Taman Senai Jaya

81400 Senai, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 435,000
PSF
RM 276
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
2-Sty Terrace
RM 480,000
Jalan Senai Jaya 12
1,518 sqft · RM 316 PSF
1,550 sqft
Terrace
RM 430,000
Jalan Senai Jaya 1
1,539 sqft · RM 279 PSF
RM 350,000
Jalan Senai Jaya 1
1,540 sqft · RM 227 PSF
RM 420,000
Jalan Senai Jaya 1
1,539 sqft · RM 273 PSF
RM 440,000
Jalan Senai Jaya 1
1,540 sqft · RM 286 PSF
2,850 sqft
2-Sty Shop
RM 750,000
Jalan Senai Jaya 3
2,874 sqft · RM 261 PSF
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Market Snapshot

Residential

RM 430,000

RM 279 psf

Median transaction price

Average

Rental Yield Data

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

Maps

Taman Senai Jaya in Kulai, Johor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 435K and a median price per square foot (PSF) of RM 276.

This area contains both residential and commercial properties. View 59 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 435K, with most transactions falling within a stable range of RM 350K to RM 562K, and a typical market range of RM 350K to RM 526K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM 276, with most transactions between RM 249 and RM 303. The usual range is RM 221.50 to RM 330.50, showing that most units are priced quite close to each other. With an IQR of RM 109.00 and MAD of RM 27, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.