| Road | Price | PSF | Size | Date | Type |
|---|
|
Lebuh Setaka
|
RM950,000
|
RM501
|
1,894 sqft
|
|
|
|
Leboh Setaka
|
RM700,000
|
RM370
|
1,894 sqft
|
|
|
|
Leboh Setaka
|
RM620,000
|
RM327
|
1,894 sqft
|
|
|
|
Leboh Setaka
|
RM650,000
|
RM343
|
1,894 sqft
|
|
|
|
Jalan Seleguri
|
RM670,000
|
RM354
|
1,894 sqft
|
|
|
|
Psn Seraya
|
RM650,000
|
RM343
|
1,894 sqft
|
|
|
Persiaran Seraya
|
RM700,000
|
RM307
|
2,282 sqft
|
|
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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 Bandar Kelang
Market Snapshot
ResidentialRM650,000
RM336 psfMedian transaction price
Taman Chi Liung, Klang, Selangor, Malaysia
MapsTaman Chi Liung in Klang, Selangor recorded 10 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM336.
This area contains both residential and commercial properties. View 35 residential properties or 5 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM532K to RM768K, and a typical market range of RM500K to RM885K.
Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM336, with core pricing between RM273 and RM399. Market pricing typically extends from RM270.96 to RM400.96, reflecting moderate variation in unit pricing. The spread of RM130.00 (IQR) and deviation of RM63 (MAD) suggest moderate price variations reflecting different property features.
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.