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.

弥

Jōyō · KANJIDIC grade 8 · 8 strokes

all the more, increasingly

安

Jōyō · KANJIDIC grade 3 · 6 strokes

relax, cheap, low

Find exact-kanji names →

Source rows containing both32

Distinct written forms31

Given-name readings12

Surname readings0

Adjacent 弥安 forms1

Adjacent 安弥 forms30

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

安弥佳

Ayaka

あやか

8 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥利

Ayari

あやり

6 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥保

Ayaho

あやほ

4 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥実

Ayami

あやみ

3 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥名

Ayana

あやな

3 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥乃

Ayano

あやの

2 source-recorded spellings in this reading group contain both 弥 and 安Given name

安弥子

Ayako

あやこ

1 source-recorded spelling in this reading group contain both 弥 and 安Given name

安弥

Aya

あや

1 source-recorded spelling in this reading group contain both 弥 and 安Given name

安弥恵

Ayae

あやえ

1 source-recorded spelling in this reading group contain both 弥 and 安Given name

安弥芽

Ayame

あやめ

1 source-recorded spelling in this reading group contain both 弥 and 安Given name

安弥

Yasuya

やすや

1 source-recorded spelling in this reading group contain both 弥 and 安Given name

弥安

Bian

びあん

1 source-recorded spelling in this reading group contain both 弥 and 安

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.