Taman Sejati Makmur

Perak, Manjung, Sitiawan

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,900 sqft
2-Sty Terrace
RM460,000
Jalan Sejati Makmur 3
1,916 sqft · RM240 PSF
RM474,000
Jalan Sejati Makmur 3
1,916 sqft · RM247 PSF
RM459,000
Jalan Sejati Makmur 3
1,916 sqft · RM240 PSF
RM459,000
Jalan Sejati Makmur 3
1,916 sqft · RM240 PSF
RM459,000
Jalan Sejati Makmur 3
1,916 sqft · RM240 PSF
4,000 sqft
Semi-D
RM859,000
Jalan Selati Makmur 3
4,004 sqft · RM215 PSF
RM859,000
Jalan Selati Makmur 3
4,004 sqft · RM215 PSF
RM859,000
Jalan Selati Makmur 3
3,993 sqft · RM215 PSF
8,100 sqft
Bungalow
RM1,099,000
Jalan Selati Makmur 3
8,116 sqft · RM135 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM474,000

RM270 psf

Median transaction price

Taman Sejati Makmur in Manjung, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM474K and a median price per square foot (PSF) of RM240.

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 RM474K, with most transactions falling within a stable range of RM459K to RM489K, and a typical market range of RM459K to RM674K.

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

For price per square foot, the median is RM240, with most transactions between RM231 and RM249. The usual range is RM212.06 to RM267.06, showing that most units are priced quite close to each other. With an IQR of RM55.00 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.