House prices on Windmill Way

0 properties

Modelled from 0 properties Stede tracks in Windmill Way

Market snapshot

0

Sales in the last 12 months

+1%

Change over the past year

Value over time

  • Modelled value
  • Projected
£0£50k£100k£150k£200k20002002200420062008201020122014201620182020202220242026

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£52,423
2001£56,087
2002£69,395
2003£93,892
2004£114,898
2005£125,981
2006£131,478
2007£140,729
2008£120,215
2009£121,690
2010£118,212
2011£114,395
2012£117,785
2013£114,883
2014£122,574
2015£123,280
2016£126,401
2017£131,019
2018£132,986
2019£137,077
2020£142,104
2021£148,123
2022£161,939
2023£159,296
2024£167,756
2025£176,931
2026£176,000

There aren't enough recorded sales on Windmill Way alone to model a trend for it, so this line shows Hebburn instead.

Recent sales

Addresses in Windmill Way

About this area

Windmill Way, in Hebburn, 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 Windmill Way are +1% over the past year and +18% over five years.

Common questions

Are house prices in Windmill Way going up or down?

Modelled values in Windmill Way are +1% over the past year and +18% over five years, based on the UK House Price Index.

How many properties are in Windmill Way?

Stede can model 0 properties in Windmill Way, with 0 recorded sales in the past 12 months.

How does Stede calculate house prices for Windmill Way?

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 →