Open data

7,669 accounts measured · CC BY 4.0

Instagram engagement falls from 19.3% to 1.0% as accounts grow

We measured likes and comments per post against followers on 7,669 Instagram accounts. The median account under 10,000 followers engages 19.3% of them on a post; the median account above 10 million, 1.0%. Every band with its 25th, 50th, 75th and 90th percentile. Free data, CC BY 4.0.

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7,669
Accounts measured
19.3%
Median rate, under 10K followers
1.0%
Median rate, 10M+ followers

Engagement rate by follower band

Likes plus comments per post, divided by followers, as percentiles across every measured account in the band. The bar is the median.

Engagement rate by follower band
FollowersAccountsp25Medianp75p90Posts per account
Under 10K2246.5%19.3%74.3%301.8%11.8
10K-100K1,2141.6%6.4%17.9%48.5%11.7
100K-1M3,2601.2%3.5%9.1%20.6%11.9
1M-10M2,4230.6%2.0%5.2%11.2%12.0
10M+5480.3%1.0%2.5%5.5%11.9

Every band clears the API’s reliability threshold of 100 accounts. Upper percentiles can pass 100%: an account whose posts travel far beyond its followers collects more likes than it has followers, and that is a real measurement, not an error.

Why the median under 10K is so high

The denominator is tiny

The rate divides likes and comments by followers. An account with 2,000 followers whose reel is pushed to 50,000 people by Instagram’s recommendation feeds collects more likes than it has followers, and its rate passes 100%. In the under-10K band the 90th percentile is 301.8%. That is what reach outrunning a follower count looks like in this metric, which is why we lead with the median and print the quartiles next to it.

Small accounts enter this catalogue because they were already visible

The catalogue is built for discovering and monitoring accounts worth watching, not by sampling Instagram at random. Of the 7,684 accounts with a follower count, only 225 have fewer than 10,000, and most of those arrived through the related-profile edges of large accounts or because a post travelled. A typical small business page with 40 likes on 3,000 followers is under-represented here, so 19.3% describes small accounts that were already worth cataloguing, not small accounts in general.

The definition counts differently from most benchmark pages

This rate counts likes and comments only, over the posts the crawl holds (exactly 12 for 97.6% of accounts), and divides by followers rather than by reach. Pages that divide by reach, include saves and shares, or average a whole year of brand posts land somewhere else. The Limits section sets our figures next to theirs.

What the data shows

Engagement drops at every step up the ladder

The median rate is 19.3% under 10,000 followers, 6.4% at 10K-100K, 3.5% at 100K-1M, 2.0% at 1M-10M and 1.0% above 10 million. The first step cuts it by two thirds; every later step roughly halves it. From the smallest band to the largest the median falls nineteenfold, and the decline is monotonic across all five bands, which is the shape the field expects.

The spread inside a band is wider than the gap between bands

At 100K-1M followers the bottom quarter of accounts sits below 1.2% and the top quarter above 9.1%: a sevenfold range inside one band, more than the gap between neighbouring medians. The same 4% is a shade above the median for an account with 500,000 followers, inside the top half but not the top quarter at 1M-10M, and inside the top quarter above 10 million. Read a rate against its band, never against a platform average.

One account in nine had gone quiet

Across the 21,664 catalogue accounts with both dates, 11.9% had not posted for 30 or more days on the day the crawl read them, 4.9% for 90 or more and 1.2% for more than a year. The median account had posted 2.3 days before its crawl. Smaller accounts go quiet more often: 17.4% of accounts under 10,000 followers were 30 days silent against 10.1% above 10 million.

Most accounts post less than once a week; the giants post twice as often

Across the 1,464 sampled accounts with a measurable rhythm, the median account posts 0.7 times a week; 57.6% post less than weekly and 10.2% daily or more. The rhythm barely moves with size until the very top: accounts under 10K, at 10K-100K, 100K-1M and 1M-10M all sit between 0.56 and 0.66 posts a week, while accounts above 10 million post 1.27 a week and only 42.9% of them post less than weekly.

Reels are 44% of posts, but carousels earn the likes

Reels make up 44.4% of the 20,454 posts in the sample and 86.6% of accounts post them; carousels are 21.5% of posts and appear on 46.0% of accounts. On the 1,028 accounts that post two or more formats, a reel earns 14.4% fewer likes and comments than the account’s own average at the median, a carousel 10.5% more and a single image about the same. Head to head, carousels beat reels on 60.6% of the 467 accounts posting both, and images beat reels on 55.6% of 730. The gap widens with size: reels out-earn carousels on 44.6% of the 83 accounts under 10K that post both, and on 24.0% of the 75 above 10 million. Views are not part of this rate, so the finding is that reels get watched and carousels get liked, not that reels fail.

Quiet accounts, whole catalogue

Share of accounts that had not posted for 30 or 90 days on the day the crawl read them, for every catalogue row with both dates.

Quiet accounts, whole catalogue
FollowersIn catalogueQuiet 30+ daysQuiet 90+ days
Under 10K22517.4%8.0%
10K-100K1,22217.2%7.9%
100K-1M3,26112.5%4.4%
1M-10M2,4289.6%2.7%
10M+54810.1%2.8%
No follower count16,41711.7%5.1%
All accounts24,10111.9%4.9%

Sample size: 21,664

Posting rhythm, 1,500-account sample

Posts per week over the most recent posts the crawl holds, per follower band. Daily means seven or more a week; under weekly means fewer than one.

Posting rhythm, 1,500-account sample
FollowersMedian posts / weekDaily or moreUnder weekly
Under 10K0.669.4%57.4%
10K-100K0.579.9%63.4%
100K-1M0.569.7%62.5%
1M-10M0.598.4%63.6%
10M+1.2712.6%42.9%
No follower count0.7611.4%55.7%
All accounts0.7010.2%57.6%

Sample size: 1,464

Which format works, account by account

Formats of the posts in the sample, and how each format performs against the account’s own average interactions. A format is compared only on accounts that post at least two formats, so a reels-only account does not score its reels against themselves.

Which format works, account by account
FormatShare of postsAccounts using itMedian vs account averageBeats the account averageAccounts compared
Reels44.4%86.6%-14.4%38.2%950
Carousels21.5%46.0%+10.5%58.5%545
Single images34.2%78.5%+0.7%50.7%808

Best format on accounts with two or more rated formats (1,028): Reels 34.0% · Carousels 28.7% · Single images 37.3%

Head to head: on accounts posting both, carousels out-earn reels on 60.6% of 467 accounts, and out-earn single images on 63.7% of 325 accounts.

Sample size: 1,477 accounts, 20,454 posts

Method

  1. Start from the Pinlyx Data API catalogue of public Instagram accounts: 24,101 accounts on 19 September 2026, of which 7,669 (31.8%) carry a follower count and a measured rate. The rest reached the crawl through Instagram’s feed fallback, which returns posts but no profile, so they have posts and timestamps but no follower count.
  2. The API defines the metric, and we quote it rather than restate it: "(mean likes + mean comments) per post, divided by followers, times 100. Computed from the posts the crawl retains for each account, not from a sampled subset chosen at query time." For 97.6% of accounts that is exactly 12 posts.
  3. Group measured accounts into five follower bands and read the 25th, 50th, 75th and 90th percentile of each from GET /insights/instagram/benchmarks. The API marks a band reliable at 100 accounts or more; all five pass, the thinnest holding 224.
  4. Cross-check the ladder by walking the whole catalogue listing (24,101 rows) and recomputing the percentiles from each account’s own rate. They agree with the API ladder to within a tenth of a point on every percentile of every band; the under-10K median is 19.258 either way.
  5. Measure silence from the same walk: for the 21,664 rows carrying both a crawl time and a newest-post time, count the days between them. Crawls ran from 29 August to 19 September 2026, so a gap is measured at the crawl, not at publication.
  6. Draw a stratified random sample of 1,500 handles (250 per follower band, all 225 under 10K, the remainder from accounts without a follower count; seed 20260919). Read the coverage endpoint for each, then the cadence and content-mix endpoints only where coverage listed them. Every figure from the sample is an aggregate; no handle is published.

Limits

The catalogue does not represent the whole of Instagram. It is a set of accounts collected for discovery and monitoring, and it leans toward creators and public figures: of the 3,751 profile-complete accounts that carry an Instagram category label, 58.6% are Artist, Digital creator, Actor, Reel creator, Athlete or Public figure. Brand and company accounts are a minority here.

That population is the main reason our medians sit above the figures on most benchmark pages. Rival IQ’s 2026 report puts the all-industry median at 0.30% and Socialinsider’s at 0.48%, both measured on brand pages over a full year; Sprout Social quotes 2.19% for creators under 10,000 followers; Later gives 4-8% for accounts under 10K and 0.5-1.5% above a million, dividing by reach and counting saves and shares. Our rate counts likes and comments only, divides by followers, uses the 12 most recent posts rather than a year, and reports the median of a creator-heavy population. Different question, different number; neither is wrong.

The follower counts behind the ladder were read between 29 August and 19 September 2026, so the bands are a snapshot of that window rather than a long-run average, and the rate of an account whose recent posts happened to travel is a snapshot too.

Two thirds of the catalogue (16,417 of 24,101 accounts) has no follower count and is outside the ladder. Those accounts are inside the silence, cadence and format figures, which need timestamps and post types rather than followers.

The under-10K band holds 224 accounts. That clears the API’s reliability threshold of 100 but it is the thinnest band, and its upper percentiles are dominated by accounts whose posts reached far beyond their followers. Lead with the median.

Posting rhythm is computed over the most recent posts the crawl holds, 12 for almost every account, so posts per week describes a recent stretch and not a year. Format comparisons are within-account and count likes and comments; views are not part of the rate.

The API’s facets endpoint estimates language, category and follower distributions from a block sample of about 220 rows. We ship those in the JSON labelled as the sample they are and do not chart them; the band composition on this page comes from the full listing walk instead.

Cite this dataset

The data is CC BY 4.0. Use it, quote it, republish it. The only ask is attribution.

Citation
Guven, E. (2026). Instagram engagement rate benchmarks 2026 [Data set]. Pinlyx. https://pinlyx.com/research/instagram-engagement-benchmarks-2026, doi:10.5281/zenodo.22844600
DOI
https://doi.org/10.5281/zenodo.22844600(permanent archive on Zenodo)
HTML
<a href="https://pinlyx.com/research/instagram-engagement-benchmarks-2026">Instagram engagement rate benchmarks 2026</a>, Pinlyx, CC BY 4.0

Frequently asked questions

Exactly as the API defines it: "(mean likes + mean comments) per post, divided by followers, times 100. Computed from the posts the crawl retains for each account, not from a sampled subset chosen at query time." Saves, shares and views are not counted, and the divisor is followers, not reach. For 97.6% of accounts the posts are the 12 most recent ones the crawl read.
It depends entirely on the follower band. At 3% an account under 10,000 followers is in the bottom quarter of its band (p25 is 6.5%), an account at 10K-100K is below the median of 6.4%, an account at 100K-1M is a shade under its median of 3.5%, an account at 1M-10M is above its median of 2.0%, and an account above 10 million is inside the top quarter, where p75 is 2.5%.
Three reasons. The population: our catalogue leans toward creators and public figures, and brand accounts, which those reports measure, engage less. The definition: we count likes and comments per post over the 12 most recent posts and divide by followers, while others divide by reach, add saves and shares, or average a whole year. The statistic: we report the median per band, not a platform-wide mean. The Limits section lists their figures next to ours.
When a post reaches far more people than follow the account, through Reels and Explore recommendations, it can collect more likes than the account has followers. The rate then exceeds 100%. In the under-10K band the 90th percentile is 301.8%, which is why this page leads with the median and prints the quartiles next to it.
Yes. The figures are CC BY 4.0: use them, quote them and republish them, with attribution to Pinlyx and a link to this page. The CSV holds every published figure at full precision and the JSON adds the provenance of each table.

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