A complete guide to property investment in Chapeltown and High Green.
Last updated: 18 September 2025
Chapeltown and High Green offer a property market that balances affordability with steady demand. With a price-to-income ratio of 4.1, homes are accessible to a broad range of buyers, especially families and couples, who make up a significant share of local households. The market is fairly liquid, as shown by properties spending an average of 39 days on the market, and there’s little difference between asking and achieved prices (£0 (the typical achieved discount)), suggesting realistic seller expectations.
Rental yields are respectable, with an average of 4.2% and the top-performing postcode district reaching 4.8%. The area has seen capital growth of 10.7% over three years, though the most recent year has seen values change by -1.8%. This points to long-term resilience even if short-term performance has softened.
Median price per sq ft
£247 / sq ft
Average rental yield
4.2%
Capital growth (1y)
-1.8%
Sales in past year
247
* Property stats calculated for last full calendar year (2024).
Live prices in Chapeltown and High Green, Yorkshire and The Humber
* Extreme prices clipped for legibility
Median price
£250,000
25% of properties below...
£200,000
75% of properties below...
£375,000
Most expensive property
£1,000,000
Live listings
98
Median days on market
39
Looking ahead, Chapeltown and High Green seem likely to maintain their appeal for families and couples, supported by stable owner-occupancy rates and accessible pricing. While the short-term outlook is tempered by the recent change in capital growth (-1.8%), the three-year trend (10.7%) shows underlying strength. Rental demand may not be as robust as in more urbanised areas, given the low proportion of private rented housing, but yields remain competitive.
With homes selling close to asking prices and spending just 39 days on the market, liquidity should remain healthy. Investors can expect steady, if unspectacular, returns — especially those focused on income over rapid capital appreciation. The area’s demographic profile and affordability are likely to keep it on the radar for cautious, long-term investors.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Chapeltown and High Green, Yorkshire and The Humber
£170,000 - Guide Price
2 bedroom detached bungalow for sale
South Road, High Green, Sheffield
£285,000 - Offers in Region of
3 bedroom semi-detached bungalow for sale
Burn Grove, Chapeltown, Sheffield
£100,000 - Guide Price
2 bedroom apartment for sale
Cottam Road, Sheffield
£425,000 - Guide Price
2 bedroom cottage for sale
Cowley Lane, Sheffield
£180,000
2 bedroom bungalow for sale
Mafeking Place, Chapeltown, Sheffie...
Vendors are holding firm; properties tend to sell at close to asking.
• Median discount: £0
• 1 in 4 properties sell at > £5,000 below asking
• 1 in 10 properties sell at > £10,000 below asking
In percentage terms:
• Median discount of 0.0%
• 25% of properties discounted by > 2.6%
• 10% of properties discounted by > 4.0%
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.