A complete guide to property investment in Locks Heath.
Last updated: 18 September 2025
Locks Heath stands out for its strong owner-occupier base, with the area sitting in the 91st percentile for this metric. The local housing market is relatively active, seeing 535 homes changing hands each year, while properties typically spend 63 days on the market before finding a buyer. Investors will note a median price per square foot of £392 per sq ft, and a price-to-income ratio of 5.6, signalling a balance between affordability and demand. The achieved price sits at a median discount of £5,000 (the typical achieved discount), providing some negotiation room for buyers.
Rental yields in Locks Heath are solid, with an average of 4.7%, and the top postcode district achieving 5.2%. This is complemented by a rent-to-income ratio of 22.7%, which suggests that rents are manageable for local tenants.
Median price per sq ft
£392 / sq ft
Average rental yield
4.7%
Capital growth (1y)
-1.4%
Sales in past year
535
* Property stats calculated for last full calendar year (2024).
Live prices in Locks Heath, South East
* Extreme prices clipped for legibility
Median price
£450,000
25% of properties below...
£350,000
75% of properties below...
£625,000
Most expensive property
£4,750,000
Live listings
402
Median days on market
63
Looking ahead, Locks Heath is likely to remain attractive to families and couples, given its high owner-occupation and strong representation of these household types. The affordability metrics, including a price-to-income ratio of 5.6 and a rent-to-income ratio of 22.7%, suggest that both buyers and renters can find options within reach.
Although capital growth over the past year has changed by -1.4%, the three-year annualised growth rate of 2.9% points to steady performance in the medium term. The local market’s liquidity, with properties spending 63 days on the market and annual sales at 535, should give investors confidence in their ability to buy and sell. Overall, the outlook is mildly positive, with Locks Heath offering a balanced environment for property investment.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Locks Heath, South East
£425,000 - Guide Price
4 bedroom detached house for sale
Hunts Pond Road, Fareham, SO31
£350,000
2 bedroom apartment for sale
FRIARY MEADOW, TITCHFIELD
£375,000
3 bedroom semi-detached house for sale
'The Close' Bellfield, Titchfield
£1,000,000 - Offers in Excess of
5 bedroom detached house for sale
Brook Lane, Sarisbury Green, SO31
£1,625,000
5 bedroom detached house for sale
Brook Avenue, Warsash, Southampton
£74,995
1 bedroom retirement property for sale
High Oaks Close, SO31
Typical discounts are limited but real — expect to achieve a reduction off asking.
• Median discount: £5,000
• 1 in 4 properties sell at > £14,375 below asking
• 1 in 10 properties sell at > £22,050 below asking
In percentage terms:
• Median discount of 1.6%
• 25% of properties discounted by > 3.3%
• 10% of properties discounted by > 5.3%
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.