2026 Findapeach Earnings Report Β· South Africa
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 South Africa region and the country's biggest cities - matched to a comparable expert-tier profession from a South Africa-localised salary ladder.
Jump to the rankings →
Local salary benchmarks
Upper-end full-time annual salaries for representative South Africa professions, in ZAR. Every rung names a real job that typically pays around the amount shown. ZAR is relatively volatile, so 2024 USD conversion is approximate. Household income is highly unequal; the ladder is anchored to realistic South African pay bands and top domestic celebrity earnings.
| Annual salary (ZAR) | Comparable profession |
|---|---|
| R55K/yr | Retail assistant |
| R63K/yr | Cashier |
| R72K/yr | General worker |
| R82K/yr | Call centre agent |
| R93K/yr | Security guard |
| R106K/yr | Admin clerk |
| R121K/yr | Junior bookkeeper |
| R138K/yr | Qualified teacher |
| R158K/yr | Registered nurse |
| R181K/yr | Electrician |
| R207K/yr | Police sergeant |
| R238K/yr | Civil engineer |
| R275K/yr | Chartered accountant |
| R330K/yr | Commercial pilot |
| R420K/yr | Senior advocate |
| R560K/yr | Orthopaedic surgeon |
| R820K/yr | Plant manager |
| R1.5M/yr | Chief executive officer |
| R4.5M/yr | Springbok star |
| R15M/yr | Top SA musician or film star |
Highest-modelled-revenue publish-status creators in South Africa, with followers, likes, modelled annual income (in ZAR), and the comparable expert-tier profession from a South Africa-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 ZAR at or below that modelled figure. Names link to each creator's OnlyFans profile.
| # | Creator | Likes | Followers | Yearly income (ZAR) | Comparable Profession |
|---|---|---|---|---|---|
| 1 | Allyson_Grey | 250,362 | 10,210 | R4.20M | Chief executive officer |
| 2 | Becky and The Twins | 194,891 | 252,315 | R3.27M | Chief executive officer |
| 3 | π’TheHotwifeZAπ XXX videos! | 164,563 | 1,209 | R2.76M | Chief executive officer |
| 4 | Milkshake Samme | 144,243 | 1,251 | R2.42M | Chief executive officer |
| 5 | ππ soph β§ΛπΈβΒ°β§ | 118,479 | 4,189 | R1.99M | Chief executive officer |
| 6 | AdySweet | 114,251 | 188 | R1.91M | Chief executive officer |
| 7 | Megan Mae π (RATED #1 M!LF ON OF π) | 109,340 | 4,017 | R1.83M | Chief executive officer |
| 8 | Lil Baby Doll | 100,629 | 670 | R1.69M | Chief executive officer |
| 9 | Anelay_ndlovu | 96,499 | 2,445 | R1.62M | Chief executive officer |
| 10 | π Petite Mini π | 85,895 | 160 | R1.44M | Plant manager |
| 11 | Kim Tiddies | 85,677 | 1 | R1.44M | Plant manager |
| 12 | Mr Beef | 80,642 | 1,223 | R1.35M | Plant manager |
| 13 | Kat β₯οΈ | 78,096 | 3,409 | R1.31M | Plant manager |
| 14 | Jamie (or mommy lol) β€οΈβπ₯ | 73,407 | 12,138 | R1.23M | Plant manager |
| 15 | Leiaβ₯οΈ | 72,582 | 2,500 | R1.22M | Plant manager |
| 16 | BlackTarzanX | 67,489 | 228 | R1.13M | Plant manager |
| 17 | Cath may π· | 65,719 | 1,199 | R1.10M | Plant manager |
| 18 | π Skyy π πΏπ¦ | 65,438 | 29,180 | R1.10M | Plant manager |
| 19 | GoGirl | 61,851 | 122 | R1.04M | Plant manager |
| 20 | Alyssa Winter Experience π€ | 56,200 | 6,065 | R942K | Plant manager |
| 21 | LiamΓ© | 50,816 | 48 | R852K | Plant manager |
| 22 | Skylar Foxπ¦ | 49,313 | 6,983 | R826K | Plant manager |
| 23 | Rideordie04 | 48,098 | 3,863 | R806K | Orthopaedic surgeon |
| 24 | Lea and Bear | 44,589 | 2,061 | R747K | Orthopaedic surgeon |
| 25 | aaliyah ππ | 42,901 | 16,503 | R719K | Orthopaedic surgeon |
| Top 25 total / average | R38.9M (R1.56M avg) | ||||
Active publish-status creators in each major South Africa region. Bars are scaled to the largest region.
Active publish-status creators per 100,000 adult residents in each major South Africa region. Bars are scaled to the highest-density region.
Average OnlyFans creator earnings against South Africa wage anchors. All figures in ZAR.
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 South Africa's location subtree. Idle / abandoned accounts sort to R0 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 ≈ 18.800 ZAR - all ZAR 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 South Africa-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 ZAR. 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 | South Africa 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 ($M) | Calculated | Estimated annual creator revenue for this state in millions of ZAR |
| Top 1,000 - Avg Earnings ($/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 ($/yr) | Calculated | Same metric, averaged across the top 10 earners |
| Top 10 - Comparable Profession | Reference | A expert-tier profession from the global ladder whose median salary is closest to the Top-10 average for this state |
| Column in Spreadsheet | Type | Description |
|---|---|---|
| City | Raw | South Africa city name, validated against master city reference database |
| State | Raw | The South Africa region or territory the city sits in (e.g. a city resolved to its enclosing state or region). |
| Total Models | Extrapolated | Estimated total creators in this city (two-stage extrapolation) |
| Rank (Models) | Calculated | City rank by estimated creator count within the US top 100 |
| Rank (Density) | Calculated | City rank by creator density relative to city adult population |
| % Female / % Male / % Trans | Calculated | Gender breakdown as direct percentages |
| Yearly OF Model Revenue ($M) | Calculated | Estimated annual creator revenue for this city in millions of ZAR |
| Avg Annual/Model ($) | Calculated | Estimated mean annual creator earnings |
| Min Wage/Yr ($) | Reference | Annual minimum wage applicable to this city in ZAR |
| % 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 South Africa 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) |
