Megan Avenue 1

D-3A-4, Megan Avenue 1, 189, Jln Tun Razak, Hampshire Park, 50400 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales found

Median
RM1,080,000
PSF
RM676
Price Size
Period
transactions middle 50% (P25–P75)
RM1,150,000
Level G
1,593 sqft RM722 PSF
RM1,060,000
Level 1
1,615 sqft RM657 PSF
RM1,100,000
Level G
1,582 sqft RM695 PSF
RM1,050,000
Level 1
1,604 sqft RM655 PSF
Legend Recent Highest Price Highest PSF

Selling in Megan Avenue 1? Homes here sold for a median of RM1,080,000.

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Market Snapshot

Residential

RM1,080,000

RM676 psf

Median transaction price

Verona Town Villas
© OpenStreetMap · CARTO

D-3A-4, Megan Avenue 1, 189, Jln Tun Razak, Hampshire Park, 50400 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Megan Avenue 1 in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, sized between 1,575 and 1,624 sqft, with a median price of RM1.08 million and a median price per square foot (PSF) of RM676.

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 RM1.08 million, with most transactions falling within a stable range of RM1.05 million to RM1.12 million, and a typical market range of RM1.05 million to RM1.14 million.

Most transactions involved town house, with minimal variety in property types.

For price per square foot, the median is RM676, with most transactions between RM648 and RM704. The usual range is RM638.85 to RM712.85, showing that most units are priced quite close to each other. With an IQR of RM74.00 and MAD of RM28, 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.