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
留haven, port, harbor
Jōyō · KANJIDIC grade 5 · 10 strokes
Find exact-kanji names →detain, fasten, halt
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
津留
5 source-recorded spellings in this reading group contain both 津 and 留SurnameTsurusaki
つるさき
津留
3 source-recorded spellings in this reading group contain both 津 and 留SurnameTsuruzaki
つるざき
広津留
2 source-recorded spellings in this reading group contain both 津 and 留SurnameHirotsuru
ひろつる
中津留
2 source-recorded spellings in this reading group contain both 津 and 留SurnameNakatsuru
なかつる
津留見
1 source-recorded spelling in this reading group contain both 津 and 留SurnameTsurumi
つるみ
民津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameMitsuru
みつる
津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameTsuru
つる
津留田
1 source-recorded spelling in this reading group contain both 津 and 留SurnameTsuruta
つるた
大津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameŌtsuru
おおつる
桑津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameKuwazuru
くわずる
大津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameŌzuru
おおづる
津留
1 source-recorded spelling in this reading group contain both 津 and 留SurnameTsudome
つどめ
津留村
1 source-recorded spelling in this reading group contain both 津 and 留SurnameTsurumura
つるむら
津留
1 source-recorded spelling in this reading group contain both 津 and 留Tsuryū
つりゅう
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.