| LIST.MY · Padang Limau Nipis | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Rawai - Pasir Tinggi (P/L:9
|
RM279,000
|
RM103
|
2,713 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Rawai - Pasir Tinggi (P/L:9
|
RM260,000
|
RM95
|
2,723 sqft
|
|
Semi-D |
Selling in Padang Limau Nipis? Homes here sold for a median of RM269,500.
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Nearby areas in Alur Limbat
Taman Rawai Perdana
Rawai
Tasek
Alur Limbat
Binjai Rendah
Park Cherang Guling
Bukit Payong
Durian Guling
Taman Desa Salam (Mr 29-00)
Banggol Katong
Padang Limau Nipis
Telaga Mengkudu
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 Alur Limbat
Market Snapshot
ResidentialRM269,500
RM99 psfMedian transaction price
Padang Limau Nipis in Marang, Terengganu recorded 2 subsale transactions between 2021 and 2026, sized between 2,675 and 2,724 sqft, with a median price of RM270K and a median price per square foot (PSF) of RM99.
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 RM270K, with most transactions falling within a stable range of RM260K to RM279K, and a typical market range of RM260K to RM279K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM99, with most transactions between RM95 and RM103. The usual range is RM87.17 to RM111.17, showing that most units are priced quite close to each other. A typical spread (IQR) of RM24.00 and an average deviation (MAD) of RM4 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.