Taman Salak Maju
Taman Seri Bestari, 43900 Nilai, Negeri Sembilan, Malaysia
Taman Seri Bestari, 43900 Nilai, Negeri Sembilan, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 2
|
RM 240,000
|
RM 225
|
1,066 sqft
|
|
Condo |
| 2022 | |||||
|
Jalan Sm 3
|
RM 600,000
|
RM 214
|
2,802 sqft
|
|
Semi-D |
|
Level G
|
RM 250,000
|
RM 235
|
1,066 sqft
|
|
Condo |
| 2021 | |||||
|
Level 2
|
RM 250,000
|
RM 235
|
1,066 sqft
|
|
Condo |
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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 250,000
RM 235 psfMedian transaction price
Taman Seri Bestari, 43900 Nilai, Negeri Sembilan, Malaysia
MapsTaman Salak Maju in Sepang, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 250K and a median price per square foot (PSF) of RM 235.
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 250K, with most transactions falling within a stable range of RM 245K to RM 255K, and a typical market range of RM 240K to RM 295K.
Most transactions involved condominium/apartment, though some variety exists in the market.
For price per square foot, the median is RM 235, with most transactions between RM 230 and RM 240. The usual range is RM 228.16 to RM 240.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 12.75 and an average deviation (MAD) of RM 5 indicate a highly stable PSF trend across properties.
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.