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.
与
Jōyō · KANJIDIC grade 8 · 3 strokes
美bestow, participate in, give
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
与志美
3 source-recorded spellings in this reading group contain both 与 and 美Given nameYoshimi
よしみ
美千与
2 source-recorded spellings in this reading group contain both 与 and 美Given nameMichiyo
みちよ
希与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameKiyomi
きよみ
与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameAzumi
あずみ
美与子
1 source-recorded spelling in this reading group contain both 与 and 美Given nameMiyoko
みよこ
美与
1 source-recorded spelling in this reading group contain both 与 and 美Given nameMiyo
みよ
美与志
1 source-recorded spelling in this reading group contain both 与 and 美Given nameMiyoshi
みよし
千与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameChiyomi
ちよみ
十与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameToyomi
とよみ
桜与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameSayomi
さよみ
虹与美
1 source-recorded spelling in this reading group contain both 与 and 美Given nameKoyomi
こよみ
美与香
1 source-recorded spelling in this reading group contain both 与 and 美Given nameMiyoka
みよか
日与美
1 source-recorded spelling in this reading group contain both 与 and 美Hiyomi
ひよみ
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.