Taman Genting Emas
11000 Balik Pulau, Pulau Pinang, Malaysia
11000 Balik Pulau, Pulau Pinang, Malaysia
| LIST.MY · Taman Genting Emas | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Level 5
|
RM198,000
|
RM263
|
753 sqft
|
|
LC Flat |
| 2023 | |||||
|
Level 4
|
RM185,000
|
RM246
|
753 sqft
|
|
Flat |
|
Level 3
|
RM184,000
|
RM244
|
753 sqft
|
|
Flat |
| 2022 | |||||
|
Level 4
|
RM190,000
|
RM252
|
753 sqft
|
|
Flat |
|
Level 5
|
RM200,000
|
RM265
|
753 sqft
|
|
LC Flat |
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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 G
Market Snapshot
ResidentialRM190,000
RM252 psfMedian transaction price
Taman Genting Emas, 11000 Balik Pulau, Pulau Pinang, Malaysia
MapsTaman Genting Emas in Barat Daya, Penang recorded 5 subsale transactions between 2021 and 2026, sized between 725 and 774 sqft, with a median price of RM190K and a median price per square foot (PSF) of RM252.
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 RM190K, with most transactions falling within a stable range of RM184K to RM197K, and a typical market range of RM184K to RM200K.
Most transactions involved flats, with high diversity across multiple property types.
For price per square foot, the median is RM252, with most transactions between RM243 and RM261. The usual range is RM207.67 to RM296.67, showing that most units are priced quite close to each other. With an IQR of RM89.00 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.
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.