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
|
| 2023 | |||||
|
Lorong Luas 4 (K4)
|
RM340,000
|
RM93
|
3,640 sqft
|
|
Bungalow |
| 2022 | |||||
|
Lorong Cantek 1
|
RM500,000
|
RM136
|
3,670 sqft
|
|
Bungalow |
|
Jalan Pandan Kemajuan
|
RM600,000
|
RM164
|
3,650 sqft
|
|
Bungalow |
New Launches in Selangor
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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
ResidentialRM500,000
RM136 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 3,625 and 3,674 sqft, with a median price of RM500K and a median price per square foot (PSF) of RM136.
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 RM500K, with most transactions falling within a stable range of RM393K to RM600K, and a typical market range of RM458K to RM543K.
Most transactions involved detached, with moderate diversity in property types available.
Price per square foot shows a median of RM136, though individual units vary from RM107 to RM165 in the core range. The broader market spans RM119.25 to RM153.25, indicating diverse property characteristics. The spread of RM34.00 (IQR) and deviation of RM29 (MAD) suggest moderate price variations reflecting different property features.
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.