Geospatial Data | Address Data Enrichment | International Address data | Geocoded
# | 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
|
Text | Illinois | |
region2
|
Text | Cook | |
region3
|
Text | ||
region4
|
Text | ||
locality
|
Text | Chicago | |
postcode
|
Integer | 60617 | |
suburb
|
Text | ||
street
|
Text | 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
Volume
24 | M streets |
23 | M street coordinates |
4 | M cities |
Pricing
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Geospatial Data Address Data Enrichment International Address data Geocoded?
Global address data for address data enrichment, address validation, last-mile delivery, and supply chain management. Includes all administrative areas, localities, streets, and relevant zip codes.
What is Geospatial Data Address Data Enrichment International Address data Geocoded used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Geotargeting, Address Validation, Geomarketing, Master Data Management (MDM), and Address Data Enrichment. Global businesses and organizations buy Location Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use Geospatial Data Address Data Enrichment International Address data Geocoded?
This product is best suited if you’re a Medium-sized Business or Enterprise 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.
Which countries does Geospatial Data Address Data Enrichment International Address data Geocoded cover?
This product includes data covering 137 countries like USA, Germany, United Kingdom, France, and Brazil. GeoPostcodes is headquartered in Belgium.
How much does Geospatial Data Address Data Enrichment International Address data Geocoded cost?
Pricing information for Geospatial Data Address Data Enrichment International Address data Geocoded 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 Geospatial Data Address Data Enrichment International Address data Geocoded?
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 Geospatial Data Address Data Enrichment International Address data Geocoded?
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 Geospatial Data Address Data Enrichment International Address data Geocoded?
This product has 3 related products. These alternatives include Geospatial Data Address Data Geocoded Global coverage Weekly Updates, Address Data Address Dataset for 52M+ locations SafeGraph Places, and Google Address Data, Google Address API, Google location API, Google Map API, Business Location Data- 100 M Google Address Data Available. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.