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.
和
Jōyō · KANJIDIC grade 3 · 8 strokes
優harmony, Japanese style, peace
Jōyō · KANJIDIC grade 6 · 17 strokes
Find exact-kanji names →tenderness, excel, surpass
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 和 and 優Given nameYuka
ゆか
優和
1 source-recorded spelling in this reading group contain both 和 and 優Given nameYūka
ゆうか
和優
1 source-recorded spelling in this reading group contain both 和 and 優Given nameAyu
あゆ
優和
1 source-recorded spelling in this reading group contain both 和 and 優Given nameYūna
ゆうな
優和
1 source-recorded spelling in this reading group contain both 和 and 優Given nameMana
まな
和優
1 source-recorded spelling in this reading group contain both 和 and 優Given nameMahiro
まひろ
和優
1 source-recorded spelling in this reading group contain both 和 and 優Given nameKaya
かや
和優子
1 source-recorded spelling in this reading group contain both 和 and 優Given nameAyuko
あゆこ
和優
1 source-recorded spelling in this reading group contain both 和 and 優Given nameKazumasa
かずまさ
和優
1 source-recorded spelling in this reading group contain both 和 and 優Given nameKayu
かゆ
優和
1 source-recorded spelling in this reading group contain both 和 and 優Given nameYūwa
ゆうわ
優和
1 source-recorded spelling in this reading group contain both 和 and 優Given nameYuwa
ゆわ
和優
1 source-recorded spelling in this reading group contain both 和 and 優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.