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.
裕
Jōyō · KANJIDIC grade 8 · 12 strokes
香abundant, rich, fertile
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
裕利香
4 source-recorded spellings in this reading group contain both 裕 and 香Given nameYurika
ゆりか
裕香梨
3 source-recorded spellings in this reading group contain both 裕 and 香Given nameYukari
ゆかり
万裕香
3 source-recorded spellings in this reading group contain both 裕 and 香Given nameMayuka
まゆか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYuka
ゆか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYūka
ゆうか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYūko
ゆうこ
裕香子
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYukako
ゆかこ
裕美香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYumika
ゆみか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameHiroka
ひろか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYutaka
ゆたか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameYasuka
やすか
水裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Given nameMiyuka
みゆか
裕香
1 source-recorded spelling in this reading group contain both 裕 and 香Masaka
まさか
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.