Taman Kekwa, Pogoh - Tr 86

Taman Kekwa, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM120,000
Jalan Maju 4
840 sqft · RM143 PSF
900 sqft
2-Sty Terrace
RM238,000
Jalan Maju 2
915 sqft · RM260 PSF
1,550 sqft
Terrace
RM271,000
Jalan Maju 4
1,539 sqft · RM176 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Kekwa, Pogoh - Tr 86? Homes here sold for a median of RM238,000.

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Market Snapshot

Residential

RM238,000

RM176 psf

Median transaction price

Taman Kekwa, Pogoh - Tr 86
© OpenStreetMap · CARTO

Taman Kekwa, 85000 Bukit Siput, Johor Darul Ta'zim, Malaysia

Maps

Taman Kekwa, Pogoh - Tr 86 in Segamat, Johor recorded 3 subsale transactions in 2022, with a median price of RM238K and a median price per square foot (PSF) of RM176.

This area contains both residential and commercial properties. View 9 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 RM238K, with most transactions falling within a stable range of RM173K to RM271K, and a typical market range of RM169K to RM271K.

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

Price per square foot shows a median of RM176, though individual units vary from RM127 to RM225 in the core range. The broader market spans RM158.44 to RM193.69, indicating diverse property characteristics. A wider spread (IQR: RM35.25) 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.