Faber Heights

Jalan Desa Utama, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM350,000
PSF
RM437
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
Condo
RM350,000
Level 16
608 sqft · RM576 PSF
RM285,000
Level 7
581 sqft · RM490 PSF
RM320,000
Level 17
581 sqft · RM551 PSF
850 sqft
Condo
RM325,000
Level 3
850 sqft · RM382 PSF
950 sqft
Condo
RM350,000
Level 1
936 sqft · RM374 PSF
RM390,000
Level 6
936 sqft · RM416 PSF
RM423,000
Level 13
926 sqft · RM457 PSF
1,200 sqft
Condo
RM495,000
Level 18
1,216 sqft · RM407 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM350,000

RM437 psf

Median transaction price

Average

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Faber Heights
© OpenStreetMap · CARTO

Jalan Desa Utama, Taman Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Faber Heights in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions in 2025, with a median price of RM350K and a median price per square foot (PSF) of RM437.

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 RM350K, with most transactions falling within a stable range of RM287K to RM413K, and a typical market range of RM286K to RM414K.

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

The median PSF stands at RM437, with core pricing between RM365 and RM508. Market pricing typically extends from RM391.96 to RM481.46, reflecting moderate variation in unit pricing. The spread of RM89.50 (IQR) and deviation of RM71 (MAD) suggest moderate price variations reflecting different property features.

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.