Connaught Avenue

56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size · Serviced Apt →

Median
RM 360,000
PSF
RM 374
Price Size
950 sqft
Serviced Apt
RM 450,000
Level 3
958 sqft · RM 470 PSF
RM 380,000
Level 18
958 sqft · RM 397 PSF
RM 315,000
Level 9
958 sqft · RM 329 PSF
RM 340,000
Level 6
969 sqft · RM 351 PSF
RM 418,000
Level 11
958 sqft · RM 436 PSF
RM 315,000
Level 7
958 sqft · RM 329 PSF
RM 430,000
Level 15
958 sqft · RM 449 PSF
1,650 sqft
Serviced Apt
RM 100,000
Level 2
1,647 sqft · RM 61 PSF
Legend Recent Highest Price Highest PSF

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Connaught Avenue
© OpenStreetMap · CARTO

Connaught Avenue, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Connaught Avenue in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 360K and a median price per square foot (PSF) of RM 374.

This area contains both residential and commercial properties. View 34 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 360K, with most transactions falling within a stable range of RM 256K to RM 450K, and a typical market range of RM 310K to RM 410K.

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

Price per square foot shows a median of RM 374, though individual units vary from RM 252 to RM 495 in the core range. The broader market spans RM 327.82 to RM 419.82, indicating diverse property characteristics. A wider spread (IQR: RM 92.00) and deviation (MAD: RM 122) indicate significant PSF variations, likely due to diverse property types or conditions.

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.