1 BR Apartment in Potamos Germasogeias, Limassol
Potamos Germasogeias, Limassol, Cyprus
About this property
Modern 1-bedroom apartment for rent in Potamos Germasogeias, Limassol, located in the heart of the city’s prestigious tourist area. Surrounded by high-end amenities, restaurants, cafés, shops, and entertainment venues, the property offers an exceptional Mediterranean lifestyle that combines comfort, convenience, and resort-style living.
Situated within a gated residential complex, the apartment features contemporary design, high-quality finishes, and spacious indoor and outdoor living areas.
Property details:
✔ Floor: 1
✔ Internal area: 58.6 m²
✔ Covered veranda: 26.15 m²
✔ Bedroom: 1
✔ Bathroom: 1
✔ Covered parking space: 1
✔ Energy Efficiency Class A
✔ Distance to the sea: 500 m
Complex features:
✔ Gated residential complex
✔ Prestigious tourist area location
✔ Resort-style atmosphere
✔ High-quality design and construction
✔ Walking distance to shops, cafés, restaurants, and all daily amenities
✔ Easy access to Limassol city centre and seafront
An excellent opportunity to enjoy modern coastal living in one of Limassol’s most desirable residential and tourist areas.
Rental Price: €3,500 per month + common expenses + 2 security deposits
Utilities including electricity, water, internet, and annual refuse collection are payable separately by the tenant.
General
- Type
- Apartment
- Furnished
- No
Areas
- Covered area
- 84.75 m²
- Internal area
- 58.6 m²
- Total area
- 84.75 m²
Layout
- Bedrooms
- 1
- Bathrooms
- 1
Location
Approximate location. Exact address shared after viewing request.
Side-by-side with up to 4 properties — yields, prices, locations.
Management options
Run it yourself or hand it over.
AnyDoor partners with vetted Cyprus operators for long-let, short-let or hybrid management — included in your investment plan.
Explore managementFractional ownership · Q2 2026
Own a fraction of this property.
Lower entry, same yield, transparent SPV. Notify me when fractional opens for Limassol.
Yield, IRR and scenarios are derived from comparable transactions and 24-month rental data. Read the methodology.