A complete guide to property investment in Wakefield.
Last updated: 3 November 2025
Wakefield offers a blend of affordability and steady growth, making it an accessible entry point for property investors. The average price-to-income ratio of 4.5 suggests that homes remain within reach for many local buyers, which can help support demand. Rental yields are robust, with an average of 5.9%, and the top performing postcode district delivers an even higher yield of 6.8%. The market is active, with 1,193 sales annually and properties typically spending 65 days on the market before selling.
The median asking sale price for a 3-bedroom house sits at £270,000, while a 2-bedroom flat is currently listed at £115,000. For investors focused on rental income, the median rent for a 3-bedroom house is £1,095, and a 2-bedroom flat commands £872.
Median price per sq ft
£248 / sq ft
Average rental yield
5.9%
Capital growth (1y)
2.6%
Sales in past year
1,193
* Property stats calculated for last full calendar year (2024).
Live prices in Wakefield, Yorkshire and The Humber
* Extreme prices clipped for legibility
Median price
£295,000
25% of properties below...
£200,000
75% of properties below...
£400,000
Most expensive property
£3,000,000
Live listings
790
Median days on market
65
Looking ahead, Wakefield’s property market appears stable, with a combination of affordability and consistent rental demand underpinning its prospects. The annual sales figure of 1,193 and days on market at 65 days suggest reasonable liquidity, while the rent-to-income ratio of 19.4% indicates that rents remain manageable for local tenants.
With capital growth over one year at 2.6% and three-year annualised growth at 3.1%, investors can expect gradual appreciation rather than rapid gains. The area’s demographic mix, with a relatively high proportion of younger adults and single occupier households, may continue to support rental demand. Overall, Wakefield offers a balanced outlook for investors who value income and steady growth over speculative returns.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Wakefield, Yorkshire and The Humber

£99,995
2 bedroom terraced house for sale
Gordon Street, Agbrigg, WF1

£58,000
1 bedroom apartment for sale
Woodlands Village, Wakefield

£100,000
1 bedroom apartment for sale
Mulberry House, Wakefield

£200,000 - Guide Price
4 bedroom terraced house for sale
Henry Street, Wakefield, West Yorks...

£1,850,000
12 bedroom detached house for sale
North Avenue, Wakefield

£65,000
1 bedroom apartment for sale
Elgar Walk, Stanley, Wakefield, Wes...

£90,000 - Offers in Excess of
1 bedroom flat for sale
18 George St, Leeds, WF1
Discounts exist, but they won't transform deal economics on their own.
• Median discount: £3,000
• 1 in 4 properties sell at > £8,000 below asking
• 1 in 10 properties sell at > £15,000 below asking
In percentage terms:
• Median discount of 1.7%
• 25% of properties discounted by > 3.5%
• 10% of properties discounted by > 5.6%
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.