Taman Bukit Indah ( Tr314 )

Simpang Kanan, Johor, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM 250,000
PSF
RM 179
1,300 sqft
2-Sty Terrace
RM 250,000
Off Jalan Tanjong Labuh
1,292 sqft · RM 194 PSF
RM 250,000
Off Jalan Tanjung Labuh
1,399 sqft · RM 179 PSF
RM 150,000
Taman Bukit Indah(Phase 2)
1,400 sqft · RM 107 PSF
RM 250,000
Off Jalan Tanjung Labuh
1,399 sqft · RM 179 PSF
RM 150,000
Off Jalan Tanjung Labuh
1,400 sqft · RM 107 PSF
RM 250,000
Off Jalan Tanjung Labuh
1,399 sqft · RM 179 PSF
RM 150,000
Off Jalan Tanjung Labuh
1,400 sqft · RM 107 PSF
RM 250,000
Off Jalan Tanjung Labuh
1,400 sqft · RM 179 PSF
RM 250,000
Off Jalan Tanjung Labuh
1,399 sqft · RM 179 PSF
2,400 sqft
2-Sty Terrace
RM 775,000
Off Jalan Tanjung Labuh
2,400 sqft · RM 323 PSF
2,700 sqft
Terrace
RM 175,000
Off Jalan Tanjong Labuh
2,688 sqft · RM 65 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 250,000

RM 179 psf

Median transaction price

Taman Bukit Indah ( Tr314 ) in Batu Pahat, Johor recorded 11 subsale transactions between 2021 and 2026, with a median price of RM 250K and a median price per square foot (PSF) of RM 179.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 179, with most transactions between RM 179 and RM 179. The usual range is RM 143.00 to RM 215.00, showing that most units are priced quite close to each other. With an IQR of RM 72.00 and MAD of RM 0, 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.