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.
代
Jōyō · KANJIDIC grade 3 · 5 strokes
奈substitute, change, convert
Jōyō · KANJIDIC grade 4 · 8 strokes
Find exact-kanji names →Nara, what?
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 代 and 奈Given nameKanayo
かなよ
奈つ代
3 source-recorded spellings in this reading group contain both 代 and 奈Given nameNatsuyo
なつよ
幾代奈
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameKiyona
きよな
波奈代
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameHanayo
はなよ
唯代奈
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameIyona
いよな
未奈代
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameMinayo
みなよ
奈々代
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameNanayo
ななよ
始奈代
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameShinayo
しなよ
奈代実
2 source-recorded spellings in this reading group contain both 代 and 奈Given nameNayomi
なよみ
奈代子
1 source-recorded spelling in this reading group contain both 代 and 奈Given nameNayoko
なよこ
奈美代
1 source-recorded spelling in this reading group contain both 代 and 奈Given nameNamiyo
なみよ
奈代
1 source-recorded spelling in this reading group contain both 代 and 奈Given nameNayo
なよ
奈代梨
1 source-recorded spelling in this reading group contain both 代 and 奈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.