Taman Bkt Inai

Taman Bukit Inai, Nilai, Negeri Sembilan, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Flat
RM230,000
Level 1
772 sqft · RM298 PSF
800 sqft
Flat
RM220,000
Level 4
797 sqft · RM276 PSF
RM245,000
Level G
799 sqft · RM307 PSF
RM230,000
Level 2
799 sqft · RM288 PSF
RM240,000
Level 3
814 sqft · RM295 PSF
RM240,000
Level G
797 sqft · RM301 PSF
RM240,000
Level 1
797 sqft · RM301 PSF
RM200,000
Level 2
799 sqft · RM250 PSF
850 sqft
Flat
RM220,000
Level 2
842 sqft · RM261 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM230,000

RM295 psf

Median transaction price

Taman Bkt Inai
© OpenStreetMap · CARTO

Taman Bukit Inai, Nilai, Negeri Sembilan, Malaysia

Maps

Taman Bkt Inai in Seremban, Negeri Sembilan recorded 9 Flat properties subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM295.

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 RM230K, with most transactions falling within a stable range of RM217K to RM243K, and a typical market range of RM200K to RM245K.

Within the Flat category, flats dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM295, with most transactions between RM276 and RM313. The usual range is RM270.06 to RM319.56, showing that most units are priced quite close to each other. A typical spread (IQR) of RM49.50 and an average deviation (MAD) of RM19 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.