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.
未
Jōyō · KANJIDIC grade 4 · 5 strokes
花un-, not yet, hitherto
Jōyō · KANJIDIC grade 1 · 7 strokes
Find exact-kanji names →flower
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
安未花
3 source-recorded spellings in this reading group contain both 未 and 花Given nameAmika
あみか
愛未花
2 source-recorded spellings in this reading group contain both 未 and 花Given nameEmika
えみか
未花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMika
みか
未来花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameAsuka
あすか
未花子
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMikako
みかこ
有未花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameYumika
ゆみか
未千花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMichika
みちか
未夢花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMiyuka
みゆか
桃未花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameTomika
とみか
未来花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMikika
みきか
未花梨
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMikarin
みかりん
未来花
1 source-recorded spelling in this reading group contain both 未 and 花Given nameMikuka
みくか
路未花
1 source-recorded spelling in this reading group contain both 未 and 花Romika
ろみか
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.