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.
紗
Jinmeiyō · KANJIDIC grade 9 · 10 strokes
和gauze, gossamer
Jōyō · KANJIDIC grade 3 · 8 strokes
Find exact-kanji names →harmony, Japanese style, peace
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
紗和弥
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSāya
さあや
和紗
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameKazusa
かずさ
和紗
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameNagisa
なぎさ
和紗
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameAsa
あさ
紗和子
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawako
さわこ
紗和
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawa
さわ
紗和香
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawaka
さわか
和佳紗
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameWakasa
わかさ
紗和
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameShana
しゃな
紗和美
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawami
さわみ
紗和乃
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawano
さわの
紗和菜
1 source-recorded spelling in this reading group contain both 紗 and 和Given nameSawana
さわな
美紗和
1 source-recorded spelling in this reading group contain both 紗 and 和Misawa
みさわ
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.