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.

Principle 4 of the Code of Practice for Official Statistics highlights the need for “Sound methods and assured quality”, which includes a number of practices such as quality assurance, quality reporting and quality improvement as well as the use of common standards and concepts.

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.