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.
佳
Jōyō · KANJIDIC grade 8 · 8 strokes
代excellent, beautiful, good
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
3 source-recorded spellings in this reading group contain both 佳 and 代Given nameKanayo
かなよ
佳代子
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameKayoko
かよこ
丹佳代
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameTakayo
たかよ
想代佳
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameSoyoka
そよか
佳代実
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameKayomi
かよみ
実佳代
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameMikayo
みかよ
佳代恵
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameKayoe
かよえ
佳祥代
2 source-recorded spellings in this reading group contain both 佳 and 代Given nameKameyo
かめよ
佳代
1 source-recorded spelling in this reading group contain both 佳 and 代Given nameKayo
かよ
喜代佳
1 source-recorded spelling in this reading group contain both 佳 and 代Given nameKiyoka
きよか
佳寿代
1 source-recorded spelling in this reading group contain both 佳 and 代Given nameKazuyo
かずよ
千佳代
1 source-recorded spelling in this reading group contain both 佳 and 代Given nameChikayo
ちかよ
和佳代
1 source-recorded spelling in this reading group contain both 佳 and 代Wakayo
わかよ
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.