Taman Murni

81800 Ulu Tiram, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 315,000
PSF
RM 233
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
LC House
RM 310,000
Jalan Delima 2/1
1,001 sqft · RM 310 PSF
1,100 sqft
LC House
RM 250,000
Jalan Delima 2
1,098 sqft · RM 228 PSF
1,350 sqft
LC House
RM 320,000
Lorong 1 Jalan Delima 2
1,345 sqft · RM 238 PSF
3,400 sqft
Semi-D
RM 450,000
Jalan Delima 3
3,423 sqft · RM 131 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Murni

What’s happening in Taman Murni?

No posts about Taman Murni yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 315,000

RM 233 psf

Median transaction price

Taman Murni
© OpenStreetMap · CARTO

Taman Murni, 81800 Ulu Tiram, Johor Darul Ta'zim, Malaysia

Maps

Taman Murni in Johor Bahru, Johor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 315K and a median price per square foot (PSF) of RM 233.

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 315K, with most transactions falling within a stable range of RM 250K to RM 388K, and a typical market range of RM 285K to RM 345K.

Most transactions involved low-cost house, with moderate diversity in property types available.

Price per square foot shows a median of RM 233, though individual units vary from RM 169 to RM 296 in the core range. The broader market spans RM 201.52 to RM 264.02, indicating diverse property characteristics. A wider spread (IQR: RM 62.50) and deviation (MAD: RM 63) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.