GeoPostcodes Real Estate Data | Urban Planning Data | Demographic data | 55 year span | Global coverage
Verified Data Provider| # | iso |
country |
level |
type |
name |
region1 |
region2 |
iso2 |
pop1975 |
pop1980 |
pop1985 |
pop1990 |
pop1995 |
pop2000 |
pop2005 |
pop2010 |
pop2015 |
pop2020 |
pop2025 |
square_km |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx |
| 2 | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx |
| 3 | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 4 | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx |
| 5 | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
| 6 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx |
| 7 | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx |
| 8 | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx |
| 9 | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx |
| 10 | 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 |
Data Dictionary
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
iso
|
Text | US | |
|
country
|
Text | United States | |
| Text | EN | Language Name | |
|
level
|
Integer | 0 | |
|
type
|
String | Country | |
|
name
|
Text | United States | |
|
region1
|
Text | ||
|
region2
|
Text | ||
|
iso2
|
Text | ||
|
pop1975
|
Integer | 211201202 | |
|
pop1980
|
Integer | 223061867 | |
|
pop1985
|
Integer | 235062372 | |
|
pop1990
|
Integer | 247992022 | |
|
pop1995
|
Integer | 265564243 | |
|
pop2000
|
Integer | 282298431 | |
|
pop2005
|
Integer | 296737221 | |
|
pop2010
|
Integer | 311073280 | |
|
pop2015
|
Integer | 324494269 | |
|
pop2020
|
Integer | 335825552 | |
|
pop2025
|
Integer | 343483028 | |
|
square_km
|
Integer | 352038122 |
Description
Country Coverage
History
Volume
| 55 | Year span |
| 246 | Countries |
| 880,000 | Boundary shapes |
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 Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage?
A global database that provides demographic data at the administrative and zip code level. Leverage up-to-date population trends for urban planning, market research, and sales territory mapping.
What is GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Urban Mobility Analysis, Geomarketing, Sales Intelligence, Audience Creation, and Real Estate Insights. Global businesses and organizations buy Demographic Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage?
This product is best suited if you’re a Medium-sized Business or Enterprise looking for Demographic 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 Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage go?
This product has 55 years of historical coverage. It can be delivered on a yearly basis.
Which countries does GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage cover?
This product includes data covering 247 countries like USA, China, Japan, Germany, and India. GeoPostcodes is headquartered in Belgium.
How much does GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage cost?
Pricing information for GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage 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 Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage?
Businesses can buy Demographic 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 Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage?
GeoPostcodes has reported that this product has the following quality and accuracy assurances: 99% Source match. You can compare and assess the data quality of GeoPostcodes using Datarade’s data marketplace.
What are similar products to GeoPostcodes Real Estate Data Urban Planning Data Demographic data 55 year span Global coverage?
This product has 3 related products. These alternatives include GeoPostcodes Population Data Demographic data Geodemographic data Consumer data Audience targeting data 55 year span Global coverage, Xverum Demographic Data 700M+ Individuals with over 100 Data Points per Profile 5x Better Quality of Global Audience Data, and Start.io Global Demographic Data 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs Audience Activation. You can compare the best Demographic 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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