Taman Lunas Indah

Kedah, Kulim, Bandar Lunas

Property Transactions

4 subsales grouped by size

Median
RM 469,500
PSF
RM 162
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM 149,000
Lorong Kangkong 5/4
1,195 sqft · RM 125 PSF
2,700 sqft
Semi-D
RM 470,000
Jalan Mewah 4
2,680 sqft · RM 175 PSF
2,850 sqft
Semi-D
RM 750,000
Jalan Lunas Indah 4
2,874 sqft · RM 261 PSF
3,150 sqft
Semi-D
RM 469,000
Fasa 2
3,165 sqft · RM 148 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Lunas Indah

What’s happening in Taman Lunas Indah?

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

Market Snapshot

Residential

RM 469,500

RM 162 psf

Median transaction price

Taman Lunas Indah
© OpenStreetMap · CARTO

Taman Lunas Indah, Kulim, Kedah

Taman Lunas Indah in Kulim, Kedah recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 470K and a median price per square foot (PSF) of RM 162.

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 470K, with most transactions falling within a stable range of RM 257K to RM 682K, and a typical market range of RM 310K to RM 629K.

Most transactions involved low-cost house, with high diversity across multiple property types.

Price per square foot shows a median of RM 162, though individual units vary from RM 110 to RM 213 in the core range. The broader market spans RM 153.91 to RM 169.66, indicating diverse property characteristics. A wider spread (IQR: RM 15.75) and deviation (MAD: RM 52) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.