Taman Kelisa Jaya , Parit Raja

Taman Kelisa Jaya, 86400 Parit Raja, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 180,000
PSF
RM 195
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM 90,000
Jalan 5
770 sqft · RM 117 PSF
850 sqft
2-Sty Terrace
RM 210,000
Jalan Kelisa 2
840 sqft · RM 250 PSF
RM 180,000
Jalan Kelisa Jaya 2
840 sqft · RM 214 PSF
1,200 sqft
LC House
RM 110,000
Jalan 5
1,180 sqft · RM 93 PSF
1,550 sqft
Terrace
RM 300,000
Jalan 3
1,539 sqft · RM 195 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 180,000

RM 195 psf

Median transaction price

Taman Kelisa Jaya , Parit Raja
© OpenStreetMap · CARTO

Taman Kelisa Jaya, 86400 Parit Raja, Johor Darul Ta'zim, Malaysia

Maps

Taman Kelisa Jaya , Parit Raja in Batu Pahat, Johor recorded 5 subsale transactions in 2023, with a median price of RM 180K and a median price per square foot (PSF) of RM 195.

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 180K, with most transactions falling within a stable range of RM 105K to RM 255K, and a typical market range of RM 103K to RM 257K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM 195, though individual units vary from RM 135 to RM 254 in the core range. The broader market spans RM 176.40 to RM 213.40, indicating diverse property characteristics. A wider spread (IQR: RM 37.00) and deviation (MAD: RM 59) 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.