Best things to do Hirakata (JP)

Popular days & hours to visit attractions in Hirakata Japan .

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

Doyama Park (Park)
2 Chome-18 Doyama Hirakata, Osaka 573-0007 Japan
3.7

Doyama Park is most popular around 4 PM on Wednesdays. It's most quiet on Fridays.

For more info visit the website or checkout Google Maps.

Kudarajiato Park (Park)
1 Nakamiya Nishinocho Hirakata, Osaka 573-0021 Japan
3.5

Kudarajiato Park is most popular around 4 PM on Sundays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Gotenyama Park (Park)
12 Nagisahonmachi Hirakata, Osaka 573-1181 Japan
4.0

Gotenyama Park is most popular around 10 PM on Thursdays. It's most quiet on Wednesdays.

Google Maps

Ango Park (Park)
1 Chome-5-12 Higashitamiya Hirakata, Osaka 573-0023 Japan
3.7

Ango Park is most popular around 3 PM on Saturdays. It's most quiet on Tuesdays.

For more info visit the website or checkout Google Maps.

Diana Korien (Other)
8-1 Korishinmachi Neyagawa, Osaka 572-0085 Japan
2.2

Diana Korien is most popular around 3 PM on Sundays. Visitors usually stay 1-3,5 hours here. It's most quiet on Mondays.

ぱちんこ&スロット 『ダイアナ香里園店』です。 みなさまに楽しんで頂ける快適な空間づくりを行なっていきます。 みなさま是非遊びにいらしてください☆

For more info visit the website or checkout Google Maps.

Hirakata Municipal Goten-yama Lifelong Learning Center / Goten-yama Library (Library)
10-16 Gotenyamacho Hirakata, Osaka 573-1182 Japan
3.7

Hirakata Municipal Goten-yama Lifelong Learning Center / Goten-yama Library is most popular around 1 PM on Saturdays. Visitors usually stay up to 2,5 hours here. It's most quiet on Mondays.

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 Hirakata, Japan. 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.