Fun things to do Columbus on Monday morning (US)
Popular days & hours to visit attractions in Columbus United States on Monday morning.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated sightseeing spots.
(Other)
3550 E Broad StMcDonald's is most popular around 4 PM on Fridays. Visitors usually stay 10 min here. It's most quiet on Sundays.
Classic, long-running fast-food chain known for its burgers & fries.
For more info visit the website or checkout Google Maps.
(Other)
1972 N High St, Columbus, OH 43201McDonald's is most popular around 9 PM on Fridays. Visitors usually stay 15 min here. It's most quiet on Sundays.
Classic, long-running fast-food chain known for its burgers & fries.
For more info visit the website or checkout Google Maps.
(Amusement park)
Columbus, OH 43215Scioto Mile Fountain is most popular around 4 PM on Sundays. Visitors usually stay 10 min to 1 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Other)
1924 N High StChick-fil-A is most popular around 12 PM on Thursdays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.
Fast-food chain serving chicken sandwiches & nuggets along with salads & sides.
For more info visit the website or checkout Google Maps.
(Other)
3481 E Broad StOhio Bureau of Motor Vehicles is most popular around 2 PM on Mondays. Visitors usually stay 20 min here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Park)
510 Cliffside Dr Columbus, OH 43202 United StatesGlen Echo Park is most popular around 1 PM on Mondays. Visitors usually stay up to 1 hour here. It's most quiet on Sundays.
For more info visit the website or checkout 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 Columbus, 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.