Taman Suria Damai

Kampung Anak Ayer Kundor, 71400 Rembau, Negeri Sembilan, Malaysia

Property Transactions

8 subsales found

Median
RM292,000
PSF
RM198
Price Size
Period
transactions middle 50% (P25–P75)
RM347,000
Jalan Suria Damai
1,399 sqft RM248 PSF
RM250,000
Taman Dato Lela Maharaja
1,302 sqft RM192 PSF
RM347,000
Jalan Suria Damai
1,399 sqft RM248 PSF
RM250,000
Off Jalan Seremban-Rembau
1,302 sqft RM192 PSF
RM250,000
Taman Dato Lela Maharaja
1,302 sqft RM192 PSF
RM264,000
Taman Dato Lela Maharaja
1,302 sqft RM203 PSF
RM320,000
Taman Dato Lela Maharaja
1,302 sqft RM246 PSF
RM426,000
Taman Dato Lela Maharaja
4,263 sqft RM100 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM292,000

RM198 psf

Median transaction price

Taman Suria Damai
© OpenStreetMap · CARTO

Kampung Anak Ayer Kundor, 71400 Rembau, Negeri Sembilan, Malaysia

Maps

Taman Suria Damai in Rembau, Negeri Sembilan recorded 8 subsale transactions in 2025, with a median price of RM292K and a median price per square foot (PSF) of RM198.

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 RM292K, with most transactions falling within a stable range of RM250K to RM352K, and a typical market range of RM254K to RM330K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

Price per square foot shows a median of RM198, though individual units vary from RM152 to RM243 in the core range. The broader market spans RM179.13 to RM215.88, indicating diverse property characteristics. The spread of RM36.75 (IQR) and deviation of RM46 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.