A complete guide to property investment in Friern Barnet.
Last updated: 18 September 2025
Friern Barnet sits quietly in North London, offering a property market that leans heavily towards renters and families rather than owner-occupiers. The area is defined by a strong private rental sector (in the 89th percentile for Britain), and a high proportion of families (also in the 89th percentile), which shapes both demand and tenant stability. Asking prices reflect London norms, with a median price per square foot of £569 per sq ft, and a median sale price for a three-bedroom house of £650,000. Rental yields stand out for the capital, with a current average of 5.4% and the top postcode district matching that figure.
Liquidity is reasonable, with annual sales at 197 and homes spending a typical 74 days on the market. The gap between achieved and asking prices is £10,000 (the typical achieved discount), which suggests buyers can still negotiate, but sellers are not desperate.
Median price per sq ft
£569 / sq ft
Average rental yield
5.4%
Capital growth (1y)
0.4%
Sales in past year
197
* Property stats calculated for last full calendar year (2024).
Live prices in Friern Barnet, North London
* Extreme prices clipped for legibility
Median price
£475,000
25% of properties below...
£369,000
75% of properties below...
£690,000
Most expensive property
£1,600,000
Live listings
186
Median days on market
74
Looking ahead, Friern Barnet is likely to remain a solid choice for buy-to-let investors who value steady rental income over rapid capital gains. The dominance of private rentals and families means tenant churn is likely to stay low, even if prices don’t race ahead.
While the area’s capital growth has only changed by 0.4% in the past year and the three-year trend is flat, yields are holding up and demand from renters is supported by the local demographics. The market’s liquidity is reasonable, although not especially brisk, so investors should be prepared to hold for the medium term. In short, Friern Barnet offers all the classic stability of North London, but with yields that are a notch above the capital’s average.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Friern Barnet, North London
£950,000
5 bedroom semi-detached house for sale
Macdonald Road, Friern Barnet
£850,000
4 bedroom semi-detached house for sale
Thurlestone Avenue, London
£100,000 - Offers in Excess of
1 bedroom retirement property for sale
Friern Park, London
£12,500,000 - Guide Price
Block of apartments for sale
Friern Barnet Road, London, N11
£155,000 - Offers in Excess of
Studio flat for sale
Laburnum Close, London
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £10,000
• 1 in 4 properties sell at > £25,000 below asking
• 1 in 10 properties sell at > £40,000 below asking
In percentage terms:
• Median discount of 2.2%
• 25% of properties discounted by > 3.8%
• 10% of properties discounted by > 4.7%
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.