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.
次
Jōyō · KANJIDIC grade 3 · 6 strokes
良next, order, sequence
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →good, pleasing, skilled
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
良次
1 source-recorded spelling in this reading group contain both 次 and 良Given nameRyōji
りょうじ
良次
1 source-recorded spelling in this reading group contain both 次 and 良Given nameYoshiji
よしじ
良次
1 source-recorded spelling in this reading group contain both 次 and 良Given nameYoshitsugu
よしつぐ
良次郎
1 source-recorded spelling in this reading group contain both 次 and 良Given nameYoshijirō
よしじろう
次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameJirō
じろう
相次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameAijirō
あいじろう
友次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameTomojirō
ともじろう
八州次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameYasujirō
やすじろう
寛次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameKanjirō
かんじろう
増次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameMasujirō
ますじろう
徳次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameTokujirō
とくじろう
富次良
1 source-recorded spelling in this reading group contain both 次 and 良Given nameTomijirō
とみじろう
良次郎
1 source-recorded spelling in this reading group contain both 次 and 良Ryōjirō
りょうじろう
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.