 | |
BT | Bhutan | ✔ | ✔ | 2 | 3 | 1 | |
CC | Cocos (Keeling) Islands | ✔ | ✔ | ✔ | 1 | 2 | 3 |
CN | China | ✔ | ✔ | 1 | 1 | 1 | |
CX | Christmas Island | ✔ | ✔ | ✔ | 1 | 1 | 1 |
HK | Hong Kong | ✔ | ✔ | 1 | 2 | 1 | |
ID | Indonesia | ✔ | ✔ | 2 | 2 | 1 | |
IN | India | ✔ | ✔ | 2 | 1 | 1 | |
IO | British Indian Ocean Terr. | ✔ | ✔ | 1 | 1 | 1 | |
JP | Japan | ✔ | ✔ | 3 | 2 | 6 | |
KG | Kyrgyzstan | ✔ | ✔ | 1 | 3 | 1 | |
KH | Cambodia | ✔ | ✔ | 2 | 3 | 1 | |
KP | North Korea | ✔ | 1 | 1 | 1 | ||
KR | South Korea | ✔ | ✔ | ✔ | 2 | 1 | 1 |
KZ | Kazakhstan | ✔ | ✔ | ✔ | 2 | 3 | 1 |
LA | Laos | ✔ | ✔ | 1 | 3 | 1 | |
LK | Sri Lanka | ✔ | ✔ | 1 | 2 | 1 | |
MM | Myanmar (Burma) | ✔ | ✔ | 2 | 3 | 1 | |
MN | Mongolia | ✔ | ✔ | 2 | 2 | 1 | |
MO | Macau | ✔ | 2 | 2 | 1 | ||
MV | Maldives | ✔ | ✔ | ✔ | 1 | 1 | 1 |
MY | Malaysia | ✔ | ✔ | ✔ | 3 | 4 | 1 |
NP | Nepal | ✔ | ✔ | 2 | 1 | 1 | |
PH | Philippines | ✔ | ✔ | 2 | 2 | 1 | |
PK | Pakistan | ✔ | ✔ | 2 | 1 | 1 | |
SG | Singapore | ✔ | ✔ | ✔ | 2 | 0 | 1 |
TH | Thailand | ✔ | ✔ | 2 | 4 | 1 | |
TJ | Tajikistan | ✔ | ✔ | 1 | 2 | 1 | |
TL | Timor-Leste | ✔ | 2 | 2 | 1 | ||
TM | Turkmenistan | ✔ | ✔ | 2 | 3 | 1 | |
TW | Taiwan | ✔ | ✔ | ✔ | 2 | 4 | 1 |
UZ | Uzbekistan | ✔ | ✔ | 2 | 2 | 3 | |
VN | Vietnam | ✔ | ✔ | 2 | 1 | 1 | |
MIDDLE EAST | |||||||
AE | United Arab Emirates | ✔ | 1 | 1 | 1 | ||
BH | Bahrain | ✔ | ✔ | 2 | 4 | 1 | |
IL | Israel | ✔ | ✔ | ✔ | 1 | 3 | 1 |
IQ | Iraq | ✔ | ✔ | 1 | 1 | 1 | |
IR | Iran | ✔ | ✔ | 2 | 2 | 1 | |
JO | Jordan | ✔ | ✔ | 1 | 1 | 1 | |
KW | Kuwait | ✔ | ✔ | 1 | 3 | 1 | |
LB | Lebanon | ✔ | 1 | 2 | 1 | ||
OM | Oman | ✔ | ✔ | 2 | 2 | 6 | |
PS | Palestine | ✔ | ✔ | 1 | 2 | 1 | |
QA | Qatar | ✔ | ✔ | 2 | 3 | 1 | |
SA | Saudi Arabia | ✔ | ✔ | 1 | 2 | 1 | |
SY | Syria | ✔ | 2 | 2 | 1 | ||
TR | Turkey | ✔ | ✔ | 2 | 3 | 1 | |
YE | Yemen | ✔ | 1 | 0 | 1 | ||
AFRICA | |||||||
AO | Angola | ✔ | 1 | 3 | 1 | ||
BF | Burkina Faso | ✔ | ✔ | 2 | 2 | 1 | |
BI | Burundi | ✔ | 2 | 2 | 2 | ||
BJ | Benin | ✔ | 2 | 2 | 1 | ||
BW | Botswana | ✔ | 1 | 3 | 1 | ||
CD | Congo D.R. | ✔ | ✔ | 1 | 1 | 1 | |
CF | Central African Republic | ✔ | 1 | 0 | 1 | ||
CG | Congo-Brazzaville | ✔ | 1 | 2 | 2 | ||
CI | Côte d'Ivoire | ✔ | 2 | 2 | 1 | ||
CM | Cameroon | ✔ | 2 | 3 | 1 | ||
CV | Cape Verde | ✔ | ✔ | 2 | 3 | 1 | |
DJ | Djibouti | ✔ | 2 | 2 | 3 | ||
DZ | Algeria | ✔ | ✔ | 1 | 2 | 2 | |
EG | Egypt | ✔ | ✔ | 1 | 3 | 1 | |
ER | Eritrea | ✔ | 1 | 3 | 1 | ||
ET | Ethiopia | ✔ | 2 | 3 | 1 | ||
GA | Gabon | ✔ | 2 | 1 | 1 | ||
GH | Ghana | ✔ | ✔ | 1 | 0 | 1 | |
GM | Gambia | ✔ | 1 | 1 | 1 | ||
GN | Guinea | ✔ | 2 | 2 | 1 | ||
GQ | Equatorial Guinea | ✔ | 2 | 3 | 2 | ||
GW | Guinea-Bissau | ✔ | 1 | 1 | 1 | ||
KE | Kenya | ✔ | ✔ | 2 | 3 | 1 | |
KM | Comoros | ✔ | 2 | 2 | 1 | ||
LR | Liberia | ✔ | 2 | 4 | 1 | ||
LS | Lesotho | ✔ | ✔ | 2 | 3 | 1 | |
LY | Libya | ✔ | 2 | 3 | 1 | ||
MA | Morocco | ✔ | ✔ | 2 | 3 | 14 | |
MG | Madagascar | ✔ | ✔ | 1 | 3 | 1 | |
ML | Mali | ✔ | ✔ | 2 | 2 | 1 | |
MR | Mauritania | ✔ | 1 | 1 | 1 | ||
MU | Mauritius | ✔ | ✔ | 1 | 1 | 1 | |
MW | Malawi | ✔ | ✔ | 1 | 2 | 1 | |
MZ | Mozambique | ✔ | ✔ | 2 | 2 | 1 | |
NA | Namibia | ✔ | ✔ | 1 | 2 | 1 | |
NE | Niger | ✔ | ✔ | 1 | 2 | 1 | |
NG | Nigeria | ✔ | ✔ | 2 | 2 | 1 | |
RE | Réunion | ✔ | ✔ | ✔ | 2 | 1 | 1 |
RW | Rwanda | ✔ | 2 | 3 | 1 | ||
SC | Seychelles | ✔ | 1 | 3 | 1 | ||
SD | Sudan | ✔ | 2 | 1 | 1 | ||
SH | Saint Helena | ✔ | ✔ | 2 | 4 | 1 | |
SL | Sierra Leone | ✔ | 1 | 2 | 1 | ||
SN | Senegal | ✔ | ✔ | 2 | 2 | 1 | |
SO | Somalia | ✔ | 1 | 2 | 1 | ||
SS | South Sudan | ✔ | 1 | 2 | 1 | ||
ST | São Tomé & Príncipe | ✔ | 2 | 2 | 1 | ||
SZ | Eswatini | ✔ | ✔ | 2 | 0 | 1 | |
TD | Chad | ✔ | 2 | 3 | 1 | ||
TF | French Southern Territories | ✔ | 1 | 2 | 1 | ||
TG | Togo | ✔ | 1 | 2 | 1 | ||
TN | Tunisia | ✔ | ✔ | 2 | 3 | 1 | |
TZ | Tanzania | ✔ | ✔ | ✔ | 2 | 1 | 1 |
UG | Uganda | ✔ | ✔ | 1 | 2 | 1 | |
YT | Mayotte | ✔ | ✔ | ✔ | 2 | 3 | 1 |
ZA | South Africa | ✔ | ✔ | 3 | 2 | 1 | |
ZM | Zambia | ✔ | 2 | 0 | 1 | ||
ZW | Zimbabwe | ✔ | 1 | 3 | 1 | ||
OCEANIA | |||||||
AS | American Samoa | ✔ | ✔ | 1 | 2 | 1 | |
AU | Australia | ✔ | ✔ | ✔ | 2 | 2 | 1 |
CK | Cook Islands | ✔ | 1 | 2 | 1 | ||
FJ | Fiji | ✔ | 2 | 4 | 1 | ||
FM | Micronesia | ✔ | ✔ | 1 | 2 | 1 | |
GU | Guam | ✔ | ✔ | ✔ | 1 | 1 | 1 |
KI | Kiribati | ✔ | ✔ | 2 | 2 | 1 | |
MH | Marshall Islands | ✔ | ✔ | 1 | 3 | 1 | |
MP | Northern Mariana Islands | ✔ | ✔ | 2 | 3 | 1 | |
NC | New Caledonia | ✔ | ✔ | 1 | 4 | 1 | |
NF | Norfolk Island | ✔ | ✔ | ✔ | 1 | 1 | 4 |
NR | Nauru | ✔ | ✔ | 1 | 2 | 8 | |
NU | Niue | ✔ | ✔ | 2 | 1 | 1 | |
NZ | New Zealand | ✔ | ✔ | ✔ | 2 | 2 | 1 |
PF | French Polynesia | ✔ | ✔ | 2 | 0 | 1 | |
PG | Papua New Guinea | ✔ | ✔ | 1 | 1 | 1 | |
PN | Pitcairn Islands | ✔ | ✔ | 2 | 3 | 1 | |
PW | Palau | ✔ | ✔ | 1 | 1 | 1 | |
SB | Solomon Islands | ✔ | 1 | 1 | 1 | ||
TK | Tokelau | ✔ | 2 | 4 | 1 | ||
TO | Tonga | ✔ | 1 | 1 | 1 | ||
TV | Tuvalu | ✔ | 2 | 2 | 1 | ||
UM | Minor Outlying Islands | ✔ | ✔ | 1 | 2 | 1 | |
VU | Vanuatu | ✔ | 3 | 2 | 1 | ||
WF | Wallis and Futuna | ✔ | ✔ | 2 | 2 | 1 | |
WS | Samoa | ✔ | ✔ | 2 | 3 | 1 | |
OCEANIC ISLANDS | |||||||
BV | Bouvet Island | ✔ | 2 | 3 | 1 | ||
GS | South Georgia & Sandwich | ✔ | ✔ | 1 | 2 | 1 | |
HM | Heard & McDonald Islands | ✔ | ✔ | 1 | 3 | 1 |
The sample includes data for 248 countries
Our data in numbers
Our Address database gives you the accurate, standardized reference data you need, including:
Fully and accurately geocoded
Fully and accurately geocoded
Multi-language support
Multi-language support
Self-hosted delivery
Self-hosted delivery
Address ranges
Address ranges
Comprehensive city definitions
Comprehensive city definitions
Administrative divisions
Administrative divisions
International Address Formats
International Address Formats
UNLOCODE and IATA codes
A complete and clean list of geocoded Logistics’ locations, associated with the closest zip codes (postcodes in UK) and cities.
Administrative areas
The subdivisions of each country are prioritized in up to 4 levels. Our enterprise-built connector will help you adapt our standardized structure to your system of choice.
International Address Formats
Indicates, per country, which fields should appear on addresses and where, in line with the requirements of each postal operator.
Time zones and DST
A complete list of time zones, future on and off dates of Daylight Saving Time changes for all the time zones in the world, for each zip code (postcode in UK) and city.
UNLOCODE and IATA codes
UNLOCODE and IATA codes
Time zones and DST
Time zones and DST
Trusted by Industry Leaders
Join more than 100 enterprise clients who trust GeoPostcodes for their location data
Anjo Grebe
Consultant


Dr. Peter Wild
Managing Partner

Kousha Mazloumi
Director of Data Science

Kousha Mazloumi
Director of Data Science

William Chao
Product Owner of Geographic Information Services


Kate Kilby
Senior Product Manager

Dave Hamm
Project Manager

Kavian Ranjbar
Data Governance Specialist

Nick Beaugié
Senior Software Engineer
Why choose GeoPostcodes
Global coverage
Complete coverage across 247 countries, including hard-to-source geographies like China, Japan, Brazil, and Russia.
Highest quality
Built on extensive, authoritative sourcing with robust data engineering and quality control. Standardized and up-to-date.
Expert Consulting
With 15 years of experience, we guide your implementation and deliver data in the format that fits your system.
Why perform international address verification?
Some of the more common uses for address verification & validation include:
- Regulatory & Tax compliance
- Data enrichment & Location intelligence
- Customer experience & conversion optimization
- Customer data accuracy & CRM integrity
- Logistics & shipping compliance
- Market research & panelist validation
DEVELOPERS DOCUMENTATION
Our standard data format

Self-hosted
Our data can be downloaded and easily imported into any software, database, MDM, CRM, ERP, or GIS system.
Get automatic differential updates and full visibility on historical ID changes with our automated download delivery.

Flexible data formats include

Normalized
The Normalized tables provide unique and interrelated lists of the entities in the dataset: countries, administrative levels, cities, and postal codes. The tables are linked through record IDs. Constraints such as uniqueness, foreign keys, etc. ensure the integrity of the data.
Denormalized
The easiest format to integrate into your systems. All data are combined into one comprehensive table for immediate access.
Unlock the full potential of your location data

Address database
International data set with all administrative areas, localities, streets, and zip codes.

Boundary data
A global data set of polygons representing postal codes and administrative areas.

Population Database
Global population estimates at zip code and administrative level covering a span of 55 years: past, present, and future.
Check our related articles
Frequently Asked Questions
A street address database organizes street addresses, localities, ZIP codes, administrative divisions, and structured address data into a unified source. A National Address Database—such as those created by certain governments—is maintained by public agencies to support national services, transportation safety, and infrastructure planning.
GeoPostcodes does not provide the USDOT National Address Database. Instead, our global dataset is built using curated, authoritative sources and includes street-level and address-level detail for international use cases. You can explore the full structure on our Streets Database product page.
Yes. The address database includes multilingual fields so users can work with street addresses in the languages defined by local authorities. While a national address database may focus on a single official language, our global solution supports regions with multiple scripts and language variants.
See our multilingual specifications on the Streets Database page.
Some regions—including rural areas, territories with tribal governance, or countries without formal address systems—don’t use standardized street addressing. In these cases, the GeoPostcodes address database relies on alternative references such as locality centroids, administrative divisions, or postal address proxies. This ensures organizations can still work with structured, normalized data even when no government-issued system exists.
For more on how we support global administrative structures, see our Administrative Boundaries product.
Organizations use an address database to verify up-to-date street addresses, standardize incoming data, and support routing, geocoding, planning, and operational workflows. Public-sector agencies often rely on national address databases for infrastructure planning, school district analysis, and transportation safety.
GeoPostcodes supports both commercial and government use cases by providing global address coverage that integrates smoothly with open datasets. Learn how structured address data enhances geographic analysis in Zip Code Analysis.
A complete address database connects street addresses to postal addresses, administrative divisions, and post-office regions. This improves mail routing, reduces delivery errors, and ensures consistent addressing across regions. While some countries rely on official national address databases, our global dataset ensures standardized formatting for international delivery workflows.
To see how postal regions and administrative hierarchies are structured in our data, explore the Postal Codes product page.
Yes. USPS maintains a National Address Database (NAD) containing location information to support mail delivery and address validation. This dataset is produced by the U.S. Government. While it is not the same as GeoPostcodes’ global address database, many users compare the two when evaluating coverage, format consistency, and international applicability.
For differences in global postal systems, see ZIP Code vs Postcode: Key Differences.
Always up-to-date
Our data pipelines process more than 1,500 worldwide sources every day to capture postal and administrative changes as soon as they occur. This continuous workflow ensures our global ZIP code database is always up-to-date, with weekly releases available through our download API. Through long-standing partnerships with national and international postal operators, we deliver timely, accurate updates your systems can rely on.


