Taman Universiti Indah
Seri Kembangan, Selangor, Malaysia
Seri Kembangan, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Indah 1/28
|
RM 525,000
|
RM 617
|
850 sqft
|
|
2-Sty Terrace |
|
-
|
RM 250,000
|
RM 298
|
840 sqft
|
|
Flat |
|
Jalan Indah 1/36
|
RM 500,000
|
RM 588
|
850 sqft
|
|
2-Sty Terrace |
|
Jalan Indah 2/3
|
RM 750,000
|
RM 450
|
1,668 sqft
|
|
|
Jalan Indah 1/11C
|
RM 625,000
|
RM 370
|
1,690 sqft
|
|
|
|
Jalan Indah 1/11C
|
RM 670,000
|
RM 396
|
1,690 sqft
|
|
|
Jalan Indah 2/2
|
RM 900,000
|
RM 332
|
2,713 sqft
|
|
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Market Snapshot
RM 525,000
RM 396 psfMedian transaction price
RM 900,000
RM 332 psfMedian transaction price
Taman Universiti Indah, Seri Kembangan, Selangor, Malaysia
MapsTaman Universiti Indah in Petaling, Selangor recorded 8 subsale transactions in 2025, with a median price of RM 575K and a median price per square foot (PSF) of RM 383.
This area contains both residential and commercial properties. View 114 residential properties or 17 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 575K, with most transactions falling within a stable range of RM 361K to RM 789K, and a typical market range of RM 430K to RM 720K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 383, though individual units vary from RM 268 to RM 499 in the core range. The broader market spans RM 290.15 to RM 476.15, indicating diverse property characteristics. A wider spread (IQR: RM 186.00) and deviation (MAD: RM 116) 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.