Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan. Tiong 7
|
RM 200,000
|
RM 167
|
1,195 sqft
|
|
1-Sty Shop |
|
Jalan Tiong 8
|
RM 150,000
|
RM 126
|
1,195 sqft
|
|
LC House |
|
Jalan. Tiong 2
|
RM 235,000
|
RM 180
|
1,302 sqft
|
|
|
|
Jalan Tiong 1/2
|
RM 280,000
|
RM 215
|
1,302 sqft
|
|
|
|
Jalan Tiong 1
|
RM 290,000
|
RM 223
|
1,302 sqft
|
|
|
Jalan Tiong 1
|
RM 400,000
|
RM 164
|
2,443 sqft
|
|
|
Jalan Tiong 1/2
|
RM 250,000
|
RM 101
|
2,486 sqft
|
|
|
Lorong Tiong 1/3
|
RM 450,000
|
RM 135
|
3,326 sqft
|
|
Posts about Taman Tiong Fasa 1
No posts about Taman Tiong Fasa 1 yet. Be the first to share what’s happening here.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 280,000
RM 164 psfMedian transaction price
Taman Tiong Fasa 1 in Kulim, Kedah recorded 8 subsale transactions in 2024, with a median price of RM 265K and a median price per square foot (PSF) of RM 166.
This area contains both residential and commercial properties. View 19 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 265K, with most transactions falling within a stable range of RM 172K to RM 358K, and a typical market range of RM 220K to RM 310K.
Most transactions involved low-cost house, with minimal variety in property types.
Price per square foot shows a median of RM 166, though individual units vary from RM 126 to RM 205 in the core range. The broader market spans RM 133.05 to RM 198.05, indicating diverse property characteristics. The spread of RM 65.00 (IQR) and deviation of RM 40 (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.