Kampung Pandan
55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| LIST.MY · Kampung Pandan | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong 1
|
RM450,000
|
RM129
|
3,477 sqft
|
|
Bungalow |
|
Lorong 1
|
RM410,000
|
RM117
|
3,509 sqft
|
|
Bungalow |
|
Lorong Kampung Pandan
|
RM1,500,000
|
RM358
|
4,187 sqft
|
|
Bungalow |
Selling in Kampung Pandan? Homes here sold for a median of RM450,000.
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Kampung Pandan
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 Ampang
Market Snapshot
ResidentialRM450,000
RM129 psfMedian transaction price
Kampung Pandan, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsKampung Pandan in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2024, with a median price of RM450K and a median price per square foot (PSF) of RM129.
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 RM450K, with most transactions falling within a stable range of RM410K to RM955K, and a typical market range of RM410K to RM571K.
Most transactions involved detached, though some variety exists in the market.
Price per square foot shows a median of RM129, though individual units vary from RM18 to RM240 in the core range. The broader market spans RM0.00 to RM291.56, indicating diverse property characteristics. A wider spread (IQR: RM324.25) and deviation (MAD: RM111) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.