Irama Wangsa

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

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales found

Median
RM715,000
PSF
RM609
Price Size
Period
transactions middle 50% (P25–P75)
RM700,000
Level 6
1,173 sqft RM597 PSF
RM826,000
Level 17
1,173 sqft RM704 PSF
RM660,000
Level 12
1,173 sqft RM563 PSF
RM815,000
Level 25
1,173 sqft RM695 PSF
RM715,000
Level 18
1,173 sqft RM609 PSF
RM700,000
Level 11
1,173 sqft RM597 PSF
RM811,000
Level 23
1,173 sqft RM691 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM715,000

RM609 psf

Median transaction price

Average

Does IRAMA WANGSA rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Irama Wangsa
© OpenStreetMap · CARTO

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

Maps

Irama Wangsa in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM715K and a median price per square foot (PSF) of RM609.

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 RM715K, with most transactions falling within a stable range of RM660K to RM778K, and a typical market range of RM660K to RM778K.

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

For price per square foot, the median is RM609, with most transactions between RM556 and RM663. The usual range is RM574.16 to RM644.66, showing that most units are priced quite close to each other. With an IQR of RM70.50 and MAD of RM54, 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.