Taman Sri Sentosa
58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM 150,000
|
RM 186
|
807 sqft
|
|
|
|
Level 2
|
RM 140,000
|
RM 173
|
807 sqft
|
|
|
|
Level 3
|
RM 140,000
|
RM 173
|
807 sqft
|
|
|
Level 2
|
RM 210,000
|
RM 174
|
1,206 sqft
|
|
|
|
Level 1
|
RM 420,000
|
RM 348
|
1,206 sqft
|
|
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Market Snapshot
RM 165,000
RM 264 psfMedian transaction price
RM 180,000
RM 174 psfMedian transaction price
Taman Sri Sentosa, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Sri Sentosa in Kuala Lumpur, Kuala Lumpur recorded 6 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 174.
This area contains both residential and commercial properties. View 15 residential properties or 14 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 180K, with most transactions falling within a stable range of RM 140K to RM 278K, and a typical market range of RM 140K to RM 315K.
Within the Office Lot category, shop unit/retail lot dominated the market, with high diversity across multiple property types.
Price per square foot shows a median of RM 174, though individual units vary from RM 108 to RM 239 in the core range. The broader market spans RM 53.31 to RM 294.31, indicating diverse property characteristics. A wider spread (IQR: RM 241.00) and deviation (MAD: RM 66) 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.