Electricity prices for household consumers - bi-annual data (from 2007 onwards) (nrg_pc_204)

National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Federale Overheidsdienst Economie, K.M.O., Middenstand en Energie


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)
 



For any question on data and metadata, please contact: Eurostat user support

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1. Contact Top
1.1. Contact organisation

Federale Overheidsdienst Economie, K.M.O., Middenstand en Energie

1.2. Contact organisation unit

Energiemonitoring & Electriciteitssysteem

1.5. Contact mail address

North Gate, Boulevard Albert II 16, 1000 Bruxelles


2. Metadata update Top
2.1. Metadata last certified 18/07/2022
2.2. Metadata last posted 15/06/2022
2.3. Metadata last update 15/06/2022


3. Statistical presentation Top
3.1. Data description

European statistics on electricity prices for household and final non-household customers.

3.2. Classification system

Internal Eurostat classification system based on annual electricity consumption bands and tax levels.

3.3. Coverage - sector

Household sector and final non-household sector (industry, services, offices, agriculture, etc).

3.4. Statistical concepts and definitions

The prices are reported in national currencies per kWh and according to different bands of consumption.

The yearly consumption volumes are, on condition that they are not confidential, reported in percentage and according to the same bands of consumption.  

For the household sector, these bands are:

  • DA: customers consuming less than 1000 kWh.
  • DB: customers consuming 1000 kWh or more but less than 2500 kWh.
  • DC: customers consuming 2500 kWh or more but less than 5000 kWh.
  • DD: customers consuming 5000 kWh or more but less than 15000 kWh.
  • DE: customers consuming 15000 kWh or more.

For the final non-household sector, the bands are:

  • IA: customers consuming less than 20 MWh.
  • IB: customers consuming 20 MWh or more but less than 500 MWh.
  • IC: customers consuming 500 MWh or more but less than 2000 MWh.
  • ID: customers consuming 2000 MWh or more but less than 20000 MWh.
  • IE: customers consuming 20000 MWh or more but less than 70000 MWh.
  • IF: customers consuming 70000 MWh or more but less than 150000 MWh.
  • IG: customers consuming 150000 MWh or more.

There exist 2 different levels of disagregation for semestrial and annual prices:

1- Semestrial prices:

These prices are reported twice a year and are divided in 3 levels:

  • Level 1 prices: prices excluding taxes and levies.
  • Level 2 prices: prices excluding VAT and other recoverable taxes and levies.
  • Level 3 prices: prices including all taxes and levies.

2- Annual prices:

These prices are reported once a year together with the data for the second semester and are divided into the following components and taxes:

  • Energy and supply: generation, aggregation, balancing energy, supplied energy costs, customer services, after-sales management and other supply costs.
  • Network cost: transmission and distribution tariffs, transmission and distribution losses, network costs, after-sale service costs, system service costs, and meter rental and metering costs.
  • Value added taxes (VAT): as defined in Council Directive 2006/112/EC.
  • Renewable taxes: taxes, fees, levies or charges relating to the promotion of renewable energy sources, energy efficiency and CHP generation.
  • Capacity taxes: Taxes, fees, levies or charges relating to capacity payments, energy security and generation adequacy; taxes on coal industry restructuring; taxes on electricity distribution; stranded costs and levies on financing energy regulatory authorities or market and system operators.
  • Environmental taxes: taxes, fees, levies or charges relating to air quality and for other environmental purposes; taxes on emissions of CO2 or other greenhouse gases. This component includes the excise duties.
  • Nuclear taxes: taxes, fees, levies or charges relating to the nuclear sector, including nuclear decommissioning, inspections and fees for nuclear installations.
  • All other taxes: taxes, fees, levies or charges not covered by any of the previous five categories: support for district heating; local or regional fiscal charges; island compensation; concession fees relating to licences and fees for the occupation of land and public or private property by networks or other devices.

In addition to these elements, the network cost is split into the respective shares of transmission and distribution. The relative share of consumption in the different consumption bands is reported by the countries and used to calculated the single national electricity prices (weighted averages for consumer bands IA-IF and DA-DE) but not published because it could be used to re-calculate some confidential values.

Only the VAT for non-households customers is recoverable.

In the table below are the taxes reported in "All other taxes"

Band Name of the tax
 

1) Part of "the energy contribution" is destined for the finance of 'social measures'. This part belongs to "all other taxes".

2) Not all taxes are identifiable. Their amount is caculated in an indirect way (substraction of all identifiable taxes from the total tax). The result is added to "all other taxes".     

3.5. Statistical unit

Household and final non-household consumers divided into consumption bands.

3.6. Statistical population

Household customers: Data coming from 9 suppliers out of 60 (hh and non-hh) and representing >90% % of the household customers.

Final non-household customers: Data coming from 16 suppliers out of 60 and representing >90% of the final non-household customers.

3.7. Reference area

The whole country

3.8. Coverage - Time

Electricity prices data for Belgium are available since 2006.

3.9. Base period

Not applicable.


4. Unit of measure Top

Prices are reported in national currency per kWh. However, Eurostat also calculates and publishes the prices in EURO and PPS (purchasing power parity).
Relative shares of sub-component of the network component and consumption volumes are reported in percentages.


5. Reference Period Top

For semestrial prices, the reference periods are from January to June for semester 1 and from July to December for semester 2.

For annual prices, the reference period is the whole calendar year (from January to December).


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

At EU level:

  • Regulation (EU) 2016/1952 of the European Parliament and of the Council of 26 October 2016 on European statistics on natural gas and electricity prices and repealing Directive 2008/92/EC (Text with EEA relevance).
  • Commission Implementing Regulation (EU) 2017/2169 of 21 November 2017 concerning the format and arrangements for the transmission of European Statistics on natural gas and electricity prices pursuant to Regulation (EU) 2016/1952 of the European Parliament and of the Council (Text with EEA relevance).
  • Commission Implementing Decision (EU) 2018/1734 of 14 November 2018 granting derogations to the Federal Republic of Germany, the Kingdom of Spain, the Italian Republic and the Republic of Cyprus as regards the provision of statistics pursuant to Regulation (EU) 2016/1952 of the European Parliament and of the Council (notified under document C(2018) 7465) (Text with EEA relevance).
  • Commission Implementing Regulation (EU) 2019/803 concerning the content of quality reports on European statistics on natural gas and electricity prices pursuant to Regulation (EU) 2016/1952 of the European Parliament and of the Council (Text with EEA relevance).

At national level:

  • Koninklijk besluit (6 januari 2019) houdende de organisatie van de inzameling van gegevens inzake de opstelling van de aardgas-, elektriciteits- en warmtebalans en de opstelling van statistieken over de prijzen van aardgas en elektriciteit. (Royal decree (6 January 2019) on the organisation of the data collection for the establishment of statistics on gas, electricity and heat balance and the establishment of price statistics on gas and electricity.)
6.2. Institutional Mandate - data sharing

At EU level:

  • Eurostat does not share the data collected with other organisation appart from its usual dissemination chanel (Eurostat's database, statistic explained articles and press or news release) .

At national level:

  • Data is sent to eurostat.
  • The same data that are sent to Eurostat are shared with Belgian stakeholders on demand.


7. Confidentiality Top
7.1. Confidentiality - policy

At EU level:

At national level:

7.2. Confidentiality - data treatment

Published price data do not allow identification of single consumers.

The price statistics are based on aggregated data that have been sent by electricity suppliers in the context of a survey in which participation is obligatory above a threshhold.

In the case of price data, for each consumer band , there are enough companies and no company has a dominant market share.

In the case of consumption volumes (in %), the data of consumption bands IE, IF and IG are kept confidential.   

Micro-data are kept secret.  


8. Release policy Top
8.1. Release calendar

There is no release calendar.

We base ourselves on the calendar of Eurostat.

8.2. Release calendar access

There is no release calendar.  

8.3. Release policy - user access

Stakehoders can be (on demand) provided with the same aggregate data that heve been sent to Eurostat (once these data have been valildated by Eurostat).


9. Frequency of dissemination Top

Electricity prices in Belgium are published on a semestrial basis on Eurostat's website.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

There is no news release.

10.2. Dissemination format - Publications

Key data (Annual publication of morst important energy statistics).(https://economie.fgov.be/nl/publicaties/energy-key-data-juli-2021)

10.3. Dissemination format - online database

There is no accessible on-line national database.

10.3.1. Data tables - consultations

not applicable

10.4. Dissemination format - microdata access

There is no microdata access.

10.5. Dissemination format - other

The Belgian aggregate data can be consulted at the Eurostat website. 

10.5.1. Metadata - consultations

There is no metadata published at national level.

10.6. Documentation on methodology

The documentation on methodology is, at the current time, only available in a manual that has been written in Dutch. 



Annexes:
Manual
10.6.1. Metadata completeness - rate

Not applicable

10.7. Quality management - documentation

The documentation on methodology is, at the current time, only available in a manual that has been written in Dutch. 



Annexes:
Manual


11. Quality management Top
11.1. Quality assurance

The statistics on Electricity and Gas prices are fundamentally based on surveys with electricity and gas providers. We assure the quality of our data basically through

1) Assuring the representativity of the sample of providers that are obliged to participate in the survey.

2) Giving the providers written methodolgical instructions on how to answer the survey.

3) Controling the qualilty of the surveyed data

4) To give feed back to the providers in order to enhance the quality of the survey

5) To make necessary corrections (extreme case will be omitting the survey data of a provider if these data are deemed unreliable.    

 

With regard to the separating out of taxes in subcategories we make use of "adiminstrative data". We assure the quality of these data through

1) Our effort to collect the available relevant administrative data

2) Our effort to make realistic and refined assumptions on how to combine these administrative data with the survey data

3) Controling the consistency of the results obtained



Annexes:
Manual
11.2. Quality management - assessment

The statistics on Electricity and Gas prices are fundamentally based on surveys with electricity and gas providers. We manage the quality of our data basically through

1) Assuring the representativity of the sample of providers that are obliged to participate in the survey.

2) Giving the providers written methodolgical instructions on how to answer the survey.

3) Controling the qualilty of the surveyed data

4) To give feed back to the providers in order to enhance the quality of the survey

5) To make necessary corrections (extreme case will be omitting the survey data of a provider if these data are deemed unreliable.    

 

With regard to the separating out of taxes in subcategories we make use of "adiminstrative data". We manage the quality of these data through

1) Our effort to collect the available relevant administrative data

2) Our effort to make realistic and refined assumptions on how to combine these administrative data with the survey data

3) Controling the consistency of the results obtained 



Annexes:
Manual


12. Relevance Top
12.1. Relevance - User Needs

Eurostat is our main user.

12.2. Relevance - User Satisfaction

User satisfaction is quantified through Eurostat surveys. 

12.3. Completeness

The datasets are complete

12.3.1. Data completeness - rate

100%


13. Accuracy Top
13.1. Accuracy - overall

A potential source of inaccuracy could be the fact that the smallest suppliers (cutt-off sampling) are not obliged to participate in the survey. However (1) their aggregate market share is so low (<10%) and the level of price competition is so high that we are confident that this potential source of inaccuracy is negligible.

Another potential source of inaccuracy could be the quality of the provided surveydata. This risk is encountered by a systematic effort to detect and to correct such errors.

13.2. Sampling error

A potential source of inaccuracy could be the fact that the smallest suppliers (cutt-off sampling) are not obliged to participate in the survey. However (1) their aggregate market share is so low (<10%) and the level of price competition is so high that we are confident that this potential source of inaccuracy is negligible.

13.2.1. Sampling error - indicators

not assessed but considered as negligible

13.3. Non-sampling error

Information is included in the sub-concepts S.13.3.1-S.13.3.5.

13.3.1. Coverage error

There is no coverage error. 

13.3.1.1. Over-coverage - rate

There is no over-coverage error. 

13.3.1.2. Common units - proportion

For the first semester statistics: 100% of the datapoints are 100% based on survey data.

For the second semester: 44,4% of the datapoints are 100% based on survey data and 55,5 % are partially based on survey data (calcluation of the total tax) and partially based on adminstrative data (imputation on total tax).  

13.3.2. Measurement error

Mistakes can be made by reporting enterprises in the reporting prices. Data from the data suppliers are analysed in a critical way and incorrect data are adjusted after contacting the concerned data supplier.

13.3.3. Non response error

The weight of an enterprise that has not responded to the survey (or that had to be refused because of quality problems) is set to zero.

13.3.3.1. Unit non-response - rate

0%. All suppliers having at least 2% market share in at least one relevant sub-market are legally obliged to participate in the questionnaire.

13.3.3.2. Item non-response - rate

0%. All suppliers having at least 2% market share in at least one relevant sub-market are legally obliged to participate in the questionnaire for all items.

13.3.4. Processing error

There is no processing error.

13.3.5. Model assumption error

Not Applicable.


14. Timeliness and punctuality Top
14.1. Timeliness

Electricity providers that participate in the national data collection are requested to provide the electricity price data within 2 months after the reference period. After arrival, the statistical office checks the micro-data for correctness, consistency and completeness and national averages are calculated and reported to Eurostat during the third month after the reference period.

14.1.1. Time lag - first result

The first version of the electricity price questionnaire for households for the 1st semester of 2019 was sent 94 days after the reference period.

The first version of the electricity price questionnaire for households for the 2nd semester of 2019 was sent 91 days after the reference period.

The first version of the electricity price questionnaire for households for the 1st semester of 2020 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for households for the 2nd semester of 2020 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for households for the 1st semester of 2021 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for households for the 2nd semester of 2021 was sent 90 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2019 was sent 94 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2019 was sent 91 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2020 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2020 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2021 was sent 89 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2021 was sent 90 days after the reference period.

14.1.2. Time lag - final result

The final result of 2019S1 HH and 2019S1 nonHH was sent 140 days after the reference period. 

The final result of 2019S2 HH and 2019S2 nonHH was sent 93 days after the reference period.  

14.2. Punctuality

The legal deadline for submitting the questionnaires is the third month after the reference period.

14.2.1. Punctuality - delivery and publication

The first version of the electricity price questionnaire for households for the 1st semester of 2019 was sent [94] days after the reference period.

The first version of the electricity price questionnaire for households for the 2nd semester of 2019 was sent [91] days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2019 was sent [94] days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2019 was sent [91] days after the reference period.

The final result of 2019S1 HH and 2019S1 nonHH was sent 140 days after the reference period. 

The final result of 2019S2 HH and 2019S2 nonHH was sent 93 days after the reference period.  


15. Coherence and comparability Top
15.1. Comparability - geographical

There is no problem of comparability over countries or regions. 

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable

15.2. Comparability - over time

There have been some changes but not enough to warrant the designation of a break in series

15.2.1. Length of comparable time series

The data is comparable since 2006 (26 cycles)

15.3. Coherence - cross domain

Not applicable

15.3.1. Coherence - sub annual and annual statistics

Not applicable

15.3.2. Coherence - National Accounts

Not applicable

15.4. Coherence - internal

Annual prices are coherent with the semestrial prices.


16. Cost and Burden Top

We do our best to maximise cost efficiency. One of the sub-strategies is to avoid bureaucratic procedures as much as  possible.

• The range and detail of data collected by survey is limited to what is absolutely necessary;
• Administrative and other survey sources are used to the fullest extent possible; 
• Data collection by e-mail;
• Best estimates and approximations are accepted when exact details are not readily available;
• The reporting burden on individual respondents is limited to the extent possible by minimizing the overlap with other surveys.

Estimation of man-days to collect, validate, compile and send the data: approximately 40% of a full time man-year for the statistician.  


17. Data revision Top
17.1. Data revision - policy

Revision policy

There are 3 types of revisions :

  1. Revisions of provisional figures: carried out, according to a predefined scheme, following the availability of new (more complete) figures.
  2. Revisions as a consequence of changes in methodology. (much less frequent) (generally result in a rupture of timeseries. Such revisions can be necessited by:
  • changes of concepts, definitions, classifications or de international norms ;
  • modification of a legal base ;
  • modification of methodology or approach ;
  • new data sources;
  • technical or managerial changes ;
  • actualisation of a reference weight scheme.
  1. Corrections of errors (errors in survey or administrative data, wrong hypotheses, calculation errors, etc...) are ad hoc revisions.      

A planning of revisions is established conform the European legislation andd the annual work programme.

17.2. Data revision - practice

At the same tame that semester statistics are compiled there is a relatively high probability of revising the statistics of the previous semester. This is because of the fact that the actual data will always be compared with the data of the previous 2 semesters. If there would have been undetected errors or "arbitrary quality decisions" that are not upheld in the following semester, then the figures of the previous semesters will be revised. The clear advantage of this process is that the information relevance of the actual statistics will be enhanced if they can be compared with previous data in a reliable way.

17.2.1. Data revision - average size

Household electricty prices collection: 0

Non-household electricity prices collection: 0


18. Statistical processing Top
18.1. Source data

The source data for all data points, except the yearly tax subcategories, are survey data.

The yearly tax subcategories (except vat) are based on adiminstrative data. 

For the first semester statistics: 100% of the datapoints are 100% based on survey data.

For the second semester: 44,4% of the datapoints are 100% based on survey data and 55,5 % are partially based on survey data (calcluation of the total tax) and partially based on adminstrative data (imputation on total tax).

18.2. Frequency of data collection

Bi-annual

18.3. Data collection

Cut-off sampling (every provider which has at least 2% market share in at least one relevant sub-market is legally obliged to participate in the questionnaire.) 



Annexes:
Example of questionnaire
18.4. Data validation

Validation activities include: checking that the population coverage and response rates are as required; comparing the statistics with previous cycles; confronting the statistics against other relevant data (both internal and external); investigating inconsistencies in the statistics; outlier detection.

18.5. Data compilation

All statistical vairiables (except the tax subcategories that have to be provided once a year) are calculated as a weighted arithmetic mean of the same variables that have been surveyed by the providers.

Each provider has of weight for each consumption segment, that is based on its market share (in physical terms) for that segment.  



Annexes:
Manual
18.5.1. Imputation - rate

Currently no calculations available.

18.6. Adjustment

Adjustments are not carried out.

18.6.1. Seasonal adjustment

Seasonable adjustments are not carried out.


19. Comment Top


Related metadata Top


Annexes Top