Taman Delima, Kampung Koh

Perak, Manjung, Sitiawan

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,800 sqft
2-Sty Terrace
RM406,000
Jalan Delima
1,798 sqft · RM226 PSF
RM406,000
Jalan Delima 5
1,798 sqft · RM226 PSF
3,600 sqft
Semi-D
RM400,000
Jalan Kampung. Koh-Lekir
3,602 sqft · RM111 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Delima, Kampung Koh? Homes here sold for a median of RM406,000.

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

List your property free

Posts about Taman Delima, Kampung Koh

What’s happening in Taman Delima, Kampung Koh?

No posts about Taman Delima, Kampung Koh yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM406,000

RM226 psf

Median transaction price

Taman Delima, Kampung Koh in Manjung, Perak recorded 3 subsale transactions in 2024, with a median price of RM406K and a median price per square foot (PSF) of RM226.

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 RM406K, with most transactions falling within a stable range of RM403K to RM406K, and a typical market range of RM400K to RM406K.

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

Price per square foot shows a median of RM226, though individual units vary from RM172 to RM280 in the core range. The broader market spans RM158.49 to RM293.24, indicating diverse property characteristics. The spread of RM134.75 (IQR) and deviation of RM54 (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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.