Bandar Seri Botani

Hulu Kinta, Perak, Malaysia

Property Transactions

11 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM450,000
Fasa 1.7B
1,701 sqft · RM265 PSF
RM515,000
Jalan Seri Sutera A/2
1,711 sqft · RM301 PSF
RM700,000
Seri Sutera A/2
1,711 sqft · RM409 PSF
RM250,000
Margosa B/9
1,679 sqft · RM149 PSF
RM673,000
Seri Sutera A/2
1,711 sqft · RM393 PSF
RM468,000
Seri Sutera A/3
1,711 sqft · RM273 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM468,000

RM273 psf

Median transaction price

RM290,000

RM189 psf

Median transaction price

Low

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Bandar Seri Botani in Kinta, Perak recorded 11 subsale transactions between 2021 and 2026, sized between 1,675 and 1,724 sqft, with a median price of RM468K and a median price per square foot (PSF) of RM273.

This area contains both residential and commercial properties. View 165 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM468K, with most transactions falling within a stable range of RM328K to RM608K, and a typical market range of RM265K to RM672K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM273, though individual units vary from RM192 to RM355 in the core range. The broader market spans RM202.45 to RM344.45, indicating diverse property characteristics. A wider spread (IQR: RM142.00) and deviation (MAD: RM81) indicate significant PSF variations, likely due to diverse property types or conditions.

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.