Best open cafes near you in Sioux Falls (US)

Best open cafes near you in Sioux Falls United States : Find your ideal quiet or bustling cafe nearby you.

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

Phillips Avenue Diner (Breakfast restaurant)
121 S Phillips Ave
4.5

Phillips Avenue Diner is most popular around 11 AM on Saturdays. Visitors usually stay 45 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Bagel Boy (Bakery)
2505 S Minnesota Ave
4.6

Bagel Boy is most popular around 10 AM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Starbucks (Coffee)
418 S Minnesota Ave
4.3

Starbucks is most popular around 10 AM on Saturdays. Visitors usually stay up to 10 min here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Coffea Roasterie and Espresso Bar (Coffee)
200 S Phillips Ave
4.6

Coffea Roasterie and Espresso Bar is most popular around 11 AM on Saturdays. Visitors usually stay 15 min to 1,5 hr here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

La Luna Cafe (Coffee)
701 N Phillips Ave Unit 125
4.6

La Luna Cafe is most popular around 10 AM on Saturdays. Visitors usually stay 45 min to 3 hr here. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Mary's Mountain Cookies - Downtown Sioux Falls (Bakery)
701 N Phillips Ave Unit 120
4.5

Mary's Mountain Cookies - Downtown Sioux Falls is most popular around 5 PM on Saturdays. It's most quiet on Wednesdays.

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 Sioux Falls, 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.