Statistics Lithuania

Agricultural, Environmental and Energy Statistics Division

29 Gedimino Ave., LT-01500 Vilnius, Lithuania

The objective of the annual fuel and energy surveys is to produce accurate and comparable statistical information on energy production, supply, transformation and consumption, to compile total energy and individual fuels (coal, peat, coke, biomass and other solid fuels, crude oil, petroleum products, balances of natural gas, biofuels, biogas, industrial and municipal waste) and energy (hydropower, geotermal, wind, solar, chemical, electricity and heat) and provide them to the  users.

The objective of the monthly statistical surveys is to estimate the domestic supply of fuels and energy during the surveys period, the amount of refined petroleum and extracted peat for fuel, production and distribution of electricity, use of coal, coke, natural gas, production and distribution of petroleum products, their resources and reserve stocks of the country.

The objective of the final energy consumpion in households statistics - prepare and publish comparable statistical information internationally on fuel and energy consumption in households, dividing the use of residential heating, hot water, cooking, house lit and other needs.

The Short Assessment of Renewable Energy Sources (SHARES) indicators is part of the Resource Efficiency Scoreboard. It is used to monitor progress towards a resource efficient Europe.

National version (EVRK) of the Statistical Classification of Economic Activities in the European Community (NACE).

Combined Nomenclature (CN).

Energy statistics data covers all major sectors of the economy that are involved in the production, trade, energy transformation and final energy consumption.

Definitions of Regulation (EC) No 1099/2008 on energy statistics apply.

See table under 3.5.1.

Enterprises of all economic activities.

The whole economic territory of the country.

See table under 3.8.1.

Not applicable.

See table under 4.1.

See table under 5.1

Regulation (EC) Nr. 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics, as last amended by Commission Regulation (EU) 2022/132 of 26 November 2019;

Law on State Stocks of Petroleum Products and Crude Oil of the Republic of Lithuania (only in Lithuanian);

Council Directive 2009/119/EC of 14 September 2009 imposing an obligation on Member States to maintain minimum stocks of crude oil and/or petroleum products (OJ L 265, 9.10.2009, p. 9–23);

Resolution No 648 of 27 May 2004 of the Government of the Republic of Lithuania on the implementation of the Law on Biofuel and Biooil of the Republic of Lithuania (only in Lithuanian);

Resolution No 1901 of 5 December 2002 of the Government of the Republic of Lithuania regarding the approval of rules for the preparation, management, accumulation and control of petroleum products and State stocks of oil and the minimum amount of petroleum products (Official Gazette, 2002, No 117-5255) (only Lithuanian).

Resolution No 1314 of 15 September 2010 of the Government of the Republic of Lithuania on the approval of the description of procedures for the submission of the progress report on the promotion and use of renewable energy sources to the European Commission (only in Lithuanian).

Council DIRECTIVE 2009/28/EC OF of23 April 2009 on the promotion of the use of energy from renewable sources.

See table under 6.2.1.

Regulation (EC) No 223/2009 on European statistics (recitals 23-27, 31-32 and Articles 20-26) applies.

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania. 

Statistical Disclosure Control Manual, approved by Order No DĮ-107 of 26 April 2022 of the Director General of Statistics Lithuania;

The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania.

Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar.

Official Statistics Calendar

Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.

All users have equal access to statistical information. All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to news subscribers.

The President and Prime Minister of the Republic of Lithuania, their advisers, the Ministers of Finance, Economy and Innovation, as well as Social Security and Labour or their authorized persons, as well as, in exceptional cases, external experts and researchers have the right to receive early statistical information. The specified persons are entitled to receive statistical reports on GDP, inflation, employment and unemployment and other particularly relevant statistical reports one day prior to the publication of this statistical information on the Official Statistics Portal. Before exercising the right of early receipt of statistical information, a person shall sign an undertaking not to disseminate the statistical information received before it has been officially published.

Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania.

See table under 9.1.

Yearly and monthly.

A news realise (annual) is published in 6 months after the end of the reference year.

Statistical information is published in the publications Environment, Agriculture and Energy in Lithuania and Statistical Yearbook of Lithuania.

Database of Indicators (Environment and energy -> Energy -> Annual energy indicators)

Database of Indicators (Environment and energy -> Energy -> Annual energy indicators-> Renewable energy sources)

Database of Indicators (Environment and energy -> Energy -> Monthly energy indicators)

Database of Indicators  (Environment and energy -> Energy -> Household energy consumption->Fuel and energy consumption in households by type of end use).

Not requested for this metadata collection.

Statistics Lithuania, in response to the needs of users of statistical information, provides them with access to open data sets with data on statistical observation units. More information is available on the Official Statistics Portal, at Open data.

Statistical information is published in the Eurostat‘s database. Provided to the International Energy Agency.

Not requested for this metadata collection

Links to quality and methodology documentation (reference material on methods and questionnaires used): http://estatistika.stat.gov.lt/statistiniu-ataskaitu-formos.html.

Link to national metadata: https://osp.stat.gov.lt/documents/10180/5118910/Metiniai+energetikos+rodikliai+%5BEN%5D+467.html

https://osp.stat.gov.lt/documents/10180/5118910/M%C4%97nesiniai+energetikos+rodikliai+%5BEN%5D+468.html

https://osp.stat.gov.lt/documents/10180/5118910/Kuro+ir+energijos+suvartojimo+nam%C5%B3+%C5%ABkiuose+kryptys+%5BEN%5D+113040000.html

Not requested for this metadata collection

Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.

Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.

More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.

Data quality is in line with the principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. In energy statistics, there may be important deviations, which can cause problems when energy statistics are compared with related national accounts aggregates. Data on electricity and heat production and fuel consumed for energy production in enterprises whose main activity is other than energy production (e.g. electric power and boiler plants of industrial enterprises) are provided separately from the sector where they were produced. Data on energy consumption in transport are also provided separately from the sector where it was consumed. Energy industry (EVRK Rev. 2, 06, 08.92, 09.1, 19, 35) both as a consumer and as an energy transformer is separate from industry.

 Quality of data complies with the accuracy, timeliness and punctuality, comparability and compatibility requirements. The quality of the received information is analyzed by assessing statistical indicators. Divergent values of indicators are identified and analyzed.  Identified inaccuracies in the statistics are edited.  Additional statistical control of the data quality is performed in macro data level.

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania.

Quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice and ESS Quality Assurance Framework.

In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.

Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.

More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.

Please see 11.2.1

Data quality is in line with the principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. In energy statistics, there may be important deviations, which can cause problems when energy statistics are compared with related national accounts aggregates. Data on electricity and heat production and fuel consumed for energy production in enterprises whose main activity is other than energy production (e.g. electric power and boiler plants of industrial enterprises) are provided separately from the sector where they were produced. Data on energy consumption in transport are also provided separately from the sector where it was consumed. Energy industry (NACE Rev. 2, 06, 08.92, 09.1, 19, 35) both as a consumer and as an energy transformer is separate from industry.

Statistics Lithuania pays particular attention to strengthening the relation with users. Users are provided a possibility to put forward suggestions and comments by e-mail and via the Internet, attend meetings and trainings, which are regularly organized by Statistics Lithuania. Following the provisions of the Code of Practice, Statistics Lithuania pays particular attention to informing users about methods used for the preparation of statistical information and its quality. The website of Statistics Lithuania, section Statistics (pre-defined tables), presents the methodologies of statistical surveys and quality reports on statistical indicators based on the ESS quality requirements for statistical information.

The main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle.

Since 2005, user opinion surveys have been conducted on a regular basis. Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted.

In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.

More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.

All statistical indicators established by the legislation are published.

See table under 12.3.1.1.

The annual surveys are compiled following the Eurostat’s and International Energy Agency’s methodology. The main data are collected from enterprises producing, supplying and consuming fuel and energy. The surveys are conducted applying purposive (for fuel and energy producers and suppliers) cut-off (for fuel and energy consumers) and sampling methods. For the estimation of biomass consumption in households, data from a statistical survey on energy consumption in households are used. The values of the statistical indicators of the study period are summed up and grouped in different sections, and the aggregate statistical data indicators are analyzed. The statistical significance is compared with the results of the previous year, the search for the distinguishing values is performed, the interconnectivity of the statistical indicators is checked, the relationships between the statistical indicators are analyzed. The non-response rate and coefficient of variation are calculated for the accuracy of the indicators.

Negligible.

Errors not related to the sample do not significantly affect the results.

There is no coverage errors. 

Is not aware of any over-coverage issues in the samples.

See annex

Measurement errors occur when the respondent records statistics in wrong units (e.g. liters instead of tonnes, kWh instead of MWh). Significant measurement errors are found and corrected.

An error resulting from non-response is insignificant.

Depending on the nature of the statistical survey, it is considered that there are no indicators that should be completed. Therefore, in the case of empty indicator values, this is not considered as non-reporting of the indicator.

Essentially, respondents provide all required data.

No processing errors were found.

Not applicable.

 See tables under 14.1.1, 14.1.2, 14.1.3

Statistical information is published in accordance with an Official Statistics Calendar. In case of delay, users are notified in advance by indicating the reason and a new date of publication.

Persentage of statistical information realized on time is 100 per cent.

Statistical information is comparable across the Europen Union (EU) and Organisation for Economic Co-operation and Development (OECD) countries.

Not applicable.

Full comparability over time is ensured.

Annual statistical information - since 1990.

Monthly statistical information - since 2007.

Disaggregated final energy consumpion in households - since 2014.

SHARES - since 2005.

Annual data on imports and exports received from enterprise reports are checked against foreign trade statistics received from customs declarations and Intrastat reports. Data on fuel and energy production are checked against industry statistics. Insignificant differences are possible due to methodological differences.

The values of the monthly indicators are coherent with structural business statistics and industrial production statistics.

Statistical data on the energy consumpion in households are coherent with Employment and Stock of dwellings statistical survey data.

Annual data on imports and exports received from enterprise reports are checked against foreign trade statistics received from customs declarations and Intrastat reports. Data on fuel and energy production are checked against industry statistics. Insignificant differences are possible due to methodological differences.

Not applicable.

Annual statistical data --are coherent with the corresponding monthly data.

Monthly statistical data are coherent with respective annual data.

Final energy consumption in househols statistical data are coherent with the corresponding Fuel and energy balances annual data.

In 2020, the amount of EUR 83.9 thousand was allocated for the annual statistical surveys of fuel and energy. In 2020, the scope of the annual surveys was 3,054 economic entities.

In 2020, the amount of EUR 44.3 thousand was allocated for the monthly statistical survey of fuel and energy. In 2020, the scope of the monhly surveys was about 150 economic entities.

 In 2020, the amount of EUR 5.9. thousand was allocated for the preparation of the statistical information on disaggregated final energy consumpion in households.

In 2020, the average time taken by respondents to complete the annual Fuel and Energy Balance Statistical Report (EN - 01) is 1 hour 39 minutes, to fill in the annual statistical report on the balance of oil and oil products (EN - 06) - confidencial, to fill in the annual statistical report on fuel and energy consumption (EN-10) - 55 minutes. 

In 2020, average time spent by respondents on filling in the monhly statistical questionnaire EN-11– 48 min., EN-12 – 35 min., EN-14 – 24 min., EN-15 – 34 min., EN-17 - - confidencial.

Compared to last year, the statistical reporting burden has remained the same. Statistics Lithuania pays special attention to reducing the statistical reporting burden on respondents. Its obligations to implement the Law on Reducing the Administrative Burden of the Republic of Lithuania and to reduce the statistical reporting burden of the respondents are defined in the Policy of https://osp.stat.gov.lt/statistines-atskaitomybes-nastos-mazinimas. 

The revision policy applied by Statistics Lithuania is described in the Description of Procedure for Performance, Analysis and Publication of Revisions of Statistical Information.

The revision policy covers all national data collections.

 For 2020, the rezults are published are final and not revised.

Not applicable.

Statistical data source - annual and  monthly fuel and energy surveys (for enterprises) by targeted, truncated and random sampling.

Main sources on disaggregated final energy consumpion in households:

1. Fuel and energy balance of the annual statistical survey information about the final individual fuel and energy consumption in the country houses.

2. Energy consumption in households in 2009 and 2018 statistical surveys statistical information on households and their housing characteristics, on fuel and energy consumption in households by individual fuel and energy types, average consumption of fuel and energy for one m2 heated area and for one capita, energy consumption by use of the manner.

Other sources of the statistical data:

1. Lithuanian District Heating Association information of the amount of heat, which is made for residents in energy production facilities, highlighting how much heat is used for residential heating and hot water.

2. Employment statistical survey statistics on number of households and average size of household in urban and rural areas.

3. Stock of dwellings statistical survey statistics on useful area per capita.

4. Electricity distribution networks announced electricity consumption habits of the population study on information about operating time per year of individual devices and capacity of used devices.

5. Lithuanian Hydrometeorological Service under the Ministry of Environment information on average air temperature.

See table under 18.2.1.

Statistics are collected in the electronic statistical data production and transmission system e. Statistika,and by el.mail.

Data are presented in the Annual Statistical Report EN-01 (Fuel and Energy Balance), Annual Statistical Report EN-06 ( Oil and Petroleum Products Balance), Annual Statistical Report EN-10 (Fuel and Energy Consumption), approved by Order No. DĮ-338 of 7 December 2020 of the Director General of Statistics Lithuania.

Data are presented in the Monthly Statistical Report EN-11 (Statistical survey on fuel and energy supply), Monthly  Statistical Report EN-12 ( Statistical survey on the production and distribution of electricity), Monthly Statistical Report EN-15 (Statistical survey on natural gas), Monthly Statistical Report EN-16 (Statistical survey on crude oil and petroleum products), Monthly Statistical Report EN-17 (Electricity distribution survey), approved by Order No. DĮ-306 of 30 November 2021 of the Director General of Statistics Lithuania.

Format of the statistical report is regularly reviewed and, if necessary, improved (last tested and agreed with the Ministry of Economy and Innovation of the Republic of Lithuania in 2020) in order to reduce the statistical reporting burden on respondents.

To ensure the quality of statistical data, statistical data is checked and validated. From the described micro-level errors, an error classifier is formed, which contains the error code, the text of the error, an indication of whether the error must be corrected or can be ignored, and an indication of the origin of the error. Errors can be logical or arithmetic; they may be made by the respondent during data entry or processing. In order to ensure the quality of statistical data, the primary database is additionally checked (re-editing, validation of statistical data). The error protocol is checked, the completeness and reliability of the entered statistical data are checked, the correlations of indicators are analyzed, etc. Statistics are corrected for the types of errors: ignored and mandatory. The decision to correct or not to correct an ignored error is made by the reporting officer, and mandatory errors are always corrected.

See table under 18.4.1.

Statistical data control requirements are set in the survey programming technical task. Errors can be logical and arithmetical; they may have been made by the respondent, occurred at the data entry or processing stage.

In order to ensure statistical data quality, additional primary database check is performed (reediting, statistical data validation). The error protocol is checked, links between the indicators are analysed. Statistical data are corrected taking into account error types: some errors can be ignored, while others must be corrected.

When preparing the annual information, the values of the statistical indicators of the research period are summed up and grouped in various sections, and the aggregate statistical data indicators are analyzed.

The values of statistical indicators are compared with the results of the previous year, the search for a record of outstanding values is performed, the compatibility of statistical indicators is checked, the relations between statistical indicators (e.g. the ratio between consumed oil and produced oil products; between consumed fuel and produced energy); biofuel blending processes, etc.), errors that affect final results are sought.

In the case of significant deviations, the reasons for the deviation shall be explained. If necessary, statistical results are recalculated.

The process of compiling statistical information is described in more detail in the Kuro ir energijos metinio statistinio tyrimo metodikoje.

See table under 18.5.2.

Imputations are nor performed.

Statistical data control is exercised during data entry by searching for errors (comparing data with possible minimum and maximum allowable values), performing logical checks across different indicators, data aggregation is performed.

Adjustments are not performed.

Influence of the season and the number of working days on the annual and monthly fuel and energy statistics is not assessed.

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