Taman Cheras (Yulek Heights)

Jln Kaskas, Taman Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
LC Flat
RM220,000
Level 3
807 sqft · RM273 PSF
1,500 sqft
2-Sty Terrace
RM805,000
Jalan Badam 2
1,518 sqft · RM530 PSF
1,600 sqft
2-Sty Terrace
RM850,000
Jalan Durian 2
1,604 sqft · RM530 PSF
1,700 sqft
2-Sty Terrace
RM695,000
Jalan Durian 3
1,711 sqft · RM406 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM750,000

RM468 psf

Median transaction price

Taman Cheras (Yulek Heights)
© OpenStreetMap · CARTO

Jln Kaskas, Taman Cheras, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Cheras (Yulek Heights) in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM750K and a median price per square foot (PSF) of RM468.

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

Price remained flat, and PSF growth was PSF remained flat. The median price is RM750K, with most transactions falling within a stable range of RM500K to RM850K, and a typical market range of RM441K to RM850K.

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

Price per square foot shows a median of RM468, though individual units vary from RM362 to RM574 in the core range. The broader market spans RM374.50 to RM561.50, indicating diverse property characteristics. The spread of RM187.00 (IQR) and deviation of RM106 (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.