Taman Sri Maju

82000 Pontian, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM200,000
Jalan Sri Maju 10
753 sqft · RM265 PSF
1,050 sqft
LC House
RM200,000
Jalan Sri Maju 10
1,044 sqft · RM192 PSF
1,600 sqft
Terrace
RM300,000
Jalan Sri Maju 8
1,582 sqft · RM190 PSF
2,450 sqft
Semi-D
RM300,000
Jalan Sri Maju 2
2,454 sqft · RM122 PSF
RM515,000
Jalan Sri Maju
2,928 sqft · RM176 PSF
RM350,000
Jalan Sri Maju 10
2,949 sqft · RM119 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM300,000

RM190 psf

Median transaction price

Taman Sri Maju
© OpenStreetMap · CARTO

Taman Sri Maju, 82000 Pontian, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Maju in Pontian, Johor recorded 6 subsale transactions in 2022, with a median price of RM300K and a median price per square foot (PSF) of RM183.

This area contains both residential and commercial properties. View 15 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM200K to RM406K, and a typical market range of RM240K to RM360K.

Most transactions involved low-cost house, with high diversity across multiple property types.

Price per square foot shows a median of RM183, though individual units vary from RM133 to RM232 in the core range. The broader market spans RM128.25 to RM237.25, indicating diverse property characteristics. A wider spread (IQR: RM109.00) and deviation (MAD: RM49) 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.