Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Permata 4/1
|
RM650,000
|
RM265
|
2,454 sqft
|
|
|
|
Lorong Permata 4/1
|
RM650,000
|
RM265
|
2,454 sqft
|
|
|
Lorong Permata 5/1
|
RM600,000
|
RM219
|
2,745 sqft
|
|
|
|
Lorong Permata 5/1
|
RM660,000
|
RM240
|
2,745 sqft
|
|
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Auction Properties
1 auction properties in Taman Permata
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Taman Permata
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 Seremban
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Market Snapshot
RM230,000
RM191 psfMedian transaction price
RM650,000
RM253 psfMedian transaction price
Taman Permata, 70200 Seremban, Negeri Sembilan, Malaysia
MapsTaman Permata in Seremban, Negeri Sembilan recorded 4 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM650K and a median price per square foot (PSF) of RM253.
This area contains both residential and commercial properties. View 9 residential properties or 4 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM650K, with most transactions falling within a stable range of RM627K to RM660K, and a typical market range of RM600K to RM660K.
Within the Double Storey Shop category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM253, with most transactions between RM233 and RM272. The usual range is RM142.66 to RM362.66, showing that most units are priced quite close to each other. With an IQR of RM220.00 and MAD of RM19, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.