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.

麻

Jōyō · KANJIDIC grade 8 · 11 strokes

hemp, flax, numb

亜

Jōyō · KANJIDIC grade 8 · 7 strokes

Asia, rank next, come after

Find exact-kanji names →

Source rows containing both57

Distinct written forms52

Given-name readings32

Surname readings0

Adjacent 麻亜 forms22

Adjacent 亜麻 forms12

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

麻利亜

Maria

まりあ

7 source-recorded spellings in this reading group contain both 麻 and 亜Given name

亜麻利

Amari

あまり

5 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜也

Māya

まあや

4 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜沙

Māsa

まあさ

3 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻実亜

Mamia

まみあ

3 source-recorded spellings in this reading group contain both 麻 and 亜Given name

亜麻依

Aoi

あおい

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

亜麻子

Amane

あまね

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜李

Māri

まあり

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻依亜

Maia

まいあ

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜智

Māchi

まあち

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻礼亜

Marea

まれあ

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜礼

Māre

まあれ

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

沙麻亜

Samā

さまあ

2 source-recorded spellings in this reading group contain both 麻 and 亜Given name

麻亜季

Maki

まき

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻子

Asako

あさこ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜

Mao

まお

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻子

Amako

あまこ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜美

Māmi

まあみ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻菜

Aona

あおな

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜

Mā

まあ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜衣

Māi

まあい

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜子

Māko

まあこ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻乃

Amano

あまの

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻乃亜

Manoa

まのあ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜紗

Māsha

まあしゃ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻

Āsa

ああさ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜瑠

Māru

まある

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

亜麻

Ama

あま

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻千亜

Machia

まちあ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻日亜

Sofia

そふぃあ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻漓亜夢

Mariamu

まりあむ

1 source-recorded spelling in this reading group contain both 麻 and 亜Given name

麻亜羅

Māra

まあら

1 source-recorded spelling in this reading group contain both 麻 and 亜

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.