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.
千
Jōyō · KANJIDIC grade 1 · 3 strokes
沙thousand
Jōyō · KANJIDIC grade 8 · 7 strokes
Find exact-kanji names →sand
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
沙千恵
3 source-recorded spellings in this reading group contain both 千 and 沙Given nameSachie
さちえ
千沙季
3 source-recorded spellings in this reading group contain both 千 and 沙Given nameChisaki
ちさき
千沙登
2 source-recorded spellings in this reading group contain both 千 and 沙Given nameChisato
ちさと
沙千加
2 source-recorded spellings in this reading group contain both 千 and 沙Given nameSachika
さちか
沙千世
2 source-recorded spellings in this reading group contain both 千 and 沙Given nameSachiyo
さちよ
沙千子
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameSachiko
さちこ
千沙
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameKazusa
かずさ
千沙
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameChisa
ちさ
千沙子
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameChisako
ちさこ
沙千
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameSachi
さち
千宮沙
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameChigusa
ちぐさ
千嘉沙
1 source-recorded spelling in this reading group contain both 千 and 沙Given nameChikasa
ちかさ
千沙由
1 source-recorded spelling in this reading group contain both 千 and 沙Chisayu
ちさゆ
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.