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.

京

Jōyō · KANJIDIC grade 2 · 8 strokes

capital, 10**16

郎

Jōyō · KANJIDIC grade 8 · 9 strokes

son, counter for sons

Find exact-kanji names →

Source rows containing both26

Distinct written forms18

Given-name readings10

Surname readings0

Adjacent 京郎 forms0

Adjacent 郎京 forms0

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

京久郎

Kyōjirō

きょうじろう

8 source-recorded spellings in this reading group contain both 京 and 郎Given name

京三郎

Kyōsaburō

きょうさぶろう

4 source-recorded spellings in this reading group contain both 京 and 郎Given name

京三郎

Keisaburō

けいさぶろう

4 source-recorded spellings in this reading group contain both 京 and 郎Given name

京一郎

Kyōichirō

きょういちろう

3 source-recorded spellings in this reading group contain both 京 and 郎Given name

京多郎

Keitarō

けいたろう

2 source-recorded spellings in this reading group contain both 京 and 郎Given name

京二郎

Keijirō

けいじろう

1 source-recorded spelling in this reading group contain both 京 and 郎Given name

京一郎

Keīchirō

けいいちろう

1 source-recorded spelling in this reading group contain both 京 and 郎Given name

京三郎

Kyōzaburō

きょうざぶろう

1 source-recorded spelling in this reading group contain both 京 and 郎Given name

京志郎

Kyōshirō

きょうしろう

1 source-recorded spelling in this reading group contain both 京 and 郎Given name

京太郎

Kyōtarō

きょうたろう

1 source-recorded spelling in this reading group contain both 京 and 郎

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.