Best open restaurants Princeton on Sunday night near you
Nearby open restaurants and hours for food in Princeton United States on Sunday night: 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.
(Chinese restaurant)
4 Hulfish StLan Ramen is most popular around 5 PM on Saturdays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Tuesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
242 Nassau StHoagie Haven is most popular around 1 PM on Saturdays. Visitors usually stay 15 min here. It's most quiet on Sundays.
For more info visit the website or checkout Google Maps.
(Thai restaurant)
235 Nassau St Ste CThai Village is most popular around 5 PM on Saturdays. It's most quiet on Fridays.
For more info visit the website or checkout Google Maps.
(Restaurant)
277 Witherspoon StThe Meeting House is most popular around 6 PM on Saturdays. Visitors usually stay 1,5-3 hours here. It's most quiet on Wednesdays.
For more info visit the website or checkout Google Maps.
(Restaurant)
80 Nassau StNoodle House | Kung Fu Tea is most popular around 2 PM on Saturdays. Visitors usually stay 15 min to 1 hr here. It's most quiet on Mondays.
For more info visit the website or checkout Google Maps.
(Indian restaurant)
164 Nassau St Princeton, NJ 08542 United StatesThe Mint is most popular around 2 PM on Saturdays. It's most quiet on Thursdays.
For more info visit the website or checkout Google Maps.
Special pages for Princeton United States
View on map
Map view and advanced filters
Nearby cities and areas
Also checkout restaurants in other cities and areas on Sunday night nearby Princeton
Missing venues? This is a free, but limited tool. Use the BestTime software get more world wide foot traffic data in Princeton, 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.