Sri Kinabalu

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

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM420,000
PSF
RM363
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Condo
RM420,000
Level 1
1,087 sqft · RM386 PSF
RM365,000
Level 6
1,087 sqft · RM336 PSF
RM395,000
Level 2
1,087 sqft · RM363 PSF
1,200 sqft
Condo
RM420,000
Level 2
1,206 sqft · RM348 PSF
RM390,000
Level 2
1,206 sqft · RM324 PSF
1,450 sqft
Condo
RM630,000
Level 3
1,442 sqft · RM437 PSF
RM530,000
Level 4
1,442 sqft · RM367 PSF
Legend Recent Highest Price Highest PSF

Selling in Sri Kinabalu? Homes here sold for a median of RM420,000.

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Market Snapshot

Residential

RM420,000

RM363 psf

Median transaction price

Sri Kinabalu
© OpenStreetMap · CARTO

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

Maps

Sri Kinabalu in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions in 2022, with a median price of RM420K and a median price per square foot (PSF) of RM363.

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 RM420K, with most transactions falling within a stable range of RM365K to RM508K, and a typical market range of RM390K to RM450K.

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

For price per square foot, the median is RM363, with most transactions between RM329 and RM398. The usual range is RM347.72 to RM378.97, showing that most units are priced quite close to each other. A typical spread (IQR) of RM31.25 and an average deviation (MAD) of RM35 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.