Bukit Desa Condominium

30-32, Jalan Bukit Desa 3, Taman Bukit Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

1 subsales grouped by size

Median
RM590,000
PSF
RM477
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM590,000
Level 10
1,238 sqft · RM477 PSF
Legend Recent Highest Price Highest PSF

Posts about Bukit Desa Condominium

What’s happening in Bukit Desa Condominium?

No posts about Bukit Desa Condominium yet. Be the first to share what’s happening here.

Low

Does BUKIT DESA CONDOMINIUM rent out well?

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

See the yield with Plus

RM59 a month, cancel any time

Bukit Desa Condominium
© OpenStreetMap · CARTO

30-32, Jalan Bukit Desa 3, Taman Bukit Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bukit Desa Condominium in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2023, with a median price of RM590K and a median price per square foot (PSF) of RM477.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

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

For price per square foot, the median is RM477, with most transactions between RM477 and RM477. The usual range is RM450.13 to RM503.13, showing that most units are priced quite close to each other. With an IQR of RM53.00 and MAD of RM0, 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.