Zootopia — Top 100 Words
If you are learning English through TV shows, "Zootopia" is an excellent choice because its dialogue is fast, natural, and full of everyday vocabulary. Some of the most common English words in "Zootopia" include phrases like "go savage" (B2), "shut up" (A2), "ice" (A2), "make a difference" (B1), "maul" (C1), "grow up" (A2), "stop" (A1), "missing mammal case" (B2), "move" (A1), "lie" (A2), "assign" (B2), "open up" (B1), "get along" (B1), "go nuts" (B2), "find out" (A2), "take the case" (B1), "hustle" (B2), "bet" (A2), "dart" (B1), and "mission accomplished" (B1). You will hear Officer Judy Hopps say "make a difference" when she joins the force, Nick Wilde shout "go savage" during the climax, and Chief Bogo use phrases like "assign" and "take the case." Even Flash the sloth has a memorable "ice" joke. The show mixes clear speech with slang, making it ideal for learners who want to hear real conversations. Bellwether’s manipulative lines also give you "lie" and "open up" in context.
SaveWordly lets you enjoy watching without pausing or interruptions. Here is how it works: first, browse a word list of the most common vocabulary from "Zootopia" before you start watching. Then, watch the episode without stopping. Afterward, save any words you want to remember — like "hustle" or "get along" — and practice them with an AI tutor to make them stick. This method means you never break the flow of the show, and you learn the words in the exact context where they appear, such as Nick Wilde saying "go nuts" or Judy promising "mission accomplished."
"Zootopia" is best suited for learners at an A2 to B2 level. Beginners will catch simple commands like "stop" and "shut up," while intermediate learners can tackle more complex phrases like "missing mammal case" and "maul." Advanced learners benefit from the idiomatic "go savage" and the rapid-fire dialogue between characters like Nick and Judy. The show’s humor and clear story make it a fun, low-pressure way to build vocabulary without feeling like study.
* These frequency counts are approximate values based on AI-extracted vocabulary data.