17 Lea Street, New Mills, High Peak, SK22 3DS
About 17 Lea Street
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
17 Lea Street is a three-bedroom end-of-terrace house in New Mills, High Peak, High Peak (SK22 3DS). It has a recorded floor area of 123 m² (around 1324 sq ft), construction records dating it to 1900-1929 and council tax band C. The latest certificate (June 2025) shows an E (score 52), well below the UK norm with real room to improve. The recommended improvements would lift it to B (score 84), a 3-band jump.
Sale prices here have outpaced High Peak HPI: 4.1% per year against 0.2% for the wider region. Today's modelled estimate of £312,000 is 24.8% above the 2025 sale price. On a £-per-square-foot basis, the last sale (£189/sq ft) was about 40.7% above the typical sold price in the postcode. At 123 m² the property is well over the postcode median (74 m² across 14 EPCs), placing it in the larger end of the local stock. It lags the bulk of the postcode on energy efficiency (less efficient than 79% of similar EPCs). A recent sale: £250,000 in July 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
- Bedrooms3
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
17 Lea Street's carbon output runs well above what efficient homes in the postcode produce.
EPC Rating
A
B
C
D
E
E52
F
G
Main Heating
Gas
Main Fuel
Gas
Hot Water
Good
Windows
Average
CO2 Emissions
8.1 t/year
Occupancy
Owner Occupied
Planning history
Applications and permits filed against 17 Lea Street, New Mills, High Peak, SK22 3DS, sourced from the PlanIt planning register.
No planning applications are recorded against 17 Lea Street, New Mills, High Peak, SK22 3DS. The full report also covers planning activity across the surrounding area.
Full planning data for 17 Lea Street, New Mills, High Peak, SK22 3DS
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.
17 Lea Street valuation sits well clear of the typical sold price in this postcode.
Current estimate
See how we calculated this£312,000
Modelled from EPC, postcode comparables and a sale-price growth of 4.1% per year over 14 years.
Last sold (2025)
£250,000
Growth on file: 4.1% per year over 14 years.
Sales timeline
Launch offer · 33% off
The complete analysis of 17 Lea Street, New Mills, High Peak, SK22 3DS
Everything we know about this property, compiled into one in-depth, downloadable report.
Detailed analysis
A written breakdown of everything that matters
Versus other Lea Street homes
Four headline reads against 14 similar houses on this street, drawn from the latest EPC and Land Registry data.
Years Held for 17 Lea Street lags the street by a wide margin.
Price per m²
£2,033
Street avg £1,914
Floor Area
123 m²
Street avg 79 m²
Habitable Rooms
7 rooms
Street avg 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 High Peak district page.
Rail-style transport is unusually close for this postcode.
Crime
3/mo
Steady year-on-year across the wider district.
Nearest stop
0.1 km
Alsfeld Way — bus stop.
Road noise across the postcode
Modelled day and night-time noise levels around SK22 3DS from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
47.2dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 39 points of interest in total.
Common questions
The questions buyers, sellers and homeowners most often ask about 17 Lea Street, New Mills, High Peak, SK22 3DS. Each answer is also embedded as structured data for search engines.
