| LIST.MY · Taman Sekinchan Jaya | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Melati
|
RM798,000
|
RM613
|
1,302 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Melati
|
RM170,000
|
RM131
|
1,302 sqft
|
|
Terrace |
|
Jalan Melati
|
RM285,000
|
RM219
|
1,302 sqft
|
|
Terrace |
|
Jalan Melati
|
RM350,000
|
RM269
|
1,302 sqft
|
|
Terrace |
Selling in Taman Sekinchan Jaya? Homes here sold for a median of RM317,500.
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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
ResidentialRM317,500
RM244 psfMedian transaction price
Taman Sekinchan Jaya, 45400 Sekinchan, Selangor, Malaysia
MapsTaman Sekinchan Jaya in Sabak Bernam, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM318K and a median price per square foot (PSF) of RM244.
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 RM318K, with most transactions falling within a stable range of RM170K to RM556K, and a typical market range of RM272K to RM364K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
Price per square foot shows a median of RM244, though individual units vary from RM61 to RM427 in the core range. The broader market spans RM212.41 to RM275.16, indicating diverse property characteristics. A wider spread (IQR: RM62.75) and deviation (MAD: RM183) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.