Best open restaurants Uijeongbu on Thursday evening near you

Nearby open restaurants and hours for food in Uijeongbu South Korea 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.

아사랑 (Chinese restaurant)
32 Dunnya-ro 17beon-gil
4.2

아사랑 is most popular around 1 PM on Saturdays. Visitors usually stay 1-2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

Mad for Garlic Uijeongbu (Italian restaurant)
South Korea, Gyeonggi-do, Uijeongbu-si 평화로 525 (주)신세계 의정부점 9층
4.0

Mad for Garlic Uijeongbu is most popular around 6 PM on Thursdays. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

회룡전통순대국 (Asian restaurant)
South Korea, Gyeonggi-do, Uijeongbu-si, Oemi-ro, 87-7
4.2

회룡전통순대국 is most popular around 7 PM on Fridays. Visitors usually stay 30 min to 1 hr here. It's most quiet on Mondays.

Google Maps

의정생고기 (Restaurant)
South Korea, Euijeongbu
3.9

의정생고기 is most popular around 6 PM on Saturdays. Visitors usually stay 45 min to 2 hr here. It's most quiet on Mondays.

Google Maps

화사랑 아사도 (Asian restaurant)
South Korea, Gyeonggi-do, Uijeongbu-si, 의정부2동
3.9

화사랑 아사도 is most popular around 12 PM on Mondays. Visitors usually stay 30 min to 1,5 hr here. It's most quiet on Sundays.

For more info visit the website or checkout Google Maps.

무해정 (Asian restaurant)
South Korea, Gyeonggi-do, Uijeongbu-si, Ganeung-ro 135beon-gil, 43 신한진그랑빌 110동 101호
4.4

무해정 is most popular around 6 PM on Fridays. Visitors usually stay 30 min to 2 hr here. It's most quiet on Thursdays.

For more info visit the website or checkout Google Maps.

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