Kuala Lumpur Utara
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| LIST.MY · Kuala Lumpur Utara | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Seri Utara 1
|
RM2,975,000
|
RM361
|
8,234 sqft
|
|
3-Sty Shop |
|
Jalan Seri Utara 1. Sri Utara
|
RM3,200,000
|
RM388
|
8,245 sqft
|
|
3-Sty Shop |
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Kuala Lumpur Utara
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 Batu
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Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsKuala Lumpur Utara in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, sized between 8,225 and 8,274 sqft, with a median price of RM3.09 million and a median price per square foot (PSF) of RM375.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM3.09 million, with most transactions falling within a stable range of RM2.98 million to RM3.20 million, and a typical market range of RM3.03 million to RM3.14 million.
Most transactions involved 3 - 3 1/2 storey shop, with minimal variety in property types.
For price per square foot, the median is RM375, with most transactions between RM361 and RM388. The usual range is RM351.45 to RM397.95, showing that most units are priced quite close to each other. A typical spread (IQR) of RM46.50 and an average deviation (MAD) of RM13 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.