Best restaurants Huancayo on Saturday evening (PE)

Popular restaurants and hours for eating in Huancayo Peru on Saturday evening: Secure a table before rush hour at the most popular restaurants.

Adjust the filters to find for example your desired busy, quiet, expensive, or highly rated restaurants.

Map
El Inca Restaurante (Restaurant)
Jirón Puno 530 Huancayo 12001 Peru
4.2

El Inca Restaurante is most popular around 8 PM on Fridays. Visitors usually stay 1-2.5 hours here. It's most quiet on Sundays.

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Okami Sushi & Bar (Sushi restaurant)
Uruguay 488 Huancayo 12001 Peru
4.0

Okami Sushi & Bar is most popular around 7 PM on Fridays. It's most quiet on Tuesdays.

Google Maps

Chifa Centro (Chinese restaurant)
Av. Leandra Torres 240 Huancayo 12001 Peru
3.9

Chifa Centro is most popular around 2 PM on Sundays.

La mejor comida china al estilo cantonés

For more info visit the website or checkout Google Maps.

Picarones y Anticuchos Parque Túpac (Restaurant)
Jr. Sta. Isabel 325 Huancayo 12004 Peru
4.1

Picarones y Anticuchos Parque Túpac is most popular around 7 PM on Saturdays. It's most quiet on Sundays.

Restaurante tradicional especializado en venta de Picarones y Anticuchos. Más de 20 brindando calidad y exquisito sabor.

For more info visit the website or checkout Google Maps.

Tejados (Restaurant)
Túpac Park Jr. Francisco Solano ° 220 Huancayo Peru
3.8

Tejados is most popular around 8 PM on Thursdays. Visitors usually stay 1-1,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

El Viejo Madero (Restaurant)
Av. Leandra Torres 355 Huancayo 12001 Peru
3.7

El Viejo Madero is most popular around 2 PM on Fridays. Visitors usually stay 1 hour here. It's most quiet on Thursdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Huancayo, Peru. Filter points of interest (venues) on foot traffic levels, day, time, dwell time, location, ratings, etc. BestTime provides retail foot traffic and foot traffic analytics.