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Quality criteria for official statistics

Quality criteria for official statistics. Relevance: the degree to which statistics meet current and potential needs of the users Accuracy: the closeness of estimates to the unknown true values

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Quality criteria for official statistics

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  1. Quality criteria for official statistics • Relevance: the degree to which statistics meet current and potential needs of the users • Accuracy: the closeness of estimates to the unknown true values • Timeliness: the period between the availability of the information and the event or phenomenon it describes • Punctuality: the delay between the date of the release of the data and the target date (the date by which the data should have been delivered • Accessibility and clarity: the conditions and modalities by which users can obtain, use and interpret data • Comparability: the measurement of the impact of differences in applied statistical concepts, measurement tools and procedures where statistics are compared between geographical areas, sectoral domains or over time • Coherence: the adequacy of the data to be reliably combined in different ways and for various uses

  2. Headline indicators

  3. Evaluation of the changes for indicators without quantitative target(case of desired direction: growth)

  4. Evaluation of the changes for indicators with quantitative target

  5. Evaluation of decouplingExample of Resource productivity - Changes since 2000 No decoupling would have occurred if DMC would have increased as much or more than the GDP Relative decoupling took place because DMC increased less than GDP Absolute decoupling would have occurred if DMC would have been stable or would have decreased

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