Taman Kantan Permata
878, Jalan TKP 16, Taman Kantan Permai, 43000 Kajang, Selangor, Malaysia
878, Jalan TKP 16, Taman Kantan Permai, 43000 Kajang, Selangor, Malaysia
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2024 | |||||
|
Jalan Kantan Permata 1
|
RM 480,000
|
RM 429
|
1,119 sqft
|
|
2-Sty Terrace |
| 2023 | |||||
|
Jalan Kantan Permata
|
RM 900,000
|
RM 353
|
2,551 sqft
|
|
Semi-D |
| 2022 | |||||
|
Jalan Kantan Permata 2
|
RM 1,100,000
|
RM 42
|
26,329 sqft
|
|
Semi-D |
|
Jalan Kantan Permata 2
|
RM 1,100,000
|
RM 419
|
2,626 sqft
|
|
Semi-D |
|
Jalan Bunga Kantan 2
|
RM 1,050,000
|
RM 294
|
3,571 sqft
|
|
Semi-D |
|
Jalan Kantan Permata 1
|
RM 404,000
|
RM 361
|
1,119 sqft
|
|
2-Sty Terrace |
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878, Jalan TKP 16, Taman Kantan Permai, 43000 Kajang, Selangor, Malaysia
MapsTaman 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.