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
加relax, cheap, low
Jōyō · KANJIDIC grade 4 · 5 strokes
Find exact-kanji names →add, addition, increase
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
安恵加
8 source-recorded spellings in this reading group contain both 安 and 加Given nameAeka
あえか
安佐加
7 source-recorded spellings in this reading group contain both 安 and 加Given nameAsaka
あさか
安佑加
6 source-recorded spellings in this reading group contain both 安 and 加Given nameAyuka
あゆか
安也加
5 source-recorded spellings in this reading group contain both 安 and 加Given nameAyaka
あやか
安加利
5 source-recorded spellings in this reading group contain both 安 and 加Given nameAkari
あかり
安寿加
3 source-recorded spellings in this reading group contain both 安 and 加Given nameAsuka
あすか
安加寧
2 source-recorded spellings in this reading group contain both 安 and 加Given nameAkane
あかね
安岐加
2 source-recorded spellings in this reading group contain both 安 and 加Given nameAkika
あきか
彩安加
1 source-recorded spelling in this reading group contain both 安 and 加Given nameSayaka
さやか
安加
1 source-recorded spelling in this reading group contain both 安 and 加Given nameHaruka
はるか
安意加
1 source-recorded spelling in this reading group contain both 安 and 加Given nameAika
あいか
安美加
1 source-recorded spelling in this reading group contain both 安 and 加Given nameAmika
あみか
安加流
1 source-recorded spelling in this reading group contain both 安 and 加Akaru
あかる
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.