Taman Sungai Besi (Medium Cost Flat)
Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Taman Sungai Besi, 57100 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 2
|
RM 210,000
|
RM 238
|
883 sqft
|
|
|
|
Level G
|
RM 266,000
|
RM 301
|
883 sqft
|
|
Posts about Taman Sungai Besi (Medium Cost Flat)
No posts about Taman Sungai Besi (Medium Cost Flat) yet. Be the first to share what’s happening here.
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 238,000
RM 270 psfMedian transaction price
Taman Sungai Besi, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Sungai Besi (Medium Cost Flat) in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 238K and a median price per square foot (PSF) of RM 270.
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 RM 238K, with most transactions falling within a stable range of RM 210K to RM 266K, and a typical market range of RM 213K to RM 263K.
Most transactions involved flats, with minimal variety in property types.
The median PSF stands at RM 270, with core pricing between RM 238 and RM 301. Market pricing typically extends from RM 241.50 to RM 297.50, reflecting moderate variation in unit pricing. With an IQR of RM 56.00 and MAD of RM 32, the PSF demonstrates reasonable consistency across the market.
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.