Taman Seri Delima ( P/L 5305 & 5306)

Perak, Manjung, Lumut

Property Transactions

9 subsales grouped by size

Median
RM270,000
PSF
RM186
Period
transactions middle 50% (P25–P75)
1,350 sqft
Terrace
RM245,000
Jalan Seri Delima 2
1,345 sqft · RM182 PSF
1,400 sqft
Terrace
RM280,000
Jalan Seri Delima 1
1,399 sqft · RM200 PSF
RM270,000
Jalan Seri Delima 1
1,399 sqft · RM193 PSF
RM280,000
Jalan Seri Delima 1
1,399 sqft · RM200 PSF
RM260,000
Jalan Seri Delima 1
1,399 sqft · RM186 PSF
RM250,000
Jalan Seri Delima 1
1,399 sqft · RM179 PSF
RM210,000
Jalan Seri Delima 1
1,399 sqft · RM150 PSF
RM290,000
Jalan Seri Delima 1
1,399 sqft · RM207 PSF
3,050 sqft
Terrace
RM420,000
Jalan Seri Delima 1
3,068 sqft · RM137 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM270,000

RM186 psf

Median transaction price

Taman Seri Delima ( P/L 5305 & 5306) in Manjung, Perak recorded 9 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM186.

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 RM270K, with most transactions falling within a stable range of RM250K to RM290K, and a typical market range of RM255K to RM285K.

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

For price per square foot, the median is RM186, with most transactions between RM172 and RM200. The usual range is RM175.31 to RM196.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM14 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.