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
山rice field, rice paddy
Jōyō · KANJIDIC grade 1 · 3 strokes
Find exact-kanji names →mountain
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
籔山田
3 source-recorded spellings in this reading group contain both 田 and 山SurnameYabuyamada
やぶやまだ
山信田
3 source-recorded spellings in this reading group contain both 田 and 山SurnameYamashida
やましだ
山田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameYamagata
やまがた
山田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameKumada
くまだ
木田山
1 source-recorded spelling in this reading group contain both 田 and 山SurnameKitayama
きたやま
五十山田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameIkaida
いかいだ
田山
1 source-recorded spelling in this reading group contain both 田 and 山SurnameTayama
たやま
山田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameYamada
やまだ
山木田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameYamakita
やまきた
山田
1 source-recorded spelling in this reading group contain both 田 and 山SurnameYamata
やまた
志田山
1 source-recorded spelling in this reading group contain both 田 and 山SurnameShidayama
しだやま
和田山
1 source-recorded spelling in this reading group contain both 田 and 山SurnameWadayama
わだやま
山田貴
1 source-recorded spelling in this reading group contain both 田 and 山Yamataki
やまたき
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.