Taman Universiti Indah

Seri Kembangan, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 444,000
PSF
RM 379
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Flat
RM 220,000
Level 4
818 sqft · RM 269 PSF
850 sqft
LC House
RM 390,000
Jalan Indah 1/20
829 sqft · RM 471 PSF
1,100 sqft
2-Sty Terrace
RM 498,000
Jalan Indah 1/21
1,076 sqft · RM 463 PSF
3,500 sqft
2-Sty Shop
RM 1,030,000
Jalan Indah 2/4
3,498 sqft · RM 294 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 390,000

RM 463 psf

Median transaction price

RM 1,030,000

RM 294 psf

Median transaction price

Taman Universiti Indah
© OpenStreetMap · CARTO

Taman Universiti Indah, Seri Kembangan, Selangor, Malaysia

Maps

Taman Universiti Indah in Petaling, Selangor recorded 4 subsale transactions in 2026, with a median price of RM 444K and a median price per square foot (PSF) of RM 379.

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 444K, with most transactions falling within a stable range of RM 220K to RM 747K, and a typical market range of RM 299K to RM 589K.

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 379, though individual units vary from RM 285 to RM 472 in the core range. The broader market spans RM 285.50 to RM 471.50, indicating diverse property characteristics. The spread of RM 186.00 (IQR) and deviation of RM 93 (MAD) suggest moderate price variations reflecting different property features.

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.