Best open restaurants Mykolaiv on Thursday evening near you
Nearby open restaurants and hours for food in Mykolaiv Ukraine 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.
(Restaurant)
Sportyvna St, 2a Mykolaiv Mykolaiv Oblast, Ukraine 54000Daily Sport is most popular around 6 PM on Fridays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Japanese restaurant)
Central Ave, 93В Mykolaiv Mykolaiv Oblast, Ukraine 54000Якіторія is most popular around 5 PM on Thursdays. Visitors usually stay 10 min to 1,5 hr here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
(Restaurant)
64A, Shevchenka St, 64А Mykolaiv Mykolaiv Oblast, Ukraine 54000Dvi Palychky is most popular around 3 PM on Saturdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Italian restaurant)
Spas'ka St, 6Roppongi & La Terrazza ( R&T) is most popular around 5 PM on Sundays. Visitors usually stay 30 min to 3 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Restaurant)
Shosseina St, 15 Mykolaiv Mykolaiv Oblast, Ukraine 55200Flibust'yer is most popular around 4 PM on Thursdays. Visitors usually stay 25 min to 2,5 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
Special pages for Mykolaiv Ukraine
View on map
Map view and advanced filters
Nearby cities and areas
Also checkout restaurants in other cities and areas on Thursday evening nearby Mykolaiv
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Mykolaiv, Ukraine. 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.