House prices on Vigars Leaze

0 properties

Modelled from 0 properties Stede tracks in Vigars Leaze

Market snapshot

0

Sales in the last 12 months

+2%

Change over the past year

Value over time

  • Modelled value
  • Projected
£0£100k£200k£300k£400k20002002200420062008201020122014201620182020202220242026

Modelled month by month from the UK House Price Index, averaged across every property type Stede tracks here.

View as a table
Modelled value at the end of each year, with any recorded sales
YearModelled value
2000£90,243
2001£104,484
2002£133,664
2003£153,126
2004£176,976
2005£179,030
2006£196,247
2007£208,782
2008£181,098
2009£185,318
2010£189,722
2011£185,668
2012£185,319
2013£191,352
2014£198,898
2015£210,796
2016£222,551
2017£237,078
2018£243,750
2019£244,840
2020£260,753
2021£275,556
2022£308,755
2023£293,011
2024£295,818
2025£296,092
2026£303,500

There aren't enough recorded sales on Vigars Leaze alone to model a trend for it, so this line shows Wincanton instead.

Recent sales

Addresses in Vigars Leaze

About this area

Vigars Leaze, in Wincanton, is a street. Stede can model 0 properties there, from HM Land Registry Price Paid Data and the UK House Price Index.

Modelled values in Vigars Leaze are +2% over the past year and +10% over five years.

Common questions

Are house prices in Vigars Leaze going up or down?

Modelled values in Vigars Leaze are +2% over the past year and +10% over five years, based on the UK House Price Index.

How many properties are in Vigars Leaze?

Stede can model 0 properties in Vigars Leaze, with 0 recorded sales in the past 12 months.

How does Stede calculate house prices for Vigars Leaze?

These figures are modelled from HM Land Registry Price Paid Data and the UK House Price Index — the same sources used for every individual property valuation on Stede. Full detail is on the methodology page.

How we calculate this

These figures are modelled from HM Land Registry Price Paid Data and the UK House Price Index — the same sources behind every individual property valuation on Stede.

Read the full methodology and data sources →