No Transactions Found
We couldn't find any transactions matching your current filters in Taman Ambar.
Adjust Your Filters
No transactions match these filters. Widen the price, size or date range to see more.
New Launches in Selangor
View all
Posts about Taman Ambar
No posts about Taman Ambar yet. Be the first to share what’s happening here.
Nearby areas in Dengkil
Taman Putra Perdana
Serenia City
Taman Putra Prima
The Clio 2 Residences (Lot 119161)
Bandar Bukit Puchong
Conezion Commercial
Kota Warisan
Alanis Residence@Kota Warisan
Bandar Sierra Puchong
Cyberjaya(Setia Eco Glades@Cyber1)
Cyberia Smarthomes
Selangor Cyber Valley-Residency Aurora
Taman Ambar
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 Dengkil
Promote your property to visitors of this page
Taman Ambar, 43900 Dengkil, Selangor, Malaysia
MapsTaman Ambar in Sepang, Selangor recorded 0 subsale transactions between 2021 and 2026, with a median price of RM555K and a median price per square foot (PSF) of RM397.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM555K, with most transactions falling within a stable range of RM480K to RM630K, and a typical market range of RM518K to RM593K.
Most transactions involved 2 - 2 1/2 storey shop, with minimal variety in property types.
The median PSF stands at RM397, with core pricing between RM343 and RM450. Market pricing typically extends from RM369.75 to RM423.25, reflecting moderate variation in unit pricing. With an IQR of RM53.50 and MAD of RM54, the PSF demonstrates reasonable consistency across the market.
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.