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
樹hemp, flax, numb
Jōyō · KANJIDIC grade 6 · 16 strokes
Find exact-kanji names →timber, trees, wood
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
麻樹子
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameAkiko
あきこ
麻樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMaki
まき
麻樹子
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMakiko
まきこ
麻樹枝
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMakie
まきえ
麻由樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMayuki
まゆき
麻綾樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameAyaki
あやき
麻樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameAsaki
あさき
麻樹生
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMakio
まきお
麻樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameAsagi
あさぎ
千麻樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameChimaki
ちまき
麻樹奈
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMakina
まきな
麻樹那
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMajuna
まじゅな
麻華樹
1 source-recorded spelling in this reading group contain both 麻 and 樹Given nameMakaju
まかじゅ
麻樹亞
1 source-recorded spelling in this reading group contain both 麻 and 樹Makia
まきあ
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.