House prices per square metre in Reading
Across the 10 postcode districts of the Reading post town, district medians run from £4,070 to £5,950 per square metre, based on 2,464 sales matched to an EPC floor area in the last 12 months of HM Land Registry data.
Reading districts, ranked
Each district's median price per square metre, most expensive first, with its matched-sale count, the median's own denominator. Bars share one scale: this town's most expensive district.
- RG10 Twyford£5,950/m²· 192 matched sales
- RG8 Pangbourne£5,510/m²· 84 matched sales
- RG4 Caversham£5,100/m²· 277 matched sales
- RG6 Earley£5,000/m²· 195 matched sales
- RG5 Woodley£4,870/m²· 275 matched sales
- RG31 Tilehurst£4,770/m²· 254 matched sales
- RG7 Spencers Wood£4,760/m²· 136 matched sales
- RG2 Shinfield£4,450/m²· 294 matched sales
- RG1 Reading£4,180/m²· 402 matched sales
- RG30 Tilehurst£4,070/m²· 355 matched sales
Frequently asked questions
What does a square metre cost in Reading?
It depends where in Reading: across the 10 postcode districts of the post town, district medians currently run from £4,070 to £5,950 per square metre, over 2,464 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 Reading 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 Reading here?
The postcode districts of the Reading 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.
Reading sits in the South East region. See where its districts rank in the league tables, compare two of them side by side, or take the free dataset.