Mesra Villa

B-G-06, Restoran Pandan Mesra, Mesra Villa, Jalan Ikan Emas, Taman Pandan Mesra, 68000 Ampang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM 1,575,000
PSF
RM 561
Price Size
Period
transactions middle 50% (P25–P75)
2,800 sqft
2-Sty Shop
RM 1,550,000
Jalan Avenue 1
2,809 sqft · RM 552 PSF
RM 1,600,000
Jalan Avenue 1
2,809 sqft · RM 570 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 249,000

RM 297 psf

Median transaction price

Taman Pandan Mesra
© OpenStreetMap · CARTO

B-G-06, Restoran Pandan Mesra, Mesra Villa, Jalan Ikan Emas, Taman Pandan Mesra, 68000 Ampang, Selangor, Malaysia

Maps

Mesra Villa in Hulu Langat, Selangor recorded 2 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 1.58 million and a median price per square foot (PSF) of RM 561.

This area contains both residential and commercial properties. View 24 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.58 million, with most transactions falling within a stable range of RM 1.55 million to RM 1.60 million, and a typical market range of RM 1.55 million to RM 1.60 million.

Within the Double Storey Shop category, flats dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 561, with most transactions between RM 552 and RM 570. The usual range is RM 517.62 to RM 603.62, showing that most units are priced quite close to each other. With an IQR of RM 86.00 and MAD of RM 9, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.