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.

都

Jinmeiyō · KANJIDIC grade 10 · 11 strokes

capital, metropolis

沙

Jōyō · KANJIDIC grade 8 · 7 strokes

sand

Find exact-kanji names →

Source rows containing both22

Distinct written forms20

Given-name readings12

Surname readings0

Adjacent 都沙 forms1

Adjacent 沙都 forms15

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.

Given name

沙都季

Satsuki

さつき

4 source-recorded spellings in this reading group contain both 都 and 沙Given name

千沙都

Chisato

ちさと

3 source-recorded spellings in this reading group contain both 都 and 沙Given name

沙都子

Satomi

さとみ

2 source-recorded spellings in this reading group contain both 都 and 沙Given name

未沙都

Misato

みさと

2 source-recorded spellings in this reading group contain both 都 and 沙Given name

都花沙

Tsukasa

つかさ

2 source-recorded spellings in this reading group contain both 都 and 沙Given name

沙都梨

Satori

さとり

2 source-recorded spellings in this reading group contain both 都 and 沙Given name

都羽沙

Tsubasa

つばさ

2 source-recorded spellings in this reading group contain both 都 and 沙Given name

亜都沙

Azusa

あづさ

1 source-recorded spelling in this reading group contain both 都 and 沙Given name

沙都子

Satoko

さとこ

1 source-recorded spelling in this reading group contain both 都 and 沙Given name

沙都

Sato

さと

1 source-recorded spelling in this reading group contain both 都 and 沙Given name

理沙都

Risato

りさと

1 source-recorded spelling in this reading group contain both 都 and 沙Given name

沙都子

Satsuko

さつこ

1 source-recorded spelling in this reading group contain both 都 and 沙

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.