A complete guide to property investment in Little Venice.
Last updated: 10 January 2026
Little Venice has long been known for its leafy canals and elegant period homes, attracting a diverse and affluent tenant base. The area stands out for its high proportion of private renters (in the 97th percentile), with owner-occupiers making up a notably small share (in the 6th percentile), which is typical for this part of London. Average rental yields are robust at 4.6%, and the most competitive yields can be found in the W2 area, reaching 5.2%. However, capital growth has been muted, with a 1-year capital growth of 0.5% and an annualised 3-year figure of -0.9%.
Achieved prices are often below asking by a median of £21,500 (the typical achieved discount), suggesting buyers have some room to negotiate. The market sees a healthy number of transactions, with 271 sales annually and homes typically spending 82 days on the market.
Median price per sq ft
£1,007 / sq ft
Average rental yield
4.6%
Capital growth (1y)
0.5%
Sales in past year
271
* Property stats calculated for last full calendar year (2024).
Live prices in Little Venice, West London
* Extreme prices clipped for legibility
Median price
£825,000
25% of properties below...
£600,000
75% of properties below...
£1,270,000
Most expensive property
£24,500,000
Live listings
420
Median days on market
82
Little Venice is likely to remain popular with renters, especially professionals and students, given its high share of degree-educated residents and strong presence of single occupier households. Rental yields should remain attractive, particularly in the top-performing postcode districts, and the area’s liquidity is supported by a steady annual sales volume and typical days on market of 82 days.
However, investors should not expect rapid capital appreciation in the short term, given the recent annualised growth rate of -0.9%. Affordability pressures are likely to persist, but these are balanced by the area’s enduring appeal and rental demand. Overall, Little Venice offers stability and reliable rental income, with the potential for modest long-term growth rather than quick wins.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Little Venice, West London

£650,000
2 bedroom apartment for sale
St Mary's Terrace, London, W2

£450,000
2 bedroom apartment for sale
Shirland Road, Maida Vale, W9

£650,000 - Guide Price
2 bedroom flat for sale
Florence Court, St John's Wood, Lon...

£13,250,000
9 bedroom house for sale
Maida Avenue, Little Venice, London...

£425,000 - Guide Price
2 bedroom flat for sale
Carlton Gate, Maida Vale, London, W...

£650,000 - Guide Price
2 bedroom flat for sale
Florence Court, Maida Vale, London,...
Buyers have some negotiation leverage, but not much.
• Median discount: £21,500
• 1 in 4 properties sell at > £38,500 below asking
• 1 in 10 properties sell at > £82,900 below asking
In percentage terms:
• Median discount of 2.8%
• 25% of properties discounted by > 4.6%
• 10% of properties discounted by > 8.7%
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.