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
香apricot
Jōyō · KANJIDIC grade 4 · 9 strokes
Find exact-kanji names →incense, smell, perfume
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
杏実香
4 source-recorded spellings in this reading group contain both 杏 and 香Given nameAmika
あみか
杏優香
3 source-recorded spellings in this reading group contain both 杏 and 香Given nameAyuka
あゆか
杏香音
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameAkane
あかね
杏子香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameAsuka
あすか
杏依香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameAika
あいか
杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameKyōko
きょうこ
香杏奈
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameKanna
かんな
杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameMomoka
ももか
杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameKyōka
きょうか
杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameAnka
あんか
杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameKikka
きっか
杏仁香
1 source-recorded spelling in this reading group contain both 杏 and 香Given nameAnika
あにか
琵杏香
1 source-recorded spelling in this reading group contain both 杏 and 香Bianka
びあんか
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.