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.
菜
Jōyō · KANJIDIC grade 4 · 11 strokes
那vegetable, side dish, greens
Jōyō · KANJIDIC grade 8 · 7 strokes
Find exact-kanji names →what?
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
菜那帆
3 source-recorded spellings in this reading group contain both 菜 and 那Given nameNanaho
ななほ
菜那実
2 source-recorded spellings in this reading group contain both 菜 and 那Given nameNanami
ななみ
菜那
2 source-recorded spellings in this reading group contain both 菜 and 那Given nameNana
なな
菜那子
2 source-recorded spellings in this reading group contain both 菜 and 那Given nameNanako
ななこ
菜那夏
2 source-recorded spellings in this reading group contain both 菜 and 那Given nameNanaka
ななか
菜砂那
2 source-recorded spellings in this reading group contain both 菜 and 那Given nameNazuna
なずな
菜那江
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameNanae
ななえ
那菜瀬
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameNanase
ななせ
菜那羽
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameNanaha
ななは
菜那季
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameNanaki
ななき
那月菜
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameNatsuna
なつな
葉那菜
1 source-recorded spelling in this reading group contain both 菜 and 那Given nameBanana
ばなな
菜々那
1 source-recorded spelling in this reading group contain both 菜 and 那Nanana
ななな
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.