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.
麻
Jōyō · KANJIDIC grade 8 · 11 strokes
代hemp, flax, numb
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
麻代
3 source-recorded spellings in this reading group contain both 麻 and 代Given nameMasayo
まさよ
麻季代
2 source-recorded spellings in this reading group contain both 麻 and 代Given nameMakiyo
まきよ
麻利代
2 source-recorded spellings in this reading group contain both 麻 and 代Given nameMariyo
まりよ
麻代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameAsayo
あさよ
麻代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMayo
まよ
田麻代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameTamayo
たまよ
麻代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMashiro
ましろ
麻寿代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMasuyo
ますよ
麻知代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMachiyo
まちよ
麻代子
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMayoko
まよこ
麻美代
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMamiyo
まみよ
麻代理
1 source-recorded spelling in this reading group contain both 麻 and 代Given nameMayori
まより
代麻
1 source-recorded spelling in this reading group contain both 麻 and 代Yoma
よま
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.