| LIST.MY · Taman Rasa Sayang 1 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Rasa Sayang 1/2
|
RM596,000
|
RM194
|
3,068 sqft
|
|
Semi-D |
| 2024 | |||||
|
Jalan Rasa Sayang 1/2
|
RM550,000
|
RM181
|
3,046 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Rasa Sayang 1/2
|
RM577,000
|
RM190
|
3,035 sqft
|
|
Semi-D |
| 2021 | |||||
|
Jalan Rasa Sayang 1/2
|
RM575,000
|
RM189
|
3,046 sqft
|
|
Semi-D |
Selling in Taman Rasa Sayang 1? Homes here sold for a median of RM576,000.
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Taman Rasa Sayang 1
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 Sitiawan
Market Snapshot
ResidentialRM576,000
RM189 psfMedian transaction price
Taman Rasa Sayang 1, Manjung, Perak
Taman Rasa Sayang 1 in Manjung, Perak recorded 4 subsale transactions between 2021 and 2026, sized between 3,025 and 3,074 sqft, with a median price of RM576K and a median price per square foot (PSF) of RM189.
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 RM576K, with most transactions falling within a stable range of RM560K to RM592K, and a typical market range of RM550K to RM596K.
Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM189, with most transactions between RM184 and RM194. The usual range is RM170.30 to RM208.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.25 and an average deviation (MAD) of RM5 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.