Putra Residence-Ht5Q

Jalan Putra Murni 3/1, Putra Heights, 47650 Subang Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM629,000
PSF
RM634
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Serviced Apt
RM560,000
Level 20
980 sqft · RM572 PSF
RM650,000
Level 11
1,012 sqft · RM642 PSF
RM630,000
Level 8
1,012 sqft · RM623 PSF
RM622,000
Level 22
980 sqft · RM635 PSF
RM665,000
Level 17
980 sqft · RM679 PSF
RM628,000
Level 19
1,012 sqft · RM621 PSF
RM635,000
Level 31
980 sqft · RM648 PSF
RM620,000
Level 32
980 sqft · RM633 PSF
Legend Recent Highest Price Highest PSF

Selling in Putra Residence-Ht5Q? Homes here sold for a median of RM629,000.

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Putra Residence-Ht5Q
© OpenStreetMap · CARTO

Jalan Putra Murni 3/1, Putra Heights, 47650 Subang Jaya, Selangor, Malaysia

Maps

Putra Residence-Ht5Q in Petaling, Selangor recorded 8 subsale transactions between 2021 and 2026, sized between 975 and 1,024 sqft, with a median price of RM629K and a median price per square foot (PSF) of RM634.

This area contains both residential and commercial properties. View 24 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM629K, with most transactions falling within a stable range of RM600K to RM658K, and a typical market range of RM580K to RM665K.

Most transactions involved serviced apartment, though some variety exists in the market.

For price per square foot, the median is RM634, with most transactions between RM606 and RM662. The usual range is RM610.48 to RM657.48, showing that most units are priced quite close to each other. A typical spread (IQR) of RM47.00 and an average deviation (MAD) of RM28 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.