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.
利
Jōyō · KANJIDIC grade 4 · 7 strokes
阿profit, advantage, benefit
Jinmeiyō · KANJIDIC grade 9 · 8 strokes
Find exact-kanji names →Africa, flatter, fawn upon
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
阿利佐
7 source-recorded spellings in this reading group contain both 利 and 阿Given nameArisa
ありさ
阿恵利
7 source-recorded spellings in this reading group contain both 利 and 阿Given nameAeri
あえり
阿万利
6 source-recorded spellings in this reading group contain both 利 and 阿Given nameAmari
あまり
阿也利
4 source-recorded spellings in this reading group contain both 利 and 阿Given nameAyari
あやり
阿実利
3 source-recorded spellings in this reading group contain both 利 and 阿Given nameAmiri
あみり
阿利佳
3 source-recorded spellings in this reading group contain both 利 and 阿Given nameArika
ありか
阿以利
2 source-recorded spellings in this reading group contain both 利 and 阿Given nameAiri
あいり
阿香利
1 source-recorded spelling in this reading group contain both 利 and 阿Given nameAkari
あかり
阿利須
1 source-recorded spelling in this reading group contain both 利 and 阿Given nameArisu
ありす
真利阿
1 source-recorded spelling in this reading group contain both 利 and 阿Given nameMaria
まりあ
阿利
1 source-recorded spelling in this reading group contain both 利 and 阿Given nameAri
あり
阿利子
1 source-recorded spelling in this reading group contain both 利 and 阿Given nameAriko
ありこ
阿久利
1 source-recorded spelling in this reading group contain both 利 and 阿Aguri
あぐり
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.