Title of statistical activity: Energy consumption and production (annual)
Code of statistical activity: 20206
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
1.2. Contact organisation unit An addressable subdivision of an organisation.
Enterprise and Agricultural Statistics Department
1.3. Contact name The name of the contact points for the data or metadata.
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".
1.5. Contact mail address The postal address of the contact points for the data or metadata.
51 Tatari Str, 10134 Tallinn, Estonia
1.6. Contact email address E-mail address of the contact points for the data or metadata.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 9285
2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.
2.2. Metadata last update Date of last update of the content of the metadata.
3. Statistical presentation
3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.
Energy balance sheet; consumption of fuels by type of fuel and branch of economy; capacity and production of power plants by type of generator; capacity of boilers and production of heat by type of boiler and branch of economy; energy efficiency indicators
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
Combined Nomenclature (CN)
List of Products of the European Community (PRODCOM List)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
EMTAK: 07, 08, except 0892, 09-33, 41-43
EMTAK: 05, 06, 0892, 091, 19, 35, 0721
Agriculture and fishing
EMTAK: 01, 02, 03
EMTAK: 49, 50, 51
Commercial and public services
EMTAK: 36-39, 45-47, 52-56, 58-98
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Biodiesel – fuel produced from vegetable fats, animal fats and processed used frying oils.
Bioethanol – ethanol produced from biomass and/or biodegradable fraction of waste.
Biofuel – liquid fuel and gas fuel produced from biomass and used in transport (bioethanol, biodiesel).
Boiler – equipment for the production of steam or hot water using heat generated from the combustion of fuels.
Boiler-house – boiler equipment with the building and other facilities for the production of heat with heat carrier (steam or hot water). Boilers are not heating equipment or furnaces where the generated heat is transmitted directly without heat carrier.
Combined heat and power (CHP) – production of both heat and electricity from fuel combustion.
Converted energy (transformation output) – energy from converting primary energy, including electricity, heat, peat briquette, shale oil and oil shale coke and generator gas.
Electricity generated from renewable energy sources – ratio between the electricity produced from renewable energy sources and the gross national electricity consumption.
Energy dependency – shows the extent to which an economy relies on imports to meet its energy needs. It is calculated as a ratio of the difference of imports and exports to total consumption.
Energy intensity of the economy – the gross inland consumption of energy divided by GDP at constant prices. It measures the energy consumption of an economy and its overall energy efficiency.
Enterprise – an enterprise consists of one or more companies (public limited company, private limited company, limited partnership, general partnership, commercial association) or branches of foreign companies or sole proprietors.
Final consumption of energy – energy, which is received and consumed after conversions into other forms of energy (electricity, heat, fuel). Final consumption excludes the use of energy for non-energy purposes, own consumption by power plants and losses.
Final consumption of energy = primary energy supply + production of converted energy – consumption for conversion into other types of energy – own consumption of the energy sector – consumption for raw material – losses.
Fuels used for non-energy purposes – oil shale, natural gas and liquid fuel used as lubricating oil that are used as raw materials in the chemical industry.
Marine bunkering – quantities of fuels delivered to sea-going ships of all flags.
Primary energy – naturally sourced energy, which is consumed directly without conversion into other forms of energy. Primary energy sources in Estonia are oil shale, peat, firewood, wood chips, wood waste and biogas, but also coal, natural gas, liquefied gas, heavy fuel oil, light fuel oil, diesel, motor gasoline and aviation gasoline, which are imported.
Public power plants – undertakings whose primary activity is the generation of electricity for sale.
Renewable energy – energy from non-fossil sources (wind, solar, geothermal, wave, tidal, hydropower, biomass, landfill gas, sewage treatment gas and biogases).
Resources of primary energy – sum of stocks at the beginning of the year, production and imports.
Share of biofuels in total fuel consumption in transport – the percentage of biofuels in total fuel consumption in transport. Liquid biofuels include bioethanol (ethanol produced from biomass and/or biodegradable fraction of waste), biodiesel (a diesel quality liquid fuel produced from biomass or used fried oils), biomethanol (methanol produced from biomass and/or the biodegradable fraction of waste), biodimethylether (a diesel quality fuel produced from biomass and/or the biodegradable fraction of waste) and bio-oil (a pyrolysis oil fuel produced from biomass).
Share of renewable energy in gross final energy consumption – the contribution of renewable energy to gross final energy consumption.
Statistical difference – the difference between final energy available for consumption and actual final energy consumption.
Supply of primary energy (gross inland consumption) – equivalent to total consumption including the losses in transport and in distribution; primary energy resources less exports and stocks at year end.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Enterprises who produce and consume energy; institutions, organisations and households who consume energy; enterprises authorised to sell electricity
List of economically active units generated from the Business Register for Statistical Purposes
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
Estonia as a whole
Counties – data about fuel consumption
3.8. Time coverage The length of time for which data are available.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Basic data on energy quantities are in fuel specific units, e.g. liquid fuels in thousand tonnes, electricity in kilowatt-hours, while structural data on the capacity of installations are in megawatt, thousand tonnes per year (production capacity) or thousand square meters of installed surface in case of solar panels. The basic energy quantities data are converted to energy units, i.e. in terajoules and tonnes of oil equivalent to allow the addition of different nature fuel types.
Production, imports, exports and sales of electricity; production of heat – gigawatt hour, terajoule
Consumption of fuel for energy production – natural unit (depending on the type of fuel), terajoule; cost of consumed fuel – thousand euros
Stocks – natural (depending on the type of fuel), terajoule
Electrical and heating power – megawatt
Share – %
6. Institutional mandate
6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.
DIRECTLY APPLICABLE LEGAL ACTS
Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
Commission Regulation (EU) No 431/2014 of 24 April 2014 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the implementation of annual statistics on energy consumption in households (Text with EEA relevance)
Commission Regulation (EU) No 147/2013 of 13 February 2013 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the implementation of updates for the monthly and annual energy statistics
Commission Regulation (EU) No 844/2010 of 20 September 2010 amending Regulation (EC) No 1099/2008 of the European Parliament and of the Council on energy statistics, as regards the establishment of a set of annual nuclear statistics and the adaptation of the methodological references according to NACE Rev. 2 (Text with EEA relevance)
OTHER LEGAL ACTS
International Energy Agency (IEA)
Organisation for Economic Co-operation and Development (OECD)
United Nations Organisation (UNO)
7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 32, § 34, § 35, § 38 of the Official Statistics Act.
7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.
8.1. Release calendar The schedule of statistical release dates.
Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the statistical database, news releases, main indicators by IMF SDDS and publications for the following year are announced in the release calendar (in the case of publications – the release month).
8.2. Release calendar access Access to the release calendar information.
8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.
All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the statistical database. If there is also a news release, it is published simultaneously with data in the statistical database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
The news release “Energy production and consumption” once a year. The news release can be viewed on the website https://www.stat.ee/news-releases.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the subject area “Economy / Energy” in the statistical database at http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 33, § 34, § 35, § 36, § 38 of the Official Statistics Act. Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activities 10104 “Environmental taxes accounts”, 10406 “Air emissions accounts”, 20407 “Consumer price pndex”, 20408 “Producer price index of industrial output”, 21401 “National accounts (annual)”, 21407 “Sector accounts”, 21408 “Supply and use tables”, 50101 “Regional development” and 50201 “Sustainable development indicators”.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
Energy Statistics Manual, OECD, IEA, Eurostat (2005)
Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.
To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.
11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.
Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process; this information can take many forms, including feedback from users, process metadata, system metrics and suggestions from employees. This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Ministry of the Environment
Ministry of Economic Affairs and Communications
Ministry of Rural Affairs
Eesti Pank (central bank of Estonia)
Ministry of Finance
Ministry of the Interior
Ministry of Social Affairs
Tallinn City Office
Tartu County Government
The Estonian Environment Agency
Local government institutions
Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.
12.2. User satisfaction Measures to determine user satisfaction.
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.
All results are available on the website at https://www.stat.ee/user-surveys.
12.3. Completeness The extent to which all statistics that are needed are available.
The statistics are in compliance with the volumes and deadlines of Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008.
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
The type of survey and the data collection methods ensure sufficient coverage and timeliness
13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.
The error due to probability sampling is estimated for more important indicators.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
Data are published 240 days after the end of the reference year (T + 240).
14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.
The data have been published at the time announced in the release calendar.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
Common international methodology allows comparing the data collected on the basis of the energy statistics regulation across countries.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
Import and export data are comparable in the energy balance sheet as of 2012 when re-exports were included (export of something that has been imported to Estonia (e.g. fuel)). The data of electricity and heat from wood and biogas are presented separately and comparable in a time series from 2009 and 2013, respectively.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Datasets, which are created on the basis of the energy statistics regulation, are coherent at enterprises' economic activity level with Statistics Estonia's statistics of other domains through the definition of statistical units (enterprises, institutions and organisations) in the statistical business register (statistical profile).
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The coherence of data is ensured through relevant checks applied on variables in the collection process.
Cost of statistical activity 33.2 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 806.3
Average time of filling in the reports, hours per report:
Tarbitud kütus ja energia 1.1
(data for 2016)
17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.
The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia at https://www.stat.ee/dissemination-policy.
17.2. Data revision - practice Information on the data revision practice.
The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The total population is 70,000 objects. The sample includes 8,000 objects.
Energy data are collected from all producers, sellers and storers of fuel, electricity and heat, and all rail, water and air transport enterprises. In the case of other energy consumers, sample survey is used. The total population includes economically active units. All units with at least 50 employees are surveyed, and a random sample is drawn from all other units.
An extensive outturn account is received from the information system of governmental accounts of the State Shared Service Centre: maintenance costs of registered immovables, buildings, premises, real estate investments and structures (heating and thermal heat – accounts 551100, 551120, 551130, 551200; electricity – accounts 55101, 551121, 551131, 551210), vehicle maintenance costs (fuel – account 551300). Number of objects: 2,000.
Data on stocks in excise warehouses and inland consumption of liquid fuels are received from the Estonian Tax and Customs Board.
Data on sources of pollution received from the Estonian Environment Agency are used for pre-filling questionnaire “Energy”.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 22303 “Foreign trade” are used.
18.2. Frequency of data collection Frequency with which the source data are collected.
18.3. Data collection Systematic process of gathering data for official statistics.
Data are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).
Data are collected with the annual official statistics questionnaires “Power plant”, “Energy” and “Consumption of fuels and energy”.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, the internal coherence of the data is checked.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
In the case of missing or unreliable data, estimate imputation based on established regulations will be used. The data of the enterprises that did not submit the questionnaire are replaced with the corresponding data averages of similar enterprises. Administrative data are used for checking and imputation.
Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.
For statistical units weights are calculated, which are used to expand the data of the sample survey to the total population.
Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures, e.g. average, median, dispersion, etc.
The collected data are converted into statistical output. This includes calculating additional indicators. In order to obtain data about the energy consumption of households, non-regular surveys are organised over a few years. In the years when the survey does not take place, data are estimated based on the data structure of the previous survey, the data of enterprises selling fuel and the data from the Household Budget Survey. The last survey on household energy consumption took place in 2011.
18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.