Taman Bkt Semenyih

Taman Bukit Semenyih, 43500 Semenyih, Selangor, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM500,000
PSF
RM375
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM500,000
Jalan Bukit Semenyih 3A
1,292 sqft · RM387 PSF
1,350 sqft
2-Sty Terrace
RM500,000
Jalan Bkt Semenyih 2
1,335 sqft · RM375 PSF
RM366,000
Jalan Bkt Semenyih 1
1,335 sqft · RM274 PSF
RM500,000
Jalan Bkt Semenyih 2
1,335 sqft · RM375 PSF
RM745,000
Jalan Bkt Semenyih 1
1,367 sqft · RM545 PSF
RM380,000
Jalan Bkt Semenyih
1,335 sqft · RM285 PSF
RM565,000
Jalan Bkt Semenyih 3
1,367 sqft · RM413 PSF
1,700 sqft
2-Sty Terrace
RM462,000
Jalan Bkt Semenyih 1
1,679 sqft · RM275 PSF
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Market Snapshot

Residential

RM500,000

RM271 psf

Median transaction price

Taman Bkt Semenyih
© OpenStreetMap · CARTO

Taman Bukit Semenyih, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Bkt Semenyih in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM500K and a median price per square foot (PSF) of RM375.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM500K, with most transactions falling within a stable range of RM449K to RM552K, and a typical market range of RM463K to RM537K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM375, with core pricing between RM329 and RM421. Market pricing typically extends from RM335.99 to RM413.24, reflecting moderate variation in unit pricing. With an IQR of RM77.25 and MAD of RM46, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.