What is the most expensive (and cheapest) area of Greater London? London Borough of Richmond upon Thames

London Borough of Richmond upon Thames is the most expensive of the 14 areas in Greater London, with an average sold price of £890,630. London Borough of Bexley is the cheapest at £431,691, 52% less.

London Borough of Richmond upon Thames average
£890,630
Cheapest: London Borough of Bexley
£431,691
Areas compared
14

Sold prices from HM Land Registry, not asking prices. How we calculate this

All house prices in Greater London
Cheaper Pricier

How do all 14 areas of Greater London compare?

Average sold price in each area of Greater London, most expensive first, with the change over one year.

  1. 1

    £890,630

    Change over one year: −2.8%

  2. 2

    £702,008

    Change over one year: −0.3%

  3. 3

    £619,852

    Change over one year: −1.4%

  4. 4

    £571,064

    Change over one year: −2.0%

  5. 5

    £567,555

    Change over one year: −4.9%

  6. 6

    £566,591

    Change over one year: +3.1%

  7. 7

    £550,208

    Change over one year: +1.9%

  8. 8

    £530,191

    Change over one year: −2.0%

  9. 9

    £519,380

    Change over one year: +0.3%

  10. 10

    £506,193

    Change over one year: −3.2%

  11. 11

    £479,712

    Change over one year: −2.6%

  12. 12

    £465,740

    Change over one year: −0.3%

  13. 13

    £438,187

    Change over one year: −1.3%

  14. 14

    £431,691

    Change over one year: +0.1%

What else do people ask about Greater London?

More quick answers on house prices, sales, areas and green space in Greater London.

Where does this data come from?

Price information is from HM Land Registry, location boundaries are from OpenStreetMap, and households and population are from Nomis Census 2021 postcode estimates (21 March 2021).

Last updated 29 September 2026 at 09:38 with the latest Land Registry data (August 2026). The Greater London dataset covers 327,954 postcodes.

Read our full data methodology

Contains HM Land Registry data © Crown copyright and database right 2026. This data is licensed under the Open Government Licence v3.0.

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