Bandar Baru Segari

Lumut, Manjung, Perak, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM295,000
Bandar Baru Manjung 2
1,399 sqft · RM211 PSF
RM295,000
Bandar Baru Manjung 2
1,399 sqft · RM211 PSF
RM305,000
Bandar Baru Manjung 2
1,399 sqft · RM218 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

2 auction properties in Bandar Baru Segari

NO. 258, PERSIARAN PRESINT 1/11, PRESINT 1, BANDAR BARU SEGARI, 32200, LUMUT, Perak
Type Reserve Price Cluster RM330,000
PSF Size Auction Date RM157.22 2,099 sqft 09 Sep 2026
NO. 137, PERSIARAN PRESINT 1/8, PRESINT 1, BANDAR BARU SEGARI, 32200, LUMUT, Perak
Type Reserve Price Cluster RM330,000
PSF Size Auction Date RM157.22 2,099 sqft 27 Aug 2026

Market Snapshot

Residential

RM295,000

RM211 psf

Median transaction price

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BANDAR BARU SEGARI, Lumut, Manjung, Perak, Malaysia

Bandar Baru Segari in Manjung, Perak recorded 3 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM295K and a median price per square foot (PSF) of RM211.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Within the Single Storey Terraced category, cluster house dominated the market, with minimal variety in property types.

For price per square foot, the median is RM211, with most transactions between RM207 and RM214. The usual range is RM210.20 to RM211.45, showing that most units are priced quite close to each other. A typical spread (IQR) of RM1.25 and an average deviation (MAD) of RM3 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.