Taman Sejahtera

Jalan Sungai Buaya, Kampung Sungai Jarom, 42600 Jenjarom, Selangor, Malaysia

Property Transactions

9 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM390,000
1,195 sqft
RM326 PSF
RM470,000
2,540 sqft
RM185 PSF
RM400,000
1,324 sqft
RM302 PSF
RM1,100,000
2,648 sqft
RM415 PSF · 2-Sty Shop
RM300,000
1,324 sqft
RM227 PSF · Terrace
RM150,000
1,410 sqft
RM106 PSF
RM250,000
1,399 sqft
RM179 PSF
RM360,000
1,206 sqft
RM299 PSF
RM280,000
1,701 sqft
RM165 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM330,000

RM206 psf

Median transaction price

Low

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Taman Sejahtera
© OpenStreetMap · CARTO

Jalan Sungai Buaya, Kampung Sungai Jarom, 42600 Jenjarom, Selangor, Malaysia

Maps

Taman Sejahtera in Kuala Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM360K and a median price per square foot (PSF) of RM227.

This area contains both residential and commercial properties. View 8 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 RM360K, with most transactions falling within a stable range of RM280K to RM440K, and a typical market range of RM300K to RM420K.

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

Price per square foot shows a median of RM227, though individual units vary from RM153 to RM301 in the core range. The broader market spans RM165.09 to RM288.09, indicating diverse property characteristics. A wider spread (IQR: RM123.00) and deviation (MAD: RM74) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.