Best parks and nature in Madrid (ES)

Unwind in Madrid Spain 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.

Parque Alfredo Nobel (Park)
C. Juan Ramón Jiménez, 30 28922 Alcorcón Madrid Spain
4.2

Parque Alfredo Nobel is most popular around 1 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Presillas Park (Park)
Av. Circunvalación Norte, 1 28918 Alcorcón Madrid Spain
4.3

Presillas Park is most popular around 1 PM on Sundays. It's most quiet on Tuesdays.

Google Maps

Neverland Park (Park)
C/ Ignacio Sanchez Coy 28905 Getafe Madrid Spain
4.3

Neverland Park is most popular around 1 PM on Sundays. Visitors usually stay up to 1.5 hours here.

Google Maps

Plaza de Azca (Park)
C/ de Agustín de Betancourt Tetuán 28020 Madrid Spain
4.2

Plaza de Azca is most popular around 7 PM on Thursdays. It's most quiet on Mondays.

A la hora de comer o tomar un café o tentempié, la zona ofrece un gran abanico de restaurantes y cafeterías con diferentes estilos y menús especiales a mediodía a precios asequibles. Además, cuenta con una interesante propuesta de centros comerciales, con numerosas tiendas y establecimientos de todo tipo.

For more info visit the website or checkout Google Maps.

Prado Boulevard (Park)
P.º del Prado, 3198 Centro 28014 Madrid Spain
4.6

Prado Boulevard is most popular around 7 PM on Sundays. It's most quiet on Mondays.

Google Maps

Paz Park (Park)
C. Roma, 2 28938 Móstoles Madrid Spain
4.1

Paz Park is most popular around 12 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Wednesdays.

Google Maps

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