A complete guide to property investment in Middlesbrough.
Last updated: 18 September 2025
Middlesbrough stands out for its strong rental market, with private renting much more common than the national average and a student population in the 90th percentile. Average rental yields are particularly attractive at 6.9%, and some postcodes offer even higher returns. Affordability is a major draw, with a price-to-income ratio of 3.7 and a median price per square foot of £169 per sq ft, both well below many other parts of Britain. The area’s property market is liquid, with homes spending just 43 days on the market and annual sales at 1,694.
However, capital growth over the past year has changed by -1.2%, which is less than impressive, though the three-year growth stands at 6.6%. Investors should weigh the high rental yields against a more modest growth outlook.
Median price per sq ft
£169 / sq ft
Average rental yield
6.9%
Capital growth (1y)
-1.2%
Sales in past year
1,694
* Property stats calculated for last full calendar year (2024).
Live prices in Middlesbrough, North East
* Extreme prices clipped for legibility
Median price
£170,000
25% of properties below...
£100,000
75% of properties below...
£269,950
Most expensive property
£2,350,000
Live listings
904
Median days on market
43
Rental demand in Middlesbrough looks set to remain robust, supported by a high proportion of private renters and a student population in the 90th percentile. Yields are likely to stay attractive, particularly in the best-performing districts, with the top postcode district offering a yield of 10.5%.
Capital growth may be subdued in the short term, given the one-year figure of -1.2%, though the three-year annualised growth rate of 2.2% shows some longer-term promise. With properties selling at a median discount of £2,000 (the typical achieved discount), there’s room for negotiation. Investors should expect solid returns from rental income, but approach with realistic expectations about price appreciation.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Middlesbrough, North East
£129,500 - Offers in Region of
3 bedroom terraced house for sale
Lambeth Road, Linthorpe
£65,000
2 bedroom flat for sale
Broadwell Road, Middlesbrough
£95,000 - Offers in Region of
4 bedroom terraced house for sale
Harford Street, Middlesbrough, Nort...
£700,000 - Offers in Excess of
4 bedroom detached house for sale
Ormesby Bank, Ormesby, Middlesbroug...
£87,500
3 bedroom terraced house for sale
Warwick Street, Middlesbrough
£80,000 - Offers in Region of
2 bedroom terraced house for sale
Acton Street, Middlesbrough
£75,000
1 bedroom flat for sale
Hornbeam Close, Ormesby
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £2,000
• 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 1.4%
• 25% of properties discounted by > 4.0%
• 10% of properties discounted by > 6.9%
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.