Taman Desiran Malawati

45000 Kuala Selangor, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 300,000
PSF
RM 212
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Townhouse
RM 93,000
Level 1
732 sqft · RM 127 PSF
1,300 sqft
Terrace
RM 280,000
Jalan Desiran Melawati 1/4
1,302 sqft · RM 215 PSF
1,400 sqft
Terrace
RM 300,000
Jalan Desiran Malawati 1/6
1,399 sqft · RM 214 PSF
1,500 sqft
Terrace
RM 320,000
Jalan Desiran Malawati
1,507 sqft · RM 212 PSF
1,950 sqft
Terrace
RM 380,000
Jalan Desiran Malawati 3/6
1,959 sqft · RM 194 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 300,000

RM 212 psf

Median transaction price

Taman Desiran Malawati
© OpenStreetMap · CARTO

Taman Desiran Malawati, 45000 Kuala Selangor, Selangor, Malaysia

Maps

Taman Desiran Malawati in Kuala Selangor, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 300K and a median price per square foot (PSF) of RM 212.

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 RM 300K, with most transactions falling within a stable range of RM 203K to RM 380K, and a typical market range of RM 243K to RM 358K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM 212, with core pricing between RM 179 and RM 246. Market pricing typically extends from RM 184.10 to RM 240.60, reflecting moderate variation in unit pricing. The spread of RM 56.50 (IQR) and deviation of RM 34 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.