Taman Kenari Fasa 1

36, Persiaran Utama 1/16, 09000 Kulim, Kedah, Malaysia

Property Transactions

4 subsales grouped by size · LC House →

Median
RM 310,000
PSF
RM 222
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
LC House
RM 280,000
Jalan Kenari 2
1,399 sqft · RM 200 PSF
RM 340,000
Lorong Kenari 11/2A
1,399 sqft · RM 243 PSF
RM 330,000
Lorong Kenari 7/3
1,399 sqft · RM 236 PSF
RM 290,000
Lorong Kenari 19/3
1,399 sqft · RM 207 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Kenari Fasa 1

What’s happening in Taman Kenari Fasa 1?

No posts about Taman Kenari Fasa 1 yet. Be the first to share what’s happening here.

Property News

More property news →

Market Snapshot

Residential

RM 310,000

RM 222 psf

Median transaction price

Taman Kenari Fasa 1
© OpenStreetMap · CARTO

36, Persiaran Utama 1/16, 09000 Kulim, Kedah, Malaysia

Maps

Taman Kenari Fasa 1 in Kulim, Kedah recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 310K and a median price per square foot (PSF) of RM 222.

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 310K, with most transactions falling within a stable range of RM 285K to RM 335K, and a typical market range of RM 280K to RM 340K.

Most transactions involved low-cost house, though some variety exists in the market.

For price per square foot, the median is RM 222, with most transactions between RM 203 and RM 240. The usual range is RM 193.00 to RM 250.00, showing that most units are priced quite close to each other. With an IQR of RM 57.00 and MAD of RM 18, 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.