A complete guide to property investment in Canary Wharf.
Last updated: 18 September 2025
Canary Wharf has become one of London's most recognisable business districts, attracting a young, highly educated population. The area is dominated by private rented housing, with the proportion of private renters in the 99th percentile for Britain, and a very low share of owner-occupiers. The local market is fast-moving, with homes typically spending just 57 days on the market. Rental yields are robust, with an average of 6.2% and the top-performing postcode district yielding 6.0%.
Despite a recent uptick in capital growth over the past year (8.2%), the three-year trend shows a change by -11.5%, suggesting some volatility. Asking prices reflect the area's prestige, with a median price per square foot of £785 per sq ft, and a two-bedroom flat asking £600,000.
Median price per sq ft
£785 / sq ft
Average rental yield
6.2%
Capital growth (1y)
8.2%
Sales in past year
835
* Property stats calculated for last full calendar year (2024).
Live prices in Canary Wharf, East London
* Extreme prices clipped for legibility
Median price
£550,000
25% of properties below...
£425,000
75% of properties below...
£758,750
Most expensive property
£3,950,000
Live listings
799
Median days on market
57
Looking ahead, Canary Wharf's fundamentals remain compelling for investors who prioritise rental income and liquidity. The dominance of private renters, combined with a high proportion of degree-educated, professional residents, helps underpin demand for high-quality flats and houses.
While the recent one-year capital growth of 8.2% is encouraging, the longer-term trend suggests the area is not immune to market cycles. Asking rents for a two-bedroom flat (£3,531) and three-bedroom house (£2,675) reflect ongoing demand but also highlight the affordability challenge.
Overall, I see Canary Wharf as a lively, tenant-driven market with plenty of rental activity and a long-term appeal rooted in its professional population, but investors should keep an eye on volatility and affordability constraints.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Canary Wharf, East London
£200,000 - Guide Price
1 bedroom flat for sale
Topmast Point, The Quarterdeck, E14
£450,000
2 bedroom flat for sale
Biscayne Avenue, London
£1,000,000 - Guide Price
3 bedroom apartment for sale
Manchester Road, Isle Of Dogs, Lond...
£750,000 - Offers in Excess of
5 bedroom terraced house for sale
Woodstock Terrace, London, E14
£300,000
2 bedroom house boat for sale
Millharbour, Canary Wharf, E14
£245,000 - Guide Price
1 bedroom flat for sale
Millharbour, LONDON
Typical discounts are limited but real — expect to achieve a reduction off asking.
• Median discount: £5,000
• 1 in 4 properties sell at > £19,688 below asking
• 1 in 10 properties sell at > £40,000 below asking
In percentage terms:
• Median discount of 1.1%
• 25% of properties discounted by > 3.5%
• 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.