Every "good engagement rate" figure online is a single number with no context, and half the calculators that produce it are doing the math wrong. If you've ever tried to judge a YouTube channel by its engagement, whether you're vetting a creator to sponsor or sizing up your own numbers, you've hit that wall. Below is a real YouTube engagement rate benchmark for 2026: median rates broken out by subscriber tier and by niche, built from the actual top US channels in each category, plus the correct formula and a verdict on what's good for you.
The short version: a "good" engagement rate is not one number. It depends on two things, how big the channel is and what niche it's in, and the two pull in opposite directions. The single most useful fact in this whole post is that engagement falls as channels grow, which means a 1.7% mega-channel and a 4.2% mid-channel can both be completely healthy.
Engagement is also the screening metric you check before you ever talk price. For how deals get structured and costed once a creator clears the bar, see our complete guide to YouTube sponsorships in 2026.
How to calculate YouTube engagement rate (the real formula)
Almost every disagreement about engagement rates comes down to one thing: people divide by different numbers. Here's the correct one:
Engagement rate = (likes + comments) ÷ views × 100
You divide by the views a video actually got, not by the subscriber count. Add up the likes and comments across a recent batch of videos (the last 10–20 is a reasonable window), divide by the total views those videos earned, and multiply by 100. That's it. Paste those totals into the engagement calculator and read its ERV (by views) row and it does the arithmetic for you.
The most common error, and the reason two "ER calculators" hand you wildly different numbers for the same channel, is dividing by subscriber count instead of views. On YouTube that's broken by design: it's a recommendation platform, not a follower feed, and most subscribers never see any given upload. A 2M-subscriber channel that averages 200k views per video has a real audience of 200k, not 2M. Dividing by subscribers inflates the rate, rewards channels with stale subscriber lists, and makes cross-channel comparison meaningless. Always divide by views.
One honest caveat about the formula: likes + comments is the standard, transparent definition (it's what public data exposes), but it misses shares, saves, and watch time, signals YouTube weighs heavily but doesn't publish. So treat views-based ER as a strong, comparable proxy for audience interaction, not the whole truth. It's the apples-to-apples number; just don't mistake it for the algorithm's full scorecard.
What's a good YouTube engagement rate in 2026? (the short answer)
The honest answer is "it depends on size and niche," but here are the corridors to anchor on, taken from the median of the top US channels in each segment:
- By size: roughly 4.2% for mid channels (100k–1M subs), ~3% for macro channels (1M–10M), and ~1.7% for mega channels (10M+). Bigger channel, lower rate.
- By niche: from about 5% at the top (Spirituality, Literature & Languages) down to under 1% at the bottom (DIY & Home, Education & Science), and the low end is not a quality problem, as we'll see.
So before you call any number good or bad, you need to know which tier and which niche you're comparing against. Pick the wrong reference set and a perfectly strong channel looks weak (or a mediocre one looks great). The two tables below give you both axes.
YouTube engagement rate by subscriber tier
This is the headline. When we line up real channels by subscriber tier, the median engagement rate falls steadily as channels get bigger, a roughly 2.5× spread from the smallest tier we cover to the largest.
| Subscriber tier | Engagement | Avg views | What "good" looks like |
|---|---|---|---|
| Mid (100k–1M) | ~4.2% | ~90k | 3%+ is healthy, 5%+ is strong |
| Macro (1M–10M) | ~3.0% | ~690k | 2.5%+ is healthy, 4%+ is strong |
| Mega (10M+) | ~1.7% | ~5.3M | 1.5%+ is healthy, 2.5%+ is strong |
A few things to keep in mind about these figures. They're medians from top US channels (100k+ subscribers), so the sample skews large: there's no sub-100k row here, and we won't pretend to benchmark small creators we don't have in the set. The "what good looks like" column is a practical read of the spread, not a hard cutoff. And like everything in this post, treat them as rough corridors, not targets, real channels scatter around the median in both directions.
The single most important takeaway: a higher subscriber count usually means a lower engagement rate, not a higher one. The median roughly halves from ~4.2% (mid) to ~3% (macro), then nearly halves again to ~1.7% (mega). This is why "what's a good engagement rate?" has no universal answer, a 1.7% mega channel and a 4.2% mid channel can both be perfectly healthy. If a brand benchmarks a 10M-subscriber creator against a mid-tier 4% and rejects them, they've misread the data. Always grade a channel against its own tier.
Why engagement drops as channels grow
The pattern isn't a fluke of the sample: it's structural, and understanding why keeps you from misreading the numbers.
A small-but-established channel is mostly watched by a tight core of fans who actively sought it out; they're primed to like and comment. As a channel scales into the millions, YouTube's recommendation engine pushes its videos to a far broader, more casual audience, people who clicked from the home feed, watched, and moved on without ever interacting. The video can be just as good; it's simply reaching more people who were never going to comment. More reach, proportionally less interaction.
There's a practical implication for sponsorships: a smaller creator's engaged audience can be more valuable per viewer than a giant channel's casual reach, even though the absolute numbers favor the big channel. That's exactly why engagement is a screening step and not the whole story: you read it alongside reach, audience fit, and price. (We walk through pricing in the sponsorship calculator and the CPM calculator.)
YouTube engagement rate benchmark by niche (2026)
Size is one axis; niche is the other, and it moves the number just as much. Here's the 2026 YouTube engagement rate benchmark by niche, ranked high to low, from the top US channels in each category.
| Niche | Engagement | Avg views |
|---|---|---|
| Spirituality & Religion | ~5.0% | ~170k |
| Literature & Languages | ~4.6% | ~120k |
| Finance & Investing | ~3.9% | ~90k |
| Health & Fitness | ~3.6% | ~620k |
| Beauty & Fashion | ~3.5% | ~770k |
| Autos & Vehicles | ~3.4% | ~670k |
| Technology & Programming | ~3.4% | ~580k |
| Culture & Society | ~3.4% | ~1.4M |
| Business & Entrepreneurship | ~3.2% | ~145k |
| News & Politics | ~3.1% | ~180k |
| Lifestyle & Self-Development | ~2.9% | ~1.2M |
| Adventure & Travel | ~2.8% | ~960k |
| Gaming | ~2.7% | ~2.8M |
| Photography & Film | ~2.4% | ~300k |
| Food & Cooking | ~2.3% | ~2.9M |
| Art & Design | ~2.2% | ~900k |
| Music & Dance | ~2.2% | ~8.9M |
| Animals & Pets | ~2.1% | ~1.8M |
| Sports & Martial Arts | ~1.9% | ~425k |
| Comedy & Entertainment | ~1.3% | ~9.9M |
| DIY & Home | ~0.9% | ~1.7M |
| Education & Science | ~0.7% | ~4.3M |
The headline pattern: niches built around a devoted, identity-driven audience (Spirituality, Literature, Finance, Health & Fitness) cluster at the top, around 3.5–5%. The niches at the bottom (Comedy, DIY, Education & Science) sit under 1.5%.
Here's the part most write-ups get wrong: a low engagement rate in those niches is not a sign of a bad channel. Look at the views column. Comedy & Entertainment medians around ~10M views per video; Education & Science around ~4.3M; DIY around ~1.7M. These are high-reach, low-interaction formats, people watch a comedy sketch or a how-to tutorial and leave satisfied without liking or commenting. The rate per view is low precisely because the denominator is enormous. Frame those niches as reach plays, not engagement failures. A 1% comedy channel pulling 10M views is a far bigger marketing asset than a 5% spirituality channel pulling 170k: they're just different instruments.
Notice that several of the lowest-ER niches have the largest audiences (comedy ~10M, education ~4.3M, DIY ~1.7M median views), while several of the highest-ER niches are comparatively small (finance ~90k, spirituality ~170k). Engagement rate and reach trade off against each other. So don't reject a creator for a "low" rate without checking the niche, in a high-reach category, a sub-2% rate can be completely normal and the channel can still be the best buy on the board.
What counts as "good" for you (find your row)
Put the two axes together and you have a verdict. To judge any channel, yours or one you're vetting:
- Find the tier row for the channel's subscriber count (mid / macro / mega) to get the size-adjusted baseline.
- Find the niche row to adjust for what the audience is wired to do.
- Land between the two. A finance channel (high-ER niche) at 1M subs (macro tier) should comfortably clear ~3–4%. A comedy channel (low-ER niche) at 10M subs (mega tier) is doing fine near ~1.3%. Same 1.3% on a mid-tier finance channel would be a red flag.
A worked example: you're vetting a mid-tier (100k–1M) Health & Fitness creator. The tier baseline is ~4.2% and the niche baseline is ~3.6%, so anything in the ~3.5–4.5% range is healthy; meaningfully above is a standout, and a number down around 1–2% means something's off (bought subscribers, an aging audience, or content that's stopped landing). That's the whole method: compare against your tier and your niche, never one global average. To get the exact rate for a specific channel instead of eyeballing the corridor, drop it into the engagement calculator.
How to check any channel's engagement in 60 seconds
You don't need to pull this by hand. To benchmark a creator quickly:
- Total up the likes, comments and views on the channel's last 10–20 long-form uploads, paste them into the engagement calculator, and read the ERV (by views) result. That is the mode these benchmarks use, so it keeps you out of the subscriber-math trap.
- Read the rate against the tier table first, then the niche table, using the steps above.
- If it clears the bar, move on to fit and price, size the audience and rate with the sponsorship calculator, and sanity-check against the category leaders on top YouTube channels.
- For the full pre-spend checklist this metric belongs to, see how to vet a YouTube creator. Building a shortlist rather than checking one creator? Start from find YouTube channels to pull candidates by niche, then screen each one's engagement the same way.
One last word on what engagement actually tells you. A healthy rate for the tier and niche signals an audience that's real and paying attention, the cheapest, fastest authenticity check before you spend on a partnership. An unexplained low rate (well under the niche/tier norm) is your cue to look closer for inflated subscribers or a disengaged audience. It's a screen, not a verdict: read it next to reach, audience fit, and price, and you'll vet creators far better than a brand staring at subscriber counts alone. For the bigger picture on working with creators end to end, see the complete guide to social media influencers.
Benchmarks are computed from the top 100 US channels in each of 22 niches in our creator index, using each channel's published engagement rate.
Two limits worth stating. It is the top 100 per niche, so these are the larger channels in each category rather than a random sample of YouTube; smaller channels behave differently. And it is US-only; audience geography shifts engagement noticeably.
Use these as peer-group corridors: compare a channel against its own niche and size tier, rather than as universal thresholds.
FAQ
What is a good engagement rate on YouTube in 2026?
There's no single good number: it depends on channel size and niche. Across top US channels, the median engagement rate (likes + comments ÷ views) runs about 4.2% for mid channels (100k–1M subs), ~3% for macro channels (1M–10M), and ~1.7% for mega channels (10M+). By niche it ranges from roughly 5% (Spirituality, Literature) down to under 1% (DIY, Education). Grade a channel against its own tier and niche, not one global average.
How do you calculate YouTube engagement rate?
Engagement rate = (likes + comments) ÷ views × 100. Add the likes and comments from a recent set of videos, divide by their total views, and multiply by 100. The key is dividing by views, not subscribers. Our free engagement calculator does the arithmetic once you paste those numbers in, including an average across recent uploads.
Should YouTube engagement rate be based on views or subscribers?
Views. Dividing by subscribers inflates the number and breaks comparability, because most subscribers never see a given video: YouTube is a recommendation platform, not a follower feed. Views-based engagement is the apples-to-apples standard, and it's the reason random ER calculators disagree: many quietly divide by subscribers.
Why do big YouTube channels have lower engagement rates?
Bigger channels reach a broader, more casual audience pushed out by recommendations rather than a tight core of fans, so more viewers watch without liking or commenting and the same great video earns a lower rate per view. In our data the median drops from ~4.2% (mid) to ~3% (macro) to ~1.7% (mega), a roughly 2.5× spread top to bottom.
Is a 2% engagement rate good on YouTube?
It depends on size. For a mega channel (10M+ subs, ~1.7% median) 2% is above average; for a mid channel (100k–1M, ~4.2% median) it's below par. In high-reach niches like comedy, DIY, or education, 2% is solid because those formats trade interaction for enormous view counts. Always compare against your own tier and niche.