OccupID

The Fuel Poverty Predictor

Mapping the intersection of poor energy efficiency (EPC E, F, G) and economic deprivation (IMD) to identify households at highest risk of fuel poverty across the UK.

Why this matters: Fuel poverty is not just about low income; it's the dangerous combination of low income and high energy costs driven by poorly insulated homes. This interactive choropleth map helps local authorities visualise this overlap. By identifying the "red zones" where high deprivation meets a high concentration of E, F, and G rated properties, councils can proactively target their support schemes, prioritise properties for the Home Upgrade Grant (HUG), and focus their Private Rented Sector (PRS) enforcement on landlords failing to meet Minimum Energy Efficiency Standards (MEES).

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289 authorities found
Fuel Poverty Risk Map
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Methodology & Data Sources

The Fuel Poverty Predictor combines two critical datasets to identify areas where residents are most vulnerable to energy price shocks:

  • Energy Performance Certificate (EPC) Data: Sourced from the Department for Levelling Up, Housing and Communities (DLUHC). We analyse the percentage of properties within each local authority that hold an EPC rating of E, F, or G (the lowest efficiency bands). Data reflects lodgements up to December 2025.
  • Index of Multiple Deprivation (IMD): Sourced from the Ministry of Housing, Communities & Local Government. The IMD is the official measure of relative deprivation in England. We use the Local Authority District summary rank, where 1 represents the most deprived area.

Risk Calculation: The local authority boundaries are colour-coded based on a combined risk score that weights both high proportions of poor EPC ratings and high levels of economic deprivation. Areas marked in red indicate a dangerous overlap where poorly insulated homes are occupied by residents who may struggle to afford heating costs.

What this data doesn't show: This is a macro-level view at the local authority district level. It does not pinpoint individual households in fuel poverty. Furthermore, it relies on existing EPC lodgements; properties that have never had an EPC (often the worst performing) are not captured in this dataset. For a micro-level, property-by-property analysis, councils use OccupID's core platform to ingest and cross-reference their internal datasets.