Taman Sri Wangsa

83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 322,500
PSF
RM 233
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM 150,000
Taman Sri Wangsa 14/A
770 sqft · RM 195 PSF
RM 165,000
Jalan Sri Wangsa Utama
770 sqft · RM 214 PSF
RM 158,000
Jalan Sri Wangsa 7
770 sqft · RM 205 PSF
1,900 sqft
2-Sty Terrace
RM 480,000
Jalan Sri Wangsa 13
1,905 sqft · RM 252 PSF
5,400 sqft
Bungalow
RM 1,400,000
Jalan Sri Wangsa 16
5,398 sqft · RM 259 PSF
5,450 sqft
Bungalow
RM 1,380,000
Jalan Sri Wangsa 16
5,446 sqft · RM 253 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 322,500

RM 233 psf

Median transaction price

Taman Sri Wangsa
© OpenStreetMap · CARTO

Taman Sri Wangsa, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Wangsa in Batu Pahat, Johor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 323K and a median price per square foot (PSF) of RM 233.

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 323K, with most transactions falling within a stable range of RM 150K to RM 877K, and a typical market range of RM 168K to RM 477K.

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

The median PSF stands at RM 233, with core pricing between RM 207 and RM 259. Market pricing typically extends from RM 197.00 to RM 269.25, reflecting moderate variation in unit pricing. With an IQR of RM 72.25 and MAD of RM 26, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.