Taman Intan Baiduri
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM 118,000
|
RM 215
|
549 sqft
|
|
|
|
Level 3
|
RM 130,000
|
RM 237
|
549 sqft
|
|
|
|
Level G
|
RM 130,000
|
RM 237
|
549 sqft
|
|
|
|
Level G
|
RM 138,000
|
RM 251
|
549 sqft
|
|
|
|
Level 1
|
RM 133,000
|
RM 242
|
549 sqft
|
|
|
|
Level 3
|
RM 125,000
|
RM 228
|
549 sqft
|
|
|
Level 2
|
RM 178,000
|
RM 280
|
635 sqft
|
|
|
|
Level 4
|
RM 110,000
|
RM 170
|
646 sqft
|
|
|
|
Level G
|
RM 180,000
|
RM 279
|
646 sqft
|
|
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Market Snapshot
ResidentialRM 130,000
RM 237 psfMedian transaction price
Taman Intan Baiduri, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Intan Baiduri in Kuala Lumpur, Kuala Lumpur recorded 13 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 130K and a median price per square foot (PSF) of RM 237.
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 130K, with most transactions falling within a stable range of RM 110K to RM 152K, and a typical market range of RM 110K to RM 180K.
Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 237, with core pricing between RM 207 and RM 266. Market pricing typically extends from RM 123.31 to RM 350.31, reflecting moderate variation in unit pricing. With an IQR of RM 227.00 and MAD of RM 30, the PSF demonstrates reasonable consistency across the market.
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.