| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Malinja 2
|
RM280,000
|
RM164
|
1,710 sqft
|
|
|
|
Jalan Malinja 4, Taman Malinja
|
RM305,000
|
RM177
|
1,719 sqft
|
|
New Launches in Selangor
View all
Posts about Taman Seri Indah, Bestari Jaya
No posts about Taman Seri Indah, Bestari Jaya yet. Be the first to share what’s happening here.
Nearby areas in Tanjong Karang
Taman Seri Indah, Bestari Jaya
Taman Ulu Tiram Jaya (P/L 19931)
Pekan Tanjung Karang
Taman Gading Jaya (P/L 994)
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tanjong Karang
Promote your property to visitors of this page
Market Snapshot
ResidentialRM292,500
RM171 psfMedian transaction price
Taman Seri Indah, Bestari Jaya, Kuala Selangor, Selangor
Taman Seri Indah, Bestari Jaya in Kuala Selangor, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM293K and a median price per square foot (PSF) of RM177.
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 RM293K, with most transactions falling within a stable range of RM280K to RM305K, and a typical market range of RM286K to RM299K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM177, with most transactions between RM171 and RM184. The usual range is RM173.75 to RM180.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM6.50 and an average deviation (MAD) of RM7 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.