Sri Mahkota

2, Jalan Ampang Tengah, Taman U Thant, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM341,000
Level 12
980 sqft · RM348 PSF
RM530,000
Level 10
980 sqft · RM541 PSF
RM365,000
Level 8
980 sqft · RM373 PSF
RM338,000
Level 2
980 sqft · RM345 PSF
1,100 sqft
Condo
RM499,000
Level 14
1,076 sqft · RM464 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM365,000

RM373 psf

Median transaction price

Bandar Menjalara (Desa Seri Mahkota)
© OpenStreetMap · CARTO

Sri Mahkota, 2, Jalan Ampang Tengah, Taman U Thant, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Sri Mahkota in Kuala Lumpur, Kuala Lumpur recorded 5 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM365K and a median price per square foot (PSF) of RM373.

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 RM365K, with most transactions falling within a stable range of RM338K to RM448K, and a typical market range of RM338K to RM530K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with minimal variety in property types.

Price per square foot shows a median of RM373, though individual units vary from RM296 to RM449 in the core range. The broader market spans RM296.26 to RM449.01, indicating diverse property characteristics. The spread of RM152.75 (IQR) and deviation of RM77 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.