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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | FPS Economy - DG Energy - "Energy Monitoring & Electricity System" service |
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1.2. Contact organisation unit | "Energy Monitoring" cell |
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1.5. Contact mail address |
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2.1. Metadata last certified | 27/09/2022 | ||
2.2. Metadata last posted | 27/09/2022 | ||
2.3. Metadata last update | 14/07/2022 |
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3.1. Data description | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Energy statistics provide annual, quarterly and monthly data about energy supply and consumption in Belgium. They mainly consider the wide range of variables needed to build the energy balances:
With various levels of detail depending on the statistics, they distinguish between different:
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3.1.1. Data description – details and links to EU data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.2. Classification system | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 3.2.1. |
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3.2.1. Classification system – industry sector, products and geographical | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.3. Coverage - sector | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Energy statistics cover all sectors of the economy that are involved in the production, transformation, trade or consumption of energy (energy sector, industry sector, transport sector, commercial and public services, households, agriculture and forestry, fishing). |
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3.4. Statistical concepts and definitions | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Definitions of Regulation (EC) No 1099/2008 on energy statistics apply. |
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3.5. Statistical unit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 3.5.1. |
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3.5.1. Statistical unit – Data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.6. Statistical population | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
All enterprises and households that are involved in the production, transformation, trade or consumption of energy in Belgium |
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3.7. Reference area | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Belgium |
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3.8. Coverage - Time | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 3.8.1. |
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3.8.1. Coverage time – Data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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3.9. Base period | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable |
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See 4.1. |
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4.1. Unit of measure – data collections | ||||||||||||||||||||||||||||||||
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See 5.1. |
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5.1. Reference period – data collections | ||||||||||||||||||||||||||||||||
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6.1. Institutional Mandate - legal acts and other agreements | ||||||||||||||||||||||||||||||||||||||||||||||||
See 6.1.1. |
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6.1.1. National legal acts and other agreements | ||||||||||||||||||||||||||||||||||||||||||||||||
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6.2. Institutional Mandate - data sharing | ||||||||||||||||||||||||||||||||||||||||||||||||
See 6.2.1. |
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6.2.1. Institutional mandate – data sharing – national data collections | ||||||||||||||||||||||||||||||||||||||||||||||||
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Annexes: Confidentiality in EU data collections - Belgium |
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7.1. Confidentiality - policy | ||||||||||||||||||||||||||||||||
Confidentiality is guaranteed in law, in Regulation (EC) No 223/2009 on European statistics (recitals 23-27, 31-32 and Articles 20-26) and in Law of 29 April 1999 on the organisation of the electricity market (Article 29octies, § 2, where penalties are prescribed for any wilful breaches of confidentiality). Staff members with a university degree are granted a security clearance by the Belgian government, in accordance with the Law of 11 December 1998 relative to the classification and the security clearances, at the level “national secret / EU secret”. Guidelines and instructions are provided to staff on the protection of confidentiality throughout the statistical processes. The confidentiality policy is made known to the public. Some of the questionnaires made available to the respondents include the text (translated from FR / NL): “Registrants are assured that the information submitted will be treated as confidential and will be used for statistical purposes only”. The necessary regulatory, administrative, technical and organisational measures are in place to protect the security and integrity of data and their transmission, in accordance with best practices, international standards, as well as European and national legislation. The computer network of the FPS Economy is equipped with the best available protection systems (antivirus, firewall, VPN…). Only the persons dealing with a set of data are allowed to access the location where this set of data is stored. Data files stored in a more widely-accessible location or shared by email between authorised persons are protected with a password. |
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7.2. Confidentiality - data treatment | ||||||||||||||||||||||||||||||||
Aggregate outputs A cell is considered as confidential, if fewer than three entities contribute to the total of that cell or if one dominant entity contributes to the total of that cell, and if the entities concerned did not confirm that their data are not confidential. Checks are made to prevent confidential data from being derived from other data in the same statistic or in other statistics. The most common approach to avoid disclosure of confidential data is to aggregate the confidential cell with the nearest suitable non-confidential cell. Micro-level outputs External users are not allowed to access microdata for research purposes since it is not possible to anonymise the data (the number of market players is insufficient). |
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7.2.1. Confidentiality – EU data collections | ||||||||||||||||||||||||||||||||
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8.1. Release calendar | |||
There is no release calendar. |
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8.2. Release calendar access | |||
Not applicable |
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8.3. Release policy - user access | |||
The vast majority of data compiled within DG Energy are those required by Regulation (EC) No 223/2009 on European statistics or by a gentlemen’s agreement signed with the IEA. Consolidated data are first sent to Eurostat and / or the IEA and then sent to anyone who requests it, without preference or distinction. Aggregated data are published on the national websites (https://economie.fgov.be/fr/themes/energie/lenergie-en-chiffres and https://statbel.fgov.be/fr/themes/energie) and in brochures as soon as possible after their sending to the international bodies. No press conference is held when data are released, but announcements are made on the FPS Economy website and in the FPS Economy newsletter. |
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See 9.1. |
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9.1. Frequency of dissemination – national data collections | ||||||||||||||||||||||||||||||||
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10.1. Dissemination format - News release | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
No press conference is held when data are released, but announcements are made on the FPS Economy website and in the FPS Economy newsletter. Twice a year such announcements are made for the Energy key data brochure (February / March and July / August). The annoucements made on the FPS Economy website are found on https://economie.fgov.be/en/publications?f%5B0%5D=theme%3A13. |
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10.2. Dissemination format - Publications | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data are published either in digital brochures (key data) or on FPS Economy website pages (detailed analyses). In the most detailed analyses (i.e. the analyses of the monthly consumption of the main petroleum products and of the monthly electricity production), dynamic graphics are used. These allow the user to download the data by simply pushing one button. Custom-designed analyses are provided if possible. One of this type of analyses, titled "Overview of the oil market 2020", was very relevant information during the coronacrisis. Detailed information on the publications are given in the table below.
*Total for all the available languages (FR, NL; "Energy key data": + EN). **"Energy key data – February 2022": monthly average 02/22-05/22. |
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10.3. Dissemination format - online database | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In addition to the digital brochures and the FPS Economy website pages as mentioned in point 10.2., data are available in an online database managed by Statbel, the Belgian national statistics institute. This database is accessible without registration and via a user friendly environment allowing manipulation and filtering of data. Two sets of data are offered, on two separate pages, one dealing with electricity production and the other with energy statistics by economic sector and by energy source. Both are presented in the table below.
*Total for the four available languages (DE, EN, FR, NL). |
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10.3.1. Data tables - consultations | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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10.4. Dissemination format - microdata access | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
External users are not allowed to access microdata for research purposes since it is not possible to anonymise the data (the number of market players is insufficient). |
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10.5. Dissemination format - other | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data are regularly sent by email to a mailing list. Registration on the list is made on request. |
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10.5.1. Metadata - consultations | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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10.6. Documentation on methodology | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Metadata on statistical products, surveys and administrative sources are continuously developped and are published with the data as far as possible. Methodological notes as well as guidelines for completing questionnaires are also published when necessary. Published metadata, methodological notes and guidelines for completing questionnaires are listed in the table below.
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10.6.1. Metadata completeness - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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10.7. Quality management - documentation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Report on Belgium in the framework of the European Statistical System peer review round 2021-2023 (see 11.1.), available on Eurostat website (https://ec.europa.eu/eurostat/web/quality/peer-reviews/current-round) |
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11.1. Quality assurance | ||||||||||||||||||||||||||||||||||||||||||||||||
No quality management system as such has been implemented yet. Nevertheless, statistical activities follow European and other international standards, guidelines, and good practices (especially the provisions of the "European Statistics Code of Practice", of the "Quality Assurance Framework of the European Statistical System" and of the "European Statistical System handbook for quality and metadata reports"). Procedures are in place to ensure that standard concepts, definitions, classifications and other types of standards are consistently applied throughout the "Energy Monitoring" cell. Data analysts design data treatments on the basis of the standards, describe them in internal documents and submit them to an internal validation committee. This committee also verifies the implementation of the treatments and their results (see 18.4.). The cell implements a policy of continuous vocational training for its staff. When entering into service, new staff members are invited to watch IEA webinars and / or to attend IEA or European Statistical Training Programme (ESTP) in-person training on energy statistics. All staff members regularly follow internal and external courses, notably those of the ESTP and of the training institute of the Belgian Federal Public Service (FPS) Policy and Support. They also follow relevant webinars and attend various conferences or seminars produced / organised by international institutions, energy sector operators… In order to harmonise regional and federal data, a working group called "CONCERE-ENOVER Energy balances" was set up (see 15.1.). Data quality is continuously assessed by the data analysts and by the internal validation committee. The quality of administrative and other data sources is regularly verified and actions are taken if it is unsatisfactory (e.g. changing the source). Moreover, in the framework of the European Statistical System peer review round 2021-2023, an exercise involving the "Energy Monitoring" cell took place at the end of 2021 and the beginning of 2022. This exercise comprised four stages: the filling of a self-assessment questionnaire, the participation in an interview with European peer reviewers, the approval of a report with recommendations compiled by the peer reviewers and the drafting of improvement actions. The report and the improvement actions can be found on the Eurostat website (https://ec.europa.eu/eurostat/web/quality/peer-reviews/current-round). The cell plans to:
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11.2. Quality management - assessment | ||||||||||||||||||||||||||||||||||||||||||||||||
See 11.2.1. |
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11.2.1. Quality assessment – data collections | ||||||||||||||||||||||||||||||||||||||||||||||||
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12.1. Relevance - User Needs | ||||||||||||||||||||||||||||||||||||||||||||||||
The main users are Eurostat, the DG Energy of the European Commission, and the IEA. Other important users are Statbel and the recipients on the mailing list (see 10.5.). The Energy Monitoring cell also answers questions coming from a variety of users, like universities, medias, economic operators... |
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12.2. Relevance - User Satisfaction | ||||||||||||||||||||||||||||||||||||||||||||||||
The need for new data concerning energy related matters is discussed in working groups in Eurostat (Energy statistics working group - ESWG) and / or in the IEA (Energy statistics development group - ESDG). Satisfaction about the data supplied to Eurostat is regularly assessed by Eurostat and discussed in ESWG. Satisfaction about the data supplied to the IEA is monitored by the IEA through "report cards" consisting of an evaluation of timeliness, completeness, data quality and consistency on a semi-annual or annual basis, depending on the statistics. In both cases, satisfaction is generally very good or good according to the criterion and is continuously improving. Needs and satisfaction of other users have not been investigated yet due to lack of human resources. |
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12.3. Completeness | ||||||||||||||||||||||||||||||||||||||||||||||||
See 12.3.1.1. |
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12.3.1. Data completeness - rate | ||||||||||||||||||||||||||||||||||||||||||||||||
See 12.3.1.1. |
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12.3.1.1. Data completeness - rate – EU data collections | ||||||||||||||||||||||||||||||||||||||||||||||||
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Annexes: Accuracy indicators - Energy quantities - 2020 - Belgium |
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13.1. Accuracy - overall | ||||||||||||||||||||||||||||||||
Measurement errors, classification errors and non-response errors are the most common errors encountered in national data collections. In order to remedy these errors, questions are asked to respondents or to holders of administrative data. Any non-negligible error is corrected (revised data are sent to Eurostat / the IEA with an explanation of the causes of the revision). |
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13.1.1. Accuracy – most common errors for specific data collections | ||||||||||||||||||||||||||||||||
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13.2. Sampling error | ||||||||||||||||||||||||||||||||
The only national data collection where sampling error was relevant in 2020 is the "Bi-annual households data collection", which is based on the "Household Budget Survey" (see 3.1.1. and 18.1.1.). Sampling error usually occurs in the "Annual fuel data collection for transport" (see 3.1.1. and 18.1.1), but not in 2020, where the survey was exhaustive. For the most important energy variable of the "Household Budget Survey", i.e. "Energy source for water heating - Natural gas", the 2020 sampling error is calculated as follows:
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13.2.1. Sampling error - indicators | ||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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13.3. Non-sampling error | ||||||||||||||||||||||||||||||||
See sub-concepts |
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13.3.1. Coverage error | ||||||||||||||||||||||||||||||||
Coverage problems may occur. Potential problems are monitored on a regular basis. The lists of enterprises used for surveys are constantly updated based on (non-)responses, on the feedback from respondents and on information gathered using various sources (media...). A search is carried out each time a variable is suspected of being undervalued. |
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13.3.1.1. Over-coverage - rate | ||||||||||||||||||||||||||||||||
See annex |
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13.3.1.2. Common units - proportion | ||||||||||||||||||||||||||||||||
See annex |
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13.3.2. Measurement error | ||||||||||||||||||||||||||||||||
See annex |
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13.3.3. Non response error | ||||||||||||||||||||||||||||||||
A policy of proactive measures, based on mail and phone reminders, is in place to improve response rates. In some cases, besides mail and phone reminders, detailed information on the survey (information on the statistics to which the survey pertains, the objective and context of the survey, the rationale for the questions, possible sanctions, information on results…) is given to the respondents. For example, in January 2020, respondents to a survey on coal products were invited to a meeting where they were informed of the modifications made to the survey following a change in the law. |
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13.3.3.1. Unit non-response - rate | ||||||||||||||||||||||||||||||||
See annex |
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13.3.3.2. Item non-response - rate | ||||||||||||||||||||||||||||||||
See annex |
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13.3.4. Processing error | ||||||||||||||||||||||||||||||||
Most of the processing is done by hand. Since human errors are highly probable, checks are made at each stage of processing. The automated parts of the processing have been working for years without causing faulty output. |
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13.3.5. Model assumption error | ||||||||||||||||||||||||||||||||
The data provided in the "Households - Detailed annual statistics on final energy consumption" EU data collection are obtained on the basis of a model partly fed with data from the "Household Budget Survey" (see 3.1.1. and 18.5.2.). Due to the nature of the latter (survey), errors and incoherencies can occur, and these in turn may have an impact on the results of the model. A preliminary manual validation of the data is done before entry into the model, to ensure the internal coherency of responses. In addition, variable variance can also have an impact on the results of the model, particularly when it comes to small energy vectors. In order to ensure coherent evolutions over time, some post-modelisation treatment of the results is carried out. Data concerning the imports of gas from direct connections, off-grid consumption (including LNG for transport), LNG bunkering, and own use and losses are only available on a yearly basis. However these data are estimated on a monthly basis, based on the annual data of previous years (Annual gas administrative data collection; see 3.1.1. and 11.2.1.). While overall the quality of the estimated data is satisfactory, the results of the modelisation for sectors with limited historical data and rapidly-evolving trends, such as LNG for transport, leave some room for improvement. Therefore, once yearly data is available, this is compared to the estimated data, and the modelisation is revised where necessary. |
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14.1. Timeliness | ||||||||||||||||||||||||||||||||
Timeliness varies according to the national data collection depending on the way data are collected and processed. Some data are available almost instantly and can be released a few days after the event (e.g. "Monthly gas data collection": data are retrieved from an electronic data plateform and processed by the federal authorities; they are considered "final" 20 days after the event), while other data are available and can only be released several months after the event (e.g. "Energy data collection at regional institutions": data are collected, sometimes via surveys, and processed by regional authorities, before being processed by the federal authorities; they should be sent to the federal authorities 9 months after the event, as mentioned in 14.1.3., but they are usually sent to them 10 months after the event). Efforts to reduce the time lag without increasing the burden on respondents could focus on:
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14.1.1. Time lag - first result | ||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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14.1.2. Time lag - final result | ||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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14.1.3. Timeliness – deadlines for data transmission for each national data collection | ||||||||||||||||||||||||||||||||
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14.2. Punctuality | ||||||||||||||||||||||||||||||||
As there is no obligation to publish data at the national level, no release schedule has been established. Nevertheless it is planned to establish one in the near future. |
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14.2.1. Punctuality - delivery and publication | ||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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15.1. Comparability - geographical | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Problems of comparability between the energy data of the Belgian federated entities, i.e. the three regions and the federal state, arose in the eighties, after the regionalization of 1980, where some competencies in the field of energy were transferred from the federal state to the regions. These problems, which were a source of concern for the Belgian authorities as well as for the international instances (Eurostat, IEA, UNFCC), come mainly from differences between the classifications and definitions used by the four entities. Unlike the federal state, the regions do not necessarily use European classifications and definitions. In order to solve these problems, a cooperation working group gathering representatives of the four entities was set up in 2003: CONCERE-ENOVER Energy balances. The work of CONCERE-ENOVER Energy balances led to the harmonisation of a large part of the data. Data on natural gas, electricity & heat, and renewable energy sources are now 90% comparable. Particular efforts are currently made to reconcile regional and federal data on oil and coal. As far as classifications are concerned, correspondence tables were set up et are kept up-to-date between regional classifications and European classifications. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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15.2. Comparability - over time | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data from annual collections are comparable from at least 2015 on. The majority of these data are comparable till 2010. A revision process is being carried out in order to make data comparable from 2000 or 2005 (this comparability is needed for some policy evaluation such as those aiming at reducing greenhouse gas emissions and improving energy efficiency). Changes in the time series of EU data collections are detailed in the table below.
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15.2.1. Length of comparable time series | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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15.3. Coherence - cross domain | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Energy data are coherent with those obtained through other data sources or statistical domains. No issue of importance is to be mentioned. |
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15.3.1. Coherence - sub annual and annual statistics | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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15.3.2. Coherence - National Accounts | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Two sets of data must be taken into consideration with regards to coherence between energy data and data of national accounts:
National accounts National accounts and energy data sometimes distinguish different activity aggregates. Activity aggregates in national accounts are in line with NACE Rev. 2 aggregates (NACE A*64), while activity aggregates in energy statistics differ from NACE Rev. 2 aggregates, but are defined using NACE Rev. 2 classes since NACE Rev. 2 entry into force (e.g. the energy sector includes NACE Rev. 2 Divisions 05, 06, 19 and 35, NACE Rev. 2 Group 09.1 and NACE Rev. 2 classes 07.21 and 08.92; mining and quarrying includes NACE Rev. 2 Divisions 07 (excluding 07.21) and 08 (excluding 08.92) and NACE Rev. 2 Group 09.9). Problems arise when linking data from both sources in order to calculate indicators, e.g. the energy intensity of a sector: energy consumption (coming from energy statistics) / gross value added (coming from national accounts) of the sector. These problems may be solved by rearranging the data if detailed data are available. PEFA In addition to the difference in activity aggregates reported for national accounts, PEFA and energy data also show a difference relating to the residence principle. PEFA follow the residence principle (energy used by resident units on the territory of the economy concerned or abroad) whereas energy statistics follow more or less a territory principle (energy products sold / supplied in the territory of the reporting country to resident units and non-resident units). Consequently, PEFA compilation on the basis of energy statistics requires adjustments. Details about these adjustments can be found in Physical Energy Flow Accounts (PEFA), Manual 2014, draft version 15 May 2014 (https://ec.europa.eu/eurostat/documents/1798247/6191537/PEFA-Manual-2014-v20140515.pdf) and in Defining PEFA bridging items vis-a-vis to energy statistics, Final, 17 July 2019 (https://ec.europa.eu/eurostat/documents/1798247/6191537/Defining+PEFA+bridging+items+vis-a-vis+to+energy+statistics). Another difference between PEFA and energy data, specific to Belgium, is linked to the problems of comparability between federal and regional data described in 15.1. This difference stems from the way each of the two data sets is compiled. Both are based on the regional energy balances, but to compile the PEFA, all regional energy balances are used, whether they are "harmonised" (natural gas, electricity & heat, and renewable energy sources) or not (oil and coal), while to compile energy data, only the "harmonised" regional energy balances are used, data relating to oil and coal being collected from other sources. |
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15.4. Coherence - internal | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Coherence checks in each questionnaire are done internally and by Eurostat and the IEA. Coherence between data received from different sources is always verified. For instance, the internal coherence of the "Monthly electricity data collection" is checked at producer level (production seems plausible in relation to installed capacities) and at country level (the evolution of the calculated monthly consumption is in line with the evolution of the injections into the transmission network). The data on consumption of petroleum products on road sent by oil companies via the "Monthly oil questionnaire" and validated with excises data are compared with the data from the "Annual fuel data collection for transport". |
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Cost As part of an analysis of the costs of European statistics (by product) in the ESS carried out by Eurostat in 2021, an assessment was made of the 2020 costs of:
In recent years, data collection efficiency has mainly been improved by developping online questionnaires for surveys. Burden In the majority of the surveys, the population is too small (less than 100 companies) to allow for sampling. However, sampling is done where possible and small companies with a limited weight in the sector / vector may benefit from a lighter response burden or even be excluded from the scope. For instance, the Royal Decree of 15 November 2017 on petroleum products declaration, providing for the "Monthly oil questionnaire", applies differently depending on whether the company sells annually more or less than 25000 tonnes. In the "Monthly coal questionnaire", small companies are asked to provide data only on an annual basis. Administrative data are continuously searched for in order to minimise response burden. The following cases illustrate this policy:
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17.1. Data revision - policy | |||
A revision policy was set up in accordance with European and international recommendations and best practices. It is published on the FPS Economy website (FR). |
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17.2. Data revision - practice | |||
Regarding:
As already mentioned in 13.1., any non-negligible error is corrected and revised data are sent to Eurostat / the IEA with an explanation of the causes of the revision. Major revisions (due to a change of methodology or the use of a new source of data) are notified in advance to Eurostat through revision pre-announcement forms. |
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17.2.1. Data revision - average size | |||
Not requested for this metadata collection |
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18.1. Source data | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 18.1.1. |
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18.1.1. Source data – data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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18.2. Frequency of data collection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 18.2.1. |
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18.2.1. Frequency of data collection – national data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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18.3. Data collection | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Survey data sources Method(s) used to gather data from respondents are similar for all surveys. Data are collected through questionnaires. Questionnaires are systematically tested prior to the data collection, with the help of professional organisations of the sectors concerned. Questionnaires are developed in MS-Excel and in XBRL (eXtensible Business Reporting Language). MS-Excel questionnaires are sent to the respondents by mail (either postal mail or e-mail) and XBRL questionnaires are made available to them online prior to a notice by e-mail. Respondents who haven’t yet filled in the questionnaire at different times near (before and after) the deadline receive mail and phone reminders. Data are entered by the respondents. When they are entered in a MS-Excel questionnaire, they are either automatically transferred to a database or copied in a database by a data analyst or a technical assistant. When they are entered in a XBRL questionnaire, they are automatically stored into a database. Links to the questionnaires are provided in the table below. Administrative data sources Acquisition processes and testing methods are described in the table below. To ensure data quality questions on their methodologies are asked to holders of administrative data. All sources At the time of data entry, different checks are carried out:
Questions are asked to the respondents / administrative data holders in case of visibly inaccurate data or big changes from one period to another.
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18.4. Data validation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
As far as annual EU data collections are concerned, validation occurs in two steps:
The internal validation committee checks the data from the perspective of the:
The internal validation committee also routinely monitors data treatments, which are revised as required. |
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18.4.1. Data validation – national data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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18.5. Data compilation | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
See 18.5.2. |
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18.5.1. Imputation - rate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not requested for this metadata collection |
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18.5.2. Data compilation – data collections | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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18.6. Adjustment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable or not available |
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18.6.1. Seasonal adjustment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Not applicable or not available |
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