Jalan Sitiawan - Batu Undan

Perak, Manjung, Lumut

Property Transactions

15 subsales found

Median
RM330,000
PSF
RM111
Price Size
Period
transactions middle 50% (P25–P75)
RM298,000
Jalan Damar Laut 1
2,928 sqft RM102 PSF
RM330,000
Batu Tiga
2,971 sqft RM111 PSF
RM330,000
Batu Tiga
2,939 sqft RM112 PSF
RM298,000
Batu Tiga
2,928 sqft RM102 PSF
RM330,000
Batu Tiga
2,939 sqft RM112 PSF
RM290,000
Batu Tiga
2,960 sqft RM98 PSF
RM290,000
Batu 3
2,971 sqft RM98 PSF
RM330,000
Batu Tiga
2,971 sqft RM111 PSF
RM330,000
Batu Tiga
2,928 sqft RM113 PSF
RM298,000
Batu Tiga
2,971 sqft RM100 PSF
RM330,000
Batu Tiga
2,971 sqft RM111 PSF
RM330,000
Batu Tiga
2,949 sqft RM112 PSF
RM330,000
Batu Tiga
2,939 sqft RM112 PSF
RM330,000
Batu Tiga
2,960 sqft RM111 PSF
RM280,000
Batu Tiga
2,949 sqft RM95 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM330,000

RM111 psf

Median transaction price

Jalan Sitiawan - Batu Undan in Manjung, Perak recorded 15 subsale transactions between 2021 and 2026, sized between 2,925 and 2,974 sqft, with a median price of RM330K and a median price per square foot (PSF) of RM111.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM330K, with most transactions falling within a stable range of RM311K to RM330K, and a typical market range of RM314K to RM330K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM111, with most transactions between RM105 and RM118. The usual range is RM106.08 to RM116.08, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.00 and an average deviation (MAD) of RM6 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.