Best open cafes near you in Kingston upon Thames (GB)

Best open cafes near you in Kingston upon Thames United Kingdom : 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.

Canbury Secret Cafe (Coffee)
Canbury Gardens
4.5

Canbury Secret Cafe is most popular around 11 AM on Sundays. Visitors usually stay up to 30 min here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Starbucks Coffee (Coffee)
91 Clarence St
3.9

Starbucks Coffee is most popular around 2 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Seattle-based coffeehouse chain known for its signature roasts, light bites, iced tea and iced coffee and WiFi availability.

For more info visit the website or checkout Google Maps.

The Terrace Eatery (Cafe)
6A, Food for Thought
3.8

The Terrace Eatery is most popular around 1 PM on Saturdays. It's most quiet on Wednesdays.

For more info visit the website or checkout Google Maps.

Fortunella Café (Cafe)
8 Apple Market
4.6

Fortunella Café is most popular around 1 PM on Saturdays. 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.

The Fallow Deer (Cafe)
130 High St Teddington TW11 8JB United Kingdom
4.4

The Fallow Deer is most popular around 12 PM on Saturdays. 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.

Local Hero (Coffee)
22 Thames St
4.2

Local Hero is most popular around 11 AM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Wednesdays.

Google Maps

Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Kingston upon Thames, United Kingdom. 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.