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