Our Data Sources
35, Myrtle Avenue, Bingley has 41 entries in the Land Registry, most recently in March 2024 and a single entry in the EPC database dated June 2015.
We combine this information with that of neighbouring properties to estimate the property attributes and values.
The local information is scored as 5 out of 5 and is considered of high accuracy.
1Sales dated prior to 2007 are shown, but are not used in our calculations.
Price Range & Condition
The condition of a property plays an important role in determining its value, with the degree of impact varying by property type, size and location.
For 35, Myrtle Avenue, Bingley, we estimate a market value of £234,940 and a rental value of £1,214 per month when presented in very good decorative order. Should the property require extensive cosmetic improvement, those figures would reduce to £208,090 and £1,075 per month respectively.
Plot Size
HM Land Registry records the plot of land for 35, Myrtle Avenue, Bingley as measuring 79 m2.
That makes it the 25th largest plot in the postcode, where all 52 other houses have recorded plot data.
Energy Efficiency
35, Myrtle Avenue, Bingley has an Energy Performance Rating (EPC) of D. This is based on the most recent assessment, dated 22 Jun 2015.
The property is connected to mains gas and has fully double glazed windows. It is heated using a boiler and radiators (mains gas).
Sold Prices
The most recent sale of 35, Myrtle Avenue, Bingley completed on 25th March 2024 at £195,000 and was recorded by HM Land Registry as a freehold house.
Since 1995 the property has sold 4 times.
Values of comparable properties have risen by 28.2% over the period since March 2024.
- Sold Mar 2024£195,000
- Sold Oct 2015£169,950
- Sold Aug 2006£160,000
Similar Properties Sold Nearby
Since 2019 114 properties similar to 35, Myrtle Avenue, Bingley have sold within a radius of 740 metres, per the Land Registry and our network of Estate Agents.
The latest, on the 7th April 2026, was 50, Myrtle Avenue, Bingley, BD16 1EW, a freehold house which sold for £235,000.
Read more about house prices in BD16.
- Sold Apr 2026£235,000 | 4 Bed House50, Myrtle Avenue, Bingley, BD16 1EW50, Myrtle Avenue, Bingley, BD16 1EW
- Sold Feb 2026£235,000 | 3 Bed House6, Sycamore Avenue, Bingley, BD16 1HD6, Sycamore Avenue, Bingley, BD16 1HD
- Sold Jan 2026£205,500 | 3 Bed House8, Myrtle Avenue, Bingley, BD16 1EW8, Myrtle Avenue, Bingley, BD16 1EW
- Sold Jan 2026£225,000 | 3 Bed House49, Unity Street South, Bingley, BD16 1EP49, Unity Street South, Bingley, BD16 1EP
- Sold Nov 2025£163,000 | 3 Bed House14, Mitchell Terrace, Bingley, BD16 1ER14, Mitchell Terrace, Bingley, BD16 1ER
Nearby is defined as the radius comprising the nearest 2,000 addresses.
More reading links
Explore Nearby Properties
The surrounding properties have an average estimated value of £216,902, ranging from £171,567 to £253,429.
- 33 Myrtle Avenue
3 Bed House | 5 m | Est. Value: £215,252
- 39 Myrtle Avenue
4 Bed House | 9 m | Est. Value: £240,601
- 41 Myrtle Avenue
4 Bed House | 12 m | Est. Value: £238,814
- 29 Myrtle Avenue
4 Bed House | 14 m | Est. Value: £253,429
- 43 Myrtle Avenue
3 Bed House | 17 m | Est. Value: £178,277
Location Comparison
Of the 52 addresses on Myrtle Avenue, Bingley, BD16, 35, Myrtle Avenue, Bingley comes out as the 31st largest and the 31st most expensive in our analysis of the public data.
It is also £50k less expensive than the average property across the BD16 district.
More reading links
Schools Nearby
- Myrtle Park Primary100 m away
- Trinity All Saints CofE VA Primary School400 m away
- Beckfoot Priestthorpe Primary School & Nursery800 m away
- Beckfoot School500 m away
- Bingley Grammar School1.5 km away
- Dixons Cottingley Academy1.9 km away
More reading links
Public Transport Nearby
- Bingley|600 m away
- Crossflatts|1.8 km away
- Saltaire|2.9 km away
Available Internet Speeds
Broadband here reaches ultrafast speeds, based on recent Ofcom data.
According to recent data from Ofcom, Ultrafast Broadband available in this area.
Risk of Flooding
The flood risk here is rated Very Low, based on Environment Agency data.
