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.
加
Jōyō · KANJIDIC grade 4 · 5 strokes
都add, addition, increase
Jinmeiyō · KANJIDIC grade 10 · 11 strokes
Find exact-kanji names →capital, metropolis
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
万都加
3 source-recorded spellings in this reading group contain both 加 and 都Given nameMadoka
まどか
志都加
2 source-recorded spellings in this reading group contain both 加 and 都Given nameShizuka
しづか
都加佐
2 source-recorded spellings in this reading group contain both 加 and 都Given nameTsukasa
つかさ
加都子
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKazuko
かずこ
加都美
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKazumi
かずみ
加都枝
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKazue
かずえ
加都子
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKatsuko
かつこ
以都加
1 source-recorded spelling in this reading group contain both 加 and 都Given nameItsuka
いつか
加都江
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKatsue
かつえ
都加
1 source-recorded spelling in this reading group contain both 加 and 都Given nameSatoka
さとか
千都加
1 source-recorded spelling in this reading group contain both 加 and 都Given nameChizuka
ちづか
加都
1 source-recorded spelling in this reading group contain both 加 and 都Given nameKatsu
かつ
茉都加
1 source-recorded spelling in this reading group contain both 加 and 都Matsuka
まつか
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.