Method
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.