Taman Damai Indah (Cheras)

Taman Damai Indah, 43200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size · 2-Sty Terrace →

Median
RM 627,000
PSF
RM 571
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM 624,000
Jalan Damai Indah 6
1,076 sqft · RM 580 PSF
RM 500,000
Jalan Damai Indah 3
1,076 sqft · RM 465 PSF
RM 1,100,000
Jalan Damai Indah 3
1,119 sqft · RM 983 PSF
RM 630,000
Jalan Damai Indah 3
1,119 sqft · RM 563 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 627,000

RM 571 psf

Median transaction price

Taman Damai Indah (Cheras)
© OpenStreetMap · CARTO

Taman Damai Indah, 43200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Damai Indah (Cheras) in Hulu Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 627K and a median price per square foot (PSF) of RM 571.

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 RM 627K, with most transactions falling within a stable range of RM 500K to RM 856K, and a typical market range of RM 549K to RM 705K.

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

Price per square foot shows a median of RM 571, though individual units vary from RM 373 to RM 770 in the core range. The broader market spans RM 535.50 to RM 607.00, indicating diverse property characteristics. A wider spread (IQR: RM 71.50) and deviation (MAD: RM 198) 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.