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.
妃
Jōyō · KANJIDIC grade 8 · 6 strokes
菜queen, princess
Jōyō · KANJIDIC grade 4 · 11 strokes
Find exact-kanji names →vegetable, side dish, greens
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
佑妃菜
3 source-recorded spellings in this reading group contain both 妃 and 菜Given nameYukina
ゆきな
妃菜喜
3 source-recorded spellings in this reading group contain both 妃 and 菜Given nameHinaki
ひなき
妃菜乃
2 source-recorded spellings in this reading group contain both 妃 and 菜Given nameHinano
ひなの
菜都妃
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameNatsuki
なつき
妃菜
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHina
ひな
妃菜子
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHinako
ひなこ
妃菜里
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHinari
ひなり
妃菜香
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHinaka
ひなか
妃明菜
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHimena
ひめな
妃衣菜
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameHīna
ひいな
菜都妃
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameNatsuhi
なつひ
妃菜都
1 source-recorded spelling in this reading group contain both 妃 and 菜Given nameKinatsu
きなつ
舞妃菜
1 source-recorded spelling in this reading group contain both 妃 and 菜Mahina
まひな
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.