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.
歩
Jōyō · KANJIDIC grade 2 · 8 strokes
優walk, counter for steps
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
有優歩
2 source-recorded spellings in this reading group contain both 歩 and 優Given nameAyumi
あゆみ
優姫歩
2 source-recorded spellings in this reading group contain both 歩 and 優Given nameYukiho
ゆきほ
歩優
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameAyu
あゆ
歩優祈
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameAyuki
あゆき
歩優
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameFuyu
ふゆ
優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameYua
ゆあ
優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameYūho
ゆうほ
実歩優
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameMifuyu
みふゆ
歩優
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameFū
ふう
優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameYuho
ゆほ
美優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameMiyuho
みゆほ
娃優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Given nameAyuho
あゆほ
優歩
1 source-recorded spelling in this reading group contain both 歩 and 優Yufu
ゆふ
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.