House prices in Waen Wen
Median value — November 2026
£326,000
Modelled from 11 properties Stede tracks in Waen Wen
Market snapshot
£326,000
Median value
£328,545
Average value
2
Sales in the last 12 months
+2%
Change over the past year
Value over time
- Modelled value
- Projected
Modelled month by month from the UK House Price Index, averaged across every property type Stede tracks here.
View as a table
| Year | Modelled value |
|---|---|
| 2000 | £81,779 |
| 2001 | £85,049 |
| 2002 | £110,669 |
| 2003 | £144,477 |
| 2004 | £198,476 |
| 2005 | £209,838 |
| 2006 | £224,094 |
| 2007 | £234,080 |
| 2008 | £215,799 |
| 2009 | £212,977 |
| 2010 | £211,087 |
| 2011 | £215,304 |
| 2012 | £208,947 |
| 2013 | £202,312 |
| 2014 | £214,649 |
| 2015 | £214,364 |
| 2016 | £228,012 |
| 2017 | £235,012 |
| 2018 | £239,096 |
| 2019 | £254,000 |
| 2020 | £271,170 |
| 2021 | £291,838 |
| 2022 | £324,490 |
| 2023 | £325,699 |
| 2024 | £312,414 |
| 2025 | £316,932 |
| 2026 | £326,000 |
Property types
- Detached house73%£339,500
- Semi-detached house27%£326,000
Recent sales
- Bryn De Dwydd, Waen Wen, Bangor, Gwynedd, LL57 4UF£400,000 · 2026£408,000
- Mount Pleasant, 5, Waen Wen, Bangor, Gwynedd, LL57 4UH£205,000 · 2026£192,000
- 6 Waen Wen, Bangor, Gwynedd, LL57 4UF£375,000 · 2024£394,000
- Cilfan Y Coed, Waen Wen, Bangor, Gwynedd, LL57 4UF£390,000 · 2024£433,000
- Tegfan, 3, Waen Wen, Bangor, Gwynedd, LL57 4UF£170,000 · 2023£179,000
- Swn Y Coed, Waen Wen, Bangor, Gwynedd, LL57 4UF£465,000 · 2023£462,000
- 9 Waen Wen, Bangor, Gwynedd, LL57 4UF£270,000 · 2021£326,000
- Merddyn Gwyn, Waen Wen, Bangor, Gwynedd, LL57 4UF£255,000 · 2017£384,000
Addresses in Waen Wen
- 6 Waen Wen, Bangor, Gwynedd, LL57 4UF£375,000 · 2024£394,000
- 9 Waen Wen, Bangor, Gwynedd, LL57 4UF£270,000 · 2021£326,000
- Bro Eryri, Waen Wen, Bangor, Gwynedd, LL57 4UF£179,000 · 2013£295,000
- Bryn De Dwydd, Waen Wen, Bangor, Gwynedd, LL57 4UF£400,000 · 2026£408,000
- Bryn Gwredog Isaf, Waen Wen, Bangor, Gwynedd, LL57 4UF£150,000 · 2008£259,000
- Cilfan Y Coed, Waen Wen, Bangor, Gwynedd, LL57 4UF£390,000 · 2024£433,000
- Merddyn Gwyn, Waen Wen, Bangor, Gwynedd, LL57 4UF£255,000 · 2017£384,000
- Mount Pleasant, 5, Waen Wen, Bangor, Gwynedd, LL57 4UH£205,000 · 2026£192,000
- Swn Y Coed, Waen Wen, Bangor, Gwynedd, LL57 4UF£465,000 · 2023£462,000
- Tan Y Bryn, Waen Wen, Bangor, Gwynedd, LL57 4UF£57,000 · 1997£282,000
- Tegfan, 3, Waen Wen, Bangor, Gwynedd, LL57 4UF£170,000 · 2023£179,000
About this area
Waen Wen, in Bangor, is a village. Stede can model 11 properties there, from HM Land Registry Price Paid Data and the UK House Price Index.
As of November 2026, Waen Wen has a median estimated value of £326,000 and an average of £328,545.
Modelled values in Waen Wen are +2% over the past year and +12% over five years.
The market here is mostly detached houses, which make up 73% of the properties Stede tracks in Waen Wen.
2 sales were recorded in Waen Wen over the past 12 months.
Common questions
What is the average house price in Waen Wen?
As of November 2026, the average estimated value is £328,545 and the median is £326,000 across 11 properties Stede tracks in Waen Wen. This is not a formal market valuation.
Are house prices in Waen Wen going up or down?
Modelled values in Waen Wen are +2% over the past year and +12% over five years, based on the UK House Price Index.
What types of property are in Waen Wen?
73% of the properties Stede tracks in Waen Wen are detached houses. semi-detached houses are next most common, at 27%.
How many properties are in Waen Wen?
Stede can model 11 properties in Waen Wen, with 2 recorded sales in the past 12 months.
How does Stede calculate house prices for Waen Wen?
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 →