Sunway Puncak Melawati

68000 Ampang, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 2,325,000
PSF
RM 467
Period
transactions middle 50% (P25–P75)
4,650 sqft
Bungalow
RM 2,400,000
Jalan 3A
4,639 sqft · RM 517 PSF
RM 2,180,000
Jalan 1
4,661 sqft · RM 468 PSF
RM 2,170,000
Jalan 1
4,650 sqft · RM 467 PSF
RM 2,200,000
Jalan 3A
4,628 sqft · RM 475 PSF
5,150 sqft
Bungalow
RM 2,250,000
Jalan 3A, Sunway Puncak Melawati
5,167 sqft · RM 435 PSF
5,650 sqft
Bungalow
RM 2,590,000
Jalan 1
5,630 sqft · RM 460 PSF
6,750 sqft
Bungalow
RM 2,780,000
Jalan 1
6,727 sqft · RM 413 PSF
RM 2,780,000
Jalan 1, Sunway Puncak Melawati
6,727 sqft · RM 413 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 2,325,000

RM 464 psf

Median transaction price

Sunway Puncak Melawati
© OpenStreetMap · CARTO

Sunway Puncak Melawati, 68000 Ampang, Selangor, Malaysia

Maps

Sunway Puncak Melawati in Gombak, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 2.33 million and a median price per square foot (PSF) of RM 467.

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 2.33 million, with most transactions falling within a stable range of RM 2.18 million to RM 2.48 million, and a typical market range of RM 2.17 million to RM 2.55 million.

Most transactions involved detached, with minimal variety in property types.

For price per square foot, the median is RM 467, with most transactions between RM 447 and RM 487. The usual range is RM 446.55 to RM 486.80, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 40.25 and an average deviation (MAD) of RM 20 indicate a highly stable PSF trend across properties.

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.