Commission Implementing Regulation (EU) 2025/1542 of 30 July 2025 specifying the modalities, structure and assessment indicators for the quality reports to be transmitted pursuant to Regulation (EC) No 138/2004 of the European Parliament and of the Council
Data as of 2026-07-04 · Compiled from an official source version. Later amendments or repeals may not be reflected; the official text prevails. · Read the official text ↗
Modalities
1. Each Member State shall transmit a quality report to the Commission (Eurostat) for the first time relating to the reference year 2023 and thereafter for each reference year ending in 8 and 3. 2. The quality reports shall be sent to the Commission (Eurostat) using the European Statistical System transmission standard.
Structure
1. Each Member State shall submit a single quality report covering all the data of the Economic Accounts for Agriculture transmission programme as set out in Annex II to Regulation (EC) No 138/2004. 2. The detailed structure and contents of the quality reports are set out in Annex I. Those reports shall also refer to and give reasons for any instances in which the appropriate quality standards have not been complied with or in which statistical concepts have not been correctly applied, or both.
Assessment indicators
The quality of the data and metadata transmitted shall be assessed in relation to the set of quality and performance indicators set out in Annex II.
Entry into force
This Regulation shall enter into force on the twentieth day following that of its publication in the Official Journal of the European Union .
STRUCTURE AND CONTENTS OF THE QUALITY REPORTS
ANNEX I STRUCTURE AND CONTENTS OF THE QUALITY REPORTS The quality reports shall contain quality-related data and metadata in line with the following quality criteria and statistical concepts. If a particular statistical concept is not relevant to a statistical operation, the concept should remain in the quality report accompanied by the words ‘Not applicable’ and a short explanation. Statistical presentation Description of the disseminated data. This concept includes the following sub-concepts: — Data description — Classification system — Sector coverage — Statistical concepts and definitions — Statistical unit — Statistical population — Reference area — Time coverage — Base period Unit of measure The unit in which the data values are measured. Reference period The period of time or point in time to which the measured observation is intended to refer. Institutional mandate Law, set of rules or other formal set of instructions assigning responsibility as well as the authority to an organisation for the collection, processing and dissemination of statistics. This concept includes the following sub-concepts: — Legal acts and other agreements — Data sharing Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties. This concept includes the following sub-concepts: — Confidentiality – policy — Confidentiality – data treatment Release policy Rules for disseminating statistical data to all interested parties. This concept includes the following sub-concepts: — Release calendar — Release calendar access — User access Frequency of dissemination The time interval at which the statistics are disseminated over a given time period. Accessibility and clarity The conditions and modalities by which users can access, use and interpret data. This concept includes the following sub-concepts: — News release — Publications — Online database — Other — Documentation on methodology — Metadata completeness – rate — Quality documentation Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes. This concept includes the following sub-concepts: — Quality assurance — Quality assessment Relevance The degree to which statistical information meets current and potential needs of users. This concept includes the following sub-concepts: — User needs — User satisfaction — Completeness — Data completeness – rate for producers Accuracy and reliability Accuracy of data is the closeness of computations or estimates to the exact or true values that the statistics were intended to measure. Reliability of the data is the closeness of the initial estimated value to the subsequent estimated value. Timeliness and punctuality Timeliness is the length of time between the event or phenomenon the data describe and the availability of the data. Punctuality is the time lag between the target date when data should have been delivered and the actual delivery of the data. This concept includes the following sub-concepts: — Timeliness — Time lag – first results for producers — Punctuality – delivery and publication for users — Punctuality – delivery and publication for producers Coherence and comparability The adequacy of statistics to be reliably combined in different ways and for various uses and the extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics. This concept includes the following sub-concepts: — Comparability – geographical — Comparability – over time and length of comparable time series for users — Length of comparable time series for producers — Coherence – cross-domain — Coherence – sub-annual and annual statistics — Coherence – National Accounts — Coherence – internal Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents. Data revision Any change in a value of a statistic released to the public. This concept includes the following sub-concepts: — Data revision – policy — Data revision – practice — Data revision – average absolute size Statistical processing This concept includes the following sub-concepts: — Source data — Frequency of data collection — Data collection — Data validation — Data compilation — Adjustment
QUALITY AND PERFORMANCE INDICATORS TO ASSESS THE QUALITY OF THE ECONOMIC ACCOUNTS FOR AGRICULTURE DATA AND METADATA
ANNEX II QUALITY AND PERFORMANCE INDICATORS TO ASSESS THE QUALITY OF THE ECONOMIC ACCOUNTS FOR AGRICULTURE DATA AND METADATA The following sub-concepts from Annex I shall be used as assessment indicators. Metadata completeness – rate The ratio of the number of metadata elements provided to the total number of metadata elements applicable. Data completeness – rate for producers The ratio of the number of data cells provided to the number of data cells required by Eurostat. Time lag – first results for producers The number of days from the last day of the reference period to the day of publication of first results, at producer report level of detail. Punctuality – delivery and publication for producers The number of days between the delivery date of data and the target date for delivery as laid down by Regulation (EC) No 138/2004. Length of comparable time series for producers The number of reference periods in time series from last break. Data revision – average absolute size The average over a time period of the absolute revisions of a key indicator.
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