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.

未

Jōyō · KANJIDIC grade 4 · 5 strokes

un-, not yet, hitherto

美

Jōyō · KANJIDIC grade 3 · 9 strokes

beauty, beautiful

Find exact-kanji names →

Source rows containing both21

Distinct written forms21

Given-name readings12

Surname readings0

Adjacent 未美 forms2

Adjacent 美未 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

未南美

Minami

みなみ

7 source-recorded spellings in this reading group contain both 未 and 美Given name

未也美

Miyami

みやみ

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

未夜美

Miyabi

みやび

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

美未

Yoshimi

よしみ

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

美未来

Misaki

みさき

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

未紗美

Masami

まさみ

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

未美

Mimi

みみ

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

未美子

Mimiko

みみこ

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

未芙美

Mifumi

みふみ

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

未実美

Mimimi

みみみ

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

未稀美

Mikimi

みきみ

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

未来美

Mikumi

みくみ

1 source-recorded spelling in this reading group contain both 未 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.