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.

祐

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

help

里

Jōyō · KANJIDIC grade 2 · 7 strokes

ri, village, parent's home

Find exact-kanji names →

Source rows containing both25

Distinct written forms24

Given-name readings11

Surname readings0

Adjacent 祐里 forms19

Adjacent 里祐 forms0

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

祐里南

Yurina

ゆりな

6 source-recorded spellings in this reading group contain both 祐 and 里Given name

祐里伽

Yurika

ゆりか

5 source-recorded spellings in this reading group contain both 祐 and 里Given name

祐佳里

Yukari

ゆかり

4 source-recorded spellings in this reading group contain both 祐 and 里Given name

佐祐里

Sayuri

さゆり

2 source-recorded spellings in this reading group contain both 祐 and 里Given name

祐羽里

Yūri

ゆうり

2 source-recorded spellings in this reading group contain both 祐 and 里Given name

祐里絵

Yurie

ゆりえ

1 source-recorded spelling in this reading group contain both 祐 and 里Given name

祐里

Yuri

ゆり

1 source-recorded spelling in this reading group contain both 祐 and 里Given name

祐里亜

Yuria

ゆりあ

1 source-recorded spelling in this reading group contain both 祐 and 里Given name

祐里子

Yuriko

ゆりこ

1 source-recorded spelling in this reading group contain both 祐 and 里Given name

祐里乃

Yurino

ゆりの

1 source-recorded spelling in this reading group contain both 祐 and 里Given name

祐里葉

Yuriha

ゆりは

1 source-recorded spelling in this reading group contain both 祐 and 里

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.