A complete guide to property investment in Kingsbury Green.
Last updated: 18 September 2025
Kingsbury Green sits in North West London with a blend of long-term stability and active rental demand. The area’s population skews young, with families and students making up a large share, which is reflected in the private rented housing sitting in the 91st percentile nationally. The average rental yield stands at 6.1%, a strong figure for London, and the median price per square foot is £580 per sq ft. However, capital growth over the past year has changed by -9.1%, and over three years by -0.2%, suggesting limited short-term appreciation. Still, sales liquidity is reasonable, with homes spending an average of 68 days on the market and annual sales at 419.
Median price per sq ft
£580 / sq ft
Average rental yield
6.1%
Capital growth (1y)
-9.1%
Sales in past year
419
* Property stats calculated for last full calendar year (2024).
Live prices in Kingsbury Green, North West London
* Extreme prices clipped for legibility
Median price
£433,000
25% of properties below...
£356,250
75% of properties below...
£591,000
Most expensive property
£1,875,000
Live listings
707
Median days on market
68
Kingsbury Green’s rental market looks set to remain active, supported by a high proportion of younger residents and families. The strong presence of private renting, in the 91st percentile, should underpin ongoing demand for buy-to-let investors. However, capital values have been broadly flat over the past three years, with annualised growth at -0.1%, so investors should not expect rapid price appreciation in the near term.
Affordability is stretched by London standards, with a price-to-income ratio of 6.9 and a rent-to-income ratio of 35.3%. Liquidity remains reasonable, with homes spending an average of 68 days on the market. Overall, Kingsbury Green offers solid rental returns and long-term stability, but capital growth prospects appear muted for the next 12 months.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Kingsbury Green, North West London
£950,000
5 bedroom apartment for sale
Boulevard Drive, Beaufort Park, NW9
£580,000 - Offers in Excess of
4 bedroom end of terrace house for sale
Wakemans Hill Avenue, London
£760,000
4 bedroom detached house for sale
Queens Walk, KINGSBURY, NW9
£1,200,000
4 bedroom semi-detached house for sale
Salmon Street, Kingsbury, London, N...
£1,399,950
3 bedroom bungalow for sale
Salmon Street, Kingsbury, London, N...
£350,000
1 bedroom apartment for sale
Caversham Road, London, NW9
£190,000 - Guide Price
1 bedroom flat for sale
Flat 58 Geneva Court, 2 Rookery Way...
Discounts exist, but they won't transform deal economics on their own.
• Median discount: £10,000
• 1 in 4 properties sell at > £23,225 below asking
• 1 in 10 properties sell at > £35,000 below asking
In percentage terms:
• Median discount of 2.1%
• 25% of properties discounted by > 4.5%
• 10% of properties discounted by > 6.0%
Top postcodes for rental yield and (annualised) capital growth
GeoGlider calculates property investment stats by blending official and proprietary datasets. Here's a quick overview of key sources and how we use them:
HM Land Registry: Property transaction and sold-price records for England & Wales used to calculate historical capital growth, price levels and comparables.
Office for National Statistics (ONS): Demographic and economic indicators for the UK, including Census 2021, supporting area profiling and market context.
Ordnance Survey: Authoritative UK geospatial data powering accurate boundaries, roads and terrain for mapping and spatial analysis.
GeoProp: Our proprietary AI pipeline that processes millions of property listings to extract rich features and live market signals.
Department for Levelling Up, Housing & Communities: Energy Performance Certificate (EPC) scores and property floor areas.
HM Revenue & Customs (HMRC): Household income and employment data to understand local affordability and economic conditions.
Data is updated continuously, matched across sources and rigorously validated.