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.
沙
Jōyō · KANJIDIC grade 8 · 7 strokes
真sand
Jōyō · KANJIDIC grade 3 · 10 strokes
Find exact-kanji names →true, reality, Buddhist sect
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
真沙実
5 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasami
まさみ
真沙妃
4 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasaki
まさき
真沙恵
4 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasae
まさえ
真沙尾
3 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasao
まさお
真沙史
2 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasashi
まさし
真沙世
2 source-recorded spellings in this reading group contain both 沙 and 真Given nameMasayo
まさよ
真亜沙
2 source-recorded spellings in this reading group contain both 沙 and 真Given nameMāsa
まあさ
真梨沙
2 source-recorded spellings in this reading group contain both 沙 and 真Given nameMarisa
まりさ
真沙希
1 source-recorded spelling in this reading group contain both 沙 and 真Given nameMisaki
みさき
真沙子
1 source-recorded spelling in this reading group contain both 沙 and 真Given nameMasako
まさこ
沙由真
1 source-recorded spelling in this reading group contain both 沙 and 真Given nameSayumi
さゆみ
真沙
1 source-recorded spelling in this reading group contain both 沙 and 真Given nameMasa
まさ
真沙優
1 source-recorded spelling in this reading group contain both 沙 and 真Masayu
まさゆ
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.