Home Cloisters Farm, 79 Station Road, Roydon, King's Lynn, PE32 1AW
1 planning record
About Home Cloisters Farm
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
Home Cloisters Farm is a five-bedroom detached house in King's Lynn (PE32 1AW). It has a recorded floor area of 226 m² (around 2433 sq ft), construction records dating it to before 1900 and council tax band G. The latest certificate (September 2020) shows an F (score 32), near the bottom of the EPC scale. The recommended improvements would lift it to C (score 75), a 3-band jump. Main heating runs on oil.
At 226 m² the property is well over the postcode median (121 m² across 27 EPCs), placing it in the larger end of the local stock. It lags the bulk of the postcode on energy efficiency (less efficient than 85% of similar EPCs). Today's modelled estimate of £907,000 is 13.2% above the 2021 sale price. On a £-per-square-foot basis, the last sale (£329/sq ft) was about 90.6% above the typical sold price in the postcode. Sold March 2021 for £801,260. That sale was during the post-pandemic price surge, when transactions cleared materially above pre-2020 trend. One historical planning record sits against the property in 2025.
What this property has
Pulled from EPC certificates, claim submissions and our property model. Empty categories are hidden — we only show what's known.
Inside
- Bedrooms5
- Bathrooms3
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
Home Cloisters Farm's carbon output runs well above what efficient homes in the postcode produce.
EPC Rating
A
B
C
D
E
F
F32
G
Main Heating
Gas
Main Fuel
Oil
Hot Water
Average
Windows
Very Poor
CO2 Emissions
18.0 t/year
Occupancy
Owner Occupied
Planning history
Applications and permits filed against Home Cloisters Farm, 79 Station Road, Roydon, King's Lynn, PE32 1AW, sourced from the PlanIt planning register.
Planning history includes recorded demolition works, indicating a major rebuild phase at this address.
- Jul 2025ConservatoryOutlineNot Lawful
Sales history & valuation
Recorded transactions, our model's current estimate, and a quick read on what neighbouring properties have sold for.
Latest sale on Home Cloisters Farm was the highest on Land Registry record across the postcode.
Current estimate
See how we calculated this£907,000
Modelled from EPC, postcode comparables.
Last sold (2021)
£801,260
Recorded with HM Land Registry.
Sales timeline
Launch offer · 33% off
The complete analysis of Home Cloisters Farm, 79 Station Road, Roydon, King's Lynn, PE32 1AW
Everything we know about this property, compiled into one in-depth, downloadable report.
Detailed analysis
A written breakdown of everything that matters
Versus other Station Road homes
Four headline reads against 27 similar houses on this street, drawn from the latest EPC and Land Registry data.
Price per m² for Home Cloisters Farm runs comfortably ahead of the street norm.
Price per m²
£3,545
Street avg £1,997
Floor Area
226 m²
Street avg 142 m²
Habitable Rooms
10 rooms
Similar properties nearby
A handful of close matches in the same postcode area, ranked by likeness on bedrooms, type and floor area.
The neighbourhood at a glance
A condensed read of the local area. Each tile links through to the full breakdown on the King's Lynn district page.
Daytime road noise here sits well below conversation level — a quiet pocket of the postcode.
Crime
3/mo
Steady year-on-year across the wider district.
Closest school
1.6 km
Road noise across the postcode
Modelled day and night-time noise levels around PE32 1AW from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
44.8dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 1 points of interest in total.
Common questions
The questions buyers, sellers and homeowners most often ask about Home Cloisters Farm, 79 Station Road, Roydon, King's Lynn, PE32 1AW. Each answer is also embedded as structured data for search engines.
