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
代Nara, what?
Jōyō · KANJIDIC grade 3 · 5 strokes
Find exact-kanji names →substitute, change, convert
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
佳奈代
4 source-recorded spellings in this reading group contain both 奈 and 代Given nameKanayo
かなよ
奈つ代
3 source-recorded spellings in this reading group contain both 奈 and 代Given nameNatsuyo
なつよ
幾代奈
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameKiyona
きよな
波奈代
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameHanayo
はなよ
唯代奈
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameIyona
いよな
未奈代
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameMinayo
みなよ
奈々代
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameNanayo
ななよ
始奈代
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameShinayo
しなよ
奈代実
2 source-recorded spellings in this reading group contain both 奈 and 代Given nameNayomi
なよみ
奈代子
1 source-recorded spelling in this reading group contain both 奈 and 代Given nameNayoko
なよこ
奈美代
1 source-recorded spelling in this reading group contain both 奈 and 代Given nameNamiyo
なみよ
奈代
1 source-recorded spelling in this reading group contain both 奈 and 代Given nameNayo
なよ
奈代梨
1 source-recorded spelling in this reading group contain both 奈 and 代Nayori
なより
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.