Taman Nilam Tanjung
14100 Simpang Ampat, Pulau Pinang, Malaysia
14100 Simpang Ampat, Pulau Pinang, Malaysia
| LIST.MY · Taman Nilam Tanjung | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Lorong Tanjong 1/2
|
RM320,000
|
RM221
|
1,449 sqft
|
|
Terrace |
|
Lorong Tanjung 1/2
|
RM350,000
|
RM242
|
1,449 sqft
|
|
Terrace |
|
Jalan Tanjung 2
|
RM325,000
|
RM218
|
1,494 sqft
|
|
Terrace |
Selling in Taman Nilam Tanjung? Homes here sold for a median of RM325,000.
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Taman Nilam Tanjung
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 13
Market Snapshot
ResidentialRM325,000
RM221 psfMedian transaction price
Taman Nilam Tanjung, 14100 Simpang Ampat, Pulau Pinang, Malaysia
MapsTaman Nilam Tanjung in Seberang Perai Selatan, Penang recorded 3 subsale transactions in 2022, with a median price of RM325K and a median price per square foot (PSF) of RM221.
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 RM325K, with most transactions falling within a stable range of RM320K to RM338K, and a typical market range of RM320K to RM350K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM221, with most transactions between RM210 and RM231. The usual range is RM203.80 to RM237.80, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 and an average deviation (MAD) of RM11 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.