| LIST.MY · Rpa Pdg Serai (Sri Melati) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Taman Seri Melati
|
RM180,000
|
RM180
|
1,001 sqft
|
|
LC House |
| 2023 | |||||
|
Taman Seri Melati
|
RM70,000
|
RM68
|
1,023 sqft
|
|
LC House |
| 2022 | |||||
|
Taman Seri Melati
|
RM70,000
|
RM68
|
1,023 sqft
|
|
LC House |
|
Taman Seri Melati
|
RM60,000
|
RM59
|
1,023 sqft
|
|
LC House |
Selling in Rpa Pdg Serai (Sri Melati)? Homes here sold for a median of RM70,000.
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Taman Melati
Rpa Pdg Serai (Sri Melati)
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 Padang Serai
Market Snapshot
ResidentialRM70,000
RM68 psfMedian transaction price
Rpa Pdg Serai (Sri Melati) in Kulim, Kedah recorded 4 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM70K and a median price per square foot (PSF) of RM68.
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 RM70K, with most transactions falling within a stable range of RM60K to RM119K, and a typical market range of RM60K to RM132K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM68, though individual units vary from RM19 to RM118 in the core range. The broader market spans RM30.83 to RM106.08, indicating diverse property characteristics. A wider spread (IQR: RM75.25) and deviation (MAD: RM50) indicate significant PSF variations, likely due to diverse property types or conditions.
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.