Idaman Suria

Jalan 10/21d, Taman Setapak, 53100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM230,000
PSF
RM325
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM250,000
Level 6
689 sqft · RM363 PSF
RM230,000
Level 10
689 sqft · RM334 PSF
RM230,000
Level 12
689 sqft · RM334 PSF
RM203,000
Level 12
689 sqft · RM295 PSF
800 sqft
Condo
RM220,000
Level 7
775 sqft · RM284 PSF
RM245,000
Level 11
775 sqft · RM316 PSF
Legend Recent Highest Price Highest PSF

Selling in Idaman Suria? Homes here sold for a median of RM230,000.

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Market Snapshot

Residential

RM230,000

RM325 psf

Median transaction price

Idaman Suria
© OpenStreetMap · CARTO

Jalan 10/21d, Taman Setapak, 53100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Idaman Suria in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM325.

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 RM230K, with most transactions falling within a stable range of RM214K to RM246K, and a typical market range of RM217K to RM243K.

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

For price per square foot, the median is RM325, with most transactions between RM299 and RM351. The usual range is RM300.69 to RM349.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.50 and an average deviation (MAD) of RM26 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.