| LIST.MY · Taman Bkt Inai | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Bukit Inai 6
|
RM545,000
|
RM392
|
1,389 sqft
|
|
2-Sty Terrace |
|
Jalan Bukit Inai 6
|
RM547,000
|
RM394
|
1,389 sqft
|
|
2-Sty Terrace |
|
Jalan Bukit Inai 6
|
RM620,000
|
RM447
|
1,389 sqft
|
|
2-Sty Terrace |
|
Jalan Bukit Inai 6
|
RM542,000
|
RM390
|
1,389 sqft
|
|
2-Sty Terrace |
|
Jalan Bukit Inai 6
|
RM539,000
|
RM388
|
1,389 sqft
|
|
2-Sty Terrace |
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Taman Bkt Inai
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 Setul
Market Snapshot
ResidentialRM545,000
RM393 psfMedian transaction price
Taman Bukit Inai, Nilai, Negeri Sembilan, Malaysia
MapsTaman Bkt Inai in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM545K and a median price per square foot (PSF) of RM393.
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 RM545K, with most transactions falling within a stable range of RM539K to RM576K, and a typical market range of RM539K to RM620K.
Most transactions involved flats, with moderate diversity in property types available.
For price per square foot, the median is RM393, with most transactions between RM370 and RM415. The usual range is RM367.75 to RM417.25, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.50 and an average deviation (MAD) of RM22 indicate a highly stable PSF trend across properties.
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.