A complete guide to property investment in Woodside Park.
Last updated: 10 January 2026
Woodside Park sits within North London’s leafy sprawl, offering a stable and established property market. The area is popular with families and professionals, reflected in the high proportion of degree-educated residents and a large share of professionals and managers, both in the 93rd percentile. The private rental sector is dominant here, in the 94th percentile, which is typical for London and underpins consistent rental demand. While capital growth has changed by -0.4% over the past year and by -0.2% over three years, yields remain robust for the area, with an average rental yield of 5.1%.
Affordability is a relative concept in London; the price-to-income ratio of 6.3 and rent-to-income ratio of 30.5% are par for the course in this part of the city. Liquidity looks healthy, with annual sales at 189 and properties spending a median of 82 days on the market.
Median price per sq ft
£604 / sq ft
Average rental yield
5.1%
Capital growth (1y)
-0.4%
Sales in past year
189
* Property stats calculated for last full calendar year (2024).
Live prices in Woodside Park, North London
* Extreme prices clipped for legibility
Median price
£490,000
25% of properties below...
£375,000
75% of properties below...
£721,250
Most expensive property
£2,000,000
Live listings
140
Median days on market
82
Woodside Park’s fundamentals remain reassuring for investors who value stability and rental income over short-term capital gains. The area’s strong professional and family demographic, alongside a dominant private rental market, should help maintain steady demand. Rental yields of 5.1% and above in the top postcode district offer a solid income stream, even if price growth is muted.
With properties spending a median of 82 days on the market and annual sales at 189, liquidity is not a concern. While affordability metrics such as the price-to-income ratio of 6.3 and rent-to-income ratio of 30.5% may seem steep, they are typical for London and unlikely to deter demand. Investors should expect modest capital movement but can rely on the area’s appeal to tenants and the security of a mature market.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Woodside Park, North London

£285,000 - Guide Price
2 bedroom flat for sale
Holden Road, London, N12

£35,000
Garages for sale
Moss Hall Grove, North Finchley, N1...

£1,000,000
5 bedroom semi-detached house for sale
Granville Road, London

£1,150,000
4 bedroom semi-detached house for sale
Brent Way, West Finchley, London, N...

£150,000 - Offers Over
1 bedroom retirement property for sale
Kingsway, London N12

£375,000 - Guide Price
2 bedroom flat for sale
92-94 Holden Road, Woodside Park, N...
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £10,000
• 1 in 4 properties sell at > £30,000 below asking
• 1 in 10 properties sell at > £50,000 below asking
In percentage terms:
• Median discount of 1.9%
• 25% of properties discounted by > 4.4%
• 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.