Taman Universiti Indah

Seri Kembangan, Selangor, Malaysia

Property Transactions

19 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM700,000
Jalan Indah 1/4
1,399 sqft · RM500 PSF
RM450,000
Jalan Indah 1/6
1,399 sqft · RM322 PSF
RM560,000
Jalan Indah 1/10
1,399 sqft · RM400 PSF
RM588,000
Jalan Indah 1/10
1,399 sqft · RM420 PSF
RM622,000
Jalan Indah 1/10
1,399 sqft · RM445 PSF
RM600,000
Jalan Indah 2/11
1,389 sqft · RM432 PSF
+13 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM598,000

RM427 psf

Median transaction price

RM1,000,000

RM585 psf

Median transaction price

Taman Universiti Indah
© OpenStreetMap · CARTO

Taman Universiti Indah, Seri Kembangan, Selangor, Malaysia

Maps

Taman Universiti Indah in Petaling, Selangor recorded 19 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM598K and a median price per square foot (PSF) of RM427.

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 RM598K, with most transactions falling within a stable range of RM523K to RM673K, and a typical market range of RM453K to RM743K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM427, with core pricing between RM373 and RM482. Market pricing typically extends from RM334.35 to RM520.35, reflecting moderate variation in unit pricing. With an IQR of RM186.00 and MAD of RM55, 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.