Fun things to do Columbus on Tuesday evening (US)

Popular days & hours to visit attractions in Columbus United States on Tuesday evening.

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

AI
(Park)
Grandview Heights United States
4.7

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

For more info visit the website or checkout Google Maps.

(Other)
1998 N High St Columbus, OH 43201 United States
4.6

Buckeye Donuts is most popular around 3 PM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Sundays.

24-hour donut shop in the heart of the OSU campus area serving breakfast fare, donuts & Greek gyros.

For more info visit the website or checkout Google Maps.

(Other)
1972 N High St, Columbus, OH 43201
3.2

McDonald'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.

(Other)
850 Goodale Blvd
3.5

LA Fitness is most popular around 6 PM on Mondays. Visitors usually stay 1-2 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Park)
510 Cliffside Dr Columbus, OH 43202 United States
4.6

Glen 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.

(Other)
3923 N High St
4.6

Whetstone Community Center is most popular around 11 AM on Wednesdays. It's most quiet on Mondays.

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 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.