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.
安
Jōyō · KANJIDIC grade 3 · 6 strokes
奈relax, cheap, low
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
安伎奈
12 source-recorded spellings in this reading group contain both 安 and 奈Given nameAkina
あきな
安佐奈
9 source-recorded spellings in this reading group contain both 安 and 奈Given nameAsana
あさな
安弥奈
2 source-recorded spellings in this reading group contain both 安 and 奈Given nameAyana
あやな
安佑奈
2 source-recorded spellings in this reading group contain both 安 and 奈Given nameAyuna
あゆな
安理奈
2 source-recorded spellings in this reading group contain both 安 and 奈Given nameArina
ありな
安奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameAnna
あんな
安佳奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameAkana
あかな
安奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameYasuna
やすな
安麻奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameAmana
あまな
安天奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameAtena
あてな
李安奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameRiana
りあな
安奈
1 source-recorded spelling in this reading group contain both 安 and 奈Given nameAna
あな
奈安
1 source-recorded spelling in this reading group contain both 安 and 奈Daia
だいあ
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.