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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Directorate General for Energy and Geology (DGEG) |
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1.2. Contact organisation unit | Department of Energy Planning and Statistic. |
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1.5. Contact mail address | Avenida 5 de Outubro, 208 (Edificio Santa Maria) 1069 - 203 Lisbon |
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26/07/2022 | |||
2.1. Metadata last certified | 01/10/2022 | ||
2.2. Metadata last posted | 01/10/2022 | ||
2.3. Metadata last update | 27/07/2022 |
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3.1. Data description | ||||||||||||||||||||||||
All statistical production by DGEG is based on administrative data available in energy, which are collected in the exercise of its competences. DGEG defines the content, form, and timing of disclosure of information, according methodologies and procedures described in the joint guidelines of Eurostat and International Energy Agency, as well in European Regulations, Directives and Decisions. The main data variables collected by DGEG related energy sector are imports/exports, stocks, production, tranformation, consumption and capacities. Under the delegation from Statistics Portugal (SP), DGEG submits reports on national energy statistics to European Commission, Eurostat, IEA, and United Nations Economic Commission for Europe (UNECE). All statistical information can be found on the DGEG webpage: https://www.dgeg.gov.pt/pt/estatistica/energia/ Also, statistical indicators related to energy are available in SP Portal.
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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 data covers all major sectors of the economy that are involved in the production, trade, energy transformation or energy consumption. |
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3.4. Statistical concepts and definitions | ||||||||||||||||||||||||
The main statistical variables collected by DGEG related energy sector are imports/exports, stocks, production, tranformation, consumption and capacities, according definitions of Regulation (EC) No 1099/2008 on energy statistics and joint guidelines of Eurostat and International Energy Agency (Energy Statistics Manual). |
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3.5. Statistical unit | ||||||||||||||||||||||||
See table under 3.5.1. |
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3.5.1. Statistical unit – Data collections | ||||||||||||||||||||||||
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3.6. Statistical population | ||||||||||||||||||||||||
DGEG collects administrative data related to 100% of energy flows. |
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3.7. Reference area | ||||||||||||||||||||||||
Whole country including the Islands Açores and Madeira. |
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3.8. Coverage - Time | ||||||||||||||||||||||||
See table under 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 table under 4.1. |
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4.1. Unit of measure – data collections | ||||||||||||
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See table under 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 | ||||||||||||||||||
DGEG is the national entity with delegated statistical functions by Statistics Portugal (SP), for producing the official statistics defined by protocol signed on June 1st of 2010 on energy and geological resources (1). The exercise of these delegated competences by DGEG is performed by exclusive technical orientation of SP and with strict compliance with the legislation and rules issued by the National and European Statistical Systems. The principles, rules and structure of National Statistical System are defined by Law (2). Statistical authorities, in their field of action, may require compulsory and free, to all departments or agencies, natural or legal persons, any necessary elements to produce official statistics. Within the framework of its competences, DGEG has the responsibility of monitoring, at national level, the impact of national energy and geological resources policy works and assist the political decisions in these matters (3)(4). For this purpose, DGEG needs to have up to date information on energy. All statistical production is based on administrative data in the energy area available on DGEG, and their relevance is based on the respective national legislation. On energy statistics, it is also necessary to consider the parameters to EU community and IEA obligations. The Executive order no. 62-A/2015, of 3rd March (4), establishes the “Energy Planning and Statistics Department (DSPEE)” of DGEG, as responsible to produce energy statistics, in order to maintain a current knowledge of the respective sectors and the pursuit of DGEG competences. Article 5 (paragraph 4) of mentioned legislation establishes the legal basis for the collection/compilation of relevant data in order to update and disseminate statistical information, as well the responsibility to organize and update databases, creating a better integration with existing databases from other DGEG Departments. The most part of the national specific legislation on energy has one or more articles obliging operators to report information/data to DGEG (or sets the premises to DGEG to request the necessary information to the exercise of its specific competences) according to a defined frequency, ensuring data confidentiality. These procedures allow DGEG to collect and consequently compile statistical data. (1) Protocol of Delegated Statistical Functions by SP to DGEG. (2) Law of the National Statistical System: Law no. 22/2008, May 13th (3) Organic Law and competences of DGEG Decree Law no. 130/2014, August 29th (4) Organization and Competences of Departments of DGEG: Executive order no. 62-A/2015, March 3rd |
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6.1.1. National legal acts and other agreements | ||||||||||||||||||
Common legal framework for all data collection: Protocol of Delegated Statistical Functions by SP to DGEG
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6.2. Institutional Mandate - data sharing | ||||||||||||||||||
See table under 6.2.1. |
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6.2.1. Institutional mandate – data sharing – national data collections | ||||||||||||||||||
For Households questionnaire the main contribution to cames from survey of consumption in the domestic sector, carried out by the DGEG and Statistics Portugal. The last one was carried out in 2020. SHARES also receives contributions from heat pumps, whose main source of information is APIRAC (industrial association from sector); LNEG (LNEG - Certification Body for Compliance of Biofuel Sustainability) for the breakdown of biofuels in transport; MOBIE (National Electric Mobility Network) for electric vehicle charging/consumption; biomass consumption from Statistics Portugal - IAPI / PRODCOM (Annual Survey on Industrial Production); biomass consumption from Portuguese Environment Agency – Data from Emissions Trading System (ETS); Pellets producers. |
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We dont have confidential data points in any data set. Annexes: Annex_Confidentiality in EU data collections |
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7.1. Confidentiality - policy | ||||||||||||||||||||||||||||||||
According to established protocol with delegated statistical functions by Statistics Portugal to DGEG (1), DGEG complies with the European Statistics Code of Practice (2) and the Policy of Statistical Confidentiality (3) defined by Statistics Portugal. According also to Executive order 62-A/2015 of 3 March (4), Energy Planning and Statistics Department (DSPEE) of DGEG shall adopt the necessary measures to fulfil the obligations for the application of statistical confidentiality in production and dissemination of statistical information produced in the areas of energy and geological resources. Breaking of the statistical confidentiality is punishable according to Article 32 of the Law nº 22/2008, May 13th (5). DGEG as Other National Authority Statistics (6) and according to Law 22/2008, May 13th it is committed to respect confidentiality. All staff are committed to this obligation, and signed confidentiality commitment statements. (1) Protocol of Delegated Statistical Functions by SP to DGEG (2) European Statistics Code of Practice and the Statistical Confidentiality Regulation https://ec.europa.eu/eurostat/documents/64157/4392716/Revised_CoP_Nov_2017.pdf (3) Statistics Portugal - Policy of Statistical Confidentiality (4) Organization and Competences of Departments of DGEG: Executive order no. 62-A/2015, March 3rd (5) Law of the National Statistical System: Law no. 22/2008, May 13th (6) Dispatch (extract) no. 13284/2010, August 12th (from Statistics Portugal)
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7.2. Confidentiality - data treatment | ||||||||||||||||||||||||||||||||
Access to the detailed data used in statistical production and respective dissemination are subject to confidentiality. If some statistical data are used by other DGEG department, in the exercise of own competences, they are obliged to the confidentiality in the same way as the staff of DSPEE and cannot be transferred to any third party. DGEG does not provide anonymized microdata. As an alternative, DGEG provides aggregated information, usually for academic purposes, with a greater detail than that published on the website, but also respecting statistical confidentiality. The dissemination of statistical information on DGEG webpage, as well as the information sent to Eurostat and IEA, is aggregated data, with the exceptions of Refineries information (two plants in Portugal until 2020 and only one after 2021) always were released with the authorization of the respective company that never oppose DGEG to do that, although we don’t have any written statement. |
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7.2.1. Confidentiality – EU data collections | ||||||||||||||||||||||||||||||||
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8.1. Release calendar | |||
The statistical releases are based on pre-announced calendars available in DGEG webpage (1), according to Annual Statistical Work Program, available for the public. Any change in posted dates provided for release is always explained/justified on calendars. The dissemination of preliminary results is also previewed on the calendar (and defined in methodological documents, when applied). The DGEG, twice a year, sends to Statistics Portugal (SP) the activity report (2) where it monitors statistical production, including the deviations and justifications if applicable, that will be integrated on Annual Report of SP and Other National Authorities (3). (1) Calendar with statistical releases (2) See Activity report file in annex P13_Q131_Doc_02.xlsx (3) Statistcs Portugal and ONA Annual Work Programme 2022 Annexes: Activity report – 2021 |
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8.2. Release calendar access | |||
Calendar with the publications forecast for 2022. |
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8.3. Release policy - user access | |||
DGEG is an entity with functions entrusted by National Statistics Institute (Statistics Portugal) for producing and disseminating the official statistics defined by the protocol signed on June 1st 2010 (1). The exercise of these competences by DGEG is performed under Statistics Portugal technical-scientific and methodological supervision and with strict compliance with the legislation and rules issued by the National and European Statistical System. Within this functions delegation, DGEG adopted the European Statistics Code of Practice and the Statistics Portugal Confidentiality Charter as well as other Statistics Portugal policies such as Dissemination and Revision policies in particular. All statistical production by DGEG is based on administrative data available in the area of energy and geological resources, which are collected in the exercise of its competences. DGEG defines the content, form and timing of dissemination of information. DGEG ensure the equal access to all users and there is no priority entity receiving (previously) information.
(1) https://www.dgeg.gov.pt/media/gvrhlbsn/protocolodelegacaocompetenciasine-dgeg.pdf |
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See table under 9.1. |
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9.1. Frequency of dissemination – national data collections | ||||||||||||
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Since 2020, DGEG reformulated its website (https://www.dgeg.gov.pt/pt/estatistica/energia/) and the statistics were given a greater exposure and better organization. This reformulation has been well accepted by users, who consider it easier to access statistical information. Every statistical data is identified by geographic scope, reference period, unit(s) of measurement, quality of the data (preliminary, provisional, or estimated and definitive) as well as the last revision date. |
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10.1. Dissemination format - News release | |||
The most reported publications in the media in last years were:
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10.2. Dissemination format - Publications | |||
All the publications produced are available in electronic format, the most consulted are: Energia em Números (Energy Numbers) - annual - number of consultations: 3802 Estatísticas Rápidas das Renováveis (Quick Renewable Statistics) - monthly - number of consultations: 5524 Estatísticas Rápidas dos Combustíveis (Quick Fuels Statistics) - monthly - number of consultations: 3749 Balanço Energético Nacional (Energy Balance) - annual - number of consultations: 8369 Fatura Energética (Energy Bill) - number of consultations: 1010 Indicadores energéticos (Energy indicators) - number of consultations: 4519 Households energy consumption survey - 2020 - number of consultations: 4600 Number of consultations during 2021. |
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10.3. Dissemination format - online database | |||
Online database dissemination, not available. Dissemination only available in pdf and xls format. |
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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 | |||
Micro-data it is not available for dissemination. |
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10.5. Dissemination format - other | |||
Since 2020, DGEG reformulated its website and the statistics were given a greater exposure and better organization. The energy statistics, which allows easy access to each area and respective theme. This reformulation has been well accepted by users, who consider it easier to access statistical information. DGEG submit statistic data regulary, according regulations to Eurostat, IEA and UNECE. Related policy papers we highlight:
The statistical data produced by DGEG are also periodically published on the Statistics Portugal, Pordata and Energy Observatory websites: https://www.ine.pt (Statistics Portugal) https://www.pordata.pt/en/Subtheme/Portugal/Energy-90 (Pordata) |
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10.5.1. Metadata - consultations | |||
Not requested for this metadata collection |
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10.6. Documentation on methodology | |||
Methodology documents avalable in: Methodological framework of energy statistics produced by DSPE/DGEG is clearly defined by Eurostat and IEA and is described on Manuals, joint guidelines, and regulations/directives.
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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 | |||
The obligation of DGEG to submit reports on the national energy statistics to European Commission, EUROSTAT and IEA requires that, in case of inconsistency, spot data/outliers, breaks in the series or error detection, a promptly justification/explanation must be presented. Additionally, IEA developed a set of indicators on timeliness, completeness, data quality and cross-questionnaires consistency, in order to give an overall assessment of the combined annual statistics questionnaires send to IEA/EUROSTAT, that provides a visual overview of each country's performance over the last annual cycle and includes a comparison with the previous cycle for all indicators. This performance can be seen in last cycle report, available in annex files: Annual Energy Questionnaires Report Card from IEA – Portugal 2019 Data Cycle and Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles). The document “How to Read a Report Card” helps the interpretation of these reports. DGEG is committed to following the Statistics Portugal and Eurostat's code of practice for statistical production the respective commitment to quality, available in annex file. Annexes: IEA - Annual Energy Questionnaires Report Card - 2019 Data Cycle IEA - Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles IEA - How to Read a Report Card Commitment to Quality |
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11.1. Quality assurance | ||||||||||||||||||
Within the framework of its competences, and according with the National Statistical System Law and the protocol of delegated statistical functions signed with Statistics Portugal, DGEG regulated itself by quality standards on the statistical data produced. To manage the quality, DGEG does not have any specific organizational structure or any dedicated team. To deal with the quality management on statistics, rules and validations for structure, domain and consistency were implemented along all procedures of data collection/compilation. Each type of information is received in structured files to avoid manual recording of data and mistyping. All parameters are presented in pre-set tables, e.g. country codes, NACE, municipality codes, boat types, etc. Collected data are introduced into an IT application and validated using specific rules, which are dependent on the type of statistics to produce and where the consistency of the data is analyzed, and the respondent is contacted in case of poorly filled or doubts arising elements. Analyzes on quantities reported by the operators are performed over the months and years for each product, activity sector and municipality. The use of time series, especially for the last three years, also allows the checking of the consistency of data. If errors are detected in filling out fields, unreasonable values, series breaks or any other reason that undermines the quality of statistical information, the source of information is always questioned. DGEG plans for the coming 3 years, hire human resources, acquisition of a web platform with a good level of automation in the control and validation of data submitted by main operators of oil, natural gas and electricity. |
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11.2. Quality management - assessment | ||||||||||||||||||
The most recent quality assessments can be seen in last cycle report, available in annex files: Annual Energy Questionnaires Report Card from IEA – Portugal 2019 Data Cycle and Comparative assessment of the annual reporting (2019-2020 and 2020-2021 cycles). The document “How to Read a Report Card” helps the interpretation of these reports. See annexes in 10.7 sub-concept. DGEG is committed to following the Statistics Portugal and Eurostat's code of practice for statistical production the respective commitment to quality, available in annex file. |
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11.2.1. Quality assessment – data collections | ||||||||||||||||||
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12.1. Relevance - User Needs | ||||||||||||||||||||||||||||||||||||||||||||||||
Statistical data (such as coal, oil, electricity, renewables monthly and annually data, energy balances, etc) is the basis for the definition of policy decision instruments and the basis for strategy and planning for the energy sector. At the same time, the collection and processing of data will enable policy monitoring. With regard to decision support instruments, we have as an example the application of statistical data to the development of monitoring reports on security of supply in the electricity and NG systems and the prevention and action plans and emergency plans for the risks associated to the NG sector. Statistical data is also the basis for the definition of prospective studies and projections aimed at defining strategic documents such as the National Energy and Climate Plans (NECP) -horizon 2021-2030. In NECP the forecasts/projections used statistical characterization information of the energy sector to make projections for its future behavior in its various subsectors. The Janus simulation model based on the Long-Range Energy Alternatives Planning System (LEAP) software was used for NECP. In the past for the definition of other national plans, such as National Renewable Energy Action Plan (NREAP) and National Energy Efficiency Action Plan (NEEAP) an identical exercise has been made to characterize and model the energy sector by 2020 (in the field of renewable energy and energy efficiency). These policies/strategies and instruments require monitoring through the collection and processing of data (responsibility of DGEG, with data provided by the operators and entities of the sector) and which is used according to the requests and necessity for such monitoring. The information is often used in universities for master's and doctoral theses. With some regularity, information is requested with a breakdown that compromises the confidentiality to which DGEG is bound. In these situations the information is denied. There has been increasing demand for data on decentralised production at the municipality level, which we are not yet able to provide. We are currently working to satisfy this need. |
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12.2. Relevance - User Satisfaction | ||||||||||||||||||||||||||||||||||||||||||||||||
Unfortunately we do not have satisfaction surveys that can quantify the level of satisfaction about our statistical production. |
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12.3. Completeness | ||||||||||||||||||||||||||||||||||||||||||||||||
Currently DGEG is able to provide all the required information. However, some reporting obligations in the near future, such as hydrogen, disaggregation of consumption in industry, services, transport, PV installations, etc., are currently not possible to provide and we will have to make efforts in the near future to meet these new needs. |
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12.3.1. Data completeness - rate | ||||||||||||||||||||||||||||||||||||||||||||||||
See table under 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 |
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13.1. Accuracy - overall | ||||||||||||
In the production of statistical data DGEG does not use sampling procedures, with the exception of the household energy consumption survey, done in cooperation with the Statistics Portugal, due to the exclusively use of administrative data corresponding, in most cases, to a complete coverage of the reality under study. DGEG is updating methodological documents for each delegated statistical operation, based on standard methodological documents defined according to the National Statistics System. |
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13.1.1. Accuracy – most common errors for specific data collections | ||||||||||||
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13.2. Sampling error | ||||||||||||
Not applicable, as we work with administrative data, with the exception of the questionnaire on consumption in households. |
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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 | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.1. Coverage error | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.1.1. Over-coverage - rate | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.1.2. Common units - proportion | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.2. Measurement error | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.3. Non response error | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.3.1. Unit non-response - rate | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.3.2. Item non-response - rate | ||||||||||||
Not applicable, as we work with administrative data. |
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13.3.4. Processing error | ||||||||||||
Not processed |
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13.3.5. Model assumption error | ||||||||||||
Not applicable, as we work with administrative data. |
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14.1. Timeliness | ||||||||||||
See table under 14.1.3. |
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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 | ||||||||||||
The statistical releases are based on pre-announced calendars available in DGEG webpage, according to Annual Statistical Work Program, available for the public. Any change in posted dates provided for release is always explained/justified on calendars. DGEG sends, twice a year, to Statistics Portugal (SP) the activity report where it monitors statistical production, including the deviations and justifications if applicable, that will be integrated on Annual Report of SP and Other National Authorities. As a rule, DGEG complies with the pre-announced schedule.
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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 | |||
DGEG follows the concepts and methodologies from the EU regulation and legislation: Energy Statistics Regulation no. 1099/2008 October 22nd; Heat Pumps - 2013/114/EU Commission Decision of 1 March 2013; etc. As well the IRES - International Recommendations for Energy Statistics; the joint Eurostat/IEA manual and guidelines for the questionnaires for energy statistics, in this way it is guaranteed, on energy statistics, a close cooperation between Eurostat and IEA, and ensures the uniformity and comparability of the statistical data from different Member States. The cross-national analysis of data, in terms of coherence and comparability is a process already implemented between DGEG and Statistics Portugal (SP) and between DGEG and APA - Portuguese Environment Agency in the context of ETS – Emission Trading System. SP, when preparing yearbooks, and needs to use, as an example, the electricity consumption or fuel consumption in transports, looks at time series, and if some outliers or inconsistence are detected it then asks DGEG to justify or if it is necessary to review this data. With APA, especially for the preparation of the National Inventory of Greenhouse Gases (GHG), where energy consumption represents 2/3 of GHG, the preferred source of information is the DGEG's Energy Balance, they ask for clarification when there are outliers consumptions values. After publishing the energy information, if DGEG is questioned about any possible incoherence, it investigates the origin and if necessary, contacts the suppliers of the respective information. |
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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 | |||
Time series breaks are properly signalled and may have the following causes: The emergence of new forms of energy, such as heat pumps; change of NACE; change of NUTs. |
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15.2.1. Length of comparable time series | |||
The main time series breaks occurred in: 2014, with heat pump accounting |
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15.3. Coherence - cross domain | |||
DGEG follows the concepts and methodologies from the EU regulation and legislation: Energy Statistics Regulation no. 1099/2008 October 22nd; Electricity and Natural Gas Transparency Prices - Regulation (EU) 2016/1952, October 26th; Heat Pumps - 2013/114/EU Commission Decision of 1 March 2013; etc. As well the IRES - International Recommendations for Energy Statistics; the joint Eurostat/IEA manual and guidelines for the questionnaires for energy statistics, in this way it is guaranteed, on energy statistics, a close cooperation between Eurostat and IEA, and ensures the uniformity and comparability of the statistical data from different Member States. All steps to produce statistics are analysed in relation to coherence and consistency, mainly through the identification of breaks in a time series or the basis of the analysis on geographic scope and reference period. If any outlier is detected it is requested from the provider of information clarifications/justifications to understand the situation. When data is submitted to the DGEG database, structure, domain, and consistency validations are performed. |
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15.3.1. Coherence - sub annual and annual statistics | |||
Normally the figures presented in the monthly reports and annual reports are very close, and differences of more than 3% are not expected. The main reasons for the differences are related with some companies that do not send monthly data and figures have to be estimated, or exchanges of flows, for example deliveries between companies covered by the statistical system and deliveries to final customers. |
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15.3.2. Coherence - National Accounts | |||
We can only perform validations with the national accounts at the level of imports and exports. |
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15.4. Coherence - internal | |||
Validations are performed between different forms. For example, deliveries declared in natural gas forms, for electricity production are crosschecked with electricity power plants forms related this consumption. Validations are performed to check for outlier’s values. Time series validations are performed by fuel type, municipality, NACE, etc. When filling out the annual questionnaires for Eurostat/IEA, the validations made by the questionnaires themselves are taken into account. After publishing the energy information, if DGEG is questioned about any possible incoherence, it investigates the origin and if necessary, contacts the suppliers of the respective information. |
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All statistical production is based on administrative data in the areas of energy and geological resources available on DGEG and defined according to national laws and it reduces the burden on providers of information. DGEG defines, according to National and European legal requirements and its own competence, which information is needed for statistical purposes. When the DGEG needs new administrative data, other departments can be involved, working together with the Statistics Department, in the design of new variables and procedures, having as a goal the reduction of the burden on data providers. Whenever possible, data already available in DGEG or in other administrative source should be used for statistical purposes, to reduce the statistical burden. As an example, with regards to electricity statistics, annual forms are sent via email and some fields are pre-filled with data from previous year (in case of information that is usually unchanged), so that the respondent only need to update the information if changes occurred. Another example, again in electricity statistics and for the monthly reports, the main information is based on data sharing with the Transmission System Operator (TSO) and this data are used on monthly reports. Only few of the more important operators are requested to send this information. Only request of information for annual data questionnaires is send to all the operators. Monthly data received from TSO, also allow identifying new plants that we need to inquire in more detailed, annually. Another good example to reduce the burden on respondents is the transition to online data collection procedures regarding mineral and spring water statistics as we did before for mines and quarries data collection and for road fuel prices data collection. In addition, concerning oil, natural gas and coal statistics, data is available monthly or quarterly and the annual statistics are produced taking into account the data already available. Budget with all DGEG/Statistics operations for 2020: 765 000 € |
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17.1. Data revision - policy | |||
Revisions are defined in Methodological Documents for each statistical operation. Generally, current revisions of information for year "n-1" may occur in dissemination of data for year "n". Other extraordinary revisions occur whenever an error is detected and/or were justified by the improved quality of the information provided, with significant impacts on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version and the revised values are marked with a conventional sign. |
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17.2. Data revision - practice | |||
Annual Electricity and Heat data collection - Usually, current revisions of information of year "n-1" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version. Monthly Electricity data collection - The current regular revisions mainly result from the incorporation of new information, for replacement estimates by actual data, or replacement of provisional figures previously provided by the companies. There is no extraordinary reviews. Coal data collection - Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version. Gas Natural data collection - The main revisions result of new information or data correction provided by the companies. Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version. Oil data collection - The main revisions result of new information or data correction provided by the companies. Current revisions of information of year ""n-1"" occur when disseminating the data for the following year. Other revisions occur whenever an error is detected and/or where justified by the improved quality of the information provided, with significant impact on available statistics. Every time a revision occurs, a new document (with the last revision date) replaces the old version. |
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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 | ||||||||||||||||||||||||||||||
All statistical production is based on administrative data. See in annexes documentation about questionnaire design for each data source: Electricity Annual - consumptions; file SE-EnergiaEletrica-Consumos.pdf Electricity Annual - Productions (example power plant); file DecProdAnual-2021-EETP.xlsx Electricity Monthly - Productions; file InqProdMensal-2020.xls Coal, Oil and Biofuels; file SistemaEstatisticoPetroleoCarvao.pdf Natural Gas; file SistemaEstatisticoGN.pdf Annexes: Electricity consumptions Electricity Production (main power plant) Electricity Production - Monthly Coal, Oil and Biofuels Natural gas |
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18.1.1. Source data – data collections | ||||||||||||||||||||||||||||||
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18.2. Frequency of data collection | ||||||||||||||||||||||||||||||
See table under 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 | ||||||||||||||||||||||||||||||
All statistical production is based on administrative data and defined according to national laws. Those data are collected in the exercise of DGEG competences. Each type of administrative data source, it is received in structured files to avoid manual recording of data and mistyping. All parameters are presented in pre-set tables, e.g. country codes, NACE, municipality codes, boat types, etc. Collected data are introduced into an IT application and validated using specific rules, which are dependent on the type of statistics to produce and where the consistency of the data is analyzed, and the respondent is contacted in case of poorly filled or doubts arising elements. In order to fulfil the need for statistical information, in recent years, DGEG do cross-analysis information with administrative data from other institutions as Statistics Portugal (SP) – Global international trade statistics and Industry statistics; Portuguese Environment Agency – Data from Emissions Trading System (ETS) and bunkers/aviation calibrators for national/international calculation; ENSE, National Entity of the Energy Sector– Oil reserves and oil importers; Regional Government of the Azores – Gasoil consumption in fisheries and agriculture; Transmission System Operator (TSO) – For main electricity and gas flows; Distribution System Operators (DSO), from mainland and islands – data collection with breakdown of electricity consumption and number of consumers; APIRAC, Air Conditioning Industry Association – Installed equipment; ADENE , Portuguese Energy Agency – Data from Energy Certification of Buildings System and Energy Intensive Consumption Management System; MOBIE – Electrical Mobility – consumption in electric vehicles; LNEG - National Laboratory for Energy and Geology – biofuels sustainability for production and imports. |
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18.4. Data validation | ||||||||||||||||||||||||||||||
See table under 18.4.1. |
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18.4.1. Data validation – national data collections | ||||||||||||||||||||||||||||||
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18.5. Data compilation | ||||||||||||||||||||||||||||||
See table under 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 | ||||||||||||||||||||||||||||||
DGEG does not make adjustments to data received, like depending on the number of days of the month, the time of year or the temperature. |
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18.6.1. Seasonal adjustment | ||||||||||||||||||||||||||||||
Some publications to avoid seasonality uses the concept of running year (the agregate of last twelve months). |
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