Taman Astaka Jaya, B. Kasap

114, Jalan Astakajaya, Taman Segamat Jaya, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Property Transactions

3 subsales grouped by size · 2-Sty Terrace →

Median
RM 280,000
PSF
RM 182
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
LC House
RM 80,000
Jalan Astakajaya 8
775 sqft · RM 103 PSF
1,500 sqft
2-Sty Terrace
RM 280,000
Jalan Puteri 1
1,507 sqft · RM 186 PSF
1,550 sqft
Terrace
RM 280,000
Jalan Astakajaya 14
1,539 sqft · RM 182 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 280,000

RM 182 psf

Median transaction price

Taman Astaka Jaya, B. Kasap
© OpenStreetMap · CARTO

114, Jalan Astakajaya, Taman Segamat Jaya, 85000 Segamat, Johor Darul Ta'zim, Malaysia

Maps

Taman Astaka Jaya, B. Kasap in Segamat, Johor recorded 3 subsale transactions in 2022, with a median price of RM 280K and a median price per square foot (PSF) of RM 182.

This area contains both residential and commercial properties. View 14 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 RM 280K, with most transactions falling within a stable range of RM 186K to RM 280K, and a typical market range of RM 207K to RM 280K.

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

Price per square foot shows a median of RM 182, though individual units vary from RM 144 to RM 220 in the core range. The broader market spans RM 142.66 to RM 221.16, indicating diverse property characteristics. The spread of RM 78.50 (IQR) and deviation of RM 38 (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.