Bandar Seri Botani

Hulu Kinta, Perak, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM1,861,000
PSF
RM235
Price Size
Period
transactions middle 50% (P25–P75)
6,300 sqft
Bungalow
RM1,300,000
Margosa E/3
6,308 sqft · RM206 PSF
7,900 sqft
Bungalow
RM1,861,000
Seri Teratai Fasa 6.2(2) Type A
7,911 sqft · RM235 PSF
8,100 sqft
Bungalow
RM1,904,000
Seri Teratai
8,105 sqft · RM235 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM1,861,000

RM235 psf

Median transaction price

RM290,000

RM189 psf

Median transaction price

Low

Does BANDAR SERI BOTANI rent out well?

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 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM1.86 million and a median price per square foot (PSF) of RM235.

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 RM1.86 million, with most transactions falling within a stable range of RM1.59 million to RM1.90 million, and a typical market range of RM1.66 million to RM1.90 million.

Within the Bungalow category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM235, with most transactions between RM221 and RM249. The usual range is RM163.91 to RM305.91, showing that most units are priced quite close to each other. With an IQR of RM142.00 and MAD of RM14, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.