| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bistari 1
|
RM 90,000
|
RM 75
|
1,195 sqft
|
|
|
Taman Lintang Mas
|
RM 140,000
|
RM 52
|
2,702 sqft
|
|
Kopitiam is the corner kopi shop where neighbours lepak, sembang, and catch up..
On List.my, every location also got one. The kaki you see lepak-ing around are real people checking out this same area right now.
Pull up a stool, be nice and chat anything about this location or more!
Every kopitiam is for one state only. You see everyone browsing that same state, live, and they see you too.
Whatever you say, everyone in this state's kopitiam sees it straight away.
You stay anonymous, no name or sign-in needed. Logged in? You can choose to show your name.
Promote your property to visitors of this page
Taman Mas, Sungaisiput in Kuala Kangsar, Perak recorded 2 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 115K and a median price per square foot (PSF) of RM 64.
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 115K, with most transactions falling within a stable range of RM 90K to RM 140K, and a typical market range of RM 90K to RM 140K.
Within the Low-Cost House category, low-cost house dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 64, with core pricing between RM 52 and RM 75. Market pricing typically extends from RM 0.00 to RM 155.57, reflecting moderate variation in unit pricing. The spread of RM 184.00 (IQR) and deviation of RM 12 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.