Quality measures
Data quality is measured by relevance, accuracy, timeliness, accessibility, comparability and coherence. The Guidelines for Measuring Statistical Quality give further detailed explanation. Indicators of accuracy include sampling variability measures and revisions. The Office for National Statistics (ONS) aims to develop and implement a coherent, comprehensive, effective and systematic approach to quality measurement and reporting. The programme of Quality Reviews is an important way of ensuring that National Statistics and other official statistics are fit for purpose and the quality and value of these outputs continues to improve.
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Revisions policy and analysis
How labour market methodology is revised and analysed
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Sampling variability
Collects information from a sample of people or businesses instead of the whole population
