Taman Bukit Cheras

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Median
RM 738,000
PSF
RM 279
Price Size
Period
transactions middle 50% (P25–P75)
1,950 sqft
Townhouse
RM 738,000
Level 1
1,927 sqft · RM 383 PSF
3,050 sqft
Townhouse
RM 648,000
Level B
3,046 sqft · RM 213 PSF
RM 850,000
Level B
3,046 sqft · RM 279 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 738,000

RM 279 psf

Median transaction price

RM 200,000

RM 254 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 3 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 738K and a median price per square foot (PSF) of RM 279.

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 RM 738K, with most transactions falling within a stable range of RM 655K to RM 821K, and a typical market range of RM 648K to RM 850K.

Within the Town House category, flats dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 279, though individual units vary from RM 209 to RM 349 in the core range. The broader market spans RM 240.54 to RM 317.54, indicating diverse property characteristics. A wider spread (IQR: RM 77.00) and deviation (MAD: RM 70) 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.