Methodology

How the numbers on this page are calculated. Full glossary, caveats, and source citations are collapsed below.

Active creator = a publish-status profile (m.publish=1) tagged anywhere in Ukraine's location subtree. Idle / abandoned accounts sort to ₴0 estimated revenue and don't influence the Top-1,000 / 50 / 10 brackets, but they are included in the headline counts so the per-region totals match what users see when browsing the underlying location pages.

Yearly creator revenue is modelled, not observed. We start from OnlyFans' disclosed FY platform creator payout of 5.78B USD (80% of platform revenue) and attribute it by each creator's share of platform engagement:

signali = likesi / Σlikes
revenuei = signali × pool

The Σ denominator is computed across every publish-status creator in our database (Σlikes = 6.50B at last refresh). We attribute purely by share of total likes: likes are the truest observable signal of an audience that actively engages with a creator's content, and an engaged audience is the one that converts to paid subscriptions, tips, and PPV. Raw follower counts, by contrast, are inflated by passive, lapsed, and bot follows that never monetise, so a reach-weighted blend would over-credit large-but-cold accounts. Free-priced creators still attribute correctly, since their likes reflect real engagement regardless of subscription price.

Coverage caveat. The full pool is allocated across creators in our database. Findapeach indexes a large but incomplete sample of OnlyFans, so absolute dollar figures should be read as this creator's share of the modelled pool attributable to indexed creators, not this creator's observed earnings. Top-creator monetisation efficiency (whales, custom content, PPV strategy) varies and is not captured; the model assumes likes share == revenue share.

FX: 1 USD ≈ 39.500 UAH - all UAH amounts on this page are converted at this rate.

Region revenue = sum of modelled revenue for all creators in that subtree.

Top-1,000 / 50 / 10 averages = mean of the top-N modelled revenue values within each region.

Comparable Profession = highest rung of a Ukraine-localised salary ladder (the table directly under the main earnings table) whose annual salary sits at or below the bracket average. Bracket averages below the ladder's floor map to "Below Full-Time Wage".

Gender % = each gender's share of the known-gender total (female + male + trans). Blank / unknown is excluded from the denominator so trans-creator share doesn't round to 0 from dataset noise.

Min-wage diff (% Diff vs Yearly Min Wage) = (avg_yr - min_wage) / min_wage × 100, both in UAH. The min wage on this page is the most recent national minimum wage reported by official sources.

Ranking columns: "Rank (No. Models)" sorts by absolute active-creator count; "Rank (Density)" sorts by per-capita density (creators per 100K adults). They are distinct rankings and will disagree for small-population, high-density regions.

Region scope: state / region rows include only sub-locations with at least 15 active publish creators (smaller sub-regions fold into their parent's totals). Cities use the same 15-creator floor and only render when a country has at least 8 such qualifying sub-locations.

Source data: Findapeach.com creator database. One profile = one row. Engagement counts (followers, likes) come from the OnlyFans public API at scrape time; revenue is modelled from those values via the formula above.