Property Type
| LIST.MY · Taman Nilai Perdana | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Level G
|
RM130,000
|
RM87
|
1,500 sqft
|
|
Shop |
| 2022 | |||||
|
Persiaran Nilai Perdana 1
|
RM260,000
|
RM174
|
1,496 sqft
|
|
Terrace |
| 2021 | |||||
|
Persiaran Nilai Perdana 1
|
RM300,000
|
RM201
|
1,496 sqft
|
|
Terrace |
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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
ResidentialRM280,000
RM187 psfMedian transaction price
Taman Nilai Perdana, 71800 Nilai, Negeri Sembilan, Malaysia
MapsTaman Nilai Perdana in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,475 and 1,524 sqft, with a median price of RM260K and a median price per square foot (PSF) of RM174.
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 RM260K, with most transactions falling within a stable range of RM187K to RM300K, and a typical market range of RM173K to RM300K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
Price per square foot shows a median of RM174, though individual units vary from RM125 to RM222 in the core range. The broader market spans RM120.78 to RM226.78, indicating diverse property characteristics. A wider spread (IQR: RM106.00) and deviation (MAD: RM49) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.