Villa Angsana

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM415,000
PSF
RM313
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Condo
RM395,000
Level 5
1,130 sqft · RM349 PSF
RM480,000
Level 9
1,130 sqft · RM425 PSF
RM350,000
Level 26
1,130 sqft · RM310 PSF
1,300 sqft
Condo
RM500,000
Level 11
1,324 sqft · RM378 PSF
RM420,000
Level 8
1,324 sqft · RM317 PSF
1,400 sqft
Condo
RM410,000
Level 2
1,421 sqft · RM289 PSF
RM420,000
Level 19
1,421 sqft · RM296 PSF
RM400,000
Level 19
1,421 sqft · RM282 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM415,000

RM313 psf

Median transaction price

Average

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Villa Angsana
© OpenStreetMap · CARTO

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Villa Angsana in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM415K and a median price per square foot (PSF) of RM313.

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 RM415K, with most transactions falling within a stable range of RM370K to RM460K, and a typical market range of RM375K to RM455K.

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

The median PSF stands at RM313, with core pricing between RM267 and RM360. Market pricing typically extends from RM283.45 to RM343.45, reflecting moderate variation in unit pricing. With an IQR of RM60.00 and MAD of RM47, 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.