Taman Melati Utama Condo

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

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM450,000
PSF
RM337
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Condo
RM410,000
Level 17
1,270 sqft · RM323 PSF
1,350 sqft
Condo
RM495,000
Level 5
1,335 sqft · RM371 PSF
RM450,000
Level 16
1,335 sqft · RM337 PSF
RM480,000
Level 12
1,335 sqft · RM360 PSF
RM450,000
Level 14
1,335 sqft · RM337 PSF
1,400 sqft
Condo
RM450,000
Level 8
1,389 sqft · RM324 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Melati Utama Condo? Homes here sold for a median of RM450,000.

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Market Snapshot

Residential

RM450,000

RM337 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 6 subsale transactions in 2022, with a median price of RM450K and a median price per square foot (PSF) of RM337.

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 RM450K, with most transactions falling within a stable range of RM423K to RM477K, and a typical market range of RM428K to RM473K.

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

For price per square foot, the median is RM337, with most transactions between RM319 and RM355. The usual range is RM318.90 to RM355.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM36.50 and an average deviation (MAD) of RM18 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.