Fun things to do in Kingston (US)

Best and most fun things to do in Kingston : Follow the crowd or avoid the queues by visiting the most popular attractions during the quiet hours as indicated below.

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

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Kings Valley Diner (Restaurant)
617 Ulster Ave Kingston, NY 12401 United States
4.3

Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Frank Guido's Little Italy (Italian restaurant)
14 Thomas St Kingston, NY 12401 United States
4.6

Frank Guido's Little Italy is most popular around 6 PM on Saturdays. Visitors usually stay 1-2,5 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

Moonburger (Burger restaurant)
5 Powells Ln Kingston, NY 12401 United States
4.2

Visitors usually stay 10 min here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

Christina's Restaurant (Italian restaurant)
812 Ulster Ave Kingston, NY 12401 United States
4.5

Christina's Restaurant is most popular around 6 PM on Saturdays. Visitors usually stay 1-3 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

TopTaste Restaurant (Restaurant)
446 Hasbrouck Ave Kingston, NY 12401 United States
4.8

Visitors usually stay up to 30 min here.

For more info visit the website or checkout Google Maps.

440 Pizzeria (Pizza restaurant)
440 Broadway Kingston, NY 12401 United States
4.3

440 Pizzeria is most popular around 6 PM on Fridays. Visitors usually stay 10 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 Kingston, 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.