Taman Kenanga (Jitra)

Taman Kenanga, Bandar Jitra, 06000, Kubang Pasu, Kedah, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM180,000
Jalan Telok Malik
1,100 sqft · RM164 PSF
RM195,000
Jalan Kenanga 4
1,100 sqft · RM177 PSF
RM220,000
Jalan Kenanga 4
1,100 sqft · RM200 PSF
1,200 sqft
Terrace
RM210,000
Jalan Tanah Merah / Jitra
1,200 sqft · RM175 PSF
2,250 sqft
Semi-D
RM418,000
Jalan Kenanga 3
2,239 sqft · RM187 PSF
2,400 sqft
Semi-D
RM430,000
Jalan Kenanga 1
2,379 sqft · RM181 PSF
2,800 sqft
Semi-D
RM340,000
Jakan Telok Malek
2,799 sqft · RM121 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM220,000

RM177 psf

Median transaction price

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TAMAN KENANGA (JITRA), Taman Kenanga, Bandar Jitra, 06000, Kubang Pasu, Kedah, Malaysia

Taman Kenanga (Jitra) in Kubang Pasu, Kedah recorded 7 subsale transactions between 2021 and 2026, with a median price of RM220K and a median price per square foot (PSF) of RM177.

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 RM220K, with most transactions falling within a stable range of RM180K to RM260K, and a typical market range of RM180K to RM308K.

Most transactions involved low-cost house, with moderate diversity in property types available.

For price per square foot, the median is RM177, with most transactions between RM167 and RM187. The usual range is RM170.03 to RM184.53, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.50 and an average deviation (MAD) of RM10 indicate a highly stable PSF trend across properties.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.