Kenya Property Centre

2 Bedroom Apartments in Lavington, Nairobi

There are 141 apartments for sale and rent in Lavington as of 8 Sep 2026, with an average price of KSh 90K. Every listing is posted by an estate agent or developer you can contact directly — filter by price, type, furnishing and recency to find the right home.

Premium Plus Top promoted listing
2 Bedroom Apartment
12 photos
KSh 100,000 /mo

Apartment for rent

2 Bedroom Apartment

Spacious 2 bedroom apartment in Lavington, modern low density compound with natural light Spacious 2 bedroom apartment in modern development on Mbaazi Road. The building is a quiet, low-density, modern build, and includes: - Peaceful, low density compound (NOT Chinese building) - 24/7 security and responsive facilities management - Ample on-site parking including for guests - ️ Full set of high-quality kitchen and dining equipment and multiple sets of linens. - Reliable utilities - Close to many major amenities. Geco cafe, 24/7 Naivas supermarket, Dau Swahili restaurant and PharmaPlus are all within 2 minutes walk, whilst Carrefour, Java House, Artcaffe, multiple gyms and many other stores are within a 5 minute drive/15 minute walk. Rent: KSh 100,000 per month Available immediately Contact James on +254 706 534 780

Mbaazi Road, Lavington, Nairobi
2 Beds 2 Baths

James William Torvaney

KSh 200,000 /mo

Apartment for rent

Luxury Tastefully Furnished 2 Bedroom Apartment

2 bed luxury, tastefully furnished 2 bed apartment to let for long term lease. 1 year and above .

Riara Road, Lavington, Nairobi
2 beds 2 baths 2 toilets
Discava Properties

Showing 141–142 of 141 properties

FAQ

Frequently asked questions

The average price of 2 bedroom apartments in Lavington, Nairobi is KSh 90,000 per month.

The price of the most expensive 2 bedroom apartments in Lavington, Nairobi is KSh 200,000 per month.

The price of the cheapest 2 bedroom apartments in Lavington, Nairobi is KSh 65,000 per month.

There are 141 available 2 bedroom apartments in Lavington, Nairobi. You can view and filter the list of property by price, furnishing and recency.