Kampung Pandan Dalam
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2025 | |||||
|
Lorong C4
|
RM 500,000
|
RM 141
|
3,541 sqft
|
|
Bungalow |
| 2023 | |||||
|
Lorong B8
|
RM 450,000
|
RM 139
|
3,229 sqft
|
|
Bungalow |
|
Lorong D/6
|
RM 330,000
|
RM 98
|
3,358 sqft
|
|
Bungalow |
| 2022 | |||||
|
Lorong Cantik 1
|
RM 500,000
|
RM 144
|
3,477 sqft
|
|
Bungalow |
|
Jalan F
|
RM 500,000
|
RM 143
|
3,498 sqft
|
|
Bungalow |
| 2021 | |||||
|
Lorong Laman 3 (C3)
|
RM 380,000
|
RM 134
|
2,842 sqft
|
|
Bungalow |
|
Lorong Bersih 1
|
RM 350,000
|
RM 124
|
2,831 sqft
|
|
Bungalow |
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Market Snapshot
ResidentialRM 450,000
RM 139 psfMedian transaction price
Kampung Pandan Dalam, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsKampung Pandan Dalam in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 450K and a median price per square foot (PSF) of RM 139.
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 RM 450K, with most transactions falling within a stable range of RM 400K to RM 500K, and a typical market range of RM 383K to RM 500K.
Most transactions involved detached, with minimal variety in property types.
For price per square foot, the median is RM 139, with most transactions between RM 134 and RM 144. The usual range is RM 132.85 to RM 145.85, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 13.00 and an average deviation (MAD) of RM 5 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.