Things to do in Huancayo (PE)

Crowd levels and popular times for Huancayo : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

Abel Martinez Park (Park)
WQ7V+9PJ Huancayo 12003 Peru
3.8

Abel Martinez Park is most popular around 7 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Ripley Huancayo (Shopping center)
Av. Ferrocarril 1055 Huancayo 12001 Peru
3.7

Ripley Huancayo is most popular around 12 PM on Saturdays. Visitors usually stay 15 min to 2 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Andres Avelino Caceres Park (Park)
WQPM+G4G Jirón Alejandro O. Deustua Huancayo 12004, Peru
4.0

Andres Avelino Caceres Park is most popular around 2 PM on Wednesdays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

Google Maps

Chifa Centro (Chinese restaurant)
Av. Leandra Torres 240 Huancayo 12001 Peru
3.8

Chifa Centro is most popular around 3 PM on Sundays. It's most quiet on Wednesdays.

La mejor comida china al estilo cantonés

For more info visit the website or checkout Google Maps.

Sesquicentenario - Tumi Park (Park)
WQPG+R8M Huancayo 12004 Peru
4.0

Sesquicentenario - Tumi Park is most popular around 6 PM on Saturdays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

enamorados Parque Peñaloza Park (Park)
WRH6+327 Jr. Los Incas Huancayo 12002 Peru
3.3

enamorados Parque Peñaloza Park is most popular around 9 PM on Mondays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

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.