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
加thousand
Jōyō · KANJIDIC grade 4 · 5 strokes
Find exact-kanji names →add, addition, increase
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
千加枝
3 source-recorded spellings in this reading group contain both 千 and 加Given nameChikae
ちかえ
千加代
2 source-recorded spellings in this reading group contain both 千 and 加Given nameChikako
ちかこ
光千加
2 source-recorded spellings in this reading group contain both 千 and 加Given nameMichika
みちか
千加世
2 source-recorded spellings in this reading group contain both 千 and 加Given nameChikayo
ちかよ
奈千加
2 source-recorded spellings in this reading group contain both 千 and 加Given nameNachika
なちか
千加
1 source-recorded spelling in this reading group contain both 千 and 加Given nameChika
ちか
沙千加
1 source-recorded spelling in this reading group contain both 千 and 加Given nameSachika
さちか
新千加
1 source-recorded spelling in this reading group contain both 千 and 加Given nameNichika
にちか
千都加
1 source-recorded spelling in this reading group contain both 千 and 加Given nameChizuka
ちづか
千加奈
1 source-recorded spelling in this reading group contain both 千 and 加Given nameChikana
ちかな
千加保
1 source-recorded spelling in this reading group contain both 千 and 加Given nameChikaho
ちかほ
千加景
1 source-recorded spelling in this reading group contain both 千 and 加Given nameChikage
ちかげ
加千枝
1 source-recorded spelling in this reading group contain both 千 and 加Kachie
かちえ
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.