Taman Sejati

Perak, Manjung, Sitiawan

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Terrace
RM330,000
Lorong Sejati 2
1,647 sqft · RM200 PSF
RM335,000
Lorong Sejati 2
1,668 sqft · RM201 PSF
RM310,000
Lorong Sejati 9
1,668 sqft · RM186 PSF
RM255,000
Jalan Sitiawan
1,647 sqft · RM155 PSF
RM350,000
Jalan Lumut
1,647 sqft · RM213 PSF
RM300,000
Taman Sejati 1
1,647 sqft · RM182 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM300,000

RM182 psf

Median transaction price

RM600,000

RM429 psf

Median transaction price

Taman Sejati
© OpenStreetMap · CARTO

Taman Sejati, Manjung, Perak

Taman Sejati in Manjung, Perak recorded 9 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM182.

This area contains both residential and commercial properties. View 20 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM270K to RM330K, and a typical market range of RM255K to RM350K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM182, with most transactions between RM164 and RM200. The usual range is RM150.66 to RM213.66, showing that most units are priced quite close to each other. With an IQR of RM63.00 and MAD of RM18, 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.