Taman Sutera Indah

Kedah, Kulim, Bandar Lunas

Property Transactions

15 subsales grouped by road · Terrace →

Period
transactions middle 50% (P25–P75)
RM 500,000
2,465 sqft
RM 203 PSF
RM 600,000
2,465 sqft
RM 243 PSF
RM 330,000
2,465 sqft
RM 134 PSF
RM 455,000
3,240 sqft
RM 140 PSF
RM 310,000
1,302 sqft
RM 238 PSF
RM 330,000
1,399 sqft
RM 236 PSF
RM 280,000
1,399 sqft
RM 200 PSF
RM 350,000
1,399 sqft
RM 250 PSF
RM 300,000
1,399 sqft
RM 214 PSF
RM 440,000
3,584 sqft
RM 123 PSF
RM 400,000
2,013 sqft
RM 199 PSF
RM 350,000
2,809 sqft
RM 125 PSF
RM 300,000
1,399 sqft
RM 214 PSF
RM 280,000
1,733 sqft
RM 162 PSF
RM 260,000
2,465 sqft
RM 105 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 320,000

RM 207 psf

Median transaction price

Taman Sutera Indah
© OpenStreetMap · CARTO

Taman Sutera Indah, Kulim, Kedah

Taman Sutera Indah in Kulim, Kedah recorded 15 subsale transactions between 2021 and 2026, with a median price of RM 330K and a median price per square foot (PSF) of RM 200.

This area contains both residential and commercial properties. View 10 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 330K, with most transactions falling within a stable range of RM 280K to RM 380K, and a typical market range of RM 270K to RM 390K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 200, with core pricing between RM 176 and RM 224. Market pricing typically extends from RM 169.60 to RM 230.60, reflecting moderate variation in unit pricing. With an IQR of RM 61.00 and MAD of RM 24, the PSF demonstrates reasonable consistency across the market.

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.