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.
安
Jōyō · KANJIDIC grade 3 · 6 strokes
佳relax, cheap, low
Jōyō · KANJIDIC grade 8 · 8 strokes
Find exact-kanji names →excellent, beautiful, good
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
安恵佳
8 source-recorded spellings in this reading group contain both 安 and 佳Given nameAeka
あえか
安佐佳
7 source-recorded spellings in this reading group contain both 安 and 佳Given nameAsaka
あさか
安佑佳
6 source-recorded spellings in this reading group contain both 安 and 佳Given nameAyuka
あゆか
安也佳
5 source-recorded spellings in this reading group contain both 安 and 佳Given nameAyaka
あやか
安佳利
5 source-recorded spellings in this reading group contain both 安 and 佳Given nameAkari
あかり
安利佳
5 source-recorded spellings in this reading group contain both 安 and 佳Given nameArika
ありか
安佳子
4 source-recorded spellings in this reading group contain both 安 and 佳Given nameAkane
あかね
安寿佳
4 source-recorded spellings in this reading group contain both 安 and 佳Given nameAsuka
あすか
安岐佳
2 source-recorded spellings in this reading group contain both 安 and 佳Given nameAkika
あきか
安佳奈
2 source-recorded spellings in this reading group contain both 安 and 佳Given nameAkana
あかな
紗安佳
1 source-recorded spelling in this reading group contain both 安 and 佳Given nameSayaka
さやか
安美佳
1 source-recorded spelling in this reading group contain both 安 and 佳Given nameAmika
あみか
安佳子
1 source-recorded spelling in this reading group contain both 安 and 佳Akako
あかこ
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.