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.
久
Jōyō · KANJIDIC grade 5 · 3 strokes
利long time, old story
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →profit, advantage, benefit
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
亜久利
2 source-recorded spellings in this reading group contain both 久 and 利Given nameAkuri
あくり
久陽利
1 source-recorded spelling in this reading group contain both 久 and 利Given nameHiyori
ひより
利久
1 source-recorded spelling in this reading group contain both 久 and 利Given nameRiku
りく
久利子
1 source-recorded spelling in this reading group contain both 久 and 利Given nameKuriko
くりこ
利久
1 source-recorded spelling in this reading group contain both 久 and 利Given nameToshihisa
としひさ
阿久利
1 source-recorded spelling in this reading group contain both 久 and 利Given nameAguri
あぐり
久利主
1 source-recorded spelling in this reading group contain both 久 and 利Given nameKurisu
くりす
久利
1 source-recorded spelling in this reading group contain both 久 and 利Given nameHisatoshi
ひさとし
久利歩
1 source-recorded spelling in this reading group contain both 久 and 利Given nameKuria
くりあ
伊久利
1 source-recorded spelling in this reading group contain both 久 and 利Given nameIkuri
いくり
利久子
1 source-recorded spelling in this reading group contain both 久 and 利Given nameRikuko
りくこ
久利
1 source-recorded spelling in this reading group contain both 久 and 利Given nameKuri
くり
利久
1 source-recorded spelling in this reading group contain both 久 and 利Rikyū
りきゅう
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.