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.
内
Jōyō · KANJIDIC grade 2 · 4 strokes
田inside, within, between
Jōyō · KANJIDIC grade 1 · 5 strokes
Find exact-kanji names →rice field, rice paddy
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.
Surname
田ノ内
4 source-recorded spellings in this reading group contain both 内 and 田SurnameTanōchi
たのうち
内蔵田
2 source-recorded spellings in this reading group contain both 内 and 田SurnameKurata
くらた
垣内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameKaichi
かいち
田内
1 source-recorded spelling in this reading group contain both 内 and 田SurnameTanai
たない
垣内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameKakiuchi
かきうち
多田内
1 source-recorded spelling in this reading group contain both 内 and 田SurnameTadauchi
ただうち
内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameUchida
うちだ
谷内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameYanada
やなだ
田内
1 source-recorded spelling in this reading group contain both 内 and 田SurnameTauchi
たうち
田垣内
1 source-recorded spelling in this reading group contain both 内 and 田SurnameTagaito
たがいと
内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameUchita
うちた
谷内田
1 source-recorded spelling in this reading group contain both 内 and 田SurnameYachida
やちだ
谷内田
1 source-recorded spelling in this reading group contain both 内 and 田Yanata
やなた
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.