Taman Sri Lalang

15, Jln Bunga Raya 7, Kampung Seri Lalang, 86000 Kluang, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size · LC House →

Median
RM 207,500
PSF
RM 217
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM 195,000
Jalan Bunga Raya 9
700 sqft · RM 279 PSF
RM 180,000
Jalan Bunga Raya 7
700 sqft · RM 257 PSF
1,550 sqft
Terrace
RM 220,000
Jalan Bunga Raya 10
1,539 sqft · RM 143 PSF
1,750 sqft
Terrace
RM 312,000
Jalan Bunga Raya 4
1,765 sqft · RM 177 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 207,500

RM 217 psf

Median transaction price

Taman Sri Lalang
© OpenStreetMap · CARTO

Taman Sri Lalang, 15, Jln Bunga Raya 7, Kampung Seri Lalang, 86000 Kluang, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Lalang in Batu Pahat, Johor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 208K and a median price per square foot (PSF) of RM 217.

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 208K, with most transactions falling within a stable range of RM 180K to RM 259K, and a typical market range of RM 180K to RM 240K.

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

Price per square foot shows a median of RM 217, though individual units vary from RM 161 to RM 273 in the core range. The broader market spans RM 167.00 to RM 267.00, indicating diverse property characteristics. A wider spread (IQR: RM 100.00) and deviation (MAD: RM 56) indicate significant PSF variations, likely due to diverse property types or conditions.

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.