Title of statistical activity: Environmental trends

Code of statistical activity: 10001

  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.

Kaia Oras

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

Deputy Head

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.

kaia.oras@stat.ee

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

+372 625 9234

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.

15/06/2017

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

15/06/2017

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.

Indicators of environmental pressure – indicators that reflect the impact of human activity on the environment by environmental problem domain

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

Eurostat’s list of environmental problem areas and the corresponding environmental pressure indicators

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

Most of the indicators are calculated as total for the country. If not, it is indicated in the name of the indicator or in the methodology description.

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

Indicators of environmental pressure – indicators which reflect impact of human activity on the environment.

Eight environmental problem domains are considered:

- loss of biodiversity (indicators of this environmental problem domain are: area used by intensive arable agriculture, area of regeneration cutting, fish catch from the Baltic Sea and inland waters);

- waste (indicators of this environmental problem domain are: waste generation, landfill of waste, generation of hazardous waste, generation of municipal waste, recycling of waste, waste incinerated);

- climate change (indicators of this environmental problem domain are: total emission and removals of greenhouse gases, emissions of carbon dioxide, methane, nitrous oxide and F-gases, use of carbon dioxide in ecosystems);

- ozone layer depletion (indicators of this environmental problem domain are: use of substances depleting the ozone layer, use of CFCs, use of HCFCs, use of halons, use of methyl bromide, use of tetra chloromethane, use of 1,1,1-trichloroethane);

- use of natural resources (indicators of this environmental problem domain are: abstraction of fresh water, surface water, groundwater and cooling water; consumption of energy; forest area; reserve of stands; share of utilised arable land and share of utilised permanent grassland; production of electricity from fossil fuels; excavation of oil shale, peat, limestone, clay, sand, gravel, dolostone, curative mud and sapropel; share of hunted wild boars, elks, brown bears and wolves in the counted game species);

- toxic chemicals (indicators of this environmental problem domain are: use of pesticides by agricultural holdings, air emissions of heavy metals, waste of oil shale semi-coking);

- water pollution and decrease of water resources (indicators of this environmental problem domain are: nitrogen quantity carried into the soil with fertilizers, share of non-purified or mechanically purified waste water discharge in waste water needing purification, pollution load of waste water with organic substances (BOD7), nitrogen and phosphorus);

- pollution of air (indicators of this environmental problem domain are: air emissions of nitrogen oxides, volatile organic compounds, sulphur dioxide and solid particles; consumption of gasoline and diesel).

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

Statistics are published on various aspects of environmental pressure, such as fish catch, waste, extraction of mineral resources, hazardous chemicals, agricultural land, wooded land and so on.

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

Not applicable

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.

2000–…

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

Not applicable

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

Various units of measure

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 ACTS

Not available

OTHER LEGAL ACTS

Not available

OTHER AGREEMENTS

Not available

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 dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the Statistical Database, news releases, main indicators by IMF SDDS and publications for the following year 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 equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the Statistical Database. If there is also a news release, it is published simultaneously with data in the Statistical Database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.

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

Annual

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.

Not published

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

Data are published under the subject area “Environment / Environmental pressure” in the Statistical Database at 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.

Not used

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

The indicators are based on Eurostat's two-dimensional matrix of environmental pressure indicators. The two dimensions are environmental problem domains and the corresponding main indicators of environmental pressure (Towards environmental pressure indicators for the EU. European Communities, 1999).

The environmental problem domains reflecting the impact of human activity are: water pollution, waste, loss of biodiversity, resource depletion and toxic substances, air pollution, climate change and ozone layer depletion.

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

Not available

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, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements 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 can take many forms, including 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.

Ministry of the Environment

Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at https://www.stat.ee/statistikatood.

12.2. User satisfaction Measures to determine user satisfaction.

Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys.

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

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

Not relevant

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.

Not relevant

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.

Timely

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 calendar.

15. Coherence and comparability

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

Single indicator data are mostly comparable with the data of other countries, but geographical comparability varies by the indicator.

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

Single indicator data are mostly comparable over time, but comparability in timeseries varies by the indicator.

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

There is no clear link to other domains of statistics.

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

Internal consistency is ensured by the framework.

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 at https://www.stat.ee/dissemination-policy.

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

The data of other statistical activities used for the calculation of the indicators are revised.

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 F-gases are received from the Estonian Environmental Research Centre.

Data on air emissions, greenhouse gas emissions, hunting, forestry wastewater and waste handling are received from the Estonian Environment Agency.

Data on the extraction of mineral resources are received from the Estonian Land Board.

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activities 10302 “Water use”, 10304 “Forest resources”, 10401 “Waste management”, 21001 “Forestry”, 21214 “Crop farming”, 22303 “Foreign trade”, 10503 “Sales of pesticides”, 20206 “Energy consumption and production (annual)”, 10406 “Air emissions accounts” and 20701 “Fish catch” are used.

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

Not applicable

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

Mainly not applicable, as data of other statistical activities are used. Data from the Estonian Land Board, Estonian Environment Agency and Estonian Environmental Research Centre are received by e-mail.

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

Comparison with the data of other surveys are used in the validation process. The data are compared with the data of previous periods.

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

The indicators to be published are calculated on the basis of the collected data.

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