Taman Bukit Nibong

Rumah Pangsa Taman Bukit Nibong, Jalan Acasia 14, C, 70400 Seremban, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size · LC Flat →

Median
RM 110,000
PSF
RM 169
Price Size
650 sqft
LC Flat
RM 75,000
Level 3
646 sqft · RM 116 PSF
RM 110,000
Level 2
646 sqft · RM 170 PSF
2,400 sqft
Semi-D
RM 405,000
Jalan Nibong 1, Seremban
2,400 sqft · RM 169 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Bukit Nibong

NO. 31, JALAN NIBONG 1, TAMAN BUKIT NIBONG, 70400, SEREMBAN, Negeri Sembilan
Type Reserve Price Cluster RM 340,200
PSF Size Auction Date RM 141.75 2,400 sqft 30 Jul 2026

Market Snapshot

Residential

RM 110,000

RM 169 psf

Median transaction price

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Rumah Pangsa Taman Bukit Nibong, Jalan Acasia 14, C, 70400 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bukit Nibong in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, with a median price of RM 110K and a median price per square foot (PSF) of RM 169.

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 RM 110K, with most transactions falling within a stable range of RM 75K to RM 258K, and a typical market range of RM 75K to RM 273K.

Most transactions involved low-cost flat, though some variety exists in the market.

The median PSF stands at RM 169, with core pricing between RM 144 and RM 194. Market pricing typically extends from RM 142.11 to RM 195.36, reflecting moderate variation in unit pricing. With an IQR of RM 53.25 and MAD of RM 25, 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.