TS27 has an average sold price of £113,781 across 7,484 HM Land Registry transactions covering 323 postcodes. The largest town grouping is Hartlepool.
Decision summary
TS27 postcode area averages £113,781 across 7,484 completed sales covering 323 postcodes. Check the median, sample depth and nearby postcodes before using the average as a market signal.
Average £113,781 · Median £107,475 · 7,484 transactions · +35.0% growth · 323 postcodes
Use the location comparison tool to put TS27 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 TS27 area, the median sold price is £107,475 and the average is £113,781, based on 7,484 HM Land Registry transactions. Over five years, prices have moved +35.0%, 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 TS27 is £113,781, based on 7,484 HM Land Registry transactions across 323 postcodes.
TS27 is -71.3% 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 TS27 postcode area covers 323 individual postcodes with 7,484 registered sales. The largest town grouping is Hartlepool.
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.