Faber Plaza

15D, Jalan Desa Jaya, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM515,000
PSF
RM363
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Flat
RM430,000
Level 4
1,389 sqft · RM310 PSF
RM400,000
Level 3
1,389 sqft · RM288 PSF
1,450 sqft
Flat
RM600,000
Level 3
1,442 sqft · RM416 PSF
1,500 sqft
Shop
RM2,360,000
Level G
1,496 sqft · RM1,577 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM430,000

RM310 psf

Median transaction price

RM2,360,000

RM1,577 psf

Median transaction price

High

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Faber Plaza, 15D, Jalan Desa Jaya, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Faber Plaza in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2024, with a median price of RM515K and a median price per square foot (PSF) of RM363.

This area contains both residential and commercial properties. View 7 residential properties or 11 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM515K, with most transactions falling within a stable range of RM400K to RM1.33 million, and a typical market range of RM400K to RM949K.

Most transactions involved flats, with high diversity across multiple property types.

Price per square foot shows a median of RM363, though individual units vary from RM0 to RM902 in the core range. The broader market spans RM88.70 to RM636.95, indicating diverse property characteristics. A wider spread (IQR: RM548.25) and deviation (MAD: RM539) indicate significant PSF variations, likely due to diverse property types or conditions.

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.