Our Data Sources
29, Park Mount Drive, Macclesfield has a single entry in the Land Registry from June 2022 and a single entry in the EPC database dated March 2022.
We combine this information with that of neighbouring properties to estimate the property attributes and values.
The local information is scored as 2 out of 5 and is considered of medium accuracy.
Price Range & Condition
The condition of a property plays an important role in determining its value, with the degree of impact varying by property type, size and location.
For 29, Park Mount Drive, Macclesfield, we estimate a market value of £530,207 and a rental value of £1,936 per month when presented in very good decorative order. Should the property require extensive cosmetic improvement, those figures would reduce to £469,612 and £1,715 per month respectively.
Plot Size
HM Land Registry records the plot of land for 29, Park Mount Drive, Macclesfield as measuring 802 m2.
That makes it the 6th largest plot in the postcode, where 22 of the 23 other houses have recorded plot data.
Energy Efficiency
29, Park Mount Drive, Macclesfield has an Energy Performance Rating (EPC) of E. This is based on the most recent assessment, dated 08 Mar 2022.
The property is connected to mains gas and has fully double glazed windows. It is heated using a boiler and radiators (mains gas).
Sold Prices
The most recent sale of 29, Park Mount Drive, Macclesfield completed on 24th June 2022 at £480,000 and was recorded by HM Land Registry as a freehold house.
Since 1995 this is the property's only sale.
Values of comparable properties have risen by 14.4% over the period since June 2022.
- Sold Jun 2022£480,000
Similar Properties Sold Nearby
Since 2010 90 properties similar to 29, Park Mount Drive, Macclesfield have sold within a radius of 640 metres, per the Land Registry and our network of Estate Agents.
The latest, on the 13th May 2026, was 6, Vine Close, Macclesfield, SK11 8PA, a freehold house which sold for £470,624.
Read more about house prices in SK11.
- Sold May 2026£470,624 | 4 Bed House6, Vine Close, Macclesfield, SK11 8PA6, Vine Close, Macclesfield, SK11 8PA
- Sold Apr 2026£440,000 | 4 Bed House39, Grasmere, Macclesfield, SK11 8PL39, Grasmere, Macclesfield, SK11 8PL
- Sold Apr 2025£430,000 | 4 Bed House34, Ivy Lane, Macclesfield, SK11 8NR34, Ivy Lane, Macclesfield, SK11 8NR
- Sold Mar 2025£505,000 | 4 Bed House49, Sycamore Crescent, Macclesfield, SK11 8LW49, Sycamore Crescent, Macclesfield, SK11 8LW
- Sold Dec 2024£450,000 | 4 Bed House4, Vine Close, Macclesfield, SK11 8PA4, Vine Close, Macclesfield, SK11 8PA
Nearby is defined as the radius comprising the nearest 2,000 addresses.
More reading links
Explore Nearby Properties
The surrounding properties have an average estimated value of £341,884, ranging from £245,699 to £491,976.
- 31 Park Mount Drive
3 Bed House | 18 m | Est. Value: £396,522
- 27 Park Mount Drive
3 Bed House | 22 m | Est. Value: £342,081
- 33 Park Mount Drive
4 Bed House | 33 m | Est. Value: £491,976
- 13 Waldon Road
3 Bed House | 35 m | Est. Value: £289,974
- 25 Park Mount Drive
3 Bed House | 36 m | Est. Value: £376,388
Location Comparison
Of the 65 addresses on Park Mount Drive, Macclesfield, SK11, 29, Park Mount Drive, Macclesfield comes out as the 19th largest and the 21st most expensive in our analysis of the public data.
It is also £192k more expensive than the average property across the SK11 district.
More reading links
Schools Nearby
- Ivy Bank Primary School400 m away
- St John the Evangelist CofE Primary School Macclesfield800 m away
- Ash Grove Academy900 m away
- The Macclesfield Academy500 m away
- All Hallows Catholic College800 m away
- Tytherington School2.5 km away
More reading links
Public Transport Nearby
- Macclesfield|1.9 km away
- Prestbury|4.9 km away
- Adlington (Cheshire)|7.9 km away
Available Internet Speeds
Broadband here reaches superfast speeds, based on recent Ofcom data.
According to recent data from Ofcom, Superfast Broadband available in this area.
Risk of Flooding
The flood risk here is rated Very Low, based on Environment Agency data.












