Taman Seri Sekinchan

45400 Sekinchan, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
900 sqft
LC House
RM450,000
Jalan Anggerik
904 sqft · RM498 PSF
RM300,000
Jalan Melur
904 sqft · RM332 PSF
1,000 sqft
LC House
RM440,000
Jalan Melor
980 sqft · RM449 PSF
1,200 sqft
2-Sty Terrace
RM320,000
Jalan Melur
1,195 sqft · RM268 PSF
1,300 sqft
Terrace
RM430,000
Jalan Orkid
1,302 sqft · RM330 PSF
RM410,000
Jalan Melati
1,302 sqft · RM315 PSF
RM380,000
Jalan Melati
1,302 sqft · RM292 PSF
RM450,000
Jalan Mawar
1,302 sqft · RM346 PSF
RM380,000
Jalan Dahlia
1,302 sqft · RM292 PSF
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Market Snapshot

Residential

RM410,000

RM332 psf

Median transaction price

Taman Seri Sekinchan
© OpenStreetMap · CARTO

Taman Seri Sekinchan, 45400 Sekinchan, Selangor, Malaysia

Maps

Taman Seri Sekinchan in Sabak Bernam, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM410K and a median price per square foot (PSF) of RM330.

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 RM410K, with most transactions falling within a stable range of RM380K to RM440K, and a typical market range of RM380K to RM440K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM330, with most transactions between RM308 and RM352. The usual range is RM310.65 to RM349.65, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.00 and an average deviation (MAD) of RM22 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.