A complete guide to property investment in Kiveton Park.
Last updated: 18 September 2025
Kiveton Park offers a solid proposition for property investors who value affordability and stable demand. The area stands out for its accessible price-to-income ratio of 3.7, making it easier for a broad range of buyers to enter the market. The dominance of owner-occupied homes, sitting in the 70th percentile, signals a settled community with long-term residents. Families are particularly well represented here, with the area in the 65th percentile for family households, which bodes well for steady rental demand and fewer void periods.
Recent capital growth has been mixed, with the past year seeing values change by -0.7%, but the three-year picture is much brighter, showing a total growth of 19.6% and annualised growth of 6.1%. Liquidity looks healthy, as homes spend an average of 52 days on the market, and sellers are typically achieving their asking prices, as shown by the £0 (the typical achieved discount) difference.
Median price per sq ft
£207 / sq ft
Average rental yield
4.6%
Capital growth (1y)
-0.7%
Sales in past year
95
* Property stats calculated for last full calendar year (2024).
Live prices in Kiveton Park, Yorkshire and The Humber
* Extreme prices clipped for legibility
Median price
£325,000
25% of properties below...
£230,000
75% of properties below...
£550,000
Most expensive property
£1,200,000
Live listings
79
Median days on market
52
Looking ahead, Kiveton Park’s property market appears steady, underpinned by strong fundamentals like a high proportion of family and couple households and a healthy owner-occupier base. While the past year’s capital growth of -0.7% may give some investors pause, the robust three-year growth of 19.6% and annualised rate of 6.1% suggest the area has underlying resilience.
Rental yields remain competitive at 4.6%, and with a top postcode district yield of 5.2%, there is scope for above-average returns for those who select carefully. Affordability remains a draw for buyers and tenants alike, and with homes selling in an average of 52 days, liquidity should not be a major concern. Overall, Kiveton Park offers a balanced mix of stability and opportunity for investors willing to look past short-term fluctuations.
Average yield (%)
* 2025 data for YTD
Median price per sq ft (£/sq ft)
* 2025 data for YTD
Investment properties in Kiveton Park, Yorkshire and The Humber
£180,000
3 bedroom semi-detached house for sale
Fir Tree Drive, Wales, Sheffield
£300,000
2 bedroom cottage for sale
Manor Road, Wales, Sheffield, S26 5...
£600,000 - Guide Price
5 bedroom detached house for sale
Station Road, Kiveton Park, Sheffie...
£120,000
2 bedroom end of terrace house for sale
Carrington Terrace, Kiveton Park, S...
Asking and achieved prices are broadly aligned — little negotiation room on average.
• Median discount: £0
• 1 in 4 properties sell at > £7,425 below asking
• 1 in 10 properties sell at > £12,900 below asking
In percentage terms:
• Median discount of 0.0%
• 25% of properties discounted by > 4.1%
• 10% of properties discounted by > 8.0%
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.