Taman Rasa Sayang [ Selaru ]

94, Taman Rasa Sayang Selaru, Taman Desa Permai Selaru, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size · Terrace →

Median
RM 160,000
PSF
RM 134
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM 180,000
Jalan Rasa Sayang 4
1,195 sqft · RM 151 PSF
RM 140,000
Jalan Rasa Sayang 4
1,195 sqft · RM 117 PSF
RM 160,000
Jalan Rasa Sayang
1,195 sqft · RM 134 PSF
RM 160,000
Jalan Rasa Sayang 6
1,195 sqft · RM 134 PSF
RM 160,000
Jalan Rasa Sayang 5
1,195 sqft · RM 134 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 160,000

RM 134 psf

Median transaction price

Taman Rasa Sayang [ Selaru ]
© OpenStreetMap · CARTO

94, Taman Rasa Sayang Selaru, Taman Desa Permai Selaru, 72000 Kuala Pilah, Negeri Sembilan, Malaysia

Maps

Taman Rasa Sayang [ Selaru ] in Kuala Pilah, Negeri Sembilan recorded 5 subsale transactions in 2022, with a median price of RM 160K and a median price per square foot (PSF) of RM 134.

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 160K, with most transactions falling within a stable range of RM 147K to RM 173K, and a typical market range of RM 150K to RM 170K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 134, with most transactions between RM 123 and RM 145. The usual range is RM 123.66 to RM 144.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 20.50 and an average deviation (MAD) of RM 11 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.