Taman Seri Mangga

Melaka, Malaysia

Property Transactions

4 subsales grouped by size · Terrace →

Period
transactions middle 50% (P25–P75)
1,100 sqft
Terrace
RM286,000
Jalan Seri Mangga 3
1,098 sqft · RM260 PSF
1,200 sqft
Terrace
RM280,000
Jalan Seri Mangga 3
1,195 sqft · RM234 PSF
1,900 sqft
Terrace
RM339,000
Jalan Sm
1,894 sqft · RM179 PSF
5,100 sqft
Bungalow
RM885,000
Jalan Seri Mangga 1/11
5,113 sqft · RM173 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Seri Mangga? Homes here sold for a median of RM312,500.

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

List your property free

Posts about Taman Seri Mangga

What’s happening in Taman Seri Mangga?

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

Loading map...

Taman Seri Mangga, Melaka, Malaysia

Maps

Taman Seri Mangga in Melaka Tengah, Melaka recorded 4 subsale transactions between 2021 and 2026, with a median price of RM313K and a median price per square foot (PSF) of RM234.

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 RM313K, with most transactions falling within a stable range of RM283K to RM342K, and a typical market range of RM280K to RM408K.

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

The median PSF stands at RM234, with core pricing between RM204 and RM265. Market pricing typically extends from RM202.50 to RM265.50, reflecting moderate variation in unit pricing. With an IQR of RM63.00 and MAD of RM31, 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.