Taman Pertama, Sabak Bernam

Taman Pertama, 45200 Sabak, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM240,000
Jalan Mawar
1,302 sqft · RM184 PSF
1,650 sqft
Terrace
RM260,000
Jalan Melor
1,647 sqft · RM158 PSF
1,900 sqft
Terrace
RM280,000
Jalan Bunga Tanjung
1,884 sqft · RM149 PSF
2,200 sqft
Terrace
RM330,000
Lorong Melor 4
2,196 sqft · RM150 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Pertama, Sabak Bernam? Homes here sold for a median of RM270,000.

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Market Snapshot

Residential

RM270,000

RM154 psf

Median transaction price

Taman Pertama, Sabak Bernam
© OpenStreetMap · CARTO

Taman Pertama, 45200 Sabak, Selangor, Malaysia

Maps

Taman Pertama, Sabak Bernam in Sabak Bernam, Selangor recorded 4 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM154.

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 RM270K, with most transactions falling within a stable range of RM240K to RM303K, and a typical market range of RM240K to RM320K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM154, with most transactions between RM140 and RM168. The usual range is RM121.08 to RM187.08, showing that most units are priced quite close to each other. With an IQR of RM66.00 and MAD of RM14, the PSF demonstrates reasonable consistency across the market.

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.