| Road | Price | PSF | Size | Date | Type |
|---|
|
Batu 2 Jalan Seremban-Pd
|
RM350,000
|
RM171
|
2,045 sqft
|
|
|
Batu 2 Jalan Seremban-Pd
|
RM415,000
|
RM132
|
3,143 sqft
|
|
Posts about Taman Sri Intan [Taman Perdana]
No posts about Taman Sri Intan [Taman Perdana] yet. Be the first to share what’s happening here.
Nearby areas in Pekan Port Dickson
Glory Beach Resort
The Legend International Water Homes
Taman Impian Putra (Taman Crystal)
Taman Tanjung
Taman Impian Putra
Taman Pd Amanria
Taman Pantai Mas
Taman Indah Mas
Taman Pd Jasmin
Taman Nlfcs
Taman Ria (Pd)
Taman Orkid (Port Dickson)
Taman Sri Intan [Taman Perdana]
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Port Dickson
Kampung Ayer Meleleh, 71000 Port Dickson, Negeri Sembilan, Malaysia
MapsTaman Sri Intan [Taman Perdana] in Port Dickson, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, with a median price of RM383K and a median price per square foot (PSF) of RM171.
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 RM383K, with most transactions falling within a stable range of RM350K to RM415K, and a typical market range of RM366K to RM399K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
The median PSF stands at RM171, with core pricing between RM152 and RM191. Market pricing typically extends from RM161.25 to RM180.75, reflecting moderate variation in unit pricing. With an IQR of RM19.50 and MAD of RM20, the PSF demonstrates reasonable consistency across the market.
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.