PiPi Words Vocab
KR–JP word voyage · flashcards
Blog

JLPT N5 Vocabulary List: The Words to Learn First

A curated JLPT N5 vocabulary list grouped by verbs, adjectives, and nouns. Learn the high-frequency core first instead of memorizing an 800-word dump.

A mint-toned cover image showing the words 'N5 Word List' with Japanese vocabulary cards like 食べる, 飲む, and 大きい grouped by part of speech for beginner Japanese study.

When you start Japanese, you open a wordbook first. But almost nobody who memorizes an 800-word list from number one ever reaches the end. Deciding what to learn first matters more than knowing all 800. This guide picks the JLPT N5 words worth touching first and groups them by part of speech.

How many words are really on the N5 list

The JLPT organizers publish no official N5 vocabulary list, so even “N5 is 800 words” is an estimate. Pool the words that textbooks and decks have in common and the count settles at roughly 700 to 800.

What matters is not the number but the spread. Most of those 700 words are nouns, while the everyday verbs and adjectives you actually speak with are a much smaller set. Lock in the 100 or so highest-frequency verbs and adjectives first, and the remaining nouns ride along as you read example sentences.

Why a curated deck beats an 800-word dump

Memorizing a wordbook straight through, from entry one, creates two problems. First, lists sorted alphabetically or by stroke count ignore frequency. Rare words sit shoulder to shoulder with daily ones, so your early effort lands in the wrong places. Second, when the finish line is invisible, most people quit partway.

A curated deck runs the other way. It front-loads the words that show up most in conversation and on the test, then caps the batch at a size where the end is in sight. The table below is that starting line: the core N5 verbs.

WordReadingMeaningExample
食べるたべるto eat朝ごはんを食べる。(To eat breakfast.)
飲むのむto drink水を飲む。(To drink water.)
行くいくto go学校に行く。(To go to school.)
見るみるto see映画を見る。(To watch a movie.)
聞くきくto listen音楽を聞く。(To listen to music.)
書くかくto write手紙を書く。(To write a letter.)
読むよむto read本を読む。(To read a book.)
買うかうto buyパンを買う。(To buy bread.)

Once these eight come easily, sentences like “I eat breakfast,” “I go to school,” and “I read a book” come out immediately. Learning the N5 vocabulary list means filling in words with clear, frequent uses like these before anything else.

Verbs first, adjectives next

The reason to lead with verbs is simple: a single verb sets the backbone of a sentence. With 食べる alone you can spin out dozens of sentences just by changing what gets eaten. Verbs also carry the tense and politeness of the whole sentence, so the moment you can conjugate one, every noun you already know becomes usable. That leverage is why a small verb set unlocks far more speech than the same number of nouns.

Once verbs give you a backbone, adjectives add the detail. Adjectives stick best when you learn them as descriptive pairs rather than one at a time.

WordReadingMeaning
大きいおおきいbig
小さいちいさいsmall

Pairing opposites like 大きい and 小さい means each word cues the other, which raises efficiency. N5 has many of these contrast pairs, so learning them by pair makes the count feel half as large.

A note for English speakers: read it aloud

English speakers do not get the head start that Korean learners enjoy. Korean shares many Sino-Korean readings with Japanese, so a Korean learner can guess a noun like 到着 (arrival) from its sound. Without that bridge, an English speaker has to learn each N5 noun fresh.

The practical fix is to treat the reading as part of the word, never an afterthought. Memorizing 食べる as “to eat” without たべる leaves you unable to read or hear it in a real sentence. Say the reading aloud every time the card flips, and the sound locks in alongside the meaning instead of trailing behind it.

There is one more grouping that pays off early: cluster nouns by the situations you will meet them in, not alphabetically. Food words, place words, and time words each form a small theme, and a themed batch of ten is far easier to hold than ten unrelated entries. When a noun shares a kanji you have already seen in a verb, learn them side by side so the shape reinforces both. Small structure like this is the whole reason a chosen list outperforms a raw alphabetical dump.

What a card actually looks like

In the PiPi Words web demo, the list above opens as real flashcards. The front of a card shows 食べる together with its reading たべる; flip it and you see the meaning “to eat” with the example 朝ごはんを食べる. Kanji, reading, meaning, and context all gather on one card.

A four-choice quiz sits on top of that. Picking the meaning of 食べる yourself separates the words you only recognize from the ones you truly know. As you flip a card you rate it hard, good, or easy and move on to the next one, a single linear pass. Your rating quietly becomes a review-priority signal.

The web demo gives you a 12-word taster per deck, and all of it runs in your browser, with nothing sent to a server. Once this list has told you what to learn, you can see exactly how those words feel as cards: a verb like 行く appears, you guess “to go,” flip to confirm 学校に行く, and rate how hard it felt before moving to the next card. That single linear pass is the taste; turning your ratings into shaky words that resurface and a real review schedule is what the PiPi Words app does.

You picked the list, now lock it in

Choosing what to learn and remembering it long-term are two different jobs. You have the list, so now you need to review each word just before you forget it. The method itself, from the forgetting curve to review intervals, is covered in memorizing JLPT vocabulary with spaced repetition.

The split is clean: use this post for the what (core verbs, then adjectives, then nouns) and the spaced repetition post for the how (review before you forget, plus active recall). The two axes lock together.

From a taste to real study

The PiPi Words app turns this list into an automated deck. It applies SM-2 spaced repetition, which calculates each word’s next review date from how you rated it, and adds 1000+ JLPT N5 and N4 words, a voyage map, and a study streak so your daily reviews stay connected.

Start with the free PiPi Words web demo to see whether the core-verb cards fit you. It runs right in your browser with no install and no sign-up, and if the method clicks, moving to the iOS or Android app is a natural next step.

Frequently asked questions

How many words are on the JLPT N5 vocabulary list?
There is no single official JLPT N5 word list. Across study materials, the shared core lands at roughly 700 to 800 essential words, mostly nouns, verbs, and adjectives. Grouping them by part of speech and starting with the highest-frequency items makes that number feel far smaller.
Which part of speech should I learn first for N5?
Start with verbs. Just 20 to 30 everyday action verbs like 食べる (to eat), 飲む (to drink), and 行く (to go) let you build short sentences right away. Add adjectives such as 大きい and 小さい next, then nouns, and the foundation for reading and conversation comes together fast.
Why not just memorize all 800 words at once?
Trying to swallow the whole list spends your early energy on rare words. Lock in the 100 to 200 highest-frequency words first, and the rest arrive naturally inside example sentences. That is why a curated deck beats an 800-word dump for beginners.
Do I need kanji to learn N5 vocabulary?
You can start without mastering kanji, but learn each word together with its reading. 食べる is read たべる. Putting the kanji and reading on the front of a card, then the meaning and an example on the back, ties shape, sound, and meaning together at once.
Is reading a word list enough to memorize it?
Skimming a list is weak on its own. Actively recalling each meaning is what makes words stick. The method itself is covered in the spaced repetition guide, so use this list to decide what to learn, then lock it in with that technique.

Sources

Written by the PiFl Labs content team from public sources and reviewed in-house before publishing.

Last reviewed:

Back to the tool →
More from this cluster