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
治beauty, beautiful
Jōyō · KANJIDIC grade 4 · 8 strokes
Find exact-kanji names →reign, be at peace, calm down
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
治美
1 source-recorded spelling in this reading group contain both 美 and 治Given nameNaomi
なおみ
美治子
1 source-recorded spelling in this reading group contain both 美 and 治Given nameMichiko
みちこ
治美
1 source-recorded spelling in this reading group contain both 美 and 治Given nameHarumi
はるみ
美治代
1 source-recorded spelling in this reading group contain both 美 and 治Given nameMichiyo
みちよ
美治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameMiharu
みはる
美治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameYoshiharu
よしはる
美治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameYoshiji
よしじ
治與美
1 source-recorded spelling in this reading group contain both 美 and 治Given nameChiyomi
ちよみ
美治郎
1 source-recorded spelling in this reading group contain both 美 and 治Given nameYoshijirō
よしじろう
治美
1 source-recorded spelling in this reading group contain both 美 and 治Given nameHaruyoshi
はるよし
美都治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameMitsuji
みつじ
美治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameHaruji
はるじ
美代治
1 source-recorded spelling in this reading group contain both 美 and 治Given nameMiyoji
みよじ
僖美治
1 source-recorded spelling in this reading group contain both 美 and 治Kimiharu
きみはる
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.