Condo De Rozelle

Seksyen 10, Jalan Merbah 10/1, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM385,000
PSF
RM385
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM385,000
Level 5
1,001 sqft · RM385 PSF
RM375,000
Level 2
1,001 sqft · RM375 PSF
RM380,000
Level 5
1,001 sqft · RM380 PSF
RM415,000
Level 5
1,001 sqft · RM415 PSF
1,050 sqft
Condo
RM410,000
Level 7
1,033 sqft · RM397 PSF
RM400,000
Level 4
1,033 sqft · RM387 PSF
RM378,000
Level 9
1,033 sqft · RM366 PSF
Legend Recent Highest Price Highest PSF

Selling in Condo De Rozelle? Homes here sold for a median of RM385,000.

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Market Snapshot

Residential

RM385,000

RM385 psf

Median transaction price

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Condo De Rozelle, Seksyen 10, Jalan Merbah 10/1, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Condo De Rozelle in Petaling, Selangor recorded 7 subsale transactions in 2021, with a median price of RM385K and a median price per square foot (PSF) of RM385.

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 RM385K, with most transactions falling within a stable range of RM375K to RM400K, and a typical market range of RM375K to RM408K.

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

For price per square foot, the median is RM385, with most transactions between RM370 and RM399. The usual range is RM365.23 to RM403.98, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.75 and an average deviation (MAD) of RM15 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.