Taman Melati Utama Condo

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM465,000
PSF
RM348
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM450,000
Level 13
1,270 sqft · RM354 PSF
1,350 sqft
Condo
RM460,000
Level 4
1,335 sqft · RM345 PSF
RM465,000
Level 11
1,335 sqft · RM348 PSF
1,600 sqft
Condo
RM525,000
Level 24
1,615 sqft · RM325 PSF
1,850 sqft
Condo
RM700,000
Level 5
1,830 sqft · RM383 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Melati Utama Condo? Homes here sold for a median of RM465,000.

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Market Snapshot

Residential

RM465,000

RM348 psf

Median transaction price

Taman Melati Utama Condo
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Melati Utama Condo in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2023, with a median price of RM465K and a median price per square foot (PSF) of RM348.

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 RM465K, with most transactions falling within a stable range of RM450K to RM559K, and a typical market range of RM450K to RM488K.

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

For price per square foot, the median is RM348, with most transactions between RM330 and RM367. The usual range is RM330.14 to RM366.64, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 and an average deviation (MAD) of RM19 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. 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.