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.
佳
Jōyō · KANJIDIC grade 8 · 8 strokes
都excellent, beautiful, good
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
万都佳
4 source-recorded spellings in this reading group contain both 佳 and 都Given nameMadoka
まどか
史都佳
3 source-recorded spellings in this reading group contain both 佳 and 都Given nameShizuka
しずか
佳都夫
2 source-recorded spellings in this reading group contain both 佳 and 都Given nameKatsuo
かつお
佳都子
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameKazuko
かずこ
佳都枝
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameKazue
かづえ
佳都美
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameKatsumi
かつみ
佳都子
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameKatsuko
かつこ
衣都佳
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameItsuka
いつか
乃都佳
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameNodoka
のどか
都史佳
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameToshika
としか
都佳
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameMiyaka
みやか
佳都楼
1 source-recorded spelling in this reading group contain both 佳 and 都Given nameKatsurō
かつろう
茉都佳
1 source-recorded spelling in this reading group contain both 佳 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.