EV Risk Intelligence
in England 2026

Risk scores tell operators where deployment is complex. EVs per rapid charger tells them where the market is being missed. Windsor and Maidenhead, Stockport, and Wiltshire are not high-risk areas. They are areas where EV adoption has far outpaced charging provision. For operators seeking commercially viable sites with low risk and genuine demand, these local authorities represent the most significant untapped opportunity in England.

The Local Electric Vehicle Infrastructure fund is designed for areas where commercial deployment is unlikely. Somerset is the right kind of target — rural, low EV density, low commercial viability. But the data reveals a different category of underserved area: suburban local authorities with high EV adoption, moderate risk, and inadequate rapid charging. Windsor and Maidenhead, Cheshire West, and Peterborough are not rural. They are prosperous, high-adoption areas where rapid charging has simply not followed demand. LEVI allocation criteria should be broadened to capture this pattern.

Westminster scores 100 and has over 4,000 chargers within 5km. High risk and high infrastructure coexist in urban England because operators accept elevated risk in exchange for high utilisation. The data supports this: London boroughs have the highest risk scores and the most chargers. The risk model identifies where mitigation is required, not where deployment is impossible. Operators deploying into high-risk urban environments should use postcode-level data to inform physical security, insurance, and maintenance contracts.

West Devon has 1,704 registered EVs and a nearest rapid charger distance of 13.3km. The EVs per rapid charger metric does not fully capture this — the absolute journey distance is the more relevant figure for residents who cannot reach a charger without significant detour. Local authorities in rural Devon, Lincolnshire, and Northumberland require investment justified not by demand density but by geographic equity. LEVI funding at current levels cannot close this gap without a dedicated rural rapid charging programme.

Somerset secured £3.78 million of LEVI funding and is still appointing contractors. The gap between allocation and deployment reflects a consistent challenge across English local authorities: procurement processes for EV charging are complex, site selection criteria are poorly defined, and officers frequently lack the technical grounding to make confident investment decisions. Postcode-level risk and demand data gives procurement teams a defensible, auditable basis for site selection and business case development.

EV registrations in areas like Windsor and Maidenhead, South Gloucestershire, and Milton Keynes grew by 25 percentage points between 2020 and 2025. Areas with fast-rising adoption today will have significantly higher demand in 3 to 5 years. Infrastructure planning that responds only to current EV density will always lag the market. Forward-looking deployment should weight adoption growth rate alongside current demand.

Risk scores, EV density, IMD decile, flood risk, collision counts, and rapid charger proximity are all available at postcode level through the EVInsight API. Operators can use this data to screen sites, model utilisation, inform insurance, and justify grant applications. Local authorities can use it to prioritise ward-level investment and satisfy procurement requirements for evidence-based site selection.

Every factor in this analysis derives from Environment Agency, ONS, DfT, Police.uk, HM Land Registry, and DVLA vehicle registration data. All sources are licensed under the Open Government Licence v3. EVInsight is an ICO Registered Data Controller (ZC106985).