Best restaurants Suginami-ku (JP)

Popular restaurants and hours for eating in Suginami-ku Japan : Secure a table before rush hour at the most popular restaurants.

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

Hatsune (Ramen restaurant)
3 Chome-11-9 Nishiogiminami Suginami City, Tokyo 167-0053 Japan
4.3

Visitors usually stay 25 min to 1 hr here.

Google Maps

Tsubaki-tei (Japanese restaurant)
2階 1 Chome-4-10 Kamiogi Suginami City, Tokyo 167-0043 Japan
4.1

Tsubaki-tei is most popular around 12 PM on Sundays. It's most quiet on Saturdays.

For more info visit the website or checkout Google Maps.

Hakodate Shio Rāmen Goryōkaku (Ramen restaurant)
3 Chome-28-7 Amanuma Suginami City, Tokyo 167-0032 Japan
4.1

Hakodate Shio Rāmen Goryōkaku is most popular around 12 PM on Wednesdays. Visitors usually stay 30 min here. It's most quiet on Thursdays.

営業時間:11:30~16:00 (売り切れ次第終了) 定休日:月曜日・火曜日 (祝日は営業します) 狭い店内のため、小さなお子様は、ご遠慮いただいております。

For more info visit the website or checkout Google Maps.

New-Burg (Japanese restaurant)
3 Chome-1-14 Koenjikita Suginami City, Tokyo 166-0002 Japan
3.9

New-Burg is most popular around 7 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

SATOブリアンにごう / Sato-Briand 2nd (Japanese restaurant)
2 Chome-17-2 Asagayaminami Suginami City, Tokyo 166-0004 Japan
4.7

SATOブリアンにごう / Sato-Briand 2nd is most popular around 7 PM on Saturdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Ramen Taikei (Ramen restaurant)
1 Chome-23-8 Shimoigusa Suginami City, Tokyo 167-0022 Japan
4.1

Ramen Taikei is most popular around 11 PM on Fridays. Visitors usually stay 25 min here. It's most quiet on Mondays.

Google Maps

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