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.
利
Jōyō · KANJIDIC grade 4 · 7 strokes
世profit, advantage, benefit
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
世利奈
3 source-recorded spellings in this reading group contain both 利 and 世Given nameSerina
せりな
佐世利
2 source-recorded spellings in this reading group contain both 利 and 世Given nameSayori
さより
世利子
1 source-recorded spelling in this reading group contain both 利 and 世Given nameYoriko
よりこ
世利加
1 source-recorded spelling in this reading group contain both 利 and 世Given nameSerika
せりか
利世
1 source-recorded spelling in this reading group contain both 利 and 世Given nameRiyo
りよ
千利世
1 source-recorded spelling in this reading group contain both 利 and 世Given nameChitose
ちとせ
利世子
1 source-recorded spelling in this reading group contain both 利 and 世Given nameRiyoko
りよこ
利世
1 source-recorded spelling in this reading group contain both 利 and 世Given nameToshiyo
としよ
麻利世
1 source-recorded spelling in this reading group contain both 利 and 世Given nameMariyo
まりよ
世利香
1 source-recorded spelling in this reading group contain both 利 and 世Given nameYorika
よりか
利世
1 source-recorded spelling in this reading group contain both 利 and 世Given nameRisei
りせい
世利乃
1 source-recorded spelling in this reading group contain both 利 and 世Given nameSerino
せりの
恵利世
1 source-recorded spelling in this reading group contain both 利 and 世Erize
えりぜ
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.