Bandaraya Petaling
Petaling Jaya, Selangor, Malaysia
Petaling Jaya, Selangor, Malaysia
| LIST.MY · Bandaraya Petaling | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Jalan Nyaman 5
|
RM638,000
|
RM387
|
1,647 sqft
|
|
Terrace |
| 2024 | |||||
|
Jalan Lazat 5
|
RM628,000
|
RM381
|
1,647 sqft
|
|
Terrace |
|
Jalan Lazat 7
|
RM635,000
|
RM386
|
1,647 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Lazat 5
|
RM615,000
|
RM373
|
1,647 sqft
|
|
Terrace |
|
Jalan Lazat 7
|
RM600,000
|
RM364
|
1,647 sqft
|
|
Terrace |
| 2021 | |||||
|
Jalan Lazat 7
|
RM600,000
|
RM364
|
1,647 sqft
|
|
Terrace |
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Bandaraya Petaling
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 Mukim Petaling
Petaling Jaya, Selangor, Malaysia
MapsBandaraya Petaling in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM622K and a median price per square foot (PSF) of RM381.
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 RM622K, with most transactions falling within a stable range of RM607K to RM637K, and a typical market range of RM607K to RM636K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM381, with most transactions between RM372 and RM391. The usual range is RM372.08 to RM390.58, showing that most units are priced quite close to each other. A typical spread (IQR) of RM18.50 and an average deviation (MAD) of RM10 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.