Taman Sri Manggis, Jalan Laksamana

Perak, Hilir Perak, Durian Sebatang

Property Transactions

6 subsales grouped by size

Median
RM 365,000
PSF
RM 142
Price Size
Period
transactions middle 50% (P25–P75)
1,350 sqft
2-Sty Terrace
RM 400,000
Lorong Bentara 7
1,335 sqft · RM 300 PSF
1,500 sqft
Terrace
RM 230,000
Lorong Bentara 2
1,496 sqft · RM 154 PSF
1,650 sqft
Terrace
RM 330,000
Lorong Bentara, Taman Sri Manggis, T.i.
1,647 sqft · RM 200 PSF
3,150 sqft
Semi-D
RM 380,000
Lorong Bentara 6
3,154 sqft · RM 120 PSF
3,250 sqft
Terrace
RM 350,000
Lorong Bentara 10
3,272 sqft · RM 107 PSF
5,000 sqft
Semi-D
RM 650,000
Lorong 1A
4,994 sqft · RM 130 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 365,000

RM 142 psf

Median transaction price

Taman Sri Manggis, Jalan Laksamana in Hilir Perak, Perak recorded 6 subsale transactions in 2024, with a median price of RM 365K and a median price per square foot (PSF) of RM 142.

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 RM 365K, with most transactions falling within a stable range of RM 237K to RM 493K, and a typical market range of RM 285K to RM 445K.

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

Price per square foot shows a median of RM 142, though individual units vary from RM 76 to RM 208 in the core range. The broader market spans RM 125.18 to RM 158.68, indicating diverse property characteristics. A wider spread (IQR: RM 33.50) and deviation (MAD: RM 66) 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.