Desa Putra

Jalan Wangsa Perdana 3, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

2 subsales grouped by size

Median
RM585,000
PSF
RM451
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM570,000
Level 5
1,249 sqft · RM457 PSF
1,350 sqft
Condo
RM600,000
Level 9
1,345 sqft · RM446 PSF
Legend Recent Highest Price Highest PSF

Selling in Desa Putra? Homes here sold for a median of RM585,000.

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Market Snapshot

Residential

RM585,000

RM451 psf

Median transaction price

Average

Does DESA PUTRA rent out well?

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

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Desa Putra
© OpenStreetMap · CARTO

Jalan Wangsa Perdana 3, Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Desa Putra in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM585K and a median price per square foot (PSF) of RM451.

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 RM585K, with most transactions falling within a stable range of RM570K to RM600K, and a typical market range of RM570K to RM600K.

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

For price per square foot, the median is RM451, with most transactions between RM446 and RM457. The usual range is RM429.22 to RM473.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM44.50 and an average deviation (MAD) of RM6 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.