Taman Chi Liung

Klang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 950,000
PSF
RM 300
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM 430,000
Lintang Setaka
1,760 sqft · RM 244 PSF
RM 425,000
Lorong Jerangor
1,760 sqft · RM 241 PSF
1,900 sqft
2-Sty Terrace
RM 950,000
Lebuh Setaka
1,894 sqft · RM 501 PSF
3,000 sqft
Semi-D
RM 1,500,000
Jalan Pegaga /Ks01
3,000 sqft · RM 500 PSF
3,150 sqft
2-Sty Shop
RM 950,000
Lintang Menalu
3,165 sqft · RM 300 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 690,000

RM 372 psf

Median transaction price

Taman Chi Liung
© OpenStreetMap · CARTO

Taman Chi Liung, Klang, Selangor, Malaysia

Maps

Taman Chi Liung in Klang, Selangor recorded 5 subsale transactions in 2025, with a median price of RM 950K and a median price per square foot (PSF) of RM 300.

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 RM 950K, with most transactions falling within a stable range of RM 550K to RM 1.35 million, and a typical market range of RM 715K to RM 1.19 million.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 300, though individual units vary from RM 181 to RM 419 in the core range. The broader market spans RM 235.20 to RM 365.20, indicating diverse property characteristics. A wider spread (IQR: RM 130.00) and deviation (MAD: RM 119) 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.