A complete guide to property investment in Kentish Town.
Last updated: 25 March 2026
Kentish Town sits at the intersection of youthful energy and established city living, making it a magnet for professionals, students and young families. The area is marked by a high proportion of degree-educated residents and a strong presence of professionals and managers, both in the upper percentiles nationally. With a private rental market that is dominant by London standards, investors will note that owner-occupation is in the lowest percentile, while private and social renting are both high. Median prices are elevated, with a median price per square foot of £936 per sq ft, and the price-to-income ratio sits at 9.5, which is typical for London but high by national standards. Rental yields are robust at 4.9%, and the area has seen capital growth of 4.7% over the past year and 7.8% over three years.
Median price per sq ft
£936 / sq ft
Average rental yield
4.9%
Capital growth (1y)
4.7%
Sales in past year
286
* Property stats calculated for last full calendar year (2024).
Live prices in Kentish Town, North West London
* Extreme prices clipped for legibility
Median price
£700,000
25% of properties below...
£518,750
75% of properties below...
£1,288,750
Most expensive property
£7,500,000
Live listings
284
Median days on market
55
The next twelve months in Kentish Town are likely to be shaped by the area’s continued popularity with renters and young professionals. Given the recent capital growth of 4.7% over the past year and the annualised growth of 2.5% over three years, investors should expect steady rather than spectacular returns.
Rental demand looks set to remain strong, particularly with the area’s high student and young professional population, but affordability will be a key constraint for both buyers and tenants. Liquidity remains reasonable, as shown by the annual sales of 286 and a days-on-market figure of 55 days. Investors should expect stability in the market, with opportunities for income-focused strategies, but should be mindful of possible regulatory shifts or affordability limits.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Kentish Town, North West London

£1,050,000
3 bedroom house for sale
Collard Place, Camden Town, NW1

£1,270,000
4 bedroom end of terrace house for sale
Brecon Mews, London, N7

£400,000 - Guide Price
2 bedroom apartment for sale
Prince of Wales Road, Kentish Town,...

£4,450,000
4 bedroom penthouse for sale
Holmes Road, Kentish Town, NW5

£400,000
3 bedroom flat for sale
Maitland Park Road, Kentish Town

£200,000 - Guide Price
1 bedroom flat for sale
11D Crogsland Road, Chalk Farm, Lon...
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £10,000
• 1 in 4 properties sell at > £30,000 below asking
• 1 in 10 properties sell at > £50,000 below asking
In percentage terms:
• Median discount of 1.5%
• 25% of properties discounted by > 4.1%
• 10% of properties discounted by > 6.3%
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.