Tanani Newa Home - Makalu

Name: Tanani Newa Home - Makalu
Address: Patan Dhoka, Lalitpur, Lalitpur, Lalitpur, 44600, Nepal
Rating: 0

1.8 kmfrom the city center

from 3,750 ₽

Popular amenities

Smoking allowed

Location

Tribhuvan International Airport • 4.2 km

Available rooms

Enter your dates of travel and we will display the current prices

No dates selected

If you don't know the specific dates yet, select approximate dates to see the price estimates.

Location

Patan Dhoka, Lalitpur

Airports
Tribhuvan International Airport • 4.2 km

Description of the guest house

Location

A nice option for people traveling in groups. Guest house «Tanani Newa Home - Makalu» is located in Lalitpur. This guest house is located 2 km from the city center.

At the guest house

Additional services that the guest house offers to its guests: a laundry.

Facts about the guest house

Type of electrical socket

Type C

230 V / 50 Hz

Type G

230 V / 50 Hz

Type M

230 V / 50 Hz

Number of rooms

1 room

Services and amenities

General

Smoking areas
No elevators
Reception desk

Services and amenities

Laundry
charged separately

Pets

Pets Not Allowed

Conditions of accommodation

Check-in and check-out

Check-in
After 14:00

Check-out
Until 12:00

Conditions of accommodation

Check-in and check-out

Check-in
After 14:00

Check-out
Until 12:00

Payment

In the guest house

In cash in the currency of the guest house — NPR

On the website

Some rates can be paid by bank card when booking online. You can use points to make a partial or full payment of your booking. You can pay for your booking by using a promo code if you have one.

For corporate clients

If you'd like to pay for the order by wire transfer as a legal entity, please send an e-mail to corp@ostrovok.ru

Learn more

Mobile app

Our app has lower prices and more options! You can also pay by Apple Pay and Android Pay there. Besides, you can easily access your booking vouchers in your personal account even if you're offline.

Policy on storage and handling of personal data Recommendation technologies are used