Taman Ilmu Ii, Sitiawan

Perak, Manjung, Sitiawan

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
2-Sty Terrace
RM300,000
Jalan Ilmu 2
1,582 sqft · RM190 PSF
2,050 sqft
2-Sty Terrace
RM320,000
Jalan Kampung Koh
2,034 sqft · RM157 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Ilmu Ii, Sitiawan? Homes here sold for a median of RM310,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Ilmu Ii, Sitiawan

What’s happening in Taman Ilmu Ii, Sitiawan?

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

Taman Ilmu Ii, Sitiawan in Manjung, Perak recorded 2 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM310K and a median price per square foot (PSF) of RM173.

This area contains both residential and commercial properties. View 2 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM310K, with most transactions falling within a stable range of RM300K to RM320K, and a typical market range of RM300K to RM320K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM173, with most transactions between RM157 and RM190. The usual range is RM145.45 to RM201.45, showing that most units are priced quite close to each other. With an IQR of RM56.00 and MAD of RM16, the PSF demonstrates reasonable consistency across the market.

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.