Taman Teja (Fasa 1)

Kedah, Kubang Pasu, Bandar Changloon

Property Transactions

16 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM170,000
1,399 sqft
RM121 PSF
RM230,000
1,399 sqft
RM164 PSF
RM250,000
1,399 sqft
RM179 PSF
RM250,000
1,399 sqft
RM179 PSF
RM250,000
1,399 sqft
RM179 PSF
RM200,000
1,399 sqft
RM143 PSF
RM261,000
1,399 sqft
RM187 PSF
RM290,000
1,399 sqft
RM207 PSF
RM180,000
1,399 sqft
RM129 PSF
RM340,000
3,251 sqft
RM105 PSF
RM280,000
2,562 sqft
RM109 PSF
RM260,000
1,367 sqft
RM190 PSF
RM250,000
1,367 sqft
RM183 PSF
RM350,000
1,604 sqft
RM218 PSF
RM355,000
2,583 sqft
RM137 PSF
RM325,000
2,562 sqft
RM127 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Teja (Fasa 1)? Homes here sold for a median of RM255,000.

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Market Snapshot

Residential

RM250,000

RM179 psf

Median transaction price

Taman Teja (Fasa 1) in Kubang Pasu, Kedah recorded 16 subsale transactions between 2021 and 2026, with a median price of RM255K and a median price per square foot (PSF) of RM179.

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 RM255K, with most transactions falling within a stable range of RM225K to RM285K, and a typical market range of RM228K to RM282K.

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

The median PSF stands at RM179, with core pricing between RM152 and RM206. Market pricing typically extends from RM150.91 to RM206.41, reflecting moderate variation in unit pricing. The spread of RM55.50 (IQR) and deviation of RM27 (MAD) suggest moderate price variations reflecting different property features.

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.