Senibong Hill @ Bukit Senibong

Jln Bukit Senibong, 81750, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 1,800,000
PSF
RM 968
Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
2-Sty Terrace
RM 1,750,000
Jalan Bukit Senibong
1,808 sqft · RM 968 PSF
RM 2,160,000
Jalan Bukit Senibong
1,808 sqft · RM 1,194 PSF
2,450 sqft
2-Sty Terrace
RM 1,800,000
Blok 2, Jalan Bukit Senibong
2,433 sqft · RM 740 PSF
RM 1,700,000
Jalan Bukit Senibong
2,433 sqft · RM 699 PSF
RM 2,560,000
Jalan Bukit Senibong
2,433 sqft · RM 1,052 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,800,000

RM 968 psf

Median transaction price

Senibong Hill @ Bukit Senibong
© OpenStreetMap · CARTO

Jln Bukit Senibong, 81750, Johor Darul Ta'zim, Malaysia

Maps

Senibong Hill @ Bukit Senibong in Johor Bahru, Johor recorded 5 subsale transactions in 2024, with a median price of RM 1.80 million and a median price per square foot (PSF) of RM 968.

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 1.80 million, with most transactions falling within a stable range of RM 1.70 million to RM 2.13 million, and a typical market range of RM 1.70 million to RM 2.13 million.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 968, with core pricing between RM 780 and RM 1,155. Market pricing typically extends from RM 928.74 to RM 1,006.74, reflecting moderate variation in unit pricing. The spread of RM 78.00 (IQR) and deviation of RM 188 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.