| LIST.MY · Green Town Business Centre | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2021 | |||||
|
Level G
|
RM1,401,000
|
RM1,216
|
1,152 sqft
|
|
Office |
|
Level 2
|
RM706,000
|
RM362
|
1,948 sqft
|
|
Office |
|
Level 3
|
RM697,000
|
RM344
|
2,024 sqft
|
|
Office |
|
Level 4
|
RM697,000
|
RM344
|
2,024 sqft
|
|
Office |
|
Level G
|
RM1,380,000
|
RM310
|
4,445 sqft
|
|
Office |
|
Level 5
|
RM260,000
|
RM200
|
1,302 sqft
|
|
Shop |
Selling in Green Town Business Centre? Homes here sold for a median of RM701,500.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ipoh Utara
Market Snapshot
CommercialRM701,500
RM344 psfMedian transaction price
Green Town Business Centre in Kinta, Perak recorded 6 subsale transactions in 2021, with a median price of RM702K and a median price per square foot (PSF) of RM344.
This area consists exclusively of commercial properties, with no residential listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM702K, with most transactions falling within a stable range of RM293K to RM1.11 million, and a typical market range of RM384K to RM1.02 million.
Most transactions involved office lot, with high diversity across multiple property types.
Price per square foot shows a median of RM344, though individual units vary from RM3 to RM686 in the core range. The broader market spans RM215.06 to RM473.81, indicating diverse property characteristics. A wider spread (IQR: RM258.75) and deviation (MAD: RM341) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.