Spotify’s own disclosed global earnings tiers concentrate money roughly 2.9 times faster, per percentage point of the population behind them, than the top fifth of this desk’s own 50-artist African Spotify panel did on 16 October 2026. The 1,500 artists worldwide Spotify says earned $1,000,000 or more in 2025 are 1.5 per cent of the at-least-100,000 artists the company’s own disclosures confirm it ranks, and hold a floor of 13.64 per cent of the $11,000,000,000 it paid the industry that year, a ratio of 9.09. The panel’s top ten artists, one-fifth of the 50 names on it, hold 63.63 per cent of the panel’s $48,284.88 in modeled chart-day gross, a ratio of 3.18. Swap in Spotify’s more extreme $10,000,000-plus tier and the gap widens to 28.6 times, a figure this desk’s own robustness check shows one single row is responsible for 88.1 per cent of.
A ratio of 1 would mean a segment's share of money matches its share of population exactly. All three segments sit well above that line; the two global tiers sit much further above it than the panel does.
Show the numbers
| Segment | Concentration ratio (share %% / population %%) |
|---|---|
| Spotify global tier: earned $10,000,000 or more in 2025 | 90.87 |
| Spotify global tier: earned $1,000,000 or more in 2025 | 9.09 |
| This desk's African Spotify panel: top 10 of 50 artists, 16 October 2026 | 3.18 |
Source: Computed from loud-and-clear-concentration-floor-2025, spotify-loud-and-clear-tiers-2025 and panel-gross-concentration-16-october-2026, retrieved 16 Oct 2026 · download the data
| # | Segment | % of reference population | Share of money, % | Concentration ratio (share %% / population %%) |
|---|---|---|---|---|
| 1 | Spotify global tier: earned $10,000,000 or more in 2025 | 0.08 | 7.27 | 90.87 |
| 2 | Spotify global tier: earned $1,000,000 or more in 2025 | 1.50 | 13.64 | 9.09 |
| 3 | This desk's African Spotify panel: top 10 of 50 artists, 16 October 2026 | 20 | 63.63 | 3.18 |
Source: Computed from loud-and-clear-concentration-floor-2025, spotify-loud-and-clear-tiers-2025 and panel-gross-concentration-16-october-2026, retrieved 16 Oct 2026 · download the data
What the ratio is made of#
The panel side is this desk’s spotify-african-artists-global snapshot for 16 October 2026: every artist whose country MusicBrainz registers as African, resolved to lead artist, across Spotify’s 75 published daily Top 200 charts. That gave 50 artists and, priced at Duetti’s measured 2024 global Spotify rate of $3.00 per 1,000 streams, $48,284.88 in modeled chart-day gross between them. FOLA alone holds $6,304.77 of it, 13.06 per cent, with Seyi Vibez, Asake and BNXN close behind; all four are Nigerian. The next four highest earners, Ramy Sabry, Hamo El Mareshdy, TUL8TE and Tamer Ashour, are Egyptian. No South African, Moroccan or Algerian artist reaches the panel’s top ten. Together, that top ten, one-fifth of the panel’s names, already holds 63.63 per cent of its priced gross.
The global side is Spotify’s own Loud & Clear report, covering calendar year 2025 and published 11 March 2026. The company states that 80 artists worldwide earned $10,000,000 or more that year and that 1,500 earned $1,000,000 or more, against $11,000,000,000 paid to the whole industry. Multiplying each tier’s count by its own threshold produces a floor, not an estimate, of what that tier holds: 80 artists at a minimum of $10,000,000 each is at least $800,000,000, a floor of 7.27 per cent of the $11bn total; 1,500 artists at a minimum of $1,000,000 each is at least $1,500,000,000, a floor of 13.64 per cent. The true share each tier holds is higher than these floors by an unknown amount, because most artists in a tier earn more than its threshold, not exactly it. The same report discloses that the artist ranked 100,000th by earnings in 2025 took home $7,300, which confirms a ranked population of at least 100,000 artists, itself a floor since Spotify does not publish how many artists it ranks in total.
Why this desk declined to compute a ratio on 10 October, and what changed#
This desk’s 10 October piece on the same panel put the $1,000,000-tier floor of 13.64 per cent next to the panel’s own 61.72 per cent top-ten share and explicitly declined to turn the two into a ratio, writing that “the two figures are not measuring the same thing and are not a ratio against each other.” That was correct as stated: 13.64 per cent of a global, full-year, all-platform total and 61.72 per cent of one day’s 50-artist chart sample are not interchangeable percentages of the same pool of money, and dividing one by the other would produce a number with no defensible meaning.
What this piece computes instead is not that ratio. It normalizes each share by the population that produced it before comparing: Spotify’s $1,000,000 tier is 1.5 per cent of a 100,000-artist reference population holding a 13.64 per cent floor of the money, a concentration ratio of 9.09; this panel’s top ten is 20 per cent of a 50-artist population holding 63.63 per cent of the panel’s money, a ratio of 3.18. That comparison still spans two different kinds of number, a disclosed floor against a fully computed figure, and two different money pools, which the limits section below does not let go of. But it answers a narrower, checkable question the raw percentages alone cannot: given how large a slice of its own population each segment’s top tier is, which one concentrates money faster. By that measure, Spotify’s own global disclosure, even understated as a floor, concentrates faster than this desk’s African chart sample does.
Testing the finding#
The panel-side numbers check against each other the way this desk requires. Removing the panel’s single top artist, FOLA, drops its priced gross by exactly 13.06 per cent, the same figure the concentration curve already showed him holding; removing the top three drops it 33.29 per cent, again matching. That is a dataset agreeing with itself through two independently run commands, not a coincidence.
| # | Scenario | Rows | Total | Largest row share, % | Change in total, % | Change in mean, % |
|---|---|---|---|---|---|---|
| 1 | All rows | $50 | $48,285 | $13.06 | $0 | $0 |
| 2 | Excluding the top 1 (FOLA) | $49 | $41,980 | $13.74 | $-13.06 | $-11.28 |
| 3 | Excluding the top 3 (FOLA, Seyi Vibez, Asake) | $47 | $32,213 | $11.60 | $-33.29 | $-29.03 |
| 4 | Excluding the top 5 (FOLA, Seyi Vibez, Asake, BNXN, Ramy Sabry) | $45 | $25,835 | $10.21 | $-46.49 | $-40.55 |
Source: Recomputed from panel-artist-gross-16-october-2026, retrieved 16 Oct 2026 · download the data
The three-row concentration-ratio comparison does not hold up nearly as well, and this desk ran the same leave-one-out test on it rather than assume it would. Removing the single most extreme row, Spotify’s $10,000,000-plus tier, drops the comparison’s combined ratio total by 88.1 per cent. One row very nearly is the finding at that end of the comparison: an artist count of 80 against a 100,000-artist reference population is a vanishingly small percentage, 0.08 per cent, and dividing any real floor-share by a number that small will produce a large ratio almost regardless of the share. The $1,000,000 tier’s comparison is not immune to the same mechanics, just less exposed to them: 1.5 per cent of the reference population is still a small denominator next to the panel’s 20 per cent. The 9.09-versus-3.18 comparison, a 2.9-times gap, is the more defensible number in this piece. The 28.6-times gap built from the $10,000,000 tier is real, sourced and correctly computed, and it is also the single most fragile number here.
| # | Scenario | Rows | Total | Largest row share, % | Change in total, % | Change in mean, % |
|---|---|---|---|---|---|---|
| 1 | All rows | 3 | 103.14 | 88.10 | 0 | 0 |
| 2 | Excluding the top 1 (Spotify global tier: earned $10,000,000 or more in 2025) | 2 | 12.27 | 74.08 | -88.10 | -82.16 |
Source: Recomputed from global-tier-vs-panel-concentration-ratio-16-october-2026, retrieved 16 Oct 2026 · download the data
The limits that do not go away#
Spotify’s two global tiers are not independent amounts to be added together: every artist who earned $10,000,000 or more in 2025 also cleared $1,000,000, so the 1,500-artist tier already contains the 80-artist tier inside it. This piece treats them as two separate looks at the same disclosure, never as a combined floor, and the dataset behind this piece is built the same way.
The 100,000-artist reference population is itself a floor, the one population anchor Spotify discloses, not a count of every artist it pays. If the true monetised population is larger, as it almost certainly is, both global ratios understate the true concentration rather than overstate it, which would widen this piece’s finding, not narrow it.
The panel’s $48,284.88 prices one day’s chart streams in Spotify’s 75 published markets at a public global average rate, not any artist’s actual statement, not total consumption, and not a full year. The global $11bn figure is Spotify’s own self-reported total across every platform tier, market and genre for a full calendar year. Neither total is a meaningful absolute-dollar comparison against the other, and this piece does not make one; every number above compares a share of money to a share of population within its own side of the comparison, then compares the two resulting ratios.
And the panel itself is a measurement artefact of which four African countries Spotify publishes a chart for. An artist’s absence from the top ten says nothing about earnings on platforms, or in African markets, this panel does not cover.
One more asymmetry works against this piece’s own finding, not for it, and deserves stating plainly rather than folded into the paragraph above. The panel’s 50 names are not a random slice of working African artists: they are already the most-streamed African acts on any given day, an elite subsample by construction, because only chart entrants are counted at all. Spotify’s 100,000-artist reference population is not elite in the same way; it is every artist the company ranks, down to acts far more marginal than anyone on this panel. A top tier carved out of an already-elite 50-name group will tend to look less concentrated, relative to its population, than the same kind of top tier carved out of a long-tailed population of 100,000, for reasons that have nothing to do with which market actually distributes money more fairly. This piece cannot separate that effect from a genuine difference in concentration, and it is the main reason the comparison is marked low confidence rather than medium.
What this means for artists and labels#
First, the alarm a 50-artist sample can produce, one act holding 13 per cent of a day’s modeled gross, reads differently once it is set against the one population benchmark Spotify actually discloses. By the more defensible of the two ratios in this piece, the real global curve concentrates money close to three times faster, per population point, than this regional panel does. An artist worried about a top-heavy national chart is worried about a curve that is, by this measurement, flatter than the one above it.
Second, do not cite the 28.6-times figure without the caveat attached to it. It is the correctly computed, honestly sourced product of dividing a 7.27 per cent floor by a 0.08 per cent population share, and this desk’s own robustness test shows it is also the single most row-dependent number published here this week. Use the 9.09-versus-3.18 comparison, 2.9 times, when the point needs to survive scrutiny.
Third, the panel’s own concentration has not loosened since this desk first measured it. The top ten held 61.72 per cent of priced gross on 8 October and 63.63 per cent on 16 October, eight days and one data refresh apart. A catalogue or slate priced against “the African Spotify panel” is still being priced against a number a small group of chart positions, not fifty, actually determines.
