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
優hemp, flax, numb
Jōyō · KANJIDIC grade 6 · 17 strokes
Find exact-kanji names →tenderness, excel, surpass
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
麻優美
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayumi
まゆみ
麻優香
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuka
まゆか
麻優
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayu
まゆ
麻優子
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuko
まゆこ
麻優
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMaya
まや
優麻
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameYuma
ゆま
麻優稀
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuki
まゆき
麻優里
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuri
まゆり
麻優奈
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuna
まゆな
麻優香
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayaka
まやか
麻優乃
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMayuno
まゆの
麻沙優
1 source-recorded spelling in this reading group contain both 麻 and 優Given nameMasayu
まさゆ
麻優愛
1 source-recorded spelling in this reading group contain both 麻 and 優Mayua
まゆあ
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.