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Statistical Justice

The right to be recognized in government systems, and for official data to reflect the true diversity of societies.

A framework developed from work in Colombia and designed to travel across contexts

The problem

Official data systems do not always recognize people as they are. Trans and non-binary people may be recorded under names, gender markers, or categories that fail to reflect their identities and lived realities.

These are not simply technical errors. Official data shape what governments can see, measure, fund, and address. When recognition fails, inequalities become harder to trace, violence and exclusion can disappear from official statistics, and disparities in health, access to care, and health outcomes can remain hidden. Public policies and services are then built on incomplete representations of society.

Statistical Justice addresses a fundamental question: who is recognized in government systems, on what terms, and with what consequences? The framework helps examine how official data can better reflect the diversity of societies while advancing recognition, redistribution, and protection.

Developed by

Liga de Salud Trans
With the support of

Universidad Los Andes

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