Fun things to do North Miami Beach on Friday afternoon (US)

Popular days & hours to visit attractions in North Miami Beach United States on Friday afternoon.

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

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North Miami Beach Library (Library)
1601 NE 164th St
4.5

North Miami Beach Library is most popular around 4 PM on Tuesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Thursdays.

A Discovery Library where learning is part of the experience as well as traditional study space & resources. Cultural, STEM, Language, Citizenship, Technology, Fitness & so much more! During the CoVid-19, we follow our State and Municipal guidelines. Mask and temperature checks are required to enter the City’s facility. For those desiring remote services go to website for online Story time, classes and curbside service availability.

For more info visit the website or checkout Google Maps.

Ojus Park (Park)
18995 W Dixie Hwy
4.2

Ojus Park is most popular around 3 PM on Wednesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Aqua Bowl Park (Park)
15458 W Dixie Hwy
4.4

Aqua Bowl Park is most popular around 7 PM on Thursdays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Hazel Fazzino Park (Park)
15901 NE 15th Ave
4.5

Hazel Fazzino Park is most popular around 6 PM on Tuesdays. Visitors usually stay up to 1,5 hours here. It's most quiet on Thursdays.

Google Maps

Sauls Park (Park)
NE 13th Ave
4.4

Sauls Park is most popular around 11 AM on Thursdays. It's most quiet on Sundays.

Google Maps



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