Worldwide Address Database
A comprehensive database of street names, coordinates, and address ranges for Enterprise
Comprehensive address data for 247 countries
| ISO | Country | Postal codes | Coordinates | #Streets | #Languages | #Admin levels | #Time zones | #UNLOCODES |
|---|---|---|---|---|---|---|---|---|
| AF | Afghanistan | ✔ | ✔ | 1 | 2 | 1 | 65 | |
| AX | Åland | ✔ | ✔ | ✔ | 3 | 3 | 1 | 2 |
| AL | Albania | ✔ | ✔ | 2 | 3 | 1 | 25 | |
| DZ | Algeria | ✔ | ✔ | 2 | 3 | 1 | 146 | |
| AS | American Samoa | ✔ | ✔ | 1 | 2 | 1 | 5 | |
| AD | Andorra | ✔ | ✔ | ✔ | 2 | 1 | 1 | 11 |
| AO | Angola | ✔ | 2 | 3 | 1 | 82 | ||
| AI | Anguilla | ✔ | ✔ | 1 | 1 | 1 | 10 | |
| AG | Antigua & Barbuda | ✔ | 1 | 1 | 1 | 5 | ||
| AR | Argentina | ✔ | ✔ | ✔ | 2 | 3 | 1 | 601 |
| AM | Armenia | ✔ | ✔ | 2 | 3 | 1 | 25 | |
| AW | Aruba | ✔ | 1 | 1 | 1 | 10 | ||
| AU | Australia | ✔ | ✔ | ✔ | 1 | 3 | 9 | 2,581 |
| AT | Austria | ✔ | ✔ | ✔ | 2 | 3 | 1 | 1,388 |
| AZ | Azerbaijan | ✔ | ✔ | 2 | 2 | 1 | 30 | |
| BS | Bahamas | ✔ | 1 | 1 | 1 | 58 | ||
| BH | Bahrain | ✔ | ✔ | 1 | 1 | 1 | 23 | |
| BD | Bangladesh | ✔ | ✔ | 1 | 3 | 1 | 44 | |
| BB | Barbados | ✔ | ✔ | 1 | 1 | 1 | 13 | |
| BY | Belarus | ✔ | ✔ | 2 | 3 | 1 | 74 | |
| BE | Belgium | ✔ | ✔ | ✔ | 3 | 4 | 1 | 1,842 |
| BZ | Belize | ✔ | 1 | 1 | 1 | 25 | ||
| BJ | Benin | ✔ | 2 | 2 | 1 | 17 | ||
| BM | Bermuda | ✔ | ✔ | ✔ | 1 | 1 | 1 | 11 |
| BT | Bhutan | ✔ | ✔ | 1 | 2 | 1 | 3 | |
| BO | Bolivia | ✔ | 2 | 3 | 1 | 178 | ||
| BA | Bosnia-Herzegovina | ✔ | ✔ | 2 | 3 | 1 | 90 | |
| BW | Botswana | ✔ | 1 | 2 | 1 | 25 | ||
| BV | Bouvet Island | ✔ | 2 | 0 | 1 | 0 | ||
| BR | Brazil | ✔ | ✔ | ✔ | 2 | 3 | 3 | 5,633 |
| IO | British Indian Ocean Terr. | ✔ | ✔ | 1 | 0 | 1 | 1 | |
| VG | British Virgin Islands | ✔ | ✔ | 1 | 1 | 1 | 11 | |
| BN | Brunei | ✔ | ✔ | 1 | 2 | 1 | 8 | |
| BG | Bulgaria | ✔ | ✔ | 2 | 3 | 1 | 331 | |
| BF | Burkina Faso | ✔ | ✔ | 2 | 3 | 1 | 46 | |
| BI | Burundi | ✔ | 2 | 3 | 1 | 17 | ||
| KH | Cambodia | ✔ | ✔ | 2 | 3 | 1 | 27 | |
| CM | Cameroon | ✔ | 2 | 3 | 1 | 41 | ||
| CA | Canada | ✔ | ✔ | ✔ | 2 | 3 | 10 | 3,206 |
| CV | Cape Verde | ✔ | ✔ | 2 | 2 | 1 | 22 | |
| KY | Cayman Islands | ✔ | ✔ | 1 | 1 | 1 | 4 | |
| CF | Central African Republic | ✔ | 2 | 3 | 1 | 42 | ||
| TD | Chad | ✔ | 2 | 3 | 1 | 42 | ||
| CL | Chile | ✔ | ✔ | ✔ | 2 | 3 | 3 | 488 |
| CN | China | ✔ | ✔ | 2 | 4 | 3 | 1,659 | |
| CX | Christmas Island | ✔ | ✔ | ✔ | 1 | 0 | 1 | 2 |
| CC | Cocos (Keeling) Islands | ✔ | ✔ | ✔ | 1 | 0 | 1 | 1 |
| CO | Colombia | ✔ | ✔ | ✔ | 2 | 4 | 1 | 375 |
| KM | Comoros | ✔ | 1 | 1 | 1 | 8 | ||
| CD | Congo D.R. | ✔ | 2 | 3 | 2 | 82 | ||
| CG | Congo-Brazzaville | ✔ | 1 | 2 | 1 | 33 | ||
| CK | Cook Islands | ✔ | 1 | 1 | 1 | 11 | ||
| CR | Costa Rica | ✔ | ✔ | 2 | 3 | 1 | 257 | |
| CI | Côte d'Ivoire | ✔ | 2 | 4 | 1 | 61 | ||
| HR | Croatia | ✔ | ✔ | ✔ | 2 | 2 | 1 | 402 |
| CU | Cuba | ✔ | ✔ | 2 | 2 | 1 | 69 | |
| CW | Curaçao | ✔ | 1 | 0 | 1 | 14 | ||
| CY | Cyprus | ✔ | ✔ | ✔ | 2 | 1 | 1 | 15 |
| CZ | Czechia | ✔ | ✔ | ✔ | 2 | 3 | 1 | 1,503 |
| DK | Denmark | ✔ | ✔ | ✔ | 2 | 4 | 1 | 753 |
| DJ | Djibouti | ✔ | 1 | 2 | 1 | 8 | ||
| DM | Dominica | ✔ | 1 | 1 | 1 | 5 | ||
| DO | Dominican Republic | ✔ | ✔ | 2 | 4 | 1 | 87 | |
| EC | Ecuador | ✔ | ✔ | ✔ | 2 | 3 | 2 | 154 |
| EG | Egypt | ✔ | ✔ | 2 | 2 | 1 | 116 | |
| SV | El Salvador | ✔ | ✔ | 2 | 2 | 1 | 75 | |
| GQ | Equatorial Guinea | ✔ | 1 | 3 | 1 | 15 | ||
| ER | Eritrea | ✔ | 1 | 2 | 1 | 4 | ||
| EE | Estonia | ✔ | ✔ | ✔ | 2 | 2 | 1 | 368 |
| SZ | Eswatini | ✔ | ✔ | 1 | 2 | 1 | 18 | |
| ET | Ethiopia | ✔ | 1 | 3 | 1 | 61 | ||
| FK | Falkland Islands | ✔ | ✔ | 1 | 0 | 1 | 4 | |
| FO | Faroe Islands | ✔ | ✔ | ✔ | 2 | 2 | 1 | 27 |
| FJ | Fiji | ✔ | 1 | 3 | 1 | 41 | ||
| FI | Finland | ✔ | ✔ | ✔ | 3 | 4 | 1 | 779 |
| FR | France | ✔ | ✔ | ✔ | 2 | 4 | 1 | 14,417 |
| GF | French Guiana | ✔ | ✔ | ✔ | 2 | 4 | 1 | 18 |
| PF | French Polynesia | ✔ | ✔ | 2 | 2 | 3 | 60 | |
| TF | French Southern Territories | ✔ | 2 | 1 | 1 | 1 | ||
| GA | Gabon | ✔ | 1 | 2 | 1 | 56 | ||
| GM | Gambia | ✔ | 1 | 2 | 1 | 18 | ||
| GE | Georgia | ✔ | ✔ | 2 | 2 | 1 | 60 | |
| DE | Germany | ✔ | ✔ | ✔ | 2 | 4 | 1 | 9,977 |
| GH | Ghana | ✔ | ✔ | 1 | 2 | 1 | 60 | |
| GI | Gibraltar | ✔ | ✔ | ✔ | 1 | 0 | 1 | 2 |
| GR | Greece | ✔ | ✔ | 2 | 3 | 1 | 758 | |
| GL | Greenland | ✔ | ✔ | ✔ | 1 | 1 | 4 | 47 |
| GD | Grenada | ✔ | 1 | 1 | 1 | 5 | ||
| GP | Guadeloupe | ✔ | ✔ | ✔ | 2 | 4 | 1 | 32 |
| GU | Guam | ✔ | ✔ | ✔ | 1 | 1 | 1 | 14 |
| GT | Guatemala | ✔ | ✔ | 2 | 2 | 1 | 182 | |
| GG | Guernsey | ✔ | ✔ | ✔ | 1 | 1 | 1 | 4 |
| GN | Guinea | ✔ | 1 | 4 | 1 | 48 | ||
| GW | Guinea-Bissau | ✔ | 1 | 3 | 1 | 8 | ||
| GY | Guyana | ✔ | 1 | 2 | 1 | 43 | ||
| HT | Haiti | ✔ | ✔ | 2 | 4 | 1 | 28 | |
| HM | Heard & McDonald Islands | ✔ | ✔ | 1 | 0 | 1 | 2 | |
| HN | Honduras | ✔ | ✔ | 2 | 2 | 1 | 137 | |
| HK | Hong Kong | ✔ | ✔ | 2 | 2 | 1 | 70 | |
| HU | Hungary | ✔ | ✔ | ✔ | 2 | 3 | 1 | 792 |
| IS | Iceland | ✔ | ✔ | ✔ | 2 | 2 | 1 | 102 |
| IN | India | ✔ | ✔ | 1 | 4 | 1 | 1,323 | |
| ID | Indonesia | ✔ | ✔ | 2 | 3 | 3 | 743 | |
| IR | Iran | ✔ | ✔ | 2 | 1 | 1 | 157 | |
| IQ | Iraq | ✔ | ✔ | 1 | 2 | 1 | 73 | |
| IE | Ireland | ✔ | ✔ | ✔ | 2 | 3 | 1 | 551 |
| IM | Isle of Man | ✔ | ✔ | ✔ | 1 | 2 | 1 | 12 |
| IL | Israel | ✔ | ✔ | ✔ | 2 | 3 | 1 | 381 |
| IT | Italy | ✔ | ✔ | ✔ | 2 | 3 | 1 | 5,694 |
| JM | Jamaica | ✔ | 1 | 1 | 1 | 67 | ||
| JP | Japan | ✔ | ✔ | 3 | 4 | 1 | 2,159 | |
| JE | Jersey | ✔ | ✔ | ✔ | 1 | 1 | 1 | 9 |
| JO | Jordan | ✔ | ✔ | 2 | 3 | 1 | 27 | |
| KZ | Kazakhstan | ✔ | ✔ | ✔ | 3 | 2 | 6 | 85 |
| KE | Kenya | ✔ | ✔ | 1 | 3 | 1 | 67 | |
| KI | Kiribati | ✔ | ✔ | 1 | 2 | 3 | 30 | |
| XK | Kosovo | ✔ | ✔ | 3 | 2 | 1 | 15 | |
| KW | Kuwait | ✔ | ✔ | 2 | 1 | 1 | 31 | |
| KG | Kyrgyzstan | ✔ | ✔ | 2 | 2 | 1 | 8 | |
| LA | Laos | ✔ | ✔ | 1 | 3 | 1 | 48 | |
| LV | Latvia | ✔ | ✔ | ✔ | 2 | 2 | 1 | 182 |
| LB | Lebanon | ✔ | ✔ | 2 | 3 | 1 | 77 | |
| LS | Lesotho | ✔ | ✔ | 1 | 2 | 1 | 20 | |
| LR | Liberia | ✔ | ✔ | 1 | 3 | 1 | 29 | |
| LY | Libya | ✔ | 1 | 1 | 1 | 53 | ||
| LI | Liechtenstein | ✔ | ✔ | ✔ | 2 | 1 | 1 | 11 |
| LT | Lithuania | ✔ | ✔ | ✔ | 2 | 3 | 1 | 138 |
| LU | Luxembourg | ✔ | ✔ | ✔ | 2 | 2 | 1 | 190 |
| MO | Macau | ✔ | 2 | 1 | 1 | 1 | ||
| MG | Madagascar | ✔ | ✔ | 2 | 4 | 1 | 80 | |
| MW | Malawi | ✔ | ✔ | 1 | 2 | 1 | 22 | |
| MY | Malaysia | ✔ | ✔ | ✔ | 1 | 2 | 1 | 354 |
| MV | Maldives | ✔ | ✔ | ✔ | 1 | 3 | 1 | 23 |
| ML | Mali | ✔ | ✔ | 2 | 3 | 1 | 44 | |
| MT | Malta | ✔ | ✔ | ✔ | 2 | 2 | 1 | 92 |
| MH | Marshall Islands | ✔ | ✔ | 1 | 2 | 1 | 36 | |
| MQ | Martinique | ✔ | ✔ | ✔ | 2 | 4 | 1 | 28 |
| MR | Mauritania | ✔ | 1 | 3 | 1 | 27 | ||
| MU | Mauritius | ✔ | ✔ | 1 | 1 | 1 | 70 | |
| YT | Mayotte | ✔ | ✔ | ✔ | 2 | 3 | 1 | 12 |
| MX | Mexico | ✔ | ✔ | ✔ | 2 | 2 | 6 | 965 |
| FM | Micronesia | ✔ | ✔ | 1 | 1 | 2 | 17 | |
| UM | Minor Outlying Islands | ✔ | ✔ | 1 | 1 | 4 | 9 | |
| MD | Moldova | ✔ | ✔ | 2 | 2 | 1 | 54 | |
| MC | Monaco | ✔ | ✔ | ✔ | 2 | 1 | 1 | 2 |
| MN | Mongolia | ✔ | ✔ | 2 | 2 | 3 | 27 | |
| ME | Montenegro | ✔ | ✔ | 2 | 1 | 1 | 22 | |
| MS | Montserrat | ✔ | 1 | 1 | 1 | 4 | ||
| MA | Morocco | ✔ | ✔ | 3 | 4 | 1 | 119 | |
| MZ | Mozambique | ✔ | ✔ | 2 | 3 | 1 | 59 | |
| MM | Myanmar (Burma) | ✔ | ✔ | 2 | 4 | 1 | 72 | |
| NA | Namibia | ✔ | ✔ | 1 | 2 | 1 | 47 | |
| NR | Nauru | ✔ | ✔ | 1 | 1 | 1 | 2 | |
| NP | Nepal | ✔ | ✔ | 1 | 3 | 1 | 63 | |
| NL | Netherlands | ✔ | ✔ | ✔ | 2 | 2 | 2 | 1,870 |
| NC | New Caledonia | ✔ | ✔ | 2 | 2 | 1 | 35 | |
| NZ | New Zealand | ✔ | ✔ | ✔ | 1 | 2 | 2 | 340 |
| NI | Nicaragua | ✔ | ✔ | 2 | 2 | 1 | 84 | |
| NE | Niger | ✔ | ✔ | 2 | 3 | 1 | 19 | |
| NG | Nigeria | ✔ | ✔ | 1 | 3 | 1 | 162 | |
| NU | Niue | ✔ | ✔ | 1 | 0 | 1 | 2 | |
| NF | Norfolk Island | ✔ | ✔ | ✔ | 1 | 0 | 1 | 1 |
| KP | North Korea | ✔ | 1 | 2 | 1 | 21 | ||
| MP | Northern Mariana Islands | ✔ | ✔ | 1 | 1 | 1 | 3 | |
| NO | Norway | ✔ | ✔ | ✔ | 2 | 2 | 1 | 1,143 |
| OM | Oman | ✔ | ✔ | 2 | 2 | 1 | 38 | |
| PK | Pakistan | ✔ | ✔ | 1 | 3 | 1 | 210 | |
| PW | Palau | ✔ | ✔ | 1 | 1 | 1 | 3 | |
| PS | Palestine | ✔ | ✔ | 2 | 2 | 1 | 4 | |
| PA | Panama | ✔ | 2 | 3 | 1 | 530 | ||
| PG | Papua New Guinea | ✔ | ✔ | 1 | 2 | 2 | 446 | |
| PY | Paraguay | ✔ | ✔ | 2 | 3 | 1 | 83 | |
| PE | Peru | ✔ | ✔ | 2 | 3 | 1 | 201 | |
| PH | Philippines | ✔ | ✔ | 1 | 3 | 1 | 596 | |
| PN | Pitcairn Islands | ✔ | ✔ | 1 | 0 | 1 | 1 | |
| PL | Poland | ✔ | ✔ | ✔ | 2 | 3 | 1 | 1,944 |
| PT | Portugal | ✔ | ✔ | ✔ | 2 | 3 | 2 | 948 |
| PR | Puerto Rico | ✔ | ✔ | ✔ | 1 | 1 | 1 | 101 |
| QA | Qatar | ✔ | ✔ | 2 | 2 | 1 | 29 | |
| MK | Republic of North Macedonia | ✔ | ✔ | 2 | 2 | 1 | 60 | |
| RE | Réunion | ✔ | ✔ | ✔ | 2 | 4 | 1 | 27 |
| RO | Romania | ✔ | ✔ | ✔ | 2 | 3 | 1 | 667 |
| RU | Russia | ✔ | ✔ | ✔ | 2 | 3 | 14 | 858 |
| RW | Rwanda | ✔ | 1 | 3 | 1 | 19 | ||
| BL | Saint Barthélemy | ✔ | ✔ | ✔ | 2 | 0 | 1 | 1 |
| SH | Saint Helena | ✔ | ✔ | 1 | 2 | 1 | 6 | |
| KN | Saint Kitts and Nevis | ✔ | ✔ | 1 | 1 | 1 | 4 | |
| LC | Saint Lucia | ✔ | ✔ | 1 | 1 | 1 | 6 | |
| MF | Saint Martin | ✔ | ✔ | ✔ | 2 | 0 | 1 | 7 |
| PM | Saint Pierre & Miquelon | ✔ | ✔ | ✔ | 2 | 1 | 1 | 2 |
| WS | Samoa | ✔ | 1 | 2 | 1 | 7 | ||
| SM | San Marino | ✔ | ✔ | ✔ | 2 | 1 | 1 | 12 |
| ST | São Tomé & Príncipe | ✔ | 1 | 2 | 1 | 13 | ||
| SA | Saudi Arabia | ✔ | ✔ | 2 | 2 | 1 | 92 | |
| SN | Senegal | ✔ | ✔ | 2 | 4 | 1 | 32 | |
| RS | Serbia | ✔ | ✔ | 2 | 3 | 1 | 195 | |
| SC | Seychelles | ✔ | 1 | 1 | 1 | 10 | ||
| SL | Sierra Leone | ✔ | 1 | 3 | 1 | 15 | ||
| SG | Singapore | ✔ | ✔ | ✔ | 1 | 2 | 1 | 27 |
| SX | Sint Maarten | ✔ | ✔ | 2 | 0 | 1 | 5 | |
| SK | Slovakia | ✔ | ✔ | 2 | 3 | 1 | 555 | |
| SI | Slovenia | ✔ | ✔ | 2 | 2 | 1 | 463 | |
| SB | Solomon Islands | ✔ | 1 | 1 | 1 | 53 | ||
| SO | Somalia | ✔ | 1 | 2 | 1 | 28 | ||
| ZA | South Africa | ✔ | ✔ | 2 | 3 | 1 | 791 | |
| GS | South Georgia & Sandwich | ✔ | ✔ | 1 | 0 | 1 | 2 | |
| KR | South Korea | ✔ | ✔ | ✔ | 2 | 2 | 1 | 279 |
| SS | South Sudan | ✔ | 1 | 2 | 1 | 18 | ||
| ES | Spain | ✔ | ✔ | ✔ | 2 | 4 | 2 | 4,719 |
| LK | Sri Lanka | ✔ | ✔ | 2 | 3 | 1 | 151 | |
| VC | St Vinc. & Grenadines | ✔ | ✔ | 1 | 1 | 1 | 10 | |
| SD | Sudan | ✔ | 1 | 2 | 1 | 32 | ||
| SR | Suriname | ✔ | 2 | 2 | 1 | 27 | ||
| SJ | Svalbard and Jan Mayen | ✔ | ✔ | ✔ | 2 | 1 | 1 | 6 |
| SE | Sweden | ✔ | ✔ | ✔ | 2 | 2 | 1 | 1,198 |
| CH | Switzerland | ✔ | ✔ | ✔ | 4 | 3 | 1 | 1,557 |
| SY | Syria | ✔ | 2 | 3 | 1 | 19 | ||
| TW | Taiwan | ✔ | ✔ | ✔ | 2 | 2 | 1 | 68 |
| TJ | Tajikistan | ✔ | ✔ | 3 | 2 | 1 | 13 | |
| TZ | Tanzania | ✔ | ✔ | ✔ | 1 | 3 | 1 | 71 |
| TH | Thailand | ✔ | ✔ | 2 | 3 | 1 | 205 | |
| TL | Timor-Leste | ✔ | 1 | 3 | 1 | 11 | ||
| TG | Togo | ✔ | 1 | 2 | 1 | 10 | ||
| TK | Tokelau | ✔ | 2 | 0 | 1 | 3 | ||
| TO | Tonga | ✔ | 1 | 2 | 1 | 8 | ||
| TT | Trinidad & Tobago | ✔ | ✔ | 1 | 2 | 1 | 66 | |
| TN | Tunisia | ✔ | ✔ | 2 | 2 | 1 | 115 | |
| TR | Turkey | ✔ | ✔ | 2 | 4 | 1 | 653 | |
| TM | Turkmenistan | ✔ | ✔ | 1 | 2 | 1 | 45 | |
| TC | Turks and Caicos Islands | ✔ | ✔ | 1 | 2 | 1 | 8 | |
| TV | Tuvalu | ✔ | 1 | 1 | 1 | 1 | ||
| VI | U.S. Virgin Islands | ✔ | ✔ | ✔ | 1 | 1 | 1 | 14 |
| UG | Uganda | ✔ | ✔ | 1 | 4 | 1 | 40 | |
| UA | Ukraine | ✔ | ✔ | ✔ | 2 | 3 | 1 | 276 |
| AE | United Arab Emirates | ✔ | 1 | 2 | 1 | 71 | ||
| GB | United Kingdom | ✔ | ✔ | ✔ | 1 | 4 | 1 | 5,866 |
| US | United States | ✔ | ✔ | ✔ | 1 | 2 | 8 | 20,867 |
| UY | Uruguay | ✔ | ✔ | ✔ | 2 | 1 | 1 | 69 |
| UZ | Uzbekistan | ✔ | ✔ | 2 | 2 | 1 | 42 | |
| VU | Vanuatu | ✔ | 1 | 1 | 1 | 36 | ||
| VA | Vatican | ✔ | ✔ | ✔ | 2 | 0 | 1 | 1 |
| VE | Venezuela | ✔ | ✔ | 2 | 3 | 1 | 210 | |
| VN | Vietnam | ✔ | ✔ | 2 | 4 | 1 | 241 | |
| WF | Wallis and Futuna | ✔ | ✔ | 2 | 2 | 1 | 5 | |
| YE | Yemen | ✔ | 2 | 2 | 1 | 49 | ||
| ZM | Zambia | ✔ | 1 | 2 | 1 | 65 | ||
| ZW | Zimbabwe | ✔ | 1 | 3 | 1 | 54 |
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Address ranges
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Comprehensive city definitions
Administrative areas
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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
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Get automatic differential updates and a list of historical ID changes by using our download API.
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The Normalized tables provide unique and interrelated lists of the different entities in the dataset: countries, administrative levels, places/localities, and postal codes.
Links between tables are made through record IDs, and constraints (e.g., uniqueness, foreign keys, etc.) ensure the integrity of the data.
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Zip code data
Global dataset containing all administrative divisions, cities and zip codes.
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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.
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Frequently Asked Questions
The address database typically refers to a comprehensive collection of physical addresses, including street names, house numbers, cities, and postal codes, used for various purposes like mail delivery, location-based services, and more.
In many countries, the local government maintains a national address database to facilitate mail delivery, federal government services, and census purposes. The USPS manages the National Address Database (NAD), a state data compilation of validated mailing addresses in the United States.
The U.S. Department of Transportation (USDOT) and its partners from all federal government levels, such as the Federal Geographic Data Committee, recognized the need for a National Address Database (NAD). An accurate and up-to-date national address database is critical to transportation safety.
The National Address Database (NAD) is a compilation of data provided by state, local, and tribal governments and is made available “as is.”. It is a work of the federal government and as such, is not subject to copyright protection. As state address programs expand and mature, USDOT expects the coverage to expand as well.
USPS does maintain a National Address Database (NAD) comprising accurate location information for mail delivery efficiency and validation purposes.
Addresses in a database are stored using a structured format, usually separating elements like street name, house number, city, state, and ZIP code into distinct fields for easy retrieval and organization. Various national address databases use different formats, but they commonly employ relational structures or key-value pairs to store address information efficiently.
Some addresses, like businesses and government offices, are publicly accessible.
Personal information linked to residential addresses (name, phone number, ID number) is classified as private.
Each country has its own set of regulations on data protection.
When handling address information, it’s recommended to use authorized databases like GeoPostcodes.
Some addresses, like businesses and government offices, are publicly accessible.
Personal information linked to residential addresses (name, phone number, ID number) is classified as private.
Each country has its own set of regulations on data protection.
When handling address information, it’s recommended to use authorized databases like GeoPostcodes.
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