| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Kekwa 1
|
RM 250,000
|
RM 252
|
990 sqft
|
|
|
|
Jalan Kekwa 4
|
RM 320,000
|
RM 323
|
990 sqft
|
|
|
|
Jalan Kekwa 1
|
RM 280,000
|
RM 283
|
990 sqft
|
|
|
|
Jalan Kekwa 4
|
RM 315,000
|
RM 318
|
990 sqft
|
|
|
|
Jalan Kekwa 2
|
RM 315,000
|
RM 318
|
990 sqft
|
|
|
|
Jalan Kekwa 14
|
RM 265,000
|
RM 268
|
990 sqft
|
|
|
Jalan Kekwa 11
|
RM 390,000
|
RM 374
|
1,044 sqft
|
|
|
|
Jalan Kekwa 11
|
RM 300,000
|
RM 287
|
1,044 sqft
|
|
|
|
Jalan Kekwa 9
|
RM 350,000
|
RM 335
|
1,044 sqft
|
|
|
|
Jalan Kekwa 6
|
RM 330,000
|
RM 316
|
1,044 sqft
|
|
|
Jalan Kekwa 2
|
RM 265,000
|
RM 244
|
1,087 sqft
|
|
|
|
Jalan Kekwa 16
|
RM 265,000
|
RM 244
|
1,087 sqft
|
|
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Market Snapshot
ResidentialRM 300,000
RM 287 psfMedian transaction price
48200 Serendah, Selangor, Malaysia
MapsTaman Serendah Makmur in Hulu Selangor, Selangor recorded 19 subsale transactions in 2023, with a median price of RM 300K and a median price per square foot (PSF) of RM 287.
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 236K to RM 364K, and a typical market range of RM 270K to RM 330K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 287, though individual units vary from RM 229 to RM 345 in the core range. The broader market spans RM 254.33 to RM 320.33, indicating diverse property characteristics. The spread of RM 66.00 (IQR) and deviation of RM 58 (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.