Title of statistical activity: Emission and capture of gases causing climate change (until 2015)

Code of statistical activity: 10403

  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 and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.

Statistics Estonia

1.2. Contact organisation unit An addressable subdivision of an organisation.

Economic and Environmental Statistics Department

1.3. Contact name The name of the contact points for the data or metadata.

Eda Grüner

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Statistician-Methodologist

1.5. Contact mail address The postal address of the contact points for the data or metadata.

51 Tatari Str, 10134 Tallinn, Estonia

1.6. Contact email address E-mail address of the contact points for the data or metadata.

eda.gryner@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 9307

2. Metadata update The date on which the metadata element was inserted or modified in the database.

2.1. Metadata last certified Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended.

09/01/2015

2.2. Metadata last update Date of last update of the content of the metadata.

09/01/2015

3. Statistical presentation

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

Antrophogenic emissions of carbon dioxide, methane, nitrous oxide, F-gases and sulphur hexafluoride by main emission sources; carbon doixide removal by ecosystems.

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

UNFCCC (United Nations Framework Convention on Climate Change) classifications of emissions by sector

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Country – total

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

Binding of the greenhouse gases – anthropogenic induced sequestration of greenhouse gases in ecosystem (e.g. during the photosynthesis or chemical reactions).

Carbon dioxide equivalent – the amount of CO₂ that would have the same global warming potential as the given amount of greenhouse gas.

Emission of carbon dioxide – total anthropogenic carbon dioxide (CO₂) emission from the sectors of energy, industrial processes, solvent and other product use, agriculture, land use change and forestry, and waste (as defined by IPCC). Natural emission is not accounted for in this indicator.

Emission of methane – total anthropogenic methane (CH₄) emission from the sectors of energy, industrial processes, solvent and other product use, agriculture, land use change and forestry, and waste (as defined by IPCC). Natural emission is not accounted for in this indicator.

Emission of nitrous oxide – total anthropogenic nitrous oxide (N₂O) emission from the sectors of energy, industrial processes, solvent and other product use, agriculture, land use change and forestry, and waste (as defined by the IPCC). Natural emission is not accounted for in this indicator.

Greenhouse gases – gases that bind the reflecting infrared radiation and cause the rising of the global atmospheric temperature. The main greenhouse gases were carbon dioxide (CO₂), methane (CH₄), nitrous oxide (N₂O), hydrofluorocarbons (HFC), perfluorocarbons (PFC) and sulphur hexafluoride (SF₆).

Greenhouse gas emission – anthropogenic emission of greenhouse gas which is usually expressed in CO₂ equivalents.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Anthropogenic greenhouse gas

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Sources of emissions and removals of greenhouse gases

FRAME

Not applicable.

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

3.8. Time coverage The length of time for which data are available.

1990–…

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

The calculations were based on the data of the year 1990.

4. Unit of measure The unit in which the data values are measured.

ton, ton of CO₂ equivalent

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

Year

6. Institutional mandate

6.1. Legal acts and other agreements Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics.

DIRECTLY APPLICABLE LEGAL ACT

Not available.

Official Statistics Act

OTHER AGREEMENTS

Statistical Office of the European Communities (Eurostat)

Organisation for Economic Co-operation and Development (OECD)

7. Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties.

7.1. Confidentiality - policy Legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly.

The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 34 and § 35 of the Official Statistics Act.

7.2. Confidentiality - data treatment Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure.

Not applicable.

8. Release policy Rules for disseminating statistical data to interested parties.

8.1. Release calendar The schedule of statistical release dates.

Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. On 1 October each year, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications are announced in the release calendar (in case of publications – the release month).

8.2. Release calendar access Access to the release calendar information.

https://www.stat.ee/release-calendar

8.3. User access The policy for release of the data to users, the scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users.

All users have been granted an equal access to official statistics: this means that the dissemination dates of official statistics have to be announced in advance and no user category (incl. Eurostat, state authorities and mass media) can have access to the official statistics (results of official statistical surveys) before other users. Statistical information is first published in the Statistical Database. In case a news release is published based on the same data, the information provided in the relevant news release is simultaneously published in the Statistical Database. Official statistics are available on the website at 8.00 a.m. on the date announced in the release calender.

9. Frequency of dissemination The time interval at which the statistics are disseminated over a given time period.

Year

10. Accessibility and clarity

10.1. News release Regular or ad-hoc press releases linked to the data.

Not published.

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

„Eesti statistika aastaraamat. Statistical Yearbook of Estonia”

10.3. Online database Information about on-line databases in which the disseminated data can be accessed.

Data are published under the heading „Environment/ Environmental pressure” in the Statistical Database in http://pub.stat.ee.

10.4. Microdata access Information on whether micro-data are also disseminated.

Not applicable.

10.5. Other References to the most important other data dissemination done.

Data serve as input for statistical activities 10001 „Environmental trends”, 10406 „Air emissions accounts”, 10601 „Material flow accounts” and 50201 „Sustainable development indicators”.

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

The methodology has been developed by the UN. The greenhouse gas inventories are compiled by the Ministry of the Environment according to the following guidelines:

Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories. IPCC (Intergovernmental Panel on Climate Change), 1997

http://www.ipcc-nggip.iges.or.jp/public/gl/invs1.html

Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories. IPCC, 2000

http://www.ipcc-nggip.iges.or.jp/public/gp/english/

Methodology for the calculation of the emissions of carbon dioxide. Regulation No 94 of the Minister of the Environment of 16 July 2004 (RTL 2004, 101, 1625)

https://www.riigiteataja.ee/akt/12757215 (in Estonian)

Statistics Estonia, as an end-user of these data, does not have a specialised methodology.

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

Estonia’s national GHG (greenhouse gas) inventory submission to the UNFCCC (United Nations Framework Convention on Climate Change) secretariat (prepared by the Ministry of the Environment)

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

11.1. Quality assurance All systematic activities implemented that can be demonstrated to provide confidence that the processes will fulfil the requirements for the statistical output.

To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, EU Statistics Code of Practice and the ESS Quality Assurance Framework (QAF). Statistics Estonia is also guided by the requirements provided for in § 7. „Principles and quality criteria of producing official statistics” of the Official Statistics Act.

11.2. Quality assessment Overall assessment of data quality, based on standard quality criteria.

Statistics Estonia performs all statistical activities according to an international model (Generic Statistical Business Process Model – GSBPM). According to the GSBPM, the final phase of statistical activities is overall evaluation using information gathered in each phase or sub-process (this information includes, among other things, feedback from users, process metadata, system metrics and suggestions from employees). This information is used to prepare the evaluation report which outlines all the quality problems related to the specific statistical activity and serves as input for improvement actions.

12. Relevance The degree to which statistical information meet current and potential needs of the users.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

Users’ suggestions and information about taking them into account are available on the SE website https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996 Statistics Estonia conducts reputation surveys and user surveys.

All results are available on the website https://www.stat.ee/user-surveys.

12.3. Completeness The extent to which all statistics that are needed are available.

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

13.2. Sampling error That part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.

Not applicable.

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

Not measured.

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The data are released 720 days upon the end of the reference year (T+720).

(2012) T+658

(2011) T+657

(2010) T+657

(2009) T+659

(2008) T+659

(2007) T+640

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

The data have been published at the time announced in the release calender.

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

The data are geographically comparable.

15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.

The data are comparable across time.

15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.

Connected witrh statistical surveys 10406 „Air Emissions Accounts” and 10601 „Material Flow Accounts”.

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The outputs of the statistical activity are coherent.

16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents.

17. Data revision Any change in a value of a statistic released to the public.

17.1. Data revision - policy Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.

The data revision policy and notification of corrections are described in the dissemination policy of Statistics Estonia https://www.stat.ee/dissemination-policy.

17.2. Data revision - practice Information on the data revision practice.

The data for all the years in the time series are revised annually according to the recommendations of the UN committee of experts.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.

SURVEY DATA

Not used.

ADMINISTRATIVE DATA

Data on the emissions of carbon dioxide, methane, nitrous oxide, F-gases and sulphur hexafluoride and data on removal of carbon dioxide by ecosystems are received from the Ministry of the Environment. The volumes of greenhouse gas emissions are calculated by the Estonian Environmental Research Centre in cooperation with the Departments of Thermal Engineering and Chemical Engineering of the Tallinn University of Technology.

DATA FROM OTHER STATISTICAL ACTIVITIES

Not used.

18.2. Frequency of data collection Frequency with which the source data are collected.

Year

18.3. Data collection Systematic process of gathering data for official statistics.

Data are recieved by e-mail.

18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.

Statistics Estonia does not validate the data.

18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.

The variables and statistical units which were not collected directly but are required for output generation are calculated. In order to calculate new variables, mathematical expressions are applied to existing variables. The process may be repeated, i.e. a derived variable may be based on other derived new variables.

18.6. Adjustment The set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets.

Not applied.

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Not available.