Mahsuri Apartment

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

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From
RM 600K
Size
800 sqft

Property Transactions

9 subsales grouped by size · Condo →

Median
RM 350,000
PSF
RM 419
Price Size
800 sqft
Condo
RM 315,000
Level 2
820 sqft · RM 384 PSF
RM 263,000
Level 5
820 sqft · RM 321 PSF
RM 365,000
Level G
820 sqft · RM 445 PSF
RM 380,000
Level G
820 sqft · RM 463 PSF
RM 400,000
Level 2
820 sqft · RM 488 PSF
RM 340,000
Level 1
820 sqft · RM 415 PSF
RM 258,000
Level 5
820 sqft · RM 315 PSF
RM 380,000
Level 3
789 sqft · RM 482 PSF
850 sqft
Condo
RM 350,000
Level 1
835 sqft · RM 419 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 350,000

RM 419 psf

Median transaction price

Average

Rental Yield Data

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Mahsuri Apartment
© OpenStreetMap · CARTO

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

Maps

Mahsuri Apartment in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions in 2023, with a median price of RM 350K and a median price per square foot (PSF) of RM 419.

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 350K, with most transactions falling within a stable range of RM 302K to RM 398K, and a typical market range of RM 320K to RM 380K.

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

The median PSF stands at RM 419, with core pricing between RM 359 and RM 480. Market pricing typically extends from RM 376.90 to RM 461.15, reflecting moderate variation in unit pricing. With an IQR of RM 84.25 and MAD of RM 60, 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.