Eco Inn Puno in Puno

Save up to 50%

Eco Inn Puno Av. Chulluni 195 Sector Huaje Puno

Enter your dates to check availability and prices
Check In Nights
Photos Hostel Eco Inn Puno
Puno
Book this Hostel Eco Inn Puno From USD42.50   EUR34.31   GBP29.35  
About the hostel

In this page you can find all the information about the hostel Eco Inn Puno of Puno. With Viamundis.com you can reserve your hostel or cheap accommodation at the best possible price. See the description of the hostel Eco Inn Puno with the facilities offered, photos, map with directions on how to get to the hostel Eco Inn Puno, prices, reviews and comments on the hostel Eco Inn Puno. Make your reservation with a credit card, anticipating only a 10 per cent of the total amount to secure the booking. At the end of the booking you will get the phone number and the email address of hostel Eco Inn Puno. Also by email you will receive the booking number confirmation with a reminder. Print your reservation and show it at the reception of the hostel on your arrival’s day; the hostel have already the data details of the guests and you just have to start your holiday in Puno!


Eco Inn Puno we offer comfortable accommodation having a privileged location fronting Lake Titicaca.It allows you to enjoy the warmth of the rooms with a spectacular view and to be delighted by the Andean Sunrise in the world�s highest navigable lake surrounded by nature and culture.Eco Inn Puno hopes your visit will be enjoyable.

 
AddressEco Inn Puno - Av. Chulluni 195 Sector Huaje   ,  Puno,  Puno,  Puno,  Peru  
Facilities
Breakfast Included Restaurant Internet Access Laundry
Bar Luggage Storage Children Friendly Telephone/Fax Facilities
24 hour reception Travel Desk/Travel Info Bureau de Change 24 Hour Check In
Air Conditioning
 

 

1055: Expression #2 of SELECT list is not in GROUP BY clause and contains nonaggregated column 'viamundi_viamundis.imp_hotels.perma_village' which is not functionally dependent on columns in GROUP BY clause; this is incompatible with sql_mode=only_full_group_by
select Geo_Village, perma_village from imp_hotels where id_country = 149 and id_city = 5506 and perma_village != '' group by Geo_Village