Taman Ulu Choh

81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Property Transactions

10 subsales grouped by road · Terrace →

Period
transactions middle 50% (P25–P75)
RM 300,000
1,870 sqft
RM 160 PSF
RM 300,000
1,870 sqft
RM 160 PSF
RM 300,000
1,870 sqft
RM 160 PSF
RM 399,000
3,094 sqft
RM 129 PSF · Semi-D
RM 238,000
1,870 sqft
RM 127 PSF · Terrace
RM 580,000
3,671 sqft
RM 158 PSF
RM 400,000
2,379 sqft
RM 168 PSF
RM 360,000
4,235 sqft
RM 85 PSF
RM 400,000
3,196 sqft
RM 125 PSF
RM 335,000
4,236 sqft
RM 79 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Ulu Choh

What’s happening in Taman Ulu Choh?

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

Taman Ulu Choh
© OpenStreetMap · CARTO

Taman Ulu Choh, 81500 Pekan Nanas, Johor Darul Ta'zim, Malaysia

Maps

Taman Ulu Choh in Johor Bahru, Johor recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 348K and a median price per square foot (PSF) of RM 158.

This area contains both residential and commercial properties. View 7 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 348K, with most transactions falling within a stable range of RM 298K to RM 397K, and a typical market range of RM 298K to RM 397K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 158, with core pricing between RM 142 and RM 175. Market pricing typically extends from RM 140.75 to RM 175.25, reflecting moderate variation in unit pricing. With an IQR of RM 34.50 and MAD of RM 17, the PSF demonstrates reasonable consistency across the market.

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.