| LIST.MY · Taman Sri Rompin | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Km 12 Bahau/Rompin
|
RM180,000
|
RM83
|
2,164 sqft
|
|
LC House |
| 2023 | |||||
|
Km 12 Bahau/Rompin
|
RM160,000
|
RM74
|
2,153 sqft
|
|
LC House |
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Nearby areas in Rompin
Bandar Ioi Bahau
Taman Melia, Bandar Ioi Bahau
Taman Sri Rompin
Taman Areca Bandar Ioi
Taman Megah (Bahau)
Kampung Baru Cina Bahau
Taman Medang
Taman Mahsan Height
Taman Margosa Maju
Taman Industri Bahau
Pusat Perindustrian Balau, Bandar Ioi
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
ResidentialRM170,000
RM79 psfMedian transaction price
Taman Sri Rompin, 85300 Rompin, Negeri Sembilan, Malaysia
MapsTaman Sri Rompin in Jempol, Negeri Sembilan recorded 2 subsale transactions between 2021 and 2026, sized between 2,125 and 2,174 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM79.
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 RM170K, with most transactions falling within a stable range of RM160K to RM180K, and a typical market range of RM160K to RM180K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM79, with most transactions between RM74 and RM83. The usual range is RM65.26 to RM92.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM27.00 and an average deviation (MAD) of RM4 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.