Title of statistical activity: Child well-being
Code of statistical activity: 40012
- 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.
+372 625 8402
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.
Data about childcare, children’s living conditions, expenditures of households with children, poverty and deaths of children
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
3.3. Sector coverage Main economic or other sectors covered by the statistics.
Children and households with children
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Absolute poverty rate – the share of persons with an equivalised annual disposable income lower than the absolute poverty threshold.
Formal childcare – centre-based organised childcare, supervision and/or education for children aged 14 and younger (age as at interview day). Formal childcare includes pre-school education (kindergartens, crèches and other preschool institutions, preparatory courses for children of pre-school age, and pre-schools), children’s day care in childcare institutions (play rooms, family centres, etc.) with a professional minder and compulsory formal education (schools).
Housing cost overburden rate – the percentage of the population living in households where the total housing costs represent more than 40% of disposable income.
Material deprivation rate – the share of persons who cannot afford at least three of the following nine items: 1) to pay their rent or utility bills, 2) to keep their home adequately warm, 3) to face unexpected expenses, 4) to eat meat, fish or a protein equivalent every second day, 5) a week’s holiday away from home, 6) a car, 7) a washing machine, 8) a colour TV or 9) a telephone.
Overcrowding rate – the percentage of the population living in an overcrowded household. A household is overcrowded if the household does not have at its disposal a minimum number of rooms equal to:
- one room for the household;
- one room per couple in the household;
- one room for each single person aged 18 or more;
- one room per pair of single persons of the same gender between 12 and 17 years of age;
- one room for each single person between 12 and 17 years of age and not included in the previous category;
- one room per pair of children under 12 years of age.
Relative poverty rate (at-risk-of-poverty rate) – the share of persons with an equivalised annual disposable income lower than the relative poverty (at-risk-of-poverty) threshold.
Severe material deprivation rate – the share of persons who cannot afford at least four of the following nine items: 1) to pay their rent or utility bills, 2) to keep their home adequately warm, 3) to face unexpected expenses, 4) to eat meat, fish or a protein equivalent every second day, 5) a week’s holiday away from home, 6) a car, 7) a washing machine, 8) a colour TV or 9) a telephone.
Work intensity in a household – the total number of months spent by working-age household members (aged 59 and under) in employment or self-employment during the income reference period relative to the maximum number of months the household members could have spent in employment or self-employment. The indicator ranges from zero (no working-age member worked) to one (all working-age members worked throughout the income reference period). Dependent children are not counted as working-age household members.
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.
Children (0–17 years old)
Households and their members living 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.
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
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 / Well-being of children” 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.
The concept of child well-being was published in the 1st quarter of 2014 as an e-publication; it is open for further discussions and serves as the basis for the development of the measurement of child well-being.
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
Lapse heaolu mõõtmise käsitlus (Statistikaamet 2014)
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 Social Affairs
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 data are complete and in compliance with the data composition requirements of the European Commission regulation.
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.
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.
Sampling error estimates are calculated for all indicators found, but are published only for more important indicators.
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%.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 240 days after the end of the reference year (T + 240).
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 indicators of child poverty, material deprivation and coping have been calculated based on the Estonian Social Survey (ESS) data. Social Survey is a personal survey aimed at assessing the income distribution, living conditions and social exclusion of households and individuals. The survey is carried out in all European Union Member States as well as in Iceland, Norway, Switzerland and Turkey, which makes the data of these countries comparable.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
Since 2012, net income, which serves as the basis for child poverty and inequality indicators, is derived from the Estonian Social Survey and partly from registry data (Tax and Customs Board, Unemployment Insurance Fund, Health Insurance Fund, Social Insurance Board).
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 internal consistency of the data is ensured by the use of a common methodology for data collection and data aggregation.
Cost of statistical activity 4.1 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.
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.
Since 2012 statistics are calculated partially on the basis of the data of registers (Tax and Customs Board, Unemployment Insurance Fund, Health Insurance Fund, Social Insurance Board). Also the data of the Population Register and Estonian Causes of Death Registry are used.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data from statistical activity 40003 “Household Panel Survey” and 30101 “Population” 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.
Data from Population Register are received via X-Road. Data from Tax and Customs Board are received via an FTP-server and X-Road. Data from Unemployment Insurance Fund, Health Insurance Fund and Social Insurance Board are received via an FTP-server.
18.4. Data validation Process of monitoring the results of data compilation and ensuring the quality of statistical results.
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 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.