Taman Indah Mas

No 125, Taman Indah Mas, 71000 Port Dickson, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM210,000
Jalan Seremban,Batu 2 1/2
1,195 sqft · RM176 PSF
RM200,000
Batu. 2 1/2, Jalan Seremban
1,195 sqft · RM167 PSF
RM183,000
Jalan S'ban - Pd
1,195 sqft · RM153 PSF
1,300 sqft
2-Sty Terrace
RM320,000
Off Km 28 Jalan Seremban/Pd
1,313 sqft · RM244 PSF
RM235,000
Taman Indah Mas
1,313 sqft · RM179 PSF
2,000 sqft
Terrace
RM270,000
Off Batu. 2 1/2
1,991 sqft · RM136 PSF
5,900 sqft
Bungalow
RM785,000
Jalan Tim 1
5,920 sqft · RM133 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM235,000

RM167 psf

Median transaction price

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No 125, Taman Indah Mas, 71000 Port Dickson, Negeri Sembilan, Malaysia

Maps

Taman Indah Mas in Port Dickson, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM167.

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 RM235K, with most transactions falling within a stable range of RM200K to RM270K, and a typical market range of RM190K to RM280K.

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

The median PSF stands at RM167, with core pricing between RM137 and RM197. Market pricing typically extends from RM146.39 to RM188.39, reflecting moderate variation in unit pricing. The spread of RM42.00 (IQR) and deviation of RM30 (MAD) suggest moderate price variations reflecting different property features.

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.