Taman Senai Baru

81400 Senai, Johor Darul Ta'zim, Malaysia

Property Transactions

10 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM300,000
Jalan Padi Malinja 6
1,760 sqft · RM170 PSF
RM490,000
Jalan Padi Malinja 6
1,760 sqft · RM278 PSF
RM268,000
Lorong Padi Mahsuri 3
1,760 sqft · RM152 PSF
RM378,000
Jalan Padi Malinja 6
1,755 sqft · RM215 PSF
RM380,000
Jalan Padi Malinja 6
1,760 sqft · RM216 PSF
RM360,000
Jalan Padi Malinja 1
1,760 sqft · RM205 PSF
+4 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM360,000

RM205 psf

Median transaction price

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Taman Senai Baru, 81400 Senai, Johor Darul Ta'zim, Malaysia

Maps

Taman Senai Baru in Kulai, Johor recorded 10 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM360K and a median price per square foot (PSF) of RM205.

This area contains both residential and commercial properties. View 18 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM360K, with most transactions falling within a stable range of RM299K to RM421K, and a typical market range of RM281K to RM439K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM205, with core pricing between RM170 and RM240. Market pricing typically extends from RM171.86 to RM237.86, reflecting moderate variation in unit pricing. The spread of RM66.00 (IQR) and deviation of RM35 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.