| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Orkid 4
|
RM300,000
|
RM273
|
1,098 sqft
|
|
|
|
Lorong Orkid Satu
|
RM350,000
|
RM319
|
1,098 sqft
|
|
|
|
Lorong Orkid 1
|
RM350,000
|
RM319
|
1,098 sqft
|
|
|
|
Jalan Orkid 7
|
RM730,000
|
RM665
|
1,098 sqft
|
|
|
|
Jalan Orkid 2
|
RM280,000
|
RM255
|
1,098 sqft
|
|
|
|
Lorong Orkid 4
|
RM400,000
|
RM364
|
1,098 sqft
|
|
|
Jalan Mawar 2
|
RM480,000
|
RM312
|
1,539 sqft
|
|
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pasir Panjang
Market Snapshot
ResidentialRM350,000
RM319 psfMedian transaction price
Taman Sekinchan Jaya, 45400 Sekinchan, Selangor, Malaysia
MapsTaman Sekinchan Jaya in Sabak Bernam, Selangor recorded 7 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM319.
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 RM350K, with most transactions falling within a stable range of RM280K to RM493K, and a typical market range of RM304K to RM396K.
Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.
Price per square foot shows a median of RM319, though individual units vary from RM189 to RM448 in the core range. The broader market spans RM287.41 to RM350.16, indicating diverse property characteristics. A wider spread (IQR: RM62.75) and deviation (MAD: RM129) 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.