2026 Findapeach Earnings Report · Poland
What the high-earners actually take home: average annual earnings per creator in the top-1,000, top-50, and top-10 brackets for every Poland region and the country's biggest cities - matched to a comparable expert-tier profession from a Poland-localised salary ladder.
Jump to the rankings →Local salary benchmarks
Upper-end full-time annual salaries for representative Poland professions, in PLN. Every rung names a real job that typically pays around the amount shown. PLN is stable and fully domestic; wage and household-income figures are rounded 2024 estimates, and PPP is approximate for a mid-2024 urban basket versus NYC=100.
| Annual salary (PLN) | Comparable profession |
|---|---|
| zł51K/yr | sprzedawca detaliczny |
| zł58K/yr | magazynier |
| zł65K/yr | pracownik produkcji |
| zł74K/yr | recepcjonista |
| zł83K/yr | kasjer bankowy |
| zł94K/yr | specjalista ds. obslugi klienta |
| zł106K/yr | technik IT |
| zł120K/yr | nauczyciel |
| zł136K/yr | pielęgniarka |
| zł154K/yr | policjant |
| zł175K/yr | informatyk |
| zł200K/yr | inżynier oprogramowania |
| zł230K/yr | adwokat |
| zł270K/yr | lekarz specjalista |
| zł330K/yr | pilkarz Ekstraklasy |
| zł420K/yr | dyrektor finansowy |
| zł620K/yr | partner w kancelarii prawnej |
| zł1.1M/yr | wlasciciel firmy technologicznej |
| zł2.6M/yr | top model / gwiazda telewizji |
| zł18M/yr | najlepiej zarabiajacy pilkarz lub gwiazda muzyki |
Highest-modelled-revenue publish-status creators in Poland, with followers, likes, modelled annual income (in PLN), and the comparable expert-tier profession from a Poland-localised salary ladder. Income is likes-share attributed against the disclosed OnlyFans creator pool: (likes ÷ Σlikes) × pool. Comparable Profession picks the highest rung from a salary ladder denominated in PLN at or below that modelled figure. Names link to each creator's OnlyFans profile.
| # | Creator | Likes | Followers | Yearly income (PLN) | Comparable Profession |
|---|---|---|---|---|---|
| 1 | ⭐️Mini Loonaa⭐️ | 1,244,479 | 3,357 | zł4.31M | top model / gwiazda telewizji |
| 2 | Polish_Loca | 788,344 | 10,457 | zł2.73M | top model / gwiazda telewizji |
| 3 | Lena Polanski | 721,561 | 360 | zł2.50M | wlasciciel firmy technologicznej |
| 4 | ladyjakubowsky | 350,395 | 8,928 | zł1.21M | wlasciciel firmy technologicznej |
| 5 | Dana Natalli | 339,258 | 5 | zł1.17M | wlasciciel firmy technologicznej |
| 6 | Mira Belka | 325,659 | 1,087 | zł1.13M | wlasciciel firmy technologicznej |
| 7 | Mady_Gio | 313,491 | 972 | zł1.09M | partner w kancelarii prawnej |
| 8 | Donatella | 268,825 | 3,302 | zł931K | partner w kancelarii prawnej |
| 9 | Asia Joanna | 191,046 | 1,211 | zł662K | partner w kancelarii prawnej |
| 10 | Lady Perse | 173,228 | 3,807 | zł600K | dyrektor finansowy |
| 11 | Bunny Marthy 𐔌՞. .՞𐦯 | 153,445 | 707 | zł531K | dyrektor finansowy |
| 12 | Julia | 150,932 | 1,780 | zł523K | dyrektor finansowy |
| 13 | Moniq💋 | 138,143 | 769 | zł478K | dyrektor finansowy |
| 14 | 🌈 Pola Rainbow 🌈 | 133,257 | 6,240 | zł461K | dyrektor finansowy |
| 15 | Lady Klementyna | 133,108 | 4,297 | zł461K | dyrektor finansowy |
| 16 | Kate Edem | 121,680 | 469 | zł421K | dyrektor finansowy |
| 17 | Molly | 119,878 | 157 | zł415K | pilkarz Ekstraklasy |
| 18 | Maya 💕 | 112,431 | 1,688 | zł389K | pilkarz Ekstraklasy |
| 19 | Miss Pam | 110,031 | 3 | zł381K | pilkarz Ekstraklasy |
| 20 | Marta Kowalczyk | 108,934 | 2 | zł377K | pilkarz Ekstraklasy |
| 21 | Wika99 🇵🇱🔥 | 105,799 | 1,413 | zł366K | pilkarz Ekstraklasy |
| 22 | Mary June | 104,954 | 4,597 | zł363K | pilkarz Ekstraklasy |
| 23 | KARRDE.PL 18+ | 104,768 | 9,499 | zł363K | pilkarz Ekstraklasy |
| 24 | MahoganyQen | 104,385 | 7,713 | zł361K | pilkarz Ekstraklasy |
| 25 | Ivy Lipps 💜 | 99,681 | 2,510 | zł345K | pilkarz Ekstraklasy |
| Top 25 total / average | zł22.6M (zł903K avg) | ||||
Active publish-status creators in each major Poland region. Bars are scaled to the largest region.
Average OnlyFans creator earnings against Poland wage anchors. All figures in PLN.
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 Poland's location subtree. Idle / abandoned accounts sort to zł0 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 / Σlikesrevenuei = 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 ≈ 3.950 PLN - all PLN 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 Poland-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 PLN. 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 | Poland region 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 ($M) | Calculated | Estimated annual creator revenue for this state in millions of PLN |
| Top 1,000 - Avg Earnings ($/yr) | Calculated | Average estimated annual earnings per creator within the top-1,000-earner bracket for this state, displayed in compact form ($XK / $X.XM) |
| Top 1,000 - Comparable Profession | Reference | A expert-tier profession from the global ladder whose median annual salary is closest to the Top-1,000 average for this state |
| Top 50 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 50 earners |
| Top 50 - Comparable Profession | Reference | A expert-tier profession from the global ladder whose median salary is closest to the Top-50 average for this state |
| Top 10 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 10 earners |
| Top 10 - Comparable Profession | Reference | A expert-tier profession from the global ladder whose median salary is closest to the Top-10 average for this state |
| Column in Spreadsheet | Type | Description |
|---|---|---|
| City | Raw | Poland city name, validated against master city reference database |
| State | Raw | The Poland region or territory the city sits in (e.g. a city resolved to its enclosing state or region). |
| Total Models | Extrapolated | Estimated total creators in this city (two-stage extrapolation) |
| Rank (Models) | Calculated | City rank by estimated creator count within the US top 100 |
| Rank (Density) | Calculated | City rank by creator density relative to city adult population |
| % Female / % Male / % Trans | Calculated | Gender breakdown as direct percentages |
| Yearly OF Model Revenue ($M) | Calculated | Estimated annual creator revenue for this city in millions of PLN |
| Avg Annual/Model ($) | Calculated | Estimated mean annual creator earnings |
| Min Wage/Yr ($) | Reference | Annual minimum wage applicable to this city in PLN |
| % 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 / $X.XM) |
| Top 1,000 - Comparable Profession | Reference | A expert-tier profession from the global ladder whose median annual salary is closest to the Top-1,000 average for this city |
| Top 50 - Avg Earnings ($/yr) | Calculated | Same metric, averaged across the top 50 earners |
| Top 50 - Comparable Profession | Reference | A expert-tier profession from the global ladder 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 expert-tier profession from the global ladder 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 Poland 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) |