Title of statistical activity: Trade volume indices
Code of statistical activity: 21603
- 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.
+372 615 9257
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.
Monthly data: turnover volume index of retail trade enterprises by economic activity compared to the previous period and the corresponding period of the previous year
Quarterly data: retail sales volume index with 2010 as the reference year; retail sales volume index by economic activity compared to the previous period and the corresponding period of the previous year; retail sales volume index by commodity group 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
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Motor vehicle and retail trade enterprises, NACE 45 and 47
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Constant price – current price deflated by price index of goods and services.
Current price – the prices of goods and services in the reference period.
Deflator – a price index used to convert an economic indicator in prices of a certain period into prices of another period.
Value index – an index that expresses the change in the sales of goods in current prices compared to the sales of previous periods. Value index is the ratio in percentages of the indicator of the current period and that of the reference period. Price index is not used in calculating the value index.
Volume index – an index that expresses the change in the volume of sales of goods in constant prices compared to the sales of some previous period. Price indices of goods are used in calculating the index.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Enterprises whose main activity is the wholesale and retail trade and repair of motor vehicles or retail trade
List of active enterprises whose main activity is the wholesale and retail trade and repair of motor vehicles or retail trade.
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 the unit
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
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
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
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 § 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.
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 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.
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 “Retail trade” once a month. The news release can be viewed on the website at http//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 / Internal trade” 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 § 34, § 35, § 36, § 37, § 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
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
The Government Office
Ministry of Finance
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 rules (regulations)
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.
The data are published 30 days after the end of the reference month (T + 30) and 65 days after the end of the reference quarter (T + 65).
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.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable over time.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Are coherent with the same annual indicators of trade enterprises
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed data according to pre-defined procedures.
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 a year from the end of the reference period.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activities 20007 “Financial statistics of enterprises (quarterly)” , 20407 “Consumer price index” and 21601 “Financial statistics of trade enterprises (monthly)” 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.
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 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 collected data are converted into statistical output. This includes calculation of additional indicators.
The comparison of sales data with previous periods is presented as net sales and retail sales volume indices.
Deflator – a price index used to convert an economic indicator in prices of a certain period into prices of another period.
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 adjusted and trend-cycle is estimated.