Taman Pandamaran Permai / Kota Pendamar

Jln Pendamar, Pandamaran, 42000 Klang, Selangor, Malaysia

Property Transactions

6 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM380,000
Jalan Permai 7
1,173 sqft RM324 PSF
RM380,000
Lorong Permai 4E
1,173 sqft RM324 PSF
RM370,000
Lorong Permai 4F
1,173 sqft RM315 PSF
RM380,000
Jalan Permai 7
1,173 sqft RM324 PSF
RM300,000
Lorong Permai 4H
1,173 sqft RM256 PSF
RM400,000
Jalan Permai 7
1,173 sqft RM341 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM380,000

RM324 psf

Median transaction price

Taman Pandamaran Permai / Kota Pendamar
© OpenStreetMap · CARTO

Jln Pendamar, Pandamaran, 42000 Klang, Selangor, Malaysia

Maps

Taman Pandamaran Permai / Kota Pendamar in Klang, Selangor recorded 6 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM380K and a median price per square foot (PSF) of RM324.

This area contains both residential and commercial properties. View 26 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 RM380K, with most transactions falling within a stable range of RM348K to RM400K, and a typical market range of RM300K to RM400K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM324, with most transactions between RM297 and RM351. The usual range is RM275.88 to RM371.88, showing that most units are priced quite close to each other. With an IQR of RM96.00 and MAD of RM27, 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.