Molek Regency Service Apartment

Molek Regency, Taman Redang, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM560,000
PSF
RM577
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Serviced Apt
RM375,000
Level 11
646 sqft · RM581 PSF
RM398,000
Level 17
646 sqft · RM616 PSF
1,000 sqft
Serviced Apt
RM560,000
Level 32
1,001 sqft · RM559 PSF
RM578,000
Level 21
1,001 sqft · RM577 PSF
1,150 sqft
Serviced Apt
RM517,000
Level 17
1,152 sqft · RM449 PSF
1,500 sqft
Serviced Apt
RM780,000
Level 19
1,496 sqft · RM521 PSF
RM1,035,000
Level 11
1,496 sqft · RM692 PSF
Legend Recent Highest Price Highest PSF

Selling in Molek Regency Service Apartment? Homes here sold for a median of RM560,000.

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Molek Regency Service Apartment
© OpenStreetMap · CARTO

Molek Regency, Taman Redang, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Molek Regency Service Apartment in Johor Bahru, Johor recorded 7 subsale transactions in 2025, with a median price of RM560K and a median price per square foot (PSF) of RM577.

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 RM560K, with most transactions falling within a stable range of RM375K to RM774K, and a typical market range of RM375K to RM747K.

Most transactions involved serviced apartment, with minimal variety in property types.

The median PSF stands at RM577, with core pricing between RM507 and RM647. Market pricing typically extends from RM545.03 to RM609.78, reflecting moderate variation in unit pricing. With an IQR of RM64.75 and MAD of RM70, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.