Global Demographic data | Census Data for Marketing & Retail Analytics | Consumer Demographic Data
Verified Data Provider| # | iso |
country |
language |
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 | |
|
language
|
Text | EN | |
|
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
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Frequently asked questions
What is Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data?
A global database that provides census data at the administrative and zip code level. Leverage up-to-date population trends for address validation, market research, and sales territory mapping.
What is Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data used for?
This product has 5 key use cases. GeoPostcodes recommends using the data for Urban Mobility Analysis, Geomarketing, Sales Intelligence, Audience Creation, and Market Analysis. Global businesses and organizations buy Demographic Data from GeoPostcodes to fuel their analytics and enrichment.
Who can use Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data?
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 Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data go?
This product has 55 years of historical coverage. It can be delivered on a yearly basis.
Which countries does Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data cover?
This product includes data covering 247 countries like USA, China, Japan, Germany, and India. GeoPostcodes is headquartered in Belgium.
How much does Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data cost?
Pricing information for Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data 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 Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data?
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 Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data?
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 Global Demographic data Census Data for Marketing & Retail Analytics Consumer Demographic Data?
This product has 3 related products. These alternatives include Global Demographic data Geodemographic data Consumer data Audience targeting data, Demographic Data 750M+ Individuals with over 100 Data Points per Profile 5x Better Quality of Global Audience Data, and Global Demographic Data 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs Audience Targeting and 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.
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The most comprehensive postal and zip code database in the world
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