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2026 Findapeach Earnings Report · Virginia

The 2026 Virginia OnlyFans Earnings Comparison Report

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 major city in Virginia and the state's 100 biggest cities - alongside the same creator counts, gender mix, prices, followers, and minimum-wage comparisons as our 2026 Virginia location report.

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Virginia Cities
1,916
Active Creators
1.1%
Creator Share

Introduction

At Findapeach.com, we operate at the intersection of data science and adult content. As one of the leading metasearch engines for OnlyFans and their over 400 million monthly visitors, we focus on the platform's most active creators - a number closer to 699,000 who are regularly publishing and monetizing their work. This unique position gives us a front-row view of both the creator and consumer sides of the industry.

Virginia is one of the largest concentrations of OnlyFans creators in Virginia - an estimated 345,892 active models generating over $3 billion in annual creator revenue, accounting for 49.6% of the global platform total. But that national figure hides enormous variation. This page breaks Virginia down by all 50 states and the top 100 creator cities to answer: Where exactly are Virginia's creators, and which places punch above their weight?


How We Built the Dataset

The dataset combines our proprietary scraper (which continuously crawls OnlyFans for creator data) with a third-party export of verified profiles. We applied strict inclusion criteria for active accounts: login activity within the last 6 months, at least 5 posts or media items, and no inactive or closed status. This means the dataset represents creators who are actively trying to generate revenue on the platform - not every account ever registered. Free-text locations were cleaned and standardized (e.g., "Chicago" becomes Chicago; whimsical entries like "Hogwarts" or "North Pole" are marked Unknown).

City-level entries are validated against a master reference database to ensure only genuine cities appear in the rankings - state names, territories, and regional descriptors are excluded. Comparisons use metro-area populations (sourced from Macrotrends) rather than strict city limits, as creators typically self-identify with the nearest major hub (e.g., Evanston creators list "Chicago"; Fort Lauderdale creators often say "Miami"). Boroughs and satellite areas are aggregated into parent metros (e.g., Brooklyn merges into New York City; the DMV area rolls into Washington, D.C.). Dallas Fort Worth is retained as a single ranking entry despite spanning two cities - the bulk of creators in that metro self-list their location as "Dallas Fort Worth" with no consistent split between Dallas proper and Fort Worth, so any disaggregation would be arbitrary; the metro is treated as one entity for ranking purposes. State populations use US Census Bureau estimates.

The results provide the most detailed publicly available breakdown of where Virginia's OnlyFans creators are concentrated - both in absolute numbers and on a per-adult-population basis.


Instructions for Journalists

How to use this page:
  • This page covers two datasets: Virginia Cities (all 50 states) and Top Cities in Virginia. For the global country rankings and worldwide city rankings, see Page 1.
  • Sortable Columns
    Sort columns to compare creator count, creator density per 100,000 adults, average earnings, and how creator income compares to the local minimum wage.
  • Top 1,000 / Top 50 / Top 10 Earnings Columns
    The last three sortable columns show average annual earnings per creator within each top bracket. For each location we model yearly revenue per active creator by engagement-share attribution against OnlyFans' disclosed creator payout pool ($5.776B), signali = 0.5 × followers/Σf + 0.5 × likes/Σl; revenuei = signali × pool, rank descending, and average across the top 1,000, top 50, and top 10. See the Methodology section at the bottom of the page for the full formula and caveats.
  • All images in this study are free for you to use.

The Total Models figures in the tables below are extrapolated estimates that account for creators who don't list a location. The profile counts shown on individual Findapeach pages are observed (raw) counts. Both are valid - they answer different questions. For definitions, formulas, and caveats, see the Methodology section at the bottom of the page.

For journalists & editors
2026 Virginia OnlyFans Earnings — Press Kit
Modelled annual earnings for every publish-status creator in our Virginia index, with regional and per-capita rankings, salary-ladder comparisons, and downloadable charts & data.
$615K
Top Virginia creator (modelled, 2025)
$169K
Top-10 cutoff (rank #10 modelled income)
10
Disclosed top Virginia creators in this report
Download press kit (CSV + charts + 1-page PDF) Methodology Email press

Free to use with attribution. Spokesperson available same-day for quotes and fact-checking. Email press@findapeach.com.

Suggested citation: Findapeach, 2026 Virginia OnlyFans Earnings Comparison Report, https://findapeach.com/studies/virginia-onlyfans-earnings-2026.html

For journalists & editors
Virginia data — comparison anchors & news pegs
Data points, news-peg anchors, and like-vs-like comparisons. Pull any number directly; methodology + downloadable CSVs at press-kit-2026.html.
Age distribution · data point
Top earners overwhelmingly skew 18–24
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creators in the 25–34 bracket among the top 10,000 globally by engagement
Virginia top 100 by engagement
18–24: 70 · 25–34: 0 · 35–44: 5 · undisclosed: 25
Virginia full pool (1,885 creators)
18–24: 771 (40.90%) · 25–34: 5 (0.27%)
Sydney Sweeney (age 28, plays Cassie in Euphoria S3) sits in the 25-34 bracket. Across the global top 1,000, zero creators are in this bracket.
Source: FindaPeach index, publish-status creators (age_range self-disclosed on profile, 99.95% coverage)
News-peg anchor · entertainment
Euphoria S3 reality-check
12 April 2026
Euphoria Season 3 premiere on HBO / Max
Cassie (Sydney Sweeney) starts an OnlyFans to pay for her wedding to Nate. The character is in her early-to-mid 20s; the actress is 28.
In Virginia's top 100 disclosed creators by engagement, 0 are in Sydney Sweeney's age bracket.
Source: Variety (April 2026); HBO/Max
Corporate disclosure cross-check
Modelled vs reported revenue
$7.2B
OnlyFans FY2024 corporate revenue (Companies House filing, Feb 2025)
~$5.76B implied creator payout (OnlyFans retains 20% per platform fee disclosure)
Our modelled creator-payout total reconciles against this corporate figure. See methodology for the disclosed-pool extrapolation.
Source: OnlyFans Companies House filings; Variety 19 Feb 2025
  • Total Models
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  • Rankings By No. of Models
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  • Rankings By Density
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  • % of Performers Who are Female
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  • % of Performers Who are Male
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  • % of Performers Who are Trans
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  • Yearly OF Model Revenue ($M)
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  • Avg Annual/Model ($)
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  • Min Wage/Yr ($)
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  • % Diff vs Yearly Min Wage
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  • Top 1,000 - Avg Earnings ($/yr)
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  • Top 1,000 - Comparable Profession
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  • Top 50 - Avg Earnings ($/yr)
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  • Top 50 - Comparable Profession
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  • Top 10 - Avg Earnings ($/yr)
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  • Top 10 - Comparable Profession
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Virginia Results

Most successful Virginia models

Highest-modelled-revenue publish-status creators in Virginia, with followers, likes, modelled annual income (in USD), and the comparable expert-tier profession from a Virginia-localised salary ladder. Income is engagement-share attributed against the disclosed OnlyFans creator pool: 0.5 × (followers ÷ Σfollowers) + 0.5 × (likes ÷ Σlikes) × pool. Comparable Profession picks the highest rung from a salary ladder denominated in USD at or below that modelled figure. Names link to each creator's OnlyFans profile.

# Creator Likes Followers Yearly income (USD) Comparable Profession
1Pyra Fae255,257414$615KPartner at Midsize Law Firm
2Maya ✨179,04259$432KPartner at Midsize Law Firm
3Christina linn159,022860$383KPartner at Midsize Law Firm
4Serqett157,40613$379KPartner at Midsize Law Firm
5OXoliviaXO124,5582,080$300KPartner at Midsize Law Firm
6Off Grid Misty ☼ 🌲🌲😛😛111,1671,041$268KCorporate Lawyer
7JuniperCandy (Free)106,778185$257KCorporate Lawyer
8KurvyBlondeWife84,7265,985$204KCorporate Lawyer
9Sky80,50324,846$194KCorporate Lawyer
10SnowyArches70,0661,466$169KPhysician
11NOVAdesi64,26193,896$155KPhysician
12Deemanni💦😈61,60026$148KPhysician
13Eve Lawrence60,04734$145KPhysician
14Downtownn Abbyy59,449425$143KPhysician
15xXxCourtneyGxXx56,221888$136KPhysician
16Valerie 🌸 May52,631179$127KAttorney
17BEE51,691234$125KAttorney
18B51,3231,888$124KAttorney
19𝐊𝐞𝐥 𝐊𝐚𝐬𝐬𝐢𝐝𝐲🩷🫧 𝑷𝑨𝑾𝑮🍑50,57413,537$122KAttorney
20Sexy Lexi 💘50,3301$121KAttorney
21Nishisvoodoo49,99666$120KAttorney
22BeefyCupCake49,727431$120KAttorney
23BBWCREAMCATCHER47,984572$116KAttorney
24Toxicraine47,389808$114KAttorney
25Long Brick47,317291$114KAttorney
Top 25 total / average $6.59M ($264K avg)

Distribution

Virginia cities by active creator count

Active publish-status creators in each major Virginia city. Bars are scaled to the largest city in the state.

Richmond
198 creators
Virginia Beach
109 creators
Norfolk Virginia
108 creators
Newport News
30 creators

Profession ladder used in the table above

These are upper-end, full-time "expert in the field" salaries - not entry-level pay and not part-time wages. A "Cardiologist" benchmark means a senior cardiologist at the top of their career, not a first-year resident; a "Retail Cashier" benchmark means a senior full-time worker in a high-cost market, including benefits and shift premiums, not someone on a few part-time shifts. Each Top-1,000 / Top-50 / Top-10 value in the state and city tables is matched to the highest rung whose salary is below it. Top-N averages below the floor (a full-time minimum-wage job) are labelled "Below Full-Time Wage".

Expert annual salary (USD) Comparable Profession
$35K/yrRetail Cashier
$45K/yrRetail Salesperson
$60K/yrBartender
$85K/yrPlumber
$110K/yrRegistered Nurse
$150K/yrPolice Captain
$190K/yrHigh School Principal
$250K/yrBig Tech Engineering Manager
$350K/yrFamily Dentist
$525K/yrCardiologist
$800K/yrNon-Equity Big Law Partner
$1.3M/yrWall Street Managing Director
$2.2M/yrNFL Veteran
$3.5M/yrTop Neurosurgeon
$5.5M/yrNBA Bench Player
$10M/yrHollywood Lead Actor
$20M/yrFortune 100 CEO
$40M/yrTop Tier Pop Star
$70M/yrA List Movie Star

Earnings vs Virginia labour-market benchmarks (USD)

Average OnlyFans creator earnings in Virginia against state and national wage anchors.

Avg OF creator (Virginia)
$6,460/yr
Virginia min wage (annualised)
$27,040/yr
US federal min wage (annualised)
$15,080/yr
US median household income
$74,580/yr

Virginia OnlyFans creator economy vs peer Virginia industries (USD)

Virginia OnlyFans creators generated approximately $12M in 2024 (gross consumer spend). Compared to peer-scale Virginia consumer / entertainment categories (state-share-of-US scaling, illustrative):

Virginia gambling industry (annual gross gaming revenue)
$1.7B
Virginia streaming video subscriptions
$941M
Virginia recorded music industry
$447M
Virginia cinema box office (theatrical)
$222M
Virginia podcasting industry (ad+sub revenue)
$60M
Virginia OnlyFans creators
$12M

Research Methodology

How the Data Works: Virginia Cities & Top Cities in Virginia

A complete, plain-language explanation of every column in the Virginia Cities tables - where each number originates, how it is calculated, and what it represents.

4
Virginia cities covered
1.9K
Virginia creators (observed)
$12M
Virginia creator revenue (USD)
1.1%
share of national creator total
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Foundation
How These Tables Relate to the Global Dataset

The Virginia Cities analyses are subsets of the same underlying dataset used for the Country Analysis and Top 100 Global Cities tables. The same raw profiles, the same extrapolation approach, and the same revenue modelling apply. Two important adjustments are made for Virginia-specific analysis.

What Counts as an Active Model

This dataset does not include every account registered on OnlyFans. Only profiles that meet an activity threshold are included: a minimum of 5 posts, images, or videos published, and the account must have been active within the last 6 months. This filters out dormant, abandoned, or placeholder accounts and ensures the data reflects creators who are actively trying to generate revenue. There are significantly more accounts registered on OnlyFans than appear in this analysis, but those that do not pass this activity test are excluded.

US Revenue Pool

Rather than using the global $5.776B revenue pool, Virginia analyses use a Virginia-specific revenue pool derived from the Country Analysis: Virginia accounts for 49.6% of the global platform revenue estimate - $3,063M of the $6,178M global total. All state and city revenue figures are distributed from this Virginia pool.

US Revenue Pool
US Revenue Pool = $6,178M × 0.4958 = $3,063M
// 49.58% = Virginia share of global engagement score (from Country Analysis)
Why This Matters

Using a Virginia-specific pool keeps the state-level revenue figures internally consistent with the Country Analysis. All 50 states' revenues sum to approximately $3,063M - the same figure shown for the United States in the Country Analysis.

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Extrapolation
Scaling Observed Profiles to Estimated Totals

Not every profile contains a usable location field. Observed counts are scaled up using a coverage rate computed at runtime from the actual dataset - not a hardcoded constant. This is the same approach used in the Country Analysis.

Why Extrapolated Numbers Differ from Site Profile Counts

The Total Models figures in these tables are extrapolated estimates designed to represent the full creator population, including those who don't list a location. The profile counts visible on the site are observed counts - the actual number of profiles that list a given location. Both numbers are valid; they answer different questions.

Observed vs. Extrapolated

For example, California shows approximately 31,000 profiles that explicitly list California as their location, but only ~55% of all profiles include a usable location at all. The extrapolated California total in the table is therefore approximately 31,000 ÷ 0.55 ≈ 57,970. The site profile pages show the observed count; the state analysis here shows the extrapolated estimate. Neither is wrong - they answer different questions.

State-Level Counts and Virginia Total

The headline Virginia total (346K extrapolated) is taken directly from the country-level Virginia count in the Country Analysis - not by summing the 50 individual state totals. This is intentional: a meaningful share of profiles resolve to "Virginia" with no specific state attached (e.g. just "Virginia", "America", or a Virginia ZIP without a state), so summing the 50 state counts will always be lower than the true country total.

State-Level Extrapolation
Coverage Rate = rows with location ÷ total rows

State Total Models = Observed State Count ÷ Coverage Rate

// Each state's count uses the rolled-up location hierarchy
// (a creator in Los Angeles is counted in California, Southern California, and LA)
// Virginia Country Total = Observed Virginia Country Count ÷ Coverage Rate (taken directly,
// not summed from states - see note above)
Why Sum(States) < Virginia Total

For the current dataset the 50 state totals sum to approximately 285K, while Virginia country-level total is 346K. The ~61K gap represents profiles attributed to Virginia as a country but without a more specific state-level location. This gap is expected and does not indicate missing data - the country-level number is the authoritative Virginia figure.

City-Level Extrapolation

For the Top Cities in Virginia table, city counts use the same coverage-rate scaling as states. Many profiles resolve to a Virginia state but not a specific city, so as with states, the sum of all listed cities is lower than Virginia country total.

City-Level Extrapolation
Coverage Rate = rows with location ÷ total rows

City Total Models = Observed City Count ÷ Coverage Rate

// Top 100 Virginia cities sum to ~124K of the 346K Virginia country total
// (the gap = profiles with a Virginia state but no specific city, plus cities outside the top 100)
⚠ Key Assumption

Both stages of extrapolation assume that creators who omit detail are distributed in the same proportions as those who provide it. If creators in specific states or cities are systematically more or less likely to list detailed locations, the corresponding estimates will be affected.

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Revenue
Revenue Distribution Across States and Cities

Revenue is distributed using the same engagement-weighted approach as the global analysis - each location receives a share of Virginia revenue pool proportional to its combined subscriber and follower engagement score.

State / City Revenue
Engagement Score = (Est. Subscribers × 0.60) + (Est. Followers × 0.40)

Yearly Revenue ($M) = (State Engagement ÷ Virginia Total Engagement) × $3,063M
Average Annual Earnings Per Model
Avg Annual / Model
Avg Annual/Model ($) = (Yearly Revenue × $1,000,000) ÷ Total Models
⚠ Averages vs. Reality

Like the global figures, these are arithmetic means pulled upward by a small number of top earners. The typical creator in any state or city earns substantially less than the stated average.

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Rankings
State and City Rankings
Ranking (No. Models)

States or cities ranked #1 downward by estimated total creator count. the largest population centres in Virginia typically dominate by raw count due to their large populations.

Ranking (By Density)

Ranked by creators per 100,000 adult residents. States with smaller populations but high engagement often rank higher here than by raw count.

City Population Data

For the Top Cities in Virginia table, city population figures are sourced from Macrotrends and use metropolitan area populations rather than city-centre-only figures. This is because creators tend to list the nearest major city as their location rather than the specific outer-suburban municipality they live in. A creator in Arlington, Texas, for example, will typically list "Dallas Fort Worth" rather than a smaller local area name. Using metro populations ensures that density calculations reflect the realistic catchment area that each city name represents in the data.

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Demographics
Gender Classification Logic

Gender classification uses automated image recognition applied to each model's profile photo, combined with any gender-affirming statement present in the profile. Where both signals are available, stated gender takes precedence as the authoritative source. Image recognition provides coverage where no gender is explicitly stated.

  1. Profiles identified as Trans - either through stated gender or image recognition - are classified first and excluded from subsequent steps.

  2. Remaining profiles identified as Male via stated gender or image recognition are classified as Male.

  3. All remaining profiles are classified as Female based on stated gender or image recognition output.

Format Note

All gender percentages in the Virginia Cities sheets are stored as direct percentage values (e.g. 82.89 = 82.89% female).

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Economic Context - Cities Only
Earnings vs. Minimum Wage

The following three columns appear in the Top Cities in Virginia table only (they are not included in the Virginia Cities sheet).

Min Wage / Yr ($)

The applicable city or state minimum wage for that location in USD, annualised (hourly rate × 2,080 hours). States without their own minimum wage above the federal floor use the federal figure.

% Diff vs Yearly Min Wage
% Difference vs. Annual Minimum Wage
% Diff vs Yearly Min Wage = ((Avg Annual/Model − Annual Min Wage) ÷ Annual Min Wage) × 100

// Positive → avg model earnings ABOVE min wage
// Negative → avg model earnings BELOW min wage
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Virginia Cities
Avg Earnings: Top 1,000 / Top 50 / Top 10 Creators

The last three sortable columns answer the question journalists ask most: what does a typical high-earner in this location actually take home? For each location we estimate annual revenue per active creator, rank descending, and report the average per creator across the top 1,000, top 50, and top 10 brackets.

Per-Model Annual Revenue Estimate
Estimated Yearly Revenue (per model)
est_yr = MAX( price × subscribers × 12,  followers × $0.50 × 12 )

// price = onlyf_meta_price_normal (USD)
// subscribers = onlyf_meta_noof_subscribers
// followers = onlyf_meta_noof_followers (free-tier engagement fallback)
Bracket Averages
Average Earnings per Creator within a Top-N Bracket
avg_topN = SUM(est_yr of the top N earners) ÷ N

// where N ∈ {1,000, 50, 10}
// for locations with fewer than N located active creators,
// the divisor falls back to the actual count.
Avg Earnings: Top 1,000 Creators ($/yr)

Average annual earnings of the 1,000 highest-earning active located creators in that state or city. This is the most "broad-shouldered" view - it picks up small-town breadwinners as well as superstars and is the closest thing to a typical high-earner number.

Avg Earnings: Top 50 Creators ($/yr)

Average annual earnings of the 50 highest-earning active located creators. The mid-bracket lens - established performers but not just the household names.

Avg Earnings: Top 10 Creators ($/yr)

Average annual earnings of the 10 highest-earning active located creators. Use this column when you want a sense of what the elite at the top of the local creator economy actually pull in.

Comparable Profession (per top-N column)

To make the dollar figures easier to feel, each top-N average is paired with an expert-tier global-ladder profession whose median annual salary sits closest to that figure on a hand-curated 21-tier ladder running from fast-food worker (~$15K) up through registered nurse, dentist, federal judge, MLB rookie, and NFL starter to A-list movie star. The ladder uses public US Bureau of Labor Statistics medians for the trades and licensed professions, and well-reported public-record figures for the high tiers. The match is approximate - it answers "the average top-N creator in this state earns about as much as a [profession]."

Active-Creator Filter

The same publish & recently active & non-empty profile filter used for the per-location creator counts (post_status=publish, last_seen within 180 days, ≥5 posts or media). Free-tier creators with non-zero followers contribute via the engagement fallback; pure ghost profiles drop out.

Caveats

These are upper-bound estimates of subscription-revenue potential, computed from observed price and subscriber numbers. They do not include PPV unlocks, tips, or DM sales (which can rival subscriptions for top earners), and they do not net out OnlyFans' 20% platform fee. They also assume reported subscriber counts are accurate at the moment of crawl. For a single creator the number can be wrong; for an average across the top 10, 50, or 1,000 in a state or city, the noise mostly averages out.

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Top Cities in Virginia Only
City Validation & Scope

Every candidate city is validated against a master city reference database. Non-city entries (territories, regions, sub-continents) are rejected. NYC borough entries are consolidated into a single New York City record. Cities are ranked by estimated total creator count, with the top 100 shown.

Difference vs. Global Cities

The Global Cities table ranks the top 100 cities worldwide. The Virginia Cities table ranks the top 100 within Virginia only. Los Angeles, New York City, and Las Vegas appear near the top of both, but density rankings differ because the global table uses international population benchmarks.

Reference

Complete Column Glossary

Virginia Cities Sheet - 16 Columns
Column in Spreadsheet Type Description
State Raw Virginia state name; all 50 states 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 ($M) Calculated Estimated annual creator revenue for this state in millions USD
Top 1,000 - Avg Earnings ($/yr) Calculated Average estimated annual earnings per creator within the top-1,000-earner bracket for this state, displayed in compact form ($XK / $X.XM)
Top 1,000 - Comparable Profession Reference A expert-tier global-ladder profession whose median annual salary is closest to the Top-1,000 average for this state
Top 50 - Avg Earnings ($/yr) Calculated Same metric, averaged across the top 50 earners
Top 50 - Comparable Profession Reference A expert-tier global-ladder profession 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 global-ladder profession whose median salary is closest to the Top-10 average for this state

Top Cities in Virginia Sheet - 20 Columns
Column in Spreadsheet Type Description
City Raw Virginia city name, validated against master city reference database
Country Raw All entries are "Virginia" in this sheet
Total Models Extrapolated Estimated total creators in this city (two-stage extrapolation)
Rank (Models) Calculated City rank by estimated creator count within Virginia 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 ($M) Calculated Estimated annual creator revenue for this city in millions USD
Avg Annual/Model ($) Calculated Estimated mean annual creator earnings
Min Wage/Yr ($) Reference Annual minimum wage applicable to this city in USD
% Diff vs Yearly Min Wage Calculated Percentage difference between avg model earnings and annual minimum wage
Top 1,000 - Avg Earnings ($/yr) Calculated Average estimated annual earnings per creator within the top-1,000-earner bracket for this city, in compact form ($XK / $X.XM)
Top 1,000 - Comparable Profession Reference A expert-tier global-ladder profession whose median annual salary is closest to the Top-1,000 average for this city
Top 50 - Avg Earnings ($/yr) Calculated Same metric, averaged across the top 50 earners
Top 50 - Comparable Profession Reference A expert-tier global-ladder profession 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 global-ladder profession whose median salary is closest to the Top-10 average for this city

Limitations & Important Caveats

  • Extrapolated vs. observed counts. The Total Models figures in these tables are statistical estimates, not direct counts. They will be higher than the raw profile counts shown elsewhere on the site. The site shows observed profiles with a usable location; the analysis tables extrapolate to account for unlisted creators. Both are valid - they answer different questions.
  • State/city attribution uncertainty. When a profile lists a city, it is assigned to the state containing that city. For ambiguous location strings (e.g. "Springfield"), the most populous matching city is used. Some mis-attribution is inevitable at scale.
  • Revenue allocation is modelled, not measured. OnlyFans does not publish state-level or city-level earnings data. All revenue figures are derived from the engagement-weighted distribution model - a statistically grounded estimate, not a direct measurement.
  • Mean vs. median. Avg Annual/Model is an arithmetic mean. The earnings distribution is highly skewed - the majority of creators earn substantially less than the reported average.
  • Census industry comparisons are approximations. The comparable industry figures are selected to be the closest available match from Census data. Industry revenue figures are for fiscal year 2022 (or 2017 where unavailable) and may not reflect current conditions.
  • City validation gate. Only locations that match a known city in the reference database are included. Cities absent from the reference database are excluded even if they appear in profile data.
Sources

References & Data Sources

Source Used For Link
OnlyFans Publicly visible profile data (location, gender, price, followers, subscribers) onlyfans.com
US Census Bureau Economic Census 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
US Census Bureau 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 Virginia 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)

Looking for actual Virginia creators, not just numbers?

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