Global Zip Code Dataset (9M+) | Address Data | Country, Regions, Lat/Long, City | Weekly Updated
Verified Data Provider|
iso
|
country
|
id
|
region1
|
region2
|
region3
|
region4
|
locality
|
postcode
|
suburb
|
longitude
|
elevation
|
iso2
|
fips
|
nuts
|
hasc
|
stat
|
timezone
|
utc
|
dst
|
locality_type
|
is_postal
|
is_business
|
is_po_box
|
post_town
|
||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
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 | ||
| Text | 41.885509 | Latitude | |
|
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
|
Text | 1 | |
|
is_business
|
Integer | 0 | |
|
is_po_box
|
Integer | 0 | |
|
post_town
|
Text | Chicago |
Description
Country Coverage
Volume
| 9 | Million zip codes |
| 66 | K rows updated per week |
| 4 | M 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
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Frequently asked questions
What is Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City Weekly Updated?
A truly global location dataset containing geospatial data such as zip codes, cities, and administrative divisions for address validation, supply chain management, and market analysis, updated weekly.
What is Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City 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 Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City Weekly Updated?
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.
Which countries does Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City 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 Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City Weekly Updated cost?
Pricing information for Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City 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 Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City 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, .geojson, and .kml format.
What is the data quality of Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City Weekly Updated?
GeoPostcodes has reported that this product has the following quality and accuracy assurances: 99% Match Rate. You can compare and assess the data quality of GeoPostcodes using Datarade’s data marketplace.
What are similar products to Global Zip Code Dataset (9M+) Address Data Country, Regions, Lat/Long, City Weekly Updated?
This product has 3 related products. These alternatives include Global Address Database (24M Streets) Postal, Lat/Long, Localities & Regions Weekly Updates, Address Data Address Dataset for 52M+ locations SafeGraph Places, and Global Point of Interest (POI) Data 230M+ Locations, 5000 Categories, Geographic & Location Intelligence, Regular Updates. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.
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