Medan Idaman

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM2,000,000
PSF
RM638
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
2-Sty Terrace
RM850,000
Jalan 10/21D
1,744 sqft · RM487 PSF
2,550 sqft
2-Sty Terrace
RM2,000,000
Jalan Jernai 7
2,540 sqft · RM787 PSF
5,300 sqft
3-Sty Shop
RM3,380,000
Jalan Jernai 2
5,296 sqft · RM638 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM1,425,000

RM637 psf

Median transaction price

RM3,380,000

RM638 psf

Median transaction price

Medan Idaman
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Medan Idaman in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2025, with a median price of RM2.00 million and a median price per square foot (PSF) of RM638.

This area contains both residential and commercial properties. View 14 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.00 million, with most transactions falling within a stable range of RM966K to RM3.03 million, and a typical market range of RM1.05 million to RM2.96 million.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM638, with core pricing between RM516 and RM761. Market pricing typically extends from RM55.74 to RM1,220.74, reflecting moderate variation in unit pricing. The spread of RM1,165.00 (IQR) and deviation of RM122 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.