| LIST.MY · Taman Kekwa | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Kekwa 2
|
RM160,000
|
RM134
|
1,195 sqft
|
|
LC House |
| 2023 | |||||
|
Jalan Kekwa 2
|
RM185,000
|
RM155
|
1,195 sqft
|
|
LC House |
|
Jalan Kekwa 2/1
|
RM170,000
|
RM142
|
1,195 sqft
|
|
LC House |
Selling in Taman Kekwa? Homes here sold for a median of RM170,000.
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Auction Properties
1 auction properties in Taman Kekwa
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Taman Kekwa
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 Ampangan
Market Snapshot
ResidentialRM170,000
RM142 psfMedian transaction price
Taman Kekwa Seremban, 156, Jln Kekwa 6, TAMAN KEKWA, 70100 Seremban, Negeri Sembilan, Malaysia
MapsTaman Kekwa in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM142.
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 RM170K, with most transactions falling within a stable range of RM160K to RM180K, and a typical market range of RM160K to RM185K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM142, with most transactions between RM134 and RM151. The usual range is RM102.28 to RM182.28, showing that most units are priced quite close to each other. With an IQR of RM80.00 and MAD of RM9, the PSF demonstrates reasonable consistency across the market.
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.