Taman Sri Wangi-Tg Sembrong

Taman Orkid, 83700 Yong Peng, Johor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 120,000
PSF
RM 109
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM 200,000
Jalan Wangi 6
1,098 sqft · RM 182 PSF
RM 80,000
Jalan Wangi 7
1,098 sqft · RM 73 PSF
RM 120,000
Jalan Wangi 7
1,098 sqft · RM 109 PSF
RM 80,000
Jalan Wangi 7
1,098 sqft · RM 73 PSF
RM 160,000
Jalan Sri Wangi 6
1,098 sqft · RM 146 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 120,000

RM 109 psf

Median transaction price

Taman Sri Wangi-Tg Sembrong
© OpenStreetMap · CARTO

Taman Orkid, 83700 Yong Peng, Johor, Malaysia

Maps

Taman Sri Wangi-Tg Sembrong in Batu Pahat, Johor recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 120K and a median price per square foot (PSF) of RM 109.

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 120K, with most transactions falling within a stable range of RM 80K to RM 167K, and a typical market range of RM 80K to RM 181K.

Within the Low-Cost House category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM 109, though individual units vary from RM 67 to RM 152 in the core range. The broader market spans RM 91.18 to RM 127.43, indicating diverse property characteristics. A wider spread (IQR: RM 36.25) and deviation (MAD: RM 42) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.