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
未capital, metropolis
Jōyō · KANJIDIC grade 4 · 5 strokes
Find exact-kanji names →un-, not yet, hitherto
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
恵都未
4 source-recorded spellings in this reading group contain both 都 and 未Given nameEtsumi
えつみ
未沙都
2 source-recorded spellings in this reading group contain both 都 and 未Given nameMisato
みさと
未都揮
2 source-recorded spellings in this reading group contain both 都 and 未Given nameMitsuki
みつき
日都未
1 source-recorded spelling in this reading group contain both 都 and 未Given nameHitomi
ひとみ
奈都未
1 source-recorded spelling in this reading group contain both 都 and 未Given nameNatsumi
なつみ
郁都未
1 source-recorded spelling in this reading group contain both 都 and 未Given nameItsumi
いつみ
未都子
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMitsuko
みつこ
未都江
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMitsue
みつえ
未湖都
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMikoto
みこと
未都
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMito
みと
都未枝
1 source-recorded spelling in this reading group contain both 都 and 未Given nameTomie
とみえ
都未
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMiyabi
みやび
未奈都
1 source-recorded spelling in this reading group contain both 都 and 未Given nameMinato
みなと
未都
1 source-recorded spelling in this reading group contain both 都 and 未Mitsu
みつ
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.