Tong Yik Mansion
1, Jln Sin Chew Kee, City Centre, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
1, Jln Sin Chew Kee, City Centre, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM340,000
|
RM312
|
1,088 sqft
|
|
|
|
Level 2
|
RM430,000
|
RM395
|
1,089 sqft
|
|
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Tong Yik Mansion
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 Kuala Lumpur Town Centre
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
1, Jln Sin Chew Kee, City Centre, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTong Yik Mansion in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM335.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM340K to RM360K, and a typical market range of RM340K to RM373K.
Most transactions involved flats, with minimal variety in property types.
For price per square foot, the median is RM335, with most transactions between RM312 and RM358. The usual range is RM314.12 to RM355.62, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.50 and an average deviation (MAD) of RM23 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.