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.
嘉
Jinmeiyō · KANJIDIC grade 9 · 14 strokes
美applaud, praise, esteem
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
嘉寿美
3 source-recorded spellings in this reading group contain both 嘉 and 美Given nameKazumi
かずみ
美嘉
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameHaruka
はるか
嘉美
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameYoshimi
よしみ
美嘉
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameMika
みか
嘉奈美
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameKanami
かなみ
美嘉子
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameMikako
みかこ
栄美嘉
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameEmika
えみか
嘉津美
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameKatsumi
かつみ
嘉美
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameKimi
きみ
妃美嘉
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameHimika
ひみか
嘉代美
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameKayomi
かよみ
嘉美子
1 source-recorded spelling in this reading group contain both 嘉 and 美Given nameKamiko
かみこ
嘉美
1 source-recorded spelling in this reading group contain both 嘉 and 美Kami
かみ
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.