Quality requirements

Quality can be assessed at different levels – for example, there are institutional level quality requirements, process quality requirements, product quality requirements and other. On the other hand, the quality of a statistical product can be defined as suitability of this product for a specific use. Generally, the quality is assessed with respect to the following 5 quality dimensions: relevance, accuracy and reliability, timeliness and punctuality, availability and transparency, as well as coherence and comparability.

CSB, as the governing body of the national statistical system, has determined common general (institutional level) quality requirements for statistical institutions of Latvia, applying European Statistics Code of Practice. The purpose of determining the requirements is to provide Latvian, European and international policy makers and the society with high-quality official statistics and to ensure that common principles and requirements are applied and respected in the Latvian official statistics system. General quality requirements are explained in the implementation manual.

In this section you will find information describing the general quality requirements which are treated as a quality framework of the institutional level.

If you would like to find quality characteristics of a particular statistical product, please visit Official statistics portal Metadata section.

Quality documentation for statistical institutes

Quality Declaration of European Statistical System shortly summarises quality requirements for European Statistical System.

European Statistics Code of Practice is the cornerstone of the common quality framework of the European Statistical System and a self-regulatory instrument. It is aimed at establishing public trust in European statistics and it defines 16 general principles and corresponding indicators for developing, producing and disseminating statistics. These principles are covering institutional environment, statistical processes and statistical outputs. 

United Nations Fundamental Principles of Official Statistics are a pillar of the Global Statistical System. Ten general principles regulate official statistics and are applicable in national statistical systems and institutes in daily work.

Recommendations of the OECD Council on Good Statistical Practice summarise general requirements for quality in statistics available in various documents, thus helping OECD countries to present their statistics compliant with the OECD requirements. Twelve recommendations generally meet the United Nations core principles for statistics and provisions of the European Statistics Code of Practice.

The National Statistical System of Latvia (hereinafter – NSS of Latvia) is established by statistical institutions and the Statistical Council. The managing institution of the NSS of Latvia is the Central Statistical Bureau of Latvia (hereinafter – the CSB), which implements functional subordination over other statistical institutions in the field of production of official statistics, providing methodological guidelines, by supervising the conformity of production of official statistics with the laws and regulations, and also by issuing orders that are required to produce official statistics.

To ensure that NSS of Latvia has common principles and requirements, CSB has developed the Quality Policy of the National Statistical System of Latvia and imposed total quality requirements for statistical institutions which are based on European Statistics Code of Practice.

For implementation of Quality Policy of the NSS of Latvia, the CSB has developed a Memorandum of Understanding (in Latvian), by which the statistical institutions confirm their commitment to implementing and promoting quality standards in their statistical institutions.

 Guidelines for Implementation of European Statistics Code of Practice were developed to facilitate common perception and understanding of the requirements imposed by the Code of Practice. Based on the situation in Latvia, the Guidelines explain principles of the Code, as well as indicators and statistical terms used, moreover, requirements are supplemented with binding national legislation, explanatory information, and examples of good practice.

The Quality Policy of CSB consists of the CSB's vision, mission, core values and commitment to meet the requirements, follow good practice and ensure continuous improvement. The quality policy is designed and implemented in accordance with the CSB strategy (3-year period) and the action plan.

Statistical dissemination policy defines general principles of statistical data dissemination, availability of CSB`s products and services for data users, communication with data users, cooperation with the media, availability of individual data for scientific and educational purposes.

Revision policy is an important component of good governance practice addressed  more and more often in the international statistical society.The objective of the Revision policy is to lay down the order of review or revision of the prepared and published data.

Revision is review of any published statistical data, regardless of the fact, whether the data are distributed electronically (in publicly available data bases or in press releases of CSB or in printed form (CSB publications)).

The first chapter of the present document explains the terms applied in the Revision policy, the second chapter characterises shortly the CSB revision policy, whereas the third chapter stipulates the revision cycle of the statistical data prepared by the CSB

Compliance of statistical institutions with general quality requirements

Since 2016 the CSB has been evaluating the compliance of statistical institutions of Latvia with general quality requirements.

The results of assessment carried out in 2022 show that, on average, 89 % of the requirements are fully implemented in institutions, 8 % are partially implemented and 3 % are not implemented. The unimplemented requirements are mainly related to the (un)availability of data, metadata and statistics publication calendar on the official statistics portal.

To assess conformity of the European Statistical System (ESS) to European Statistics Code of Practice requirements, from 2021 to 2023 the third round of Peer Review is taking place in the ESS which is made up of the statistical office of the European Union (Eurostat), the statistical institutions of all EU member states and countries of the European Free Trade Association.

In time period from 20 February to 24 February 2023, the Peer Review will take place in Latvia. It will be carried out by a team of independent international experts to determine the compliance of official statistics system of Latvia with the general quality requirements (Code of Practice). As part of the audit, conformity will be assessed not only of the Central Statistical Bureau, but also of individual statistical institutions of Latvia, which are responsible for the production of European statistics (ONAs).

The Peer Review has already taken place twice in Latvia – in 2006 and 2014. As a result of the audits, no non-compliance issues were found, just recommendations for improvements were issued.