Taman Chi Liung

Klang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,000 sqft
Semi-D
RM1,500,000
Jalan Pegaga
3,000 sqft · RM500 PSF
4,000 sqft
Semi-D
RM880,000
Leboh Jeranggor
4,001 sqft · RM220 PSF
RM900,000
Jalan Pegaga
4,000 sqft · RM225 PSF
RM855,000
Leboh Jeranggor
4,000 sqft · RM214 PSF
4,950 sqft
Semi-D
RM950,000
Jalan Pegaga
4,926 sqft · RM193 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM900,000

RM220 psf

Median transaction price

Taman Chi Liung
© OpenStreetMap · CARTO

Taman Chi Liung, Klang, Selangor, Malaysia

Maps

Taman Chi Liung in Klang, Selangor recorded 5 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM900K and a median price per square foot (PSF) of RM220.

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 RM900K, with most transactions falling within a stable range of RM855K to RM1.14 million, and a typical market range of RM855K to RM1.14 million.

Within the Single Storey Semi-D category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM220, though individual units vary from RM105 to RM335 in the core range. The broader market spans RM154.95 to RM284.95, indicating diverse property characteristics. A wider spread (IQR: RM130.00) and deviation (MAD: RM115) 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.