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.
麻
Jōyō · KANJIDIC grade 8 · 11 strokes
紗hemp, flax, numb
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
麻紗実
4 source-recorded spellings in this reading group contain both 麻 and 紗Given nameMasami
まさみ
麻理紗
4 source-recorded spellings in this reading group contain both 麻 and 紗Given nameMarisa
まりさ
麻紗実
3 source-recorded spellings in this reading group contain both 麻 and 紗Given nameAsami
あさみ
麻紗恵
3 source-recorded spellings in this reading group contain both 麻 and 紗Given nameMasae
まさえ
麻亜紗
2 source-recorded spellings in this reading group contain both 麻 and 紗Given nameMāsa
まあさ
麻亜紗
2 source-recorded spellings in this reading group contain both 麻 and 紗Given nameMāsha
まーしゃ
麻紗子
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameMasako
まさこ
麻紗
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameAsa
あさ
麻紗
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameMasa
まさ
麻紗穂
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameAsaho
あさほ
麻依紗
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameMaisa
まいさ
麻紗
1 source-recorded spelling in this reading group contain both 麻 and 紗Given nameSāsha
さーしゃ
紗麻亜
1 source-recorded spelling in this reading group contain both 麻 and 紗Samā
さまあ
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.