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.

奈

Jōyō · KANJIDIC grade 4 · 8 strokes

Nara, what?

樹

Jōyō · KANJIDIC grade 6 · 16 strokes

timber, trees, wood

Find exact-kanji names →

Source rows containing both22

Distinct written forms19

Given-name readings12

Surname readings0

Adjacent 奈樹 forms1

Adjacent 樹奈 forms13

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

亜樹奈

Akina

あきな

5 source-recorded spellings in this reading group contain both 奈 and 樹Given name

奈夏樹

Natsuki

なつき

4 source-recorded spellings in this reading group contain both 奈 and 樹Given name

優樹奈

Yukina

ゆきな

2 source-recorded spellings in this reading group contain both 奈 and 樹Given name

奈樹

Namiki

なみき

2 source-recorded spellings in this reading group contain both 奈 and 樹Given name

実樹奈

Mikina

みきな

2 source-recorded spellings in this reading group contain both 奈 and 樹Given name

樹奈

Nana

なな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

樹奈

Juna

じゅな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

麻樹奈

Makina

まきな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

樹奈

Kina

きな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

緒樹奈

Okina

おきな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

樹里奈

Jurina

じゅりな

1 source-recorded spelling in this reading group contain both 奈 and 樹Given name

樹奈杏

Junan

じゅなん

1 source-recorded spelling in this reading group contain both 奈 and 樹

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.