Title of statistical activity: Registered accidents at work
Code of statistical activity: 40601
- 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.
Methodology and Analysis 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 9292
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.
Accidents at work and fatal accidents at work by sex, age group and economic activity
Accidents at work resulting in more than 3 days’ absence from work and rate of reported accidents at work by sex and sector of economy
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)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Employed persons, excl. self-employed persons
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Accident at work – a discrete occurrence in the course of work which leads to physical or mental harm.
This includes accidents in the course of work outside the premises of one’s business, even if caused by a third party (on clients’ premises, on another company’s premises, in a public place or during transport, including road traffic accidents) and cases of acute poisoning.
It excludes accidents on the way to or from work (commuting accidents), occurrences having only a medical origin, e.g. cardiac or cerebral incidents or any other sudden-onset medical condition, and deliberate self-inflicted injuries.
Fatal accident at work – an accident which leads to the death of a victim within one year of the accident.
Registered accidents at work – accidents at work that are reported to the Labour Inspectorate.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
Registered accident at work
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
Registered accidents at work
Accidents at work registered at the Labour Inspectorate
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.
Registered accidents at work – number, cases per 100,000 employed persons
Fatal accidents at work – number, cases per 100,000 employed 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
Commission Regulation (EU) No 349/2011 of 11 April 2011 implementing Regulation (EC) No 1338/2008 of the European Parliament and of the Council on Community statistics on public health and health and safety at work, as regards statistics on accidents at work
Regulation (EC) No 1338/2008 of the European Parliament and of the Council of 16 December 2008 on Community statistics on public health and health and safety at work
OTHER LEGAL ACTS
International Labour Organization (ILO)
United Nations Children’s Fund (UNICEF)
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.
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 / Worklife quality” 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.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
European Statistics on Accidents at Work (ESAW). Summary methodology. Eurostat (2013)
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
A Quality Report complying with requirements is sent to Eurostat.
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 Social Affairs
Tallinn City Office
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.
The statistics on accidents at work are in compliance with the European Statistics on Accidents at Work (ESAW) methodology.
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.
Data on registered accidents at work are considered underestimated as employers do not report all accidents to the Labour Inspectorate (especially in the case of minor accidents).
The increase in the number of accidents at work in the time series indicates some improvement in reporting over years.
The number of fatal accidents can be considered accurate.
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.
Eurostat and the national statistical insititutes try to reduce non-sampling errors through continuous methodological and survey process improvements, e.g. by adopting computer-assisted price collection, which can help to avoid coding and typing errors.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are submitted to Eurostat and the International Labour Organization (ILO) 180 days after the end of the reference year (T + 180).
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.
International statistics on accidents at work are based on the common ESAW (European Statistics on Accidents at Work) methodology. However, differences in unemployment insurance systems should be taken into account in cross-country comparisons.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
In general, comparability over time is good. However, when interpreting the data, it should be considered that the reporting of accidents at work has improved over time.
15.3. Coherence - cross domain The extent to which statistics are reconcilable with those obtained through other data sources or statistical domains.
When comparing data from different sources, methodological differences shouldo be kept in mind.
15.4. Coherence - internal The extent to which statistics are consistent within a given data set.
The outputs of the statistical activity are coherent.
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.
18. Statistical processing
18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.
Data on registered accidents at work (micro-data and aggregated data) are received from the Labour Inspectorate. The source data are transmitted and used for calculating the estimated total number of accidents at work (for international statistics). The aggregated data on registered accidents at work (incl. fatal accidents) by sex, age and economic activity are also transmitted.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 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.
Statistics Estonia receives data from the Labour Inspectorate in xls format by e-mail.
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.
Aggregated data compiled by the Labour Inspectorate are used in official statistics.
The data relating to the number of persons in employment (the reference population covered by the ESAW reporting) are provided by the Labour Force Survey.
For international purposes the total number of accidents at work is estimated by weighting (weights are derived from the data of Labour Force Survey).
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.