| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nesa Delima 3
|
RM395,000
|
RM153
|
2,583 sqft
|
|
|
Jalan Nesa Delima 1
|
RM410,000
|
RM147
|
2,799 sqft
|
|
|
|
Jalan Nesa Delima 2
|
RM402,000
|
RM143
|
2,809 sqft
|
|
|
|
Jalan Nesa Delima 2
|
RM402,000
|
RM143
|
2,820 sqft
|
|
|
|
Jalan Nesa Delima 1
|
RM402,000
|
RM143
|
2,809 sqft
|
|
|
|
Jalan Nesa Delima 2
|
RM402,000
|
RM143
|
2,820 sqft
|
|
|
|
Jalan Nesa Delima 1
|
RM401,000
|
RM143
|
2,799 sqft
|
|
|
Jalan Nesa Delima 1
|
RM377,000
|
RM96
|
3,929 sqft
|
|
Selling in Taman Nesa Delima? Homes here sold for a median of RM402,000.
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Taman Nesa Delima
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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 Rantau
Market Snapshot
ResidentialRM402,000
RM143 psfMedian transaction price
Taman Nesa Delima, 71200 Rantau, Negeri Sembilan, Malaysia
MapsTaman Nesa Delima in Seremban, Negeri Sembilan recorded 17 subsale transactions between 2021 and 2026, with a median price of RM402K and a median price per square foot (PSF) of RM143.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM402K, with most transactions falling within a stable range of RM388K to RM410K, and a typical market range of RM376K to RM410K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM143, with most transactions between RM131 and RM155. The usual range is RM133.59 to RM152.59, showing that most units are priced quite close to each other. A typical spread (IQR) of RM19.00 and an average deviation (MAD) of RM12 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.