A complete guide to property investment in Oxford.
Last updated: 25 March 2026
Oxford stands out for its strong academic and professional base, with the degree-educated and professional population both in the top percentiles nationally. The city’s private rental sector is unusually large, with private rented housing in the 91st percentile compared to the rest of Britain, making it a magnet for landlords. Demand is underpinned by a student population in the 99th percentile and a high proportion of young adults, which creates a steady stream of tenants. The market is lively, with properties spending an average of 76 days on the market and a median discount to asking price of £2,000 (the typical achieved discount), suggesting sellers are generally achieving close to their expectations.
Median price per sq ft
£516 / sq ft
Average rental yield
5.0%
Capital growth (1y)
0.9%
Sales in past year
1,299
* Property stats calculated for last full calendar year (2024).
Live prices in Oxford, South East
* Extreme prices clipped for legibility
Median price
£495,000
25% of properties below...
£365,000
75% of properties below...
£700,000
Most expensive property
£7,950,000
Live listings
928
Median days on market
76
Oxford’s property market looks set to remain buoyant, underpinned by its unique demographics and status as a global education hub. The past year has seen capital values change by 0.9%, while the three-year annualised growth sits at 2.5%, offering a picture of steady, if unspectacular, growth. Investors can expect liquidity to remain reasonable, given annual sales of 1,299 and the current pace of transactions.
Rental demand should stay resilient thanks to the city’s large student and professional base, but affordability pressures may act as a ceiling on both sale and rental price increases. Overall, Oxford is likely to continue rewarding patient investors who value stability and reliable rental income over rapid capital gains.
Average yield (%)
Median price per sq ft (£/sq ft)
Investment properties in Oxford, South East

£250,000
3 bedroom semi-detached house for sale
Newlin Close, Oxford

£325,000 - Offers Over
3 bedroom end of terrace house for sale
Burchester Avenue, Headington, OX3

£150,000 - Guide Price
1 bedroom apartment for sale
London Road, Headington

£1,150,000 - Guide Price
4 bedroom garages for sale
Abingdon Road, Oxford, Oxfordshire,...

£450,000
4 bedroom terraced house for sale
New Hinksey, Oxford, OX1

£1,650,000 - Guide Price
5 bedroom detached house for sale
North Hinksey Village, Oxford, OX2

£105,000
2 bedroom apartment for sale
Augustine Way, Oxford

£125,000 - Guide Price
1 bedroom park home for sale
St Nicholas Park Butts Lane, Old Ma...
Vendors are holding firm; properties tend to sell at close to asking.
• Median discount: £2,000
• 1 in 4 properties sell at > £12,625 below asking
• 1 in 10 properties sell at > £25,000 below asking
In percentage terms:
• Median discount of 0.5%
• 25% of properties discounted by > 2.6%
• 10% of properties discounted by > 4.8%
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.