Corpus composition research
Kanji Pair Research
Enter one kanji to discover other characters recorded in the same JMnedict name spellings, or enter two kanji to inspect that exact co-occurrence. Every count in this research view describes the imported corpus—not population popularity in Japan.
奈
Jōyō · KANJIDIC grade 4 · 8 strokes
乃Nara, what?
Jinmeiyō · KANJIDIC grade 9 · 2 strokes
Find exact-kanji names →from, possessive particle, whereupon
Recorded names
Name readings containing both characters
The pair only has to occur in the same written form; the two kanji are not required to be adjacent unless counted in the adjacency statistics above.
Given name
妃奈乃
8 source-recorded spellings in this reading group contain both 奈 and 乃Given nameHinano
ひなの
羽奈乃
3 source-recorded spellings in this reading group contain both 奈 and 乃Given nameHanano
はなの
奈つ乃
3 source-recorded spellings in this reading group contain both 奈 and 乃Given nameNatsuno
なつの
奈乃羽
2 source-recorded spellings in this reading group contain both 奈 and 乃Given nameNanoha
なのは
奈乃花
2 source-recorded spellings in this reading group contain both 奈 and 乃Given nameNanoka
なのか
千奈乃
2 source-recorded spellings in this reading group contain both 奈 and 乃Given nameNano
なの
乃奈
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameNona
のな
史奈乃
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameShinano
しなの
奈乃子
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameNanoko
なのこ
乃奈
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameDaina
だいな
千奈乃
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameChinano
ちなの
実奈乃
1 source-recorded spelling in this reading group contain both 奈 and 乃Given nameMinano
みなの
奈穂乃
1 source-recorded spelling in this reading group contain both 奈 and 乃Nahono
なほの
Evidence boundary
Co-occurrence is not popularity or etymology
The pair relation comes from exact JMnedict source rows through the compact kanji-usage index. KANJIDIC2 contributes character metadata only. A high corpus count can reflect dictionary coverage and should not be read as a national usage frequency.