Geodemographics

Create Unique Geodemographic Models!

Our Geodemographic product enables you to generate custom insights by aggregating demographic attributes across comparable geographic areas. With access to thousands of variables, including age, income, and household data, you can create unique area scores and connect them to specific postcodes.

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Crime. Households. Residents.

All data is centrally indexed, enabling deeper insights & easier joining

242,354
Comparable Areas
2.2m
Postcodes
66.7m
Residents

Real-World Applications

01

Retail Location Planning

Use geodemographic data to identify ideal locations for new stores. By analysing demographic attributes such as income levels, population density, and lifestyle patterns, you can pinpoint areas with high potential for customer traffic, ensuring stores are placed in locations where they are most likely to succeed.

02

Market Segmentation and Analysis

Geodemographic data can be used to identify specific lifestyle segments within a geographic area, allowing you to tailor marketing messages and promotions to the preferences and needs of particular groups. For instance, a luxury goods company might focus its advertising efforts on high-income neighbourhoods.

03

Resource Planning

A car-sharing service, would use geodemographic data to expand its fleet and service areas. By analysing the demographics of urban areas, including population density, income levels, and proximity to public transportation, They can identify neighbourhoods where residents were more likely to rely on car-sharing rather than owning a car. This enables them to strategically place vehicles in high-demand areas.

04

Data Ingestion

Researching, validating, and obtaining legal approval before handing off a data feed to your engineers (who will also need to maintain it) is both costly and time-consuming. With Doorda, you can access data directly, allowing you to test ideas freely, knowing you’ll always have the most up-to-date and compliant version available.

Putting our Data to Work

Customer Augmentation

Targeted Marketing

Risk
Analysis

AI
Modelling

Market
Research

Location
Planning

Insights

Our in-house analysts have developed targeted insights tailored to meet specific needs, these include Local Area Summaries as well as more detailed Health and Wealth insights.

StatsX

Focuses on a combination of popular geo-demographic and property data covering 240,000 small comparable areas which are also linked to postcodes. Data includes, but is not limited to:

  • Household composition & housing
  • Housing sales & planning
  • Income/Benefits
  • Expenditure
  • Education
  • Deprivation
  • Local services/shops/businesses
  • Housing – owned/rented
Population Vulnerability

Vulnerability scores for residents of a postcode are produced either as a percentile rank, decile rank, or a geometric rank (most vulnerable = 1%, then 1-3%, 3-5%, 5-10%, 10-20%, 20-33%, 33%+) Incorporates vulnerability score due to:

  • Poor health
  • High mortgage debt to income ratio
  • Low income
  • Low education achievement
Predictors

Predictors are modelled by age, gender and geographic area, and are standardised ratios with respect to the national average. Incorporates, but is not limited to:

  • Gender and age bands
  • Economic status
  • Household profile
  • Health & disabilities
  • Ethnicity & country of birth
  • Household motor vehicles
  • Employment details
  • Home tenure
Public Attitude

Relative interest in various topics, modelled by geographic area. Derived from UK Government petitions, it includes, but is not limited to:

  • Poor health
  • High mortgage debt to income ratio
  • Low income
  • Low education achievement
Health

Health predictions modelled by age band, gender and geographic area. This includes:

  • Biological age
  • Smoking propensity
  • Mortality
  • Life expectancy
  • Obesity propensity

 

Wealth

Wealth predictions modelled by age, gender and geographic area. Incorporates:

  • Propensity to donate to charity
  • Hourly employed income
  • Annual pensioner Income
  • Mortgage debt