A complete guide to property investment in Totnes.
Last updated: 10 January 2026
Totnes is a distinctive market town that has seen notable property price growth over the past three years, with a capital growth of 20.0% and annualised growth of 6.3%. The area’s character, combined with a high proportion of degree-educated residents — sitting in the 80th percentile — makes it attractive to both investors and discerning tenants. While the population skews older, with a large share aged 60 and above, demand remains steady, as evidenced by properties typically spending 72 days on the market. The median price per square foot stands at £416 per sq ft, with three-bedroom houses asking a median of £450,000 and two-bedroom flats at £325,000. Rental yields average 3.3%, and the local top-performing area achieves 3.8%.
Median price per sq ft
£416 / sq ft
Average rental yield
3.3%
Capital growth (1y)
3.1%
Sales in past year
163
* Property stats calculated for last full calendar year (2024).
Live prices in Totnes, South West
* Extreme prices clipped for legibility
Median price
£400,000
25% of properties below...
£298,750
75% of properties below...
£600,000
Most expensive property
£1,200,000
Live listings
104
Median days on market
72
Totnes shows a steady property market, with recent capital growth and relatively quick sales at 72 days. Rental yields are moderate at 3.3%, but the area’s strong performance in capital appreciation and the ability to negotiate on price provide some upside for investors. The older demographic and modest sales volume may keep growth measured rather than explosive, yet the high proportion of degree-educated and professional residents supports ongoing demand.
Looking ahead over the next year, expect Totnes to maintain its appeal for buyers seeking stability and investors who value long-term growth. Affordability pressures may slow price acceleration, but the area’s fundamentals remain sound, with a balanced mix of owner-occupied and rented homes. Investors should remain mindful of liquidity but can take confidence from the area’s recent performance and enduring desirability.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Totnes, South West

£300,000
3 bedroom semi-detached house for sale
Elizabeth Court, Totnes, Devon

£450,000
3 bedroom apartment for sale
High Street, Totnes

£100,000
2 bedroom flat for sale
Coronation Road, Totnes, Devon, TQ9

£450,000
2 bedroom apartment for sale
Flat 1, Springfield, Jubilee Road, ...

£180,000
3 bedroom flat for sale
Plymouth Road, Totnes, Devon, TQ9

£500,000 - Guide Price
9 bedroom house of multiple occupation for sale
1 Queens Terrace, Totnes, Devon, TQ...
Typical discounts are limited but real — expect to achieve a reduction off asking.
• Median discount: £8,000
• 1 in 4 properties sell at > £20,250 below asking
• 1 in 10 properties sell at > £26,600 below asking
In percentage terms:
• Median discount of 1.6%
• 25% of properties discounted by > 4.8%
• 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.