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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Federale Overheidsdienst Economie, K.M.O., Middenstand en Energie |
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1.2. Contact organisation unit | Energiemonitoring & Electriciteitssysteem |
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1.5. Contact mail address | North Gate, Boulevard Albert II 16, 1000 Bruxelles |
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2.1. Metadata last certified | 18/07/2022 | ||
2.2. Metadata last posted | 15/06/2022 | ||
2.3. Metadata last update | 15/06/2022 |
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3.1. Data description | ||||
European statistics on electricity prices for household and final non-household customers. |
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3.2. Classification system | ||||
Internal Eurostat classification system based on annual electricity consumption bands and tax levels. |
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3.3. Coverage - sector | ||||
Household sector and final non-household sector (industry, services, offices, agriculture, etc). |
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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:
For the final non-household sector, the bands are:
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:
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:
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"
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3.5. Statistical unit | ||||
Household and final non-household consumers divided into consumption bands. |
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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. |
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3.7. Reference area | ||||
The whole country |
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3.8. Coverage - Time | ||||
Electricity prices data for Belgium are available since 2006. |
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3.9. Base period | ||||
Not applicable. |
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Prices are reported in national currency per kWh. However, Eurostat also calculates and publishes the prices in EURO and PPS (purchasing power parity). |
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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). |
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6.1. Institutional Mandate - legal acts and other agreements | |||
At EU level:
At national level:
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6.2. Institutional Mandate - data sharing | |||
At EU level:
At national level:
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7.1. Confidentiality - policy | |||
At EU level:
At national level:
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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. |
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8.1. Release calendar | |||
There is no release calendar. We base ourselves on the calendar of Eurostat. |
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8.2. Release calendar access | |||
There is no release calendar. |
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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). |
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Electricity prices in Belgium are published on a semestrial basis on Eurostat's website. |
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10.1. Dissemination format - News release | |||
There is no news release. |
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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) |
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10.3. Dissemination format - online database | |||
There is no accessible on-line national database. |
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10.3.1. Data tables - consultations | |||
not applicable |
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10.4. Dissemination format - microdata access | |||
There is no microdata access. |
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10.5. Dissemination format - other | |||
The Belgian aggregate data can be consulted at the Eurostat website. |
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10.5.1. Metadata - consultations | |||
There is no metadata published at national level. |
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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 |
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10.6.1. Metadata completeness - rate | |||
Not applicable |
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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 |
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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 |
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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 |
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12.1. Relevance - User Needs | |||
Eurostat is our main user. |
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12.2. Relevance - User Satisfaction | |||
User satisfaction is quantified through Eurostat surveys. |
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12.3. Completeness | |||
The datasets are complete |
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12.3.1. Data completeness - rate | |||
100% |
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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. |
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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. |
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13.2.1. Sampling error - indicators | |||
not assessed but considered as negligible |
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13.3. Non-sampling error | |||
Information is included in the sub-concepts S.13.3.1-S.13.3.5. |
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13.3.1. Coverage error | |||
There is no coverage error. |
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13.3.1.1. Over-coverage - rate | |||
There is no over-coverage error. |
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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). |
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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. |
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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. |
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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. |
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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. |
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13.3.4. Processing error | |||
There is no processing error. |
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13.3.5. Model assumption error | |||
Not Applicable. |
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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. |
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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. |
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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. |
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14.2. Punctuality | |||
The legal deadline for submitting the questionnaires is the third month after the reference period. |
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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. |
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15.1. Comparability - geographical | |||
There is no problem of comparability over countries or regions. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable |
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15.2. Comparability - over time | |||
There have been some changes but not enough to warrant the designation of a break in series |
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15.2.1. Length of comparable time series | |||
The data is comparable since 2006 (26 cycles) |
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15.3. Coherence - cross domain | |||
Not applicable |
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15.3.1. Coherence - sub annual and annual statistics | |||
Not applicable |
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15.3.2. Coherence - National Accounts | |||
Not applicable |
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15.4. Coherence - internal | |||
Annual prices are coherent with the semestrial prices. |
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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; Estimation of man-days to collect, validate, compile and send the data: approximately 40% of a full time man-year for the statistician. |
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17.1. Data revision - policy | |||
Revision policy There are 3 types of revisions :
A planning of revisions is established conform the European legislation andd the annual work programme. |
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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. |
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17.2.1. Data revision - average size | |||
Household electricty prices collection: 0 Non-household electricity prices collection: 0 |
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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). |
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18.2. Frequency of data collection | |||
Bi-annual |
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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 |
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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. |
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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 |
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18.5.1. Imputation - rate | |||
Currently no calculations available. |
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18.6. Adjustment | |||
Adjustments are not carried out. |
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18.6.1. Seasonal adjustment | |||
Seasonable adjustments are not carried out. |
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