Kampung Pandan Dalam
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| LIST.MY · Kampung Pandan Dalam | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong G1
|
RM450,000
|
RM160
|
2,820 sqft
|
|
LC House |
|
Lorong Kemajuan 3
|
RM365,000
|
RM129
|
2,820 sqft
|
|
Bungalow |
| 2023 | |||||
|
Lorong Laman 4
|
RM430,000
|
RM153
|
2,810 sqft
|
|
Semi-D |
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Kampung Pandan Dalam
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 Ampang
Market Snapshot
ResidentialRM430,000
RM153 psfMedian transaction price
Kampung Pandan Dalam, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsKampung Pandan Dalam in Hulu Langat, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 2,775 and 2,824 sqft, with a median price of RM430K and a median price per square foot (PSF) of RM153.
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 RM430K, with most transactions falling within a stable range of RM394K to RM450K, and a typical market range of RM388K to RM450K.
Most transactions involved detached, with moderate diversity in property types available.
For price per square foot, the median is RM153, with most transactions between RM140 and RM166. The usual range is RM136.03 to RM170.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM34.00 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.