Taman Setia Jaya

83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM260,000
Jalan S/J 18
1,044 sqft · RM249 PSF
RM180,000
Jalan S/J 20
1,040 sqft · RM173 PSF
RM220,000
Jalan Rotan Batu
1,044 sqft · RM211 PSF
RM250,000
Jalan Setia Jaya 16
1,044 sqft · RM239 PSF
1,550 sqft
Terrace
RM280,000
Jalan Setia Jaya 6
1,539 sqft · RM182 PSF
RM400,000
Jalan S/J 12
1,539 sqft · RM260 PSF
RM413,000
Jalan Setia Jaya 10
1,539 sqft · RM268 PSF
RM370,000
Jalan S/J 3
1,539 sqft · RM240 PSF
3,650 sqft
Terrace
RM498,000
Jalan Setia Jaya 8
3,627 sqft · RM137 PSF
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Market Snapshot

Residential

RM280,000

RM239 psf

Median transaction price

Taman Setia Jaya
© OpenStreetMap · CARTO

Taman Setia Jaya, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia

Maps

Taman Setia Jaya in Batu Pahat, Johor recorded 9 subsale transactions in 2023, with a median price of RM280K and a median price per square foot (PSF) of RM239.

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 RM280K, with most transactions falling within a stable range of RM181K to RM379K, and a typical market range of RM198K to RM363K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM239, with core pricing between RM197 and RM282. Market pricing typically extends from RM212.44 to RM266.44, reflecting moderate variation in unit pricing. The spread of RM54.00 (IQR) and deviation of RM42 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.