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.
来
Jōyō · KANJIDIC grade 2 · 7 strokes
咲come, due, next
Jōyō · KANJIDIC grade 8 · 9 strokes
Find exact-kanji names →blossom, bloom
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
咲久来
4 source-recorded spellings in this reading group contain both 来 and 咲Given nameSakura
さくら
姫咲来
2 source-recorded spellings in this reading group contain both 来 and 咲Given nameKisara
きさら
咲来沙
2 source-recorded spellings in this reading group contain both 来 and 咲Given nameSarasa
さらさ
咲来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSaki
さき
咲来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSara
さら
来咲
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameKisaki
きさき
咲蘭来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSarara
さらら
咲愛来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSāra
さあら
咲来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSako
さこ
来咲
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameRaisa
らいさ
咲来羽
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSakuha
さくは
咲来
1 source-recorded spelling in this reading group contain both 来 and 咲Given nameSakuru
さくる
咲来
1 source-recorded spelling in this reading group contain both 来 and 咲Sarai
さらい
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.