Lrt Station Bandaraya
City Centre, 50100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
City Centre, 50100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| LIST.MY · Lrt Station Bandaraya | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan 16/1, Petaling Jaya
|
RM4,800,000
|
RM600
|
8,002 sqft
|
|
Bungalow |
| 2023 | |||||
|
Jalan 16/2
|
RM2,000,000
|
RM247
|
8,105 sqft
|
|
Bungalow |
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Lrt Station Bandaraya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Kuala Lumpur Town Centre
Lrt Station Bandaraya, City Centre, 50100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsLrt Station Bandaraya in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM3.40 million and a median price per square foot (PSF) of RM600.
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 RM3.40 million, with most transactions falling within a stable range of RM2.00 million to RM4.80 million, and a typical market range of RM2.70 million to RM4.10 million.
Most transactions involved detached, with minimal variety in property types.
Price per square foot shows a median of RM600, though individual units vary from RM423 to RM776 in the core range. The broader market spans RM511.61 to RM688.11, indicating diverse property characteristics. A wider spread (IQR: RM176.50) and deviation (MAD: RM177) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.