Taman Jasmin

43000 Kajang, Selangor, Malaysia

Property Transactions

9 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Jalan Jasmin 29
904 sqft RM332 PSF
RM260,000
Jalan Jasmin 25
904 sqft RM288 PSF
RM448,000
Jalan Jasmin 24
904 sqft RM495 PSF
RM290,000
Jalan Jasmin 27
904 sqft RM321 PSF
RM290,000
Jalan Jasmin 27
904 sqft RM321 PSF
RM350,000
Jalan Jasmin 28
904 sqft RM387 PSF
RM320,000
Jalan Jasmin 26
904 sqft RM354 PSF
RM270,000
Jalan Jasmin 24
904 sqft RM299 PSF
RM350,000
Jalan Jasmin 27
904 sqft RM387 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM332 psf

Median transaction price

Taman Jasmin
© OpenStreetMap · CARTO

Taman Jasmin, 43000 Kajang, Selangor, Malaysia

Maps

Taman Jasmin in Hulu Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, sized between 875 and 924 sqft, with a median price of RM300K and a median price per square foot (PSF) of RM332.

This area contains both residential and commercial properties. View 50 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 RM300K, with most transactions falling within a stable range of RM260K to RM354K, and a typical market range of RM260K to RM390K.

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 RM272 and RM392. Market pricing typically extends from RM288.05 to RM375.55, reflecting moderate variation in unit pricing. The spread of RM87.50 (IQR) and deviation of RM60 (MAD) suggest moderate price variations reflecting different property features.

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.