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.
津
Jōyō · KANJIDIC grade 8 · 9 strokes
志haven, port, harbor
Jōyō · KANJIDIC grade 5 · 7 strokes
Find exact-kanji names →intention, plan, resolve
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
志津ヶ嶽
2 source-recorded spellings in this reading group contain both 津 and 志SurnameShizugatake
しづがたけ
志満津
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShimazu
しまず
志美津
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShimizu
しみず
志津野
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizuno
しずの
志津
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizu
しず
志津川
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizukawa
しずかわ
志津木
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizuki
しづき
志津間
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizuma
しずま
志満津
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShimatsu
しまつ
津志田
1 source-recorded spelling in this reading group contain both 津 and 志SurnameTsushida
つしだ
志津
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShitsu
しつ
志津田
1 source-recorded spelling in this reading group contain both 津 and 志SurnameShizuta
しずた
津志
1 source-recorded spelling in this reading group contain both 津 and 志Tsushi
つし
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.