Taman Sri Cendekia (Taman Connaught)

No: 11 & 15, Ground Floor, Jalan Cerdas 1, Taman Seri Cendekia, 56000 Kuala Lumpur, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Flat
RM170,000
Level 2
805 sqft · RM211 PSF
RM350,000
Level 13
807 sqft · RM434 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Cendekia (Taman Connaught)? Homes here sold for a median of RM260,000.

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Market Snapshot

Residential

RM260,000

RM322 psf

Median transaction price

Taman Sri Cendekia (Taman Connaught)
© OpenStreetMap · CARTO

No: 11 & 15, Ground Floor, Jalan Cerdas 1, Taman Seri Cendekia, 56000 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Sri Cendekia (Taman Connaught) in Kuala Lumpur, Kuala Lumpur recorded 2 Flat properties subsale transactions between 2021 and 2026, with a median price of RM260K and a median price per square foot (PSF) of RM322.

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 RM260K, with most transactions falling within a stable range of RM170K to RM350K, and a typical market range of RM170K to RM350K.

Within the Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM322, though individual units vary from RM211 to RM434 in the core range. The broader market spans RM260.37 to RM384.37, indicating diverse property characteristics. A wider spread (IQR: RM124.00) and deviation (MAD: RM111) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.