| Road | Price | PSF | Size | Date | Type |
|---|
|
Persiaran Greenhill
|
RM900,000
|
RM393
|
2,293 sqft
|
|
|
Lorong Greenhill(Jalan Dato Seri Ahmad Said)
|
RM1,200,000
|
RM346
|
3,466 sqft
|
|
|
Persiaran Greenhill
|
RM2,100,000
|
RM493
|
4,263 sqft
|
|
|
|
Persiaran Greenhill
|
RM1,400,000
|
RM328
|
4,263 sqft
|
|
|
Prsn Green Hill, Greentown, Ipoh.
|
RM1,900,000
|
RM339
|
5,608 sqft
|
|
|
Persiaran Greenhill
|
RM4,200,000
|
RM260
|
16,135 sqft
|
|
Selling in Lorong Green / Pers Greenhill? Homes here sold for a median of RM1,650,000.
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Lorong Green / Pers Greenhill
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ipoh Utara
Lorong Green / Pers Greenhill in Kinta, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM1.65 million and a median price per square foot (PSF) of RM346.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.65 million, with most transactions falling within a stable range of RM1.20 million to RM2.10 million, and a typical market range of RM1.25 million to RM2.05 million.
Most transactions involved 3 - 3 1/2 storey shop, with moderate diversity in property types available.
Price per square foot shows a median of RM346, though individual units vary from RM181 to RM512 in the core range. The broader market spans RM194.72 to RM497.72, indicating diverse property characteristics. A wider spread (IQR: RM303.00) and deviation (MAD: RM166) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.