Taman Sri Senai

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

Property Transactions

12 subsales grouped by size

Median
RM 280,000
PSF
RM 343
Price Size
750 sqft
LC House
RM 280,000
Jalan Sawi 8
728 sqft · RM 385 PSF
RM 280,000
Jalan Sawi 5
770 sqft · RM 364 PSF
RM 280,000
Jalan Sawi 8
728 sqft · RM 385 PSF
RM 250,000
Jalan Sawi 8
728 sqft · RM 343 PSF
RM 300,000
Jalan Sawi 5
770 sqft · RM 390 PSF
RM 290,000
Jalan Sawi 10
770 sqft · RM 377 PSF
+3 more
1,000 sqft
1-Sty Shop
RM 250,000
Jalan Sawi 3
1,012 sqft · RM 247 PSF
1,550 sqft
Terrace
RM 330,000
Jalan Sawi 2/5
1,540 sqft · RM 214 PSF
RM 300,000
Jalan Sawi 2/5
1,539 sqft · RM 195 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 280,000

RM 343 psf

Median transaction price

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

Maps

Taman Sri Senai in Kulai, Johor recorded 12 subsale transactions in 2023, with a median price of RM 280K and a median price per square foot (PSF) of RM 343.

This area contains both residential and commercial properties. View 21 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 280K, with most transactions falling within a stable range of RM 255K to RM 305K, and a typical market range of RM 250K to RM 323K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM 343, with core pricing between RM 278 and RM 409. Market pricing typically extends from RM 271.93 to RM 414.93, reflecting moderate variation in unit pricing. The spread of RM 143.00 (IQR) and deviation of RM 65 (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.