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.
美
Jōyō · KANJIDIC grade 3 · 9 strokes
李beauty, beautiful
Jinmeiyō · KANJIDIC grade 9 · 7 strokes
Find exact-kanji names →plum
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
亜美李
7 source-recorded spellings in this reading group contain both 美 and 李Given nameAmiri
あみり
李桃美
2 source-recorded spellings in this reading group contain both 美 and 李Given nameMomomi
ももみ
李奈美
2 source-recorded spellings in this reading group contain both 美 and 李Given nameRinami
りなみ
美李
1 source-recorded spelling in this reading group contain both 美 and 李Given nameMiri
みり
李美
1 source-recorded spelling in this reading group contain both 美 and 李Given nameRimi
りみ
李美
1 source-recorded spelling in this reading group contain both 美 and 李Given nameRiu
りう
祐李美
1 source-recorded spelling in this reading group contain both 美 and 李Given nameYurimi
ゆりみ
美李花
1 source-recorded spelling in this reading group contain both 美 and 李Given nameMirika
みりか
美亜李
1 source-recorded spelling in this reading group contain both 美 and 李Given nameMiari
みあり
李梨美
1 source-recorded spelling in this reading group contain both 美 and 李Given nameRirimi
りりみ
美李杏
1 source-recorded spelling in this reading group contain both 美 and 李Given nameMirian
みりあん
美李里
1 source-recorded spelling in this reading group contain both 美 and 李Given nameMiriri
みりり
李由美
1 source-recorded spelling in this reading group contain both 美 and 李Riyumi
りゆみ
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.