GeoPostcodes Geospatial Data | Address Validation at Zip Code level | Global coverage | 8.6 M Zip codes | Data cleaning & validation
# | iso |
country |
id |
region1 |
region2 |
region3 |
region4 |
locality |
postcode |
suburb |
latitude |
longitude |
elevation |
iso2 |
fips |
nuts |
hasc |
stat |
timezone |
utc |
dst |
locality_type |
is_postal |
is_business |
is_po_box |
post_town |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Xxxxxxxx |
2 | 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 | Xxxxx | xxxxxxxxxx |
3 | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx |
5 | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx |
6 | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx |
7 | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
8 | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
9 | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx |
10 | 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 | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
iso
|
Text | US | |
country
|
Text | United States | |
Text | EN | Language Name | |
id
|
Integer | 1002052462 | |
region1
|
Text | Illinois | |
region2
|
Text | Cook | |
region3
|
Text | ||
region4
|
Text | ||
locality
|
Text | Chicago | |
postcode
|
Text | 60601 | |
suburb
|
Text | ||
latitude
|
Text | 41.885509 | |
longitude
|
Text | -87.623328 | |
elevation
|
Integer | 263 | |
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 | |
is_postal
|
Integer | 1 | |
is_business
|
Integer | 0 | |
is_po_box
|
Integer | 0 | |
post_town
|
Text | Chicago |
Description
Country Coverage
Volume
8.6 million | Zip codes |
299 | Languages |
247 | Countries |
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 Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation?
A truly global zip code dataset containing geospatial data such as zip codes, cities, and administrative divisions for address validation, address cleaning and address autocomplete, updated weekly.
What is GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Business Intelligence (BI), Supply Chain Management, Address Validation, Location Verification, and Data Cleansing. Global businesses and organizations buy Location Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation?
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 GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation cover?
This product includes data covering 247 countries like USA, China, Japan, Germany, and India. GeoPostcodes is headquartered in Belgium.
How much does GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation cost?
Pricing information for GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation 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 Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation?
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 Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation?
GeoPostcodes has reported that this product has the following quality and accuracy assurances: 100% Quality check. You can compare and assess the data quality of GeoPostcodes using Datarade’s data marketplace.
What are similar products to GeoPostcodes Geospatial Data Address Validation at Zip Code level Global coverage 8.6 M Zip codes Data cleaning & validation?
This product has 3 related products. These alternatives include GeoPostcodes Geospatial Data Location data Geographic data Zip Code Database Global coverage 8.6 M Zip codes Geocoded Weekly Updated, The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset, and Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.