Taman Kekwa, Pogoh - Tr 86

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

Property Transactions

2 subsales grouped by size

Median
RM 295,000
PSF
RM 177
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM 240,000
Jalan Maju 2
1,539 sqft · RM 156 PSF
1,750 sqft
Terrace
RM 350,000
Jalan Maju 2
1,765 sqft · RM 198 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Kekwa, Pogoh - Tr 86

What’s happening in Taman Kekwa, Pogoh - Tr 86?

No posts about Taman Kekwa, Pogoh - Tr 86 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 295,000

RM 177 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 2 subsale transactions in 2025, with a median price of RM 295K and a median price per square foot (PSF) of RM 177.

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 295K, with most transactions falling within a stable range of RM 240K to RM 350K, and a typical market range of RM 240K to RM 350K.

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

The median PSF stands at RM 177, with core pricing between RM 156 and RM 198. Market pricing typically extends from RM 159.47 to RM 194.72, 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.