Taman Linggi Idaman

71150 Linggi, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM314,000
PSF
RM164
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM270,000
Jalan Linggi Idaman 1
1,744 sqft · RM155 PSF
RM285,000
Jalan Linggi Idaman
1,744 sqft · RM163 PSF
1,900 sqft
Terrace
RM314,000
Jalan Linggi Idaman
1,916 sqft · RM164 PSF
RM314,000
Jalan Linggi Idaman 1
1,916 sqft · RM164 PSF
RM314,000
Jalan Linggi Idaman
1,916 sqft · RM164 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Linggi

Market Snapshot

Residential

RM314,000

RM164 psf

Median transaction price

Taman Linggi Idaman
© OpenStreetMap · CARTO

Taman Linggi Idaman, 71150 Linggi, Negeri Sembilan, Malaysia

Maps

Taman Linggi Idaman in Port Dickson, Negeri Sembilan recorded 5 subsale transactions in 2022, with a median price of RM314K and a median price per square foot (PSF) of RM164.

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 RM314K, with most transactions falling within a stable range of RM296K to RM314K, and a typical market range of RM303K to RM314K.

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

For price per square foot, the median is RM164, with most transactions between RM160 and RM167. The usual range is RM163.13 to RM164.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM1.50 and an average deviation (MAD) of RM4 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.