Taman Kantan Permata

878, Jalan TKP 16, Taman Kantan Permai, 43000 Kajang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size · Semi-D →

Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM 480,000
Jalan Kantan Permata 1
1,119 sqft · RM 429 PSF
RM 404,000
Jalan Kantan Permata 1
1,119 sqft · RM 361 PSF
2,550 sqft
Semi-D
RM 900,000
Jalan Kantan Permata
2,551 sqft · RM 353 PSF
2,650 sqft
Semi-D
RM 1,100,000
Jalan Kantan Permata 2
2,626 sqft · RM 419 PSF
3,550 sqft
Semi-D
RM 1,050,000
Jalan Bunga Kantan 2
3,571 sqft · RM 294 PSF
26,350 sqft
Semi-D
RM 1,100,000
Jalan Kantan Permata 2
26,329 sqft · RM 42 PSF
Legend Recent Highest Price Highest PSF

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Taman Kantan Permata
© OpenStreetMap · CARTO

878, Jalan TKP 16, Taman Kantan Permai, 43000 Kajang, Selangor, Malaysia

Maps

Taman Kantan Permata in Hulu Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 975K and a median price per square foot (PSF) of RM 361.

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 975K, with most transactions falling within a stable range of RM 850K to RM 1.10 million, and a typical market range of RM 724K to RM 1.10 million.

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

The median PSF stands at RM 361, with core pricing between RM 298 and RM 423. Market pricing typically extends from RM 311.27 to RM 410.52, reflecting moderate variation in unit pricing. The spread of RM 99.25 (IQR) and deviation of RM 63 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.