Taman Selasih

Perak, Bagan Datuk, Hutan Melintang

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,500 sqft
Terrace
RM240,000
Lorong Selasih 6
1,496 sqft · RM160 PSF
1,650 sqft
2-Sty Terrace
RM300,000
Lorong Selasih
1,625 sqft · RM185 PSF
2,800 sqft
Semi-D
RM450,000
Lorong Selasih 7
2,799 sqft · RM161 PSF
3,200 sqft
Semi-D
RM490,000
Lorong Kayangan 9
3,197 sqft · RM153 PSF
3,500 sqft
Semi-D
RM500,000
Lorong Kayangan 3
3,498 sqft · RM143 PSF
9,350 sqft
Bungalow
RM880,000
Lorong Selasih 6
9,354 sqft · RM94 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM160 psf

Median transaction price

High

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

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Taman Selasih
© OpenStreetMap · CARTO

Taman Selasih, Bagan Datuk, Perak

Taman Selasih in Bagan Datuk, Perak recorded 6 subsale transactions between 2021 and 2026, with a median price of RM470K and a median price per square foot (PSF) of RM160.

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 RM470K, with most transactions falling within a stable range of RM370K to RM570K, and a typical market range of RM390K to RM550K.

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

For price per square foot, the median is RM160, with most transactions between RM151 and RM169. The usual range is RM152.79 to RM168.04, showing that most units are priced quite close to each other. A typical spread (IQR) of RM15.25 and an average deviation (MAD) of RM9 indicate a highly stable PSF trend across properties.

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.