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3 BR Apartment in Neapolis, Limassol

Neapolis, Limassol, Cyprus

1 / 10

Ref · 12121

For SaleapartmentResale

€350,000

2,800/m²

3

Beds

2

Baths

125m²

Area

1998

Built

RealDeal Estates

Listed by RealDeal Estates

Verified AnyDoor partner · Lic. 347/E

Response usually within a few hours

About this property

This 3-bedroom apartment in Neapolis, Limassol is offered for sale and is located just 150–250 meters from the sea in one of the city’s most sought-after residential areas. Situated on the 4th floor of a well-maintained 5-storey building with only 8 apartments (2 per floor), the property offers privacy and a quiet living environment close to all urban amenities.

The apartment offers generous internal space with a functional layout, including three balconies/terraces and two bathrooms. The building was constructed around 1998, and the apartment was fully renovated approximately three years ago, including updated electrical installations.

The property is currently rented for €2,000 per month, with tenants already in place under a contract signed about two months ago, making it an attractive investment opportunity.

Property details:

✔ Floor: 4th

✔ Bedrooms: 3

✔ Bathrooms: 2 (one with bathtub, one with shower)

✔ Internal area: approx. 120–127 m²

✔ Balconies / terraces: 3

✔ Parking space

✔ Storage room

✔ Distance to sea: 150–250 m

✔ Fully renovated (approx. 3 years ago)

Price: €350,000

General

Type
Apartment
Stage
Resale
Year built
1998
Furnished
Yes

Areas

Total area
125 m²

Layout

Bedrooms
3
Bathrooms
2

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.

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Fractional 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.