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.
三
Jōyō · KANJIDIC grade 1 · 3 strokes
友three
Jōyō · KANJIDIC grade 2 · 4 strokes
Find exact-kanji names →friend
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
亜友三
3 source-recorded spellings in this reading group contain both 三 and 友Given nameAyumi
あゆみ
三友妃
2 source-recorded spellings in this reading group contain both 三 and 友Given nameMiyuki
みゆき
友三依
2 source-recorded spellings in this reading group contain both 三 and 友Given nameYumie
ゆみえ
友三朗
2 source-recorded spellings in this reading group contain both 三 and 友Given nameTomosaburō
ともさぶろう
友三
1 source-recorded spelling in this reading group contain both 三 and 友Given nameTomomi
ともみ
友三子
1 source-recorded spelling in this reading group contain both 三 and 友Given nameYumiko
ゆみこ
三友
1 source-recorded spelling in this reading group contain both 三 and 友Given nameMiyu
みゆ
友三
1 source-recorded spelling in this reading group contain both 三 and 友Given nameYūzō
ゆうぞう
友三
1 source-recorded spelling in this reading group contain both 三 and 友Given nameTomomitsu
ともみつ
友三
1 source-recorded spelling in this reading group contain both 三 and 友Given nameTomozō
ともぞう
友三郎
1 source-recorded spelling in this reading group contain both 三 and 友Given nameYūzaburō
ゆうざぶろう
三友
1 source-recorded spelling in this reading group contain both 三 and 友Given nameSan'yū
さんゆう
友三郎
1 source-recorded spelling in this reading group contain both 三 and 友Yūsaburō
ゆうさぶろう
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.