Taman Kilauan
Batang Berjuntai, Selangor, Malaysia
Batang Berjuntai, Selangor, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM 300,000
|
RM 364
|
825 sqft
|
|
|
|
RM 110,000
|
RM 60
|
1,820 sqft
|
|
|
|
RM 120,000
|
RM 145
|
825 sqft
|
|
|
|
RM 90,000
|
RM 109
|
825 sqft
|
|
|
RM 150,000
|
RM 182
|
825 sqft
|
|
LC House |
|
RM 180,000
|
RM 99
|
1,813 sqft
|
|
Terrace |
|
RM 110,000
|
RM 133
|
825 sqft
|
|
LC House |
|
RM 120,000
|
RM 145
|
825 sqft
|
|
|
|
RM 80,000
|
RM 97
|
825 sqft
|
|
|
RM 258,000
|
RM 113
|
2,288 sqft
|
|
|
|
RM 140,000
|
RM 117
|
1,200 sqft
|
|
Posts about Taman Kilauan
No posts about Taman Kilauan yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 145,000
RM 127 psfMedian transaction price
Taman Kilauan, Batang Berjuntai, Selangor, Malaysia
MapsTaman Kilauan in Kuala Selangor, Selangor recorded 14 subsale transactions between 2021 and 2026, with a median price of RM 145K and a median price per square foot (PSF) of RM 133.
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 145K, with most transactions falling within a stable range of RM 100K to RM 190K, and a typical market range of RM 80K to RM 210K.
Most transactions involved low-cost house, though some variety exists in the market.
The median PSF stands at RM 133, with core pricing between RM 115 and RM 152. Market pricing typically extends from RM 115.84 to RM 150.84, reflecting moderate variation in unit pricing. With an IQR of RM 35.00 and MAD of RM 19, 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.