The quality of a statistical product can be defined as the fitness for purpose of that product. More specifically, it is the fitness for purpose with regards to the following 5 quality dimensions: relevance, accuracy and reliability, timeliness and punctuality, accessibility and clarity, and coherence and comparability.

Quality is one of the three pillars of the Code of Practice for Statistics which is supported by three principles: suitable data sources, sounds methods and assured quality.

The links in this page describe the work we are undertaking to monitor and assure the quality of published statistics and to develop improvements to existing data.