Best parks and nature in Lima (PE)

Unwind in Lima Peru Nature: Seek solitude or socialize in top outdoor spaces

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

Map
Parque María Reiche (Park)
VXM2+MHC Mal. de la Marina Miraflores 15074 Peru
4.6

Parque María Reiche is most popular around 5 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Parque Universitario (Park)
Jirón Cotabambas 205 Lima 15001 Peru
3.9

Parque Universitario is most popular around 4 PM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Sundays.

Google Maps

Club Metropolitano Sinchi Roca (Park)
Jirón Tungasuca 209 Comas 15313 Peru
4.1

Club Metropolitano Sinchi Roca is most popular around 3 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Loma Amarilla Ecological Park (Park)
V277+5C2 Santiago de Surco 15039 Peru
4.5

Loma Amarilla Ecological Park is most popular around 5 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

Google Maps

Muninet Parque La Muralla (Park)
Jirón Amazonas Lima 15001 Peru
4.3

Muninet Parque La Muralla is most popular around 3 PM on Saturdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Pedro Ruiz Gallo Park (Park)
Av. Juan Pardo de Zela 500 Lince 15046 Peru
4.2

Pedro Ruiz Gallo Park is most popular around 1 PM on Saturdays. Visitors usually stay up to 45 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Lima, 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.