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: TurkStat, Turkish Statistical Institute


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)
 



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1. Contact Top
1.1. Contact organisation

TurkStat, Turkish Statistical Institute

1.2. Contact organisation unit

Sectoral Statistics Department

1.5. Contact mail address

Devlet Mahallesi Necatibey Cad. No:114 06420 Çankaya/Ankara


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.

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-IG and DA-DE).

3.5. Statistical unit

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

3.6. Statistical population

Household customers: Data coming from 78 suppliers out of 78 and representing 100% of the household customers.

Final non-household customers: Data coming from 101 suppliers out of 101 and representing 100% of the final non-household customers.

3.7. Reference area

The national territory of the Republic of Türkiye.

3.8. Coverage - Time

Electricity prices data for Turkey are available since 2013.

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 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:

  • No legal acts and other agreements at national level.
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.


7. Confidentiality Top
7.1. Confidentiality - policy

At EU level:

  • Regulation (EC) No 223/2009 of the European Parliament and of the Council, of 11 March 2009, on the transmission of data subject to statistical confidentiality to the Statistical Office of the European Communities.

At national level:

  • No legal acts and other agreements at national level.
7.2. Confidentiality - data treatment

Published data should not allow identification of single consumers.


8. Release policy Top
8.1. Release calendar

The date for publication of statistical information on prices is listed in the Release Calendar of Turkish Statistical Institute. Data on prices of electricity for household and final non-household customers is published three months after the reporting period.

8.2. Release calendar access

https://www.tuik.gov.tr/Kurumsal/Veri_Takvimi

8.3. Release policy - user access

Official statistics are presented in a clear and understandable manner, published in an appropriate and convenient manner, and are available and accessible, with metadata and guidance to support impartiality.
It is aimed to develop a user-oriented information distribution system in the production and distribution of statistics and to share them with the public through various communication tools and channels, especially the use of the internet and mobile applications.


9. Frequency of dissemination Top

Electricity prices of Türkiye are published twice a year at the NSI website and on a semestrial basis on Eurostat's website.


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

Electricity prices for both the household sector and industrial end-users are announced with a news release in homepage of TurkStat twice a year, in March and September.

10.2. Dissemination format - Publications

No other national publications related to the data.

10.3. Dissemination format - online database

There is no online database.

10.3.1. Data tables - consultations

Not applicable.

10.4. Dissemination format - microdata access

TurkStat does not give access to microdata related to electricity prices.

10.5. Dissemination format - other

Electricity prices by consumption bands tables are presented together with the news release.

10.5.1. Metadata - consultations

Not applicable.

10.6. Documentation on methodology

Methodology and metadata files are available at the TurkStat website, section Envirenment and Energy:

https://data.tuik.gov.tr/Kategori/GetKategori?p=cevre-ve-enerji-103&dil=1

10.6.1. Metadata completeness - rate

Not applicable.

10.7. Quality management - documentation

There is no quality report.


11. Quality management Top
11.1. Quality assurance

The Turkish Statistical Institute had a Quality Assurance Framework since 2015. TurkStat-QAF is based on the European Statistics Code of Practice. Within the framework of these principles and the institutional strategic plan, the entire statistical business process from the production of data to the dissemination is configured on a quality axis. In this context, studies are carried out with “Institutional Quality reports”, "Quality Logo" and "Quality Monitoring Audit Tool" ("QMAT").

As the coordinator of Turkish Statistical System, TurkStat has a mission to undertake quality reviews of official statistics which are produced within the framework of the Official Statistical Programme. TurkStat has been conducting a quality review, also called "Quality Logo", of official statistics produced by ONAs since 2015. The quality logo is a system in which official statistics are evaluated according to national quality principles based on the European Statistics Code of Practice (ES-CoP). As a result of these evaluations, improvement actions are defined and monitored regularly. These reviews not only improve the quality of official statistics, but also strengthen the cooperation and coordination role of TurkStat.

The output quality of statistics produced by TURKSTAT is monitored by producer and user-oriented quality reports and other quality assurance methods applied in the production process. In addition, a tool called "Quality Monitoring and Audit Tool" ("QMAT") was created in order to ensure the process-product quality and compliance with the ES-CoP principles of the official statistics produced by TURKSTAT.

11.2. Quality management - assessment

The quality of the electricity prices is assessed to be high.


12. Relevance Top
12.1. Relevance - User Needs

Users in Türkiye are suppliers and companies who compare their own prices with the published prices.

Data are also used from researchers and consultants for analyses and their studies.

No other information available for other users of these data, as they have free access to the website of TurkStat.

12.2. Relevance - User Satisfaction

No user satisfaction survey has been carried out for this dataset and there is no procedure for measuring user satisfaction.

12.3. Completeness

The datasets are complete.

12.3.1. Data completeness - rate

100%.


13. Accuracy Top
13.1. Accuracy - overall

Data is compiled from administrative records. Data are verified for each supplier. The comparative analyses are made with the data for previous periods. The overall accuracy of the statistic is therefore estimated to be high.

13.2. Sampling error

No sampling used as the data compiled from administrative records of all suppliers.

13.2.1. Sampling error - indicators

Not applicable.

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

The target population is household and nonhosehold consumers. Data is compiled from administrative records of Energy Market Regulatory Authority of Republic of Türkiye where all the licenced suppliers have to declare real invoiced prices that are paid by end-users.

Producers who are also suppliers are not covered, but their precentage is quite small. The coverage error is small as the divergence between the population frame and the target population is very small, and all kinds of unit are well represented.

13.3.1.1. Over-coverage - rate

No over-coverage.

13.3.1.2. Common units - proportion

100% of the data come from the administrative records.

13.3.2. Measurement error

Data providers recieve detailed instructions of how to report data for the statistic, which reduces measurement errors in reported data. Mistakes can be made by reporting suppliers while reporting prices. Data from the data suppliers are analysed in a critical way and incorrect data are corrected after contacting the concerned data supplier.

13.3.3. Non response error

Not relevant.

13.3.3.1. Unit non-response - rate

All licenced suppliers who are active legally obliged to fill the invoiced price forms.

13.3.3.2. Item non-response - rate

All suppliers provided information to all items.

13.3.4. Processing error

Electricity price forms for collecting primary data from the suppliers is Excel formatted and reported online. At national level we aggregate manually all data in Summary Excel file where national data (previously chechked and verified) are calculated by formulas, the process is almost fully automated. Thus no processing errors occurred.

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 1 month 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 89 days after the reference period.

The first version of the electricity price questionnaire for households for the 2nd semester of 2019 was sent 85 days after the reference period.

The first version of the electricity price questionnaire for households for the 1st semester of 2020 was sent 85 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 92 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 89 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2019 was sent 85 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2020 was sent 85 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 2nd semester of 2020 was sent 90 days after the reference period.

The first version of the electricity price questionnaire for non-households for the 1st semester of 2021 was sent 92 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

No revised data and no time lag.

14.2. Punctuality

The legal deadline for submitting the questionnaires is the third month after the reference period. All datasets have been submitted on time.

14.2.1. Punctuality - delivery and publication

All datasets have been submitted on time.


15. Coherence and comparability Top
15.1. Comparability - geographical

Good comparability as a unique methodology is in place that describes the collection of  electricity prices.

15.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

15.2. Comparability - over time

Electricity prices can be directly compared over time.

15.2.1. Length of comparable time series

Data is comparible from 2013 and onwards.

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

Not available.


17. Data revision Top
17.1. Data revision - policy

Revision Policy of TurkStat

Factors causing revision on statistical data are:

a) Changes in base year and reference year:

b) Benchmarking

c) Changes in source data

d) Changes in linked data

e) Changes in seasonal and calendar effects adjusted data

f) Changes in classifications, definitions and coverage

g) Changes in methodology, implementation and questionnaire structure

h) Change of the data source

i) Legal regulations

Revision types related to statistical data are:

a) Routine revisions: Revisions sourced by factors mentioned in the 6th article of this Directive, namely benchmarking, changes in source data, changes in linked data and seasonal and calendar effects adjusted data.

b) Major revisions: Revisions sourced by factors mentioned in the 6th article of this Directive, namely changes in base year and reference year, changes in classifications, definitions and coverage, changes in methodology, implementation and questionnaire structure, change of the data source and legal regulations.

Routine revision implementations

For statistics published annually or more frequently (monthly, quarterly, etc.), the routine revision implementations are divided into three sections such as enterprise, household and administrative registers by data source type.

(a) For surveys using enterprises/local units as major data source; in case of routine revision practices on monthly statistics, monthly data can be revised up to last two months and with the publication of the last data of the year, the data up to last three years can be revised. In case of routine revisions on quarterly statistics, quarterly data can be revised for up to last two quarters and at the end of each year the data up to last three years can be revised. In case of routine revision on annual statistics, data of up to last five years can be revised. In case of situations that partially affect the availability of the data (natural disasters, epidemics, etc.), with the Presidential approval it is possible to make revisions for the data of the relevant months, quarters or years when the missing data is completed.

(b) Routine revision is not implemented on non-adjusted data of surveys where the data source is households.

Routine revision is not implemented on price, consumer confidence and sectoral confidence indices.

Major revisions implementations 

(1) As major revisions are extensive revisions, they require an optimization taking the frequency, size and coverage of the revision into account. For this reason, it is essential to carry out a major revision at once by considering all other potential revisions.

(2) Both revised and non-revised versions of the data are monitored by the subject matter unit for at least one year to measure the effects of factors mentioned in the 6th article of this Directive, except for legal regulations. After determining this effect, it is decided to be revised or not (For example; tracking the changes in Household Labour Force Survey by simultaneous implementation and double coding in business statistics)

(3) In case of an average absolute percentage revision size of 1% or below calculated for revision length and depth determined in the revision information form, major revisions are implemented but not announced to the public.

(4) In order to ensure the consistency of the time series of data, the data produced according to the previous definition is back casted to be aligned with the revised data. If information in accordance with the revision definition is available from previous year’s data set, then back casting with micro technique would be carried out. In cases which information in accordance with the revision definition is not available back casting is carried out by macro or model based techniques. In the back casting process, subject matter unit asks for the opinion of Methodology Department.

 

No revision is needed or planned for electric prices.

17.2. Data revision - practice

No revised data and no planned revision of data. 

17.2.1. Data revision - average size

Household electricty prices collection: 0

Non-household electricity prices collection: 0.00395659


18. Statistical processing Top
18.1. Source data

Electricity price data for household and final non–household consumers are obtained from The Electricity Generation Company, the retail sales and wholesale companies which is obliged to notify the Energy Market Regulatory Authority (EMRA).

18.2. Frequency of data collection

For electricity prices: half yearly

For electricity price components: yearly

18.3. Data collection

The electricity price data are reported from all suppliers via price notification forms in Excel provided by Energy Market Regulatory Authority. The forms are uploaded to Energy Market Regulatory Authority Notification System. Suppliers are obliged to fill the forms that include electricity basic price, transmission, system services, distribution and other services. The individual components are summarize to the asked sub-components of the Eurostat questionnaire.

18.4. Data validation

First of all the price notification forms are downloaded from Energy Market Regulatory Authority Notification System. All the forms are checked for completeness.

Then the unit prices and their increase/decrease rates, tax rates are controlled and compared with each other and previous semesters form by form. In case of inconsistent price data or if any outlier is detected the data providers are contacted to require a correction/explanation/clarification/justification of the data.

18.5. Data compilation

Since the administrative records are used and all the suppliers are included in the system no weighting is done. National prices that are representative for the whole country.

18.5.1. Imputation - rate

Not applicable.

18.6. Adjustment

No adjustments carried out.

18.6.1. Seasonal adjustment

Seasonable adjustments are not carried out.


19. Comment Top


Related metadata Top


Annexes Top