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.
果
Jōyō · KANJIDIC grade 4 · 8 strokes
奈fruit, reward, carry out
Jōyō · KANJIDIC grade 4 · 8 strokes
Find exact-kanji names →Nara, 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
万奈果
4 source-recorded spellings in this reading group contain both 果 and 奈Given nameManaka
まなか
果奈恵
3 source-recorded spellings in this reading group contain both 果 and 奈Given nameKanae
かなえ
果奈実
2 source-recorded spellings in this reading group contain both 果 and 奈Given nameKanami
かなみ
果奈子
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameKanako
かなこ
果奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameKana
かな
奈果
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameNami
なみ
和果奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameWakana
わかな
奈々果
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameNanaka
ななか
優果奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameYukana
ゆかな
実果奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameMikana
みかな
果津奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameKazuna
かづな
果弥奈
1 source-recorded spelling in this reading group contain both 果 and 奈Given nameKayana
かやな
奈果
1 source-recorded spelling in this reading group contain both 果 and 奈Naka
なか
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.