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CREATOR DATA & STATISTICS

Creator Gender Distribution

Gender-category distribution across profiles classified in the Famez Creators dataset, interpreted alongside coverage.

Published September 23, 2026 · Updated September 23, 2026 · 1 min read

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DATA VISUALIZATION

Gender-category distribution

Snapshot 2026-09-01
Female17.919 · 84,2%
Male2.924 · 13,7%
Trans338 · 1,6%
Diverse85 · 0,4%
Couple17 · 0,1%

Shares use only profiles classified for this taxonomy. Unclassified profiles are not redistributed.

This page reports gender-category counts for profiles classified in the Famez Creators dataset. The values describe the directory taxonomy and its coverage; they are not demographic estimates for the creator economy as a whole.

First-party network dataset

Gender-category distribution

Snapshot: 2026-09-01

Shares use gender-classified profiles as the denominator. Unclassified creators are not redistributed across categories.

Gender classified21.28343,8% coverage of unique creators.

Gender distribution

GroupProfilesShare
Female17.91984,2%
Male2.92413,7%
Trans3381,6%
Diverse850,4%
Couple170,1%

Evidence boundary: Aggregated data from published creator profiles in the Famez Network directory. It does not represent the entire global creator market.

Coverage is essential

The gender table should be read together with the number and percentage of unique creators for which a gender classification is available. An unclassified record is not evidence for any category and should not be redistributed proportionally without a separate methodology.

Category labels

Buzz Crafter displays the source taxonomy in English. Translation changes the visible label, not the source count. Categories such as Female, Male, Trans, Diverse and Couple reflect the source directory fields and should be understood as directory classifications.

How this data can be useful

For network operators, the distribution can help identify areas where directory coverage is deep or shallow. For creators and agencies, it can provide context for niche-discovery projects. It should not be used to make claims about the quality, earnings or market size of a category.

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METHODOLOGY

Interpret the number in context.

Buzz Crafter separates measured campaign fields, calculated ratios and modeled scenarios. Campaign examples are specific datasets and should not be treated as universal platform benchmarks.

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