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
有sand
Jōyō · KANJIDIC grade 3 · 6 strokes
Find exact-kanji names →possess, have, exist
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
有梨沙
5 source-recorded spellings in this reading group contain both 沙 and 有Given nameArisa
ありさ
有沙実
3 source-recorded spellings in this reading group contain both 沙 and 有Given nameAsami
あさみ
沙有理
2 source-recorded spellings in this reading group contain both 沙 and 有Given nameSayuri
さゆり
沙有佳
2 source-recorded spellings in this reading group contain both 沙 and 有Given nameSayuka
さゆか
有端沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameAzusa
あづさ
有沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameArisu
ありす
有沙子
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameAsako
あさこ
沙有希
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameSayuki
さゆき
有沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameAsuna
あすな
沙有
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameSayu
さゆ
有芽沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameAgasa
あがさ
有理沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameYurisa
ゆりさ
有愛沙
1 source-recorded spelling in this reading group contain both 沙 and 有Given nameYuasa
ゆあさ
沙有
1 source-recorded spelling in this reading group contain both 沙 and 有Sāri
さあり
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.