The OnlyFans Creator Map

Methodology

Where the counts come from. OnlyLocate indexes OnlyFans creators who share a city, state, or country on the public-facing sections of their profile. Location on OnlyLocate is self-declared, never inferred from IP addresses, photo (EXIF) metadata, or tracking of any kind. As of August 2026, the index holds 282,598creators with a resolvable location. “Creators on OnlyLocate” figures on this page are counts of those creators attributed to each region on the map. Creators who share only a country (for example just “USA”) count toward that country but not toward any state or city.

How estimates are made.The anchor is OnlyLocate’s own census of 381,125 recently active creators as of 2026: profiles active in the last 30 days, or whose creator keeps activity status private (OnlyLocate index: creators active in the last 30 days or with hidden activity status (last_active_at null), snapshot at build time). We deliberately do not scale to OnlyFans’ all-time ~4.6 million registered accounts, most of which are dormant, so every figure here describes creators currently operating. Each region’s estimated total assumes creators without a public location are distributed like those with one: est(region) = 381,125× indexed(region) ÷ indexed(world). US state and city estimates are scaled within the US figure so the three sections stay internally consistent. Estimates are rounded to two significant figures and shown with “~”.

Per-capita rates divide the estimate by regional population (UN World Population Prospects (2023 estimates); states: US Census Bureau annual state estimates (2023); cities: US Census Bureau city estimates (2023, city proper)) per 100,000 residents.

Known biases.The index skews toward creators who choose to share a location publicly and toward English-language markets, so non-English-speaking regions are likely undercounted. Estimates are illustrative, not censuses. Regions with fewer than 10 indexed creators (25 for cities) are suppressed, both to avoid absurd extrapolations from tiny samples and so no small community’s creators can be singled out. Nothing on this page names or links to any individual creator.

Kink maps: population. Recently active creators (active in the last 30 days or activity status hidden) with a resolvable location and LLM tag annotations. That is 275,520 creators worldwide and 110,401 in the US. Kink tags are assigned by a language model reading the public bio and content descriptions. The 20kinks shown were chosen for popularity and interest; spelling variants of the same tag (for example “Feet” and “Foot Fetish”, or “Milf” and “MILF / Mom”) are folded together, and a creator counts once per kink.

Kink maps: concentration index.For each place and kink we take the share of annotated creators there who carry the tag and divide by the same share across the baseline (the US for the state and city map, the world for the country map). 1× is average; 2× means twice as common. Two corrections are applied. First, shares are smoothed with a light Bayesian prior (equivalent to 100 creators at the baseline rate) so places with small samples are pulled toward average rather than dominating the map on a handful of profiles. Second, the tagger extracts noticeably fewer tags from non-English bios (creators in Spanish-speaking countries carry roughly half as many featured tags as US creators), so each place’s index is also divided by its overall tag density relative to the baseline. Without that, Latin America would read as “below average” for every kink at once; with it, the map answers “given the tags creators here receive, is thiskink over-represented?” Places with fewer than 100 annotated creators (50 for cities) or fewer than 5tagged creators are shown as “not enough data”.

Kink maps: reading them. The maps show hot spots only: places at or below average stay grey, and places above average climb one fixed blue scale, deepest blue for 2× the baseline or more, so a colour means the same thing whichever kink is selected. Cities appear as bubbles only when they are hot spots (bubble area grows with how far the index sits above average, from a small dot just over 1.1× to the largest at about 3×), and cities at or below average (or without enough data) are not drawn. Because the index is a ratio of shares, a place cannot score high just by having many creators; the ranked list under each map is by concentration, not by count. Tags reflect what creators write publicly, so kinks that are marketed openly are over-counted relative to those that are not.

Updates.The dataset regenerates from the live index at least monthly; this page shows the build date above. Data is free to reuse under CC BY 4.0: credit “OnlyLocate” and link to onlylocate.co.