A complete guide to property investment in Notting Hill.
Last updated: 18 September 2025
Notting Hill remains one of West London's most recognisable neighbourhoods, with enduring appeal for both renters and buyers. The area is marked by a very high price-to-income ratio of 15.0, which is typical for this part of the capital, and a median price per square foot of £1,307 per sq ft. Liquidity is reasonable, with 506 annual sales and properties spending an average of 70 days on the market. The private rented sector dominates, sitting in the 87th percentile nationally, while owner-occupation is rare, in the 4th percentile.
Despite these high entry costs, investors can expect average rental yields of 4.5%, with the top-performing postcode district achieving 5.2%. Rent-to-income ratios are high at 51.4%, reflecting the area’s popularity among affluent tenants and single professionals, who make up a large share of households.
Median price per sq ft
£1,307 / sq ft
Average rental yield
4.5%
Capital growth (1y)
-3.0%
Sales in past year
506
* Property stats calculated for last full calendar year (2024).
Live prices in Notting Hill, West London
* Extreme prices clipped for legibility
Median price
£900,000
25% of properties below...
£625,000
75% of properties below...
£1,750,000
Most expensive property
£42,000,000
Live listings
963
Median days on market
70
Notting Hill’s fundamentals remain strong, especially for investors focused on rental income. The dominance of the private rented sector, combined with robust yields of 4.5%, means the area is likely to continue attracting affluent tenants and overseas renters. However, capital growth has been muted, with one-year growth at -3.0% and annualised three-year growth at 0.6%, so investors should be realistic about short-term price gains.
Liquidity is healthy, with properties typically selling within 70 days and a steady flow of transactions. While affordability metrics are stretched, this is standard for prime London neighbourhoods, and the area’s long-term stability remains a draw. Overall, Notting Hill looks set to deliver steady rental returns, but those seeking rapid capital appreciation may need to adjust expectations.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Notting Hill, West London
£400,000
2 bedroom flat for sale
Monmouth Place, London, W2
£525,000
3 bedroom apartment for sale
Henry Dickens Court, St. Anns Road,...
£1,000,000
3 bedroom maisonette for sale
The Limes, Linden Gardens, London, ...
£27,500,000
10 bedroom house for sale
Holland Park, London, W11
£220,000
2 bedroom apartment for sale
Westbourne Grove, West Kirby, Wirra...
£340,000 - Guide Price
2 bedroom apartment for sale
Poynter House, 1 Queensdale Crescen...
Discounts exist, but they won't transform deal economics on their own.
• Median discount: £19,975
• 1 in 4 properties sell at > £50,000 below asking
• 1 in 10 properties sell at > £171,500 below asking
In percentage terms:
• Median discount of 2.1%
• 25% of properties discounted by > 4.3%
• 10% of properties discounted by > 7.8%
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.