3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ
About 3 Robert Hill Row
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
3 Robert Hill Row is a mid-terrace house in King's Lynn (PE32 1QJ). It has a recorded floor area of 58 m² (around 624 sq ft), construction records dating it to 2007-2011 and council tax band A. The latest certificate (May 2023) shows a C (score 70). When first surveyed in November 2010 the rating was E, the property has climbed 2 bands since. Between certificates, hot-water efficiency went from Very Poor to Poor and lighting went from Good to Very Good. The recommended improvements would lift it to A (score 95), a 2-band jump. Main heating runs on electricity.
Sale prices here have outpaced England HPI: 3.5% per year against 0% for the wider region. Today's modelled estimate of £179,000 is 12.7% below the 2024 sale of £205,000, an unusual pattern given regional price growth and worth checking against the EPC condition. On a £-per-square-foot basis, the last sale (£328/sq ft) was about 95% above the typical sold price in the postcode. At 58 m² it sits well below the postcode median (104 m² across 34 EPCs), making it one of the more compact homes locally. Sold August 2024 for £205,000.
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
Recommended upgrades on file would lift this property by multiple EPC bands.
Current Certificate(1 of 3)
May 2023
EPC Rating
A
B
C
C70
D
E
F
G
Main Heating
Electric
Main Fuel
Electric
Hot Water
Poor
Windows
Good
CO2 Emissions
2.6 t/year
Occupancy
Owner Occupied
Planning history
Applications and permits filed against 3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ, sourced from the PlanIt planning register.
No planning applications are recorded against 3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ. The full report also covers planning activity across the surrounding area.
Full planning data for 3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ
Every application and decision on this property and nearby, in full, in the report.
Sales history & valuation
Recorded transactions, our model's current estimate, and a quick read on what neighbouring properties have sold for.
Current estimate
See how we calculated this£179,000
Modelled from EPC, postcode comparables and a sale-price growth of 3.5% per year over 13 years.
Last sold (2024)
£205,000
Growth on file: 3.5% per year over 13 years.
Sales timeline
Launch offer · 33% off
The complete analysis of 3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ
Everything we know about this property, compiled into one in-depth, downloadable report.
Detailed analysis
A written breakdown of everything that matters
Versus other Lynn Road homes
Four headline reads against 34 similar houses on this street, drawn from the latest EPC and Land Registry data.
On price per m², 3 Robert Hill Row stands well clear of the street.
Price per m²
£3,534
Street avg £1,821
Floor Area
58 m²
Street avg 117 m²
Habitable Rooms
4 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
0.6 km
Road noise across the postcode
Modelled day and night-time noise levels around PE32 1QJ from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
45.1dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 2 points of interest in total.
Common questions
The questions buyers, sellers and homeowners most often ask about 3 Robert Hill Row, Lynn Road, Gayton, King's Lynn, PE32 1QJ. Each answer is also embedded as structured data for search engines.
