Fun things to do New Haven on Wednesday morning (US)

Popular days & hours to visit attractions in New Haven United States on Wednesday morning.

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

AI
(Park)
250 Temple St
4.1

New Haven Green is most popular around 4 PM on Saturdays. Visitors usually stay up to 30 min here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Other)
250 Whalley Ave
3.5

McDonald's is most popular around 2 PM on Fridays. Visitors usually stay 10 min here. It's most quiet on Sundays.

McDonald’s USA, LLC, serves a variety of menu options made with quality ingredients to millions of customers every day. Ninety-five percent of McDonald’s approximately 13,500 U.S. restaurants are owned and operated by independent business owners. For more information, visit www.mcdonalds.com, and follow us on social: X, Instagram, TikTok and Facebook.

For more info visit the website or checkout Google Maps.

(Park)
75 Cliff St
4.7

Edgerton Park is most popular around 2 PM on Mondays. Visitors usually stay up to 1,5 hours here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Museum)
1080 Chapel St New Haven, CT 06510 United States
4.7

Visitors usually stay 30 min to 1,5 hr here.

For more info visit the website or checkout Google Maps.

(Library)
120 High St
4.9

Sterling Memorial Library is most popular around 2 PM on Tuesdays. Visitors usually stay 1-4 hours here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

(Other)
750 1st Ave
4.3

Xtra Fuels is most popular around 5 PM on Wednesdays. Visitors usually stay 5 min here. It's most quiet on Sundays.

Google Maps



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