| Road | Price | PSF | Size | Date | Type |
|---|
|
PPAM Rompin 2 (Pt4859)
|
RM192,000
|
RM64
|
2,992 sqft
|
|
Selling in PPAM Rompin 2 (Pt4859)? Homes here sold for a median of RM192,000.
Free to list, about two minutes, and the buyers reading this page will see it.
Posts about PPAM Rompin 2 (Pt4859)
No posts about PPAM Rompin 2 (Pt4859) yet. Be the first to share what’s happening here.
Nearby areas in Pontian
PPAM Rompin 2 (Pt4859)
Rompin Permai 2 (Pec Lot 2202)
P/Lot 821 Taman Sepakat Murni
Ppr(M) Kampung Parit Raja
Perumahan Rompin Permai
P/Lot 5046 (Lot 26209) Taman Sepakat Murni
Taman Rompin Makmur
Sepakat
Kampung Kolam
P/Lot 5046 (Lot 26209) Kuala Rompin
Taman Sepakat Harmoni
PPAM Rompin 1 & 2, Pec Lot 1935(Pt4859)
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 Pontian
Market Snapshot
ResidentialRM192,000
RM64 psfMedian transaction price
PPAM Rompin 2 (Pt4859) in Rompin, Pahang recorded 1 subsale transactions between 2021 and 2026, sized between 2,975 and 3,024 sqft, with a median price of RM192K and a median price per square foot (PSF) of RM64.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM64, with most transactions between RM64 and RM64. The usual range is RM57.41 to RM70.91, showing that most units are priced quite close to each other. A typical spread (IQR) of RM13.50 and an average deviation (MAD) of RM0 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.