| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM48,000
|
RM52
|
930 sqft
|
|
Condo |
|
Level 3
|
RM47,000
|
RM51
|
930 sqft
|
|
Serviced Apt |
|
Level 2
|
RM60,000
|
RM65
|
930 sqft
|
|
Condo |
|
Level 2
|
RM60,000
|
RM65
|
930 sqft
|
|
Condo |
|
Level 1
|
RM40,000
|
RM41
|
973 sqft
|
|
Condo |
|
Level 13
|
RM70,000
|
RM69
|
1,020 sqft
|
|
|
|
Level 1
|
RM96,000
|
RM94
|
1,020 sqft
|
|
|
|
Level 3
|
RM55,000
|
RM54
|
1,020 sqft
|
|
|
|
Level 6
|
RM140,000
|
RM137
|
1,020 sqft
|
|
|
|
Level 5
|
RM43,000
|
RM42
|
1,020 sqft
|
|
|
|
Level 2
|
RM60,000
|
RM60
|
1,000 sqft
|
|
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Bandar Universiti Iii
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Setul
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Market Snapshot
ResidentialRM57,500
RM60 psfMedian transaction price
Setul, Negeri Sembilan, Malaysia
MapsBandar Universiti Iii in Seremban, Negeri Sembilan recorded 12 subsale transactions between 2021 and 2026, with a median price of RM58K and a median price per square foot (PSF) of RM60.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM58K, with most transactions falling within a stable range of RM46K to RM69K, and a typical market range of RM49K to RM66K.
Most transactions involved condominium/apartment, though some variety exists in the market.
The median PSF stands at RM60, with core pricing between RM52 and RM69. Market pricing typically extends from RM53.03 to RM67.28, reflecting moderate variation in unit pricing. With an IQR of RM14.25 and MAD of RM9, 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.