Best things to do Néa Ionía (GR)

Popular days & hours to visit attractions in Néa Ionía Greece .

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

Map
Nea Filadelfeia Forest (Park)
Nea Filadelfia 143 42 Greece
4.4

Nea Filadelfeia Forest is most popular around 1 PM on Sundays. Visitors usually stay up to 1 hour here. It's most quiet on Tuesdays.

Google Maps

Veikou Grove (Park)
Λεωφόρος Βεΐκου Anagenniseos & Galatsi 111 46 Greece
4.7

Veikou Grove is most popular around 1 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Probona park (Park)
Eratonos 2 Athina 111 43 Greece
4.5

Probona park is most popular around 1 PM on Sundays. Visitors usually stay up to 1,5 hours here. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

E-Shop point Γαλάτσι (Other)
Leof. Galatsiou 32 Athina 111 41 Greece
4.4

E-Shop point Γαλάτσι is most popular around 1 PM on Saturdays. Visitors usually stay 10 min here. It's most quiet on Mondays.

Το πρώτο ελληνικό ηλεκτρονικό κατάστημα για: hardware, software, λευκές συσκευές, ήχο-εικόνα, κινητά, βιβλία, παιχνίδια, εργαλεία και μουσικά όργανα

For more info visit the website or checkout Google Maps.

Klonaridis - Fix Park (Park)
Tsiller 10 Athina 111 44 Greece
3.8

Klonaridis - Fix Park is most popular around 7 PM on Sundays. Visitors usually stay up to 45 min here. It's most quiet on Wednesdays.

Google Maps

St. Anastasia's Church of Perissos (Church)
Monis Pirsou Efesou ke Nea Ionia 142 32 Greece
4.6

St. Anastasia's Church of Perissos is most popular around 10 AM on Sundays. It's most quiet on Tuesdays.

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 Néa Ionía, Greece. 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.