Taman Indah, Sekinchan

Taman Indah, 45400 Sekinchan, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
2-Sty Terrace
RM435,000
Jalan Indah 4
969 sqft · RM449 PSF
RM400,000
Jalan Indah 8
969 sqft · RM413 PSF
1,400 sqft
2-Sty Terrace
RM708,000
Jalan Indah 14
1,399 sqft · RM506 PSF
1,700 sqft
2-Sty Terrace
RM700,000
Jalan Indah 9
1,679 sqft · RM417 PSF
RM780,000
Jalan Indah 7
1,679 sqft · RM465 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM700,000

RM449 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 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM700K and a median price per square foot (PSF) of RM449.

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 RM700K, with most transactions falling within a stable range of RM544K to RM780K, and a typical market range of RM510K to RM780K.

Within the Double Storey Terraced category, low-cost house dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM449, with most transactions between RM415 and RM483. The usual range is RM389.03 to RM509.03, showing that most units are priced quite close to each other. With an IQR of RM120.00 and MAD of RM34, 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.