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
和tenderness, excel, surpass
Jōyō · KANJIDIC grade 3 · 8 strokes
Find exact-kanji names →harmony, Japanese style, peace
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
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameYuka
ゆか
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameYūka
ゆうか
和優
1 source-recorded spelling in this reading group contain both 優 and 和Given nameAyu
あゆ
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameYūna
ゆうな
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameMana
まな
和優
1 source-recorded spelling in this reading group contain both 優 and 和Given nameMahiro
まひろ
和優
1 source-recorded spelling in this reading group contain both 優 and 和Given nameKaya
かや
和優子
1 source-recorded spelling in this reading group contain both 優 and 和Given nameAyuko
あゆこ
和優
1 source-recorded spelling in this reading group contain both 優 and 和Given nameKazumasa
かずまさ
和優
1 source-recorded spelling in this reading group contain both 優 and 和Given nameKayu
かゆ
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameYūwa
ゆうわ
優和
1 source-recorded spelling in this reading group contain both 優 and 和Given nameYuwa
ゆわ
和優
1 source-recorded spelling in this reading group contain both 優 and 和Wayū
わゆう
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.