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.
貴
Jōyō · KANJIDIC grade 6 · 12 strokes
世precious, value, prize
Jōyō · KANJIDIC grade 3 · 5 strokes
Find exact-kanji names →generation, world, society
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
亜貴世
4 source-recorded spellings in this reading group contain both 貴 and 世Given nameAkiyo
あきよ
貴世実
2 source-recorded spellings in this reading group contain both 貴 and 世Given nameKiyomi
きよみ
貴世佳
2 source-recorded spellings in this reading group contain both 貴 and 世Given nameKiyoka
きよか
貴世子
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameKiyoko
きよこ
貴世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameTakako
たかこ
貴世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameTakayo
たかよ
貴世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameKiyo
きよ
貴美世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameKimiyo
きみよ
世貴子
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameSekiko
せきこ
善貴世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameYoshikiyo
よしきよ
貴世子
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameKiseko
きせこ
貴世希
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameKiyoki
きよき
貴世
1 source-recorded spelling in this reading group contain both 貴 and 世Given nameTakase
たかせ
貴志世
1 source-recorded spelling in this reading group contain both 貴 and 世Kishiyo
きしよ
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.