| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sri Puteri 2
|
RM90,000
|
RM39
|
2,336 sqft
|
|
|
Jalan Kampung Nelayan
|
RM150,000
|
RM39
|
3,821 sqft
|
|
|
Jalan Sungai Puteri 8
|
RM180,000
|
RM39
|
4,585 sqft
|
|
Selling in Pakr Taman Sri Rompin? Homes here sold for a median of RM150,000.
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Nearby areas in Rompin
Taman Nusa Puteri
Pecahan Lot 1280, Kampung Kolam
Impiana Rompin
Pakr Taman Sri Rompin
Pec Lot 1070 Taman Orkid
Pec Lot Pt 5502 & Pt 5503 Taman Aman Jaya
P/Lot 958
Taman Bahagia Jaya
Pakr Sungai. Putri
Impiana Rompin (P/L 1027)
P/Lot 1060 Per Kampung Kolam Jaya
Pec Lot 2701
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 Rompin
Market Snapshot
ResidentialRM150,000
RM39 psfMedian transaction price
Pakr Taman Sri Rompin in Rompin, Pahang recorded 3 subsale transactions in 2022, with a median price of RM150K and a median price per square foot (PSF) of RM39.
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 RM150K, with most transactions falling within a stable range of RM113K to RM180K, and a typical market range of RM127K to RM173K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM39, with most transactions between RM39 and RM40. The usual range is RM35.50 to RM43.00, showing that most units are priced quite close to each other. A typical spread (IQR) of RM7.50 and an average deviation (MAD) of RM0 indicate a highly stable PSF trend across properties.
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.