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Get started32 Tennyson Avenue, Brent, London, NW9 9JA
1 planning record
About 32 Tennyson Avenue
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
32 Tennyson Avenue is a three-bedroom semi-detached house in Brent, London, London (NW9 9JA). It has a recorded floor area of 97 m² (around 1044 sq ft), construction records dating it to 1930-1949 and council tax band E. The latest certificate (August 2019) shows a D (score 63), on the cusp of jumping into the C band. The recommended improvements would lift it to B (score 85), a 2-band jump. Other recorded features include a conservatory.
One planning record on file: an extension approved in 2021. Past consents include an extension, meaningful when judging how the property has evolved. Today's modelled estimate of £600,000 is 12.1% above the 2021 sale price. On a £-per-square-foot basis, the last sale (£512/sq ft) was about 133% above the typical sold price in the postcode. Last sale on file: £535,000 in April 2021. That sale was during the post-pandemic price surge, when transactions cleared materially above pre-2020 trend.
What this property has
Pulled from EPC certificates, claim submissions and our property model. Empty categories are hidden — we only show what's known.
Inside
- Bedrooms3
- Bathrooms1
- Dining roomYes
- ConservatoryYes
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
Recommended upgrades on file would lift this property by multiple EPC bands.
EPC Rating
A
B
C
D
D63
E
F
G
Main Heating
Gas
Main Fuel
Gas
Hot Water
Good
Windows
Average
CO2 Emissions
4.2 t/year
Occupancy
Owner Occupied
Planning history
Applications and permits filed against 32 Tennyson Avenue, Brent, London, NW9 9JA, sourced from the PlanIt planning register.
32 Tennyson Avenue has an approved single-storey rear extension on the planning record.
- Jun 2021ExtensionOutlinePrior approval is not required
Extension: Single storey · Rear of property
Prior approval for a single storey rear extension to dwellinghouse, in metres: Extending beyond the rear wall of the original house - 6m Maximum height - 3m Eaves height - 3m
Sales history & valuation
Recorded transactions, our model's current estimate, and a quick read on what neighbouring properties have sold for.
The latest sale landed in the post-pandemic price surge — useful context when reading the figure.
Current estimate
See how we calculated this£600,000
Modelled from EPC, postcode comparables.
Last sold (2021)
£535,000
Recorded with HM Land Registry.
Sales timeline
Versus other Tennyson Avenue homes
Four headline reads against 14 similar houses on this street, drawn from the latest EPC and Land Registry data.
32 Tennyson Avenue outperforms the street on price per m² by a wide margin.
Price per m²
£5,515
Street avg £2,910
Floor Area
97 m²
Street avg 102 m²
Habitable Rooms
6 rooms
Similar properties nearby
A handful of close matches in the same postcode area, ranked by likeness on bedrooms, type and floor area.
The neighbourhood at a glance
A condensed read of the local area. Each tile links through to the full breakdown on the London district page.
Reported crime in the wider district is trending notably upward year-on-year.
Crime
15/mo
Rising year-on-year across the wider district.
Nearest stop
0.1 km
Kingsbury Health and Wellbeing — bus stop.
Road noise across the postcode
Modelled day and night-time noise levels around NW9 9JA from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
51.3dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 80 points of interest in total.
Beautiful places to visit nearby
Curated scenic spots within reach of this postcode, served by Beautifulplaces.ai. Photography and tagging come from their open dataset.
Common questions
The questions buyers, sellers and homeowners most often ask about 32 Tennyson Avenue, Brent, London, NW9 9JA. Each answer is also embedded as structured data for search engines.