| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Ks 8
|
RM 290,000
|
RM 207
|
1,399 sqft
|
|
|
Lorong Ks 4/7
|
RM 400,000
|
RM 267
|
1,496 sqft
|
|
|
|
Lorong Ks 3/7
|
RM 370,000
|
RM 247
|
1,496 sqft
|
|
|
Jalan Kulim Square 4
|
RM 390,000
|
RM 152
|
2,562 sqft
|
|
|
Jalan Kulim Square 1/3
|
RM 720,000
|
RM 276
|
2,605 sqft
|
|
2-Sty Shop |
|
Jalan Ks 7
|
RM 355,000
|
RM 136
|
2,605 sqft
|
|
Terrace |
|
Jalan Kulim Square 1/3
|
RM 680,000
|
RM 261
|
2,605 sqft
|
|
2-Sty Shop |
|
Lorong Ks 4/4
|
RM 400,000
|
RM 147
|
2,723 sqft
|
|
Semi-D |
|
Jalan Ks 2/3
|
RM 668,000
|
RM 245
|
2,723 sqft
|
|
Semi-D |
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Market Snapshot
ResidentialRM 380,000
RM 182 psfMedian transaction price
TAMAN KULIM SQUARE, Kulim Square, Bandar Lunas, Kulim, Kedah, Malaysia
Taman Kulim Square in Kulim, Kedah recorded 10 subsale transactions in 2022, with a median price of RM 395K and a median price per square foot (PSF) of RM 226.
This area contains both residential and commercial properties. View 29 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 395K, with most transactions falling within a stable range of RM 210K to RM 580K, and a typical market range of RM 312K to RM 478K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 226, though individual units vary from RM 173 to RM 280 in the core range. The broader market spans RM 161.15 to RM 291.40, indicating diverse property characteristics. The spread of RM 130.25 (IQR) and deviation of RM 53 (MAD) suggest moderate price variations reflecting different property features.
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.