Serenia Amalia @ Selangorku

Bandar Serenia, 43800 Dengkil, Selangor, Malaysia

Property Transactions

18 subsales grouped by size

Median
RM250,000
PSF
RM207
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM250,000
Jalan Aman Serenia 3/6
1,206 sqft · RM207 PSF
RM250,000
Jalan Aman Serenia 3/3
1,206 sqft · RM207 PSF
RM250,000
Jalan Aman Serenia 3/2
1,206 sqft · RM207 PSF
RM250,000
Jalan Aman Serenia 3/7
1,206 sqft · RM207 PSF
RM250,000
Jalan Aman Serenia 3/3
1,201 sqft · RM208 PSF
RM250,000
Jalan Aman Serenia 3/7
1,206 sqft · RM207 PSF
+9 more
1,500 sqft
Terrace
RM274,000
Jalan Aman Serenia 3/2
1,507 sqft · RM182 PSF
RM274,000
Jalan Aman Serenia 3/6
1,507 sqft · RM182 PSF
2,550 sqft
Terrace
RM300,000
Jalan Aman Serenia 3/8
2,535 sqft · RM118 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM250,000

RM207 psf

Median transaction price

Serenia Amalia @ Selangorku
© OpenStreetMap · CARTO

Bandar Serenia, 43800 Dengkil, Selangor, Malaysia

Maps

Serenia Amalia @ Selangorku in Sepang, Selangor recorded 18 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM207.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM207, with most transactions between RM207 and RM207. The usual range is RM207.00 to RM207.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM0.75 and an average deviation (MAD) of RM0 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.