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.
理
Jōyō · KANJIDIC grade 2 · 11 strokes
紗logic, arrangement, reason
Jinmeiyō · KANJIDIC grade 9 · 10 strokes
Find exact-kanji names →gauze, gossamer
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
亜理紗
6 source-recorded spellings in this reading group contain both 理 and 紗Given nameArisa
ありさ
紗央理
3 source-recorded spellings in this reading group contain both 理 and 紗Given nameSaori
さおり
紗友理
3 source-recorded spellings in this reading group contain both 理 and 紗Given nameSayuri
さゆり
恵理紗
3 source-recorded spellings in this reading group contain both 理 and 紗Given nameErisa
えりさ
真理紗
3 source-recorded spellings in this reading group contain both 理 and 紗Given nameMarisa
まりさ
紗理
2 source-recorded spellings in this reading group contain both 理 and 紗Given nameSarī
さりい
紗理奈
2 source-recorded spellings in this reading group contain both 理 and 紗Given nameSarina
さりな
理紗
1 source-recorded spelling in this reading group contain both 理 and 紗Given nameRisa
りさ
理紗子
1 source-recorded spelling in this reading group contain both 理 and 紗Given nameRisako
りさこ
紗理
1 source-recorded spelling in this reading group contain both 理 and 紗Given nameSari
さり
紗理夏
1 source-recorded spelling in this reading group contain both 理 and 紗Given nameSarika
さりか
紗季理
1 source-recorded spelling in this reading group contain both 理 and 紗Given nameSagiri
さぎり
由理紗
1 source-recorded spelling in this reading group contain both 理 and 紗Yurisa
ゆりさ
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.