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.
未
Jōyō · KANJIDIC grade 4 · 5 strokes
留un-, not yet, hitherto
Jōyō · KANJIDIC grade 5 · 10 strokes
Find exact-kanji names →detain, fasten, halt
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
未千留
2 source-recorded spellings in this reading group contain both 未 and 留Given nameMichiru
みちる
依未留
2 source-recorded spellings in this reading group contain both 未 and 留Given nameEmiru
えみる
未扇留
2 source-recorded spellings in this reading group contain both 未 and 留Given nameMirakuru
みらくる
未留
1 source-recorded spelling in this reading group contain both 未 and 留Given nameHitomi
ひとみ
未羽留
1 source-recorded spelling in this reading group contain both 未 and 留Given nameMiharu
みはる
宮留未
1 source-recorded spelling in this reading group contain both 未 and 留Given nameKurumi
くるみ
留未子
1 source-recorded spelling in this reading group contain both 未 and 留Given nameRumiko
るみこ
留未
1 source-recorded spelling in this reading group contain both 未 and 留Given nameRumi
るみ
未留来
1 source-recorded spelling in this reading group contain both 未 and 留Given nameMiruku
みるく
未駆留
1 source-recorded spelling in this reading group contain both 未 and 留Given nameMikuru
みくる
留未華
1 source-recorded spelling in this reading group contain both 未 and 留Given nameRumika
るみか
未留
1 source-recorded spelling in this reading group contain both 未 and 留Given nameMiru
みる
未留可
1 source-recorded spelling in this reading group contain both 未 and 留Miruka
みるか
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.