Taman Petaling Indah

41200 Klang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Terrace
RM525,000
Lebuh Seraya
1,604 sqft · RM327 PSF
RM430,000
Persiaran Seraya
1,604 sqft · RM268 PSF
RM500,000
Lebuh Seraya
1,604 sqft · RM312 PSF
RM450,000
Jalan Agar-Agar
1,604 sqft · RM281 PSF
RM480,000
Jaln Leboh Bagor
1,604 sqft · RM299 PSF
RM455,000
Lebuh Seraya
1,604 sqft · RM284 PSF
RM460,000
Jalan Agar-Agar
1,604 sqft · RM287 PSF
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Market Snapshot

Residential

RM460,000

RM287 psf

Median transaction price

Taman Petaling Indah
© OpenStreetMap · CARTO

Taman Petaling Indah, 41200 Klang, Selangor, Malaysia

Maps

Taman Petaling Indah in Klang, Selangor recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM460K and a median price per square foot (PSF) of RM287.

This area contains both residential and commercial properties. View 11 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 RM460K, with most transactions falling within a stable range of RM430K to RM490K, and a typical market range of RM430K to RM525K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM287, with most transactions between RM268 and RM305. The usual range is RM264.45 to RM309.20, showing that most units are priced quite close to each other. A typical spread (IQR) of RM44.75 and an average deviation (MAD) of RM19 indicate a highly stable PSF trend across properties.

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.