GeoMoney
Details
Uncover the financial landscape at postcode level with GeoMoney. This range provides valuable insights into family finances, expenditure patterns, and economic indicators, offering a holistic view of financial dynamics and includes:
gross earnings
gross income
net income and expenditure, including distribution down to £5k bands, by postcode, sex and age band.
Pensioner income
Mortgage debt
Index of Multiple Deprivation (IMD) and its 7 components modelled across the UK and down to Output Area level.
GeoHealth
Details
Our health and lifestyle datasets offer detailed analysis at postcode level, enabling a comprehensive understanding of health dynamics across postcodes.
Much of our data can be further refined by sex and age bands, bringing this open source data right down to very small numbers. Data includes:
Life expectancy and mortality expectations showing variations from standard rates.
Biological age - how people in a particular area might vary from their actual age.
Disease prevalence -data on 13 key diseases and impairments effecting health and wellbeing.
GP Performance - an assessment of health outcomes by GP practice to help identify areas of concern.
Smoking and obesity prevalence, identifying those postcodes with relatively high or low incidence.
Clients use the GeoHealth in a wide range of tasks, from assessing insurance applicants and designing the most appropriate customer journeys to supporting strategic planning. Charity clients use the data to help focus their resourcing in the areas it will have most impact.
GeoSociety
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Explore the social attitudes of communities with Postcode level information covering key social issues, attitudes, and behaviours, offering a comprehensive perspective on what matters to people living in a Postcode
GeoPredictors
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Enhance predictive modelling with our core set of GeoPredictors. Over 400 variables provide a robust foundation for model building, forecasting and scenario analysis, helping to create high performing analytical solutions. They are ideal for use in data-hungry machine learning and AI environments.