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.
結
Jōyō · KANJIDIC grade 4 · 12 strokes
里tie, bind, contract
Jōyō · KANJIDIC grade 2 · 7 strokes
Find exact-kanji names →ri, village, parent's home
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
結里名
5 source-recorded spellings in this reading group contain both 結 and 里Given nameYurina
ゆりな
結加里
5 source-recorded spellings in this reading group contain both 結 and 里Given nameYukari
ゆかり
結里佳
4 source-recorded spellings in this reading group contain both 結 and 里Given nameYurika
ゆりか
咲結里
2 source-recorded spellings in this reading group contain both 結 and 里Given nameSayuri
さゆり
結里亜
2 source-recorded spellings in this reading group contain both 結 and 里Given nameYuria
ゆりあ
結衣里
2 source-recorded spellings in this reading group contain both 結 and 里Given nameYuiri
ゆいり
結里恵
1 source-recorded spelling in this reading group contain both 結 and 里Given nameYurie
ゆりえ
結里
1 source-recorded spelling in this reading group contain both 結 and 里Given nameYuri
ゆり
結里子
1 source-recorded spelling in this reading group contain both 結 and 里Given nameYuriko
ゆりこ
明結里
1 source-recorded spelling in this reading group contain both 結 and 里Given nameAyuri
あゆり
真結里
1 source-recorded spelling in this reading group contain both 結 and 里Given nameMayuri
まゆり
魅結里
1 source-recorded spelling in this reading group contain both 結 and 里Given nameMiyuri
みゆり
結里矢
1 source-recorded spelling in this reading group contain both 結 and 里Yuriya
ゆりや
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.