Maxwell Towers

10, Jalan 5/58c, Gasing Indah, 46000 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Median
RM735,000
PSF
RM416
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Condo
RM770,000
Level 13A
1,765 sqft · RM436 PSF
RM680,000
Level 13A
1,765 sqft · RM385 PSF
RM735,000
Level 13
1,765 sqft · RM416 PSF
Legend Recent Highest Price Highest PSF

Selling in Maxwell Towers? Homes here sold for a median of RM735,000.

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Market Snapshot

Residential

RM735,000

RM416 psf

Median transaction price

Average

Does MAXWELL TOWER CONDOMINIUM-SEK.5 P.JAYA rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Maxwell Tower Condominium-Sek.5 P.jaya
© OpenStreetMap · CARTO

10, Jalan 5/58c, Gasing Indah, 46000 Petaling Jaya, Selangor, Malaysia

Maps

Maxwell Towers in Petaling, Selangor recorded 3 subsale transactions in 2024, with a median price of RM735K and a median price per square foot (PSF) of RM416.

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 RM735K, with most transactions falling within a stable range of RM698K to RM770K, and a typical market range of RM680K to RM770K.

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

For price per square foot, the median is RM416, with most transactions between RM395 and RM437. The usual range is RM392.86 to RM439.86, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.00 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.