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.
都
Jinmeiyō · KANJIDIC grade 10 · 11 strokes
佳capital, metropolis
Jōyō · KANJIDIC grade 8 · 8 strokes
Find exact-kanji names →excellent, beautiful, good
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 都 and 佳Given nameMadoka
まどか
史都佳
3 source-recorded spellings in this reading group contain both 都 and 佳Given nameShizuka
しずか
佳都夫
2 source-recorded spellings in this reading group contain both 都 and 佳Given nameKatsuo
かつお
佳都子
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameKazuko
かずこ
佳都枝
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameKazue
かづえ
佳都美
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameKatsumi
かつみ
佳都子
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameKatsuko
かつこ
衣都佳
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameItsuka
いつか
乃都佳
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameNodoka
のどか
都史佳
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameToshika
としか
都佳
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameMiyaka
みやか
佳都楼
1 source-recorded spelling in this reading group contain both 都 and 佳Given nameKatsurō
かつろう
茉都佳
1 source-recorded spelling in this reading group contain both 都 and 佳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.