Bandar Universiti

31750 Seri Iskandar, Perak, Malaysia

Property Transactions

16 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM250,000
Jalan Bandar Universiti 21
1,679 sqft · RM149 PSF
RM190,000
Jalan Bandar U21
1,679 sqft · RM113 PSF
RM330,000
Susur Bandar U5
1,701 sqft · RM194 PSF
RM260,000
Jalan Bandar Universiti 17
1,679 sqft · RM155 PSF
RM200,000
Jalan Bandar Universiti 21
1,679 sqft · RM119 PSF
RM250,000
Jalan Bandar U 21
1,679 sqft · RM149 PSF
+10 more
Legend Recent Highest Price Highest PSF

Selling in Bandar Universiti? Homes here sold for a median of RM230,000.

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Market Snapshot

RM230,000

RM137 psf

Median transaction price

RM500,000

RM304 psf

Median transaction price

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Bandar Universiti, 31750 Seri Iskandar, Perak, Malaysia

Maps

Bandar Universiti in Perak Tengah, Perak recorded 16 subsale transactions between 2021 and 2026, sized between 1,675 and 1,724 sqft, with a median price of RM230K and a median price per square foot (PSF) of RM137.

This area contains both residential and commercial properties. View 327 residential properties or 7 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM230K, with most transactions falling within a stable range of RM191K to RM269K, and a typical market range of RM209K to RM251K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM137, with core pricing between RM114 and RM159. Market pricing typically extends from RM113.93 to RM159.93, reflecting moderate variation in unit pricing. The spread of RM46.00 (IQR) and deviation of RM22 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.