| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Kenari 1/5
|
RM 450,000
|
RM 346
|
1,302 sqft
|
|
|
|
Lorong Kota Kenari 9/2
|
RM 410,000
|
RM 315
|
1,302 sqft
|
|
|
|
Lorong 9/2
|
RM 360,000
|
RM 272
|
1,324 sqft
|
|
|
Lorong 9/2
|
RM 420,000
|
RM 307
|
1,367 sqft
|
|
|
Jalan Kota Kenari 3
|
RM 545,000
|
RM 372
|
1,464 sqft
|
|
|
|
Lorong Kota Kenari
|
RM 498,000
|
RM 340
|
1,464 sqft
|
|
|
|
Lorong Kenari 4/5
|
RM 346,000
|
RM 236
|
1,464 sqft
|
|
|
|
Lorong Kota Kenari 4/5
|
RM 350,000
|
RM 239
|
1,464 sqft
|
|
|
|
Lorong. Kota Kenari 4/5
|
RM 495,000
|
RM 338
|
1,464 sqft
|
|
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Market Snapshot
RM 420,000
RM 315 psfMedian transaction price
RM 470,000
RM 286 psfMedian transaction price
1828, Lorong Kota Kenari 9/2, Taman Kenari, 09000 Kulim, Kedah, Malaysia
MapsTaman Kota Kenari in Kulim, Kedah recorded 9 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 420K and a median price per square foot (PSF) of RM 315.
This area contains both residential and commercial properties. View 41 residential properties or 9 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 420K, with most transactions falling within a stable range of RM 352K to RM 488K, and a typical market range of RM 353K to RM 487K.
Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 315, with core pricing between RM 269 and RM 360. Market pricing typically extends from RM 277.43 to RM 352.18, reflecting moderate variation in unit pricing. With an IQR of RM 74.75 and MAD of RM 46, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.