Sentul Garden
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
| LIST.MY · Sentul Garden | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2026 | |||||
|
Lorong Sentul Bahagia 1
|
RM750,000
|
RM335
|
2,239 sqft
|
|
2-Sty Terrace |
| 2024 | |||||
|
Jalan Sentul Murni
|
RM600,000
|
RM457
|
1,313 sqft
|
|
2-Sty Terrace |
|
Lorong Sentul Bahagia 3
|
RM810,000
|
RM430
|
1,884 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Lorong Sentul Endah
|
RM530,000
|
RM362
|
1,464 sqft
|
|
2-Sty Terrace |
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Sentul Garden
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 Setapak
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
MapsSentul Garden in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM675K and a median price per square foot (PSF) of RM430.
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 RM675K, with most transactions falling within a stable range of RM570K to RM780K, and a typical market range of RM584K to RM766K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM430, with most transactions between RM411 and RM449. The usual range is RM409.76 to RM450.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM40.50 and an average deviation (MAD) of RM19 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.