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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Sweden |
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1.2. Contact organisation unit | Agriculture and Energy Unit |
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1.5. Contact mail address |
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2.1. Metadata last certified | 13/07/2022 | ||
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. 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. |
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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 | |||
The target population consists of all companies active at the market for household and final non-household consumers. A cut off approach is used for surveying the population. There should be 75% of the market over the cut off limit, where 13 suppliers are surveyed. |
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3.7. Reference area | |||
National level |
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3.8. Coverage - Time | |||
Electricity prices data for Sweden are available since 1997. |
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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 data should not allow identification of single consumers or single companies. Since the data published is aggregated prices and no single quantity is published, no method for disclosure protection is used. |
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8.1. Release calendar | |||
The release calender is available at the official web site for Statistics Sweden. At the web page for the survey the next date for publishing is announced. |
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8.2. Release calendar access | |||
8.3. Release policy - user access | |||
Statistics is published on Statistics Sweden’s web site, aimed at the public. Dissemination is thereby conducted to all users at the same time. |
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Electricity prices in Sweden are published on a semestrial basis on Eurostat's website. At Statistics Sweden’s web site the data is published on a semestrial basis. |
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10.1. Dissemination format - News release | |||
No news release |
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10.2. Dissemination format - Publications | |||
No news release |
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10.3. Dissemination format - online database | |||
No news release but the data is published on Statistics Swedens website. |
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10.3.1. Data tables - consultations | |||
Not applicable |
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10.4. Dissemination format - microdata access | |||
The microdata may be available by request for researchers after a confidentiality vetting procedure. The Public Access to Information and Secrecy Act protects data for individual respondents (microdata), but it is possible to apply for access to data for research or statistical purposes. The general policy of Statistics Sweden is to conduct a confidentiality vetting for every request of microdata releases. When access to microdata is granted, data will be compiled by the responsible department and delivered to the user in a secure way. |
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10.5. Dissemination format - other | |||
Not applicable |
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10.5.1. Metadata - consultations | |||
Metadata not available |
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10.6. Documentation on methodology | |||
Metadata not available |
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10.6.1. Metadata completeness - rate | |||
Not applicable |
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10.7. Quality management - documentation | |||
Documents regarding quality management are available on Statistics Sweden’s website https://www.scb.se/hitta-statistik/statistik-efter-amne/energi/prisutvecklingen-inom-energiomradet/energipriser-pa-naturgas-och-el/ |
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11.1. Quality assurance | |||
The quality assurance framework at Statistics Sweden is in line with the ISO 20252 standard. Use of best practices is endorsed by requirements on the Business Support System. Quality reviews with compliance monitoring are performed for a sample of surveys and processes continuously. |
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11.2. Quality management - assessment | |||
The general quality of this survey is of satisfactory standard. In an effort to improve the quality, the survey will be altered in the near future. The most glaring problems in producing the statistics are time constraints and constraints in resources and personnel. Administration has been harmonized and more time spent improving the survey. Lastly, it has created more time for the staff to go more in depth in understanding the market. |
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12.1. Relevance - User Needs | |||
This survey fills an important role for Statistics Sweden regarding prices. There are similar surveys that track offered prices for a specific time-period but this survey tracks de facto prices for that specific time-period. Important users are the Swedish Energy Agency, the Swedish Energy Markets Inspectorate and companies in the industry. The main use is to follow the price development within the electricity market. Other main users are social services and housing societies using data for determining cost of living.
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12.2. Relevance - User Satisfaction | |||
No systematic measure is in place at Statistics Sweden but we accept e-mails and suggestions put forth in such a manner. |
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12.3. Completeness | |||
Sweden is able to provide all the data requested by the relevant regulations and guidelines |
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12.3.1. Data completeness - rate | |||
100 % |
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13.1. Accuracy - overall | |||
The human error is mostly at fault for possible errors in the survey. These errors are corrected before publication by asking for revised information if the errors are detectable (i.e break a pattern) or are outside an acceptance interval (i.e. developing contrary to the rest of the market). The big source of inaccruacy is that the population of the survey might be non-representative. |
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13.2. Sampling error | |||
This survey is not a sample survey |
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13.2.1. Sampling error - indicators | |||
Not applicable |
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13.3. Non-sampling error | |||
Errors might occur due to the market shifting, since the scope of the survey is based on historical figures (the included objects might not reach 75 % coverage a given year due to market changes). If a suspected measurement value is detected the respondent is asked to revise or comment why the information provided is accurate. Information is included in the sub-concepts S.13.3.1-S.13.3.5.
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13.3.1. Coverage error | |||
Under coverage errors might occur due to lack of update regarding the frame of the survey. As it stands it has not been updated since 2007 and is now updated every year. |
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13.3.1.1. Over-coverage - rate | |||
No known over-coverage rate. |
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13.3.1.2. Common units - proportion | |||
100% of the data is collected by the survey except regarding taxes. |
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13.3.2. Measurement error | |||
Possible measurement errors might come from the respondents adding taxes to the prices. Revising scripts and understanding the process is vital in minimizing this kind of errors. |
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13.3.3. Non response error | |||
The level of unit non-response is 5-10%, i.e. roughly 2 companies. The weighted rate of unit non-response is probably much lower, since non-response objects are small. In estimation, non-response is considered to be random, and no adjustments are done. The non-response bias is probably small. No breakdown of non-response is possible due to lack of data. Estimating the effects on non-response is done by counterfactual analysis. I.e., would the time-series change if the respondent didn’t answer previous semester, if yes their value would be imputed for the current semester.
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13.3.3.1. Unit non-response - rate | |||
The level of unit non-response is 5–10%, i.e. roughly 2 companies. The weighted rate of unit non-response is probably much lower, since non-response objects are small. |
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13.3.3.2. Item non-response - rate | |||
All providers who responded to the survey provided all information required. |
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13.3.4. Processing error | |||
The processing errors hitherto have been due to taxes added to the respondents’ data and revised data being overwritten by original data. Rewriting the solutions and making them more robust has been implemented. |
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13.3.5. Model assumption error | |||
At the estimation of prices a model assumption is made that companies below the cut off limit are similar to companies over the limit. This might result in a model assumption error. |
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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 4 weeks 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 90 days after the reference period. The first version of the electricity price questionnaire for households for the 2nd semester of 2019 was sent 90 days after the reference period. The first version of the electricity price questionnaire for households for the 1st semester of 2020 was sent 90 days after the reference period. The first version of the electricity price questionnaire for households for the 2nd semester of 2020 was sent 90 days after the reference period. The first version of the electricity price questionnaire for households for the 1st semester of 2021 was sent 120 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 90 days after the reference period. The first version of the electricity price questionnaire for non-households for the 2nd semester of 2019 was sent 90 days after the reference period. The first version of the electricity price questionnaire for non-households for the 1st semester of 2020 was sent 90 days after the reference period. The first version of the electricity price questionnaire for non-households for the 2nd semester of 2020 was sent 60 days after the reference period. The first version of the electricity price questionnaire for non-households for the 1st semester of 2021 was sent 86 days after the reference period. The first version of the electricity price questionnaire for non-households for the 2nd semester of 2021 was sent 60 days after the reference period.
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14.1.2. Time lag - final result | |||
2019 and 2020 was within the deadline. No second version. 1st semester 2021 was was submitted with one month delay where as 2nd semster 2021 was within the deadline.
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14.2. Punctuality | |||
The legal deadline for submitting the questionnaires is the third month after the reference period. 5-10 % do not hand in information in time, to improve this survey should be sent out sooner so that the respondents can plan their time better. One reminder is sent when deadline has passed. Another reminder is sent 2 weeks after the deadline. Lastly if the company hasn´t sent the information required by that time phone calls are made to make contact with said company. |
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14.2.1. Punctuality - delivery and publication | |||
The legal deadline for submitting the questionnaires is the third month after the reference period. One delivery were not on time, according to 14.1.2 above. The reasons for delay was human errors with regarding to scripts handling the data. This problem did not alter the prices. |
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15.1. Comparability - geographical | |||
The data is comparable to data collected in other geographical areas. |
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15.1.1. Asymmetry for mirror flow statistics - coefficient | |||
Not applicable |
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15.2. Comparability - over time | |||
From 2007 a new method was used for calculating prices. Before 2007 the average price a specific day was collected and analyzed. After 2007 the data collected was the average price a given semester. This makes comparability over time fairly poor. A major modification of the sample frame of the survey was made in 2020 to increase the quality of inflow of data mainly by decreasing the undercoverage. |
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15.2.1. Length of comparable time series | |||
4 |
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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 | |||
Not applicable |
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The cost for production of this statistics is 200 000 Swedish crowns per year. There is no estimate regarding cost for the respondents. The survey keeps the questions needed to be answered to a bare minimum. The gathering of information is being made over the internet by our own web-based tool. |
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17.1. Data revision - policy | |||
The data is revised during semester 2. Statistics Sweden has a revision policy (in Swedish): https://www.scb.se/contentassets/99b579ae03d245c1a5700c12947746cf/revideringspolicy-2018.pdf |
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17.2. Data revision - practice | |||
The main reasons for revisions are revised data from the companies due to manual errors. |
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17.2.1. Data revision - average size | |||
Household electricity prices collection: 4.031697044 Non-household electricity prices collection: 161.3565977 |
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18.1. Source data | |||
The data is provided by the electricity companies. |
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18.2. Frequency of data collection | |||
Half-year intervals. |
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18.3. Data collection | |||
The data is collected via an online survey. The companies responding to this survey are given a username and a password. Via the login information they can reach Statistics Sweden’s web site and respond to the survey regarding electricity prices. |
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18.4. Data validation | |||
Data is validated by outlier detection and time series analysis both on a macro and a micro level. Lastly, there are surveys regarding price levels offered monthly which the data can be compared to for analisis and if the patterns diverge it calls for more investigation. |
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18.5. Data compilation | |||
The data is compiled by taking the weighted average price from the respondents and using outlet points and delivered quantites of electricity. |
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18.5.1. Imputation - rate | |||
Imputation for not responding companies has been made with last available data, the imputation rate is approximately 4%. |
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18.6. Adjustment | |||
If rounding errors or when wrong measurement have been used, an e-mail is sent to the respondent in question asking for confirmation and afterwards the error is manually corrected. |
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18.6.1. Seasonal adjustment | |||
Seasonable adjustments are not carried out. |
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