Taman Manggis Indah
11000 Balik Pulau, Pulau Pinang, Malaysia
11000 Balik Pulau, Pulau Pinang, Malaysia
| LIST.MY · Taman Manggis Indah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Lorong Permatang Pasir 10
|
RM300,000
|
RM340
|
883 sqft
|
|
Cluster |
|
Lorong Permatang Pasir 6
|
RM440,000
|
RM327
|
1,345 sqft
|
|
Terrace |
|
Lorong Permatang Pasir 10
|
RM270,000
|
RM306
|
883 sqft
|
|
Cluster |
Selling in Taman Manggis Indah? Homes here sold for a median of RM300,000.
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Nearby areas in C
Taman Manggis Indah
Taman Mutiara
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 C
Market Snapshot
ResidentialRM300,000
RM327 psfMedian transaction price
Taman Manggis Indah, 11000 Balik Pulau, Pulau Pinang, Malaysia
MapsTaman Manggis Indah in Barat Daya, Penang recorded 3 subsale transactions in 2023, with a median price of RM300K and a median price per square foot (PSF) of RM327.
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 RM300K, with most transactions falling within a stable range of RM270K to RM374K, and a typical market range of RM270K to RM356K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM327, with most transactions between RM313 and RM341. The usual range is RM310.27 to RM343.77, showing that most units are priced quite close to each other. A typical spread (IQR) of RM33.50 and an average deviation (MAD) of RM14 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.