A complete guide to property investment in Herne Bay.
Last updated: 18 September 2025
Herne Bay offers a property market with a mix of steady rental returns and subdued capital growth. Investors will note a median price per square foot of £340 per sq ft and a price-to-income ratio of 7.3, which puts affordability in a reasonable range for the South East. The average rental yield of 6.8% stands out, especially when compared to more expensive coastal towns. Liquidity appears moderate, with annual sales of 344 and homes spending an average of 63 days on the market.
Discounts are common, as shown by the median achieved minus asking price of £9,995 (the typical achieved discount), suggesting buyers have some negotiating power. The rental market is backed by a relatively high proportion of private renters, and the local population skews older, with a strong presence of single occupiers and retirees.
Median price per sq ft
£340 / sq ft
Average rental yield
6.8%
Capital growth (1y)
-6.5%
Sales in past year
344
* Property stats calculated for last full calendar year (2024).
Live prices in Herne Bay, South East
* Extreme prices clipped for legibility
Median price
£365,000
25% of properties below...
£247,000
75% of properties below...
£484,750
Most expensive property
£1,000,000
Live listings
335
Median days on market
63
Over the next year, Herne Bay’s property market is likely to remain stable, with income-focused investors continuing to benefit from strong rental yields of 6.8%. However, with capital growth over 1 year at -6.5% and over 3 years at -0.9%, price appreciation looks limited for now.
Liquidity should remain healthy, given the annual sales of 344 and average time on market of 63 days. Buyers can expect to negotiate, as indicated by the median discount of £9,995 (the typical achieved discount). In summary, Herne Bay is best suited to investors who prioritise rental income over capital gains, and who are comfortable with an older, stable tenant base.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Herne Bay, South East
£249,000 - Guide Price
4 bedroom terraced house for sale
Charles Street, Herne Bay, CT6 5JF
£110,000 - Guide Price
1 bedroom retirement property for sale
Richmond Street, Herne Bay, CT6
£1,000,000
5 bedroom terraced house for sale
St. Georges Terrace, Herne Bay
£135,000 - Offers in Excess of
2 bedroom maisonette for sale
Canterbury Road, Herne Bay
£650,000
4 bedroom semi-detached house for sale
Western Esplanade, Herne Bay
£63,000
1 bedroom retirement property for sale
Beach Street, Herne Bay
£275,000 - Guide Price
3 bedroom semi-detached house for sale
South Road, Herne Bay, Kent, CT6 5A...
On average, properties sell slightly below asking; careful comp analysis is key.
• Median discount: £9,995
• 1 in 4 properties sell at > £15,000 below asking
• 1 in 10 properties sell at > £25,000 below asking
In percentage terms:
• Median discount of 2.4%
• 25% of properties discounted by > 4.3%
• 10% of properties discounted by > 7.7%
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.