St.mary Residensi

1, Jalan Tengah, Kuala Lumpur, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 1,400,000
PSF
RM 964
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Serviced Apt
RM 1,100,000
Level 18
1,141 sqft · RM 964 PSF
1,450 sqft
Serviced Apt
RM 1,400,000
Level 24
1,464 sqft · RM 956 PSF
RM 1,300,000
Level 2
1,464 sqft · RM 888 PSF
1,650 sqft
Serviced Apt
RM 1,700,000
Level 3A
1,636 sqft · RM 1,039 PSF
5,950 sqft
Serviced Apt
RM 6,200,000
Level 27
5,974 sqft · RM 1,038 PSF
Legend Recent Highest Price Highest PSF

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St.mary Residensi
© OpenStreetMap · CARTO

1, Jalan Tengah, Kuala Lumpur, 50450 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

St.mary Residensi in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2022, with a median price of RM 1.40 million and a median price per square foot (PSF) of RM 964.

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 RM 1.40 million, with most transactions falling within a stable range of RM 1.10 million to RM 3.34 million, and a typical market range of RM 1.17 million to RM 1.63 million.

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

For price per square foot, the median is RM 964, with most transactions between RM 907 and RM 1,021. The usual range is RM 883.09 to RM 1,045.09, showing that most units are priced quite close to each other. With an IQR of RM 162.00 and MAD of RM 57, the PSF demonstrates reasonable consistency across the market.

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.