Taman Sejahtera, Klang

Jln Kampung Delek Baru, Kawasan 7, 41100 Klang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,000 sqft
Cluster
RM820,000
Lorong Temenggung 39
2,002 sqft · RM410 PSF
RM678,000
Temenggung 39/Ks7
2,002 sqft · RM339 PSF
RM650,000
Lorong Temenggung 39A/Ks7
2,002 sqft · RM325 PSF
RM650,000
Lorong Temenggung 39/Ks7
2,002 sqft · RM325 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sejahtera, Klang? Homes here sold for a median of RM664,000.

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Market Snapshot

Residential

RM664,000

RM332 psf

Median transaction price

Taman Sejahtera, Klang
© OpenStreetMap · CARTO

Jln Kampung Delek Baru, Kawasan 7, 41100 Klang, Selangor, Malaysia

Maps

Taman Sejahtera, Klang in Klang, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 1,975 and 2,024 sqft, with a median price of RM664K and a median price per square foot (PSF) of RM332.

This area contains both residential and commercial properties. View 32 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM664K, with most transactions falling within a stable range of RM650K to RM735K, and a typical market range of RM650K to RM789K.

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

The median PSF stands at RM332, with core pricing between RM296 and RM367. Market pricing typically extends from RM268.15 to RM395.15, reflecting moderate variation in unit pricing. With an IQR of RM127.00 and MAD of RM35, 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.