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.

惟

Jinmeiyō · KANJIDIC grade 9 · 11 strokes

consider, reflect, think

美

Jōyō · KANJIDIC grade 3 · 9 strokes

beauty, beautiful

Find exact-kanji names →

Source rows containing both16

Distinct written forms12

Given-name readings12

Surname readings0

Adjacent 惟美 forms4

Adjacent 美惟 forms2

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

惟久美

Ikumi

いくみ

3 source-recorded spellings in this reading group contain both 惟 and 美Given name

惟寿美

Izumi

いずみ

2 source-recorded spellings in this reading group contain both 惟 and 美Given name

亜惟美

Aimi

あいみ

2 source-recorded spellings in this reading group contain both 惟 and 美Given name

惟美

Masami

まさみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

惟都美

Itsumi

いつみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

映惟美

Eimi

えいみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

惟美

Narumi

なるみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

美惟

Mī

みい

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

美惟子

Mīko

みいこ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

惟美

Nobumi

のぶみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

惟美

Narimi

なりみ

1 source-recorded spelling in this reading group contain both 惟 and 美Given name

惟美

Koremi

これみ

1 source-recorded spelling in this reading group contain both 惟 and 美

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.