Title of statistical activity: Financial statistics of non-profit organisations
Code of statistical activity: 20001
- 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 9131
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.
Non-profit organisations’ revenue and expenditures by category, number of members, average number of employees
Acquisitions and additions and disposals of tangible assets by type
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
ESA: Classification of transactions 2010
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Non-profit institutions serving households (NPISH), NPI-s market-producers
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
The annual average number of persons employed – persons who work under an employer agreement (contract) and receive remuneration. The number of persons does not include persons who are absent from work for a long time.
Total expenses – labour costs, expenses from economy, depreciation, subsidies and grants and sum of other expenses.
Total revenue – fees received from members, donations and subsidies, net revenue from financial investments, revenue from business and sum of other revenues.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
Non-profit organisation, foundation
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Membership and other non-profit organisations
List of membership organisations and other non-profit organisations
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.
Financial data – euro
Number of employees calculated to full-time employment
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 Implementing Regulation (EU) No 724/2014 of 26 June 2014 on the interchange standard for the transmission of data required under Regulation (EU) No 549/2013 of the European Parliament and of the Council on the European system of national and regional accounts in the European Union (Text with EEA relevance)
Regulation (EC) No 2516/2000 of the European Parliament and of the Council of 7 November 2000 modifying the common principles of the European system of national and regional accounts in the Community (ESA) 95 as concerns taxes and social contributions and amending Council Regulation (EC) No 2223/96
Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union (Text with EEA relevance)
OTHER LEGAL ACTS
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.
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.
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.
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 activities 21401 “National accounts (annual)”, 21405 “National accounts (quarterly)”, 21406 “Regional GDP”, 21407 “Sector accounts”, 21408 “Supply and use tables”.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
European System of Accounts 2010 (ESA 2010)
System of National Accounts 2008 (2008 SNA). Commission of the EC, IMF, OECD, UN and WB (2008)
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 Economic Affairs and Communications
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.
Value added calculations of non-profit institutions correspond to the European System of Accounts 2010 (ESA 2010).
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 submitted according to an agreement.
14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.
The data are submitted on time.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
The time series compiled according to the common methodology start from 1995.
Since 2016, the data on membership fees and entrance fees are collected as one indicator in the questionnaire. The number of hours of volunteering and movements in fixed assets (purchases and additions, sales) are no longer collected. Data on the movements of fixed assets are derived from the annual report of the commercial register of the Centre of Registers and Information Systems (register of non-profit associations and foundations).
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
Cost of statistical activity 20.8 thousand euros (data for 2018)
Total time of filling in reports of the statistical activity, working days: 245.4
Average time of filling in the reports, hours per report:
Kasumitaotluseta organisatsioonid 1.9
(data for 2016)
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.
Total population is 35,000 objects. The sample includes 2,150 objects.
All organisations with 10 and more employees and political organisations are surveyed. For other organisations stratified simple random sampling by activity is applied.
Data on payments subject to social tax and calculated social tax by the Estonian Classification of Economic Activities (EMTAK, based on NACE Rev. 2) and data on land tax are received from the Estonian Tax and Customs Board. Annual reports are received from the non-profit associations and foundations register.
DATA FROM OTHER STATISTICAL ACTIVITIES
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 annual official statistics questionnaire “Non-profit institutions”.
Data from the Tax and Customs Board and from the commercial register of the Centre of Registers and Information Systems (register of non-profit associations and foundations) are received via X-Road and an FTP-server.
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 administrative data sources.
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.
For statistical units weights are calculated, which are used to expand the data of the sample survey to the total population.
Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measuring indicators, 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.