A complete guide to property investment in Brixton.
Last updated: 18 September 2025
Brixton stands out for its high concentration of young adults, with the population aged 20-30 and 30-40 both in the top percentiles for Britain. The area is heavily skewed towards private and social renting, sitting in the 84th and 97th percentiles respectively, while owner-occupation is rare. Sales liquidity is decent, with annual sales at 891 and properties typically spending 56 days on the market. The median price per square foot is £697 per sq ft, and the area’s price-to-income ratio of 7.2 is typical for London’s inner neighbourhoods. Rental yields average 5.3%, with the top-performing postcode district yielding 5.2%.
Median price per sq ft
£697 / sq ft
Average rental yield
5.3%
Capital growth (1y)
-2.0%
Sales in past year
891
* Property stats calculated for last full calendar year (2024).
Live prices in Brixton, South West London
* Extreme prices clipped for legibility
Median price
£500,000
25% of properties below...
£389,950
75% of properties below...
£675,000
Most expensive property
£5,250,000
Live listings
707
Median days on market
56
Expect stability in Brixton’s rental market, with continued demand from young renters and professionals. The high proportion of degree-educated residents and those working in professional roles (91st and 77th percentiles) should support ongoing rental demand, even if capital growth remains subdued.
Given the flat three-year growth at 0%, investors should not expect rapid capital appreciation. Instead, the area’s appeal lies in its resilience and strong underlying tenant demand. Affordability constraints may cap both sale and rental price growth, but the area’s liquidity and vibrant rental sector provide reassurance for those seeking steady income. In summary, Brixton offers a stable, income-focused investment environment rather than fast-paced growth.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Brixton, South West London
£240,000 - Guide Price
3 bedroom semi-detached house for sale
Ferndale Road, Ferndale, Swindon, S...
£700,000 - Offers in Excess of
3 bedroom maisonette for sale
Dundas Road, London
£1,150,000
4 bedroom end of terrace house for sale
Sidney Road, Stockwell, London, SW9
£375,000 - Guide Price
2 bedroom flat for sale
Hayter Road, Brixton
£650,000 - Offers in Excess of
5 bedroom terraced house for sale
Cade House, Tulse Hill
£925,000
3 bedroom house for sale
Sulina Road, SW2
£1,100,000
1 bedroom maisonette for sale
Loughborough Road, London SW9
£273,000 - Guide Price
4 bedroom maisonette for sale
Flat 23 Sandon House, Tilson Garden...
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £5,000
• 1 in 4 properties sell at > £18,000 below asking
• 1 in 10 properties sell at > £32,400 below asking
In percentage terms:
• Median discount of 1.3%
• 25% of properties discounted by > 3.2%
• 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.