SE27 has an average sold price of £318,543 across 10,822 HM Land Registry transactions covering 329 postcodes. The largest town grouping is London.
Decision summary
SE27 postcode area averages £318,543 across 10,822 completed sales covering 329 postcodes. Check the median, sample depth and nearby postcodes before using the average as a market signal.
Average £318,543 · Median £240,000 · 10,822 transactions · +188.4% growth · 329 postcodes
Use the location comparison tool to put SE27 postcodes beside other postcode areas, towns or districts before narrowing your shortlist.
Property valuation guide
Professional valuers use recent sold prices as comparable evidence. In the SE27 area, the median sold price is £240,000 and the average is £318,543, based on 10,822 HM Land Registry transactions. Over five years, prices have moved +188.4%, which affects how comparables from earlier years should be weighted.
These are historical completed-sale prices — not a formal valuation, asking price or investment advice. Use them to sense-check an asking price or set expectations before instructing a surveyor.
The average sold price in SE27 is £318,543, based on 10,822 HM Land Registry transactions across 329 postcodes.
SE27 is -19.7% below the England and Wales national average of £396,803.
No. These are historical completed sale prices from HM Land Registry Price Paid Data. They are not current valuations, asking prices or investment advice.
The SE27 postcode area covers 329 individual postcodes with 10,822 registered sales. The largest town grouping is London.
All sold price figures on this page come from HM Land Registry Price Paid Data for England and Wales, published under the Open Government Licence v3.0. Contains HM Land Registry data © Crown copyright and database right. These are historical completed sale prices — they are not current valuations, not forecasts and not investment advice. Past sale prices do not guarantee future values. Always seek independent professional advice before making property or financial decisions. Read the full methodology for details on data cleaning, grouping and limitations.