Gurney Height

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

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM450,000
PSF
RM371
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM390,000
Level 7
883 sqft · RM442 PSF
RM450,000
Level 12
893 sqft · RM504 PSF
950 sqft
Condo
RM350,000
Level 16
936 sqft · RM374 PSF
RM255,000
Level 22
936 sqft · RM272 PSF
1,100 sqft
Condo
RM450,000
Level 8
1,087 sqft · RM414 PSF
1,400 sqft
Condo
RM500,000
Level 18
1,389 sqft · RM360 PSF
RM498,000
Level 7
1,389 sqft · RM359 PSF
RM515,000
Level G
1,389 sqft · RM371 PSF
RM490,000
Level 10
1,389 sqft · RM353 PSF
Legend Recent Highest Price Highest PSF

Selling in Gurney Height? Homes here sold for a median of RM450,000.

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Market Snapshot

Residential

RM450,000

RM371 psf

Median transaction price

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

Maps

Gurney Height in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions in 2024, with a median price of RM450K and a median price per square foot (PSF) of RM371.

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 RM450K, with most transactions falling within a stable range of RM369K to RM515K, and a typical market range of RM384K to RM515K.

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

The median PSF stands at RM371, with core pricing between RM310 and RM432. Market pricing typically extends from RM340.39 to RM401.39, reflecting moderate variation in unit pricing. The spread of RM61.00 (IQR) and deviation of RM61 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.