Taman Kekwa, Pogoh - Tr 86

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

Property Transactions

5 subsales grouped by size

Median
RM 240,000
PSF
RM 156
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
2-Sty Terrace
RM 130,000
Jalan Maju 4
840 sqft · RM 155 PSF
1,550 sqft
Terrace
RM 240,000
Jalan Maju 2
1,539 sqft · RM 156 PSF
RM 300,000
Jalan Maju 3
1,539 sqft · RM 195 PSF
RM 230,000
Jalan Maju 2
1,539 sqft · RM 149 PSF
1,750 sqft
Terrace
RM 350,000
Jalan Maju 2
1,765 sqft · RM 198 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 240,000

RM 156 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 5 subsale transactions between 2021 and 2026, with a median price of RM 240K and a median price per square foot (PSF) of RM 156.

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 RM 240K, with most transactions falling within a stable range of RM 166K to RM 314K, and a typical market range of RM 171K to RM 309K.

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

The median PSF stands at RM 156, with core pricing between RM 135 and RM 177. Market pricing typically extends from RM 138.30 to RM 173.55, reflecting moderate variation in unit pricing. With an IQR of RM 35.25 and MAD of RM 21, the PSF demonstrates reasonable consistency across the market.

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.