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.
実
Jōyō · KANJIDIC grade 3 · 8 strokes
美reality, truth, seed
Jōyō · KANJIDIC grade 3 · 9 strokes
Find exact-kanji names →beauty, beautiful
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
実な美
9 source-recorded spellings in this reading group contain both 実 and 美Given nameMinami
みなみ
実美
2 source-recorded spellings in this reading group contain both 実 and 美Given nameMimi
みみ
美実
1 source-recorded spelling in this reading group contain both 実 and 美Given nameYoshimi
よしみ
実美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameSatomi
さとみ
実寿美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMasumi
ますみ
実美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMiharu
みはる
実美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameNarumi
なるみ
実弥美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMiyabi
みやび
美衣実
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMīmi
みいみ
実耶美
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMiyami
みやみ
美実香
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMimika
みみか
美由実
1 source-recorded spelling in this reading group contain both 実 and 美Given nameMiyumi
みゆみ
未実美
1 source-recorded spelling in this reading group contain both 実 and 美Mimimi
みみみ
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.