| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Labis 106
|
RM 420,000
|
RM 287
|
1,464 sqft
|
|
|
Jalan Labis 108(P/L 311)
|
RM 500,000
|
RM 316
|
1,582 sqft
|
|
|
Jalan Sungai Bilah 6
|
RM 495,000
|
RM 280
|
1,765 sqft
|
|
|
Jalan Kapar
|
RM 560,000
|
RM 296
|
1,894 sqft
|
|
|
|
Jalan 15B/Ku4
|
RM 500,000
|
RM 264
|
1,894 sqft
|
|
|
|
Batu 7, Jalan Kapar
|
RM 480,000
|
RM 253
|
1,894 sqft
|
|
|
Jalan Zapin 3G/Ku5
|
RM 1,200,000
|
RM 502
|
2,390 sqft
|
|
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Market Snapshot
RM 500,000
RM 287 psfMedian transaction price
RM 750,000
RM 423 psfMedian transaction price
OFF, Jalan Kapar, BATU 5 1/442100 Klang, Selangor, Malaysia
MapsOff Jalan Kapar in Klang, Selangor recorded 7 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 287.
This area contains both residential and commercial properties. View 11 residential properties or 18 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 500K, with most transactions falling within a stable range of RM 420K to RM 750K, and a typical market range of RM 420K to RM 854K.
Within the Double Storey Terraced category, 1 - 1 1/2 storey semi-detached dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 287, though individual units vary from RM 208 to RM 366 in the core range. The broader market spans RM 170.29 to RM 403.54, indicating diverse property characteristics. A wider spread (IQR: RM 233.25) and deviation (MAD: RM 79) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.