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
Market Snapshot
RM 250,000
RM 192 psfMedian transaction price
RM 1,000,000
RM 183 psfMedian transaction price
Taman Sentosa, 43000 Kajang, Selangor, Malaysia
MapsTaman Sentosa in Hulu Langat, Selangor recorded 2 subsale transactions in 2023, with a median price of RM 625K and a median price per square foot (PSF) of RM 188.
This area contains both residential and commercial properties. View 9 residential properties or 13 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 625K, with most transactions falling within a stable range of RM 250K to RM 1.00 million, and a typical market range of RM 338K to RM 912K.
Most transactions involved terraced factory/warehouse, with high diversity across multiple property types.
For price per square foot, the median is RM 188, with most transactions between RM 183 and RM 192. The usual range is RM 131.47 to RM 243.72, showing that most units are priced quite close to each other. With an IQR of RM 112.25 and MAD of RM 4, 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.