Contemporary data protection law classifies religious belief as a special category of personal data under Article 9 of the GDPR, yet the ontology of "religious data" remains largely undefined. This paper examines whether religious data can be understood as data in the same sense as other personal data, and how this conceptual uncertainty contributes to emerging forms of inequality in digital societies. The analysis builds on the distinction between data and information. While data is typically structured and empirically observable, information is meaning-based and context-dependent. Religious belief occupies a liminal space between these categories: it is not merely descriptive, but expresses identity, interpretation, and a relation to transcendence. Treating faith as data therefore entails a reduction that has both epistemological and normative consequences. The paper proposes a multi-dimensional account of religious data and distinguishes between explicit, contextual, and inferential forms. In digital environments, religious identity is increasingly not directly disclosed but inferred from behavioural patterns and contextual signals. This process renders religious belief progressively visible, classifiable, and governable. This development is particularly significant within systems of digital government and data governance, where decision-making increasingly relies on data-driven classifications. The indirect emergence of religious attributes within such systems raises concerns about visibility, categorisation, and control, potentially generating new forms of inequality. The paper argues that recognising the ontological specificity of religious data is essential not only for conceptual clarity but also for defining the normative limits of data governance. It highlights the need to ensure that digital governance frameworks do not extend beyond the boundaries imposed by the protection of freedom of religion.