Taman Sri Sentosa

Kedah, Kulim, Bandar Lunas

Property Transactions

4 subsales grouped by size

Median
RM 217,500
PSF
RM 173
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
1-Sty Shop
RM 235,000
Jalan Sentosa 4/5
1,259 sqft · RM 187 PSF
RM 353,000
Jalan Sentosa 4/5
1,259 sqft · RM 280 PSF
RM 170,000
Jalan Sentosa 4/5
1,259 sqft · RM 135 PSF
RM 200,000
Jalan Sentosa 4/5
1,259 sqft · RM 159 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 270,000

RM 161 psf

Median transaction price

RM 217,500

RM 173 psf

Median transaction price

High

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Taman Sri Sentosa
© OpenStreetMap · CARTO

Taman Sri Sentosa, Kulim, Kedah

Taman Sri Sentosa in Kulim, Kedah recorded 4 Single Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 218K and a median price per square foot (PSF) of RM 173.

This area contains both residential and commercial properties. View 9 residential properties or 12 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 218K, with most transactions falling within a stable range of RM 170K to RM 287K, and a typical market range of RM 170K to RM 289K.

Within the Single Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 173, though individual units vary from RM 118 to RM 228 in the core range. The broader market spans RM 144.20 to RM 201.20, indicating diverse property characteristics. A wider spread (IQR: RM 57.00) and deviation (MAD: RM 55) 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.