Fera Residence

B-12-10, Fera Residence, Jln Wangsa Kuarza, Seksyen 10 Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM532,000
PSF
RM762
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM465,000
Level 12
657 sqft · RM708 PSF
RM535,000
Level 10
667 sqft · RM802 PSF
RM529,000
Level 26
667 sqft · RM793 PSF
850 sqft
Serviced Apt
RM629,000
Level 17
861 sqft · RM730 PSF
Legend Recent Highest Price Highest PSF

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Fera Residence
© OpenStreetMap · CARTO

B-12-10, Fera Residence, Jln Wangsa Kuarza, Seksyen 10 Wangsa Maju, 53300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Fera Residence in Kuala Lumpur, Kuala Lumpur recorded 4 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM532K and a median price per square foot (PSF) of RM762.

This area contains both residential and commercial properties. View 4 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM532K, with most transactions falling within a stable range of RM473K to RM591K, and a typical market range of RM465K to RM629K.

Within the Serviced Apt category, shop unit/retail lot dominated the market, though some variety exists in the market.

For price per square foot, the median is RM762, with most transactions between RM722 and RM801. The usual range is RM600.56 to RM922.56, showing that most units are priced quite close to each other. With an IQR of RM322.00 and MAD of RM40, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.