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
未sand
Jōyō · KANJIDIC grade 4 · 5 strokes
Find exact-kanji names →un-, not yet, hitherto
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
未沙希
7 source-recorded spellings in this reading group contain both 沙 and 未Given nameMisaki
みさき
万沙未
4 source-recorded spellings in this reading group contain both 沙 and 未Given nameMasami
まさみ
未沙恵
4 source-recorded spellings in this reading group contain both 沙 and 未Given nameMisae
みさえ
亜沙未
2 source-recorded spellings in this reading group contain both 沙 and 未Given nameAsami
あさみ
未沙都
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameMisato
みさと
未沙
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameMisa
みさ
未沙子
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameMisako
みさこ
未沙央
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameMisao
みさお
沙未
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameSami
さみ
明未沙
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameAmisa
あみさ
未萌沙
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameMimoza
みもざ
沙耶未
1 source-recorded spelling in this reading group contain both 沙 and 未Given nameSayami
さやみ
瀬沙未
1 source-recorded spelling in this reading group contain both 沙 and 未Sesami
せさみ
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.