Ambang Botanic

Bandar Botanik, 41200 Klang, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM1,440,000
PSF
RM500
Price Size
Period
transactions middle 50% (P25–P75)
RM1,400,000
Jalan Cemara 8/Ks6
2,702 sqft · RM518 PSF
RM1,220,000
Jalan Cemara 4
2,702 sqft · RM452 PSF
RM1,300,000
Jalan Cemara 2/Ks7
2,702 sqft · RM481 PSF
RM1,480,000
Jalan Cemara 4
2,702 sqft · RM548 PSF
3,500 sqft
Semi-D
RM1,900,000
Jalan Cemara 2
3,520 sqft · RM540 PSF
3,850 sqft
Semi-D
RM1,550,000
Jalan Cemara 3
3,843 sqft · RM403 PSF
Legend Recent Highest Price Highest PSF

Selling in Ambang Botanic? Homes here sold for a median of RM1,440,000.

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Market Snapshot

Residential

RM1,440,000

RM500 psf

Median transaction price

Ambang Botanic
© OpenStreetMap · CARTO

Ambang Botanic, Bandar Botanik, 41200 Klang, Selangor, Malaysia

Maps

Ambang Botanic in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM1.44 million and a median price per square foot (PSF) of RM500.

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 RM1.44 million, with most transactions falling within a stable range of RM1.22 million to RM1.66 million, and a typical market range of RM1.27 million to RM1.61 million.

Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.

The median PSF stands at RM500, with core pricing between RM449 and RM551. Market pricing typically extends from RM459.56 to RM539.81, reflecting moderate variation in unit pricing. With an IQR of RM80.25 and MAD of RM51, 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.