Taman Indah, Sekinchan

Taman Indah, 45400 Sekinchan, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 360,000
PSF
RM 291
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
2-Sty Terrace
RM 435,000
Jalan Indah 4
969 sqft · RM 449 PSF
1,100 sqft
LC House
RM 360,000
Jalan Indah 16
1,100 sqft · RM 327 PSF
RM 280,000
Jalan Indah 16
1,100 sqft · RM 255 PSF
RM 320,000
Jalan Indah 13
1,098 sqft · RM 291 PSF
2,550 sqft
LC House
RM 550,000
Jalan Indah 9
2,540 sqft · RM 217 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 360,000

RM 291 psf

Median transaction price

Taman Indah, Sekinchan
© OpenStreetMap · CARTO

Taman Indah, 45400 Sekinchan, Selangor, Malaysia

Maps

Taman Indah, Sekinchan in Sabak Bernam, Selangor recorded 5 subsale transactions in 2024, with a median price of RM 360K and a median price per square foot (PSF) of RM 291.

This area contains both residential and commercial properties. View 12 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 360K, with most transactions falling within a stable range of RM 280K to RM 455K, and a typical market range of RM 280K to RM 550K.

Most transactions involved low-cost house, with moderate diversity in property types available.

Price per square foot shows a median of RM 291, though individual units vary from RM 212 to RM 371 in the core range. The broader market spans RM 231.46 to RM 351.46, indicating diverse property characteristics. A wider spread (IQR: RM 120.00) and deviation (MAD: RM 80) 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.