| LIST.MY · Taman Desa Jasmin ( Bbn ) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Bbn 5/4C
|
RM339,000
|
RM203
|
1,668 sqft
|
|
Terrace |
| 2023 | |||||
|
Jalan Bbn 5/3G
|
RM350,000
|
RM215
|
1,625 sqft
|
|
Terrace |
| 2022 | |||||
|
Jalan Bbn 9/3
|
RM400,000
|
RM241
|
1,658 sqft
|
|
Terrace |
Selling in Taman Desa Jasmin ( Bbn )? Homes here sold for a median of RM350,000.
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Nearby areas in Bandar Nilai Utama Sek.1
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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 Bandar Nilai Utama Sek.1
Market Snapshot
ResidentialRM350,000
RM215 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsTaman Desa Jasmin ( Bbn ) in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,625 and 1,674 sqft, with a median price of RM350K and a median price per square foot (PSF) of RM215.
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 RM350K, with most transactions falling within a stable range of RM339K to RM377K, and a typical market range of RM339K to RM374K.
Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM215, with most transactions between RM199 and RM231. The usual range is RM199.34 to RM231.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.00 and an average deviation (MAD) of RM16 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.