Melati Impian

Jln Madrasah, Gombak Setia, 53100 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
RM100,000
PSF
RM115
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM100,000
Level 9
872 sqft · RM115 PSF
Legend Recent Highest Price Highest PSF

Selling in Melati Impian? Homes here sold for a median of RM100,000.

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

List your property free

Posts about Melati Impian

What’s happening in Melati Impian?

No posts about Melati Impian yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM100,000

RM115 psf

Median transaction price

Melati Impian
© OpenStreetMap · CARTO

Melati Impian, Jln Madrasah, Gombak Setia, 53100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Melati Impian in Kuala Lumpur, Kuala Lumpur recorded 1 subsale transactions in 2025, with a median price of RM100K and a median price per square foot (PSF) of RM115.

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 RM115, with most transactions between RM115 and RM115. The usual range is RM100.57 to RM128.82, showing that most units are priced quite close to each other. A typical spread (IQR) of RM28.25 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.

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.