Title of statistical activity: Health
Code of statistical activity: 40612
- Contact
- Metadata update
- Statistical presentation
- Unit of measure
- Reference period
- Institutional mandate
- Confidentiality
- Release policy
- Frequency of dissemination
- Accessibility and clarity
- Quality management
- Relevance
- Accuracy and reliability
- Timeliness and punctuality
- Coherence and comparability
- Cost and burden
- Data revision
- Statistical processing
- Comments
1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points. | |
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1.1. Contact organisation The name of the organisation of the contact points for the data or metadata. | Statistics Estonia |
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. | Tiiu-Liisa Rummo |
1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination". | Analyst |
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. | tiiu-liisa.rummo@stat.ee |
1.7. Contact phone number The telephone number of the contact points for the data or metadata. | +372 625 8425 |
2. Metadata update The date on which the metadata element was inserted or modified in the database. | |
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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. | 15/06/2017 |
2.2. Metadata last update Date of last update of the content of the metadata. | 15/06/2017 |
3. Statistical presentation |
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3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated. |
Disability-free life expectancy by ethnic nationality (Estonians, non-Estonians) |
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common. |
Not used |
3.3. Sector coverage Main economic or other sectors covered by the statistics. |
Persons |
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations. |
Disability-free life expectancy – the average number of years an individual is expected to live free of disability if current patterns of mortality and disability continue to apply. |
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled. |
Person |
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events. |
Residents of Estonia FRAME Persons registered in the population register and their household members |
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates. |
Estonia as a whole Counties Urban and rural settlements |
3.8. Time coverage The length of time for which data are available. |
2004–… |
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers. |
Not applicable |
4. Unit of measure The unit in which the data values are measured. |
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Years |
5. Reference period The period of time or point in time to which the measured observation is intended to refer. |
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Year |
6. Institutional mandate |
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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 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 Not available OTHER AGREEMENTS Not available |
7. Confidentiality A property of data indicating the extent to which their unauthorised disclosure could be prejudicial or harmful to the interest of the source or other relevant parties. |
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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: http://www.stat.ee/66485. |
8. Release policy Rules for disseminating statistical data to interested parties. |
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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. |
9. Frequency of dissemination The time interval at which the statistics are disseminated over a given time period. |
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Annual |
10. Accessibility and clarity |
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10.1. News release Regular or ad-hoc press releases linked to the data. |
Not published |
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public. |
Not published |
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 / Health” in the Statistical Database at http://pub.stat.ee. |
10.4. Microdata access Information on whether micro-data are also disseminated. |
Not applicable |
10.5. Other References to the most important other data dissemination done. |
Not used |
10.6. Documentation on methodology Descriptive text and references to methodological documents available. |
The concept and calculation of disability-free life expectancy. Quarterly Bulletin of Statistics Estonia. 1/12 |
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment. |
The quality report sent to Eurostat is available at https://circabc.europa.eu. |
11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes. |
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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. Relevance The degree to which statistical information meet current and potential needs of the users. |
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12.1. User needs Description of users and their respective needs with respect to the statistical data. |
Ministry of Social Affairs Users’ suggestions and information about taking these into account are available on the website of Statistics Estonia at http://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 http://www.stat.ee/user-surveys. |
12.3. Completeness The extent to which all statistics that are needed are available. |
All required indicators are published. |
13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure. |
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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. |
Not applicable |
13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations. |
Although a person has the obligation to ensure correctness of residential address in the population register, there is some under-coverage of persons and households there. Assuming that all persons living permanently in Estonia are registered in the population register and considering the amount of imprecise addresses in the population register, the under-coverage of households may be at most 1–1.5%. Measurement errors can stem from the questionnaire (its wording, design, etc), interviewees, interviewers and the data collection method. While it is impossible to completely avoid this type of errors, Statistics Estonia has tried to reduce them as much as possible. The data are checked in three stages: initial check upon data entry during the interview (on the laptop), secondary check of newly received data at the office and finally data cleaning. Data entry mistakes have decreased thanks to the continuing development of primary logic checks in the data entry program. |
14. Timeliness and punctuality |
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14.1. Timeliness Length of time between data availability and the event or phenomenon they describe. |
The data are published 420 days after the end of the reference year (T + 420). |
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 |
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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. |
When comparing data from different sources, methodological differences should 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. |
16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents. |
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Total time of filling in reports of the statistical activity, working days: 7.8 |
17. Data revision Any change in a value of a statistic released to the public. |
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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 http://www.stat.ee/dissemination-policy. |
17.2. Data revision - practice Information on the data revision practice. |
Not applicable |
18. Statistical processing |
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18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates. |
SURVEY DATA Not used ADMINISTRATIVE DATA Not used DATA FROM OTHER STATISTICAL ACTIVITIES Data from statistical activity 40003 “Household Panel Survey” are used. |
18.2. Frequency of data collection Frequency with which the source data are collected. |
Annual |
18.3. Data collection Systematic process of gathering data for official statistics. |
Not applicable |
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. |
The weights are calculated according to the sampling weights found based on inclusion probabilities. Final estimates are calculated using weights, which are adjusted beforehand to compensate for the shift caused by loss, and calibrated afterwards on the data of the population. This is based on the distribution of the inhabitants of Estonia (known from demographic data) by sex and age group and county on 1 January of the survey year. |
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. |
Not applied |
19. Comments Supplementary descriptive text which can be attached to data or metadata. |
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Not available |