Taman Sri Sentosa

58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 180,000
PSF
RM 174
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Office
RM 150,000
Level 2
807 sqft · RM 186 PSF
RM 140,000
Level 2
807 sqft · RM 173 PSF
RM 140,000
Level 3
807 sqft · RM 173 PSF
1,200 sqft
Office
RM 210,000
Level 2
1,206 sqft · RM 174 PSF
RM 420,000
Level 1
1,206 sqft · RM 348 PSF
1,500 sqft
Office
RM 240,000
Level 4
1,496 sqft · RM 160 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 165,000

RM 264 psf

Median transaction price

RM 180,000

RM 174 psf

Median transaction price

High

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Taman Sri Sentosa, 58000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman 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.