A complete guide to property investment in Swiss Cottage.
Last updated: 18 September 2025
Swiss Cottage is a magnet for highly educated professionals, with the local population sitting in the very top percentiles for both degree-holders and those in professional or managerial roles. The area is also packed with young adults and single occupiers, which helps drive robust rental demand. The private rented sector dominates here, and the market is highly liquid, with homes spending a median of 65 days before sale. The price-to-income ratio of 10.4 and the rent-to-income ratio of 43.1% may seem steep, but this is par for the course in this part of London.
Asking prices reflect the area’s status, with a median price per square foot of £1,044 per sq ft, and three-bedroom houses and two-bedroom flats at £2,350,000 and £850,000, respectively. Investors should note that the annualised capital growth over three years is a moderate 0.6%, with a one-year growth of 0.7%.
Median price per sq ft
£1,044 / sq ft
Average rental yield
4.4%
Capital growth (1y)
0.7%
Sales in past year
533
* Property stats calculated for last full calendar year (2024).
Live prices in Swiss Cottage, North West London
* Extreme prices clipped for legibility
Median price
£999,950
25% of properties below...
£650,000
75% of properties below...
£1,700,000
Most expensive property
£49,950,000
Live listings
646
Median days on market
65
Swiss Cottage’s fundamentals suggest stability rather than explosive growth. The market is supported by a highly skilled, affluent and youthful population, and the area’s long-term appeal is unlikely to fade quickly. Annual sales stand at 533, and the rental sector remains dominant, which should keep yields around 4.4% resilient even if capital growth is steady rather than spectacular.
Given the annualised capital growth over three years of 0.6% and the recent one-year change of 0.7%, investors should expect slow but steady performance rather than dramatic gains. The area’s high asking prices may limit entry for some, but for those seeking a liquid, tenant-rich market in London, Swiss Cottage remains a solid bet. The next 12 months are likely to look much like the last: stable, with modest growth and strong rental demand.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Swiss Cottage, North West London
£815,000
3 bedroom apartment for sale
College Crescent, Swiss Cottage, NW...
£525,000
2 bedroom apartment for sale
Canfield Place, South Hampstead, Lo...
£49,950,000
10 bedroom house for sale
Avenue Road, St John's Wood, London...
£3,750,000 - Guide Price
6 bedroom terraced house for sale
Howitt Road, London, NW3
£325,000
2 bedroom terraced house for sale
Church Row, Shipton Oliffe, Chelten...
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £15,000
• 1 in 4 properties sell at > £35,000 below asking
• 1 in 10 properties sell at > £119,000 below asking
In percentage terms:
• Median discount of 2.3%
• 25% of properties discounted by > 4.2%
• 10% of properties discounted by > 6.0%
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.