Jalan Mount Erskine
18, Jalan Mount Erskine, 10470 George Town, Pulau Pinang, Malaysia
18, Jalan Mount Erskine, 10470 George Town, Pulau Pinang, Malaysia
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Jalan Mount Erskine
|
RM 30,000
|
RM 38
|
799 sqft
|
|
Terrace |
|
Hng Seng Seng Estate
|
RM 23,000
|
RM 43
|
538 sqft
|
|
Bungalow |
|
Jalan Mount Erskine
|
RM 40,000
|
RM 48
|
840 sqft
|
|
Bungalow |
| 2022 | |||||
|
Hong Seng Estate
|
RM 63,000
|
RM 66
|
950 sqft
|
|
Bungalow |
|
Hong Seng Estate
|
RM 94,000
|
RM 103
|
915 sqft
|
|
Terrace |
|
Hong Seng Estate
|
RM 35,000
|
RM 41
|
861 sqft
|
|
Terrace |
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Market Snapshot
ResidentialRM 37,500
RM 45 psfMedian transaction price
18, Jalan Mount Erskine, 10470 George Town, Pulau Pinang, Malaysia
MapsJalan Mount Erskine in Timur Laut, Penang recorded 6 subsale transactions between 2021 and 2026, up to 1,000 sqft, with a median price of RM 38K and a median price per square foot (PSF) of RM 45.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 38K, with most transactions falling within a stable range of RM 23K to RM 62K, and a typical market range of RM 23K to RM 55K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM 45, though individual units vary from RM 22 to RM 68 in the core range. The broader market spans RM 36.81 to RM 53.56, indicating diverse property characteristics. A wider spread (IQR: RM 16.75) and deviation (MAD: RM 23) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.