Residensi Pv9

19, Jalan Kampung Wira Jaya, Taman Melati, 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
RM480,000
PSF
RM457
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM340,000
Level 26
990 sqft · RM343 PSF
1,100 sqft
Condo
RM620,000
Level 33
1,087 sqft · RM570 PSF
Legend Recent Highest Price Highest PSF

Selling in Residensi Pv9? Homes here sold for a median of RM480,000.

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Market Snapshot

Residential

RM480,000

RM457 psf

Median transaction price

Average

Does RESIDENSI PV9 rent out well?

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

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19, Jalan Kampung Wira Jaya, Taman Melati, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Residensi Pv9 in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM480K and a median price per square foot (PSF) of RM457.

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 RM480K, with most transactions falling within a stable range of RM340K to RM620K, and a typical market range of RM340K to RM620K.

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

Price per square foot shows a median of RM457, though individual units vary from RM343 to RM570 in the core range. The broader market spans RM330.75 to RM582.25, indicating diverse property characteristics. The spread of RM251.50 (IQR) and deviation of RM114 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.