Desa Pakar Flat

Taman Sungai Besi, 57100 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

2 subsales grouped by size

Median
RM114,000
PSF
RM202

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM90,000
Level 14
564 sqft · RM160 PSF
RM138,000
Level 12
564 sqft · RM245 PSF
Legend Recent Highest Price Highest PSF

Selling in Desa Pakar Flat? Homes here sold for a median of RM114,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Desa Pakar Flat

What’s happening in Desa Pakar Flat?

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

Desa Pakar Flat
© OpenStreetMap · CARTO

Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Desa Pakar Flat in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2022, with a median price of RM114K and a median price per square foot (PSF) of RM202.

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 RM114K, with most transactions falling within a stable range of RM90K to RM138K, and a typical market range of RM102K to RM127K.

Most transactions involved flats, though some variety exists in the market.

Price per square foot shows a median of RM202, though individual units vary from RM160 to RM245 in the core range. The broader market spans RM192.13 to RM212.13, indicating diverse property characteristics. The spread of RM20.00 (IQR) and deviation of RM43 (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. 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.