Taman Sri Jaya

81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,350 sqft
2-Sty Terrace
RM550,000
Jalan Jaya 7
1,367 sqft · RM402 PSF
RM510,000
Jalan Jaya 7
1,367 sqft · RM373 PSF
RM475,000
Jalan Jaya 7
1,367 sqft · RM347 PSF
RM493,000
Jalan Jaya 7
1,367 sqft · RM361 PSF
1,450 sqft
2-Sty Terrace
RM411,000
Jalan Jaya 7
1,442 sqft · RM285 PSF
RM484,000
Jalan Jaya 7
1,442 sqft · RM336 PSF
RM403,000
Jalan Seri Jaya 2
1,442 sqft · RM279 PSF
1,550 sqft
Terrace
RM330,000
Jalan Jaya 3
1,539 sqft · RM214 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM479,500

RM342 psf

Median transaction price

Taman Sri Jaya
© OpenStreetMap · CARTO

Taman Sri Jaya, 81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Jaya in Pontian, Johor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM480K and a median price per square foot (PSF) of RM342.

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 RM480K, with most transactions falling within a stable range of RM413K to RM546K, and a typical market range of RM344K to RM550K.

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

The median PSF stands at RM342, with core pricing between RM284 and RM399. Market pricing typically extends from RM281.52 to RM401.52, reflecting moderate variation in unit pricing. The spread of RM120.00 (IQR) and deviation of RM57 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.