Taman Bukit Cheras

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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RM600K
Size
800 sqft

Property Transactions

13 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM143,000
Level 3
517 sqft · RM277 PSF
RM135,000
Level 8
517 sqft · RM261 PSF
RM180,000
Level 2
517 sqft · RM348 PSF
RM155,000
Level 4
517 sqft · RM300 PSF
RM133,000
Level 5
517 sqft · RM257 PSF
RM145,000
Level 9
517 sqft · RM281 PSF
+7 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM150,000

RM290 psf

Median transaction price

RM200,000

RM254 psf

Median transaction price

Taman Bukit Cheras
© OpenStreetMap · CARTO

Taman Bukit Cheras, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Bukit Cheras in Kuala Lumpur, Kuala Lumpur recorded 13 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM150K and a median price per square foot (PSF) of RM290.

This area contains both residential and commercial properties. View 64 residential properties or 17 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM150K, with most transactions falling within a stable range of RM136K to RM164K, and a typical market range of RM133K to RM180K.

Within the Low-Cost Flat category, flats dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM290, with most transactions between RM264 and RM317. The usual range is RM251.82 to RM328.82, showing that most units are priced quite close to each other. With an IQR of RM77.00 and MAD of RM27, the PSF demonstrates reasonable consistency across the market.

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.