House prices in Rhiw Saeson

0 properties

Modelled from 0 properties Stede tracks in Rhiw Saeson

Market snapshot

0

Sales in the last 12 months

+1%

Change over the past year

Value over time

  • Modelled value
  • Projected
£50k£100k£150k£200k£250k£300k20002002200420062008201020122014201620182020202220242026

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£67,724
2001£74,407
2002£93,545
2003£115,993
2004£142,286
2005£151,382
2006£161,144
2007£179,225
2008£150,714
2009£159,258
2010£163,073
2011£158,580
2012£155,990
2013£158,808
2014£160,517
2015£163,167
2016£172,311
2017£179,776
2018£189,014
2019£189,328
2020£207,184
2021£226,608
2022£251,672
2023£238,321
2024£240,478
2025£240,953
2026£245,500

There aren't enough recorded sales on Rhiw Saeson alone to model a trend for it, so this line shows Llanbrynmair instead.

Recent sales

Addresses in Rhiw Saeson

About this area

Rhiw Saeson, in Llanbrynmair, is a village. Stede can model 0 properties there, from HM Land Registry Price Paid Data and the UK House Price Index.

Modelled values in Rhiw Saeson are +1% over the past year and +7% over five years.

Common questions

Are house prices in Rhiw Saeson going up or down?

Modelled values in Rhiw Saeson are +1% over the past year and +7% over five years, based on the UK House Price Index.

How many properties are in Rhiw Saeson?

Stede can model 0 properties in Rhiw Saeson, with 0 recorded sales in the past 12 months.

How does Stede calculate house prices for Rhiw Saeson?

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 →