Title of statistical activity: Employment and financial statistics of the cultural sector
Code of statistical activity: 40416
- 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.
Enterprises and organisations of creative and cultural industries in the public, non-profit and private sectors, and sole proprietors
Number of enterprises (units), turnover and employment in the cultural sector
Financing of culture
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
International Standard Classification of Occupations (ISCO 08)
Type of owner
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Cultural sector and cultural employment outside the cultural sector
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Total cultural employment – total cultural employment covers all persons aged 15 and over who, during the reference week, worked at least one hour for pay, profit or family gain, or were not at work but had a job or business in the cultural sector or engaged in any cultural occupation outside the cultural sector from which they were temporarily absent. This does not include the people engaged in cultural work in addition to their principal job.
Share of cultural employment in total employment – share of cultural employment in total employment indicates the measure and balance of cultural employment in total employment. Total cultural employment covers all persons aged 15 and over who, during the reference week, worked at least one hour for pay, profit or family gain, or were not at work but had a job or business in the cultural sector or engaged in any cultural occupation outside the cultural sector from which they were temporarily absent. This does not include the people engaged in cultural work in addition to their principal job.
Share of employees with tertiary education in cultural employment – share of employees with tertiary education in cultural employment indicates the measure and balance of persons with higher education in cultural employment. Total cultural employment covers all persons aged 15 and over who, during the reference week, worked at least one hour for pay, profit or family gain, or were not at work but had a job or business in the cultural sector or engaged in any cultural occupation outside the cultural sector from which they were temporarily absent. This does not include the people engaged in cultural work in addition to their principal job.
Share of cultural employment by gender – gender-specific distribution means the share of men and women in cultural employment and the balance between these shares. It is also expressed by bringing forth one sex (e.g. the share of women), whereas the rest would refer to the opposite sex. Total cultural employment covers all persons aged 15 and over who, during the reference week, worked at least one hour for pay, profit or family gain, or were not at work but had a job or business in cultural sector or engaged in any cultural occupation outside the cultural sector from which they were temporarily absent. This does not include the people engaged in cultural work in addition to principal job.
Value added of cultural sector – value added of cultural sector is a value that is added in production processes of goods and services. Value added is the value of output less the value of intermediate consumption.
Share of cultural sector in GDP – share of value added of cultural sector is a measure of its contribution to GDP. Value added of cultural sector is a value that is added in production processes of goods and services. Value added is the value of output less the value of intermediate consumption.
Sales revenue of cultural sector’s enterprises – sales revenue of cultural enterprises is the income gained from the sales of all products, services and goods provided by principal or ancillary activities. Enterprises are companies. Organisations are non-profit institutions – non-profit associations, foundations, state authorities, local government authorities.
Share of sales revenue of cultural sector’s enterprises in total entrepreneurship – sales revenue of cultural enterprises is the income gained from the sales of all products, services and goods provided by principal or ancillary activities.
Total number of cultural enterprises and organisations in economy – the indicator reflects the total number of enterprises and organisations of the cultural sector. Enterprises are companies. Organisations are non-profit institutions – non-profit associations, foundations, state authorities, local government authorities.
Share of cultural units in total economy – the indicator reflects the share of enterprises and organisations of the cultural sector among all enterprises and organisations. Enterprises are companies. Organisations are non-profit institutions – non-profit associations, foundations, state authorities, local government authorities.
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.
Legal persons and sole proprietors engaged in culture, culturally employed persons
List of economic units who are active in the field of culture. The list is generated from the Business Register for Statistical Purposes.
Households and their members (aged 15–64) residing at the address registered in the population register.
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 calculations are based on the data since 2001.
Cultural enterprises and institutions – number, share
Cultural employment – number, share
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
Statistical Office of the European Union (Eurostat)
ESSnet Culture Framework of Cultural Statistics
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.
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 / Culture” 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.
ESSnet-Culture Final Report, Eurostat (2012)
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
Estonian Institute of Economic Research
Tallinn University Estonian Institute for Futures Studies
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.
Use of administrative data ensures complete coverage and timeliness. The Labour Force Survey data are complete and in compliance with the data composition requirements of the Labour Force survey regulation of the European Commission.
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.
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.
The people who enter data in the register may make mistakes during data entry, which are impossible to discover. Institutions may not update all the data annually as required.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are on time
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 output has been generated based on the ESSnet Culture (European Statistical System network on culture) methodology. Data published by some European Union countries may not (yet) be based on the same methodology – therefore, comparability may be limited to a few 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.
Differences in the methodology, especially in the data collection instrument, need to 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 2.6 thousand euros (data for 2018)
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.
Education data are obtained from the Estonian Education Information System (EHIS) of the Ministry of Education and Research.
Data on the state cultural sector expenditure are obtained from the system of governmental accounts of the State Shared Service Centre.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activities 20902 “Statistics of economic units”, 40203 “Household Budget Survey” and 40701 “Labour Force Survey” 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.
The data are compared with the data of previous periods. All columns are checked to make sure that they have been completed as required.
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 is 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, such as 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.