GeoPostcodes Geospatial Data | Address Data | 24 M Streets Database | Geocoded | Global coverage| Weekly Updates
Verified Data Provider| # | iso |
country |
id |
region1 |
region2 |
region3 |
region4 |
locality |
postcode |
suburb |
street |
range |
building |
latitude |
longitude |
elevation |
iso2 |
fips |
nuts |
hasc |
stat |
timezone |
utc |
dst |
locality_type |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
| 2 | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx |
| 3 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
| 4 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
| 5 | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
| 6 | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx |
| 7 | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx |
| 8 | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx |
| 9 | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx |
| 10 | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx |
| ... | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
iso
|
Text | US | |
|
country
|
Text | United States | |
| Text | EN | Language Name | |
|
id
|
Integer | 2190991580 | |
|
region1
|
String | Illinois | |
|
region2
|
String | Cook | |
|
region3
|
Text | ||
|
region4
|
Text | ||
|
locality
|
Text | Chicago | |
|
postcode
|
Text | 60617 | |
|
suburb
|
Text | ||
|
street
|
String | 122nd Street | |
|
range
|
Text | ||
|
building
|
Text | ||
|
latitude
|
Text | 41.875562 | |
|
longitude
|
Text | -87.624421 | |
|
elevation
|
Integer | 194 | |
|
iso2
|
Text | US-IL | |
|
fips
|
Text | 17031 | |
|
nuts
|
Text | ||
|
hasc
|
Text | US.IL.CO | |
|
stat
|
Text | IL031 | |
|
timezone
|
Text | America/Chicago | |
|
utc
|
Text | -06:00 | |
|
dst
|
Text | -05:00 | |
|
locality_type
|
Text | town |
Description
Country Coverage
History
Volume
| 24 million | Streets |
| 23 million | Street Coordinates |
| 3.9 million | Cities |
Pricing
| License | Starts at |
|---|---|
| One-off purchase | Not available |
| Monthly License | Not available |
| Yearly License | Available |
| Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates?
Global address data for address validation, last-mile delivery, and supply chain management. Includes all administrative areas, localities, streets, and relevant zip codes.
What is GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Geotargeting, Supply Chain Management, Address Validation, Geomarketing, and Master Data Management (MDM). Global businesses and organizations buy Location Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates?
This product is best suited if you’re a Enterprise or Medium-sized Business looking for Location Data. Get in touch with GeoPostcodes to see what their data can do for your business and find out which integrations they provide.
How far back does the data in GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates go?
This product has 0 days of historical coverage. It can be delivered on a weekly basis.
Which countries does GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates cover?
This product includes data covering 137 countries like USA, Germany, United Kingdom, France, and Brazil. GeoPostcodes is headquartered in Belgium.
How much does GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates cost?
Pricing information for GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates is available by getting in contact with GeoPostcodes. Connect with GeoPostcodes to get a quote and arrange custom pricing models based on your data requirements.
How can I get GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates?
Businesses can buy Location Data from GeoPostcodes and get the data via UI Export and REST API. Depending on your data requirements and subscription budget, GeoPostcodes can deliver this product in .csv format.
What is the data quality of GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates?
GeoPostcodes has reported that this product has the following quality and accuracy assurances: 95% match rate. You can compare and assess the data quality of GeoPostcodes using Datarade’s data marketplace.
What are similar products to GeoPostcodes Geospatial Data Address Data 24 M Streets Database Geocoded Global coverage Weekly Updates?
This product has 3 related products. These alternatives include GeoPostcodes Geospatial Data Map Data 24 M Streets Database Address Data and Zip Code Data Geocoded Global coverage Weekly Updates, SafeGraph: Location Data - Global Coverage 52M+ POIs, and The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
GeoPostcodes
The most comprehensive postal and zip code database in the world
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