Taman Kekwa

Taman Kekwa Seremban, 156, Jln Kekwa 6, TAMAN KEKWA, 70100 Seremban, Negeri Sembilan, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM442,000
Jalan Kekwa 7
1,647 sqft RM268 PSF
RM150,000
Lorong Kekwa 2/4
1,281 sqft RM117 PSF
RM360,000
Jalan Kekwa 1
1,658 sqft RM217 PSF
RM596,000
Jalan Kekwa 6
1,668 sqft RM357 PSF
RM617,000
Jalan Kekwa 6
1,668 sqft RM370 PSF
RM385,000
Lorong Kekwa 1
1,658 sqft RM232 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Kekwa? Homes here sold for a median of RM413,500.

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Market Snapshot

Residential

RM413,500

RM250 psf

Median transaction price

Taman Kekwa
© OpenStreetMap · CARTO

Taman Kekwa Seremban, 156, Jln Kekwa 6, TAMAN KEKWA, 70100 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Kekwa in Seremban, Negeri Sembilan recorded 6 subsale transactions in 2022, with a median price of RM414K and a median price per square foot (PSF) of RM250.

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 RM414K, with most transactions falling within a stable range of RM257K to RM570K, and a typical market range of RM366K to RM461K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM250, though individual units vary from RM164 to RM337 in the core range. The broader market spans RM210.32 to RM290.32, indicating diverse property characteristics. A wider spread (IQR: RM80.00) and deviation (MAD: RM86) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.