House prices per square metre in Warrington
Across the 5 postcode districts of the Warrington post town, district medians run from £2,510 to £3,140 per square metre, based on 1,853 sales matched to an EPC floor area in the last 12 months of HM Land Registry data.
Warrington 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.
- WA4 Appleton£3,140/m²· 488 matched sales · +4.9% a year over 10 years
- WA3 Lowton£3,080/m²· 507 matched sales · +4.8% a year over 10 years
- WA5 Great Sankey£2,950/m²· 316 matched sales · +4.9% a year over 10 years
- WA1 Woolston£2,720/m²· 242 matched sales · +5.4% a year over 10 years
- WA2 Orford£2,510/m²· 300 matched sales · +6.1% a year over 10 years
Frequently asked questions
What does a square metre cost in Warrington?
It depends where in Warrington: across the 5 postcode districts of the post town, district medians currently run from £2,510 to £3,140 per square metre, over 1,853 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 Warrington 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 Warrington here?
The postcode districts of the Warrington 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.
Warrington sits in the North West region. See where its districts rank in the league tables, compare two of them side by side, or take the free dataset.