Title of statistical activity: Time Use Survey
Code of statistical activity: 40101
- 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.
Tatari 51, 10134 Tallinn
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 9116
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.
The international time use survey:
- measures the time people spend on paid work, studying, household work, movement, care in households, personal activities;
- formulates the concept of non-market oriented work, which encompasses household work of household members, voluntary work on local government level or for some organisation, etc.;
- describes gender, family and civil policy;
- enhances social accounting by adding to national accounts estimates of unpaid work of household members.
The time use survey consists of four parts: household questionnaire, personal questionnaire, personal diaries and weekly diary.
3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.
Classification of Estonian administrative units and settlements (EHAK)
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
International Standard Classification of Occupations (ISCO 08)
International Standard Classification of Education (ISCED 2011)
Classification of Ethnicities 2011
International Standard Codes for the Representation of the Names of Countries (ISO 3166)
Codes for the Representation of Names of Languages (ISO 639-2)
Activity coding list
3.3. Sector coverage Main economic or other sectors covered by the statistics.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
Adult and child(ren) – a household consisting of one adult and at least one child aged 0–17.
Basic and lower education – without primary education; primary education and basic education.
Couple aged 65 and over without children – a household consisting of two members, both aged 65 or more.
Couple with children aged 0–17 – a legally married or cohabiting couple with at least one child aged 0–17.
Couple with minor and adult children – a household consisting of two adults, at least one child aged 0–17 and at least one child aged 18 or over.
Couple with one child – a household consisting of two adults and one child aged 0–17.
Couple without children – a legally married or cohabiting couple without children aged under 18.
Couple without children, at least one partner is aged under 65 – household consisting of two adults, at least one of them aged 64 or less.
Couple with three or more children – a household consisting of two adults and at least three children aged 0–17.
Couple with two children – a household consisting of two adults and two children aged 0–17.
Higher education – specialized secondary education, vocational higher education, university education or postgraduate degree.
Household – a group of persons living in the common main dwelling (at the same address), who share joint financial and/or food resources and whose members consider themselves to belong to the same household. Household can also consist of one member only.
Household with children – a household where there is at least one child aged 0–17.
Household without children – a household where there are no children aged 0–17.
Primary activity – the main activity. E.g. childcare may be a primary activity and watching TV at the same time a secondary activity.
Rural settlement – small town or village.
Secondary activity – ancillary activity in addition to primary activity in the case of simultaneous activities. E.g. childcare may be a primary activity and watching TV at the same time a secondary activity. Respondent has to decide which activity is the main and which activity the secondary activity.
Secondary education – general secondary education and vocational secondary education.
Single – a household consisting of one member.
Single parent with children aged 0–17 – a household with one adult and at least one child aged under 18.
Single person aged over 64 – household consisting of one person aged 65 or more.
Single person aged under 65 – a household consisting of one person aged 64 or less.
Urban settlement – city, city without municipal status, or town.
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.
Population aged 10 years and older
A list of permanent residents of Estonia compiled based on the population and housing census (2011) and 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
Statistical Office of the European Union (Eurostat)
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.
Over ten years
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.
Eesti rahvastiku ajakasutus. Time Use of the Population of Estonia (2012)
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 / Time Use” 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.
Time use survey 2009–2010. Methodology report. Statistics Estonia (2011)
10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.
Ajakasutuse uuring 2009-2010. Metoodika raport
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
State authorities – for analysing the current situation, developing action plans and policies
Local governments – for analysing the current situation, developing action plans
Research and educational institutions, libraries – for doing research and analyses, disseminating statistical information
Media – for disseminating statistical information to the general public
Companies, associations, foundations – for analysing the current situation, determining trends and making projections
International organisations and Eurostat – for assessing and analysing the situation in Estonia, developing international policies
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.
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.
The error due to probability sampling is estimated.
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 in the register. 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 (wording of questions, design, etc.), the respondents, the interviewers and the data collection method. While it is impossible to avoid this type of errors completely in social surveys, steps have been taken in Statistics Estonia to reduce them as much as possible.
Data checking is done in three stages: preliminary data entry checking in the laptop during the interview, secondary checking of newly received data in the office and finally data cleaning.
Data entry mistakes have decreased thanks to the continuing development of primary logical checks in the data entry program.
14. Timeliness and punctuality
14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.
The data are published 8 months (240 days) after the end of the reporting 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 calender.
15. Coherence and comparability
15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.
Most data are comparable across countries due to the use of a common methodology. However, some differences can occur, in which case explanations are added to the data.
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.
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 70 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.
The population consists of 1,212,00 objects. The sample size is 7,500 households (14,000 persons). Sample is based on simple stratified random selection by household dwelling location.
Data on percentage of loss of capacity for work (20, 30, etc., up to 100) and on degree of disability (moderate, severe, profound) are received from the Social Insurance Board
DATA FROM OTHER STATISTICAL ACTIVITIES
18.2. Frequency of data collection Frequency with which the source data are collected.
Over ten years
18.3. Data collection Systematic process of gathering data for official statistics.
The household and personal surveys are conducted as a personal interview – the data are entered on a laptop, and from there they will be loaded into a database (CAPI – computer-assisted personal interviewing).
The personal and weekly diaries are filled in by the respondent in hard copy.
Data from the Estonian National 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.
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.
In the case of missing or unreliable data, estimate imputation based on established regulations will be 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.
The weights are calculated on the basis of design weights derived from inclusion probabilities. The weights, which are first adjusted to compensate for the bias caused by non-response and then calibrated to the population data, are used in calculating the final data. The basis of the calibration is the distribution of the population of Estonia by sex and age group and county on the 1st of January according to demographic data.
Microdata are aggregated to the level necessary for analysis. This includes summation of data according to the classification and calculating various statistical measures, e.g. average, median, dispersion, etc. The collected data are converted into statistical output. This includes calculating additional variables.
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.