Wangsa Melawati

53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 634,000
PSF
RM 536
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Terrace
RM 610,000
Jalan Wangsa Siaga 1
1,163 sqft · RM 525 PSF
RM 630,000
Jalan Wangsa Siaga 1
1,163 sqft · RM 542 PSF
1,200 sqft
2-Sty Terrace
RM 638,000
Lorong Siaga 2
1,206 sqft · RM 529 PSF
RM 730,000
Lorong Wangsa Siaga 3
1,206 sqft · RM 606 PSF
1,250 sqft
2-Sty Terrace
RM 620,000
Jalan Wangsa Melawati 4
1,249 sqft · RM 497 PSF
1,700 sqft
2-Sty Terrace
RM 1,000,000
Jalan Wangsa Budi 7
1,722 sqft · RM 581 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 634,000

RM 536 psf

Median transaction price

Wangsa Melawati
© OpenStreetMap · CARTO

Wangsa Melawati, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wangsa Melawati in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2022, with a median price of RM 634K and a median price per square foot (PSF) of RM 536.

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 RM 634K, with most transactions falling within a stable range of RM 610K to RM 772K, and a typical market range of RM 610K to RM 699K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 536, with most transactions between RM 499 and RM 572. The usual range is RM 482.08 to RM 589.08, showing that most units are priced quite close to each other. With an IQR of RM 107.00 and MAD of RM 36, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.