Taman Singa Baru (P/L 10230)

Perak, Manjung, Sitiawan

Property Transactions

11 subsales found

Period
transactions middle 50% (P25–P75)
RM180,000
Lorong Singa Baru 2/3
1,302 sqft RM138 PSF
RM305,000
Lorong Singa Baru 2/3
1,302 sqft RM234 PSF
RM250,000
Lorong Singa Baru 2
1,399 sqft RM179 PSF
RM298,000
Lorong Singa Baru 2/3
1,302 sqft RM229 PSF
RM230,000
Lorong Singa Baru 2/8
1,399 sqft RM164 PSF
RM400,000
Lorong Singa Baru 2/2
2,971 sqft RM135 PSF
RM260,000
Lorong Singa Baru 2/8
1,399 sqft RM186 PSF
RM210,000
Lorong Singa Baru 2/4
1,195 sqft RM176 PSF
RM270,000
Lorong Singa Baru 2/7
2,002 sqft RM135 PSF
RM225,000
Lorong Singa Baru 2/4
1,195 sqft RM188 PSF
RM270,000
Lorong Singa Baru 2/7
2,002 sqft RM135 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM260,000

RM180 psf

Median transaction price

Taman Singa Baru (P/L 10230) in Manjung, Perak recorded 11 subsale transactions between 2021 and 2026, with a median price of RM260K and a median price per square foot (PSF) of RM176.

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 RM260K, with most transactions falling within a stable range of RM225K to RM295K, and a typical market range of RM232K to RM288K.

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

For price per square foot, the median is RM176, with most transactions between RM168 and RM184. The usual range is RM167.26 to RM184.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM8 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.