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.
紀
Jōyō · KANJIDIC grade 5 · 9 strokes
和chronicle, account, narrative
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
和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameAki
あき
和紀子
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameWakiko
わきこ
和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameKazuki
かずき
和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameKazunori
かずのり
紀和
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameNorikazu
のりかず
紀和
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameToshikazu
としかず
和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameKatsunori
かつのり
紀和子
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameKiwako
きわこ
紀和
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameKiwa
きわ
和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameWaki
わき
佐和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameSawaki
さわき
美紀和
1 source-recorded spelling in this reading group contain both 紀 and 和Given nameMikiwa
みきわ
乃和紀
1 source-recorded spelling in this reading group contain both 紀 and 和Nowaki
のわき
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.