Taman Pendamar Indah

42000 Pelabuhan Klang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM340,000
Jalan Pendamar Indah 5A
1,200 sqft · RM283 PSF
1,300 sqft
Terrace
RM400,000
Jalan Pendamar Indah 2
1,302 sqft · RM307 PSF
RM320,000
Jalan Pendamar Indah 8
1,300 sqft · RM246 PSF
RM460,000
Jalan Pendamar Indah 1/Ks5
1,302 sqft · RM353 PSF
1,400 sqft
Terrace
RM470,000
Jalan Pendamar Indah 1/Ks5
1,399 sqft · RM336 PSF
RM450,000
Jalan Pendamar Indah 1
1,399 sqft · RM322 PSF
2,500 sqft
Terrace
RM550,000
Slk Pendama Indah 3C
2,488 sqft · RM221 PSF
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Market Snapshot

Residential

RM450,000

RM307 psf

Median transaction price

Taman Pendamar Indah
© OpenStreetMap · CARTO

Taman Pendamar Indah, 42000 Pelabuhan Klang, Selangor, Malaysia

Maps

Taman Pendamar Indah in Klang, Selangor recorded 7 subsale transactions in 2024, with a median price of RM450K and a median price per square foot (PSF) of RM307.

This area contains both residential and commercial properties. View 45 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM450K, with most transactions falling within a stable range of RM376K to RM524K, and a typical market range of RM400K to RM500K.

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

The median PSF stands at RM307, with core pricing between RM263 and RM352. Market pricing typically extends from RM270.62 to RM343.62, reflecting moderate variation in unit pricing. With an IQR of RM73.00 and MAD of RM45, the PSF demonstrates reasonable consistency across the market.

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.