Taman Kijang

Kedah, Kulim, Bandar Lunas

Property Transactions

9 subsales grouped by size

Median
RM 300,000
PSF
RM 167
Price Size
Period
transactions middle 50% (P25–P75)
RM 300,000
Lorong Kijang 2/5
1,798 sqft · RM 167 PSF
RM 280,000
Lorong. Kijang 1/2
1,798 sqft · RM 156 PSF
RM 210,000
Lorong Kijang 4
1,798 sqft · RM 117 PSF
RM 300,000
Lorong Kijang 5
1,798 sqft · RM 167 PSF
RM 300,000
Lorong Kijang 3/6
1,798 sqft · RM 167 PSF
RM 265,000
Lorong Kijang 1/4
1,798 sqft · RM 147 PSF
RM 300,000
Lorong Kijang 2/5
1,798 sqft · RM 167 PSF
RM 300,000
Lorong Kijang 3
1,798 sqft · RM 167 PSF
2,200 sqft
Semi-D
RM 300,000
Lorong 2/5
2,196 sqft · RM 137 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 300,000

RM 167 psf

Median transaction price

Taman Kijang
© OpenStreetMap · CARTO

Taman Kijang, Kulim, Kedah

Taman Kijang in Kulim, Kedah recorded 9 subsale transactions between 2021 and 2026, priced up to RM 300K, with a median price of RM 300K and a median price per square foot (PSF) of RM 167.

This area consists exclusively of residential properties, with no commercial listings recorded.

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 271K to RM 300K, and a typical market range of RM 275K to RM 300K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with high diversity across multiple property types.

The median PSF stands at RM 167, with core pricing between RM 150 and RM 184. Market pricing typically extends from RM 151.39 to RM 182.39, reflecting moderate variation in unit pricing. With an IQR of RM 31.00 and MAD of RM 17, 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.