Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level G
|
RM90,000
|
RM129
|
700 sqft
|
|
|
|
Level 1
|
RM85,000
|
RM121
|
700 sqft
|
|
|
|
Level 3
|
RM65,000
|
RM93
|
700 sqft
|
|
|
|
Level 1
|
RM90,000
|
RM132
|
680 sqft
|
|
|
|
Level 4
|
RM60,000
|
RM86
|
700 sqft
|
|
|
|
Level 1
|
RM85,000
|
RM121
|
700 sqft
|
|
Selling in Taman Nilai Perdana? Homes here sold for a median of RM76,500.
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Taman Nilai Perdana
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 Labu
Market Snapshot
ResidentialRM76,500
RM111 psfMedian transaction price
Taman Nilai Perdana, 71800 Nilai, Negeri Sembilan, Malaysia
MapsTaman Nilai Perdana in Seremban, Negeri Sembilan recorded 10 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM77K and a median price per square foot (PSF) of RM111.
This area contains both residential and commercial properties. View 64 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM77K, with most transactions falling within a stable range of RM66K to RM87K, and a typical market range of RM60K to RM90K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
The median PSF stands at RM111, with core pricing between RM96 and RM126. Market pricing typically extends from RM57.82 to RM163.82, reflecting moderate variation in unit pricing. With an IQR of RM106.00 and MAD of RM15, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.