Rimbunan Melati

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

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From
RM600K
Size
800 sqft

Property Transactions

12 subsales found

Median
RM210,500
PSF
RM332
Period
transactions middle 50% (P25–P75)
RM250,000
Level 11
657 sqft RM381 PSF
RM220,000
Level 4
657 sqft RM335 PSF
RM203,000
Level 15
657 sqft RM309 PSF
RM200,000
Level 3
657 sqft RM305 PSF
RM180,000
Level 7
657 sqft RM274 PSF
RM218,000
Level 12
657 sqft RM332 PSF
RM230,000
Level 14
657 sqft RM350 PSF
RM228,000
Level 18
657 sqft RM347 PSF
RM185,000
Level 11
657 sqft RM282 PSF
RM200,000
Level 13
657 sqft RM305 PSF
RM250,000
Level 11
657 sqft RM381 PSF
RM200,000
Level 14
657 sqft RM305 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM210,500

RM321 psf

Median transaction price

Rimbunan Melati
© OpenStreetMap · CARTO

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

Maps

Rimbunan Melati in Kuala Lumpur, Kuala Lumpur recorded 12 subsale transactions between 2021 and 2026, with a median price of RM211K and a median price per square foot (PSF) of RM332.

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 RM211K, with most transactions falling within a stable range of RM197K to RM225K, and a typical market range of RM196K to RM225K.

Most transactions involved low-cost flat, with minimal variety in property types.

For price per square foot, the median is RM332, with most transactions between RM311 and RM353. The usual range is RM310.64 to RM353.39, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.75 and an average deviation (MAD) of RM21 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.