Bandar Seri Botani

Hulu Kinta, Perak, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 500,000
PSF
RM 233
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 180,000
Margosa A/7
1,076 sqft · RM 167 PSF
1,350 sqft
Terrace
RM 210,000
Jalan Margosa B/9
1,345 sqft · RM 156 PSF
1,550 sqft
2-Sty Terrace
RM 590,000
Jalan Margosa D/11
1,528 sqft · RM 386 PSF
1,700 sqft
2-Sty Terrace
RM 558,000
Seri Sutera 1/2
1,711 sqft · RM 326 PSF
RM 370,000
Margosa E/5
1,701 sqft · RM 218 PSF
1,950 sqft
2-Sty Terrace
RM 613,000
Seri Beringin A/7
1,959 sqft · RM 313 PSF
2,150 sqft
2-Sty Terrace
RM 500,000
Margosa E/24
2,142 sqft · RM 233 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 500,000

RM 233 psf

Median transaction price

RM 290,000

RM 189 psf

Median transaction price

Low

Rental Yield Data

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Bandar Seri Botani in Kinta, Perak recorded 7 subsale transactions in 2021, with a median price of RM 500K and a median price per square foot (PSF) of RM 233.

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 RM 500K, with most transactions falling within a stable range of RM 333K to RM 613K, and a typical market range of RM 297K to RM 613K.

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

Price per square foot shows a median of RM 233, though individual units vary from RM 153 to RM 314 in the core range. The broader market spans RM 162.42 to RM 304.42, indicating diverse property characteristics. A wider spread (IQR: RM 142.00) and deviation (MAD: RM 80) 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.