Title of statistical activity: Regional development
Code of statistical activity: 50101
- 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 8472
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 statistical activity includes data that allow the development of local and state-level strategies for regional development and serve as a basis for planning regional development actions and for monitoring the impact of regional development policies.
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)
Nomenclature of Territorial Units for Statistics (NUTS)
3.3. Sector coverage Main economic or other sectors covered by the statistics.
By the statistics are covered main fields of statistics – environment, population, economy and social life.
3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.
The main concept of this statistical activity is regional statistics. The regions are determined on the basis of the Territory of Estonia Administrative Division Act, according to which Estonia is divided into administrative and settlement units. Administrative units are counties, cities and rural municipalities. Settlement units are settlements and urban regions. Rural municipalities are divided into settlements which are villages, small towns, towns and cities without municipal status. Cities may consist of urban regions.
Information on the definitions and methodology used in fields of statistics is available in the Statistical Database.
3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.
Various statistics on local government units, counties and NUTS regions are published.
3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.
3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.
Estonia as a whole
Urban and rural settlements
3.8. Time coverage The length of time for which data are available.
The time series in the database have different lengths in different subject areas (finance since 1995, dwelling completions since 1999, and so on).
3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.
Unit according to the indicator (local budget in euros, data on land cadastre in hectares, etc.)
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 § 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.
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.
The news release “Average monthly gross income per employee” in May. The news release can be viewed on the website https://www.stat.ee/news-releases.
10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.
“Eesti piirkondlik areng. Regional Development in Estonia”
10.3. Online database Information about on-line databases in which the disseminated data can be accessed.
Data are published in the Statistical Database.
10.4. Microdata access Information on whether micro-data are also disseminated.
10.5. Other References to the most important other data dissemination done.
The data are used as input for the regional statistics portal (https://www.stat.ee/pp).
10.6. Documentation on methodology Descriptive text and references to methodological documents available.
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 the Interior
Ministry of Economic Affairs and Communications
Ministry of Social Affairs
Ministry of Rural Affairs
Ministry of the Environment
Ministry of Finance
Estonian Rescue Board
Estonian Tax and Customs Board
Eesti Töötukassa (Estonian Unemployment Insurance Fund)
Estonian Land Board
Register of construction works
Estonian National Library
Association of Municipalities of Estonia
Association of Estonian Cities
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.
In compliance with the rules
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.
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 institutes try to reduce non-sampling errors through continuous methodological and survey process improvements, e.g. by adopting computer-assisted data 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.
Publication of data takes place according to the release calendar.
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 data are geographically comparable.
15.2. Comparability - over time The extent to which statistics are comparable or reconcilable over time.
Comparability is affected by the merger of local government units.
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 fields, coherence issues should be taken into account.
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.
The following data on administrative units (counties, cities and rural municipalities) are received from administrative sources:
land registered in the land cadastre by ownership, way of acquisition during the land reform and intended purpose (from the Estonian Land Board);
average monthly gross income of employees (from the Estonian Tax and Customs Board);
operating revenue and expenditure of local budgets (incl. personal income tax receipts), grants from state budget equalisation and support fund, targeted financing received for acquisition of fixed assets, net debt burden of local governments (from the information system of governmental accounts of the Ministry of Finance);
dwelling completions, non-residential building completions (from the register of construction works of the Ministry of Economic Affairs and Communications);
subsistence benefits (from the Ministry of Social Affairs);
registered unemployed persons, persons receiving unemployment allowance and unemployment insurance benefit, amount of unemployment insurance benefit (from the Estonian Unemployment Insurance Fund);
number of companies that have submitted annual reports and their turnover (from the commercial register of the Centre of Registers and Information Systems);
main indicators of public libraries (from the National Library of Estonia);
number of accidents, incl. fires registered by fire and rescue services (from the Estonian Rescue Board);
number of pensioners and amount of pension by type, social insurance benefits by type of benefit, number of persons receiving benefit and by amount of the benefit (from the Social Insurance Board);
persons covered by health insurance and payments of health insurance benefits (from the Estonian Health Insurance Fund).
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 from administrative data sources are received as an Excel files.
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.
18.5. Data compilation Operations performed on data to derive new information according to a given set of rules.
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.