This paper introduces the so-called Statistics Coded as a way to disseminate outputs that document and share statistical processes beyond just data, but also including code, algorithms, protocols and workflows. They enable users interactively dialoguing with data, explore, reuse and contribute to statistical products. They help them as well sharing best practices, learning from each other, and adopt common methodologies, fostering Statistical Literacy in the public. Inspired by the Open Source Software, Citizen Science and Open Science communities, Statistics Coded present substantial promises for Citizen Statistics and the interaction between National Statistical Institutes, data users and data producers.