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.
華
Jōyō · KANJIDIC grade 8 · 10 strokes
由splendor, flower, petal
Jōyō · KANJIDIC grade 3 · 5 strokes
Find exact-kanji names →wherefore, a reason
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
万由華
4 source-recorded spellings in this reading group contain both 華 and 由Given nameMayuka
まゆか
由華理
2 source-recorded spellings in this reading group contain both 華 and 由Given nameYukari
ゆかり
由布華
2 source-recorded spellings in this reading group contain both 華 and 由Given nameYūka
ゆうか
安由華
2 source-recorded spellings in this reading group contain both 華 and 由Given nameAyuka
あゆか
由莉華
2 source-recorded spellings in this reading group contain both 華 and 由Given nameYurika
ゆりか
富由華
2 source-recorded spellings in this reading group contain both 華 and 由Given nameFuyuka
ふゆか
由華
1 source-recorded spelling in this reading group contain both 華 and 由Given nameYuka
ゆか
由華子
1 source-recorded spelling in this reading group contain both 華 and 由Given nameYukako
ゆかこ
由美華
1 source-recorded spelling in this reading group contain both 華 and 由Given nameYumika
ゆみか
由華
1 source-recorded spelling in this reading group contain both 華 and 由Given nameYoshika
よしか
弥由華
1 source-recorded spelling in this reading group contain both 華 and 由Given nameMiyuka
みゆか
華由咲
1 source-recorded spelling in this reading group contain both 華 and 由Given nameKagura
かぐら
華由子
1 source-recorded spelling in this reading group contain both 華 and 由Kayuko
かゆこ
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.