Title of statistical activity: Housing

Code of statistical activity: 20801

  1. Contact
  2. Metadata update
  3. Statistical presentation
  4. Unit of measure
  5. Reference period
  6. Institutional mandate
  7. Confidentiality
  8. Release policy
  9. Frequency of dissemination
  10. Accessibility and clarity
  11. Quality management
  12. Relevance
  13. Accuracy and reliability
  14. Timeliness and punctuality
  15. Coherence and comparability
  16. Cost and burden
  17. Data revision
  18. Statistical processing
  19. Comments

1. Contact Individual or organisational contact points for the data or metadata, including information on how to reach the contact points.

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.

Helerin Äär

1.4. Contact person function The area of technical responsibility of the contact, such as "methodology", "database management" or "dissemination".

Leading Statistician-Methodologist

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.

helerin.aar@stat.ee

1.7. Contact phone number The telephone number of the contact points for the data or metadata.

+372 625 9158

2. Metadata update The date on which the metadata element was inserted or modified in the database.

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

3.1. Data description Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated.

Dwelling owner: state, local government, Estonian person in private law, foreign person in private law, other, unspecified

Number and floor area of dwellings, 1 January

Dwelling stock by owner of dwelling: number and area of dwellings by number of rooms in the dwelling, number and area of dwellings by year of construction

Dwellings by facilities: piped water supply, sewerage, flush toilet, central heating, electrical heating, geothermal heating, stove or fireplace heating, bath or shower, sauna, gas (central supply), gas (local supply), electricity, kitchen, kitchenette; number of dwellings with the facilities, area of dwellings with the facilities

Residential buildings by number of dwellings in the building

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)

List of building use purposes

3.3. Sector coverage Main economic or other sectors covered by the statistics.

Dwelling – a single-family house, part of a semi-detached or terraced house, or an apartment which consists of one or more rooms, meets sanitary requirements and is suitable for year-round living

Area of dwelling – total floor area of compact, functionally connected, necessary and suitable living area (area of rooms) and ancillary rooms (kitchen, hallway, WC, laundry room, bathroom, hall, dressing room, storage room, built-in closet, veranda, pantry, connecting room, etc.)

Private sector dwelling stock – dwellings belonging to natural persons and legal persons based on private equity

Public sector dwelling stock – dwellings in state and municipal ownership

3.4. Statistical concepts and definitions Statistical characteristics of statistical observations.

Dwelling – a single-family house, part of a semi-detached or terraced house, or an apartment suitable for year-round living.

3.5. Statistical unit Entity for which information is sought and for which statistics are ultimately compiled.

Dwelling

3.6. Statistical population The total membership or population or "universe" of a defined class of people, objects or events.

Dwellings located in Estonia

FRAME

Dwellings in ADS

3.7. Reference area The country or geographic area to which the measured statistical phenomenon relates.

Estonia as a whole

Regional units

Administrative units

Counties

Urban and rural settlements

3.8. Time coverage The length of time for which data are available.

1994–…

3.9. Base period The period of time used as the base of an index number, or to which a constant series refers.

The calculations are based on the data of the year 2000 and 2011.

4. Unit of measure The unit in which the data values are measured.

Dwellings – number (thousand)

Dwellings – number

Area of dwellings – thousand m²

Average area of dwelling – m²

5. Reference period The period of time or point in time to which the measured observation is intended to refer.

1 January

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

Not available

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.

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. Release policy Rules for disseminating statistical data to interested parties.

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.

https://www.stat.ee/release-calendar

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.

Annual

10. Accessibility and clarity

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 “Economy / Real estate” 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.

Data serve as input for statistical activities 50101 “Regional development” and 50104 “Urban Audit”.

10.6. Documentation on methodology Descriptive text and references to methodological documents available.

The register-based population and housing census (REGREL) methodology is used.

The final report of the REGREL methodology development project (Tallinn, 2013) can be viewed as a methodology document, as it includes definitions.

10.7. Quality documentation Documentation on procedures applied for quality management and quality assessment.

The final report of the register-based housing and population census methodology development project (Tallinn, 2013) can be viewed as a methodology document, because it includes an analysis of registers and their suitability for use during the next census.

Report of the first trial census of REGREL.

11. Quality management Systems and frameworks in place within an organisation to manage the quality of statistical products and processes.

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.

12.1. User needs Description of users and their respective needs with respect to the statistical data.

Ministry of Economic Affairs and Communications

Ministry of Finance

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 (regulations)

13. Accuracy and reliability Accuracy: closeness of computations or estimates to the exact or true values that the statistics were intended to measure.
Reliability: closeness of the initial estimated value to the subsequent estimated value.

13.1. Overall accuracy Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components.

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.

Due to the combination of two data sources, coverage error should be taken into account – there may be over-coverage in the data, because the Register of Buildings and the Population and Housing Census use different definitions of “dwelling” (the first counts all officially approved dwellings; the census also enumerates dwellings that have not been officially approved, but where people already live).

14. Timeliness and punctuality

14.1. Timeliness Length of time between data availability and the event or phenomenon they describe.

The data are published 142 days after the end of the reference year (T + 142).

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.

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.

Coherence issues need to be taken into account when comparing different sources (Population and Housing Census, Estonian Social Survey).

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.

17. Data revision Any change in a value of a statistic released to the public.

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.

SURVEY DATA

Not used

ADMINISTRATIVE DATA

Register of Buildings

Land Register

Address Data System

DATA FROM OTHER STATISTICAL ACTIVITIES

Data from statistical activity 30003 “Register-based population and housing census” 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.

Data of the Address Data System (ADS) are received via X-Road (daily update). ADS data are also available on the FTP server (monthly update).

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.

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, estimates are imputed according to set rules. Variables and statistical units which were not collected but which are necessary for producing 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 variables. 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.

Not applied

19. Comments Supplementary descriptive text which can be attached to data or metadata.

Housing statistics have not been published since 2013. The new methodology has been developed within the framework of the register-based population and housing census (REGREL).