Medan Idaman

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

Property Transactions

4 subsales found

Median
RM1,290,000
PSF
RM475
Price Size
Period
transactions middle 50% (P25–P75)
RM1,100,000
Jalan Jernai 9
2,325 sqft RM473 PSF
RM1,250,000
Jalan 9/21D
2,626 sqft RM476 PSF
RM1,330,000
Jalan Jernai 6
2,540 sqft RM524 PSF
RM2,150,000
Jalan 6/21D
5,296 sqft RM406 PSF
Legend Recent Highest Price Highest PSF

Selling in Medan Idaman? Homes here sold for a median of RM1,290,000.

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Market Snapshot

RM1,250,000

RM476 psf

Median transaction price

RM2,150,000

RM406 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 4 subsale transactions in 2023, with a median price of RM1.29 million and a median price per square foot (PSF) of RM475.

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 RM1.29 million, with most transactions falling within a stable range of RM1.10 million to RM1.70 million, and a typical market range of RM1.10 million to RM2.15 million.

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

For price per square foot, the median is RM475, with most transactions between RM433 and RM516. The usual range is RM0.00 to RM1,057.03, showing that most units are priced quite close to each other. With an IQR of RM1,165.00 and MAD of RM42, the PSF demonstrates reasonable consistency across the market.

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.