Taman Kasih

Taman Dato Yahya Shahban, 81800 Ulu Tiram, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size

Period
transactions middle 50% (P25–P75)
3,400 sqft
Semi-D
RM400,000
Jalan.nilam 16
3,420 sqft · RM117 PSF
3,550 sqft
Semi-D
RM485,000
Jalan Nilam 15
3,531 sqft · RM137 PSF
3,600 sqft
Semi-D
RM300,000
Jalan Nilam 17/2
3,617 sqft · RM83 PSF
RM450,000
Jalan Nilam 17/4
3,595 sqft · RM125 PSF
4,450 sqft
Semi-D
RM250,000
Jalan Nilam 15
4,453 sqft · RM56 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Kasih

What’s happening in Taman Kasih?

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

Market Snapshot

Residential

RM367,500

RM97 psf

Median transaction price

Taman Kasih
© OpenStreetMap · CARTO

Taman Kasih, Taman Dato Yahya Shahban, 81800 Ulu Tiram, Johor Darul Ta'zim, Malaysia

Maps

Taman Kasih in Johor Bahru, Johor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM400K and a median price per square foot (PSF) of RM117.

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 RM400K, with most transactions falling within a stable range of RM315K to RM485K, and a typical market range of RM325K to RM475K.

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

The median PSF stands at RM117, with core pricing between RM97 and RM137. Market pricing typically extends from RM95.96 to RM137.96, reflecting moderate variation in unit pricing. The spread of RM42.00 (IQR) and deviation of RM20 (MAD) suggest moderate price variations reflecting different property features.

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.