Taman Universiti

43000 Kajang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 790,000
PSF
RM 259
Price Size
Period
transactions middle 50% (P25–P75)
3,050 sqft
2-Sty Shop
RM 830,000
Jalan Universiti Bangi 1
3,046 sqft · RM 272 PSF
RM 750,000
Jalan Universiti Bangi 1
3,046 sqft · RM 246 PSF
RM 830,000
Jalan Universiti Bangi 1
3,046 sqft · RM 272 PSF
RM 750,000
Siber Squre Jalan Universiti
3,046 sqft · RM 246 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 524,500

RM 348 psf

Median transaction price

RM 790,000

RM 259 psf

Median transaction price

Average

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Taman Universiti
© OpenStreetMap · CARTO

Taman Universiti, 43000 Kajang, Selangor, Malaysia

Maps

Taman Universiti in Hulu Langat, Selangor recorded 4 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 790K and a median price per square foot (PSF) of RM 259.

This area contains both residential and commercial properties. View 14 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 790K, with most transactions falling within a stable range of RM 750K to RM 830K, and a typical market range of RM 750K to RM 830K.

Within the Double Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM 259, with most transactions between RM 246 and RM 272. The usual range is RM 209.84 to RM 308.84, showing that most units are priced quite close to each other. With an IQR of RM 99.00 and MAD of RM 13, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.