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.
優
Jōyō · KANJIDIC grade 6 · 17 strokes
利tenderness, excel, surpass
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →profit, advantage, benefit
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
優利菜
2 source-recorded spellings in this reading group contain both 優 and 利Given nameYurina
ゆりな
優佳利
2 source-recorded spellings in this reading group contain both 優 and 利Given nameYukari
ゆかり
優利恵
2 source-recorded spellings in this reading group contain both 優 and 利Given nameYurie
ゆりえ
実優利
2 source-recorded spellings in this reading group contain both 優 and 利Given nameMiyuri
みゆり
優利佳
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYurika
ゆりか
優之利
1 source-recorded spelling in this reading group contain both 優 and 利Given nameMasanori
まさのり
優利
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYūri
ゆうり
優利
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYuri
ゆり
優利亜
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYuria
ゆりあ
優利子
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYuriko
ゆりこ
有優利
1 source-recorded spelling in this reading group contain both 優 and 利Given nameAyuri
あゆり
優利穂
1 source-recorded spelling in this reading group contain both 優 and 利Given nameYuriho
ゆりほ
利優
1 source-recorded spelling in this reading group contain both 優 and 利Riyū
りゆう
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.