Title of statistical activity: Production indices
Code of statistical activity: 22201
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
1.1. Contact organisation The name of the organisation of the contact points for the data or metadata.
1.2. Contact organisation unit An addressable subdivision of an organisation.
Enterprise and Agricultural Statistics Department
1.3. Contact name The name of the contact points for the data or metadata.
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".
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.
1.7. Contact phone number The telephone number of the contact points for the data or metadata.
+372 625 9290
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.
2.2. Metadata last update Date of last update of the content of the metadata.
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.
Production indices by economic activity compared to a base period (previous period, corresponding period of previous year, fixed base period): volume indices of industrial production (seasonally and working-day adjusted and not adjusted), value indices of industrial sales, value indices of industrial export sales (total, euro area, non-euro area), value indices of industrial domestic sales, value indices of industrial new orders, value indices of industrial export new orders (total, euro area, non-euro area), value indices of industrial domestic new orders.
Monthly data: all the above-mentioned indices by economic activity with 2015 as the reference year, changes in all indices by economic activity compared to the previous period and the corresponding period of the previous year
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
List of Products of the European Community (PRODCOM List)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Industrial enterprises, industrial kind-of-activity units (KAU)
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
The seasonally adjusted volume index of industrial production – an index that expresses the change in the volume of industrial production, which has not been influenced by seasonally recurring factors. It is calculated only in comparison with the previous period (month or quarter).
The unadjusted volume index of industrial production – an index that expresses the change in the value of industrial production at constant prices compared to the base period. The producer price index is used for calculating the production values at constant prices.
The value index of industrial sales – an index that expresses the change in the value of sold industrial production at current prices compared to the base period.
The working-day adjusted volume index of industrial production – the change in the volume of industrial production taking into account the number of working days in a month. It is calculated only in comparison with the corresponding period of the previous year.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
Kind-of-activity unit (KAU)
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
List of active enterprises whose main activity is industry (enterprises with 20 or more persons employed; enterprises with fewer than 20 persons employed which have a large turnover). The list is generated from the Business Register for Statistical Purposes.
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.
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
The base year for the indices is 2015 = 100.
Index is without unit.
Index change – %
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
Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics
Regulation (EC) No 1158/2005 of the European Parliament and of the Council of 6 July 2005 amending Council Regulation (EC) No 1165/98 concerning short-term statistics
Commission Regulation (EC) No 1502/2006 of 28 September 2006 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards derogations to be granted to Member States
Regulation (EU) 2015/458 of 19 March 2015 amending Regulation (EC) No 657/2007 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the establishment of European sample schemes
Regulation (EU) No 461/2012 of 31 May 2012 amending Council Regulation (EC) No 1165/98 concerning short-term statistics and Commission Regulations (EC) No 1503/2006, (EC) No 657/2007 and (EC) No 1178/2008 as regards adaptations related to the removal of the industrial new orders variables
Regulation (EC) No 329/2009 of 22 April 2009 amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the updating of the list of variables, the frequency of compilation of the statistics and the levels of breakdown and aggregation to be applied to the variables
Commission Regulation (EC) No 1178/2008 of 28 November 2008 amending Council Regulation (EC) No 1165/98 concerning short-term statistics and Commission Regulations (EC) No 1503/2006 and (EC) No 657/2007 as regards adaptations following the revision of statistical classifications NACE and CPA
Commission Regulation (EC) No 472/2008 of 29 May 2008 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the first base year to be applied for time series in NACE Revision 2 and, for time series prior to 2009 to be transmitted according to NACE Revision 2, the level of detail, the form, the first reference period, and the reference period
Commission Regulation (EC) No 657/2007 of 14 June 2007 implementing Council Regulation (EC) No 1165/98 concerning short-term statistics as regards the establishment of European sample schemes
Commission Regulation (EC) No 1503/2006 of 28 September 2006 implementing and amending Council Regulation (EC) No 1165/98 concerning short-term statistics as regards definitions of variables, list of variables and frequency of data compilation
OTHER LEGAL ACTS
United Nations (UN)
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 § 32, § 34, § 35, § 38 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.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia: https://www.stat.ee/66485.
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. 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 the case of publications – the release month).
8.2. Release calendar access Access to the release calendar information.
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.
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
The news release “Production of industrial output and energy” once a month. The news release can be viewed on the website at https://www.stat.ee/news-releases.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published under the subject area “Economy / Industry” in the statistical database at http://pub.stat.ee.
10.4. Microdata access Information on whether micro-data are also disseminated.
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 33, § 34, § 35, § 36, § 38 of the Official Statistics Act. Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes: https://www.stat.ee/dokumendid/51669.
10.5. Other References to the most important other data dissemination done.
Data serve as input for statistical activity 21405 “National accounts (quarterly)”.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
Methodology of short-term business statistics. Interpretation and guidelines, Eurostat (2006)
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
The quality report sent to Eurostat is available at http://ec.europa.eu/eurostat/web/short-term-business-statistics/methodology.
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.
12.1. User needs Description of users and their respective needs with respect to the statistical data.
Ministry of Economic Affairs and Communications
Ministry of Rural Affairs
Ministry of the Environment
Ministry of Finance
Eesti Pank (central bank of Estonia)
Estonian Institute of Economic Research
Federation of Estonian Engineering Industry
Estonian Forest and Wood Industries Association
Association of Construction Material Producers of Estonia
Estonian Food Industry Association
Estonian Furniture Industry Association
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.
In compliance with the volume and deadlines set in European Union requirements: Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short-term statistics; Regulation (EC) No 1158/2005 of the European Parliament and of the Council of 6 July 2005 amending Council Regulation (EC) No 1165/98 concerning short-term statistics
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.
The type of survey and the data collection methods ensure sufficient coverage and timeliness.
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.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
Monthly data, quarterly data and preliminary yearly data are published 30 days after the end of the reference month, reference quarter and reference year, respectively; final annual data are published 485 days after the end of the reference year (T + 485).
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.
The data are comparable with the data of other European Union countries because common methodology, concepts and definitions on short-term statistics are used.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
Time series based on the common methodology start from 2000.
In 2008, a new version of the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2) was adopted in the European Union. It is the basis for Estonian Classification of Economic Activities 2008 (EMTAK 2008)).
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Data are connected with short-term business statistics (STS) statistical activity 20007 “Financial statistics of enterprises (quarterly)” and annual statistics (SBS, Structural business statistics) statistical activity 20300 “Financial statistics of enterprises (annual)” (final annual data of sales and stock of industrial production). The indices are calculated based on the common methodology according to the European Union STS regulation.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The internal consistency of the data is ensured by the use of a common methodology for data collection and data aggregation.
Cost of statistical activity 37.5 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 1004.0
Average time of filling in the reports, hours per report:
(data for 2017)
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 published data may be revised if the methodology is modified, errors are discovered, new or better data become available within two years from the end of the reference period.
Regular revisions are carried out in February based on final annual statistics and the data of the statistical activity 20300 “Financial statistics of enterprises (annual)”.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The population is 1,200 objects. Census is used.
Enterprises whose main activity is industry: enterprises with 20 or more persons employed and enterprises with less than 20 persons employed, whose annual sales exceed 2 million euros. The data were not expanded to the population of enterprises. The industrial production output of these enterprises accounted for 90% of the total industrial output in monetary terms.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activities 20205 “Energy consumption and production (monthly)” (electricity and heat production and sales), 20300 “Financial statistics of enterprises (annual)” (final annual data on industrial sales and inventory stocks), 20408 “Producer price index of industrial output” (producer price indices) and 22303 “Foreign trade” (export and import of electricity) are used.
18.2. Frequency of data collection Frequency with which the source data are collected.
18.3. Data collection Systematic process of gathering data for official statistics.
Data are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).
Data are collected with the official statistics monthly questionnaire “Industry”.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
Arithmetic and qualitative controls are used in the validation process, including comparison with other data. Before data dissemination, several checks on the internal coherence of the data are carried out.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
In the case of missing or unreliable data, estimate imputation based on established regulations will be used.
Variables and statistical units which were not collected but which are necessary for producing the output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly, the derived variable may, in turn, be based on previously derived new variables.
Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures.
The collected data are converted into statistical output. This includes calculating additional indicators.
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.
Time series are seasonally and working day adjusted.