House prices per square metre in Cheltenham
Across the 5 postcode districts of the Cheltenham post town, district medians run from £3,730 to £5,020 per square metre, based on 1,495 sales matched to an EPC floor area in the last 12 months of HM Land Registry data.
Cheltenham districts, ranked
Each district's median price per square metre, most expensive first, with its matched-sale count (the median's own denominator) and its own ten-year change. Bars share one scale: this town's most expensive district.
- GL53 Charlton Kings£5,020/m²· 194 matched sales · +3.7% a year over 10 years
- GL54 Winchcombe£4,550/m²· 104 matched sales · +4.5% a year over 10 years
- GL52 Bishops Cleeve£4,060/m²· 402 matched sales · +3.9% a year over 10 years
- GL50 Prestbury£3,930/m²· 338 matched sales · +2.4% a year over 10 years
- GL51 Up Hatherley£3,730/m²· 457 matched sales · +3.8% a year over 10 years
Frequently asked questions
What does a square metre cost in Cheltenham?
It depends where in Cheltenham: across the 5 postcode districts of the post town, district medians currently run from £3,730 to £5,020 per square metre, over 1,495 sales matched to an EPC floor area in the last 12 months. Each district page carries its own median, spread and individual sales.
Why is there no single Cheltenham median?
Because RealScout would have to invent it. A true town-wide median needs every sale pooled across the districts, which is a different computation from the district medians shown here, and an average of medians is not a median. The honest town-level facts are the range and the district table, and both are shown; nothing is synthesised.
Which areas count as Cheltenham here?
The postcode districts of the Cheltenham post town, as recorded in the sale addresses of HM Land Registry Price Paid Data. Post towns are a postal unit, so the boundary is the Royal Mail's rather than the council's: a district can serve the town and reach beyond it.
Cheltenham sits in the South West region. See where its districts rank in the league tables, compare two of them side by side, or take the free dataset.