A complete guide to property investment in Chapel-en-le-Frith.
Last updated: 18 September 2025
Chapel-en-le-Frith stands out for its steady performance, with capital growth over one year at 6.0% and over three years at 17.1%. The area’s affordability is notable, as shown by a price-to-income ratio of 5.0, which is relatively manageable compared to many UK markets. Sales liquidity is moderate, with properties taking a median of 96 days to find a buyer, and annual sales reaching 103. The achieved prices are typically just £5,500 (the typical achieved discount) below asking, suggesting buyers and sellers are not miles apart.
Owner-occupation is high (in the 81st percentile), and the population skews older, with a large proportion of couples and residents aged 60 and above. This creates a stable environment but may limit rapid demographic shifts.
Median price per sq ft
£309 / sq ft
Average rental yield
-
Capital growth (1y)
6.0%
Sales in past year
103
* Property stats calculated for last full calendar year (2024).
Live prices in Chapel-en-le-Frith, East Midlands
* Extreme prices clipped for legibility
Median price
£297,475
25% of properties below...
£250,000
75% of properties below...
£487,625
Most expensive property
£1,850,000
Live listings
124
Median days on market
96
The outlook for Chapel-en-le-Frith remains positive, given the area’s history of steady growth and its strong owner-occupier base. With a median asking price for a three-bedroom house at £289,000 and a two-bedroom flat at £220,000, affordability should continue to underpin demand.
Rental yields are not the main attraction here, but the stability and predictability of the sales market will appeal to investors who value lower volatility. The older demographic and high proportion of couples suggest that family homes will stay in demand, while high owner-occupation should help support prices. Investors should expect gradual rather than explosive returns, but the fundamentals look resilient for the next year.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Chapel-en-le-Frith, East Midlands
£250,000
3 bedroom semi-detached house for sale
Frith View, Chapel-En-Le-Frith, SK2...
£299,950
4 bedroom semi-detached house for sale
Grange Park Road, Chapel-En-Le-Frit...
£170,000 - Guide Price
2 bedroom detached bungalow for sale
Oak Close, Chapel-En-Le-Frith
£1,695,000 - Guide Price
7 bedroom detached house for sale
Castle Manor, 127 Manchester Road, ...
£1,295,000 - Guide Price
5 bedroom detached house for sale
Manchester Road, Chapel-En-Le-Frith...
£250,000
3 bedroom semi-detached house for sale
Manchester Road, Chapel-En-Le-Frith...
Discounts exist, but they won't transform deal economics on their own.
• Median discount: £5,500
• 1 in 4 properties sell at > £10,000 below asking
• 1 in 10 properties sell at > £10,750 below asking
In percentage terms:
• Median discount of 2.1%
• 25% of properties discounted by > 3.6%
• 10% of properties discounted by > 4.4%
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.