Title of statistical activity: Participation in culture
Code of statistical activity: 40422
- 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.
Population and Social 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.
78 Tiigi Str, 50410 Tartu, 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.
+372 652 9315
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.
Participation of at least fifteen-year-old persons in cultural activities by cultural domain and place of residence / group of persons
Frequency of visiting cultural institutions by cultural domain
Total household expenditure on visiting cultural institutions per quarter and average expenditure per household on last visit by cultural sector and type of expenditure
Average expenditure per capita on the last visit to a cultural event and the share of visitors with cultural expenditure by cultural domain and type of expenditure
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Classification of cultural institutions and events
International Standard Classification of Education (ISCED 2011)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Dependent child – a household member aged 0–17 (as at the date of filling in the questionnaire) or a household member aged 18–24 who is living with at least one parent and whose main economic status is inactive.
Household – a group of people who live in a common main dwelling (at the same address) and share joint financial and/or food resources and whose members consider themselves to be one household. A household can also consist of one member only.
Income quintile – one fifth of the households ordered by average monthly net disposable earnings per household member. The first or the lowest quintile contains one fifth of the households receiving the lowest average monthly net disposable earnings per household member, the second quintile contains the next fifth and so on.
Rural settlements – small towns and villages.
Urban settlements – cities, cities without municipal status and towns.
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.
Permanent residents of Estonia aged 15 and older and their household members, excluding persons living in institutional households (children’s homes, care homes, monasteries etc.)
A list of the permanent residents of Estonia (aged 15 and over) compiled based on the population and housing census (2011) and the population register
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
3.8. Time coverage The length of time for which data are available.
2013, 2015, 2017
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Number and percentage of persons
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
OTHER LEGAL ACTS
United Nations Educational, Scientific and Cultural Organization (UNESCO)
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.
Every other year
10. Accessibility and clarity
10.1. News release Regular or ad-hoc press releases linked to the data.
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 “Social life / Education” 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.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
Creative industries spillovers in the frame of the ESSnet Culture project, Estonian Institute for Futures Studies, Tallinn 2011
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
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 Culture
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.
Data is complete
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 accuracy of source data is monitored by assessing the methodological soundness of data sources and the adherence to the methodological recommendations.
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.
The error due to probability sampling is estimated for more important indicators.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
There is an effort to reduce non-sampling errors by continuous methodological and survey process improvements, including minimizing under- and over coverage of the frame.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published three months after the end of reference period.
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.
Data are comparable within the country.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The data are comparable across the whole time series.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
Differences in the methodology should be taken into account when comparing the statistics with data from other sources.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
Cost of statistical activity 149.3 thousand euros (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.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
The number of objects in the total population is 1,108,000 persons aged 15 and over. The number of objects in the sample is 2,500 persons per quarter.
DATA FROM OTHER STATISTICAL ACTIVITIES
18.2. Frequency of data collection Frequency with which the source data are collected.
Over two years
18.3. Data collection Systematic process of gathering data for official statistics.
The data are collected from individuals. The method used for collecting the data in 2014 was a an online questionnaire (CAWI), since 2015 – CATI and a face-to-face interview (CAPI). The interviews are conducted by Statistics Estonia's interviewers with relevant training. The Survey Fieldwork Information System is used to manage and monitor data collection. The questionnaires have been designed to be filled in electronically by the interviewer. Information about the questionnaires and data submission is available on Statistics Estonia's website at https://www.stat.ee/11757.
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, the internal coherence of the data is checked.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
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 measuring indicators, e.g. the average, median, dispersion, etc.
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.