Taman Acbe

72100 Bahau, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 300,000
PSF
RM 160
Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM 240,000
Jalan Sejahtera 6
1,760 sqft · RM 136 PSF
1,850 sqft
Terrace
RM 300,000
Off Pekan Bahau
1,870 sqft · RM 160 PSF
1,900 sqft
Terrace
RM 400,000
Lorong. Sejahtera 3
1,904 sqft · RM 210 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Acbe

What’s happening in Taman Acbe?

No posts about Taman Acbe yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 300,000

RM 160 psf

Median transaction price

Taman Acbe
© OpenStreetMap · CARTO

Taman Acbe, 72100 Bahau, Negeri Sembilan, Malaysia

Maps

Taman Acbe in Jempol, Negeri Sembilan recorded 3 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 300K and a median price per square foot (PSF) of RM 160.

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 300K, with most transactions falling within a stable range of RM 240K to RM 366K, and a typical market range of RM 240K to RM 398K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM 160, with core pricing between RM 130 and RM 191. Market pricing typically extends from RM 140.20 to RM 180.70, reflecting moderate variation in unit pricing. The spread of RM 40.50 (IQR) and deviation of RM 31 (MAD) suggest moderate price variations reflecting different property features.

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.