Fun things to do Kailua (US)

Popular days & hours to visit attractions in Kailua United States .

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

AI
(Park)
526 Kawailoa Rd
4.8

Kailua Beach Park is most popular around 3 PM on Sundays. Visitors usually stay 25 min to 2 hr here. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

(Other)
265 Kaelepulu Dr
4.8

Lanikai Pillbox Trail is most popular around 11 AM on Tuesdays. Visitors usually stay up to 2.5 hours here. It's most quiet on Saturdays.

This short, sometimes narrow trail features 2 military bunkers & a panoramic view of Lanikai Beach.

For more info visit the website or checkout Google Maps.

(Other)
418 Kuulei Rd #103
4.7

Over Easy is most popular around 10 AM on Sundays. Visitors usually stay 45 min to 1 hr here. It's most quiet on Wednesdays.

Cheery spot for creative breakfast & lunch made using local ingredients, plus cocktails.

For more info visit the website or checkout Google Maps.

(Park)
248 N Kalaheo Ave
4.7

Kalama Beach Park is most popular around 3 PM on Sundays. Visitors usually stay up to 2 hours here. It's most quiet on Mondays.

For more info visit the website or checkout Google Maps.

(Other)
1058 Keolu Dr
3.5

McDonald's is most popular around 7 PM on Fridays. Visitors usually stay 10 min here. It's most quiet on Mondays.

Classic, long-running fast-food chain known for its burgers & fries.

For more info visit the website or checkout Google Maps.

(Park)
21 S Kainalu Dr
4.3

Kailua District Park is most popular around 6 PM on Thursdays. Visitors usually stay 20 min to 2 hr here. It's most quiet on Fridays.

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 Kailua, 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.