Taman Pusing Sakura

9, Laluan Sakura 24, Taman Pusing Sakura, 31550 Batu Gajah, Perak, Malaysia

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
4,000 sqft
Bungalow
RM339,000
Laluan Sakura 22
4,000 sqft · RM85 PSF
RM400,000
Laluan Sakura 32
4,000 sqft · RM100 PSF
RM400,000
Laluan Sakura 26
4,000 sqft · RM100 PSF
RM348,000
Laluan Sakura 24
4,000 sqft · RM87 PSF
RM348,000
Laluan Sakura 22
4,000 sqft · RM87 PSF
RM348,000
Lauan Sakura 20
4,000 sqft · RM87 PSF
5,800 sqft
Bungalow
RM460,000
Laluan Sakura 20
5,805 sqft · RM79 PSF
8,150 sqft
Bungalow
RM669,000
Laluan Sakura 10
8,136 sqft · RM82 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM374,000

RM87 psf

Median transaction price

Taman Pusing Sakura
© OpenStreetMap · CARTO

9, Laluan Sakura 24, Taman Pusing Sakura, 31550 Batu Gajah, Perak, Malaysia

Maps

Taman Pusing Sakura in Kinta, Perak recorded 8 subsale transactions in 2021, with a median price of RM374K and a median price per square foot (PSF) of RM87.

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 RM374K, with most transactions falling within a stable range of RM339K to RM478K, and a typical market range of RM345K to RM404K.

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

For price per square foot, the median is RM87, with most transactions between RM80 and RM94. The usual range is RM19.00 to RM155.00, showing that most units are priced quite close to each other. With an IQR of RM136.00 and MAD of RM7, 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.