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.
杏
Jinmeiyō · KANJIDIC grade 9 · 7 strokes
樹apricot
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
樹梨杏
4 source-recorded spellings in this reading group contain both 杏 and 樹Given nameJurian
じゅりあん
杏樹奈
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAkina
あきな
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAki
あき
樹杏
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameItsuki
いつき
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAnna
あんな
樹莉杏
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameJuria
じゅりあ
樹杏
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameKikyō
ききょう
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAzuki
あずき
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAnju
あんじゅ
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAzu
あず
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameAnji
あんじ
樹杏
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameJuan
じゅあん
樹奈杏
1 source-recorded spelling in this reading group contain both 杏 and 樹Given nameJunan
じゅなん
杏樹
1 source-recorded spelling in this reading group contain both 杏 and 樹Kyōju
きょうじゅ
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.