Taman Universiti Indah
Seri Kembangan, Selangor, Malaysia
Seri Kembangan, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Indah 1/20
|
RM 390,000
|
RM 471
|
829 sqft
|
|
|
|
Jalan Indah 1/18
|
RM 450,000
|
RM 543
|
829 sqft
|
|
|
|
Jalan Indah 1/14
|
RM 360,000
|
RM 434
|
829 sqft
|
|
|
|
Jalan Indah 1/18
|
RM 450,000
|
RM 543
|
829 sqft
|
|
|
|
Jalan Indah 1/26
|
RM 400,000
|
RM 483
|
829 sqft
|
|
|
|
Jalan Indah 1/20
|
RM 350,000
|
RM 422
|
829 sqft
|
|
|
|
Jalan Indah 1/18
|
RM 310,000
|
RM 374
|
829 sqft
|
|
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Market Snapshot
RM 390,000
RM 471 psfMedian transaction price
RM 1,000,000
RM 585 psfMedian transaction price
Taman Universiti Indah, Seri Kembangan, Selangor, Malaysia
MapsTaman Universiti Indah in Petaling, Selangor recorded 7 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 390K and a median price per square foot (PSF) of RM 471.
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 390K, with most transactions falling within a stable range of RM 342K to RM 438K, and a typical market range of RM 310K to RM 450K.
Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 471, with core pricing between RM 413 and RM 529. Market pricing typically extends from RM 378.00 to RM 564.00, reflecting moderate variation in unit pricing. With an IQR of RM 186.00 and MAD of RM 58, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.