Taman Ilmu

Kelantan, Machang, Labok

Property Transactions

5 subsales grouped by size · Terrace →

Median
RM 150,000
PSF
RM 123
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
LC House
RM 90,000
Kampung Lalang Luas
732 sqft · RM 123 PSF
1,200 sqft
Terrace
RM 150,000
Off Jalan Machang-Kota Bharu
1,195 sqft · RM 126 PSF
RM 240,000
Off Jalan Machang-Kota Bharu
1,195 sqft · RM 201 PSF
1,400 sqft
Terrace
RM 135,000
Off Jalan Machang-Kota Bharu
1,399 sqft · RM 96 PSF
RM 155,000
Off Jalan Machang-Kota Bharu
1,399 sqft · RM 111 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Ilmu

What’s happening in Taman Ilmu?

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

Market Snapshot

Residential

RM 150,000

RM 123 psf

Median transaction price

Loading map...

Taman Ilmu, Machang, Kelantan

Taman Ilmu in Machang, Kelantan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 123.

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 150K, with most transactions falling within a stable range of RM 101K to RM 199K, and a typical market range of RM 143K to RM 158K.

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

Price per square foot shows a median of RM 123, though individual units vary from RM 87 to RM 159 in the core range. The broader market spans RM 88.84 to RM 157.08, indicating diverse property characteristics. A wider spread (IQR: RM 68.25) and deviation (MAD: RM 36) 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.