German nature vocabulary
These are the German words about nature that come up most often in real speech, ranked by how often they appear in film and TV subtitles. Start with the first ones, such as Welt (world), Mama (mum), Hund (dog), because you will run into them on almost any page about the subject, and the rarer words make more sense once those are familiar.
Words in this list: 30
| # | Word | Pronunciation | Translation | Level |
|---|---|---|---|---|
| 1 | Welt | /vɛlt/ | world | A1 |
| 2 | Mama | /ˈma.ma/ | mum | A1 |
| 3 | Hund | /hʊnt/ | dog | A2 |
| 4 | Körper | /ˈkœʁ.pɐ/ | body | A2 |
| 5 | Leiche | /ˈlaɪ̯çə/ | corpse | A2 |
| 6 | Pferd | /pfeː.ɐ̯t/ | horse | A2 |
| 7 | jung | /jʊŋ/ | young | A2 |
| 8 | Haut | /haʊ̯t/ | skin | A2 |
| 9 | Sonne | /ˈzɔnə/ | sun | A2 |
| 10 | Bank | /baŋk/ | bank | A2 |
| 11 | Königin | /ˈkøːnɪɡɪn/ | queen | A2 |
| 12 | Schwein | /ʃvaɪ̯n/ | pig | A2 |
| 13 | See | /zeː/ | lake | B1 |
| 14 | Meer | /meːɐ̯/ | sea | B1 |
| 15 | Haar | /haːɐ̯/ | hair | B1 |
| 16 | Tier | /tiːɐ̯/ | animal | B1 |
| 17 | Rose | /ˈʁoː.zə/ | rose | B1 |
| 18 | Baum | /baʊ̯m/ | tree | B1 |
| 19 | Katze | /ˈkat͡sə/ | cat | B1 |
| 20 | Schwanz | /ʃvant͡s/ | tail | B1 |
| 21 | Stein | /ʃtaɪ̯n/ | stone | B1 |
| 22 | Fisch | /fɪʃ/ | fish | B1 |
| 23 | Vogel | /ˈfoː.ɡl̩/ | bird | B1 |
| 24 | Strand | /ʃtʁant/ | beach | B1 |
| 25 | Fluss | /flʊs/ | river | B1 |
| 26 | Mond | /moːnt/ | moon | B1 |
| 27 | Berg | /bɛʁk/ | mountain | B1 |
| 28 | Ross | /ʁɔs/ | steed | B1 |
| 29 | Gras | /ɡʁaːs/ | grass | B1 |
| 30 | Kuh | /kuː/ | cow | B1 |
How to make these words stick
A list helps you see what matters, but a word only stays after you have met it several times in real sentences and pulled it out of memory yourself. That is how NativeLingo works: it swaps a few of these words into the pages you already read, at your level and in the right form, and then a short daily review asks you to type them back.
Try it on what you read today.
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Sources: translations and pronunciation from Wiktionary (wikdict, CC BY-SA 3.0) and ipa-dict (MIT), frequency from OpenSubtitles (FrequencyWords).