- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is Geodemographic Data?
Geodemographic data is a sub-category of geospatial data. Geodemographic data refers to location-based data that segments individuals based on where they live and their demographic profile. Geodemographic data takes comparisons and characteristics of individuals in locations and begins to classify them into different segments based on these observations. Geodemographic data is mostly used by individuals in marketing, to determine which segments exist, classify other individuals into these groups, and make business-related, informed decisions on these findings.
Examples of geodemographic data include information about population density, household income, education levels, age distribution, and consumer behavior within specific geographic areas. Geodemographic data is used for market research, urban planning, targeted advertising, and resource allocation. In this page, you’ll find the best data sources for geodemographic data.
Best Geodemographic Databases & Datasets
Here is our curated selection of top Geodemographic Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Global Demographic data | Geodemographic data | Consumer data | Audience targeting data
Doorda UK Population Data | Geodemographic Data | Linked to 2.2M+ Postcodes from 173 Data Sources | Location Intelligence and Analytics
Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Demographics, Retail Spend | GIS Data | Map Data
PREDIK Data-Driven: Geospatial Data | Mexico | Geodemographic Information Dataset
Canadian Demographic Data | Geodemographic Data: Gender, Age, Education, Income, etc.
Audience Targeting Data | Mobile IP Data | Home & Work Locations of Mobile Devices | Geodemographic Data | 200M Home/Work Locations
Success.ai | Intent Data | 15k Topics for Keyword, Sentiment, and Web Activity data – Best Price Guarantee
Doorda UK Health Data | Demographic Patient Data: 20 Data Sources | Local Health Insights for 1.8M Postcodes
Premium GIS Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Retail Spend, Demographics | Map Data | Demographic Data
Tourism Data | Travel Data | 330M+ Global Devices | CCPA Compliant
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Top Geodemographic Data Providers & Companies
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GapMaps
CoverageUSACanada+153VWe use GapMaps’ data offering extensively to identify and approve locations for Anytime Fitness sites across Southeast Asia. This data helps Inspire Brands Asia make informed decisions, ensuring that each new gym location meets our strategic criteria and has the potential for success. The insights from GapMaps enable us to understand market demographics, competition, and accessibility, which are crucial for our expansion plans.
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Environics Analytics
CoverageCanadaAt Environics Analytics, we have Canada’s largest collection of high-quality, actionable data, and our list of sources and resulting data products is growing. We deliver world class analytical expertise and tools though collaborative and results-oriented approachPrivacyComplient2,000+Clients60Authoritative Databases -
London Data Unit
CoverageUSAUK+247We are a London based Practice of data-science & design-thinking hybrids. We don't do 'raw' data - we package, complex and time-consuming to create, pre-engineered features for location intelligence & data enrichment - so you can by-pass the engineering and go straight to the insight.SavesMonths of Engineering effort190+GeographiesScalesfrom Cities to Continents -
GeoPostcodes
CoverageUSAUK+248GeoPostcodes provides the world's most comprehensive zip code data for Enterprise customers. Our database includes zip codes, cities, and administrative areas for 247 countries and is updated weekly. 124 Fortune 500 companies trust us, including IBM, DB Schenker, Ernst & Young, and Amazon.247Countries8.6 MZip codes880kBoundaries -
Doorda
CoverageUKUnlock the full potential of UK data with Doorda! Our platform integrates thousands of datasets from over 1,500 sources, offering unmatched insights into UK properties, businesses, and demographics. Get real-time updates and turn data into strategic intelligence.1.88MPostcodes34.5MUK Addresses3.2MCommercial Addresses -
SafeGraph
CoverageUSAUK+248VWe are using safegraph data to research on the foot traffic of airports in the U.S. We find it very helpful with lots of documentation. The customer support is awesome. You can post in the slack channel and got a response very quickly
Popular Use Cases for Geodemographic Data
Geodemographic Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Geodemographic Data.
Main Attributes of Geodemographic Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 5 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 4 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 4 datasets | |
| String | An AAID is a unique 32-digit string of characters that is automatically assigned to each Android device. A specific Android Advertising ID example of “38400000-8cf0-11bd-b23e-10b96e40000d” is used in Google’s Android developer documentation, with real IDs following a similar format. | View 3 datasets | |
| String | The name of a city. | View 3 datasets | |
| String | The name of a country. | View 3 datasets |
Frequently Asked Questions
How is the Quality of Geodemographic Data Maintained?
The quality of Geodemographic Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Geodemographic Data Updated?
The update frequency for Geodemographic Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Geodemographic Data Secure?
The security of Geodemographic Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Geodemographic Data Delivered?
Geodemographic Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Geodemographic Data.
How Much Does Geodemographic Data Cost?
The cost of Geodemographic Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Geodemographic Data for your needs.
What Are Similar Data Types to Geodemographic Data?
Geodemographic Data is similar to other data types, such as Demographic Data, Census Data, Spending Data, and Wealth Data. These related categories are often used together for applications like Location Intelligence and Demographic Segmentation.
