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
原rice field, rice paddy
Jōyō · KANJIDIC grade 2 · 10 strokes
Find exact-kanji names →meadow, original, primitive
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
大田原
4 source-recorded spellings in this reading group contain both 田 and 原SurnameOdawara
おだわら
大田原
3 source-recorded spellings in this reading group contain both 田 and 原SurnameOdahara
おだはら
田ノ原
3 source-recorded spellings in this reading group contain both 田 and 原SurnameTanohara
たのはら
川原田
2 source-recorded spellings in this reading group contain both 田 and 原SurnameKawarada
かわらだ
大田原
2 source-recorded spellings in this reading group contain both 田 and 原SurnameŌtawara
おおたわら
河原田
1 source-recorded spelling in this reading group contain both 田 and 原SurnameKawada
かわだ
田津原
1 source-recorded spelling in this reading group contain both 田 and 原SurnameTatsuhara
たつはら
田原
1 source-recorded spelling in this reading group contain both 田 and 原SurnameTahara
たはら
原田
1 source-recorded spelling in this reading group contain both 田 and 原SurnameHarada
はらだ
原田
1 source-recorded spelling in this reading group contain both 田 and 原SurnameHaruda
はるだ
田原
1 source-recorded spelling in this reading group contain both 田 and 原SurnameTawara
たわら
原田
1 source-recorded spelling in this reading group contain both 田 and 原SurnameHarata
はらた
下田原
1 source-recorded spelling in this reading group contain both 田 and 原Shimokawahara
しもかわはら
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.