Taman Sang Kancil

Kedah, Kulim, Bandar Lunas

Property Transactions

7 subsales grouped by size

Median
RM 300,000
PSF
RM 242
Price Size
Period
transactions middle 50% (P25–P75)
1,250 sqft
Terrace
RM 300,000
Lorong Kancil 3/1
1,238 sqft · RM 242 PSF
RM 300,000
Lorong Kancil 7/1
1,238 sqft · RM 242 PSF
RM 310,000
Lorong Kancil 3/1
1,238 sqft · RM 250 PSF
RM 280,000
Lorong Kancil 3/1
1,238 sqft · RM 226 PSF
RM 300,000
Lorong Kancil 3/1
1,238 sqft · RM 242 PSF
RM 225,000
Lorong Sang Kancil 3/1
1,238 sqft · RM 182 PSF
RM 220,000
Lorong. Sang Kancil
1,238 sqft · RM 178 PSF
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Market Snapshot

Residential

RM 300,000

RM 242 psf

Median transaction price

Taman Sang Kancil
© OpenStreetMap · CARTO

Taman Sang Kancil, Kulim, Kedah

Taman Sang Kancil in Kulim, Kedah recorded 7 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 300K and a median price per square foot (PSF) of RM 242.

This area contains both residential and commercial properties. View 7 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 300K, with most transactions falling within a stable range of RM 265K to RM 310K, and a typical market range of RM 276K to RM 310K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 242, with core pricing between RM 214 and RM 271. Market pricing typically extends from RM 210.86 to RM 273.86, reflecting moderate variation in unit pricing. With an IQR of RM 63.00 and MAD of RM 28, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.