Bandar Seri Botani

31300 Ipoh, Perak, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,150 sqft
2-Sty Terrace
RM597,000
Seri Beringin A/1
2,131 sqft · RM280 PSF
RM628,000
Seri Beringin A/21
2,131 sqft · RM295 PSF
2,750 sqft
2-Sty Terrace
RM590,000
Seri Meranti B/1
2,756 sqft · RM214 PSF
RM661,000
Seri Menanti B/1
2,756 sqft · RM240 PSF
RM590,000
Seri Meranti - Ph7.2B(1)
2,756 sqft · RM214 PSF
RM661,000
Seri Meranti
2,756 sqft · RM240 PSF
RM1,231,000
Seri Meranti B/1
2,756 sqft · RM447 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM628,000

RM240 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, 31300 Ipoh, Perak, Malaysia

Maps

Bandar Seri Botani in Kinta, Perak recorded 7 subsale transactions in 2021, with a median price of RM628K and a median price per square foot (PSF) of RM240.

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 RM628K, with most transactions falling within a stable range of RM590K to RM843K, and a typical market range of RM590K to RM737K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

Price per square foot shows a median of RM240, though individual units vary from RM164 to RM315 in the core range. The broader market spans RM159.88 to RM319.88, indicating diverse property characteristics. A wider spread (IQR: RM160.00) and deviation (MAD: RM75) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.