Best open restaurants Kita-ku on Thursday evening near you
Nearby open restaurants and hours for food in Kita-ku Japan on Thursday evening: Secure a table before rush hour at the most popular open restaurants near you.
Adjust the filters to find for example your desired busy,
quiet,
expensive, or
highly rated restaurants.
(Ramen restaurant)
Japan 〒171-0022 Tokyo, Toshima City, Minamiikebukuro, 1 Chome−17−1 崎本ビル1FMutekiya is most popular around 7 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.
(Restaurant)
2 Chome-26-8 NishinipporiIchiyoshi Soba is most popular around 12 PM on Saturdays. Visitors usually stay 20 min here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
(Ramen restaurant)
サニーサイドビルIchiran Ikebukuro is most popular around 8 PM on Fridays. 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.
(Ramen restaurant)
JapanMendokoro Hanada Ikebukuro is most popular around 8 PM on Saturdays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Japanese restaurant)
富士ビル 6FYakiniku Watami is most popular around 8 PM on Fridays. Visitors usually stay 1,5-3 hours here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Ramen restaurant)
1 Chome-13-14 Higashiikebukuro Toshima City, Tokyo 170-0013 JapanVisitors usually stay 30 min to 1,5 hr here.
For more info visit the website or checkout Google Maps.
Special pages for Kita-ku Japan
View on map
Map view and advanced filters
Nearby cities and areas
Also checkout restaurants in other cities and areas on Thursday evening nearby Kita-ku
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Kita-ku, Japan. 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.