30 Ashdown Place, Corby, NN17 1FH
3 sales on record
About 30 Ashdown Place
A plain-English summary derived from public records, EPC certificates, sold prices and local data.
30 Ashdown Place is a semi-detached house in Corby (NN17 1FH). It has a recorded floor area of 57 m² (around 614 sq ft), construction records dating it to 1976-1982 and council tax band B. The latest certificate (December 2019) shows a D (score 61), on the cusp of jumping into the C band. The rating has held steady at D across 2 certificates since October 2009. Between certificates, main heating went from Poor to Average; while wall efficiency dropped from Good to Average and lighting dropped from Good to Very Poor. The recommended improvements would push it to C (score 77). Main heating runs on electricity. At 57 m² this is the 25th smallest of 28 units on EPC record in the building, where floor areas span 25–69 m². The building's EPC ratings span F to C across 28 units on file.
Sale prices here have outpaced England HPI: 3.4% per year against 0% for the wider region. Today's modelled estimate of £128,000 sits 74.5% above the 2024 sale of £73,333. On a £-per-square-foot basis, the last sale (£120/sq ft) was about 17.9% above the typical sold price in the postcode. At 57 m² the property is well over the postcode median (33 m² across 27 EPCs), placing it in the larger end of the local stock. Most recent transfer: March 2024 at £73,333.
Energy performance
Every EPC certificate filed against this property — current rating, recorded improvements, and where there's headroom to reach a higher band.
Current Certificate(1 of 2)
Dec 2019
EPC Rating
A
B
C
D
D61
E
F
G
Main Heating
Electric
Main Fuel
Electric
Hot Water
Average
Windows
Average
CO2 Emissions
4.5 t/year
Occupancy
Rented
Planning history
Applications and permits filed against 30 Ashdown Place, Corby, NN17 1FH, sourced from the PlanIt planning register.
No planning applications are recorded against 30 Ashdown Place, Corby, NN17 1FH. The full report also covers planning activity across the surrounding area.
Full planning data for 30 Ashdown Place, Corby, NN17 1FH
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.
Sale price has at least doubled since 1995.
Current estimate
See how we calculated this£128,000
Modelled from EPC, postcode comparables and a sale-price growth of 3.4% per year over 29 years.
Last sold (2024)
£73,333
Growth on file: 3.4% per year over 29 years.
Sales timeline
Launch offer · 33% off
The complete analysis of 30 Ashdown Place, Corby, NN17 1FH
Everything we know about this property, compiled into one in-depth, downloadable report.
Detailed analysis
A written breakdown of everything that matters
Versus other Ashdown Place homes
Four headline reads against 26 similar flats on this street, drawn from the latest EPC and Land Registry data.
On years held, 30 Ashdown Place runs well behind the street norm.
Price per m²
£1,287
Street avg £1,514
Floor Area
57 m²
Street avg 35 m²
Habitable Rooms
3 rooms
Street avg 2 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 Corby district page.
Daytime road noise here sits well below conversation level — a quiet pocket of the postcode.
Crime
4/mo
Steady year-on-year across the wider district.
Nearest stop
0.0 km
Road noise across the postcode
Modelled day and night-time noise levels around NN17 1FH from Defra's strategic mapping. The pin marks this postcode's centroid.
Daytime· 07:00 – 23:00
49.3dB
Everything within walking distance
Schools, transport stops and scenic spots near this property — 47 points of interest in total.
Common questions
The questions buyers, sellers and homeowners most often ask about 30 Ashdown Place, Corby, NN17 1FH. Each answer is also embedded as structured data for search engines.
