Czech Statistical Office

Energy Statistics Unit

Na padesátém 81

100 82  Prague 10

Czech Republic

Energy Statistics monitors entities across all sectors of the national economy.

Therefore, the subjects of activities with the CZ-NACE code 01 to 96 are included in the monitored industries.

Energy statistics use our own statistical surveys in the field of energy, as well as other data sources from the CZSO and administrative data sources from other institutions.

The statistical surveys themselves are carried out using annual and monthly statistical reports.

Industry activity is categorized according to NACE rev. 2 (EU classification of economic activities).

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

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

See table under 3.5.1.

Czech and foreign economic subjects in the Czech Republic.

Households in the Czech Republic

The national territory.

See table under 3.8.1.

Length of time series: Year 1990 – Presence

Historical series for a limited number of variables available back to the 1970's.

Not applicable.

See table under 4.1.

See table under 5.1

 Legal acts and other agreements - EU level

Regulation (EC) No 1099/2008 of the European Parliament and of the Council of 22 October 2008 on energy statistics in its consolidated text

Directive No 2018/2002/EC, on Energy Efficiency

Legal acts and other agreements - national level

"Act No.89/1995 Coll., on the State Statistical Service, as amended

See table under 6.2.1.

The issue of data confidentiality is regulated by national and international legislation.

In the case of coarse classifications, views there is no problem with data confidentiality. However, the Czech Republic is a small country with a small number of enterprises.

Therefore, with more and more detailed classifications, views of data, the issue of data confidentiality becomes more and more important.

Confidentiality of statistical data in all process from collection to dissemination of statistical information is fully guarantees by national and EU legislative.

National legislation ensuring confidentiality.

"Act No. 89/1995 Coll., on the State Statistical Service, as amended

Act No 89/1995 Sb on the State Statistical Service | CZSO (paragraph 16, 17, 18)

EU legislative

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

Confidential data are not shown. The most common approach is to present only aggregation of the confidential data point with the non-confidential data that is the nearest suitable data point.

Czech Statistical Office: By the end of the preceding year, Catalogue of Products contains descriptors for the upcoming year’s news releases and publications. These become functioning links once the material has been released. Publications pertaining to energy data are available in the "Energy"(chapter) of the catalogue.

Ministry of Industry and Trade: No release calendar is available, publications and statististical information are published irregularly during the year.

The Release calendar in the form described above (8.1) is available on the Czech Statistical Office website, as part of the Catalogue of Products.

Link:https://www.czso.cz/csu/czso/catalogue-of-products?filtr=true&skupiny=39

All energy data is released to all interested parties on the announced date. No user has pre-release access to the data.

See table under 9.1.

Monthly and yearly (for oil, gas, coal, electricity, heat, renewables).

Consumption of energy in households and Energy intensity on manufacture of selected products are disseminated only yearly.

There are no differences between transmissions to Eurostat and national dissemination.

Přes polovinu energie protopíme | ČSÚ (czso.cz)

ČSÚ dokončuje zpracování výsledků Energo | ČSÚ (czso.cz)

Zalesňování bylo v loňském roce rekordní | ČSÚ (czso.cz)

Rekord v těžbě dřeva byl znovu pokořen | ČSÚ (czso.cz)

Nahodilá těžba dřeva je na vzestupu | ČSÚ (czso.cz)

Tepelná čerpadla – prodeje 2010–2020 | MPO

Vývoj hrubé výroby elektřiny a tepla k prodeji v letech 2010–2019 | MPO

Podíl obnovitelných zdrojů energie na hrubé konečné spotřebě energie 2010–2019 | MPO

Regular publications:

Consumption of Selected Petroleum Products and Natural Gas - monthly

Energetics (energy balance in Eurostat methodology) – yearly

Energy Intensity of the Manufacturing of Selected Products – yearly

Statistical Yearbook – yearly

Renewable Energy Sources – yearly

Share of Renewable Energy in Final Energy Consumption – yearly

Oil and Oil Products – yearly

Liquid Biofuels – yearly

Solid Fuels – yearly

Development of Gross Electricity Production by Fuels and Technologies – yearly

Topical publications:

Consumption of Fuels and Energy in Households (2016)

Historical Yearbook of Energy Statistics (2012)

Articles in the journal Statistika a My

Selected tables are available in the CZSO Public Database (VDB) and on the MoIT website.

Links:

Czech Statistical Office: VDB statistics https://vdb.czso.cz/vdbvo2/faces/en/index.jsf?page=statistiky#katalog=33415

Ministry of Industry and Trade: https://www.mpo.cz/en/energy/statistics/

Not requested for this metadata collection

According to national legislation, access to microdata is permitted for scientific purposes only. The relevant expert group decides each such access request on a case-by-case basis.

No other dissemination format.

Not requested for this metadata collection

Link to national metadata for Annual Statistical form on Fuels Sources and Fuels Distribution (EP 7-01); Annual Statistical form on Production and Distribution of Electrical Energy and Heat (EP 10-01); Annual Statistical form on Fuels and Energy Consumption and Fuels Stocks (EP 5-01); Annual Statistical form on Fuels Refining Energy Processes (EP 8-01); Annual Statistical form on Fuels and Energy Consumption for the Production of Selected Products ( EP 9-01); Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Refineries and Petroleum Products Manufacturers (EPR 1-12); Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Commercial and Storage Operators and End-users (EPS 1-12):

https://apl.czso.cz/iSMS/en/home.jsp

Link to national metadata for Eng (MPO) 1—12, Monthly form — Solid fuels; Eng (MPO) 4—01, Annual form — Renewables and wastes; Eng (MPO) 5—01, Annual form — Production and supply of electricity, heat and gases; Eng (MPO) 6—12 Monthly form — Liquid biofuels: https://www.mpo.cz/cz/energetika/statistika/.

Not requested for this metadata collection

Documents that ensure the quality of the provided data:

website: https://www.czso.cz/csu/czso/quality-management

Quality policy in the CZSO

9fc1fdda-0303-4049-b734-92837a215d7f (czso.cz)

Commitment on Confidence in Statistics in the Czech Republic | CZSO

Opinion polls of the Public Opinion Research Centre

Polls, surveys | CZSO

User Satisfaction Survey 2020 (czso.cz)

European Statistics Code of Practice 

The key components of quality assurance are the following:

Strategic documents of the Czech Statistical Office: Mission, Vision and Priorities of the Czech Statistical Office, Quality commitment, Priority tasks defined for each year.

Important aspects and procedures of quality management within statistical production process are documented in the internal Statistical Metadata System, including so-called Technical projects.

Link:

Key Documents

Important aspects and procedures of quality management within statistical production process as well as methodology are documented by the internal Statistical Metadata System in the Czech Statistical Office (also in the form of so-called Technical projects), event. instructions for surveyors that are available for every statistics produced.

Technical projects in general contain description of the primary input data, data sources, definition of population, sampling procedure, processing technology, requirements for data transfer, control relations and checks, automatic corrections, definition of organization responsibilities, description of controls and relations, definition of outputs, description of input, source and user databases, backups, schedules of project and program preparation, schedules of preliminary and final processing, etc. In the Czech Statistical Office there is a process of technical project preparation that is coordinated by the Department for Methodology of Performing Statistical Processing. For these purposes every year the so-called Schedule of technical preparation of statistical surveys is discussed in the advisory bodies of the President, where activities, terms and responsible units are specified.

With regard to Annual Statistical form on Fuels Sources and Fuels Distribution (EP 7-01); Annual Statistical form on Production and Distribution of Electrical Energy and Heat (EP 10-01); Annual Statistical form on Fuels and Energy Consumption and Fuels Stocks (EP 5-01); Annual Statistical form on Fuels Refining Energy Processes (EP 8-01); Annual Statistical form on Fuels an Energy Consumption for the Production of Selected Products (EP 9-01); Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Refineries and Petroleum Products Manufacturers (EPR 1-12); Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Commercial and Storage Operators and End-users (EPS 1-12); Eng (MPO) 1—12, Monthly form — Solid fuels; Annual form on Sectoral Indicators in Forestry (Les 8-01), users’ needs are fully respected.                   

Regarding Eng (MPO) 4—01, Annual form — Renewables and wastes, we target only to the user needs and try to prepare different statistical data according to users needs (Ministries, EC, companies associations etc.). We do not target only to fill-in Join RES questionnaire (IEA/Eurostat).

Regarding Eng (MPO) 5—01, Annual form — Production and supply of electricity, heat and gases, we target only to the user needs and try to prepare different statistical data according to users needs (Ministries, EC, companies associations etc.). Main source of data for State energy policy statistical database.

Regarding Eng (MPO) 6—12 Monthly form — Liquid biofuels, we target only to the user needs and try to prepare different statistical data according to users needs (Ministries, EC, companies associations etc.).

For ENERGO - Household Energy Consumption Sample Suervey, user needs are respected as close as possible.

No user satisfaction surveys are carried out for energy statistics at the national level. However, the Czech Statistical Office and the Ministry of Industry and Trade are continuously in contact with various groups of users, e.g. ministries, institutions and associations, internal users etc.

The Czech Statistical Office and Ministry of Industry and Trade provides Eurostat with all data required by Regulation (EC) No. 1099/2008 on energy statistics.

See table under 12.3.1.1.

In statistical surveys, the biggest errors and risks are related to sampling error and in the case of non sampling error these are measurement error and non response error in the form of unit non response rate and item non response rate.

In the case of sampling error and its expression in the form of a coefficient of variation, there are a large number of firms of different sizes with different fuel and energy consumption in different sectors of the national economy. This affects the coefficient of variation itself. This applies mainly to the industrial sector where there are large firms and also a large number of small firms. In the case of the transport, services and household sectors, consumption is already more homogeneous.

 In case of non sampling error the biggest errors are measurement error and then non response error.

 These errors are caused by firms' unwillingness to engage in thorough statistical reporting. Respondents are inattentive and often misunderstand or refuse to understand the various data collected. Therefore, respondents make errors in some of the data reported. Some respondents are even less forthcoming and do not send back the requested report without return, or send the report but blank without completing it.

These situations are not frequent but they do happen. Therefore, there is an effort to make the best and most frequent contact with the respondents, to improve the methodological guidelines and to simplify and make the individual statistical statements more clear.

Sampling error is expressed like coeficient of variation. All businesses survey are non-probability.

Businesses are sent reports based on the selection criteria of individual reports.

These criteria are the predominant CZ NACE activity code and also the size of the enterprise based on the number of employees.

In the case of the household sector, a two-stage probabilistic random sampling is performed.

In the first stage, the statistical circuit is selected. In the second stage, six apartments in each selected census district are randomly selected.

 Coefficient of variation (cv)

The most important errors are measurement error and non response errors

Measurement error

On some forms, respondents misunderstand the methodology and how to fill in the data.

The methodological instructions and explanatory notes have been expanded.

In the case of liquid fuels, the units of measurement will be revised. At the same time, illustrative examples of correct completion are included.

In order to reduce measurement errors, programmed logic controles, year  to year and month - to month controles are created to monitor a large number of these errors.

 Non response errors

Unit non response - rate

In case of economic subjects some forms have 0 % unit non response - rate. Some forms have about 10 % unit non response rate. 

Largest non response - rate has survey Energo (households) which is voluntary.

In the case of economic subjects, it is possible to telephone or send written or electronic reminders and notifications to these operators and try to obtain the required data.

In the case of households, one of the ways to reduce unit nonresponse is to increase the frequency and number of visits, reduce the questionnaire to the necessary minimum of questions that will not be too professionally demanding, use other means of communication such as email, telephone.  

Item non response - rate

 In order to eliminate, reduce item non response - rate, logic checks are included across the entire report.

In addition, year-to-year and month-to-month checks on the completion of individual items are incorporated.

In the event of ambiguity in completion, the respondent will be contacted by telephone to clarify the entry data.

In case of unit proportion each statistical report has its own unique variables that are not combined with any other variables from other administrative data sources.

The data from the statements are linked to other enterprise-level indicators from the RES (Register of Economic Entities) database.

The data of each of the individual enterprises covered by the statistical returns are directly linked to the data from the RES.

Under the Statistical Reporting Ordinance, individual enterprises are obliged to report data in the statistical returns they receive.

Also for this reason a very low non response is achieved, in most cases the non response is 0.

This situation does not apply to the household sector where participation in the survey is voluntary.

Households often refuse to participate because of fear of strangers, they refuse to provide their data for any use, household members are often unreached and they also refuse to provide very sensitive data on their energy situation for fear of misuse.

Processing errors are not significant in energy statistics.9 code lists are used in energy statistics.The items of individual fuels and energies are linked to the fuel and energy code lists named ENEPAL and ENEPALA.Thanks to these code lists, it is allowed to select only the offered items.Therefore, uniform coding is maintained and it is not possible to write your own text.At the same time, a code list of individual energy processes and transformation processes is created, thanks to which the items are also interconnected.The code list of individual items in the case of imports and exports, the code list of individual countries and also regions in the Czech Republic are also used. In energy statistic is also used code list of transport equipment. Classifications and links to CZ-NACE are also used, where the data are regularly updated on the basis of the Register of Economic Entities RES

Estimation of liquid fuel consumption in the construction.
The results of the EP 5-01 survey are used as a basis for estimating the consumption of liquid fuels in the construction sector.

Here the relevant NACE groups 41, 42, 43 are used.

These consumption figures are the initial values collected.

These values are further modelled on the basis of trends obtained from increases, decreases in the volume of work in the construction sector and then also on the basis of information from other administrative data sources such as press monitoring in the current and previous year.

Estimation of diesel fuel consumption in agriculture
The basis for the estimation of diesel consumption in agriculture is the detailed structure of the sowing area obtained from the statistical reports on sowing.

The data are calculated using the established diesel consumption norms for each selected crop.

The sum of these corresponds to the total diesel consumption in crop production.

The consumption for livestock production corresponds to 20 % of the calculated consumption from crop production.

Total agricultural consumption, excluding off-site transport and off-field work, corresponds to the sum of the consumption of crop and livestock production.

Estimation of final district heat consumption
In the case of small enterprises with less than 20 employees, an estimate of district heat consumption is made.

The results of the EP 5-01 survey are used as a basis.

These results are adjusted by estimation using indices.

In the case of the construction sector, the average temperature between the current and the previous year is used for the indices, and then the construction production index coming from the construction department of the CSO.

In the case of the agricultural sector, consumption is estimated based on the average temperature between the current and the previous year and then on the agricultural production index coming from the Agriculture and Forestry Department of the CSO.

In the case of the commercial and public sector, the indices consider the temperatures in the previous and current year and then the annual aggregation index of district heating consumption coming from ERO data.

 See table under 14.1.3.

The first preliminary results from the annual statistical returns are available at the end of the 5th month after the end of the reference period.

In the case of monthly statistics, the first preliminary estimates and results are available at the earliest on the 16th day after the end of the previous month. 

Final results from the annual statistical returns are not available until the end of the 9th month after the end of the reference period.

For monthly statistics, the final results are available on the 24th day after the end of the previous month. 

A publication calendar has been created for the publication of data and national outputs.

All deadlines are met, data and output are sent regularly with several days' notice.

International outputs are also sent on a regular basis within the deadlines set.

There is 0 days delay in all outputs.

Data is comparable with other Member states; the same concepts are used within the whole national territory.

Not requested for this metadata collection.

In 2010, in case of transformation sector some of the time series were interrupted because of data revision, which was undertaken as a result of availability of new, better data.

Time series of other part of energy data like sources, final consumption are comparable from 1990.

Data for RES are fully comparable since 2003.

In case of transformation sector there is comparable time serie 11 years

In other energy data there is comparable 31 years

Data is coherent.

Monthly and annual statistics are coherent during whole year.

Monthly data and outputs are one of the bases for calculating annual data.

Data are coherent in all fuels and energy.

At the end of the year, slight deviations of up to 3% between monthly and annual figures can be found in a few fuel and energy cases.

These deviations are due to the refinement of the annual data with additional data sources.

In addition, there may be exceptional changes to the data in the monthly returns in terms of corrections to the data by individual respondents.

In the case of national accounts, data from energy statistics serve as source data for calculations in the relevant area.

In particular, these are data on fuel and energy consumption in each of the 2 to 4 CZ-NACE sectors.

Data from energy statistics are tracked in units of measurement.

The national accounts track data in monetary terms.

There is therefore a risk of converting values from units of measurement into monetary terms.

It is necessary to use the correct unit price of the fuel and energy in question.

In the case of annual consumption, it is very difficult to determine the average unit price.

This can lead to inconsistencies between data from national accounts and data from energy statistics.

For some fuels, in order to convert them into monetary terms, it is necessary to first use the value of the correctly determined calorific value for the calculation.

Data is coherent.

The Czech Statistical Office estimates the burden on respondents in hours.

Link to revision policy,practice: https://www.czso.cz/csu/czso/key_documents, covering, Annual Statistical form on Fuels Sources and Fuels Distribution (EP 7-01), Annual Statistical form on Production and Distribution of Electrical Energy and Heat (EP 10-01), Annual Statistical form on Fuels and Energy Consumption and Fuels Stocks (EP 5-01), Annual Statistical form on Fuels Refining Energy Processes (EP 8-01), Annual Statistical form on Fuels and Energy Consumption for the Production of Selected Products (EP 9-01), Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Refineries and Petroleum Products Manufacturers (EPR 1-12), Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Commercial and Storage Operators and End-users (EPS 1-12), Eng (MPO) 4-01 Annual form - Renewables and wastes

Annual Statistical form on Fuels Sources and Fuels Distribution (EP 7—01) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year data are considered to be preliminary, previous reference year data are revised and are considered to be definitive. Annual Statistical form on Production and Distribution of Electrical Energy and Heat (EP 10-01) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year data are considered to be preliminary, previous reference year data are revised and are considered to be definitive. Annual Statistical form on Fuels and Energy Consumption and Fuels Stocks (EP 5-01) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year data are considered to be preliminary, previous reference year data are revised and are considered to be definitive. Annual Statistical form on Fuels Refining Energy Processes (EP 8-01) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year data are considered to be preliminary, previous reference year data are revised and are considered to be definitive. Annual Statistical form on Fuels and Energy Consumption for the Production of Selected Products (EP 9-01) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year data are considered to be preliminary, previous reference year data are revised and are considered to be definitive. Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Refineries and Petroleum Products Manufacturers (EPR 1-12) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year monthly data are considered to be preliminary, previous reference year monthly data are revised (and replenished with correction statistical forms) and are considered to be definitive. Monthly Statistical form on Crude Oil, Petroleum Products and Biofuels for Commercial and Storage Operators and End-users (EPS 1-12) - Historical data are revised on the basis of newly available data from administrative or reporting sources and on the basis of expert consultations with reporting units. Reference year monthly data are considered to be preliminary, previous reference year monthly data are revised (and replenished with correction statistical forms) and are considered to be definitive. Eng (MPO) 1—12, Monthly form — Solid fuels - No revisions are necessary, data are correct. Eng (MPO) 4—01, Annual form — Renewables and wastes - It is still necessary to revise historical data for 1990-2002 (Biomass and Biogas). Eng (MPO) 5—01, Annual form — Production and supply of electricity, heat and gases - No revision policy is necessary. Eng (MPO) 6—12 Monthly form — Liquid biofuels - No revision policy is necessary. ENERGO - Household Energy Consumption Sample Survey - Not available. Annual form on Sectoral Indicators in Forestry (Les 8-01) - Historical data are not revised.

Not requested for this metadata collection.

The bulk of the data used and reported is obtained through statistical reporting.

Several additional administrative data sources are used for the full compilation of the data.

These are mainly the Annual Reports from the EnergyRegulatory Office, which provide detailed information on electricity and gas.

In addition, data from the Czech Hydrometeorological Institute, the so-called REZZO, where additional data on boilers and other combustion plants can be found.

For the refinement of data in the transport sector, data from the Technical Inspections and the Vehicle Register are used where there can be find data on the types and distribution of each type of car, data on the type of fuel consumed, average fuel consumption and other characteristics.

See table under 18.2.1.

Statistical forms used in the surveys: EPR 1-12, EPS 1-12, EP 5-01, EP 7-01, EP 8-01, EP 9-01, EP 10-01, Eng (MPO) 1-12, Eng (MPO) 4-01, Eng (MPO) 5-01, Eng (MPO) 6-12, ENERGO, Les 8-01

Data collection methods: Electronic statistical forms, web statistical forms, printed statistical forms. Starting in 2013, printed questionnaires were made available only to those respondents who could not be contacted electronically and were available upon request.

The ENERGO survey for households is carried out by trained questioners.

Non-response treatment: Phone, email or postal reminders. The activity starts the next day after the deadline for submission of replies to the questionnaires. Fines can be imposed upon non-responding units. The related processes are regulated by internal Directive.

See table under 18.4.1.

See table under 18.5.2.

Not requested for this metadata collection

Currently no adjustments are performed.

Currently no adjustments are performed.