Title of statistical activity: Accommodation

Code of statistical activity: 22101

  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.

Enterprise and Agricultural Statistics Department

1.3. Contact name The name of the contact points for the data or metadata.

Helga Laurmaa

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

Leading Statistician

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.

+372 615 9261

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.

Accommodation by county

Accommodated tourists by country of residence, county and purpose of trip

Nights spent by country of residence of accommodated tourists, by county and purpose of trip

Population and respondents of the monthly survey of accommodation establishments

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

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

Accommodation establishments, EMTAK 551, 552, 553

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

Accommodation establishment – a business entity through which an enterprise provides accommodation services as part of its economic or professional activity. Accommodation establishments can be classified as follows: hotels, motels, guesthouses, hostels, holiday camps, cottages, apartments, bed-and-breakfasts. Tourism accommodation has been divided into two main groups: collective accommodation establishments (serve tourists as business entities) and private tourist accommodation. The accommodation statistics take into account only the data of collective accommodation.

Accommodation service – the offer or sale of regular or occasional sleeping accommodation and supplementary goods or services.

Accommodated tourist – a tourist or an overnight visitor who stays at least one night in a hotel, motel or any other kind of collective accommodation establishment.

Average cost of a guest night – the average cost of one guest night in an accommodation establishment, which includes value-added tax and the cost of breakfast if it is sold with the accommodation service

Bed occupancy rate – the ratio of the number of total overnight stays and the total number of bed places on offer in percentages. The bed places of rooms under repair and of rooms temporarily closed for other reasons are not taken into account.

Bed place – a single bed; double bed being counted as two bed places. This unit is used for measuring the capacity of all types of accommodation establishments. Any extra beds are ignored.

Bedroom – the unit formed by one room or groups of rooms constituting an indivisible rental in an accommodation establishment or dwelling. Rooms may be single, double or multiple, depending on whether they are equipped permanently to accommodate one, two or several people. The number of existing rooms is the number of rooms that the establishment habitually has available to accommodate tourists, excluding rooms used by the employees working for the establishment. If a room is used as a permanent residence (for more than a year) it should not be included. Bathrooms and toilets do not count as a room. An apartment is a special type of room. It consists of one or more rooms and has a kitchen unit and its own bathroom and toilet.

Foreign or international visitor – a permanent resident of a foreign country who travels within Estonia.

Room occupancy rate – the ratio of the number of rooms on offer and actually occupied rooms in percentages. The rooms under repair and temporarily closed for other reasons are not taken into account.

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


Kind-of-activity unit (KAU)

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

Accommodation establishments with at least 5 bed places


List of active enterprises whose main or secondary activity is accommodation. The list is generated from the Business Register for Statistical Purposes.

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

Estonia as a whole

Counties and cities (Tallinn, Tartu, Pärnu)

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

Accommodation 1993–…

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.

Accommodation establishment, room, bedplace, accommodated tourist, nights spent – number.

Room occupancy rate, bed occupancy rate – %.

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.


Regulation (EU) No 692/2011 of the European Parliament and of the Council of 6 July 2011 concerning European statistics on tourism and repealing Council Directive 95/57/EC

Regulation (EU) No 1051/2011 of 20 October 2011 implementing Regulation (EU) No 692/2011 of the European Parliament and of the Council concerning European statistics on tourism, as regards the structure of the quality reports and the transmission of the data


Not available


Statistical Office of the European Union (Eurostat)

Organisation for Economic Co-operation and Development (OECD)

World Tourism Organization (UNWTO)

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.


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.

The news release “Accommodation” once a month. The news release can be viewed on the website http//www.stat.ee/news-releases.

10.2. Publications Regular or ad-hoc publications in which the data are made available to the public.

Eesti Statistika Kvartalikiri. Quarterly Bulletin of Statistics Estonia

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 / Tourism, accommodation and catering” 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 21403 “Tourism satellite accounts”, 50101 “Rregional development” and 50104 “Urban Audit”.

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

Methodological manual for tourism statistics Version 3.1 (2014 edition)


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

ESQRS based quality report has been submitted to Eurostat.

Data on the population and respondents are published in the Statistical Database, table TR17: Population and respondents of the survey of accommodation establishments (months).

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

Estonian Tourist Board

Eesti Pank

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 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.

Not applicable

13.3. Non-sampling error Error in survey estimates which cannot be attributed to sampling fluctuations.

The response rates in different groups are published in the Statistical Database.

14. Timeliness and punctuality

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

The data are published 40 days after the end of the reference month (T + 40).

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 comparable with the data of other European Union countries.

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.

The definitions in Accommodation survey and in Travelling of Estonian residents survey are coherent.

15.4. Coherence - internal The extent to which statistics are consistent within a given data set.

The outputs of the statistical activity are coherent. Higher-level aggregations are derived from detailed data according to pre-defined procedures.

16. Cost and burden Cost associated with the collection and production of a statistical product and burden on respondents.

Total time of filling in reports of thestatistical activity, working days: 1303.8

Average time of filling in the reports, hours per report:

Majutustegevus 0.9

(data for 2016)

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 within two years from the end of the reference period.

18. Statistical processing

18.1. Source data Characteristics and components of the raw statistical data used for compiling statistical aggregates.


The population is 1,700 objects. All accommodation establishments with 5 and more bed places are observed.


Not used


Not 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 are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on Statistics Estonia’s website at https://www.stat.ee/andmete-esitamine (in Estonian).

Data are collected with the monthly statistical questionnaire “Majutustegevus”.

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.

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.

Microdata are aggregated to the level necessary for analysis. This includes aggregating the data according to the classification, and calculating various statistical measures.

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.

Not applied

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

As of 2016, there are two different statistical activities 22101 “Accommodation” and 22109 “Accommodation establishments”.