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.

由

Jōyō · KANJIDIC grade 3 · 5 strokes

wherefore, a reason

歩

Jōyō · KANJIDIC grade 2 · 8 strokes

walk, counter for steps

Find exact-kanji names →

Source rows containing both13

Distinct written forms11

Given-name readings11

Surname readings0

Adjacent 由歩 forms2

Adjacent 歩由 forms9

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

歩由実

Ayumi

あゆみ

2 source-recorded spellings in this reading group contain both 由 and 歩Given name

歩由花

Fuyuka

ふゆか

2 source-recorded spellings in this reading group contain both 由 and 歩Given name

歩由

Ayu

あゆ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

歩由奈

Ayuna

あゆな

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

歩由子

Fuyuko

ふゆこ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

由歩

Yukiho

ゆきほ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

歩由実

Fuyumi

ふゆみ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

由歩

Yūho

ゆうほ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

美歩由

Mifuyu

みふゆ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

麻由歩

Mayuho

まゆほ

1 source-recorded spelling in this reading group contain both 由 and 歩Given name

歩由知

Ayuchi

あゆち

1 source-recorded spelling in this reading group contain both 由 and 歩

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.