Title of statistical activity: Urban audit

Code of statistical activity: 50104

  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

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.

Marika Kivilaid

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 8474

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.


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.

Population by sex, age and nationality, households by type and place of residence, number of conventional dwellings, average price for buying an apartment and rent for housing, number of live births and deaths, labour force by sex and age, employed persons by sex and age, unemployed persons by sex, number of companies, household income, number of students in higher education by sex, share of early school leavers from education and training by sex, municipal waste generated, use of water, number of bed-places and nights spent in tourist accommodation establishments, number of private cars registered, number of cinema seats, theatres and public libraries, cinema attendance and museum visits, population and area at LAU2 level

3.2. Classification system Arrangement or division of objects into groups based on characteristics which the objects have in common.

Nomenclature of Territorial Units for Statistics (NUTS)

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

The statistical activity covers the main fields of statistics – environment, population, economy and social life.

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

The main definitions are available in Eurostat’s publication “Methodological Manual on City Statistics”.

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

Person, household, dwelling, economic unit, accommodation establishment

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

Cities with a population over 50,000, LAU2 regions


Not applicable

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

Estonia as a whole

Tallinn, Tartu and Narva cities

Harju and Tartu counties

LAU2 regions

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

1991, 1996, 2001, 2004, 2007–2009, 2010–2012, 2013–2014, 2015–2016

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.

Various units of measure

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


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.


Not available


Not available


Statistical Office of the European Union (Eurostat)

All data supply on urban statistics is based on a voluntary agreement, as there is no Community legislation yet on this topic.

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.

Not applicable

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.


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.


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 “Cities (Urban Audit)” in the Eurostat database at http://ec.europa.eu/eurostat/web/cities/data/database.

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.

2011 Population and Housing Census. Methodology

The Estonian Social Survey. Methodological Report

Estonian Labour Force Survey 1995–2012. Methodology


Methodological Manual on City Statistics

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

Not available

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 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.

To be determined in the process of development.

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 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.

Not applicable

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 improvements 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.

Not applicable

14.2. Punctuality Time lag between the actual delivery of the data and the target date when it should have been delivered.

The data collected on time are transmitted to Eurostat. The data are published on Eurostat website.

15. Coherence and comparability

15.1. Comparability - geographical The extent to which statistics are comparable between geographical areas.

Most data are comparable across countries, since the survey is based on a common methodology. If there are any differences, 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.

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.

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.


Not used


Data on costs of monthly ticket of public transport and taxi ride are received from the city governments of Tallinn, Tartu and Narva.


Data from statistical activities 10302 “Water use“, 10401 “Waste management”, 20902 “Statistics of economic units”, 22025 “Traffic accidents”, 22027 “Registered motor vehicles“, 22101 “Accommodation”, 30101 “Population”, 30205 “Vital events. Deaths and causes of death”, 30206 “Vital events. Births”, 40009 “Income, poverty and material deprivation“, 40205 “Living conditions”, 40310 “Formal education”, 40407 “Museum“, 40410 “Public library“, 40414 “Theatre“, 40701 “Labour Force Survey” and 50101 “Regional development“ 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 administrative sources are received as 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 the data of previous periods and other surveys.

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 calculation of 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.

Not applicable

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

The statistical activity is based on Eurostat’s two-year grant, where the variables to be collected and the reference period are determined.