Taman Semenyih Idaman

43500 Semenyih, Selangor, Malaysia

Property Transactions

17 subsales grouped by size

Median
RM 830,000
PSF
RM 478
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM 830,000
Jalan Idaman 8
1,432 sqft · RM 580 PSF
RM 810,000
Jalan Idaman 8
1,432 sqft · RM 566 PSF
1,750 sqft
2-Sty Terrace
RM 785,000
Jalan Idaman 2
1,744 sqft · RM 450 PSF
RM 988,000
Jalan Idaman 5
1,744 sqft · RM 567 PSF
RM 700,000
Jalan Idaman 8
1,744 sqft · RM 401 PSF
RM 860,000
Jalan Idaman 5
1,744 sqft · RM 493 PSF
RM 680,000
Jalan Idaman 8
1,744 sqft · RM 390 PSF
RM 833,000
Jalan Idaman 8
1,744 sqft · RM 478 PSF
+8 more
4,350 sqft
2-Sty Terrace
RM 1,380,000
Jalan Idaman 5
4,370 sqft · RM 316 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 830,000

RM 572 psf

Median transaction price

Taman Semenyih Idaman in Hulu Langat, Selangor recorded 17 subsale transactions between 2021 and 2026, with a median price of RM 830K and a median price per square foot (PSF) of RM 478.

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 RM 830K, with most transactions falling within a stable range of RM 800K to RM 860K, and a typical market range of RM 805K to RM 855K.

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

For price per square foot, the median is RM 478, with most transactions between RM 462 and RM 494. The usual range is RM 464.71 to RM 490.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 26.00 and an average deviation (MAD) of RM 16 indicate a highly stable PSF trend across properties.

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.