VIlla Putra Condominium

33B-1-4, VIlla Putra Condominium, 33, Jalan Tun Ismail, Chow Kit, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales found

Median
RM390,000
PSF
RM352
Price Size
Period
transactions middle 50% (P25–P75)
RM380,000
Level 12
1,109 sqft RM343 PSF
RM360,000
Level 15
1,109 sqft RM325 PSF
RM405,000
Level 13
1,109 sqft RM365 PSF
RM390,000
Level 14
1,109 sqft RM352 PSF
RM400,000
Level 12
1,109 sqft RM361 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM390,000

RM352 psf

Median transaction price

High

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

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Villa Putra
© OpenStreetMap · CARTO

33B-1-4, VIlla Putra Condominium, 33, Jalan Tun Ismail, Chow Kit, 50480 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

VIlla Putra Condominium in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM390K and a median price per square foot (PSF) of RM352.

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 RM390K, with most transactions falling within a stable range of RM374K to RM405K, and a typical market range of RM360K to RM405K.

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

For price per square foot, the median is RM352, with most transactions between RM337 and RM366. The usual range is RM315.65 to RM387.90, showing that most units are priced quite close to each other. With an IQR of RM72.25 and MAD of RM14, the PSF demonstrates reasonable consistency across the market.

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.