3 Towers
Jln Ampang, Kuala Lumpur, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jln Ampang, Kuala Lumpur, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 13
|
RM 1,300,000
|
RM 875
|
1,485 sqft
|
|
|
Level 16
|
RM 3,158,000
|
RM 334
|
9,453 sqft
|
|
|
Level 18
|
RM 3,158,000
|
RM 323
|
9,763 sqft
|
|
|
Level 20
|
RM 5,406,000
|
RM 540
|
10,010 sqft
|
|
|
Level 17
|
RM 3,158,000
|
RM 313
|
10,086 sqft
|
|
|
Level 18
|
RM 3,158,000
|
RM 301
|
10,492 sqft
|
|
|
Level 17
|
RM 3,158,000
|
RM 292
|
10,815 sqft
|
|
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Market Snapshot
CommercialRM 3,158,000
RM 334 psfMedian transaction price
3 Towers, Jln Ampang, Kuala Lumpur, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Maps3 Towers in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions in 2023, with a median price of RM 3.16 million and a median price per square foot (PSF) of RM 334.
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 RM 3.16 million, with most transactions falling within a stable range of RM 1.71 million to RM 4.61 million, and a typical market range of RM 2.42 million to RM 3.90 million.
Most transactions involved office lot, with minimal variety in property types.
Price per square foot shows a median of RM 334, though individual units vary from RM 0 to RM 746 in the core range. The broader market spans RM 70.31 to RM 597.81, indicating diverse property characteristics. A wider spread (IQR: RM 527.50) and deviation (MAD: RM 412) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.