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.
万
Jōyō · KANJIDIC grade 2 · 3 strokes
由ten thousand, 10,000
Jōyō · KANJIDIC grade 3 · 5 strokes
Find exact-kanji names →wherefore, a reason
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
万由三
7 source-recorded spellings in this reading group contain both 万 and 由Given nameMayumi
まゆみ
万由佳
5 source-recorded spellings in this reading group contain both 万 and 由Given nameMayuka
まゆか
万由利
4 source-recorded spellings in this reading group contain both 万 and 由Given nameMayuri
まゆり
万由子
3 source-recorded spellings in this reading group contain both 万 and 由Given nameMayuko
まゆこ
万由樹
3 source-recorded spellings in this reading group contain both 万 and 由Given nameMayuki
まゆき
万由
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMayu
まゆ
由万
1 source-recorded spelling in this reading group contain both 万 and 由Given nameYuma
ゆま
万由菜
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMayuna
まゆな
万布由
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMafuyu
まふゆ
由万
1 source-recorded spelling in this reading group contain both 万 and 由Given nameYūma
ゆうま
万由乃
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMayuno
まゆの
万由帆
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMayuho
まゆほ
万由菜
1 source-recorded spelling in this reading group contain both 万 and 由Given nameMayuha
まゆは
万亜由
1 source-recorded spelling in this reading group contain both 万 and 由Māyu
まあゆ
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.