Residensi Idaman Abadi

1, Persiaran Tropicana Heights, Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 289,000
PSF
RM 283
Price Size
1,000 sqft
Condo
RM 289,000
Level 10
1,023 sqft · RM 283 PSF
RM 300,000
Level 9
1,023 sqft · RM 293 PSF
RM 289,000
Level 21
1,023 sqft · RM 283 PSF
RM 289,000
Level 20
1,023 sqft · RM 283 PSF
RM 289,000
Level 14
1,023 sqft · RM 283 PSF
RM 289,000
Level 16
1,023 sqft · RM 283 PSF
RM 300,000
Level 26
1,023 sqft · RM 293 PSF
7
transactions

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Market Snapshot

Residential

RM 289,000

RM 283 psf

Median transaction price

Average

Rental Yield Data

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Residensi Idaman Abadi
© OpenStreetMap · CARTO

1, Persiaran Tropicana Heights, Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Residensi Idaman Abadi in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 289K and a median price per square foot (PSF) of RM 283.

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 289K, with most transactions falling within a stable range of RM 289K to RM 294K, and a typical market range of RM 289K to RM 300K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 283, with most transactions between RM 278 and RM 287. The usual range is RM 263.12 to RM 302.12, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 39.00 and an average deviation (MAD) of RM 5 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.