GeoPostcodes Geospatial Data | Location data | Geographic data | Global coverage | 8.6 M Zip codes | Geocoded | Weekly Updated
# | iso |
country |
language |
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
|
String | US | |
country
|
String | United States | |
language
|
String | EN | |
id
|
Integer | 1002052462 | |
region1
|
String | Illinois | |
region2
|
String | Cook | |
region3
|
|||
region4
|
|||
locality
|
String | Chicago | |
postcode
|
Integer | 60601 | |
suburb
|
|||
latitude
|
Float | 41.885509 | |
longitude
|
Float | -87.623328 | |
elevation
|
Integer | 263 | |
iso2
|
String | US-IL | |
fips
|
Integer | 17031 | |
nuts
|
|||
hasc
|
String | US.IL.CO | |
stat
|
String | IL031 | |
timezone
|
String | America/Chicago | |
utc
|
String | -06:00 | |
dst
|
String | -05:00 | |
locality_type
|
String | town | |
is_postal
|
Integer | 1 | |
is_business
|
Integer | 0 | |
is_po_box
|
Integer | 0 | |
post_town
|
String | Chicago |
Description
Geography
History
Volume
8.6 million | Zip codes |
66,000 | Rows updated per week |
4 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 Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated?
A truly global location dataset containing global geospatial data for address validation, supply chain management, and market analysis, updated weekly.
What is GeoPostcodes Geospatial Data Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Business Intelligence (BI), Supply Chain Management, Address Validation, Geomarketing, and Data Visualization. Global businesses and organizations buy Location Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use GeoPostcodes Geospatial Data Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated?
This product is best suited if you’re a 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.
How far back does the data in GeoPostcodes Geospatial Data Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated go?
This Tabular Data has 0 days of historical coverage. It can be delivered on a weekly basis.
Which countries does GeoPostcodes Geospatial Data Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated 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 Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated cost?
Pricing information for GeoPostcodes Geospatial Data Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated 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 Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated?
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 Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated?
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 Location data Geographic data Global coverage 8.6 M Zip codes Geocoded Weekly Updated?
This Tabular Data has 3 related products. These alternatives include Grepsr Comprehensive Dataset of Fast-food Chains’ Store (Starbucks, Mcdonalds, Subway, & more) Location, Location Data Store / Business location Data Global Coverage 400M+ Contacts (Verified E-mail, Direct Dails) Decision Makers 20+ Attributes , and The Data Appeal Global Business Location Data 200 Million+ POI Data Mapped Coverage from 2019 API, Dataset. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.