Fairlane Residences

Jalan Walter Granier, Bukit Bintang, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM980,500
PSF
RM922
Period
transactions middle 50% (P25–P75)
RM500,000
Level 16
646 sqft RM774 PSF
RM1,002,000
Level 21
1,087 sqft RM922 PSF
RM1,146,000
Level 21
1,206 sqft RM950 PSF
RM630,000
Level 12
624 sqft RM1,010 PSF
RM961,000
Level 21
1,130 sqft RM850 PSF
RM1,650,000
Level 21
1,841 sqft RM896 PSF
RM1,000,000
Level 20
1,173 sqft RM853 PSF
RM700,000
Level 19
689 sqft RM1,016 PSF
Legend Recent Highest Price Highest PSF

Selling in Fairlane Residences? Homes here sold for a median of RM980,500.

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Fairlane Residences
© OpenStreetMap · CARTO

Jalan Walter Granier, Bukit Bintang, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Fairlane Residences in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM981K and a median price per square foot (PSF) of RM922.

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 RM981K, with most transactions falling within a stable range of RM758K to RM1.20 million, and a typical market range of RM803K to RM1.16 million.

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

For price per square foot, the median is RM922, with most transactions between RM864 and RM979. The usual range is RM865.48 to RM978.23, showing that most units are priced quite close to each other. With an IQR of RM112.75 and MAD of RM58, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.