2026 Findapeach Earnings Studies
How the numbers in the 2026 Findapeach OnlyFans earnings studies are calculated — data sources, modelling formula, FX rates, glossary, limitations, and citations. The same methodology applies to the country, state, city, and global reports.
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 Australia's location subtree. Idle / abandoned accounts sort to A$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 = 0.5 × (followersi / Σfollowers) + 0.5 × (likesi / Σlikes)revenuei = signali × pool
The Σ denominators are computed across every publish-status creator in our database (Σfollowers = 415.8M, Σlikes = 6.50B at last refresh). 50/50 weighting is deliberate: it values reach and engagement equally, neither penalises free-tier creators (who would zero out under a price-based model) nor newer creators (who don't yet have lifetime likes).
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 engagement share == revenue share.
FX: 1 USD ≈ 1.520 AUD - all AUD 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 Australia-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 AUD. 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.
| Column in Spreadsheet | Type | Description |
|---|---|---|
| State | Raw | Australian state name; all 8 states & territories are covered |
| Total Models | Extrapolated | Estimated total creators in this state (two-stage extrapolation) |
| Ranking (No. Models) | Calculated | State rank by estimated creator count; 1 = most creators |
| Ranking (By Density) | Calculated | State rank by creators per 100,000 adult residents |
| % Female | Calculated | Share of profiles classified as female, as a direct percentage (e.g. 82.89) |
| % Male | Calculated | Share classified as male (non-trans), as a direct percentage |
| % Trans | Calculated | Share with "trans" in gender field, as a direct percentage |
| Yearly Revenue ($M) | Calculated | Estimated annual creator revenue for this state in millions of AUD |
| Top 1,000 - Avg Earnings ($/yr) | Calculated | Average estimated annual earnings per creator within the top-1,000-earner bracket for this state, displayed in compact form ($XK / $X.XM) |
| Top 1,000 - Comparable Profession | Reference | A Australian occupation whose median annual salary is closest to the Top-1,000 average for this state |
| Top 50 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 50 earners |
| Top 50 - Comparable Profession | Reference | A Australian occupation whose median salary is closest to the Top-50 average for this state |
| Top 10 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 10 earners |
| Top 10 - Comparable Profession | Reference | A Australian occupation whose median salary is closest to the Top-10 average for this state |
| Column in Spreadsheet | Type | Description |
|---|---|---|
| City | Raw | Australian city name, validated against master city reference database |
| State | Raw | The Australian state or territory the city sits in (e.g. a city resolved to its enclosing state or region). |
| Total Models | Extrapolated | Estimated total creators in this city (two-stage extrapolation) |
| Rank (Models) | Calculated | City rank by estimated creator count within the US top 100 |
| Rank (Density) | Calculated | City rank by creator density relative to city adult population |
| % Female / % Male / % Trans | Calculated | Gender breakdown as direct percentages |
| Yearly OF Model Revenue ($M) | Calculated | Estimated annual creator revenue for this city in millions of AUD |
| Avg Annual/Model ($) | Calculated | Estimated mean annual creator earnings |
| Min Wage/Yr ($) | Reference | Annual minimum wage applicable to this city in AUD |
| % Diff vs Yearly Min Wage | Calculated | Percentage difference between avg model earnings and annual minimum wage |
| Top 1,000 - Avg Earnings ($/yr) | Calculated | Average estimated annual earnings per creator within the top-1,000-earner bracket for this city, in compact form ($XK / $X.XM) |
| Top 1,000 - Comparable Profession | Reference | A Australian occupation whose median annual salary is closest to the Top-1,000 average for this city |
| Top 50 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 50 earners |
| Top 50 - Comparable Profession | Reference | A Australian occupation whose median salary is closest to the Top-50 average for this city |
| Top 10 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 10 earners |
| Top 10 - Comparable Profession | Reference | A Australian occupation whose median salary is closest to the Top-10 average for this city |
| Source | Used For | Link |
|---|---|---|
| OnlyFans | Publicly visible profile data (location, gender, price, followers, subscribers) | onlyfans.com |
| National statistics agency - industry & workforce data | State-level industry revenue data (NAICS codes, 2022 data) | census.gov/economic-census |
| US Department of Labor | Federal and state minimum wage rates | dol.gov/minimum-wage/state |
| Official population estimates | State population figures, adult population ratios | census.gov/popest |
| Macrotrends | City metropolitan area population figures (used for city density rankings) | macrotrends.net |
| Numbeo | Cost of living indices by Australian city (NYC = 100 baseline) | numbeo.com/cost-of-living |
| OnlyFans Financial Reporting | Platform revenue estimates ($7.22B gross, 80% creator share) | fenixintl.com (Companies House filings) |
All Findapeach 2026 earnings studies (country, state, city, and global) share the methodology described on this page.
Findapeach, 2026 OnlyFans Earnings Comparison Reports. https://findapeach.com/studies/