Costa Mahkota

C-05-05Block 8, 5th Floor, Rooms 2058, Taman Costa Mahkota, Frangi Pani King 2, 75000, Melaka, Melaka, 75000 Malacca, Malaysia

Property Transactions

5 subsales grouped by size · Serviced Apt →

Median
RM 198,000
PSF
RM 358
Price Size
RM 140,000
Level 5
506 sqft · RM 277 PSF
RM 185,000
Level 4
517 sqft · RM 358 PSF
RM 198,000
Level 6
549 sqft · RM 361 PSF
RM 270,000
Level 6
549 sqft · RM 492 PSF
750 sqft
Serviced Apt
RM 230,000
Level 4
764 sqft · RM 301 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 214,000

RM 331 psf

Median transaction price

High

Rental Yield Data

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Costa Mahkota
© OpenStreetMap · CARTO

C-05-05Block 8, 5th Floor, Rooms 2058, Taman Costa Mahkota, Frangi Pani King 2, 75000, Melaka, Melaka, 75000 Malacca, Malaysia

Maps

Costa Mahkota in Melaka Tengah, Melaka recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 198K and a median price per square foot (PSF) of RM 358.

This area contains both residential and commercial properties. View 84 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 198K, with most transactions falling within a stable range of RM 154K to RM 242K, and a typical market range of RM 168K to RM 228K.

Most transactions involved serviced apartment, with moderate diversity in property types available.

Price per square foot shows a median of RM 358, though individual units vary from RM 283 to RM 433 in the core range. The broader market spans RM 326.31 to RM 389.81, indicating diverse property characteristics. The spread of RM 63.50 (IQR) and deviation of RM 75 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.