Taman Cheras (Formerly Yulek Heights)

1, Jalan Kaskas 2, Taman Cheras, 56100 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Shop
RM375,000
Level G
657 sqft · RM571 PSF
RM672,000
Level G
657 sqft · RM1,023 PSF
RM340,000
Level G
657 sqft · RM518 PSF
1,400 sqft
2-Sty Shop
RM1,200,000
Jalan 1/95
1,378 sqft · RM871 PSF
1,950 sqft
2-Sty Shop
RM1,630,000
Jalan 1/95
1,927 sqft · RM846 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM672,000

RM846 psf

Median transaction price

Taman Cheras (Formerly Yulek Heights)
© OpenStreetMap · CARTO

1, Jalan Kaskas 2, Taman Cheras, 56100 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Cheras (Formerly Yulek Heights) in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2022, with a median price of RM672K and a median price per square foot (PSF) of RM846.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM672K, with most transactions falling within a stable range of RM340K to RM1.17 million, and a typical market range of RM340K to RM1.30 million.

Most transactions involved 2 - 2 1/2 storey shop, though some variety exists in the market.

Price per square foot shows a median of RM846, though individual units vary from RM655 to RM1,037 in the core range. The broader market spans RM542.49 to RM1,149.49, indicating diverse property characteristics. The spread of RM607.00 (IQR) and deviation of RM191 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.