| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Sri Puteri 2
|
RM90,000
|
RM39
|
2,336 sqft
|
|
|
Lorong Sungai Puteri 12
|
RM26,000
|
RM9
|
2,777 sqft
|
|
|
|
Lorong Sungai Puteri 12
|
RM135,000
|
RM49
|
2,777 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 RM137,500.
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Nearby areas in Rompin
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P/Lot 958
Taman Bahagia Jaya
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Impiana Rompin (P/L 1027)
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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
ResidentialRM137,500
RM39 psfMedian transaction price
Pakr Taman Sri Rompin in Rompin, Pahang recorded 6 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM138K 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 RM138K, with most transactions falling within a stable range of RM88K to RM180K, and a typical market range of RM114K to RM161K.
Within the Low-Cost House category, low-cost house dominated the market, with minimal variety in property types.
Price per square foot shows a median of RM39, though individual units vary from RM24 to RM54 in the core range. The broader market spans RM35.50 to RM43.00, indicating diverse property characteristics. A wider spread (IQR: RM7.50) and deviation (MAD: RM15) indicate significant PSF variations, likely due to diverse property types or conditions.
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.