Bandar Sri Putra
Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia
Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Seri Putra 9/1
|
RM 1,400,000
|
RM 279
|
5,027 sqft
|
|
|
Jalan Seri Putra 9/1
|
RM 1,500,000
|
RM 273
|
5,500 sqft
|
|
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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
RM 1,450,000
RM 276 psfMedian transaction price
RM 1,800,000
RM 1,069 psfMedian transaction price
Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia
MapsBandar Sri Putra in Hulu Langat, Selangor recorded 2 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.45 million and a median price per square foot (PSF) of RM 276.
This area contains both residential and commercial properties. View 176 residential properties or 56 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.45 million, with most transactions falling within a stable range of RM 1.40 million to RM 1.50 million, and a typical market range of RM 1.40 million to RM 1.50 million.
Within the Bungalow category, condominium/apartment dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 276, with most transactions between RM 273 and RM 279. The usual range is RM 221.74 to RM 329.49, showing that most units are priced quite close to each other. With an IQR of RM 107.75 and MAD of RM 3, the PSF demonstrates reasonable consistency across the market.
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.