2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF
Notable views
About 2 Eyam Woodlands
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
2 Eyam Woodlands is a three-bedroom semi-detached house in Grindleford, Hope Valley, Hope Valley (S32 2HF). It has a recorded floor area of 88 m² (around 947 sq ft) and construction records dating it to 1930-1949. The latest certificate (August 2021) shows a C (score 79), near the top of the C band. The recommended improvements would lift it to A (score 93), a 2-band jump. Other recorded features include notable views. The home occupies a corner plot and a cul-de-sac position.
On energy efficiency it sits in the top 10% of properties in this postcode. Today's modelled estimate of £382,000 is 14% above the 2021 sale price. On a £-per-square-foot basis, the last sale (£354/sq ft) was about 51.8% above the typical sold price in the postcode. Last sale on file: £335,000 in November 2021. That sale was during the post-pandemic price surge, when transactions cleared materially above pre-2020 trend.
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
- Bedrooms3
- Bathrooms1
- StudyYes
Outside
- Notable views
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
2 Eyam Woodlands ranks among the most efficient homes in the postcode for energy use.
EPC Rating
A
B
C
C79
D
E
F
G
Main Heating
Gas
Main Fuel
Gas
Hot Water
Good
Windows
Average
CO2 Emissions
3.5 t/year
Occupancy
Owner Occupied
Planning history
Applications and permits filed against 2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF, sourced from the PlanIt planning register.
No planning applications are recorded against 2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF. The full report also covers planning activity across the surrounding area.
Full planning data for 2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF
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.
The latest sale landed in the post-pandemic price surge — useful context when reading the figure.
Current estimate
See how we calculated this£382,000
Modelled from EPC, postcode comparables.
Last sold (2021)
£335,000
Recorded with HM Land Registry.
Sales timeline
Launch offer · 33% off
The complete analysis of 2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF
Everything we know about this property, compiled into one in-depth, downloadable report.
Detailed analysis
A written breakdown of everything that matters
Versus other Eyam Woodlands homes
Four headline reads against 11 similar houses on this street, drawn from the latest EPC and Land Registry data.
2 Eyam Woodlands outperforms the street on epc rating by a wide margin.
Price per m²
£3,807
Street avg £3,486
Floor Area
88 m²
Street avg 93 m²
Habitable Rooms
5 rooms
Street avg 5 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 Hope Valley district page.
Daytime road noise here sits well below conversation level — a quiet pocket of the postcode.
Crime
1/mo
Steady year-on-year across the wider district.
Nearest stop
0.1 km
Road noise across the postcode
Modelled day and night-time noise levels around S32 2HF from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
45.6dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 30 points of interest in total.
Common questions
The questions buyers, sellers and homeowners most often ask about 2 Eyam Woodlands, Grindleford, Hope Valley, S32 2HF. Each answer is also embedded as structured data for search engines.
