Taman Indah, Sekinchan

Taman Indah, 45400 Sekinchan, Selangor, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM165,000
Jalan Indah 13
1,098 sqft RM150 PSF
RM400,000
Jalan Indah 8
969 sqft RM413 PSF
RM1,250,000
Jalan Indah Satu
4,994 sqft RM250 PSF
RM700,000
Jalan Indah 9
1,679 sqft RM417 PSF
RM370,000
Jalan Indah 15
1,098 sqft RM337 PSF
RM160,000
Jalan Indah 13
1,098 sqft RM146 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Indah, Sekinchan? Homes here sold for a median of RM385,000.

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Market Snapshot

Residential

RM370,000

RM337 psf

Median transaction price

Taman Indah, Sekinchan
© OpenStreetMap · CARTO

Taman Indah, 45400 Sekinchan, Selangor, Malaysia

Maps

Taman Indah, Sekinchan in Sabak Bernam, Selangor recorded 6 subsale transactions in 2023, with a median price of RM385K and a median price per square foot (PSF) of RM294.

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 RM385K, with most transactions falling within a stable range of RM160K to RM763K, and a typical market range of RM195K to RM575K.

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

Price per square foot shows a median of RM294, though individual units vary from RM182 to RM406 in the core range. The broader market spans RM233.64 to RM353.64, indicating diverse property characteristics. A wider spread (IQR: RM120.00) and deviation (MAD: RM112) 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.