Aniphoria
Avatar
Jibanyan

Character profile

Jibanyan

ジバニャン

Jibanyan is a main character in Yo-kai Watch (2014). This page lists 9 anime and 4 manga, voiced by Etsuko Kozakura (JAPANESE) and Rita Almeida (PORTUGUESE).

9 anime appearances4 manga appearances8 voice actors159 AniList favorites

About Jibanyan

Akamaru was his pet name given by his owner Emi when he was still alive. As a Yo-Kai, he resorts to possessing people to fight on-coming trucks after numerous failed attempts to do so by himself. Luckily, he is stopped and befriended by Nathan and Whisper and decided to move into their house. He initially shows a mischievous and carefree side, easily breaking the rules and ultimately, nearly, being exorcised and having to be saved by Nathan. However, he quickly makes amends shortly thereafter. Jibanyan has an affinity for chocolate bars and anything related to his favorite music group MeowKB. Jibanyan is also eager to fight over other Yo-Kai when needed, as shown in Signibble's assault at Nathan's sleepover. Also, he is quick to take action in dire moments, such as trying to force summoning when Nathan is possessed by Babblong and trying to prove superior to Robonyan, his robotic counterpart.

Also known as
Akamaru

About Jibanyan

Most fans meet Jibanyan in Yo-kai Watch, where they are a main character. Our records show nine anime appearances plus four manga. Other names: Akamaru.

Where to find Jibanyan

Etsuko Kozakura voices Jibanyan in the original Japanese. In English, the role goes to Kira Buckland. You can also find them in Yo-Kai Watch: The Movie, Youkai Watch!, and Cardfight!! Vanguard Shinemon Arc.

FAQ

What anime is Jibanyan in?

Yo-kai Watch, Yo-Kai Watch: The Movie, and Youkai Watch!, among others.

Who voices Jibanyan in English?

Kira Buckland.

Who is Jibanyan's Japanese voice actor?

Etsuko Kozakura.

Anime appearances

Series, films and specials featuring this character.

Manga appearances

Manga, light novels and webtoons featuring this character.

Voices behind the character

Voice actors across languages.